From c191b1826b87208a326c122280c9674545b25f28 Mon Sep 17 00:00:00 2001 From: Edward Donner Date: Mon, 16 Sep 2024 10:45:25 -0400 Subject: [PATCH] Now with more weeks! --- .gitignore | 3 + README.md | 98 +- environment.yml | 425 +- requirements.txt | 37 + voyage.jpg | Bin 0 -> 778852 bytes week1/day5.ipynb | 2 +- week2/day1.ipynb | 2 +- week2/day2.ipynb | 2 +- week2/day3.ipynb | 16 +- week4/day4.ipynb | 2 +- week5/day1.ipynb | 383 ++ week5/day2.ipynb | 322 ++ week5/day3.ipynb | 3365 ++++++++++++ week5/day4.5.ipynb | 3433 ++++++++++++ week5/day4.ipynb | 3432 ++++++++++++ week5/day5.ipynb | 3581 +++++++++++++ week5/knowledge-base/company/about.md | 4 + week5/knowledge-base/company/careers.md | 3 + week5/knowledge-base/company/overview.md | 10 + week5/knowledge-base/contracts/.md | 63 + ...Powered Enterprise Reinsurance Solution.md | 53 + ...t with Belvedere Insurance for Markellm.md | 43 + ...t with BrightWay Solutions for Markellm.md | 63 + ...Powered Enterprise Reinsurance Solution.md | 58 + ...t with GreenField Holdings for Markellm.md | 34 + ... with GreenValley Insurance for Homellm.md | 77 + ...t with Greenstone Insurance for Homellm.md | 73 + ...with Pinnacle Insurance Co. for Homellm.md | 39 + ... with Roadway Insurance Inc. for Carllm.md | 44 + ...ct with Stellar Insurance Co. for Rellm.md | 48 + ...act with TechDrive Insurance for Carllm.md | 59 + ...with Velocity Auto Solutions for Carllm.md | 52 + week5/knowledge-base/employees/Alex Chen.md | 46 + week5/knowledge-base/employees/Alex Harper.md | 57 + .../knowledge-base/employees/Alex Thomson.md | 36 + .../employees/Avery Lancaster.md | 63 + .../knowledge-base/employees/Emily Carter.md | 48 + week5/knowledge-base/employees/Emily Tran.md | 72 + .../knowledge-base/employees/Jordan Blake.md | 34 + .../employees/Jordan K. Bishop.md | 37 + .../employees/Maxine Thompson.md | 53 + .../employees/Oliver Spencer.md | 36 + .../employees/Samantha Greene.md | 49 + .../employees/Samuel Trenton.md | 53 + week5/knowledge-base/products/Carllm.md | 67 + week5/knowledge-base/products/Homellm.md | 45 + week5/knowledge-base/products/Markellm.md | 55 + week5/knowledge-base/products/Rellm.md | 60 + week6/day1.ipynb | 533 ++ week6/day2.ipynb | 935 ++++ week6/day3.ipynb | 856 +++ week6/day4.ipynb | 4705 +++++++++++++++++ week6/items.py | 101 + week6/loaders.py | 81 + week6_wip/day1-electronics-pricer.ipynb | 2156 ++++++++ week6_wip/day1-instruct.ipynb | 799 +++ week6_wip/day1-multi.ipynb | 942 ++++ week6_wip/day1-pricer-qwen.ipynb | 1030 ++++ week6_wip/day1-pricer.ipynb | 2322 ++++++++ week6_wip/day1-product.ipynb | 3130 +++++++++++ week6_wip/day1-product2.ipynb | 2207 ++++++++ week6_wip/day1.ipynb | 718 +++ week6_wip/human.csv | 200 + week6_wip/items-backup.py | 101 + week6_wip/items.py | 94 + week6_wip/items_processing.py | 133 + week6_wip/items_qwen.py | 94 + week6_wip/test.csv | 200 + 68 files changed, 37568 insertions(+), 406 deletions(-) create mode 100644 requirements.txt create mode 100644 voyage.jpg create mode 100644 week5/day1.ipynb create mode 100644 week5/day2.ipynb create mode 100644 week5/day3.ipynb create mode 100644 week5/day4.5.ipynb create mode 100644 week5/day4.ipynb create mode 100644 week5/day5.ipynb create mode 100644 week5/knowledge-base/company/about.md create mode 100644 week5/knowledge-base/company/careers.md create mode 100644 week5/knowledge-base/company/overview.md create mode 100644 week5/knowledge-base/contracts/.md create mode 100644 week5/knowledge-base/contracts/Contract with Apex Reinsurance for Rellm: AI-Powered Enterprise Reinsurance Solution.md create mode 100644 week5/knowledge-base/contracts/Contract with Belvedere Insurance for Markellm.md create mode 100644 week5/knowledge-base/contracts/Contract with BrightWay Solutions for Markellm.md create mode 100644 week5/knowledge-base/contracts/Contract with EverGuard Insurance for Rellm: AI-Powered Enterprise Reinsurance Solution.md create mode 100644 week5/knowledge-base/contracts/Contract with GreenField Holdings for Markellm.md create mode 100644 week5/knowledge-base/contracts/Contract with GreenValley Insurance for Homellm.md create mode 100644 week5/knowledge-base/contracts/Contract with Greenstone Insurance for Homellm.md create mode 100644 week5/knowledge-base/contracts/Contract with Pinnacle Insurance Co. for Homellm.md create mode 100644 week5/knowledge-base/contracts/Contract with Roadway Insurance Inc. for Carllm.md create mode 100644 week5/knowledge-base/contracts/Contract with Stellar Insurance Co. for Rellm.md create mode 100644 week5/knowledge-base/contracts/Contract with TechDrive Insurance for Carllm.md create mode 100644 week5/knowledge-base/contracts/Contract with Velocity Auto Solutions for Carllm.md create mode 100644 week5/knowledge-base/employees/Alex Chen.md create mode 100644 week5/knowledge-base/employees/Alex Harper.md create mode 100644 week5/knowledge-base/employees/Alex Thomson.md create mode 100644 week5/knowledge-base/employees/Avery Lancaster.md create mode 100644 week5/knowledge-base/employees/Emily Carter.md create mode 100644 week5/knowledge-base/employees/Emily Tran.md create mode 100644 week5/knowledge-base/employees/Jordan Blake.md create mode 100644 week5/knowledge-base/employees/Jordan K. Bishop.md create mode 100644 week5/knowledge-base/employees/Maxine Thompson.md create mode 100644 week5/knowledge-base/employees/Oliver Spencer.md create mode 100644 week5/knowledge-base/employees/Samantha Greene.md create mode 100644 week5/knowledge-base/employees/Samuel Trenton.md create mode 100644 week5/knowledge-base/products/Carllm.md create mode 100644 week5/knowledge-base/products/Homellm.md create mode 100644 week5/knowledge-base/products/Markellm.md create mode 100644 week5/knowledge-base/products/Rellm.md create mode 100644 week6/day1.ipynb create mode 100644 week6/day2.ipynb create mode 100644 week6/day3.ipynb create mode 100644 week6/day4.ipynb create mode 100644 week6/items.py create mode 100644 week6/loaders.py create mode 100644 week6_wip/day1-electronics-pricer.ipynb create mode 100644 week6_wip/day1-instruct.ipynb create mode 100644 week6_wip/day1-multi.ipynb create mode 100644 week6_wip/day1-pricer-qwen.ipynb create mode 100644 week6_wip/day1-pricer.ipynb create mode 100644 week6_wip/day1-product.ipynb create mode 100644 week6_wip/day1-product2.ipynb create mode 100644 week6_wip/day1.ipynb create mode 100644 week6_wip/human.csv create mode 100644 week6_wip/items-backup.py create mode 100644 week6_wip/items.py create mode 100644 week6_wip/items_processing.py create mode 100644 week6_wip/items_qwen.py create mode 100644 week6_wip/test.csv diff --git a/.gitignore b/.gitignore index c604e02..75364f2 100644 --- a/.gitignore +++ b/.gitignore @@ -165,3 +165,6 @@ model_cache/ # Ignore Chroma vector database vector_db/ + +# And ignore any pickle files made during the course +*.pkl diff --git a/README.md b/README.md index 0add5e5..3b4b814 100644 --- a/README.md +++ b/README.md @@ -1,2 +1,96 @@ -# llm_engineering -Repo to accompany my mastering LLM engineering course +# LLM Engineering - Master AI and LLMs + +## Your 8 week journey to proficiency starts today + +![Voyage](voyage.jpg){width=500} + +I'm so happy you're joining me on this path. We'll be building immensely satisfying projects in the coming weeks. Some will be easy, some will be challenging, many will ASTOUND you! The projects build on each other so you develop deeper and deeper expertise each week. One thing's for sure: you're going to have a lot of fun along the way. + +### How this Jupyter Lab is organized + +There are folders for each of the "weeks", representing modules of the class. +Follow the setup instructions below, then open the Week 1 folder and prepare for joy. + +### The most important part + +The matra of the course is: the best way to learn is by **DOING**. You should work along with me, running each cell, inspecting the objects to get a detailed understanding of what's happening. Then tweak the code and make it your own. There are juicy challenges for you throughout the course. I'd love it if you wanted to push your code so I can follow along with your progress, and I can make your solutions available to others so we share in your progress. + +## Setup instructions + +By far the recommended approach is to use Anaconda for your environment. Even if you've never used it before, it makes such a difference. Anaconda ensures that you're working with the right version of Python and all your packages are compatible with mine, even if we're on different platforms. + +### Getting ready to set up + +Clone this repo by clicking on the dropdown in the green 'Code' button in Github, copying the URL to the clip board, and entering `git clone ` in your terminal. + +Then if you've not used Anaconda before, install it for your platform. You will thank me! It's the best. +Link to install Anaconda: +https://docs.anaconda.com/anaconda/install/ + +### Setup instructions in 4 steps + +1. Create a new Anaconda environment for this project. It's like virtualenv, only infinitely better. + +`conda env create -f environment.yml` + +2. Activate the environment: + +`conda activate llms` + +3. Start your Jupyter Lab + +`jupyter lab` + +4. Get a celebratory cup of coffee and prepare for coding! + +### When we get to it, creating your API keys + +Particularly during weeks 1 and 2 of the course, you'll be writing code to call the APIs of Frontier models. You'll need to join me in setting up accounts and API keys. + +- [GPT API](https://platform.openai.com/) from OpenAI +- [Claude API](https://console.anthropic.com/) from Anthropic +- [Gemini API](https://ai.google.dev/gemini-api) from Google + +Initially we'll only use OpenAI, so you can start with that, and we'll cover the others soon afterwards. + +Later in the course you'll be using a HuggingFace account, which is available for free at https://huggingface.co - you'll need to create an API token from the Avatar menu >> Settings >> Access Tokens. + +When you have these keys, please create a new file called `.env` in your project root directory. + +It should have contents like this: + +``` +OPENAI_API_KEY=xxxx +GOOGLE_API_KEY=xxxx +ANTHROPIC_API_KEY=xxxx +HF_TOKEN=xxxx +``` + +This file is listed in the `.gitignore` file, so it won't get checked in and your keys stay safe. + +## And that's it! Happy coding! + +### Alternative Setup Instructions if you're a die-hard virtualenv-er + +Well if you must! Just be sure to be running python 3.11, or we might hit compatibility snags. + +Here are the steps: + +After cloning the repo: + +1. Create a new virtual environment using something like `python3 -m venv /path/to/new/virtual/environment` +2. Activate the virtual environment with `source /path/to/new/virtual/environment/bin/activate` +3. Create a file called `.env` in the project root directory (this is .gitignored) and add any private API keys, such as below. + +``` +OPENAI_API_KEY=xxxx +GOOGLE_API_KEY=xxxx +ANTHROPIC_API_KEY=xxxx +HF_TOKEN=xxxx +``` + +4. From the repo root directory, run `pip install -r requirements.txt` +5. Run `jupyter lab` to launch Jupyter and head over to the intro folder to get started. + +Let me know if you hit problems, and try looking in the environment.yml file to see if there are clues for any other packages that need to be installed in your system. +Or... try Anaconda!! \ No newline at end of file diff --git a/environment.yml b/environment.yml index fe83573..5242f36 100644 --- a/environment.yml +++ b/environment.yml @@ -1,392 +1,41 @@ -name: llm_engineering +name: llms channels: - conda-forge - defaults dependencies: - - accelerate=0.33.0 - - aiofiles=22.1.0 - - aiohttp=3.9.5 - - aiosignal=1.2.0 - - annotated-types=0.6.0 - - ansi2html=1.9.1 - - anthropic=0.34.1 - - anyio=4.2.0 - - aom=3.9.1 - - appnope=0.1.2 - - argon2-cffi=21.3.0 - - argon2-cffi-bindings=21.2.0 - - asttokens=2.0.5 - - async-lru=2.0.4 - - async-timeout=4.0.3 - - attrs=23.1.0 - - aws-c-auth=0.7.26 - - aws-c-cal=0.7.4 - - aws-c-common=0.9.27 - - aws-c-compression=0.2.19 - - aws-c-event-stream=0.4.3 - - 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zlib=1.3.1 - - zstd=1.5.6 + - python=3.11 + - pip + - python-dotenv + - requests + - beautifulsoup4 + - pydub + - numpy + - pandas + - scipy + - pytorch + - jupyterlab + - ipywidgets + - pyarrow + - anthropic + - google-generativeai + - matplotlib + - scikit-learn + - chromadb + - langchain + - langchain-text-splitters + - langchain-openai + - langchain-experimental + - langchain-chroma + - faiss-cpu + - tiktoken + - jupyter-dash + - plotly + - pip: + - transformers + - datasets + - accelerate + - sentencepiece + - bitsandbytes + - openai + - gradio + - gensim diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000..8471a21 --- /dev/null +++ b/requirements.txt @@ -0,0 +1,37 @@ +python-dotenv +jupyterlab +ipywidgets +requests +numpy +pandas +scipy +scikit-learn +matplotlib +gensim +torch +transformers +accelerate +sentencepiece +bitsandbytes +tqdm +openai +gradio +langchain +tiktoken +faiss-cpu +langchain-openai +langchain_experimental +langchain_chroma 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+1155,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.9" + "version": "3.11.10" } }, "nbformat": 4, diff --git a/week2/day1.ipynb b/week2/day1.ipynb index c2fff58..9f46f55 100644 --- a/week2/day1.ipynb +++ b/week2/day1.ipynb @@ -648,7 +648,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.9" + "version": "3.11.10" } }, "nbformat": 4, diff --git a/week2/day2.ipynb b/week2/day2.ipynb index f1128a6..ed9a1cf 100644 --- a/week2/day2.ipynb +++ b/week2/day2.ipynb @@ -759,7 +759,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.9" + "version": "3.11.10" } }, "nbformat": 4, diff --git a/week2/day3.ipynb b/week2/day3.ipynb index 62b33a0..b6b4bbe 100644 --- a/week2/day3.ipynb +++ b/week2/day3.ipynb @@ -136,7 +136,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Running on local URL: http://127.0.0.1:7870\n", + "Running on local URL: http://127.0.0.1:7860\n", "\n", "To create a public link, set `share=True` in `launch()`.\n" ] @@ -144,7 +144,7 @@ { "data": { "text/html": [ - "
" + "
" ], "text/plain": [ "" @@ -168,15 +168,7 @@ "History is:\n", "[]\n", "And messages is:\n", - "[{'role': 'system', 'content': 'You are a helpful assistant'}, {'role': 'user', 'content': 'Hello there'}]\n", - "History is:\n", - "[['Hello there', 'Hello! How can I assist you today?']]\n", - "And messages is:\n", - "[{'role': 'system', 'content': 'You are a helpful assistant'}, {'role': 'user', 'content': 'Hello there'}, {'role': 'assistant', 'content': 'Hello! How can I assist you today?'}, {'role': 'user', 'content': 'I want to buy a tie'}]\n", - "History is:\n", - "[['Hello there', 'Hello! How can I assist you today?'], ['I want to buy a tie', 'Great! What kind of tie are you looking for? Do you have a specific color, pattern, or material in mind? Additionally, do you need it for a special occasion or just for general use?']]\n", - "And messages is:\n", - "[{'role': 'system', 'content': 'You are a helpful assistant'}, {'role': 'user', 'content': 'Hello there'}, {'role': 'assistant', 'content': 'Hello! How can I assist you today?'}, {'role': 'user', 'content': 'I want to buy a tie'}, {'role': 'assistant', 'content': 'Great! What kind of tie are you looking for? Do you have a specific color, pattern, or material in mind? Additionally, do you need it for a special occasion or just for general use?'}, {'role': 'user', 'content': 'A red one'}]\n" + "[{'role': 'system', 'content': 'You are a helpful assistant'}, {'role': 'user', 'content': 'hello'}]\n" ] } ], @@ -403,7 +395,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.9" + "version": "3.11.10" } }, "nbformat": 4, diff --git a/week4/day4.ipynb b/week4/day4.ipynb index 918ebef..f5a7813 100644 --- a/week4/day4.ipynb +++ b/week4/day4.ipynb @@ -772,7 +772,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.9" + "version": "3.11.10" } }, "nbformat": 4, diff --git a/week5/day1.ipynb b/week5/day1.ipynb new file mode 100644 index 0000000..e942925 --- /dev/null +++ b/week5/day1.ipynb @@ -0,0 +1,383 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "dfe37963-1af6-44fc-a841-8e462443f5e6", + "metadata": {}, + "source": [ + "## Expert Knowledge Worker\n", + "\n", + "### A question answering agent that is an expert knowledge worker\n", + "### To be used by employees of Insurellm, an Insurance Tech company\n", + "### The agent needs to be accurate and the solution should be low cost.\n", + "\n", + "This project will use RAG (Retrieval Augmented Generation) to ensure our question/answering assistant has high accuracy.\n", + "\n", + "This first implementation will use a simple, brute-force type of RAG.." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "ba2779af-84ef-4227-9e9e-6eaf0df87e77", + "metadata": {}, + "outputs": [], + "source": [ + "# imports\n", + "\n", + "import os\n", + "import glob\n", + "from dotenv import load_dotenv\n", + "import gradio as gr\n", + "from openai import OpenAI" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "58c85082-e417-4708-9efe-81a5d55d1424", + "metadata": {}, + "outputs": [], + "source": [ + "# price is a factor for our company, so we're going to use a low cost model\n", + "\n", + "MODEL = \"gpt-4o-mini\"" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "ee78efcb-60fe-449e-a944-40bab26261af", + "metadata": {}, + "outputs": [], + "source": [ + "# Load environment variables in a file called .env\n", + "\n", + "load_dotenv()\n", + "os.environ['OPENAI_API_KEY'] = os.getenv('OPENAI_API_KEY', 'your-key-if-not-using-env')\n", + "openai = OpenAI()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "9e0652c2-3d76-40c7-8313-9dc1895155a8", + "metadata": {}, + "outputs": [], + "source": [ + "context = {}\n", + "\n", + "employees = glob.glob(\"knowledge-base/employees/*\")\n", + "\n", + "for employee in employees:\n", + " name = employee.split(' ')[-1][:-3]\n", + " doc = \"\"\n", + " with open(employee, \"r\") as f:\n", + " doc = f.read()\n", + " context[name]=doc" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "2c85a11b-b04d-4066-b243-f96139ca106f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "\"# Avery Lancaster\\n\\n## Summary\\n- **Date of Birth**: March 15, 1985 \\n- **Job Title**: Co-Founder & Chief Executive Officer (CEO) \\n- **Location**: San Francisco, California \\n\\n## Insurellm Career Progression\\n- **2015 - Present**: Co-Founder & CEO \\n Avery Lancaster co-founded Insurellm in 2015 and has since guided the company to its current position as a leading Insurance Tech provider. Avery is known for her innovative leadership strategies and risk management expertise that have catapulted the company into the mainstream insurance market. \\n\\n- **2013 - 2015**: Senior Product Manager at Innovate Insurance Solutions \\n Before launching Insurellm, Avery was a leading Senior Product Manager at Innovate Insurance Solutions, where she developed groundbreaking insurance products aimed at the tech sector. \\n\\n- **2010 - 2013**: Business Analyst at Edge Analytics \\n Prior to joining Innovate, Avery worked as a Business Analyst, focusing on market trends and consumer preferences in the insurance space. This position laid the groundwork for Avery’s future entrepreneurial endeavors.\\n\\n## Annual Performance History\\n- **2015**: **Exceeds Expectations** \\n Avery’s leadership during Insurellm's foundational year led to successful product launches and securing initial funding. \\n\\n- **2016**: **Meets Expectations** \\n Growth continued, though challenges arose in operational efficiency that required Avery's attention. \\n\\n- **2017**: **Developing** \\n Market competition intensified, and monthly sales metrics were below targets. Avery implemented new strategies which required a steep learning curve. \\n\\n- **2018**: **Exceeds Expectations** \\n Under Avery’s pivoted vision, Insurellm launched two new successful products that significantly increased market share. \\n\\n- **2019**: **Meets Expectations** \\n Steady growth, however, some team tensions led to a minor drop in employee morale. Avery recognized the need to enhance company culture. \\n\\n- **2020**: **Below Expectations** \\n The COVID-19 pandemic posed unforeseen operational difficulties. Avery faced criticism for delayed strategy shifts, although efforts were eventually made to stabilize the company. \\n\\n- **2021**: **Exceptional** \\n Avery's decisive transition to remote work and rapid adoption of digital tools led to record-high customer satisfaction levels and increased sales. \\n\\n- **2022**: **Satisfactory** \\n Avery focused on rebuilding team dynamics and addressing employee concerns, leading to overall improvement despite a saturated market. \\n\\n- **2023**: **Exceeds Expectations** \\n Market leadership was regained with innovative approaches to personalized insurance solutions. Avery is now recognized in industry publications as a leading voice in Insurance Tech innovation.\\n\\n## Compensation History\\n- **2015**: $150,000 base salary + Significant equity stake \\n- **2016**: $160,000 base salary + Equity increase \\n- **2017**: $150,000 base salary + Decrease in bonus due to performance \\n- **2018**: $180,000 base salary + performance bonus of $30,000 \\n- **2019**: $185,000 base salary + market adjustment + $5,000 bonus \\n- **2020**: $170,000 base salary (temporary reduction due to COVID-19) \\n- **2021**: $200,000 base salary + performance bonus of $50,000 \\n- **2022**: $210,000 base salary + retention bonus \\n- **2023**: $225,000 base salary + $75,000 performance bonus \\n\\n## Other HR Notes\\n- **Professional Development**: Avery has actively participated in leadership training programs and industry conferences, representing Insurellm and fostering partnerships. \\n- **Diversity & Inclusion Initiatives**: Avery has championed a commitment to diversity in hiring practices, seeing visible improvements in team representation since 2021. \\n- **Work-Life Balance**: Feedback revealed concerns regarding work-life balance, which Avery has approached by implementing flexible working conditions and ensuring regular check-ins with the team.\\n- **Community Engagement**: Avery led community outreach efforts, focusing on financial literacy programs, particularly aimed at underserved populations, improving Insurellm's corporate social responsibility image. \\n\\nAvery Lancaster has demonstrated resilience and adaptability throughout her career at Insurellm, positioning the company as a key player in the insurance technology landscape.\"" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "context[\"Lancaster\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "a1d231f9-091e-4c72-b0f8-6af578a74e22", + "metadata": {}, + "outputs": [], + "source": [ + "products = glob.glob(\"knowledge-base/products/*\")\n", + "\n", + "for product in products:\n", + " name = product.split('/')[-1][:-3]\n", + " doc = \"\"\n", + " with open(product, \"r\") as f:\n", + " doc = f.read()\n", + " context[name]=doc" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "aba46a57-d973-4195-8fe3-70fc60687192", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['Chen', 'Spencer', 'Tran', 'Blake', 'Lancaster', 'Thompson', 'Greene', 'Thomson', 'Trenton', 'Harper', 'Bishop', 'Carter', 'Rellm', 'Markellm', 'Homellm', 'Carllm'])" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "context.keys()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "129c7d1e-0094-4479-9459-f9360b95f244", + "metadata": {}, + "outputs": [], + "source": [ + "system_message = \"You are an expert in answering accurate questions about Insurellm, the Insurance Tech company. Give brief, accurate answers. If you don't know the answer, say so. Do not make anything up if you haven't been provided with relevant context.\"" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "d40e390b-c110-42d5-8d80-daf3295b9862", + "metadata": {}, + "outputs": [], + "source": [ + "def get_relevant_context(message):\n", + " relevant_context = []\n", + " for context_title, context_details in context.items():\n", + " if context_title in message:\n", + " relevant_context.append(context_details)\n", + " return relevant_context " + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "d94c768d-c47a-4c34-85e9-7b786da96507", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "get_relevant_context(\"Who is Avery and what is carllm?\")" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "5a7cef7f-f214-4bac-8217-3f9ab9ba1bf0", + "metadata": {}, + "outputs": [], + "source": [ + "def add_context(message):\n", + " relevant_context = get_relevant_context(message)\n", + " if relevant_context:\n", + " message += \"\\n\\nThe following additional context might be relevant in answering this question:\\n\\n\"\n", + " for relevant in relevant_context:\n", + " message += relevant + \"\\n\\n\"\n", + " return message" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "2b36399c-440b-4049-9d39-68d208283c71", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Who is Alex Lancaster?\n", + "\n", + "The following additional context might be relevant in answering this question:\n", + "\n", + "# Avery Lancaster\n", + "\n", + "## Summary\n", + "- **Date of Birth**: March 15, 1985 \n", + "- **Job Title**: Co-Founder & Chief Executive Officer (CEO) \n", + "- **Location**: San Francisco, California \n", + "\n", + "## Insurellm Career Progression\n", + "- **2015 - Present**: Co-Founder & CEO \n", + " Avery Lancaster co-founded Insurellm in 2015 and has since guided the company to its current position as a leading Insurance Tech provider. Avery is known for her innovative leadership strategies and risk management expertise that have catapulted the company into the mainstream insurance market. \n", + "\n", + "- **2013 - 2015**: Senior Product Manager at Innovate Insurance Solutions \n", + " Before launching Insurellm, Avery was a leading Senior Product Manager at Innovate Insurance Solutions, where she developed groundbreaking insurance products aimed at the tech sector. \n", + "\n", + "- **2010 - 2013**: Business Analyst at Edge Analytics \n", + " Prior to joining Innovate, Avery worked as a Business Analyst, focusing on market trends and consumer preferences in the insurance space. This position laid the groundwork for Avery’s future entrepreneurial endeavors.\n", + "\n", + "## Annual Performance History\n", + "- **2015**: **Exceeds Expectations** \n", + " Avery’s leadership during Insurellm's foundational year led to successful product launches and securing initial funding. \n", + "\n", + "- **2016**: **Meets Expectations** \n", + " Growth continued, though challenges arose in operational efficiency that required Avery's attention. \n", + "\n", + "- **2017**: **Developing** \n", + " Market competition intensified, and monthly sales metrics were below targets. Avery implemented new strategies which required a steep learning curve. \n", + "\n", + "- **2018**: **Exceeds Expectations** \n", + " Under Avery’s pivoted vision, Insurellm launched two new successful products that significantly increased market share. \n", + "\n", + "- **2019**: **Meets Expectations** \n", + " Steady growth, however, some team tensions led to a minor drop in employee morale. Avery recognized the need to enhance company culture. \n", + "\n", + "- **2020**: **Below Expectations** \n", + " The COVID-19 pandemic posed unforeseen operational difficulties. Avery faced criticism for delayed strategy shifts, although efforts were eventually made to stabilize the company. \n", + "\n", + "- **2021**: **Exceptional** \n", + " Avery's decisive transition to remote work and rapid adoption of digital tools led to record-high customer satisfaction levels and increased sales. \n", + "\n", + "- **2022**: **Satisfactory** \n", + " Avery focused on rebuilding team dynamics and addressing employee concerns, leading to overall improvement despite a saturated market. \n", + "\n", + "- **2023**: **Exceeds Expectations** \n", + " Market leadership was regained with innovative approaches to personalized insurance solutions. Avery is now recognized in industry publications as a leading voice in Insurance Tech innovation.\n", + "\n", + "## Compensation History\n", + "- **2015**: $150,000 base salary + Significant equity stake \n", + "- **2016**: $160,000 base salary + Equity increase \n", + "- **2017**: $150,000 base salary + Decrease in bonus due to performance \n", + "- **2018**: $180,000 base salary + performance bonus of $30,000 \n", + "- **2019**: $185,000 base salary + market adjustment + $5,000 bonus \n", + "- **2020**: $170,000 base salary (temporary reduction due to COVID-19) \n", + "- **2021**: $200,000 base salary + performance bonus of $50,000 \n", + "- **2022**: $210,000 base salary + retention bonus \n", + "- **2023**: $225,000 base salary + $75,000 performance bonus \n", + "\n", + "## Other HR Notes\n", + "- **Professional Development**: Avery has actively participated in leadership training programs and industry conferences, representing Insurellm and fostering partnerships. \n", + "- **Diversity & Inclusion Initiatives**: Avery has championed a commitment to diversity in hiring practices, seeing visible improvements in team representation since 2021. \n", + "- **Work-Life Balance**: Feedback revealed concerns regarding work-life balance, which Avery has approached by implementing flexible working conditions and ensuring regular check-ins with the team.\n", + "- **Community Engagement**: Avery led community outreach efforts, focusing on financial literacy programs, particularly aimed at underserved populations, improving Insurellm's corporate social responsibility image. \n", + "\n", + "Avery Lancaster has demonstrated resilience and adaptability throughout her career at Insurellm, positioning the company as a key player in the insurance technology landscape.\n", + "\n", + "\n" + ] + } + ], + "source": [ + "print(add_context(\"Who is Alex Lancaster?\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "968e7bf2-e862-4679-a11f-6c1efb6ec8ca", + "metadata": {}, + "outputs": [], + "source": [ + "def chat(message, history):\n", + " messages = [{\"role\": \"system\", \"content\": system_message}]\n", + " for user_message, assistant_message in history:\n", + " messages.append({\"role\": \"user\", \"content\": user_message})\n", + " messages.append({\"role\": \"assistant\", \"content\": assistant_message})\n", + " \n", + " message = add_context(message)\n", + " messages.append({\"role\": \"user\", \"content\": message})\n", + "\n", + " stream = openai.chat.completions.create(model=MODEL, messages=messages, stream=True)\n", + "\n", + " response = \"\"\n", + " for chunk in stream:\n", + " response += chunk.choices[0].delta.content or ''\n", + " yield response" + ] + }, + { + "cell_type": "markdown", + "id": "bbbcb659-13ce-47ab-8a5e-01b930494964", + "metadata": {}, + "source": [ + "## Now we will bring this up in Gradio using the Chat interface -\n", + "\n", + "A quick and easy way to prototype a chat with an LLM" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "c3536590-85c7-4155-bd87-ae78a1467670", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Running on local URL: http://127.0.0.1:7865\n", + "\n", + "To create a public link, set `share=True` in `launch()`.\n" + ] + }, + { + "data": { + "text/html": [ + "
" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "view = gr.ChatInterface(chat).launch()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "48873d11-2fbd-4329-af27-46c781788561", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/week5/day2.ipynb b/week5/day2.ipynb new file mode 100644 index 0000000..c21e7bb --- /dev/null +++ b/week5/day2.ipynb @@ -0,0 +1,322 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "dfe37963-1af6-44fc-a841-8e462443f5e6", + "metadata": {}, + "source": [ + "## Expert Knowledge Worker\n", + "\n", + "### A question answering agent that is an expert knowledge worker\n", + "### To be used by employees of Insurellm, an Insurance Tech company\n", + "### The agent needs to be accurate and the solution should be low cost.\n", + "\n", + "This project will use RAG (Retrieval Augmented Generation) to ensure our question/answering assistant has high accuracy." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "ba2779af-84ef-4227-9e9e-6eaf0df87e77", + "metadata": {}, + "outputs": [], + "source": [ + "# imports\n", + "\n", + "import os\n", + "import glob\n", + "from dotenv import load_dotenv\n", + "import gradio as gr" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "802137aa-8a74-45e0-a487-d1974927d7ca", + "metadata": {}, + "outputs": [], + "source": [ + "# imports for langchain\n", + "\n", + "from langchain.document_loaders import DirectoryLoader, TextLoader\n", + "from langchain.text_splitter import CharacterTextSplitter" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "58c85082-e417-4708-9efe-81a5d55d1424", + "metadata": {}, + "outputs": [], + "source": [ + "# price is a factor for our company, so we're going to use a low cost model\n", + "\n", + "MODEL = \"gpt-4o-mini\"\n", + "db_name = \"vector_db\"" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "ee78efcb-60fe-449e-a944-40bab26261af", + "metadata": {}, + "outputs": [], + "source": [ + "# Load environment variables in a file called .env\n", + "\n", + "load_dotenv()\n", + "os.environ['OPENAI_API_KEY'] = os.getenv('OPENAI_API_KEY', 'your-key-if-not-using-env')" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "730711a9-6ffe-4eee-8f48-d6cfb7314905", + "metadata": {}, + "outputs": [], + "source": [ + "# Read in documents using LangChain's loaders\n", + "# Take everything in all the sub-folders of our knowledgebase\n", + "\n", + "folders = glob.glob(\"knowledge-base/*\")\n", + "\n", + "documents = []\n", + "for folder in folders:\n", + " doc_type = os.path.basename(folder)\n", + " loader = DirectoryLoader(folder, glob=\"**/*.md\", loader_cls=TextLoader)\n", + " folder_docs = loader.load()\n", + " for doc in folder_docs:\n", + " doc.metadata[\"doc_type\"] = doc_type\n", + " documents.append(doc)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "252f17e9-3529-4e81-996c-cfa9f08e75a8", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "31" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(documents)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "7e8decb0-d9b0-4d51-8402-7a6174d22159", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Document(metadata={'source': 'knowledge-base/employees/Maxine Thompson.md', 'doc_type': 'employees'}, page_content=\"# HR Record\\n\\n# Maxine Thompson\\n\\n## Summary\\n- **Date of Birth:** January 15, 1991 \\n- **Job Title:** Data Engineer \\n- **Location:** Austin, Texas \\n\\n## Insurellm Career Progression\\n- **January 2017 - October 2018**: **Junior Data Engineer** \\n * Maxine joined Insurellm as a Junior Data Engineer, focusing primarily on ETL processes and data integration tasks. She quickly learned Insurellm's data architecture, collaborating with other team members to streamline data workflows. \\n- **November 2018 - December 2020**: **Data Engineer** \\n * In her new role, Maxine expanded her responsibilities to include designing comprehensive data models and improving data quality measures. Though she excelled in technical skills, communication issues with non-technical teams led to some project delays. \\n- **January 2021 - Present**: **Senior Data Engineer** \\n * Maxine was promoted to Senior Data Engineer after successfully leading a pivotal project that improved data retrieval times by 30%. She now mentors junior engineers and is involved in strategic data initiatives, solidifying her position as a valued asset at Insurellm. She was recognized as Insurellm Innovator of the year in 2023, receiving the prestiguous IIOTY 2023 award. \\n\\n## Annual Performance History\\n- **2017**: *Meets Expectations* \\n Maxine showed potential in her role but struggled with initial project deadlines. Her adaptability and willingness to learn made positive impacts on her team. \\n\\n- **2018**: *Exceeds Expectations* \\n Maxine improved significantly, becoming a reliable team member with strong problem-solving skills. She took on leadership in a project that automated data entry processes. \\n\\n- **2019**: *Needs Improvement* \\n During this year, difficult personal circumstances affected Maxine's performance. She missed key deadlines and had several communication issues with stakeholders. \\n\\n- **2020**: *Meets Expectations* \\n Maxine focused on regaining her footing and excelling with technical skills. She was stable, though not standout, in her contributions. Feedback indicated a need for more proactivity. \\n\\n- **2021**: *Exceeds Expectations* \\n Maxine spearheaded the transition to a new data warehousing solution, significantly enhancing Insurellm’s data analytics capabilities. This major achievement bolstered her reputation within the company. \\n\\n- **2022**: *Outstanding* \\n Maxine continued her upward trajectory, successfully implementing machine learning algorithms to predict customer behavior, which was well-received by the leadership team and improved client satisfaction. \\n\\n- **2023**: *Exceeds Expectations* \\n Maxine has taken on mentoring responsibilities and is leading a cross-functional team for data governance initiatives, showcasing her leadership and solidifying her role at Insurellm. \\n\\n## Compensation History\\n- **2017**: $70,000 (Junior Data Engineer) \\n- **2018**: $75,000 (Junior Data Engineer) \\n- **2019**: $80,000 (Data Engineer) \\n- **2020**: $84,000 (Data Engineer) \\n- **2021**: $95,000 (Senior Data Engineer) \\n- **2022**: $110,000 (Senior Data Engineer) \\n- **2023**: $120,000 (Senior Data Engineer) \\n\\n## Other HR Notes\\n- Maxine participated in various company-sponsored trainings related to big data technologies and cloud infrastructure. \\n- She was recognized for her contributions with the “Insurellm Innovator Award” in 2022. \\n- Maxine is currently involved in the women-in-tech initiative and participates in mentorship programs to guide junior employees. \\n- Future development areas include improving her stakeholder communication skills to ensure smoother project transitions and collaboration. \")" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "documents[24]" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "7310c9c8-03c1-4efc-a104-5e89aec6db1a", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Created a chunk of size 1088, which is longer than the specified 1000\n" + ] + } + ], + "source": [ + "text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=200)\n", + "chunks = text_splitter.split_documents(documents)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "cd06e02f-6d9b-44cc-a43d-e1faa8acc7bb", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "123" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(chunks)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "d2562754-9052-4aae-92c1-37236435ea06", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Document(metadata={'source': 'knowledge-base/products/Markellm.md', 'doc_type': 'products'}, page_content='- **User-Friendly Interface**: Designed with user experience in mind, Markellm features an intuitive interface that allows consumers to easily browse and compare various insurance offerings from multiple providers.\\n\\n- **Real-Time Quotes**: Consumers can receive real-time quotes from different insurance companies, empowering them to make informed decisions quickly without endless back-and-forth communication.\\n\\n- **Customized Recommendations**: Based on user profiles and preferences, Markellm provides personalized insurance recommendations, ensuring consumers find the right coverage at competitive rates.\\n\\n- **Secure Transactions**: Markellm prioritizes security, employing robust encryption methods to ensure that all transactions and data exchanges are safe and secure.\\n\\n- **Customer Support**: Our dedicated support team is always available to assist both consumers and insurers throughout the process, providing guidance and answering any questions that may arise.')" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "chunks[6]" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "2c54b4b6-06da-463d-bee7-4dd456c2b887", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Document types found: employees, contracts, company, products\n" + ] + } + ], + "source": [ + "doc_types = set(chunk.metadata['doc_type'] for chunk in chunks)\n", + "print(f\"Document types found: {', '.join(doc_types)}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "128c73f7-f149-4904-a554-8140941fce0c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "page_content='## Support\n", + "\n", + "1. **Customer Support**: Velocity Auto Solutions will have access to Insurellm’s customer support team via email or chatbot, available 24/7. \n", + "2. **Technical Maintenance**: Regular maintenance and updates to the Carllm platform will be conducted by Insurellm, with any downtime communicated in advance. \n", + "3. **Training & Resources**: Initial training sessions will be provided for Velocity Auto Solutions’ staff to ensure effective use of the Carllm suite. Regular resources and documentation will be made available online.\n", + "\n", + "---\n", + "\n", + "**Accepted and Agreed:** \n", + "**For Velocity Auto Solutions** \n", + "Signature: _____________________ \n", + "Name: John Doe \n", + "Title: CEO \n", + "Date: _____________________ \n", + "\n", + "**For Insurellm** \n", + "Signature: _____________________ \n", + "Name: Jane Smith \n", + "Title: VP of Sales \n", + "Date: _____________________' metadata={'source': 'knowledge-base/contracts/Contract with Velocity Auto Solutions for Carllm.md', 'doc_type': 'contracts'}\n", + "_________\n", + "page_content='3. **Regular Updates:** Insurellm will offer ongoing updates and enhancements to the Homellm platform, including new features and security improvements.\n", + "\n", + "4. **Feedback Implementation:** Insurellm will actively solicit feedback from GreenValley Insurance to ensure Homellm continues to meet their evolving needs.\n", + "\n", + "---\n", + "\n", + "**Signatures:**\n", + "\n", + "_________________________________ \n", + "**[Name]** \n", + "**Title**: CEO \n", + "**Insurellm, Inc.**\n", + "\n", + "_________________________________ \n", + "**[Name]** \n", + "**Title**: COO \n", + "**GreenValley Insurance, LLC** \n", + "\n", + "---\n", + "\n", + "This agreement represents the complete understanding of both parties regarding the use of the Homellm product and supersedes any prior agreements or communications.' metadata={'source': 'knowledge-base/contracts/Contract with GreenValley Insurance for Homellm.md', 'doc_type': 'contracts'}\n", + "_________\n", + "page_content='# Avery Lancaster\n", + "\n", + "## Summary\n", + "- **Date of Birth**: March 15, 1985 \n", + "- **Job Title**: Co-Founder & Chief Executive Officer (CEO) \n", + "- **Location**: San Francisco, California \n", + "\n", + "## Insurellm Career Progression\n", + "- **2015 - Present**: Co-Founder & CEO \n", + " Avery Lancaster co-founded Insurellm in 2015 and has since guided the company to its current position as a leading Insurance Tech provider. Avery is known for her innovative leadership strategies and risk management expertise that have catapulted the company into the mainstream insurance market. \n", + "\n", + "- **2013 - 2015**: Senior Product Manager at Innovate Insurance Solutions \n", + " Before launching Insurellm, Avery was a leading Senior Product Manager at Innovate Insurance Solutions, where she developed groundbreaking insurance products aimed at the tech sector.' metadata={'source': 'knowledge-base/employees/Avery Lancaster.md', 'doc_type': 'employees'}\n", + "_________\n" + ] + } + ], + "source": [ + "for chunk in chunks:\n", + " if 'CEO' in chunk.page_content:\n", + " print(chunk)\n", + " print(\"_________\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6965971c-fb97-482c-a497-4e81a0ac83df", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/week5/day3.ipynb b/week5/day3.ipynb new file mode 100644 index 0000000..df8cc72 --- /dev/null +++ b/week5/day3.ipynb @@ -0,0 +1,3365 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "dfe37963-1af6-44fc-a841-8e462443f5e6", + "metadata": {}, + "source": [ + "## Expert Knowledge Worker\n", + "\n", + "### A question answering agent that is an expert knowledge worker\n", + "### To be used by employees of Insurellm, an Insurance Tech company\n", + "### The agent needs to be accurate and the solution should be low cost.\n", + "\n", + "This project will use RAG (Retrieval Augmented Generation) to ensure our question/answering assistant has high accuracy." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "ba2779af-84ef-4227-9e9e-6eaf0df87e77", + "metadata": {}, + "outputs": [], + "source": [ + "# imports\n", + "\n", + "import os\n", + "import glob\n", + "from dotenv import load_dotenv\n", + "import gradio as gr" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "802137aa-8a74-45e0-a487-d1974927d7ca", + "metadata": {}, + "outputs": [], + "source": [ + "# imports for langchain and Chroma and plotly\n", + "\n", + "from langchain.document_loaders import DirectoryLoader, TextLoader\n", + "from langchain.text_splitter import CharacterTextSplitter\n", + "from langchain.schema import Document\n", + "from langchain_openai import OpenAIEmbeddings, ChatOpenAI\n", + "from langchain_chroma import Chroma\n", + "import numpy as np\n", + "from sklearn.manifold import TSNE\n", + "import plotly.graph_objects as go" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "58c85082-e417-4708-9efe-81a5d55d1424", + "metadata": {}, + "outputs": [], + "source": [ + "# price is a factor for our company, so we're going to use a low cost model\n", + "\n", + "MODEL = \"gpt-4o-mini\"\n", + "db_name = \"vector_db\"" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "ee78efcb-60fe-449e-a944-40bab26261af", + "metadata": {}, + "outputs": [], + "source": [ + "# Load environment variables in a file called .env\n", + "\n", + "load_dotenv()\n", + "os.environ['OPENAI_API_KEY'] = os.getenv('OPENAI_API_KEY', 'your-key-if-not-using-env')" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "730711a9-6ffe-4eee-8f48-d6cfb7314905", + "metadata": {}, + "outputs": [], + "source": [ + "# Read in documents using LangChain's loaders\n", + "# Take everything in all the sub-folders of our knowledgebase\n", + "\n", + "folders = glob.glob(\"knowledge-base/*\")\n", + "\n", + "documents = []\n", + "for folder in folders:\n", + " doc_type = os.path.basename(folder)\n", + " loader = DirectoryLoader(folder, glob=\"**/*.md\", loader_cls=TextLoader)\n", + " folder_docs = loader.load()\n", + " for doc in folder_docs:\n", + " doc.metadata[\"doc_type\"] = doc_type\n", + " documents.append(doc)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "7310c9c8-03c1-4efc-a104-5e89aec6db1a", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Created a chunk of size 1088, which is longer than the specified 1000\n" + ] + } + ], + "source": [ + "text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=200)\n", + "chunks = text_splitter.split_documents(documents)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "cd06e02f-6d9b-44cc-a43d-e1faa8acc7bb", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "123" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(chunks)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "2c54b4b6-06da-463d-bee7-4dd456c2b887", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Document types found: contracts, products, employees, company\n" + ] + } + ], + "source": [ + "doc_types = set(chunk.metadata['doc_type'] for chunk in chunks)\n", + "print(f\"Document types found: {', '.join(doc_types)}\")" + ] + }, + { + "cell_type": "markdown", + "id": "77f7d2a6-ccfa-425b-a1c3-5e55b23bd013", + "metadata": {}, + "source": [ + "## A sidenote on Embeddings, and \"Auto-Encoding LLMs\"\n", + "\n", + "We will be mapping each chunk of text into a Vector that represents the meaning of the text, known as an embedding.\n", + "\n", + "OpenAI offers a model to do this, which we will use by calling their API with some LangChain code.\n", + "\n", + "This model is an example of an \"Auto-Encoding LLM\" which generates an output given a complete input.\n", + "It's different to all the other LLMs we've discussed today, which are known as \"Auto-Regressive LLMs\", and generate future tokens based only on past context.\n", + "\n", + "Another example of an Auto-Encoding LLMs is BERT from Google. In addition to embedding, Auto-encoding LLMs are often used for classification." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "78998399-ac17-4e28-b15f-0b5f51e6ee23", + "metadata": {}, + "outputs": [], + "source": [ + "# Put the chunks of data into a Vector Store that associates a Vector Embedding with each chunk\n", + "\n", + "embeddings = OpenAIEmbeddings()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "763e51ff-5787-4a56-8176-36b7c5796fe3", + "metadata": {}, + "outputs": [], + "source": [ + "# Check if a Chroma Datastore already exists - if so, delete the collection to start from scratch\n", + "\n", + "if os.path.exists(db_name):\n", + " Chroma(persist_directory=db_name, embedding_function=embeddings).delete_collection()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "99fe3a37-480f-4d55-be48-120588d5846b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Vectorstore created with 123 documents\n" + ] + } + ], + "source": [ + "# Create our Chroma vectorstore!\n", + "\n", + "vectorstore = Chroma.from_documents(documents=chunks, embedding=embeddings, persist_directory=db_name)\n", + "print(f\"Vectorstore created with {vectorstore._collection.count()} documents\")" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "057868f6-51a6-4087-94d1-380145821550", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The vectors have 1,536 dimensions\n" + ] + } + ], + "source": [ + "# Get one vector and find how many dimensions it has\n", + "\n", + "collection = vectorstore._collection\n", + "sample_embedding = collection.get(limit=1, include=[\"embeddings\"])[\"embeddings\"][0]\n", + "dimensions = len(sample_embedding)\n", + "print(f\"The vectors have {dimensions:,} dimensions\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "61e393a0-dd4c-419f-842f-60c1cb3b716b", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "b0d45462-a818-441c-b010-b85b32bcf618", + "metadata": {}, + "source": [ + "## Visualizing the Vector Store\n", + "\n", + "Let's take a minute to look at the documents and their embedding vectors to see what's going on." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "b98adf5e-d464-4bd2-9bdf-bc5b6770263b", + "metadata": {}, + "outputs": [], + "source": [ + "# Prework\n", + "\n", + "result = collection.get(include=['embeddings', 'documents', 'metadatas'])\n", + "vectors = np.array(result['embeddings'])\n", + "documents = result['documents']\n", + "doc_types = [metadata['doc_type'] for metadata in result['metadatas']]\n", + "colors = [['blue', 'green', 'red', 'orange'][['products', 'employees', 'contracts', 'company'].index(t)] for t in doc_types]" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "427149d5-e5d8-4abd-bb6f-7ef0333cca21", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + " \n", + " " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "hoverinfo": "text", + "marker": { + "color": [ + "red", + "red", + "red", + "red", + "red", + "green", + "red", + "orange", + "green", + "red", + "red", + "red", + "red", + "blue", + "green", + "blue", + "red", + "red", + "green", + "green", + "blue", + "red", + "red", + "green", + "red", + "green", + "green", + "blue", + "red", + "red", + "green", + "red", + "blue", + "red", + "blue", + "green", + "red", + "red", + "red", + "orange", + "blue", + "red", + "green", + "green", + "red", + "green", + "red", + "red", + "green", + "blue", + "green", + "green", + "red", + "red", + "green", + "red", + "green", + "red", + "green", + "green", + "red", + "red", + "red", + "red", + "blue", + "green", + "green", + "green", + "red", + "blue", + "red", + "blue", + "green", + "red", + "green", + "red", + "orange", + "green", + "red", + "green", + "green", + "green", + "green", + "red", + "green", + "green", + "green", + "green", + "green", + "red", + "blue", + "green", + "red", + "green", + "green", + "green", + "blue", + "green", + "red", + "blue", + "red", + "red", + "green", + "red", + "blue", + "blue", + "blue", + "red", + "green", + "blue", + "red", + "green", + "red", + "green", + "red", + "blue", + "green", + "red", + "green", + "blue", + "green", + "red", + "blue" + ], + "opacity": 0.8, + "size": 5 + }, + "mode": "markers", + "text": [ + "Type: contracts
Text: ## Support\n\n1. **Customer Support**: Insurellm will provide 24/7 customer support to TechDrive Insur...", + "Type: contracts
Text: 1. **Core Functionality**: Rellm provides EverGuard Insurance with advanced AI-driven analytics, sea...", + "Type: contracts
Text: ## Features\n1. **AI-Powered Matching**: Belvedere Insurance will benefit from Markellm's AI-powered ...", + "Type: contracts
Text: 1. **Technical Support**: Provider shall offer dedicated technical support to the Client via phone, ...", + "Type: contracts
Text: 1. **AI-Powered Risk Assessment:** Access to advanced AI algorithms for real-time risk evaluations.\n...", + "Type: employees
Text: - **2017-2019:** Marketing Intern \n - Assisted with market research and campaign development for s...", + "Type: contracts
Text: ## Renewal\n1. **Renewal Terms**: This Agreement may be renewed for additional one-year terms upon mu...", + "Type: company
Text: # Overview of Insurellm\n\nInsurellm is an innovative insurance tech firm with 200 employees across th...", + "Type: employees
Text: - **January 2017 - May 2018**: Marketing Intern \n - Supported the Marketing team by collaborating ...", + "Type: contracts
Text: # Contract with Greenstone Insurance for Homellm\n\n---\n\n## Terms\n\n1. **Parties**: This Contract (\"Agr...", + "Type: contracts
Text: ## Features\nStellar Insurance Co. will receive access to the following features of the Rellm product...", + "Type: contracts
Text: 1. **Customer Support**: Insurellm will provide EverGuard Insurance with 24/7 customer support, incl...", + "Type: contracts
Text: ---\n\n## Features\n\n1. **Access to Core Features**: Roadway Insurance Inc. will have access to all Pro...", + "Type: products
Text: ### 5. Multi-Channel Integration\nHomellm seamlessly integrates into existing insurance platforms, pr...", + "Type: employees
Text: - **2021**: *Exceeds Expectations* \n Maxine spearheaded the transition to a new data warehousing s...", + "Type: products
Text: # Product Summary\n\n# Markellm\n\n## Summary\n\nMarkellm is an innovative two-sided marketplace designed ...", + "Type: contracts
Text: ## Renewal\n\n1. **Automatic Renewal**: This Agreement will automatically renew for successive one-yea...", + "Type: contracts
Text: ## Support\n1. **Technical Support**: Insurellm shall provide 24/7 technical support via an email and...", + "Type: employees
Text: ## Compensation History\n- **2020:** Base Salary: $80,000 \n- **2021:** Base Salary Increase to $90,0...", + "Type: employees
Text: # Avery Lancaster\n\n## Summary\n- **Date of Birth**: March 15, 1985 \n- **Job Title**: Co-Founder & Ch...", + "Type: products
Text: Join the growing number of organizations leveraging Rellm to enhance their reinsurance processes whi...", + "Type: contracts
Text: # Contract with Apex Reinsurance for Rellm: AI-Powered Enterprise Reinsurance Solution\n\n## Terms\n\n1....", + "Type: contracts
Text: ## Renewal\n\n1. **Automatic Renewal**: This contract shall automatically renew for additional one-yea...", + "Type: employees
Text: ## Compensation History\n| Year | Base Salary | Bonus | Total Compensation |\n|------|--------...", + "Type: contracts
Text: # Contract with TechDrive Insurance for Carllm\n\n**Contract Date:** October 1, 2024 \n**Contract Dura...", + "Type: employees
Text: Emily Carter exemplifies the kind of talent that drives Insurellm's success and is an invaluable ass...", + "Type: employees
Text: - **2018**: **Exceeds Expectations** \n Under Avery’s pivoted vision, Insurellm launched two new su...", + "Type: products
Text: # Product Summary\n\n# Carllm\n\n## Summary\n\nCarllm is an innovative auto insurance product developed by...", + "Type: contracts
Text: ### Termination\nEither party may terminate this agreement with a **30-day written notice**. In the e...", + "Type: contracts
Text: **Signatures:** \n_________________________ _________________________ \n**...", + "Type: employees
Text: ## Compensation History\n- **2020:** Base Salary - $55,000 \n The entry-level salary matched industr...", + "Type: contracts
Text: # Contract with GreenValley Insurance for Homellm\n\n**Contract Date:** October 6, 2023 \n**Contract N...", + "Type: products
Text: ### For Insurance Companies:\n- **Basic Listing Fee**: $199/month for a featured listing on the platf...", + "Type: contracts
Text: ## Support\nInsurellm provides Stellar Insurance Co. with the following support services:\n\n- **24/7 T...", + "Type: products
Text: Experience the future of reinsurance with Rellm, where innovation meets reliability. Let Insurellm h...", + "Type: employees
Text: ## Compensation History\n- **2015**: $150,000 base salary + Significant equity stake \n- **2016**: $1...", + "Type: contracts
Text: **TechDrive Insurance Representative:** \nName: Sarah Johnson \nTitle: Operations Director \nDate: _...", + "Type: contracts
Text: 3. **Training and Onboarding:** \n Insurellm agrees to provide one free training session on how to...", + "Type: contracts
Text: ## Support\n1. **Customer Support Access**: The Client will have access to dedicated support through ...", + "Type: company
Text: # Careers at Insurellm\n\nInsurellm is hiring! We are looking for talented software engineers, data sc...", + "Type: products
Text: # Product Summary\n\n# Rellm: AI-Powered Enterprise Reinsurance Solution\n\n## Summary\n\nRellm is an inno...", + "Type: contracts
Text: 4. **Payment Terms**: \n - The Customer shall pay an amount of $10,000 per month for the Standard T...", + "Type: employees
Text: # HR Record\n\n# Samuel Trenton\n\n## Summary\n- **Date of Birth:** April 12, 1989 \n- **Job Title:** Sen...", + "Type: employees
Text: ## Annual Performance History\n- **2018**: **3/5** - Adaptable team player but still learning to take...", + "Type: contracts
Text: # Contract with Pinnacle Insurance Co. for Homellm\n\n## Terms\nThis contract (\"Contract\") is entered i...", + "Type: employees
Text: ## Annual Performance History\n- **2023:** Rating: 4.5/5 \n *Samuel exceeded expectations, successfu...", + "Type: contracts
Text: **Insurellm, Inc.** \n_____________________________ \nAuthorized Signature \nDate: ________________...", + "Type: contracts
Text: ---\n\n## Features\n\n- **AI-Powered Risk Assessment**: Customer will have access to enhanced risk evalu...", + "Type: employees
Text: - **2022**: **Satisfactory** \n Avery focused on rebuilding team dynamics and addressing employee c...", + "Type: products
Text: ### Q3 2025\n- Initiate a comprehensive marketing campaign targeting both consumers and insurers to i...", + "Type: employees
Text: # HR Record\n\n# Oliver Spencer\n\n## Summary\n- **Date of Birth**: May 14, 1990 \n- **Job Title**: Backe...", + "Type: employees
Text: # HR Record\n\n# Jordan K. Bishop\n\n## Summary\n- **Date of Birth:** March 15, 1990\n- **Job Title:** Fro...", + "Type: contracts
Text: ## Features\n1. **AI-Powered Risk Assessment**: Utilized for tailored underwriting decisions specific...", + "Type: contracts
Text: # Contract with Belvedere Insurance for Markellm\n\n## Terms\nThis Contract (\"Agreement\") is made and e...", + "Type: employees
Text: ## Annual Performance History\n- **2019:** Exceeds Expectations - Continuously delivered high-quality...", + "Type: contracts
Text: ## Support\n1. **Technical Support**: Technical support will be available from 9 AM to 7 PM EST, Mond...", + "Type: employees
Text: ## Other HR Notes\n- Jordan K. Bishop has been an integral part of club initiatives, including the In...", + "Type: contracts
Text: 4. **Usage Rights**: EverGuard Insurance is granted a non-exclusive, non-transferable license to acc...", + "Type: employees
Text: ## Compensation History\n- **March 2018**: Initial salary of $80,000.\n- **July 2019**: Salary increas...", + "Type: employees
Text: ## Compensation History\n- **2023:** Base Salary: $115,000 + Bonus: $15,000 \n *Annual bonus based o...", + "Type: contracts
Text: ---\n\n**Signatures** \n**For Insurellm**: __________________________ \n**Name**: John Smith \n**Title...", + "Type: contracts
Text: # Contract with Velocity Auto Solutions for Carllm\n\n**Contract Date:** October 1, 2023 \n**Contract ...", + "Type: contracts
Text: 4. **Confidentiality:** Both parties agree to maintain the confidentiality of proprietary informatio...", + "Type: contracts
Text: ---\n\n## Support\n\n1. **Technical Support**: Roadway Insurance Inc. will receive priority technical su...", + "Type: products
Text: - **Professional Tier**: $2,500/month\n - For medium-sized companies.\n - All Basic Tier features pl...", + "Type: employees
Text: # HR Record\n\n# Alex Harper\n\n## Summary\n- **Date of Birth**: March 15, 1993 \n- **Job Title**: Sales ...", + "Type: employees
Text: - **Engagement in Company Culture:** Regularly participates in team-building events and contributes ...", + "Type: employees
Text: ## Other HR Notes\n- Jordan has shown an interest in continuing education, actively participating in ...", + "Type: contracts
Text: # Contract with EverGuard Insurance for Rellm: AI-Powered Enterprise Reinsurance Solution\n\n**Contrac...", + "Type: products
Text: All tiers include a comprehensive training program and ongoing updates to ensure optimal performance...", + "Type: contracts
Text: ## Support\n\n1. **Customer Support**: Velocity Auto Solutions will have access to Insurellm’s custome...", + "Type: products
Text: # Product Summary\n\n# Homellm\n\n## Summary\nHomellm is an innovative home insurance product developed b...", + "Type: employees
Text: - **2021**: \n - Performance Rating: Meets Expectations \n - Key Achievements: Contributed to the ...", + "Type: contracts
Text: # Contract with Roadway Insurance Inc. for Carllm\n\n---\n\n## Terms\n\n1. **Agreement Effective Date**: T...", + "Type: employees
Text: - **2023:** Base Salary - $70,000 \n Recognized for substantial improvement in employee relations m...", + "Type: contracts
Text: # Contract with Stellar Insurance Co. for Rellm\n\n## Terms\nThis contract is made between **Insurellm*...", + "Type: company
Text: # About Insurellm\n\nInsurellm was founded by Avery Lancaster in 2015 as an insurance tech startup des...", + "Type: employees
Text: # Samantha Greene\n\n## Summary\n- **Date of Birth:** October 14, 1990\n- **Job Title:** HR Generalist\n-...", + "Type: contracts
Text: # Contract with GreenField Holdings for Markellm\n\n**Effective Date:** November 15, 2023 \n**Contract...", + "Type: employees
Text: ## Annual Performance History\n- **2017**: *Meets Expectations* \n Maxine showed potential in her ro...", + "Type: employees
Text: ## Insurellm Career Progression\n- **January 2017 - October 2018**: **Junior Data Engineer** \n * Ma...", + "Type: employees
Text: Alex Chen continues to be a vital asset at Insurellm, contributing significantly to innovative backe...", + "Type: employees
Text: - **2010 - 2013**: Business Analyst at Edge Analytics \n Prior to joining Innovate, Avery worked as...", + "Type: contracts
Text: ## Renewal\n1. **Automatic Renewal**: This contract will automatically renew for sequential one-year ...", + "Type: employees
Text: ## Annual Performance History\n- **2020:** \n - Completed onboarding successfully. \n - Met expecta...", + "Type: employees
Text: ## Compensation History\n- **June 2018:** Starting Salary - $85,000\n- **June 2019:** Salary Increase ...", + "Type: employees
Text: ## Annual Performance History \n- **2022** - Rated as \"Exceeds Expectations.\" Alex Thomson achieved ...", + "Type: employees
Text: ## Annual Performance History \n- **2021**: \n - **Performance Rating**: 4.5/5 \n - **Key Achievem...", + "Type: employees
Text: # HR Record\n\n# Maxine Thompson\n\n## Summary\n- **Date of Birth:** January 15, 1991 \n- **Job Title:** ...", + "Type: contracts
Text: 2. **Seamless Integrations**: The architecture of Rellm allows for easy integration with existing sy...", + "Type: products
Text: - **Basic Tier:** Starting at $5,000/month for small insurers with basic integration features.\n- **S...", + "Type: employees
Text: ## Annual Performance History\n- **2020:** Exceeds Expectations \n Samantha Greene demonstrated exce...", + "Type: contracts
Text: 3. **Service Level Agreement (SLA):** \n Insurellm commits to a 99.9% uptime for the platform with...", + "Type: employees
Text: # HR Record\n\n# Jordan Blake\n\n## Summary\n- **Date of Birth:** March 15, 1993 \n- **Job Title:** Sales...", + "Type: employees
Text: # HR Record\n\n# Alex Chen\n\n## Summary\n- **Date of Birth:** March 15, 1990 \n- **Job Title:** Backend ...", + "Type: employees
Text: ## Other HR Notes\n- Alex Thomson is an active member of the Diversity and Inclusion committee at Ins...", + "Type: products
Text: - **Mobile Integration**: Carllm is designed to work seamlessly with mobile applications, providing ...", + "Type: employees
Text: ## Other HR Notes\n- **Professional Development**: Avery has actively participated in leadership trai...", + "Type: contracts
Text: ## Features\n1. **AI-Powered Matching**: Access to advanced algorithms that connect GreenField Holdin...", + "Type: products
Text: ### Regulatory Compliance Tools\nRellm includes built-in compliance tracking features to help organiz...", + "Type: contracts
Text: ## Renewal\n\n1. **Automatic Renewal**: This contract will automatically renew for successive 12-month...", + "Type: contracts
Text: 3. **Regular Updates:** Insurellm will offer ongoing updates and enhancements to the Homellm platfor...", + "Type: employees
Text: ## Annual Performance History\n- **2021:** First year at Insurellm; achieved 90% of monthly targets. ...", + "Type: contracts
Text: ______________________________ \n[Name], [Title] \nDate: ______________________\n\n**For Greenstone In...", + "Type: products
Text: With Homellm, Insurellm is committed to transforming the landscape of home insurance, ensuring both ...", + "Type: products
Text: - **Customer Support**: Our dedicated support team is always available to assist both consumers and ...", + "Type: products
Text: ### Q2 2025: Customer Experience Improvements\n- Launch of a new **mobile app** for end-users.\n- Intr...", + "Type: contracts
Text: ---\n\n## Renewal\n\n1. **Automatic Renewal**: This agreement will automatically renew for an additional...", + "Type: employees
Text: - **Professional Development Goals**: \n - Emily Tran aims to become a Marketing Manager within the...", + "Type: products
Text: - **Instant Quoting**: With Carllm, insurance companies can offer near-instant quotes to customers, ...", + "Type: contracts
Text: - **Customer Portal**: A dedicated portal will be provided, allowing the Customer's clients to manag...", + "Type: employees
Text: # HR Record\n\n# Emily Tran\n\n## Summary\n- **Date of Birth:** March 18, 1991 \n- **Job Title:** Digital...", + "Type: contracts
Text: ## Renewal\n1. **Renewal Terms**: At the end of the initial term, this Contract shall automatically r...", + "Type: employees
Text: - **2022**: \n - **Base Salary**: $65,000 (Promotion to Senior SDR) \n - **Bonus**: $13,000 (20% o...", + "Type: contracts
Text: 2. **Real-Time Quote Availability:** \n Consumers sourced via BrightWay Solutions will receive rea...", + "Type: products
Text: - **User-Friendly Interface**: Designed with user experience in mind, Markellm features an intuitive...", + "Type: employees
Text: # HR Record\n\n# Emily Carter\n\n## Summary\n- **Date of Birth:** August 12, 1990 \n- **Job Title:** Acco...", + "Type: contracts
Text: # Contract with BrightWay Solutions for Markellm\n\n**Contract Date:** October 5, 2023 \n**Contract ID...", + "Type: employees
Text: # HR Record\n\n# Alex Thomson\n\n## Summary\n- **Date of Birth:** March 15, 1995 \n- **Job Title:** Sales...", + "Type: products
Text: ### Seamless Integrations\nRellm's architecture is designed for effortless integration with existing ...", + "Type: employees
Text: ## Compensation History\n- **2017**: $70,000 (Junior Data Engineer) \n- **2018**: $75,000 (Junior Dat...", + "Type: contracts
Text: **Belvedere Insurance** \nSignature: ______________________ \nName: [Authorized Signatory] \nTitle: ...", + "Type: products
Text: ### 2. 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Text: {d[:100]}...\" for t, d in zip(doc_types, documents)],\n", + " hoverinfo='text'\n", + ")])\n", + "\n", + "fig.update_layout(\n", + " title='2D Chroma Vector Store Visualization',\n", + " scene=dict(xaxis_title='x',yaxis_title='y'),\n", + " width=800,\n", + " height=600,\n", + " margin=dict(r=20, b=10, l=10, t=40)\n", + ")\n", + "\n", + "fig.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "e1418e88-acd5-460a-bf2b-4e6efc88e3dd", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "hoverinfo": "text", + "marker": { + "color": [ + "red", + "red", + "red", + "red", + "red", + "green", + "red", + "orange", + "green", + "red", + "red", + "red", + "red", + "blue", + "green", + "blue", + "red", + "red", + "green", + "green", + "blue", + "red", + "red", + "green", + "red", + "green", + "green", + "blue", + "red", + "red", + "green", + "red", + "blue", + "red", + "blue", + "green", + "red", + "red", + "red", + "orange", + "blue", + "red", + "green", + "green", + "red", + "green", + "red", + "red", + "green", + "blue", + "green", + "green", + "red", + "red", + "green", + "red", + "green", + "red", + "green", + "green", + "red", + "red", + "red", + "red", + "blue", + "green", + "green", + "green", + "red", + "blue", + "red", + "blue", + "green", + "red", + "green", + "red", + "orange", + "green", + "red", + "green", + "green", + "green", + "green", + "red", + "green", + "green", + "green", + "green", + "green", + "red", + "blue", + "green", + "red", + "green", + "green", + "green", + "blue", + "green", + "red", + "blue", + "red", + "red", + "green", + "red", + "blue", + "blue", + "blue", + "red", + "green", + "blue", + "red", + "green", + "red", + "green", + "red", + "blue", + "green", + "red", + "green", + "blue", + "green", + "red", + "blue" + ], + "opacity": 0.8, + "size": 5 + }, + "mode": "markers", + "text": [ + "Type: contracts
Text: ## Support\n\n1. **Customer Support**: Insurellm will provide 24/7 customer support to TechDrive Insur...", + "Type: contracts
Text: 1. **Core Functionality**: Rellm provides EverGuard Insurance with advanced AI-driven analytics, sea...", + "Type: contracts
Text: ## Features\n1. **AI-Powered Matching**: Belvedere Insurance will benefit from Markellm's AI-powered ...", + "Type: contracts
Text: 1. **Technical Support**: Provider shall offer dedicated technical support to the Client via phone, ...", + "Type: contracts
Text: 1. **AI-Powered Risk Assessment:** Access to advanced AI algorithms for real-time risk evaluations.\n...", + "Type: employees
Text: - **2017-2019:** Marketing Intern \n - Assisted with market research and campaign development for s...", + "Type: contracts
Text: ## Renewal\n1. **Renewal Terms**: This Agreement may be renewed for additional one-year terms upon mu...", + "Type: company
Text: # Overview of Insurellm\n\nInsurellm is an innovative insurance tech firm with 200 employees across th...", + "Type: employees
Text: - **January 2017 - May 2018**: Marketing Intern \n - Supported the Marketing team by collaborating ...", + "Type: contracts
Text: # Contract with Greenstone Insurance for Homellm\n\n---\n\n## Terms\n\n1. **Parties**: This Contract (\"Agr...", + "Type: contracts
Text: ## Features\nStellar Insurance Co. will receive access to the following features of the Rellm product...", + "Type: contracts
Text: 1. **Customer Support**: Insurellm will provide EverGuard Insurance with 24/7 customer support, incl...", + "Type: contracts
Text: ---\n\n## Features\n\n1. **Access to Core Features**: Roadway Insurance Inc. will have access to all Pro...", + "Type: products
Text: ### 5. Multi-Channel Integration\nHomellm seamlessly integrates into existing insurance platforms, pr...", + "Type: employees
Text: - **2021**: *Exceeds Expectations* \n Maxine spearheaded the transition to a new data warehousing s...", + "Type: products
Text: # Product Summary\n\n# Markellm\n\n## Summary\n\nMarkellm is an innovative two-sided marketplace designed ...", + "Type: contracts
Text: ## Renewal\n\n1. **Automatic Renewal**: This Agreement will automatically renew for successive one-yea...", + "Type: contracts
Text: ## Support\n1. **Technical Support**: Insurellm shall provide 24/7 technical support via an email and...", + "Type: employees
Text: ## Compensation History\n- **2020:** Base Salary: $80,000 \n- **2021:** Base Salary Increase to $90,0...", + "Type: employees
Text: # Avery Lancaster\n\n## Summary\n- **Date of Birth**: March 15, 1985 \n- **Job Title**: Co-Founder & Ch...", + "Type: products
Text: Join the growing number of organizations leveraging Rellm to enhance their reinsurance processes whi...", + "Type: contracts
Text: # Contract with Apex Reinsurance for Rellm: AI-Powered Enterprise Reinsurance Solution\n\n## Terms\n\n1....", + "Type: contracts
Text: ## Renewal\n\n1. **Automatic Renewal**: This contract shall automatically renew for additional one-yea...", + "Type: employees
Text: ## Compensation History\n| Year | Base Salary | Bonus | Total Compensation |\n|------|--------...", + "Type: contracts
Text: # Contract with TechDrive Insurance for Carllm\n\n**Contract Date:** October 1, 2024 \n**Contract Dura...", + "Type: employees
Text: Emily Carter exemplifies the kind of talent that drives Insurellm's success and is an invaluable ass...", + "Type: employees
Text: - **2018**: **Exceeds Expectations** \n Under Avery’s pivoted vision, Insurellm launched two new su...", + "Type: products
Text: # Product Summary\n\n# Carllm\n\n## Summary\n\nCarllm is an innovative auto insurance product developed by...", + "Type: contracts
Text: ### Termination\nEither party may terminate this agreement with a **30-day written notice**. In the e...", + "Type: contracts
Text: **Signatures:** \n_________________________ _________________________ \n**...", + "Type: employees
Text: ## Compensation History\n- **2020:** Base Salary - $55,000 \n The entry-level salary matched industr...", + "Type: contracts
Text: # Contract with GreenValley Insurance for Homellm\n\n**Contract Date:** October 6, 2023 \n**Contract N...", + "Type: products
Text: ### For Insurance Companies:\n- **Basic Listing Fee**: $199/month for a featured listing on the platf...", + "Type: contracts
Text: ## Support\nInsurellm provides Stellar Insurance Co. with the following support services:\n\n- **24/7 T...", + "Type: products
Text: Experience the future of reinsurance with Rellm, where innovation meets reliability. Let Insurellm h...", + "Type: employees
Text: ## Compensation History\n- **2015**: $150,000 base salary + Significant equity stake \n- **2016**: $1...", + "Type: contracts
Text: **TechDrive Insurance Representative:** \nName: Sarah Johnson \nTitle: Operations Director \nDate: _...", + "Type: contracts
Text: 3. **Training and Onboarding:** \n Insurellm agrees to provide one free training session on how to...", + "Type: contracts
Text: ## Support\n1. **Customer Support Access**: The Client will have access to dedicated support through ...", + "Type: company
Text: # Careers at Insurellm\n\nInsurellm is hiring! We are looking for talented software engineers, data sc...", + "Type: products
Text: # Product Summary\n\n# Rellm: AI-Powered Enterprise Reinsurance Solution\n\n## Summary\n\nRellm is an inno...", + "Type: contracts
Text: 4. **Payment Terms**: \n - The Customer shall pay an amount of $10,000 per month for the Standard T...", + "Type: employees
Text: # HR Record\n\n# Samuel Trenton\n\n## Summary\n- **Date of Birth:** April 12, 1989 \n- **Job Title:** Sen...", + "Type: employees
Text: ## Annual Performance History\n- **2018**: **3/5** - Adaptable team player but still learning to take...", + "Type: contracts
Text: # Contract with Pinnacle Insurance Co. for Homellm\n\n## Terms\nThis contract (\"Contract\") is entered i...", + "Type: employees
Text: ## Annual Performance History\n- **2023:** Rating: 4.5/5 \n *Samuel exceeded expectations, successfu...", + "Type: contracts
Text: **Insurellm, Inc.** \n_____________________________ \nAuthorized Signature \nDate: ________________...", + "Type: contracts
Text: ---\n\n## Features\n\n- **AI-Powered Risk Assessment**: Customer will have access to enhanced risk evalu...", + "Type: employees
Text: - **2022**: **Satisfactory** \n Avery focused on rebuilding team dynamics and addressing employee c...", + "Type: products
Text: ### Q3 2025\n- Initiate a comprehensive marketing campaign targeting both consumers and insurers to i...", + "Type: employees
Text: # HR Record\n\n# Oliver Spencer\n\n## Summary\n- **Date of Birth**: May 14, 1990 \n- **Job Title**: Backe...", + "Type: employees
Text: # HR Record\n\n# Jordan K. Bishop\n\n## Summary\n- **Date of Birth:** March 15, 1990\n- **Job Title:** Fro...", + "Type: contracts
Text: ## Features\n1. **AI-Powered Risk Assessment**: Utilized for tailored underwriting decisions specific...", + "Type: contracts
Text: # Contract with Belvedere Insurance for Markellm\n\n## Terms\nThis Contract (\"Agreement\") is made and e...", + "Type: employees
Text: ## Annual Performance History\n- **2019:** Exceeds Expectations - Continuously delivered high-quality...", + "Type: contracts
Text: ## Support\n1. **Technical Support**: Technical support will be available from 9 AM to 7 PM EST, Mond...", + "Type: employees
Text: ## Other HR Notes\n- Jordan K. Bishop has been an integral part of club initiatives, including the In...", + "Type: contracts
Text: 4. **Usage Rights**: EverGuard Insurance is granted a non-exclusive, non-transferable license to acc...", + "Type: employees
Text: ## Compensation History\n- **March 2018**: Initial salary of $80,000.\n- **July 2019**: Salary increas...", + "Type: employees
Text: ## Compensation History\n- **2023:** Base Salary: $115,000 + Bonus: $15,000 \n *Annual bonus based o...", + "Type: contracts
Text: ---\n\n**Signatures** \n**For Insurellm**: __________________________ \n**Name**: John Smith \n**Title...", + "Type: contracts
Text: # Contract with Velocity Auto Solutions for Carllm\n\n**Contract Date:** October 1, 2023 \n**Contract ...", + "Type: contracts
Text: 4. **Confidentiality:** Both parties agree to maintain the confidentiality of proprietary informatio...", + "Type: contracts
Text: ---\n\n## Support\n\n1. **Technical Support**: Roadway Insurance Inc. will receive priority technical su...", + "Type: products
Text: - **Professional Tier**: $2,500/month\n - For medium-sized companies.\n - All Basic Tier features pl...", + "Type: employees
Text: # HR Record\n\n# Alex Harper\n\n## Summary\n- **Date of Birth**: March 15, 1993 \n- **Job Title**: Sales ...", + "Type: employees
Text: - **Engagement in Company Culture:** Regularly participates in team-building events and contributes ...", + "Type: employees
Text: ## Other HR Notes\n- Jordan has shown an interest in continuing education, actively participating in ...", + "Type: contracts
Text: # Contract with EverGuard Insurance for Rellm: AI-Powered Enterprise Reinsurance Solution\n\n**Contrac...", + "Type: products
Text: All tiers include a comprehensive training program and ongoing updates to ensure optimal performance...", + "Type: contracts
Text: ## Support\n\n1. **Customer Support**: Velocity Auto Solutions will have access to Insurellm’s custome...", + "Type: products
Text: # Product Summary\n\n# Homellm\n\n## Summary\nHomellm is an innovative home insurance product developed b...", + "Type: employees
Text: - **2021**: \n - Performance Rating: Meets Expectations \n - Key Achievements: Contributed to the ...", + "Type: contracts
Text: # Contract with Roadway Insurance Inc. for Carllm\n\n---\n\n## Terms\n\n1. **Agreement Effective Date**: T...", + "Type: employees
Text: - **2023:** Base Salary - $70,000 \n Recognized for substantial improvement in employee relations m...", + "Type: contracts
Text: # Contract with Stellar Insurance Co. for Rellm\n\n## Terms\nThis contract is made between **Insurellm*...", + "Type: company
Text: # About Insurellm\n\nInsurellm was founded by Avery Lancaster in 2015 as an insurance tech startup des...", + "Type: employees
Text: # Samantha Greene\n\n## Summary\n- **Date of Birth:** October 14, 1990\n- **Job Title:** HR Generalist\n-...", + "Type: contracts
Text: # Contract with GreenField Holdings for Markellm\n\n**Effective Date:** November 15, 2023 \n**Contract...", + "Type: employees
Text: ## Annual Performance History\n- **2017**: *Meets Expectations* \n Maxine showed potential in her ro...", + "Type: employees
Text: ## Insurellm Career Progression\n- **January 2017 - October 2018**: **Junior Data Engineer** \n * Ma...", + "Type: employees
Text: Alex Chen continues to be a vital asset at Insurellm, contributing significantly to innovative backe...", + "Type: employees
Text: - **2010 - 2013**: Business Analyst at Edge Analytics \n Prior to joining Innovate, Avery worked as...", + "Type: contracts
Text: ## Renewal\n1. **Automatic Renewal**: This contract will automatically renew for sequential one-year ...", + "Type: employees
Text: ## Annual Performance History\n- **2020:** \n - Completed onboarding successfully. \n - Met expecta...", + "Type: employees
Text: ## Compensation History\n- **June 2018:** Starting Salary - $85,000\n- **June 2019:** Salary Increase ...", + "Type: employees
Text: ## Annual Performance History \n- **2022** - Rated as \"Exceeds Expectations.\" Alex Thomson achieved ...", + "Type: employees
Text: ## Annual Performance History \n- **2021**: \n - **Performance Rating**: 4.5/5 \n - **Key Achievem...", + "Type: employees
Text: # HR Record\n\n# Maxine Thompson\n\n## Summary\n- **Date of Birth:** January 15, 1991 \n- **Job Title:** ...", + "Type: contracts
Text: 2. **Seamless Integrations**: The architecture of Rellm allows for easy integration with existing sy...", + "Type: products
Text: - **Basic Tier:** Starting at $5,000/month for small insurers with basic integration features.\n- **S...", + "Type: employees
Text: ## Annual Performance History\n- **2020:** Exceeds Expectations \n Samantha Greene demonstrated exce...", + "Type: contracts
Text: 3. **Service Level Agreement (SLA):** \n Insurellm commits to a 99.9% uptime for the platform with...", + "Type: employees
Text: # HR Record\n\n# Jordan Blake\n\n## Summary\n- **Date of Birth:** March 15, 1993 \n- **Job Title:** Sales...", + "Type: employees
Text: # HR Record\n\n# Alex Chen\n\n## Summary\n- **Date of Birth:** March 15, 1990 \n- **Job Title:** Backend ...", + "Type: employees
Text: ## Other HR Notes\n- Alex Thomson is an active member of the Diversity and Inclusion committee at Ins...", + "Type: products
Text: - **Mobile Integration**: Carllm is designed to work seamlessly with mobile applications, providing ...", + "Type: employees
Text: ## Other HR Notes\n- **Professional Development**: Avery has actively participated in leadership trai...", + "Type: contracts
Text: ## Features\n1. **AI-Powered Matching**: Access to advanced algorithms that connect GreenField Holdin...", + "Type: products
Text: ### Regulatory Compliance Tools\nRellm includes built-in compliance tracking features to help organiz...", + "Type: contracts
Text: ## Renewal\n\n1. **Automatic Renewal**: This contract will automatically renew for successive 12-month...", + "Type: contracts
Text: 3. **Regular Updates:** Insurellm will offer ongoing updates and enhancements to the Homellm platfor...", + "Type: employees
Text: ## Annual Performance History\n- **2021:** First year at Insurellm; achieved 90% of monthly targets. ...", + "Type: contracts
Text: ______________________________ \n[Name], [Title] \nDate: ______________________\n\n**For Greenstone In...", + "Type: products
Text: With Homellm, Insurellm is committed to transforming the landscape of home insurance, ensuring both ...", + "Type: products
Text: - **Customer Support**: Our dedicated support team is always available to assist both consumers and ...", + "Type: products
Text: ### Q2 2025: Customer Experience Improvements\n- Launch of a new **mobile app** for end-users.\n- Intr...", + "Type: contracts
Text: ---\n\n## Renewal\n\n1. **Automatic Renewal**: This agreement will automatically renew for an additional...", + "Type: employees
Text: - **Professional Development Goals**: \n - Emily Tran aims to become a Marketing Manager within the...", + "Type: products
Text: - **Instant Quoting**: With Carllm, insurance companies can offer near-instant quotes to customers, ...", + "Type: contracts
Text: - **Customer Portal**: A dedicated portal will be provided, allowing the Customer's clients to manag...", + "Type: employees
Text: # HR Record\n\n# Emily Tran\n\n## Summary\n- **Date of Birth:** March 18, 1991 \n- **Job Title:** Digital...", + "Type: contracts
Text: ## Renewal\n1. **Renewal Terms**: At the end of the initial term, this Contract shall automatically r...", + "Type: employees
Text: - **2022**: \n - **Base Salary**: $65,000 (Promotion to Senior SDR) \n - **Bonus**: $13,000 (20% o...", + "Type: contracts
Text: 2. **Real-Time Quote Availability:** \n Consumers sourced via BrightWay Solutions will receive rea...", + "Type: products
Text: - **User-Friendly Interface**: Designed with user experience in mind, Markellm features an intuitive...", + "Type: employees
Text: # HR Record\n\n# Emily Carter\n\n## Summary\n- **Date of Birth:** August 12, 1990 \n- **Job Title:** Acco...", + "Type: contracts
Text: # Contract with BrightWay Solutions for Markellm\n\n**Contract Date:** October 5, 2023 \n**Contract ID...", + "Type: employees
Text: # HR Record\n\n# Alex Thomson\n\n## Summary\n- **Date of Birth:** March 15, 1995 \n- **Job Title:** Sales...", + "Type: products
Text: ### Seamless Integrations\nRellm's architecture is designed for effortless integration with existing ...", + "Type: employees
Text: ## Compensation History\n- **2017**: $70,000 (Junior Data Engineer) \n- **2018**: $75,000 (Junior Dat...", + "Type: contracts
Text: **Belvedere Insurance** \nSignature: ______________________ \nName: [Authorized Signatory] \nTitle: ...", + "Type: products
Text: ### 2. 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", + "text/html": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Let's try 3D!\n", + "\n", + "tsne = TSNE(n_components=3, random_state=42)\n", + "reduced_vectors = tsne.fit_transform(vectors)\n", + "\n", + "# Create the 3D scatter plot\n", + "fig = go.Figure(data=[go.Scatter3d(\n", + " x=reduced_vectors[:, 0],\n", + " y=reduced_vectors[:, 1],\n", + " z=reduced_vectors[:, 2],\n", + " mode='markers',\n", + " marker=dict(size=5, color=colors, opacity=0.8),\n", + " text=[f\"Type: {t}
Text: {d[:100]}...\" for t, d in zip(doc_types, documents)],\n", + " hoverinfo='text'\n", + ")])\n", + "\n", + "fig.update_layout(\n", + " title='3D Chroma Vector Store Visualization',\n", + " scene=dict(xaxis_title='x', yaxis_title='y', zaxis_title='z'),\n", + " width=900,\n", + " height=700,\n", + " margin=dict(r=20, b=10, l=10, t=40)\n", + ")\n", + "\n", + "fig.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9b3ada26-b4b7-42fc-b943-933c14adf89b", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/week5/day4.5.ipynb b/week5/day4.5.ipynb new file mode 100644 index 0000000..b3f25e5 --- /dev/null +++ b/week5/day4.5.ipynb @@ -0,0 +1,3433 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "dfe37963-1af6-44fc-a841-8e462443f5e6", + "metadata": {}, + "source": [ + "## Expert Knowledge Worker\n", + "\n", + "## Extra Jupyter Notebook - Day 4.5 - switch out Chroma for FAISS!\n", + "\n", + "FAISS is Facebook AI Similarity Search" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "ba2779af-84ef-4227-9e9e-6eaf0df87e77", + "metadata": {}, + "outputs": [], + "source": [ + "# imports\n", + "\n", + "import os\n", + "import glob\n", + "from dotenv import load_dotenv\n", + "import gradio as gr" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "802137aa-8a74-45e0-a487-d1974927d7ca", + "metadata": {}, + "outputs": [], + "source": [ + "# imports for langchain\n", + "\n", + "from langchain.document_loaders import DirectoryLoader, TextLoader\n", + "from langchain.text_splitter import CharacterTextSplitter\n", + "from langchain.schema import Document\n", + "from langchain_openai import OpenAIEmbeddings, ChatOpenAI\n", + "# from langchain_chroma import Chroma\n", + "from langchain.vectorstores import FAISS\n", + "import numpy as np\n", + "from sklearn.manifold import TSNE\n", + "import plotly.graph_objects as go\n", + "from langchain.memory import ConversationBufferMemory\n", + "from langchain.chains import ConversationalRetrievalChain" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "58c85082-e417-4708-9efe-81a5d55d1424", + "metadata": {}, + "outputs": [], + "source": [ + "# price is a factor for our company, so we're going to use a low cost model\n", + "\n", + "MODEL = \"gpt-4o-mini\"\n", + "db_name = \"vector_db\"" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "ee78efcb-60fe-449e-a944-40bab26261af", + "metadata": {}, + "outputs": [], + "source": [ + "# Load environment variables in a file called .env\n", + "\n", + "load_dotenv()\n", + "os.environ['OPENAI_API_KEY'] = os.getenv('OPENAI_API_KEY', 'your-key-if-not-using-env')" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "730711a9-6ffe-4eee-8f48-d6cfb7314905", + "metadata": {}, + "outputs": [], + "source": [ + "# Read in documents using LangChain's loaders\n", + "# Take everything in all the sub-folders of our knowledgebase\n", + "\n", + "folders = glob.glob(\"knowledge-base/*\")\n", + "\n", + "documents = []\n", + "for folder in folders:\n", + " doc_type = os.path.basename(folder)\n", + " loader = DirectoryLoader(folder, glob=\"**/*.md\", loader_cls=TextLoader)\n", + " folder_docs = loader.load()\n", + " for doc in folder_docs:\n", + " doc.metadata[\"doc_type\"] = doc_type\n", + " documents.append(doc)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "7310c9c8-03c1-4efc-a104-5e89aec6db1a", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Created a chunk of size 1088, which is longer than the specified 1000\n" + ] + } + ], + "source": [ + "text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=200)\n", + "chunks = text_splitter.split_documents(documents)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "cd06e02f-6d9b-44cc-a43d-e1faa8acc7bb", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "123" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(chunks)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "2c54b4b6-06da-463d-bee7-4dd456c2b887", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Document types found: employees, products, company, contracts\n" + ] + } + ], + "source": [ + "doc_types = set(chunk.metadata['doc_type'] for chunk in chunks)\n", + "print(f\"Document types found: {', '.join(doc_types)}\")" + ] + }, + { + "cell_type": "markdown", + "id": "77f7d2a6-ccfa-425b-a1c3-5e55b23bd013", + "metadata": {}, + "source": [ + "## A sidenote on Embeddings, and \"Auto-Encoding LLMs\"\n", + "\n", + "We will be mapping each chunk of text into a Vector that represents the meaning of the text, known as an embedding.\n", + "\n", + "OpenAI offers a model to do this, which we will use by calling their API with some LangChain code.\n", + "\n", + "This model is an example of an \"Auto-Encoding LLM\" which generates an output given a complete input.\n", + "It's different to all the other LLMs we've discussed today, which are known as \"Auto-Regressive LLMs\", and generate future tokens based only on past context.\n", + "\n", + "Another example of an Auto-Encoding LLMs is BERT from Google. In addition to embedding, Auto-encoding LLMs are often used for classification.\n", + "\n", + "More details in the resources." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "78998399-ac17-4e28-b15f-0b5f51e6ee23", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "There are 123 vectors with 1,536 dimensions in the vector store\n" + ] + } + ], + "source": [ + "# Put the chunks of data into a Vector Store that associates a Vector Embedding with each chunk\n", + "# Chroma is a popular open source Vector Database based on SQLLite\n", + "\n", + "embeddings = OpenAIEmbeddings()\n", + "\n", + "# Create vectorstore\n", + "\n", + "# BEFORE\n", + "# vectorstore = Chroma.from_documents(documents=chunks, embedding=embeddings, persist_directory=db_name)\n", + "\n", + "# AFTER\n", + "vectorstore = FAISS.from_documents(chunks, embedding=embeddings)\n", + "\n", + "total_vectors = vectorstore.index.ntotal\n", + "dimensions = vectorstore.index.d\n", + "\n", + "print(f\"There are {total_vectors} vectors with {dimensions:,} dimensions in the vector store\")" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "057868f6-51a6-4087-94d1-380145821550", + "metadata": {}, + "outputs": [], + "source": [ + "# Prework\n", + "vectors = []\n", + "documents = []\n", + "doc_types = []\n", + "colors = []\n", + "color_map = {'products':'blue', 'employees':'green', 'contracts':'red', 'company':'orange'}\n", + "\n", + "for i in range(total_vectors):\n", + " vectors.append(vectorstore.index.reconstruct(i))\n", + " doc_id = vectorstore.index_to_docstore_id[i]\n", + " document = vectorstore.docstore.search(doc_id)\n", + " documents.append(document.page_content)\n", + " doc_type = document.metadata['doc_type']\n", + " doc_types.append(doc_type)\n", + " colors.append(color_map[doc_type])\n", + " \n", + "vectors = np.array(vectors)" + ] + }, + { + "cell_type": "markdown", + "id": "b0d45462-a818-441c-b010-b85b32bcf618", + "metadata": {}, + "source": [ + "## Visualizing the Vector Store\n", + "\n", + "Let's take a minute to look at the documents and their embedding vectors to see what's going on." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "427149d5-e5d8-4abd-bb6f-7ef0333cca21", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + " \n", + " " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "hoverinfo": "text", + "marker": { + "color": [ + "blue", + "blue", + "blue", + "blue", + "blue", + "blue", + "blue", + "blue", + "blue", + "blue", + "blue", + "blue", + "blue", + "blue", + "blue", + "blue", + "blue", + "blue", + "blue", + "blue", + "blue", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "orange", + "orange", + "orange", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green" + ], + "opacity": 0.8, + "size": 5 + }, + "mode": "markers", + "text": [ + "Type: products
Text: # Product Summary\n\n# Rellm: AI-Powered Enterprise Reinsurance Solution\n\n## Summary\n\nRellm is an inno...", + "Type: products
Text: ### Seamless Integrations\nRellm's architecture is designed for effortless integration with existing ...", + "Type: products
Text: ### Regulatory Compliance Tools\nRellm includes built-in compliance tracking features to help organiz...", + "Type: products
Text: Join the growing number of organizations leveraging Rellm to enhance their reinsurance processes whi...", + "Type: products
Text: Experience the future of reinsurance with Rellm, where innovation meets reliability. Let Insurellm h...", + "Type: products
Text: # Product Summary\n\n# Markellm\n\n## Summary\n\nMarkellm is an innovative two-sided marketplace designed ...", + "Type: products
Text: - **User-Friendly Interface**: Designed with user experience in mind, Markellm features an intuitive...", + "Type: products
Text: - **Customer Support**: Our dedicated support team is always available to assist both consumers and ...", + "Type: products
Text: ### For Insurance Companies:\n- **Basic Listing Fee**: $199/month for a featured listing on the platf...", + "Type: products
Text: ### Q3 2025\n- Initiate a comprehensive marketing campaign targeting both consumers and insurers to i...", + "Type: products
Text: # Product Summary\n\n# Homellm\n\n## Summary\nHomellm is an innovative home insurance product developed b...", + "Type: products
Text: ### 2. Dynamic Pricing Model\nWith Homellm's innovative dynamic pricing model, insurance providers ca...", + "Type: products
Text: ### 5. Multi-Channel Integration\nHomellm seamlessly integrates into existing insurance platforms, pr...", + "Type: products
Text: - **Basic Tier:** Starting at $5,000/month for small insurers with basic integration features.\n- **S...", + "Type: products
Text: All tiers include a comprehensive training program and ongoing updates to ensure optimal performance...", + "Type: products
Text: With Homellm, Insurellm is committed to transforming the landscape of home insurance, ensuring both ...", + "Type: products
Text: # Product Summary\n\n# Carllm\n\n## Summary\n\nCarllm is an innovative auto insurance product developed by...", + "Type: products
Text: - **Instant Quoting**: With Carllm, insurance companies can offer near-instant quotes to customers, ...", + "Type: products
Text: - **Mobile Integration**: Carllm is designed to work seamlessly with mobile applications, providing ...", + "Type: products
Text: - **Professional Tier**: $2,500/month\n - For medium-sized companies.\n - All Basic Tier features pl...", + "Type: products
Text: ### Q2 2025: Customer Experience Improvements\n- Launch of a new **mobile app** for end-users.\n- Intr...", + "Type: contracts
Text: # Contract with GreenField Holdings for Markellm\n\n**Effective Date:** November 15, 2023 \n**Contract...", + "Type: contracts
Text: ## Renewal\n1. **Automatic Renewal**: This contract will automatically renew for sequential one-year ...", + "Type: contracts
Text: ## Features\n1. **AI-Powered Matching**: Access to advanced algorithms that connect GreenField Holdin...", + "Type: contracts
Text: ## Support\n1. **Customer Support Access**: The Client will have access to dedicated support through ...", + "Type: contracts
Text: **Signatures:** \n_________________________ _________________________ \n**...", + "Type: contracts
Text: # Contract with Greenstone Insurance for Homellm\n\n---\n\n## Terms\n\n1. **Parties**: This Contract (\"Agr...", + "Type: contracts
Text: 4. **Payment Terms**: \n - The Customer shall pay an amount of $10,000 per month for the Standard T...", + "Type: contracts
Text: ---\n\n## Features\n\n- **AI-Powered Risk Assessment**: Customer will have access to enhanced risk evalu...", + "Type: contracts
Text: - **Customer Portal**: A dedicated portal will be provided, allowing the Customer's clients to manag...", + "Type: contracts
Text: ______________________________ \n[Name], [Title] \nDate: ______________________\n\n**For Greenstone In...", + "Type: contracts
Text: # Contract with Roadway Insurance Inc. for Carllm\n\n---\n\n## Terms\n\n1. **Agreement Effective Date**: T...", + "Type: contracts
Text: ---\n\n## Renewal\n\n1. **Automatic Renewal**: This agreement will automatically renew for an additional...", + "Type: contracts
Text: ---\n\n## Features\n\n1. **Access to Core Features**: Roadway Insurance Inc. will have access to all Pro...", + "Type: contracts
Text: ---\n\n## Support\n\n1. **Technical Support**: Roadway Insurance Inc. will receive priority technical su...", + "Type: contracts
Text: # Contract with Stellar Insurance Co. for Rellm\n\n## Terms\nThis contract is made between **Insurellm*...", + "Type: contracts
Text: ### Termination\nEither party may terminate this agreement with a **30-day written notice**. In the e...", + "Type: contracts
Text: ## Features\nStellar Insurance Co. will receive access to the following features of the Rellm product...", + "Type: contracts
Text: ## Support\nInsurellm provides Stellar Insurance Co. with the following support services:\n\n- **24/7 T...", + "Type: contracts
Text: # Contract with TechDrive Insurance for Carllm\n\n**Contract Date:** October 1, 2024 \n**Contract Dura...", + "Type: contracts
Text: ## Renewal\n\n1. **Automatic Renewal**: This contract shall automatically renew for additional one-yea...", + "Type: contracts
Text: ## Support\n\n1. **Customer Support**: Insurellm will provide 24/7 customer support to TechDrive Insur...", + "Type: contracts
Text: **TechDrive Insurance Representative:** \nName: Sarah Johnson \nTitle: Operations Director \nDate: _...", + "Type: contracts
Text: # Contract with EverGuard Insurance for Rellm: AI-Powered Enterprise Reinsurance Solution\n\n**Contrac...", + "Type: contracts
Text: 4. **Usage Rights**: EverGuard Insurance is granted a non-exclusive, non-transferable license to acc...", + "Type: contracts
Text: 1. **Core Functionality**: Rellm provides EverGuard Insurance with advanced AI-driven analytics, sea...", + "Type: contracts
Text: 1. **Customer Support**: Insurellm will provide EverGuard Insurance with 24/7 customer support, incl...", + "Type: contracts
Text: ---\n\n**Signatures** \n**For Insurellm**: __________________________ \n**Name**: John Smith \n**Title...", + "Type: contracts
Text: # Contract with Belvedere Insurance for Markellm\n\n## Terms\nThis Contract (\"Agreement\") is made and e...", + "Type: contracts
Text: ## Renewal\n1. **Renewal Terms**: This Agreement may be renewed for additional one-year terms upon mu...", + "Type: contracts
Text: ## Features\n1. **AI-Powered Matching**: Belvedere Insurance will benefit from Markellm's AI-powered ...", + "Type: contracts
Text: ## Support\n1. **Technical Support**: Technical support will be available from 9 AM to 7 PM EST, Mond...", + "Type: contracts
Text: **Belvedere Insurance** \nSignature: ______________________ \nName: [Authorized Signatory] \nTitle: ...", + "Type: contracts
Text: # Contract with Apex Reinsurance for Rellm: AI-Powered Enterprise Reinsurance Solution\n\n## Terms\n\n1....", + "Type: contracts
Text: ## Renewal\n\n1. **Automatic Renewal**: This Agreement will automatically renew for successive one-yea...", + "Type: contracts
Text: 2. **Seamless Integrations**: The architecture of Rellm allows for easy integration with existing sy...", + "Type: contracts
Text: 1. **Technical Support**: Provider shall offer dedicated technical support to the Client via phone, ...", + "Type: contracts
Text: **Insurellm, Inc.** \n_____________________________ \nAuthorized Signature \nDate: ________________...", + "Type: contracts
Text: # Contract with Velocity Auto Solutions for Carllm\n\n**Contract Date:** October 1, 2023 \n**Contract ...", + "Type: contracts
Text: ## Renewal\n\n1. **Automatic Renewal**: This contract will automatically renew for successive 12-month...", + "Type: contracts
Text: ## Support\n\n1. **Customer Support**: Velocity Auto Solutions will have access to Insurellm’s custome...", + "Type: contracts
Text: # Contract with GreenValley Insurance for Homellm\n\n**Contract Date:** October 6, 2023 \n**Contract N...", + "Type: contracts
Text: 4. **Confidentiality:** Both parties agree to maintain the confidentiality of proprietary informatio...", + "Type: contracts
Text: 1. **AI-Powered Risk Assessment:** Access to advanced AI algorithms for real-time risk evaluations.\n...", + "Type: contracts
Text: 3. **Regular Updates:** Insurellm will offer ongoing updates and enhancements to the Homellm platfor...", + "Type: contracts
Text: # Contract with BrightWay Solutions for Markellm\n\n**Contract Date:** October 5, 2023 \n**Contract ID...", + "Type: contracts
Text: 3. **Service Level Agreement (SLA):** \n Insurellm commits to a 99.9% uptime for the platform with...", + "Type: contracts
Text: 2. **Real-Time Quote Availability:** \n Consumers sourced via BrightWay Solutions will receive rea...", + "Type: contracts
Text: 3. **Training and Onboarding:** \n Insurellm agrees to provide one free training session on how to...", + "Type: contracts
Text: # Contract with Pinnacle Insurance Co. for Homellm\n\n## Terms\nThis contract (\"Contract\") is entered i...", + "Type: contracts
Text: ## Renewal\n1. **Renewal Terms**: At the end of the initial term, this Contract shall automatically r...", + "Type: contracts
Text: ## Features\n1. **AI-Powered Risk Assessment**: Utilized for tailored underwriting decisions specific...", + "Type: contracts
Text: ## Support\n1. **Technical Support**: Insurellm shall provide 24/7 technical support via an email and...", + "Type: company
Text: # Overview of Insurellm\n\nInsurellm is an innovative insurance tech firm with 200 employees across th...", + "Type: company
Text: # Careers at Insurellm\n\nInsurellm is hiring! We are looking for talented software engineers, data sc...", + "Type: company
Text: # About Insurellm\n\nInsurellm was founded by Avery Lancaster in 2015 as an insurance tech startup des...", + "Type: employees
Text: # HR Record\n\n# Alex Chen\n\n## Summary\n- **Date of Birth:** March 15, 1990 \n- **Job Title:** Backend ...", + "Type: employees
Text: ## Annual Performance History\n- **2020:** \n - Completed onboarding successfully. \n - Met expecta...", + "Type: employees
Text: ## Compensation History\n- **2020:** Base Salary: $80,000 \n- **2021:** Base Salary Increase to $90,0...", + "Type: employees
Text: Alex Chen continues to be a vital asset at Insurellm, contributing significantly to innovative backe...", + "Type: employees
Text: # HR Record\n\n# Oliver Spencer\n\n## Summary\n- **Date of Birth**: May 14, 1990 \n- **Job Title**: Backe...", + "Type: employees
Text: ## Annual Performance History\n- **2018**: **3/5** - Adaptable team player but still learning to take...", + "Type: employees
Text: ## Compensation History\n- **March 2018**: Initial salary of $80,000.\n- **July 2019**: Salary increas...", + "Type: employees
Text: # HR Record\n\n# Emily Tran\n\n## Summary\n- **Date of Birth:** March 18, 1991 \n- **Job Title:** Digital...", + "Type: employees
Text: - **January 2017 - May 2018**: Marketing Intern \n - Supported the Marketing team by collaborating ...", + "Type: employees
Text: - **2021**: \n - Performance Rating: Meets Expectations \n - Key Achievements: Contributed to the ...", + "Type: employees
Text: - **Professional Development Goals**: \n - Emily Tran aims to become a Marketing Manager within the...", + "Type: employees
Text: # HR Record\n\n# Jordan Blake\n\n## Summary\n- **Date of Birth:** March 15, 1993 \n- **Job Title:** Sales...", + "Type: employees
Text: ## Annual Performance History\n- **2021:** First year at Insurellm; achieved 90% of monthly targets. ...", + "Type: employees
Text: ## Other HR Notes\n- Jordan has shown an interest in continuing education, actively participating in ...", + "Type: employees
Text: # Avery Lancaster\n\n## Summary\n- **Date of Birth**: March 15, 1985 \n- **Job Title**: Co-Founder & Ch...", + "Type: employees
Text: - **2010 - 2013**: Business Analyst at Edge Analytics \n Prior to joining Innovate, Avery worked as...", + "Type: employees
Text: - **2018**: **Exceeds Expectations** \n Under Avery’s pivoted vision, Insurellm launched two new su...", + "Type: employees
Text: - **2022**: **Satisfactory** \n Avery focused on rebuilding team dynamics and addressing employee c...", + "Type: employees
Text: ## Compensation History\n- **2015**: $150,000 base salary + Significant equity stake \n- **2016**: $1...", + "Type: employees
Text: ## Other HR Notes\n- **Professional Development**: Avery has actively participated in leadership trai...", + "Type: employees
Text: # HR Record\n\n# Maxine Thompson\n\n## Summary\n- **Date of Birth:** January 15, 1991 \n- **Job Title:** ...", + "Type: employees
Text: ## Insurellm Career Progression\n- **January 2017 - October 2018**: **Junior Data Engineer** \n * Ma...", + "Type: employees
Text: ## Annual Performance History\n- **2017**: *Meets Expectations* \n Maxine showed potential in her ro...", + "Type: employees
Text: - **2021**: *Exceeds Expectations* \n Maxine spearheaded the transition to a new data warehousing s...", + "Type: employees
Text: ## Compensation History\n- **2017**: $70,000 (Junior Data Engineer) \n- **2018**: $75,000 (Junior Dat...", + "Type: employees
Text: # Samantha Greene\n\n## Summary\n- **Date of Birth:** October 14, 1990\n- **Job Title:** HR Generalist\n-...", + "Type: employees
Text: ## Annual Performance History\n- **2020:** Exceeds Expectations \n Samantha Greene demonstrated exce...", + "Type: employees
Text: ## Compensation History\n- **2020:** Base Salary - $55,000 \n The entry-level salary matched industr...", + "Type: employees
Text: - **2023:** Base Salary - $70,000 \n Recognized for substantial improvement in employee relations m...", + "Type: employees
Text: # HR Record\n\n# Alex Thomson\n\n## Summary\n- **Date of Birth:** March 15, 1995 \n- **Job Title:** Sales...", + "Type: employees
Text: ## Annual Performance History \n- **2022** - Rated as \"Exceeds Expectations.\" Alex Thomson achieved ...", + "Type: employees
Text: ## Other HR Notes\n- Alex Thomson is an active member of the Diversity and Inclusion committee at Ins...", + "Type: employees
Text: # HR Record\n\n# Samuel Trenton\n\n## Summary\n- **Date of Birth:** April 12, 1989 \n- **Job Title:** Sen...", + "Type: employees
Text: ## Annual Performance History\n- **2023:** Rating: 4.5/5 \n *Samuel exceeded expectations, successfu...", + "Type: employees
Text: ## Compensation History\n- **2023:** Base Salary: $115,000 + Bonus: $15,000 \n *Annual bonus based o...", + "Type: employees
Text: - **Engagement in Company Culture:** Regularly participates in team-building events and contributes ...", + "Type: employees
Text: # HR Record\n\n# Alex Harper\n\n## Summary\n- **Date of Birth**: March 15, 1993 \n- **Job Title**: Sales ...", + "Type: employees
Text: ## Annual Performance History \n- **2021**: \n - **Performance Rating**: 4.5/5 \n - **Key Achievem...", + "Type: employees
Text: - **2022**: \n - **Base Salary**: $65,000 (Promotion to Senior SDR) \n - **Bonus**: $13,000 (20% o...", + "Type: employees
Text: # HR Record\n\n# Jordan K. Bishop\n\n## Summary\n- **Date of Birth:** March 15, 1990\n- **Job Title:** Fro...", + "Type: employees
Text: ## Annual Performance History\n- **2019:** Exceeds Expectations - Continuously delivered high-quality...", + "Type: employees
Text: ## Compensation History\n- **June 2018:** Starting Salary - $85,000\n- **June 2019:** Salary Increase ...", + "Type: employees
Text: ## Other HR Notes\n- Jordan K. Bishop has been an integral part of club initiatives, including the In...", + "Type: employees
Text: # HR Record\n\n# Emily Carter\n\n## Summary\n- **Date of Birth:** August 12, 1990 \n- **Job Title:** Acco...", + "Type: employees
Text: - **2017-2019:** Marketing Intern \n - Assisted with market research and campaign development for s...", + "Type: employees
Text: ## Compensation History\n| Year | Base Salary | Bonus | Total Compensation |\n|------|--------...", + "Type: employees
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Text: {d[:100]}...\" for t, d in zip(doc_types, documents)],\n", + " hoverinfo='text'\n", + ")])\n", + "\n", + "fig.update_layout(\n", + " title='2D FAISS Vector Store Visualization',\n", + " scene=dict(xaxis_title='x',yaxis_title='y'),\n", + " width=800,\n", + " height=600,\n", + " margin=dict(r=20, b=10, l=10, t=40)\n", + ")\n", + "\n", + "fig.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "e1418e88-acd5-460a-bf2b-4e6efc88e3dd", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "hoverinfo": "text", + "marker": { + "color": [ + "blue", + "blue", + "blue", + "blue", + "blue", + "blue", + "blue", + "blue", + "blue", + "blue", + "blue", + "blue", + "blue", + "blue", + "blue", + "blue", + "blue", + "blue", + "blue", + "blue", + "blue", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "orange", + "orange", + "orange", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green", + "green" + ], + "opacity": 0.8, + "size": 5 + }, + "mode": "markers", + "text": [ + "Type: products
Text: # Product Summary\n\n# Rellm: AI-Powered Enterprise Reinsurance Solution\n\n## Summary\n\nRellm is an inno...", + "Type: products
Text: ### Seamless Integrations\nRellm's architecture is designed for effortless integration with existing ...", + "Type: products
Text: ### Regulatory Compliance Tools\nRellm includes built-in compliance tracking features to help organiz...", + "Type: products
Text: Join the growing number of organizations leveraging Rellm to enhance their reinsurance processes whi...", + "Type: products
Text: Experience the future of reinsurance with Rellm, where innovation meets reliability. Let Insurellm h...", + "Type: products
Text: # Product Summary\n\n# Markellm\n\n## Summary\n\nMarkellm is an innovative two-sided marketplace designed ...", + "Type: products
Text: - **User-Friendly Interface**: Designed with user experience in mind, Markellm features an intuitive...", + "Type: products
Text: - **Customer Support**: Our dedicated support team is always available to assist both consumers and ...", + "Type: products
Text: ### For Insurance Companies:\n- **Basic Listing Fee**: $199/month for a featured listing on the platf...", + "Type: products
Text: ### Q3 2025\n- Initiate a comprehensive marketing campaign targeting both consumers and insurers to i...", + "Type: products
Text: # Product Summary\n\n# Homellm\n\n## Summary\nHomellm is an innovative home insurance product developed b...", + "Type: products
Text: ### 2. Dynamic Pricing Model\nWith Homellm's innovative dynamic pricing model, insurance providers ca...", + "Type: products
Text: ### 5. Multi-Channel Integration\nHomellm seamlessly integrates into existing insurance platforms, pr...", + "Type: products
Text: - **Basic Tier:** Starting at $5,000/month for small insurers with basic integration features.\n- **S...", + "Type: products
Text: All tiers include a comprehensive training program and ongoing updates to ensure optimal performance...", + "Type: products
Text: With Homellm, Insurellm is committed to transforming the landscape of home insurance, ensuring both ...", + "Type: products
Text: # Product Summary\n\n# Carllm\n\n## Summary\n\nCarllm is an innovative auto insurance product developed by...", + "Type: products
Text: - **Instant Quoting**: With Carllm, insurance companies can offer near-instant quotes to customers, ...", + "Type: products
Text: - **Mobile Integration**: Carllm is designed to work seamlessly with mobile applications, providing ...", + "Type: products
Text: - **Professional Tier**: $2,500/month\n - For medium-sized companies.\n - All Basic Tier features pl...", + "Type: products
Text: ### Q2 2025: Customer Experience Improvements\n- Launch of a new **mobile app** for end-users.\n- Intr...", + "Type: contracts
Text: # Contract with GreenField Holdings for Markellm\n\n**Effective Date:** November 15, 2023 \n**Contract...", + "Type: contracts
Text: ## Renewal\n1. **Automatic Renewal**: This contract will automatically renew for sequential one-year ...", + "Type: contracts
Text: ## Features\n1. **AI-Powered Matching**: Access to advanced algorithms that connect GreenField Holdin...", + "Type: contracts
Text: ## Support\n1. **Customer Support Access**: The Client will have access to dedicated support through ...", + "Type: contracts
Text: **Signatures:** \n_________________________ _________________________ \n**...", + "Type: contracts
Text: # Contract with Greenstone Insurance for Homellm\n\n---\n\n## Terms\n\n1. **Parties**: This Contract (\"Agr...", + "Type: contracts
Text: 4. **Payment Terms**: \n - The Customer shall pay an amount of $10,000 per month for the Standard T...", + "Type: contracts
Text: ---\n\n## Features\n\n- **AI-Powered Risk Assessment**: Customer will have access to enhanced risk evalu...", + "Type: contracts
Text: - **Customer Portal**: A dedicated portal will be provided, allowing the Customer's clients to manag...", + "Type: contracts
Text: ______________________________ \n[Name], [Title] \nDate: ______________________\n\n**For Greenstone In...", + "Type: contracts
Text: # Contract with Roadway Insurance Inc. for Carllm\n\n---\n\n## Terms\n\n1. **Agreement Effective Date**: T...", + "Type: contracts
Text: ---\n\n## Renewal\n\n1. **Automatic Renewal**: This agreement will automatically renew for an additional...", + "Type: contracts
Text: ---\n\n## Features\n\n1. **Access to Core Features**: Roadway Insurance Inc. will have access to all Pro...", + "Type: contracts
Text: ---\n\n## Support\n\n1. **Technical Support**: Roadway Insurance Inc. will receive priority technical su...", + "Type: contracts
Text: # Contract with Stellar Insurance Co. for Rellm\n\n## Terms\nThis contract is made between **Insurellm*...", + "Type: contracts
Text: ### Termination\nEither party may terminate this agreement with a **30-day written notice**. In the e...", + "Type: contracts
Text: ## Features\nStellar Insurance Co. will receive access to the following features of the Rellm product...", + "Type: contracts
Text: ## Support\nInsurellm provides Stellar Insurance Co. with the following support services:\n\n- **24/7 T...", + "Type: contracts
Text: # Contract with TechDrive Insurance for Carllm\n\n**Contract Date:** October 1, 2024 \n**Contract Dura...", + "Type: contracts
Text: ## Renewal\n\n1. **Automatic Renewal**: This contract shall automatically renew for additional one-yea...", + "Type: contracts
Text: ## Support\n\n1. **Customer Support**: Insurellm will provide 24/7 customer support to TechDrive Insur...", + "Type: contracts
Text: **TechDrive Insurance Representative:** \nName: Sarah Johnson \nTitle: Operations Director \nDate: _...", + "Type: contracts
Text: # Contract with EverGuard Insurance for Rellm: AI-Powered Enterprise Reinsurance Solution\n\n**Contrac...", + "Type: contracts
Text: 4. **Usage Rights**: EverGuard Insurance is granted a non-exclusive, non-transferable license to acc...", + "Type: contracts
Text: 1. **Core Functionality**: Rellm provides EverGuard Insurance with advanced AI-driven analytics, sea...", + "Type: contracts
Text: 1. **Customer Support**: Insurellm will provide EverGuard Insurance with 24/7 customer support, incl...", + "Type: contracts
Text: ---\n\n**Signatures** \n**For Insurellm**: __________________________ \n**Name**: John Smith \n**Title...", + "Type: contracts
Text: # Contract with Belvedere Insurance for Markellm\n\n## Terms\nThis Contract (\"Agreement\") is made and e...", + "Type: contracts
Text: ## Renewal\n1. **Renewal Terms**: This Agreement may be renewed for additional one-year terms upon mu...", + "Type: contracts
Text: ## Features\n1. **AI-Powered Matching**: Belvedere Insurance will benefit from Markellm's AI-powered ...", + "Type: contracts
Text: ## Support\n1. **Technical Support**: Technical support will be available from 9 AM to 7 PM EST, Mond...", + "Type: contracts
Text: **Belvedere Insurance** \nSignature: ______________________ \nName: [Authorized Signatory] \nTitle: ...", + "Type: contracts
Text: # Contract with Apex Reinsurance for Rellm: AI-Powered Enterprise Reinsurance Solution\n\n## Terms\n\n1....", + "Type: contracts
Text: ## Renewal\n\n1. **Automatic Renewal**: This Agreement will automatically renew for successive one-yea...", + "Type: contracts
Text: 2. **Seamless Integrations**: The architecture of Rellm allows for easy integration with existing sy...", + "Type: contracts
Text: 1. **Technical Support**: Provider shall offer dedicated technical support to the Client via phone, ...", + "Type: contracts
Text: **Insurellm, Inc.** \n_____________________________ \nAuthorized Signature \nDate: ________________...", + "Type: contracts
Text: # Contract with Velocity Auto Solutions for Carllm\n\n**Contract Date:** October 1, 2023 \n**Contract ...", + "Type: contracts
Text: ## Renewal\n\n1. **Automatic Renewal**: This contract will automatically renew for successive 12-month...", + "Type: contracts
Text: ## Support\n\n1. **Customer Support**: Velocity Auto Solutions will have access to Insurellm’s custome...", + "Type: contracts
Text: # Contract with GreenValley Insurance for Homellm\n\n**Contract Date:** October 6, 2023 \n**Contract N...", + "Type: contracts
Text: 4. **Confidentiality:** Both parties agree to maintain the confidentiality of proprietary informatio...", + "Type: contracts
Text: 1. **AI-Powered Risk Assessment:** Access to advanced AI algorithms for real-time risk evaluations.\n...", + "Type: contracts
Text: 3. **Regular Updates:** Insurellm will offer ongoing updates and enhancements to the Homellm platfor...", + "Type: contracts
Text: # Contract with BrightWay Solutions for Markellm\n\n**Contract Date:** October 5, 2023 \n**Contract ID...", + "Type: contracts
Text: 3. **Service Level Agreement (SLA):** \n Insurellm commits to a 99.9% uptime for the platform with...", + "Type: contracts
Text: 2. **Real-Time Quote Availability:** \n Consumers sourced via BrightWay Solutions will receive rea...", + "Type: contracts
Text: 3. **Training and Onboarding:** \n Insurellm agrees to provide one free training session on how to...", + "Type: contracts
Text: # Contract with Pinnacle Insurance Co. for Homellm\n\n## Terms\nThis contract (\"Contract\") is entered i...", + "Type: contracts
Text: ## Renewal\n1. **Renewal Terms**: At the end of the initial term, this Contract shall automatically r...", + "Type: contracts
Text: ## Features\n1. **AI-Powered Risk Assessment**: Utilized for tailored underwriting decisions specific...", + "Type: contracts
Text: ## Support\n1. **Technical Support**: Insurellm shall provide 24/7 technical support via an email and...", + "Type: company
Text: # Overview of Insurellm\n\nInsurellm is an innovative insurance tech firm with 200 employees across th...", + "Type: company
Text: # Careers at Insurellm\n\nInsurellm is hiring! We are looking for talented software engineers, data sc...", + "Type: company
Text: # About Insurellm\n\nInsurellm was founded by Avery Lancaster in 2015 as an insurance tech startup des...", + "Type: employees
Text: # HR Record\n\n# Alex Chen\n\n## Summary\n- **Date of Birth:** March 15, 1990 \n- **Job Title:** Backend ...", + "Type: employees
Text: ## Annual Performance History\n- **2020:** \n - Completed onboarding successfully. \n - Met expecta...", + "Type: employees
Text: ## Compensation History\n- **2020:** Base Salary: $80,000 \n- **2021:** Base Salary Increase to $90,0...", + "Type: employees
Text: Alex Chen continues to be a vital asset at Insurellm, contributing significantly to innovative backe...", + "Type: employees
Text: # HR Record\n\n# Oliver Spencer\n\n## Summary\n- **Date of Birth**: May 14, 1990 \n- **Job Title**: Backe...", + "Type: employees
Text: ## Annual Performance History\n- **2018**: **3/5** - Adaptable team player but still learning to take...", + "Type: employees
Text: ## Compensation History\n- **March 2018**: Initial salary of $80,000.\n- **July 2019**: Salary increas...", + "Type: employees
Text: # HR Record\n\n# Emily Tran\n\n## Summary\n- **Date of Birth:** March 18, 1991 \n- **Job Title:** Digital...", + "Type: employees
Text: - **January 2017 - May 2018**: Marketing Intern \n - Supported the Marketing team by collaborating ...", + "Type: employees
Text: - **2021**: \n - Performance Rating: Meets Expectations \n - Key Achievements: Contributed to the ...", + "Type: employees
Text: - **Professional Development Goals**: \n - Emily Tran aims to become a Marketing Manager within the...", + "Type: employees
Text: # HR Record\n\n# Jordan Blake\n\n## Summary\n- **Date of Birth:** March 15, 1993 \n- **Job Title:** Sales...", + "Type: employees
Text: ## Annual Performance History\n- **2021:** First year at Insurellm; achieved 90% of monthly targets. ...", + "Type: employees
Text: ## Other HR Notes\n- Jordan has shown an interest in continuing education, actively participating in ...", + "Type: employees
Text: # Avery Lancaster\n\n## Summary\n- **Date of Birth**: March 15, 1985 \n- **Job Title**: Co-Founder & Ch...", + "Type: employees
Text: - **2010 - 2013**: Business Analyst at Edge Analytics \n Prior to joining Innovate, Avery worked as...", + "Type: employees
Text: - **2018**: **Exceeds Expectations** \n Under Avery’s pivoted vision, Insurellm launched two new su...", + "Type: employees
Text: - **2022**: **Satisfactory** \n Avery focused on rebuilding team dynamics and addressing employee c...", + "Type: employees
Text: ## Compensation History\n- **2015**: $150,000 base salary + Significant equity stake \n- **2016**: $1...", + "Type: employees
Text: ## Other HR Notes\n- **Professional Development**: Avery has actively participated in leadership trai...", + "Type: employees
Text: # HR Record\n\n# Maxine Thompson\n\n## Summary\n- **Date of Birth:** January 15, 1991 \n- **Job Title:** ...", + "Type: employees
Text: ## Insurellm Career Progression\n- **January 2017 - October 2018**: **Junior Data Engineer** \n * Ma...", + "Type: employees
Text: ## Annual Performance History\n- **2017**: *Meets Expectations* \n Maxine showed potential in her ro...", + "Type: employees
Text: - **2021**: *Exceeds Expectations* \n Maxine spearheaded the transition to a new data warehousing s...", + "Type: employees
Text: ## Compensation History\n- **2017**: $70,000 (Junior Data Engineer) \n- **2018**: $75,000 (Junior Dat...", + "Type: employees
Text: # Samantha Greene\n\n## Summary\n- **Date of Birth:** October 14, 1990\n- **Job Title:** HR Generalist\n-...", + "Type: employees
Text: ## Annual Performance History\n- **2020:** Exceeds Expectations \n Samantha Greene demonstrated exce...", + "Type: employees
Text: ## Compensation History\n- **2020:** Base Salary - $55,000 \n The entry-level salary matched industr...", + "Type: employees
Text: - **2023:** Base Salary - $70,000 \n Recognized for substantial improvement in employee relations m...", + "Type: employees
Text: # HR Record\n\n# Alex Thomson\n\n## Summary\n- **Date of Birth:** March 15, 1995 \n- **Job Title:** Sales...", + "Type: employees
Text: ## Annual Performance History \n- **2022** - Rated as \"Exceeds Expectations.\" Alex Thomson achieved ...", + "Type: employees
Text: ## Other HR Notes\n- Alex Thomson is an active member of the Diversity and Inclusion committee at Ins...", + "Type: employees
Text: # HR Record\n\n# Samuel Trenton\n\n## Summary\n- **Date of Birth:** April 12, 1989 \n- **Job Title:** Sen...", + "Type: employees
Text: ## Annual Performance History\n- **2023:** Rating: 4.5/5 \n *Samuel exceeded expectations, successfu...", + "Type: employees
Text: ## Compensation History\n- **2023:** Base Salary: $115,000 + Bonus: $15,000 \n *Annual bonus based o...", + "Type: employees
Text: - **Engagement in Company Culture:** Regularly participates in team-building events and contributes ...", + "Type: employees
Text: # HR Record\n\n# Alex Harper\n\n## Summary\n- **Date of Birth**: March 15, 1993 \n- **Job Title**: Sales ...", + "Type: employees
Text: ## Annual Performance History \n- **2021**: \n - **Performance Rating**: 4.5/5 \n - **Key Achievem...", + "Type: employees
Text: - **2022**: \n - **Base Salary**: $65,000 (Promotion to Senior SDR) \n - **Bonus**: $13,000 (20% o...", + "Type: employees
Text: # HR Record\n\n# Jordan K. Bishop\n\n## Summary\n- **Date of Birth:** March 15, 1990\n- **Job Title:** Fro...", + "Type: employees
Text: ## Annual Performance History\n- **2019:** Exceeds Expectations - Continuously delivered high-quality...", + "Type: employees
Text: ## Compensation History\n- **June 2018:** Starting Salary - $85,000\n- **June 2019:** Salary Increase ...", + "Type: employees
Text: ## Other HR Notes\n- Jordan K. Bishop has been an integral part of club initiatives, including the In...", + "Type: employees
Text: # HR Record\n\n# Emily Carter\n\n## Summary\n- **Date of Birth:** August 12, 1990 \n- **Job Title:** Acco...", + "Type: employees
Text: - **2017-2019:** Marketing Intern \n - Assisted with market research and campaign development for s...", + "Type: employees
Text: ## Compensation History\n| Year | Base Salary | Bonus | Total Compensation |\n|------|--------...", + "Type: employees
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+ "text/html": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Let's try 3D!\n", + "\n", + "tsne = TSNE(n_components=3, random_state=42)\n", + "reduced_vectors = tsne.fit_transform(vectors)\n", + "\n", + "# Create the 3D scatter plot\n", + "fig = go.Figure(data=[go.Scatter3d(\n", + " x=reduced_vectors[:, 0],\n", + " y=reduced_vectors[:, 1],\n", + " z=reduced_vectors[:, 2],\n", + " mode='markers',\n", + " marker=dict(size=5, color=colors, opacity=0.8),\n", + " text=[f\"Type: {t}
Text: {d[:100]}...\" for t, d in zip(doc_types, documents)],\n", + " hoverinfo='text'\n", + ")])\n", + "\n", + "fig.update_layout(\n", + " title='3D FAISS Vector Store Visualization',\n", + " scene=dict(xaxis_title='x', yaxis_title='y', zaxis_title='z'),\n", + " width=900,\n", + " height=700,\n", + " margin=dict(r=20, b=10, l=10, t=40)\n", + ")\n", + "\n", + "fig.show()" + ] + }, + { + "cell_type": "markdown", + "id": "9468860b-86a2-41df-af01-b2400cc985be", + "metadata": {}, + "source": [ + "## Time to use LangChain to bring it all together" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "129c7d1e-0094-4479-9459-f9360b95f244", + "metadata": {}, + "outputs": [], + "source": [ + "# create a new Chat with OpenAI\n", + "llm = ChatOpenAI(temperature=0.7, model_name=MODEL)\n", + "\n", + "# set up the conversation memory for the chat\n", + "memory = ConversationBufferMemory(memory_key='chat_history', return_messages=True)\n", + "\n", + "# the retriever is an abstraction over the VectorStore that will be used during RAG\n", + "retriever = vectorstore.as_retriever()\n", + "\n", + "# putting it together: set up the conversation chain with the GPT 3.5 LLM, the vector store and memory\n", + "conversation_chain = ConversationalRetrievalChain.from_llm(llm=llm, retriever=retriever, memory=memory)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "968e7bf2-e862-4679-a11f-6c1efb6ec8ca", + "metadata": {}, + "outputs": [], + "source": [ + "query = \"Can you describe Insurellm in a few sentences\"\n", + "result = conversation_chain.invoke({\"question\":query})\n", + "print(result[\"answer\"])" + ] + }, + { + "cell_type": "markdown", + "id": "bbbcb659-13ce-47ab-8a5e-01b930494964", + "metadata": {}, + "source": [ + "## Now we will bring this up in Gradio using the Chat interface -\n", + "\n", + "A quick and easy way to prototype a chat with an LLM" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "c3536590-85c7-4155-bd87-ae78a1467670", + "metadata": {}, + "outputs": [], + "source": [ + "# Wrapping that in a function\n", + "\n", + "def chat(message, history):\n", + " result = conversation_chain.invoke({\"question\": message})\n", + " return result[\"answer\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "b252d8c1-61a8-406d-b57a-8f708a62b014", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Running on local URL: http://127.0.0.1:7861\n", + "\n", + "To create a public link, set `share=True` in `launch()`.\n" + ] + }, + { + "data": { + "text/html": [ + "
" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# And in Gradio:\n", + "\n", + "view = gr.ChatInterface(chat).launch()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5435b2b9-935c-48cd-aaf3-73a837ecde49", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/week5/day4.ipynb b/week5/day4.ipynb new file mode 100644 index 0000000..97feedc --- /dev/null +++ b/week5/day4.ipynb @@ -0,0 +1,3432 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "dfe37963-1af6-44fc-a841-8e462443f5e6", + "metadata": {}, + "source": [ + "## Expert Knowledge Worker\n", + "\n", + "### A question answering agent that is an expert knowledge worker\n", + "### To be used by employees of Insurellm, an Insurance Tech company\n", + "### The agent needs to be accurate and the solution should be low cost.\n", + "\n", + "This project will use RAG (Retrieval Augmented Generation) to ensure our question/answering assistant has high accuracy." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "ba2779af-84ef-4227-9e9e-6eaf0df87e77", + "metadata": {}, + "outputs": [], + "source": [ + "# imports\n", + "\n", + "import os\n", + "import glob\n", + "from dotenv import load_dotenv\n", + "import gradio as gr" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "802137aa-8a74-45e0-a487-d1974927d7ca", + "metadata": {}, + "outputs": [], + "source": [ + "# imports for langchain\n", + "\n", + "from langchain.document_loaders import DirectoryLoader, TextLoader\n", + "from langchain.text_splitter import CharacterTextSplitter\n", + "from langchain.schema import Document\n", + "from langchain_openai import OpenAIEmbeddings, ChatOpenAI\n", + "from langchain_chroma import Chroma\n", + "import numpy as np\n", + "from sklearn.manifold import TSNE\n", + "import plotly.graph_objects as go\n", + "from langchain.memory import ConversationBufferMemory\n", + "from langchain.chains import ConversationalRetrievalChain" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "58c85082-e417-4708-9efe-81a5d55d1424", + "metadata": {}, + "outputs": [], + "source": [ + "# price is a factor for our company, so we're going to use a low cost model\n", + "\n", + "MODEL = \"gpt-4o-mini\"\n", + "db_name = \"vector_db\"" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "ee78efcb-60fe-449e-a944-40bab26261af", + "metadata": {}, + "outputs": [], + "source": [ + "# Load environment variables in a file called .env\n", + "\n", + "load_dotenv()\n", + "os.environ['OPENAI_API_KEY'] = os.getenv('OPENAI_API_KEY', 'your-key-if-not-using-env')" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "730711a9-6ffe-4eee-8f48-d6cfb7314905", + "metadata": {}, + "outputs": [], + "source": [ + "# Read in documents using LangChain's loaders\n", + "# Take everything in all the sub-folders of our knowledgebase\n", + "\n", + "folders = glob.glob(\"knowledge-base/*\")\n", + "\n", + "documents = []\n", + "for folder in folders:\n", + " doc_type = os.path.basename(folder)\n", + " loader = DirectoryLoader(folder, glob=\"**/*.md\", loader_cls=TextLoader)\n", + " folder_docs = loader.load()\n", + " for doc in folder_docs:\n", + " doc.metadata[\"doc_type\"] = doc_type\n", + " documents.append(doc)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "7310c9c8-03c1-4efc-a104-5e89aec6db1a", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Created a chunk of size 1088, which is longer than the specified 1000\n" + ] + } + ], + "source": [ + "text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=200)\n", + "chunks = text_splitter.split_documents(documents)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "cd06e02f-6d9b-44cc-a43d-e1faa8acc7bb", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "123" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(chunks)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "2c54b4b6-06da-463d-bee7-4dd456c2b887", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Document types found: employees, products, company, contracts\n" + ] + } + ], + "source": [ + "doc_types = set(chunk.metadata['doc_type'] for chunk in chunks)\n", + "print(f\"Document types found: {', '.join(doc_types)}\")" + ] + }, + { + "cell_type": "markdown", + "id": "77f7d2a6-ccfa-425b-a1c3-5e55b23bd013", + "metadata": {}, + "source": [ + "## A sidenote on Embeddings, and \"Auto-Encoding LLMs\"\n", + "\n", + "We will be mapping each chunk of text into a Vector that represents the meaning of the text, known as an embedding.\n", + "\n", + "OpenAI offers a model to do this, which we will use by calling their API with some LangChain code.\n", + "\n", + "This model is an example of an \"Auto-Encoding LLM\" which generates an output given a complete input.\n", + "It's different to all the other LLMs we've discussed today, which are known as \"Auto-Regressive LLMs\", and generate future tokens based only on past context.\n", + "\n", + "Another example of an Auto-Encoding LLMs is BERT from Google. In addition to embedding, Auto-encoding LLMs are often used for classification.\n", + "\n", + "More details in the resources." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "78998399-ac17-4e28-b15f-0b5f51e6ee23", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Vectorstore created with 123 documents\n" + ] + } + ], + "source": [ + "# Put the chunks of data into a Vector Store that associates a Vector Embedding with each chunk\n", + "# Chroma is a popular open source Vector Database based on SQLLite\n", + "\n", + "embeddings = OpenAIEmbeddings()\n", + "\n", + "# Delete if already exists\n", + "\n", + "if os.path.exists(db_name):\n", + " Chroma(persist_directory=db_name, embedding_function=embeddings).delete_collection()\n", + "\n", + "# Create vectorstore\n", + "\n", + "vectorstore = Chroma.from_documents(documents=chunks, embedding=embeddings, persist_directory=db_name)\n", + "print(f\"Vectorstore created with {vectorstore._collection.count()} documents\")" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "057868f6-51a6-4087-94d1-380145821550", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The vectors have 1,536 dimensions\n" + ] + } + ], + "source": [ + "# Get one vector and find how many dimensions it has\n", + "\n", + "collection = vectorstore._collection\n", + "sample_embedding = collection.get(limit=1, include=[\"embeddings\"])[\"embeddings\"][0]\n", + "dimensions = len(sample_embedding)\n", + "print(f\"The vectors have {dimensions:,} dimensions\")" + ] + }, + { + "cell_type": "markdown", + "id": "b0d45462-a818-441c-b010-b85b32bcf618", + "metadata": {}, + "source": [ + "## Visualizing the Vector Store\n", + "\n", + "Let's take a minute to look at the documents and their embedding vectors to see what's going on." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "b98adf5e-d464-4bd2-9bdf-bc5b6770263b", + "metadata": {}, + "outputs": [], + "source": [ + "# Prework\n", + "\n", + "result = collection.get(include=['embeddings', 'documents', 'metadatas'])\n", + "vectors = np.array(result['embeddings'])\n", + "documents = result['documents']\n", + "doc_types = [metadata['doc_type'] for metadata in result['metadatas']]\n", + "colors = [['blue', 'green', 'red', 'orange'][['products', 'employees', 'contracts', 'company'].index(t)] for t in doc_types]" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "427149d5-e5d8-4abd-bb6f-7ef0333cca21", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + " \n", + " " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "hoverinfo": "text", + "marker": { + "color": [ + "red", + "red", + "red", + "red", + "green", + "red", + "green", + "blue", + "green", + "red", + "green", + "green", + "red", + "red", + "green", + "red", + "green", + "blue", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "blue", + "red", + "red", + "orange", + "green", + "blue", + "red", + "green", + "red", + "green", + "green", + "red", + "blue", + "blue", + "green", + "blue", + "red", + "red", + "green", + "red", + "red", + "red", + "green", + "red", + "green", + "red", + "green", + "blue", + "red", + "green", + "green", + "red", + "blue", + "green", + "red", + "green", + "red", + "green", + "red", + "green", + "blue", + "green", + "red", + "blue", + "green", + "blue", + "green", + "red", + "green", + "green", + "blue", + "red", + "green", + "green", + "blue", + "green", + "red", + "red", + "orange", + "red", + "green", + "red", + "red", + "red", + "green", + "red", + "green", + "green", + "red", + "green", + "blue", + "green", + "red", + "green", + "blue", + "red", + "green", + "green", + "green", + "blue", + "green", + "red", + "blue", + "blue", + "red", + "blue", + "green", + "orange", + "red", + "blue", + "green", + "red", + "green", + "red", + "red", + "green", + "green", + "green" + ], + "opacity": 0.8, + "size": 5 + }, + "mode": "markers", + "text": [ + "Type: contracts
Text: # Contract with Velocity Auto Solutions for Carllm\n\n**Contract Date:** October 1, 2023 \n**Contract ...", + "Type: contracts
Text: ---\n\n## Renewal\n\n1. **Automatic Renewal**: This agreement will automatically renew for an additional...", + "Type: contracts
Text: 3. **Regular Updates:** Insurellm will offer ongoing updates and enhancements to the Homellm platfor...", + "Type: contracts
Text: ## Renewal\n1. **Renewal Terms**: At the end of the initial term, this Contract shall automatically r...", + "Type: employees
Text: # HR Record\n\n# Maxine Thompson\n\n## Summary\n- **Date of Birth:** January 15, 1991 \n- **Job Title:** ...", + "Type: contracts
Text: # Contract with GreenField Holdings for Markellm\n\n**Effective Date:** November 15, 2023 \n**Contract...", + "Type: employees
Text: ## Annual Performance History\n- **2019:** Exceeds Expectations - Continuously delivered high-quality...", + "Type: products
Text: - **Professional Tier**: $2,500/month\n - For medium-sized companies.\n - All Basic Tier features pl...", + "Type: employees
Text: - **2021**: \n - Performance Rating: Meets Expectations \n - Key Achievements: Contributed to the ...", + "Type: contracts
Text: **Belvedere Insurance** \nSignature: ______________________ \nName: [Authorized Signatory] \nTitle: ...", + "Type: employees
Text: ## Compensation History\n- **2020:** Base Salary - $55,000 \n The entry-level salary matched industr...", + "Type: employees
Text: ## Annual Performance History\n- **2017**: *Meets Expectations* \n Maxine showed potential in her ro...", + "Type: contracts
Text: ## Support\nInsurellm provides Stellar Insurance Co. with the following support services:\n\n- **24/7 T...", + "Type: contracts
Text: ---\n\n## Features\n\n- **AI-Powered Risk Assessment**: Customer will have access to enhanced risk evalu...", + "Type: employees
Text: - **2022**: \n - **Base Salary**: $65,000 (Promotion to Senior SDR) \n - **Bonus**: $13,000 (20% o...", + "Type: contracts
Text: ## Renewal\n1. **Automatic Renewal**: This contract will automatically renew for sequential one-year ...", + "Type: employees
Text: - **2017-2019:** Marketing Intern \n - Assisted with market research and campaign development for s...", + "Type: products
Text: ### 5. Multi-Channel Integration\nHomellm seamlessly integrates into existing insurance platforms, pr...", + "Type: contracts
Text: 4. **Confidentiality:** Both parties agree to maintain the confidentiality of proprietary informatio...", + "Type: contracts
Text: 2. **Seamless Integrations**: The architecture of Rellm allows for easy integration with existing sy...", + "Type: contracts
Text: ## Renewal\n\n1. **Automatic Renewal**: This contract will automatically renew for successive 12-month...", + "Type: contracts
Text: # Contract with Belvedere Insurance for Markellm\n\n## Terms\nThis Contract (\"Agreement\") is made and e...", + "Type: contracts
Text: 1. **Technical Support**: Provider shall offer dedicated technical support to the Client via phone, ...", + "Type: contracts
Text: ______________________________ \n[Name], [Title] \nDate: ______________________\n\n**For Greenstone In...", + "Type: contracts
Text: 4. **Payment Terms**: \n - The Customer shall pay an amount of $10,000 per month for the Standard T...", + "Type: products
Text: - **User-Friendly Interface**: Designed with user experience in mind, Markellm features an intuitive...", + "Type: contracts
Text: - **Customer Portal**: A dedicated portal will be provided, allowing the Customer's clients to manag...", + "Type: contracts
Text: # Contract with Stellar Insurance Co. for Rellm\n\n## Terms\nThis contract is made between **Insurellm*...", + "Type: company
Text: # Careers at Insurellm\n\nInsurellm is hiring! We are looking for talented software engineers, data sc...", + "Type: employees
Text: # HR Record\n\n# Jordan K. Bishop\n\n## Summary\n- **Date of Birth:** March 15, 1990\n- **Job Title:** Fro...", + "Type: products
Text: ### Q3 2025\n- Initiate a comprehensive marketing campaign targeting both consumers and insurers to i...", + "Type: contracts
Text: ## Renewal\n1. **Renewal Terms**: This Agreement may be renewed for additional one-year terms upon mu...", + "Type: employees
Text: - **2010 - 2013**: Business Analyst at Edge Analytics \n Prior to joining Innovate, Avery worked as...", + "Type: contracts
Text: 4. **Usage Rights**: EverGuard Insurance is granted a non-exclusive, non-transferable license to acc...", + "Type: employees
Text: # HR Record\n\n# Oliver Spencer\n\n## Summary\n- **Date of Birth**: May 14, 1990 \n- **Job Title**: Backe...", + "Type: employees
Text: ## Other HR Notes\n- Jordan K. Bishop has been an integral part of club initiatives, including the In...", + "Type: contracts
Text: ## Features\n1. **AI-Powered Matching**: Belvedere Insurance will benefit from Markellm's AI-powered ...", + "Type: products
Text: ### For Insurance Companies:\n- **Basic Listing Fee**: $199/month for a featured listing on the platf...", + "Type: products
Text: # Product Summary\n\n# Markellm\n\n## Summary\n\nMarkellm is an innovative two-sided marketplace designed ...", + "Type: employees
Text: ## Annual Performance History\n- **2021:** First year at Insurellm; achieved 90% of monthly targets. ...", + "Type: products
Text: All tiers include a comprehensive training program and ongoing updates to ensure optimal performance...", + "Type: contracts
Text: # Contract with Roadway Insurance Inc. for Carllm\n\n---\n\n## Terms\n\n1. **Agreement Effective Date**: T...", + "Type: contracts
Text: ## Features\n1. **AI-Powered Risk Assessment**: Utilized for tailored underwriting decisions specific...", + "Type: employees
Text: ## Annual Performance History\n- **2018**: **3/5** - Adaptable team player but still learning to take...", + "Type: contracts
Text: # Contract with Greenstone Insurance for Homellm\n\n---\n\n## Terms\n\n1. **Parties**: This Contract (\"Agr...", + "Type: contracts
Text: ## Support\n\n1. **Customer Support**: Velocity Auto Solutions will have access to Insurellm’s custome...", + "Type: contracts
Text: ## Renewal\n\n1. **Automatic Renewal**: This contract shall automatically renew for additional one-yea...", + "Type: employees
Text: ## Other HR Notes\n- Jordan has shown an interest in continuing education, actively participating in ...", + "Type: contracts
Text: 1. **Customer Support**: Insurellm will provide EverGuard Insurance with 24/7 customer support, incl...", + "Type: employees
Text: - **Engagement in Company Culture:** Regularly participates in team-building events and contributes ...", + "Type: contracts
Text: ## Features\n1. **AI-Powered Matching**: Access to advanced algorithms that connect GreenField Holdin...", + "Type: employees
Text: # HR Record\n\n# Emily Carter\n\n## Summary\n- **Date of Birth:** August 12, 1990 \n- **Job Title:** Acco...", + "Type: products
Text: - **Mobile Integration**: Carllm is designed to work seamlessly with mobile applications, providing ...", + "Type: contracts
Text: # Contract with Pinnacle Insurance Co. for Homellm\n\n## Terms\nThis contract (\"Contract\") is entered i...", + "Type: employees
Text: - **January 2017 - May 2018**: Marketing Intern \n - Supported the Marketing team by collaborating ...", + "Type: employees
Text: ## Compensation History\n- **2015**: $150,000 base salary + Significant equity stake \n- **2016**: $1...", + "Type: contracts
Text: # Contract with GreenValley Insurance for Homellm\n\n**Contract Date:** October 6, 2023 \n**Contract N...", + "Type: products
Text: - **Customer Support**: Our dedicated support team is always available to assist both consumers and ...", + "Type: employees
Text: # HR Record\n\n# Samuel Trenton\n\n## Summary\n- **Date of Birth:** April 12, 1989 \n- **Job Title:** Sen...", + "Type: contracts
Text: # Contract with BrightWay Solutions for Markellm\n\n**Contract Date:** October 5, 2023 \n**Contract ID...", + "Type: employees
Text: ## Annual Performance History \n- **2022** - Rated as \"Exceeds Expectations.\" Alex Thomson achieved ...", + "Type: contracts
Text: 3. **Service Level Agreement (SLA):** \n Insurellm commits to a 99.9% uptime for the platform with...", + "Type: employees
Text: # HR Record\n\n# Jordan Blake\n\n## Summary\n- **Date of Birth:** March 15, 1993 \n- **Job Title:** Sales...", + "Type: contracts
Text: ## Features\nStellar Insurance Co. will receive access to the following features of the Rellm product...", + "Type: employees
Text: ## Compensation History\n| Year | Base Salary | Bonus | Total Compensation |\n|------|--------...", + "Type: products
Text: # Product Summary\n\n# Homellm\n\n## Summary\nHomellm is an innovative home insurance product developed b...", + "Type: employees
Text: ## Compensation History\n- **2023:** Base Salary: $115,000 + Bonus: $15,000 \n *Annual bonus based o...", + "Type: contracts
Text: 3. **Training and Onboarding:** \n Insurellm agrees to provide one free training session on how to...", + "Type: products
Text: With Homellm, Insurellm is committed to transforming the landscape of home insurance, ensuring both ...", + "Type: employees
Text: ## Compensation History\n- **March 2018**: Initial salary of $80,000.\n- **July 2019**: Salary increas...", + "Type: products
Text: ### Q2 2025: Customer Experience Improvements\n- Launch of a new **mobile app** for end-users.\n- Intr...", + "Type: employees
Text: ## Insurellm Career Progression\n- **January 2017 - October 2018**: **Junior Data Engineer** \n * Ma...", + "Type: contracts
Text: **Insurellm, Inc.** \n_____________________________ \nAuthorized Signature \nDate: ________________...", + "Type: employees
Text: ## Other HR Notes\n- Alex Thomson is an active member of the Diversity and Inclusion committee at Ins...", + "Type: employees
Text: # HR Record\n\n# Alex Harper\n\n## Summary\n- **Date of Birth**: March 15, 1993 \n- **Job Title**: Sales ...", + "Type: products
Text: ### Regulatory Compliance Tools\nRellm includes built-in compliance tracking features to help organiz...", + "Type: contracts
Text: ---\n\n## Support\n\n1. **Technical Support**: Roadway Insurance Inc. will receive priority technical su...", + "Type: employees
Text: ## Annual Performance History \n- **2021**: \n - **Performance Rating**: 4.5/5 \n - **Key Achievem...", + "Type: employees
Text: ## Annual Performance History\n- **2023:** Rating: 4.5/5 \n *Samuel exceeded expectations, successfu...", + "Type: products
Text: ### 2. Dynamic Pricing Model\nWith Homellm's innovative dynamic pricing model, insurance providers ca...", + "Type: employees
Text: Alex Chen continues to be a vital asset at Insurellm, contributing significantly to innovative backe...", + "Type: contracts
Text: ## Support\n\n1. **Customer Support**: Insurellm will provide 24/7 customer support to TechDrive Insur...", + "Type: contracts
Text: ## Support\n1. **Customer Support Access**: The Client will have access to dedicated support through ...", + "Type: company
Text: # Overview of Insurellm\n\nInsurellm is an innovative insurance tech firm with 200 employees across th...", + "Type: contracts
Text: ---\n\n**Signatures** \n**For Insurellm**: __________________________ \n**Name**: John Smith \n**Title...", + "Type: employees
Text: # HR Record\n\n# Alex Thomson\n\n## Summary\n- **Date of Birth:** March 15, 1995 \n- **Job Title:** Sales...", + "Type: contracts
Text: ## Support\n1. **Technical Support**: Insurellm shall provide 24/7 technical support via an email and...", + "Type: contracts
Text: **Signatures:** \n_________________________ _________________________ \n**...", + "Type: contracts
Text: ---\n\n## Features\n\n1. **Access to Core Features**: Roadway Insurance Inc. will have access to all Pro...", + "Type: employees
Text: ## Other HR Notes\n- **Professional Development**: Avery has actively participated in leadership trai...", + "Type: contracts
Text: # Contract with Apex Reinsurance for Rellm: AI-Powered Enterprise Reinsurance Solution\n\n## Terms\n\n1....", + "Type: employees
Text: ## Compensation History\n- **2017**: $70,000 (Junior Data Engineer) \n- **2018**: $75,000 (Junior Dat...", + "Type: employees
Text: ## Compensation History\n- **June 2018:** Starting Salary - $85,000\n- **June 2019:** Salary Increase ...", + "Type: contracts
Text: 2. **Real-Time Quote Availability:** \n Consumers sourced via BrightWay Solutions will receive rea...", + "Type: employees
Text: - **2023:** Base Salary - $70,000 \n Recognized for substantial improvement in employee relations m...", + "Type: products
Text: - **Basic Tier:** Starting at $5,000/month for small insurers with basic integration features.\n- **S...", + "Type: employees
Text: Emily Carter exemplifies the kind of talent that drives Insurellm's success and is an invaluable ass...", + "Type: contracts
Text: ### Termination\nEither party may terminate this agreement with a **30-day written notice**. In the e...", + "Type: employees
Text: ## Annual Performance History\n- **2020:** \n - Completed onboarding successfully. \n - Met expecta...", + "Type: products
Text: # Product Summary\n\n# Carllm\n\n## Summary\n\nCarllm is an innovative auto insurance product developed by...", + "Type: contracts
Text: ## Support\n1. **Technical Support**: Technical support will be available from 9 AM to 7 PM EST, Mond...", + "Type: employees
Text: ## Annual Performance History\n- **2020:** Exceeds Expectations \n Samantha Greene demonstrated exce...", + "Type: employees
Text: - **2018**: **Exceeds Expectations** \n Under Avery’s pivoted vision, Insurellm launched two new su...", + "Type: employees
Text: # HR Record\n\n# Alex Chen\n\n## Summary\n- **Date of Birth:** March 15, 1990 \n- **Job Title:** Backend ...", + "Type: products
Text: # Product Summary\n\n# Rellm: AI-Powered Enterprise Reinsurance Solution\n\n## Summary\n\nRellm is an inno...", + "Type: employees
Text: # HR Record\n\n# Emily Tran\n\n## Summary\n- **Date of Birth:** March 18, 1991 \n- **Job Title:** Digital...", + "Type: contracts
Text: 1. **Core Functionality**: Rellm provides EverGuard Insurance with advanced AI-driven analytics, sea...", + "Type: products
Text: Experience the future of reinsurance with Rellm, where innovation meets reliability. Let Insurellm h...", + "Type: products
Text: ### Seamless Integrations\nRellm's architecture is designed for effortless integration with existing ...", + "Type: contracts
Text: 1. **AI-Powered Risk Assessment:** Access to advanced AI algorithms for real-time risk evaluations.\n...", + "Type: products
Text: - **Instant Quoting**: With Carllm, insurance companies can offer near-instant quotes to customers, ...", + "Type: employees
Text: - **Professional Development Goals**: \n - Emily Tran aims to become a Marketing Manager within the...", + "Type: company
Text: # About Insurellm\n\nInsurellm was founded by Avery Lancaster in 2015 as an insurance tech startup des...", + "Type: contracts
Text: # Contract with EverGuard Insurance for Rellm: AI-Powered Enterprise Reinsurance Solution\n\n**Contrac...", + "Type: products
Text: Join the growing number of organizations leveraging Rellm to enhance their reinsurance processes whi...", + "Type: employees
Text: ## Compensation History\n- **2020:** Base Salary: $80,000 \n- **2021:** Base Salary Increase to $90,0...", + "Type: contracts
Text: ## Renewal\n\n1. **Automatic Renewal**: This Agreement will automatically renew for successive one-yea...", + "Type: employees
Text: # Samantha Greene\n\n## Summary\n- **Date of Birth:** October 14, 1990\n- **Job Title:** HR Generalist\n-...", + "Type: contracts
Text: **TechDrive Insurance Representative:** \nName: Sarah Johnson \nTitle: Operations Director \nDate: _...", + "Type: contracts
Text: # Contract with TechDrive Insurance for Carllm\n\n**Contract Date:** October 1, 2024 \n**Contract Dura...", + "Type: employees
Text: - **2022**: **Satisfactory** \n Avery focused on rebuilding team dynamics and addressing employee c...", + "Type: employees
Text: # Avery Lancaster\n\n## Summary\n- **Date of Birth**: March 15, 1985 \n- **Job Title**: Co-Founder & Ch...", + "Type: employees
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Text: {d[:100]}...\" for t, d in zip(doc_types, documents)],\n", + " hoverinfo='text'\n", + ")])\n", + "\n", + "fig.update_layout(\n", + " title='2D Chroma Vector Store Visualization',\n", + " scene=dict(xaxis_title='x',yaxis_title='y'),\n", + " width=800,\n", + " height=600,\n", + " margin=dict(r=20, b=10, l=10, t=40)\n", + ")\n", + "\n", + "fig.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "e1418e88-acd5-460a-bf2b-4e6efc88e3dd", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "hoverinfo": "text", + "marker": { + "color": [ + "red", + "red", + "red", + "red", + "green", + "red", + "green", + "blue", + "green", + "red", + "green", + "green", + "red", + "red", + "green", + "red", + "green", + "blue", + "red", + "red", + "red", + "red", + "red", + "red", + "red", + "blue", + "red", + "red", + "orange", + "green", + "blue", + "red", + "green", + "red", + "green", + "green", + "red", + "blue", + "blue", + "green", + "blue", + "red", + "red", + "green", + "red", + "red", + "red", + "green", + "red", + "green", + "red", + "green", + "blue", + "red", + "green", + "green", + "red", + "blue", + "green", + "red", + "green", + "red", + "green", + "red", + "green", + "blue", + "green", + "red", + "blue", + "green", + "blue", + "green", + "red", + "green", + "green", + "blue", + "red", + "green", + "green", + "blue", + "green", + "red", + "red", + "orange", + "red", + "green", + "red", + "red", + "red", + "green", + "red", + "green", + "green", + "red", + "green", + "blue", + "green", + "red", + "green", + "blue", + "red", + "green", + "green", + "green", + "blue", + "green", + "red", + "blue", + "blue", + "red", + "blue", + "green", + "orange", + "red", + "blue", + "green", + "red", + "green", + "red", + "red", + "green", + "green", + "green" + ], + "opacity": 0.8, + "size": 5 + }, + "mode": "markers", + "text": [ + "Type: contracts
Text: # Contract with Velocity Auto Solutions for Carllm\n\n**Contract Date:** October 1, 2023 \n**Contract ...", + "Type: contracts
Text: ---\n\n## Renewal\n\n1. **Automatic Renewal**: This agreement will automatically renew for an additional...", + "Type: contracts
Text: 3. **Regular Updates:** Insurellm will offer ongoing updates and enhancements to the Homellm platfor...", + "Type: contracts
Text: ## Renewal\n1. **Renewal Terms**: At the end of the initial term, this Contract shall automatically r...", + "Type: employees
Text: # HR Record\n\n# Maxine Thompson\n\n## Summary\n- **Date of Birth:** January 15, 1991 \n- **Job Title:** ...", + "Type: contracts
Text: # Contract with GreenField Holdings for Markellm\n\n**Effective Date:** November 15, 2023 \n**Contract...", + "Type: employees
Text: ## Annual Performance History\n- **2019:** Exceeds Expectations - Continuously delivered high-quality...", + "Type: products
Text: - **Professional Tier**: $2,500/month\n - For medium-sized companies.\n - All Basic Tier features pl...", + "Type: employees
Text: - **2021**: \n - Performance Rating: Meets Expectations \n - Key Achievements: Contributed to the ...", + "Type: contracts
Text: **Belvedere Insurance** \nSignature: ______________________ \nName: [Authorized Signatory] \nTitle: ...", + "Type: employees
Text: ## Compensation History\n- **2020:** Base Salary - $55,000 \n The entry-level salary matched industr...", + "Type: employees
Text: ## Annual Performance History\n- **2017**: *Meets Expectations* \n Maxine showed potential in her ro...", + "Type: contracts
Text: ## Support\nInsurellm provides Stellar Insurance Co. with the following support services:\n\n- **24/7 T...", + "Type: contracts
Text: ---\n\n## Features\n\n- **AI-Powered Risk Assessment**: Customer will have access to enhanced risk evalu...", + "Type: employees
Text: - **2022**: \n - **Base Salary**: $65,000 (Promotion to Senior SDR) \n - **Bonus**: $13,000 (20% o...", + "Type: contracts
Text: ## Renewal\n1. **Automatic Renewal**: This contract will automatically renew for sequential one-year ...", + "Type: employees
Text: - **2017-2019:** Marketing Intern \n - Assisted with market research and campaign development for s...", + "Type: products
Text: ### 5. Multi-Channel Integration\nHomellm seamlessly integrates into existing insurance platforms, pr...", + "Type: contracts
Text: 4. **Confidentiality:** Both parties agree to maintain the confidentiality of proprietary informatio...", + "Type: contracts
Text: 2. **Seamless Integrations**: The architecture of Rellm allows for easy integration with existing sy...", + "Type: contracts
Text: ## Renewal\n\n1. **Automatic Renewal**: This contract will automatically renew for successive 12-month...", + "Type: contracts
Text: # Contract with Belvedere Insurance for Markellm\n\n## Terms\nThis Contract (\"Agreement\") is made and e...", + "Type: contracts
Text: 1. **Technical Support**: Provider shall offer dedicated technical support to the Client via phone, ...", + "Type: contracts
Text: ______________________________ \n[Name], [Title] \nDate: ______________________\n\n**For Greenstone In...", + "Type: contracts
Text: 4. **Payment Terms**: \n - The Customer shall pay an amount of $10,000 per month for the Standard T...", + "Type: products
Text: - **User-Friendly Interface**: Designed with user experience in mind, Markellm features an intuitive...", + "Type: contracts
Text: - **Customer Portal**: A dedicated portal will be provided, allowing the Customer's clients to manag...", + "Type: contracts
Text: # Contract with Stellar Insurance Co. for Rellm\n\n## Terms\nThis contract is made between **Insurellm*...", + "Type: company
Text: # Careers at Insurellm\n\nInsurellm is hiring! We are looking for talented software engineers, data sc...", + "Type: employees
Text: # HR Record\n\n# Jordan K. Bishop\n\n## Summary\n- **Date of Birth:** March 15, 1990\n- **Job Title:** Fro...", + "Type: products
Text: ### Q3 2025\n- Initiate a comprehensive marketing campaign targeting both consumers and insurers to i...", + "Type: contracts
Text: ## Renewal\n1. **Renewal Terms**: This Agreement may be renewed for additional one-year terms upon mu...", + "Type: employees
Text: - **2010 - 2013**: Business Analyst at Edge Analytics \n Prior to joining Innovate, Avery worked as...", + "Type: contracts
Text: 4. **Usage Rights**: EverGuard Insurance is granted a non-exclusive, non-transferable license to acc...", + "Type: employees
Text: # HR Record\n\n# Oliver Spencer\n\n## Summary\n- **Date of Birth**: May 14, 1990 \n- **Job Title**: Backe...", + "Type: employees
Text: ## Other HR Notes\n- Jordan K. Bishop has been an integral part of club initiatives, including the In...", + "Type: contracts
Text: ## Features\n1. **AI-Powered Matching**: Belvedere Insurance will benefit from Markellm's AI-powered ...", + "Type: products
Text: ### For Insurance Companies:\n- **Basic Listing Fee**: $199/month for a featured listing on the platf...", + "Type: products
Text: # Product Summary\n\n# Markellm\n\n## Summary\n\nMarkellm is an innovative two-sided marketplace designed ...", + "Type: employees
Text: ## Annual Performance History\n- **2021:** First year at Insurellm; achieved 90% of monthly targets. ...", + "Type: products
Text: All tiers include a comprehensive training program and ongoing updates to ensure optimal performance...", + "Type: contracts
Text: # Contract with Roadway Insurance Inc. for Carllm\n\n---\n\n## Terms\n\n1. **Agreement Effective Date**: T...", + "Type: contracts
Text: ## Features\n1. **AI-Powered Risk Assessment**: Utilized for tailored underwriting decisions specific...", + "Type: employees
Text: ## Annual Performance History\n- **2018**: **3/5** - Adaptable team player but still learning to take...", + "Type: contracts
Text: # Contract with Greenstone Insurance for Homellm\n\n---\n\n## Terms\n\n1. **Parties**: This Contract (\"Agr...", + "Type: contracts
Text: ## Support\n\n1. **Customer Support**: Velocity Auto Solutions will have access to Insurellm’s custome...", + "Type: contracts
Text: ## Renewal\n\n1. **Automatic Renewal**: This contract shall automatically renew for additional one-yea...", + "Type: employees
Text: ## Other HR Notes\n- Jordan has shown an interest in continuing education, actively participating in ...", + "Type: contracts
Text: 1. **Customer Support**: Insurellm will provide EverGuard Insurance with 24/7 customer support, incl...", + "Type: employees
Text: - **Engagement in Company Culture:** Regularly participates in team-building events and contributes ...", + "Type: contracts
Text: ## Features\n1. **AI-Powered Matching**: Access to advanced algorithms that connect GreenField Holdin...", + "Type: employees
Text: # HR Record\n\n# Emily Carter\n\n## Summary\n- **Date of Birth:** August 12, 1990 \n- **Job Title:** Acco...", + "Type: products
Text: - **Mobile Integration**: Carllm is designed to work seamlessly with mobile applications, providing ...", + "Type: contracts
Text: # Contract with Pinnacle Insurance Co. for Homellm\n\n## Terms\nThis contract (\"Contract\") is entered i...", + "Type: employees
Text: - **January 2017 - May 2018**: Marketing Intern \n - Supported the Marketing team by collaborating ...", + "Type: employees
Text: ## Compensation History\n- **2015**: $150,000 base salary + Significant equity stake \n- **2016**: $1...", + "Type: contracts
Text: # Contract with GreenValley Insurance for Homellm\n\n**Contract Date:** October 6, 2023 \n**Contract N...", + "Type: products
Text: - **Customer Support**: Our dedicated support team is always available to assist both consumers and ...", + "Type: employees
Text: # HR Record\n\n# Samuel Trenton\n\n## Summary\n- **Date of Birth:** April 12, 1989 \n- **Job Title:** Sen...", + "Type: contracts
Text: # Contract with BrightWay Solutions for Markellm\n\n**Contract Date:** October 5, 2023 \n**Contract ID...", + "Type: employees
Text: ## Annual Performance History \n- **2022** - Rated as \"Exceeds Expectations.\" Alex Thomson achieved ...", + "Type: contracts
Text: 3. **Service Level Agreement (SLA):** \n Insurellm commits to a 99.9% uptime for the platform with...", + "Type: employees
Text: # HR Record\n\n# Jordan Blake\n\n## Summary\n- **Date of Birth:** March 15, 1993 \n- **Job Title:** Sales...", + "Type: contracts
Text: ## Features\nStellar Insurance Co. will receive access to the following features of the Rellm product...", + "Type: employees
Text: ## Compensation History\n| Year | Base Salary | Bonus | Total Compensation |\n|------|--------...", + "Type: products
Text: # Product Summary\n\n# Homellm\n\n## Summary\nHomellm is an innovative home insurance product developed b...", + "Type: employees
Text: ## Compensation History\n- **2023:** Base Salary: $115,000 + Bonus: $15,000 \n *Annual bonus based o...", + "Type: contracts
Text: 3. **Training and Onboarding:** \n Insurellm agrees to provide one free training session on how to...", + "Type: products
Text: With Homellm, Insurellm is committed to transforming the landscape of home insurance, ensuring both ...", + "Type: employees
Text: ## Compensation History\n- **March 2018**: Initial salary of $80,000.\n- **July 2019**: Salary increas...", + "Type: products
Text: ### Q2 2025: Customer Experience Improvements\n- Launch of a new **mobile app** for end-users.\n- Intr...", + "Type: employees
Text: ## Insurellm Career Progression\n- **January 2017 - October 2018**: **Junior Data Engineer** \n * Ma...", + "Type: contracts
Text: **Insurellm, Inc.** \n_____________________________ \nAuthorized Signature \nDate: ________________...", + "Type: employees
Text: ## Other HR Notes\n- Alex Thomson is an active member of the Diversity and Inclusion committee at Ins...", + "Type: employees
Text: # HR Record\n\n# Alex Harper\n\n## Summary\n- **Date of Birth**: March 15, 1993 \n- **Job Title**: Sales ...", + "Type: products
Text: ### Regulatory Compliance Tools\nRellm includes built-in compliance tracking features to help organiz...", + "Type: contracts
Text: ---\n\n## Support\n\n1. **Technical Support**: Roadway Insurance Inc. will receive priority technical su...", + "Type: employees
Text: ## Annual Performance History \n- **2021**: \n - **Performance Rating**: 4.5/5 \n - **Key Achievem...", + "Type: employees
Text: ## Annual Performance History\n- **2023:** Rating: 4.5/5 \n *Samuel exceeded expectations, successfu...", + "Type: products
Text: ### 2. Dynamic Pricing Model\nWith Homellm's innovative dynamic pricing model, insurance providers ca...", + "Type: employees
Text: Alex Chen continues to be a vital asset at Insurellm, contributing significantly to innovative backe...", + "Type: contracts
Text: ## Support\n\n1. **Customer Support**: Insurellm will provide 24/7 customer support to TechDrive Insur...", + "Type: contracts
Text: ## Support\n1. **Customer Support Access**: The Client will have access to dedicated support through ...", + "Type: company
Text: # Overview of Insurellm\n\nInsurellm is an innovative insurance tech firm with 200 employees across th...", + "Type: contracts
Text: ---\n\n**Signatures** \n**For Insurellm**: __________________________ \n**Name**: John Smith \n**Title...", + "Type: employees
Text: # HR Record\n\n# Alex Thomson\n\n## Summary\n- **Date of Birth:** March 15, 1995 \n- **Job Title:** Sales...", + "Type: contracts
Text: ## Support\n1. **Technical Support**: Insurellm shall provide 24/7 technical support via an email and...", + "Type: contracts
Text: **Signatures:** \n_________________________ _________________________ \n**...", + "Type: contracts
Text: ---\n\n## Features\n\n1. **Access to Core Features**: Roadway Insurance Inc. will have access to all Pro...", + "Type: employees
Text: ## Other HR Notes\n- **Professional Development**: Avery has actively participated in leadership trai...", + "Type: contracts
Text: # Contract with Apex Reinsurance for Rellm: AI-Powered Enterprise Reinsurance Solution\n\n## Terms\n\n1....", + "Type: employees
Text: ## Compensation History\n- **2017**: $70,000 (Junior Data Engineer) \n- **2018**: $75,000 (Junior Dat...", + "Type: employees
Text: ## Compensation History\n- **June 2018:** Starting Salary - $85,000\n- **June 2019:** Salary Increase ...", + "Type: contracts
Text: 2. **Real-Time Quote Availability:** \n Consumers sourced via BrightWay Solutions will receive rea...", + "Type: employees
Text: - **2023:** Base Salary - $70,000 \n Recognized for substantial improvement in employee relations m...", + "Type: products
Text: - **Basic Tier:** Starting at $5,000/month for small insurers with basic integration features.\n- **S...", + "Type: employees
Text: Emily Carter exemplifies the kind of talent that drives Insurellm's success and is an invaluable ass...", + "Type: contracts
Text: ### Termination\nEither party may terminate this agreement with a **30-day written notice**. In the e...", + "Type: employees
Text: ## Annual Performance History\n- **2020:** \n - Completed onboarding successfully. \n - Met expecta...", + "Type: products
Text: # Product Summary\n\n# Carllm\n\n## Summary\n\nCarllm is an innovative auto insurance product developed by...", + "Type: contracts
Text: ## Support\n1. **Technical Support**: Technical support will be available from 9 AM to 7 PM EST, Mond...", + "Type: employees
Text: ## Annual Performance History\n- **2020:** Exceeds Expectations \n Samantha Greene demonstrated exce...", + "Type: employees
Text: - **2018**: **Exceeds Expectations** \n Under Avery’s pivoted vision, Insurellm launched two new su...", + "Type: employees
Text: # HR Record\n\n# Alex Chen\n\n## Summary\n- **Date of Birth:** March 15, 1990 \n- **Job Title:** Backend ...", + "Type: products
Text: # Product Summary\n\n# Rellm: AI-Powered Enterprise Reinsurance Solution\n\n## Summary\n\nRellm is an inno...", + "Type: employees
Text: # HR Record\n\n# Emily Tran\n\n## Summary\n- **Date of Birth:** March 18, 1991 \n- **Job Title:** Digital...", + "Type: contracts
Text: 1. **Core Functionality**: Rellm provides EverGuard Insurance with advanced AI-driven analytics, sea...", + "Type: products
Text: Experience the future of reinsurance with Rellm, where innovation meets reliability. Let Insurellm h...", + "Type: products
Text: ### Seamless Integrations\nRellm's architecture is designed for effortless integration with existing ...", + "Type: contracts
Text: 1. **AI-Powered Risk Assessment:** Access to advanced AI algorithms for real-time risk evaluations.\n...", + "Type: products
Text: - **Instant Quoting**: With Carllm, insurance companies can offer near-instant quotes to customers, ...", + "Type: employees
Text: - **Professional Development Goals**: \n - Emily Tran aims to become a Marketing Manager within the...", + "Type: company
Text: # About Insurellm\n\nInsurellm was founded by Avery Lancaster in 2015 as an insurance tech startup des...", + "Type: contracts
Text: # Contract with EverGuard Insurance for Rellm: AI-Powered Enterprise Reinsurance Solution\n\n**Contrac...", + "Type: products
Text: Join the growing number of organizations leveraging Rellm to enhance their reinsurance processes whi...", + "Type: employees
Text: ## Compensation History\n- **2020:** Base Salary: $80,000 \n- **2021:** Base Salary Increase to $90,0...", + "Type: contracts
Text: ## Renewal\n\n1. **Automatic Renewal**: This Agreement will automatically renew for successive one-yea...", + "Type: employees
Text: # Samantha Greene\n\n## Summary\n- **Date of Birth:** October 14, 1990\n- **Job Title:** HR Generalist\n-...", + "Type: contracts
Text: **TechDrive Insurance Representative:** \nName: Sarah Johnson \nTitle: Operations Director \nDate: _...", + "Type: contracts
Text: # Contract with TechDrive Insurance for Carllm\n\n**Contract Date:** October 1, 2024 \n**Contract Dura...", + "Type: employees
Text: - **2022**: **Satisfactory** \n Avery focused on rebuilding team dynamics and addressing employee c...", + "Type: employees
Text: # Avery Lancaster\n\n## Summary\n- **Date of Birth**: March 15, 1985 \n- **Job Title**: Co-Founder & Ch...", + "Type: employees
Text: - **2021**: *Exceeds Expectations* \n Maxine spearheaded the transition to a new data warehousing s..." + ], + "type": "scatter3d", + "x": [ + 63.363712, + 94.544624, + 2.8169973, + 104.21436, + -88.11211, + 11.690055, + -42.09643, + 17.329636, + -88.09573, + -5.860442, + -100.20195, + -51.499683, + 48.32275, + 42.980507, + -86.57685, + 105.533295, + -73.02091, + 13.387396, + 58.015717, + 93.46328, + 66.72015, + -7.618365, + 86.002525, + -27.222898, + 64.660995, + -10.414488, + 19.477203, + 41.850967, + -20.776913, + -38.737434, + 23.589355, + 100.85827, + -29.75573, + 72.759926, + -43.303665, + -47.85763, + 4.177871, + 16.449827, + 6.504817, + -90.409424, + 23.88998, + 45.07566, + 68.3456, + -43.55883, + 25.878439, + 43.97077, + 76.09885, + -72.92946, + 52.119442, + -61.116463, + 34.584343, + -38.81607, + 18.513342, + 27.938423, + -60.573048, + -116.60443, + 48.51797, + 1.377452, + -48.152393, + 12.435394, + -105.31629, + 105.62614, + -67.68379, + 62.337845, + -113.70024, + 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", + "text/html": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Let's try 3D!\n", + "\n", + "tsne = TSNE(n_components=3, random_state=42)\n", + "reduced_vectors = tsne.fit_transform(vectors)\n", + "\n", + "# Create the 3D scatter plot\n", + "fig = go.Figure(data=[go.Scatter3d(\n", + " x=reduced_vectors[:, 0],\n", + " y=reduced_vectors[:, 1],\n", + " z=reduced_vectors[:, 2],\n", + " mode='markers',\n", + " marker=dict(size=5, color=colors, opacity=0.8),\n", + " text=[f\"Type: {t}
Text: {d[:100]}...\" for t, d in zip(doc_types, documents)],\n", + " hoverinfo='text'\n", + ")])\n", + "\n", + "fig.update_layout(\n", + " title='3D Chroma Vector Store Visualization',\n", + " scene=dict(xaxis_title='x', yaxis_title='y', zaxis_title='z'),\n", + " width=900,\n", + " height=700,\n", + " margin=dict(r=20, b=10, l=10, t=40)\n", + ")\n", + "\n", + "fig.show()" + ] + }, + { + "cell_type": "markdown", + "id": "9468860b-86a2-41df-af01-b2400cc985be", + "metadata": {}, + "source": [ + "## Time to use LangChain to bring it all together" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "129c7d1e-0094-4479-9459-f9360b95f244", + "metadata": {}, + "outputs": [], + "source": [ + "# create a new Chat with OpenAI\n", + "llm = ChatOpenAI(temperature=0.7, model_name=MODEL)\n", + "\n", + "# set up the conversation memory for the chat\n", + "memory = ConversationBufferMemory(memory_key='chat_history', return_messages=True)\n", + "\n", + "# the retriever is an abstraction over the VectorStore that will be used during RAG\n", + "retriever = vectorstore.as_retriever()\n", + "\n", + "# putting it together: set up the conversation chain with the GPT 3.5 LLM, the vector store and memory\n", + "conversation_chain = ConversationalRetrievalChain.from_llm(llm=llm, retriever=retriever, memory=memory)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "968e7bf2-e862-4679-a11f-6c1efb6ec8ca", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Insurellm is an innovative insurance tech firm founded by Avery Lancaster in 2015, designed to disrupt the insurance industry with cutting-edge products. The company offers four software solutions: Carllm for auto insurance, Homellm for home insurance, Rellm for the reinsurance sector, and Marketllm, a marketplace connecting consumers with insurance providers. With a workforce of 200 employees and over 300 clients worldwide, Insurellm is committed to transforming the insurance landscape through technology and innovation.\n" + ] + } + ], + "source": [ + "query = \"Can you describe Insurellm in a few sentences\"\n", + "result = conversation_chain.invoke({\"question\":query})\n", + "print(result[\"answer\"])" + ] + }, + { + "cell_type": "markdown", + "id": "bbbcb659-13ce-47ab-8a5e-01b930494964", + "metadata": {}, + "source": [ + "## Now we will bring this up in Gradio using the Chat interface -\n", + "\n", + "A quick and easy way to prototype a chat with an LLM" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "c3536590-85c7-4155-bd87-ae78a1467670", + "metadata": {}, + "outputs": [], + "source": [ + "# Wrapping that in a function\n", + "\n", + "def chat(message, history):\n", + " result = conversation_chain.invoke({\"question\": message})\n", + " return result[\"answer\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "b252d8c1-61a8-406d-b57a-8f708a62b014", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Running on local URL: http://127.0.0.1:7860\n", + "\n", + "To create a public link, set `share=True` in `launch()`.\n" + ] + }, + { + "data": { + "text/html": [ + "
" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# And in Gradio:\n", + "\n", + "view = gr.ChatInterface(chat).launch()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5435b2b9-935c-48cd-aaf3-73a837ecde49", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/week5/day5.ipynb b/week5/day5.ipynb new file mode 100644 index 0000000..8fee9a5 --- /dev/null +++ b/week5/day5.ipynb @@ -0,0 +1,3581 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "dfe37963-1af6-44fc-a841-8e462443f5e6", + "metadata": {}, + "source": [ + "## Expert Knowledge Worker\n", + "\n", + "### A question answering agent that is an expert knowledge worker\n", + "### To be used by employees of Insurellm, an Insurance Tech company\n", + "### The agent needs to be accurate and the solution should be low cost.\n", + "\n", + "This project will use RAG (Retrieval Augmented Generation) to ensure our question/answering assistant has high accuracy.\n", + "\n", + "This first implementation will use a simple, brute-force type of RAG.." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "ba2779af-84ef-4227-9e9e-6eaf0df87e77", + "metadata": {}, + "outputs": [], + "source": [ + "# imports\n", + "\n", + "import os\n", + "import glob\n", + "from dotenv import load_dotenv\n", + "import gradio as gr" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "802137aa-8a74-45e0-a487-d1974927d7ca", + "metadata": {}, + "outputs": [], + "source": [ + "# imports for langchain, plotly and Chroma\n", + "\n", + "from langchain.document_loaders import DirectoryLoader, TextLoader\n", + "from langchain.text_splitter import CharacterTextSplitter\n", + "from langchain.schema import Document\n", + "from langchain_openai import OpenAIEmbeddings, ChatOpenAI\n", + "from langchain_chroma import Chroma\n", + "import matplotlib.pyplot as plt\n", + "from sklearn.manifold import TSNE\n", + "import numpy as np\n", + "import plotly.graph_objects as go\n", + "from langchain.memory import ConversationBufferMemory\n", + "from langchain.chains import ConversationalRetrievalChain" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "58c85082-e417-4708-9efe-81a5d55d1424", + "metadata": {}, + "outputs": [], + "source": [ + "# price is a factor for our company, so we're going to use a low cost model\n", + "\n", + "MODEL = \"gpt-4o-mini\"\n", + "db_name = \"vector_db\"" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "ee78efcb-60fe-449e-a944-40bab26261af", + "metadata": {}, + "outputs": [], + "source": [ + "# Load environment variables in a file called .env\n", + "\n", + "load_dotenv()\n", + "os.environ['OPENAI_API_KEY'] = os.getenv('OPENAI_API_KEY', 'your-key-if-not-using-env')" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "730711a9-6ffe-4eee-8f48-d6cfb7314905", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Created a chunk of size 1088, which is longer than the specified 1000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Total number of chunks: 123\n", + "Document types found: {'contracts', 'company', 'employees', 'products'}\n" + ] + } + ], + "source": [ + "# Read in documents using LangChain's loaders\n", + "# Take everything in all the sub-folders of our knowledgebase\n", + "\n", + "folders = glob.glob(\"knowledge-base/*\")\n", + "\n", + "def add_metadata(doc, doc_type):\n", + " doc.metadata[\"doc_type\"] = doc_type\n", + " return doc\n", + "\n", + "documents = []\n", + "for folder in folders:\n", + " doc_type = os.path.basename(folder)\n", + " loader = DirectoryLoader(folder, glob=\"**/*.md\", loader_cls=TextLoader)\n", + " folder_docs = loader.load()\n", + " documents.extend([add_metadata(doc, doc_type) for doc in folder_docs])\n", + "\n", + "text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=200)\n", + "chunks = text_splitter.split_documents(documents)\n", + "\n", + "print(f\"Total number of chunks: {len(chunks)}\")\n", + "print(f\"Document types found: {set(doc.metadata['doc_type'] for doc in documents)}\")" + ] + }, + { + "cell_type": "markdown", + "id": "77f7d2a6-ccfa-425b-a1c3-5e55b23bd013", + "metadata": {}, + "source": [ + "## A sidenote on Embeddings, and \"Auto-Encoding LLMs\"\n", + "\n", + "We will be mapping each chunk of text into a Vector that represents the meaning of the text, known as an embedding.\n", + "\n", + "OpenAI offers a model to do this, which we will use by calling their API with some LangChain code.\n", + "\n", + "This model is an example of an \"Auto-Encoding LLM\" which generates an output given a complete input.\n", + "It's different to all the other LLMs we've discussed today, which are known as \"Auto-Regressive LLMs\", and generate future tokens based only on past context.\n", + "\n", + "Another example of an Auto-Encoding LLMs is BERT from Google. In addition to embedding, Auto-encoding LLMs are often used for classification.\n", + "\n", + "More details in the resources." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "78998399-ac17-4e28-b15f-0b5f51e6ee23", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Vectorstore created with 123 documents\n" + ] + } + ], + "source": [ + "# Put the chunks of data into a Vector Store that associates a Vector Embedding with each chunk\n", + "# Chroma is a popular open source Vector Database based on SQLLite\n", + "\n", + "embeddings = OpenAIEmbeddings()\n", + "\n", + "# Delete if already exists\n", + "\n", + "if os.path.exists(db_name):\n", + " Chroma(persist_directory=db_name, embedding_function=embeddings).delete_collection()\n", + "\n", + "# Create vectorstore\n", + "\n", + "vectorstore = Chroma.from_documents(documents=chunks, embedding=embeddings, persist_directory=db_name)\n", + "print(f\"Vectorstore created with {vectorstore._collection.count()} documents\")" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "ff2e7687-60d4-4920-a1d7-a34b9f70a250", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "There are 123 vectors with 1,536 dimensions in the vector store\n" + ] + } + ], + "source": [ + "# Let's investigate the vectors\n", + "\n", + "collection = vectorstore._collection\n", + "count = collection.count()\n", + "\n", + "sample_embedding = collection.get(limit=1, include=[\"embeddings\"])[\"embeddings\"][0]\n", + "dimensions = len(sample_embedding)\n", + "print(f\"There are {count:,} vectors with {dimensions:,} dimensions in the vector store\")" + ] + }, + { + "cell_type": "markdown", + "id": "b0d45462-a818-441c-b010-b85b32bcf618", + "metadata": {}, + "source": [ + "## Visualizing the Vector Store\n", + "\n", + "Let's take a minute to look at the documents and their embedding vectors to see what's going on." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "b98adf5e-d464-4bd2-9bdf-bc5b6770263b", + "metadata": {}, + "outputs": [], + "source": [ + "# Prework\n", + "\n", + "result = collection.get(include=['embeddings', 'documents', 'metadatas'])\n", + "vectors = np.array(result['embeddings'])\n", + "documents = result['documents']\n", + "metadatas = result['metadatas']\n", + "doc_types = [metadata['source'].split('/')[1] for metadata in metadatas]\n", + "colors = [['blue', 'green', 'red', 'orange'][['products', 'employees', 'contracts', 'company'].index(t)] for t in doc_types]" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "427149d5-e5d8-4abd-bb6f-7ef0333cca21", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + " \n", + " " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "hoverinfo": "text", + "marker": { + "color": [ + "red", + "orange", + "blue", + "blue", + "green", + "green", + "blue", + "blue", + "green", + "red", + "green", + "red", + "red", + "red", + "red", + "green", + "blue", + "green", + "green", + "green", + "green", + "green", + "red", + "red", + "green", + "green", + "red", + "green", + "red", + "green", + "red", + "red", + "red", + "green", + "green", + "blue", + "red", + "red", + "green", + "red", + "red", + "blue", + "green", + "red", + "red", + "green", + "red", + "red", + "green", + "red", + "red", + "green", + "red", + "blue", + "red", + "red", + "red", + "red", + "red", + "green", + "green", + "red", + "green", + "blue", + "green", + "red", + "green", + "blue", + "green", + "red", + "red", + "red", + "green", + "orange", + "green", + "red", + "blue", + "red", + "red", + "green", + "green", + "blue", + "red", + "red", + "red", + "red", + "green", + "green", + "green", + "blue", + "green", + "green", + "red", + "green", + "red", + "blue", + "red", + "green", + "blue", + "green", + "red", + "blue", + "green", + "green", + "green", + "blue", + "blue", + "red", + "red", + "blue", + "green", + "green", + "green", + "red", + "green", + "blue", + "red", + "red", + "red", + "blue", + "green", + "orange", + "red" + ], + "opacity": 0.8, + "size": 5 + }, + "mode": "markers", + "text": [ + "Type: contracts
Text: ---\n\n## Features\n\n1. **Access to Core Features**: Roadway Insurance Inc. will have access to all Pro...", + "Type: company
Text: # About Insurellm\n\nInsurellm was founded by Avery Lancaster in 2015 as an insurance tech startup des...", + "Type: products
Text: Experience the future of reinsurance with Rellm, where innovation meets reliability. Let Insurellm h...", + "Type: products
Text: - **User-Friendly Interface**: Designed with user experience in mind, Markellm features an intuitive...", + "Type: employees
Text: - **2010 - 2013**: Business Analyst at Edge Analytics \n Prior to joining Innovate, Avery worked as...", + "Type: employees
Text: ## Annual Performance History\n- **2019:** Exceeds Expectations - Continuously delivered high-quality...", + "Type: products
Text: - **Professional Tier**: $2,500/month\n - For medium-sized companies.\n - All Basic Tier features pl...", + "Type: products
Text: - **Instant Quoting**: With Carllm, insurance companies can offer near-instant quotes to customers, ...", + "Type: employees
Text: - **2022**: \n - **Base Salary**: $65,000 (Promotion to Senior SDR) \n - **Bonus**: $13,000 (20% o...", + "Type: contracts
Text: ## Renewal\n\n1. **Automatic Renewal**: This contract shall automatically renew for additional one-yea...", + "Type: employees
Text: # HR Record\n\n# Maxine Thompson\n\n## Summary\n- **Date of Birth:** January 15, 1991 \n- **Job Title:** ...", + "Type: contracts
Text: # Contract with TechDrive Insurance for Carllm\n\n**Contract Date:** October 1, 2024 \n**Contract Dura...", + "Type: contracts
Text: 4. **Payment Terms**: \n - The Customer shall pay an amount of $10,000 per month for the Standard T...", + "Type: contracts
Text: ## Support\n1. **Technical Support**: Insurellm shall provide 24/7 technical support via an email and...", + "Type: contracts
Text: # Contract with Apex Reinsurance for Rellm: AI-Powered Enterprise Reinsurance Solution\n\n## Terms\n\n1....", + "Type: employees
Text: - **2023:** Base Salary - $70,000 \n Recognized for substantial improvement in employee relations m...", + "Type: products
Text: # Product Summary\n\n# Carllm\n\n## Summary\n\nCarllm is an innovative auto insurance product developed by...", + "Type: employees
Text: ## Annual Performance History \n- **2022** - Rated as \"Exceeds Expectations.\" Alex Thomson achieved ...", + "Type: employees
Text: ## Compensation History\n- **March 2018**: Initial salary of $80,000.\n- **July 2019**: Salary increas...", + "Type: employees
Text: - **January 2017 - May 2018**: Marketing Intern \n - Supported the Marketing team by collaborating ...", + "Type: employees
Text: # HR Record\n\n# Emily Carter\n\n## Summary\n- **Date of Birth:** August 12, 1990 \n- **Job Title:** Acco...", + "Type: employees
Text: ## Other HR Notes\n- Jordan K. Bishop has been an integral part of club initiatives, including the In...", + "Type: contracts
Text: 1. **AI-Powered Risk Assessment:** Access to advanced AI algorithms for real-time risk evaluations.\n...", + "Type: contracts
Text: # Contract with Belvedere Insurance for Markellm\n\n## Terms\nThis Contract (\"Agreement\") is made and e...", + "Type: employees
Text: ## Annual Performance History\n- **2020:** Exceeds Expectations \n Samantha Greene demonstrated exce...", + "Type: employees
Text: ## Annual Performance History\n- **2021:** First year at Insurellm; achieved 90% of monthly targets. ...", + "Type: contracts
Text: 3. **Training and Onboarding:** \n Insurellm agrees to provide one free training session on how to...", + "Type: employees
Text: ## Compensation History\n- **June 2018:** Starting Salary - $85,000\n- **June 2019:** Salary Increase ...", + "Type: contracts
Text: ## Features\nStellar Insurance Co. will receive access to the following features of the Rellm product...", + "Type: employees
Text: ## Annual Performance History \n- **2021**: \n - **Performance Rating**: 4.5/5 \n - **Key Achievem...", + "Type: contracts
Text: # Contract with Stellar Insurance Co. for Rellm\n\n## Terms\nThis contract is made between **Insurellm*...", + "Type: contracts
Text: # Contract with Roadway Insurance Inc. for Carllm\n\n---\n\n## Terms\n\n1. **Agreement Effective Date**: T...", + "Type: contracts
Text: ---\n\n## Features\n\n- **AI-Powered Risk Assessment**: Customer will have access to enhanced risk evalu...", + "Type: employees
Text: - **Professional Development Goals**: \n - Emily Tran aims to become a Marketing Manager within the...", + "Type: employees
Text: ## Compensation History\n- **2020:** Base Salary: $80,000 \n- **2021:** Base Salary Increase to $90,0...", + "Type: products
Text: All tiers include a comprehensive training program and ongoing updates to ensure optimal performance...", + "Type: contracts
Text: ______________________________ \n[Name], [Title] \nDate: ______________________\n\n**For Greenstone In...", + "Type: contracts
Text: # Contract with EverGuard Insurance for Rellm: AI-Powered Enterprise Reinsurance Solution\n\n**Contrac...", + "Type: employees
Text: ## Compensation History\n- **2015**: $150,000 base salary + Significant equity stake \n- **2016**: $1...", + "Type: contracts
Text: 1. **Customer Support**: Insurellm will provide EverGuard Insurance with 24/7 customer support, incl...", + "Type: contracts
Text: ---\n\n## Support\n\n1. **Technical Support**: Roadway Insurance Inc. will receive priority technical su...", + "Type: products
Text: ### Regulatory Compliance Tools\nRellm includes built-in compliance tracking features to help organiz...", + "Type: employees
Text: Emily Carter exemplifies the kind of talent that drives Insurellm's success and is an invaluable ass...", + "Type: contracts
Text: ## Support\nInsurellm provides Stellar Insurance Co. with the following support services:\n\n- **24/7 T...", + "Type: contracts
Text: 3. **Regular Updates:** Insurellm will offer ongoing updates and enhancements to the Homellm platfor...", + "Type: employees
Text: # HR Record\n\n# Alex Chen\n\n## Summary\n- **Date of Birth:** March 15, 1990 \n- **Job Title:** Backend ...", + "Type: contracts
Text: 2. **Seamless Integrations**: The architecture of Rellm allows for easy integration with existing sy...", + "Type: contracts
Text: ### Termination\nEither party may terminate this agreement with a **30-day written notice**. In the e...", + "Type: employees
Text: Alex Chen continues to be a vital asset at Insurellm, contributing significantly to innovative backe...", + "Type: contracts
Text: **Belvedere Insurance** \nSignature: ______________________ \nName: [Authorized Signatory] \nTitle: ...", + "Type: contracts
Text: ## Support\n\n1. **Customer Support**: Insurellm will provide 24/7 customer support to TechDrive Insur...", + "Type: employees
Text: # HR Record\n\n# Jordan K. Bishop\n\n## Summary\n- **Date of Birth:** March 15, 1990\n- **Job Title:** Fro...", + "Type: contracts
Text: 3. **Service Level Agreement (SLA):** \n Insurellm commits to a 99.9% uptime for the platform with...", + "Type: products
Text: ### Q2 2025: Customer Experience Improvements\n- Launch of a new **mobile app** for end-users.\n- Intr...", + "Type: contracts
Text: ## Renewal\n1. **Renewal Terms**: At the end of the initial term, this Contract shall automatically r...", + "Type: contracts
Text: # Contract with BrightWay Solutions for Markellm\n\n**Contract Date:** October 5, 2023 \n**Contract ID...", + "Type: contracts
Text: ## Renewal\n\n1. **Automatic Renewal**: This Agreement will automatically renew for successive one-yea...", + "Type: contracts
Text: ## Support\n1. **Customer Support Access**: The Client will have access to dedicated support through ...", + "Type: contracts
Text: 1. **Core Functionality**: Rellm provides EverGuard Insurance with advanced AI-driven analytics, sea...", + "Type: employees
Text: ## Annual Performance History\n- **2018**: **3/5** - Adaptable team player but still learning to take...", + "Type: employees
Text: - **Engagement in Company Culture:** Regularly participates in team-building events and contributes ...", + "Type: contracts
Text: # Contract with GreenField Holdings for Markellm\n\n**Effective Date:** November 15, 2023 \n**Contract...", + "Type: employees
Text: - **2022**: **Satisfactory** \n Avery focused on rebuilding team dynamics and addressing employee c...", + "Type: products
Text: # Product Summary\n\n# Markellm\n\n## Summary\n\nMarkellm is an innovative two-sided marketplace designed ...", + "Type: employees
Text: ## Annual Performance History\n- **2023:** Rating: 4.5/5 \n *Samuel exceeded expectations, successfu...", + "Type: contracts
Text: # Contract with GreenValley Insurance for Homellm\n\n**Contract Date:** October 6, 2023 \n**Contract N...", + "Type: employees
Text: ## Compensation History\n- **2017**: $70,000 (Junior Data Engineer) \n- **2018**: $75,000 (Junior Dat...", + "Type: products
Text: - **Basic Tier:** Starting at $5,000/month for small insurers with basic integration features.\n- **S...", + "Type: employees
Text: # HR Record\n\n# Samuel Trenton\n\n## Summary\n- **Date of Birth:** April 12, 1989 \n- **Job Title:** Sen...", + "Type: contracts
Text: 2. **Real-Time Quote Availability:** \n Consumers sourced via BrightWay Solutions will receive rea...", + "Type: contracts
Text: ## Features\n1. **AI-Powered Matching**: Access to advanced algorithms that connect GreenField Holdin...", + "Type: contracts
Text: ## Renewal\n1. **Automatic Renewal**: This contract will automatically renew for sequential one-year ...", + "Type: employees
Text: - **2018**: **Exceeds Expectations** \n Under Avery’s pivoted vision, Insurellm launched two new su...", + "Type: company
Text: # Careers at Insurellm\n\nInsurellm is hiring! We are looking for talented software engineers, data sc...", + "Type: employees
Text: # HR Record\n\n# Jordan Blake\n\n## Summary\n- **Date of Birth:** March 15, 1993 \n- **Job Title:** Sales...", + "Type: contracts
Text: # Contract with Pinnacle Insurance Co. for Homellm\n\n## Terms\nThis contract (\"Contract\") is entered i...", + "Type: products
Text: ### For Insurance Companies:\n- **Basic Listing Fee**: $199/month for a featured listing on the platf...", + "Type: contracts
Text: ## Renewal\n1. **Renewal Terms**: This Agreement may be renewed for additional one-year terms upon mu...", + "Type: contracts
Text: ## Renewal\n\n1. **Automatic Renewal**: This contract will automatically renew for successive 12-month...", + "Type: employees
Text: ## Annual Performance History\n- **2020:** \n - Completed onboarding successfully. \n - Met expecta...", + "Type: employees
Text: # HR Record\n\n# Alex Thomson\n\n## Summary\n- **Date of Birth:** March 15, 1995 \n- **Job Title:** Sales...", + "Type: products
Text: # Product Summary\n\n# Homellm\n\n## Summary\nHomellm is an innovative home insurance product developed b...", + "Type: contracts
Text: **Signatures:** \n_________________________ _________________________ \n**...", + "Type: contracts
Text: ## Support\n1. **Technical Support**: Technical support will be available from 9 AM to 7 PM EST, Mond...", + "Type: contracts
Text: - **Customer Portal**: A dedicated portal will be provided, allowing the Customer's clients to manag...", + "Type: contracts
Text: # Contract with Velocity Auto Solutions for Carllm\n\n**Contract Date:** October 1, 2023 \n**Contract ...", + "Type: employees
Text: ## Other HR Notes\n- **Professional Development**: Avery has actively participated in leadership trai...", + "Type: employees
Text: # HR Record\n\n# Oliver Spencer\n\n## Summary\n- **Date of Birth**: May 14, 1990 \n- **Job Title**: Backe...", + "Type: employees
Text: - **2021**: *Exceeds Expectations* \n Maxine spearheaded the transition to a new data warehousing s...", + "Type: products
Text: With Homellm, Insurellm is committed to transforming the landscape of home insurance, ensuring both ...", + "Type: employees
Text: ## Compensation History\n- **2020:** Base Salary - $55,000 \n The entry-level salary matched industr...", + "Type: employees
Text: # Avery Lancaster\n\n## Summary\n- **Date of Birth**: March 15, 1985 \n- **Job Title**: Co-Founder & Ch...", + "Type: contracts
Text: ---\n\n## Renewal\n\n1. **Automatic Renewal**: This agreement will automatically renew for an additional...", + "Type: employees
Text: ## Other HR Notes\n- Jordan has shown an interest in continuing education, actively participating in ...", + "Type: contracts
Text: ## Features\n1. **AI-Powered Risk Assessment**: Utilized for tailored underwriting decisions specific...", + "Type: products
Text: ### Q3 2025\n- Initiate a comprehensive marketing campaign targeting both consumers and insurers to i...", + "Type: contracts
Text: ## Support\n\n1. **Customer Support**: Velocity Auto Solutions will have access to Insurellm’s custome...", + "Type: employees
Text: # HR Record\n\n# Alex Harper\n\n## Summary\n- **Date of Birth**: March 15, 1993 \n- **Job Title**: Sales ...", + "Type: products
Text: # Product Summary\n\n# Rellm: AI-Powered Enterprise Reinsurance Solution\n\n## Summary\n\nRellm is an inno...", + "Type: employees
Text: - **2021**: \n - Performance Rating: Meets Expectations \n - Key Achievements: Contributed to the ...", + "Type: contracts
Text: ## Features\n1. **AI-Powered Matching**: Belvedere Insurance will benefit from Markellm's AI-powered ...", + "Type: products
Text: ### Seamless Integrations\nRellm's architecture is designed for effortless integration with existing ...", + "Type: employees
Text: - **2017-2019:** Marketing Intern \n - Assisted with market research and campaign development for s...", + "Type: employees
Text: # HR Record\n\n# Emily Tran\n\n## Summary\n- **Date of Birth:** March 18, 1991 \n- **Job Title:** Digital...", + "Type: employees
Text: ## Insurellm Career Progression\n- **January 2017 - October 2018**: **Junior Data Engineer** \n * Ma...", + "Type: products
Text: ### 2. Dynamic Pricing Model\nWith Homellm's innovative dynamic pricing model, insurance providers ca...", + "Type: products
Text: - **Mobile Integration**: Carllm is designed to work seamlessly with mobile applications, providing ...", + "Type: contracts
Text: **Insurellm, Inc.** \n_____________________________ \nAuthorized Signature \nDate: ________________...", + "Type: contracts
Text: ---\n\n**Signatures** \n**For Insurellm**: __________________________ \n**Name**: John Smith \n**Title...", + "Type: products
Text: Join the growing number of organizations leveraging Rellm to enhance their reinsurance processes whi...", + "Type: employees
Text: ## Annual Performance History\n- **2017**: *Meets Expectations* \n Maxine showed potential in her ro...", + "Type: employees
Text: # Samantha Greene\n\n## Summary\n- **Date of Birth:** October 14, 1990\n- **Job Title:** HR Generalist\n-...", + "Type: employees
Text: ## Compensation History\n- **2023:** Base Salary: $115,000 + Bonus: $15,000 \n *Annual bonus based o...", + "Type: contracts
Text: # Contract with Greenstone Insurance for Homellm\n\n---\n\n## Terms\n\n1. **Parties**: This Contract (\"Agr...", + "Type: employees
Text: ## Other HR Notes\n- Alex Thomson is an active member of the Diversity and Inclusion committee at Ins...", + "Type: products
Text: - **Customer Support**: Our dedicated support team is always available to assist both consumers and ...", + "Type: contracts
Text: 4. **Confidentiality:** Both parties agree to maintain the confidentiality of proprietary informatio...", + "Type: contracts
Text: **TechDrive Insurance Representative:** \nName: Sarah Johnson \nTitle: Operations Director \nDate: _...", + "Type: contracts
Text: 4. **Usage Rights**: EverGuard Insurance is granted a non-exclusive, non-transferable license to acc...", + "Type: products
Text: ### 5. Multi-Channel Integration\nHomellm seamlessly integrates into existing insurance platforms, pr...", + "Type: employees
Text: ## Compensation History\n| Year | Base Salary | Bonus | Total Compensation |\n|------|--------...", + "Type: company
Text: # Overview of Insurellm\n\nInsurellm is an innovative insurance tech firm with 200 employees across th...", + "Type: contracts
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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# We humans find it easier to visalize things in 2D!\n", + "# Reduce the dimensionality of the vectors to 2D using t-SNE\n", + "# (t-distributed stochastic neighbor embedding)\n", + "\n", + "tsne = TSNE(n_components=2, random_state=42)\n", + "reduced_vectors = tsne.fit_transform(vectors)\n", + "\n", + "# Create the 2D scatter plot\n", + "fig = go.Figure(data=[go.Scatter(\n", + " x=reduced_vectors[:, 0],\n", + " y=reduced_vectors[:, 1],\n", + " mode='markers',\n", + " marker=dict(size=5, color=colors, opacity=0.8),\n", + " text=[f\"Type: {t}
Text: {d[:100]}...\" for t, d in zip(doc_types, documents)],\n", + " hoverinfo='text'\n", + ")])\n", + "\n", + "fig.update_layout(\n", + " title='2D Chroma Vector Store Visualization',\n", + " scene=dict(xaxis_title='x',yaxis_title='y'),\n", + " width=800,\n", + " height=600,\n", + " margin=dict(r=20, b=10, l=10, t=40)\n", + ")\n", + "\n", + "fig.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "e1418e88-acd5-460a-bf2b-4e6efc88e3dd", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "hoverinfo": "text", + "marker": { + "color": [ + "red", + "orange", + "blue", + "blue", + "green", + "green", + "blue", + "blue", + "green", + "red", + "green", + "red", + "red", + "red", + "red", + "green", + "blue", + "green", + "green", + "green", + "green", + "green", + "red", + "red", + "green", + "green", + "red", + "green", + "red", + "green", + "red", + "red", + "red", + "green", + "green", + "blue", + "red", + "red", + "green", + "red", + "red", + "blue", + "green", + "red", + "red", + "green", + "red", + "red", + "green", + "red", + "red", + "green", + "red", + "blue", + "red", + "red", + "red", + "red", + "red", + "green", + "green", + "red", + "green", + "blue", + "green", + "red", + "green", + "blue", + "green", + "red", + "red", + "red", + "green", + "orange", + "green", + "red", + "blue", + "red", + "red", + "green", + "green", + "blue", + "red", + "red", + "red", + "red", + "green", + "green", + "green", + "blue", + "green", + "green", + "red", + "green", + "red", + "blue", + "red", + "green", + "blue", + "green", + "red", + "blue", + "green", + "green", + "green", + "blue", + "blue", + "red", + "red", + "blue", + "green", + "green", + "green", + "red", + "green", + "blue", + "red", + "red", + "red", + "blue", + "green", + "orange", + "red" + ], + "opacity": 0.8, + "size": 5 + }, + "mode": "markers", + "text": [ + "Type: contracts
Text: ---\n\n## Features\n\n1. **Access to Core Features**: Roadway Insurance Inc. will have access to all Pro...", + "Type: company
Text: # About Insurellm\n\nInsurellm was founded by Avery Lancaster in 2015 as an insurance tech startup des...", + "Type: products
Text: Experience the future of reinsurance with Rellm, where innovation meets reliability. Let Insurellm h...", + "Type: products
Text: - **User-Friendly Interface**: Designed with user experience in mind, Markellm features an intuitive...", + "Type: employees
Text: - **2010 - 2013**: Business Analyst at Edge Analytics \n Prior to joining Innovate, Avery worked as...", + "Type: employees
Text: ## Annual Performance History\n- **2019:** Exceeds Expectations - Continuously delivered high-quality...", + "Type: products
Text: - **Professional Tier**: $2,500/month\n - For medium-sized companies.\n - All Basic Tier features pl...", + "Type: products
Text: - **Instant Quoting**: With Carllm, insurance companies can offer near-instant quotes to customers, ...", + "Type: employees
Text: - **2022**: \n - **Base Salary**: $65,000 (Promotion to Senior SDR) \n - **Bonus**: $13,000 (20% o...", + "Type: contracts
Text: ## Renewal\n\n1. **Automatic Renewal**: This contract shall automatically renew for additional one-yea...", + "Type: employees
Text: # HR Record\n\n# Maxine Thompson\n\n## Summary\n- **Date of Birth:** January 15, 1991 \n- **Job Title:** ...", + "Type: contracts
Text: # Contract with TechDrive Insurance for Carllm\n\n**Contract Date:** October 1, 2024 \n**Contract Dura...", + "Type: contracts
Text: 4. **Payment Terms**: \n - The Customer shall pay an amount of $10,000 per month for the Standard T...", + "Type: contracts
Text: ## Support\n1. **Technical Support**: Insurellm shall provide 24/7 technical support via an email and...", + "Type: contracts
Text: # Contract with Apex Reinsurance for Rellm: AI-Powered Enterprise Reinsurance Solution\n\n## Terms\n\n1....", + "Type: employees
Text: - **2023:** Base Salary - $70,000 \n Recognized for substantial improvement in employee relations m...", + "Type: products
Text: # Product Summary\n\n# Carllm\n\n## Summary\n\nCarllm is an innovative auto insurance product developed by...", + "Type: employees
Text: ## Annual Performance History \n- **2022** - Rated as \"Exceeds Expectations.\" Alex Thomson achieved ...", + "Type: employees
Text: ## Compensation History\n- **March 2018**: Initial salary of $80,000.\n- **July 2019**: Salary increas...", + "Type: employees
Text: - **January 2017 - May 2018**: Marketing Intern \n - Supported the Marketing team by collaborating ...", + "Type: employees
Text: # HR Record\n\n# Emily Carter\n\n## Summary\n- **Date of Birth:** August 12, 1990 \n- **Job Title:** Acco...", + "Type: employees
Text: ## Other HR Notes\n- Jordan K. Bishop has been an integral part of club initiatives, including the In...", + "Type: contracts
Text: 1. **AI-Powered Risk Assessment:** Access to advanced AI algorithms for real-time risk evaluations.\n...", + "Type: contracts
Text: # Contract with Belvedere Insurance for Markellm\n\n## Terms\nThis Contract (\"Agreement\") is made and e...", + "Type: employees
Text: ## Annual Performance History\n- **2020:** Exceeds Expectations \n Samantha Greene demonstrated exce...", + "Type: employees
Text: ## Annual Performance History\n- **2021:** First year at Insurellm; achieved 90% of monthly targets. ...", + "Type: contracts
Text: 3. **Training and Onboarding:** \n Insurellm agrees to provide one free training session on how to...", + "Type: employees
Text: ## Compensation History\n- **June 2018:** Starting Salary - $85,000\n- **June 2019:** Salary Increase ...", + "Type: contracts
Text: ## Features\nStellar Insurance Co. will receive access to the following features of the Rellm product...", + "Type: employees
Text: ## Annual Performance History \n- **2021**: \n - **Performance Rating**: 4.5/5 \n - **Key Achievem...", + "Type: contracts
Text: # Contract with Stellar Insurance Co. for Rellm\n\n## Terms\nThis contract is made between **Insurellm*...", + "Type: contracts
Text: # Contract with Roadway Insurance Inc. for Carllm\n\n---\n\n## Terms\n\n1. **Agreement Effective Date**: T...", + "Type: contracts
Text: ---\n\n## Features\n\n- **AI-Powered Risk Assessment**: Customer will have access to enhanced risk evalu...", + "Type: employees
Text: - **Professional Development Goals**: \n - Emily Tran aims to become a Marketing Manager within the...", + "Type: employees
Text: ## Compensation History\n- **2020:** Base Salary: $80,000 \n- **2021:** Base Salary Increase to $90,0...", + "Type: products
Text: All tiers include a comprehensive training program and ongoing updates to ensure optimal performance...", + "Type: contracts
Text: ______________________________ \n[Name], [Title] \nDate: ______________________\n\n**For Greenstone In...", + "Type: contracts
Text: # Contract with EverGuard Insurance for Rellm: AI-Powered Enterprise Reinsurance Solution\n\n**Contrac...", + "Type: employees
Text: ## Compensation History\n- **2015**: $150,000 base salary + Significant equity stake \n- **2016**: $1...", + "Type: contracts
Text: 1. **Customer Support**: Insurellm will provide EverGuard Insurance with 24/7 customer support, incl...", + "Type: contracts
Text: ---\n\n## Support\n\n1. **Technical Support**: Roadway Insurance Inc. will receive priority technical su...", + "Type: products
Text: ### Regulatory Compliance Tools\nRellm includes built-in compliance tracking features to help organiz...", + "Type: employees
Text: Emily Carter exemplifies the kind of talent that drives Insurellm's success and is an invaluable ass...", + "Type: contracts
Text: ## Support\nInsurellm provides Stellar Insurance Co. with the following support services:\n\n- **24/7 T...", + "Type: contracts
Text: 3. **Regular Updates:** Insurellm will offer ongoing updates and enhancements to the Homellm platfor...", + "Type: employees
Text: # HR Record\n\n# Alex Chen\n\n## Summary\n- **Date of Birth:** March 15, 1990 \n- **Job Title:** Backend ...", + "Type: contracts
Text: 2. **Seamless Integrations**: The architecture of Rellm allows for easy integration with existing sy...", + "Type: contracts
Text: ### Termination\nEither party may terminate this agreement with a **30-day written notice**. In the e...", + "Type: employees
Text: Alex Chen continues to be a vital asset at Insurellm, contributing significantly to innovative backe...", + "Type: contracts
Text: **Belvedere Insurance** \nSignature: ______________________ \nName: [Authorized Signatory] \nTitle: ...", + "Type: contracts
Text: ## Support\n\n1. **Customer Support**: Insurellm will provide 24/7 customer support to TechDrive Insur...", + "Type: employees
Text: # HR Record\n\n# Jordan K. Bishop\n\n## Summary\n- **Date of Birth:** March 15, 1990\n- **Job Title:** Fro...", + "Type: contracts
Text: 3. **Service Level Agreement (SLA):** \n Insurellm commits to a 99.9% uptime for the platform with...", + "Type: products
Text: ### Q2 2025: Customer Experience Improvements\n- Launch of a new **mobile app** for end-users.\n- Intr...", + "Type: contracts
Text: ## Renewal\n1. **Renewal Terms**: At the end of the initial term, this Contract shall automatically r...", + "Type: contracts
Text: # Contract with BrightWay Solutions for Markellm\n\n**Contract Date:** October 5, 2023 \n**Contract ID...", + "Type: contracts
Text: ## Renewal\n\n1. **Automatic Renewal**: This Agreement will automatically renew for successive one-yea...", + "Type: contracts
Text: ## Support\n1. **Customer Support Access**: The Client will have access to dedicated support through ...", + "Type: contracts
Text: 1. **Core Functionality**: Rellm provides EverGuard Insurance with advanced AI-driven analytics, sea...", + "Type: employees
Text: ## Annual Performance History\n- **2018**: **3/5** - Adaptable team player but still learning to take...", + "Type: employees
Text: - **Engagement in Company Culture:** Regularly participates in team-building events and contributes ...", + "Type: contracts
Text: # Contract with GreenField Holdings for Markellm\n\n**Effective Date:** November 15, 2023 \n**Contract...", + "Type: employees
Text: - **2022**: **Satisfactory** \n Avery focused on rebuilding team dynamics and addressing employee c...", + "Type: products
Text: # Product Summary\n\n# Markellm\n\n## Summary\n\nMarkellm is an innovative two-sided marketplace designed ...", + "Type: employees
Text: ## Annual Performance History\n- **2023:** Rating: 4.5/5 \n *Samuel exceeded expectations, successfu...", + "Type: contracts
Text: # Contract with GreenValley Insurance for Homellm\n\n**Contract Date:** October 6, 2023 \n**Contract N...", + "Type: employees
Text: ## Compensation History\n- **2017**: $70,000 (Junior Data Engineer) \n- **2018**: $75,000 (Junior Dat...", + "Type: products
Text: - **Basic Tier:** Starting at $5,000/month for small insurers with basic integration features.\n- **S...", + "Type: employees
Text: # HR Record\n\n# Samuel Trenton\n\n## Summary\n- **Date of Birth:** April 12, 1989 \n- **Job Title:** Sen...", + "Type: contracts
Text: 2. **Real-Time Quote Availability:** \n Consumers sourced via BrightWay Solutions will receive rea...", + "Type: contracts
Text: ## Features\n1. **AI-Powered Matching**: Access to advanced algorithms that connect GreenField Holdin...", + "Type: contracts
Text: ## Renewal\n1. **Automatic Renewal**: This contract will automatically renew for sequential one-year ...", + "Type: employees
Text: - **2018**: **Exceeds Expectations** \n Under Avery’s pivoted vision, Insurellm launched two new su...", + "Type: company
Text: # Careers at Insurellm\n\nInsurellm is hiring! We are looking for talented software engineers, data sc...", + "Type: employees
Text: # HR Record\n\n# Jordan Blake\n\n## Summary\n- **Date of Birth:** March 15, 1993 \n- **Job Title:** Sales...", + "Type: contracts
Text: # Contract with Pinnacle Insurance Co. for Homellm\n\n## Terms\nThis contract (\"Contract\") is entered i...", + "Type: products
Text: ### For Insurance Companies:\n- **Basic Listing Fee**: $199/month for a featured listing on the platf...", + "Type: contracts
Text: ## Renewal\n1. **Renewal Terms**: This Agreement may be renewed for additional one-year terms upon mu...", + "Type: contracts
Text: ## Renewal\n\n1. **Automatic Renewal**: This contract will automatically renew for successive 12-month...", + "Type: employees
Text: ## Annual Performance History\n- **2020:** \n - Completed onboarding successfully. \n - Met expecta...", + "Type: employees
Text: # HR Record\n\n# Alex Thomson\n\n## Summary\n- **Date of Birth:** March 15, 1995 \n- **Job Title:** Sales...", + "Type: products
Text: # Product Summary\n\n# Homellm\n\n## Summary\nHomellm is an innovative home insurance product developed b...", + "Type: contracts
Text: **Signatures:** \n_________________________ _________________________ \n**...", + "Type: contracts
Text: ## Support\n1. **Technical Support**: Technical support will be available from 9 AM to 7 PM EST, Mond...", + "Type: contracts
Text: - **Customer Portal**: A dedicated portal will be provided, allowing the Customer's clients to manag...", + "Type: contracts
Text: # Contract with Velocity Auto Solutions for Carllm\n\n**Contract Date:** October 1, 2023 \n**Contract ...", + "Type: employees
Text: ## Other HR Notes\n- **Professional Development**: Avery has actively participated in leadership trai...", + "Type: employees
Text: # HR Record\n\n# Oliver Spencer\n\n## Summary\n- **Date of Birth**: May 14, 1990 \n- **Job Title**: Backe...", + "Type: employees
Text: - **2021**: *Exceeds Expectations* \n Maxine spearheaded the transition to a new data warehousing s...", + "Type: products
Text: With Homellm, Insurellm is committed to transforming the landscape of home insurance, ensuring both ...", + "Type: employees
Text: ## Compensation History\n- **2020:** Base Salary - $55,000 \n The entry-level salary matched industr...", + "Type: employees
Text: # Avery Lancaster\n\n## Summary\n- **Date of Birth**: March 15, 1985 \n- **Job Title**: Co-Founder & Ch...", + "Type: contracts
Text: ---\n\n## Renewal\n\n1. **Automatic Renewal**: This agreement will automatically renew for an additional...", + "Type: employees
Text: ## Other HR Notes\n- Jordan has shown an interest in continuing education, actively participating in ...", + "Type: contracts
Text: ## Features\n1. **AI-Powered Risk Assessment**: Utilized for tailored underwriting decisions specific...", + "Type: products
Text: ### Q3 2025\n- Initiate a comprehensive marketing campaign targeting both consumers and insurers to i...", + "Type: contracts
Text: ## Support\n\n1. **Customer Support**: Velocity Auto Solutions will have access to Insurellm’s custome...", + "Type: employees
Text: # HR Record\n\n# Alex Harper\n\n## Summary\n- **Date of Birth**: March 15, 1993 \n- **Job Title**: Sales ...", + "Type: products
Text: # Product Summary\n\n# Rellm: AI-Powered Enterprise Reinsurance Solution\n\n## Summary\n\nRellm is an inno...", + "Type: employees
Text: - **2021**: \n - Performance Rating: Meets Expectations \n - Key Achievements: Contributed to the ...", + "Type: contracts
Text: ## Features\n1. **AI-Powered Matching**: Belvedere Insurance will benefit from Markellm's AI-powered ...", + "Type: products
Text: ### Seamless Integrations\nRellm's architecture is designed for effortless integration with existing ...", + "Type: employees
Text: - **2017-2019:** Marketing Intern \n - Assisted with market research and campaign development for s...", + "Type: employees
Text: # HR Record\n\n# Emily Tran\n\n## Summary\n- **Date of Birth:** March 18, 1991 \n- **Job Title:** Digital...", + "Type: employees
Text: ## Insurellm Career Progression\n- **January 2017 - October 2018**: **Junior Data Engineer** \n * Ma...", + "Type: products
Text: ### 2. Dynamic Pricing Model\nWith Homellm's innovative dynamic pricing model, insurance providers ca...", + "Type: products
Text: - **Mobile Integration**: Carllm is designed to work seamlessly with mobile applications, providing ...", + "Type: contracts
Text: **Insurellm, Inc.** \n_____________________________ \nAuthorized Signature \nDate: ________________...", + "Type: contracts
Text: ---\n\n**Signatures** \n**For Insurellm**: __________________________ \n**Name**: John Smith \n**Title...", + "Type: products
Text: Join the growing number of organizations leveraging Rellm to enhance their reinsurance processes whi...", + "Type: employees
Text: ## Annual Performance History\n- **2017**: *Meets Expectations* \n Maxine showed potential in her ro...", + "Type: employees
Text: # Samantha Greene\n\n## Summary\n- **Date of Birth:** October 14, 1990\n- **Job Title:** HR Generalist\n-...", + "Type: employees
Text: ## Compensation History\n- **2023:** Base Salary: $115,000 + Bonus: $15,000 \n *Annual bonus based o...", + "Type: contracts
Text: # Contract with Greenstone Insurance for Homellm\n\n---\n\n## Terms\n\n1. **Parties**: This Contract (\"Agr...", + "Type: employees
Text: ## Other HR Notes\n- Alex Thomson is an active member of the Diversity and Inclusion committee at Ins...", + "Type: products
Text: - **Customer Support**: Our dedicated support team is always available to assist both consumers and ...", + "Type: contracts
Text: 4. **Confidentiality:** Both parties agree to maintain the confidentiality of proprietary informatio...", + "Type: contracts
Text: **TechDrive Insurance Representative:** \nName: Sarah Johnson \nTitle: Operations Director \nDate: _...", + "Type: contracts
Text: 4. **Usage Rights**: EverGuard Insurance is granted a non-exclusive, non-transferable license to acc...", + "Type: products
Text: ### 5. Multi-Channel Integration\nHomellm seamlessly integrates into existing insurance platforms, pr...", + "Type: employees
Text: ## Compensation History\n| Year | Base Salary | Bonus | Total Compensation |\n|------|--------...", + "Type: company
Text: # Overview of Insurellm\n\nInsurellm is an innovative insurance tech firm with 200 employees across th...", + "Type: contracts
Text: 1. **Technical Support**: Provider shall offer dedicated technical support to the Client via phone, ..." + ], + "type": "scatter3d", + "x": [ + 41.750866, + -28.82558, + -49.46155, + -14.781235, + 3.2925687, + -38.860855, + -67.45323, + 38.444588, + -17.339252, + -11.428553, + 12.002091, + 88.38842, + 10.698732, + 3.1593003, + 84.658554, + -47.35824, + 84.1879, + -87.41901, + -71.91026, + 172.51678, + 17.656895, + 3.95993, + 86.745514, + 81.50416, + -57.501205, + -50.69299, + 40.582718, + -46.309544, + -31.67646, + -75.1455, + 59.18587, + 3.367395, + 19.897453, + -95.431076, + -51.707855, + 17.18865, + 93.832855, + 65.19243, + -71.37873, + 39.42858, + 13.105226, + 35.19745, + -64.18027, + 45.774452, + -1.5766183, + 44.493168, + 65.48207, + 35.590073, + -54.5107, + 73.169464, + -11.059894, + 17.857668, + -38.42094, + -55.742943, + 28.378313, + -25.534872, + -21.318537, + -5.824397, + 73.97905, + -66.29079, + -99.821754, + 53.327194, + -16.738876, + -11.827804, + -80.52663, + 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Let's try 3D!\n", + "\n", + "tsne = TSNE(n_components=3, random_state=42)\n", + "reduced_vectors = tsne.fit_transform(vectors)\n", + "\n", + "# Create the 3D scatter plot\n", + "fig = go.Figure(data=[go.Scatter3d(\n", + " x=reduced_vectors[:, 0],\n", + " y=reduced_vectors[:, 1],\n", + " z=reduced_vectors[:, 2],\n", + " mode='markers',\n", + " marker=dict(size=5, color=colors, opacity=0.8),\n", + " text=[f\"Type: {t}
Text: {d[:100]}...\" for t, d in zip(doc_types, documents)],\n", + " hoverinfo='text'\n", + ")])\n", + "\n", + "fig.update_layout(\n", + " title='3D Chroma Vector Store Visualization',\n", + " scene=dict(xaxis_title='x', yaxis_title='y', zaxis_title='z'),\n", + " width=900,\n", + " height=700,\n", + " margin=dict(r=20, b=10, l=10, t=40)\n", + ")\n", + "\n", + "fig.show()" + ] + }, + { + "cell_type": "markdown", + "id": "9468860b-86a2-41df-af01-b2400cc985be", + "metadata": {}, + "source": [ + "## Time to use LangChain to bring it all together" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "129c7d1e-0094-4479-9459-f9360b95f244", + "metadata": {}, + "outputs": [], + "source": [ + "# create a new Chat with OpenAI\n", + "llm = ChatOpenAI(temperature=0.7, model_name=MODEL)\n", + "\n", + "# set up the conversation memory for the chat\n", + "memory = ConversationBufferMemory(memory_key='chat_history', return_messages=True)\n", + "\n", + "# the retriever is an abstraction over the VectorStore that will be used during RAG\n", + "retriever = vectorstore.as_retriever()\n", + "\n", + "# putting it together: set up the conversation chain with the GPT 3.5 LLM, the vector store and memory\n", + "conversation_chain = ConversationalRetrievalChain.from_llm(llm=llm, retriever=retriever, memory=memory)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "968e7bf2-e862-4679-a11f-6c1efb6ec8ca", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Insurellm is an innovative insurance tech startup founded in 2015 by Avery Lancaster, designed to disrupt the insurance industry with advanced software products. It offers solutions such as Carllm for auto insurance, Homellm for home insurance, Rellm for reinsurance, and Marketllm, a marketplace connecting consumers with insurance providers, and has expanded to serve over 300 clients worldwide with 200 employees across the US.\n" + ] + } + ], + "source": [ + "# Let's try a simple question\n", + "\n", + "query = \"Please explain what Insurellm is in a couple of sentences\"\n", + "result = conversation_chain.invoke({\"question\": query})\n", + "print(result[\"answer\"])" + ] + }, + { + "cell_type": "markdown", + "id": "bbbcb659-13ce-47ab-8a5e-01b930494964", + "metadata": {}, + "source": [ + "## Now we will bring this up in Gradio using the Chat interface -\n", + "\n", + "A quick and easy way to prototype a chat with an LLM" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "c3536590-85c7-4155-bd87-ae78a1467670", + "metadata": {}, + "outputs": [], + "source": [ + "# Wrapping that in a function\n", + "\n", + "def chat(question, history):\n", + " result = conversation_chain.invoke({\"question\": question})\n", + " return result[\"answer\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "b252d8c1-61a8-406d-b57a-8f708a62b014", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Running on local URL: http://127.0.0.1:7862\n", + "\n", + "To create a public link, set `share=True` in `launch()`.\n" + ] + }, + { + "data": { + "text/html": [ + "
" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# And in Gradio:\n", + "\n", + "view = gr.ChatInterface(chat).launch()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "b55e9abb-e1da-46c5-acba-911868aee329", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "\n", + "\u001b[1m> Entering new ConversationalRetrievalChain chain...\u001b[0m\n", + "\n", + "\n", + "\u001b[1m> Entering new StuffDocumentsChain chain...\u001b[0m\n", + "\n", + "\n", + "\u001b[1m> Entering new LLMChain chain...\u001b[0m\n", + "Prompt after formatting:\n", + "\u001b[32;1m\u001b[1;3mSystem: Use the following pieces of context to answer the user's question. \n", + "If you don't know the answer, just say that you don't know, don't try to make up an answer.\n", + "----------------\n", + "- **2022**: **Satisfactory** \n", + " Avery focused on rebuilding team dynamics and addressing employee concerns, leading to overall improvement despite a saturated market. \n", + "\n", + "- **2023**: **Exceeds Expectations** \n", + " Market leadership was regained with innovative approaches to personalized insurance solutions. Avery is now recognized in industry publications as a leading voice in Insurance Tech innovation.\n", + "\n", + "## Annual Performance History\n", + "- **2020:** \n", + " - Completed onboarding successfully. \n", + " - Met expectations in delivering project milestones. \n", + " - Received positive feedback from the team leads.\n", + "\n", + "- **2021:** \n", + " - Achieved a 95% success rate in project delivery timelines. \n", + " - Awarded \"Rising Star\" at the annual company gala for outstanding contributions. \n", + "\n", + "- **2022:** \n", + " - Exceeded goals by optimizing existing backend code, improving system performance by 25%. \n", + " - Conducted training sessions for junior developers, fostering knowledge sharing. \n", + "\n", + "- **2023:** \n", + " - Led a major overhaul of the API internal architecture, enhancing security protocols. \n", + " - Contributed to the company’s transition to a cloud-based infrastructure. \n", + " - Received an overall performance rating of 4.8/5.\n", + "\n", + "## Annual Performance History\n", + "- **2018**: **3/5** - Adaptable team player but still learning to take initiative.\n", + "- **2019**: **4/5** - Demonstrated strong problem-solving skills, outstanding contribution on the claims project.\n", + "- **2020**: **2/5** - Struggled with time management; fell behind on deadlines during a high-traffic release period.\n", + "- **2021**: **4/5** - Made a significant turnaround with organized work habits and successful project management.\n", + "- **2022**: **5/5** - Exceptional performance during the \"Innovate\" initiative, showcasing leadership and creativity.\n", + "- **2023**: **3/5** - Maintaining steady work; expectations for innovation not fully met, leading to discussions about goals.\n", + "\n", + "## Annual Performance History\n", + "- **2023:** Rating: 4.5/5 \n", + " *Samuel exceeded expectations, successfully leading a cross-departmental project on AI-driven underwriting processes.*\n", + "\n", + "- **2022:** Rating: 3.0/5 \n", + " *Some challenges in meeting deadlines and collaboration with the engineering team. Received constructive feedback and participated in a team communication workshop.*\n", + "\n", + "- **2021:** Rating: 4.0/5 \n", + " *There was notable improvement in performance. Worked to enhance model accuracy, leading to improved risk assessment outcomes for B2C customers.*\n", + "\n", + "- **2020:** Rating: 3.5/5 \n", + " *Exhibited a solid performance during the initial year as a Senior Data Scientist but had struggles adapting to new leadership expectations.*\n", + "\n", + "## Compensation History\n", + "- **2023:** Base Salary: $115,000 + Bonus: $15,000 \n", + " *Annual bonus based on successful project completions and performance metrics.*\n", + "Human: Who received the prestigious IIOTY award in 2023?\u001b[0m\n", + "\n", + "\u001b[1m> Finished chain.\u001b[0m\n", + "\n", + "\u001b[1m> Finished chain.\u001b[0m\n", + "\n", + "\u001b[1m> Finished chain.\u001b[0m\n", + "\n", + "Answer: I don't know.\n" + ] + } + ], + "source": [ + "# Let's investigate what gets sent behind the scenes\n", + "\n", + "from langchain_core.callbacks import StdOutCallbackHandler\n", + "\n", + "llm = ChatOpenAI(temperature=0.7, model_name=MODEL)\n", + "\n", + "memory = ConversationBufferMemory(memory_key='chat_history', return_messages=True)\n", + "\n", + "retriever = vectorstore.as_retriever()\n", + "\n", + "conversation_chain = ConversationalRetrievalChain.from_llm(llm=llm, retriever=retriever, memory=memory, callbacks=[StdOutCallbackHandler()])\n", + "\n", + "query = \"Who received the prestigious IIOTY award in 2023?\"\n", + "result = conversation_chain.invoke({\"question\": query})\n", + "answer = result[\"answer\"]\n", + "print(\"\\nAnswer:\", answer)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "2136153b-d2f6-4c58-a0e3-78c3a932cf55", + "metadata": {}, + "outputs": [], + "source": [ + "# create a new Chat with OpenAI\n", + "llm = ChatOpenAI(temperature=0.7, model_name=MODEL)\n", + "\n", + "# set up the conversation memory for the chat\n", + "memory = ConversationBufferMemory(memory_key='chat_history', return_messages=True)\n", + "\n", + "# the retriever is an abstraction over the VectorStore that will be used during RAG; k is how many chunks to use\n", + "retriever = vectorstore.as_retriever(search_kwargs={\"k\": 25})\n", + "\n", + "# putting it together: set up the conversation chain with the GPT 3.5 LLM, the vector store and memory\n", + "conversation_chain = ConversationalRetrievalChain.from_llm(llm=llm, retriever=retriever, memory=memory)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "5c2bfa3c-810b-441b-90d1-31533f14b1e3", + "metadata": {}, + "outputs": [], + "source": [ + "def chat(question, history):\n", + " result = conversation_chain.invoke({\"question\": question})\n", + " return result[\"answer\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "c736f33b-941e-4853-8eaf-2003bd988b18", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Running on local URL: http://127.0.0.1:7863\n", + "\n", + "To create a public link, set `share=True` in `launch()`.\n" + ] + }, + { + "data": { + "text/html": [ + "
" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "view = gr.ChatInterface(chat).launch()" + ] + }, + { + "cell_type": "markdown", + "id": "644753e7-17f3-4999-a37a-b6aebf1e4579", + "metadata": {}, + "source": [ + "# Exercises\n", + "\n", + "Try applying this to your own folder of data, so that you create a personal knowledge worker, an expert on your own information!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "30b4745a-0a6c-4544-b78b-c827cfec1fb9", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/week5/knowledge-base/company/about.md b/week5/knowledge-base/company/about.md new file mode 100644 index 0000000..7ad4a11 --- /dev/null +++ b/week5/knowledge-base/company/about.md @@ -0,0 +1,4 @@ +# About Insurellm + +Insurellm was founded by Avery Lancaster in 2015 as an insurance tech startup designed to disrupt an industry in need of innovative products. It's first product was Markellm, the marketplace connecting consumers with insurance providers. +It rapidly expanded, adding new products and clients, reaching 200 emmployees by 2024 with 12 offices across the US. \ No newline at end of file diff --git a/week5/knowledge-base/company/careers.md b/week5/knowledge-base/company/careers.md new file mode 100644 index 0000000..4a61822 --- /dev/null +++ b/week5/knowledge-base/company/careers.md @@ -0,0 +1,3 @@ +# Careers at Insurellm + +Insurellm is hiring! We are looking for talented software engineers, data scientists and account executives to join our growing team. Come be a part of our movement to disrupt the insurance sector. \ No newline at end of file diff --git a/week5/knowledge-base/company/overview.md b/week5/knowledge-base/company/overview.md new file mode 100644 index 0000000..abf7316 --- /dev/null +++ b/week5/knowledge-base/company/overview.md @@ -0,0 +1,10 @@ +# Overview of Insurellm + +Insurellm is an innovative insurance tech firm with 200 employees across the US. +Insurellm offers 4 insurance software products: +- Carllm, a portal for auto insurance companies +- Homellm, a portal for home insurance companies +- Rellm, an enterprise platform for the reinsurance sector +- Marketllm, a marketplace for connecting consumers with insurance providers + +Insurellm has more than 300 clients worldwide. \ No newline at end of file diff --git a/week5/knowledge-base/contracts/.md b/week5/knowledge-base/contracts/.md new file mode 100644 index 0000000..16e4c14 --- /dev/null +++ b/week5/knowledge-base/contracts/.md @@ -0,0 +1,63 @@ + +# Contract Agreement + +**Client Name**: Premier Auto Insurance Co. +**Product Name**: Carllm + +--- + +## Terms + +1. **Agreement Duration**: This contract is effective from January 1, 2025, and shall remain in effect for a period of twelve (12) months, concluding on December 31, 2025. +2. **Payment**: The Client agrees to pay Insurellm a subscription fee of $2,500 per month for the duration of the contract, payable within 30 days of the invoice date. +3. **Scope of Services**: The services provided under this contract include access to the Carllm platform, integration support, AI-powered risk assessment tools, customizable coverage plans, and automated customer support. +4. **Data Security**: Insurellm commits to implementing industry-standard security measures to protect Client data, in accordance with applicable privacy laws. + +--- + +## Renewal + +1. **Automatic Renewal**: This contract will automatically renew for successive one-year terms unless either party provides written notice of termination at least thirty (30) days prior to the end of the current term. +2. **Renewal Terms**: Upon renewal, the subscription fee may be subject to adjustments based on changes in the Consumer Price Index or any significant value additions to the service. +3. **Review Period**: Prior to the renewal, both parties shall engage in a service review to ensure the satisfaction of both parties with the terms and performance of Carllm. + +--- + +## Features + +1. **AI-Powered Risk Assessment**: Comprehensive tools that analyze driver behavior and vehicle conditions. +2. **Instant Quoting**: Near-instant quotes provided for enhanced customer experience. +3. **Customizable Coverage Plans**: Flexibility to create tailored insurance packages. +4. **Fraud Detection**: Advanced analytics to help identify potentially fraudulent claims. +5. **Customer Insights Dashboard**: Access to deep insights for informed decision-making. +6. **Mobile Integration**: Mobile app compatibility for policy management on the go. +7. **Automated Customer Support**: 24/7 customer service via AI chatbots. + +--- + +## Support + +1. **Customer Support Availability**: Insurellm shall provide technical support to the Client via phone and email during standard business hours (9 AM - 5 PM ET, Monday to Friday). +2. **Emergency Support**: Emergency support will be available 24/7 for critical issues impacting the Client’s operations, response time not to exceed 2 hours. +3. **Training and Resources**: Insurellm will provide training materials and sessions to ensure successful deployment and use of Carllm. +4. **Feedback and Updates**: The Client will have regular opportunities to provide feedback on service performance. Updates and new features will be communicated promptly. + +--- + +This contract represents the complete understanding between the parties concerning the subject matter herein and supersedes all prior agreements and understandings, whether written or oral. + +**Authorized Signatures**: + +*Premier Auto Insurance Co.* +_________________________ +Name: [Client Representative Name] +Title: [Client Representative Title] +Date: ________________ + +*Insurellm* +_________________________ +Name: [Insurellm Representative Name] +Title: [Insurellm Representative Title] +Date: ________________ + +--- diff --git a/week5/knowledge-base/contracts/Contract with Apex Reinsurance for Rellm: AI-Powered Enterprise Reinsurance Solution.md b/week5/knowledge-base/contracts/Contract with Apex Reinsurance for Rellm: AI-Powered Enterprise Reinsurance Solution.md new file mode 100644 index 0000000..a95ac67 --- /dev/null +++ b/week5/knowledge-base/contracts/Contract with Apex Reinsurance for Rellm: AI-Powered Enterprise Reinsurance Solution.md @@ -0,0 +1,53 @@ +# Contract with Apex Reinsurance for Rellm: AI-Powered Enterprise Reinsurance Solution + +## Terms + +1. **Parties Involved**: This contract (“Agreement”) is entered into between Insurellm, Inc. (“Provider”) and Apex Reinsurance (“Client”) on this [Date]. + +2. **Scope of Services**: Provider agrees to deliver the Rellm solution, which includes AI-driven analytics, seamless integrations, risk assessment modules, customizable dashboards, regulatory compliance tools, and client and broker portals as described in the product summary. + +3. **Payment Terms**: Client shall pay the Provider the sum of $10,000 per month for the duration of this agreement. Payments are due on the first day of each month and will be processed via electronic funds transfer. + +4. **Contract Duration**: This Agreement shall commence on [Start Date] and shall remain in effect for a period of twelve (12) months unless terminated earlier in accordance with the terms set forth herein. + +## Renewal + +1. **Automatic Renewal**: This Agreement will automatically renew for successive one-year terms unless either party provides a written notice of intent to terminate at least thirty (30) days prior to the expiration of the current term. + +2. **Renewal Pricing**: Upon renewal, the pricing may be subject to adjustment by the Provider. The Provider will give a minimum of sixty (60) days’ notice of any changes in pricing. + +## Features + +1. **AI-Driven Analytics**: The Rellm platform will utilize AI algorithms to provide predictive insights into risk exposures, allowing the Client to make informed decisions with real-time data analysis. + +2. **Seamless Integrations**: The architecture of Rellm allows for easy integration with existing systems used by the Client, including policy management and claims processing. + +3. **Customizable Dashboard**: The dashboard will be tailored to display metrics specific to the Client's operational needs, enhancing productivity and facilitating more efficient data access. + +4. **Regulatory Compliance**: The solution will include compliance tracking features to assist the Client in maintaining adherence to relevant regulations. + +5. **Dedicated Client Portal**: A portal for the Client will facilitate real-time communication and document sharing, ensuring seamless collaboration throughout the partnership. + +## Support + +1. **Technical Support**: Provider shall offer dedicated technical support to the Client via phone, email, and a ticketing system during business hours (Monday to Friday, 9 AM to 5 PM EST). + +2. **Training and Onboarding**: Provider will deliver comprehensive onboarding training for up to ten (10) members of the Client's staff to ensure effective use of the Rellm solution. + +3. **Updates and Maintenance**: Provider is responsible for providing updates to the Rellm platform to improve functionality and security, at no additional cost to the Client. + +4. **Escalation Protocol**: Issues that cannot be resolved at the first level of support will be escalated to the senior support team, ensuring that critical concerns are addressed promptly. + +--- + +**Acceptance of Terms**: By signing below, both parties agree to the Terms, Renewal, Features, and Support outlined in this Agreement. + +**Insurellm, Inc.** +_____________________________ +Authorized Signature +Date: ___________________ + +**Apex Reinsurance** +_____________________________ +Authorized Signature +Date: ___________________ \ No newline at end of file diff --git a/week5/knowledge-base/contracts/Contract with Belvedere Insurance for Markellm.md b/week5/knowledge-base/contracts/Contract with Belvedere Insurance for Markellm.md new file mode 100644 index 0000000..50c0ed4 --- /dev/null +++ b/week5/knowledge-base/contracts/Contract with Belvedere Insurance for Markellm.md @@ -0,0 +1,43 @@ +# Contract with Belvedere Insurance for Markellm + +## Terms +This Contract ("Agreement") is made and entered into as of [Date] by and between Insurellm, Inc., a corporation registered in the United States, ("Provider") and Belvedere Insurance, ("Client"). + +1. **Service Commencement**: The services described herein will commence on [Start Date]. +2. **Contract Duration**: This Agreement shall remain in effect for a period of 1 year from the Commencement Date, unless terminated earlier in accordance with the termination clause of this Agreement. +3. **Fees**: Client agrees to pay a Basic Listing Fee of $199/month for accessing the Markellm platform along with a performance-based pricing of $25 per lead generated. +4. **Payment Terms**: Payments shall be made monthly, in advance, with invoices issued on the 1st of each month, payable within 15 days of receipt. + +## Renewal +1. **Renewal Terms**: This Agreement may be renewed for additional one-year terms upon mutual written consent of both parties no later than 30 days before the end of the current term. +2. **Fee Adjustments**: Any changes to the fees or terms will be communicated in writing at least 60 days prior to the renewal date. + +## Features +1. **AI-Powered Matching**: Belvedere Insurance will benefit from Markellm's AI-powered matching, ensuring the best-fit customers are identified and connected. +2. **Real-Time Quotes**: Access to real-time quotes will enhance the customer acquisition process, facilitating timely and informed decision-making. +3. **Data Insights**: Client shall have access to Markellm's analytics dashboard, allowing insights into consumer behavior and market trends. +4. **Customization Options**: Belvedere Insurance can leverage optional premium features and analytics upon payment of an additional $9.99/month. +5. **Customer Support**: Insurellm will provide dedicated support to Belvedere Insurance, ensuring any issues or queries are promptly addressed. + +## Support +1. **Technical Support**: Technical support will be available from 9 AM to 7 PM EST, Monday through Friday via email and phone. +2. **Response Times**: Insurellm agrees to respond to all support queries within 24 business hours. Emergency support will be prioritized throughout the contract period. +3. **Training**: Insurellm will offer a comprehensive training session for the Client’s staff upon beginning the service to ensure effective utilization of the features. + +## Acceptance +By signing below, the parties agree to the terms of this Agreement. + +**Insurellm, Inc.** +Signature: ______________________ +Name: [Authorized Signatory] +Title: [Title] +Date: ______________________ + +**Belvedere Insurance** +Signature: ______________________ +Name: [Authorized Signatory] +Title: [Title] +Date: ______________________ + +--- +This synthetic contract document outlines a fictional agreement between Insurellm and a fictional insurance client, Belvedere Insurance, which engages with the Markellm platform. The contract contains creative yet realistic terms for potential use in training and development in insurance technology scenarios. \ No newline at end of file diff --git a/week5/knowledge-base/contracts/Contract with BrightWay Solutions for Markellm.md b/week5/knowledge-base/contracts/Contract with BrightWay Solutions for Markellm.md new file mode 100644 index 0000000..3371dc1 --- /dev/null +++ b/week5/knowledge-base/contracts/Contract with BrightWay Solutions for Markellm.md @@ -0,0 +1,63 @@ +# Contract with BrightWay Solutions for Markellm + +**Contract Date:** October 5, 2023 +**Contract ID:** INS-2023-0092 + +### Terms +This contract (“Contract”) is made between Insurellm, a company incorporated in the United States, and BrightWay Solutions, a technology provider specializing in insurance services. + +1. **Scope of Services:** + Insurellm shall provide BrightWay Solutions access to the Markellm platform under the agreed pricing structure for a duration of one year from the effective date. + +2. **Payment Terms:** + BrightWay Solutions agrees to pay an initial setup fee of $1,000 for integration services, followed by the Basic Listing Fee of $199 per month for featured listing on Markellm. Payment shall be made within 30 days of invoice. + +3. **Service Level Agreement (SLA):** + Insurellm commits to a 99.9% uptime for the platform with dedicated support response times not exceeding 4 business hours. + +### Renewal +1. **Automatic Renewal:** + This Contract will automatically renew for additional one-year terms unless either party provides a written notice of intent to terminate at least 30 days prior to the renewal date. + +2. **Review Period:** + Both parties will enter a review period each year, during which they will discuss potential amendments to the pricing or contract terms based on market conditions and performance metrics. + +### Features +1. **Access to AI-Powered Matching:** + BrightWay Solutions will benefit from the AI algorithms for optimal customer matches, helping them connect with consumers looking for their specific insurance offerings. + +2. **Real-Time Quote Availability:** + Consumers sourced via BrightWay Solutions will receive real-time quotes, allowing for a seamless customer experience. + +3. **Analytics Dashboard:** + Access to Markellm’s analytics dashboard will provide BrightWay Solutions with insights into consumer behavior and market trends, assisting them in refining their insurance offerings. + +4. **Customization Options:** + BrightWay Solutions may request customizations to their listing page on Markellm, within the capabilities of the platform. + +### Support +1. **Dedicated Customer Support:** + BrightWay Solutions will have access to a dedicated support team from Insurellm during standard business hours (9 AM - 7 PM EST). + +2. **Additional Support Services:** + Technical support for integration and maintenance will be available. An optional premium support package can be purchased for $49.99/month, which includes 24/7 support and advanced troubleshooting. + +3. **Training and Onboarding:** + Insurellm agrees to provide one free training session on how to utilize the Markellm platform effectively for BrightWay Solutions’ team upon contract signing. + +### Signatures +By signing below, both parties agree to the terms and conditions outlined in this Contract. + +__________________________ +**[Name], [Title]** +**Insurellm** +Date: ______________________ + +__________________________ +**[Name], [Title]** +**BrightWay Solutions** +Date: ______________________ + +--- + +This document serves as a formal agreement between Insurellm and BrightWay Solutions, ensuring a successful partnership focused on enhancing the insurance shopping experience for consumers. \ No newline at end of file diff --git a/week5/knowledge-base/contracts/Contract with EverGuard Insurance for Rellm: AI-Powered Enterprise Reinsurance Solution.md b/week5/knowledge-base/contracts/Contract with EverGuard Insurance for Rellm: AI-Powered Enterprise Reinsurance Solution.md new file mode 100644 index 0000000..5fd6626 --- /dev/null +++ b/week5/knowledge-base/contracts/Contract with EverGuard Insurance for Rellm: AI-Powered Enterprise Reinsurance Solution.md @@ -0,0 +1,58 @@ +# Contract with EverGuard Insurance for Rellm: AI-Powered Enterprise Reinsurance Solution + +**Contract Number:** IG-2023-EG +**Effective Date:** January 1, 2024 +**Expiration Date:** December 31, 2026 + +## Terms + +1. **Parties**: This agreement is made between Insurellm, located at 123 Innovation Drive, Tech City, USA, and EverGuard Insurance, located at 456 Safety Lane, Protectville, USA. + +2. **Product Description**: This contract pertains to the use of the Rellm platform, an AI-powered enterprise reinsurance solution provided by Insurellm. EverGuard Insurance will implement Rellm to enhance its reinsurance operations. + +3. **Payment Terms**: EverGuard Insurance agrees to pay Insurellm a monthly fee of $10,000 for the duration of this contract, covering the Professional Plan features of Rellm, which includes all advanced integrations and priority customer support. + +4. **Usage Rights**: EverGuard Insurance is granted a non-exclusive, non-transferable license to access and use Rellm for the duration of this contract. Unauthorized sharing or distribution is strictly prohibited. + +## Renewal + +1. **Automatic Renewal**: This contract will automatically renew for successive one-year terms unless either party provides written notice of termination at least 60 days prior to the expiration date. + +2. **Price Adjustment**: In the event of a renewal, Insurellm reserves the right to adjust the monthly fee based on market conditions and the value of services offered, with a minimum notice of 30 days. + +## Features + +1. **Core Functionality**: Rellm provides EverGuard Insurance with advanced AI-driven analytics, seamless integrations, and a comprehensive risk assessment module designed to optimize risk management. + +2. **Customizable Dashboard**: Users at EverGuard Insurance will have access to a customizable dashboard that allows them to tailor their experience based on their specific operational metrics. + +3. **Compliance Tools**: The built-in regulatory compliance tools will ensure that EverGuard Insurance meets industry standards while managing its reinsurance practices. + +4. **Client Portal Access**: EverGuard Insurance will have access to both client and broker portals, enhancing communication and collaboration with its partners. + +## Support + +1. **Customer Support**: Insurellm will provide EverGuard Insurance with 24/7 customer support, including live chat, email, and phone assistance for any technical issues or inquiries regarding Rellm. + +2. **Training Services**: Insurellm will provide initial training for EverGuard Insurance staff to ensure proper utilization of Rellm features. Additional training sessions can be scheduled upon request at an agreed fee. + +3. **Updates and Upgrades**: EverGuard Insurance will receive all platform updates and upgrades at no additional cost during the contract term, including enhancements outlined in Insurellm’s 2025-2026 roadmap. + +4. **Feedback Mechanisms**: EverGuard Insurance is encouraged to provide feedback regarding Rellm’s functionalities and any desired features, which will be considered for future updates. + +--- + +**Signatures** +**For Insurellm**: __________________________ +**Name**: John Smith +**Title**: Chief Operating Officer +**Date**: _________________ + +**For EverGuard Insurance**: __________________________ +**Name**: Sarah Johnson +**Title**: Chief Executive Officer +**Date**: _________________ + +--- + +This contract seeks to foster a strong partnership between Insurellm and EverGuard Insurance, leveraging Rellm to innovate and enhance reinsurance capabilities while ensuring mutual growth and compliance in the ever-evolving insurance landscape. \ No newline at end of file diff --git a/week5/knowledge-base/contracts/Contract with GreenField Holdings for Markellm.md b/week5/knowledge-base/contracts/Contract with GreenField Holdings for Markellm.md new file mode 100644 index 0000000..6786a07 --- /dev/null +++ b/week5/knowledge-base/contracts/Contract with GreenField Holdings for Markellm.md @@ -0,0 +1,34 @@ +# Contract with GreenField Holdings for Markellm + +**Effective Date:** November 15, 2023 +**Contract Duration:** 12 months + +## Terms +1. **Parties to the Agreement**: This contract is entered into between Insurellm, hereafter referred to as "Provider," and GreenField Holdings, hereafter referred to as "Client." +2. **Scope of Services**: Provider agrees to grant the Client access to the Markellm platform, enabling GreenField Holdings to connect with potential insurance customers through the AI-powered marketplace. +3. **Compliance**: Both parties agree to adhere to applicable laws and regulations that govern information security and consumer data protection. + +## Renewal +1. **Automatic Renewal**: This contract will automatically renew for sequential one-year terms unless either party provides a written notice of non-renewal at least 30 days prior to the expiration of the current term. +2. **Annual Review**: Upon renewal, both parties may review and negotiate the terms, including any modifications to pricing based on performance metrics outlined in Section 4. + +## Features +1. **AI-Powered Matching**: Access to advanced algorithms that connect GreenField Holdings with tailored insurance leads. +2. **Real-Time Quotes**: Ability to provide customers with instant quotes from multiple insurance providers, facilitating faster decision-making processes. +3. **Customized Recommendations**: Utilization of customizable consumer profiles to enhance marketing strategies and optimize customer engagement. +4. **Data Insights**: Access to analytics dashboards for real-time insights into market trends and consumer behavior, helping GreenField Holdings refine their product offerings. + +## Support +1. **Customer Support Access**: The Client will have access to dedicated support through phone and email during normal business hours to address any inquiries or technical issues. +2. **Training and Resources**: Provider will offer onboarding training resources to ensure GreenField Holdings can effectively utilize the Markellm platform. +3. **Performance Reviews**: Quarterly performance reviews will be conducted to analyze platform effectiveness, customer acquisition rates, and marketing strategies, ensuring both parties are aligned on objectives. + +## Pricing +- **Basic Listing Fee**: GreenField Holdings agrees to pay a monthly fee of $199 for a featured listing on the Markellm platform. +- **Performance-Based Pricing**: An additional fee of $25 per acquired customer lead will be charged, reflecting successful connections made through the Markellm platform. + +**Signatures:** +_________________________ _________________________ +**[Name], Title** **[Name], Title** +Insurellm GreenField Holdings +**Date:** ____________ **Date:** ____________ \ No newline at end of file diff --git a/week5/knowledge-base/contracts/Contract with GreenValley Insurance for Homellm.md b/week5/knowledge-base/contracts/Contract with GreenValley Insurance for Homellm.md new file mode 100644 index 0000000..2e204a9 --- /dev/null +++ b/week5/knowledge-base/contracts/Contract with GreenValley Insurance for Homellm.md @@ -0,0 +1,77 @@ +# Contract with GreenValley Insurance for Homellm + +**Contract Date:** October 6, 2023 +**Contract Number:** HV-2023-0458 +**Parties:** +- Insurellm, Inc. +- GreenValley Insurance, LLC + +--- + +## Terms + +1. **Coverage:** Insurellm agrees to provide GreenValley Insurance with access to the Homellm product, allowing for personalized home insurance offerings tailored to customers. + +2. **Duration:** This agreement is effective for a period of 12 months from the contract date, after which it will automatically renew unless terminated by either party with a written 30-day notice. + +3. **Payment:** GreenValley Insurance shall pay a monthly fee of $10,000, due by the 5th of every month for the Standard Tier package. + +4. **Confidentiality:** Both parties agree to maintain the confidentiality of proprietary information disclosed during the execution of this contract. + +5. **Liability:** Insurellm's liability under this agreement shall be limited to direct damages and shall not exceed the total fees paid by GreenValley Insurance in the last 12 months prior to the date of the claim. + +--- + +## Renewal + +Unless either party provides a written notice of termination at least 30 days prior to the expiration of the contract term, this agreement will automatically renew for an additional one-year term under the same terms and conditions. + +--- + +## Features + +GreenValley Insurance will receive the following features with Homellm: + +1. **AI-Powered Risk Assessment:** Access to advanced AI algorithms for real-time risk evaluations. + +2. **Dynamic Pricing Model:** Flexible premium adjustments based on ongoing risk analysis. + +3. **Instant Claim Processing:** Automated claim management to accelerate processing times significantly. + +4. **Predictive Maintenance Alerts:** Alerts for potential maintenance needs to mitigate risks. + +5. **Multi-Channel Integration:** Capability to integrate seamlessly with existing systems for unified customer management. + +6. **Customer Portal:** A user-friendly portal for their customers for policy and claims management. + +--- + +## Support + +Insurellm commits to providing comprehensive support to GreenValley Insurance, which includes: + +1. **Onboarding:** An extensive training program for the GreenValley staff to ensure effective use of Homellm. + +2. **Dedicated Support Team:** A dedicated support team available 24/7 to address any technical issues or inquiries. + +3. **Regular Updates:** Insurellm will offer ongoing updates and enhancements to the Homellm platform, including new features and security improvements. + +4. **Feedback Implementation:** Insurellm will actively solicit feedback from GreenValley Insurance to ensure Homellm continues to meet their evolving needs. + +--- + +**Signatures:** + +_________________________________ +**[Name]** +**Title**: CEO +**Insurellm, Inc.** + +_________________________________ +**[Name]** +**Title**: COO +**GreenValley Insurance, LLC** + +--- + +This agreement represents the complete understanding of both parties regarding the use of the Homellm product and supersedes any prior agreements or communications. \ No newline at end of file diff --git a/week5/knowledge-base/contracts/Contract with Greenstone Insurance for Homellm.md b/week5/knowledge-base/contracts/Contract with Greenstone Insurance for Homellm.md new file mode 100644 index 0000000..3177ef4 --- /dev/null +++ b/week5/knowledge-base/contracts/Contract with Greenstone Insurance for Homellm.md @@ -0,0 +1,73 @@ +# Contract with Greenstone Insurance for Homellm + +--- + +## Terms + +1. **Parties**: This Contract ("Agreement") is entered into on this day, [Insert Date], between Insurellm ("Provider"), located at [Provider Address], and Greenstone Insurance ("Customer"), located at [Customer Address]. + +2. **Services Provided**: Provider agrees to deliver the Homellm product, which includes AI-powered risk assessment, dynamic pricing model, instant claim processing, predictive maintenance alerts, multi-channel integration, and access to a customer portal as specified in the provided Product Summary. + +3. **Contract Duration**: This Agreement shall commence on [Insert Start Date] and continue for a period of [Insert Duration, e.g., 12 months] unless terminated earlier as per the provisions herein. + +4. **Payment Terms**: + - The Customer shall pay an amount of $10,000 per month for the Standard Tier of the Homellm service. + - Payments are due within 30 days of invoicing. + +5. **Customization**: Any additional customization requests outside the standard offerings will require a separate agreement and associated costs. + +--- + +## Renewal + +1. **Automatic Renewal**: This Agreement will automatically renew for additional one-year terms unless either party provides written notice of termination at least 60 days prior to the end of the current term. + +2. **Renewal Terms Review**: Prior to each renewal, the Provider and Customer will review the terms and pricing. Adjustments may be made based on the current features and market conditions. + +--- + +## Features + +- **AI-Powered Risk Assessment**: Customer will have access to enhanced risk evaluation tools, allowing for personalized underwriting based on real-time data analysis. + +- **Dynamic Pricing Model**: The Customer can leverage flexible premiums adjusted according to customer risk profiles. + +- **Instant Claim Processing**: Claims submitted by the Customer's clients will be processed through an automated system, with most claims resolved within hours. + +- **Predictive Maintenance Alerts**: The Customer will receive alerts regarding potential maintenance needs for insured properties, enhancing client satisfaction and reducing claims. + +- **Multi-Channel Integration**: Homellm will integrate with the Customer's existing platforms to create seamless service delivery. + +- **Customer Portal**: A dedicated portal will be provided, allowing the Customer's clients to manage their accounts 24/7. + +--- + +## Support + +1. **Training**: Provider will offer a comprehensive training program at the start of the term to ensure the Customer's staff can effectively use the Homellm product. + +2. **Ongoing Support**: The Provider will supply ongoing technical support via email and phone during business hours (9 am - 5 pm EST) throughout the contract duration. + +3. **Updates and Improvements**: Customer will receive all software updates and feature enhancements as they become available, without additional charge. + +--- + +**AGREEMENT SIGNATURES** + +By signing below, the parties acknowledge their acceptance of the terms of this Agreement. + +**For Insurellm:** + +______________________________ +[Name], [Title] +Date: ______________________ + +**For Greenstone Insurance:** + +______________________________ +[Name], [Title] +Date: ______________________ + +--- + +*This contract is intended for illustrative purposes only and does not constitute a real legal document.* \ No newline at end of file diff --git a/week5/knowledge-base/contracts/Contract with Pinnacle Insurance Co. for Homellm.md b/week5/knowledge-base/contracts/Contract with Pinnacle Insurance Co. for Homellm.md new file mode 100644 index 0000000..c44e86e --- /dev/null +++ b/week5/knowledge-base/contracts/Contract with Pinnacle Insurance Co. for Homellm.md @@ -0,0 +1,39 @@ +# Contract with Pinnacle Insurance Co. for Homellm + +## Terms +This contract ("Contract") is entered into as of this 1st day of January 2024 ("Effective Date") by and between Insurellm ("Provider"), a Delaware corporation with its principal place of business at 1234 Innovation Drive, San Francisco, CA 94105, and Pinnacle Insurance Co. ("Client"), a Texas corporation with its principal place of business at 4567 Protection Plaza, Houston, TX 77001. + +1. **License Grant**: Insurellm hereby grants the Client a non-exclusive, non-transferable license to use Homellm in accordance with the terms of this Contract. +2. **Payment Terms**: The Client agrees to pay an initial setup fee of $15,000 and a monthly subscription fee of $10,000 for the duration of the Contract. +3. **Term**: The initial term of this Contract shall last for a period of two (2) years from the Effective Date. + +## Renewal +1. **Renewal Terms**: At the end of the initial term, this Contract shall automatically renew for additional one-year terms unless either party provides written notice of termination at least thirty (30) days prior to the expiration of the current term. +2. **Adjustment of Fees**: Subscription fees may be adjusted annually based on consumer price index changes, not to exceed 5% per year. + +## Features +1. **AI-Powered Risk Assessment**: Utilized for tailored underwriting decisions specific to individual homeowner policies. +2. **Dynamic Pricing Model**: Monthly premiums adjusted based on real-time risk evaluations, ensuring fair pricing for Pinnacle’s customers. +3. **Instant Claim Processing**: Claims resolved in hours rather than weeks, significantly improving customer satisfaction and operational efficiency. +4. **Predictive Maintenance Alerts**: Alerts sent to customers advising them of potential risks unique to their property, supporting proactive maintenance. +5. **Multi-Channel Integration**: Seamless access to customer data through existing systems in Pinnacle Insurance's infrastructure. +6. **Customer Portal**: A user-friendly interface allowing policy management, claims submission, and coverage updates at any time. + +## Support +1. **Technical Support**: Insurellm shall provide 24/7 technical support via an email and phone assistance for the duration of this Contract. +2. **Training**: Insurellm will conduct an onsite training session for Client employees upon implementation, and quarterly training webinars will be made available thereafter. +3. **Updates and Maintenance**: Insurellm will provide regular system updates and maintenance, ensuring that the software is operating at peak efficiency. + +By signing below, both parties agree to the terms set forth in this Contract for the use of the Homellm product. + +____ +**Insurellm Authorized Signature** +Name: Sarah Johnson +Title: VP of Sales +Date: ____________ + +____ +**Pinnacle Insurance Co. Authorized Signature** +Name: Tom Anderson +Title: Chief Operating Officer +Date: ____________ \ No newline at end of file diff --git a/week5/knowledge-base/contracts/Contract with Roadway Insurance Inc. for Carllm.md b/week5/knowledge-base/contracts/Contract with Roadway Insurance Inc. for Carllm.md new file mode 100644 index 0000000..2a3bae0 --- /dev/null +++ b/week5/knowledge-base/contracts/Contract with Roadway Insurance Inc. for Carllm.md @@ -0,0 +1,44 @@ +# Contract with Roadway Insurance Inc. for Carllm + +--- + +## Terms + +1. **Agreement Effective Date**: This contract is effective as of January 1, 2025. +2. **Duration**: This agreement will remain in effect for a term of 12 months, concluding on December 31, 2025. +3. **Subscription Type**: Roadway Insurance Inc. agrees to subscribe to the **Professional Tier** of Carllm, at a cost of $2,500/month, totaling $30,000 for the duration of this contract. +4. **Payment Terms**: Payments are due on the first of each month. Late payments will incur a penalty of 1.5% per month. +5. **Termination Clause**: Either party may terminate this agreement with 30 days' written notice prior to the end of the term. If terminated early, fees will be calculated on a pro-rata basis. + +--- + +## Renewal + +1. **Automatic Renewal**: This agreement will automatically renew for an additional 12-month term unless either party provides written notice of non-renewal at least 30 days before the expiration date. +2. **Price Adjustments**: Subscription fees may be adjusted for the renewal term in accordance with market conditions and the company's pricing policies, with 60 days' prior notice provided to Roadway Insurance Inc. + +--- + +## Features + +1. **Access to Core Features**: Roadway Insurance Inc. will have access to all Professional Tier features, including: + - AI-Powered Risk Assessment + - Advanced Analytics & Fraud Detection + - Instant Quoting System + - Customizable Coverage Plans + - Customer Insights Dashboard + +2. **Mobile Integration**: All features will be accessible through a mobile application that Insurellm will provide. +3. **Customer Support**: Includes 24/7 automated customer support via AI chatbots and access to dedicated account management support during business hours. + +--- + +## Support + +1. **Technical Support**: Roadway Insurance Inc. will receive priority technical support from Insurellm for any issues arising from the Carllm product. +2. **Training**: Insurellm will provide up to 5 training sessions for Roadway Insurance Inc. staff on the effective use of the Carllm platform, scheduled at mutual convenience. +3. **Updates and Maintenance**: Regular updates to the Carllm platform will be conducted quarterly, and any maintenance outages will be communicated at least 48 hours in advance. + +--- + +*This contract outlines the terms of the relationship between Insurellm and Roadway Insurance Inc. for the Carllm product, emphasizing the collaborative spirit aimed at transforming the auto insurance landscape.* \ No newline at end of file diff --git a/week5/knowledge-base/contracts/Contract with Stellar Insurance Co. for Rellm.md b/week5/knowledge-base/contracts/Contract with Stellar Insurance Co. for Rellm.md new file mode 100644 index 0000000..654bf99 --- /dev/null +++ b/week5/knowledge-base/contracts/Contract with Stellar Insurance Co. for Rellm.md @@ -0,0 +1,48 @@ +# Contract with Stellar Insurance Co. for Rellm + +## Terms +This contract is made between **Insurellm**, located at 123 Innovation Lane, San Francisco, CA, and **Stellar Insurance Co.**, located at 456 Galaxy Road, Chicago, IL. The effective date of this agreement is **January 1, 2024**. + +### Duration +The initial term of this agreement shall be for **12 months**, commencing from the effective date. The contract will automatically renew for successive **12-month periods** unless either party provides written notice of non-renewal at least **30 days** prior to the expiration of the current term. + +### Payment Terms +Stellar Insurance Co. agrees to pay Insurellm a monthly subscription fee of **$10,000** for the **Professional Plan** of the Rellm product. Payments are due on the **1st of each month**. + +### Termination +Either party may terminate this agreement with a **30-day written notice**. In the event of a material breach, the non-breaching party may terminate immediately, provided a written notice is given. + +## Renewal +This contract will renew automatically for additional 12-month terms unless written notice is provided by either party 30 days prior to the renewal date. Upon renewal, pricing may be adjusted based on agreed-upon inflation adjustments or additional services requested by Stellar Insurance Co. + +## Features +Stellar Insurance Co. will receive access to the following features of the Rellm product: + +- **AI-Driven Analytics**: Predictive insights into risk exposures tailored for the reinsurance industry. +- **Seamless Integrations**: Compatibility with existing systems for policy management and claims processing. +- **Risk Assessment Module**: Comprehensive evaluation of risk profiles using advanced modeling techniques. +- **Customizable Dashboard**: Tailored user interface presenting relevant metrics and performance indicators. +- **Regulatory Compliance Tools**: Features to ensure adherence to local and international regulations. +- **Client and Broker Portals**: Dedicated portals for enhanced communication and document sharing. + +## Support +Insurellm provides Stellar Insurance Co. with the following support services: + +- **24/7 Technical Support**: Access to dedicated support representatives via phone and online chat. +- **Quarterly Account Review**: Meetings to discuss performance metrics and uncover additional needs. +- **Training Sessions**: Initial orientation and ongoing training opportunities to maximize the effectiveness of Rellm usage. +- **Updates and Upgrades**: Regular software updates and enhancements are included as part of the subscription. + +Stellar Insurance Co. acknowledges receipt of the Rellm product summary and agrees to the terms set forth above. By signing below, both parties confirm their acceptance of this contract. + +**For Insurellm** +______________________________ +[Signature] +[Name, Title] +[Date] + +**For Stellar Insurance Co.** +______________________________ +[Signature] +[Name, Title] +[Date] \ No newline at end of file diff --git a/week5/knowledge-base/contracts/Contract with TechDrive Insurance for Carllm.md b/week5/knowledge-base/contracts/Contract with TechDrive Insurance for Carllm.md new file mode 100644 index 0000000..38c2d6d --- /dev/null +++ b/week5/knowledge-base/contracts/Contract with TechDrive Insurance for Carllm.md @@ -0,0 +1,59 @@ +# Contract with TechDrive Insurance for Carllm + +**Contract Date:** October 1, 2024 +**Contract Duration:** 12 months + +--- + +## Terms + +1. **Parties Involved**: This contract is entered into between Insurellm (the "Provider") and TechDrive Insurance (the "Customer"). + +2. **License Grant**: Insurellm grants TechDrive Insurance a non-exclusive, non-transferable license to use the Carllm product as per the selected pricing tier (Professional Tier at $2,500/month). + +3. **Payment Terms**: TechDrive Insurance agrees to make monthly payments of $2,500 for the duration of this contract, due on the 5th of each month. + +4. **Confidentiality**: Both parties shall maintain confidentiality regarding each other’s proprietary information throughout the duration of this contract and for three years following its termination. + +## Renewal + +1. **Automatic Renewal**: This contract shall automatically renew for additional one-year terms unless either party provides written notice of non-renewal at least 30 days prior to the contract expiration. + +2. **Pricing Review**: The pricing for any renewal period shall be discussed 60 days prior to the end of the term and agreed upon in writing. + +## Features + +1. **Included Features**: Under the Professional Tier, TechDrive Insurance will have access to the following features of Carllm: + - AI-Powered Risk Assessment + - Instant Quoting + - Customizable Coverage Plans + - Fraud Detection + - Customer Insights Dashboard + - Mobile Integration + - Automated Customer Support + +2. **System Requirements**: TechDrive Insurance must ensure that their existing systems meet the technical requirements to integrate with Carllm, as outlined in the onboarding documentation provided by Insurellm. + +## Support + +1. **Customer Support**: Insurellm will provide 24/7 customer support to TechDrive Insurance via AI-driven chatbots, ensuring timely resolution of inquiries and issues. + +2. **Training**: TechDrive Insurance staff will receive onboarding training sessions to ensure effective utilization of the Carllm platform, scheduled within the first two weeks of contract commencement. + +3. **System Updates**: The Provider will push regular updates to improve system performance and add new features. TechDrive Insurance will receive prior notification of any significant upgrades that may affect current operations. + +--- + +**Signatures:** + +**Insurellm Representative:** +Name: John Smith +Title: Account Manager +Date: ____________ + +**TechDrive Insurance Representative:** +Name: Sarah Johnson +Title: Operations Director +Date: ____________ + +This contract will serve as the foundational agreement for the ongoing collaboration between Insurellm and TechDrive Insurance in optimizing their auto insurance offerings through the Carllm product. \ No newline at end of file diff --git a/week5/knowledge-base/contracts/Contract with Velocity Auto Solutions for Carllm.md b/week5/knowledge-base/contracts/Contract with Velocity Auto Solutions for Carllm.md new file mode 100644 index 0000000..9b0416e --- /dev/null +++ b/week5/knowledge-base/contracts/Contract with Velocity Auto Solutions for Carllm.md @@ -0,0 +1,52 @@ +# Contract with Velocity Auto Solutions for Carllm + +**Contract Date:** October 1, 2023 +**Contract Number:** C-12345-2023 +**Client:** Velocity Auto Solutions +**Product:** Carllm Auto Insurance Solution + +--- + +## Terms + +1. **Duration**: This contract is effective for a period of 12 months from the contract date. +2. **Payment Schedule**: Velocity Auto Solutions agrees to pay Insurellm the total fee associated with the selected subscription tier on a monthly basis, beginning on the contract date. +3. **Confidentiality**: Both parties agree to keep all proprietary information confidential and not to disclose it to any third parties without written consent. +4. **Intellectual Property**: All components of Carllm and any related technology are the property of Insurellm, and license is granted to Velocity Auto Solutions for internal use only. + +## Renewal + +1. **Automatic Renewal**: This contract will automatically renew for successive 12-month periods unless either party provides written notice at least 30 days prior to the end of the initial term or any renewal term. +2. **Rate Adjustment**: Subscription pricing may be subject to adjustment, with Insurellm providing a 60-day advance notice of any changes prior to renewal. + +## Features + +1. **Included Features**: + - AI-Powered Risk Assessment + - Instant Quoting and Customizable Coverage Plans + - Fraud Detection Systems + - Customer Insights Dashboard + - Automated Customer Support + +2. **Feature Enhancements**: Velocity Auto Solutions will receive updates to the Carllm product as outlined in the Insurellm 2025-2026 Roadmap, including mobile integration and telematics-based pricing enhancements. + +## Support + +1. **Customer Support**: Velocity Auto Solutions will have access to Insurellm’s customer support team via email or chatbot, available 24/7. +2. **Technical Maintenance**: Regular maintenance and updates to the Carllm platform will be conducted by Insurellm, with any downtime communicated in advance. +3. **Training & Resources**: Initial training sessions will be provided for Velocity Auto Solutions’ staff to ensure effective use of the Carllm suite. Regular resources and documentation will be made available online. + +--- + +**Accepted and Agreed:** +**For Velocity Auto Solutions** +Signature: _____________________ +Name: John Doe +Title: CEO +Date: _____________________ + +**For Insurellm** +Signature: _____________________ +Name: Jane Smith +Title: VP of Sales +Date: _____________________ \ No newline at end of file diff --git a/week5/knowledge-base/employees/Alex Chen.md b/week5/knowledge-base/employees/Alex Chen.md new file mode 100644 index 0000000..f25b9d4 --- /dev/null +++ b/week5/knowledge-base/employees/Alex Chen.md @@ -0,0 +1,46 @@ +# HR Record + +# Alex Chen + +## Summary +- **Date of Birth:** March 15, 1990 +- **Job Title:** Backend Software Engineer +- **Location:** San Francisco, California + +## Insurellm Career Progression +- **April 2020:** Joined Insurellm as a Junior Backend Developer. Focused on building APIs to enhance customer data security. +- **October 2021:** Promoted to Backend Software Engineer. Took on leadership for a key project developing a microservices architecture to support the company's growing platform. +- **March 2023:** Awarded the title of Senior Backend Software Engineer due to exemplary performance in scaling backend services, reducing downtime by 30% over six months. + +## Annual Performance History +- **2020:** + - Completed onboarding successfully. + - Met expectations in delivering project milestones. + - Received positive feedback from the team leads. + +- **2021:** + - Achieved a 95% success rate in project delivery timelines. + - Awarded "Rising Star" at the annual company gala for outstanding contributions. + +- **2022:** + - Exceeded goals by optimizing existing backend code, improving system performance by 25%. + - Conducted training sessions for junior developers, fostering knowledge sharing. + +- **2023:** + - Led a major overhaul of the API internal architecture, enhancing security protocols. + - Contributed to the company’s transition to a cloud-based infrastructure. + - Received an overall performance rating of 4.8/5. + +## Compensation History +- **2020:** Base Salary: $80,000 +- **2021:** Base Salary Increase to $90,000; Received a performance bonus of $5,000. +- **2022:** Base Salary Increase to $100,000; Performance bonus of $7,500 due to exceptional project outcomes. +- **2023:** Base Salary Increase to $115,000; Performance bonus of $10,000 for leading pivotal projects. + +## Other HR Notes +- Participates regularly in Insurellm's Diversity & Inclusion initiatives, championing tech accessibility for underrepresented communities. +- Completed several certifications in cloud architecture and DevOps, contributing to professional growth. +- Plans for a professional development course in AI and machine learning to further enhance backend capabilities in Insurellm's offerings. +- Acknowledged for volunteer efforts in local tech meetups, bringing seasoned engineers to mentor aspiring coders. + +Alex Chen continues to be a vital asset at Insurellm, contributing significantly to innovative backend solutions that help shape the future of insurance technology. \ No newline at end of file diff --git a/week5/knowledge-base/employees/Alex Harper.md b/week5/knowledge-base/employees/Alex Harper.md new file mode 100644 index 0000000..7e78f2a --- /dev/null +++ b/week5/knowledge-base/employees/Alex Harper.md @@ -0,0 +1,57 @@ +# HR Record + +# Alex Harper + +## Summary +- **Date of Birth**: March 15, 1993 +- **Job Title**: Sales Development Representative (SDR) +- **Location**: Denver, Colorado + +## Insurellm Career Progression +- **July 2021**: Joined Insurellm as a Sales Development Representative, focusing on lead generation and nurturing B2B relationships. +- **January 2022**: Promoted to Senior Sales Development Representative due to exceptional performance in converting leads into clients. +- **October 2022**: Completed an Internal Leadership Training Program, enhancing skills in team collaboration and strategic selling. Currently mentoring junior SDRs. +- **April 2023**: Became involved in a cross-departmental project to streamline the customer onboarding process, showcasing initiative and leadership. + +## Annual Performance History +- **2021**: + - **Performance Rating**: 4.5/5 + - **Key Achievements**: Exceeded lead generation targets by 30%. Introduced a new CRM analytics tool resulting in improved tracking of customer interactions. + +- **2022**: + - **Performance Rating**: 4.8/5 + - **Key Achievements**: Awarded "SDR of the Year" for outstanding contributions. Instrumental in securing 15 new B2B contracts, surpassing targets by 40%. + +- **2023**: + - **Performance Rating**: 4.7/5 + - **Key Achievements**: Played a key role in the launch of a new product line with a 25% increase in lead-to-conversion rates. Completed advanced sales negotiation training with high marks. + +## Compensation History +- **2021**: + - **Base Salary**: $55,000 + - **Bonus**: $5,500 (10% of base due to performance) + +- **2022**: + - **Base Salary**: $65,000 (Promotion to Senior SDR) + - **Bonus**: $13,000 (20% of base due to performance) + +- **2023**: + - **Base Salary**: $75,000 + - **Bonus**: $15,000 (20% of base) + +## Other HR Notes +- **Training Completed**: + - CRM Analytics & Data Management Workshop (2021) + - Leadership Training Program (2022) + - Advanced Sales Negotiation Course (2023) + +- **Awards**: + - Insurellm "SDR of the Year" Award (2022) + - Monthly MVP Recognition (3 times in 2023) + +- **Interests**: + - In Alex's spare time, they enjoy participating in community volunteer programs, particularly those focused on financial literacy. + - Alex is also an avid runner and has participated in several charity marathons. + +- **Feedback from HR**: + - Alex Harper is noted for their work ethic, positive attitude, and willingness to go above and beyond for both clients and colleagues. Recognized for fostering a team spirit within the SDR team. \ No newline at end of file diff --git a/week5/knowledge-base/employees/Alex Thomson.md b/week5/knowledge-base/employees/Alex Thomson.md new file mode 100644 index 0000000..0731963 --- /dev/null +++ b/week5/knowledge-base/employees/Alex Thomson.md @@ -0,0 +1,36 @@ +# HR Record + +# Alex Thomson + +## Summary +- **Date of Birth:** March 15, 1995 +- **Job Title:** Sales Development Representative (SDR) +- **Location:** Austin, Texas + +## Insurellm Career Progression +- **November 2022** - Joined Insurellm as a Sales Development Representative. Alex Thomson quickly adapted to the team, demonstrating exceptional communication and rapport-building skills. +- **January 2023** - Promoted to Team Lead for special projects due to Alex's initiative in driving B2B customer outreach programs. +- **August 2023** - Developed a training module for new SDRs at Insurellm, enhancing onboarding processes based on feedback and strategies that Alex Thomson pioneered. +- **Current** - Continues to excel in the role, leading a small team of 5 SDRs while collaborating closely with the marketing department to identify new lead-generation strategies. + +## Annual Performance History +- **2022** - Rated as "Exceeds Expectations." Alex Thomson achieved 150% of the sales target within the first three months. +- **2023** - Rated "Outstanding." Recognized for innovative lead-generation tactics which contributed to a 30% increase in qualified leads for the sales team. + +### Highlights: +- Consistently maintained a 30-minute response time to inbound leads. +- Successfully coordinated webinars for product launches, which attracted over 2,000 potential customers. + +## Compensation History +- **2022**: Base Salary - $55,000 | Bonus - $5,000 +- **2023**: Base Salary - $65,000 | Bonus - $10,000 (for exceeding sales targets and exceptional teamwork) +- **Projected for 2024**: Anticipated salary increase due to Alex Thomson's significant contributions and successful completion of leadership training. + +## Other HR Notes +- Alex Thomson is an active member of the Diversity and Inclusion committee at Insurellm and has participated in various community outreach programs. +- Alex has received external training on advanced CRM usage, which has subsequently improved team efficiency and productivity. +- Continuous professional development through attending sales conventions and workshops, with plans to pursue certification in Sales Enablement in 2024. +- Recognized by peers for promoting a supportive and high-energy team environment, often organizing team-building activities to enhance camaraderie within the SDR department. + +--- +**Comment:** Alex Thomson is considered a cornerstone of Insurellm’s sales team and has a bright future within the organization. \ No newline at end of file diff --git a/week5/knowledge-base/employees/Avery Lancaster.md b/week5/knowledge-base/employees/Avery Lancaster.md new file mode 100644 index 0000000..470624d --- /dev/null +++ b/week5/knowledge-base/employees/Avery Lancaster.md @@ -0,0 +1,63 @@ +# Avery Lancaster + +## Summary +- **Date of Birth**: March 15, 1985 +- **Job Title**: Co-Founder & Chief Executive Officer (CEO) +- **Location**: San Francisco, California + +## Insurellm Career Progression +- **2015 - Present**: Co-Founder & CEO + Avery Lancaster co-founded Insurellm in 2015 and has since guided the company to its current position as a leading Insurance Tech provider. Avery is known for her innovative leadership strategies and risk management expertise that have catapulted the company into the mainstream insurance market. + +- **2013 - 2015**: Senior Product Manager at Innovate Insurance Solutions + Before launching Insurellm, Avery was a leading Senior Product Manager at Innovate Insurance Solutions, where she developed groundbreaking insurance products aimed at the tech sector. + +- **2010 - 2013**: Business Analyst at Edge Analytics + Prior to joining Innovate, Avery worked as a Business Analyst, focusing on market trends and consumer preferences in the insurance space. This position laid the groundwork for Avery’s future entrepreneurial endeavors. + +## Annual Performance History +- **2015**: **Exceeds Expectations** + Avery’s leadership during Insurellm's foundational year led to successful product launches and securing initial funding. + +- **2016**: **Meets Expectations** + Growth continued, though challenges arose in operational efficiency that required Avery's attention. + +- **2017**: **Developing** + Market competition intensified, and monthly sales metrics were below targets. Avery implemented new strategies which required a steep learning curve. + +- **2018**: **Exceeds Expectations** + Under Avery’s pivoted vision, Insurellm launched two new successful products that significantly increased market share. + +- **2019**: **Meets Expectations** + Steady growth, however, some team tensions led to a minor drop in employee morale. Avery recognized the need to enhance company culture. + +- **2020**: **Below Expectations** + The COVID-19 pandemic posed unforeseen operational difficulties. Avery faced criticism for delayed strategy shifts, although efforts were eventually made to stabilize the company. + +- **2021**: **Exceptional** + Avery's decisive transition to remote work and rapid adoption of digital tools led to record-high customer satisfaction levels and increased sales. + +- **2022**: **Satisfactory** + Avery focused on rebuilding team dynamics and addressing employee concerns, leading to overall improvement despite a saturated market. + +- **2023**: **Exceeds Expectations** + Market leadership was regained with innovative approaches to personalized insurance solutions. Avery is now recognized in industry publications as a leading voice in Insurance Tech innovation. + +## Compensation History +- **2015**: $150,000 base salary + Significant equity stake +- **2016**: $160,000 base salary + Equity increase +- **2017**: $150,000 base salary + Decrease in bonus due to performance +- **2018**: $180,000 base salary + performance bonus of $30,000 +- **2019**: $185,000 base salary + market adjustment + $5,000 bonus +- **2020**: $170,000 base salary (temporary reduction due to COVID-19) +- **2021**: $200,000 base salary + performance bonus of $50,000 +- **2022**: $210,000 base salary + retention bonus +- **2023**: $225,000 base salary + $75,000 performance bonus + +## Other HR Notes +- **Professional Development**: Avery has actively participated in leadership training programs and industry conferences, representing Insurellm and fostering partnerships. +- **Diversity & Inclusion Initiatives**: Avery has championed a commitment to diversity in hiring practices, seeing visible improvements in team representation since 2021. +- **Work-Life Balance**: Feedback revealed concerns regarding work-life balance, which Avery has approached by implementing flexible working conditions and ensuring regular check-ins with the team. +- **Community Engagement**: Avery led community outreach efforts, focusing on financial literacy programs, particularly aimed at underserved populations, improving Insurellm's corporate social responsibility image. + +Avery Lancaster has demonstrated resilience and adaptability throughout her career at Insurellm, positioning the company as a key player in the insurance technology landscape. \ No newline at end of file diff --git a/week5/knowledge-base/employees/Emily Carter.md b/week5/knowledge-base/employees/Emily Carter.md new file mode 100644 index 0000000..179d14b --- /dev/null +++ b/week5/knowledge-base/employees/Emily Carter.md @@ -0,0 +1,48 @@ +# HR Record + +# Emily Carter + +## Summary +- **Date of Birth:** August 12, 1990 +- **Job Title:** Account Executive +- **Location:** Austin, Texas + +## Insurellm Career Progression +- **2021-Present:** Account Executive + - Responsibilities include managing a portfolio of B2B clients, conducting sales presentations, and ensuring customer satisfaction. + - Achievements: + - Exceeded annual sales target by 30% in 2022. + - Instrumental in acquiring 15 new corporate clients in half a year. + +- **2019-2021:** Sales Coordinator + - Supported the sales team with administrative tasks, lead generation, and customer follow-ups. + - Achievements: + - Implemented a new lead tracking system that improved workflow efficiency by 25%. + - Received "Employee of the Month" award twice for outstanding contribution to team goals. + +- **2017-2019:** Marketing Intern + - Assisted with market research and campaign development for social media outreach. + - Achievements: + - Contributed ideas for a social media campaign that increased brand awareness by 40% within 6 months. + +## Annual Performance History +| Year | Performance Rating | Key Highlights | +|------|--------------------|----------------| +| 2023 | 4.8/5 | Recognized for exceptional client feedback and teamwork during product launches. | +| 2022 | 4.5/5 | Led a successful cross-selling initiative that boosted revenue in existing accounts. | +| 2021 | 4.2/5 | Successfully onboarded new clients and established strong relationships that resulted in renewals. | + +## Compensation History +| Year | Base Salary | Bonus | Total Compensation | +|------|-------------|---------------|--------------------| +| 2023 | $70,000 | $10,000 | $80,000 | +| 2022 | $65,000 | $8,000 | $73,000 | +| 2021 | $60,000 | $5,000 | $65,000 | + +## Other HR Notes +- **Professional Development:** Emily is currently enrolled in a leadership training program to enhance her management skills and aims to move into a senior account role within the next 2 years. +- **Volunteer Work:** Actively participates in community outreach programs, representing Insurellm in charity events to promote corporate social responsibility. +- **Interests:** In her spare time, Emily enjoys hiking, photography, and volunteering at local animal shelters. +- **Team Feedback:** Colleagues describe Emily as a highly motivated team player who consistently uplifts everyone around her. + +Emily Carter exemplifies the kind of talent that drives Insurellm's success and is an invaluable asset to the company. \ No newline at end of file diff --git a/week5/knowledge-base/employees/Emily Tran.md b/week5/knowledge-base/employees/Emily Tran.md new file mode 100644 index 0000000..83cc5a2 --- /dev/null +++ b/week5/knowledge-base/employees/Emily Tran.md @@ -0,0 +1,72 @@ +# HR Record + +# Emily Tran + +## Summary +- **Date of Birth:** March 18, 1991 +- **Job Title:** Digital Marketing Specialist +- **Location:** San Francisco, CA + +--- + +## Insurellm Career Progression +- **February 2020 - Present**: Digital Marketing Specialist + - Emily Tran has been pivotal in enhancing Insurellm's online presence through targeted social media campaigns and SEO strategies. + - Successfully managed a team of interns for the 'Spring Into Safety' initiative, increasing customer engagement by 35%. + +- **June 2018 - January 2020**: Marketing Coordinator + - Assisted in the development and execution of marketing campaigns to promote Insurellm's products. + - Collected and analyzed data on customer demographics to inform Insurellm’s marketing strategies. + +- **January 2017 - May 2018**: Marketing Intern + - Supported the Marketing team by collaborating on content creation and digital advertising projects. + - Gained hands-on experience with marketing automation tools, enriching her skillset for her role in Insurellm. + +--- + +## Annual Performance History +- **2023**: + - Performance Rating: Exceeds Expectations + - Key Achievements: Led the "Tech the Halls" campaign that resulted in a 50% increase in leads during the holiday season. + - Emily Tran's innovative strategies and attention to detail have made her stand out among her peers. + +- **2022**: + - Performance Rating: Meets Expectations + - Key Achievements: Enhanced Insurellm's email marketing strategy, achieving a 25% open rate increase. + +- **2021**: + - Performance Rating: Meets Expectations + - Key Achievements: Contributed to the launch of a customer referral program that resulted in a 15% growth in B2C customers. + +--- + +## Compensation History +- **2023**: + - Base Salary: $75,000 + - Bonus: $10,000 for exceeding annual targets. + +- **2022**: + - Base Salary: $70,000 + - Bonus: $5,000 for achieving marketing milestones. + +- **2021**: + - Base Salary: $67,500 + - No bonus due to reallocation of marketing funds during the pandemic. + +--- + +## Other HR Notes +- **Training Completed**: + - Advanced Digital Marketing Workshop (2021) + - Analytics and Reporting in Digital Advertising (2022) + +- **Professional Development Goals**: + - Emily Tran aims to become a Marketing Manager within the next two years, focusing on leading larger campaigns and developing junior team members. + +- **Hobbies**: + - Emily enjoys photography and regularly contributes to Insurellm's social media content with her own high-quality images. + - She is also passionate about sustainability and organizes monthly team volunteer events for environmental awareness. + +--- + +Emily Tran continues to be a valuable asset to Insurellm, driving innovative marketing strategies that resonate with a diverse customer base. Her contributions have significantly enhanced the company's branding and customer outreach efforts. \ No newline at end of file diff --git a/week5/knowledge-base/employees/Jordan Blake.md b/week5/knowledge-base/employees/Jordan Blake.md new file mode 100644 index 0000000..69b53a4 --- /dev/null +++ b/week5/knowledge-base/employees/Jordan Blake.md @@ -0,0 +1,34 @@ +# HR Record + +# Jordan Blake + +## Summary +- **Date of Birth:** March 15, 1993 +- **Job Title:** Sales Development Representative (SDR) +- **Location:** Austin, Texas + +## Insurellm Career Progression +- **2021-06:** Joined Insurellm as an Entry-Level SDR +- **2022-02:** Promoted to Junior SDR after exceeding quarterly targets by 25% +- **2022-12:** Recognized as SDR of the Month for three consecutive months +- **2023-05:** Participated in the Insurellm Leadership Training Program + +## Annual Performance History +- **2021:** First year at Insurellm; achieved 90% of monthly targets. + - **Feedback:** Strong potential shown in lead generation; needs improvement in follow-up techniques. +- **2022:** Achieved 120% of targets; pioneered outreach strategies that increased customer engagement. + - **Feedback:** Jordan's innovative approach contributed significantly to team success; recommended for leadership training. +- **2023:** Set to exceed annual targets by 30% in Q3; initiated successful partnerships that broadened market reach. + - **Feedback:** Exceptional communicator; exemplifies the values of Insurellm and promotes team collaboration. + +## Compensation History +- **2021-06:** Starting Salary: $50,000 +- **2022-04:** Merit-based increase: $55,000 (based on performance review) +- **2023-06:** Performance bonus awarded: $5,000 (for exceeding goals as recognized in annual review) +- **2023-09:** Salary adjustment due to promotion to Senior SDR: $65,000 + +## Other HR Notes +- Jordan has shown an interest in continuing education, actively participating in company-sponsored sales webinars. +- Notable for involvement in the Insurellm volunteer program, assisting local charity events related to financial literacy. +- Employee wellness advocate, consistently promotes team bonding activities and stress-relief workshops. +- Plans to enroll in a course for advanced sales strategies in Q4 2023, aiming to further enhance his skills at Insurellm. \ No newline at end of file diff --git a/week5/knowledge-base/employees/Jordan K. Bishop.md b/week5/knowledge-base/employees/Jordan K. Bishop.md new file mode 100644 index 0000000..4ec0633 --- /dev/null +++ b/week5/knowledge-base/employees/Jordan K. Bishop.md @@ -0,0 +1,37 @@ +# HR Record + +# Jordan K. Bishop + +## Summary +- **Date of Birth:** March 15, 1990 +- **Job Title:** Frontend Software Engineer +- **Location:** Austin, Texas + +## Insurellm Career Progression +- **June 2018:** Hired as a Frontend Software Engineer. +- **August 2019:** Promoted to Senior Frontend Software Engineer due to outstanding contributions to the Insurellm web application redesign project. +- **March 2021:** Led a cross-functional team for the launch of Insurellm's customer portal, enhancing user experience and engagement. +- **January 2022:** Transitioned to a mentorship role, where Jordan K. Bishop began training junior engineers, which affected the focus on personal projects. +- **August 2023:** Returned to core development tasks but faced challenges adapting to new frameworks, leading to performance reviews reflecting a need for improvement. + +## Annual Performance History +- **2019:** Exceeds Expectations - Continuously delivered high-quality code and participated actively in team meetings. +- **2020:** Meets Expectations - Jordan K. Bishop maintained steady performance but faced challenges due to a higher workload from multiple projects. +- **2021:** Exceeds Expectations - Recognized for leadership during the customer portal project; received the “Innovation Award” for creative problem-solving. +- **2022:** Meets Expectations - While mentoring others, the shift in focus led to fewer contributions to new features, marking a decrease in performance. +- **2023:** Needs Improvement - Transitioning back to development has resulted in difficulties with recent technologies, prompting a performance improvement plan. + +## Compensation History +- **June 2018:** Starting Salary - $85,000 +- **June 2019:** Salary Increase - $95,000 (Promotion to Senior Engineer) +- **June 2021:** Salary Increase - $105,000 with bonus for project leadership. +- **June 2022:** Salary Freeze due to company budget adjustments. +- **June 2023:** Salary Adjustment - $92,000 after performance review; adjustments made in consideration of recent struggles with adaptation. + +## Other HR Notes +- Jordan K. Bishop has been an integral part of club initiatives, including the Insurellm Code Reviews and Feedback Group, providing peer support. +- Active participant in the company's Diversity and Inclusion committee, promoting a positive work culture. +- Jordan has expressed interest in professional development courses, particularly those focused on modern web technologies, which are being considered for sponsorship by Insurellm. +- Engaged in a 6-month performance improvement plan as of August 2023, focusing on skill development and consistent performance monitoring. + +Jordan K. Bishop is a valued member of the Insurellm family, exhibiting a commitment to growth and development despite recent challenges. \ No newline at end of file diff --git a/week5/knowledge-base/employees/Maxine Thompson.md b/week5/knowledge-base/employees/Maxine Thompson.md new file mode 100644 index 0000000..30259dc --- /dev/null +++ b/week5/knowledge-base/employees/Maxine Thompson.md @@ -0,0 +1,53 @@ +# HR Record + +# Maxine Thompson + +## Summary +- **Date of Birth:** January 15, 1991 +- **Job Title:** Data Engineer +- **Location:** Austin, Texas + +## Insurellm Career Progression +- **January 2017 - October 2018**: **Junior Data Engineer** + * Maxine joined Insurellm as a Junior Data Engineer, focusing primarily on ETL processes and data integration tasks. She quickly learned Insurellm's data architecture, collaborating with other team members to streamline data workflows. +- **November 2018 - December 2020**: **Data Engineer** + * In her new role, Maxine expanded her responsibilities to include designing comprehensive data models and improving data quality measures. Though she excelled in technical skills, communication issues with non-technical teams led to some project delays. +- **January 2021 - Present**: **Senior Data Engineer** + * Maxine was promoted to Senior Data Engineer after successfully leading a pivotal project that improved data retrieval times by 30%. She now mentors junior engineers and is involved in strategic data initiatives, solidifying her position as a valued asset at Insurellm. She was recognized as Insurellm Innovator of the year in 2023, receiving the prestigious IIOTY 2023 award. + +## Annual Performance History +- **2017**: *Meets Expectations* + Maxine showed potential in her role but struggled with initial project deadlines. Her adaptability and willingness to learn made positive impacts on her team. + +- **2018**: *Exceeds Expectations* + Maxine improved significantly, becoming a reliable team member with strong problem-solving skills. She took on leadership in a project that automated data entry processes. + +- **2019**: *Needs Improvement* + During this year, difficult personal circumstances affected Maxine's performance. She missed key deadlines and had several communication issues with stakeholders. + +- **2020**: *Meets Expectations* + Maxine focused on regaining her footing and excelling with technical skills. She was stable, though not standout, in her contributions. Feedback indicated a need for more proactivity. + +- **2021**: *Exceeds Expectations* + Maxine spearheaded the transition to a new data warehousing solution, significantly enhancing Insurellm’s data analytics capabilities. This major achievement bolstered her reputation within the company. + +- **2022**: *Outstanding* + Maxine continued her upward trajectory, successfully implementing machine learning algorithms to predict customer behavior, which was well-received by the leadership team and improved client satisfaction. + +- **2023**: *Exceeds Expectations* + Maxine has taken on mentoring responsibilities and is leading a cross-functional team for data governance initiatives, showcasing her leadership and solidifying her role at Insurellm. + +## Compensation History +- **2017**: $70,000 (Junior Data Engineer) +- **2018**: $75,000 (Junior Data Engineer) +- **2019**: $80,000 (Data Engineer) +- **2020**: $84,000 (Data Engineer) +- **2021**: $95,000 (Senior Data Engineer) +- **2022**: $110,000 (Senior Data Engineer) +- **2023**: $120,000 (Senior Data Engineer) + +## Other HR Notes +- Maxine participated in various company-sponsored trainings related to big data technologies and cloud infrastructure. +- She was recognized for her contributions with the “Insurellm Innovator Award” in 2022. +- Maxine is currently involved in the women-in-tech initiative and participates in mentorship programs to guide junior employees. +- Future development areas include improving her stakeholder communication skills to ensure smoother project transitions and collaboration. \ No newline at end of file diff --git a/week5/knowledge-base/employees/Oliver Spencer.md b/week5/knowledge-base/employees/Oliver Spencer.md new file mode 100644 index 0000000..9404430 --- /dev/null +++ b/week5/knowledge-base/employees/Oliver Spencer.md @@ -0,0 +1,36 @@ +# HR Record + +# Oliver Spencer + +## Summary +- **Date of Birth**: May 14, 1990 +- **Job Title**: Backend Software Engineer +- **Location**: Austin, Texas + +## Insurellm Career Progression +- **March 2018**: Joined Insurellm as a Backend Developer I, focusing on API development for customer management systems. +- **July 2019**: Promoted to Backend Developer II after successfully leading a team project to revamp the claims processing system, reducing response time by 30%. +- **June 2021**: Transitioned to Backend Software Engineer with a broader role in architecture and system design, collaborating closely with the DevOps team. +- **September 2022**: Assigned as the lead engineer for the new "Innovate" initiative, aimed at integrating AI-driven solutions into existing products. +- **January 2023**: Awarded a mentorship role to guide new hires in backend technology and best practices within Insurellm. + +## Annual Performance History +- **2018**: **3/5** - Adaptable team player but still learning to take initiative. +- **2019**: **4/5** - Demonstrated strong problem-solving skills, outstanding contribution on the claims project. +- **2020**: **2/5** - Struggled with time management; fell behind on deadlines during a high-traffic release period. +- **2021**: **4/5** - Made a significant turnaround with organized work habits and successful project management. +- **2022**: **5/5** - Exceptional performance during the "Innovate" initiative, showcasing leadership and creativity. +- **2023**: **3/5** - Maintaining steady work; expectations for innovation not fully met, leading to discussions about goals. + +## Compensation History +- **March 2018**: Initial salary of $80,000. +- **July 2019**: Salary increased to $90,000 post-promotion. +- **June 2021**: Salary raised to $105,000 after role transition. +- **September 2022**: Salary adjustment to $120,000 due to increased responsibilities and performance. +- **January 2023**: Revised salary of $125,000 in recognition of mentorship role. + +## Other HR Notes +- Oliver enjoys a strong rapport with team members and is known for organizing regular team-building activities. +- Participated in Insurellm’s Hackathon in 2022, where he led a project that won “Best Overall Solution.” +- Pursuing AWS Certified Solutions Architect certification to enhance cloud skillset. +- Has expressed interest in further leadership opportunities within Insurellm and may consider project management roles in the future. \ No newline at end of file diff --git a/week5/knowledge-base/employees/Samantha Greene.md b/week5/knowledge-base/employees/Samantha Greene.md new file mode 100644 index 0000000..b67f212 --- /dev/null +++ b/week5/knowledge-base/employees/Samantha Greene.md @@ -0,0 +1,49 @@ +# Samantha Greene + +## Summary +- **Date of Birth:** October 14, 1990 +- **Job Title:** HR Generalist +- **Location:** Denver, Colorado + +## Insurellm Career Progression +- **2020** - Joined Insurellm as a HR Coordinator + - Responsibilities included assisting with recruitment processes and managing employee onboarding. +- **2021** - Promoted to HR Generalist + - Transitioned to a role with expanded responsibilities, including handling employee relations and benefits administration. +- **2022** - Completed the HR Leadership Development Program + - Enhanced skills in conflict resolution and strategic planning. +- **2023** - Actively involved in initiating the company’s Diversity and Inclusion programs. + - Samantha Greene played a key role in launching mentorship initiatives and employee resource groups. + +## Annual Performance History +- **2020:** Exceeds Expectations + Samantha Greene demonstrated exceptional organizational skills and contributed to a streamlined onboarding process, earning commendations from senior leadership. + +- **2021:** Meets Expectations + While proficient in her new role, Samantha Greene struggled with time management during peak recruitment seasons, resulting in occasional missed deadlines. + +- **2022:** Below Expectations + Samantha Greene faced challenges in balancing employee relations issues, thereby impacting her performance. Gaps in communication and follow-up led to a push for additional training. + +- **2023:** Meets Expectations + After attending workshops focused on conflict resolution, Samantha Greene successfully improved her handling of employee grievances, though minor issues still arose in managing multitasking within projects. + +## Compensation History +- **2020:** Base Salary - $55,000 + The entry-level salary matched industry standards for HR Coordinators with limited experience. + +- **2021:** Base Salary - $65,000 + Following her promotion, Samantha Greene received a raise commensurate with her new responsibilities. + +- **2022:** Base Salary - $65,000 + No increase as a result of performance concerns; however, Samantha Greene continued to receive positive feedback for her participation in diversity initiatives. + +- **2023:** Base Salary - $70,000 + Recognized for substantial improvement in employee relations management and contributions to company culture, leading to a well-deserved increase. + +## Other HR Notes +- Samantha Greene has expressed interest in pursuing an HR certification (SHRM-CP) to further her career growth within Insurellm. +- Participated in Insurellm's employee wellness program, promoting mental health resources among staff. +- Actively volunteers with local nonprofits and encourages staff involvement in community outreach programs, enhancing Insurellm's corporate social responsibility initiatives. + +Samantha Greene is a valuable asset to Insurellm, continuously working on professional development and contributing to a supportive workplace culture. \ No newline at end of file diff --git a/week5/knowledge-base/employees/Samuel Trenton.md b/week5/knowledge-base/employees/Samuel Trenton.md new file mode 100644 index 0000000..8452765 --- /dev/null +++ b/week5/knowledge-base/employees/Samuel Trenton.md @@ -0,0 +1,53 @@ +# HR Record + +# Samuel Trenton + +## Summary +- **Date of Birth:** April 12, 1989 +- **Job Title:** Senior Data Scientist +- **Location:** Austin, Texas + +## Insurellm Career Progression +- **January 2020 - Present:** Senior Data Scientist + *Promoted for demonstrating exceptional analytical skills and leadership potential. Led several projects that improved customer segmentation strategies, resulting in a 15% increase in customer retention.* + +- **June 2018 - December 2019:** Data Scientist + *Joined the Insurellm team and worked on developing predictive modeling techniques to assess risk for both B2B and B2C customers. Received recognition for the success of the "Risk Assessment Model" project.* + +- **August 2016 - May 2018:** Junior Data Analyst + *Started at Insurellm as a Junior Data Analyst, focusing on data cleaning and preliminary analysis of customer data. Received training in various data visualization techniques, which aided in the transition to a Data Scientist role.* + +## Annual Performance History +- **2023:** Rating: 4.5/5 + *Samuel exceeded expectations, successfully leading a cross-departmental project on AI-driven underwriting processes.* + +- **2022:** Rating: 3.0/5 + *Some challenges in meeting deadlines and collaboration with the engineering team. Received constructive feedback and participated in a team communication workshop.* + +- **2021:** Rating: 4.0/5 + *There was notable improvement in performance. Worked to enhance model accuracy, leading to improved risk assessment outcomes for B2C customers.* + +- **2020:** Rating: 3.5/5 + *Exhibited a solid performance during the initial year as a Senior Data Scientist but had struggles adapting to new leadership expectations.* + +## Compensation History +- **2023:** Base Salary: $115,000 + Bonus: $15,000 + *Annual bonus based on successful project completions and performance metrics.* + +- **2022:** Base Salary: $110,000 + Bonus: $10,000 + *Slight decrease in bonus due to performance challenges during the year.* + +- **2021:** Base Salary: $105,000 + Bonus: $12,000 + *Merit-based increase, reflecting consistent contributions to the data science team.* + +- **2020:** Base Salary: $100,000 + Bonus: $8,000 + *Initial compensation as Senior Data Scientist, with a focus on building rapport with cross-functional teams.* + +## Other HR Notes +- **Professional Development:** Completed several workshops on machine learning and AI applications in insurance. Currently pursuing an online certification in deep learning. + +- **Engagement in Company Culture:** Regularly participates in team-building events and contributes to the internal newsletter, sharing insights on data science trends. + +- **Areas for Improvement:** Collaboration with engineering teams has been noted as an area needing focus. Samuel has expressed a desire to work closely with tech teams to align data initiatives better. + +- **Personal Interests:** Has a keen interest in hiking and photography, often sharing his photography from weekend hikes with colleagues, fostering positive team relationships. \ No newline at end of file diff --git a/week5/knowledge-base/products/Carllm.md b/week5/knowledge-base/products/Carllm.md new file mode 100644 index 0000000..1d71944 --- /dev/null +++ b/week5/knowledge-base/products/Carllm.md @@ -0,0 +1,67 @@ +# Product Summary + +# Carllm + +## Summary + +Carllm is an innovative auto insurance product developed by Insurellm, designed to streamline the way insurance companies offer coverage to their customers. Powered by cutting-edge artificial intelligence, Carllm utilizes advanced algorithms to deliver personalized auto insurance solutions, ensuring optimal coverage while minimizing costs. With a robust infrastructure that supports both B2B and B2C customers, Carllm redefines the auto insurance landscape and empowers insurance providers to enhance customer satisfaction and retention. + +## Features + +- **AI-Powered Risk Assessment**: Carllm leverages artificial intelligence to analyze driver behavior, vehicle conditions, and historical claims data. This enables insurers to make informed decisions and set competitive premiums that reflect true risk profiles. + +- **Instant Quoting**: With Carllm, insurance companies can offer near-instant quotes to customers, enhancing the customer experience. The AI engine processes data in real-time, drastically reducing the time it takes to generate quotes. + +- **Customizable Coverage Plans**: Carllm allows insurers to create flexible and tailored insurance packages based on individual customer needs. This customization improves customer engagement and retention. + +- **Fraud Detection**: The product incorporates advanced analytics to identify potentially fraudulent claims, significantly reducing the risk of losses for insurance providers. + +- **Customer Insights Dashboard**: Carllm provides insurers with a powerful dashboard that offers deep insights into customer behavior, claims patterns, and market trends, enabling informed decision-making and strategic planning. + +- **Mobile Integration**: Carllm is designed to work seamlessly with mobile applications, providing both insurers and end-users access to policy management and claims reporting on the go. + +- **Automated Customer Support**: Leveraging AI chatbots, Carllm offers 24/7 customer support, helping to resolve inquiries quickly and efficiently, thus improving customer satisfaction. + +## Pricing + +Carllm is offered under a subscription-based pricing model tailored to meet the needs of insurance companies of all sizes. Our pricing tiers are designed to provide maximum flexibility and value: + +- **Basic Tier**: $1,000/month + - Ideal for small insurance firms. + - Access to core features and standard reporting. + +- **Professional Tier**: $2,500/month + - For medium-sized companies. + - All Basic Tier features plus advanced analytics and fraud detection. + +- **Enterprise Tier**: $5,000/month + - Customized solutions for large insurance firms. + - Comprehensive support, full feature access, and integration with existing systems. + +Contact our sales team for a personalized quote and discover how Carllm can transform your auto insurance offerings! + +## 2025-2026 Roadmap + +In our commitment to continuous improvement and innovation, Insurellm has outlined the following roadmap for Carllm: + +### Q1 2025: Launch Feature Enhancements +- **Expanded data integrations** for better risk assessment. +- **Enhanced fraud detection algorithms** to reduce losses. + +### Q2 2025: Customer Experience Improvements +- Launch of a new **mobile app** for end-users. +- Introduction of **telematics-based pricing** to provide even more tailored coverage options. + +### Q3 2025: Global Expansion +- Begin pilot programs for international insurance markets. +- Collaborate with local insurers to offer compliant, localized versions of Carllm. + +### Q4 2025: AI and Machine Learning Upgrades +- Implement next-gen machine learning models for predictive analysis. +- Roll out customer insights dashboard updates based on user feedback. + +### 2026: Scaling and Partnerships +- Increase partnerships with automakers for integrated insurance solutions. +- Enhance the **AI customer support system** to include multi-language support. + +Carllm is not just an auto insurance product; it is a transformative tool for the insurance industry. Join us on this exciting journey as we redefine the future of auto insurance with technology and customer-centric solutions. \ No newline at end of file diff --git a/week5/knowledge-base/products/Homellm.md b/week5/knowledge-base/products/Homellm.md new file mode 100644 index 0000000..c8c8c89 --- /dev/null +++ b/week5/knowledge-base/products/Homellm.md @@ -0,0 +1,45 @@ +# Product Summary + +# Homellm + +## Summary +Homellm is an innovative home insurance product developed by Insurellm that leverages advanced AI technology to revolutionize the way insurance providers offer coverage to homeowners. Designed for both B2B and B2C segments, Homellm empowers insurers to provide personalized, data-driven policies, enhancing customer experience while minimizing risk and operational costs. By integrating seamlessly with existing systems, Homellm helps insurance companies streamline their processes and stay competitive in the ever-evolving insurance industry. + +## Features +### 1. AI-Powered Risk Assessment +Homellm utilizes sophisticated AI algorithms to analyze vast datasets, allowing insurance companies to assess risks accurately. This feature provides real-time insights for underwriting decisions, enabling insurers to tailor policies to individual customer needs. + +### 2. Dynamic Pricing Model +With Homellm's innovative dynamic pricing model, insurance providers can offer flexible premiums based on real-time risk evaluations and historical data. This adaptability ensures that customers pay a fair price that accurately reflects their unique risk profile. + +### 3. Instant Claim Processing +The AI-driven claims management system in Homellm automates the entire claims process, reducing processing time from weeks to hours. Insurers can resolve claims quickly and efficiently, leading to enhanced customer satisfaction. + +### 4. Predictive Maintenance Alerts +Homellm incorporates predictive analytics to advise homeowners on potential risks and maintenance needs. By preventing issues before they arise, this feature helps customers minimize hazards, lowering the likelihood of claims. + +### 5. Multi-Channel Integration +Homellm seamlessly integrates into existing insurance platforms, providing a centralized hub for managing customer policies and claims. Insurance providers can easily access customer data, allowing for improved service delivery across various channels. + +### 6. Customer Portal +A user-friendly online portal and mobile application enables customers to manage their policies, submit claims, and view coverage details 24/7. Homellm prioritizes transparency and ease of use, helping insurers foster trust and long-term relationships with their customers. + +## Pricing +At Insurellm, we believe in providing value without compromising quality. The pricing for Homellm is structured based on the size of the insurance provider and the level of customization required. + +- **Basic Tier:** Starting at $5,000/month for small insurers with basic integration features. +- **Standard Tier:** Starting at $10,000/month for medium-sized insurers including advanced analytics and reporting tools. +- **Enterprise Tier:** Custom pricing for large insurance companies that require full customization, dedicated support, and additional features, such as enterprise-grade security and compliance. + +All tiers include a comprehensive training program and ongoing updates to ensure optimal performance. + +## Roadmap +The development roadmap for Homellm includes the following key milestones: + +- **Q1 2024:** Launch of Homellm version 1.0, featuring core functionalities and integrations. +- **Q3 2024:** Introduction of enhanced analytics capabilities, including visualization tools and advanced reporting features. +- **Q1 2025:** Release of Homellm version 2.0, with expanded predictive maintenance alerts and automated underwriting processes. +- **Q3 2025:** Establish partnerships with IoT device manufacturers to provide integrated solutions for proactive risk management. +- **Q1 2026:** Ongoing improvements based on user feedback and industry trends, ensuring that Homellm remains at the forefront of home insurance technology. + +With Homellm, Insurellm is committed to transforming the landscape of home insurance, ensuring both innovation and reliability for all insurance providers and their customers. Explore the future of home insurance today with Homellm! \ No newline at end of file diff --git a/week5/knowledge-base/products/Markellm.md b/week5/knowledge-base/products/Markellm.md new file mode 100644 index 0000000..96af8ad --- /dev/null +++ b/week5/knowledge-base/products/Markellm.md @@ -0,0 +1,55 @@ +# Product Summary + +# Markellm + +## Summary + +Markellm is an innovative two-sided marketplace designed to seamlessly connect consumers with insurance companies. Powered by advanced matching AI, Markellm transforms the insurance shopping experience, making it more efficient, personalized, and accessible. Whether you're a homeowner searching for the best rates on home insurance or an insurer looking to reach new customers, Markellm acts as the ultimate bridge, delivering tailored solutions for all parties involved. With a user-friendly interface and powerful algorithms, Markellm not only saves time but also enhances decision-making in the often-complex insurance landscape. + +## Features + +- **AI-Powered Matching**: Markellm utilizes sophisticated AI algorithms to match consumers with the most suitable insurance products based on their individual needs and preferences. This ensures that both parties get the best possible options. + +- **User-Friendly Interface**: Designed with user experience in mind, Markellm features an intuitive interface that allows consumers to easily browse and compare various insurance offerings from multiple providers. + +- **Real-Time Quotes**: Consumers can receive real-time quotes from different insurance companies, empowering them to make informed decisions quickly without endless back-and-forth communication. + +- **Customized Recommendations**: Based on user profiles and preferences, Markellm provides personalized insurance recommendations, ensuring consumers find the right coverage at competitive rates. + +- **Secure Transactions**: Markellm prioritizes security, employing robust encryption methods to ensure that all transactions and data exchanges are safe and secure. + +- **Customer Support**: Our dedicated support team is always available to assist both consumers and insurers throughout the process, providing guidance and answering any questions that may arise. + +- **Data Insights**: Insurers gain access to valuable data insights through Markellm's analytics dashboard, helping them understand market trends and consumer behavior to refine their offerings. + +## Pricing + +At Markellm, we believe in transparency and flexibility. Our pricing structure is designed to accommodate different types of users—whether you're a consumer seeking insurance or an insurance provider seeking customers. + +### For Consumers: +- **Free Membership**: Access to the marketplace at no cost, allowing unlimited browsing and comparisons. +- **Premium Features**: Optional subscription at $9.99/month for advanced analytics on choices, priority customer support, and enhanced customization options. + +### For Insurance Companies: +- **Basic Listing Fee**: $199/month for a featured listing on the platform, providing exposure to thousands of potential customers. +- **Performance-Based Pricing**: Option for variable pricing based on successful customer acquisitions— pay $25 per lead generated through Markellm. + +## 2025-2026 Roadmap + +### Q1 2025 +- Launch a mobile app version of Markellm, making it even easier for consumers and insurers to connect on-the-go. +- Introduce a referral program that rewards users for promoting Markellm to their network. + +### Q2 2025 +- Expand the marketplace to include additional insurance products, such as life and health insurance. +- Partner with third-party data aggregators to enhance the accuracy of our AI matching capabilities. + +### Q3 2025 +- Initiate a comprehensive marketing campaign targeting both consumers and insurers to increase user acquisition and brand awareness. +- Release user testimonials and case studies showcasing successful matches made through Markellm. + +### Q4 2026 +- Implement machine learning enhancements to our AI algorithm, further increasing the precision and personalization of matches. +- Explore international expansion opportunities, launching in select markets outside the US. + +Markellm is committed to improving the insurance experience for both consumers and providers. By leveraging technology and user insights, we aim to become the leading platform in the insurance marketplace ecosystem. Join us on this exciting journey towards smarter, more efficient insurance solutions! \ No newline at end of file diff --git a/week5/knowledge-base/products/Rellm.md b/week5/knowledge-base/products/Rellm.md new file mode 100644 index 0000000..95b9d08 --- /dev/null +++ b/week5/knowledge-base/products/Rellm.md @@ -0,0 +1,60 @@ +# Product Summary + +# Rellm: AI-Powered Enterprise Reinsurance Solution + +## Summary + +Rellm is an innovative enterprise reinsurance product developed by Insurellm, designed to transform the way reinsurance companies operate. Harnessing the power of artificial intelligence, Rellm offers an advanced platform that redefines risk management, enhances decision-making processes, and optimizes operational efficiencies within the reinsurance industry. With seamless integrations and robust analytics, Rellm enables insurers to proactively manage their portfolios and respond to market dynamics with agility. + +## Features + +### AI-Driven Analytics +Rellm utilizes cutting-edge AI algorithms to provide predictive insights into risk exposures, enabling users to forecast trends and make informed decisions. Its real-time data analysis empowers reinsurance professionals with actionable intelligence. + +### Seamless Integrations +Rellm's architecture is designed for effortless integration with existing systems. Whether it's policy management, claims processing, or financial reporting, Rellm connects seamlessly with diverse data sources to create a unified ecosystem. + +### Risk Assessment Module +The comprehensive risk assessment module within Rellm allows insurers to evaluate risk profiles accurately. By leveraging historical data and advanced modeling techniques, Rellm provides a clear picture of potential liabilities and expected outcomes. + +### Customizable Dashboard +Rellm features a customizable dashboard that presents key metrics and performance indicators in an intuitive interface. Users can tailor their view to focus on what matters most to their business, enhancing user experience and productivity. + +### Regulatory Compliance Tools +Rellm includes built-in compliance tracking features to help organizations meet local and international regulatory standards. This ensures that reinsurance practices remain transparent and accountable. + +### Client and Broker Portals +Rellm offers dedicated portals for both clients and brokers, facilitating real-time communication and documentation sharing. This strengthens partnerships and drives operational excellence across the board. + +## Pricing + +Insurellm offers flexible pricing plans for Rellm to cater to various business needs: + +- **Basic Plan**: $5,000/month + - Includes access to core features and standard integrations. + +- **Professional Plan**: $10,000/month + - Includes all features, advanced integrations, and priority customer support. + +- **Enterprise Plan**: Custom pricing + - Tailored solutions with personalized features, extensive integrations, and dedicated account management. + +Join the growing number of organizations leveraging Rellm to enhance their reinsurance processes while driving profitability and compliance. + +## 2025-2026 Roadmap + +At Insurellm, we are committed to the continuous improvement of Rellm. Our roadmap for 2025-2026 includes: + +- **Q3 2025**: + - Launch of the Rellm Mobile App for on-the-go insights and management. + - Introduction of augmented reality (AR) features for interactive risk assessments. + +- **Q1 2026**: + - Deployment of advanced machine learning models for even more accurate risk predictions. + - Expansion of integration capabilities to support emerging technologies in the insurance sector. + +- **Q3 2026**: + - Release of a community platform for Rellm users to exchange insights, tips, and best practices. + - Launch of Rellm 2.0, featuring enhanced user interface and premium features based on user feedback. + +Experience the future of reinsurance with Rellm, where innovation meets reliability. Let Insurellm help you navigate the complexities of the reinsurance market smarter and faster. \ No newline at end of file diff --git a/week6/day1.ipynb b/week6/day1.ipynb new file mode 100644 index 0000000..4b2ef7f --- /dev/null +++ b/week6/day1.ipynb @@ -0,0 +1,533 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "28a0673e-96b5-43f2-8a8b-bd033bf851b0", + "metadata": {}, + "source": [ + "# The Big Project begins!!\n", + "\n", + "## The Product Pricer\n", + "\n", + "A model that can estimate how much something costs, from its description.\n", + "\n", + "## Data Curation Part 1\n", + "\n", + "Today we'll begin our scrubbing and curating our dataset by focusing on a subset of the data: Home Appliances.\n", + "\n", + "The dataset is here: \n", + "https://huggingface.co/datasets/McAuley-Lab/Amazon-Reviews-2023\n", + "\n", + "And the folder with all the product datasets is here: \n", + "https://huggingface.co/datasets/McAuley-Lab/Amazon-Reviews-2023/tree/main/raw/meta_categories" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "67cedf85-8125-4322-998e-9375fe745597", + "metadata": {}, + "outputs": [], + "source": [ + "# imports\n", + "\n", + "import os\n", + "from dotenv import load_dotenv\n", + "from huggingface_hub import login\n", + "from datasets import load_dataset, Dataset, DatasetDict\n", + "from items import Item\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "7390a6aa-79cb-4dea-b6d7-de7e4b13e472", + "metadata": {}, + "outputs": [], + "source": [ + "# environment\n", + "\n", + "load_dotenv()\n", + "os.environ['OPENAI_API_KEY'] = os.getenv('OPENAI_API_KEY', 'your-key-if-not-using-env')\n", + "os.environ['ANTHROPIC_API_KEY'] = os.getenv('ANTHROPIC_API_KEY', 'your-key-if-not-using-env')\n", + "os.environ['HF_TOKEN'] = os.getenv('HF_TOKEN', 'your-key-if-not-using-env')" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "0732274a-aa6a-44fc-aee2-40dc8a8e4451", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Token is valid (permission: write).\n", + "Your token has been saved in your configured git credential helpers (osxkeychain).\n", + "Your token has been saved to /Users/ed/.cache/huggingface/token\n", + "Login successful\n" + ] + } + ], + "source": [ + "# Log in to HuggingFace\n", + "\n", + "hf_token = os.environ['HF_TOKEN']\n", + "login(hf_token, add_to_git_credential=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "1adcf323-de9d-4c24-a9c3-d7ae554d06ca", + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "049885d4-fdfa-4ff0-a932-4a2ed73928e2", + "metadata": {}, + "outputs": [], + "source": [ + "# Load in our dataset\n", + "\n", + "dataset = load_dataset(\"McAuley-Lab/Amazon-Reviews-2023\", f\"raw_meta_Appliances\", split=\"full\", trust_remote_code=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "cde08860-b393-49b8-a620-06a8c0990a64", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of Appliances: 94,327\n" + ] + } + ], + "source": [ + "print(f\"Number of Appliances: {len(dataset):,}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "3e29a5ab-ca61-41cc-9b33-22d374681b85", + "metadata": {}, + "outputs": [], + "source": [ + "# Investigate a particular datapoint\n", + "datapoint = dataset[2]\n" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "40a4e10f-6710-4780-a95e-6c0030c3fb87", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Clothes Dryer Drum Slide, General Electric, Hotpoint, WE1M333, WE1M504\n", + "['Brand new dryer drum slide, replaces General Electric, Hotpoint, RCA, WE1M333, WE1M504.']\n", + "[]\n", + "{\"Manufacturer\": \"RPI\", \"Part Number\": \"WE1M333,\", \"Item Weight\": \"0.352 ounces\", \"Package Dimensions\": \"5.5 x 4.7 x 0.4 inches\", \"Item model number\": \"WE1M333,\", \"Is Discontinued By Manufacturer\": \"No\", \"Item Package Quantity\": \"1\", \"Batteries Included?\": \"No\", \"Batteries Required?\": \"No\", \"Best Sellers Rank\": {\"Tools & Home Improvement\": 1315213, \"Parts & Accessories\": 181194}, \"Date First Available\": \"February 25, 2014\"}\n", + "None\n" + ] + } + ], + "source": [ + "# Investigate\n", + "\n", + "print(datapoint[\"title\"])\n", + "print(datapoint[\"description\"])\n", + "print(datapoint[\"features\"])\n", + "print(datapoint[\"details\"])\n", + "print(datapoint[\"price\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "9d356c6f-b6e8-4e01-98cd-c562d132aafa", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "There are 46,726 with prices which is 49.5%\n" + ] + } + ], + "source": [ + "# How many have prices?\n", + "\n", + "prices = 0\n", + "for datapoint in dataset:\n", + " try:\n", + " price = float(datapoint[\"price\"])\n", + " if price > 0:\n", + " prices += 1\n", + " except ValueError as e:\n", + " pass\n", + "\n", + "print(f\"There are {prices:,} with prices which is {prices/len(dataset)*100:,.1f}%\")" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "bd890259-aa25-4097-9524-f91c2bdd719b", + "metadata": {}, + "outputs": [], + "source": [ + "# For those with prices, gather the price and the length\n", + "\n", + "prices = []\n", + "lengths = []\n", + "for datapoint in dataset:\n", + " try:\n", + " price = float(datapoint[\"price\"])\n", + " if price > 0:\n", + " prices.append(price)\n", + " contents = datapoint[\"title\"] + str(datapoint[\"description\"]) + str(datapoint[\"features\"]) + str(datapoint[\"details\"])\n", + " lengths.append(len(contents))\n", + " except ValueError as e:\n", + " pass" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "89078cb1-9679-4eb0-b295-599b8586bcd1", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the distribution of lengths\n", + "\n", + "plt.figure(figsize=(15, 6))\n", + "plt.title(f\"Lengths: Avg {sum(lengths)/len(lengths):,.0f} and highest {max(lengths):,}\\n\")\n", + "plt.xlabel('Length (chars)')\n", + "plt.ylabel('Count')\n", + "plt.hist(lengths, rwidth=0.7, color=\"lightblue\", bins=range(0, 6000, 100))\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "c38e0c43-9f7a-450e-a911-c94d37d9b9c3", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the distribution of prices\n", + "\n", + "plt.figure(figsize=(15, 6))\n", + "plt.title(f\"Prices: Avg {sum(prices)/len(prices):,.2f} and highest {max(prices):,}\\n\")\n", + "plt.xlabel('Price ($)')\n", + "plt.ylabel('Count')\n", + "plt.hist(prices, rwidth=0.7, color=\"orange\", bins=range(0, 1000, 10))\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "eabc7c61-0cd2-41f4-baa1-b85400bbf87f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "TurboChef BULLET Rapid Cook Electric Microwave Convection Oven\n" + ] + } + ], + "source": [ + "# So what is this item??\n", + "\n", + "for datapoint in dataset:\n", + " try:\n", + " price = float(datapoint[\"price\"])\n", + " if price > 21000:\n", + " print(datapoint['title'])\n", + " except ValueError as e:\n", + " pass" + ] + }, + { + "cell_type": "markdown", + "id": "3668ae25-3461-4e6e-9ccb-221c1925a497", + "metadata": {}, + "source": [ + "This is the closest I can find - looks like it's going at a bargain price!!\n", + "\n", + "https://www.amazon.com/TurboChef-Electric-Countertop-Microwave-Convection/dp/B01D05U9NO/" + ] + }, + { + "cell_type": "markdown", + "id": "a0d02f58-23f6-4f81-a779-7c0555afd13d", + "metadata": {}, + "source": [ + "## Now it's time to curate our dataset\n", + "\n", + "We select items that cost between 1 and 999 USD\n", + "\n", + "We will be create Item instances, which truncate the text to fit within 180 tokens using the right Tokenizer\n", + "\n", + "And will create a prompt to be used during Training.\n", + "\n", + "Items will be rejected if they don't have sufficient characters." + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "430b432f-b769-41da-9506-a238cb5cf1b6", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "There are 29,191 items\n" + ] + } + ], + "source": [ + "# Create an Item object for each with a price\n", + "\n", + "items = []\n", + "for datapoint in dataset:\n", + " try:\n", + " price = float(datapoint[\"price\"])\n", + " if price > 0:\n", + " item = Item(datapoint, price)\n", + " if item.include:\n", + " items.append(item)\n", + " except ValueError as e:\n", + " pass\n", + "\n", + "print(f\"There are {len(items):,} items\")" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "0d570794-6f1d-462e-b567-a46bae3556a1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Look at the first item\n", + "\n", + "items[1]" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "70219e99-22cc-4e08-9121-51f9707caef0", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "How much does this cost to the nearest dollar?\n", + "\n", + "Samsung Assembly Ice Maker-Mech\n", + "This is an O.E.M. Authorized part, fits with various Samsung brand models, oem part # this product in manufactured in south Korea. This is an O.E.M. Authorized part Fits with various Samsung brand models Oem part # This is a Samsung replacement part Part Number This is an O.E.M. part Manufacturer J&J International Inc., Part Weight 1 pounds, Dimensions 18 x 12 x 6 inches, model number Is Discontinued No, Color White, Material Acrylonitrile Butadiene Styrene, Quantity 1, Certification Certified frustration-free, Included Components Refrigerator-replacement-parts, Rank Tools & Home Improvement Parts & Accessories 31211, Available April 21, 2011\n", + "\n", + "Price is $118.00\n" + ] + } + ], + "source": [ + "# Investigate the prompt that will be used during training - the model learns to complete this\n", + "\n", + "print(items[100].prompt)" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "d9998b8d-d746-4541-9ac2-701108e0e8fb", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "How much does this cost to the nearest dollar?\n", + "\n", + "Samsung Assembly Ice Maker-Mech\n", + "This is an O.E.M. Authorized part, fits with various Samsung brand models, oem part # this product in manufactured in south Korea. This is an O.E.M. Authorized part Fits with various Samsung brand models Oem part # This is a Samsung replacement part Part Number This is an O.E.M. part Manufacturer J&J International Inc., Part Weight 1 pounds, Dimensions 18 x 12 x 6 inches, model number Is Discontinued No, Color White, Material Acrylonitrile Butadiene Styrene, Quantity 1, Certification Certified frustration-free, Included Components Refrigerator-replacement-parts, Rank Tools & Home Improvement Parts & Accessories 31211, Available April 21, 2011\n", + "\n", + "Price is $\n" + ] + } + ], + "source": [ + "# Investigate the prompt that will be used during testing - the model has to complete this\n", + "\n", + "print(items[100].test_prompt())" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "7a116369-335a-412b-b70c-2add6675c2e3", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the distribution of token counts\n", + "\n", + "tokens = [item.token_count for item in items]\n", + "plt.figure(figsize=(15, 6))\n", + "plt.title(f\"Token counts: Avg {sum(tokens)/len(tokens):,.1f} and highest {max(tokens):,}\\n\")\n", + "plt.xlabel('Length (tokens)')\n", + "plt.ylabel('Count')\n", + "plt.hist(tokens, rwidth=0.7, color=\"green\", bins=range(0, 300, 10))\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "8d1744aa-71e7-435e-876e-91f06583211a", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the distribution of prices\n", + "\n", + "prices = [item.price for item in items]\n", + "plt.figure(figsize=(15, 6))\n", + "plt.title(f\"Prices: Avg {sum(prices)/len(prices):,.1f} and highest {max(prices):,}\\n\")\n", + "plt.xlabel('Price ($)')\n", + "plt.ylabel('Count')\n", + "plt.hist(prices, rwidth=0.7, color=\"purple\", bins=range(0, 300, 10))\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "2b58dc61-747f-46f7-b9e0-c205db4f3e5e", + "metadata": {}, + "source": [ + "## Sidenote\n", + "\n", + "If you like the variety of colors that matplotlib can use in its charts, you should bookmark this:\n", + "\n", + "https://matplotlib.org/stable/gallery/color/named_colors.html\n", + "\n", + "## Todos for you:\n", + "\n", + "- Review the Item class and check you're comfortable with it\n", + "- Examine some Item objects, look at the training prompt with `item.prompt` and test prompt with `item.test_prompt()`\n", + "- Make some more histograms to better understand the data\n", + "\n", + "## Next time we will combine with many other types of product\n", + "\n", + "Like Electronics and Automotive. This will give us a massive dataset, and we can then be picky about choosing a subset that will be most suitable for training." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "01401283-d111-40a7-96e5-0ca05bb20857", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/week6/day2.ipynb b/week6/day2.ipynb new file mode 100644 index 0000000..ee42bcc --- /dev/null +++ b/week6/day2.ipynb @@ -0,0 +1,935 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "28a0673e-96b5-43f2-8a8b-bd033bf851b0", + "metadata": {}, + "source": [ + "# The Product Pricer Continued\n", + "\n", + "A model that can estimate how much something costs, from its description.\n", + "\n", + "## Data Curation Part 2\n", + "\n", + "Today we'll extend our dataset to a greater coverage, and craft it into an excellent dataset for training.\n", + "\n", + "The dataset is here: \n", + "https://huggingface.co/datasets/McAuley-Lab/Amazon-Reviews-2023\n", + "\n", + "And the folder with all the product datasets is here: \n", + "https://huggingface.co/datasets/McAuley-Lab/Amazon-Reviews-2023/tree/main/raw/meta_categories" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "67cedf85-8125-4322-998e-9375fe745597", + "metadata": {}, + "outputs": [], + "source": [ + "# imports\n", + "\n", + "import os\n", + "import random\n", + "from dotenv import load_dotenv\n", + "from huggingface_hub import login\n", + "from datasets import load_dataset, Dataset, DatasetDict\n", + "from items import Item\n", + "from loaders import ItemLoader\n", + "import matplotlib.pyplot as plt\n", + "from collections import Counter, defaultdict\n", + "import numpy as np\n", + "import pickle" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "7390a6aa-79cb-4dea-b6d7-de7e4b13e472", + "metadata": {}, + "outputs": [], + "source": [ + "# environment\n", + "\n", + "load_dotenv()\n", + "os.environ['OPENAI_API_KEY'] = os.getenv('OPENAI_API_KEY', 'your-key-if-not-using-env')\n", + "os.environ['ANTHROPIC_API_KEY'] = os.getenv('ANTHROPIC_API_KEY', 'your-key-if-not-using-env')\n", + "os.environ['HF_TOKEN'] = os.getenv('HF_TOKEN', 'your-key-if-not-using-env')" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "0732274a-aa6a-44fc-aee2-40dc8a8e4451", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Token is valid (permission: write).\n", + "Your token has been saved in your configured git credential helpers (osxkeychain).\n", + "Your token has been saved to /Users/ed/.cache/huggingface/token\n", + "Login successful\n" + ] + } + ], + "source": [ + "# Log in to HuggingFace\n", + "\n", + "hf_token = os.environ['HF_TOKEN']\n", + "login(hf_token, add_to_git_credential=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "1adcf323-de9d-4c24-a9c3-d7ae554d06ca", + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "id": "01065d69-765c-42c8-9f90-68b8c8754068", + "metadata": {}, + "source": [ + "## The ItemLoader code\n", + "\n", + "Look in loaders.py - there's some useful code to make life easier for us" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "049885d4-fdfa-4ff0-a932-4a2ed73928e2", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading dataset Appliances\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|███████████████████████████████████████████| 95/95 [00:11<00:00, 8.48it/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Completed Appliances with 28,625 datapoints in 0.2 mins\n" + ] + } + ], + "source": [ + "# Load in the same dataset as last time\n", + "\n", + "items = ItemLoader(\"Appliances\").load()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "ffba41b5-ddb6-4359-9790-9b2db900eee1", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "How much does this cost to the nearest dollar?\n", + "\n", + "Door Pivot Block - Compatible Kenmore KitchenAid Maytag Whirlpool Refrigerator - Replaces - Quick DIY Repair Solution\n", + "Pivot Block For Vernicle Mullion Strip On Door - A high-quality exact equivalent for part numbers and Compatibility with major brands - Door Guide is compatible with Whirlpool, Amana, Dacor, Gaggenau, Hardwick, Jenn-Air, Kenmore, KitchenAid, and Maytag. Quick DIY repair - Refrigerator Door Guide Pivot Block Replacement will help if your appliance door doesn't open or close. Wear work gloves to protect your hands during the repair process. Attentive support - If you are uncertain about whether the block fits your refrigerator, we will help. We generally put forth a valiant effort to guarantee you are totally\n", + "\n", + "Price is $17.00\n" + ] + } + ], + "source": [ + "# Look for a familiar item..\n", + "print(items[1].prompt)" + ] + }, + { + "cell_type": "markdown", + "id": "e2b6dc50-ac5c-4cf2-af2e-968ed8ef86d7", + "metadata": {}, + "source": [ + "## Now to SCALE UP\n", + "\n", + "Let's look at all datasets of all the items that you might find in a large home retail store - electrical, electronic, office and related, but not clothes / beauty / books." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "d1d06cd3-f3c2-44f0-a9f2-13b54ff8be5c", + "metadata": {}, + "outputs": [], + "source": [ + "dataset_names = [\n", + " \"Automotive\",\n", + " \"Electronics\",\n", + " \"Office_Products\",\n", + " \"Tools_and_Home_Improvement\",\n", + " \"Cell_Phones_and_Accessories\",\n", + " \"Toys_and_Games\",\n", + " \"Appliances\",\n", + " \"Musical_Instruments\",\n", + "]" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "aa8fd0f0-509a-4298-8fcc-e499a061e1be", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading dataset Automotive\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|███████████████████████████████████████| 2004/2004 [04:52<00:00, 6.84it/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Completed Automotive with 911,688 datapoints in 5.0 mins\n", + "Loading dataset Electronics\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|███████████████████████████████████████| 1611/1611 [02:24<00:00, 11.17it/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Completed Electronics with 443,473 datapoints in 2.5 mins\n", + "Loading dataset Office_Products\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|█████████████████████████████████████████| 711/711 [01:10<00:00, 10.06it/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Completed Office_Products with 240,394 datapoints in 1.2 mins\n", + "Loading dataset Tools_and_Home_Improvement\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|███████████████████████████████████████| 1474/1474 [02:46<00:00, 8.87it/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Completed Tools_and_Home_Improvement with 541,051 datapoints in 2.8 mins\n", + "Loading dataset Cell_Phones_and_Accessories\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|███████████████████████████████████████| 1289/1289 [01:30<00:00, 14.27it/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Completed Cell_Phones_and_Accessories with 238,869 datapoints in 1.6 mins\n", + "Loading dataset Toys_and_Games\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|█████████████████████████████████████████| 891/891 [01:33<00:00, 9.55it/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Completed Toys_and_Games with 340,479 datapoints in 1.6 mins\n", + "Loading dataset Appliances\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|███████████████████████████████████████████| 95/95 [00:12<00:00, 7.85it/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Completed Appliances with 28,625 datapoints in 0.2 mins\n", + "Loading dataset Musical_Instruments\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|█████████████████████████████████████████| 214/214 [00:20<00:00, 10.70it/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Completed Musical_Instruments with 66,829 datapoints in 0.4 mins\n" + ] + } + ], + "source": [ + "items = []\n", + "for dataset_name in dataset_names:\n", + " loader = ItemLoader(dataset_name)\n", + " items.extend(loader.load())\n", + "\n", + "# Now, time for a coffee break!!\n", + "# By the way, I put the biggest datasets first.. it gets faster." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "3e29a5ab-ca61-41cc-9b33-22d374681b85", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "A grand total of 2,811,408 items\n" + ] + } + ], + "source": [ + "print(f\"A grand total of {len(items):,} items\")" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "89078cb1-9679-4eb0-b295-599b8586bcd1", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the distribution of token counts again\n", + "\n", + "tokens = [item.token_count for item in items]\n", + "plt.figure(figsize=(15, 6))\n", + "plt.title(f\"Token counts: Avg {sum(tokens)/len(tokens):,.1f} and highest {max(tokens):,}\\n\")\n", + "plt.xlabel('Length (tokens)')\n", + "plt.ylabel('Count')\n", + "plt.hist(tokens, rwidth=0.7, color=\"skyblue\", bins=range(0, 300, 10))\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "c38e0c43-9f7a-450e-a911-c94d37d9b9c3", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the distribution of prices\n", + "\n", + "prices = [item.price for item in items]\n", + "plt.figure(figsize=(15, 6))\n", + "plt.title(f\"Prices: Avg {sum(prices)/len(prices):,.1f} and highest {max(prices):,}\\n\")\n", + "plt.xlabel('Price ($)')\n", + "plt.ylabel('Count')\n", + "plt.hist(prices, rwidth=0.7, color=\"blueviolet\", bins=range(0, 1000, 10))\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "eabc7c61-0cd2-41f4-baa1-b85400bbf87f", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "category_counts = Counter()\n", + "for item in items:\n", + " category_counts[item.category]+=1\n", + "\n", + "categories = category_counts.keys()\n", + "counts = [category_counts[category] for category in categories]\n", + "\n", + "# Bar chart by category\n", + "plt.figure(figsize=(15, 6))\n", + "plt.bar(categories, counts, color=\"goldenrod\")\n", + "plt.title('How many in each category')\n", + "plt.xlabel('Categories')\n", + "plt.ylabel('Count')\n", + "\n", + "plt.xticks(rotation=30, ha='right')\n", + "\n", + "# Add value labels on top of each bar\n", + "for i, v in enumerate(counts):\n", + " plt.text(i, v, f\"{v:,}\", ha='center', va='bottom')\n", + "\n", + "# Display the chart\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "e5b6e987-83ba-4262-a082-57c6b0741062", + "metadata": {}, + "source": [ + "# Objective\n", + "\n", + "Craft a dataset which is more balanced in terms of prices. Less heavily scewed to cheap items, with an average that's higher than $60. Try to balance out the categories - fewer Automotive items." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "3b9424c1-44e0-499a-b45e-a35246655469", + "metadata": {}, + "outputs": [], + "source": [ + "# Create a dict with a key of each price from $1 to $999\n", + "# And in the value, put a list of items with that price (to nearest round number)\n", + "\n", + "slots = defaultdict(list)\n", + "for item in items:\n", + " slots[round(item.price)].append(item)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "7805a7f1-4ad8-48f6-bea3-d64b64894804", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "There are 408,635 items in the sample\n" + ] + } + ], + "source": [ + "# Create a dataset called \"sample\" which tries to more evenly take from the range of prices\n", + "# And gives more weight to items from categories other than Automotive\n", + "# Set random seed for reproducibility\n", + "\n", + "np.random.seed(42)\n", + "random.seed(42)\n", + "sample = []\n", + "for i in range(1, 1000):\n", + " slot = slots[i]\n", + " if i>=240:\n", + " sample.extend(slot)\n", + " elif len(slot) <= 1200:\n", + " sample.extend(slot)\n", + " else:\n", + " weights = np.array([1 if item.category=='Automotive' else 5 for item in slot])\n", + " weights = weights / np.sum(weights)\n", + " selected_indices = np.random.choice(len(slot), size=1200, replace=False, p=weights)\n", + " selected = [slot[i] for i in selected_indices]\n", + " sample.extend(selected)\n", + "\n", + "print(f\"There are {len(sample):,} items in the sample\")" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "430b432f-b769-41da-9506-a238cb5cf1b6", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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gO/3001NXV5ctt9wyjRo1yrx583LeeeflO9/5TpJkypQpSZL27dvXO659+/Z55ZVXKjVNmzZNq1atGtR8fPyUKVPSrl27Budv165dpWZBzj///JxzzjlLf4EAAAAArPFW6hV0t99+e2655Zbcdttteeqpp3LTTTflkksuyU033VSvrqqqqt73oigajH3ap2sWVP9Zv3PGGWekrq6u8nnttdcW57IAAAAAoGKlXkH3P//zP/nBD36QQw45JEmyzTbb5JVXXsn555+fI444IrW1tUn+vQJugw02qBw3derUyqq62trazJkzJ9OmTau3im7q1KnZZZddKjVvvvlmg/O/9dZbDVbnfVJ1dXWqq6s//4UCAAAAsMZaqVfQffDBB1lrrfotNmrUKPPnz0+SdOrUKbW1tRkxYkRlfs6cORk5cmQlfOvatWuaNGlSr2by5MmZMGFCpaZbt26pq6vLmDFjKjVPPvlk6urqKjUAAAAAsDys1CvoDjjggJx33nnZaKON8qUvfSlPP/10Lrvsshx11FFJ/r0tdcCAARk8eHA6d+6czp07Z/DgwVl77bXTt2/fJElNTU2OPvronHrqqWnTpk1at26dgQMHZptttqm81XWrrbbKPvvsk/79++eXv/xlkuSYY45J7969vcEVAAAAgOVqpQ7ohgwZkh/96Ec57rjjMnXq1HTo0CHHHntsfvzjH1dqTjvttMyaNSvHHXdcpk2blp122ikPPvhgWrZsWam5/PLL07hx4xx88MGZNWtW9txzz9x4441p1KhRpebWW2/NSSedVHnba58+fTJ06NAVd7EAAAAArJFW6oCuZcuWueKKK3LFFVcstKaqqiqDBg3KoEGDFlrTrFmzDBkyJEOGDFloTevWrXPLLbd8jm4BAAAAYMmt1M+gAwAAAIDVnYAOAAAAAEokoAMAAACAEgnoAAAAAKBEAjoAAAAAKJGADgAAAABKJKADAAAAgBIJ6AAAAACgRAI6AAAAACiRgA4AAAAASiSgAwAAAIASCegAAAAAoEQCOgAAAAAokYAOAAAAAEokoAMAAACAEgnoAAAAAKBEAjoAAAAAKJGADgAAAABKJKADAAAAgBIJ6AAAAACgRAI6AAAAACiRgA4AAAAASiSgAwAAAIASCegAAAAAoEQCOgAAAAAokYAOAAAAAEokoAMAAACAEgnoAAAAAKBEAjoAAAAAKJGADgAAAABKJKADAAAAgBIJ6AAAAACgRAI6AAAAACiRgA4AAAAASiSgAwAAAIASCegAAAAAoEQCOgAAAAAoUeOyGwBg9VBVdcki54ti4ArqBAAAYNViBR0AAAAAlEhABwAAAAAlEtABAAAAQIkEdAAAAABQIgEdAAAAAJRIQAcAAAAAJRLQAQAAAECJBHQAAAAAUCIBHQAAAACUSEAHAAAAACUS0AEAAABAiQR0AAAAAFAiAR0AAAAAlEhABwAAAAAlEtABAAAAQIkEdAAAAABQIgEdAAAAAJRIQAcAAAAAJRLQAQAAAECJBHQAAAAAUCIBHQAAAACUSEAHAAAAACUS0AEAAABAiQR0AAAAAFAiAR0AAAAAlEhABwAAAAAlEtABAAAAQIkEdAAAAABQIgEdAAAAAJRIQAcAAAAAJRLQAQAAAECJBHQAAAAAUCIBHQAAAACUSEAHAAAAACUS0AEAAABAiQR0AAAAAFAiAR0AAAAAlEhABwAAAAAlalx2AwCwKFVVlyx0rigGrsBOAAAAlo+lCug23XTTjB07Nm3atKk3Pn369HzlK1/JSy+9tEyaA2D1JHQDAAD4/y3VFteXX3458+bNazA+e/bs/Otf//rcTQEAAADAmmKJVtDde++9lf/8xz/+MTU1NZXv8+bNy8MPP5xNNtlkmTUHAAAAAKu7JQroDjzwwCRJVVVVjjjiiHpzTZo0ySabbJJLL710mTUHAAAAAKu7JQro5s+fnyTp1KlTxo4dm7Zt2y6XpgAAAABgTbFUL4mYNGnSsu4DAAAAANZISxXQJcnDDz+chx9+OFOnTq2srPvY9ddf/7kbAwAAAIA1wVIFdOecc07OPffc7LDDDtlggw1SVVW1rPsCAAAAgDXCUgV0V199dW688cb069dvWfcDAAAAAGuUtZbmoDlz5mSXXXZZ1r0AAAAAwBpnqQK67373u7ntttuWdS8AAAAAsMZZqi2uH374Ya655po89NBD2XbbbdOkSZN685dddtkyaQ4AAAAAVndLFdA988wz2W677ZIkEyZMqDfnhREAAAAAsPiWKqB79NFHl3UfAAAAALBGWqpn0AEAAAAAy8ZSraDbY489FrmV9ZFHHlnqhgAAAABgTbJUAd3Hz5/72Ny5czN+/PhMmDAhRxxxxLLoCwAAAADWCEsV0F1++eULHB80aFDee++9z9UQAAAAAKxJlukz6A477LBcf/31y/InAQAAAGC1tkwDutGjR6dZs2bL8icBAAAAYLW2VFtcDzrooHrfi6LI5MmT89e//jU/+tGPlkljAAAAALAmWKqArqampt73tdZaK1tssUXOPffc9OzZc5k0BgAAAABrgqUK6G644YZl3QcAAAAArJGWKqD72Lhx4/L888+nqqoqW2+9dbbffvtl1RcAAAAArBGWKqCbOnVqDjnkkPzpT3/Keuutl6IoUldXlz322CPDhg3L+uuvv6z7BAAAAIDV0lK9xfXEE0/MjBkzMnHixLz77ruZNm1aJkyYkBkzZuSkk05a1j0CAAAAwGprqVbQDR8+PA899FC22mqrytjWW2+dX/ziF14SAQAAAABLYKlW0M2fPz9NmjRpMN6kSZPMnz//czcFAAAAAGuKpQro/uM//iMnn3xy3njjjcrYv/71r3z/+9/PnnvuucyaAwAAAIDV3VIFdEOHDs3MmTOzySabZLPNNsvmm2+eTp06ZebMmRkyZMiy7hEAAAAAVltL9Qy6jh075qmnnsqIESPy97//PUVRZOutt85ee+21rPsDAAAAgNXaEq2ge+SRR7L11ltnxowZSZK99947J554Yk466aR89atfzZe+9KU89thjy6VRAAAAAFgdLVFAd8UVV6R///5Zd911G8zV1NTk2GOPzWWXXbbMmgMAAACA1d0SBXR/+9vfss8++yx0vmfPnhk3btznbgoAAAAA1hRLFNC9+eabadKkyULnGzdunLfeeutzN/VJ//rXv3LYYYelTZs2WXvttbPddtvVCwGLosigQYPSoUOHNG/ePD169MjEiRPr/cbs2bNz4oknpm3btmnRokX69OmT119/vV7NtGnT0q9fv9TU1KSmpib9+vXL9OnTl+m1AAAAAMCnLVFA94UvfCHPPvvsQuefeeaZbLDBBp+7qY9NmzYtu+66a5o0aZIHHnggzz33XC699NKst956lZqLLrool112WYYOHZqxY8emtrY2e++9d2bOnFmpGTBgQO6+++4MGzYsjz/+eN5777307t078+bNq9T07ds348ePz/DhwzN8+PCMHz8+/fr1W2bXAgAAAAALskRvcd1vv/3y4x//OPvuu2+aNWtWb27WrFk5++yz07t372XW3IUXXpiOHTvmhhtuqIxtsskmlf9cFEWuuOKKnHnmmTnooIOSJDfddFPat2+f2267Lccee2zq6upy3XXX5eabb668ZfaWW25Jx44d89BDD6VXr155/vnnM3z48DzxxBPZaaedkiTXXnttunXrlhdeeCFbbLHFMrsmAAAAAPikJVpBd9ZZZ+Xdd9/NF7/4xVx00UX5/e9/n3vvvTcXXnhhtthii7z77rs588wzl1lz9957b3bYYYd861vfSrt27bL99tvn2muvrcxPmjQpU6ZMSc+ePStj1dXV6d69e0aNGpUkGTduXObOnVuvpkOHDunSpUulZvTo0ampqamEc0my8847p6amplKzILNnz86MGTPqfQAAAABgSSzRCrr27dtn1KhR+e///u+cccYZKYoiSVJVVZVevXrlyiuvTPv27ZdZcy+99FKuuuqqnHLKKfnhD3+YMWPG5KSTTkp1dXUOP/zwTJkypdLXp/t85ZVXkiRTpkxJ06ZN06pVqwY1Hx8/ZcqUtGvXrsH527VrV6lZkPPPPz/nnHPO57pGAAAAANZsSxTQJcnGG2+c+++/P9OmTcs///nPFEWRzp07NwjAloX58+dnhx12yODBg5Mk22+/fSZOnJirrroqhx9+eKWuqqqq3nFFUTQY+7RP1yyo/rN+54wzzsgpp5xS+T5jxox07Nhx0RcFAAAAAJ+wRFtcP6lVq1b56le/mh133HG5hHNJssEGG2TrrbeuN7bVVlvl1VdfTZLU1tYmSYNVblOnTq2sqqutrc2cOXMybdq0Rda8+eabDc7/1ltvLXJFYHV1ddZdd916HwAAAABYEksd0K0Iu+66a1544YV6Yy+++GI23njjJEmnTp1SW1ubESNGVObnzJmTkSNHZpdddkmSdO3aNU2aNKlXM3ny5EyYMKFS061bt9TV1WXMmDGVmieffDJ1dXWVGgAAAABYHpZ4i+uK9P3vfz+77LJLBg8enIMPPjhjxozJNddck2uuuSbJv7elDhgwIIMHD07nzp3TuXPnDB48OGuvvXb69u2bJKmpqcnRRx+dU089NW3atEnr1q0zcODAbLPNNpW3um611VbZZ5990r9///zyl79MkhxzzDHp3bu3N7gCAAAAsFyt1AHdV7/61dx9990544wzcu6556ZTp0654oorcuihh1ZqTjvttMyaNSvHHXdcpk2blp122ikPPvhgWrZsWam5/PLL07hx4xx88MGZNWtW9txzz9x4441p1KhRpebWW2/NSSedVHnba58+fTJ06NAVd7EAAAAArJFW6oAuSXr37p3evXsvdL6qqiqDBg3KoEGDFlrTrFmzDBkyJEOGDFloTevWrXPLLbd8nlYBAAAAYImt1M+gAwAAAIDVnYAOAAAAAEokoAMAAACAEgnoAAAAAKBEAjoAAAAAKJGADgAAAABKJKADAAA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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the distribution of prices in sample\n", + "\n", + "prices = [float(item.price) for item in sample]\n", + "plt.figure(figsize=(15, 10))\n", + "plt.title(f\"Avg {sum(prices)/len(prices):.2f} and highest {max(prices):,.2f}\\n\")\n", + "plt.xlabel('Price ($)')\n", + "plt.ylabel('Count')\n", + "plt.hist(prices, rwidth=0.7, color=\"darkblue\", bins=range(0, 1000, 10))\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "0d570794-6f1d-462e-b567-a46bae3556a1", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# OK, we did well in terms of raising the average price and having a smooth-ish population of prices\n", + "# Let's see the categories\n", + "\n", + "category_counts = Counter()\n", + "for item in sample:\n", + " category_counts[item.category]+=1\n", + "\n", + "categories = category_counts.keys()\n", + "counts = [category_counts[category] for category in categories]\n", + "\n", + "# Create bar chart\n", + "plt.figure(figsize=(15, 6))\n", + "plt.bar(categories, counts, color=\"lightgreen\")\n", + "\n", + "# Customize the chart\n", + "plt.title('How many in each category')\n", + "plt.xlabel('Categories')\n", + "plt.ylabel('Count')\n", + "\n", + "plt.xticks(rotation=30, ha='right')\n", + "\n", + "# Add value labels on top of each bar\n", + "for i, v in enumerate(counts):\n", + " plt.text(i, v, f\"{v:,}\", ha='center', va='bottom')\n", + "\n", + "# Display the chart\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "6609d77c-3e0a-4679-9129-c7cdc3273070", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Automotive still in the lead, but improved somewhat\n", + "# For another perspective, let's look at a pie\n", + "\n", + "plt.figure(figsize=(12, 10))\n", + "plt.pie(counts, labels=categories, autopct='%1.0f%%', startangle=90)\n", + "\n", + "# Add a circle at the center to create a donut chart (optional)\n", + "centre_circle = plt.Circle((0,0), 0.70, fc='white')\n", + "fig = plt.gcf()\n", + "fig.gca().add_artist(centre_circle)\n", + "plt.title('Categories')\n", + "\n", + "# Equal aspect ratio ensures that pie is drawn as a circle\n", + "plt.axis('equal') \n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "ac046cc1-2717-415b-96ad-b73b2950d235", + "metadata": {}, + "source": [ + "# Dataset Curated!\n", + "\n", + "We've crafted an excellent dataset.\n", + "\n", + "Let's do some final checks" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "70219e99-22cc-4e08-9121-51f9707caef0", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# How does the price vary with the character count of the prompt?\n", + "\n", + "sizes = [len(item.prompt) for item in sample]\n", + "prices = [item.price for item in sample]\n", + "\n", + "# Create the scatter plot\n", + "plt.figure(figsize=(15, 8))\n", + "plt.scatter(sizes, prices, s=0.2, color=\"red\")\n", + "\n", + "# Add labels and title\n", + "plt.xlabel('Size')\n", + "plt.ylabel('Price')\n", + "plt.title('Is there a simple correlation?')\n", + "\n", + "# Display the plot\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "30ae1453-b9fc-40db-8310-65d850c4b1da", + "metadata": {}, + "outputs": [], + "source": [ + "def report(item):\n", + " prompt = item.prompt\n", + " tokens = Item.tokenizer.encode(item.prompt)\n", + " print(prompt)\n", + " print(tokens[-10:])\n", + " print(Item.tokenizer.batch_decode(tokens[-10:]))" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "d9998b8d-d746-4541-9ac2-701108e0e8fb", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "How much does this cost to the nearest dollar?\n", + "\n", + "MonoRS Coilovers Lowering Kit Made For Scion FRS Fully Adjustable, Set of 4\n", + "MonoRS Coilover damper kit by Godspeed Project are intermediate suspension upgrade setup for daily and Sunday club racing. Lowering your car with improved springs over factory and paired with Mono-tubo shocks with valving that allows 32 levels of rebound adjustment to improve handling without sacrifice comfort. Ride height can easily be adjusted by twisting the lower mount bracket. In order to keep weight gain at the minimum, most of attachments and accessories are CNC machined from billet aluminum. Koyo bearings are used when camber plate top mount is applicable depends on car models. To assure that our customers are getting high quality products, MonoRS coilovers are covered by 12 months limited warranty by the manufacturer from\n", + "\n", + "Price is $765.00\n", + "[279, 14290, 505, 271, 7117, 374, 400, 22240, 13, 410]\n", + "[' the', ' manufacturer', ' from', '\\n\\n', 'Price', ' is', ' $', '765', '.', '00']\n" + ] + } + ], + "source": [ + "report(sample[398000])" + ] + }, + { + "cell_type": "markdown", + "id": "7aa0a3fc-d2fe-4e6e-8fdb-96913df2f588", + "metadata": {}, + "source": [ + "## Observation\n", + "\n", + "An interesting thing about the Llama tokenizer is that every number from 1 to 999 gets mapped to 1 token, much as we saw with gpt-4o. The same is not true of qwen2, gemma and phi3, which all map individual digits to tokens. This does turn out to be a bit useful for our project, although it's not an essential requirement." + ] + }, + { + "cell_type": "markdown", + "id": "0f03c0ee-3103-4603-af5c-b484884a3aa2", + "metadata": {}, + "source": [ + "# Finally\n", + "\n", + "It's time to break down our data into a training, test and validation dataset.\n", + "\n", + "It's typical to use 5%-10% of your data for testing purposes, but actually we have far more than we need at this point. We'll take 400,000 points for training, and we'll reserve 2,000 for testing, although we won't use all of them.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "3b163ca2-18ef-4c26-8e9d-88eb55f114f6", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Divided into a training set of 400,000 items and test set of 2,000 items\n" + ] + } + ], + "source": [ + "random.seed(42)\n", + "random.shuffle(sample)\n", + "train = sample[:400_000]\n", + "test = sample[400_000:402_000]\n", + "print(f\"Divided into a training set of {len(train):,} items and test set of {len(test):,} items\")" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "299b9816-8885-4798-829a-69d66d60eb01", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "How much does this cost to the nearest dollar?\n", + "\n", + "Delphi FG0166 Fuel Pump Module\n", + "Delphi brings 80 years of OE Heritage into each Delphi pump, ensuring quality and fitment for each Delphi part. Part is validated, tested and matched to the right vehicle application Delphi brings 80 years of OE Heritage into each Delphi assembly, ensuring quality and fitment for each Delphi part Always be sure to check and clean fuel tank to avoid unnecessary returns Rigorous OE-testing ensures the pump can withstand extreme temperatures Brand Delphi, Fit Type Vehicle Specific Fit, Dimensions LxWxH 19.7 x 7.7 x 5.1 inches, Weight 2.2 Pounds, Auto Part Position Unknown, Operation Mode Mechanical, Manufacturer Delphi, Model FUEL PUMP, Dimensions 19.7\n", + "\n", + "Price is $227.00\n" + ] + } + ], + "source": [ + "print(train[0].prompt)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "97222da3-9f2c-4d15-a5cd-5e5f8dbde6cc", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "How much does this cost to the nearest dollar?\n", + "\n", + "OEM AC Compressor w/A/C Repair Kit For Ford F150 F-150 V8 & Lincoln Mark LT 2007 2008 - BuyAutoParts NEW\n", + "As one of the world's largest automotive parts suppliers, our parts are trusted every day by mechanics and vehicle owners worldwide. This A/C Compressor and Components Kit is manufactured and tested to the strictest OE standards for unparalleled performance. Built for trouble-free ownership and 100% visually inspected and quality tested, this A/C Compressor and Components Kit is backed by our 100% satisfaction guarantee. Guaranteed Exact Fit for easy installation 100% BRAND NEW, premium ISO/TS 16949 quality - tested to meet or exceed OEM specifications Engineered for superior durability, backed by industry-leading unlimited-mileage warranty Included in this K\n", + "\n", + "Price is $\n" + ] + } + ], + "source": [ + "print(test[0].test_prompt())" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "7a116369-335a-412b-b70c-2add6675c2e3", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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Zs2fMmzcvPvroo/jss89i6tSpEfHz7Kh99933N9W30quvvhpz5syJYcOGxZlnnhn77bdfdOjQIfLz89f6nOX1eVSUa698EMGECRNWud11112Zvvvuu2/87//+bxQUFMTbb78dHTt2jH79+sVjjz221tfv2rVrzJw5M6ZNmxYfffRRTJ8+PRMo7rfffpl+VapUicGDB8eCBQtiypQpMWfOnHj++edj1qxZ0bJly9hqq61KnHv+/Pnx/PPPx5FHHrnKB2KUZrfddsvU8uGHH8acOXNiu+22K1FTRMTFF18c3377bXzwwQcxY8aMGDt2bCxcuDBq1qy51jM5AWBTJDQDgI3cihUr4oEHHoitt946Ro8eXWL74x//GHPnzo2XXnopIiK22GKLOProo+PBBx+M559/PubNm1dsaWZERKdOneLDDz+Mjz76qFh7WYKKa665JgYMGBBXXHFFXHXVVb/5Pps0aRIrVqyICRMmFGufNm1aLFiwYJUBxqpUqVIltttuu9hmm22ioKAg7rnnnjjqqKOiefPmv7nGiMg8aTH9Y+3//d//vdbn3H///WPx4sXx3HPPFWsfPnz4Wp9zTXXq1CkWL16c+f6s9FtCq8MPPzwWLFgQK1asiA4dOpTYtt122xLHVK5cOfbYY4+48847IyJi0qRJEbFms+VWJScnJ1q3bh3bbbddrFixIv72t79Fu3btSgRUET8vdd5xxx2jcePGMWnSpHjllVeib9++qzzvgw8+GMuXL1/jpZlpLVq0iB122CFyc3PjlltuiSZNmsQJJ5xQol9eXl60bds2mjdvHrNmzYrHH388zjrrrKhevfpaXRcANkVVsl0AALBuvfTSSzFnzpy48cYbo3PnziX2t23bNoYMGRL33ntvHH744RHx8xKvxx9/PM4///zYaqutSjx5sl+/fjFs2LDo2rVrXH311dGwYcMYPnx4Zknnr/1u0i233BJ/+ctf4pBDDonDDjss3n777WL799xzz8y/v/nmmxgzZkxE/N+T/1566aWoX79+1K9fP/NbYKeffnrceuutcdxxx8UVV1wR2267bXzxxRdx/fXXR82aNePcc8/NnPPBBx+MXr16xbBhwzJL5ObPnx+33HJL7L333pGfnx+ffPJJ3HTTTVGpUqVMELPS0qVL48UXX4yIyNQ+ZsyY+Pbbb6NmzZrRtWvXUu99r732ii222CLOPffcuOqqqyI3NzceeeSReP/991f7nq1Ojx494tZbb40ePXrEddddF61bt44XX3wx/vnPf671OddUz54949Zbb41TTz01rr322thmm23ipZdeylx7bX5D66STTopHHnkkDj300Ojbt2/svvvukZubG19++WWMHj06jjrqqDjmmGPi7rvvjldffTUOO+ywaNasWfz444+ZpcYrv7P5+fnRvHnzePbZZ+OAAw6IOnXqRL169aJFixalXr9Pnz7RuXPnqFu3bnzxxRdx++23x5dffpn5Hq60cmntTjvtFEmSxPjx4+PGG2+MQw45pNSlxvfee280bdo0Dj744FXunzlzZmy99dbRs2fPuPfeezPtl19+eSaYmzVrVgwbNizeeeedeOGFF4oFYR9++GE89dRT0aFDh8jLy4v3338/brjhhmjdunVmqTEAsIay/CACAGAdO/roo5OqVasm8+fPL7XPSSedlFSpUiWZN29ekiQ/PxmwadOmSUQkl19++SqP+fDDD5MDDzwwqVatWlKnTp3kjDPOSB544IEST4BclU6dOhV7wmV6+6XRo0eX2u+XT3FMkiT57LPPku7duyctWrRI8vLykmbNmiUnnnhiiad8rnxa5C+f7LhgwYKkS5cuSf369ZPc3NykWbNmSZ8+fZJvvvmmRP3Tp08vtabmzZuv9t6TJEnGjh2bdOzYMalRo0ZSv3795Mwzz0wmTZq0yqdN1qxZs8TxV111VYn36csvv0yOO+64pFatWkl+fn5y3HHHJWPHji3T0zMnTJhQrH3le//LJ4Omn56ZJEkya9as5Nhjjy127RdffLHEEz3Lcj/Lly9Pbr755mTnnXdOqlWrltSqVStp06ZNcs455ySfffZZkiRJMm7cuOSYY45JmjdvnuTl5SV169ZNOnXqlDz33HPFzvXyyy8nu+yyS5KXl5dERNKzZ8/Vvh9HHXVU0rhx4yQ3Nzdp1KhRctpppyUzZswo0e+tt95K9thjj2SzzTZL8vLykrZt2yY333xzsmzZslWe96233koiIvnLX/5S6rVXfrfSNf7hD39ImjVrllStWjWpV69ectxxxyVTpkwpcfynn36a7LfffkmdOnWSqlWrJttss01yxRVXJN9///1q7xkAKCknSZJk3UdzAMCm4Oyzz45HH300FixYEFWrVs12OWTR9ddfH1dccUXMmjVrjZfGAgBUJJZnAgBr5eqrr44mTZpEq1at4vvvv4/nn38+/ud//ieuuOIKgdkmZsiQIRER0aZNm1i+fHm8+uqrcfvtt8epp54qMAMANlhCMwBgreTm5sZf//rX+PLLL+Onn36K1q1bx+DBg0v9AXQ2XjVq1Ihbb701ZsyYEYWFhdGsWbO4+OKL44orrsh2aQAAa83yTAAAAABIKfvjjAAAAABgIyc0AwAAAIAUoRkAAAAApAjNAAAAACBFaAYAAAAAKUIzAAAAAEgRmgEAAABAitAMAAAAAFKEZgAAAACQIjQDAAAAgBShGQAAAACkCM0AAAAAIEVoBgAAAAApQjMAAAAASBGaAQAAAECK0AwAAAAAUoRmAAAAAJAiNAMAAACAFKEZAAAAAKQIzQAAAAAgRWgGAAAAAClVsl3AulZUVBRz5syJ/Pz8yMnJyXY5AAAAAGRRkiSxePHiaNKkSVSqVPp8so0+NJszZ040bdo022UAAAAAUIHMnj07ttpqq1L3b/ShWX5+fkT8/EZsttlmWa4GAAAAgGxatGhRNG3aNJMZlWajD81WLsncbLPNhGYAAAAARET86s94eRAAAAAAAKQIzQAAAAAgRWgGAAAAAClCMwAAAABIEZoBAAAAQIrQDAAAAABShGYAAAAAkCI0AwAAAIAUoRkAAAAApAjNAAAAACBFaAYAAAAAKUIzAAAAAEgRmgEAAABAitAMAAAAAFKyGpq9/vrrccQRR0STJk0iJycnnnnmmcy+5cuXx8UXXxw77rhj1KxZM5o0aRI9evSIOXPmZK9gAAAAADYJWQ3NlixZEjvvvHMMGTKkxL6lS5fGpEmT4sorr4xJkybFiBEjYtq0aXHkkUdmoVIAAAAANiU5SZIk2S4iIiInJyeefvrpOProo0vtM2HChNh9991j5syZ0axZszU676JFi6J27dpRUFAQm222WTlVCwAAAMCGaE2zog3qN80KCgoiJycnNt9882yXAgAAAMBGrEq2C1hTP/74Y1xyySVxyimnrDYFLCwsjMLCwszrRYsWrY/yAAAAANiIbBCh2fLly+Okk06KoqKiuOuuu1bbd9CgQTFw4MD1VBmUr5ycm0vdlyT912MlAAAAsGmr8Mszly9fHr///e9j+vTpMWrUqF/9XbJLL700CgoKMtvs2bPXU6UAAAAAbCwq9EyzlYHZZ599FqNHj466dev+6jF5eXmRl5e3HqoDAAAAYGOV1dDs+++/j88//zzzevr06TF58uSoU6dONGnSJI4//viYNGlSPP/887FixYqYN29eRETUqVMnqlatmq2yAQAAANjIZTU0e/fdd2P//ffPvL7ooosiIqJnz54xYMCAeO655yIiol27dsWOGz16dHTu3Hl9lQkAAADAJiaroVnnzp0jSZJS969uHwAAAACsKxX+QQAAAAAAsL4JzQAAAAAgRWgGAAAAAClCMwAAAABIEZoBAAAAQIrQDAAAAABShGYAAAAAkCI0AwAAAIAUoRkAAAAApAjNAAAAACBFaAYAAAAAKUIzAAAAAEgRmgEAAABAitAMAAAAAFKEZgAAAACQIjQDAAAAgBShGQAAAACkCM0AAAAAIEVoBgAAAAApQjMAAAAASBGaAQAAAECK0AwAAAAAUoRmAAAAAJAiNAMAAACAFKEZAAAAAKQIzQAAAAAgRWgGAAAAAClCMwAAAABIEZoBAAAAQIrQDAAAAABSqmS7ANa9nJybS92XJP0rzDkBAAAAKgozzQAAAAAgRWgGAAAAAClCMwAAAABIEZoBAAAAQIrQDAAAAABShGYAAAAAkCI0AwAAAIAUoRkAAAAApAjNAAAAACBFaAYAAAAAKUIzAAAAAEgRmgEAAABAitAMAAAAAFKEZgAAAACQIjQDAAAAgBShGQAAAACkCM0AAAAAIEVoBgAAAAApQjMAAAAASBGaAQAAAECK0AwAAAAAUoRmAAAAAJAiNAMAAACAFKEZAAAAAKQIzQAAAAAgRWgGAAAAAClCMwAAAABIEZoBAAAAQIrQDAAAAABShGYAAAAAkCI0AwAAAIAUoRkAAAAApGQ1NHv99dfjiCOOiCZNmkROTk4888wzxfYnSRIDBgyIJk2aRPXq1aNz584xderU7BQLAAAAwCYjq6HZkiVLYuedd44hQ4ascv9NN90UgwcPjiFDhsSECROiUaNGcdBBB8XixYvXc6UAAAAAbEqqZPPiXbt2ja5du65yX5Ikcdttt8Xll18exx57bEREPPDAA9GwYcMYPnx4nHPOOeuzVAAAAAA2IRX2N82mT58e8+bNiy5dumTa8vLyolOnTjF27NhSjyssLIxFixYV2wAAAACgLLI602x15s2bFxERDRs2LNbesGHDmDlzZqnHDRo0KAYOHLhOa6NscnJuLnVfkvRfj5VQ0a2L78rqzvlbzgsAAMDGrcLONFspJyen2OskSUq0/dKll14aBQUFmW327NnrukQAAAAANjIVdqZZo0aNIuLnGWeNGzfOtM+fP7/E7LNfysvLi7y8vHVeHwAAAAAbrwo706xly5bRqFGjGDVqVKZt2bJlMWbMmNhrr72yWBkAAAAAG7uszjT7/vvv4/PPP8+8nj59ekyePDnq1KkTzZo1i379+sX1118frVu3jtatW8f1118fNWrUiFNOOSWLVQMAAACwsctqaPbuu+/G/vvvn3l90UUXRUREz5494/77748///nP8cMPP8R5550XCxcujD322CP+9a9/RX5+frZKBgAAAGATkNXQrHPnzpEkSan7c3JyYsCAATFgwID1VxQAAAAAm7wK+5tmAAAAAJAtQjMAAAAASBGaAQAAAECK0AwAAAAAUoRmAAAAAJAiNAMAAACAFKEZAAAAAKQIzQAAAAAgRWgGAAAAAClCMwAAAABIEZoBAAAAQIrQDAAAAABShGYAAAAAkCI0AwAAAIAUoRkAAAAApAjNAAAAACBFaAYAAAAAKUIzAAAAAEgRmgEAAABAitAMAAAAAFKEZgAAAACQIjQDAAAAgBShGQAAAACkCM0AAAAAIEVoBgAAAAApQjMAAAAASBGaAQAAAECK0AwAAAAAUoRmAAAAAJAiNAMAAACAlCrZLgAqkpycm0vdlyT912Ml2bGp3z8AAACsZKYZAAAAAKQIzQAAAAAgRWgGAAAAAClCMwAAAABIEZoBAAAAQIrQDAAAAABShGYAAAAAkCI0AwAAAIAUoRkAAAAApAjNAAAAACBFaAYAAAAAKUIzAAAAAEgRmgEAAABAitAMAAAAAFKEZgAAAACQIjQDAAAAgBShGQAAAACkCM0AAAAAIEVoBgAAAAApQjMAAAAASBGaAQAAAECK0AwAAAAAUoRmAAAAAJAiNAMAAACAFKEZAAAAAKQIzQAAAAAgRWgGAAAAAClCMwAAAABIEZoBAAAAQIrQDAAAAABShGYAAAAAkFKhQ7OffvoprrjiimjZsmVUr149WrVqFVdffXUUFRVluzQAAAAANmJVsl3A6tx4441x9913xwMPPBA77LBDvPvuu3H66adH7dq1o2/fvtkuDwAAAICNVIUOzcaNGxdHHXVUHHbYYRER0aJFi3j00Ufj3XffzXJlAAAAAGzMKvTyzH322SdeeeWVmDZtWkREvP/++/Hmm2/GoYceWuoxhYWFsWjRomIbAAAAAJRFhZ5pdvHFF0dBQUG0adMmKleuHCtWrIjrrrsuTj755FKPGTRoUAwcOHA9VpkdOTk3l7ovSfqvx0oAAAAANj4VeqbZ448/Hg8//HAMHz48Jk2aFA888EDcfPPN8cADD5R6zKWXXhoFBQWZbfbs2euxYgAAAAA2BhV6ptmf/vSnuOSSS+Kkk06KiIgdd9wxZs6cGYMGDYqePXuu8pi8vLzIy8tbn2UCAAAAsJGp0DPNli5dGpUqFS+xcuXKUVRUlKWKAAAAANgUVOiZZkcccURcd9110axZs9hhhx3ivffei8GDB0evXr2yXRoAAAAAG7EKHZrdcccdceWVV8Z5550X8+fPjyZNmsQ555wTf/nLX7JdGgAAAAAbsQodmuXn58dtt90Wt912W7ZLAQAAAGATUqF/0wwAAAAAskFoBgAAAAApQjMAAAAASBGaAQAAAECK0AwAAAAAUoRmAAAAAJAiNAMAAACAFKEZAAAAAKQIzQAAAAAgRWgGAAAAAClCMwAAAABIEZoBAAAAQIrQDAAAAABShGYAAAAAkCI0AwAAAIAUoRkAAAAApAjNAAAAACBFaAYAAAAAKUIzAAAAAEgRmgEAAABAitAMAAAAAFKEZgAAAACQIjQDAAAAgBShGQAAAACkCM0AAAAAIEVoBgAAAAApQjMAAAAASBGaAQAAAECK0AwAAAAAUoRmAAAAAJBSJdsFUHHk5Ny82v1J0n89VfLrNqRa2bRVhO/q6mowVgAAAFbNTDMAAAAASBGaAQAAAECK0AwAAAAAUoRmAAAAAJAiNAMAAACAFKEZAAAAAKSsVWjWqlWrWLBgQYn27777Llq1avWbiwIAAACAbFqr0GzGjBmxYsWKEu2FhYXx1Vdf/eaiAAAAACCbqpSl83PPPZf59z//+c+oXbt25vWKFSvilVdeiRYtWpRbcQAAAACQDWUKzY4++uiIiMjJyYmePXsW25ebmxstWrSIW265pdyKAwAAAIBsKFNoVlRUFBERLVu2jAkTJkS9evXWSVEAAAAAkE1lCs1Wmj59ennXAQAAAAAVxlqFZhERr7zySrzyyisxf/78zAy0lYYNG/abCwMAAACAbFmr0GzgwIFx9dVXR4cOHaJx48aRk5NT3nUBAAAAQNasVWh29913x/333x/du3cv73oAAAAAIOsqrc1By5Yti7322qu8awEAAACACmGtQrMzzzwzhg8fXt61AAAAAECFsFbLM3/88ce455574uWXX46ddtopcnNzi+0fPHhwuRQHAAAAANmwVqHZlClTol27dhER8eGHHxbb56EAAAAAAGzo1io0Gz16dHnXAQAAAAAVxlr9phkAAAAAbMzWaqbZ/vvvv9plmK+++upaFwQAAAAA2bZWodnK3zNbafny5TF58uT48MMPo2fPnuVRFwAAAABkzVqFZrfeeusq2wcMGBDff//9byoIAAAAALKtXH/T7NRTT41hw4aV5ykBAAAAYL0r19Bs3LhxUa1atfI8JQAAAACsd2u1PPPYY48t9jpJkpg7d268++67ceWVV5ZLYQAAAACQLWsVmtWuXbvY60qVKsW2224bV199dXTp0qVcCgMAAACAbFmr0Oy+++4r7zoAAAAAoMJYq9BspYkTJ8bHH38cOTk5sf3228cuu+xSXnUBAAAAQNasVWg2f/78OOmkk+K1116LzTffPJIkiYKCgth///3jsccei/r165d3nQAAAACw3qzV0zP79OkTixYtiqlTp8Z//vOfWLhwYXz44YexaNGiuOCCC8q1wK+++ipOPfXUqFu3btSoUSPatWsXEydOLNdrAAAAAMAvrdVMs5EjR8bLL78c2223XaZt++23jzvvvLNcHwSwcOHC2HvvvWP//fePl156KRo0aBD//ve/Y/PNNy+3awAAAABA2lqFZkVFRZGbm1uiPTc3N4qKin5zUSvdeOON0bRp02IPHmjRokW5nR8AAAAAVmWtlmf+13/9V/Tt2zfmzJmTafvqq6/iwgsvjAMOOKDcinvuueeiQ4cOccIJJ0SDBg1il112ib///e/ldn4AAAAAWJW1Cs2GDBkSixcvjhYtWsTWW28d22yzTbRs2TIWL14cd9xxR7kV98UXX8TQoUOjdevW8c9//jPOPffcuOCCC+LBBx8s9ZjCwsJYtGhRsQ0AAAAAymKtlmc2bdo0Jk2aFKNGjYpPPvkkkiSJ7bffPg488MByLa6oqCg6dOgQ119/fURE7LLLLjF16tQYOnRo9OjRY5XHDBo0KAYOHFiudUBFk5Nz82r3J0n/9VTJr9uQat2QrO599Z5WLNn+rIxBAABYO2Waafbqq6/G9ttvn5m9ddBBB0WfPn3iggsuiN122y122GGHeOONN8qtuMaNG8f2229frG277baLWbNmlXrMpZdeGgUFBZlt9uzZ5VYPAAAAAJuGMoVmt912W5x11lmx2WabldhXu3btOOecc2Lw4MHlVtzee+8dn376abG2adOmRfPmzUs9Ji8vLzbbbLNiGwAAAACURZlCs/fffz8OOeSQUvd36dIlJk6c+JuLWunCCy+Mt99+O66//vr4/PPPY/jw4XHPPfdE7969y+0aAAAAAJBWptDs66+/jtzc3FL3V6lSJb755pvfXNRKu+22Wzz99NPx6KOPRtu2beOaa66J2267Lbp161Zu1wAAAACAtDI9CGDLLbeMDz74ILbZZptV7p8yZUo0bty4XApb6fDDD4/DDz+8XM8JAAAAAKtTpplmhx56aPzlL3+JH3/8scS+H374Ia666ioBFwAAAAAbvDLNNLviiitixIgR8bvf/S7OP//82HbbbSMnJyc+/vjjuPPOO2PFihVx+eWXr6taAQAAAGC9KFNo1rBhwxg7dmz84Q9/iEsvvTSSJImIiJycnDj44IPjrrvuioYNG66TQgEAAABgfSlTaBYR0bx583jxxRdj4cKF8fnnn0eSJNG6devYYost1kV9AAAAALDelTk0W2mLLbaI3XbbrTxrAQAAAIAKoUwPAgAAAACATYHQDAAAAABShGYAAAAAkCI0AwAAAIAUoRkAAAAApAjNAAAAACBFaAYAAAAAKUIzAAAAAEgRmgEAAABAitAMAAAAAFKEZgAAAACQIjQDAAAAgBShGQAAAACkCM0AAAAAIEVoBgAAAAApQjMAAAAASBGaAQAAAECK0AwAAAAAUoRmAAAAAJAiNAMAAACAFKEZAAAAAKQIzQAAAAAgRWgGAAAAAClCMwAAAABIEZoBAAAAQEqVbBcAK+Xk3Lza/UnSv9zPuy7O+VvOuy5sSLWyafNd3XD4rAAA2BSYaQYAAAAAKUIzAAAAAEgRmgEAAABAitAMAAAAAFKEZgAAAACQIjQDAAAAgBShGQAAAACkCM0AAAAAIEVoBgAAAAApQjMAAAAASBGaAQAAAECK0AwAAAAAUoRmAAAAAJAiNAMAAACAFKEZAAAAAKQIzQAAAAAgRWgGAAAAAClCMwAAAABIEZoBAAAAQIrQDAAAAABShGYAAAAAkCI0AwAAAIAUoRkAAAAApAjNAAAAACBFaAYAAAAAKUIzAAAAAEgRmgEAAABAitAMAAAAAFKEZgAAAACQIjQDAAAAgBShGQAAAACkCM0AAAAAIGWDCs0GDRoUOTk50a9fv2yXAgAAAMBGbIMJzSZMmBD33HNP7LTTTtkuBQAAAICN3AYRmn3//ffRrVu3+Pvf/x5bbLFFtssBAAAAYCO3QYRmvXv3jsMOOywOPPDAX+1bWFgYixYtKrYBAAAAQFlUyXYBv+axxx6LSZMmxYQJE9ao/6BBg2LgwIHruCpYczk5N5e6L0n6r8dK+DWr+6wifF6se2v6vxe+qwAAsO5V6Jlms2fPjr59+8bDDz8c1apVW6NjLr300igoKMhss2fPXsdVAgAAALCxqdAzzSZOnBjz58+P9u3bZ9pWrFgRr7/+egwZMiQKCwujcuXKxY7Jy8uLvLy89V0qAAAAABuRCh2aHXDAAfHBBx8Uazv99NOjTZs2cfHFF5cIzAAAAACgPFTo0Cw/Pz/atm1brK1mzZpRt27dEu0AAAAAUF4q9G+aAQAAAEA2VOiZZqvy2muvZbsEAAAAADZyZpoBAAAAQIrQDAAAAABShGYAAAAAkCI0AwAAAIAUoRkAAAAApAjNAAAAACBFaAYAAAAAKUIzAAAAAEgRmgEAAABAitAMAAAAAFKEZgAAAACQIjQDAAAAgBShGQAAAACkCM0AAAAAIEVoBgAAAAApQjMAAAAASBGaAQAAAECK0AwAAAAAUoRmAAAAAJAiNAMAAACAFKEZAAAAAKQIzQAAAAAgRWgGAAAAAClCMwAAAABIEZoBAAAAQIrQDAAAAABShGYAAAAAkCI0AwAAAIAUoRkAAAAApAjNAAAAACClSrYLADY8OTk3r3Z/kvRfT5Vkz+reg03h/jckPqsNR7Y/q2xfH3wHAaBiMdMMAAAAAFKEZgAAAACQIjQDAAAAgBShGQAAAACkCM0AAAAAIEVoBgAAAAApQjMAAAAASBGaAQAAAECK0AwAAAAAUoRmAAAAAJAiNAMAAACAFKEZAAAAAKQIzQAAAAAgRWgGAAAAAClCMwAAAABIEZoBAAAAQIrQDAAAAABShGYAAAAAkCI0AwAAAIAUoRkAAAAApAjNAAAAACBFaAYAAAAAKUIzAAAAAEgRmgEAAABAitAMAAAAAFKEZgAAAACQIjQDAAAAgBShGQAAAACkCM0AAAAAIEVoBgAAAAApQjMAAAAASKnQodmgQYNit912i/z8/GjQoEEcffTR8emnn2a7LAAAAAA2chU6NBszZkz07t073n777Rg1alT89NNP0aVLl1iyZEm2SwMAAABgI1Yl2wWszsiRI4u9vu+++6JBgwYxceLE2G+//bJUFQAAAAAbuwodmqUVFBRERESdOnVK7VNYWBiFhYWZ14sWLVrndQEAAACwcdlgQrMkSeKiiy6KffbZJ9q2bVtqv0GDBsXAgQPXY2VANuTk3FzqviTpvx4r2Xis7j2NKP6+luX991ltODakz2pNay3L93pdXL8i2FBqXVefFQBki79tG74K/Ztmv3T++efHlClT4tFHH11tv0svvTQKCgoy2+zZs9dThQAAAABsLDaImWZ9+vSJ5557Ll5//fXYaqutVts3Ly8v8vLy1lNlAAAAAGyMKnRoliRJ9OnTJ55++ul47bXXomXLltkuCQAAAIBNQIUOzXr37h3Dhw+PZ599NvLz82PevHkREVG7du2oXr16lqsDAAAAYGNVoX/TbOjQoVFQUBCdO3eOxo0bZ7bHH38826UBAAAAsBGr0DPNkiTJdgkAAAAAbIIq9EwzAAAAAMgGoRkAAAAApAjNAAAAACBFaAYAAAAAKUIzAAAAAEgRmgEAAABAitAMAAAAAFKEZgAAAACQIjQDAAAAgBShGQAAAACkCM0AAAAAIEVoBgAAAAApQjMAAAAASBGaAQAAAECK0AwAAAAAUoRmAAAAAJAiNAMAAACAFKEZAAAAAKQIzQAAAAAgRWgGAAAAAClCMwAAAABIEZoBAAAAQIrQDAAAAABShGYAAAAAkCI0AwAAAIAUoRkAAAAApAjNAAAAACBFaAYAAAAAKUIzAAAAAEgRmgEAAABASpVsFwDAz3Jybl7t/iTpv54qqfjW1Xu1uvN6/9eO7/Wa25Deqw1prKxprWV5/zekz2pd2Fjvf0P6Xm+MNqTv1YZU64Yk22Mw29enYjLTDAAAAABShGYAAAAAkCI0AwAAAIAUoRkAAAAApAjNAAAAACBFaAYAAAAAKUIzAAAAAEgRmgEAAABAitAMAAAAAFKEZgAAAACQIjQDAAAAgBShGQAAAACkCM0AAAAAIEVoBgAAAAApQjMAAAAASBGaAQAAAECK0AwAAAAAUoRmAAAAAJAiNAMAAACAFKEZAAAAAKQIzQAAAAAgRWgGAAAAAClCMwAAAABIEZoBAAAAQIrQDAAAAABShGYAAAAAkCI0AwAAAIAUoRkAAAAApAjNAAAAACBFaAYAAAAAKUIzAAAAAEjZIEKzu+66K1q2bBnVqlWL9u3bxxtvvJHtkgAAAADYiFX40Ozxxx+Pfv36xeWXXx7vvfde7LvvvtG1a9eYNWtWtksDAAAAYCNV4UOzwYMHxxlnnBFnnnlmbLfddnHbbbdF06ZNY+jQodkuDQAAAICNVIUOzZYtWxYTJ06MLl26FGvv0qVLjB07NktVAQAAALCxq5LtAlbn22+/jRUrVkTDhg2LtTds2DDmzZu3ymMKCwujsLAw87qgoCAiIhYtWrTuCs2KH0vdU/Je17Rv6f3K0jfb1y9L32zXmu3rl6Vvxbp+Wfpmu9ZsX78sfTeO65el79rXWhYb43uV7euXpW+2r18WZam1fM67oZxzXZ13/Xyvy2JdvK/rwrq6/2zbUN7/jdWG9L3akGrdkGR7DG5If9v4rVa+90mSrLZfTvJrPbJozpw5seWWW8bYsWOjY8eOmfbrrrsuHnroofjkk09KHDNgwIAYOHDg+iwTAAAAgA3M7NmzY6uttip1f4WeaVavXr2oXLlyiVll8+fPLzH7bKVLL700LrrooszroqKi+M9//hN169aNnJycdVrvurZo0aJo2rRpzJ49OzbbbLNslwMbBeMK1g1jC8qfcQXlz7iC8rchjKskSWLx4sXRpEmT1far0KFZ1apVo3379jFq1Kg45phjMu2jRo2Ko446apXH5OXlRV5eXrG2zTfffF2Wud5tttlmFfaLBxsq4wrWDWMLyp9xBeXPuILyV9HHVe3atX+1T4UOzSIiLrrooujevXt06NAhOnbsGPfcc0/MmjUrzj333GyXBgAAAMBGqsKHZieeeGIsWLAgrr766pg7d260bds2XnzxxWjevHm2SwMAAABgI1XhQ7OIiPPOOy/OO++8bJeRdXl5eXHVVVeVWH4KrD3jCtYNYwvKn3EF5c+4gvK3MY2rCv30TAAAAADIhkrZLgAAAAAAKhqhGQAAAACkCM0AAAAAIEVotgG56667omXLllGtWrVo3759vPHGG9kuCSqkQYMGxW677Rb5+fnRoEGDOProo+PTTz8t1idJkhgwYEA0adIkqlevHp07d46pU6cW61NYWBh9+vSJevXqRc2aNePII4+ML7/8cn3eClRYgwYNipycnOjXr1+mzbiCsvvqq6/i1FNPjbp160aNGjWiXbt2MXHixMx+4wrK7qeffoorrrgiWrZsGdWrV49WrVrF1VdfHUVFRZk+xhas3uuvvx5HHHFENGnSJHJycuKZZ54ptr+8xtDChQuje/fuUbt27ahdu3Z07949vvvuu3V8d2tOaLaBePzxx6Nfv35x+eWXx3vvvRf77rtvdO3aNWbNmpXt0qDCGTNmTPTu3TvefvvtGDVqVPz000/RpUuXWLJkSabPTTfdFIMHD44hQ4bEhAkTolGjRnHQQQfF4sWLM3369esXTz/9dDz22GPx5ptvxvfffx+HH354rFixIhu3BRXGhAkT4p577omddtqpWLtxBWWzcOHC2HvvvSM3Nzdeeuml+Oijj+KWW26JzTffPNPHuIKyu/HGG+Puu++OIUOGxMcffxw33XRT/PWvf4077rgj08fYgtVbsmRJ7LzzzjFkyJBV7i+vMXTKKafE5MmTY+TIkTFy5MiYPHlydO/efZ3f3xpL2CDsvvvuybnnnlusrU2bNskll1ySpYpgwzF//vwkIpIxY8YkSZIkRUVFSaNGjZIbbrgh0+fHH39Mateundx9991JkiTJd999l+Tm5iaPPfZYps9XX32VVKpUKRk5cuT6vQGoQBYvXpy0bt06GTVqVNKpU6ekb9++SZIYV7A2Lr744mSfffYpdb9xBWvnsMMOS3r16lWs7dhjj01OPfXUJEmMLSiriEiefvrpzOvyGkMfffRREhHJ22+/nekzbty4JCKSTz75ZB3f1Zox02wDsGzZspg4cWJ06dKlWHuXLl1i7NixWaoKNhwFBQUREVGnTp2IiJg+fXrMmzev2JjKy8uLTp06ZcbUxIkTY/ny5cX6NGnSJNq2bWvcsUnr3bt3HHbYYXHggQcWazeuoOyee+656NChQ5xwwgnRoEGD2GWXXeLvf/97Zr9xBWtnn332iVdeeSWmTZsWERHvv/9+vPnmm3HooYdGhLEFv1V5jaFx48ZF7dq1Y4899sj02XPPPaN27doVZpxVyXYB/Lpvv/02VqxYEQ0bNizW3rBhw5g3b16WqoINQ5IkcdFFF8U+++wTbdu2jYjIjJtVjamZM2dm+lStWjW22GKLEn2MOzZVjz32WEyaNCkmTJhQYp9xBWX3xRdfxNChQ+Oiiy6Kyy67LMaPHx8XXHBB5OXlRY8ePYwrWEsXX3xxFBQURJs2baJy5cqxYsWKuO666+Lkk0+OCH+z4LcqrzE0b968aNCgQYnzN2jQoMKMM6HZBiQnJ6fY6yRJSrQBxZ1//vkxZcqUePPNN0vsW5sxZdyxqZo9e3b07ds3/vWvf0W1atVK7WdcwZorKiqKDh06xPXXXx8REbvssktMnTo1hg4dGj169Mj0M66gbB5//PF4+OGHY/jw4bHDDjvE5MmTo1+/ftGkSZPo2bNnpp+xBb9NeYyhVfWvSOPM8swNQL169aJy5colktb58+eXSHaB/9OnT5947rnnYvTo0bHVVltl2hs1ahQRsdox1ahRo1i2bFksXLiw1D6wKZk4cWLMnz8/2rdvH1WqVIkqVarEmDFj4vbbb48qVapkxoVxBWuucePGsf322xdr22677TIPevL3CtbOn/70p7jkkkvipJNOih133DG6d+8eF154YQwaNCgijC34rcprDDVq1Ci+/vrrEuf/5ptvKsw4E5ptAKpWrRrt27ePUaNGFWsfNWpU7LXXXlmqCiquJEni/PPPjxEjRsSrr74aLVu2LLa/ZcuW0ahRo2JjatmyZTFmzJjMmGrfvn3k5uYW6zN37tz48MMPjTs2SQcccEB88MEHMXny5MzWoUOH6NatW0yePDlatWplXEEZ7b333vHpp58Wa5s2bVo0b948Ivy9grW1dOnSqFSp+P/VrVy5chQVFUWEsQW/VXmNoY4dO0ZBQUGMHz8+0+edd96JgoKCijPOsvH0AcruscceS3Jzc5N77703+eijj5J+/folNWvWTGbMmJHt0qDC+cMf/pDUrl07ee2115K5c+dmtqVLl2b63HDDDUnt2rWTESNGJB988EFy8sknJ40bN04WLVqU6XPuuecmW221VfLyyy8nkyZNSv7rv/4r2XnnnZOffvopG7cFFc4vn56ZJMYVlNX48eOTKlWqJNddd13y2WefJY888khSo0aN5OGHH870Ma6g7Hr27JlsueWWyfPPP59Mnz49GTFiRFKvXr3kz3/+c6aPsQWrt3jx4uS9995L3nvvvSQiksGDByfvvfdeMnPmzCRJym8MHXLIIclOO+2UjBs3Lhk3blyy4447Jocffvh6v9/SCM02IHfeeWfSvHnzpGrVqsmuu+6ajBkzJtslQYUUEavc7rvvvkyfoqKi5KqrrkoaNWqU5OXlJfvtt1/ywQcfFDvPDz/8kJx//vlJnTp1kurVqyeHH354MmvWrPV8N1BxpUMz4wrK7n//93+Ttm3bJnl5eUmbNm2Se+65p9h+4wrKbtGiRUnfvn2TZs2aJdWqVUtatWqVXH755UlhYWGmj7EFqzd69OhV/n+qnj17JklSfmNowYIFSbdu3ZL8/PwkPz8/6datW7Jw4cL1dJe/LidJkiQ7c9wAAAAAoGLym2YAAAAAkCI0AwAAAIAUoRkAAAAApAjNAAAAACBFaAYAAAAAKUIzAAAAAEgRmgEAAABAitAMAAAAAFKEZgAAG5jOnTtHv3791vl1unfvHtdff32J9hkzZsSAAQNKtBcWFkazZs1i4sSJ67w2AIB1TWgGAJAlp512WuTk5EROTk7k5uZGq1aton///rFkyZLVHjdixIi45ppr1mltU6ZMiRdeeCH69Omzxsfk5eVF//794+KLL16HlQEArB9CMwCALDrkkENi7ty58cUXX8S1114bd911V/Tv33+VfZcvXx4REXXq1In8/Px1WteQIUPihBNOKHad6dOnxzHHHBN77rln3HTTTdGmTZs499xzix3XrVu3eOONN+Ljjz9ep/UBAKxrQjMAgCzKy8uLRo0aRdOmTeOUU06Jbt26xTPPPBMREQMGDIh27drFsGHDolWrVpGXlxdJkpRYnllYWBh//vOfo2nTppGXlxetW7eOe++9N7P/o48+ikMPPTRq1aoVDRs2jO7du8e3335bak1FRUXx5JNPxpFHHlmsvUePHvH111/H0KFD47TTTou//e1vUbdu3WJ96tatG3vttVc8+uijv/3NAQDIIqEZAEAFUr169cyMsoiIzz//PJ544ol46qmnYvLkyas8pkePHvHYY4/F7bffHh9//HHcfffdUatWrYiImDt3bnTq1CnatWsX7777bowcOTK+/vrr+P3vf19qDVOmTInvvvsuOnToUKz9vffei969e8cuu+wSDRo0iIMPPjiuu+66Esfvvvvu8cYbb6zF3QMAVBxVsl0AAAA/Gz9+fAwfPjwOOOCATNuyZcvioYceivr166/ymGnTpsUTTzwRo0aNigMPPDAiIlq1apXZP3To0Nh1112L/aD/sGHDomnTpjFt2rT43e9+V+KcM2bMiMqVK0eDBg2Kte+9995x2223RVFR0WrvY8stt4wZM2b86v0CAFRkZpoBAGTR888/H7Vq1Ypq1apFx44dY7/99os77rgjs7958+alBmYREZMnT47KlStHp06dVrl/4sSJMXr06KhVq1Zma9OmTURE/Pvf/17lMT/88EPk5eVFTk5OsfZHHnkk9txzz7jsssviuuuui44dO8Y//vGPEsdXr149li5d+qv3DgBQkZlpBgCQRfvvv38MHTo0cnNzo0mTJpGbm1tsf82aNVd7fPXq1Ve7v6ioKI444oi48cYbS+xr3LjxKo+pV69eLF26NJYtWxZVq1Yt1n7HHXfEH//4x7jhhhuiRYsWceKJJ8ZLL70UXbp0yfT7z3/+s9qgDwBgQ2CmGQBAFtWsWTO22WabaN68eYnAbE3suOOOUVRUFGPGjFnl/l133TWmTp0aLVq0iG222abYVlog165du4j4+QECpWnUqFFccskl0a5duxK/X/bhhx/GLrvsUuZ7AQCoSIRmAAAbsBYtWkTPnj2jV69e8cwzz8T06dPjtddeiyeeeCIiInr37h3/+c9/4uSTT47x48fHF198Ef/617+iV69esWLFilWes379+rHrrrvGm2++Waz9jDPOiPHjx8eSJUuisLAwRowYEVOnTo327dsX6/fGG28Um3kGALAhEpoBAGzghg4dGscff3ycd9550aZNmzjrrLNiyZIlERHRpEmTeOutt2LFihVx8MEHR9u2baNv375Ru3btqFSp9P8UPPvss+ORRx4p1tagQYPo1atX7L777vHXv/41+vfvH9dcc00cffTRmT7jxo2LgoKCOP7449fJvQIArC85SZIk2S4CAICK5ccff4xtt902HnvssejYsWOxfTNmzIj7778/BgwYUOK4E044IXbZZZe47LLL1lOlAADrhplmAACUUK1atXjwwQfj22+/XeNjCgsLY+edd44LL7xwHVYGALB+mGkGAAAAAClmmgEAAABAitAMAAAAAFKEZgAAAACQIjQDAAAAgBShGQAAAACkCM0AAAAAIEVoBgAAAAApQjMAAAAASBGaAQAAAECK0AwAAAAAUv4fZcHEtZH4opYAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the distribution of prices in the first 250 test points\n", + "\n", + "prices = [float(item.price) for item in test[:250]]\n", + "plt.figure(figsize=(15, 6))\n", + "plt.title(f\"Avg {sum(prices)/len(prices):.2f} and highest {max(prices):,.2f}\\n\")\n", + "plt.xlabel('Price ($)')\n", + "plt.ylabel('Count')\n", + "plt.hist(prices, rwidth=0.7, color=\"darkblue\", bins=range(0, 1000, 10))\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "d522d752-6f66-4786-a4dc-8ef51842558c", + "metadata": {}, + "source": [ + "# Finally - upload your brand new dataset\n", + "\n", + "Convert to prompts and upload to HuggingFace hub" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "fa11b3e5-fcf4-4efc-a573-f6f67fec3e73", + "metadata": {}, + "outputs": [], + "source": [ + "train_prompts = [item.prompt for item in train]\n", + "train_prices = [item.price for item in train]\n", + "test_prompts = [item.test_prompt() for item in test]\n", + "test_prices = [item.price for item in test]" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "b020ab1b-7153-4e5f-b8a3-d5bc2fafb6df", + "metadata": {}, + "outputs": [], + "source": [ + "# Create a Dataset from the lists\n", + "\n", + "train_dataset = Dataset.from_dict({\"text\": train_prompts, \"price\": train_prices})\n", + "test_dataset = Dataset.from_dict({\"text\": test_prompts, \"price\": test_prices})\n", + "dataset = DatasetDict({\n", + " \"train\": train_dataset,\n", + " \"test\": test_dataset\n", + "})" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "17639641-fb55-44e2-a463-b0b394d00f32", + "metadata": {}, + "outputs": [], + "source": [ + "# DATASET_NAME = \"ed-donner/pricer-data\"\n", + "# dataset.push_to_hub(DATASET_NAME, private=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "b85733ba-d165-4f07-b055-46803543edfe", + "metadata": {}, + "outputs": [], + "source": [ + "# One more thing!\n", + "# Let's pickle the training and test dataset so we don't have to execute all this code next time!\n", + "\n", + "with open('train.pkl', 'wb') as file:\n", + " pickle.dump(train, file)\n", + "\n", + "with open('test.pkl', 'wb') as file:\n", + " pickle.dump(test, file)" + ] + }, + { + "cell_type": "markdown", + "id": "2b58dc61-747f-46f7-b9e0-c205db4f3e5e", + "metadata": {}, + "source": [ + "## Todos for you:\n", + "\n", + "- Investigate the dataset more!\n", + "- Confirm that the tokenizer tokenizes all 3 digit prices into 1 token" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/week6/day3.ipynb b/week6/day3.ipynb new file mode 100644 index 0000000..c20c4b1 --- /dev/null +++ b/week6/day3.ipynb @@ -0,0 +1,856 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "db8736a7-ed94-441c-9556-831fa57b5a10", + "metadata": {}, + "source": [ + "# The Product Pricer Continued\n", + "\n", + "A model that can estimate how much something costs, from its description.\n", + "\n", + "## Baseline Models\n", + "\n", + "Today we work on the simplest models to act as a starting point that we will beat." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "681c717b-4c24-4ac3-a5f3-3c5881d6e70a", + "metadata": {}, + "outputs": [], + "source": [ + "# imports\n", + "\n", + "import os\n", + "import math\n", + "import json\n", + "import random\n", + "from dotenv import load_dotenv\n", + "from huggingface_hub import login\n", + "from items import Item\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import pickle\n", + "from collections import Counter" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "933b6e75-3661-4f30-b0b5-c28d04e3748e", + "metadata": {}, + "outputs": [], + "source": [ + "# More imports for our traditional machine learning\n", + "\n", + "import pandas as pd\n", + "import numpy as np\n", + "from sklearn.linear_model import LinearRegression\n", + "from sklearn.metrics import mean_squared_error, r2_score\n", + "from sklearn.preprocessing import StandardScaler" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "42cf33b7-7abd-44ba-9780-c156b70473b5", + "metadata": {}, + "outputs": [], + "source": [ + "# And more imports for our NLP related machine learning\n", + "\n", + "from sklearn.feature_extraction.text import CountVectorizer\n", + "from gensim.models import Word2Vec\n", + "from gensim.utils import simple_preprocess" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a1ac3ec0-183c-4a12-920b-b06397f86815", + "metadata": {}, + "outputs": [], + "source": [ + "# Finally, more imports for more advanced machine learning\n", + "\n", + "from sklearn.svm import LinearSVR\n", + "from sklearn.ensemble import RandomForestRegressor" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6c01ee5f-c4fc-44fe-9d3a-907e8a0426d2", + "metadata": {}, + "outputs": [], + "source": [ + "# Constants - used for printing to stdout in color\n", + "\n", + "GREEN = \"\\033[92m\"\n", + "YELLOW = \"\\033[93m\"\n", + "RED = \"\\033[91m\"\n", + "RESET = \"\\033[0m\"\n", + "COLOR_MAP = {\"red\":RED, \"yellow\": YELLOW, \"green\": GREEN}" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "36d05bdc-0155-4c72-a7ee-aa4e614ffd3c", + "metadata": {}, + "outputs": [], + "source": [ + "# environment\n", + "\n", + "load_dotenv()\n", + "os.environ['OPENAI_API_KEY'] = os.getenv('OPENAI_API_KEY', 'your-key-if-not-using-env')\n", + "os.environ['ANTHROPIC_API_KEY'] = os.getenv('ANTHROPIC_API_KEY', 'your-key-if-not-using-env')\n", + "os.environ['HF_TOKEN'] = os.getenv('HF_TOKEN', 'your-key-if-not-using-env')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4dd3aad2-6f99-433c-8792-e461d2f06622", + "metadata": {}, + "outputs": [], + "source": [ + "# Log in to HuggingFace\n", + "\n", + "hf_token = os.environ['HF_TOKEN']\n", + "login(hf_token, add_to_git_credential=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c830ed3e-24ee-4af6-a07b-a1bfdcd39278", + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5c9b05f4-c9eb-462c-8d86-de9140a2d985", + "metadata": {}, + "outputs": [], + "source": [ + "# Let's avoid curating all our data again! Load in the pickle files:\n", + "\n", + "with open('train.pkl', 'rb') as file:\n", + " train = pickle.load(file)\n", + "\n", + "with open('test.pkl', 'rb') as file:\n", + " test = pickle.load(file)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a84638f7-5ff7-4f54-8751-3ef156264aee", + "metadata": {}, + "outputs": [], + "source": [ + "# Remind ourselves the training prompt" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b7619c85-6e9e-48a1-8efe-c6a60471b87c", + "metadata": {}, + "outputs": [], + "source": [ + "# Remind a test prompt" + ] + }, + { + "cell_type": "markdown", + "id": "bcccf130-125a-4958-bac3-f46dfcb29b3f", + "metadata": {}, + "source": [ + "## Unveiling a mighty script that we will use a lot!\n", + "\n", + "A rather pleasing Test Harness that will evaluate any model against 250 items from the Test set\n", + "\n", + "And show us the results in a visually satisfying way.\n", + "\n", + "You write a function of this form:\n", + "\n", + "```\n", + "def my_prediction_function(item):\n", + " # my code here\n", + " return my_estimate\n", + "```\n", + "\n", + "And then you call:\n", + "\n", + "`Tester.test(my_prediction_function)`\n", + "\n", + "To evaluate your model." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b5793f5c-e23e-4a74-9496-1e30dd1e8935", + "metadata": {}, + "outputs": [], + "source": [ + "class Tester:\n", + "\n", + " def __init__(self, predictor, title=None, data=test, size=250):\n", + " self.predictor = predictor\n", + " self.data = data\n", + " self.title = title or predictor.__name__.replace(\"_\", \" \").title()\n", + " self.size = size\n", + " self.guesses = []\n", + " self.truths = []\n", + " self.errors = []\n", + " self.sles = []\n", + " self.colors = []\n", + "\n", + " def color_for(self, error, truth):\n", + " if error<40 or error/truth < 0.2:\n", + " return \"green\"\n", + " elif error<80 or error/truth < 0.4:\n", + " return \"yellow\"\n", + " else:\n", + " return \"red\"\n", + " \n", + " def run_datapoint(self, i):\n", + " datapoint = self.data[i]\n", + " guess = self.predictor(datapoint)\n", + " truth = datapoint.price\n", + " error = abs(guess - truth)\n", + " log_error = math.log(truth+1) - math.log(guess+1)\n", + " sle = log_error ** 2\n", + " color = self.color_for(error, truth)\n", + " title = datapoint.title if len(datapoint.title) <= 40 else datapoint.title[:40]+\"...\"\n", + " self.guesses.append(guess)\n", + " self.truths.append(truth)\n", + " self.errors.append(error)\n", + " self.sles.append(sle)\n", + " self.colors.append(color)\n", + " print(f\"{COLOR_MAP[color]}{i+1}: Guess: ${guess:,.2f} Truth: ${truth:,.2f} Error: ${error:,.2f} SLE: {sle:,.2f} Item: {title}{RESET}\")\n", + "\n", + " def chart(self, title):\n", + " max_error = max(self.errors)\n", + " plt.figure(figsize=(12, 8))\n", + " max_val = max(max(self.truths), max(self.guesses))\n", + " plt.plot([0, max_val], [0, max_val], color='deepskyblue', lw=2, alpha=0.6)\n", + " plt.scatter(self.truths, self.guesses, s=3, c=self.colors)\n", + " plt.xlabel('Ground Truth')\n", + " plt.ylabel('Model Estimate')\n", + " plt.xlim(0, max_val)\n", + " plt.ylim(0, max_val)\n", + " plt.title(title)\n", + " plt.show()\n", + "\n", + " def report(self):\n", + " average_error = sum(self.errors) / self.size\n", + " rmsle = math.sqrt(sum(self.sles) / self.size)\n", + " hits = sum(1 for color in self.colors if color==\"green\")\n", + " title = f\"{self.title} Error=${average_error:,.2f} RMSLE={rmsle:,.2f} Hits={hits/self.size*100:.1f}%\"\n", + " self.chart(title)\n", + "\n", + " def run(self):\n", + " self.error = 0\n", + " for i in range(self.size):\n", + " self.run_datapoint(i)\n", + " self.report()\n", + "\n", + " @classmethod\n", + " def test(cls, function):\n", + " cls(function).run()" + ] + }, + { + "cell_type": "markdown", + "id": "066fef03-8338-4526-9df3-89b649ad4f0a", + "metadata": {}, + "source": [ + "# Now for something basic\n", + "\n", + "What's the very simplest model you could imagine?\n", + "\n", + "Let's start with a random number generator!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "66ea68e8-ab1b-4f0d-aba4-a59574d8f85e", + "metadata": {}, + "outputs": [], + "source": [ + "def random_pricer(prompt):\n", + " return random.randrange(1,1000)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "53d941cb-5b73-44ea-b893-3a0ce9997066", + "metadata": {}, + "outputs": [], + "source": [ + "# Set the random seed\n", + "\n", + "random.seed(42)\n", + "\n", + "# Run our TestRunner\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "97451c73-9c1b-43a8-b3b9-9c41942e48a2", + "metadata": {}, + "outputs": [], + "source": [ + "# That was fun!\n", + "# We can do better - here's another rather trivial model\n", + "\n", + "training_prices = [item.price for item in train]\n", + "training_average = sum(training_prices) / len(training_prices)\n", + "\n", + "def constant_pricer(prompt):\n", + " return training_average" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8cf384eb-30c2-40d8-b7e5-48942ac6a969", + "metadata": {}, + "outputs": [], + "source": [ + "# Run our constant predictor\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ce16eee8-bb34-4914-9aa5-57e30a567842", + "metadata": {}, + "outputs": [], + "source": [ + "# Create a new \"features\" field on items, and populate it with json parsed from the details dict\n", + "\n", + "for item in train:\n", + " item.features = json.loads(item.details)\n", + "for item in test:\n", + " item.features = json.loads(item.details)\n", + "\n", + "# Look at one" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fd7a41c5-0c51-41be-a61d-8e80c3e90930", + "metadata": {}, + "outputs": [], + "source": [ + "# Look at 20 most common features in training set\n", + "\n", + "import json\n", + "feature_count = Counter()\n", + "for item in train:\n", + " for f in item.features.keys():\n", + " feature_count[f]+=1\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3cef84a9-4932-48fd-9f7a-51cfc06e3216", + "metadata": {}, + "outputs": [], + "source": [ + "# Now some janky code to pluck out the Item Weight\n", + "# Don't worry too much about this: spoiler alert, it's not going to be much use in training!\n", + "\n", + "def get_weight(item):\n", + " weight_str = item.features.get('Item Weight')\n", + " if weight_str:\n", + " parts = weight_str.split(' ')\n", + " amount = float(parts[0])\n", + " unit = parts[1].lower()\n", + " if unit==\"pounds\":\n", + " return amount\n", + " elif unit==\"ounces\":\n", + " return amount / 16\n", + " elif unit==\"grams\":\n", + " return amount / 453.592\n", + " elif unit==\"milligrams\":\n", + " return amount / 453592\n", + " elif unit==\"kilograms\":\n", + " return amount / 0.453592\n", + " elif unit==\"hundredths\" and parts[2].lower()==\"pounds\":\n", + " return amount / 100\n", + " else:\n", + " print(weight_str)\n", + " return None" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f4848b4a-3c5a-4168-83a5-57a1f3ff270d", + "metadata": {}, + "outputs": [], + "source": [ + "weights = [get_weight(t) for t in train]\n", + "weights = [w for w in weights if w]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0cd11cc8-f16e-4991-b531-482189ddc4b6", + "metadata": {}, + "outputs": [], + "source": [ + "average_weight = sum(weights)/len(weights)\n", + "average_weight" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "efe8ec7f-9777-464f-a809-b06b7033bdb2", + "metadata": {}, + "outputs": [], + "source": [ + "def get_weight_with_default(item):\n", + " weight = get_weight(item)\n", + " return weight or average_weight" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c2659fef-a455-431a-9a0e-59342b80084b", + "metadata": {}, + "outputs": [], + "source": [ + "def get_rank(item):\n", + " rank_dict = item.features.get(\"Best Sellers Rank\")\n", + " if rank_dict:\n", + " ranks = rank_dict.values()\n", + " return sum(ranks)/len(ranks)\n", + " return None" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "20b9b5be-30bc-4d3a-8492-fbae119421a0", + "metadata": {}, + "outputs": [], + "source": [ + "ranks = [get_rank(t) for t in train]\n", + "ranks = [r for r in ranks if r]\n", + "average_rank = sum(ranks)/len(ranks)\n", + "average_rank" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "081e646a-ea50-4ec3-9512-6d5f96f8aef6", + "metadata": {}, + "outputs": [], + "source": [ + "def get_rank_with_default(item):\n", + " rank = get_rank(item)\n", + " return rank or average_rank" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "afd5daf7-cb2b-47af-bf17-dd71a9db65d0", + "metadata": {}, + "outputs": [], + "source": [ + "def get_text_length(item):\n", + " return len(item.test_prompt())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "85c89012-a922-401b-8a3b-94af641bf27a", + "metadata": {}, + "outputs": [], + "source": [ + "# investigate the brands\n", + "\n", + "brands = Counter()\n", + "for t in train:\n", + " brand = t.features.get(\"Brand\")\n", + " if brand:\n", + " brands[brand]+=1\n", + "\n", + "# Look at most common 40 brands" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "386dde54-e028-4a6d-b291-cce889ac1fa3", + "metadata": {}, + "outputs": [], + "source": [ + "TOP_ELECTRONICS_BRANDS = [\"hp\", \"dell\", \"lenovo\", \"samsung\", \"asus\", \"sony\", \"canon\", \"apple\", \"intel\"]\n", + "def is_top_electronics_brand(item):\n", + " brand = item.features.get(\"Brand\")\n", + " return brand and brand.lower() in TOP_ELECTRONICS_BRANDS" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c31c9c59-9d0d-47a8-a046-f20ed8d38d4c", + "metadata": {}, + "outputs": [], + "source": [ + "def get_features(item):\n", + " return {\n", + " \"weight\": get_weight_with_default(item),\n", + " \"rank\": get_rank_with_default(item),\n", + " \"text_length\": get_text_length(item),\n", + " \"is_top_electronics_brand\": 1 if is_top_electronics_brand(item) else 0\n", + " }" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "88850855-f5bd-4be2-9d7c-75bf8a21609b", + "metadata": {}, + "outputs": [], + "source": [ + "# Look at features in a training item" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ee9b5298-68b7-497d-8b2e-875287bb25b2", + "metadata": {}, + "outputs": [], + "source": [ + "# A utility function to convert our features into a pandas dataframe\n", + "\n", + "def list_to_dataframe(items):\n", + " features = [get_features(item) for item in items]\n", + " df = pd.DataFrame(features)\n", + " df['price'] = [item.price for item in items]\n", + " return df\n", + "\n", + "train_df = list_to_dataframe(train)\n", + "test_df = list_to_dataframe(test[:250])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cc1d68e0-ab33-40f4-9334-461d426af25c", + "metadata": {}, + "outputs": [], + "source": [ + "# Traditional Linear Regression!\n", + "\n", + "np.random.seed(42)\n", + "\n", + "# Separate features and target\n", + "feature_columns = [col for col in train_df.columns if col != 'price']\n", + "X_train = train_df[feature_columns]\n", + "y_train = train_df['price']\n", + "X_test = test_df[feature_columns]\n", + "y_test = test_df['price']\n", + "\n", + "feature_columns = ['weight', 'rank', 'text_length', 'is_top_electronics_brand']\n", + "\n", + "X_train = train_df[feature_columns]\n", + "y_train = train_df['price']\n", + "X_test = test_df[feature_columns]\n", + "y_test = test_df['price']\n", + "\n", + "# Train a Linear Regression\n", + "model = LinearRegression()\n", + "model.fit(X_train, y_train)\n", + "\n", + "for feature, coef in zip(feature_columns, model.coef_):\n", + " print(f\"{feature}: {coef}\")\n", + "print(f\"Intercept: {model.intercept_}\")\n", + "\n", + "# Predict the test set and evaluate\n", + "y_pred = model.predict(X_test)\n", + "mse = mean_squared_error(y_test, y_pred)\n", + "r2 = r2_score(y_test, y_pred)\n", + "\n", + "print(f\"Mean Squared Error: {mse}\")\n", + "print(f\"R-squared Score: {r2}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6561c3c7-ac7f-458b-983c-4a164b9d02c3", + "metadata": {}, + "outputs": [], + "source": [ + "# Function to predict price for a new item\n", + "\n", + "def linear_regression_pricer(item):\n", + " features = get_features(item)\n", + " features_df = pd.DataFrame([features])\n", + " return model.predict(features_df)[0]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9bf2caa4-657a-4fc6-9dcb-bed7eaf8dd65", + "metadata": {}, + "outputs": [], + "source": [ + "# test it\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "79e1574b-52ef-49cc-bfb5-e97252ed5db8", + "metadata": {}, + "outputs": [], + "source": [ + "# For the next few models, we prepare our documents and prices\n", + "# Note that we use the test prompt for the documents, otherwise we'll reveal the answer!!\n", + "\n", + "prices = np.array([float(item.price) for item in train])\n", + "documents = [item.test_prompt() for item in train]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e126c22e-53e7-4967-9ebb-6b7dd7fe4ade", + "metadata": {}, + "outputs": [], + "source": [ + "# Use the CountVectorizer for a Bag of Words model\n", + "\n", + "np.random.seed(42)\n", + "vectorizer = CountVectorizer(max_features=1000, stop_words='english')\n", + "X = vectorizer.fit_transform(documents)\n", + "regressor = LinearRegression()\n", + "regressor.fit(X, prices)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4b7148d3-3202-4536-a75c-1627495c51d3", + "metadata": {}, + "outputs": [], + "source": [ + "def bow_lr_pricer(item):\n", + " x = vectorizer.transform([item.test_prompt()])\n", + " return max(regressor.predict(x)[0], 0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "38f7f7d0-d22c-4282-92e5-9666a7b8535d", + "metadata": {}, + "outputs": [], + "source": [ + "# test it\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b623079e-54fa-418f-b209-7d54ebbcc23a", + "metadata": {}, + "outputs": [], + "source": [ + "# The amazing word2vec model, implemented in gensim NLP library\n", + "\n", + "np.random.seed(42)\n", + "\n", + "# Preprocess the documents\n", + "processed_docs = [simple_preprocess(doc) for doc in documents]\n", + "\n", + "# Train Word2Vec model\n", + "w2v_model = Word2Vec(sentences=processed_docs, vector_size=400, window=5, min_count=1, workers=8)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3de4efc7-68a6-4443-b9fd-70ee9d722362", + "metadata": {}, + "outputs": [], + "source": [ + "# This step of averaging vectors across the document is a weakness in our approach\n", + "\n", + "def document_vector(doc):\n", + " doc_words = simple_preprocess(doc)\n", + " word_vectors = [w2v_model.wv[word] for word in doc_words if word in w2v_model.wv]\n", + " return np.mean(word_vectors, axis=0) if word_vectors else np.zeros(w2v_model.vector_size)\n", + "\n", + "# Create feature matrix\n", + "X_w2v = np.array([document_vector(doc) for doc in documents])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9f05eeec-dab8-4007-8e8c-dcf4175b8861", + "metadata": {}, + "outputs": [], + "source": [ + "# Run Linear Regression on word2vec\n", + "\n", + "word2vec_lr_regressor = LinearRegression()\n", + "word2vec_lr_regressor.fit(X_w2v, prices)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e43d3fb9-e013-4573-90bf-9a522132b555", + "metadata": {}, + "outputs": [], + "source": [ + "def word2vec_lr_pricer(item):\n", + " doc = item.test_prompt()\n", + " doc_vector = document_vector(doc)\n", + " return max(0, word2vec_lr_regressor.predict([doc_vector])[0])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6740319d-5c8e-4125-9106-97e2e8ab72c7", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9d6d3265-37c1-464c-a489-5be4df0a7276", + "metadata": {}, + "outputs": [], + "source": [ + "# Support Vector Machines\n", + "\n", + "np.random.seed(42)\n", + "svr_regressor = LinearSVR()\n", + "\n", + "svr_regressor.fit(X_w2v, prices)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fcc289e6-56a1-4119-864f-2fdf8efde643", + "metadata": {}, + "outputs": [], + "source": [ + "def svr_pricer(item):\n", + " np.random.seed(42)\n", + " doc = item.test_prompt()\n", + " doc_vector = document_vector(doc)\n", + " return max(float(svr_regressor.predict([doc_vector])[0]),0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "80286a48-7cca-40e6-af76-a814a23bb9dc", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c6c44fe4-e4d9-4559-a8ed-d8f97e25b69f", + "metadata": {}, + "outputs": [], + "source": [ + "# And the powerful Random Forest regression\n", + "\n", + "rf_model = RandomForestRegressor(n_estimators=100, random_state=42, n_jobs=8)\n", + "rf_model.fit(X_w2v, prices)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a38812d0-913b-400b-804f-51434d895d05", + "metadata": {}, + "outputs": [], + "source": [ + "def random_forest_pricer(item):\n", + " doc = item.test_prompt()\n", + " doc_vector = document_vector(doc)\n", + " return max(0, rf_model.predict([doc_vector])[0])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "88b51c01-c791-4fdc-8010-00b2e486b8ce", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bc85b271-4c92-480c-8843-2d7713b0fa57", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/week6/day4.ipynb b/week6/day4.ipynb new file mode 100644 index 0000000..c7b2b7a --- /dev/null +++ b/week6/day4.ipynb @@ -0,0 +1,4705 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "db8736a7-ed94-441c-9556-831fa57b5a10", + "metadata": {}, + "source": [ + "# The Product Pricer Continued\n", + "\n", + "A model that can estimate how much something costs, from its description.\n", + "\n", + "## Baseline Models\n", + "\n", + "Today we work on the simplest models to act as a starting point that we will beat." + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "681c717b-4c24-4ac3-a5f3-3c5881d6e70a", + "metadata": {}, + "outputs": [], + "source": [ + "# imports\n", + "\n", + "import os\n", + "import re\n", + "import math\n", + "import json\n", + "import random\n", + "from dotenv import load_dotenv\n", + "from huggingface_hub import login\n", + "from items import Item\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import pickle\n", + "from collections import Counter\n", + "from openai import OpenAI" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "6c01ee5f-c4fc-44fe-9d3a-907e8a0426d2", + "metadata": {}, + "outputs": [], + "source": [ + "# Constants - used for printing to stdout in color\n", + "\n", + "GREEN = \"\\033[92m\"\n", + "YELLOW = \"\\033[93m\"\n", + "RED = \"\\033[91m\"\n", + "RESET = \"\\033[0m\"\n", + "COLOR_MAP = {\"red\":RED, \"orange\": YELLOW, \"green\": GREEN}" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "36d05bdc-0155-4c72-a7ee-aa4e614ffd3c", + "metadata": {}, + "outputs": [], + "source": [ + "# environment\n", + "\n", + "load_dotenv()\n", + "os.environ['OPENAI_API_KEY'] = os.getenv('OPENAI_API_KEY', 'your-key-if-not-using-env')\n", + "os.environ['ANTHROPIC_API_KEY'] = os.getenv('ANTHROPIC_API_KEY', 'your-key-if-not-using-env')\n", + "os.environ['HF_TOKEN'] = os.getenv('HF_TOKEN', 'your-key-if-not-using-env')" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "4dd3aad2-6f99-433c-8792-e461d2f06622", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Token is valid (permission: write).\n", + "Your token has been saved in your configured git credential helpers (osxkeychain).\n", + "Your token has been saved to /Users/ed/.cache/huggingface/token\n", + "Login successful\n" + ] + } + ], + "source": [ + "# Log in to HuggingFace\n", + "\n", + "hf_token = os.environ['HF_TOKEN']\n", + "login(hf_token, add_to_git_credential=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "b0a6fb86-74a4-403c-ab25-6db2d74e9d2b", + "metadata": {}, + "outputs": [], + "source": [ + "openai = OpenAI()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "c830ed3e-24ee-4af6-a07b-a1bfdcd39278", + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "5c9b05f4-c9eb-462c-8d86-de9140a2d985", + "metadata": {}, + "outputs": [], + "source": [ + "# Let's avoid curating all our data again! Load in the pickle files:\n", + "\n", + "with open('train.pkl', 'rb') as file:\n", + " train = pickle.load(file)\n", + "\n", + "with open('test.pkl', 'rb') as file:\n", + " test = pickle.load(file)" + ] + }, + { + "cell_type": "markdown", + "id": "bcccf130-125a-4958-bac3-f46dfcb29b3f", + "metadata": {}, + "source": [ + "## Unveiling a mighty script that we will use a lot!\n", + "\n", + "A rather pleasing Test Harness that will evaluate any model against 250 items from the Test set\n", + "\n", + "And show us the results in a visually satisfying way.\n", + "\n", + "You write a function of this form:\n", + "\n", + "```\n", + "def my_prediction_function(item):\n", + " # my code here\n", + " return my_estimate\n", + "```\n", + "\n", + "And then you call:\n", + "\n", + "`TestRunner(my_prediction_function).run()`\n", + "\n", + "To evaluate your model." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "b5793f5c-e23e-4a74-9496-1e30dd1e8935", + "metadata": {}, + "outputs": [], + "source": [ + "class TestRunner:\n", + "\n", + " def __init__(self, predictor, title=None, data=test, size=250):\n", + " self.predictor = predictor\n", + " self.data = data\n", + " self.title = title or predictor.__name__\n", + " self.size = size\n", + " self.guesses = []\n", + " self.truths = []\n", + " self.errors = []\n", + " self.sles = []\n", + " self.colors = []\n", + "\n", + " def color_for(self, error, truth):\n", + " if error<40 or error/truth < 0.2:\n", + " return \"green\"\n", + " elif error<80 or error/truth < 0.4:\n", + " return \"orange\"\n", + " else:\n", + " return \"red\"\n", + " \n", + " def run_datapoint(self, i):\n", + " datapoint = self.data[i]\n", + " guess = self.predictor(datapoint)\n", + " truth = datapoint.price\n", + " error = abs(guess - truth)\n", + " log_error = math.log(truth+1) - math.log(guess+1)\n", + " sle = log_error ** 2\n", + " color = self.color_for(error, truth)\n", + " title = datapoint.title if len(datapoint.title) <= 40 else datapoint.title[:40]+\"...\"\n", + " self.guesses.append(guess)\n", + " self.truths.append(truth)\n", + " self.errors.append(error)\n", + " self.sles.append(sle)\n", + " self.colors.append(color)\n", + " print(f\"{COLOR_MAP[color]}{i+1}: Guess: ${guess:,.2f} Truth: ${truth:,.2f} Error: ${error:,.2f} SLE: {sle:,.2f} Item: {title}{RESET}\")\n", + "\n", + " def chart(self, title):\n", + " max_error = max(self.errors)\n", + " plt.figure(figsize=(12, 8))\n", + " max_val = max(max(self.truths), max(self.guesses))\n", + " plt.plot([0, max_val], [0, max_val], color='deepskyblue', lw=2, alpha=0.6)\n", + " plt.scatter(self.truths, self.guesses, s=3, c=self.colors)\n", + " plt.xlabel('Ground Truth')\n", + " plt.ylabel('Model Estimate')\n", + " plt.xlim(0, max_val)\n", + " plt.ylim(0, max_val)\n", + " plt.title(title)\n", + " plt.show()\n", + "\n", + " def report(self):\n", + " average_error = sum(self.errors) / self.size\n", + " rmsle = math.sqrt(sum(self.sles) / self.size)\n", + " hits = sum(1 for color in self.colors if color==\"green\")\n", + " title = f\"{self.title} Error=${average_error:,.2f} RMSLE={rmsle:,.2f} Hits={hits/self.size*100:.1f}%\"\n", + " self.chart(title)\n", + "\n", + " def run(self):\n", + " self.error = 0\n", + " for i in range(self.size):\n", + " self.run_datapoint(i)\n", + " self.report()" + ] + }, + { + "cell_type": "markdown", + "id": "066fef03-8338-4526-9df3-89b649ad4f0a", + "metadata": {}, + "source": [ + "# Now for something basic\n", + "\n", + "What's the very simplest model you could imagine?\n", + "\n", + "Let's start with a random number generator!" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "66ea68e8-ab1b-4f0d-aba4-a59574d8f85e", + "metadata": {}, + "outputs": [], + "source": [ + "def messages_for(item):\n", + " system_message = \"You estimate prices of items. Reply only with the price, no explanation\"\n", + " user_prompt = item.test_prompt().replace(\" to the nearest dollar\",\"\")\n", + " return [\n", + " {\"role\": \"system\", \"content\": system_message},\n", + " {\"role\": \"user\", \"content\": user_prompt}\n", + " ]" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "b1af1888-f94a-4106-b0d8-8a70939eec4e", + "metadata": {}, + "outputs": [], + "source": [ + "def get_price(s):\n", + " s = s.replace('$','').replace(',','')\n", + " match = re.search(r\"[-+]?\\d*\\.\\d+|\\d+\", s)\n", + " return float(match.group()) if match else 0" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "f49e90d6-6749-4eb8-9347-5922b189d379", + "metadata": {}, + "outputs": [], + "source": [ + "def gpt_4o_frontier(item):\n", + " response = openai.chat.completions.create(\n", + " model=\"gpt-4o-2024-08-06\", \n", + " messages=messages_for(item),\n", + " seed=42,\n", + " max_tokens=5\n", + " )\n", + " reply = response.choices[0].message.content\n", + " return get_price(reply)" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "766e697e-55bf-4521-b301-3b07d20045e0", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[91m1: Guess: $209.95 Truth: $374.41 Error: $164.46 SLE: 0.33 Item: OEM AC Compressor w/A/C Repair Kit For F...\u001b[0m\n", + "\u001b[91m2: Guess: $74.99 Truth: $225.11 Error: $150.12 SLE: 1.19 Item: Motorcraft YB3125 Fan Clutch\u001b[0m\n", + "\u001b[92m3: Guess: $50.00 Truth: $61.68 Error: $11.68 SLE: 0.04 Item: Dorman 603-159 Front Washer Fluid Reserv...\u001b[0m\n", + "\u001b[93m4: Guess: $450.00 Truth: $599.99 Error: $149.99 SLE: 0.08 Item: HP Premium 17.3-inch HD Plus Touchscreen...\u001b[0m\n", + "\u001b[92m5: Guess: $15.99 Truth: $16.99 Error: $1.00 SLE: 0.00 Item: 5-Position Super Switch Pickup Selector ...\u001b[0m\n", + "\u001b[92m6: Guess: $15.99 Truth: $31.99 Error: $16.00 SLE: 0.44 Item: Horror Bookmarks, Resin Horror Bookmarks...\u001b[0m\n", + "\u001b[92m7: Guess: $129.99 Truth: $101.79 Error: $28.20 SLE: 0.06 Item: SK6241 - Stinger 4 Gauge 6000 Series Pow...\u001b[0m\n", + "\u001b[92m8: Guess: $299.00 Truth: $289.00 Error: $10.00 SLE: 0.00 Item: Godox ML60Bi LED Light Kit, Handheld LED...\u001b[0m\n", + "\u001b[93m9: Guess: $450.00 Truth: $635.86 Error: $185.86 SLE: 0.12 Item: Randall RG75DG3PLUS G3 Plus 100-Watt Com...\u001b[0m\n", + "\u001b[92m10: Guess: $59.99 Truth: $65.99 Error: $6.00 SLE: 0.01 Item: HOLDWILL 6 Pack LED Shop Light, 4FT 24W ...\u001b[0m\n", + "\u001b[92m11: Guess: $209.99 Truth: $254.21 Error: $44.22 SLE: 0.04 Item: Viking Horns V103C/1005ATK 3 Gallon Air ...\u001b[0m\n", + "\u001b[92m12: Guess: $367.99 Truth: $412.99 Error: $45.00 SLE: 0.01 Item: CURT 70110 Custom Tow Bar Base Plate Bra...\u001b[0m\n", + "\u001b[91m13: Guess: $59.99 Truth: $205.50 Error: $145.51 SLE: 1.49 Item: 10-Pack Solar HAMMERED BRONZE Finish Pos...\u001b[0m\n", + "\u001b[93m14: Guess: $299.99 Truth: $248.23 Error: $51.76 SLE: 0.04 Item: COSTWAY Electric Tumble Dryer, Sliver\u001b[0m\n", + "\u001b[93m15: Guess: $299.99 Truth: $399.00 Error: $99.01 SLE: 0.08 Item: FREE SIGNAL TV Transit 32\" 12 Volt DC Po...\u001b[0m\n", + "\u001b[92m16: Guess: $350.00 Truth: $373.94 Error: $23.94 SLE: 0.00 Item: Bilstein 5100 Monotube Gas Shock Set com...\u001b[0m\n", + "\u001b[92m17: Guess: $99.99 Truth: $92.89 Error: $7.10 SLE: 0.01 Item: Sangean K-200 Multi-Function Upright AM/...\u001b[0m\n", + "\u001b[92m18: Guess: $43.99 Truth: $51.99 Error: $8.00 SLE: 0.03 Item: Charles Leonard Magnetic Lapboard Class ...\u001b[0m\n", + "\u001b[93m19: Guess: $100.00 Truth: $179.00 Error: $79.00 SLE: 0.33 Item: Gigabyte AMD Radeon HD 7870 2 GB GDDR5 D...\u001b[0m\n", + "\u001b[92m20: Guess: $12.99 Truth: $19.42 Error: $6.43 SLE: 0.14 Item: 3dRose LLC 8 x 8 x 0.25 Inches Bull Terr...\u001b[0m\n", + "\u001b[92m21: Guess: $599.00 Truth: $539.95 Error: $59.05 SLE: 0.01 Item: ROKINON 85mm F1.4 Auto Focus Full Frame ...\u001b[0m\n", + "\u001b[92m22: Guess: $150.00 Truth: $147.67 Error: $2.33 SLE: 0.00 Item: AUTOSAVER88 Headlight Assembly Compatibl...\u001b[0m\n", + "\u001b[92m23: Guess: $37.99 Truth: $24.99 Error: $13.00 SLE: 0.16 Item: ASI NAUTICAL 2.5 Inches Opera Glasses Bi...\u001b[0m\n", + "\u001b[91m24: Guess: $25.99 Truth: $149.00 Error: $123.01 SLE: 2.94 Item: Behringer TUBE OVERDRIVE TO100 Authentic...\u001b[0m\n", + "\u001b[92m25: Guess: $15.99 Truth: $16.99 Error: $1.00 SLE: 0.00 Item: Fun Express Insect Finger Puppets - 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...\u001b[0m\n", + "\u001b[92m52: Guess: $25.99 Truth: $46.78 Error: $20.79 SLE: 0.33 Item: G.I. JOE Hasbro 3 3/4\" Wave 5 Action Fig...\u001b[0m\n", + "\u001b[93m53: Guess: $250.00 Truth: $171.44 Error: $78.56 SLE: 0.14 Item: T&S Brass B-0232-BST Double Pantry Fauce...\u001b[0m\n", + "\u001b[92m54: Guess: $450.00 Truth: $458.00 Error: $8.00 SLE: 0.00 Item: ZTUOAUMA Fuel Injection Pump 3090942 309...\u001b[0m\n", + "\u001b[92m55: Guess: $129.99 Truth: $130.75 Error: $0.76 SLE: 0.00 Item: 2AP18AA#ABA Hp Prime Graphing Calculator...\u001b[0m\n", + "\u001b[92m56: Guess: $75.00 Truth: $83.81 Error: $8.81 SLE: 0.01 Item: Lowrance 000-0119-83 Nmea 2000 25' Exten...\u001b[0m\n", + "\u001b[91m57: Guess: $100.00 Truth: $386.39 Error: $286.39 SLE: 1.81 Item: Jeep Genuine Accessories 82213051 Hood L...\u001b[0m\n", + "\u001b[92m58: Guess: $180.00 Truth: $169.00 Error: $11.00 SLE: 0.00 Item: GODOX CB-06 Hard Carrying Case with Whee...\u001b[0m\n", + "\u001b[92m59: Guess: $25.99 Truth: $17.95 Error: $8.04 SLE: 0.13 Item: Au-Tomotive Gold, INC. Ford Black Valet ...\u001b[0m\n", + "\u001b[92m60: Guess: $239.99 Truth: $269.00 Error: $29.01 SLE: 0.01 Item: Snailfly Black Roof Rack Rail + Cross Ba...\u001b[0m\n", + "\u001b[92m61: Guess: $49.99 Truth: $77.77 Error: $27.78 SLE: 0.19 Item: KING SHA Anti Glare LED Track Lighting H...\u001b[0m\n", + "\u001b[93m62: Guess: $149.99 Truth: $88.99 Error: $61.00 SLE: 0.27 Item: APS Compatible with Chevy Silverado 1500...\u001b[0m\n", + "\u001b[92m63: Guess: $300.00 Truth: $364.41 Error: $64.41 SLE: 0.04 Item: Wilwood Engineering 14011291R Brake Cali...\u001b[0m\n", + "\u001b[92m64: Guess: $150.00 Truth: $127.03 Error: $22.97 SLE: 0.03 Item: ACDelco Gold 336-1925A Starter, Remanufa...\u001b[0m\n", + "\u001b[92m65: Guess: $650.00 Truth: $778.95 Error: $128.95 SLE: 0.03 Item: UWS EC10783 69-Inch Matte Black Heavy-Wa...\u001b[0m\n", + "\u001b[93m66: Guess: $250.00 Truth: $206.66 Error: $43.34 SLE: 0.04 Item: Dell Latitude E5440 14in Business Laptop...\u001b[0m\n", + "\u001b[92m67: Guess: $50.99 Truth: $35.94 Error: $15.05 SLE: 0.12 Item: (Plug and Play) Spare Tire Brake Light W...\u001b[0m\n", + "\u001b[92m68: Guess: $149.99 Truth: $149.00 Error: $0.99 SLE: 0.00 Item: The Ultimate Roadside Rescue Assistant\u001b[0m\n", + "\u001b[92m69: Guess: $250.00 Truth: $251.98 Error: $1.98 SLE: 0.00 Item: Brand New 18\" x 8.5\" Replacement Wheel f...\u001b[0m\n", + "\u001b[92m70: Guess: $150.00 Truth: $160.00 Error: $10.00 SLE: 0.00 Item: Headlight Headlamp LH Left & RH Right Pa...\u001b[0m\n", + "\u001b[92m71: Guess: $39.99 Truth: $39.99 Error: $0.00 SLE: 0.00 Item: Lilo And Stitch Deluxe Oversize Print La...\u001b[0m\n", + "\u001b[93m72: Guess: $250.00 Truth: $362.41 Error: $112.41 SLE: 0.14 Item: AC Compressor & A/C Clutch For Hyundai A...\u001b[0m\n", + "\u001b[91m73: Guess: $180.00 Truth: $344.00 Error: $164.00 SLE: 0.42 Item: House Of Troy PIN475-AB Pinnacle Collect...\u001b[0m\n", + "\u001b[92m74: Guess: $15.00 Truth: $25.09 Error: $10.09 SLE: 0.24 Item: Juno T29 WH Floating Electrical Feed Sin...\u001b[0m\n", + "\u001b[91m75: Guess: $75.00 Truth: $175.95 Error: $100.95 SLE: 0.71 Item: Sherman GO-PARTS - for 2013-2016 Toyota ...\u001b[0m\n", + "\u001b[92m76: Guess: $169.99 Truth: $132.64 Error: $37.35 SLE: 0.06 Item: Roland RPU-3 Electronic Keyboard Pedal o...\u001b[0m\n", + "\u001b[91m77: Guess: $599.99 Truth: $422.99 Error: $177.00 SLE: 0.12 Item: Rockland VMI14 12,000 Pound 12 Volt DC E...\u001b[0m\n", + "\u001b[91m78: Guess: $250.00 Truth: $146.48 Error: $103.52 SLE: 0.28 Item: Max Advanced Brakes Elite XDS Front Cros...\u001b[0m\n", + "\u001b[92m79: Guess: $135.99 Truth: $156.83 Error: $20.84 SLE: 0.02 Item: Quality-Built 11030 Premium Quality Alte...\u001b[0m\n", + "\u001b[91m80: Guess: $80.00 Truth: $251.99 Error: $171.99 SLE: 1.30 Item: Lucida LG-510 Student Classical Guitar, ...\u001b[0m\n", + "\u001b[91m81: Guess: $525.00 Truth: $940.33 Error: $415.33 SLE: 0.34 Item: Longacre 52-79800 Aluminum Turn Plates\u001b[0m\n", + "\u001b[92m82: Guess: $29.99 Truth: $52.99 Error: $23.00 SLE: 0.31 Item: Motion Pro 08-0380 Adjustable Torque Wre...\u001b[0m\n", + "\u001b[93m83: Guess: $299.95 Truth: $219.95 Error: $80.00 SLE: 0.10 Item: Glyph Thunderbolt 3 NVMe Dock (0 GB)\u001b[0m\n", + "\u001b[92m84: Guess: $370.00 Truth: $441.03 Error: $71.03 SLE: 0.03 Item: TOYO Open Country MT Performance Radial ...\u001b[0m\n", + "\u001b[92m85: Guess: $199.99 Truth: $168.98 Error: $31.01 SLE: 0.03 Item: Razer Seiren X USB Streaming Microphone ...\u001b[0m\n", + "\u001b[92m86: Guess: $3.99 Truth: $2.49 Error: $1.50 SLE: 0.13 Item: Happy Birthday to Dad From Your Daughter...\u001b[0m\n", + "\u001b[92m87: Guess: $79.99 Truth: $98.62 Error: $18.63 SLE: 0.04 Item: Little Tikes My Real Jam First Concert S...\u001b[0m\n", + "\u001b[91m88: Guess: $150.00 Truth: $256.95 Error: $106.95 SLE: 0.29 Item: Studio M Peace and Harmony Art Pole Comm...\u001b[0m\n", + "\u001b[92m89: Guess: $24.99 Truth: $30.99 Error: $6.00 SLE: 0.04 Item: MyVolts 12V Power Supply Adaptor Compati...\u001b[0m\n", + "\u001b[92m90: Guess: $490.00 Truth: $569.84 Error: $79.84 SLE: 0.02 Item: Dell Latitude 7212 Rugged Extreme Tablet...\u001b[0m\n", + "\u001b[91m91: Guess: $59.99 Truth: $177.99 Error: $118.00 SLE: 1.16 Item: Covermates Contour Fit Car Cover - Light...\u001b[0m\n", + "\u001b[92m92: Guess: $800.00 Truth: $997.99 Error: $197.99 SLE: 0.05 Item: Westin 57-4025 Black HDX Grille Guard fi...\u001b[0m\n", + "\u001b[92m93: Guess: $199.99 Truth: $219.00 Error: $19.01 SLE: 0.01 Item: Fieldpiece JL2 Job Link Wireless App Tra...\u001b[0m\n", + "\u001b[93m94: Guess: $175.00 Truth: $225.55 Error: $50.55 SLE: 0.06 Item: hansgrohe Talis S Modern Premium Easy Cl...\u001b[0m\n", + "\u001b[91m95: Guess: $1,500.00 Truth: $495.95 Error: $1,004.05 SLE: 1.22 Item: G-Technology G-SPEED eS PRO High-Perform...\u001b[0m\n", + "\u001b[93m96: Guess: $749.99 Truth: $942.37 Error: $192.38 SLE: 0.05 Item: DreamLine SHDR-1960723L-01 Shower Door, ...\u001b[0m\n", + "\u001b[92m97: Guess: $5.99 Truth: $1.94 Error: $4.05 SLE: 0.75 Item: Sanctuary Square Backplate Finish: Oiled...\u001b[0m\n", + "\u001b[92m98: Guess: $274.95 Truth: $284.34 Error: $9.39 SLE: 0.00 Item: Pelican Protector 1750 Long Case - Multi...\u001b[0m\n", + "\u001b[92m99: Guess: $150.00 Truth: $171.90 Error: $21.90 SLE: 0.02 Item: Brock Replacement Driver and Passenger H...\u001b[0m\n", + "\u001b[92m100: Guess: $149.99 Truth: $144.99 Error: $5.00 SLE: 0.00 Item: Carlinkit Ai Box Mini, Android 11, Multi...\u001b[0m\n", + "\u001b[92m101: Guess: $499.99 Truth: $470.47 Error: $29.52 SLE: 0.00 Item: StarDot NetCamLIVE2 YouTube Live Stream ...\u001b[0m\n", + "\u001b[93m102: Guess: $25.99 Truth: $66.95 Error: $40.96 SLE: 0.85 Item: Atomic Compatible FILXXCAR0016 16x25x5 M...\u001b[0m\n", + "\u001b[93m103: Guess: $60.00 Truth: $117.00 Error: $57.00 SLE: 0.44 Item: Bandai Awakening of S. H. s.h.figuarts s...\u001b[0m\n", + "\u001b[93m104: Guess: $125.00 Truth: $172.14 Error: $47.14 SLE: 0.10 Item: Fit System 62135G Passenger Side Towing ...\u001b[0m\n", + "\u001b[92m105: Guess: $350.00 Truth: $392.74 Error: $42.74 SLE: 0.01 Item: Black Horse Black Aluminum Exceed Runnin...\u001b[0m\n", + "\u001b[92m106: Guess: $19.99 Truth: $16.99 Error: $3.00 SLE: 0.02 Item: Dearsun Twinkle Star Color Night Light P...\u001b[0m\n", + "\u001b[92m107: Guess: $0.50 Truth: $1.34 Error: $0.84 SLE: 0.20 Item: Pokemon - Gallade Spirit Link (83/108) -...\u001b[0m\n", + "\u001b[93m108: Guess: $249.00 Truth: $349.98 Error: $100.98 SLE: 0.12 Item: Ibanez GA34STCE-NT GIO Series Classical ...\u001b[0m\n", + "\u001b[91m109: Guess: $650.00 Truth: $370.71 Error: $279.29 SLE: 0.31 Item: Set 2 Heavy Duty 12-16.5 12x16.5 12 Ply ...\u001b[0m\n", + "\u001b[92m110: Guess: $50.00 Truth: $65.88 Error: $15.88 SLE: 0.07 Item: Hairpin Table Legs 28\" Heavy Duty Hairpi...\u001b[0m\n", + "\u001b[92m111: Guess: $229.99 Truth: $229.99 Error: $0.00 SLE: 0.00 Item: Marada Racing Seat with Adjustable Slide...\u001b[0m\n", + "\u001b[92m112: Guess: $6.99 Truth: $9.14 Error: $2.15 SLE: 0.06 Item: Remington Industries 24UL1007STRWHI25 24...\u001b[0m\n", + "\u001b[93m113: Guess: $250.00 Truth: $199.00 Error: $51.00 SLE: 0.05 Item: Acer S3-391-6046 13.3-inch Ultrabook, In...\u001b[0m\n", + "\u001b[93m114: Guess: $149.99 Truth: $109.99 Error: $40.00 SLE: 0.09 Item: ICBEAMER 7\" RGB LED Headlights Bulb Halo...\u001b[0m\n", + "\u001b[93m115: Guess: $450.00 Truth: $570.42 Error: $120.42 SLE: 0.06 Item: R1 Concepts Front Rear Brakes and Rotors...\u001b[0m\n", + "\u001b[93m116: Guess: $169.99 Truth: $279.99 Error: $110.00 SLE: 0.25 Item: Camplux 2.64 GPM Tankless , Outdoor Port...\u001b[0m\n", + "\u001b[92m117: Guess: $25.99 Truth: $30.99 Error: $5.00 SLE: 0.03 Item: KNOKLOCK 10 Pack 3.75 Inch(96mm) Kitchen...\u001b[0m\n", + "\u001b[92m118: Guess: $24.95 Truth: $31.99 Error: $7.04 SLE: 0.06 Item: Valley Enterprises Yaesu USB FTDI CT-62 ...\u001b[0m\n", + "\u001b[92m119: Guess: $15.99 Truth: $15.90 Error: $0.09 SLE: 0.00 Item: G9 LED Light Bulbs,8W,75W 100W replaceme...\u001b[0m\n", + "\u001b[91m120: Guess: $129.99 Truth: $45.99 Error: $84.00 SLE: 1.05 Item: ZCHAOZ 4 Lights Antique White Farmhouse ...\u001b[0m\n", + "\u001b[93m121: Guess: $169.99 Truth: $113.52 Error: $56.47 SLE: 0.16 Item: Honeywell TH8320R1003 Honeywell VisionPr...\u001b[0m\n", + "\u001b[92m122: Guess: $500.00 Truth: $516.99 Error: $16.99 SLE: 0.00 Item: Patriot Exhaust H8013-1 1-7/8\" Clippster...\u001b[0m\n", + "\u001b[93m123: Guess: $120.00 Truth: $196.99 Error: $76.99 SLE: 0.24 Item: Fitrite Autopart New Front Left Driver S...\u001b[0m\n", + "\u001b[92m124: Guess: $15.99 Truth: $46.55 Error: $30.56 SLE: 1.06 Item: Technical Precision Replacement for GE G...\u001b[0m\n", + "\u001b[93m125: Guess: $274.99 Truth: $356.99 Error: $82.00 SLE: 0.07 Item: Covercraft Carhartt SeatSaver Front Row ...\u001b[0m\n", + "\u001b[92m126: Guess: $329.00 Truth: $319.95 Error: $9.05 SLE: 0.00 Item: Sennheiser SD Pro 2 (506008) - Double-Si...\u001b[0m\n", + "\u001b[92m127: Guess: $100.00 Truth: $96.06 Error: $3.94 SLE: 0.00 Item: Hitachi MAF0110 Mass Air Flow Sensor\u001b[0m\n", + "\u001b[92m128: Guess: $179.99 Truth: $190.99 Error: $11.00 SLE: 0.00 Item: AmScope SE305R-P-LED-PS36A 10X-30X LED C...\u001b[0m\n", + "\u001b[91m129: Guess: $75.00 Truth: $257.95 Error: $182.95 SLE: 1.50 Item: Front Left Driver Side Window Regulator ...\u001b[0m\n", + "\u001b[92m130: Guess: $75.00 Truth: $62.95 Error: $12.05 SLE: 0.03 Item: Premium Replica Hubcap Set, Fits Nissan ...\u001b[0m\n", + "\u001b[92m131: Guess: $29.99 Truth: $47.66 Error: $17.67 SLE: 0.20 Item: Excellerations Phonics Spelling Game for...\u001b[0m\n", + "\u001b[93m132: Guess: $299.99 Truth: $226.99 Error: $73.00 SLE: 0.08 Item: RC4WD BigDog Dual Axle Scale Car/Truck T...\u001b[0m\n", + "\u001b[92m133: Guess: $350.00 Truth: $359.95 Error: $9.95 SLE: 0.00 Item: Unknown Stage 2 Clutch Kit - Low Altitud...\u001b[0m\n", + "\u001b[93m134: Guess: $25.99 Truth: $78.40 Error: $52.41 SLE: 1.16 Item: 2002-2008 Dodge Ram 1500 Mopar 4X4 Emble...\u001b[0m\n", + "\u001b[92m135: Guess: $150.00 Truth: $172.77 Error: $22.77 SLE: 0.02 Item: Pro Comp Alloys Series 89 Wheel with Pol...\u001b[0m\n", + "\u001b[93m136: Guess: $239.66 Truth: $316.45 Error: $76.79 SLE: 0.08 Item: Detroit Axle - Front Rear Strut & Coil S...\u001b[0m\n", + "\u001b[93m137: Guess: $129.99 Truth: $87.99 Error: $42.00 SLE: 0.15 Item: ECCPP Rear Wheel Axle Replacement fit fo...\u001b[0m\n", + "\u001b[92m138: Guess: $250.00 Truth: $226.63 Error: $23.37 SLE: 0.01 Item: Dell Latitude E6520 Intel i7-2720QM 2.20...\u001b[0m\n", + "\u001b[92m139: Guess: $32.99 Truth: $31.49 Error: $1.50 SLE: 0.00 Item: F FIERCE CYCLE 251pcs Black Universal Mo...\u001b[0m\n", + "\u001b[92m140: Guess: $180.00 Truth: $196.00 Error: $16.00 SLE: 0.01 Item: Flash Furniture 4 Pk. HERCULES Series 88...\u001b[0m\n", + "\u001b[93m141: Guess: $32.99 Truth: $78.40 Error: $45.41 SLE: 0.72 Item: B&M 30287 Throttle Valve/Kickdown Cable,...\u001b[0m\n", + "\u001b[92m142: Guess: $150.00 Truth: $116.25 Error: $33.75 SLE: 0.06 Item: Gates TCK226 PowerGrip Premium Timing Be...\u001b[0m\n", + "\u001b[92m143: Guess: $129.99 Truth: $112.78 Error: $17.21 SLE: 0.02 Item: Monroe Shocks & Struts Quick-Strut 17149...\u001b[0m\n", + "\u001b[92m144: Guess: $32.99 Truth: $27.32 Error: $5.67 SLE: 0.03 Item: Feit Electric BPMR16/GU10/930CA/6 35W EQ...\u001b[0m\n", + "\u001b[93m145: Guess: $100.99 Truth: $145.91 Error: $44.92 SLE: 0.13 Item: Yellow Jacket 2806 Contractor Extension ...\u001b[0m\n", + "\u001b[93m146: Guess: $250.00 Truth: $171.09 Error: $78.91 SLE: 0.14 Item: Garage-Pro Tailgate SET Compatible with ...\u001b[0m\n", + "\u001b[92m147: Guess: $149.99 Truth: $167.95 Error: $17.96 SLE: 0.01 Item: 3M Perfect It Buffing and Polishing Kit ...\u001b[0m\n", + "\u001b[92m148: Guess: $45.99 Truth: $28.49 Error: $17.50 SLE: 0.22 Item: Chinese Style Dollhouse Model DIY Miniat...\u001b[0m\n", + "\u001b[92m149: Guess: $100.00 Truth: $122.23 Error: $22.23 SLE: 0.04 Item: Generic NRG Innovations SRK-161H Steerin...\u001b[0m\n", + "\u001b[92m150: Guess: $34.99 Truth: $32.99 Error: $2.00 SLE: 0.00 Item: Learning Resources Coding Critters Range...\u001b[0m\n", + "\u001b[92m151: Guess: $59.99 Truth: $71.20 Error: $11.21 SLE: 0.03 Item: Bosch Automotive 15463 Oxygen Sensor, OE...\u001b[0m\n", + "\u001b[92m152: Guess: $80.00 Truth: $112.75 Error: $32.75 SLE: 0.12 Item: Case of 24-2 Inch Blue Painters Tape - 6...\u001b[0m\n", + "\u001b[92m153: Guess: $120.00 Truth: $142.43 Error: $22.43 SLE: 0.03 Item: MOCA Engine Water Pump & Fan Clutch fit ...\u001b[0m\n", + "\u001b[92m154: Guess: $350.00 Truth: $398.99 Error: $48.99 SLE: 0.02 Item: SAREMAS Foot Step Bars for Hyundai Palis...\u001b[0m\n", + "\u001b[92m155: Guess: $480.00 Truth: $449.00 Error: $31.00 SLE: 0.00 Item: Gretsch G9210 Square Neck Boxcar Mahogan...\u001b[0m\n", + "\u001b[92m156: Guess: $169.99 Truth: $189.00 Error: $19.01 SLE: 0.01 Item: NikoMaku Mirror Dash Cam Front and Rear ...\u001b[0m\n", + "\u001b[92m157: Guess: $149.95 Truth: $120.91 Error: $29.04 SLE: 0.05 Item: Fenix HP25R v2.0 USB-C Rechargeable Head...\u001b[0m\n", + "\u001b[92m158: Guess: $189.99 Truth: $203.53 Error: $13.54 SLE: 0.00 Item: R&L Racing Heavy Duty Roll-Up Soft Tonne...\u001b[0m\n", + "\u001b[92m159: Guess: $349.99 Truth: $349.99 Error: $0.00 SLE: 0.00 Item: Garmin 010-02258-10 GPSMAP 64sx, Handhel...\u001b[0m\n", + "\u001b[92m160: Guess: $12.99 Truth: $34.35 Error: $21.36 SLE: 0.86 Item: Brown 5-7/8\" X 8-1/2\" X 3/16\" Thick Heav...\u001b[0m\n", + "\u001b[92m161: Guess: $399.99 Truth: $384.99 Error: $15.00 SLE: 0.00 Item: GAOMON PD2200 Pen Display & 20 Pen Nibs ...\u001b[0m\n", + "\u001b[92m162: Guess: $180.00 Truth: $211.00 Error: $31.00 SLE: 0.02 Item: VXMOTOR for 97-03 Ford F150/F250 Lightdu...\u001b[0m\n", + "\u001b[92m163: Guess: $150.00 Truth: $129.00 Error: $21.00 SLE: 0.02 Item: HP EliteBook 2540p Intel Core i7-640LM X...\u001b[0m\n", + "\u001b[93m164: Guess: $32.99 Truth: $111.45 Error: $78.46 SLE: 1.43 Item: Green EPX Mixing Nozzles 100-Pack-fits 3...\u001b[0m\n", + "\u001b[93m165: Guess: $32.99 Truth: $81.12 Error: $48.13 SLE: 0.78 Item: Box Partners 6 1/4 x 3 1/8\" 13 Pt. Manil...\u001b[0m\n", + "\u001b[93m166: Guess: $329.99 Truth: $457.08 Error: $127.09 SLE: 0.11 Item: Vixen Air 1/2\" NPT Air Ride Suspension H...\u001b[0m\n", + "\u001b[91m167: Guess: $129.99 Truth: $49.49 Error: $80.50 SLE: 0.91 Item: Smart Floor Lamp, 2700-6500K+RGBPink Mul...\u001b[0m\n", + "\u001b[92m168: Guess: $45.99 Truth: $80.56 Error: $34.57 SLE: 0.30 Item: SOZG 324mm Wheelbase Body Shell RC Car B...\u001b[0m\n", + "\u001b[93m169: Guess: $370.00 Truth: $278.39 Error: $91.61 SLE: 0.08 Item: Mickey Thompson ET Street S/S Racing Rad...\u001b[0m\n", + "\u001b[93m170: Guess: $280.00 Truth: $364.50 Error: $84.50 SLE: 0.07 Item: Pirelli 275/40R20 106W XL RFT P0 PZ4-LUX...\u001b[0m\n", + "\u001b[93m171: Guess: $296.99 Truth: $378.99 Error: $82.00 SLE: 0.06 Item: Torklift C3212 Rear Tie Down\u001b[0m\n", + "\u001b[92m172: Guess: $200.00 Truth: $165.28 Error: $34.72 SLE: 0.04 Item: Cardone 78-4226 Remanufactured Ford Comp...\u001b[0m\n", + "\u001b[92m173: Guess: $45.99 Truth: $56.74 Error: $10.75 SLE: 0.04 Item: Kidde AccessPoint 001798 Supra TouchPoin...\u001b[0m\n", + "\u001b[91m174: Guess: $175.00 Truth: $307.95 Error: $132.95 SLE: 0.32 Item: 3M Protecta 3100414 Self Retracting Life...\u001b[0m\n", + "\u001b[92m175: Guess: $65.00 Truth: $38.00 Error: $27.00 SLE: 0.28 Item: Plantronics 89435-01 Wired Headset, Blac...\u001b[0m\n", + "\u001b[92m176: Guess: $59.99 Truth: $53.00 Error: $6.99 SLE: 0.01 Item: Logitech K750 Wireless Solar Keyboard fo...\u001b[0m\n", + "\u001b[92m177: Guess: $500.00 Truth: $498.00 Error: $2.00 SLE: 0.00 Item: Olympus PEN E-PL9 Body Only with 3-Inch ...\u001b[0m\n", + "\u001b[93m178: Guess: $100.00 Truth: $53.99 Error: $46.01 SLE: 0.37 Item: Beck/Arnley 051-6066 Hub & Bearing Assem...\u001b[0m\n", + "\u001b[93m179: Guess: $280.00 Truth: $350.00 Error: $70.00 SLE: 0.05 Item: Eibach Pro-Kit Performance Springs E10-6...\u001b[0m\n", + "\u001b[93m180: Guess: $199.99 Truth: $299.95 Error: $99.96 SLE: 0.16 Item: LEGO DC Batman 1989 Batwing 76161 Displa...\u001b[0m\n", + "\u001b[92m181: Guess: $80.00 Truth: $94.93 Error: $14.93 SLE: 0.03 Item: Kingston Brass KS3608PL Restoration 4-In...\u001b[0m\n", + "\u001b[92m182: Guess: $399.00 Truth: $379.00 Error: $20.00 SLE: 0.00 Item: Polk Vanishing Series 265-LS In-Wall 3-W...\u001b[0m\n", + "\u001b[92m183: Guess: $250.00 Truth: $299.95 Error: $49.95 SLE: 0.03 Item: Spec-D Tuning LED Projector Headlights G...\u001b[0m\n", + "\u001b[92m184: Guess: $29.99 Truth: $24.99 Error: $5.00 SLE: 0.03 Item: RICHMOND & FINCH Airpod Pro Case, Green ...\u001b[0m\n", + "\u001b[92m185: Guess: $32.99 Truth: $41.04 Error: $8.05 SLE: 0.05 Item: LFA Industries 43B-5A-33JT 1/16-1/2-1.5-...\u001b[0m\n", + "\u001b[92m186: Guess: $299.99 Truth: $327.90 Error: $27.91 SLE: 0.01 Item: SAUTVS LED Headlight Assembly for Slings...\u001b[0m\n", + "\u001b[92m187: Guess: $10.99 Truth: $10.99 Error: $0.00 SLE: 0.00 Item: 2 Pack Combo Womens Safety Glasses Impac...\u001b[0m\n", + "\u001b[92m188: Guess: $14.99 Truth: $14.99 Error: $0.00 SLE: 0.00 Item: Arepa - Venezuelan cuisine - Venezuela P...\u001b[0m\n", + "\u001b[93m189: Guess: $15.99 Truth: $84.95 Error: $68.96 SLE: 2.63 Item: Schlage Lock Company KS23D2300 Padlock, ...\u001b[0m\n", + "\u001b[92m190: Guess: $79.99 Truth: $111.00 Error: $31.01 SLE: 0.11 Item: Techni Mobili White Sit to Stand Mobile ...\u001b[0m\n", + "\u001b[92m191: Guess: $85.99 Truth: $123.73 Error: $37.74 SLE: 0.13 Item: Special Lite Products Contemporary Wall ...\u001b[0m\n", + "\u001b[92m192: Guess: $500.00 Truth: $557.38 Error: $57.38 SLE: 0.01 Item: Tascam DP-24SD 24-Track Digital Portastu...\u001b[0m\n", + "\u001b[91m193: Guess: $250.00 Truth: $95.55 Error: $154.45 SLE: 0.91 Item: Glow Lighting 636CC10SP Vista Crystal Fl...\u001b[0m\n", + "\u001b[92m194: Guess: $149.99 Truth: $154.00 Error: $4.01 SLE: 0.00 Item: Z3 Wind Deflector, Smoke Tint, Lexan, Wi...\u001b[0m\n", + "\u001b[93m195: Guess: $150.00 Truth: $198.99 Error: $48.99 SLE: 0.08 Item: Olympus E-20 5MP Digital Camera w/ 4x Op...\u001b[0m\n", + "\u001b[91m196: Guess: $129.99 Truth: $430.44 Error: $300.45 SLE: 1.42 Item: PHYNEDI 1:1000 World Trade Center (1973-...\u001b[0m\n", + "\u001b[92m197: Guess: $15.99 Truth: $45.67 Error: $29.68 SLE: 1.02 Item: YANGHUAN Unstable Unicorns Adventure Car...\u001b[0m\n", + "\u001b[93m198: Guess: $150.00 Truth: $249.00 Error: $99.00 SLE: 0.25 Item: Interlogix NX-1820E NetworX Touch Screen...\u001b[0m\n", + "\u001b[92m199: Guess: $45.99 Truth: $42.99 Error: $3.00 SLE: 0.00 Item: Steering Damper,Universal Motorcycle Han...\u001b[0m\n", + "\u001b[92m200: Guess: $150.00 Truth: $181.33 Error: $31.33 SLE: 0.04 Item: Amprobe TIC 410A Hot Stick Attachment\u001b[0m\n", + "\u001b[92m201: Guess: $2.99 Truth: $6.03 Error: $3.04 SLE: 0.32 Item: MyCableMart 3.5mm Plug/Jack, 4 Conductor...\u001b[0m\n", + "\u001b[92m202: Guess: $30.00 Truth: $29.99 Error: $0.01 SLE: 0.00 Item: OtterBox + Pop Symmetry Series Case for ...\u001b[0m\n", + "\u001b[91m203: Guess: $500.00 Truth: $899.00 Error: $399.00 SLE: 0.34 Item: Dell XPS X8700-1572BLK Desktop ( Intel C...\u001b[0m\n", + "\u001b[92m204: Guess: $399.99 Truth: $399.99 Error: $0.00 SLE: 0.00 Item: Franklin Iron Works Sperry Industrial Br...\u001b[0m\n", + "\u001b[92m205: Guess: $32.99 Truth: $4.66 Error: $28.33 SLE: 3.21 Item: Avery Legal Dividers, Standard Collated ...\u001b[0m\n", + "\u001b[93m206: Guess: $315.00 Truth: $261.41 Error: $53.59 SLE: 0.03 Item: Moen 8346 Commercial Posi-Temp Pressure ...\u001b[0m\n", + "\u001b[92m207: Guess: $134.99 Truth: $136.97 Error: $1.98 SLE: 0.00 Item: Carlisle Versa Trail ATR All Terrain Rad...\u001b[0m\n", + "\u001b[91m208: Guess: $180.00 Truth: $79.00 Error: $101.00 SLE: 0.67 Item: SUNWAYFOTO 44mm Tripod Ball Head Arca Co...\u001b[0m\n", + "\u001b[92m209: Guess: $400.00 Truth: $444.99 Error: $44.99 SLE: 0.01 Item: NanoBeam AC NBE-5AC-Gen2-US 4 Units 5GHz...\u001b[0m\n", + "\u001b[92m210: Guess: $399.99 Truth: $411.94 Error: $11.95 SLE: 0.00 Item: WULF 4\" Front 2\" Rear Leveling Lift Kit ...\u001b[0m\n", + "\u001b[92m211: Guess: $165.00 Truth: $148.40 Error: $16.60 SLE: 0.01 Item: Alera ALEVABFMC Valencia Series Mobile B...\u001b[0m\n", + "\u001b[91m212: Guess: $65.00 Truth: $244.99 Error: $179.99 SLE: 1.73 Item: YU-GI-OH! Ignition Assault Booster Box\u001b[0m\n", + "\u001b[93m213: Guess: $150.00 Truth: $86.50 Error: $63.50 SLE: 0.30 Item: 48\" x 36\" Extra-Large Framed Magnetic Bl...\u001b[0m\n", + "\u001b[91m214: Guess: $100.00 Truth: $297.95 Error: $197.95 SLE: 1.18 Item: Dell Latitude D620 Renewed Notebook PC\u001b[0m\n", + "\u001b[93m215: Guess: $490.00 Truth: $399.99 Error: $90.01 SLE: 0.04 Item: acer Aspire 5 Laptop, AMD Ryzen 3 5300U ...\u001b[0m\n", + "\u001b[93m216: Guess: $450.00 Truth: $599.00 Error: $149.00 SLE: 0.08 Item: Elk 31080/6RC-GRN 30 by 6-Inch Viva 6-Li...\u001b[0m\n", + "\u001b[92m217: Guess: $75.00 Truth: $105.99 Error: $30.99 SLE: 0.12 Item: Barbie Top Model Doll\u001b[0m\n", + "\u001b[93m218: Guess: $550.00 Truth: $689.00 Error: $139.00 SLE: 0.05 Item: Danby Designer 20-In. Electric Range wit...\u001b[0m\n", + "\u001b[92m219: Guess: $399.00 Truth: $404.99 Error: $5.99 SLE: 0.00 Item: FixtureDisplays® Metal Truss Podium Doub...\u001b[0m\n", + "\u001b[93m220: Guess: $150.00 Truth: $207.76 Error: $57.76 SLE: 0.10 Item: ACDelco 13597235 GM Original Equipment A...\u001b[0m\n", + "\u001b[91m221: Guess: $275.00 Truth: $171.82 Error: $103.18 SLE: 0.22 Item: EBC S1KF1135 Stage-1 Premium Street Brak...\u001b[0m\n", + "\u001b[92m222: Guess: $299.99 Truth: $293.24 Error: $6.75 SLE: 0.00 Item: FXR Men's Boost FX Jacket (Black/Orange/...\u001b[0m\n", + "\u001b[92m223: Guess: $399.95 Truth: $374.95 Error: $25.00 SLE: 0.00 Item: SuperATV Scratch Resistant 3-in-1 Flip W...\u001b[0m\n", + "\u001b[93m224: Guess: $69.99 Truth: $111.99 Error: $42.00 SLE: 0.22 Item: SBU 3 Layer All Weather Mini Van Car Cov...\u001b[0m\n", + "\u001b[92m225: Guess: $32.99 Truth: $42.99 Error: $10.00 SLE: 0.07 Item: 2 Pack Outdoor Brochure Holder Advertisi...\u001b[0m\n", + "\u001b[93m226: Guess: $180.00 Truth: $116.71 Error: $63.29 SLE: 0.19 Item: Monroe Shocks & Struts Quick-Strut 17158...\u001b[0m\n", + "\u001b[93m227: Guess: $175.99 Truth: $118.61 Error: $57.38 SLE: 0.15 Item: Elements of Design Magellan EB235AL Thre...\u001b[0m\n", + "\u001b[92m228: Guess: $150.00 Truth: $147.12 Error: $2.88 SLE: 0.00 Item: GM Genuine Parts 15-62961 Air Conditioni...\u001b[0m\n", + "\u001b[92m229: Guess: $129.99 Truth: $119.99 Error: $10.00 SLE: 0.01 Item: Baseus 17-in-1 USB C Docking Station to ...\u001b[0m\n", + "\u001b[92m230: Guess: $299.99 Truth: $369.98 Error: $69.99 SLE: 0.04 Item: Whitehall™ Personalized Whitehall Capito...\u001b[0m\n", + "\u001b[93m231: Guess: $249.95 Truth: $315.55 Error: $65.60 SLE: 0.05 Item: Pro Circuit Works Pipe PY05250 for 02-19...\u001b[0m\n", + "\u001b[92m232: Guess: $179.99 Truth: $190.99 Error: $11.00 SLE: 0.00 Item: HYANKA 15 \"1200W Professional DJ Speaker...\u001b[0m\n", + "\u001b[92m233: Guess: $180.00 Truth: $155.00 Error: $25.00 SLE: 0.02 Item: Bluetooth X6BT Card Reader Writer Encode...\u001b[0m\n", + "\u001b[92m234: Guess: $399.99 Truth: $349.99 Error: $50.00 SLE: 0.02 Item: AIRAID Cold Air Intake System by K&N: In...\u001b[0m\n", + "\u001b[93m235: Guess: $329.99 Truth: $249.99 Error: $80.00 SLE: 0.08 Item: Bostingner Shower Faucets Sets Complete,...\u001b[0m\n", + "\u001b[92m236: Guess: $35.99 Truth: $42.99 Error: $7.00 SLE: 0.03 Item: PIT66 Front Bumper Turn Signal Lights, C...\u001b[0m\n", + "\u001b[92m237: Guess: $16.99 Truth: $17.99 Error: $1.00 SLE: 0.00 Item: Caseology Bumpy Compatible with Google P...\u001b[0m\n", + "\u001b[92m238: Guess: $350.00 Truth: $425.00 Error: $75.00 SLE: 0.04 Item: Fleck 2510 Timer Mechanical Filter Contr...\u001b[0m\n", + "\u001b[92m239: Guess: $229.99 Truth: $249.99 Error: $20.00 SLE: 0.01 Item: Haloview MC7108 Wireless RV Backup Camer...\u001b[0m\n", + "\u001b[91m240: Guess: $30.00 Truth: $138.23 Error: $108.23 SLE: 2.26 Item: Schmidt Spiele - Manhattan\u001b[0m\n", + "\u001b[92m241: Guess: $399.99 Truth: $414.99 Error: $15.00 SLE: 0.00 Item: Corsa 14333 Tip Kit (Ford Mustang GT)\u001b[0m\n", + "\u001b[92m242: Guess: $150.00 Truth: $168.28 Error: $18.28 SLE: 0.01 Item: Hoshizaki FM116A Fan Motor Kit 1\u001b[0m\n", + "\u001b[91m243: Guess: $299.99 Truth: $199.99 Error: $100.00 SLE: 0.16 Item: BAINUO Antler Chandelier Lighting,6 Ligh...\u001b[0m\n", + "\u001b[92m244: Guess: $150.00 Truth: $126.70 Error: $23.30 SLE: 0.03 Item: DNA MOTORING HL-OH-FEXP06-SM-AM Smoke Le...\u001b[0m\n", + "\u001b[92m245: Guess: $10.99 Truth: $5.91 Error: $5.08 SLE: 0.30 Item: Wera Stainless 3840/1 TS 2.5mm Hex Inser...\u001b[0m\n", + "\u001b[92m246: Guess: $229.99 Truth: $193.06 Error: $36.93 SLE: 0.03 Item: Celestron - PowerSeeker 127EQ Telescope ...\u001b[0m\n", + "\u001b[93m247: Guess: $299.99 Truth: $249.99 Error: $50.00 SLE: 0.03 Item: NHOPEEW 10.1inch Android Car Radio Carpl...\u001b[0m\n", + "\u001b[92m248: Guess: $50.00 Truth: $64.12 Error: $14.12 SLE: 0.06 Item: Other Harmonica (Suzuki-2Timer24- A)\u001b[0m\n", + "\u001b[92m249: Guess: $150.00 Truth: $114.99 Error: $35.01 SLE: 0.07 Item: Harley Air Filter Venturi Intake Air Cle...\u001b[0m\n", + "\u001b[92m250: Guess: $999.00 Truth: $926.00 Error: $73.00 SLE: 0.01 Item: Elite Screens Edge Free Ambient Light Re...\u001b[0m\n" + ] + }, + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "TestRunner(gpt_4o_frontier).run()" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "id": "53d941cb-5b73-44ea-b893-3a0ce9997066", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[91m1: Guess: $655.00 Truth: $374.41 Error: $280.59 SLE: 0.31 Item: OEM AC Compressor w/A/C Repair Kit For F...\u001b[0m\n", + "\u001b[91m2: Guess: $115.00 Truth: $225.11 Error: $110.11 SLE: 0.45 Item: Motorcraft YB3125 Fan Clutch\u001b[0m\n", + "\u001b[92m3: Guess: $26.00 Truth: $61.68 Error: $35.68 SLE: 0.71 Item: Dorman 603-159 Front Washer Fluid Reserv...\u001b[0m\n", + "\u001b[93m4: Guess: $760.00 Truth: $599.99 Error: $160.01 SLE: 0.06 Item: HP Premium 17.3-inch HD Plus Touchscreen...\u001b[0m\n", + "\u001b[91m5: Guess: $282.00 Truth: $16.99 Error: $265.01 SLE: 7.59 Item: 5-Position Super Switch Pickup Selector ...\u001b[0m\n", + "\u001b[91m6: Guess: $251.00 Truth: $31.99 Error: $219.01 SLE: 4.13 Item: Horror Bookmarks, Resin Horror Bookmarks...\u001b[0m\n", + "\u001b[91m7: Guess: $229.00 Truth: $101.79 Error: $127.21 SLE: 0.65 Item: SK6241 - Stinger 4 Gauge 6000 Series Pow...\u001b[0m\n", + "\u001b[91m8: Guess: $143.00 Truth: $289.00 Error: $146.00 SLE: 0.49 Item: Godox ML60Bi LED Light Kit, Handheld LED...\u001b[0m\n", + "\u001b[92m9: Guess: $755.00 Truth: $635.86 Error: $119.14 SLE: 0.03 Item: Randall RG75DG3PLUS G3 Plus 100-Watt Com...\u001b[0m\n", + "\u001b[92m10: Guess: $105.00 Truth: $65.99 Error: $39.01 SLE: 0.21 Item: HOLDWILL 6 Pack LED Shop Light, 4FT 24W ...\u001b[0m\n", + "\u001b[91m11: Guess: $693.00 Truth: $254.21 Error: $438.79 SLE: 1.00 Item: Viking Horns V103C/1005ATK 3 Gallon Air ...\u001b[0m\n", + "\u001b[91m12: Guess: $759.00 Truth: $412.99 Error: $346.01 SLE: 0.37 Item: CURT 70110 Custom Tow Bar Base Plate Bra...\u001b[0m\n", + "\u001b[91m13: Guess: $914.00 Truth: $205.50 Error: $708.50 SLE: 2.22 Item: 10-Pack Solar HAMMERED BRONZE Finish Pos...\u001b[0m\n", + "\u001b[91m14: Guess: $559.00 Truth: $248.23 Error: $310.77 SLE: 0.66 Item: COSTWAY Electric Tumble Dryer, Sliver\u001b[0m\n", + "\u001b[91m15: Guess: $90.00 Truth: $399.00 Error: $309.00 SLE: 2.19 Item: FREE SIGNAL TV Transit 32\" 12 Volt DC Po...\u001b[0m\n", + "\u001b[91m16: Guess: $605.00 Truth: $373.94 Error: $231.06 SLE: 0.23 Item: Bilstein 5100 Monotube Gas Shock Set com...\u001b[0m\n", + "\u001b[91m17: Guess: $433.00 Truth: $92.89 Error: $340.11 SLE: 2.34 Item: Sangean K-200 Multi-Function Upright AM/...\u001b[0m\n", + "\u001b[92m18: Guess: $33.00 Truth: $51.99 Error: $18.99 SLE: 0.20 Item: Charles Leonard Magnetic Lapboard Class ...\u001b[0m\n", + "\u001b[91m19: Guess: $31.00 Truth: $179.00 Error: $148.00 SLE: 2.98 Item: Gigabyte AMD Radeon HD 7870 2 GB GDDR5 D...\u001b[0m\n", + "\u001b[93m20: Guess: $96.00 Truth: $19.42 Error: $76.58 SLE: 2.43 Item: 3dRose LLC 8 x 8 x 0.25 Inches Bull Terr...\u001b[0m\n", + "\u001b[91m21: Guess: $224.00 Truth: $539.95 Error: $315.95 SLE: 0.77 Item: ROKINON 85mm F1.4 Auto Focus Full Frame ...\u001b[0m\n", + "\u001b[91m22: Guess: $239.00 Truth: $147.67 Error: $91.33 SLE: 0.23 Item: AUTOSAVER88 Headlight Assembly Compatibl...\u001b[0m\n", + "\u001b[91m23: Guess: $518.00 Truth: $24.99 Error: $493.01 SLE: 8.97 Item: ASI NAUTICAL 2.5 Inches Opera Glasses Bi...\u001b[0m\n", + "\u001b[91m24: Guess: $617.00 Truth: $149.00 Error: $468.00 SLE: 2.00 Item: Behringer TUBE OVERDRIVE TO100 Authentic...\u001b[0m\n", + "\u001b[92m25: Guess: $28.00 Truth: $16.99 Error: $11.01 SLE: 0.23 Item: Fun Express Insect Finger Puppets - 24 f...\u001b[0m\n", + "\u001b[91m26: Guess: $575.00 Truth: $7.99 Error: $567.01 SLE: 17.31 Item: WAFJAMF Roller Stamp Identity Theft Stam...\u001b[0m\n", + "\u001b[92m27: Guess: $204.00 Truth: $199.99 Error: $4.01 SLE: 0.00 Item: Capulina Tiffany Floor Lamp 2-Light 16\" ...\u001b[0m\n", + "\u001b[91m28: Guess: $734.00 Truth: $251.45 Error: $482.55 SLE: 1.14 Item: Apple Watch Series 6 (GPS, 44mm) - Space...\u001b[0m\n", + "\u001b[91m29: Guess: $666.00 Truth: $231.62 Error: $434.38 SLE: 1.11 Item: ICON 01725 Tandem Axle Fender Skirt FS17...\u001b[0m\n", + "\u001b[91m30: Guess: $719.00 Truth: $135.00 Error: $584.00 SLE: 2.78 Item: SanDisk 128GB Ultra (10 Pack) MicroSD Cl...\u001b[0m\n", + "\u001b[91m31: Guess: $559.00 Truth: $356.62 Error: $202.38 SLE: 0.20 Item: Velvac 2020,L,C/Hr,W,E2003,102\",Bk - 715...\u001b[0m\n", + "\u001b[91m32: Guess: $430.00 Truth: $257.99 Error: $172.01 SLE: 0.26 Item: TCMT Passenger Backrest Sissy Bar & Lugg...\u001b[0m\n", + "\u001b[91m33: Guess: $226.00 Truth: $27.99 Error: $198.01 SLE: 4.24 Item: Alnicov 63.5MM Brass Tremolo Block,Tremo...\u001b[0m\n", + "\u001b[91m34: Guess: $460.00 Truth: $171.20 Error: $288.80 SLE: 0.97 Item: Subaru Forester Outback Legacy OEM Engin...\u001b[0m\n", + "\u001b[91m35: Guess: $604.00 Truth: $225.00 Error: $379.00 SLE: 0.97 Item: Richmond Auto Upholstery - 2012 Dodge Ra...\u001b[0m\n", + "\u001b[91m36: Guess: $285.00 Truth: $105.00 Error: $180.00 SLE: 0.99 Item: AP-39 Automotive Paint Primer Grey 2K Ur...\u001b[0m\n", + "\u001b[91m37: Guess: $829.00 Truth: $299.99 Error: $529.01 SLE: 1.03 Item: Road Top Wireless Carplay Retrofit Kit D...\u001b[0m\n", + "\u001b[91m38: Guess: $891.00 Truth: $535.09 Error: $355.91 SLE: 0.26 Item: Gibson Performance Exhaust 5658 Aluminiz...\u001b[0m\n", + "\u001b[92m39: Guess: $7.00 Truth: $12.33 Error: $5.33 SLE: 0.26 Item: Bella Tunno Happy Links - Baby Montessor...\u001b[0m\n", + "\u001b[91m40: Guess: $778.00 Truth: $84.99 Error: $693.01 SLE: 4.86 Item: CANMORE H300 Handheld GPS Golf Device, S...\u001b[0m\n", + "\u001b[91m41: Guess: $826.00 Truth: $15.99 Error: $810.01 SLE: 15.09 Item: DCPOWER AC Adapter Compatible Replacemen...\u001b[0m\n", + "\u001b[91m42: Guess: $164.00 Truth: $62.44 Error: $101.56 SLE: 0.91 Item: Sharp, VX2128V, Commercial Desktop Calcu...\u001b[0m\n", + "\u001b[91m43: Guess: $715.00 Truth: $82.99 Error: $632.01 SLE: 4.59 Item: Melissa & Doug Lifelike Plush Stork Gian...\u001b[0m\n", + "\u001b[93m44: Guess: $433.00 Truth: $599.95 Error: $166.95 SLE: 0.11 Item: Sony SSCS8 2-Way 3-Driver Center Channel...\u001b[0m\n", + "\u001b[91m45: Guess: $349.00 Truth: $194.99 Error: $154.01 SLE: 0.34 Item: ASUS Chromebook CX1, 14\" Full HD NanoEdg...\u001b[0m\n", + "\u001b[92m46: Guess: $285.00 Truth: $344.95 Error: $59.95 SLE: 0.04 Item: FiiO X7 32GB Hi-Res Lossless Music Playe...\u001b[0m\n", + "\u001b[91m47: Guess: $160.00 Truth: $37.99 Error: $122.01 SLE: 2.01 Item: TORRO Leather Case Compatible with iPhon...\u001b[0m\n", + "\u001b[92m48: Guess: $221.00 Truth: $224.35 Error: $3.35 SLE: 0.00 Item: Universal Air Conditioner KT 1031 A/C Co...\u001b[0m\n", + "\u001b[93m49: Guess: $981.00 Truth: $814.00 Error: $167.00 SLE: 0.03 Item: Street Series Stainless Performance Cat-...\u001b[0m\n", + "\u001b[91m50: Guess: $782.00 Truth: $439.88 Error: $342.12 SLE: 0.33 Item: Lenovo IdeaPad 3 14-inch Laptop, 14.0-in...\u001b[0m\n", + "\u001b[92m51: Guess: $345.00 Truth: $341.43 Error: $3.57 SLE: 0.00 Item: Access Bed Covers TonnoSport 22050219 - ...\u001b[0m\n", + "\u001b[93m52: Guess: $105.00 Truth: $46.78 Error: $58.22 SLE: 0.63 Item: G.I. JOE Hasbro 3 3/4\" Wave 5 Action Fig...\u001b[0m\n", + "\u001b[93m53: Guess: $95.00 Truth: $171.44 Error: $76.44 SLE: 0.34 Item: T&S Brass B-0232-BST Double Pantry Fauce...\u001b[0m\n", + "\u001b[92m54: Guess: $390.00 Truth: $458.00 Error: $68.00 SLE: 0.03 Item: ZTUOAUMA Fuel Injection Pump 3090942 309...\u001b[0m\n", + "\u001b[92m55: Guess: $100.00 Truth: $130.75 Error: $30.75 SLE: 0.07 Item: 2AP18AA#ABA Hp Prime Graphing Calculator...\u001b[0m\n", + "\u001b[91m56: Guess: $368.00 Truth: $83.81 Error: $284.19 SLE: 2.16 Item: Lowrance 000-0119-83 Nmea 2000 25' Exten...\u001b[0m\n", + "\u001b[91m57: Guess: $868.00 Truth: $386.39 Error: $481.61 SLE: 0.65 Item: Jeep Genuine Accessories 82213051 Hood L...\u001b[0m\n", + "\u001b[91m58: Guess: $353.00 Truth: $169.00 Error: $184.00 SLE: 0.54 Item: GODOX CB-06 Hard Carrying Case with Whee...\u001b[0m\n", + "\u001b[91m59: Guess: $619.00 Truth: $17.95 Error: $601.05 SLE: 12.17 Item: Au-Tomotive Gold, INC. Ford Black Valet ...\u001b[0m\n", + "\u001b[92m60: Guess: $271.00 Truth: $269.00 Error: $2.00 SLE: 0.00 Item: Snailfly Black Roof Rack Rail + Cross Ba...\u001b[0m\n", + "\u001b[91m61: Guess: $827.00 Truth: $77.77 Error: $749.23 SLE: 5.53 Item: KING SHA Anti Glare LED Track Lighting H...\u001b[0m\n", + "\u001b[93m62: Guess: $45.00 Truth: $88.99 Error: $43.99 SLE: 0.45 Item: APS Compatible with Chevy Silverado 1500...\u001b[0m\n", + "\u001b[91m63: Guess: $748.00 Truth: $364.41 Error: $383.59 SLE: 0.52 Item: Wilwood Engineering 14011291R Brake Cali...\u001b[0m\n", + "\u001b[91m64: Guess: $471.00 Truth: $127.03 Error: $343.97 SLE: 1.70 Item: ACDelco Gold 336-1925A Starter, Remanufa...\u001b[0m\n", + "\u001b[93m65: Guess: $550.00 Truth: $778.95 Error: $228.95 SLE: 0.12 Item: UWS EC10783 69-Inch Matte Black Heavy-Wa...\u001b[0m\n", + "\u001b[93m66: Guess: $128.00 Truth: $206.66 Error: $78.66 SLE: 0.23 Item: Dell Latitude E5440 14in Business Laptop...\u001b[0m\n", + "\u001b[91m67: Guess: $997.00 Truth: $35.94 Error: $961.06 SLE: 10.87 Item: (Plug and Play) Spare Tire Brake Light W...\u001b[0m\n", + "\u001b[91m68: Guess: $945.00 Truth: $149.00 Error: $796.00 SLE: 3.39 Item: The Ultimate Roadside Rescue Assistant\u001b[0m\n", + "\u001b[91m69: Guess: $388.00 Truth: $251.98 Error: $136.02 SLE: 0.19 Item: Brand New 18\" x 8.5\" Replacement Wheel f...\u001b[0m\n", + "\u001b[93m70: Guess: $81.00 Truth: $160.00 Error: $79.00 SLE: 0.46 Item: Headlight Headlamp LH Left & RH Right Pa...\u001b[0m\n", + "\u001b[91m71: Guess: $566.00 Truth: $39.99 Error: $526.01 SLE: 6.90 Item: Lilo And Stitch Deluxe Oversize Print La...\u001b[0m\n", + "\u001b[92m72: Guess: $301.00 Truth: $362.41 Error: $61.41 SLE: 0.03 Item: AC Compressor & A/C Clutch For Hyundai A...\u001b[0m\n", + "\u001b[91m73: Guess: $850.00 Truth: $344.00 Error: $506.00 SLE: 0.82 Item: House Of Troy PIN475-AB Pinnacle Collect...\u001b[0m\n", + "\u001b[91m74: Guess: $644.00 Truth: $25.09 Error: $618.91 SLE: 10.29 Item: Juno T29 WH Floating Electrical Feed Sin...\u001b[0m\n", + "\u001b[91m75: Guess: $634.00 Truth: $175.95 Error: $458.05 SLE: 1.63 Item: Sherman GO-PARTS - for 2013-2016 Toyota ...\u001b[0m\n", + "\u001b[91m76: Guess: $907.00 Truth: $132.64 Error: $774.36 SLE: 3.67 Item: Roland RPU-3 Electronic Keyboard Pedal o...\u001b[0m\n", + "\u001b[91m77: Guess: $883.00 Truth: $422.99 Error: $460.01 SLE: 0.54 Item: Rockland VMI14 12,000 Pound 12 Volt DC E...\u001b[0m\n", + "\u001b[91m78: Guess: $371.00 Truth: $146.48 Error: $224.52 SLE: 0.86 Item: Max Advanced Brakes Elite XDS Front Cros...\u001b[0m\n", + "\u001b[91m79: Guess: $592.00 Truth: $156.83 Error: $435.17 SLE: 1.75 Item: Quality-Built 11030 Premium Quality Alte...\u001b[0m\n", + "\u001b[93m80: Guess: $197.00 Truth: $251.99 Error: $54.99 SLE: 0.06 Item: Lucida LG-510 Student Classical Guitar, ...\u001b[0m\n", + "\u001b[93m81: Guess: $722.00 Truth: $940.33 Error: $218.33 SLE: 0.07 Item: Longacre 52-79800 Aluminum Turn Plates\u001b[0m\n", + "\u001b[92m82: Guess: $72.00 Truth: $52.99 Error: $19.01 SLE: 0.09 Item: Motion Pro 08-0380 Adjustable Torque Wre...\u001b[0m\n", + "\u001b[91m83: Guess: $47.00 Truth: $219.95 Error: $172.95 SLE: 2.33 Item: Glyph Thunderbolt 3 NVMe Dock (0 GB)\u001b[0m\n", + "\u001b[91m84: Guess: $678.00 Truth: $441.03 Error: $236.97 SLE: 0.18 Item: TOYO Open Country MT Performance Radial ...\u001b[0m\n", + "\u001b[93m85: Guess: $234.00 Truth: $168.98 Error: $65.02 SLE: 0.10 Item: Razer Seiren X USB Streaming Microphone ...\u001b[0m\n", + "\u001b[91m86: Guess: $792.00 Truth: $2.49 Error: $789.51 SLE: 29.44 Item: Happy Birthday to Dad From Your Daughter...\u001b[0m\n", + "\u001b[91m87: Guess: $297.00 Truth: $98.62 Error: $198.38 SLE: 1.20 Item: Little Tikes My Real Jam First Concert S...\u001b[0m\n", + "\u001b[91m88: Guess: $82.00 Truth: $256.95 Error: $174.95 SLE: 1.29 Item: Studio M Peace and Harmony Art Pole Comm...\u001b[0m\n", + "\u001b[91m89: Guess: $876.00 Truth: $30.99 Error: $845.01 SLE: 10.96 Item: MyVolts 12V Power Supply Adaptor Compati...\u001b[0m\n", + "\u001b[91m90: Guess: $239.00 Truth: $569.84 Error: $330.84 SLE: 0.75 Item: Dell Latitude 7212 Rugged Extreme Tablet...\u001b[0m\n", + "\u001b[91m91: Guess: $888.00 Truth: $177.99 Error: $710.01 SLE: 2.57 Item: Covermates Contour Fit Car Cover - Light...\u001b[0m\n", + "\u001b[91m92: Guess: $104.00 Truth: $997.99 Error: $893.99 SLE: 5.08 Item: Westin 57-4025 Black HDX Grille Guard fi...\u001b[0m\n", + "\u001b[91m93: Guess: $390.00 Truth: $219.00 Error: $171.00 SLE: 0.33 Item: Fieldpiece JL2 Job Link Wireless App Tra...\u001b[0m\n", + "\u001b[93m94: Guess: $285.00 Truth: $225.55 Error: $59.45 SLE: 0.05 Item: hansgrohe Talis S Modern Premium Easy Cl...\u001b[0m\n", + "\u001b[92m95: Guess: $465.00 Truth: $495.95 Error: $30.95 SLE: 0.00 Item: G-Technology G-SPEED eS PRO High-Perform...\u001b[0m\n", + "\u001b[93m96: Guess: $651.00 Truth: $942.37 Error: $291.37 SLE: 0.14 Item: DreamLine SHDR-1960723L-01 Shower Door, ...\u001b[0m\n", + "\u001b[91m97: Guess: $855.00 Truth: $1.94 Error: $853.06 SLE: 32.19 Item: Sanctuary Square Backplate Finish: Oiled...\u001b[0m\n", + "\u001b[93m98: Guess: $374.00 Truth: $284.34 Error: $89.66 SLE: 0.07 Item: Pelican Protector 1750 Long Case - Multi...\u001b[0m\n", + "\u001b[92m99: Guess: $167.00 Truth: $171.90 Error: $4.90 SLE: 0.00 Item: Brock Replacement Driver and Passenger H...\u001b[0m\n", + "\u001b[91m100: Guess: $380.00 Truth: $144.99 Error: $235.01 SLE: 0.92 Item: Carlinkit Ai Box Mini, Android 11, Multi...\u001b[0m\n", + "\u001b[93m101: Guess: $364.00 Truth: $470.47 Error: $106.47 SLE: 0.07 Item: StarDot NetCamLIVE2 YouTube Live Stream ...\u001b[0m\n", + "\u001b[91m102: Guess: $215.00 Truth: $66.95 Error: $148.05 SLE: 1.34 Item: Atomic Compatible FILXXCAR0016 16x25x5 M...\u001b[0m\n", + "\u001b[91m103: Guess: $687.00 Truth: $117.00 Error: $570.00 SLE: 3.11 Item: Bandai Awakening of S. H. s.h.figuarts s...\u001b[0m\n", + "\u001b[91m104: Guess: $274.00 Truth: $172.14 Error: $101.86 SLE: 0.21 Item: Fit System 62135G Passenger Side Towing ...\u001b[0m\n", + "\u001b[91m105: Guess: $719.00 Truth: $392.74 Error: $326.26 SLE: 0.36 Item: Black Horse Black Aluminum Exceed Runnin...\u001b[0m\n", + "\u001b[91m106: Guess: $960.00 Truth: $16.99 Error: $943.01 SLE: 15.83 Item: Dearsun Twinkle Star Color Night Light P...\u001b[0m\n", + "\u001b[91m107: Guess: $700.00 Truth: $1.34 Error: $698.66 SLE: 32.52 Item: Pokemon - Gallade Spirit Link (83/108) -...\u001b[0m\n", + "\u001b[91m108: Guess: $664.00 Truth: $349.98 Error: $314.02 SLE: 0.41 Item: Ibanez GA34STCE-NT GIO Series Classical ...\u001b[0m\n", + "\u001b[91m109: Guess: $74.00 Truth: $370.71 Error: $296.71 SLE: 2.56 Item: Set 2 Heavy Duty 12-16.5 12x16.5 12 Ply ...\u001b[0m\n", + "\u001b[91m110: Guess: $624.00 Truth: $65.88 Error: $558.12 SLE: 4.99 Item: Hairpin Table Legs 28\" Heavy Duty Hairpi...\u001b[0m\n", + "\u001b[91m111: Guess: $651.00 Truth: $229.99 Error: $421.01 SLE: 1.08 Item: Marada Racing Seat with Adjustable Slide...\u001b[0m\n", + "\u001b[91m112: Guess: $176.00 Truth: $9.14 Error: $166.86 SLE: 8.18 Item: Remington Industries 24UL1007STRWHI25 24...\u001b[0m\n", + "\u001b[91m113: Guess: $547.00 Truth: $199.00 Error: $348.00 SLE: 1.02 Item: Acer S3-391-6046 13.3-inch Ultrabook, In...\u001b[0m\n", + "\u001b[91m114: Guess: $747.00 Truth: $109.99 Error: $637.01 SLE: 3.64 Item: ICBEAMER 7\" RGB LED Headlights Bulb Halo...\u001b[0m\n", + "\u001b[91m115: Guess: $251.00 Truth: $570.42 Error: $319.42 SLE: 0.67 Item: R1 Concepts Front Rear Brakes and Rotors...\u001b[0m\n", + "\u001b[93m116: Guess: $168.00 Truth: $279.99 Error: $111.99 SLE: 0.26 Item: Camplux 2.64 GPM Tankless , Outdoor Port...\u001b[0m\n", + "\u001b[91m117: Guess: $474.00 Truth: $30.99 Error: $443.01 SLE: 7.28 Item: KNOKLOCK 10 Pack 3.75 Inch(96mm) Kitchen...\u001b[0m\n", + "\u001b[91m118: Guess: $389.00 Truth: $31.99 Error: $357.01 SLE: 6.10 Item: Valley Enterprises Yaesu USB FTDI CT-62 ...\u001b[0m\n", + "\u001b[91m119: Guess: $277.00 Truth: $15.90 Error: $261.10 SLE: 7.84 Item: G9 LED Light Bulbs,8W,75W 100W replaceme...\u001b[0m\n", + "\u001b[91m120: Guess: $948.00 Truth: $45.99 Error: $902.01 SLE: 9.03 Item: ZCHAOZ 4 Lights Antique White Farmhouse ...\u001b[0m\n", + "\u001b[91m121: Guess: $656.00 Truth: $113.52 Error: $542.48 SLE: 3.05 Item: Honeywell TH8320R1003 Honeywell VisionPr...\u001b[0m\n", + "\u001b[93m122: Guess: $705.00 Truth: $516.99 Error: $188.01 SLE: 0.10 Item: Patriot Exhaust H8013-1 1-7/8\" Clippster...\u001b[0m\n", + "\u001b[91m123: Guess: $571.00 Truth: $196.99 Error: $374.01 SLE: 1.13 Item: Fitrite Autopart New Front Left Driver S...\u001b[0m\n", + "\u001b[91m124: Guess: $225.00 Truth: $46.55 Error: $178.45 SLE: 2.43 Item: Technical Precision Replacement for GE G...\u001b[0m\n", + "\u001b[91m125: Guess: $702.00 Truth: $356.99 Error: $345.01 SLE: 0.46 Item: Covercraft Carhartt SeatSaver Front Row ...\u001b[0m\n", + "\u001b[92m126: Guess: $333.00 Truth: $319.95 Error: $13.05 SLE: 0.00 Item: Sennheiser SD Pro 2 (506008) - Double-Si...\u001b[0m\n", + "\u001b[91m127: Guess: $864.00 Truth: $96.06 Error: $767.94 SLE: 4.78 Item: Hitachi MAF0110 Mass Air Flow Sensor\u001b[0m\n", + "\u001b[91m128: Guess: $787.00 Truth: $190.99 Error: $596.01 SLE: 1.99 Item: AmScope SE305R-P-LED-PS36A 10X-30X LED C...\u001b[0m\n", + "\u001b[91m129: Guess: $795.00 Truth: $257.95 Error: $537.05 SLE: 1.26 Item: Front Left Driver Side Window Regulator ...\u001b[0m\n", + "\u001b[92m130: Guess: $58.00 Truth: $62.95 Error: $4.95 SLE: 0.01 Item: Premium Replica Hubcap Set, Fits Nissan ...\u001b[0m\n", + "\u001b[91m131: Guess: $235.00 Truth: $47.66 Error: $187.34 SLE: 2.49 Item: Excellerations Phonics Spelling Game for...\u001b[0m\n", + "\u001b[91m132: Guess: $842.00 Truth: $226.99 Error: $615.01 SLE: 1.71 Item: RC4WD BigDog Dual Axle Scale Car/Truck T...\u001b[0m\n", + "\u001b[91m133: Guess: $33.00 Truth: $359.95 Error: $326.95 SLE: 5.58 Item: Unknown Stage 2 Clutch Kit - Low Altitud...\u001b[0m\n", + "\u001b[91m134: Guess: $825.00 Truth: $78.40 Error: $746.60 SLE: 5.49 Item: 2002-2008 Dodge Ram 1500 Mopar 4X4 Emble...\u001b[0m\n", + "\u001b[91m135: Guess: $324.00 Truth: $172.77 Error: $151.23 SLE: 0.39 Item: Pro Comp Alloys Series 89 Wheel with Pol...\u001b[0m\n", + "\u001b[93m136: Guess: $411.00 Truth: $316.45 Error: $94.55 SLE: 0.07 Item: Detroit Axle - Front Rear Strut & Coil S...\u001b[0m\n", + "\u001b[91m137: Guess: $275.00 Truth: $87.99 Error: $187.01 SLE: 1.28 Item: ECCPP Rear Wheel Axle Replacement fit fo...\u001b[0m\n", + "\u001b[91m138: Guess: $68.00 Truth: $226.63 Error: $158.63 SLE: 1.42 Item: Dell Latitude E6520 Intel i7-2720QM 2.20...\u001b[0m\n", + "\u001b[91m139: Guess: $217.00 Truth: $31.49 Error: $185.51 SLE: 3.62 Item: F FIERCE CYCLE 251pcs Black Universal Mo...\u001b[0m\n", + "\u001b[91m140: Guess: $936.00 Truth: $196.00 Error: $740.00 SLE: 2.43 Item: Flash Furniture 4 Pk. HERCULES Series 88...\u001b[0m\n", + "\u001b[91m141: Guess: $966.00 Truth: $78.40 Error: $887.60 SLE: 6.25 Item: B&M 30287 Throttle Valve/Kickdown Cable,...\u001b[0m\n", + "\u001b[91m142: Guess: $581.00 Truth: $116.25 Error: $464.75 SLE: 2.57 Item: Gates TCK226 PowerGrip Premium Timing Be...\u001b[0m\n", + "\u001b[91m143: Guess: $898.00 Truth: $112.78 Error: $785.22 SLE: 4.27 Item: Monroe Shocks & Struts Quick-Strut 17149...\u001b[0m\n", + "\u001b[91m144: Guess: $736.00 Truth: $27.32 Error: $708.68 SLE: 10.62 Item: Feit Electric BPMR16/GU10/930CA/6 35W EQ...\u001b[0m\n", + "\u001b[91m145: Guess: $323.00 Truth: $145.91 Error: $177.09 SLE: 0.63 Item: Yellow Jacket 2806 Contractor Extension ...\u001b[0m\n", + "\u001b[93m146: Guess: $218.00 Truth: $171.09 Error: $46.91 SLE: 0.06 Item: Garage-Pro Tailgate SET Compatible with ...\u001b[0m\n", + "\u001b[91m147: Guess: $672.00 Truth: $167.95 Error: $504.05 SLE: 1.91 Item: 3M Perfect It Buffing and Polishing Kit ...\u001b[0m\n", + "\u001b[91m148: Guess: $512.00 Truth: $28.49 Error: $483.51 SLE: 8.16 Item: Chinese Style Dollhouse Model DIY Miniat...\u001b[0m\n", + "\u001b[91m149: Guess: $406.00 Truth: $122.23 Error: $283.77 SLE: 1.43 Item: Generic NRG Innovations SRK-161H Steerin...\u001b[0m\n", + "\u001b[91m150: Guess: $906.00 Truth: $32.99 Error: $873.01 SLE: 10.79 Item: Learning Resources Coding Critters Range...\u001b[0m\n", + "\u001b[91m151: Guess: $937.00 Truth: $71.20 Error: $865.80 SLE: 6.58 Item: Bosch Automotive 15463 Oxygen Sensor, OE...\u001b[0m\n", + "\u001b[91m152: Guess: $659.00 Truth: $112.75 Error: $546.25 SLE: 3.09 Item: Case of 24-2 Inch Blue Painters Tape - 6...\u001b[0m\n", + "\u001b[91m153: Guess: $470.00 Truth: $142.43 Error: $327.57 SLE: 1.41 Item: MOCA Engine Water Pump & Fan Clutch fit ...\u001b[0m\n", + "\u001b[91m154: Guess: $147.00 Truth: $398.99 Error: $251.99 SLE: 0.99 Item: SAREMAS Foot Step Bars for Hyundai Palis...\u001b[0m\n", + "\u001b[93m155: Guess: $272.00 Truth: $449.00 Error: $177.00 SLE: 0.25 Item: Gretsch G9210 Square Neck Boxcar Mahogan...\u001b[0m\n", + "\u001b[93m156: Guess: $143.00 Truth: $189.00 Error: $46.00 SLE: 0.08 Item: NikoMaku Mirror Dash Cam Front and Rear ...\u001b[0m\n", + "\u001b[91m157: Guess: $253.00 Truth: $120.91 Error: $132.09 SLE: 0.54 Item: Fenix HP25R v2.0 USB-C Rechargeable Head...\u001b[0m\n", + "\u001b[91m158: Guess: $763.00 Truth: $203.53 Error: $559.47 SLE: 1.74 Item: R&L Racing Heavy Duty Roll-Up Soft Tonne...\u001b[0m\n", + "\u001b[91m159: Guess: $575.00 Truth: $349.99 Error: $225.01 SLE: 0.25 Item: Garmin 010-02258-10 GPSMAP 64sx, Handhel...\u001b[0m\n", + "\u001b[91m160: Guess: $552.00 Truth: $34.35 Error: $517.65 SLE: 7.56 Item: Brown 5-7/8\" X 8-1/2\" X 3/16\" Thick Heav...\u001b[0m\n", + "\u001b[93m161: Guess: $270.00 Truth: $384.99 Error: $114.99 SLE: 0.13 Item: GAOMON PD2200 Pen Display & 20 Pen Nibs ...\u001b[0m\n", + "\u001b[91m162: Guess: $765.00 Truth: $211.00 Error: $554.00 SLE: 1.65 Item: VXMOTOR for 97-03 Ford F150/F250 Lightdu...\u001b[0m\n", + "\u001b[91m163: Guess: $599.00 Truth: $129.00 Error: $470.00 SLE: 2.34 Item: HP EliteBook 2540p Intel Core i7-640LM X...\u001b[0m\n", + "\u001b[91m164: Guess: $439.00 Truth: $111.45 Error: $327.55 SLE: 1.86 Item: Green EPX Mixing Nozzles 100-Pack-fits 3...\u001b[0m\n", + "\u001b[91m165: Guess: $920.00 Truth: $81.12 Error: $838.88 SLE: 5.84 Item: Box Partners 6 1/4 x 3 1/8\" 13 Pt. Manil...\u001b[0m\n", + "\u001b[93m166: Guess: $598.00 Truth: $457.08 Error: $140.92 SLE: 0.07 Item: Vixen Air 1/2\" NPT Air Ride Suspension H...\u001b[0m\n", + "\u001b[91m167: Guess: $409.00 Truth: $49.49 Error: $359.51 SLE: 4.39 Item: Smart Floor Lamp, 2700-6500K+RGBPink Mul...\u001b[0m\n", + "\u001b[91m168: Guess: $371.00 Truth: $80.56 Error: $290.44 SLE: 2.30 Item: SOZG 324mm Wheelbase Body Shell RC Car B...\u001b[0m\n", + "\u001b[92m169: Guess: $225.00 Truth: $278.39 Error: $53.39 SLE: 0.04 Item: Mickey Thompson ET Street S/S Racing Rad...\u001b[0m\n", + "\u001b[91m170: Guess: $142.00 Truth: $364.50 Error: $222.50 SLE: 0.88 Item: Pirelli 275/40R20 106W XL RFT P0 PZ4-LUX...\u001b[0m\n", + "\u001b[93m171: Guess: $522.00 Truth: $378.99 Error: $143.01 SLE: 0.10 Item: Torklift C3212 Rear Tie Down\u001b[0m\n", + "\u001b[91m172: Guess: $506.00 Truth: $165.28 Error: $340.72 SLE: 1.24 Item: Cardone 78-4226 Remanufactured Ford Comp...\u001b[0m\n", + "\u001b[92m173: Guess: $94.00 Truth: $56.74 Error: $37.26 SLE: 0.25 Item: Kidde AccessPoint 001798 Supra TouchPoin...\u001b[0m\n", + "\u001b[91m174: Guess: $774.00 Truth: $307.95 Error: $466.05 SLE: 0.85 Item: 3M Protecta 3100414 Self Retracting Life...\u001b[0m\n", + "\u001b[92m175: Guess: $49.00 Truth: $38.00 Error: $11.00 SLE: 0.06 Item: Plantronics 89435-01 Wired Headset, Blac...\u001b[0m\n", + "\u001b[91m176: Guess: $882.00 Truth: $53.00 Error: $829.00 SLE: 7.81 Item: Logitech K750 Wireless Solar Keyboard fo...\u001b[0m\n", + "\u001b[91m177: Guess: $113.00 Truth: $498.00 Error: $385.00 SLE: 2.18 Item: Olympus PEN E-PL9 Body Only with 3-Inch ...\u001b[0m\n", + "\u001b[91m178: Guess: $157.00 Truth: $53.99 Error: $103.01 SLE: 1.11 Item: Beck/Arnley 051-6066 Hub & Bearing Assem...\u001b[0m\n", + "\u001b[91m179: Guess: $643.00 Truth: $350.00 Error: $293.00 SLE: 0.37 Item: Eibach Pro-Kit Performance Springs E10-6...\u001b[0m\n", + "\u001b[91m180: Guess: $164.00 Truth: $299.95 Error: $135.95 SLE: 0.36 Item: LEGO DC Batman 1989 Batwing 76161 Displa...\u001b[0m\n", + "\u001b[91m181: Guess: $812.00 Truth: $94.93 Error: $717.07 SLE: 4.57 Item: Kingston Brass KS3608PL Restoration 4-In...\u001b[0m\n", + "\u001b[91m182: Guess: $697.00 Truth: $379.00 Error: $318.00 SLE: 0.37 Item: Polk Vanishing Series 265-LS In-Wall 3-W...\u001b[0m\n", + "\u001b[91m183: Guess: $433.00 Truth: $299.95 Error: $133.05 SLE: 0.13 Item: Spec-D Tuning LED Projector Headlights G...\u001b[0m\n", + "\u001b[91m184: Guess: $611.00 Truth: $24.99 Error: $586.01 SLE: 9.98 Item: RICHMOND & FINCH Airpod Pro Case, Green ...\u001b[0m\n", + "\u001b[92m185: Guess: $66.00 Truth: $41.04 Error: $24.96 SLE: 0.22 Item: LFA Industries 43B-5A-33JT 1/16-1/2-1.5-...\u001b[0m\n", + "\u001b[93m186: Guess: $395.00 Truth: $327.90 Error: $67.10 SLE: 0.03 Item: SAUTVS LED Headlight Assembly for Slings...\u001b[0m\n", + "\u001b[91m187: Guess: $391.00 Truth: $10.99 Error: $380.01 SLE: 12.16 Item: 2 Pack Combo Womens Safety Glasses Impac...\u001b[0m\n", + "\u001b[91m188: Guess: $611.00 Truth: $14.99 Error: $596.01 SLE: 13.28 Item: Arepa - Venezuelan cuisine - Venezuela P...\u001b[0m\n", + "\u001b[91m189: Guess: $480.00 Truth: $84.95 Error: $395.05 SLE: 2.97 Item: Schlage Lock Company KS23D2300 Padlock, ...\u001b[0m\n", + "\u001b[91m190: Guess: $542.00 Truth: $111.00 Error: $431.00 SLE: 2.49 Item: Techni Mobili White Sit to Stand Mobile ...\u001b[0m\n", + "\u001b[91m191: Guess: $258.00 Truth: $123.73 Error: $134.27 SLE: 0.53 Item: Special Lite Products Contemporary Wall ...\u001b[0m\n", + "\u001b[91m192: Guess: $995.00 Truth: $557.38 Error: $437.62 SLE: 0.33 Item: Tascam DP-24SD 24-Track Digital Portastu...\u001b[0m\n", + "\u001b[91m193: Guess: $567.00 Truth: $95.55 Error: $471.45 SLE: 3.14 Item: Glow Lighting 636CC10SP Vista Crystal Fl...\u001b[0m\n", + "\u001b[91m194: Guess: $882.00 Truth: $154.00 Error: $728.00 SLE: 3.03 Item: Z3 Wind Deflector, Smoke Tint, Lexan, Wi...\u001b[0m\n", + "\u001b[91m195: Guess: $966.00 Truth: $198.99 Error: $767.01 SLE: 2.48 Item: Olympus E-20 5MP Digital Camera w/ 4x Op...\u001b[0m\n", + "\u001b[91m196: Guess: $12.00 Truth: $430.44 Error: $418.44 SLE: 12.27 Item: PHYNEDI 1:1000 World Trade Center (1973-...\u001b[0m\n", + "\u001b[91m197: Guess: $697.00 Truth: $45.67 Error: $651.33 SLE: 7.32 Item: YANGHUAN Unstable Unicorns Adventure Car...\u001b[0m\n", + "\u001b[91m198: Guess: $739.00 Truth: $249.00 Error: $490.00 SLE: 1.18 Item: Interlogix NX-1820E NetworX Touch Screen...\u001b[0m\n", + "\u001b[93m199: Guess: $118.00 Truth: $42.99 Error: $75.01 SLE: 0.99 Item: Steering Damper,Universal Motorcycle Han...\u001b[0m\n", + "\u001b[91m200: Guess: $699.00 Truth: $181.33 Error: $517.67 SLE: 1.81 Item: Amprobe TIC 410A Hot Stick Attachment\u001b[0m\n", + "\u001b[91m201: Guess: $907.00 Truth: $6.03 Error: $900.97 SLE: 23.63 Item: MyCableMart 3.5mm Plug/Jack, 4 Conductor...\u001b[0m\n", + "\u001b[91m202: Guess: $550.00 Truth: $29.99 Error: $520.01 SLE: 8.28 Item: OtterBox + Pop Symmetry Series Case for ...\u001b[0m\n", + "\u001b[92m203: Guess: $769.00 Truth: $899.00 Error: $130.00 SLE: 0.02 Item: Dell XPS X8700-1572BLK Desktop ( Intel C...\u001b[0m\n", + "\u001b[93m204: Guess: $274.00 Truth: $399.99 Error: $125.99 SLE: 0.14 Item: Franklin Iron Works Sperry Industrial Br...\u001b[0m\n", + "\u001b[91m205: Guess: $788.00 Truth: $4.66 Error: $783.34 SLE: 24.38 Item: Avery Legal Dividers, Standard Collated ...\u001b[0m\n", + "\u001b[91m206: Guess: $657.00 Truth: $261.41 Error: $395.59 SLE: 0.85 Item: Moen 8346 Commercial Posi-Temp Pressure ...\u001b[0m\n", + "\u001b[91m207: Guess: $349.00 Truth: $136.97 Error: $212.03 SLE: 0.87 Item: Carlisle Versa Trail ATR All Terrain Rad...\u001b[0m\n", + "\u001b[92m208: Guess: $115.00 Truth: $79.00 Error: $36.00 SLE: 0.14 Item: SUNWAYFOTO 44mm Tripod Ball Head Arca Co...\u001b[0m\n", + "\u001b[93m209: Guess: $301.00 Truth: $444.99 Error: $143.99 SLE: 0.15 Item: NanoBeam AC NBE-5AC-Gen2-US 4 Units 5GHz...\u001b[0m\n", + "\u001b[92m210: Guess: $446.00 Truth: $411.94 Error: $34.06 SLE: 0.01 Item: WULF 4\" Front 2\" Rear Leveling Lift Kit ...\u001b[0m\n", + "\u001b[92m211: Guess: $162.00 Truth: $148.40 Error: $13.60 SLE: 0.01 Item: Alera ALEVABFMC Valencia Series Mobile B...\u001b[0m\n", + "\u001b[91m212: Guess: $465.00 Truth: $244.99 Error: $220.01 SLE: 0.41 Item: YU-GI-OH! Ignition Assault Booster Box\u001b[0m\n", + "\u001b[91m213: Guess: $4.00 Truth: $86.50 Error: $82.50 SLE: 8.19 Item: 48\" x 36\" Extra-Large Framed Magnetic Bl...\u001b[0m\n", + "\u001b[91m214: Guess: $977.00 Truth: $297.95 Error: $679.05 SLE: 1.40 Item: Dell Latitude D620 Renewed Notebook PC\u001b[0m\n", + "\u001b[91m215: Guess: $740.00 Truth: $399.99 Error: $340.01 SLE: 0.38 Item: acer Aspire 5 Laptop, AMD Ryzen 3 5300U ...\u001b[0m\n", + "\u001b[91m216: Guess: $897.00 Truth: $599.00 Error: $298.00 SLE: 0.16 Item: Elk 31080/6RC-GRN 30 by 6-Inch Viva 6-Li...\u001b[0m\n", + "\u001b[91m217: Guess: $737.00 Truth: $105.99 Error: $631.01 SLE: 3.73 Item: Barbie Top Model Doll\u001b[0m\n", + "\u001b[91m218: Guess: $270.00 Truth: $689.00 Error: $419.00 SLE: 0.87 Item: Danby Designer 20-In. Electric Range wit...\u001b[0m\n", + "\u001b[91m219: Guess: $996.00 Truth: $404.99 Error: $591.01 SLE: 0.81 Item: FixtureDisplays® Metal Truss Podium Doub...\u001b[0m\n", + "\u001b[91m220: Guess: $513.00 Truth: $207.76 Error: $305.24 SLE: 0.81 Item: ACDelco 13597235 GM Original Equipment A...\u001b[0m\n", + "\u001b[91m221: Guess: $781.00 Truth: $171.82 Error: $609.18 SLE: 2.28 Item: EBC S1KF1135 Stage-1 Premium Street Brak...\u001b[0m\n", + "\u001b[93m222: Guess: $183.00 Truth: $293.24 Error: $110.24 SLE: 0.22 Item: FXR Men's Boost FX Jacket (Black/Orange/...\u001b[0m\n", + "\u001b[93m223: Guess: $520.00 Truth: $374.95 Error: $145.05 SLE: 0.11 Item: SuperATV Scratch Resistant 3-in-1 Flip W...\u001b[0m\n", + "\u001b[91m224: Guess: $935.00 Truth: $111.99 Error: $823.01 SLE: 4.47 Item: SBU 3 Layer All Weather Mini Van Car Cov...\u001b[0m\n", + "\u001b[93m225: Guess: $109.00 Truth: $42.99 Error: $66.01 SLE: 0.84 Item: 2 Pack Outdoor Brochure Holder Advertisi...\u001b[0m\n", + "\u001b[91m226: Guess: $892.00 Truth: $116.71 Error: $775.29 SLE: 4.11 Item: Monroe Shocks & Struts Quick-Strut 17158...\u001b[0m\n", + "\u001b[91m227: Guess: $641.00 Truth: $118.61 Error: $522.39 SLE: 2.82 Item: Elements of Design Magellan EB235AL Thre...\u001b[0m\n", + "\u001b[91m228: Guess: $306.00 Truth: $147.12 Error: $158.88 SLE: 0.53 Item: GM Genuine Parts 15-62961 Air Conditioni...\u001b[0m\n", + "\u001b[91m229: Guess: $862.00 Truth: $119.99 Error: $742.01 SLE: 3.86 Item: Baseus 17-in-1 USB C Docking Station to ...\u001b[0m\n", + "\u001b[91m230: Guess: $655.00 Truth: $369.98 Error: $285.02 SLE: 0.32 Item: Whitehall™ Personalized Whitehall Capito...\u001b[0m\n", + "\u001b[91m231: Guess: $520.00 Truth: $315.55 Error: $204.45 SLE: 0.25 Item: Pro Circuit Works Pipe PY05250 for 02-19...\u001b[0m\n", + "\u001b[91m232: Guess: $624.00 Truth: $190.99 Error: $433.01 SLE: 1.39 Item: HYANKA 15 \"1200W Professional DJ Speaker...\u001b[0m\n", + "\u001b[93m233: Guess: $204.00 Truth: $155.00 Error: $49.00 SLE: 0.07 Item: Bluetooth X6BT Card Reader Writer Encode...\u001b[0m\n", + "\u001b[91m234: Guess: $157.00 Truth: $349.99 Error: $192.99 SLE: 0.64 Item: AIRAID Cold Air Intake System by K&N: In...\u001b[0m\n", + "\u001b[91m235: Guess: $383.00 Truth: $249.99 Error: $133.01 SLE: 0.18 Item: Bostingner Shower Faucets Sets Complete,...\u001b[0m\n", + "\u001b[91m236: Guess: $781.00 Truth: $42.99 Error: $738.01 SLE: 8.28 Item: PIT66 Front Bumper Turn Signal Lights, C...\u001b[0m\n", + "\u001b[91m237: Guess: $166.00 Truth: $17.99 Error: $148.01 SLE: 4.73 Item: Caseology Bumpy Compatible with Google P...\u001b[0m\n", + "\u001b[93m238: Guess: $553.00 Truth: $425.00 Error: $128.00 SLE: 0.07 Item: Fleck 2510 Timer Mechanical Filter Contr...\u001b[0m\n", + "\u001b[91m239: Guess: $977.00 Truth: $249.99 Error: $727.01 SLE: 1.85 Item: Haloview MC7108 Wireless RV Backup Camer...\u001b[0m\n", + "\u001b[91m240: Guess: $798.00 Truth: $138.23 Error: $659.77 SLE: 3.05 Item: Schmidt Spiele - Manhattan\u001b[0m\n", + "\u001b[91m241: Guess: $945.00 Truth: $414.99 Error: $530.01 SLE: 0.67 Item: Corsa 14333 Tip Kit (Ford Mustang GT)\u001b[0m\n", + "\u001b[91m242: Guess: $544.00 Truth: $168.28 Error: $375.72 SLE: 1.37 Item: Hoshizaki FM116A Fan Motor Kit 1\u001b[0m\n", + "\u001b[91m243: Guess: $941.00 Truth: $199.99 Error: $741.01 SLE: 2.39 Item: BAINUO Antler Chandelier Lighting,6 Ligh...\u001b[0m\n", + "\u001b[91m244: Guess: $1.00 Truth: $126.70 Error: $125.70 SLE: 17.28 Item: DNA MOTORING HL-OH-FEXP06-SM-AM Smoke Le...\u001b[0m\n", + "\u001b[91m245: Guess: $614.00 Truth: $5.91 Error: $608.09 SLE: 20.15 Item: Wera Stainless 3840/1 TS 2.5mm Hex Inser...\u001b[0m\n", + "\u001b[91m246: Guess: $332.00 Truth: $193.06 Error: $138.94 SLE: 0.29 Item: Celestron - PowerSeeker 127EQ Telescope ...\u001b[0m\n", + "\u001b[91m247: Guess: $501.00 Truth: $249.99 Error: $251.01 SLE: 0.48 Item: NHOPEEW 10.1inch Android Car Radio Carpl...\u001b[0m\n", + "\u001b[93m248: Guess: $20.00 Truth: $64.12 Error: $44.12 SLE: 1.28 Item: Other Harmonica (Suzuki-2Timer24- A)\u001b[0m\n", + "\u001b[92m249: Guess: $115.00 Truth: $114.99 Error: $0.01 SLE: 0.00 Item: Harley Air Filter Venturi Intake Air Cle...\u001b[0m\n", + "\u001b[92m250: Guess: $952.00 Truth: $926.00 Error: $26.00 SLE: 0.00 Item: Elite Screens Edge Free Ambient Light Re...\u001b[0m\n" + ] + }, + { + "data": { + "image/png": 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PDwMwbDab0axZM+OOO+446X2cSMFjPNFlz549hecW/J041eVkU8jPdHr84cOHDT8/P6N3796lOv+aa64xvLy8jD///POU5xY8X2V5bBw3vfxE0+P//PNPAzA+++yzk8bQrVu3Uj3HJ/s9PNn0eGenMz3e19fXCAoKMsLCwoyXX37ZWLJkifHAAw8Ynp6exrBhwwrPs9vtRV4vTZo0MbZu3WokJycb0dHRxuzZs0t9nyJiDVXaRcQSV111VbGxo0ePMnXqVD799FN27txJXl5e4dc2bdpU7PwBAwYUuV5Q7du1axexsbGF06evueaaIucNGjSIkSNHFhlbsmQJPXv2LNY0atSoUXzzzTesWLGCPn36FI7379+/yHnNmjUDzOrO8eOfffYZR48epUaNGsUew8kcH/ewYcN44IEHWLp0KRdccEHh+IUXXkhYWFjh9czMTH744QduvvlmAgICilSp+vbty8svv8zKlSu55JJLWLp0KS1atKB169bF7st5inBJvvnmG8BsEnY6lixZQvPmzTn//POLjI8aNYrXXnuNJUuWFKmIDhgwoFgjsJPp3Lkzzz33XLHxkirBJb0ewXxNHV+VLetrpaTbrlWrFn/88UepHodzw7hx48axaNEiLrjgAmrVqkVgYCAvvPACl156KQ0aNCjx+5cvX052djbbtm3jueeeo0ePHvzwww+0aNECMH9f7rvvPp5//nliYmJOGc/JpvOWZarvoUOH+Oyzz+jTp0+xn0lKSgo33ngj99xzDy1btiz1bR7vnnvu4Z577im8HhQUxNKlS0/alGzgwIHcdtttzJ07l/j4eBISEk7YRNFms/H6669z3333sXDhQv78809++uknnnvuOd544w0WLlx4yuZ8JZk+fXqJ1Wjnn8/kyZNLNSMmKCiozPdfWnPnziUzM5Prr7/+lOc+9NBDzJ07l5deeok2bdqU+j4WL15MSEhIsfEhQ4aUKVZnZ511FmFhYdxzzz3s37+frl270rx582LnvfHGGyUuFTre8bPAKovdbictLY0PPvig8Pno0aMH6enpPP/880yZMoWzzjqrcFnAU089RUpKCg0aNMDDw4MxY8bQunVrhg8fzrp16xg3bhx///03DRs25LnnnitxVo2IWENJu4hYombNmsXGhg0bxg8//MBDDz1Eu3btCrdY6tu3L8eOHSt2fkRERJHrBdOuC85NTk4GIDY2tsh5Xl5exb43OTm5xJhq1apV5LYKhIeHF7leMA3xROOZmZllStpLirHgcRwfy/FxJycnk5uby0svvcRLL71U4u0XbKOUnJxM/fr1i339+OesJAcOHMDT07NU55YkOTm5xOTpRM95ST+fkwkJCSlcw3wqJ7rtksbL+lop6VwfHx/OOeecUsXmPLU5MDCQJUuWsGrVKmbNmsX8+fN5+umnmTBhAtOmTePuu+8u9v0F04I7dOjAgAEDOOuss7j//vv5/PPPAfNDl5YtW3LVVVcVbgNV0Dvh6NGjpKSkFCZNERERxR4fmAk4FH/9n8ycOXPIysoqMeF74IEH8Pb2Zty4cYUxFfSGyMjI4MiRI4SEhJzyQ4Lbb7+d4cOHk5WVxcqVK3nwwQe57LLLWLt2bbHfrwKBgYEMHjyYd999l7i4OC666CLi4uJOej9xcXHcfPPNhdc/+ugjhg4dyt13333CHhon06BBg1O+duvVq1ekU/qJnMma6VN55513iIqKOunyDIApU6bw6KOP8thjj5V66U2B1q1bl5gUn85uAgVCQkJYtmwZjz32GPfffz+HDx+mZs2a/O9//+PBBx8s/HDwrLPOKvX0eCtERESQkJBQuJSjwCWXXMLzzz/P6tWrOeusswrHo6KiCvtaLFu2jHnz5vH333+Tk5PD5ZdfzvDhw/n222+ZPXs2l112Gf/++2+ZfqdFpOK4XocUEakWjn8jmZKSwldffcXEiRO599576dmzJ+3ataNVq1aFCUFZFbwpT0hIKDKem5tbLPGIiIhg//79xW6joLFdZVdSSoqx4HEcn2wc/1yGhYXh6enJqFGj+OOPP0q89O3bt/C2jn9+nO/rZKKiosjLyyvVuSUp63NekcnHiW67pPHyiHvnzp14e3uX6rJs2bJi39+mTRuuuOIKevbsyc6dOxkyZEhh1fBkgoKCaNq0KVu3bi0cW79+PStXriQsLKzwUjB7okePHkUS1latWrFu3bpit1swVpaq+DvvvENMTEyxWSsFMe3cuZPY2NjCmC699FIARo4cSVhYGCkpKae8jzp16tC2bVsuuOAC7rrrLt5++23++++/wp4OJzJ69Gj++usvvvzyyxIb0J3KoEGDOPvss1m/fn2Zv7e0Ro8eXarXT0lr8cvDmjVrWLNmDSNGjDjpDJgpU6YwefJkJk+ezP33318hsZyOVq1aMW/ePJKTk/nrr78YPHgwjzzyCM8880zhOT179izVc3w6r5HyUDC77HgFHzSc6MOErKwsbrzxRh566CEaNmzIli1b2L59OxMmTMDf358bbrgBm81W4vZ+ImINVdpFxCXYbDYMwyislhd4++23i0yTL4vu3bsD5hRO5+mYH330UbHGRj179mTBggXs27evsGIKMGvWLAICAujQocNpxXAm5s6dy2233VZ4/f333wccj+tEAgIC6NGjB2vWrOHss88urPaXpEePHjz55JOsXbu2yBT5gvs6mUsuuYTHH3+c1157jUceeeSE5/n6+pY4U6Jnz548/vjjrF69urAaDOZzbrPZXLaTcXm8Vk53erxhGMU+BPD09KRr167MmTOHAwcOnHRGwsGDB1m3bl2R5RXz5s0r0kka4Ntvv2X69Om8/vrrhdPoAa644grGjh3Lb7/9Rvv27QHzA6Y5c+bQvn37Is/Hyfz555/8/fffTJw4scRO9s8//3xhhb3AX3/9xR133MHkyZPp1q1bmZebgLnk5O233+att97i7rvvPmEFvWPHjowePZqUlJST7h+/f//+Ep/vo0ePsmfPnlI/H6fD6unx77zzDgBjxow54TlTp05l8uTJPPjgg6f8oKQiHD/7qiQ2m43WrVvz3HPPMWPGDFavXl34NVefHn/VVVfx3Xff8c033zBs2LDC8YULF+Lh4UG7du1K/L5p06bh4+PDhAkTAEeSn56eTlBQEDk5OWRlZZVqloGIVA4l7SLiEoKDg+natStPPfUUkZGRxMfHs2zZMt555x1CQ0NP6zabNWvG8OHDef755/H29uaiiy5i/fr1hd3HnU2aNImvvvqKHj168PDDDxMeHs7cuXP5+uuvefLJJ0tcU1mRfHx8eOaZZzh69Cjt2rUr7B5/ySWX0Llz51N+/wsvvEDnzp3p0qULN998M/Hx8aSlpfHvv//y5ZdfFnbYHz9+PO+++y79+vXj0UcfLewev3nz5lPeR5cuXbj22mt59NFHSUxMpH///vj6+rJmzRoCAgIKtyEqqGh9+OGHNGjQAD8/P1q1asUdd9zBrFmz6NevH4888ghxcXF8/fXXvPrqq9x8880n7PBdWkeOHGHlypXFxn19fTn33HNP+3bL47Xi4+NT6qn7zm6//Xa8vLzo378/+/fvJzU1lY8++oipU6dy1llnFfZWSElJoVevXgwbNoxGjRrh7+/P1q1beeGFF8jKyiqSQJX0IUNB9/82bdoUiXP06NG88sorDBw4kCeeeILo6GheffVVtmzZwuLFi4vcRs+ePVm2bFmJnb9PlfCdbOlAixYtTvnB1clMnz6d9u3bM3XqVN5+++0TnlcQ48k89thj/PrrrwwePLhw28MdO3bw8ssvk5yczFNPPVXse7788ssSE+mrr7668Piff/4p8bVbp06dwinx8fHxJ12bfyK7du0q/MBo27ZtAHzyySeFt1nw8961axcNGzZk5MiRxZ6LzMxM3n//fTp16lT4mjveM888w8MPP0yfPn3o169fscdTGR+EFsz8ePPNNwkKCsLPz4/69euzYsUKXn31VS6//HIaNGiAYRjMnz+fI0eO0KtXr8Lvd/7ArCw2btzIxo0bAXPWUkZGRuFz3Lx58yLr57/55hvS09MLPxzYuHFj4bl9+/YlICAAMH9XZs6cybZt2wo/bLruuut44403GDt2LAcPHqR58+YsXryYV155hbFjx5b4odTmzZt58sknWbp0aeEHZk2aNClc4nHLLbfw4Ycf4uXlZcmH1SJyAhY2wRORauhkHZT37t1rXHXVVUZYWJgRFBRk9OnTx1i/fr0RFxdXpDvviTpbF3Redu4UnJWVZdx1111GdHS04efnZ3To0MFYsWJFsds0DMNYt26dcemllxohISGGj4+P0bp1a+O9994r8T6O72B9ophK0zH6eCNHjjQCAwONv//+2+jevbvh7+9vhIeHGzfffLNx9OjRIucCxi233FLi7ezYscMYPXq0Ubt2bcPb29uIiooyOnXqZDz66KNFztu4caPRq1cvw8/PzwgPDzfGjBljfP7556fsHm8YhpGXl2c899xzRsuWLQ0fHx8jJCTE6Nixo/Hll18WnrNz507j4osvNoKCggygyG3s2rXLGDZsmBEREWF4e3sbTZo0MZ566ikjLy+vyOMAjKeeeqrUz+HJusfXrl278LyT/Xzi4uKMfv36lXj7Z/JaORM//vijMWTIECM+Pt7w9fU1PDw8jJo1axpDhgwxtm3bVnheZmamcf311xvNmjUzatSoYXh5eRl16tQxhg8fbmzYsOGU93Oi17NhGEZCQoIxYsQIIzw8vPB36vvvvy92XkHn7eNlZGQYISEhJXbVP5nT6R5/otfMwIEDDS8vL+Pff/81DKP0v6fHd49fuXKlccsttxitW7c2wsPDDU9PTyMqKsro06ePsXDhwiLfe6pu6M6P8USXU+3UUBoFP9uSLs6PreA5LKkzesEOHO++++4J7+dUnddP5VQ/k5J2paCE7uvPP/+8Ub9+fcPT09MAjPfee8/YvHmzMXToUKNhw4aGv7+/ERISYpx//vnGjBkzThlXaZzsZ318fCf7W+W8A0FB9/fjdyVITk42brzxRiMmJsbw9vY2GjduXOxvaAG73W506dKlxH8zVq1aZXTo0MEIDAw0WrVqZSxevLg8ngoRKSc2w9DcFxERVzJq1Cg++eSTwsZbIiX58ccfmTFjxgn3VBcRERH3oEZ0IiIiIiIiIi5Ka9pFRCqJ3W7Hbref9JySmnKJlCQ+Pp7LL7/c6jBERESkgml6vIhIJRk1ahQzZ8486Tn6kywiIiIizpS0i4hUkp07d3Lw4MGTnnM6HcVFRERExH0paRcRERERERFxUWpEJyIiIiIiIuKi1PEIsznUvn37CAoKwmazWR2OiIiIiIiIuDnDMEhLS6NWrVp4eJy4nq6kHdi3bx9169a1OgwRERERERGpZvbs2UOdOnVO+HUl7UBQUBBgPlnBwcGVH8D27dCjBxw5As2bw5Il4O9f+XGIiLibJ54wLwXtWzZtglq1rI1JXN+998Ibb0DBFo2//gotW1obk4iIVFmGAX+mwqcH4ZjT7r/NSOWetnUL89ETUSM6IDU1lZCQEFJSUqxJ2sFM2LdtM98U+PpaE4OIiLs5ehRuuAHWroUJE+C666yOSKqCzz6DK64wj2Nj4d9/ITDQ0pBERKRqOpIDsxNhfbpjLNgLhkVDQ6N0eaiSdlwkaRcRERHXsWQJrF8PV10FtWtbHY2IiFQxhgErUuGjpKLV9fbBMDgaAj1Ln4dqeryIiIjI8S680LyIiIiU0eH86vqG46rrw2OgdY2y356SdhEREREREZEzZBjwSwp8cgAynarrHYJhUH51/XQoaRcRERERERE5A8k5MDsBNmU4xkLzq+utTqO67kxJu4iIiIiIiMhpMAz4Ob+6nuVUXb8gBK6OgoDTrK47U9IuIiIiIiJuwADeBH4ArgYGWRuOuL2D2TArEbY4VdfDvODaWGhRjpuOKGkXERERERE38A1wE2ADPgYaA+dYGZC4KcOAZUdg/sGi1fUuIXBVFPiXQ3XdmZJ2EXFthgGbNkFISNXZdikzEzZuhMaNocYZLmISERGRUtqd//+CHa33oKRdytuB/Or6Vqfqerg3jIiBZuVYXXfmUTE3KyJSTm69FVq0gLg4WLDA6mhOLTUVWreGNm2gUSP47z+rIxIREakmBgPN84+7AL0sjEXcjWHAD4dhys6iCXvXUJgUV3EJOyhpFxFXlpsLr75qHuflwSuvWBtPaSxdClu3mscJCfDZZ5aGIyIiUn2EAeuAA8AywM/acMRtJGXD03vgoyTIyZ/IEeENd9SBa2LAr5ynwx9P0+NFxHV5eUHTpmYSbLfDuedaHdGpNW1qxm0Y5gcNrVpZHZGIiEg14gFEWh2EuAm7AUsOw2cHHck6QI9QuCIKfCupBK6kXURc2+LFZoU9MhJuucXqaE6tSRP44Qf44gvo3h26drU6IhEREREpo4QsmJkI2485xiK9YWQsNA6o3FhshmEYpz7NvaWmphISEkJKSgrBwcFWhyMiIiIiIiIWsBuw+DB8fhBy8zNlG3BhGFwWWb7V9dLmoaq0i4iIiIiISLW3PwtmJMDOTMdYtA+MjIGzKrm67kxJu5xaTg58/DH4+MAVV4BnBXdakPL322+wdi1ceinUrGl1NCIiIiIiLsNuwKJD8FVy0ep6z/zquo/F7duVtMupjRoF779vHt9+Ozz/vJXRSFl99x306WM2Rps0yWzqFhRkdVQiIiIiIpbbl19d3+VUXY/xMdeuN/S3Li5n2vJNTu3bbx3HCxdaF4ecnh9+AJvNPE5IgM2brY1HRERERMRieQYsTIZHdzkSdhvQOxweinOdhB2UtEtpXH2143jQIOvikNPTv78jaa9fH1q0sDYeEREREREL7c2Ex3eZzeby8qfD1/SBe+rBlVHg7WJZsqbHn6klS+DFF6FxY5g6FXx9rY6o/L36Klx2mbmmvWdPq6ORsurSBf7+G9avh169IMDCLhoiIiIiIhbJtcO3h+DrQ+Y6dgAPG/QOg34RrpesF1DSfiZSUqBfP8jKMiuZwcHw4INWR1X+PD2hb1+ro5Az0by5eRERERERqYb2ZJpr1/dmOcZq+cKoWIjzsy6u0lDSfiZSUyEzfwGEhwfs329tPCIiIiIiIlIo125W1r89rrreJxz6hYOXi1bXnVWBEF1Y3bowfrx5HBvrOBYRERERERFL7cqEx3abDecKEvY6vnBfPXMrt6qQsAPYDMMwrA7CaqmpqYSEhJCSkkJwcHDZb+DYMXMtu0cV+amLiIiIiIi4qVy7uef6osNFq+v9ws0Ku6sk66XNQzU9vjz4u9B+ACIiIiIiIi5o6Y6lTFk2hTrBdXjxkhcJ9w8v9/vYecxcu74/2zFWN3/teh0XX7t+IkraRUREREREpEJl52UzYN4A0rPT8bB5EOQTxGv9Xyu328+xw5fJ8N0hKJhK7mmD/hHm3uuetnK7q0qnpL0qycyEZcsgLg6aNrU6GhERERERkVLJteeSkZOBkf/fkawj5Xbb2/Or64lO1fU4PxgZC7XdYEduF5nNL6dkt5t7pPfpAy1awNdfWx2RiIiIiIhIqQR4B/B87+fx8/KjXkg9Hur60BnfZrYdPk6CJ3c7EnYvG1weCffWc4+EHdSIDiiHRnSVYe9es1s9mA3vhg+HmTOtjam6SUqCDz+Ehg21b72Iu9m+Hb74Atq1gwsusDoaEREROYV/M2BmIiQ5Vdfj86vrtapIsq5GdO4mJgbq14edO82qe9euVkdUveTkQPv25vMP8N57MGqUlRGJSHk5cADOOw9SUsBmgx9+gB49rI5KRERESpBlh88PwpLDjrXrXjYYEAm9wswu8e5GSXtV4e0NK1bAvHlmpbd/f6sjql7273ck7B4eZm8BJe0i7mHDBjNhL/Dzz0raRUREXNDWDJiVAAdyHGMN/GFkDMRWker66dCa9qokJgZuv10JuxXq1DEr7QWuvtq6WE7Hnj3QsiX4+cEjj1gdjYhradMG4uPNYx8fGDDA0nBERESkqCw7zEuEZ/Y4EnZvGwyMgrvrunfCDlrTDlSRNe1ivcxMWLrUfHPfrJnV0ZTN+PHw8suQl2de37sXate2NCQRl5KSYlbYW7Z0JPAiIiJiuc3pMDsRDjpV1xv6m2vXY3ysi6s8aE27lI1hmFPv//kHRo40t5WTovz84JJLrI7i9AQHmz9jAC8v87GIiENIiGYxiYiIuJDMPJh/EJYdcYx52+CKKOgR6p5r109ESbuY3ngDbr7ZXK/92mvm+m1fF5lnsn27Gc8FF7hOTK7OMODOO+GDD+Dii+GFF2DfPti0Ce6+GyIirI5QRERERKREm/Kr68lO1fVG/jAiFqKreHX9dChpF9Pvv4Onpzl9OiHBvLhCtf2HH8y96XNzzaT9p5/MDxbk5JYsgeefN49nz4ZeveDtty0NSURERETkZDLz4JMD8LNTf1gfD7gyErqHmpu8VEfKfsR07bWOZPjCC6FePWvjKTBvnmNa96+/Ojq4y8kd/8GGPugQERERERe2IR0m7yyasDcJgElx0COs+ibsoEq7FOjRA7ZtMxuUtWvnOr8VnTqZFWKbDWrWVPO00ureHe6915we37s3DB5sdUQiIiIiIsVk5FfXf3VK1n094Ooo6BLiOmmJldQ9HnWPd2mGAZ9/Dlu3wrBh5tZrIiIiIiJS5a07CnMS4UiuY6xZAFwbCxHe1sVVWdQ9XtyDzQaXX251FCIiIiIiUk4y8uCjJFiR6hjzy6+ud1Z1vRgl7SIiIiIiIlIp1h6FuYmQ4lRdbxEIw2MgvBpU10+HknYRERERERGpUOl58GES/HZcdX1QNHQKVnX9ZJS0i4iIiIiISIVZkwbvJ0GqU3W9ZX51PUzV9VNS0i5ll5sLXnrpiIiIiIjIiR3NhXlJ8EeaYyzAEwZHQXtV10tNmzdL6R07Br16gbc3XHwxZGZaHZGIiIiIiLig1WnmvuvOCfvZNcx91zuo2VyZqFwqpff557B4sXn8/ffwxRcwaJC1MYmIiIiIiMtIy4UPkmDVcdX1IdFwfpCS9dOhpF1KLzLy5NdFRERERKRaMgwzUf8gCY7mOcbPqQHXxECwMs/TpqdOSq9nT3juOfjySxgwAC680OqI5Ezt2gVr10LnzhAebnU0IiIiIlIFpebC+4mw5qhjLNAThkZDW1XXz5jNMAzD6iCslpqaSkhICCkpKQQHB1sdjkjlWLcOzj/f7E1QuzasXw+hoVZHJSIiIiJVhGHA72nmVm7pTtX184LMhF3V9ZMrbR6qp1Gkuvr6a8jKMo//+w9+/91sMCgiIiIicgopuTA3EdY6VdeDPGFoDLQJsi4ud6SkXaS66tLFnKtkGBAcDK1bWx2RiIiIiLg4w4DfUuHDA5DhVF1vG2Q2mwtShlnu9JSejGFoAYY70s/VdMEFsHw5rFwJ/ftDTIzVEYmIiIiICzuSA3MSYV26YyzI02w0d66q6xVG+7SXJDsbrrgCvLygTx9zf/KKkJQEs2bB339XzO1LUVlZcOml5s+1Xz/tMw/Qvj3cfjs0bGh1JCIiIiLiogwDlqeY+647J+znB8OU+krYK5qS9pIsXAiffQZ2OyxaBJ9+Wv73kZoK554LI0ea///55/K/Dynqyy/hq6/Mn2vBz1hERERERE7ocA689B/MTIBjdnMs2AvG1oYxNc0u8VKxND2+JMd30A4LK//7WL8e9u1zXF+0yFxjLBWnMn6uIiIiIiJuwDDglxT45ABk2h3jHYJhULSS9cqkpL0k3bvDM8/A/PnQt695KW8tW0LNmrB/v3m9d+/yvw8pqmdPePJJ+Pxzc5q8OqWLiIiIiBSTnAOzE2BThmMs1AuGx0CrGtbFVV1pn3Ys3Kc9KQm+/dbs2q3O3SIiIiIiYiHDgJ/zq+tZTtX1TiEwMAoCVF0vV9qnvSqIjoYRI6yOwvXl5MAHH5jHQ4eCt7e18YiIiIiIuJmD2TA7ETY7VdfDvODaWGgRaF1coqRdqoL//Q9mzjSPlyyBGTMsDUdERMQyO3bADTdASgo8+yx07mx1RCJSxRkGLDsC8w8Wra53DoGro8Bf1XXLKWkX17d4ccnHIiIi1c24cbB0qbkTysCBjt44IiKn4UA2zEqErU7V9XBvuDYGmqu67jK05Zu4vmuucRwPH25dHCIiIlY7dswsixkGZGVZHY2IVFGGAT8chkd2FU3Yu4bCpDgl7K5GlXZxfU88AZdcYh536waffgqvvw5t2sDUqVrjLiJS3dnt5jaqsbHg5eZvbZ59FgYNgtRU899CEZEySso291z/95hjLMIbRsRAUyXrLknd47Gwe7yU3e7dUL+++QbNZoMXXzSnCoqISPWUnm5+oLtqFTRpAsuXQ3i41VGJiLgcuwFLDsNnByHHKQPsHgpXRoGv5mBXutLmofrRSNVy5IiZsIOZtB84YGk4FSYnB376CbZvtzoSERHX9t13ZsIOsGWLORtLRESKSMyGp/bAxwccCXukN9xVF4bGKGF3dfrxSNXSqpXZNRfMisrNN1sbT0UwDHM5QLdu0LgxfPut1RGJiLiu+HjzQ1yP/Lc0DRpYGo6IiCuxG/DdIXhkJ2zPnw5vAy4Mg4fjoXGAhcFJqWl6PJoeXyXl5rrvusV9+6B2bfPYw8NsxDdrlrUxiYi4svnz4bPP4KKLYMQIq6MREXEJ+7NgRgLszHSMRfuYa9cbKVl3CaXNQ9006xG3564JO0BUFNSrB3v2mEsBOna0OiIR2bfP7NRdv77VkUhJrrzSvIiICHYDFh2Cr5IhN788awN6hsFlkeCjudZVjn5k7sAw4N13YcIE2LDB6miqlwUL4M47zcZH5cXb27y9adPgww/hppvK77ZFpOzmzIG6dc1p1488YnU0IiIiJ7QvC57YbTabK0jYY3zg7nowMFoJe1Wl6fG4wfT4t94y13l7ekKNGmaH9ar4OKqaRYugTx/zeffwMBsgqQon4n7OOw/WrDGPa9SAtDRr4xERETlOnlN1Pc+put4rHAZEgLeSdZek6fHVybp1ZuKYlwcpKeY0TiXtFW/dOrP5UV6eefnnHyXtIu6odWtYu9b8fW/RwupoREREitibaa5d35PlGKvpAyNjob6/dXFJ+VHS7g5GjYJ33oGMDLMJT+PGVkdUPQwcCNOnw8GDZlf7zp2tjkhEKsLLL0PDhuZ+4HfcYXU0IiIiAOTa4dtD8PUhcx07mNX13uHQX9V1t6Lp8VgwPf6DD2DSJLMqO2sWxMSc+W0eOgR795pVIE/PM789KZ20NNi2DZo3Bx8fq6MRERERkWpgT351fa9Tdb2WL4yMgXhV16uM0uahStqp5KQ9LQ3Cw80tyzw9zbXor75asfcpIiIiIiJVXq4dFh6Cb5yq6x426BMO/cLBS9X1KkVr2l2VYZiXAnl51sUiIiIiIiJVwq786vo+p+p6HV9z7Xo9P+vikoqnpL2yBQeb3d4fegji4+Hhh62OSEREREREXFSu3ewKv+hw0ep633C4RNX1akHT43GDLd9ERERERMTt7DxmVtf3ZzvG6uZX1+uqul7llTYP1ecyIiLimn74wZyRdNZZsHKl1dGIiIhUmhw7zD8AT+x2JOyeNhgQCffFKWGvbjQ9XkREXNP118Pu3eb+6GPHwurVVkckIiJS4bYfg5kJkOBUXa/nB6NiobavdXGJdZS0S+VYuRKWL4d+/aBJE6ujEZGqwNfXTNhBWyqKiIjby7HD5wdh8WEoWL/sZTP3XL843Ky0S/WkpF0q3ooV0Lkz2O1m470tW6B27fK57dxcWLsW6tQpn/3uRcR1zJljVti9vMwGniIiIm5qW351PdGpuh7vZ65dr6XqerWnpF0q3q+/mgk7QHq6mWSXR9Jut0Pv3rBkCfj5wY8/Qvv2Z367IuIa2raF33+3OgoREZEKk22Hzw7CkuOq6wMioVeY2SVeRI3opOL16wcBAeZx7drQsWP53O6//5oJO0BODsycWT63KyIiIiJSwf7JgEd2wg9OCXsDf3goDnqHK2EXB1XapeI1a2ZOif/rL7jgAggLK5/brV0bwsMhJQXy8uC888rndkVEREREKkiWHRYcgKVHHGPeNrgsEnqqui4lUNIulaNOHfNSngIDzfXyM2dC06YwfHj53r6IiIiISDnakgGzEuBgjmOsob+5dj1GPVflBGyGYRinPs29FW5qHx1N8Nlnw7x5EBFhdVgiIiIiIuIGMvNg/kFYdsQx5m2DK6KgR6iq69VVYR6akkJwcPAJz9OadmdJSbB0KTzzjNWRiIiIiIiIG9iUDo/sKpqwN/KHh+M1HV5KR9PjS+KhzzJEREREROT0ZebBJwfg5xTHmI8HXBkJ3UPBpmRdSklJu7P4eDj7bJgwwepIREQqnt0O998PX38NgwbBgw/qHYSIiEg52JAOsxPgcK5jrHEAjIyBSK1dlzJS0u5s7Vo4yVoCERG38tlnMH26ebx+PXTuDD16WBqSiIhIVXYsDz4+AL86Vdd9PeCqKOgaos/G5fQoaRcRqa4yMk5+XUREREpt/VGYnQhHnKrrTQNgRCxEeFsXl1R9StpFRKqrgQPNavuiRXDlldCnj9URiYiIVDkZefBREqxIdYz5ecDVUdBZ1XUpB0raRUSqK19f+OQTq6MQERGpsv4+CnMSIcWput48EK6NgXBV16WcqE26iJSP7GwYNQrq1YMHHgDDsDoiERERkQqRngfv7odX/nMk7H4e5lT422orYZfypUq7iJSPuXNh5kzzeNo0c6p1ly7WxiQiIiJSzv5Kg7lJkOpUXW8ZCMNjIEzJulQAJe0iUj6Or6yr0i4iIiJu5GguzEuCP9IcYwGeMCgKOgRr7bpUHCXtIlI+hg+HpUthyRIYMUJVdhEREXEbq9Pg/URIy3OMnV0DromGUFXXpYIpaReR8uHjA7NnWx2FiIiISLlJy4UPkmDVcdX1IdFwfpCq61I5lLSLiIiIiIg4MQwzUf8gCY46VdfPqQHXxECwsiipRHq5iYiIiIiI5EvNNafCrznqGAv0hKHR0FbVdbGAknYREREREan2DMNsMjcvydzSrcB5QWbCruq6WEX7tIuIVIS8PBg3Dho2hAcfVDd9ERERF5aSC6/tg3f2OxL2Gp5wQy24sZYSdrGWXn5nyjDce46MYcA778Dvv8M110C3blZHJFI1fPwxvPKKefzYY3DhheZFREREXIZhwG+p8OEByHCqrrcNMpvNBSlbEhegSvuZePZZ8POD+vVh0yaro6kYH38M//ufmbj37Ak7d1odkUjVkJNT9HpurjVxiIiISImO5MAr/8F7CY6EPcjTrKz/r5YSdnEdStpP19GjcPfdkJ0Ne/aYlTR3tHWr+X+73Zzue//91sYjUlUMHgzDhkFEBNxyC1x0kdURiYiICGZ1fXkKTN4J69Id4+cHw+R4cw27iCvR50eny9sb/P0hI8O8HhZmbTwV5dpr4eGHHetx//jD2nhEqgofH5g71+ooRERExMnhHJidCBuckvVgLxgeA61rWBeXyMkoaT9dvr7w5ZcwdSrUq2f+3x3FxcHw4TB7tnn9yiutjUdEREREpIwMA35NgY8PQKbdMd4hGAZFm1u6ibgqm2GopXFqaiohISGkpKQQHBxsdTiuJzcXvvjCrBz27QseWlUhIiIiIlXDoRyYlQCbMhxjoV5wTQycreq6WKi0eagq7XJqXl6qsIuIiIhIlWIY8HMKfHIAspyq651CYGAUBKi6LlWEknYREREREXErB7PNteubj6uuXxsDLVVdlypGSbuIiIiIiLgFw4BlR2D+waLV9c4hcHUU+Ku6LlWQknapeJs2wdq15pZXkZFWRyMiIiIibuhANsxKhK1O1fUwLxgRC80DrYtL5EwpaZeKtXIldOliNrOrXRs2bgQ1+xMRERGRcmIYsPQILDgI2U7V9a6hcFUk+Km6LlWcknapWAsXgj3/r+d//8Hff0PnztbGJCIiIiJuISnb7Az/zzHHWIQ3jIiBpqqui5vQ3l1SsS66yHEcFQUtW1oXi4iIiIi4BbsBiw/BIzuLJuzdQ+HhOCXs4l5UaZeK1bUr/P47rFlj7vEeGmp1RCIiIiJShSVmw4wE2O6UrEd6w8hYaBxgXVwiFUVJu1S8Nm3Mi4iIiIjIabIbsPgwfHEQcgzH+IVhcHkk+GoOsbgpS1/aubm5PPjgg9SvXx9/f38aNGjAI488gt3u6CBhGAaTJ0+mVq1a+Pv70717dzZs2FDkdrKysrj11luJjIwkMDCQAQMGsHfv3sp+OCIiIiIiUgH2Z8GTu+HTA46EPdoHJtSFwdFK2MW9Wfrynj59Oq+//jovv/wymzZt4sknn+Spp57ipZdeKjznySef5Nlnn+Xll1/mjz/+IDY2ll69epGWllZ4zvjx41mwYAHz5s3jl19+4ejRo/Tv35+8vDwrHpaIiIiIiJQDuwHfJsOju2BHpjlmAy4Kg4fioJGmw0s1YDMMwzj1aRWjf//+xMTE8M477xSOXXXVVQQEBDB79mwMw6BWrVqMHz+ee+65BzCr6jExMUyfPp0bb7yRlJQUoqKimD17NoMHDwZg37591K1bl4ULF9K7d+9TxpGamkpISAgpKSkEazsyERERERHL7csy167vynSMxfiYa9cb+lsXl0h5KW0eammlvXPnzvzwww9s3boVgLVr1/LLL7/Qt29fAHbs2EFCQgIXX3xx4ff4+vrSrVs3li9fDsCqVavIyckpck6tWrVo2bJl4TnHy8rKIjU1tchFqrHvvoNLL4WJEyEry+poRERERKq1PAMW5lfXdzlV1y8ON6vrStilurG0Ed0999xDSkoKTZs2xdPTk7y8PB577DGGDh0KQEJCAgAxMTFFvi8mJoZdu3YVnuPj40NYWFixcwq+/3iPP/44U6ZMKe+HI1VRcjL07w+5ufD11xAeDvfea3VUIiIiItXS3kyzur7HqY4Sm19db6BkXaopSyvtH374IXPmzOH9999n9erVzJw5k6effpqZM2cWOc9msxW5bhhGsbHjneyc++67j5SUlMLLnj17zuyBSNWVkgI5OWAY4OEBiYlWRyRlcfiwOUuiYUN46y2roxEREZHTlGuHrw7CtN2OhN0G9AmHB+OUsEv1Zmml/e677+bee+9lyJAhALRq1Ypdu3bx+OOPM3LkSGJjYwGzml6zZs3C70tKSiqsvsfGxpKdnc3hw4eLVNuTkpLo1KlTiffr6+uLr69v8S8YBuTlgadneT1EcXX168Ott8JLL0Ht2uaxVB1PPQXffGP+3t54o5nA5//dEBERkaphT351fa9Tdb2WL4yMgXgl6yLWVtozMjLw8CgagqenZ+GWb/Xr1yc2Npbvv/++8OvZ2dksW7asMCFv06YN3t7eRc7Zv38/69evP2HSfkItW4KvLzz22Gk+IqlybDZ48UU4dgx27oQGDayOSMrCeYcIwwCn7SJFRETEteXazT3Xp+12JOweNugbAQ/UU8IuUsDSSvull17KY489Rr169WjRogVr1qzh2WefZfTo0YA5LX78+PFMmzaNRo0a0ahRI6ZNm0ZAQADDhg0DICQkhDFjxnDXXXcRERFBeHg4EyZMoFWrVlx00UVlC2jfPvNN/4MPws03m+ubpXrw87M6Ajkdd98Nq1fDxo1w331Qq5bVEYmIiEgp7MqEmQnwn1N1vbavuXY9Tm/LRIqwNGl/6aWXeOihhxg7dixJSUnUqlWLG2+8kYcffrjwnIkTJ3Ls2DHGjh3L4cOHad++Pd999x1BQUGF5zz33HN4eXkxaNAgjh07Rs+ePZkxYwaeZZ3mXrD7nY8PPPGEOd22YcPyeKgiUhEiI8Fplo2IiIi4tlw7fJUMiw6be7BDfnU9HC4JBy9L5wGLuCZL92l3FYX7440aRfDy5bB1q7muPSICdu82p8yLuLJPPzXX44eFwUcfQYsWVkckIiIiUsTOY+ba9f3ZjrE6vjAqFuqqui7VUJXYp93lvPACdOpkJux5eZCUZF5EXJlhwKhRsH8/bN5sThkXERERcRE5dph/AJ7Y7UjYPW1waQTcH6eEXeRULJ0e75Kuuw7ef99M2vv3hzp1rI5I5NR8fMymejabZoaIiIiIy9h+zFy7nuBUXa/nZ3aGr6NkXaRUVGk/XteusGuX2dzqs8/MJMhqGzfCP/9YHYVUlK1bYdOm0/9+mw0+/hjOOQe6d4fnny+nwESkXHzxBbRqBX36mDNiRESqgRw7fJIET+52JOxeNrg8Eu6tp4RdpCy0pp3SryWwxCOPwKRJ5vFLL8G4cdbGI+XruefgzjvN42nTzA7oIuI+srIgNBQyM82lVyNHwjvvWB2ViEiF2pZfXU90qq7H+5md4WtpQqBIIa1pdxcvveQ4fvFF6+IoiWGYnbs/+QSys099vhTnyj9fETlzhmEutyqgv5Ui4say7fBREjy125Gwe9ngyii4p54SdpHTpaTd1bVpAx4e5hTodu2sjqao6dPh4oth4EAYMsTqaKqmtm3Nn6+Hh3ksIu7Fzw/efhtiY80lLI88YnVEIiIV4p8MeGQn/HAYCqbx1veDB+Ogd7i5rZuInB5Nj8fFp8enpMArr5iNxsaOhYAAqyNyaN8efv/dPPb2VgXpdKSnmz9fux1uuQWCgqyOSERERKTUsuyw4AAsPeIY87bBgEi4KEzJusjJlDYPVfd4VxcSAvffb3UUJRswwJG09+ljbSxVVWAgTJxodRRihc8+g9tvh/BwmDcPmjSxOiIREZEy2ZIBsxLgYI5jrKG/uXY9xse6uETcjSrtuHil3ZUZBixaBEeOwBVXaKsxkdIyDAgOhqNHzaUR/fqZHcZFRESqgMw8mH8Qlh1xjHnb4Ioo6BGq6rpIaanSLhXPZlOFXeR0eXqav0M2G3jpT7GIiFQNm9NhViIkO1XXG/nDiFiIVnVdpEKoEZ2ISGWz2eDDD6FZM+jUCZ55xuqIRERETiozD+YkwHN7HQm7jwcMiYa76iphdwdvrnqT1q+1ZsznY8jMzbQ6HHGi8o6IiBV694YNG6yOQkRE5JQ2pptr1w/nOsYaB8DIGIhUsu4W/j30Lzd+dSMA65LW0SK6BXd2vNPiqKSAknYRKeq//+CXX6BDB4iLszoaERERscixPPj4APya4hjz9YArI6FbqDlxTNxDVm5W4bHNZuNYzjELo5HjKWkXqY7sdkhIgOjoouup//sPWrY0mwsGBMDatXDWWZaFKSIiItZYfxRmJ8IRp+p60wBz7XqEt3VxScVoHtWc+zvfz8u/v8x5Nc9jbLuxVockTpS0i1Q3mZnQsycsX24m5MuXQ1SU+bWffzYTdoCMDFiyREm7iIhINZKRBx8lwYpUx5ifB1wdBZ1DVF13Vzabjcd6PsZjPR+zOhQpgRrRiVQ3S5aYiTrAv/+aDdEKdOhgVtgBfHygc+fKj09EREphLbDa6iDEzfx9FCbvLJqwNw+ESfHQJVQJu4hVVGkXqW7q1XNsNWa3Q4MGjq/Fx8Nff5mJfZcu0Ly5VVGKVI5Vq+Dll80ZJRMngrfmfEpV8ARwX/7xJGCydaGIW0jPgw+T4LfjquuDoqFTsJJ1EaspaRepblq2hAUL4JNPoFs36Nu36NcbNTIvIu4uIwMuvBDS080PsAAeeMDamERK5Q2n49dR0i5n4q80mJsEqU5r11sGwvAYCNPnmCIuQUm7SHV02WXmRaQ6S0mB1PyykqcnbN9ubTwipXYBsMvp2BrHco6x/fB2Gkc0xttT2V1VczQX5iXBH2mOMf/86npHVddFXIqSdhERqZ5q1oTrr4e334agIBg3zuqIRErpbaADkAf8z5IIEo4m0PbNtvyX9h8tolqw8vqV1PCpYUksUnar0+D9REjLc4ydXQOuiYZQff4i4nKUtIuISPX11lswdSqEhIC/v9XRiJSSH2Dth0yfbvyU/9L+A2DDgQ0s2bGEAU0GWBqTnFpaLnyQBKucqusBnjAkGs4PUnVdxFUpaRcRkeotNtbqCESqnOZRZqNST5snBgaNIxpbHJGcjGGYifoHSXDUqbreugZcEwMhyghEXJp+RUVERESkTHrU78EnAz9h6c6lXNH0CppGNrU6JDmB1FxzKvyao46xQE8YGg1tVV0XqRJshmEYVgdhtdTUVEJCQkhJSSE4ONjqcKRAcjJs2QLnnqtpqyKuzm6HO++EL7+EK6+E6dPBw8PqqEREqi3DgD/zq+vpTtX1c2vAsBgIVulOxHKlzUP16yqu6Z9/oF07s7tz06bw558QGGh1VCJyIp9/Di+8YB4//TT06FF8O0EREakUKbkwNxHWOlXXa+RX19uoui5S5ShpF9f06aeOrZg2b4YVK+Cii6yNSUROLC/v5NdFRKTCGQb8lgofHoAMpz/DbYPMZnNBeucvUiXpV1dcU5s25r88Hh7g62tW20XEdV1+OVx3nWN6vKrsIiKV6kgOzE2Cv52q60Ge5lT484Ksi0tEzpySdnFNvXrB11+bFfYrr4Q6dayOSEROxssL3n3X6ihERKodw4AVqfDxcdX184NhcBTU0Lt9kSpPv8biuvr2VbWuujMM+PlnsxFhu3ZWRyNVwaRJ8Oqr5utl3jxQc1ERcWOHc2BOIqxPd4wFe8E10XCOqusibkOtfcW1pKWZXahFAMaNg27d4PzzzeZmIiezbh088ggcPAiLFsHrr1sdkYhIhTAM+DUFJu8smrB3CIbJ8UrYRdyNkvbK8ssvZmflnTutjsQ1GQZce61ZFWvYEHbvtjoicQWzZzuOZ8ywLAypIry9HceGUfS6iIibOJQDL/4HsxIgM7/OEeoFt9SG62qae7CLiHtR0l4ZFi+GLl1g/HizwdqhQ1ZH5HrWr4c5c8zjPXvgjTesjUdcQ9eujn1pOnSAv/7STAw5saZN4fnnoVEjuOYauOkmqyMSESk3hgE/HYEpO2GjU3W9UwhMioeza1gUmIhUOK1prww//WR2QbfbzYR90ya44AKro3ItERFmI6u8PPNSu7bVEYkr+OgjmDULduyAZ5+Fd94xGxN+8ok2mZWS3X67eRERcSPJOWZlfXOGYyzUC66NgZZK1kXcnirtlWHAADMhBWjQAM45x9JwXFKtWvDFF+a2UZMnww03WB2RuIKAALNaunevo8I+fz4cOGBtXCIiIpXAMODHw2Z13Tlh7xxirl1Xwi5SPajSXhnatjWr6xs2mNN9AwOtjsg1XXKJeRE53rnnwvvvg6cnREdDWJjVEYmIiFSog9kwMxG2OiXrYV5wbSy00FtJkWpFSXtladDAvIhI2d15J4SEmNPk//c/NRgTERG3ZRjw4xGYfxCyndq4dA2FqyLBT43mRKodJe0i4vo8PMxkXURExI0lZZtr1/855hiL8IYRMdBU1XWRaktJu4iIiIiIhewGLDkMnx2EHMMx3j0UrlB1XaTaU9IuIiIiImKRxGyYmQDbnKrrkd4wIhaaBFgXl4i4DiXtIiIiIiKVzG7A4sPwxXHV9R6hcEUU+GqPJ5F8icBNwH/AY0Ava8OxgJJ2EREREZFKtD8LZiXCdqfqepQ3jIyFRqquixznfuBLwA5cARwGqldTYn2GJ9XT1KkQFATt20NiotXRiEhZzJsHERHQsCH89ZfV0YiIlJrdgEWH4NFdjoTdBlwUBg/HK2EXKVk6YORfsjCT9+rFZhiGcerT3FtqaiohISGkpKQQHBxsdThS0Xbtgvh489jTE+66C6ZPtzQkESklwzA/cEtPN3cVuOgiWLTI6qhERE5pX5a5dn1npmMsxsesrjf0ty4uEde3BbgcSACeBsZYGk15Km0equnxUnaGAZ9+Ctu3w/DhUKuW1RGVja+v+WbfbjcfS6D2UBGpUgICICMDbDb9/oqIy8vLr65/nQy5+aUyG9ArHAZEgLfmvYqcQhNgk9VBWEpJu5TdG2/AzTebb5hfeQX+/Re8q9C6kthYmD0bnn4aWrUyK+0iUjXYbDB/Ptx9N4SHwwsvWB2RiMgJ7c2EmYmw26m6HptfXW+g6rqIlJKmx6Pp8WU2ciTMmWNWqgH27oXata2NSURERMRF5BnwTTIsPGQeg1ldvzgcLlV1XUTyaXq8VJyhQ2HuXPO4e/eqNz1eREREpILsyTTXru/JcozV9IFRsRCv6rqInAYl7VJ2ffrAli2wZw906mROVxURERGpxnLt8M0hs7puz6+ue9igdxj0jwAvVddF5DQpaZfT07CheRERERGp5nZnwowE+M+pul7L16yux/lZF5eIuAcl7SIiImKhNGAZ0BQ4y+JYRMom1w5fH4Jvj6uu9w2HS8JVXReR8qGkXURERCySCbTD3IPXG/gR6GRlQCKltvOY2Rl+n1N1vU5+db2uqusiUo6UtIuISOlt2gRffw2dO0OHDlZHI1XeBsyEHcAOLEBJu7i6HDt8mQzfHYKCLZg8bNAvHPqoui4iFUBJu7O1a803omqsJiJS3J490LYtZGSAhwcsXw7t21sdlVRpjYAo4ACQB3SzNhyRU9h+zOwMn5DtGKvnByNjoI6q6yJSQfRZoLOuXeH6662OQqSoXbvg9tth8mQzWRKxytq1jteg3W4m7SJnJBhYBbwALAX6WxuOyAnk2OHTA/DkbkfC7mmDyyLh3npK2EWkYtkMwzBOfZp7K9zUHvPtA1lZ4ONjcVQl+OcfWLHC3Bu9Xj2ro5HK0rQp/PsvGAbccAO89prVEUl1degQtGoF+/ZBYCCsXg2NG5/ZbRoGfPcdHD0KAwaAt3f5xCoiUk625VfXE52q63F+5tr1Wr7WxSUiVV9hHpqSQnBw8AnP0/R4ZzabmSC54pvGzZvh3HMhMxOCg2HjRqhd2+qopKIZBmzbBnl55utz0yarI5LqLDwc1q83Pzw85xyoVevMb3PqVJg0yTweOBA++ujMb1NEpBxk2+Hzg/DDYcfadS8bXBoBF4eb69hFRCqDpsc7u+ceWLLENde0L11qJuwAqamallpd2Gxw773msZcX3HWXtfGIhIVB377lk7ADLFjgOP7yy/K5TRGRM/RPBkzdBYudEvb6fvBgHPSJUMIuIpVLSbuz++6D2FiroyhZ9+7gmz8HKygIOna0NBypRFOnmg3AEhLg0kutjsZ6M2aYs0w6djSfF6naLr/ccdyvn2VhiIgAZNlhXiI8sweS8qfDe9ngqiiYWA9qajq8iFhAa9op/VoCy23dalbYe/SAuDiroxGpfEePQmiouVzA0xNGjYK337Y6KjkThgHffGP+bC+/3DX7iYhItbA1w1y7fjDHMdbQH0bGQoz+NIlIBdCadnfUuPGZN30SqcpsNjNZz8szr3vpT1iVZ7OZ0+1FRCySZYf5B+DHI44xbxtcHgkXhmkqvIhYT+94pWrautVcLqAZB9VLYCDMmQMPPQTx8eY2eCIiIqdpczrMSoRkp+r6WfnV9WhV10XERWhNu1Q9kyZBkyZQvz68957V0UhlGzjQ3E3h229dtweFiIi4tMw8mJsIz+11JOw+HjA4GibUVcIuIq5Fa9qpQmvaxRQcDGlp5nHr1vDXX5aGIyIiIlXHxnSYlQCHcx1jjQNgRAxEKVkXkUqkNe3ivs4+29wn2jDgvPOsjkZERESqgGN58PEB+DXFMebrAVdGQrdQ19zxV0QElLRLVfTZZ/DSSxAQALfeanU0IiIi4uLWH4U5iUWr600D4NoYiFR1XURcnJJ2qXoiI2HKFKujEBEREReXkV9dX35cdf3qKOgSouq6iFQNStpFREQq2rZtMH06hIbCgw+avTlEpEL9fdRsNnfEqbreLACujYUIb+viEhEpKyXtIiIiFa1PH9ixw+zFkZwM77xjdUQibis9Dz5KgpWpjjE/DxgYBReoui4iVZCSdhERkYpkGLBrF+TlmdnCv/9aHZGI21qbv3Y91am63iLQXLsepuq6iFRR2qddRESkItlsjj4cPj5w333WxiPiho7mwtv74NX/HAm7vweMjIVbaythF5GqTUm7SGVKT4d+/cz1rOPGmRU4EXF/990HBw7AwYPmVHkRKTdr0mDyTvgjzTHWKhAmx0MnTYcXETeg6fEilWnmTFi40Dx+5RUYMgQ6d7Y2JhGpHJGRVkcg4lbScmFeEvzplKwHeMLgKGgfrGRdRNyHknaRyuTvf/LrIiIickqr0uD9RDia5xhrXQOuiYEQvbsVETejP2silenaa2H1ali6FK67Dtq0sTqiipWbC3/+CXXrQu3aVkcjIiJVXGoufJAEq52q64GeMCQa2gWpui4i7klJu0hl8vKCl16yOorKYbeba3d/+AG8veH776FbN6ujktIq6Legd8Ai4gIMw5wG/0GSuaVbgXNrwLAYCNY7WhFxY2pEJyIVY/duM2EHM4GfPdvaeKT0Fi+G8HAICoJPP7U6GhGp5lJz4fV98PZ+R8JewxP+VxNurKWEXUTcn/7MiUjFiI2FmBizY3ZeHrRrZ3VEUlp33QUpKWZp67bb4KqrrI5IRKohw4Df08xmcxlO1fW2QeZ0+CC9ixWRakJ/7kSkYvj5wYoVZsf8Ro1g2DCrI5LSiogADw/zHXNEhNXRiEg1dCQH5ibB30cdY0Ge5lT484Ksi0tExAo2w9BG0ampqYSEhJCSkkJwcLDV4cjxli6F0aPN9eCzZ0OHDlZHJOLedu2CO++ErCx46ilo1szqiESkmjAMWJkKHx0oWl1vl19dr6Fyk4i4kdLmoUraUdLu8ho2hB07zIZYrVrBX39ZHZG4qnffha+/hr59YcwYq6MREZEyOJwDcxJhfbpjLNgLromGc1RdFxE3VNo8VJ9Xiuvz9jY/ejcM2LTJTODr17c6KnE1P/9sJuo2G8yfD2edpW71rmDPHvPncfbZ0KMHHDoE778PderAZZepO72IYBiwPBU+SoJMu2O8fTAMjja3dBMRqc6UtIvrmzoVBg0yj3Nz4bXX4MknrY1JXM/eveb/CyYPFVwX66SlQZs2ZjNCgM8+gwcegA0bzOsvvGA2uhORautQDsxOhI1O1fUQLxgeA2fXsC4uERFXoi3fxPV17WpW2202MyGrU8fqiMQVDRgA559vHrdrZ1ZxxVr//ONI2D094fvvHQm7zQbLllkXm4hYyjDg5yMwZWfRhL1TCEyOV8IuIuJMSbu4vpgY+OoruOIKePhhGDvW6ojkVP79F5o0AX9/ePrpyrnPwEBYudKcfv3bb1BD7/gs17w5NG1qHnt4wJAhcNFFjq8XzKARkWolOQee32uuXy+YDh/qBbfWhpGxEKDp8CJSol+BmkAI8LHFsVQuNaJDjehEyt3118OMGeb+7DYbJCdDWJjVUYkVjh41K+pNmph9BrKzzR0hatY017mLSLVhGPBTCnx6ALKc1q5fEAIDo8BfybqInFQn4DfADkQAB60NpxyoEZ2IWCc42Hx3ZrOBry/4+FgdkVilRg3o189x3ccHeve2Lh4RscTBbJiZCFszHGNhXnBtLLQItC4uEalKggEb5mTxEItjqVxK2kWk/E2aZFbXt20zG48F6h2ZiEh1ZBjw4xGYfxCynarrXULg6ijwU3VdRErtDeA24ChQScsvXYSS9oqUmwtPPAGbN8NNN0HnzlZHJFI5QkJg5kyro5AzkZsLdrtmSYjIaUvKhlkJ8M8xx1iEN1wbA830Wa6IlFkc8LnVQVhCjegq0osvmo3TPvgALr4YjhyxOiIRkVNbtAhCQyEoCGbNsjoaEali7Ab8cBge2Vk0Ye8eCg/HKWEXESkrJe0VaedOs2Oy3Q7HjpnThaV85OXBnXeajayeesrqaETcy/33Q0aG2TTurrusjkZEqpDEbHh6D3yUBDn5rY4jveHOujA0RtPhRUROh5L2ijR2LISHm8cjRkCDBtbG407mzYPnnoN162DiRFixwuqIRNxHbKz5gaOnp7nloojIKdgN+P4QTN0J25yq6z1C4eF4aBJgUWAiIm5Aa9orUtOmsHcvpKZCZKTV0biXjIyTXxeR0/f223DvvZCZCVOnWh2NiLi4/VkwKxG2OyXrUd7mnuuNlKyLiJwx7dOO9mmvkjIyYNAg+PFHGDYMXn/drAyKiIhIpbAb8P1h+OIg5Oa/m7QBF4bB5ZHgo3+WRUROSvu0i3sLCICvvrI6ivJ36BC89x5ERMC115rTk0VERFzMviyYmQA7Mx1j0T4wKhYa+lsXl4iIO1LSLuJKeveG1avN5oXbtmlqsoiIuBS7AYsOwVfJRavrF4XBZZHgreq6iEi5U9Iu4iry8mDVKihYsfLrr9bGIyIi4mRvJsxMhN1O1fVYH3PtegNV10VEKoySdhFX4ekJ11wDc+aY10eNsjQcERERgDwDvj0EXyebx2BW1y8Oh0sjVF0XEaloStpFXMnMmXDTTeZWgc2aWR2NiIhUc3syzbXre7IcYzXz167Hq7ouIlIplLSLuBIPD7jgAqujEBGRai7XDt8cgoWHzHXsAB426B0G/SPAS9V1EZFKo6S9utqyBf75B3r0gMBAq6ORM5WbC0uWQFgYtGtndTQiIlKF7c6vru91qq7X8jWr63F+1sUlIlJdKWmvjpYsgYsvNhuftWplNj/z9rY6KjkTw4fDhx+ax6+8AmPHWhuPiIhUObl2+PqQuX7dubp+STj0DVd1XUTEKvrzWx0tWOA4XrfOrLhL1WUY8PHHjusffGBdLCIiUiXtPAaP7YaFyY6EvY4v3F8PBkQqYRcRsZL+BJeHrCxYuRIOHrQ6ktLp1s2ssgPUqgX161sbj5wZmw26dnVc79nTulhERKRKybHDggPwxG7Ylz8d3sNmdoW/rx7U1XR4ERHLaXr8mcrMhPbt4e+/ISgIfvvN9bt+X301LF4MGzeax/5q/1pqhmEmya7myy9h7lyz6/xVV1kdjYiIVAE7jplr1/dnO8bq5q9dr6NkXUTEZajSfqb++MNM2AHS0+Gjj6yNp7R69oRbb4WaNa2OpOqYOhV8faFJE9ixw+poiqpRA268EQYONDvQi4iInECOHT49ANN3OxJ2TxtcFgn3xSlhFxFxNXp3fyJZWbB9O9jtJz+vUSMICDATJbsd2rSpnPikciUmwsMPQ04ObNsGTz1ldUQiIiJltu0YTN0F3x2C/KXrxPnBg3HQN8JM3kVExLVoenxJ9u0zp7zv3QsdOsDSpeB3go+dY2NhxQqzc/f550P//pUbq1QOPz/w8TGTdsOA0FCrIxIRESm1bDt8fhB+OOxI1r3y165fHG6uYxcREdekpL0kH3wA//1nHq9cCT//DL16FT0nL88cDwuD1q3h7LNLvq2NG2H/frNRmLZVq7pCQsyu+9OnQ+PGcP/9VkckIiJSKv9kwKxESHJau17fD0bGQk1f6+ISEZHSUdJeksaNzWqqp6d5vaTu6tde69ha6+23YcyY4ud8/DEMHmze1iWXwNdfu2YTMymdvn3Ni4iISBWQZYfPDsLS46rrl0XCRWGqrouIVBU2wzCMU5/m3lJTUwkJCSElJYXg4GBzcOZM+OUXGDSoeJXdbgcvLzMZB7OKvmxZ8Ru+8kr47DPHeYcPa1q1iIiIVLitGWZn+IM5jrEG/jAyBmJVXRcRcQkl5qElUKX9REaONC8l8fAw17z/9puZkHfvXvJ5XbqYU6ptNmjaFE7ygxARERE5U1l2mH8AfjziGPO2weWRcKGq6yIiVZKS9tP17bcwa5a5L/bQoSWfM3481Kljro8fPlxbcYlI9WYYMHu2uVXmsGHQsaPVEYm4lc3p5tr1ZKfq+ln+5tr1aB/r4hIRkTNjeRb533//MXz4cCIiIggICOCcc85h1apVhV83DIPJkydTq1Yt/P396d69Oxs2bChyG1lZWdx6661ERkYSGBjIgAED2Lt3b8UGHhJi7nN+zTUnTsZtNnPf7PHjITKyYuMRsYrdDtddZ3bYv/hiSE+3OiJxVZ98Ys5geu016NHD0fBTRM5IZh7MTYTn9joSdh8PGBwNE+oqYRcRqeosTdoPHz7MBRdcgLe3N9988w0bN27kmWeeIdRp3feTTz7Js88+y8svv8wff/xBbGwsvXr1Ii0trfCc8ePHs2DBAubNm8cvv/zC0aNH6d+/P3l5eRY8KpFq5scfYcYMyMqCxYvNSqpISTZuND/kzMszXy87d1odkUiVtykdpuyCn444xhoHwMNx5nR49b8VEan6LG1Ed++99/Lrr7/y888/l/h1wzCoVasW48eP55577gHMqnpMTAzTp0/nxhtvJCUlhaioKGbPns3gwYMB2LdvH3Xr1mXhwoX07t37lHGUtgGAiJTgjz/g/PMd1+fMMWegiBxv2zazH0hyMnTqBEuXgo9KgCKn41gefHIAfklxjPl6wJWR0C1UybqISFVQ2jzU0kr7F198Qdu2bRk4cCDR0dGce+65vPXWW4Vf37FjBwkJCVx88cWFY76+vnTr1o3ly5cDsGrVKnJycoqcU6tWLVq2bFl4zvGysrJITU0tchE3tXUrtGsHZ50FCxdaHY17atcOnn8e2rSBiRNhyBCrIxJX1bChWV3fuBF++kkJe6nlAb8CW6wORFzEhnSYsrNowt40v7reXdV1ERG3Y2nSvn37dl577TUaNWrEokWLuOmmm7jtttuYNWsWAAkJCQDExMQU+b6YmJjCryUkJODj40NYWNgJzzne448/TkhISOGlbt265f3QxFXccQesWQPbt5vVX+1wWDFuvx3+/BOmTwdPT6ujEVdWowY0a6bXSZlcA3QGmgHzLI5FrJSRZ27j9uJeOJxrjvl6wDUxML4OROpzMBERt2Rp93i73U7btm2ZNm0aAOeeey4bNmzgtddeY8SIEYXn2Y77yNgwjGJjxzvZOffddx933nln4fXU1FQl7u5K5QYRqdKygA/zjw1gJqDZLNXRuqMwJxGO5DrGmgXAtbEQ4W1dXCIiUvEsrbTXrFmT5s2bFxlr1qwZu3fvBiA2NhagWMU8KSmpsPoeGxtLdnY2hw8fPuE5x/P19SU4OLjIRdzUc89B27bQqBF88IGSeBGpYnyAs4GCv12dLIxFrJCeB+/th5f/cyTsfh5wbQzcXkcJu4hIdWBp0n7BBRewZUvRNXpbt24lLi4OgPr16xMbG8v3339f+PXs7GyWLVtGp07mG5c2bdrg7e1d5Jz9+/ezfv36wnOkGmvUCFauhC1boE+firuf9HSYNg0mTTKbbImIlAsb8AMwHbPK/oC14UilWnsUJu+ElU6td1oEwuR46Byqz6FFRKoLS6fH33HHHXTq1Ilp06YxaNAgfv/9d958803efPNNwJwWP378eKZNm0ajRo1o1KgR06ZNIyAggGHDhgEQEhLCmDFjuOuuu4iIiCA8PJwJEybQqlUrLrroIisfnlQnN9wA8/LXmv70k9kVW0SkXEQCd1sdhFSi9DyYlwS/OyXr/h4wKBo6BitZFxGpbixN2tu1a8eCBQu47777eOSRR6hfvz7PP/881zhtFzVx4kSOHTvG2LFjOXz4MO3bt+e7774jKCio8JznnnsOLy8vBg0axLFjx+jZsyczZszAU42OpLKsWQN2u3m8dq21sYiISJW1Jg3mJkJanmOsVSAMj4FQTYUXEamWLN2n3VVon3Y5Y2+/bVbbDQMefRQe0BRWEREpvbRcs7r+Z5pjLMATBkdBe1XXRUTcUmnzUEsr7SJu4/rr4eKLITvb3BNeRESklFalwQfHVddb1zC3cgvROzURkWpP/xSIlJd69ayOQEREqpC0XHg/CVY7VdcDPWFINLQLUnVdRERMStpFREREKpFhmNPgP0gym84VOLcGDIuBYL07ExERJ5Zu+SZSZqmpMGoUdOkCCxdaHY2IiEiZpObC6/vg7f2OhL2GJ/yvJtxYSwm7iIgUd1pJ+88//8zw4cPp2LEj//33HwCzZ8/ml19+KdfgRIqZOhVmz4Zff4Urr4SjR62OSERE5JQMA35LhUk74S+nf7raBJn7rrdVszkRETmBMiftn376Kb1798bf3581a9aQlZUFQFpaGtOmTSv3AEWKSEkx39UYBmRlmRcREREXdiQHXt0H7+6HjPzqepCnWVm/oRYEqbouIiInUeak/dFHH+X111/nrbfewtvbsWFop06dWL16dbkG5xLy8sxEUVzDvfea3dl9feGJJyAiwuqIRNxTZiZkZFgdhUiVZhiwIgWm7IK/narr7fKr6+cFWRaaiIhUIWVO2rds2ULXrl2LjQcHB3PkyJHyiMl17N0LjRpBaCgMHgx2u9URSYMGsHmzmVDcc4/V0Yi4py++gLAwCAmBd9+1OhqRKulwDrz8H8xIcFTXg73gplpwfS2ooeq6iIiUUpmT9po1a/Lvv/8WG//ll19o0KBBuQTlMt56C3btMo8/+gj++svScEREKsVDD5kfjOXmmrNbRKTUDAN+TYHJO2F9umO8fbBZXT9X1XURESmjMiftN954I7fffju//fYbNpuNffv2MXfuXCZMmMDYsWMrIkbr1KljVtdtNvD0hKgoqyMSKZtPP4WbboKvv7Y6EqlK6tQx/+Z5ekLt2lZHI1JlHMqBl/6DWQmQmT85L8QLxtaG0TXNPdhFRETKqsyTsyZOnEhKSgo9evQgMzOTrl274uvry4QJExg3blxFxGid0aPhwAFYtQrGjIG6da2OSKT0fvkFrr4aPDzgzTdh9Wo45xyro5Kq4N13zWp7VhZMnmx1NCIuzzDglxT45IAjWQfoGAyDoiFAybqIiJwBm2EYxul8Y0ZGBhs3bsRut9O8eXNq1KhR3rFVmtTUVEJCQkhJSSE4ONjqcNxTUhJ4eUF4uNWRVB/vvAPXX++4/tFHMHCgdfGIiLih5ByYnQCbnPo2hnrB8BhoVXXfGomISCUobR5a5unxo0ePJi0tjYCAANq2bcv5559PjRo1SE9PZ/To0WcUtOTLy4O334ZHH4WEBKujOXPPPw8xMRAdDR9+aHU01cdll0H9+uZx8+bQu7e18YiIuBHDgGVHYMrOogn7BSEwKV4Ju4iIlJ8yV9o9PT3Zv38/0dHRRcYPHjxIbGwsubm55RpgZXC5Svsjj8CkSea05kaNYNMmc119VRUeDocPm8dnnw1r11obT3WSlWU2U6xfH5y2aBQRkdN3MBtmJcIWp2Q9zAuujYUWgdbFJSIiVUtp89BSr2lPTU3FMAwMwyAtLQ0/P7/Cr+Xl5bFw4cJiibycpt9/N/9vt8OWLWYXZ39/a2M6E2edZa6nBmjSxNpYqhtfX2jc2OooRETcgmHAj0dg/kHIdlq73iUEro4CP61dFxGRClDqpD00NBSbzYbNZqNxCUmAzWZjypQp5RpctTV6NHzzjZm0Dx1atRN2gM8+gyeeAD8/uP9+q6MREREps6Rssyv8P8ccY+HeMCIGmqm6LiIiFajU0+OXLVuGYRhceOGFfPrpp4Q7NRTz8fEhLi6OWrVqVVigFcnlpscD7Nhhdq5v29acJi9SHSUlmZcWLar2EhF3cuAAJCaafRL0t0mqAcOAJUdgwQHIcXrH1C0UroxUdV1ERE5fuU+P79atGwA7duygbt26eOjNWsWqX9/RREykOlq2DC6+GLKzYdAgNTF0BT/9ZP5MsrLMnQg+/FAfpohbS8yGmQmwzam6HukN18ZAU1XXRUSkkpzRlm+7d+8mOzu7yPjZZ59dLoFVJpestItUd8OHwwcfmMtEwKzuqm+Gta69Ft5/3/EzSUgwd4YQcTN2A344DJ8fLFpd7xEKV0SBr+oWIiJSDsq90l7gwIEDXHfddXzzzTclfj0vL6+sNykiUlyrVjB3Lnh6QlQUhIZaHZG0amUm7J6eEBkJYWFWRyRS7hKyYGYibHeqrkd5w4hYaBxgXVwiIlJ9lTlpHz9+PIcPH2blypX06NGDBQsWkJiYyKOPPsozzzxTETGKSHU0YQIEB8POnXDDDeDjY3VEctddEBRk9tyolj+To8DbgB8wGqhuj9+92Q34/jB8cRBy86vrNuDCMLgsUtV1ERGxTpmnx9esWZPPP/+c888/n+DgYP78808aN27MF198wZNPPskvv/xSUbFWGEunxy9eDOPGmW+EZ82CZs0q9/5FRKSU+gLfAgZwA/CGteFIudmXZa5d35npGIv2gZExcJaq6yIiUkFKm4eW+XPj9PT0wv3Yw8PDOXDgAACtWrVidcFe3HJiW7aYFaoHHoCMDLjmGti6FdasgVtvtTo6ERE5oRWYCTvAz1YGIuXEbsA3yfDYLkfCbgN6hcFDcUrYRcpuLTAGeATIsjgWEfdR5unxTZo0YcuWLcTHx3POOefwxhtvEB8fz+uvv07NmjUrIkb3YRhw0UWwf795nJZm/r/ga6fXE1BERCrFGKBgGdj/rAxEysF/+dX1XU7V9RgfGBULDfyti0uk6soGLgRSADuQB0yxNCIRd3Faa9r3798PwKRJk+jduzdz587Fx8eHGTNmlHd87iU3F/btMxs52Wzw779mo62xY821uy+9ZHWE4o6ysuDOO+GPP8zX2qhRVkckUkU9BQwCfIHWFscipyvPgG8PwdfJ5jGY1fWLw+HSCPDW2nWR05QGHMo/9gC2WRiLiHs57S3fCmRkZLB582bq1atHZGRkecVVqSp1TftDD8Gjj4K/P3z1FVx4YcXen8gLL8Add5gzOQo+LGrQwOqoREQq3d5MmJEAe5xm7db0gZGxUF/VdZFyMA54BQgCFgPnWxuOiIursDXtxwsICOC8886rsgl7pZs61dxvOilJCXt19eST5lZZnTqZr4WKlppqJutgJu7p6RV/nyIiLiTXDl8ehMd2OxJ2DxtcEg4PxClhFyk/LwP7gQSUsIuUnzJX2g3D4JNPPmHp0qUkJSVht9uLfH3+/PnlGmBlsLR7vJxYXp45K2HNGrj+eujf3+qIztzevVC3rnns6WlWwJ96qmLvMzkZLr3UfB7HjoWnn3Yk8SIibm53prl2fa9Tdb2Wr7l2Pc7PurhERERKm4eWeU377bffzptvvkmPHj2IiYnBpjf/UlHefBMmTzYTzK++MvfrrlPH6qjOjLc3eHiYfQ0MA/wq4R1jRAQsX17x9yMi4kJy7fD1IXP9uj2/PFFQXe8bDl5auy4iIlVEmZP2OXPmMH/+fPr27VsR8Yg47N9vVqPz8szLwYNVP2mPiYGZM80p8i1awMSJVkckIuJ2duWvXd/nVF2vk19dr6vquoiIVDFlTtpDQkJooCZWUhluuMHsrr99u7mffWs36dY8fLh5ERGRcpVjh6+S4bvDRavr/cKhj6rrIiJSRZV5TfvMmTP59ttveffdd/H3d4/OLVrT7sLsdsjIgBo1rI5ERERc2I5j5tr1/dmOsbr51fU6qq6LiIgLqrA17QMHDuSDDz4gOjqa+Ph4vL29i3x99erVZY9W5EQ8PJSwi4jICeXY4Ytk+P4QFFQhPG3QPwJ6h5vHIiIiVVmZk/ZRo0axatUqhg8frkZ0IiIiYplt+dX1RKfqepyfue96bV/r4hIRESlPZU7av/76axYtWkTnzp0rIh4RERGRk8q2w+cH4YfDjuq6lw0ujYCLw8117CIiIu6izEl73bp1te5bRERELPFPBsxKhCSn6nq8n7l2vaaq6yIi4obK3Ef1mWeeYeLEiezcubMCwhEREREpLssOHybBM3scCbuXDa6KgnvqKWEXERH3VeZK+/Dhw8nIyKBhw4YEBAQUa0R36NChcgtOREREZGuGuXb9YI5jrIE/jIyBWCXrIiLi5sqctD///PMVEIaIiIhIUVl2mH8AfjziGPO2weWRcGGY1q6LiEj1UOakfeTIkRURh4iIVEsG8AOQAfTlNP5ZEje1Od1cu57sVF0/yx9GxEKMj3VxiYiIVLZSvTtKTU0tbD6Xmpp60nPVpE5EpBwkJ4OnJ4SGWh1JBcgEkoFawKPAw/nj1wBzrApKXERmHnx6EH464hjztsGVUdAjFLTTrIiIVDelStrDwsLYv38/0dHRhIaGlrg3u2EY2Gw28vLyyj1IEZFq5ZVX4NZbzaR99mwYMsTqiMrRFqAzcBC4EvjH6WsLLIlIXMem/Or6IafqeqP86nq0qusiIlJNlSppX7JkCeHh4QAsXbq0QgNyK3v2wNChsHcvPP64eSwiciqTJ4NhQG4uTJ3qZkn7W8Dh/OP5wP+AdfnXL7EkIrHesTz49AD8nOIY8/WAKyOhW6iq6yIiUr2VKmnv1q1b4XH9+vWpW7dusWq7YRjs2bOnfKOr6h5+GFauhLw8GDUKLr8c/P2tjkpEXF3DhnA4P7Ft3NjaWMpdQyAPc8dRH+AxoB+QDlxtYVxilQ3pMDsBDuc6xpoEwIgYiFR1XUREpOwdf+rXr184Vd7ZoUOHqF+/vqbHOzu+NKBSgYiUxvz5MG0a+PjAgw9aHU05uxE4hlldvx6IAi6zNCKxRkYefHwAlh9XXb86CrqE6J9MERGRAmVO2gvWrh/v6NGj+Pn5lUtQbmPqVNixw5wm//jjYLfDunXQpIn5ZlzEFRiG+VqdPx8uu8ycmq13y9aqVQteftnqKCqIB3Cn1UGIxdYdhTmJcMSput4sAK6NhQhv6+ISERFxRaVO2u+803yTZbPZeOihhwgICCj8Wl5eHr/99hvnnHNOuQdYpdWuDQU9ABISzGmu//0HTZvCb7+BOu2LK/juO5g0yTxeuxbOPx/69bM2JhFxSxl58GESrHTaiMbPAwZGwQWqrouIiJSo1En7mjVrALPSvm7dOnycKsU+Pj60bt2aCRMmlH+E7mLBAjNhB9i8GX74Aa64wtqYRADS009+XUSkHKzNr66nOlXXWwTC8BgIV3VdRETkhEqdtBd0jb/uuut44YUXtB97WbVoYf7f09OcjtykibXxiBS49FIYPBi++MKssF9+udURiYgbSc+vrv/mVF3394BB0dAxWNV1ERGRU7EZhmGcyQ2kpqayZMkSmjZtStOmTcsrrkqVmppKSEgIKSkpFfthxOefw5Il5rrhCy+suPsR15OWBu+9B4GBMGIEeKusJCLub00avJ9UtLreKr+6Hqo/gyIiUs2VNg8tcyO6QYMG0bVrV8aNG8exY8do27YtO3fuxDAM5s2bx1VXXXVGgbu1yy4zL1L9XHmluSTCMODvv+GFF6yOSESkwqTlwrwk+DPNMRbgCYOjoL2q6yIiImXiUdZv+Omnn+jSpQsACxYswDAMjhw5wosvvsijjz5a7gGKuIVffzUTdoCff7Y2FhGRCrQqDabsLJqwt64Bk+Kgg5rNiYiIlFmZk/aUlBTCw8MB+Pbbb7nqqqsICAigX79+/PPPP+UeoIhbuO66ko/l1I4dg7lzYdEixwcfIuJy0nLhjX3w5j5IyzPHAj1hTE24uZamw4uIiJyuMk+Pr1u3LitWrCA8PJxvv/2WefPmAXD48GHt0y5yIi+/DNdcY65pb93a6miqlv79zV4QAE8/DXfdZW08IlKEYZhV9Q+SzKZzBc6tAcNiILjM7zRERETEWZn/KR0/fjzXXHMNNWrUIC4uju7duwPmtPlWrVqVd3wi7sFmg06drI6i6snNdSTsAAsXKmkXcSGpufB+Iqw56hgL9IRh0dAmSFPhRUREykOZk/axY8fSvn17du/eTa9evfDwMGfYN2jQQGvaRaR8eXlBnz7w7bfmdTVyFHEJhgG/p5lbuTlX19sEwdBoCFJ1XUREpNyc8ZZv7qDStnwTkbLLyoKvvoLISOjWzepoRKq9IzkwNwn+dqquB3nC0BgzaRcREZHSKW0eWupGdM2bN+fQoUOF12+44QYOHDhQeD0pKYmAgIDTDFdE5AR8feGqq5Swi1jMMGBlCkzZVTRhbxcEk+KVsIuIiFSUUiftmzdvJjc3t/D6vHnzSEtz7OdiGAaZmZnlG52IiIhY7kgOvPwfvJcAGfnT4YO94KZacH0tTYcXERGpSKf9z2xJs+pt6jgjIiLiNgwDVqTCR0lwzO4Ybx8Mg6PNpnMiIiJSsfTZuIiIiBRzOAdmJ8KGdMdYsBcMj4HWNayLS0REpLopddJus9mKVdJVWRcREXEvhgG/pMAnByDTqbreIRgGqbouIiJS6UqdtBuGQc+ePfHyMr/l2LFjXHrppfj4+AAUWe8uIiIiVU9yDsxOgE0ZjrHQ/Op6K1XXRURELFHqpH3SpElFrl9Wwn7JV1111ZlHJCIiIpXKMODn/Op6llN1/YIQuDoKAlRdFxERsYz2aUf7tIuISPV1MBtmJcIWp+p6mBdcGwstAq2LS0RExN2VNg9VIzo5fXl58PHHcOwYDB0Kfn5WRyQiIqVkGLDsCMw/WLS63iUErooCf1XXRUREXIKSdjl9EyfCs8+ax59/Dp99Zmk4IiJSOgfyq+tbnarr4d4wIgaaqbouIiLiUpS0y+n77jvH8Q8/WBeHiIiUimHAkiOw4ADkOC2O6xoKV0WCn6rrIiIiLsfD6gCkChs2zHE8ZIh1cYiIyCklZcPTe+CjJEfCHuENd9SBa2KUsIuIiLgqVdqtsGwZPPkkxMfD9OlQo4ruo3PvvdCli7mmvWdPq6MREZES2A1Ychg+O1i0ut4jFK6IAl99fC8iIuLSSpW0v/jii6W+wdtuu+20g6kWjh2Dfv0gIwNsNggMNBP4qshmg86drY5CREROICELZibC9mOOsUhvGBkLjQOsi0tERERKr1RJ+3PPPVeqG7PZbEraTyUzE9LTzWMPD0hKsjYed3XoEFxzDWzcCPfdBzfdVPrvzciA33+Hpk0hNrbiYhQRqSB2AxYfhs8PQm5+dd0GXBgGl0Wqui4iIlKVaJ92LNin/ZFHYMoUMyH8/nto3rzi77O6ufdeePppc1s6mw327StdAp6RAW3awObNEBAAv/0GLVtWfLwiIuVkfxbMSICdmY6xaB8YGQNnqbouIiLiMkqbh572Z+3Z2dls2bKF3Nzc072J6uvhh82K+969SthdzapVZsIO5s/o00+tjUdEpJTsBnyTDI/uciTsNuCiMHgoTgm7iIhIVVXmpD0jI4MxY8YQEBBAixYt2L17N2CuZX/iiSfKPUC35e1tVoClYtx9N/TqBXXrwquvln6ae5MmZmNAmw3sdmjfvmLjlOKSk+Gff8y9qUSkVPZlwRO7zWZzBdPhY3zg7nowMBp8ynk6/P60/ew6sqt8b1RERERKVOZ/xu+77z7Wrl3Ljz/+iJ+fX+H4RRddxIcffliuwYmctogI+OYb2L27bOvZo6PNKfFTppjf36dPxcUoxf34I9SuDY0bw+jRVkcj4vLyDFiYX13f5VRdvzjcrK439C//+5zz9xzqPFeH+Bfieeynx8r/DkRERKSIMq9pj4uL48MPP6RDhw4EBQWxdu1aGjRowL///st5551HampqRcVaYSp9TbuIlGzwYPjkE3OWA5gNBcPCrI1JxEXtzTTXru/JcozV9DE7w9evgGS9wDmvn8PaxLUABPsGk3JvSsXdmYiIiBursDXtBw4cIDo6uth4eno6Nk33Fikbux0OHtRU8AItWpjPhacn1KwJQUFWRyTicnLt8NVBeGy3I2G3AZeEwwNxFZuwA7SKaYWHzQNPmyfNo9SXRUREpKKVass3Z+3atePrr7/m1ltvBShM1N966y06duxYvtGJuLPkZOja1dyWrls3WLQIfH2tjspa999vJup79sDNN4NXmf9Eibi1PfnV9b1O1fVavjAqFuL8Tvx95em1fq9xVthZHMs9xp0d76ycOxUREanGyvyO+PHHH6dPnz5s3LiR3NxcXnjhBTZs2MCKFStYtmxZRcQo4p4+/NBM2AGWLYPFi6FfP2tjspqXF9xxh9VRiLicXDt8fQi+PWR2iQfwsEGfcOgXDl6VuO96DZ8aTOo+qfLuUEREpJor8z/znTp14tdffyUjI4OGDRvy3XffERMTw4oVK2jTpk1FxCjinurVM/9vs5mXunWtjUdEXNKuTHMq/MJkR8JexxfuqweXRVZuwi4iIiKVr8yN6NyRGtGJJQwDXn8dli6FgQPNi4hIvlw7fJUMiw4Xra73DTfXrytZFxERqdpKm4eWKmkvS0f4qpj0KmkXERFXsvOYuXZ9f7ZjrK6v2Rm+biWtXRcREZGKVdo8tFRr2kNDQ0vdGT4vL690EYqIiEgROXb4Mhm+OwQFn6h72qB/BPQON49FRESkeilV0r506dLC4507d3LvvfcyatSowm7xK1asYObMmTz++OMVE6WIiIib255fXU90qq7H+ZnV9drVfGMJERGR6qzMa9p79uzJ9ddfz9ChQ4uMv//++7z55pv8+OOP5RlfpdD0eBERsUq2HT4/CD8cdlTXvZyq6x6qrouIiLil0uahZW5js2LFCtq2bVtsvG3btvz+++9lvTkRERFLHMw4yMu/v8xXW7/Cqp6s/2bA1F2w2Clhj/eDB+Lgkggl7CIiInIa+7TXrVuX119/nWeeeabI+BtvvEFdbVklIiJVQJ49jwvevYCtyVsBeKP/G9zQ5oZKu/+s/Or6kuOq6wMioVeYknURERFxKHPS/txzz3HVVVexaNEiOnToAMDKlSvZtm0bn376abkHKCIiUt4OZBwoTNg9bB78uPPHSkvat2bArAQ4kOMYa+API2MgVmvXRURE5Dhlnh7ft29f/vnnHwYMGMChQ4dITk7msssuY+vWrfTt27ciYhQRESlXMYExdKnXBQDDMBjYfGCF32eWHeYlwjN7HAm7tw0GRsHddZWwi4iISMnK3IjOHakRnYvbtw9CQyEgwOpIRMSNZOVmsWTHEuqG1KVldMsKva/N6TA7EQ46Vdcb+pud4WN8KvSuRURExEWV6z7txzty5AjvvPMOmzZtwmaz0bx5c0aPHk1ISMhpByxSojFj4N13ITgYliyBNm2sjkhE3ISvly+XNLqkQu8jMw/mH4RlRxxj3ja4Igp6hGrtuoiIiJxamSvtf/75J71798bf35/zzz8fwzD4888/OXbsGN999x3nnXdeRcVaYVRpd1H790OtWuaxpyeMGGEm8CIiVcCm/Op6slN1vZE/jIiFaFXXRUREqr0Kq7TfcccdDBgwgLfeegsvL/Pbc3Nzuf766xk/fjw//fTT6Uct4iw0FEJC4OhRsNuhYUOrIxIROaXMPPjkAPyc4hjz8YArI6F7KNhUXRcREZEyKHOl3d/fnzVr1tC0adMi4xs3bqRt27ZkZGSUa4CVQZX2CrJuHfz8M1x0ETRufHq3sWYNvPKKmbBPmADe3uUbo0hFWr0aVq6EPn2gQQOro5FKsCEdZifA4VzHWJMAGBEDkaquS7nJAT4EPIGBnOZqRxERsViFVdqDg4PZvXt3saR9z549BAUFlT1ScU/r15vrz3NyzAZyGzZAfHzZb+fcc+Htt8s9PJEK98cf0LEj5OWZPRm2bIHYWKujkgqSkV9d/9Wpuu7rAVdHQZcQVdelvI0BZucf/wS8ZmEsIiJS0cq85dvgwYMZM2YMH374IXv27GHv3r3MmzeP66+/nqFDh1ZEjFIV/fKLmbADZGTA779bG4+4J8OA996DO++Ev/6yOpqili0zE3aA1FSz6i5uad1RmLKzaMLeLAAmxUPXUCXsUhEWOR1/a1kUIiJSOcpcaX/66aex2WyMGDGC3Fxz/p+3tzc333wzTzzxRLkHKFXURRdBYCCkp0N4OHTpYnVE4o5mzoTRo81GhW++CXv2QFiY1VGZ+vSBhx6CzEyIiYH27a2OSMpZRh58lAQrUh1jfvnV9c6qrkuFGgy8lH88xMpARESkEpz2Pu0ZGRls27YNwzA466yzCKjCe2hrTXsF2b3brLBfcAHUrGl1NOKOJkyA5593VLTXroWzz7Y0pCJ27IBVq6BbN4iKsjoaKUdrj8LcREhxWrveIhCGx0C4Wm9IhbMDizHXtF8I6BMiEZGqqLR56Gkn7e5ESbtIFfX339C5M6SlQY8e8P33ZtVdpIKk58GHSfDbcdX1QdHQKVjVdRERESm9cm9EN3r06FKd96720RaRynL22eaMjr17oVkzJexSodakwftJkOpUXW+ZX10PU3VdREREKkipk/YZM2YQFxfHueeei4rzIuIyQkPNi0gFOZoL85LgjzTHWIAnDI6C9qqui4iISAUrddJ+0003MW/ePLZv387o0aMZPnw44eHhFRmbiIiIpVanwfuJkJbnGDu7BlwTDaGqrouIiEglKPWWb6+++ir79+/nnnvu4csvv6Ru3boMGjSIRYsWqfIuIiJuJS0X3twHb+xzJOwBnjC6JoytpYRdREREKs9pN6LbtWsXM2bMYNasWeTk5LBx40Zq1KhR3vFVCjWiExERAMOAVWnwQRIcdaqun1MDromB4DJvlCoiIiJSsnJvRHc8m82GzWbDMAzsdvvp3oyIiIhLSM01p8KvOeoYC/SEodHQNkhr10VERMQapZ4eD5CVlcUHH3xAr169aNKkCevWrePll19m9+7dVbbKLiIi1ZthmFu4Td5ZNGE/Lwgmx0M7NZsTERERC5W60j527FjmzZtHvXr1uO6665g3bx4REREVGZuIiEiFSsmFuYmw1ilZD/KEoTHQJsi6uEREREQKlHpNu4eHB/Xq1ePcc8/FdpKSw/z588stuMqiNe0i4no+BR4C4oCZQLS14biZgur6hwcgw2ntetsgGBINQVq7LiIiIhWs3Ne0jxgx4qTJulSyw4fhiScgLw/uuQeioqyOSETKTQYwDMgGtgKTgNcsjcidHMmBOYmwLt0xFuRpNpo7V9V1ERERcTGlTtpnzJhRgWFImY0YAd98Yx6vXg1Lllgbj4iUIzvgVP4l26pA3IphwIpU+CgJjjn1Tz0/2KyuB3paF5uIiIjIiZSpEZ24kE2bzCp7Xp55XN39+CP07AmjRsGRIxYHI3KmagBvArFAG8xKu5yJwznw0n8wM8GRsAd7wdjaMKamEnYRERFxXVq1V1Xdfz/8739m6ejBB62OxlpZWdC/P2RkmC2eg4PhxRetjkrkDI3Ov8iZMAz4JQU+OQCZTtX1DsEwSNV1ERERqQJcptL++OOPY7PZGD9+fOGYYRhMnjyZWrVq4e/vT/fu3dmwYUOR78vKyuLWW28lMjKSwMBABgwYwN69eys5eguMHg3798O+fXDLLVZHY62cHDh2zHx3DnDokLXxiIhLSM6BF/aa69cLEvZQLxhXG65TdV1ERESqCJdI2v/44w/efPNNzj777CLjTz75JM8++ywvv/wyf/zxB7GxsfTq1Yu0tLTCc8aPH8+CBQuYN28ev/zyC0ePHqV///7k5eUdfzfuJzoaYmOtjsJ6NWrAU0+Bjw/UqWPOQhCRassw4KcjMGUnbMpwjHcKgUnx0KqGRYGJiIiInIZSb/lWUY4ePcp5553Hq6++yqOPPso555zD888/j2EY1KpVi/Hjx3PPPfcAZlU9JiaG6dOnc+ONN5KSkkJUVBSzZ89m8ODBAOzbt4+6deuycOFCevfuXaoYtOWbmzAMc3q8iFRbB7NhdiJsdkrWw7zg2lhoEWhdXCIiIiLHK20eanml/ZZbbqFfv35cdNFFRcZ37NhBQkICF198ceGYr68v3bp1Y/ny5QCsWrWKnJycIufUqlWLli1bFp5TkqysLFJTU4tcxA0oYReptgwDfjwMj+wqmrB3zq+uK2EXERGRqsrSRnTz5s1j9erV/PHHH8W+lpCQAEBMTEyR8ZiYGHbt2lV4jo+PD2FhYcXOKfj+kjz++ONMmTLlTMMXEREXcCAbZiXCVqdkPdwbro2B5krWRUREpIqzrNK+Z88ebr/9dubMmYOfn98Jz7MdVz01DKPY2PFOdc59991HSkpK4WXPnj1lC15ExGVkAv0BP2DY/9u77/gqy/v/46+TnQAJBDJAkKEoKKgILnAPrKNKteIe1bbuwhdttdVf1VpHrdpWqau27j2rdeLCWrUoggMHFmUpEGYSVta5f3/cIQMFAiS5T05ez8fjPLhz5T7nfCI3yPt8rvu6gOpoy2lFQQCv1nbXGwb2vTvDZb0N7JIkKTlE1mmfPHkyJSUlDB06tG6spqaGN998k/Hjx/PFF18AYTe9e/fudeeUlJTUdd+Li4uprKxk6dKljbrtJSUlDB8+fJ3vnZmZSWZmZnP/SJIUgUeB52qPHyIM7odHV04rKakM91z/36r6sa7pcEoRDDCsS5KkJBJZp/2AAw7g448/ZurUqXWPYcOGceKJJzJ16lT69etHcXExEyZMqHtOZWUlEydOrAvkQ4cOJT09vdE58+bN45NPPllvaN8kNTVw111w3XWweHHzvrYkbbJOG/g6ucQDeGUJ/G5m48C+b+fw3nUDuyRJSjaRddo7derEoEGDGo116NCBrl271o2PHTuWq6++mv79+9O/f3+uvvpqcnJyOOGEEwDIy8vjjDPO4IILLqBr167k5+dz4YUXMnjw4O8sbLfZrrgCrrwSUlLgwQdh6tTNe72KCnj3XejbF7bcsllKlFrcO+/AT38Kqanwj3/AsGFRVySOBC4BXgSOAfaOtpwWtKAS7p4PXzUI693S4dRi2CYnurpaw/hJ47nuP9cxuGgwDxz1AJ2zOkddkiRJaiWRLkS3Ib/61a9YtWoV55xzDkuXLmW33Xbj5ZdfplOn+k7Sn/70J9LS0hg9ejSrVq3igAMO4O677yY1NbV5i3nnnfDXeBw+/BCqqiA9fdNeq6YG9t03DO3p6fDqq7DXXs1WqtRiTj8dpk8Pj3/2M5gypfXe+5134LbbYOBAuPBCSEvov75aUQrw+9pHcooH8MpS+OciqK7dpDQG7NcFRnWDzMj3QWlZs0tnc/4L5wPwbfm33PjOjfxuv99FXJUkSWotCfWv3jfeeKPR17FYjMsvv5zLL798nc/Jysri5ptv5uabb27Z4n7ykzBcBwGcdNKmB3aA//0vDOwQfgjw8MOGdml9li2DAw+E1avDPzNZWTB2bNRVqRXMqwi76zNX148VZoT3rvdP8u76GjHqF1YNCCKsRJIkRSGhQntCO+EEGDoUliyB3XbbvNfq1QsKC2HhwrDrvvvuzVOj1NL+8Y+ww56aCnfe2Xrvu2gRrKxdHjw1Fb76qvXeW5GIB/DSEvjX4sbd9QO6wJHdICPJu+sN9crrxc2H3Mwf3/4jgwsHM26PcVGXJEmSWlEsCIJ2/7F9WVkZeXl5lJaWkpub2zpvOnNmeG/8wIEwahRsYBs7qd369lsYPx5eegk++AC6doV//zv8s6Ok9G1td31Wg+56UUZ47/pW2dHVJUmS1JyamkMN7UQU2iU1zXbbhffRx+Nw5pnw5z+DWzYmpZoG3fWaBt31g/LhiK6Q3o6665IkKfk1NYc6PV5alzlz4JJLwrD4+99Dnz5RV9T+VFfD55+Ha0kAfPmlgT1JzV0ddtfnVNSPda/trve1uy5JktoxQ7u0LqecEk7DhsaLB6r1pKXBueeG0+NTU8NjJZXqOLy4BJ5bEt7HDmF3/eB8ONzuuiRJkqFdWqdvvgkXCgSYNy/aWtqzm26Cc86BvDzo0SPqatSM5tR21+c26K73yIRTi6CP3XVJkiTA0C6t23XXwfHHh9Pj//jHqKtpv2KxBFh0Lk7Y/3XByOZQHYfnl8ALDbrrKTH4QT4clg9pdtclSZLqGNqldRk1CkpLw+OMjEhLUZT+BpwPdAaeBXaJtJq2blZtd/3bBt31npnhvetbZkVXlyRJUqIytGvjzJsHKSlQVBR1Ja0jIwNWrw4XQOvXL7yvWu1InDCwVwALgf8HvBhpRW1VdTxcFf6lpY2764fmwyF21yVJktbJfyap6W6+ObynuEcPuOuuqKtpHXPnwlZbwTbbwIgRUFGx4ecoicSAPMK/KmNAt2jLaaNmroLfz2o8Hb5XJvxmS/hhNwO7JEnS+thpV9NdfXX4azweHm+zTfj18OHhfcfJ6KGH6heh++9/4a234IADoq1JrShGOCX+/xEG9hujLaeNqYrDs4vh5SVQm9VJjcFhXcP711OT9K8NSZKk5mRoV9MNHAgLF4Z7ZqekwJ57huO//nV9oE82224b/rypqeEHE337Rl2RWt2uwEtRF9HmfLUK7pkP8yvrx7bMgtOKYYvM6OqSJElqa2JBEAQbPi25lZWVkZeXR2lpKbm5uVGXk7gWLgxXVE9Lg3vvhW+/Dcd79Ai3R0tW990H//kPHHss7Ldf1NVICa0qDv9cBK8sre+up8XCPddH2l2XJEmq09QcaqddTVdQUL/12TffhGEWYP/9o6upNZx8cviQtF4zarvrCxp01/tkhSvD97C73opWAD8HpgBja48lSVJbZWjXprnzTthnn/DYQCu1a5VxeHoRvLZWd/2IbnBQl3CVeLWmvwAPE+5+cCYwEugTZUGSJGkzGNq1aTIy4Iwzoq5CUsS+XBl21xdW1Y/1y4ZTi6DY7npEKgkXUVyjOqpCJElSMzC0S5I2WkUcnloIry+rH0uPwZHd4AC76xH7BfAm8CHwf8DW0ZYjSZI2i6FdkrRRvlgJ986HRQ2661tlh/euF2VEV5fWyAdei7oISZLUTAztkqQmWV0DTy6Cicvqx9Jj8KMC2K+z3XVJkqSWYGiXohAEsHo1ZGdHXYnUJJ+tgPsWwOIG3fX+2XBKMRTaXZckSWoxKVEXILU7ixbBDjtATg6MHg01NVFXJK3T6hq4fz78eW59YM9IgeMK4YJeBnZJkqSWZmiXWtvdd8O0aeHxY4/BO+9EWo60LtNWwOUz4d+l9WPb5MBlvWG/LhBzOrwkSVKLc3q82rdXX4VnnoEDDoAjjmid9ywqCqfHQ5h6Cgqa/z3efhsefRT22AOOPbb5X19JbVUNPLYQ/tMgrGemwNEFsHeeYV2SJKk1GdrVfk2bBiNHhgnkppvgzTdhr71a/n1PPBFmzw6D9SmnwLbbNu/rz54N++0XTrv/y1/Cafg//GHzvoeS1ifLw3vXlzXY2ntATnjvetf06OqSJElqrwztar8+/xzi8fqvp01rndCekgKXXNJyrz9jBlRWhsexGHzyiaFd37G8cjlVNVV0ye4CwMoaeLQE3imrPycrBX5cAHvaXZckSYqM97Sr/TrooPou9xZbwKhRkZbTbPbYA3beOTzu2hWOOy7aepRw/vn5P+n6h650va4rN/33Jj5aHt673jCwb9cBLusDe3U2sEuSJEXJTrvar9xc+PBDmD4dttoqnEaeDLKy4N134YsvoE8f6Ngx6oqUYK5880oq45WQksPFn0zn5M7138tKgdGFMDzXsC5JkpQIDO1q3zIzYfDgqKtofunpMGhQ1FUoQfXr0o8p5QFB4Qlkd+xdNz6oA5xUBF28d12SJClhGNolqR1ZXg0jdr2Lz7p8SHW8miHdh5CdAscWwu521yVJkhKOoV2S2okPyuHBBVBe04HhvYYDsENHOLEQOttdlyRJSkiGdklKcuXV8FAJTC6vH8tJheMKYddOdtclSZISmaFdkpJUEIRB/aESWF5TP75TRzihCPL8P4AkSVLC859sUrIpLYXsbMjIiLoSNZMFyxfwm1d/w+qa1Vyx7xVsnb/1Bp9TVh1OhZ+yvH6sQyocXwjD7K5LkiS1GYZ2KZlceilcdRXk5cGECbDLLlFXpGbw02d+ygv/ewGAT0o+4cOzPlznuUEA75XDwyWwokF3fedOYWDP9W99SZKkNsV/vknJYvnyMLADlJfD9dfDI49EW5OaxdyyucSDOAEB35Z/u87zSqvhgQXwYYPuesfUcCr80E6tUKgkSZKaXUrUBUhqJpmZkJ8PKbV/rHv1irYeNZurDriK7PRs0lPSue7A677z/SCAd0vh8pmNA/uwTnB5HwO7JElSW2anXUoW6enwyithh32LLeDyy6OuSM3k0P6HsvSipcSDOFlpWY2+t6wK7l8AH6+oH+tU213f2bAuSZLU5hnapUTw7beQlRV2yjfHkCHwwAPNU5MSSkZq44UFgwDeKYNHS2BVvH5811w4tgA6+re7JElSUnB6vLQ+JSXw+9/DLbdAVVXLvMfvfx92xouK4OmnW+Y9lFSWVsHN38A98+sDe24anLMFnNHdwC5JkpRM/KedtD4jR8LHH0M8DrNmwR/+0PzvsWbxuOpquO46GDWq+d9DSSEI4D+l8NhCWN2gu757LowuDLd0kyRJUnIxtEvrEo/XB3aASZNa5n223ho++yxMZAMGtMx7qM1bUgX3zofPVtaPdU6DE4tgh47R1SVJkqSWZWiX1iUlBX76U7jjjvD45z9vmfd5/nn44x/DvdUvuqhl3kNtVhDAv0vh8YVQ0aC7PjwPjimAHLvrkiRJSS0WBEEQdRFRKysrIy8vj9LSUnJzc6MuR4kkCGDq1DBQ9+sXdTVqZxZVwn0L4PO1uusnF8Egu+uSJEltWlNzqJ12aX1isXBFdqkVBQFMXAZPLmrcXd8zD35cANl21yVJktoNQ7skJZCFlXDvApjeoLveJQ1OKYbtOkRXlyRJkqJhaJekBBAE8PoyeGoRVDboru/dGY7uBll21yVJktolQ7skRaykMlwZ/stV9WNd0+GUIhhgd12SJKldM7RLUkTiAby2FJ5eBFUNlgTdtzP8yO66JEmSMLRLTVNTE/6aaopS81hQCXfPh68adNe7pcOpxbBNTnR1SZIkKbGkRF2AlPCefhpyc8PH009HXY3auHgALy+BK2c2Duz7d4Hf9jGwS5IkqTH3acd92rUBW20FX30VHvfrBzNmRFuP2qx5FXDPfPh6df1YYUZ473p/w7okSVK74j7tUnMpKoJZs8Lj4uJoa1GbtKa7/uxiqK79mDQGHNAFjuwGGc55kiRJ0jr4T0VpQx54AI4+Onzcf3/U1aiN+bYCrp0dbuW2JrAXZcAvt4RjCtt+YA+CgHEvjSP3mlwOuvcgyirKoi6pDYgDZwOdgMOBldGWI0mSEprT43F6vKTmVxPAS0vgX4vDYwi76wflwxFdIb2Nh/U13v/2fXb52y4ApMRSuO7A67hg+AURV5Xo3gD2a/D1rcBZ0ZQiSZIi4/R4JaaSErjvPujZE0aPhlgs6oqkZjd3dbgy/JyK+rHijHBl+H7Z0dXVErLT6n+geBAnJ92b8zds7f9G/jeTJEnrZmhX64nHYe+9Yfp0CAL45hsYNy7qqqRmUx2HF5fA80sad9cPzofDk6i73tD2hdsz/pDx3DH5DoZvOZwzdj4j6pLagF2BPwL3AAcAJ0ZbjiRJSmhOj8fp8a1m6VLIzw+PYzE46ih4/PFoa5KayZza7vrcBt31HplwahH0SbLuuiRJkjaf0+OVeDp3hkMOgRdeCL8+4YRIy5GaQ3U87Ky/sCRcJR4gJQY/yIfD8iEtCbvrkiRJaj2GdrWeWAz++U946y3o3h0GDIi6ImmzzFod7rv+TYPu+haZ4b3rvbOiq0uSJEnJw9Cu1pWeDvvtt+HzpARWHQ9XhX9paePu+qH5cIjddUmSJDUjQ7skbYSZq8J71+dV1o/1zITTiqGX3XVJkiQ1M0O7EkdZGeTkQJqXZdtUAVQDHaIupEVUxeHZxfDyElizemfqmu561/C4raqJ17C8cjl5WXlRlyJJkqS1OIlTiWHMGMjLgy22gE8/jboabbSXgHwgF7gl4lqa31er4Pez4KUGgX3LLPjNlnB4t7Yd2OeWzaX/zf3p/IfOjH5sNPEgHnVJkiRJasDQvrlqamDyZJg/P+pK2q5vv4WbbgqPFy+Gv/wl2nq0CS4HVgFx4OJoS2lGVXF4vASumw3za6fDp8VgVDe4eEvomQTT4e/84E5mlc4C4LFPH2PKvCkRVyRJkqSGnIe8OYIg3MJswgTIzIRXX4URI6Kuqu3JzQ2nxa9eHf433WKLqCvSRusFvFd73CPKQprNjFXhyvALGty73icrXBm+R2Z0dTW3nrk9iQdxYsRIiaVQ0KEg6pIkSZLUgKF9c3z9dRjYAaqr4Z57DO2bomNHeOmlsNu+9dZw0UVRV6SNdivQFSgHfhtxLZunMg5PL4LXltZPhU+LwRHd4KAu4SrxyeQnO/2EhSsW8v689zl9p9PZMm/LqEuSJElSA7EgCIINn5bcysrKyMvLo7S0lNzc3KY/ccUK6NULSkshHodbb4Wzzmq5QiW1qC9Xht31hVX1Y31ru+vdk6i7LkmSpOg1NYfaad9UQQCnnw5Ll4ZT4y+9FM48M+qqJG2Cijg8tRBeX1Y/ll7bXT8wCbvrkiRJajtciG5TzZgBjz4aHldXw4IFEGvH/7J/7jno0wd22snV3zfWrFnwyiuwalXUlbRLX6yE381sHNi3yob/1wdG5hvY254VwARgTtSFSJIkNQs77ZuqoAA6dAgXT6upCe/Fbs9OPjmcdTBnDowdCy+/HHVFbcM778A++0BVFey4I0yaBBkZUVfVLqyugScXwcRl9WPpMfhRAezX2bDeNq0ChgJfAFnA28CQSCtqugBYDWRHXYgkSUowhvZNlZcHr78Od9wBAwbAeedFXVG0UlLCmQaxGKR5WTXZY4+F6yEAfPghfPZZGN7V7GYsmcEL/3uB4b2Gk5O7M/cugMUN7l3vnw2nFEOhn5m0YVMIAztAJfAkbSO0zwb2Bb4GfgbcDvipkSRJCpmuNscuu4QPwcMPw5gx4YcZ7rPedCNGwJ/+FH7Y0bUr9OsXdUVJaV75PIbcPoTyqkpihaMZtev1FHQoBCAjBY7qBvt2bt93uCSeO4GbgWHAeJrWgd4WyAPKgDgwvMWqa15/JQzuAH8DxgEDoitHak+mTIHzzw9nud16K2y7bdQVSdJ3GNrVPA48EKZNi7qKtufoo+H55+Hjj2H0aOjUKeqKktIH8z6gPK0nbHEKQVoX5i2fR0GHQrbJgVOLoJvd9QTzFWHHGeBjYCBwYROe1xV4H3iCcJr8gS1SXfMrJvyQIUb4v+XOkVYjtSsnnADTp4ef2p5+OvznP1FXJEnfYWiXonbIIeFDLWJVDczK2pvsPhezqmoVqSlp9Ovck+MLYZ/OdtcT0+oGxzFg5UY8d2vgouYtp8WdBywCPgLOJgzxklrFypXhjkBBEB5LUgJyn3Y2Y592SQntk+Vw3wJYVg2rq1cxb/l8duuSx9i++XRNj7o6rd+lwE3ATsDTQH6UxUhKVi++CD/5STg9/sEHw9vWJKmVNDWHGtoxtEvJZmUNPFoC75TVj2WlwI8LYM88u+uSJEmKXlNzqNPjJSWVj5bD/QugtLp+bLsOcHIR5NtdlyRJUhtjaJeUFFbUwCMl8N+1uuujC2F4rt11SZIktU2GdiWXV16BOXPCVdm91aHdmFoOD5RAWYPu+qAOcFIRdLG7LkmSpDbM0K7kceed8LPabaJuugkmT4aUlGhrUotaXg0Pl8B75fVj2bXd9T3srkuSJCkJGNqVPF56KUxpQQBTp8LSpdC1a9RVqYV8UA4PLoDymvqxHTrCiYXQ2e66JEmSkoShXW3f4sXw1lvhNi2PPx6O7bEH5LtFVDIqr4aHSmByg+56TiocVwi7drK7LkmSpORiaI/S0qXQqROk+duwyRYvhkGDYP58yMmBhx6C9HQ45BDTW5IJgjCoP1QCyxt013fsCCcWQZ5/jCRFKR6HJUvCGV7+/0eS1Iy84TcKQQCnnx52gnv2hOnTo66o7XrnnTCwA6xcCd9+Gy5Cl5MTbV1qVmXVcPu38Ld59YG9Qyr8tDuc3cPALiliy5bBkCFQUAB77QWrVkVdkSQpiRjao/DVV3DXXeHxokXw179GW09bNmQIdOwYHqekhP9YUtIIAnivDC6fCVOW148P6QiX94FdXGxOUiJ4/HH46KPw+D//CddYkSSpmdifikJ+PmRlQWVlOJ1uyy2jrqjt2mILmDIFnn8ehg+HYcOirkjNpLQaHlgAHzYI6x1T4fhCGOq965ISSa9e4a9rFkPt2TPaeiRJSSUWBEEQdRFRKysrIy8vj9LSUnJba2/vN9+EW26B7baDX/86vA9bEkEA/y2DRxbCygb3rg/rFC4218mPGiUlor/9DSZMgB/9CI4/PupqJEltQFNzqKGdiEK7pO9YVgUPlMBHDbrrnVLhhCLYuVN0dUmSJEnNrak51J6VpMgFAbxTBo+t1V3fNReOLYCO/k0lSZKkdsp/CkuK1NIquH8BfLKifiw3DU4shJ3srkuSJKmdc/V4qSnuvReOOQb+8Y+oK0kaQQD/KQ1Xhm8Y2HfPDVeGN7BLajNmzIDTToNzz4XFi6OuRpKUZOy0Sxvyn//AqaeGqwI//jj06wf77ht1VW3akiq4bwF82iCsd06DE4tgh47R1SVJm+SII+CLL8LjkhJ47LFo65EkJRVDe1u0eDHMng2DB0Oav4Utbu7c8Nc1azbOmRNdLW1cEMC/S+GJhbA6Xj8+PA+OKYCc1Ohqk6RNNncu1NSEH+7OmhV1NZKkJOP0+LZm6lTo3Rt23hn23x+qq6OuKPkdfjjsvnt4vPPOMGrUZr5gANwLnAe8vZmv1XYsroI/zw33Xl8T2DunwflbwKnFBnZJbdg110BKCmRmwhVXRF2NJCnJuOUbbWzLtwsvhD//OfxEH+DDD2GHHSItqV0IAliyBPLzw07KZnkcOAZIrX3MAHpuboUJKwhg4jJ4chFUNOiuj6jtrmcb1iUlg+XLITUVsrOjrkSS1Ea45Vuy2nHHMLCnpkKHDrDlllFX1D7EYtC1azO92KeEk1xqah+zSNbQvqgS7lkA01fWj3VJg5OLYfsO0dUlSc2uowtySJJahqG9rTnppDBAfvwxnHwydO4cdUWbbs6ccFX2fv3guOOaoYPdVpwE3AwsAoYDu0RbTgsIAnhjWdhdr2zQXd8rD35cAFl21yVJkqQmMbS3NbFYGNzbuspK2GMPmDcP4nFYuhTOOSfqqlpJP2AmMAfoTzhFPnmUVMK98+HLVfVjXdPh5CIYaHddkiRJ2iguRNda5s0LQ+l558GCBZv+OkEAFRXNV1dUSkrgm2/CwJ6SApMmRV1RK+sADCCZAns8gFeWwO9mNg7s+3aG3/ZuG4E9CAIqqpPgz5ckSZKShqG9tRx7LNxxB9x2G5xyyqa9xldfhVPJs7Nh7NhmLa/VbbEFHHBAeJySkhyzB9qxBZVw/Rx4bCFU1S5t2S0dxvWC44vaxnT4b8q+Ydvx25J1VRY/f/bnuEan1IbF4/D44+EtWMnwQbckqV0ztLeWr74KF5CrqYEZMzbtNW66KbwPPAjgL3+BmTObtcRWFYvBCy/AW2/B//4HBx4YdUXaBPEAXl4CV86EGQ266/t1ht/2gW1zIipsE9z6/q18tfQrAP72wd+YtnBaxBVJ2mQXXQTHHAOnngrHHx91NZIkbRbvaW8tV14JP/1p2FXe1D1cCwvDwB6LQVoaJPr2dBuSng4jRkRdhTbRvAq4dwF8tnw1Hy/4hJRYjH23GMTPt8ikfxsK62sUdigkHoSr5qXGUumS1SXiiiRtshdfrD+eMCG6OiRJagaG9tbyk5/AUUeFgXtTw/YFF4R7hX/2GfziF+Ge4VIriwcwYSk8swiqA3hlxit8U/4NsWWv03thjP79H4q6xE1y9rCzmb98PlPnT+WsYWexRe4WUZckaVMddxxceml4/OMfR1uLJEmbKRZ442aTN7VvVhUVUF4O3bq1zvspAVUDVwAfAD8Hjoy2nCb4tgLumQ8zV9eP3T/5BlbOuQVWf0X//P5MP396dAVKEoSz0iZOhJUr4eCDIbUNLKwhSWp3mppDvac9Ch99BD16QEEBnH121NUoMrcDvweeB44G5kZbznrUBPD8YrhqVn1gjwEj8+HSLQNYHd4LfsEeF0RXpCStEYvBvvvCoYca2CVJbZ7T46Nw001QWhoe33Yb/L//F4b41rRsWbiK/SefhAv2nHlm676/gAWEW77V1D6WAD0jrej7zF0N9yyA2Q2668UZcGox9MsGCi7k2O2PIjWWSu/OvSOrU5IkSUpGhvYo9OlTvz95Tg7k5bV+DTfcAM8/H65mf/bZcPjh4TZsakVnAg8DXwKnAYMjrWZtNQG8sBieXxIeQ313/YddIb3BPJ1+XfpFUqMkSZKU7AztUfjVr8Kw/L//wXnnQYcOrV9DPF5/HAThQ61sC+ALoALIiriWxuasDu9dn9Nge+PuGXBaMfTJjq4uSZIkqb0xtEchIwMuuyzaGi64AN57L5wef/HF0DPxpmW3DzESKbBXx+GFJWF3PV77OU5KDA7uAod3hTRXwZAkSZJalaG9vcrPh5dfjroKJZDZq+Hu+fBNg+56j8ywu947cT5XkCRJktoVQ7vUzlXH4bkl8OJa3fVD8+GQfLvrkiRJUpQM7dJmqwHKgc4R17F+1fFqVlSuIC+rfuHDmavCleG/bdBd71nbXe9ld12SJEmKXKQ9tGuuuYZddtmFTp06UVhYyKhRo/jiiy8anRMEAZdffjk9evQgOzubfffdl2nTpjU6p6KigvPPP59u3brRoUMHjjjiCObOTdw9r5VM5gBbAV2A44D4+k+PyOeLPqfnjT3p/IfOnPPcOVTF4cmFcO3s+sCeEgtXhf/1lgZ2SZIkKVFEGtonTpzIueeey7vvvsuECROorq5m5MiRrFixou6c6667jhtvvJHx48fz3nvvUVxczEEHHUR5eXndOWPHjuWpp57i4Ycf5q233mL58uUcfvjh1NTURPFjqV35G7DmA6JHgKnRlbIeN//3ZhatXATArZ+8yIVfLOOlJbBmz4Ats+CSLeHwbk6HlyRJkhJJpNPjX3zxxUZf33XXXRQWFjJ58mT23ntvgiDgz3/+M5dccglHHXUUAPfccw9FRUU8+OCDnHnmmZSWlvL3v/+d++67jwMPPBCA+++/n169evHKK69w8MEHt/rPpfakJ+H0+BiQChRGW8469MztSQ0pxAp+REr+wZQF2WQAqbFwVfiD88NjSZIkSYkloe5pLy0tBSA/Px+Ar7/+mvnz5zNy5Mi6czIzM9lnn314++23OfPMM5k8eTJVVVWNzunRoweDBg3i7bff/t7QXlFRQUVF/U28ZWVlLfUjKemdASwCPqg9Tsyt80YNuYDnq3fn29XVbF84iIzUTHpnhfeu98iMujpJkiRJ65IwoT0IAsaNG8eee+7JoEGDAJg/fz4ARUVFjc4tKipi1qxZdedkZGTQpUuX75yz5vlru+aaa7jiiiua+0dQu5QK/CbqItapMg7/XASvLs1gux77sR2QVnvv+sj88D72tuNfwI3AQOB6IDvaciRJkqRWkDCh/bzzzuOjjz7irbfe+s73YrHGySIIgu+MrW195/z6179m3LhxdV+XlZXRq1evTahaSlxfroR7F0BJZf1Y3yw4tRi6t7nu+hLgKKAamAgUAb+NtCJJkiSpNSREaD///PN55plnePPNN+nZs356cXFxMRB207t37143XlJSUtd9Ly4uprKykqVLlzbqtpeUlDB8+PDvfb/MzEwyM9tcapGapCIOTy2EN5bVLzSXFoMju8GBXdpad32NFUBV7XEKsDjCWiRJkqTWE+k60UEQcN555/Hkk0/y2muv0bdv30bf79u3L8XFxUyYMKFurLKykokTJ9YF8qFDh5Kent7onHnz5vHJJ5+sM7RLyWr6SvjdTHh9WX1g3yobftunLU6Hb6gX4W0IqcDWwLj1ny5JkiQliUg77eeeey4PPvgg//znP+nUqVPdPeh5eXlkZ2cTi8UYO3YsV199Nf3796d///5cffXV5OTkcMIJJ9Sde8YZZ3DBBRfQtWtX8vPzufDCCxk8eHDdavJSsquo3Xf9jWX1Y+kxGNUN9m+z3fW1XQVcScSfNUqSJEmtKtLQfuuttwKw7777Nhq/6667OO200wD41a9+xapVqzjnnHNYunQpu+22Gy+//DKdOnWqO/9Pf/oTaWlpjB49mlWrVnHAAQdw9913k5qa2lo/ihSZz1eE964vrqof2zo7vHe9MCO6ulqGgV2SJEntSywIgmDDpyW3srIy8vLyKC0tJTc3N+pypCZZXQNPLII3l9WPZaTAj7rBfp1hA2s1SpIkSYpQU3NoQixEJ2njfLoC7p0PS6vrx7bJgVOKoCDpuuuSJElS+2Vol9qQVTXw2EL4T2n9WGYKHNUN9ulsdz06K4CVQEHUhUiSJCnJGNqlNuKT5XD/gsbd9QE5cHIRdLO7HqE3gUMJg/uvgaujLUeSJElJxdAuJbiVtd31t9fqrv+4APbKs7sevesJu+wA1wK/BbKiK0eSJElJxdAuJbCPlsMDC2BZg+76wBw4uRi6pkdXlxrqB8QIV7YvBJz2IEmSpOZjaJcS0IoaeLQE3i2rH8tKgWMKYITd9QRzNdABmA9ciNvSSZIkqTkZ2jekpgYuugjeeANOPhnGjIm6IiW5D2vvXS9r0F3fvkN473oXu+sJKAe4KuoiJEmSlKQM7Rvy0ENwww3h8eTJMGIEDBsWbU1KSsur4eESeK+8fiw7BUYXwh65dtclSZKk9sjQviHl5WFaCoLw6+XLo61HSWlKeXjvenlN/djgDnBSEXS2uy5JkiS1W4b2DTn5ZHjySXjrLTjxRNh776grUhIpr+2uv9+gu56TCscWwG521yVJkqR2z9C+IR07woQJUVehJDS5HB5cAMsbdNd37AgnFkGefzIlSZIkYWiXWl1ZNTxUAh/UdtdLK0pJCyo4v08Bu+bG7K5H7mngYqAXcA/QI9JqJEmS1L65N1FzePtt+NnP4JZb6u99l9YSBPBeGVw+sz6wf7H4cx559yIeeHZrHnrn/wzskasAjgO+AF4HLom2HEmSJLV7hvbNVVIC++8Pd90F554Ld98ddUXfLwjghRfg0UehsjLqatqdsmq47Vu4c164BztAx1Qo+d/VMO92qCnn9sm3R1ukgKD2sUbNuk5smk8/Df9OmDt3815HkiRJ7ZbT4zfXN99ARUV4nJoK06dHW8+6XHklXHZZeHzUUfDEE9HW0waVri5l2epl9O7cu8nPCQKYVB4uNreyQf4b1gmOK4SK6bl8/nWMWCzGkOIhLVC1Nk4W8A/gImAL4Heb/lJTpsBuu0FVFeTnw2efQWFh85QpSZKkdsPQvrl22AF+8AN48UXo0gVOPz3qir7fM8/UHz/3XHR1tFETZ07kkAcOYVX1Ks4edja3HHbLBp+zrAoeKIGPGuwS2CkVTiiCnTuFX9948I1s23VbyivLOWvYWS1UvTbOibWPzfTqq2FgB1iyBN5/Hw49dPNfV5IkSe2K0+M3V2oqPP88fP01zJ4N/ftv+mstXhxOtS8shOuua74aAUaNqj/+4Q+b97XbgfHvjaeiOpxRcev7t1JWUbbOc4MA3imFK2Y1Duy7dILL+9QHdoCM1AzO3+18frPXb8jPzm+h6hWJAw+E9PTwuGtX2GWXaOuRJElSm2SnvTnEYtCnz+a/zp/+BG++CTU1cNFFMHr0xr1udXU4Vb9Dh+9+75JLwtBQXg5HHrn5tbYz23bdloCA1FgqBR0K6JD+Pf+NgaVVcP8C+GRF/VhuGpxYCDt1+t6nKFnttBN89BFMmhQG+IKCqCvaOBUV4SdQWVlRVyJJktSuGdoTSUZG/erzsRikbcRvz4cfhsFg0SK4+GK45prG34/F4OCDm6/Wdua3+/yWDukd+Kb8G87f9XxSU1IbfT8I4O0yeLQEVsfrx3fLhWMLoUMqao8GDAgfbc2//hV+aFhdDXfcAaedFnVFkiRJ7VYsCNyjrKysjLy8PEpLS8nNzY2ukPJyOOOMMIBfeGG4jVxTnXIKPPhg2KWH8B7aLl1apk41sqQK7lsAnzboruelwUlFsEPH6OqSNtmOO4azBCCcIVBSEm09kiRJSaipOdROeyLp1Cnckm1T9OgRtntTUqBjR8jJad7a9B1BAG+VwuMLG3fXh+fBMQWQY3ddbVXPnjBtWni8xRbR1iJJktTOGdqTxW9/G05lnTULLrgAMjOjriipLa6Ce+fD5yvrxzqnwclFMMjuutq6v/8dLr00vK/9iiuirkaSJKldc3o8CTQ9XgkvCODNUnhiIVQ06K6PqO2uZ9tdlyRJktQETo+XmtmiSrhnAUxv0F3vkgYnF8P237+YvCRJkiRtFvdplzYgCOD1peG+6w0D+1554b7rBnYpQdx8c3gP/sEHh4txSpIkJQE77dJ6lFSG965/uap+rGt6eO/6QMO6lDjmzoVf/CI8XrAArr8err462pokSZKagaFd+h7xAF5fBk8thKoGqz7s2xl+1A2yEube9Wrg8dpfRwMZ0ZbTXrz0EsyeDT/+sVsrJoqUFIjFwqkxa3bSkCRJSgL+q0Zay4JKuH4OPFpSH9i7pcO4XnB8USIFdoAxwPHAycDpEdfSTtx5J/zgB/Dzn8Nee0E8vuHntBfXXx/u8T5uHNTUtO579+gBt94KffrAoYfChRe27vtLkiS1EFePx9XjFYoH8OpS+Oeixt31/TrDjwogMyE/4toK+Kr2uBuwMMJa2onjjoNHHw27uRBOxS4sjLamRPDf/8Luu9d/ff/9cOKJ0dUjSZKU4JqaQxMyhkitbV4F/HEOPN5gOnxBOlzYC44rStTADnBcg+NjI6uiXTnqqPrAPnw4FBREW0+iWLFi/V9LkiRpk9hpx057exYPYMJSeGYRVNf+SYgB+3eBUd0gI2HD+hoB8DrhPe0H4udwreSDD2DOHBg5ErKzo64mMcTjcOaZ8OCDsM8+8PjjkJMTdVWSJEkJq6k51NCOob29+rYC7pkPM1fXjxVmwGnFsJU5TJIkSVILamoOdfV4tTvxAF5aAv9a3Li7fmAXOLIbpNusliRJkpQgDO1qV+auhnsWwOwG3fXiDDi1GPrZXZckSZKUYAztahdqAnhxCTy3ODyGsLs+Mh9+2NXuuiRJkqTEZGhX0puzOrx3fU5F/Vj32nvX+9hdByqAr4F+QEbEtUiSJElqyNCupFUdhxeWwPNLwvvYAVJicHAXOLwrpNldBxYDuxLu9b4t8F8gL9KKJEmSJNUztCspza7trs9t0F3vkRl213tnRVdX4nmGMLADfAG8QOO93yVJkiRFydCupFIdh+eWhPevN+yuH5IPh+bbXf+uAbW/pgJxYJsIa5EkSZK0NkO7ksbMVeHK8N826K73rO2u97K7vg57AE8DLwGHAztHWo0kSZKkxgztavOq4uGe6y8tgdrmOikxOCwffmB3vQmOrH1IkiRJSjSG9jZhTRSNRVpFIvp6VXjv+rzK+rFetd31nnbXJUmSJLVxhvaE9zRwCuFWXI8C+0daTaKoisMzi2FCg+56aixcFf7g/PBYkiRJkto6Q3vCOx8oJ+yy/x/wYSRVVMermV06m165vUhPTY+kBoDFKxfz5co4z5cXsKBBd713Vthd75EZWWntWxDArFlQWAg5OVFXI0mSJCUN7/ZNeJ0Jf5tSgC6RVFBeUc6Q24ew1U1bsf0t27N01dJI6rj/40cpvPsc9nj5CSbM+QiAtBj8qBtcvKWBPTLxOPzwh9C3L2y5JUyfHnVFkiRJUtIwtCe8h4GRwGHAXZFU8PyXz/NJyScAfLnkS57+/OlWr+HLlXDBF8uId94fiPHBvA/okwWX9oYfdA0XnlNEPv4YnnsuPF62DP7+90jLkdRK3nwTtt4aBgyASZOirkaSpKTl9PiEtz3wQqQVbJ2/NQApsRTiQZz+Xfu32ntXxOHpRfD6UujYoS8lVV8TC6rpW/0BF215mmE9EfToAVlZUFUFNTWwjXu9S+3CGWfAV19BLAZnnglTpkRdkSRJScnQnvAqgIeAdOBYovgtG9pjKE8f+zTPTn+Wg7c6mD233LNV3nf6ynBl+EVV4dd7996bXhnV9K96mytGXGxgTxQFBfDaa3DXXbDDDvCTn0RdkaTWkJYWBvY1x5IkqUXEgiAINnxacisrKyMvL4/S0lJyc3OjLmctxwGP1B6fA/w1wlpaR0UcnlwIbyyrH0uPwahusH8Xp8JLUkKYNAnOOisM7HfeGX5oJ0mSmqypOdSPxhPeKw2OX46sitby+Qq4dwEsrqof2zobTi2Gwozo6pIkrWXXXeGDD6KuQpKkpOdCdAnv+AbHxwFHA1nAj4Gq733GhpRVlLH/PfuTfVU2Z/3rLBJhssXqGnhgAfxpbn1gT4/BsYVwYS8DuyRJkqQkUlUFzz/fpFMN7QnvL4Td9onAIOBJwvvcnwD+uUmveNeUu3hj5husrl7N7ZNv5+05bzdXsZvksxVwxSx4c1n92DY5cFmfcDp8zOnwkiRJkpLJSSfB8cdv+DycHt8GpAAH1B6vvYp8p016xU6ZnQio7653zOi4Sa+zuVbVwOML4a3S+rHMFDiqG+zT2bAuSZIkKUk99VSTT7XT3qb8ALgCGApcSbh/+8Y7ZcdTGLvbWIZ2H8pfD/0rOxbv2Iw1Ns20FXDFzMaBfdsc+G1v2LcFuut3fnAnvf/cm5H3jWThioXN++KSJEmStDEOOqjJp7p6PIm+enxyWVkDjy2Et9fqrv+4APbKa5nu+qKViyi6voh4ECc1lsovdvsFNx58Y/O/kSRJkiQ1xerVlN17L3lnnrnBHGqnvdlUAw/XPqojriUxfbw87K43DOwDa+9d37uz0+ElSZIktRNZWXDccU061dDebM4hXOn9+Nrj6ARBwBeLvmDJqiWR1rHGihq4ax6M/waW1X6ekZUCJxfBmJ7QNb1l379bTjfuOPwOeuf15oC+B/DrPX/dsm+4Ue4GhgFnAaujLUWSJElSwnF6PM01Pb4n8E3t8RbA3OYpbhOc+MSJPPjJg2SlZfHySS+zV++9Iqvlw+Vw/wIoazD5YPsOYWDv0sJhPfF9DWwFBEAMuB4YF2lFkiRJklpHU3OonfZmc8w6jltXyYoSHvzkQQAqayq5ffLtkdSxogb+Pg9u+aY+sGenwKnFcP4WBvbQKqhbxT8GLI+wFkmSJEmJyC3fms0NhKu7AzR9JcDm1jmrM4UdClm8cjE1QQ2DCge1eg1TyuGBBVBeUz82uAOcVASdDesNDAR+BdwM7AScG2k1Upv3yiswfjwMGAC/+x1kZERdkSRJ0mZzejzJt3r8F4u+4Lb3b6Nvl76cu8u5pKaktsr7llfDwyXwfnn9WE4qHFsAu+W60JykFrRkCXTvDlVV4ddXXw0XXxxtTZIkSevR1Bxqpz0JbdttW/70gz+16ntOLoeH1uqu79gRTiyCPK8ySS2ttBQqK8Pj1FSYPz/aeiRJkpqJ97Rrs5RXw+3fwh3f1gf2DqlwRnc4u4eBXVIr6dsXzjsvPO7eHc4/P9p6JEmSmonT40m+6fGtIQjCafAPlYSLzq0xpCOcUAS5hnVJUVi5Mtz3NMXPpCVJUmJz9Xi1mLJquO1buHNefWDvmAo/6w5n9jCwh+bXPtRiKithzBgYMQLuvz/qapQocnIM7JIkKakYr9RkQQCTysPF5lY26K4P7QTHF0Inr6ZadwBn1R7f0uBYzer22+Hmm8ML8513YPhw6Ncv6qokSZKkZmXMUpMsq4IHSuCjBluJd0oNp8Lv3Cm6uhLT1dTvv341hvYWsmxZuCVBEISP8vINPkWSJElqawztWq8ggHfL4NGFjbvru3SC4wqho1fQ99gOmNvgWC3i7LPhmWdg6tTweIcdoq5IkiRJanZGLq3T0iq4fwF8sqJ+LDcNTiiEIXbX1+M+4Lra419FWUhy69YN3nsv6iokSZKkFmVo13cEAbxdBo+WwOp4/fhuuXBsYbilm9anK/CHqIuQEsOqVeFMiP/+F845x63YJEmSNpKhPQnEgzi3vHcLny/6nJ/u/FN2Kt5pk19rSW13fVqD7npeGpxYBDt23PxaJbUzt98O994bfhr4i1/AQQfBgAFRVyVJktRmGNqTwC3v3cL5L5xPaiyVez+8l2/GfUOnzI2bvx4E8FYpPL6wcXd9j1wYXQg5dtclbYqKivoFAyHcqk+SJElNZmhPAp8v+pzUWCo1QQ3lleUsWLFgo0L74iq4bz58trJ+rHManFQEg+2ua2MsWxaGssLCqCtRojjrLHjttXD9gXPPhcGDo65IkiSpTUmJugBtvp/u/FNy0nMAOHLbI9mqy1ZNel4QwMRlcMXMxoF9RB5c1sfAro30z3+GYb2oCK69NupqlCjy8uCll2DJErjyyrDrLkmSpCaLBcGaOYvtV1lZGXl5eZSWlpKbmxt1OQDMWDKD4544jpIVJfzp4D9x1MCj1nt+eUXYYd+qy1bEmvCP4kWVcO8C+KJBWO+SBicXw/YdNrd6tUt77AHvvhseZ2fDypXrP1+SJElqx5qaQ50en6AueuUipsybQk1Qw8lPncyR2x5Jasq6byzvlNmpSVPigwDeWAZPLoLKBveu75UHPy6ALO9d16baZhuYNCnspG7VtNkekiRJktbP0J6gGgb0GM0znbSkEu6dD1+uqh/LT4dTimCg3XVtrptvhu7dobwcfuX+9JIkSVJzMLQnqD8c+Afmlc+jZEUJ14+8fr1d9g0JAnhtGTy1EKoa3AyxT2c4qpvddTWT3FzvZZckSZKamaE9QfXp3Ic3f/LmZr/Ogkq4Zz7MaNBd75YOJxfBALvrkiRJkpTQDO1JKh7Aq0vhn4vC7noQxHlz1pt8NfMf7N+plEuPeRjIjrpMSZIkSdJ6GNqT0PwKuGcBfNWgu75i5Sy++PDnsOpLXpoP9390Pz8b+rPoipQkSZIkbZChPYnEA5iwFJ5ZBNW1967HgP27QFH2Ah5c9WXduR0z3IRdkiRJkhKdoT1JfFsR3rs+c3X9WGEGnFoEW+cA7M4fD/ojD3z0AAf2O5DR24+OqlRJkiRJUhPFgiAINnxacmvqpvaJKB7AS0vgX4sbd9cP7AJHdIOMlEjLkyRJkiR9j6bmUDvtCebdue8yrWQaP9z2hxR2KFzvud/UdtdnNeiuF2XAacXQzzXmJEmSJKnNM7QnkBe+fIFDHzwUgF4Te/H5eZ+Tk57znfNqAnhxCTy3ODyGsLs+Mh9+2BXS7a6rpX39NXTsCAUFUVciSZIkJTXjXQJ5ecbLpMZSAZhTNocvF3/5nXPmroZrZoWLza0J7N0z4KIt4agCA7tawS9/Cf36QY8e8OyzUVcjSZIkJTUjXgI5bJvDCAiT+FZdtmLbbtvWfa86Ds8ugqtmw5yKcCwlBofkwyW9oW9CTIe/BygAdgC++4GDkkBNDdx4Y/3xX/4SbT2SJElSknN6fAI5sN+BTDlzCp8t/IyDtz6YrLQsAGavDu9dn1tRf26PzPDe9d5ZERX7HZXAz2t/XQr8Fngo0orUAlJTYeutYcYMiMdh++2jrkiSJElKaob2BLND0Q7sULQDEHbXn1sS3r8er50Kv6a7fmg+pCXUPIkYkA5U1X6dGWEtalETJoQd9q5dYdy4qKuRJEmSkpqhPUHNWg13zw/3X1+jZ213vVfCdNcbSgceAy4BugPXRFuOWs6WW8INN0RdhSRJktQuGNoTTFU83HP95aWNu+uH5cMPEq67vrZDah+SJEmSpOZgaE8gX68K712fV1k/1qu2u94zIbvrkiRJkqSWZGhPAFVxeGYxTFhC7drxkBqDw7vCwfnhsSRJkiSp/TG0R2xGbXd9QYPueu8sOLUYtmjiWm5PffYUk+dN5rhBxzGocFDLFCpJa3viCZg6FY4/HrbbLupqJEmSklIsCIJgw6clt7KyMvLy8igtLSU3N7dV3rMyDv9cBK8ure+up8Xgh11hZH54H3tTPPXZUxz16FGkxFLISc/hq198RUGHgharW61o1Sr4979hq63Ch5RIHn0Ujj0WUlKgY0eYORO6dIm6KkmSpDajqTnUTnsEvlwJ9y6Akgbd9T5Z4b3r3Tdyp7TJ8yaTEkshHsRZXrmcGUtnGNqTQXU1jBgBU6ZAWhq88grss0/UVUn13n8fUlOhpgbKyuDrrw3tkiRJLSCh1yJvCxYsX8D4SeN5ecbLGzy3Ig6PlMANc+oDe1oMji6Ai7bc+MAOcOz2x5Kdlg3AkOIhDCkesvEvosQzfXoY2AGCAB57LNp6pLWdcAJk1v6ltcsuMHhwtPVIkiQlKTvtm6GiuoLd7tyNWaWzAHjgqAc4YfAJ33vu9JXhveuLqurH+mXDqUVQvAlhfY3BRYP5eszXzFg6gyHFQ8hM+/4XK11dyoylMxhUOIiM1IxNf0O1jj59oLgYFiwIO5l77RV1RVJjO+0Udte/+gp23hnS06OuSJIkKSkZ2jfD3LK5dYE9NZbK61+//p3QXhGHJxfCG8vqx9JjMKob7N+l6feur09Bh4L1Ton/cvGX7HbnbixdvZSdinfinTPeISvNPeQSWk4OvPcePPJIuMDXIYdEXZH0XYWF4UOSJEktxtC+Gfp07sPOxTvzwfwPCAg4erujG33/8xXhveuLG3TXt86GU4qhqBWb3Y9Me4TSilIAps6fyn/n/pd9+nh/dMLr2RMuuCDqKiRJkiRFyNC+GVJTUvn36f/mta9fo1+XfmxXEG55tLoGnlgEby6rPzc9BkcVwH6dIdbK+67vWLQj8SBOaiyV9NR0ts7funULkCRJkiRtErd8o3m3fPustru+pEF3vX9td70wwlvJn/j0Cd6d+y6n7Lgbg4s+A3YGDouuIEmSJElqx5qaQw3tNE9oX1UDTyyEf5fWj2WmwFHdYJ/Ord9d/35LgL7AciAOPA0cGWVBkiRJktQuuU97K5q2Au6bD0ur68e2zYFTiqBbQi3U/iVQVnucAvwXQ7skSZIkJS5D+2ZYWQOPLYS31+qu/7gA9spLlO56QzsBg4GPgUxgdKTVSJIkSZLWz9C+iT5eDvcvgGUNuusDc+DkYuiasNsVZxJ21ycB2wDdoy1HkiRJkrRehvaNtLIGHimBd8vqx7JS4JgCGJGQ3fW1ZQNu9yZJzaK8HP78Z4jHYcwY6Nw56ookSVKSMbRvhA9ru+tlDbrr23eAk4ogP2G765KkFnPaafD00+HxO+/Aiy9GWY0kSUpChvYmWFHbXf9vg+56dgqMLoQ9cttCd12S1CKmTg277AAffhhpKZIkKTmlRF1AoptSDpfPrA/s35Z/y/wFEzghdzrD28R0eElSixk3rv74gguiq0OSJCUt92nn+/fHK6+Gh0vg/fL68xYvn8MTE4+B8kl0SM/hf7/4H8UdiyOqWpKUEGbODLvt/fpFXYkkSWpD3Kd9M0wuh4cWQHlN/diOHWHegkeJlU8iIGBF1QqmlUwztAM8+ST8619wyCFwzDFRVyNJratPn6grkCRJSSxppsffcsst9O3bl6ysLIYOHcq///3vjX6N8mq4/Vu449v6wN4hFc7oDmf3gOMHHkJ2ejYA/br0Y9ctdm3OH6FtmjQJjj4a7rkHRo+G//wn6ookSZIkKWkkRWh/5JFHGDt2LJdccglTpkxhr7324pBDDmH27Nkb9TpXz4IPGkyHH9IRLu8Du9YuNrddwXZ8ef6XvHzSy0w9cyqdMjs17w/SFs2YEf66ZiGmNV9Hbdo0+MEP4PDDE6cmSZIkSdpISXFP+2677cbOO+/MrbfeWjc2cOBARo0axTXXXLPB56+5l+C090vJ6JhLh1Q4oRCGdnKhuQ0qK4Phw8OQPGBAuOVRIuxTvMMOYU2xWFjfm29GXZEkSZIk1Wk397RXVlYyefJkLr744kbjI0eO5O233/7e51RUVFBRUVH3dWlpafhay8vYsSMckw+dgPLy73261vbmm/DNN7DFFpCSEgb5qC1dWt/9X7w4MWqSJEmSpFpltRllQ330Nh/aFy1aRE1NDUVFRY3Gi4qKmD9//vc+55prruGKK674zviD+/biQeD/WqJQRefTTyEvL+oqJEmSJOk7ysvLyVtPXmnzoX2N2Frz2IMg+M7YGr/+9a8Z12Bv3WXLltG7d29mz5693v9YUltWVlZGr169mDNnznqn30htnde62gOvc7UHXudKdkEQUF5eTo8ePdZ7XpsP7d26dSM1NfU7XfWSkpLvdN/XyMzMJDMz8zvjeXl5/oWgpJebm+t1rnbBa13tgde52gOvcyWzpjSN2/zq8RkZGQwdOpQJEyY0Gp8wYQLDhw+PqCpJkiRJkjZfm++0A4wbN46TTz6ZYcOGsccee3DHHXcwe/ZszjrrrKhLkyRJkiRpkyVFaD/22GNZvHgxv/vd75g3bx6DBg3i+eefp3fv3k16fmZmJpdddtn3TpmXkoXXudoLr3W1B17nag+8zqVQUuzTLkmSJElSMmrz97RLkiRJkpSsDO2SJEmSJCUoQ7skSZIkSQnK0C5JkiRJUoJq96H9lltuoW/fvmRlZTF06FD+/e9/R12S1GTXXHMNu+yyC506daKwsJBRo0bxxRdfNDonCAIuv/xyevToQXZ2Nvvuuy/Tpk1rdE5FRQXnn38+3bp1o0OHDhxxxBHMnTu3NX8UqcmuueYaYrEYY8eOrRvzOley+OabbzjppJPo2rUrOTk57LTTTkyePLnu+17rauuqq6u59NJL6du3L9nZ2fTr14/f/e53xOPxunO8zqXG2nVof+SRRxg7diyXXHIJU6ZMYa+99uKQQw5h9uzZUZcmNcnEiRM599xzeffdd5kwYQLV1dWMHDmSFStW1J1z3XXXceONNzJ+/Hjee+89iouLOeiggygvL687Z+zYsTz11FM8/PDDvPXWWyxfvpzDDz+cmpqaKH4saZ3ee+897rjjDnbYYYdG417nSgZLly5lxIgRpKen88ILL/Dpp59yww030Llz57pzvNbV1v3hD3/gtttuY/z48Xz22Wdcd911/PGPf+Tmm2+uO8frXFpL0I7tuuuuwVlnndVobMCAAcHFF18cUUXS5ikpKQmAYOLEiUEQBEE8Hg+Ki4uDa6+9tu6c1atXB3l5ecFtt90WBEEQLFu2LEhPTw8efvjhunO++eabICUlJXjxxRdb9weQ1qO8vDzo379/MGHChGCfffYJxowZEwSB17mSx0UXXRTsueee6/y+17qSwWGHHRacfvrpjcaOOuqo4KSTTgqCwOtc+j7tttNeWVnJ5MmTGTlyZKPxkSNH8vbbb0dUlbR5SktLAcjPzwfg66+/Zv78+Y2u88zMTPbZZ5+663zy5MlUVVU1OqdHjx4MGjTIPwtKKOeeey6HHXYYBx54YKNxr3Mli2eeeYZhw4ZxzDHHUFhYyJAhQ/jb3/5W932vdSWDPffck1dffZXp06cD8OGHH/LWW29x6KGHAl7n0vdJi7qAqCxatIiamhqKiooajRcVFTF//vyIqpI2XRAEjBs3jj333JNBgwYB1F3L33edz5o1q+6cjIwMunTp8p1z/LOgRPHwww/zwQcf8N57733ne17nShZfffUVt956K+PGjeM3v/kNkyZN4he/+AWZmZmccsopXutKChdddBGlpaUMGDCA1NRUampquOqqqzj++OMB/06Xvk+7De1rxGKxRl8HQfCdMaktOO+88/joo4946623vvO9TbnO/bOgRDFnzhzGjBnDyy+/TFZW1jrP8zpXWxePxxk2bBhXX301AEOGDGHatGnceuutnHLKKXXnea2rLXvkkUe4//77efDBB9l+++2ZOnUqY8eOpUePHpx66ql153mdS/Xa7fT4bt26kZqa+p1P40pKSr7zyZ6U6M4//3yeeeYZXn/9dXr27Fk3XlxcDLDe67y4uJjKykqWLl26znOkKE2ePJmSkhKGDh1KWloaaWlpTJw4kZtuuom0tLS669TrXG1d9+7d2W677RqNDRw4sG6BXP9OVzL45S9/ycUXX8xxxx3H4MGDOfnkk/m///s/rrnmGsDrXPo+7Ta0Z2RkMHToUCZMmNBofMKECQwfPjyiqqSNEwQB5513Hk8++SSvvfYaffv2bfT9vn37Ulxc3Og6r6ysZOLEiXXX+dChQ0lPT290zrx58/jkk0/8s6CEcMABB/Dxxx8zderUusewYcM48cQTmTp1Kv369fM6V1IYMWLEd7btnD59Or179wb8O13JYeXKlaSkNI4gqampdVu+eZ1L3yOiBfASwsMPPxykp6cHf//734NPP/00GDt2bNChQ4dg5syZUZcmNcnZZ58d5OXlBW+88UYwb968usfKlSvrzrn22muDvLy84Mknnww+/vjj4Pjjjw+6d+8elJWV1Z1z1llnBT179gxeeeWV4IMPPgj233//YMcddwyqq6uj+LGkDWq4enwQeJ0rOUyaNClIS0sLrrrqquDLL78MHnjggSAnJye4//77687xWldbd+qppwZbbLFF8K9//Sv4+uuvgyeffDLo1q1b8Ktf/aruHK9zqbF2HdqDIAj++te/Br179w4yMjKCnXfeuW6rLKktAL73cdddd9WdE4/Hg8suuywoLi4OMjMzg7333jv4+OOPG73OqlWrgvPOOy/Iz88PsrOzg8MPPzyYPXt2K/80UtOtHdq9zpUsnn322WDQoEFBZmZmMGDAgOCOO+5o9H2vdbV1ZWVlwZgxY4Itt9wyyMrKCvr16xdccsklQUVFRd05XudSY7EgCIIoO/2SJEmSJOn7tdt72iVJkiRJSnSGdkmSJEmSEpShXZIkSZKkBGVolyRJkiQpQRnaJUmSJElKUIZ2SZIkSZISlKFdkiRJkqQEZWiXJEmSJClBGdolSVKzuPzyy9lpp52iLgOA0047jVGjRkVdhiRJm83QLklSgpk/fz5jxoxh6623Jisri6KiIvbcc09uu+02Vq5cGXV5m+Tyyy8nFout9zFz5syNft2ZM2cSi8WYOnVqs9csSVIiSIu6AEmSVO+rr75ixIgRdO7cmauvvprBgwdTXV3N9OnT+cc//kGPHj044ogjvve5VVVVpKent3LFTXPhhRdy1lln1X29yy678POf/5yf/exndWMFBQV1x5WVlWRkZLRqjZIkJSI77ZIkJZBzzjmHtLQ03n//fUaPHs3AgQMZPHgwRx99NM899xw//OEP686NxWLcdtttHHnkkXTo0IHf//73ANx6661stdVWZGRksO2223LffffVPef7OtPLli0jFovxxhtvAPDGG28Qi8V49dVXGTZsGDk5OQwfPpwvvviiUa3XXnstRUVFdOrUiTPOOIPVq1ev8+fq2LEjxcXFdY/U1FQ6depU9/XFF1/M0UcfzTXXXEOPHj3YZptt6n7Gp59+utFrde7cmbvvvhuAvn37AjBkyBBisRj77rtvo3Ovv/56unfvTteuXTn33HOpqqra4O+BJEmJxNAuSVKCWLx4MS+//DLnnnsuHTp0+N5zYrFYo68vu+wyjjzySD7++GNOP/10nnrqKcaMGcMFF1zAJ598wplnnslPfvITXn/99Y2u55JLLuGGG27g/fffJy0tjdNPP73ue48++iiXXXYZV111Fe+//z7du3fnlltu2ej3aOjVV1/ls88+Y8KECfzrX/9q0nMmTZoEwCuvvMK8efN48skn6773+uuvM2PGDF5//XXuuece7r777rqwL0lSW+H0eEmSEsT//vc/giBg2223bTTerVu3ui72ueeeyx/+8Ie6751wwgmNwvQJJ5zAaaedxjnnnAPAuHHjePfdd7n++uvZb7/9Nqqeq666in322QeAiy++mMMOO4zVq1eTlZXFn//8Z04//XR++tOfAvD73/+eV155Zb3d9g3p0KEDd95550ZNi18zpb5r164UFxc3+l6XLl0YP348qampDBgwgMMOO4xXX3210ZR8SZISnZ12SZISzNrd9EmTJjF16lS23357KioqGn1v2LBhjb7+7LPPGDFiRKOxESNG8Nlnn210HTvssEPdcffu3QEoKSmpe5899tij0flrf72xBg8e3Kz3sW+//fakpqbWfd29e/e6+iVJaivstEuSlCC23nprYrEYn3/+eaPxfv36AZCdnf2d53zfNPq1Q38QBHVjKSkpdWNrrOs+74aL2q15fjwe3+DPsanW9bM0rBXWXe/a1l6ULxaLtWj9kiS1BDvtkiQliK5du3LQQQcxfvx4VqxYsUmvMXDgQN56661GY2+//TYDBw4E6qeTz5s3r+77m7Jd2sCBA3n33Xcbja39dXMoKChoVOuXX37ZaNu7NZ35mpqaZn9vSZISgZ12SZISyC233MKIESMYNmwYl19+OTvssAMpKSm89957fP755wwdOnS9z//lL3/J6NGj2XnnnTnggAN49tlnefLJJ3nllVeAsFu/++67c+2119KnTx8WLVrEpZdeutF1jhkzhlNPPZVhw4ax55578sADDzBt2rS6WQHNZf/992f8+PHsvvvuxONxLrrookYd9MLCQrKzs3nxxRfp2bMnWVlZ5OXlNWsNkiRFyU67JEkJZKuttmLKlCkceOCB/PrXv2bHHXdk2LBh3HzzzVx44YVceeWV633+qFGj+Mtf/sIf//hHtt9+e26//XbuuuuuRluh/eMf/6Cqqophw4YxZsyYuq3iNsaxxx7Lb3/7Wy666CKGDh3KrFmzOPvsszf6dTbkhhtuoFevXuy9996ccMIJXHjhheTk5NR9Py0tjZtuuonbb7+dHj16cOSRRzZ7DZIkRSkWrH2jmCRJkiRJSgh22iVJkiRJSlCGdkmSJEmSEpShXZIkSZKkBGVolyRJkiQpQRnaJUmSJElKUIZ2SZIkSZISlKFdkiRJkqQEZWiXJEmSJClBGdolSZIkSUpQhnZJkiRJkhKUoV2SJEmSpAT1/wH+zW2IIxen1wAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Set the random seed\n", + "\n", + "random.seed(42)\n", + "\n", + "# Run our TestRunner\n", + "\n", + "TestRunner(random_predictor).run()" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "id": "97451c73-9c1b-43a8-b3b9-9c41942e48a2", + "metadata": {}, + "outputs": [], + "source": [ + "# That was fun!\n", + "# We can do better - here's another rather trivial model\n", + "\n", + "training_prices = [item.price for item in train]\n", + "training_average = sum(training_prices) / len(training_prices)\n", + "\n", + "def constant_predictor(prompt):\n", + " return training_average" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "id": "8cf384eb-30c2-40d8-b7e5-48942ac6a969", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[91m1: Guess: $220.46 Truth: $374.41 Error: $153.95 SLE: 0.28 Item: OEM AC Compressor w/A/C Repair Kit For F...\u001b[0m\n", + "\u001b[92m2: Guess: $220.46 Truth: $225.11 Error: $4.65 SLE: 0.00 Item: Motorcraft YB3125 Fan Clutch\u001b[0m\n", + "\u001b[91m3: Guess: $220.46 Truth: $61.68 Error: $158.78 SLE: 1.59 Item: Dorman 603-159 Front Washer Fluid Reserv...\u001b[0m\n", + "\u001b[91m4: Guess: $220.46 Truth: $599.99 Error: $379.53 SLE: 1.00 Item: HP Premium 17.3-inch HD Plus Touchscreen...\u001b[0m\n", + "\u001b[91m5: Guess: $220.46 Truth: $16.99 Error: $203.47 SLE: 6.30 Item: 5-Position Super Switch Pickup Selector ...\u001b[0m\n", + "\u001b[91m6: Guess: $220.46 Truth: $31.99 Error: $188.47 SLE: 3.63 Item: Horror Bookmarks, Resin Horror Bookmarks...\u001b[0m\n", + "\u001b[91m7: Guess: $220.46 Truth: $101.79 Error: $118.67 SLE: 0.59 Item: SK6241 - Stinger 4 Gauge 6000 Series Pow...\u001b[0m\n", + "\u001b[93m8: Guess: $220.46 Truth: $289.00 Error: $68.54 SLE: 0.07 Item: Godox ML60Bi LED Light Kit, Handheld LED...\u001b[0m\n", + "\u001b[91m9: Guess: $220.46 Truth: $635.86 Error: $415.40 SLE: 1.12 Item: Randall RG75DG3PLUS G3 Plus 100-Watt Com...\u001b[0m\n", + "\u001b[91m10: Guess: $220.46 Truth: $65.99 Error: $154.47 SLE: 1.43 Item: HOLDWILL 6 Pack LED Shop Light, 4FT 24W ...\u001b[0m\n", + "\u001b[92m11: Guess: $220.46 Truth: $254.21 Error: $33.75 SLE: 0.02 Item: Viking Horns V103C/1005ATK 3 Gallon Air ...\u001b[0m\n", + "\u001b[91m12: Guess: $220.46 Truth: $412.99 Error: $192.53 SLE: 0.39 Item: CURT 70110 Custom Tow Bar Base Plate Bra...\u001b[0m\n", + "\u001b[92m13: Guess: $220.46 Truth: $205.50 Error: $14.96 SLE: 0.00 Item: 10-Pack Solar HAMMERED BRONZE Finish Pos...\u001b[0m\n", + "\u001b[92m14: Guess: $220.46 Truth: $248.23 Error: $27.77 SLE: 0.01 Item: COSTWAY Electric Tumble Dryer, Sliver\u001b[0m\n", + "\u001b[91m15: Guess: $220.46 Truth: $399.00 Error: $178.54 SLE: 0.35 Item: FREE SIGNAL TV Transit 32\" 12 Volt DC Po...\u001b[0m\n", + "\u001b[91m16: Guess: $220.46 Truth: $373.94 Error: $153.48 SLE: 0.28 Item: Bilstein 5100 Monotube Gas Shock Set com...\u001b[0m\n", + "\u001b[91m17: Guess: $220.46 Truth: $92.89 Error: $127.57 SLE: 0.74 Item: Sangean K-200 Multi-Function Upright AM/...\u001b[0m\n", + "\u001b[91m18: Guess: $220.46 Truth: $51.99 Error: $168.47 SLE: 2.05 Item: Charles Leonard Magnetic Lapboard Class ...\u001b[0m\n", + "\u001b[93m19: Guess: $220.46 Truth: $179.00 Error: $41.46 SLE: 0.04 Item: Gigabyte AMD Radeon HD 7870 2 GB GDDR5 D...\u001b[0m\n", + "\u001b[91m20: Guess: $220.46 Truth: $19.42 Error: $201.04 SLE: 5.68 Item: 3dRose LLC 8 x 8 x 0.25 Inches Bull Terr...\u001b[0m\n", + "\u001b[91m21: Guess: $220.46 Truth: $539.95 Error: $319.49 SLE: 0.80 Item: ROKINON 85mm F1.4 Auto Focus Full Frame ...\u001b[0m\n", + "\u001b[93m22: Guess: $220.46 Truth: $147.67 Error: $72.79 SLE: 0.16 Item: AUTOSAVER88 Headlight Assembly Compatibl...\u001b[0m\n", + "\u001b[91m23: Guess: $220.46 Truth: $24.99 Error: $195.47 SLE: 4.59 Item: ASI NAUTICAL 2.5 Inches Opera Glasses Bi...\u001b[0m\n", + "\u001b[93m24: Guess: $220.46 Truth: $149.00 Error: $71.46 SLE: 0.15 Item: Behringer TUBE OVERDRIVE TO100 Authentic...\u001b[0m\n", + "\u001b[91m25: Guess: $220.46 Truth: $16.99 Error: $203.47 SLE: 6.30 Item: Fun Express Insect Finger Puppets - 24 f...\u001b[0m\n", + "\u001b[91m26: Guess: $220.46 Truth: $7.99 Error: $212.47 SLE: 10.27 Item: WAFJAMF Roller Stamp Identity Theft Stam...\u001b[0m\n", + "\u001b[92m27: Guess: $220.46 Truth: $199.99 Error: $20.47 SLE: 0.01 Item: Capulina Tiffany Floor Lamp 2-Light 16\" ...\u001b[0m\n", + "\u001b[92m28: Guess: $220.46 Truth: $251.45 Error: $30.99 SLE: 0.02 Item: Apple Watch Series 6 (GPS, 44mm) - Space...\u001b[0m\n", + "\u001b[92m29: Guess: $220.46 Truth: $231.62 Error: $11.16 SLE: 0.00 Item: ICON 01725 Tandem Axle Fender Skirt FS17...\u001b[0m\n", + "\u001b[91m30: Guess: $220.46 Truth: $135.00 Error: $85.46 SLE: 0.24 Item: SanDisk 128GB Ultra (10 Pack) MicroSD Cl...\u001b[0m\n", + "\u001b[93m31: Guess: $220.46 Truth: $356.62 Error: $136.16 SLE: 0.23 Item: Velvac 2020,L,C/Hr,W,E2003,102\",Bk - 715...\u001b[0m\n", + "\u001b[92m32: Guess: $220.46 Truth: $257.99 Error: $37.53 SLE: 0.02 Item: TCMT Passenger Backrest Sissy Bar & Lugg...\u001b[0m\n", + "\u001b[91m33: Guess: $220.46 Truth: $27.99 Error: $192.47 SLE: 4.13 Item: Alnicov 63.5MM Brass Tremolo Block,Tremo...\u001b[0m\n", + "\u001b[93m34: Guess: $220.46 Truth: $171.20 Error: $49.26 SLE: 0.06 Item: Subaru Forester Outback Legacy OEM Engin...\u001b[0m\n", + "\u001b[92m35: Guess: $220.46 Truth: $225.00 Error: $4.54 SLE: 0.00 Item: Richmond Auto Upholstery - 2012 Dodge Ra...\u001b[0m\n", + "\u001b[91m36: Guess: $220.46 Truth: $105.00 Error: $115.46 SLE: 0.54 Item: AP-39 Automotive Paint Primer Grey 2K Ur...\u001b[0m\n", + "\u001b[93m37: Guess: $220.46 Truth: $299.99 Error: $79.53 SLE: 0.09 Item: Road Top Wireless Carplay Retrofit Kit D...\u001b[0m\n", + "\u001b[91m38: Guess: $220.46 Truth: $535.09 Error: $314.63 SLE: 0.78 Item: Gibson Performance Exhaust 5658 Aluminiz...\u001b[0m\n", + "\u001b[91m39: Guess: $220.46 Truth: $12.33 Error: $208.13 SLE: 7.90 Item: Bella Tunno Happy Links - Baby Montessor...\u001b[0m\n", + "\u001b[91m40: Guess: $220.46 Truth: $84.99 Error: $135.47 SLE: 0.89 Item: CANMORE H300 Handheld GPS Golf Device, S...\u001b[0m\n", + "\u001b[91m41: Guess: $220.46 Truth: $15.99 Error: $204.47 SLE: 6.59 Item: DCPOWER AC Adapter Compatible Replacemen...\u001b[0m\n", + "\u001b[91m42: Guess: $220.46 Truth: $62.44 Error: $158.02 SLE: 1.56 Item: Sharp, VX2128V, Commercial Desktop Calcu...\u001b[0m\n", + "\u001b[91m43: Guess: $220.46 Truth: $82.99 Error: $137.47 SLE: 0.94 Item: Melissa & Doug Lifelike Plush Stork Gian...\u001b[0m\n", + "\u001b[91m44: Guess: $220.46 Truth: $599.95 Error: $379.49 SLE: 1.00 Item: Sony SSCS8 2-Way 3-Driver Center Channel...\u001b[0m\n", + "\u001b[92m45: Guess: $220.46 Truth: $194.99 Error: $25.47 SLE: 0.01 Item: ASUS Chromebook CX1, 14\" Full HD NanoEdg...\u001b[0m\n", + "\u001b[93m46: Guess: $220.46 Truth: $344.95 Error: $124.49 SLE: 0.20 Item: FiiO X7 32GB Hi-Res Lossless Music Playe...\u001b[0m\n", + "\u001b[91m47: Guess: $220.46 Truth: $37.99 Error: $182.47 SLE: 3.02 Item: TORRO Leather Case Compatible with iPhon...\u001b[0m\n", + "\u001b[92m48: Guess: $220.46 Truth: $224.35 Error: $3.89 SLE: 0.00 Item: Universal Air Conditioner KT 1031 A/C Co...\u001b[0m\n", + "\u001b[91m49: Guess: $220.46 Truth: $814.00 Error: $593.54 SLE: 1.70 Item: Street Series Stainless Performance Cat-...\u001b[0m\n", + "\u001b[91m50: Guess: $220.46 Truth: $439.88 Error: $219.42 SLE: 0.47 Item: Lenovo IdeaPad 3 14-inch Laptop, 14.0-in...\u001b[0m\n", + "\u001b[93m51: Guess: $220.46 Truth: $341.43 Error: $120.97 SLE: 0.19 Item: Access Bed Covers TonnoSport 22050219 - ...\u001b[0m\n", + "\u001b[91m52: Guess: $220.46 Truth: $46.78 Error: $173.68 SLE: 2.35 Item: G.I. JOE Hasbro 3 3/4\" Wave 5 Action Fig...\u001b[0m\n", + "\u001b[93m53: Guess: $220.46 Truth: $171.44 Error: $49.02 SLE: 0.06 Item: T&S Brass B-0232-BST Double Pantry Fauce...\u001b[0m\n", + "\u001b[91m54: Guess: $220.46 Truth: $458.00 Error: $237.54 SLE: 0.53 Item: ZTUOAUMA Fuel Injection Pump 3090942 309...\u001b[0m\n", + "\u001b[91m55: Guess: $220.46 Truth: $130.75 Error: $89.71 SLE: 0.27 Item: 2AP18AA#ABA Hp Prime Graphing Calculator...\u001b[0m\n", + "\u001b[91m56: Guess: $220.46 Truth: $83.81 Error: $136.65 SLE: 0.92 Item: Lowrance 000-0119-83 Nmea 2000 25' Exten...\u001b[0m\n", + "\u001b[91m57: Guess: $220.46 Truth: $386.39 Error: $165.93 SLE: 0.31 Item: Jeep Genuine Accessories 82213051 Hood L...\u001b[0m\n", + "\u001b[93m58: Guess: $220.46 Truth: $169.00 Error: $51.46 SLE: 0.07 Item: GODOX CB-06 Hard Carrying Case with Whee...\u001b[0m\n", + "\u001b[91m59: Guess: $220.46 Truth: $17.95 Error: $202.51 SLE: 6.04 Item: Au-Tomotive Gold, INC. Ford Black Valet ...\u001b[0m\n", + "\u001b[92m60: Guess: $220.46 Truth: $269.00 Error: $48.54 SLE: 0.04 Item: Snailfly Black Roof Rack Rail + Cross Ba...\u001b[0m\n", + "\u001b[91m61: Guess: $220.46 Truth: $77.77 Error: $142.69 SLE: 1.07 Item: KING SHA Anti Glare LED Track Lighting H...\u001b[0m\n", + "\u001b[91m62: Guess: $220.46 Truth: $88.99 Error: $131.47 SLE: 0.81 Item: APS Compatible with Chevy Silverado 1500...\u001b[0m\n", + "\u001b[93m63: Guess: $220.46 Truth: $364.41 Error: $143.95 SLE: 0.25 Item: Wilwood Engineering 14011291R Brake Cali...\u001b[0m\n", + "\u001b[91m64: Guess: $220.46 Truth: $127.03 Error: $93.43 SLE: 0.30 Item: ACDelco Gold 336-1925A Starter, Remanufa...\u001b[0m\n", + "\u001b[91m65: Guess: $220.46 Truth: $778.95 Error: $558.49 SLE: 1.59 Item: UWS EC10783 69-Inch Matte Black Heavy-Wa...\u001b[0m\n", + "\u001b[92m66: Guess: $220.46 Truth: $206.66 Error: $13.80 SLE: 0.00 Item: Dell Latitude E5440 14in Business Laptop...\u001b[0m\n", + "\u001b[91m67: Guess: $220.46 Truth: $35.94 Error: $184.52 SLE: 3.21 Item: (Plug and Play) Spare Tire Brake Light W...\u001b[0m\n", + "\u001b[93m68: Guess: $220.46 Truth: $149.00 Error: $71.46 SLE: 0.15 Item: The Ultimate Roadside Rescue Assistant\u001b[0m\n", + "\u001b[92m69: Guess: $220.46 Truth: $251.98 Error: $31.52 SLE: 0.02 Item: Brand New 18\" x 8.5\" Replacement Wheel f...\u001b[0m\n", + "\u001b[93m70: Guess: $220.46 Truth: $160.00 Error: $60.46 SLE: 0.10 Item: Headlight Headlamp LH Left & RH Right Pa...\u001b[0m\n", + "\u001b[91m71: Guess: $220.46 Truth: $39.99 Error: $180.47 SLE: 2.85 Item: Lilo And Stitch Deluxe Oversize Print La...\u001b[0m\n", + "\u001b[93m72: Guess: $220.46 Truth: $362.41 Error: $141.95 SLE: 0.25 Item: AC Compressor & A/C Clutch For Hyundai A...\u001b[0m\n", + "\u001b[93m73: Guess: $220.46 Truth: $344.00 Error: $123.54 SLE: 0.20 Item: House Of Troy PIN475-AB Pinnacle Collect...\u001b[0m\n", + "\u001b[91m74: Guess: $220.46 Truth: $25.09 Error: $195.37 SLE: 4.57 Item: Juno T29 WH Floating Electrical Feed Sin...\u001b[0m\n", + "\u001b[93m75: Guess: $220.46 Truth: $175.95 Error: $44.51 SLE: 0.05 Item: Sherman GO-PARTS - for 2013-2016 Toyota ...\u001b[0m\n", + "\u001b[91m76: Guess: $220.46 Truth: $132.64 Error: $87.82 SLE: 0.26 Item: Roland RPU-3 Electronic Keyboard Pedal o...\u001b[0m\n", + "\u001b[91m77: Guess: $220.46 Truth: $422.99 Error: $202.53 SLE: 0.42 Item: Rockland VMI14 12,000 Pound 12 Volt DC E...\u001b[0m\n", + "\u001b[93m78: Guess: $220.46 Truth: $146.48 Error: $73.98 SLE: 0.17 Item: Max Advanced Brakes Elite XDS Front Cros...\u001b[0m\n", + "\u001b[93m79: Guess: $220.46 Truth: $156.83 Error: $63.63 SLE: 0.11 Item: Quality-Built 11030 Premium Quality Alte...\u001b[0m\n", + "\u001b[92m80: Guess: $220.46 Truth: $251.99 Error: $31.53 SLE: 0.02 Item: Lucida LG-510 Student Classical Guitar, ...\u001b[0m\n", + "\u001b[91m81: Guess: $220.46 Truth: $940.33 Error: $719.87 SLE: 2.09 Item: Longacre 52-79800 Aluminum Turn Plates\u001b[0m\n", + "\u001b[91m82: Guess: $220.46 Truth: $52.99 Error: $167.47 SLE: 1.99 Item: Motion Pro 08-0380 Adjustable Torque Wre...\u001b[0m\n", + "\u001b[92m83: Guess: $220.46 Truth: $219.95 Error: $0.51 SLE: 0.00 Item: Glyph Thunderbolt 3 NVMe Dock (0 GB)\u001b[0m\n", + "\u001b[91m84: Guess: $220.46 Truth: $441.03 Error: $220.57 SLE: 0.48 Item: TOYO Open Country MT Performance Radial ...\u001b[0m\n", + "\u001b[93m85: Guess: $220.46 Truth: $168.98 Error: $51.48 SLE: 0.07 Item: Razer Seiren X USB Streaming Microphone ...\u001b[0m\n", + "\u001b[91m86: Guess: $220.46 Truth: $2.49 Error: $217.97 SLE: 17.23 Item: Happy Birthday to Dad From Your Daughter...\u001b[0m\n", + "\u001b[91m87: Guess: $220.46 Truth: $98.62 Error: $121.84 SLE: 0.64 Item: Little Tikes My Real Jam First Concert S...\u001b[0m\n", + "\u001b[92m88: Guess: $220.46 Truth: $256.95 Error: $36.49 SLE: 0.02 Item: Studio M Peace and Harmony Art Pole Comm...\u001b[0m\n", + "\u001b[91m89: Guess: $220.46 Truth: $30.99 Error: $189.47 SLE: 3.74 Item: MyVolts 12V Power Supply Adaptor Compati...\u001b[0m\n", + "\u001b[91m90: Guess: $220.46 Truth: $569.84 Error: $349.38 SLE: 0.90 Item: Dell Latitude 7212 Rugged Extreme Tablet...\u001b[0m\n", + "\u001b[93m91: Guess: $220.46 Truth: $177.99 Error: $42.47 SLE: 0.05 Item: Covermates Contour Fit Car Cover - Light...\u001b[0m\n", + "\u001b[91m92: Guess: $220.46 Truth: $997.99 Error: $777.53 SLE: 2.27 Item: Westin 57-4025 Black HDX Grille Guard fi...\u001b[0m\n", + "\u001b[92m93: Guess: $220.46 Truth: $219.00 Error: $1.46 SLE: 0.00 Item: Fieldpiece JL2 Job Link Wireless App Tra...\u001b[0m\n", + "\u001b[92m94: Guess: $220.46 Truth: $225.55 Error: $5.09 SLE: 0.00 Item: hansgrohe Talis S Modern Premium Easy Cl...\u001b[0m\n", + "\u001b[91m95: Guess: $220.46 Truth: $495.95 Error: $275.49 SLE: 0.65 Item: G-Technology G-SPEED eS PRO High-Perform...\u001b[0m\n", + "\u001b[91m96: Guess: $220.46 Truth: $942.37 Error: $721.91 SLE: 2.10 Item: DreamLine SHDR-1960723L-01 Shower Door, ...\u001b[0m\n", + "\u001b[91m97: Guess: $220.46 Truth: $1.94 Error: $218.52 SLE: 18.68 Item: Sanctuary Square Backplate Finish: Oiled...\u001b[0m\n", + "\u001b[93m98: Guess: $220.46 Truth: $284.34 Error: $63.88 SLE: 0.06 Item: Pelican Protector 1750 Long Case - Multi...\u001b[0m\n", + "\u001b[93m99: Guess: $220.46 Truth: $171.90 Error: $48.56 SLE: 0.06 Item: Brock Replacement Driver and Passenger H...\u001b[0m\n", + "\u001b[93m100: Guess: $220.46 Truth: $144.99 Error: $75.47 SLE: 0.17 Item: Carlinkit Ai Box Mini, Android 11, Multi...\u001b[0m\n", + "\u001b[91m101: Guess: $220.46 Truth: $470.47 Error: $250.01 SLE: 0.57 Item: StarDot NetCamLIVE2 YouTube Live Stream ...\u001b[0m\n", + "\u001b[91m102: Guess: $220.46 Truth: $66.95 Error: $153.51 SLE: 1.40 Item: Atomic Compatible FILXXCAR0016 16x25x5 M...\u001b[0m\n", + "\u001b[91m103: Guess: $220.46 Truth: $117.00 Error: $103.46 SLE: 0.40 Item: Bandai Awakening of S. H. s.h.figuarts s...\u001b[0m\n", + "\u001b[93m104: Guess: $220.46 Truth: $172.14 Error: $48.32 SLE: 0.06 Item: Fit System 62135G Passenger Side Towing ...\u001b[0m\n", + "\u001b[91m105: Guess: $220.46 Truth: $392.74 Error: $172.28 SLE: 0.33 Item: Black Horse Black Aluminum Exceed Runnin...\u001b[0m\n", + "\u001b[91m106: Guess: $220.46 Truth: $16.99 Error: $203.47 SLE: 6.30 Item: Dearsun Twinkle Star Color Night Light P...\u001b[0m\n", + "\u001b[91m107: Guess: $220.46 Truth: $1.34 Error: $219.12 SLE: 20.70 Item: Pokemon - Gallade Spirit Link (83/108) -...\u001b[0m\n", + "\u001b[93m108: Guess: $220.46 Truth: $349.98 Error: $129.52 SLE: 0.21 Item: Ibanez GA34STCE-NT GIO Series Classical ...\u001b[0m\n", + "\u001b[91m109: Guess: $220.46 Truth: $370.71 Error: $150.25 SLE: 0.27 Item: Set 2 Heavy Duty 12-16.5 12x16.5 12 Ply ...\u001b[0m\n", + "\u001b[91m110: Guess: $220.46 Truth: $65.88 Error: $154.58 SLE: 1.43 Item: Hairpin Table Legs 28\" Heavy Duty Hairpi...\u001b[0m\n", + "\u001b[92m111: Guess: $220.46 Truth: $229.99 Error: $9.53 SLE: 0.00 Item: Marada Racing Seat with Adjustable Slide...\u001b[0m\n", + "\u001b[91m112: Guess: $220.46 Truth: $9.14 Error: $211.32 SLE: 9.51 Item: Remington Industries 24UL1007STRWHI25 24...\u001b[0m\n", + "\u001b[92m113: Guess: $220.46 Truth: $199.00 Error: $21.46 SLE: 0.01 Item: Acer S3-391-6046 13.3-inch Ultrabook, In...\u001b[0m\n", + "\u001b[91m114: Guess: $220.46 Truth: $109.99 Error: $110.47 SLE: 0.48 Item: ICBEAMER 7\" RGB LED Headlights Bulb Halo...\u001b[0m\n", + "\u001b[91m115: Guess: $220.46 Truth: $570.42 Error: $349.96 SLE: 0.90 Item: R1 Concepts Front Rear Brakes and Rotors...\u001b[0m\n", + "\u001b[93m116: Guess: $220.46 Truth: $279.99 Error: $59.53 SLE: 0.06 Item: Camplux 2.64 GPM Tankless , Outdoor Port...\u001b[0m\n", + "\u001b[91m117: Guess: $220.46 Truth: $30.99 Error: $189.47 SLE: 3.74 Item: KNOKLOCK 10 Pack 3.75 Inch(96mm) Kitchen...\u001b[0m\n", + "\u001b[91m118: Guess: $220.46 Truth: $31.99 Error: $188.47 SLE: 3.63 Item: Valley Enterprises Yaesu USB FTDI CT-62 ...\u001b[0m\n", + "\u001b[91m119: Guess: $220.46 Truth: $15.90 Error: $204.56 SLE: 6.62 Item: G9 LED Light Bulbs,8W,75W 100W replaceme...\u001b[0m\n", + "\u001b[91m120: Guess: $220.46 Truth: $45.99 Error: $174.47 SLE: 2.40 Item: ZCHAOZ 4 Lights Antique White Farmhouse ...\u001b[0m\n", + "\u001b[91m121: Guess: $220.46 Truth: $113.52 Error: $106.94 SLE: 0.43 Item: Honeywell TH8320R1003 Honeywell VisionPr...\u001b[0m\n", + "\u001b[91m122: Guess: $220.46 Truth: $516.99 Error: $296.53 SLE: 0.72 Item: Patriot Exhaust H8013-1 1-7/8\" Clippster...\u001b[0m\n", + "\u001b[92m123: Guess: $220.46 Truth: $196.99 Error: $23.47 SLE: 0.01 Item: Fitrite Autopart New Front Left Driver S...\u001b[0m\n", + "\u001b[91m124: Guess: $220.46 Truth: $46.55 Error: $173.91 SLE: 2.37 Item: Technical Precision Replacement for GE G...\u001b[0m\n", + "\u001b[93m125: Guess: $220.46 Truth: $356.99 Error: $136.53 SLE: 0.23 Item: Covercraft Carhartt SeatSaver Front Row ...\u001b[0m\n", + "\u001b[93m126: Guess: $220.46 Truth: $319.95 Error: $99.49 SLE: 0.14 Item: Sennheiser SD Pro 2 (506008) - Double-Si...\u001b[0m\n", + "\u001b[91m127: Guess: $220.46 Truth: $96.06 Error: $124.40 SLE: 0.68 Item: Hitachi MAF0110 Mass Air Flow Sensor\u001b[0m\n", + "\u001b[92m128: Guess: $220.46 Truth: $190.99 Error: $29.47 SLE: 0.02 Item: AmScope SE305R-P-LED-PS36A 10X-30X LED C...\u001b[0m\n", + "\u001b[92m129: Guess: $220.46 Truth: $257.95 Error: $37.49 SLE: 0.02 Item: Front Left Driver Side Window Regulator ...\u001b[0m\n", + "\u001b[91m130: Guess: $220.46 Truth: $62.95 Error: $157.51 SLE: 1.54 Item: Premium Replica Hubcap Set, Fits Nissan ...\u001b[0m\n", + "\u001b[91m131: Guess: $220.46 Truth: $47.66 Error: $172.80 SLE: 2.30 Item: Excellerations Phonics Spelling Game for...\u001b[0m\n", + "\u001b[92m132: Guess: $220.46 Truth: $226.99 Error: $6.53 SLE: 0.00 Item: RC4WD BigDog Dual Axle Scale Car/Truck T...\u001b[0m\n", + "\u001b[93m133: Guess: $220.46 Truth: $359.95 Error: $139.49 SLE: 0.24 Item: Unknown Stage 2 Clutch Kit - Low Altitud...\u001b[0m\n", + "\u001b[91m134: Guess: $220.46 Truth: $78.40 Error: $142.06 SLE: 1.05 Item: 2002-2008 Dodge Ram 1500 Mopar 4X4 Emble...\u001b[0m\n", + "\u001b[93m135: Guess: $220.46 Truth: $172.77 Error: $47.69 SLE: 0.06 Item: Pro Comp Alloys Series 89 Wheel with Pol...\u001b[0m\n", + "\u001b[93m136: Guess: $220.46 Truth: $316.45 Error: $95.99 SLE: 0.13 Item: Detroit Axle - Front Rear Strut & Coil S...\u001b[0m\n", + "\u001b[91m137: Guess: $220.46 Truth: $87.99 Error: $132.47 SLE: 0.83 Item: ECCPP Rear Wheel Axle Replacement fit fo...\u001b[0m\n", + "\u001b[92m138: Guess: $220.46 Truth: $226.63 Error: $6.17 SLE: 0.00 Item: Dell Latitude E6520 Intel i7-2720QM 2.20...\u001b[0m\n", + "\u001b[91m139: Guess: $220.46 Truth: $31.49 Error: $188.97 SLE: 3.68 Item: F FIERCE CYCLE 251pcs Black Universal Mo...\u001b[0m\n", + "\u001b[92m140: Guess: $220.46 Truth: $196.00 Error: $24.46 SLE: 0.01 Item: Flash Furniture 4 Pk. HERCULES Series 88...\u001b[0m\n", + "\u001b[91m141: Guess: $220.46 Truth: $78.40 Error: $142.06 SLE: 1.05 Item: B&M 30287 Throttle Valve/Kickdown Cable,...\u001b[0m\n", + "\u001b[91m142: Guess: $220.46 Truth: $116.25 Error: $104.21 SLE: 0.40 Item: Gates TCK226 PowerGrip Premium Timing Be...\u001b[0m\n", + "\u001b[91m143: Guess: $220.46 Truth: $112.78 Error: $107.68 SLE: 0.44 Item: Monroe Shocks & Struts Quick-Strut 17149...\u001b[0m\n", + "\u001b[91m144: Guess: $220.46 Truth: $27.32 Error: $193.14 SLE: 4.23 Item: Feit Electric BPMR16/GU10/930CA/6 35W EQ...\u001b[0m\n", + "\u001b[93m145: Guess: $220.46 Truth: $145.91 Error: $74.55 SLE: 0.17 Item: Yellow Jacket 2806 Contractor Extension ...\u001b[0m\n", + "\u001b[93m146: Guess: $220.46 Truth: $171.09 Error: $49.37 SLE: 0.06 Item: Garage-Pro Tailgate SET Compatible with ...\u001b[0m\n", + "\u001b[93m147: Guess: $220.46 Truth: $167.95 Error: $52.51 SLE: 0.07 Item: 3M Perfect It Buffing and Polishing Kit ...\u001b[0m\n", + "\u001b[91m148: Guess: $220.46 Truth: $28.49 Error: $191.97 SLE: 4.06 Item: Chinese Style Dollhouse Model DIY Miniat...\u001b[0m\n", + "\u001b[91m149: Guess: $220.46 Truth: $122.23 Error: $98.23 SLE: 0.34 Item: Generic NRG Innovations SRK-161H Steerin...\u001b[0m\n", + "\u001b[91m150: Guess: $220.46 Truth: $32.99 Error: $187.47 SLE: 3.51 Item: Learning Resources Coding Critters Range...\u001b[0m\n", + "\u001b[91m151: Guess: $220.46 Truth: $71.20 Error: $149.26 SLE: 1.26 Item: Bosch Automotive 15463 Oxygen Sensor, OE...\u001b[0m\n", + "\u001b[91m152: Guess: $220.46 Truth: $112.75 Error: $107.71 SLE: 0.44 Item: Case of 24-2 Inch Blue Painters Tape - 6...\u001b[0m\n", + "\u001b[93m153: Guess: $220.46 Truth: $142.43 Error: $78.03 SLE: 0.19 Item: MOCA Engine Water Pump & Fan Clutch fit ...\u001b[0m\n", + "\u001b[91m154: Guess: $220.46 Truth: $398.99 Error: $178.53 SLE: 0.35 Item: SAREMAS Foot Step Bars for Hyundai Palis...\u001b[0m\n", + "\u001b[91m155: Guess: $220.46 Truth: $449.00 Error: $228.54 SLE: 0.50 Item: Gretsch G9210 Square Neck Boxcar Mahogan...\u001b[0m\n", + "\u001b[92m156: Guess: $220.46 Truth: $189.00 Error: $31.46 SLE: 0.02 Item: NikoMaku Mirror Dash Cam Front and Rear ...\u001b[0m\n", + "\u001b[91m157: Guess: $220.46 Truth: $120.91 Error: $99.55 SLE: 0.36 Item: Fenix HP25R v2.0 USB-C Rechargeable Head...\u001b[0m\n", + "\u001b[92m158: Guess: $220.46 Truth: $203.53 Error: $16.93 SLE: 0.01 Item: R&L Racing Heavy Duty Roll-Up Soft Tonne...\u001b[0m\n", + "\u001b[93m159: Guess: $220.46 Truth: $349.99 Error: $129.53 SLE: 0.21 Item: Garmin 010-02258-10 GPSMAP 64sx, Handhel...\u001b[0m\n", + "\u001b[91m160: Guess: $220.46 Truth: $34.35 Error: $186.11 SLE: 3.37 Item: Brown 5-7/8\" X 8-1/2\" X 3/16\" Thick Heav...\u001b[0m\n", + "\u001b[91m161: Guess: $220.46 Truth: $384.99 Error: $164.53 SLE: 0.31 Item: GAOMON PD2200 Pen Display & 20 Pen Nibs ...\u001b[0m\n", + "\u001b[92m162: Guess: $220.46 Truth: $211.00 Error: $9.46 SLE: 0.00 Item: VXMOTOR for 97-03 Ford F150/F250 Lightdu...\u001b[0m\n", + "\u001b[91m163: Guess: $220.46 Truth: $129.00 Error: $91.46 SLE: 0.28 Item: HP EliteBook 2540p Intel Core i7-640LM X...\u001b[0m\n", + "\u001b[91m164: Guess: $220.46 Truth: $111.45 Error: $109.01 SLE: 0.46 Item: Green EPX Mixing Nozzles 100-Pack-fits 3...\u001b[0m\n", + "\u001b[91m165: Guess: $220.46 Truth: $81.12 Error: $139.34 SLE: 0.98 Item: Box Partners 6 1/4 x 3 1/8\" 13 Pt. Manil...\u001b[0m\n", + "\u001b[91m166: Guess: $220.46 Truth: $457.08 Error: $236.62 SLE: 0.53 Item: Vixen Air 1/2\" NPT Air Ride Suspension H...\u001b[0m\n", + "\u001b[91m167: Guess: $220.46 Truth: $49.49 Error: $170.97 SLE: 2.19 Item: Smart Floor Lamp, 2700-6500K+RGBPink Mul...\u001b[0m\n", + "\u001b[91m168: Guess: $220.46 Truth: $80.56 Error: $139.90 SLE: 1.00 Item: SOZG 324mm Wheelbase Body Shell RC Car B...\u001b[0m\n", + "\u001b[93m169: Guess: $220.46 Truth: $278.39 Error: $57.93 SLE: 0.05 Item: Mickey Thompson ET Street S/S Racing Rad...\u001b[0m\n", + "\u001b[93m170: Guess: $220.46 Truth: $364.50 Error: $144.04 SLE: 0.25 Item: Pirelli 275/40R20 106W XL RFT P0 PZ4-LUX...\u001b[0m\n", + "\u001b[91m171: Guess: $220.46 Truth: $378.99 Error: $158.53 SLE: 0.29 Item: Torklift C3212 Rear Tie Down\u001b[0m\n", + "\u001b[93m172: Guess: $220.46 Truth: $165.28 Error: $55.18 SLE: 0.08 Item: Cardone 78-4226 Remanufactured Ford Comp...\u001b[0m\n", + "\u001b[91m173: Guess: $220.46 Truth: $56.74 Error: $163.72 SLE: 1.81 Item: Kidde AccessPoint 001798 Supra TouchPoin...\u001b[0m\n", + "\u001b[93m174: Guess: $220.46 Truth: $307.95 Error: $87.49 SLE: 0.11 Item: 3M Protecta 3100414 Self Retracting Life...\u001b[0m\n", + "\u001b[91m175: Guess: $220.46 Truth: $38.00 Error: $182.46 SLE: 3.02 Item: Plantronics 89435-01 Wired Headset, Blac...\u001b[0m\n", + "\u001b[91m176: Guess: $220.46 Truth: $53.00 Error: $167.46 SLE: 1.99 Item: Logitech K750 Wireless Solar Keyboard fo...\u001b[0m\n", + "\u001b[91m177: Guess: $220.46 Truth: $498.00 Error: $277.54 SLE: 0.66 Item: Olympus PEN E-PL9 Body Only with 3-Inch ...\u001b[0m\n", + "\u001b[91m178: Guess: $220.46 Truth: $53.99 Error: $166.47 SLE: 1.94 Item: Beck/Arnley 051-6066 Hub & Bearing Assem...\u001b[0m\n", + "\u001b[93m179: Guess: $220.46 Truth: $350.00 Error: $129.54 SLE: 0.21 Item: Eibach Pro-Kit Performance Springs E10-6...\u001b[0m\n", + "\u001b[93m180: Guess: $220.46 Truth: $299.95 Error: $79.49 SLE: 0.09 Item: LEGO DC Batman 1989 Batwing 76161 Displa...\u001b[0m\n", + "\u001b[91m181: Guess: $220.46 Truth: $94.93 Error: $125.53 SLE: 0.70 Item: Kingston Brass KS3608PL Restoration 4-In...\u001b[0m\n", + "\u001b[91m182: Guess: $220.46 Truth: $379.00 Error: $158.54 SLE: 0.29 Item: Polk Vanishing Series 265-LS In-Wall 3-W...\u001b[0m\n", + "\u001b[93m183: Guess: $220.46 Truth: $299.95 Error: $79.49 SLE: 0.09 Item: Spec-D Tuning LED Projector Headlights G...\u001b[0m\n", + "\u001b[91m184: Guess: $220.46 Truth: $24.99 Error: $195.47 SLE: 4.59 Item: RICHMOND & FINCH Airpod Pro Case, Green ...\u001b[0m\n", + "\u001b[91m185: Guess: $220.46 Truth: $41.04 Error: $179.42 SLE: 2.76 Item: LFA Industries 43B-5A-33JT 1/16-1/2-1.5-...\u001b[0m\n", + "\u001b[93m186: Guess: $220.46 Truth: $327.90 Error: $107.44 SLE: 0.16 Item: SAUTVS LED Headlight Assembly for Slings...\u001b[0m\n", + "\u001b[91m187: Guess: $220.46 Truth: $10.99 Error: $209.47 SLE: 8.50 Item: 2 Pack Combo Womens Safety Glasses Impac...\u001b[0m\n", + "\u001b[91m188: Guess: $220.46 Truth: $14.99 Error: $205.47 SLE: 6.91 Item: Arepa - Venezuelan cuisine - Venezuela P...\u001b[0m\n", + "\u001b[91m189: Guess: $220.46 Truth: $84.95 Error: $135.51 SLE: 0.90 Item: Schlage Lock Company KS23D2300 Padlock, ...\u001b[0m\n", + "\u001b[91m190: Guess: $220.46 Truth: $111.00 Error: $109.46 SLE: 0.46 Item: Techni Mobili White Sit to Stand Mobile ...\u001b[0m\n", + "\u001b[91m191: Guess: $220.46 Truth: $123.73 Error: $96.73 SLE: 0.33 Item: Special Lite Products Contemporary Wall ...\u001b[0m\n", + "\u001b[91m192: Guess: $220.46 Truth: $557.38 Error: $336.92 SLE: 0.86 Item: Tascam DP-24SD 24-Track Digital Portastu...\u001b[0m\n", + "\u001b[91m193: Guess: $220.46 Truth: $95.55 Error: $124.91 SLE: 0.69 Item: Glow Lighting 636CC10SP Vista Crystal Fl...\u001b[0m\n", + "\u001b[93m194: Guess: $220.46 Truth: $154.00 Error: $66.46 SLE: 0.13 Item: Z3 Wind Deflector, Smoke Tint, Lexan, Wi...\u001b[0m\n", + "\u001b[92m195: Guess: $220.46 Truth: $198.99 Error: $21.47 SLE: 0.01 Item: Olympus E-20 5MP Digital Camera w/ 4x Op...\u001b[0m\n", + "\u001b[91m196: Guess: $220.46 Truth: $430.44 Error: $209.98 SLE: 0.44 Item: PHYNEDI 1:1000 World Trade Center (1973-...\u001b[0m\n", + "\u001b[91m197: Guess: $220.46 Truth: $45.67 Error: $174.79 SLE: 2.42 Item: YANGHUAN Unstable Unicorns Adventure Car...\u001b[0m\n", + "\u001b[92m198: Guess: $220.46 Truth: $249.00 Error: $28.54 SLE: 0.01 Item: Interlogix NX-1820E NetworX Touch Screen...\u001b[0m\n", + "\u001b[91m199: Guess: $220.46 Truth: $42.99 Error: $177.47 SLE: 2.61 Item: Steering Damper,Universal Motorcycle Han...\u001b[0m\n", + "\u001b[92m200: Guess: $220.46 Truth: $181.33 Error: $39.13 SLE: 0.04 Item: Amprobe TIC 410A Hot Stick Attachment\u001b[0m\n", + "\u001b[91m201: Guess: $220.46 Truth: $6.03 Error: $214.43 SLE: 11.90 Item: MyCableMart 3.5mm Plug/Jack, 4 Conductor...\u001b[0m\n", + "\u001b[91m202: Guess: $220.46 Truth: $29.99 Error: $190.47 SLE: 3.87 Item: OtterBox + Pop Symmetry Series Case for ...\u001b[0m\n", + "\u001b[91m203: Guess: $220.46 Truth: $899.00 Error: $678.54 SLE: 1.97 Item: Dell XPS X8700-1572BLK Desktop ( Intel C...\u001b[0m\n", + "\u001b[91m204: Guess: $220.46 Truth: $399.99 Error: $179.53 SLE: 0.35 Item: Franklin Iron Works Sperry Industrial Br...\u001b[0m\n", + "\u001b[91m205: Guess: $220.46 Truth: $4.66 Error: $215.80 SLE: 13.45 Item: Avery Legal Dividers, Standard Collated ...\u001b[0m\n", + "\u001b[92m206: Guess: $220.46 Truth: $261.41 Error: $40.95 SLE: 0.03 Item: Moen 8346 Commercial Posi-Temp Pressure ...\u001b[0m\n", + "\u001b[91m207: Guess: $220.46 Truth: $136.97 Error: $83.49 SLE: 0.22 Item: Carlisle Versa Trail ATR All Terrain Rad...\u001b[0m\n", + "\u001b[91m208: Guess: $220.46 Truth: $79.00 Error: $141.46 SLE: 1.04 Item: SUNWAYFOTO 44mm Tripod Ball Head Arca Co...\u001b[0m\n", + "\u001b[91m209: Guess: $220.46 Truth: $444.99 Error: $224.53 SLE: 0.49 Item: NanoBeam AC NBE-5AC-Gen2-US 4 Units 5GHz...\u001b[0m\n", + "\u001b[91m210: Guess: $220.46 Truth: $411.94 Error: $191.48 SLE: 0.39 Item: WULF 4\" Front 2\" Rear Leveling Lift Kit ...\u001b[0m\n", + "\u001b[93m211: Guess: $220.46 Truth: $148.40 Error: $72.06 SLE: 0.15 Item: Alera ALEVABFMC Valencia Series Mobile B...\u001b[0m\n", + "\u001b[92m212: Guess: $220.46 Truth: $244.99 Error: $24.53 SLE: 0.01 Item: YU-GI-OH! Ignition Assault Booster Box\u001b[0m\n", + "\u001b[91m213: Guess: $220.46 Truth: $86.50 Error: $133.96 SLE: 0.86 Item: 48\" x 36\" Extra-Large Framed Magnetic Bl...\u001b[0m\n", + "\u001b[93m214: Guess: $220.46 Truth: $297.95 Error: $77.49 SLE: 0.09 Item: Dell Latitude D620 Renewed Notebook PC\u001b[0m\n", + "\u001b[91m215: Guess: $220.46 Truth: $399.99 Error: $179.53 SLE: 0.35 Item: acer Aspire 5 Laptop, AMD Ryzen 3 5300U ...\u001b[0m\n", + "\u001b[91m216: Guess: $220.46 Truth: $599.00 Error: $378.54 SLE: 0.99 Item: Elk 31080/6RC-GRN 30 by 6-Inch Viva 6-Li...\u001b[0m\n", + "\u001b[91m217: Guess: $220.46 Truth: $105.99 Error: $114.47 SLE: 0.53 Item: Barbie Top Model Doll\u001b[0m\n", + "\u001b[91m218: Guess: $220.46 Truth: $689.00 Error: $468.54 SLE: 1.29 Item: Danby Designer 20-In. Electric Range wit...\u001b[0m\n", + "\u001b[91m219: Guess: $220.46 Truth: $404.99 Error: $184.53 SLE: 0.37 Item: FixtureDisplays® Metal Truss Podium Doub...\u001b[0m\n", + "\u001b[92m220: Guess: $220.46 Truth: $207.76 Error: $12.70 SLE: 0.00 Item: ACDelco 13597235 GM Original Equipment A...\u001b[0m\n", + "\u001b[93m221: Guess: $220.46 Truth: $171.82 Error: $48.64 SLE: 0.06 Item: EBC S1KF1135 Stage-1 Premium Street Brak...\u001b[0m\n", + "\u001b[93m222: Guess: $220.46 Truth: $293.24 Error: $72.78 SLE: 0.08 Item: FXR Men's Boost FX Jacket (Black/Orange/...\u001b[0m\n", + "\u001b[91m223: Guess: $220.46 Truth: $374.95 Error: $154.49 SLE: 0.28 Item: SuperATV Scratch Resistant 3-in-1 Flip W...\u001b[0m\n", + "\u001b[91m224: Guess: $220.46 Truth: $111.99 Error: $108.47 SLE: 0.45 Item: SBU 3 Layer All Weather Mini Van Car Cov...\u001b[0m\n", + "\u001b[91m225: Guess: $220.46 Truth: $42.99 Error: $177.47 SLE: 2.61 Item: 2 Pack Outdoor Brochure Holder Advertisi...\u001b[0m\n", + "\u001b[91m226: Guess: $220.46 Truth: $116.71 Error: $103.75 SLE: 0.40 Item: Monroe Shocks & Struts Quick-Strut 17158...\u001b[0m\n", + "\u001b[91m227: Guess: $220.46 Truth: $118.61 Error: $101.85 SLE: 0.38 Item: Elements of Design Magellan EB235AL Thre...\u001b[0m\n", + "\u001b[93m228: Guess: $220.46 Truth: $147.12 Error: $73.34 SLE: 0.16 Item: GM Genuine Parts 15-62961 Air Conditioni...\u001b[0m\n", + "\u001b[91m229: Guess: $220.46 Truth: $119.99 Error: $100.47 SLE: 0.37 Item: Baseus 17-in-1 USB C Docking Station to ...\u001b[0m\n", + "\u001b[91m230: Guess: $220.46 Truth: $369.98 Error: $149.52 SLE: 0.27 Item: Whitehall™ Personalized Whitehall Capito...\u001b[0m\n", + "\u001b[93m231: Guess: $220.46 Truth: $315.55 Error: $95.09 SLE: 0.13 Item: Pro Circuit Works Pipe PY05250 for 02-19...\u001b[0m\n", + "\u001b[92m232: Guess: $220.46 Truth: $190.99 Error: $29.47 SLE: 0.02 Item: HYANKA 15 \"1200W Professional DJ Speaker...\u001b[0m\n", + "\u001b[93m233: Guess: $220.46 Truth: $155.00 Error: $65.46 SLE: 0.12 Item: Bluetooth X6BT Card Reader Writer Encode...\u001b[0m\n", + "\u001b[93m234: Guess: $220.46 Truth: $349.99 Error: $129.53 SLE: 0.21 Item: AIRAID Cold Air Intake System by K&N: In...\u001b[0m\n", + "\u001b[92m235: Guess: $220.46 Truth: $249.99 Error: $29.53 SLE: 0.02 Item: Bostingner Shower Faucets Sets Complete,...\u001b[0m\n", + "\u001b[91m236: Guess: $220.46 Truth: $42.99 Error: $177.47 SLE: 2.61 Item: PIT66 Front Bumper Turn Signal Lights, C...\u001b[0m\n", + "\u001b[91m237: Guess: $220.46 Truth: $17.99 Error: $202.47 SLE: 6.03 Item: Caseology Bumpy Compatible with Google P...\u001b[0m\n", + "\u001b[91m238: Guess: $220.46 Truth: $425.00 Error: $204.54 SLE: 0.43 Item: Fleck 2510 Timer Mechanical Filter Contr...\u001b[0m\n", + "\u001b[92m239: Guess: $220.46 Truth: $249.99 Error: $29.53 SLE: 0.02 Item: Haloview MC7108 Wireless RV Backup Camer...\u001b[0m\n", + "\u001b[91m240: Guess: $220.46 Truth: $138.23 Error: $82.23 SLE: 0.22 Item: Schmidt Spiele - Manhattan\u001b[0m\n", + "\u001b[91m241: Guess: $220.46 Truth: $414.99 Error: $194.53 SLE: 0.40 Item: Corsa 14333 Tip Kit (Ford Mustang GT)\u001b[0m\n", + "\u001b[93m242: Guess: $220.46 Truth: $168.28 Error: $52.18 SLE: 0.07 Item: Hoshizaki FM116A Fan Motor Kit 1\u001b[0m\n", + "\u001b[92m243: Guess: $220.46 Truth: $199.99 Error: $20.47 SLE: 0.01 Item: BAINUO Antler Chandelier Lighting,6 Ligh...\u001b[0m\n", + "\u001b[91m244: Guess: $220.46 Truth: $126.70 Error: $93.76 SLE: 0.30 Item: DNA MOTORING HL-OH-FEXP06-SM-AM Smoke Le...\u001b[0m\n", + "\u001b[91m245: Guess: $220.46 Truth: $5.91 Error: $214.55 SLE: 12.02 Item: Wera Stainless 3840/1 TS 2.5mm Hex Inser...\u001b[0m\n", + "\u001b[92m246: Guess: $220.46 Truth: $193.06 Error: $27.40 SLE: 0.02 Item: Celestron - PowerSeeker 127EQ Telescope ...\u001b[0m\n", + "\u001b[92m247: Guess: $220.46 Truth: $249.99 Error: $29.53 SLE: 0.02 Item: NHOPEEW 10.1inch Android Car Radio Carpl...\u001b[0m\n", + "\u001b[91m248: Guess: $220.46 Truth: $64.12 Error: $156.34 SLE: 1.50 Item: Other Harmonica (Suzuki-2Timer24- A)\u001b[0m\n", + "\u001b[91m249: Guess: $220.46 Truth: $114.99 Error: $105.47 SLE: 0.42 Item: Harley Air Filter Venturi Intake Air Cle...\u001b[0m\n", + "\u001b[91m250: Guess: $220.46 Truth: $926.00 Error: $705.54 SLE: 2.05 Item: Elite Screens Edge Free Ambient Light Re...\u001b[0m\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Run our constant predictor\n", + "\n", + "TestRunner(constant_predictor).run()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "ce16eee8-bb34-4914-9aa5-57e30a567842", + "metadata": {}, + "outputs": [], + "source": [ + "# Create a new \"features\" field on items, and populate it with json parsed from the details dict\n", + "\n", + "for item in train:\n", + " item.features = json.loads(item.details)\n", + "for item in test:\n", + " item.features = json.loads(item.details)\n", + "\n", + "# Look at one" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "fd7a41c5-0c51-41be-a61d-8e80c3e90930", + "metadata": {}, + "outputs": [], + "source": [ + "# Look at 20 most common features in training set\n", + "\n", + "import json\n", + "feature_count = Counter()\n", + "for item in train:\n", + " for f in item.features.keys():\n", + " feature_count[f]+=1\n" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "3cef84a9-4932-48fd-9f7a-51cfc06e3216", + "metadata": {}, + "outputs": [], + "source": [ + "# Now some janky code to pluck out the Item Weight\n", + "# Don't worry too much about this: spoiler alert, it's not going to be much use in training!\n", + "\n", + "def get_weight(item):\n", + " weight_str = item.features.get('Item Weight')\n", + " if weight_str:\n", + " parts = weight_str.split(' ')\n", + " amount = float(parts[0])\n", + " unit = parts[1].lower()\n", + " if unit==\"pounds\":\n", + " return amount\n", + " elif unit==\"ounces\":\n", + " return amount / 16\n", + " elif unit==\"grams\":\n", + " return amount / 453.592\n", + " elif unit==\"milligrams\":\n", + " return amount / 453592\n", + " elif unit==\"kilograms\":\n", + " return amount / 0.453592\n", + " elif unit==\"hundredths\" and parts[2].lower()==\"pounds\":\n", + " return amount / 100\n", + " else:\n", + " print(weight_str)\n", + " return None" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "f4848b4a-3c5a-4168-83a5-57a1f3ff270d", + "metadata": {}, + "outputs": [], + "source": [ + "weights = [get_weight(t) for t in train]\n", + "weights = [w for w in weights if w]" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "0cd11cc8-f16e-4991-b531-482189ddc4b6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "13.57055237029551" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "average_weight = sum(weights)/len(weights)\n", + "average_weight" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "efe8ec7f-9777-464f-a809-b06b7033bdb2", + "metadata": {}, + "outputs": [], + "source": [ + "def get_weight_with_default(item):\n", + " weight = get_weight(item)\n", + " return weight or average_weight" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "c2659fef-a455-431a-9a0e-59342b80084b", + "metadata": {}, + "outputs": [], + "source": [ + "def get_rank(item):\n", + " rank_dict = item.features.get(\"Best Sellers Rank\")\n", + " if rank_dict:\n", + " ranks = rank_dict.values()\n", + " return sum(ranks)/len(ranks)\n", + " return None" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "20b9b5be-30bc-4d3a-8492-fbae119421a0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "380638.258828069" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ranks = [get_rank(t) for t in train]\n", + "ranks = [r for r in ranks if r]\n", + "average_rank = sum(ranks)/len(ranks)\n", + "average_rank" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "081e646a-ea50-4ec3-9512-6d5f96f8aef6", + "metadata": {}, + "outputs": [], + "source": [ + "def get_rank_with_default(item):\n", + " rank = get_rank(item)\n", + " return rank or average_rank" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "afd5daf7-cb2b-47af-bf17-dd71a9db65d0", + "metadata": {}, + "outputs": [], + "source": [ + "def get_text_length(item):\n", + " return len(item.test_prompt())" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "85c89012-a922-401b-8a3b-94af641bf27a", + "metadata": {}, + "outputs": [], + "source": [ + "# investigate the brands\n", + "\n", + "brands = Counter()\n", + "for t in train:\n", + " brand = t.features.get(\"Brand\")\n", + " if brand:\n", + " brands[brand]+=1\n", + "\n", + "# Look at most common 40 brands" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "386dde54-e028-4a6d-b291-cce889ac1fa3", + "metadata": {}, + "outputs": [], + "source": [ + "TOP_ELECTRONICS_BRANDS = [\"hp\", \"dell\", \"lenovo\", \"samsung\", \"asus\", \"sony\", \"canon\", \"apple\", \"intel\"]\n", + "def is_top_electronics_brand(item):\n", + " brand = item.features.get(\"Brand\")\n", + " return brand and brand.lower() in TOP_ELECTRONICS_BRANDS" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "c31c9c59-9d0d-47a8-a046-f20ed8d38d4c", + "metadata": {}, + "outputs": [], + "source": [ + "def get_features(item):\n", + " return {\n", + " \"weight\": get_weight_with_default(item),\n", + " \"rank\": get_rank_with_default(item),\n", + " \"text_length\": get_text_length(item),\n", + " \"is_top_electronics_brand\": 1 if is_top_electronics_brand(item) else 0\n", + " }" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "88850855-f5bd-4be2-9d7c-75bf8a21609b", + "metadata": {}, + "outputs": [], + "source": [ + "# Look at features in training ite," + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "ee9b5298-68b7-497d-8b2e-875287bb25b2", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "from sklearn.linear_model import LinearRegression\n", + "from sklearn.metrics import mean_squared_error, r2_score\n", + "from sklearn.preprocessing import StandardScaler\n", + "\n", + "def list_to_dataframe(items):\n", + " features = [get_features(item) for item in items]\n", + " df = pd.DataFrame(features)\n", + " df['price'] = [item.price for item in items]\n", + " return df\n", + "\n", + "train_df = list_to_dataframe(train)\n", + "test_df = list_to_dataframe(test[:250])" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "cc1d68e0-ab33-40f4-9334-461d426af25c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "weight: 0.26423218629576695\n", + "rank: 5.197480233116636e-05\n", + "text_length: 0.007609328351322259\n", + "is_top_electronics_brand: 198.14254283207853\n", + "Intercept: 182.18661987897224\n", + "Mean Squared Error: 33034.336771967886\n", + "R-squared Score: 0.09091571194865511\n" + ] + } + ], + "source": [ + "np.random.seed(42)\n", + "\n", + "# Separate features and target\n", + "feature_columns = [col for col in train_df.columns if col != 'price']\n", + "X_train = train_df[feature_columns]\n", + "y_train = train_df['price']\n", + "X_test = test_df[feature_columns]\n", + "y_test = test_df['price']\n", + "\n", + "feature_columns = ['weight', 'rank', 'text_length', 'is_top_electronics_brand']\n", + "\n", + "X_train = train_df[feature_columns]\n", + "y_train = train_df['price']\n", + "X_test = test_df[feature_columns]\n", + "y_test = test_df['price']\n", + "\n", + "# Create and train the model\n", + "model = LinearRegression()\n", + "model.fit(X_train, y_train)\n", + "\n", + "# Print coefficients\n", + "for feature, coef in zip(feature_columns, model.coef_):\n", + " print(f\"{feature}: {coef}\")\n", + "print(f\"Intercept: {model.intercept_}\")\n", + "\n", + "# Make predictions\n", + "y_pred = model.predict(X_test)\n", + "\n", + "# Evaluate the model\n", + "mse = mean_squared_error(y_test, y_pred)\n", + "r2 = r2_score(y_test, y_pred)\n", + "\n", + "print(f\"Mean Squared Error: {mse}\")\n", + "print(f\"R-squared Score: {r2}\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "6561c3c7-ac7f-458b-983c-4a164b9d02c3", + "metadata": {}, + "outputs": [], + "source": [ + "# Function to predict price for a new item\n", + "def linear_regression_predictor(item):\n", + " features = get_features(item)\n", + " features_df = pd.DataFrame([features])\n", + " return model.predict(features_df)[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "id": "9bf2caa4-657a-4fc6-9dcb-bed7eaf8dd65", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[93m1: Guess: $228.68 Truth: $374.41 Error: $145.73 SLE: 0.24 Item: OEM AC Compressor w/A/C Repair Kit For F...\u001b[0m\n", + "\u001b[92m2: Guess: $214.45 Truth: $225.11 Error: $10.66 SLE: 0.00 Item: Motorcraft YB3125 Fan Clutch\u001b[0m\n", + "\u001b[91m3: Guess: $191.46 Truth: $61.68 Error: $129.78 SLE: 1.26 Item: Dorman 603-159 Front Washer Fluid Reserv...\u001b[0m\n", + "\u001b[93m4: Guess: $389.92 Truth: $599.99 Error: $210.07 SLE: 0.18 Item: HP Premium 17.3-inch HD Plus Touchscreen...\u001b[0m\n", + "\u001b[91m5: Guess: $211.35 Truth: $16.99 Error: $194.36 SLE: 6.09 Item: 5-Position Super Switch Pickup Selector ...\u001b[0m\n", + "\u001b[91m6: Guess: $211.42 Truth: $31.99 Error: $179.43 SLE: 3.47 Item: Horror Bookmarks, Resin Horror Bookmarks...\u001b[0m\n", + "\u001b[91m7: Guess: $190.88 Truth: $101.79 Error: $89.09 SLE: 0.39 Item: SK6241 - Stinger 4 Gauge 6000 Series Pow...\u001b[0m\n", + "\u001b[93m8: Guess: $190.14 Truth: $289.00 Error: $98.86 SLE: 0.17 Item: Godox ML60Bi LED Light Kit, Handheld LED...\u001b[0m\n", + "\u001b[91m9: Guess: $220.89 Truth: $635.86 Error: $414.97 SLE: 1.11 Item: Randall RG75DG3PLUS G3 Plus 100-Watt Com...\u001b[0m\n", + "\u001b[91m10: Guess: $199.88 Truth: $65.99 Error: $133.89 SLE: 1.21 Item: HOLDWILL 6 Pack LED Shop Light, 4FT 24W ...\u001b[0m\n", + "\u001b[92m11: Guess: $214.57 Truth: $254.21 Error: $39.64 SLE: 0.03 Item: Viking Horns V103C/1005ATK 3 Gallon Air ...\u001b[0m\n", + "\u001b[91m12: Guess: $216.59 Truth: $412.99 Error: $196.40 SLE: 0.41 Item: CURT 70110 Custom Tow Bar Base Plate Bra...\u001b[0m\n", + "\u001b[92m13: Guess: $211.27 Truth: $205.50 Error: $5.77 SLE: 0.00 Item: 10-Pack Solar HAMMERED BRONZE Finish Pos...\u001b[0m\n", + "\u001b[93m14: Guess: $190.61 Truth: $248.23 Error: $57.62 SLE: 0.07 Item: COSTWAY Electric Tumble Dryer, Sliver\u001b[0m\n", + "\u001b[91m15: Guess: $194.48 Truth: $399.00 Error: $204.52 SLE: 0.51 Item: FREE SIGNAL TV Transit 32\" 12 Volt DC Po...\u001b[0m\n", + "\u001b[91m16: Guess: $205.67 Truth: $373.94 Error: $168.27 SLE: 0.35 Item: Bilstein 5100 Monotube Gas Shock Set com...\u001b[0m\n", + "\u001b[91m17: Guess: $201.32 Truth: $92.89 Error: $108.43 SLE: 0.59 Item: Sangean K-200 Multi-Function Upright AM/...\u001b[0m\n", + "\u001b[91m18: Guess: $191.13 Truth: $51.99 Error: $139.14 SLE: 1.66 Item: Charles Leonard Magnetic Lapboard Class ...\u001b[0m\n", + "\u001b[92m19: Guess: $189.00 Truth: $179.00 Error: $10.00 SLE: 0.00 Item: Gigabyte AMD Radeon HD 7870 2 GB GDDR5 D...\u001b[0m\n", + "\u001b[91m20: Guess: $206.85 Truth: $19.42 Error: $187.43 SLE: 5.38 Item: 3dRose LLC 8 x 8 x 0.25 Inches Bull Terr...\u001b[0m\n", + "\u001b[91m21: Guess: $187.25 Truth: $539.95 Error: $352.70 SLE: 1.11 Item: ROKINON 85mm F1.4 Auto Focus Full Frame ...\u001b[0m\n", + "\u001b[93m22: Guess: $195.82 Truth: $147.67 Error: $48.15 SLE: 0.08 Item: AUTOSAVER88 Headlight Assembly Compatibl...\u001b[0m\n", + "\u001b[91m23: Guess: $187.94 Truth: $24.99 Error: $162.95 SLE: 3.94 Item: ASI NAUTICAL 2.5 Inches Opera Glasses Bi...\u001b[0m\n", + "\u001b[93m24: Guess: $194.94 Truth: $149.00 Error: $45.94 SLE: 0.07 Item: Behringer TUBE OVERDRIVE TO100 Authentic...\u001b[0m\n", + "\u001b[91m25: Guess: $196.15 Truth: $16.99 Error: $179.16 SLE: 5.73 Item: Fun Express Insect Finger Puppets - 24 f...\u001b[0m\n", + "\u001b[91m26: Guess: $191.93 Truth: $7.99 Error: $183.94 SLE: 9.40 Item: WAFJAMF Roller Stamp Identity Theft Stam...\u001b[0m\n", + "\u001b[92m27: Guess: $198.12 Truth: $199.99 Error: $1.87 SLE: 0.00 Item: Capulina Tiffany Floor Lamp 2-Light 16\" ...\u001b[0m\n", + "\u001b[91m28: Guess: $386.59 Truth: $251.45 Error: $135.14 SLE: 0.18 Item: Apple Watch Series 6 (GPS, 44mm) - Space...\u001b[0m\n", + "\u001b[92m29: Guess: $228.22 Truth: $231.62 Error: $3.40 SLE: 0.00 Item: ICON 01725 Tandem Axle Fender Skirt FS17...\u001b[0m\n", + "\u001b[93m30: Guess: $191.91 Truth: $135.00 Error: $56.91 SLE: 0.12 Item: SanDisk 128GB Ultra (10 Pack) MicroSD Cl...\u001b[0m\n", + "\u001b[91m31: Guess: $210.66 Truth: $356.62 Error: $145.96 SLE: 0.28 Item: Velvac 2020,L,C/Hr,W,E2003,102\",Bk - 715...\u001b[0m\n", + "\u001b[92m32: Guess: $240.31 Truth: $257.99 Error: $17.68 SLE: 0.00 Item: TCMT Passenger Backrest Sissy Bar & Lugg...\u001b[0m\n", + "\u001b[91m33: Guess: $207.97 Truth: $27.99 Error: $179.98 SLE: 3.90 Item: Alnicov 63.5MM Brass Tremolo Block,Tremo...\u001b[0m\n", + "\u001b[93m34: Guess: $229.18 Truth: $171.20 Error: $57.98 SLE: 0.08 Item: Subaru Forester Outback Legacy OEM Engin...\u001b[0m\n", + "\u001b[93m35: Guess: $277.23 Truth: $225.00 Error: $52.23 SLE: 0.04 Item: Richmond Auto Upholstery - 2012 Dodge Ra...\u001b[0m\n", + "\u001b[91m36: Guess: $213.50 Truth: $105.00 Error: $108.50 SLE: 0.50 Item: AP-39 Automotive Paint Primer Grey 2K Ur...\u001b[0m\n", + "\u001b[93m37: Guess: $200.01 Truth: $299.99 Error: $99.98 SLE: 0.16 Item: Road Top Wireless Carplay Retrofit Kit D...\u001b[0m\n", + "\u001b[91m38: Guess: $249.60 Truth: $535.09 Error: $285.49 SLE: 0.58 Item: Gibson Performance Exhaust 5658 Aluminiz...\u001b[0m\n", + "\u001b[91m39: Guess: $189.67 Truth: $12.33 Error: $177.34 SLE: 7.08 Item: Bella Tunno Happy Links - Baby Montessor...\u001b[0m\n", + "\u001b[91m40: Guess: $192.85 Truth: $84.99 Error: $107.86 SLE: 0.66 Item: CANMORE H300 Handheld GPS Golf Device, S...\u001b[0m\n", + "\u001b[91m41: Guess: $192.46 Truth: $15.99 Error: $176.47 SLE: 5.92 Item: DCPOWER AC Adapter Compatible Replacemen...\u001b[0m\n", + "\u001b[91m42: Guess: $199.85 Truth: $62.44 Error: $137.41 SLE: 1.33 Item: Sharp, VX2128V, Commercial Desktop Calcu...\u001b[0m\n", + "\u001b[91m43: Guess: $193.96 Truth: $82.99 Error: $110.97 SLE: 0.71 Item: Melissa & Doug Lifelike Plush Stork Gian...\u001b[0m\n", + "\u001b[93m44: Guess: $393.43 Truth: $599.95 Error: $206.52 SLE: 0.18 Item: Sony SSCS8 2-Way 3-Driver Center Channel...\u001b[0m\n", + "\u001b[91m45: Guess: $387.50 Truth: $194.99 Error: $192.51 SLE: 0.47 Item: ASUS Chromebook CX1, 14\" Full HD NanoEdg...\u001b[0m\n", + "\u001b[91m46: Guess: $204.85 Truth: $344.95 Error: $140.10 SLE: 0.27 Item: FiiO X7 32GB Hi-Res Lossless Music Playe...\u001b[0m\n", + "\u001b[91m47: Guess: $190.01 Truth: $37.99 Error: $152.02 SLE: 2.52 Item: TORRO Leather Case Compatible with iPhon...\u001b[0m\n", + "\u001b[92m48: Guess: $200.74 Truth: $224.35 Error: $23.61 SLE: 0.01 Item: Universal Air Conditioner KT 1031 A/C Co...\u001b[0m\n", + "\u001b[91m49: Guess: $248.02 Truth: $814.00 Error: $565.98 SLE: 1.41 Item: Street Series Stainless Performance Cat-...\u001b[0m\n", + "\u001b[92m50: Guess: $407.63 Truth: $439.88 Error: $32.25 SLE: 0.01 Item: Lenovo IdeaPad 3 14-inch Laptop, 14.0-in...\u001b[0m\n", + "\u001b[92m51: Guess: $298.17 Truth: $341.43 Error: $43.26 SLE: 0.02 Item: Access Bed Covers TonnoSport 22050219 - ...\u001b[0m\n", + "\u001b[91m52: Guess: $204.81 Truth: $46.78 Error: $158.03 SLE: 2.13 Item: G.I. 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Ford Black Valet ...\u001b[0m\n", + "\u001b[93m60: Guess: $212.88 Truth: $269.00 Error: $56.12 SLE: 0.05 Item: Snailfly Black Roof Rack Rail + Cross Ba...\u001b[0m\n", + "\u001b[91m61: Guess: $198.77 Truth: $77.77 Error: $121.00 SLE: 0.87 Item: KING SHA Anti Glare LED Track Lighting H...\u001b[0m\n", + "\u001b[91m62: Guess: $211.88 Truth: $88.99 Error: $122.89 SLE: 0.74 Item: APS Compatible with Chevy Silverado 1500...\u001b[0m\n", + "\u001b[91m63: Guess: $213.43 Truth: $364.41 Error: $150.98 SLE: 0.28 Item: Wilwood Engineering 14011291R Brake Cali...\u001b[0m\n", + "\u001b[91m64: Guess: $216.97 Truth: $127.03 Error: $89.94 SLE: 0.28 Item: ACDelco Gold 336-1925A Starter, Remanufa...\u001b[0m\n", + "\u001b[91m65: Guess: $250.39 Truth: $778.95 Error: $528.56 SLE: 1.28 Item: UWS EC10783 69-Inch Matte Black Heavy-Wa...\u001b[0m\n", + "\u001b[91m66: Guess: $389.46 Truth: $206.66 Error: $182.80 SLE: 0.40 Item: Dell Latitude E5440 14in Business Laptop...\u001b[0m\n", + "\u001b[91m67: Guess: $191.03 Truth: $35.94 Error: $155.09 SLE: 2.72 Item: (Plug and Play) Spare Tire Brake Light W...\u001b[0m\n", + "\u001b[93m68: Guess: $204.82 Truth: $149.00 Error: $55.82 SLE: 0.10 Item: The Ultimate Roadside Rescue Assistant\u001b[0m\n", + "\u001b[92m69: Guess: $215.79 Truth: $251.98 Error: $36.19 SLE: 0.02 Item: Brand New 18\" x 8.5\" Replacement Wheel f...\u001b[0m\n", + "\u001b[91m70: Guess: $288.82 Truth: $160.00 Error: $128.82 SLE: 0.35 Item: Headlight Headlamp LH Left & RH Right Pa...\u001b[0m\n", + "\u001b[91m71: Guess: $189.29 Truth: $39.99 Error: $149.30 SLE: 2.36 Item: Lilo And Stitch Deluxe Oversize Print La...\u001b[0m\n", + "\u001b[93m72: Guess: $263.46 Truth: $362.41 Error: $98.95 SLE: 0.10 Item: AC Compressor & A/C Clutch For Hyundai A...\u001b[0m\n", + "\u001b[93m73: Guess: $210.03 Truth: $344.00 Error: $133.97 SLE: 0.24 Item: House Of Troy PIN475-AB Pinnacle Collect...\u001b[0m\n", + "\u001b[91m74: Guess: $195.16 Truth: $25.09 Error: $170.07 SLE: 4.07 Item: Juno T29 WH Floating Electrical Feed Sin...\u001b[0m\n", + "\u001b[93m75: Guess: $254.35 Truth: $175.95 Error: $78.40 SLE: 0.13 Item: Sherman GO-PARTS - for 2013-2016 Toyota ...\u001b[0m\n", + "\u001b[93m76: Guess: $190.05 Truth: $132.64 Error: $57.41 SLE: 0.13 Item: Roland RPU-3 Electronic Keyboard Pedal o...\u001b[0m\n", + "\u001b[91m77: Guess: $223.57 Truth: $422.99 Error: $199.42 SLE: 0.40 Item: Rockland VMI14 12,000 Pound 12 Volt DC E...\u001b[0m\n", + "\u001b[93m78: Guess: $210.12 Truth: $146.48 Error: $63.64 SLE: 0.13 Item: Max Advanced Brakes Elite XDS Front Cros...\u001b[0m\n", + "\u001b[91m79: Guess: $271.94 Truth: $156.83 Error: $115.11 SLE: 0.30 Item: Quality-Built 11030 Premium Quality Alte...\u001b[0m\n", + "\u001b[93m80: Guess: $193.44 Truth: $251.99 Error: $58.55 SLE: 0.07 Item: Lucida LG-510 Student Classical Guitar, ...\u001b[0m\n", + "\u001b[91m81: Guess: $243.85 Truth: $940.33 Error: $696.48 SLE: 1.81 Item: Longacre 52-79800 Aluminum Turn Plates\u001b[0m\n", + "\u001b[91m82: Guess: $191.18 Truth: $52.99 Error: $138.19 SLE: 1.61 Item: Motion Pro 08-0380 Adjustable Torque Wre...\u001b[0m\n", + "\u001b[92m83: Guess: $191.58 Truth: $219.95 Error: $28.37 SLE: 0.02 Item: Glyph Thunderbolt 3 NVMe Dock (0 GB)\u001b[0m\n", + "\u001b[91m84: Guess: $230.02 Truth: $441.03 Error: $211.01 SLE: 0.42 Item: TOYO Open Country MT Performance Radial ...\u001b[0m\n", + "\u001b[93m85: Guess: $211.58 Truth: $168.98 Error: $42.60 SLE: 0.05 Item: Razer Seiren X USB Streaming Microphone ...\u001b[0m\n", + "\u001b[91m86: Guess: $198.06 Truth: $2.49 Error: $195.57 SLE: 16.35 Item: Happy Birthday to Dad From Your Daughter...\u001b[0m\n", + "\u001b[91m87: Guess: $193.60 Truth: $98.62 Error: $94.98 SLE: 0.45 Item: Little Tikes My Real Jam First Concert S...\u001b[0m\n", + "\u001b[93m88: Guess: $198.38 Truth: $256.95 Error: $58.57 SLE: 0.07 Item: Studio M Peace and Harmony Art Pole Comm...\u001b[0m\n", + "\u001b[91m89: Guess: $211.35 Truth: $30.99 Error: $180.36 SLE: 3.58 Item: MyVolts 12V Power Supply Adaptor Compati...\u001b[0m\n", + "\u001b[93m90: Guess: $409.34 Truth: $569.84 Error: $160.50 SLE: 0.11 Item: Dell Latitude 7212 Rugged Extreme Tablet...\u001b[0m\n", + "\u001b[92m91: Guess: $210.35 Truth: $177.99 Error: $32.36 SLE: 0.03 Item: Covermates Contour Fit Car Cover - Light...\u001b[0m\n", + "\u001b[91m92: Guess: $224.92 Truth: $997.99 Error: $773.07 SLE: 2.21 Item: Westin 57-4025 Black HDX Grille Guard fi...\u001b[0m\n", + "\u001b[92m93: Guess: $212.10 Truth: $219.00 Error: $6.90 SLE: 0.00 Item: Fieldpiece JL2 Job Link Wireless App Tra...\u001b[0m\n", + "\u001b[92m94: Guess: $210.44 Truth: $225.55 Error: $15.11 SLE: 0.00 Item: hansgrohe Talis S Modern Premium Easy Cl...\u001b[0m\n", + "\u001b[91m95: Guess: $191.34 Truth: $495.95 Error: $304.61 SLE: 0.90 Item: G-Technology G-SPEED eS PRO High-Perform...\u001b[0m\n", + "\u001b[91m96: Guess: $259.07 Truth: $942.37 Error: $683.30 SLE: 1.66 Item: DreamLine SHDR-1960723L-01 Shower Door, ...\u001b[0m\n", + "\u001b[91m97: Guess: $189.10 Truth: $1.94 Error: $187.16 SLE: 17.38 Item: Sanctuary Square Backplate Finish: Oiled...\u001b[0m\n", + "\u001b[93m98: Guess: $194.96 Truth: $284.34 Error: $89.38 SLE: 0.14 Item: Pelican Protector 1750 Long Case - Multi...\u001b[0m\n", + "\u001b[93m99: Guess: $227.02 Truth: $171.90 Error: $55.12 SLE: 0.08 Item: Brock Replacement Driver and Passenger H...\u001b[0m\n", + "\u001b[93m100: Guess: $188.63 Truth: $144.99 Error: $43.64 SLE: 0.07 Item: Carlinkit Ai Box Mini, Android 11, Multi...\u001b[0m\n", + "\u001b[91m101: Guess: $198.08 Truth: $470.47 Error: $272.39 SLE: 0.74 Item: StarDot NetCamLIVE2 YouTube Live Stream ...\u001b[0m\n", + "\u001b[91m102: Guess: $210.63 Truth: $66.95 Error: $143.68 SLE: 1.29 Item: Atomic Compatible FILXXCAR0016 16x25x5 M...\u001b[0m\n", + "\u001b[91m103: Guess: $206.61 Truth: $117.00 Error: $89.61 SLE: 0.32 Item: Bandai Awakening of S. H. s.h.figuarts s...\u001b[0m\n", + "\u001b[93m104: Guess: $234.24 Truth: $172.14 Error: $62.10 SLE: 0.09 Item: Fit System 62135G Passenger Side Towing ...\u001b[0m\n", + "\u001b[93m105: Guess: $283.94 Truth: $392.74 Error: $108.80 SLE: 0.10 Item: Black Horse Black Aluminum Exceed Runnin...\u001b[0m\n", + "\u001b[91m106: Guess: $188.56 Truth: $16.99 Error: $171.57 SLE: 5.55 Item: Dearsun Twinkle Star Color Night Light P...\u001b[0m\n", + "\u001b[91m107: Guess: $213.67 Truth: $1.34 Error: $212.33 SLE: 20.42 Item: Pokemon - Gallade Spirit Link (83/108) -...\u001b[0m\n", + "\u001b[91m108: Guess: $191.37 Truth: $349.98 Error: $158.61 SLE: 0.36 Item: Ibanez GA34STCE-NT GIO Series Classical ...\u001b[0m\n", + "\u001b[93m109: Guess: $237.69 Truth: $370.71 Error: $133.02 SLE: 0.20 Item: Set 2 Heavy Duty 12-16.5 12x16.5 12 Ply ...\u001b[0m\n", + "\u001b[91m110: Guess: $266.81 Truth: $65.88 Error: $200.93 SLE: 1.92 Item: Hairpin Table Legs 28\" Heavy Duty Hairpi...\u001b[0m\n", + "\u001b[92m111: Guess: $211.85 Truth: $229.99 Error: $18.14 SLE: 0.01 Item: Marada Racing Seat with Adjustable Slide...\u001b[0m\n", + "\u001b[91m112: Guess: $211.37 Truth: $9.14 Error: $202.23 SLE: 9.25 Item: Remington Industries 24UL1007STRWHI25 24...\u001b[0m\n", + "\u001b[92m113: Guess: $191.44 Truth: $199.00 Error: $7.56 SLE: 0.00 Item: Acer S3-391-6046 13.3-inch Ultrabook, In...\u001b[0m\n", + "\u001b[91m114: Guess: $194.86 Truth: $109.99 Error: $84.87 SLE: 0.32 Item: ICBEAMER 7\" RGB LED Headlights Bulb Halo...\u001b[0m\n", + "\u001b[91m115: Guess: $284.30 Truth: $570.42 Error: $286.12 SLE: 0.48 Item: R1 Concepts Front Rear Brakes and Rotors...\u001b[0m\n", + "\u001b[93m116: Guess: $193.05 Truth: $279.99 Error: $86.94 SLE: 0.14 Item: Camplux 2.64 GPM Tankless , Outdoor Port...\u001b[0m\n", + "\u001b[91m117: Guess: $191.68 Truth: $30.99 Error: $160.69 SLE: 3.22 Item: KNOKLOCK 10 Pack 3.75 Inch(96mm) Kitchen...\u001b[0m\n", + "\u001b[91m118: Guess: $189.34 Truth: $31.99 Error: $157.35 SLE: 3.07 Item: Valley Enterprises Yaesu USB FTDI CT-62 ...\u001b[0m\n", + "\u001b[91m119: Guess: $189.10 Truth: $15.90 Error: $173.20 SLE: 5.86 Item: G9 LED Light Bulbs,8W,75W 100W replaceme...\u001b[0m\n", + "\u001b[91m120: Guess: $193.83 Truth: $45.99 Error: $147.84 SLE: 2.02 Item: ZCHAOZ 4 Lights Antique White Farmhouse ...\u001b[0m\n", + "\u001b[93m121: Guess: $188.47 Truth: $113.52 Error: $74.95 SLE: 0.25 Item: Honeywell TH8320R1003 Honeywell VisionPr...\u001b[0m\n", + "\u001b[91m122: Guess: $219.12 Truth: $516.99 Error: $297.87 SLE: 0.73 Item: Patriot Exhaust H8013-1 1-7/8\" Clippster...\u001b[0m\n", + "\u001b[93m123: Guess: $256.40 Truth: $196.99 Error: $59.41 SLE: 0.07 Item: Fitrite Autopart New Front Left Driver S...\u001b[0m\n", + "\u001b[91m124: Guess: $190.78 Truth: $46.55 Error: $144.23 SLE: 1.94 Item: Technical Precision Replacement for GE G...\u001b[0m\n", + "\u001b[93m125: Guess: $252.99 Truth: $356.99 Error: $104.00 SLE: 0.12 Item: Covercraft Carhartt SeatSaver Front Row ...\u001b[0m\n", + "\u001b[91m126: Guess: $190.40 Truth: $319.95 Error: $129.55 SLE: 0.27 Item: Sennheiser SD Pro 2 (506008) - Double-Si...\u001b[0m\n", + "\u001b[91m127: Guess: $204.17 Truth: $96.06 Error: $108.11 SLE: 0.56 Item: Hitachi MAF0110 Mass Air Flow Sensor\u001b[0m\n", + "\u001b[92m128: Guess: $192.74 Truth: $190.99 Error: $1.75 SLE: 0.00 Item: AmScope SE305R-P-LED-PS36A 10X-30X LED C...\u001b[0m\n", + "\u001b[92m129: Guess: $233.53 Truth: $257.95 Error: $24.42 SLE: 0.01 Item: Front Left Driver Side Window Regulator ...\u001b[0m\n", + "\u001b[91m130: Guess: $192.95 Truth: $62.95 Error: $130.00 SLE: 1.23 Item: Premium Replica Hubcap Set, Fits Nissan ...\u001b[0m\n", + "\u001b[91m131: Guess: $211.81 Truth: $47.66 Error: $164.15 SLE: 2.18 Item: Excellerations Phonics Spelling Game for...\u001b[0m\n", + "\u001b[92m132: Guess: $215.27 Truth: $226.99 Error: $11.72 SLE: 0.00 Item: RC4WD BigDog Dual Axle Scale Car/Truck T...\u001b[0m\n", + "\u001b[91m133: Guess: $208.95 Truth: $359.95 Error: $151.00 SLE: 0.29 Item: Unknown Stage 2 Clutch Kit - Low Altitud...\u001b[0m\n", + "\u001b[91m134: Guess: $207.14 Truth: $78.40 Error: $128.74 SLE: 0.93 Item: 2002-2008 Dodge Ram 1500 Mopar 4X4 Emble...\u001b[0m\n", + "\u001b[92m135: Guess: $209.12 Truth: $172.77 Error: $36.35 SLE: 0.04 Item: Pro Comp Alloys Series 89 Wheel with Pol...\u001b[0m\n", + "\u001b[92m136: Guess: $277.95 Truth: $316.45 Error: $38.50 SLE: 0.02 Item: Detroit Axle - Front Rear Strut & Coil S...\u001b[0m\n", + "\u001b[91m137: Guess: $230.64 Truth: $87.99 Error: $142.65 SLE: 0.92 Item: ECCPP Rear Wheel Axle Replacement fit fo...\u001b[0m\n", + "\u001b[91m138: Guess: $388.29 Truth: $226.63 Error: $161.66 SLE: 0.29 Item: Dell Latitude E6520 Intel i7-2720QM 2.20...\u001b[0m\n", + "\u001b[91m139: Guess: $263.49 Truth: $31.49 Error: $232.00 SLE: 4.40 Item: F FIERCE CYCLE 251pcs Black Universal Mo...\u001b[0m\n", + "\u001b[92m140: Guess: $211.73 Truth: $196.00 Error: $15.73 SLE: 0.01 Item: Flash Furniture 4 Pk. HERCULES Series 88...\u001b[0m\n", + "\u001b[91m141: Guess: $201.96 Truth: $78.40 Error: $123.56 SLE: 0.88 Item: B&M 30287 Throttle Valve/Kickdown Cable,...\u001b[0m\n", + "\u001b[91m142: Guess: $223.45 Truth: $116.25 Error: $107.20 SLE: 0.42 Item: Gates TCK226 PowerGrip Premium Timing Be...\u001b[0m\n", + "\u001b[91m143: Guess: $203.75 Truth: $112.78 Error: $90.97 SLE: 0.35 Item: Monroe Shocks & Struts Quick-Strut 17149...\u001b[0m\n", + "\u001b[91m144: Guess: $190.13 Truth: $27.32 Error: $162.81 SLE: 3.65 Item: Feit Electric BPMR16/GU10/930CA/6 35W EQ...\u001b[0m\n", + "\u001b[93m145: Guess: $196.56 Truth: $145.91 Error: $50.65 SLE: 0.09 Item: Yellow Jacket 2806 Contractor Extension ...\u001b[0m\n", + "\u001b[93m146: Guess: $211.85 Truth: $171.09 Error: $40.76 SLE: 0.05 Item: Garage-Pro Tailgate SET Compatible with ...\u001b[0m\n", + "\u001b[92m147: Guess: $190.55 Truth: $167.95 Error: $22.60 SLE: 0.02 Item: 3M Perfect It Buffing and Polishing Kit ...\u001b[0m\n", + "\u001b[91m148: Guess: $212.36 Truth: $28.49 Error: $183.87 SLE: 3.92 Item: Chinese Style Dollhouse Model DIY Miniat...\u001b[0m\n", + "\u001b[93m149: Guess: $199.69 Truth: $122.23 Error: $77.46 SLE: 0.24 Item: Generic NRG Innovations SRK-161H Steerin...\u001b[0m\n", + "\u001b[91m150: Guess: $190.24 Truth: $32.99 Error: $157.25 SLE: 2.98 Item: Learning Resources Coding Critters Range...\u001b[0m\n", + "\u001b[91m151: Guess: $261.33 Truth: $71.20 Error: $190.13 SLE: 1.66 Item: Bosch Automotive 15463 Oxygen Sensor, OE...\u001b[0m\n", + "\u001b[91m152: Guess: $201.32 Truth: $112.75 Error: $88.57 SLE: 0.33 Item: Case of 24-2 Inch Blue Painters Tape - 6...\u001b[0m\n", + "\u001b[91m153: Guess: $259.99 Truth: $142.43 Error: $117.56 SLE: 0.36 Item: MOCA Engine Water Pump & Fan Clutch fit ...\u001b[0m\n", + "\u001b[93m154: Guess: $257.40 Truth: $398.99 Error: $141.59 SLE: 0.19 Item: SAREMAS Foot Step Bars for Hyundai Palis...\u001b[0m\n", + "\u001b[91m155: Guess: $191.41 Truth: $449.00 Error: $257.59 SLE: 0.72 Item: Gretsch G9210 Square Neck Boxcar Mahogan...\u001b[0m\n", + "\u001b[92m156: Guess: $190.24 Truth: $189.00 Error: $1.24 SLE: 0.00 Item: NikoMaku Mirror Dash Cam Front and Rear ...\u001b[0m\n", + "\u001b[93m157: Guess: $191.14 Truth: $120.91 Error: $70.23 SLE: 0.21 Item: Fenix HP25R v2.0 USB-C Rechargeable Head...\u001b[0m\n", + "\u001b[92m158: Guess: $237.07 Truth: $203.53 Error: $33.54 SLE: 0.02 Item: R&L Racing Heavy Duty Roll-Up Soft Tonne...\u001b[0m\n", + "\u001b[91m159: Guess: $188.56 Truth: $349.99 Error: $161.43 SLE: 0.38 Item: Garmin 010-02258-10 GPSMAP 64sx, Handhel...\u001b[0m\n", + "\u001b[91m160: Guess: $208.46 Truth: $34.35 Error: $174.11 SLE: 3.17 Item: Brown 5-7/8\" X 8-1/2\" X 3/16\" Thick Heav...\u001b[0m\n", + "\u001b[91m161: Guess: $191.22 Truth: $384.99 Error: $193.77 SLE: 0.49 Item: GAOMON PD2200 Pen Display & 20 Pen Nibs ...\u001b[0m\n", + "\u001b[92m162: Guess: $210.15 Truth: $211.00 Error: $0.85 SLE: 0.00 Item: VXMOTOR for 97-03 Ford F150/F250 Lightdu...\u001b[0m\n", + "\u001b[93m163: Guess: $207.87 Truth: $129.00 Error: $78.87 SLE: 0.22 Item: HP EliteBook 2540p Intel Core i7-640LM X...\u001b[0m\n", + "\u001b[91m164: Guess: $210.44 Truth: $111.45 Error: $98.99 SLE: 0.40 Item: Green EPX Mixing Nozzles 100-Pack-fits 3...\u001b[0m\n", + "\u001b[91m165: Guess: $203.56 Truth: $81.12 Error: $122.44 SLE: 0.83 Item: Box Partners 6 1/4 x 3 1/8\" 13 Pt. Manil...\u001b[0m\n", + "\u001b[91m166: Guess: $212.01 Truth: $457.08 Error: $245.07 SLE: 0.59 Item: Vixen Air 1/2\" NPT Air Ride Suspension H...\u001b[0m\n", + "\u001b[91m167: Guess: $190.96 Truth: $49.49 Error: $141.47 SLE: 1.78 Item: Smart Floor Lamp, 2700-6500K+RGBPink Mul...\u001b[0m\n", + "\u001b[91m168: Guess: $214.57 Truth: $80.56 Error: $134.01 SLE: 0.94 Item: SOZG 324mm Wheelbase Body Shell RC Car B...\u001b[0m\n", + "\u001b[92m169: Guess: $223.84 Truth: $278.39 Error: $54.55 SLE: 0.05 Item: Mickey Thompson ET Street S/S Racing Rad...\u001b[0m\n", + "\u001b[91m170: Guess: $204.93 Truth: $364.50 Error: $159.57 SLE: 0.33 Item: Pirelli 275/40R20 106W XL RFT P0 PZ4-LUX...\u001b[0m\n", + "\u001b[93m171: Guess: $234.26 Truth: $378.99 Error: $144.73 SLE: 0.23 Item: Torklift C3212 Rear Tie Down\u001b[0m\n", + "\u001b[93m172: Guess: $209.73 Truth: $165.28 Error: $44.45 SLE: 0.06 Item: Cardone 78-4226 Remanufactured Ford Comp...\u001b[0m\n", + "\u001b[91m173: Guess: $201.48 Truth: $56.74 Error: $144.74 SLE: 1.57 Item: Kidde AccessPoint 001798 Supra TouchPoin...\u001b[0m\n", + "\u001b[93m174: Guess: $209.41 Truth: $307.95 Error: $98.54 SLE: 0.15 Item: 3M Protecta 3100414 Self Retracting Life...\u001b[0m\n", + "\u001b[91m175: Guess: $187.78 Truth: $38.00 Error: $149.78 SLE: 2.49 Item: Plantronics 89435-01 Wired Headset, Blac...\u001b[0m\n", + "\u001b[91m176: Guess: $189.06 Truth: $53.00 Error: $136.06 SLE: 1.58 Item: Logitech K750 Wireless Solar Keyboard fo...\u001b[0m\n", + "\u001b[91m177: Guess: $207.80 Truth: $498.00 Error: $290.20 SLE: 0.76 Item: Olympus PEN E-PL9 Body Only with 3-Inch ...\u001b[0m\n", + "\u001b[91m178: Guess: $210.03 Truth: $53.99 Error: $156.04 SLE: 1.81 Item: Beck/Arnley 051-6066 Hub & Bearing Assem...\u001b[0m\n", + "\u001b[93m179: Guess: $253.12 Truth: $350.00 Error: $96.88 SLE: 0.10 Item: Eibach Pro-Kit Performance Springs E10-6...\u001b[0m\n", + "\u001b[93m180: Guess: $209.99 Truth: $299.95 Error: $89.96 SLE: 0.13 Item: LEGO DC Batman 1989 Batwing 76161 Displa...\u001b[0m\n", + "\u001b[91m181: Guess: $196.77 Truth: $94.93 Error: $101.84 SLE: 0.52 Item: Kingston Brass KS3608PL Restoration 4-In...\u001b[0m\n", + "\u001b[91m182: Guess: $193.96 Truth: $379.00 Error: $185.04 SLE: 0.45 Item: Polk Vanishing Series 265-LS In-Wall 3-W...\u001b[0m\n", + "\u001b[93m183: Guess: $212.42 Truth: $299.95 Error: $87.53 SLE: 0.12 Item: Spec-D Tuning LED Projector Headlights G...\u001b[0m\n", + "\u001b[91m184: Guess: $197.08 Truth: $24.99 Error: $172.09 SLE: 4.12 Item: RICHMOND & FINCH Airpod Pro Case, Green ...\u001b[0m\n", + "\u001b[91m185: Guess: $244.68 Truth: $41.04 Error: $203.64 SLE: 3.12 Item: LFA Industries 43B-5A-33JT 1/16-1/2-1.5-...\u001b[0m\n", + "\u001b[93m186: Guess: $207.27 Truth: $327.90 Error: $120.63 SLE: 0.21 Item: SAUTVS LED Headlight Assembly for Slings...\u001b[0m\n", + "\u001b[91m187: Guess: $211.83 Truth: $10.99 Error: $200.84 SLE: 8.27 Item: 2 Pack Combo Womens Safety Glasses Impac...\u001b[0m\n", + "\u001b[91m188: Guess: $197.58 Truth: $14.99 Error: $182.59 SLE: 6.35 Item: Arepa - Venezuelan cuisine - Venezuela P...\u001b[0m\n", + "\u001b[91m189: Guess: $194.77 Truth: $84.95 Error: $109.82 SLE: 0.68 Item: Schlage Lock Company KS23D2300 Padlock, ...\u001b[0m\n", + "\u001b[91m190: Guess: $192.83 Truth: $111.00 Error: $81.83 SLE: 0.30 Item: Techni Mobili White Sit to Stand Mobile ...\u001b[0m\n", + "\u001b[91m191: Guess: $207.32 Truth: $123.73 Error: $83.59 SLE: 0.26 Item: Special Lite Products Contemporary Wall ...\u001b[0m\n", + "\u001b[91m192: Guess: $193.53 Truth: $557.38 Error: $363.85 SLE: 1.11 Item: Tascam DP-24SD 24-Track Digital Portastu...\u001b[0m\n", + "\u001b[91m193: Guess: $208.37 Truth: $95.55 Error: $112.82 SLE: 0.60 Item: Glow Lighting 636CC10SP Vista Crystal Fl...\u001b[0m\n", + "\u001b[91m194: Guess: $255.01 Truth: $154.00 Error: $101.01 SLE: 0.25 Item: Z3 Wind Deflector, Smoke Tint, Lexan, Wi...\u001b[0m\n", + "\u001b[92m195: Guess: $208.11 Truth: $198.99 Error: $9.12 SLE: 0.00 Item: Olympus E-20 5MP Digital Camera w/ 4x Op...\u001b[0m\n", + "\u001b[91m196: Guess: $226.06 Truth: $430.44 Error: $204.38 SLE: 0.41 Item: PHYNEDI 1:1000 World Trade Center (1973-...\u001b[0m\n", + "\u001b[91m197: Guess: $196.46 Truth: $45.67 Error: $150.79 SLE: 2.08 Item: YANGHUAN Unstable Unicorns Adventure Car...\u001b[0m\n", + "\u001b[93m198: Guess: $188.66 Truth: $249.00 Error: $60.34 SLE: 0.08 Item: Interlogix NX-1820E NetworX Touch Screen...\u001b[0m\n", + "\u001b[91m199: Guess: $209.96 Truth: $42.99 Error: $166.97 SLE: 2.46 Item: Steering Damper,Universal Motorcycle Han...\u001b[0m\n", + "\u001b[92m200: Guess: $194.19 Truth: $181.33 Error: $12.86 SLE: 0.00 Item: Amprobe TIC 410A Hot Stick Attachment\u001b[0m\n", + "\u001b[91m201: Guess: $188.04 Truth: $6.03 Error: $182.01 SLE: 10.84 Item: MyCableMart 3.5mm Plug/Jack, 4 Conductor...\u001b[0m\n", + "\u001b[91m202: Guess: $189.03 Truth: $29.99 Error: $159.04 SLE: 3.29 Item: OtterBox + Pop Symmetry Series Case for ...\u001b[0m\n", + "\u001b[91m203: Guess: $397.17 Truth: $899.00 Error: $501.83 SLE: 0.67 Item: Dell XPS X8700-1572BLK Desktop ( Intel C...\u001b[0m\n", + "\u001b[91m204: Guess: $197.96 Truth: $399.99 Error: $202.03 SLE: 0.49 Item: Franklin Iron Works Sperry Industrial Br...\u001b[0m\n", + "\u001b[91m205: Guess: $189.57 Truth: $4.66 Error: $184.91 SLE: 12.37 Item: Avery Legal Dividers, Standard Collated ...\u001b[0m\n", + "\u001b[92m206: Guess: $217.83 Truth: $261.41 Error: $43.58 SLE: 0.03 Item: Moen 8346 Commercial Posi-Temp Pressure ...\u001b[0m\n", + "\u001b[93m207: Guess: $208.80 Truth: $136.97 Error: $71.83 SLE: 0.18 Item: Carlisle Versa Trail ATR All Terrain Rad...\u001b[0m\n", + "\u001b[91m208: Guess: $187.65 Truth: $79.00 Error: $108.65 SLE: 0.74 Item: SUNWAYFOTO 44mm Tripod Ball Head Arca Co...\u001b[0m\n", + "\u001b[91m209: Guess: $189.95 Truth: $444.99 Error: $255.04 SLE: 0.72 Item: NanoBeam AC NBE-5AC-Gen2-US 4 Units 5GHz...\u001b[0m\n", + "\u001b[91m210: Guess: $214.79 Truth: $411.94 Error: $197.15 SLE: 0.42 Item: WULF 4\" Front 2\" Rear Leveling Lift Kit ...\u001b[0m\n", + "\u001b[93m211: Guess: $212.15 Truth: $148.40 Error: $63.75 SLE: 0.13 Item: Alera ALEVABFMC Valencia Series Mobile B...\u001b[0m\n", + "\u001b[92m212: Guess: $207.27 Truth: $244.99 Error: $37.72 SLE: 0.03 Item: YU-GI-OH! Ignition Assault Booster Box\u001b[0m\n", + "\u001b[91m213: Guess: $262.45 Truth: $86.50 Error: $175.95 SLE: 1.21 Item: 48\" x 36\" Extra-Large Framed Magnetic Bl...\u001b[0m\n", + "\u001b[93m214: Guess: $406.83 Truth: $297.95 Error: $108.88 SLE: 0.10 Item: Dell Latitude D620 Renewed Notebook PC\u001b[0m\n", + "\u001b[91m215: Guess: $209.91 Truth: $399.99 Error: $190.08 SLE: 0.41 Item: acer Aspire 5 Laptop, AMD Ryzen 3 5300U ...\u001b[0m\n", + "\u001b[91m216: Guess: $212.34 Truth: $599.00 Error: $386.66 SLE: 1.07 Item: Elk 31080/6RC-GRN 30 by 6-Inch Viva 6-Li...\u001b[0m\n", + "\u001b[91m217: Guess: $210.49 Truth: $105.99 Error: $104.50 SLE: 0.46 Item: Barbie Top Model Doll\u001b[0m\n", + "\u001b[91m218: Guess: $213.76 Truth: $689.00 Error: $475.24 SLE: 1.36 Item: Danby Designer 20-In. Electric Range wit...\u001b[0m\n", + "\u001b[91m219: Guess: $212.42 Truth: $404.99 Error: $192.57 SLE: 0.41 Item: FixtureDisplays® Metal Truss Podium Doub...\u001b[0m\n", + "\u001b[93m220: Guess: $258.95 Truth: $207.76 Error: $51.19 SLE: 0.05 Item: ACDelco 13597235 GM Original Equipment A...\u001b[0m\n", + "\u001b[93m221: Guess: $218.28 Truth: $171.82 Error: $46.46 SLE: 0.06 Item: EBC S1KF1135 Stage-1 Premium Street Brak...\u001b[0m\n", + "\u001b[93m222: Guess: $208.47 Truth: $293.24 Error: $84.77 SLE: 0.12 Item: FXR Men's Boost FX Jacket (Black/Orange/...\u001b[0m\n", + "\u001b[91m223: Guess: $203.27 Truth: $374.95 Error: $171.68 SLE: 0.37 Item: SuperATV Scratch Resistant 3-in-1 Flip W...\u001b[0m\n", + "\u001b[91m224: Guess: $258.22 Truth: $111.99 Error: $146.23 SLE: 0.69 Item: SBU 3 Layer All Weather Mini Van Car Cov...\u001b[0m\n", + "\u001b[91m225: Guess: $192.94 Truth: $42.99 Error: $149.95 SLE: 2.20 Item: 2 Pack Outdoor Brochure Holder Advertisi...\u001b[0m\n", + "\u001b[91m226: Guess: $294.53 Truth: $116.71 Error: $177.82 SLE: 0.85 Item: Monroe Shocks & Struts Quick-Strut 17158...\u001b[0m\n", + "\u001b[91m227: Guess: $201.96 Truth: $118.61 Error: $83.35 SLE: 0.28 Item: Elements of Design Magellan EB235AL Thre...\u001b[0m\n", + "\u001b[93m228: Guess: $197.23 Truth: $147.12 Error: $50.11 SLE: 0.08 Item: GM Genuine Parts 15-62961 Air Conditioni...\u001b[0m\n", + "\u001b[93m229: Guess: $187.79 Truth: $119.99 Error: $67.80 SLE: 0.20 Item: Baseus 17-in-1 USB C Docking Station to ...\u001b[0m\n", + "\u001b[91m230: Guess: $214.58 Truth: $369.98 Error: $155.40 SLE: 0.29 Item: Whitehall™ Personalized Whitehall Capito...\u001b[0m\n", + "\u001b[93m231: Guess: $228.56 Truth: $315.55 Error: $86.99 SLE: 0.10 Item: Pro Circuit Works Pipe PY05250 for 02-19...\u001b[0m\n", + "\u001b[92m232: Guess: $202.42 Truth: $190.99 Error: $11.43 SLE: 0.00 Item: HYANKA 15 \"1200W Professional DJ Speaker...\u001b[0m\n", + "\u001b[92m233: Guess: $187.76 Truth: $155.00 Error: $32.76 SLE: 0.04 Item: Bluetooth X6BT Card Reader Writer Encode...\u001b[0m\n", + "\u001b[93m234: Guess: $212.05 Truth: $349.99 Error: $137.94 SLE: 0.25 Item: AIRAID Cold Air Intake System by K&N: In...\u001b[0m\n", + "\u001b[93m235: Guess: $195.15 Truth: $249.99 Error: $54.84 SLE: 0.06 Item: Bostingner Shower Faucets Sets Complete,...\u001b[0m\n", + "\u001b[91m236: Guess: $191.20 Truth: $42.99 Error: $148.21 SLE: 2.17 Item: PIT66 Front Bumper Turn Signal Lights, C...\u001b[0m\n", + "\u001b[91m237: Guess: $189.38 Truth: $17.99 Error: $171.39 SLE: 5.31 Item: Caseology Bumpy Compatible with Google P...\u001b[0m\n", + "\u001b[91m238: Guess: $197.20 Truth: $425.00 Error: $227.80 SLE: 0.59 Item: Fleck 2510 Timer Mechanical Filter Contr...\u001b[0m\n", + "\u001b[93m239: Guess: $190.62 Truth: $249.99 Error: $59.37 SLE: 0.07 Item: Haloview MC7108 Wireless RV Backup Camer...\u001b[0m\n", + "\u001b[93m240: Guess: $207.46 Truth: $138.23 Error: $69.23 SLE: 0.16 Item: Schmidt Spiele - Manhattan\u001b[0m\n", + "\u001b[91m241: Guess: $221.32 Truth: $414.99 Error: $193.67 SLE: 0.39 Item: Corsa 14333 Tip Kit (Ford Mustang GT)\u001b[0m\n", + "\u001b[92m242: Guess: $205.85 Truth: $168.28 Error: $37.57 SLE: 0.04 Item: Hoshizaki FM116A Fan Motor Kit 1\u001b[0m\n", + "\u001b[92m243: Guess: $200.98 Truth: $199.99 Error: $0.99 SLE: 0.00 Item: BAINUO Antler Chandelier Lighting,6 Ligh...\u001b[0m\n", + "\u001b[93m244: Guess: $195.78 Truth: $126.70 Error: $69.08 SLE: 0.19 Item: DNA MOTORING HL-OH-FEXP06-SM-AM Smoke Le...\u001b[0m\n", + "\u001b[91m245: Guess: $211.41 Truth: $5.91 Error: $205.50 SLE: 11.73 Item: Wera Stainless 3840/1 TS 2.5mm Hex Inser...\u001b[0m\n", + "\u001b[92m246: Guess: $192.01 Truth: $193.06 Error: $1.05 SLE: 0.00 Item: Celestron - PowerSeeker 127EQ Telescope ...\u001b[0m\n", + "\u001b[93m247: Guess: $192.94 Truth: $249.99 Error: $57.05 SLE: 0.07 Item: NHOPEEW 10.1inch Android Car Radio Carpl...\u001b[0m\n", + "\u001b[91m248: Guess: $207.64 Truth: $64.12 Error: $143.52 SLE: 1.36 Item: Other Harmonica (Suzuki-2Timer24- A)\u001b[0m\n", + "\u001b[91m249: Guess: $202.20 Truth: $114.99 Error: $87.21 SLE: 0.31 Item: Harley Air Filter Venturi Intake Air Cle...\u001b[0m\n", + "\u001b[91m250: Guess: $195.34 Truth: $926.00 Error: $730.66 SLE: 2.41 Item: Elite Screens Edge Free Ambient Light Re...\u001b[0m\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# test it\n", + "\n", + "TestRunner(linear_regression_predictor).run()" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "e126c22e-53e7-4967-9ebb-6b7dd7fe4ade", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
LinearRegression()
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" + ], + "text/plain": [ + "LinearRegression()" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from sklearn.feature_extraction.text import CountVectorizer\n", + "\n", + "np.random.seed(42)\n", + "\n", + "prices = np.array([float(item.price) for item in train])\n", + "documents = [item.test_prompt() for item in train]\n", + "vectorizer = CountVectorizer(max_features=1000, stop_words='english')\n", + "X = vectorizer.fit_transform(documents)\n", + "regressor = LinearRegression()\n", + "regressor.fit(X, prices)" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "4b7148d3-3202-4536-a75c-1627495c51d3", + "metadata": {}, + "outputs": [], + "source": [ + "def linear_regression_nlp_predictor(item):\n", + " x = vectorizer.transform([item.test_prompt()])\n", + " return max(regressor.predict(x)[0], 0)" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "id": "38f7f7d0-d22c-4282-92e5-9666a7b8535d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[93m1: Guess: $296.58 Truth: $374.41 Error: $77.83 SLE: 0.05 Item: OEM AC Compressor w/A/C Repair Kit For F...\u001b[0m\n", + "\u001b[93m2: Guess: $165.14 Truth: $225.11 Error: $59.97 SLE: 0.09 Item: Motorcraft YB3125 Fan Clutch\u001b[0m\n", + "\u001b[91m3: Guess: $162.26 Truth: $61.68 Error: $100.58 SLE: 0.92 Item: Dorman 603-159 Front Washer Fluid Reserv...\u001b[0m\n", + "\u001b[91m4: Guess: $326.14 Truth: $599.99 Error: $273.85 SLE: 0.37 Item: HP Premium 17.3-inch HD Plus Touchscreen...\u001b[0m\n", + "\u001b[92m5: Guess: $51.69 Truth: $16.99 Error: $34.70 SLE: 1.15 Item: 5-Position Super Switch Pickup Selector ...\u001b[0m\n", + "\u001b[93m6: Guess: $74.06 Truth: $31.99 Error: $42.07 SLE: 0.68 Item: Horror Bookmarks, Resin Horror Bookmarks...\u001b[0m\n", + "\u001b[91m7: Guess: $344.82 Truth: $101.79 Error: $243.03 SLE: 1.47 Item: SK6241 - 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H. s.h.figuarts s...\u001b[0m\n", + "\u001b[91m104: Guess: $268.58 Truth: $172.14 Error: $96.44 SLE: 0.20 Item: Fit System 62135G Passenger Side Towing ...\u001b[0m\n", + "\u001b[91m105: Guess: $218.92 Truth: $392.74 Error: $173.82 SLE: 0.34 Item: Black Horse Black Aluminum Exceed Runnin...\u001b[0m\n", + "\u001b[92m106: Guess: $22.51 Truth: $16.99 Error: $5.52 SLE: 0.07 Item: Dearsun Twinkle Star Color Night Light P...\u001b[0m\n", + "\u001b[93m107: Guess: $46.78 Truth: $1.34 Error: $45.44 SLE: 9.10 Item: Pokemon - Gallade Spirit Link (83/108) -...\u001b[0m\n", + "\u001b[93m108: Guess: $256.04 Truth: $349.98 Error: $93.94 SLE: 0.10 Item: Ibanez GA34STCE-NT GIO Series Classical ...\u001b[0m\n", + "\u001b[93m109: Guess: $255.82 Truth: $370.71 Error: $114.89 SLE: 0.14 Item: Set 2 Heavy Duty 12-16.5 12x16.5 12 Ply ...\u001b[0m\n", + "\u001b[91m110: Guess: $185.73 Truth: $65.88 Error: $119.85 SLE: 1.05 Item: Hairpin Table Legs 28\" Heavy Duty Hairpi...\u001b[0m\n", + "\u001b[92m111: Guess: $270.29 Truth: $229.99 Error: $40.30 SLE: 0.03 Item: Marada Racing Seat with Adjustable Slide...\u001b[0m\n", + "\u001b[93m112: Guess: $83.80 Truth: $9.14 Error: $74.66 SLE: 4.51 Item: Remington Industries 24UL1007STRWHI25 24...\u001b[0m\n", + "\u001b[91m113: Guess: $485.39 Truth: $199.00 Error: $286.39 SLE: 0.79 Item: Acer S3-391-6046 13.3-inch Ultrabook, In...\u001b[0m\n", + "\u001b[91m114: Guess: $279.62 Truth: $109.99 Error: $169.63 SLE: 0.86 Item: ICBEAMER 7\" RGB LED Headlights Bulb Halo...\u001b[0m\n", + "\u001b[93m115: Guess: $359.09 Truth: $570.42 Error: $211.33 SLE: 0.21 Item: R1 Concepts Front Rear Brakes and Rotors...\u001b[0m\n", + "\u001b[93m116: Guess: $204.85 Truth: $279.99 Error: $75.14 SLE: 0.10 Item: Camplux 2.64 GPM Tankless , Outdoor Port...\u001b[0m\n", + "\u001b[91m117: Guess: $132.76 Truth: $30.99 Error: $101.77 SLE: 2.05 Item: KNOKLOCK 10 Pack 3.75 Inch(96mm) Kitchen...\u001b[0m\n", + "\u001b[91m118: Guess: $124.75 Truth: $31.99 Error: $92.76 SLE: 1.79 Item: Valley Enterprises Yaesu USB FTDI CT-62 ...\u001b[0m\n", + "\u001b[93m119: Guess: $78.44 Truth: $15.90 Error: $62.54 SLE: 2.40 Item: G9 LED Light Bulbs,8W,75W 100W replaceme...\u001b[0m\n", + "\u001b[93m120: Guess: $118.26 Truth: $45.99 Error: $72.27 SLE: 0.87 Item: ZCHAOZ 4 Lights Antique White Farmhouse ...\u001b[0m\n", + "\u001b[92m121: Guess: $105.69 Truth: $113.52 Error: $7.83 SLE: 0.01 Item: Honeywell TH8320R1003 Honeywell VisionPr...\u001b[0m\n", + "\u001b[93m122: Guess: $353.03 Truth: $516.99 Error: $163.96 SLE: 0.14 Item: Patriot Exhaust H8013-1 1-7/8\" Clippster...\u001b[0m\n", + "\u001b[93m123: Guess: $262.23 Truth: $196.99 Error: $65.24 SLE: 0.08 Item: Fitrite Autopart New Front Left Driver S...\u001b[0m\n", + "\u001b[92m124: Guess: $74.66 Truth: $46.55 Error: $28.11 SLE: 0.22 Item: Technical Precision Replacement for GE G...\u001b[0m\n", + "\u001b[93m125: Guess: $259.26 Truth: $356.99 Error: $97.73 SLE: 0.10 Item: Covercraft Carhartt SeatSaver Front Row ...\u001b[0m\n", + "\u001b[93m126: Guess: $195.84 Truth: $319.95 Error: $124.11 SLE: 0.24 Item: Sennheiser SD Pro 2 (506008) - Double-Si...\u001b[0m\n", + "\u001b[91m127: Guess: $221.73 Truth: $96.06 Error: $125.67 SLE: 0.69 Item: Hitachi MAF0110 Mass Air Flow Sensor\u001b[0m\n", + "\u001b[92m128: Guess: $227.91 Truth: $190.99 Error: $36.92 SLE: 0.03 Item: AmScope SE305R-P-LED-PS36A 10X-30X LED C...\u001b[0m\n", + "\u001b[92m129: Guess: $271.48 Truth: $257.95 Error: $13.53 SLE: 0.00 Item: Front Left Driver Side Window Regulator ...\u001b[0m\n", + "\u001b[93m130: Guess: $132.58 Truth: $62.95 Error: $69.63 SLE: 0.54 Item: Premium Replica Hubcap Set, Fits Nissan ...\u001b[0m\n", + "\u001b[92m131: Guess: $19.46 Truth: $47.66 Error: $28.20 SLE: 0.75 Item: Excellerations Phonics Spelling Game for...\u001b[0m\n", + "\u001b[91m132: Guess: $339.20 Truth: $226.99 Error: $112.21 SLE: 0.16 Item: RC4WD BigDog Dual Axle Scale Car/Truck T...\u001b[0m\n", + "\u001b[93m133: Guess: $278.09 Truth: $359.95 Error: $81.86 SLE: 0.07 Item: Unknown Stage 2 Clutch Kit - Low Altitud...\u001b[0m\n", + "\u001b[91m134: Guess: $200.77 Truth: $78.40 Error: $122.37 SLE: 0.87 Item: 2002-2008 Dodge Ram 1500 Mopar 4X4 Emble...\u001b[0m\n", + "\u001b[91m135: Guess: $282.35 Truth: $172.77 Error: $109.58 SLE: 0.24 Item: Pro Comp Alloys Series 89 Wheel with Pol...\u001b[0m\n", + "\u001b[93m136: Guess: $247.77 Truth: $316.45 Error: $68.68 SLE: 0.06 Item: Detroit Axle - Front Rear Strut & Coil S...\u001b[0m\n", + "\u001b[91m137: Guess: $192.76 Truth: $87.99 Error: $104.77 SLE: 0.61 Item: ECCPP Rear Wheel Axle Replacement fit fo...\u001b[0m\n", + "\u001b[93m138: Guess: $281.20 Truth: $226.63 Error: $54.57 SLE: 0.05 Item: Dell Latitude E6520 Intel i7-2720QM 2.20...\u001b[0m\n", + "\u001b[91m139: Guess: $222.78 Truth: $31.49 Error: $191.29 SLE: 3.72 Item: F FIERCE CYCLE 251pcs Black Universal Mo...\u001b[0m\n", + "\u001b[92m140: Guess: $213.61 Truth: $196.00 Error: $17.61 SLE: 0.01 Item: Flash Furniture 4 Pk. HERCULES Series 88...\u001b[0m\n", + "\u001b[92m141: Guess: $96.89 Truth: $78.40 Error: $18.49 SLE: 0.04 Item: B&M 30287 Throttle Valve/Kickdown Cable,...\u001b[0m\n", + "\u001b[93m142: Guess: $194.39 Truth: $116.25 Error: $78.14 SLE: 0.26 Item: Gates TCK226 PowerGrip Premium Timing Be...\u001b[0m\n", + "\u001b[91m143: Guess: $263.61 Truth: $112.78 Error: $150.83 SLE: 0.71 Item: Monroe Shocks & Struts Quick-Strut 17149...\u001b[0m\n", + "\u001b[91m144: Guess: $151.33 Truth: $27.32 Error: $124.01 SLE: 2.83 Item: Feit Electric BPMR16/GU10/930CA/6 35W EQ...\u001b[0m\n", + "\u001b[92m145: Guess: $152.80 Truth: $145.91 Error: $6.89 SLE: 0.00 Item: Yellow Jacket 2806 Contractor Extension ...\u001b[0m\n", + "\u001b[92m146: Guess: $149.96 Truth: $171.09 Error: $21.13 SLE: 0.02 Item: Garage-Pro Tailgate SET Compatible with ...\u001b[0m\n", + "\u001b[93m147: Guess: $210.42 Truth: $167.95 Error: $42.47 SLE: 0.05 Item: 3M Perfect It Buffing and Polishing Kit ...\u001b[0m\n", + "\u001b[91m148: Guess: $140.96 Truth: $28.49 Error: $112.47 SLE: 2.47 Item: Chinese Style Dollhouse Model DIY Miniat...\u001b[0m\n", + "\u001b[91m149: Guess: $235.92 Truth: $122.23 Error: $113.69 SLE: 0.43 Item: Generic NRG Innovations SRK-161H Steerin...\u001b[0m\n", + "\u001b[91m150: Guess: $171.83 Truth: $32.99 Error: $138.84 SLE: 2.64 Item: Learning Resources Coding Critters Range...\u001b[0m\n", + "\u001b[91m151: Guess: $163.76 Truth: $71.20 Error: $92.56 SLE: 0.68 Item: Bosch Automotive 15463 Oxygen Sensor, OE...\u001b[0m\n", + "\u001b[93m152: Guess: $58.53 Truth: $112.75 Error: $54.22 SLE: 0.42 Item: Case of 24-2 Inch Blue Painters Tape - 6...\u001b[0m\n", + "\u001b[93m153: Guess: $218.31 Truth: $142.43 Error: $75.88 SLE: 0.18 Item: MOCA Engine Water Pump & Fan Clutch fit ...\u001b[0m\n", + "\u001b[93m154: Guess: $282.25 Truth: $398.99 Error: $116.74 SLE: 0.12 Item: SAREMAS Foot Step Bars for Hyundai Palis...\u001b[0m\n", + "\u001b[93m155: Guess: $302.86 Truth: $449.00 Error: $146.14 SLE: 0.15 Item: Gretsch G9210 Square Neck Boxcar Mahogan...\u001b[0m\n", + "\u001b[91m156: Guess: $391.64 Truth: $189.00 Error: $202.64 SLE: 0.53 Item: NikoMaku Mirror Dash Cam Front and Rear ...\u001b[0m\n", + "\u001b[91m157: Guess: $228.64 Truth: $120.91 Error: $107.73 SLE: 0.40 Item: Fenix HP25R v2.0 USB-C Rechargeable Head...\u001b[0m\n", + "\u001b[91m158: Guess: $288.50 Truth: $203.53 Error: $84.97 SLE: 0.12 Item: R&L Racing Heavy Duty Roll-Up Soft Tonne...\u001b[0m\n", + "\u001b[93m159: Guess: $246.48 Truth: $349.99 Error: $103.51 SLE: 0.12 Item: Garmin 010-02258-10 GPSMAP 64sx, Handhel...\u001b[0m\n", + "\u001b[92m160: Guess: $44.74 Truth: $34.35 Error: $10.39 SLE: 0.07 Item: Brown 5-7/8\" X 8-1/2\" X 3/16\" Thick Heav...\u001b[0m\n", + "\u001b[93m161: Guess: $237.98 Truth: $384.99 Error: $147.01 SLE: 0.23 Item: GAOMON PD2200 Pen Display & 20 Pen Nibs ...\u001b[0m\n", + "\u001b[92m162: Guess: $247.85 Truth: $211.00 Error: $36.85 SLE: 0.03 Item: VXMOTOR for 97-03 Ford F150/F250 Lightdu...\u001b[0m\n", + "\u001b[91m163: Guess: $392.86 Truth: $129.00 Error: $263.86 SLE: 1.23 Item: HP EliteBook 2540p Intel Core i7-640LM X...\u001b[0m\n", + "\u001b[91m164: Guess: $212.95 Truth: $111.45 Error: $101.50 SLE: 0.41 Item: Green EPX Mixing Nozzles 100-Pack-fits 3...\u001b[0m\n", + "\u001b[91m165: Guess: $251.81 Truth: $81.12 Error: $170.69 SLE: 1.26 Item: Box Partners 6 1/4 x 3 1/8\" 13 Pt. Manil...\u001b[0m\n", + "\u001b[91m166: Guess: $246.36 Truth: $457.08 Error: $210.72 SLE: 0.38 Item: Vixen Air 1/2\" NPT Air Ride Suspension H...\u001b[0m\n", + "\u001b[91m167: Guess: $213.16 Truth: $49.49 Error: $163.67 SLE: 2.09 Item: Smart Floor Lamp, 2700-6500K+RGBPink Mul...\u001b[0m\n", + "\u001b[93m168: Guess: $150.56 Truth: $80.56 Error: $70.00 SLE: 0.38 Item: SOZG 324mm Wheelbase Body Shell RC Car B...\u001b[0m\n", + "\u001b[93m169: Guess: $335.11 Truth: $278.39 Error: $56.72 SLE: 0.03 Item: Mickey Thompson ET Street S/S Racing Rad...\u001b[0m\n", + "\u001b[93m170: Guess: $262.32 Truth: $364.50 Error: $102.18 SLE: 0.11 Item: Pirelli 275/40R20 106W XL RFT P0 PZ4-LUX...\u001b[0m\n", + "\u001b[92m171: Guess: $331.71 Truth: $378.99 Error: $47.28 SLE: 0.02 Item: Torklift C3212 Rear Tie Down\u001b[0m\n", + "\u001b[93m172: Guess: $205.37 Truth: $165.28 Error: $40.09 SLE: 0.05 Item: Cardone 78-4226 Remanufactured Ford Comp...\u001b[0m\n", + "\u001b[91m173: Guess: $163.48 Truth: $56.74 Error: $106.74 SLE: 1.10 Item: Kidde AccessPoint 001798 Supra TouchPoin...\u001b[0m\n", + "\u001b[93m174: Guess: $208.04 Truth: $307.95 Error: $99.91 SLE: 0.15 Item: 3M Protecta 3100414 Self Retracting Life...\u001b[0m\n", + "\u001b[91m175: Guess: $139.91 Truth: $38.00 Error: $101.91 SLE: 1.65 Item: Plantronics 89435-01 Wired Headset, Blac...\u001b[0m\n", + "\u001b[91m176: Guess: $182.46 Truth: $53.00 Error: $129.46 SLE: 1.50 Item: Logitech K750 Wireless Solar Keyboard fo...\u001b[0m\n", + "\u001b[92m177: Guess: $425.16 Truth: $498.00 Error: $72.84 SLE: 0.02 Item: Olympus PEN E-PL9 Body Only with 3-Inch ...\u001b[0m\n", + "\u001b[93m178: Guess: $130.02 Truth: $53.99 Error: $76.03 SLE: 0.75 Item: Beck/Arnley 051-6066 Hub & Bearing Assem...\u001b[0m\n", + "\u001b[93m179: Guess: $231.02 Truth: $350.00 Error: $118.98 SLE: 0.17 Item: Eibach Pro-Kit Performance Springs E10-6...\u001b[0m\n", + "\u001b[93m180: Guess: $215.97 Truth: $299.95 Error: $83.98 SLE: 0.11 Item: LEGO DC Batman 1989 Batwing 76161 Displa...\u001b[0m\n", + "\u001b[91m181: Guess: $204.17 Truth: $94.93 Error: $109.24 SLE: 0.58 Item: Kingston Brass KS3608PL Restoration 4-In...\u001b[0m\n", + "\u001b[93m182: Guess: $267.22 Truth: $379.00 Error: $111.78 SLE: 0.12 Item: Polk Vanishing Series 265-LS In-Wall 3-W...\u001b[0m\n", + "\u001b[92m183: Guess: $275.83 Truth: $299.95 Error: $24.12 SLE: 0.01 Item: Spec-D Tuning LED Projector Headlights G...\u001b[0m\n", + "\u001b[93m184: Guess: $88.00 Truth: $24.99 Error: $63.01 SLE: 1.52 Item: RICHMOND & FINCH Airpod Pro Case, Green ...\u001b[0m\n", + "\u001b[91m185: Guess: $240.87 Truth: $41.04 Error: $199.83 SLE: 3.06 Item: LFA Industries 43B-5A-33JT 1/16-1/2-1.5-...\u001b[0m\n", + "\u001b[91m186: Guess: $97.60 Truth: $327.90 Error: $230.30 SLE: 1.45 Item: SAUTVS LED Headlight Assembly for Slings...\u001b[0m\n", + "\u001b[91m187: Guess: $204.80 Truth: $10.99 Error: $193.81 SLE: 8.08 Item: 2 Pack Combo Womens Safety Glasses Impac...\u001b[0m\n", + "\u001b[92m188: Guess: $36.23 Truth: $14.99 Error: $21.24 SLE: 0.71 Item: Arepa - Venezuelan cuisine - Venezuela P...\u001b[0m\n", + "\u001b[91m189: Guess: $209.54 Truth: $84.95 Error: $124.59 SLE: 0.80 Item: Schlage Lock Company KS23D2300 Padlock, ...\u001b[0m\n", + "\u001b[91m190: Guess: $196.07 Truth: $111.00 Error: $85.07 SLE: 0.32 Item: Techni Mobili White Sit to Stand Mobile ...\u001b[0m\n", + "\u001b[93m191: Guess: $195.32 Truth: $123.73 Error: $71.59 SLE: 0.21 Item: Special Lite Products Contemporary Wall ...\u001b[0m\n", + "\u001b[91m192: Guess: $188.61 Truth: $557.38 Error: $368.77 SLE: 1.17 Item: Tascam DP-24SD 24-Track Digital Portastu...\u001b[0m\n", + "\u001b[91m193: Guess: $210.68 Truth: $95.55 Error: $115.13 SLE: 0.62 Item: Glow Lighting 636CC10SP Vista Crystal Fl...\u001b[0m\n", + "\u001b[92m194: Guess: $181.51 Truth: $154.00 Error: $27.51 SLE: 0.03 Item: Z3 Wind Deflector, Smoke Tint, Lexan, Wi...\u001b[0m\n", + "\u001b[91m195: Guess: $346.23 Truth: $198.99 Error: $147.24 SLE: 0.30 Item: Olympus E-20 5MP Digital Camera w/ 4x Op...\u001b[0m\n", + "\u001b[91m196: Guess: $255.54 Truth: $430.44 Error: $174.90 SLE: 0.27 Item: PHYNEDI 1:1000 World Trade Center (1973-...\u001b[0m\n", + "\u001b[93m197: Guess: $0.00 Truth: $45.67 Error: $45.67 SLE: 14.77 Item: YANGHUAN Unstable Unicorns Adventure Car...\u001b[0m\n", + "\u001b[92m198: Guess: $220.49 Truth: $249.00 Error: $28.51 SLE: 0.01 Item: Interlogix NX-1820E NetworX Touch Screen...\u001b[0m\n", + "\u001b[92m199: Guess: $63.52 Truth: $42.99 Error: $20.53 SLE: 0.15 Item: Steering Damper,Universal Motorcycle Han...\u001b[0m\n", + "\u001b[92m200: Guess: $173.71 Truth: $181.33 Error: $7.62 SLE: 0.00 Item: Amprobe TIC 410A Hot Stick Attachment\u001b[0m\n", + "\u001b[91m201: Guess: $109.21 Truth: $6.03 Error: $103.18 SLE: 7.57 Item: MyCableMart 3.5mm Plug/Jack, 4 Conductor...\u001b[0m\n", + "\u001b[91m202: Guess: $110.06 Truth: $29.99 Error: $80.07 SLE: 1.63 Item: OtterBox + Pop Symmetry Series Case for ...\u001b[0m\n", + "\u001b[91m203: Guess: $395.83 Truth: $899.00 Error: $503.17 SLE: 0.67 Item: Dell XPS X8700-1572BLK Desktop ( Intel C...\u001b[0m\n", + "\u001b[92m204: Guess: $413.81 Truth: $399.99 Error: $13.82 SLE: 0.00 Item: Franklin Iron Works Sperry Industrial Br...\u001b[0m\n", + "\u001b[91m205: Guess: $178.44 Truth: $4.66 Error: $173.78 SLE: 11.95 Item: Avery Legal Dividers, Standard Collated ...\u001b[0m\n", + "\u001b[93m206: Guess: $183.03 Truth: $261.41 Error: $78.38 SLE: 0.13 Item: Moen 8346 Commercial Posi-Temp Pressure ...\u001b[0m\n", + "\u001b[91m207: Guess: $312.93 Truth: $136.97 Error: $175.96 SLE: 0.68 Item: Carlisle Versa Trail ATR All Terrain Rad...\u001b[0m\n", + "\u001b[93m208: Guess: $145.74 Truth: $79.00 Error: $66.74 SLE: 0.37 Item: SUNWAYFOTO 44mm Tripod Ball Head Arca Co...\u001b[0m\n", + "\u001b[91m209: Guess: $166.98 Truth: $444.99 Error: $278.01 SLE: 0.95 Item: NanoBeam AC NBE-5AC-Gen2-US 4 Units 5GHz...\u001b[0m\n", + "\u001b[93m210: Guess: $248.28 Truth: $411.94 Error: $163.66 SLE: 0.25 Item: WULF 4\" Front 2\" Rear Leveling Lift Kit ...\u001b[0m\n", + "\u001b[92m211: Guess: $148.51 Truth: $148.40 Error: $0.11 SLE: 0.00 Item: Alera ALEVABFMC Valencia Series Mobile B...\u001b[0m\n", + "\u001b[91m212: Guess: $89.95 Truth: $244.99 Error: $155.04 SLE: 0.99 Item: YU-GI-OH! Ignition Assault Booster Box\u001b[0m\n", + "\u001b[91m213: Guess: $323.49 Truth: $86.50 Error: $236.99 SLE: 1.72 Item: 48\" x 36\" Extra-Large Framed Magnetic Bl...\u001b[0m\n", + "\u001b[92m214: Guess: $332.80 Truth: $297.95 Error: $34.85 SLE: 0.01 Item: Dell Latitude D620 Renewed Notebook PC\u001b[0m\n", + "\u001b[91m215: Guess: $598.74 Truth: $399.99 Error: $198.75 SLE: 0.16 Item: acer Aspire 5 Laptop, AMD Ryzen 3 5300U ...\u001b[0m\n", + "\u001b[91m216: Guess: $127.95 Truth: $599.00 Error: $471.05 SLE: 2.36 Item: Elk 31080/6RC-GRN 30 by 6-Inch Viva 6-Li...\u001b[0m\n", + "\u001b[91m217: Guess: $235.11 Truth: $105.99 Error: $129.12 SLE: 0.63 Item: Barbie Top Model Doll\u001b[0m\n", + "\u001b[91m218: Guess: $401.45 Truth: $689.00 Error: $287.55 SLE: 0.29 Item: Danby Designer 20-In. Electric Range wit...\u001b[0m\n", + "\u001b[93m219: Guess: $247.40 Truth: $404.99 Error: $157.59 SLE: 0.24 Item: FixtureDisplays® Metal Truss Podium Doub...\u001b[0m\n", + "\u001b[92m220: Guess: $189.46 Truth: $207.76 Error: $18.30 SLE: 0.01 Item: ACDelco 13597235 GM Original Equipment A...\u001b[0m\n", + "\u001b[91m221: Guess: $267.65 Truth: $171.82 Error: $95.83 SLE: 0.19 Item: EBC S1KF1135 Stage-1 Premium Street Brak...\u001b[0m\n", + "\u001b[93m222: Guess: $221.85 Truth: $293.24 Error: $71.39 SLE: 0.08 Item: FXR Men's Boost FX Jacket (Black/Orange/...\u001b[0m\n", + "\u001b[91m223: Guess: $213.19 Truth: $374.95 Error: $161.76 SLE: 0.32 Item: SuperATV Scratch Resistant 3-in-1 Flip W...\u001b[0m\n", + "\u001b[92m224: Guess: $124.39 Truth: $111.99 Error: $12.40 SLE: 0.01 Item: SBU 3 Layer All Weather Mini Van Car Cov...\u001b[0m\n", + "\u001b[93m225: Guess: $86.85 Truth: $42.99 Error: $43.86 SLE: 0.48 Item: 2 Pack Outdoor Brochure Holder Advertisi...\u001b[0m\n", + "\u001b[91m226: Guess: $248.36 Truth: $116.71 Error: $131.65 SLE: 0.56 Item: Monroe Shocks & Struts Quick-Strut 17158...\u001b[0m\n", + "\u001b[91m227: Guess: $310.35 Truth: $118.61 Error: $191.74 SLE: 0.92 Item: Elements of Design Magellan EB235AL Thre...\u001b[0m\n", + "\u001b[91m228: Guess: $241.37 Truth: $147.12 Error: $94.25 SLE: 0.24 Item: GM Genuine Parts 15-62961 Air Conditioni...\u001b[0m\n", + "\u001b[91m229: Guess: $242.05 Truth: $119.99 Error: $122.06 SLE: 0.49 Item: Baseus 17-in-1 USB C Docking Station to ...\u001b[0m\n", + "\u001b[93m230: Guess: $247.50 Truth: $369.98 Error: $122.48 SLE: 0.16 Item: Whitehall™ Personalized Whitehall Capito...\u001b[0m\n", + "\u001b[92m231: Guess: $274.61 Truth: $315.55 Error: $40.94 SLE: 0.02 Item: Pro Circuit Works Pipe PY05250 for 02-19...\u001b[0m\n", + "\u001b[93m232: Guess: $255.65 Truth: $190.99 Error: $64.66 SLE: 0.08 Item: HYANKA 15 \"1200W Professional DJ Speaker...\u001b[0m\n", + "\u001b[93m233: Guess: $83.32 Truth: $155.00 Error: $71.68 SLE: 0.38 Item: Bluetooth X6BT Card Reader Writer Encode...\u001b[0m\n", + "\u001b[92m234: Guess: $331.34 Truth: $349.99 Error: $18.65 SLE: 0.00 Item: AIRAID Cold Air Intake System by K&N: In...\u001b[0m\n", + "\u001b[92m235: Guess: $236.16 Truth: $249.99 Error: $13.83 SLE: 0.00 Item: Bostingner Shower Faucets Sets Complete,...\u001b[0m\n", + "\u001b[91m236: Guess: $128.41 Truth: $42.99 Error: $85.42 SLE: 1.16 Item: PIT66 Front Bumper Turn Signal Lights, C...\u001b[0m\n", + "\u001b[93m237: Guess: $63.43 Truth: $17.99 Error: $45.44 SLE: 1.49 Item: Caseology Bumpy Compatible with Google P...\u001b[0m\n", + "\u001b[91m238: Guess: $252.08 Truth: $425.00 Error: $172.92 SLE: 0.27 Item: Fleck 2510 Timer Mechanical Filter Contr...\u001b[0m\n", + "\u001b[93m239: Guess: $343.13 Truth: $249.99 Error: $93.14 SLE: 0.10 Item: Haloview MC7108 Wireless RV Backup Camer...\u001b[0m\n", + "\u001b[91m240: Guess: $21.15 Truth: $138.23 Error: $117.08 SLE: 3.38 Item: Schmidt Spiele - Manhattan\u001b[0m\n", + "\u001b[92m241: Guess: $395.59 Truth: $414.99 Error: $19.40 SLE: 0.00 Item: Corsa 14333 Tip Kit (Ford Mustang GT)\u001b[0m\n", + "\u001b[92m242: Guess: $193.62 Truth: $168.28 Error: $25.34 SLE: 0.02 Item: Hoshizaki FM116A Fan Motor Kit 1\u001b[0m\n", + "\u001b[93m243: Guess: $268.18 Truth: $199.99 Error: $68.19 SLE: 0.09 Item: BAINUO Antler Chandelier Lighting,6 Ligh...\u001b[0m\n", + "\u001b[91m244: Guess: $252.22 Truth: $126.70 Error: $125.52 SLE: 0.47 Item: DNA MOTORING HL-OH-FEXP06-SM-AM Smoke Le...\u001b[0m\n", + "\u001b[91m245: Guess: $120.28 Truth: $5.91 Error: $114.37 SLE: 8.21 Item: Wera Stainless 3840/1 TS 2.5mm Hex Inser...\u001b[0m\n", + "\u001b[92m246: Guess: $201.22 Truth: $193.06 Error: $8.16 SLE: 0.00 Item: Celestron - PowerSeeker 127EQ Telescope ...\u001b[0m\n", + "\u001b[93m247: Guess: $313.24 Truth: $249.99 Error: $63.25 SLE: 0.05 Item: NHOPEEW 10.1inch Android Car Radio Carpl...\u001b[0m\n", + "\u001b[91m248: Guess: $188.60 Truth: $64.12 Error: $124.48 SLE: 1.14 Item: Other Harmonica (Suzuki-2Timer24- A)\u001b[0m\n", + "\u001b[91m249: Guess: $299.09 Truth: $114.99 Error: $184.10 SLE: 0.90 Item: Harley Air Filter Venturi Intake Air Cle...\u001b[0m\n", + "\u001b[91m250: Guess: $177.13 Truth: $926.00 Error: $748.87 SLE: 2.72 Item: Elite Screens Edge Free Ambient Light Re...\u001b[0m\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# test it\n", + "TestRunner(linear_regression_nlp_predictor).run()" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "id": "b623079e-54fa-418f-b209-7d54ebbcc23a", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "from sklearn.linear_model import LinearRegression\n", + "from gensim.models import Word2Vec\n", + "from gensim.utils import simple_preprocess\n", + "from sklearn.metrics import mean_squared_error, r2_score\n", + "\n", + "np.random.seed(42)\n", + "\n", + "# Preprocess the documents\n", + "processed_docs = [simple_preprocess(doc) for doc in documents]\n", + "\n", + "# Train Word2Vec model\n", + "w2v_model = Word2Vec(sentences=processed_docs, vector_size=300, window=5, min_count=1, workers=8)" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "id": "3de4efc7-68a6-4443-b9fd-70ee9d722362", + "metadata": {}, + "outputs": [], + "source": [ + "def document_vector(doc):\n", + " doc_words = simple_preprocess(doc)\n", + " word_vectors = [w2v_model.wv[word] for word in doc_words if word in w2v_model.wv]\n", + " return np.mean(word_vectors, axis=0) if word_vectors else np.zeros(w2v_model.vector_size)\n", + "\n", + "# Create feature matrix\n", + "X = np.array([document_vector(doc) for doc in documents])" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "9f05eeec-dab8-4007-8e8c-dcf4175b8861", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
LinearRegression()
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
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" + ], + "text/plain": [ + "LinearRegression()" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "word2vec_lr_regressor = LinearRegression()\n", + "word2vec_lr_regressor.fit(X, prices)" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "id": "e43d3fb9-e013-4573-90bf-9a522132b555", + "metadata": {}, + "outputs": [], + "source": [ + "def word2vec_lr_predictor(item):\n", + " doc = item.test_prompt()\n", + " doc_vector = document_vector(doc)\n", + " return max(0, word2vec_lr_regressor.predict([doc_vector])[0])" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "id": "6740319d-5c8e-4125-9106-97e2e8ab72c7", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[93m1: Guess: $249.71 Truth: $374.41 Error: $124.70 SLE: 0.16 Item: OEM AC Compressor w/A/C Repair Kit For F...\u001b[0m\n", + "\u001b[93m2: Guess: $165.39 Truth: $225.11 Error: $59.72 SLE: 0.09 Item: Motorcraft YB3125 Fan Clutch\u001b[0m\n", + "\u001b[93m3: Guess: $132.55 Truth: $61.68 Error: $70.87 SLE: 0.57 Item: Dorman 603-159 Front Washer Fluid Reserv...\u001b[0m\n", + "\u001b[91m4: Guess: $354.64 Truth: $599.99 Error: $245.35 SLE: 0.28 Item: HP Premium 17.3-inch HD Plus Touchscreen...\u001b[0m\n", + "\u001b[91m5: Guess: $119.04 Truth: $16.99 Error: $102.05 SLE: 3.60 Item: 5-Position Super Switch Pickup Selector ...\u001b[0m\n", + "\u001b[92m6: Guess: $0.00 Truth: $31.99 Error: $31.99 SLE: 12.22 Item: Horror Bookmarks, Resin Horror Bookmarks...\u001b[0m\n", + "\u001b[91m7: Guess: $307.87 Truth: $101.79 Error: $206.08 SLE: 1.21 Item: SK6241 - 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H. s.h.figuarts s...\u001b[0m\n", + "\u001b[91m104: Guess: $357.20 Truth: $172.14 Error: $185.06 SLE: 0.53 Item: Fit System 62135G Passenger Side Towing ...\u001b[0m\n", + "\u001b[93m105: Guess: $257.84 Truth: $392.74 Error: $134.90 SLE: 0.18 Item: Black Horse Black Aluminum Exceed Runnin...\u001b[0m\n", + "\u001b[92m106: Guess: $19.76 Truth: $16.99 Error: $2.77 SLE: 0.02 Item: Dearsun Twinkle Star Color Night Light P...\u001b[0m\n", + "\u001b[93m107: Guess: $54.40 Truth: $1.34 Error: $53.06 SLE: 10.01 Item: Pokemon - Gallade Spirit Link (83/108) -...\u001b[0m\n", + "\u001b[92m108: Guess: $319.83 Truth: $349.98 Error: $30.15 SLE: 0.01 Item: Ibanez GA34STCE-NT GIO Series Classical ...\u001b[0m\n", + "\u001b[93m109: Guess: $265.53 Truth: $370.71 Error: $105.18 SLE: 0.11 Item: Set 2 Heavy Duty 12-16.5 12x16.5 12 Ply ...\u001b[0m\n", + "\u001b[91m110: Guess: $154.13 Truth: $65.88 Error: $88.25 SLE: 0.71 Item: Hairpin Table Legs 28\" Heavy Duty Hairpi...\u001b[0m\n", + "\u001b[93m111: Guess: $176.32 Truth: $229.99 Error: $53.67 SLE: 0.07 Item: Marada Racing Seat with Adjustable Slide...\u001b[0m\n", + "\u001b[93m112: Guess: $85.82 Truth: $9.14 Error: $76.68 SLE: 4.61 Item: Remington Industries 24UL1007STRWHI25 24...\u001b[0m\n", + "\u001b[91m113: Guess: $393.53 Truth: $199.00 Error: $194.53 SLE: 0.46 Item: Acer S3-391-6046 13.3-inch Ultrabook, In...\u001b[0m\n", + "\u001b[91m114: Guess: $267.96 Truth: $109.99 Error: $157.97 SLE: 0.78 Item: ICBEAMER 7\" RGB LED Headlights Bulb Halo...\u001b[0m\n", + "\u001b[91m115: Guess: $329.30 Truth: $570.42 Error: $241.12 SLE: 0.30 Item: R1 Concepts Front Rear Brakes and Rotors...\u001b[0m\n", + "\u001b[92m116: Guess: $245.60 Truth: $279.99 Error: $34.39 SLE: 0.02 Item: Camplux 2.64 GPM Tankless , Outdoor Port...\u001b[0m\n", + "\u001b[91m117: Guess: $118.62 Truth: $30.99 Error: $87.63 SLE: 1.74 Item: KNOKLOCK 10 Pack 3.75 Inch(96mm) Kitchen...\u001b[0m\n", + "\u001b[91m118: Guess: $217.37 Truth: $31.99 Error: $185.38 SLE: 3.57 Item: Valley Enterprises Yaesu USB FTDI CT-62 ...\u001b[0m\n", + "\u001b[93m119: Guess: $80.30 Truth: $15.90 Error: $64.40 SLE: 2.47 Item: G9 LED Light Bulbs,8W,75W 100W replaceme...\u001b[0m\n", + "\u001b[92m120: Guess: $80.08 Truth: $45.99 Error: $34.09 SLE: 0.30 Item: ZCHAOZ 4 Lights Antique White Farmhouse ...\u001b[0m\n", + "\u001b[91m121: Guess: $249.52 Truth: $113.52 Error: $136.00 SLE: 0.61 Item: Honeywell TH8320R1003 Honeywell VisionPr...\u001b[0m\n", + "\u001b[93m122: Guess: $320.61 Truth: $516.99 Error: $196.38 SLE: 0.23 Item: Patriot Exhaust H8013-1 1-7/8\" Clippster...\u001b[0m\n", + "\u001b[92m123: Guess: $208.16 Truth: $196.99 Error: $11.17 SLE: 0.00 Item: Fitrite Autopart New Front Left Driver S...\u001b[0m\n", + "\u001b[92m124: Guess: $46.54 Truth: $46.55 Error: $0.01 SLE: 0.00 Item: Technical Precision Replacement for GE G...\u001b[0m\n", + "\u001b[93m125: Guess: $238.88 Truth: $356.99 Error: $118.11 SLE: 0.16 Item: Covercraft Carhartt SeatSaver Front Row ...\u001b[0m\n", + "\u001b[91m126: Guess: $110.85 Truth: $319.95 Error: $209.10 SLE: 1.11 Item: Sennheiser SD Pro 2 (506008) - Double-Si...\u001b[0m\n", + "\u001b[91m127: Guess: $215.39 Truth: $96.06 Error: $119.33 SLE: 0.64 Item: Hitachi MAF0110 Mass Air Flow Sensor\u001b[0m\n", + "\u001b[91m128: Guess: $322.20 Truth: $190.99 Error: $131.21 SLE: 0.27 Item: AmScope SE305R-P-LED-PS36A 10X-30X LED C...\u001b[0m\n", + "\u001b[91m129: Guess: $154.01 Truth: $257.95 Error: $103.94 SLE: 0.26 Item: Front Left Driver Side Window Regulator ...\u001b[0m\n", + "\u001b[93m130: Guess: $141.50 Truth: $62.95 Error: $78.55 SLE: 0.64 Item: Premium Replica Hubcap Set, Fits Nissan ...\u001b[0m\n", + "\u001b[92m131: Guess: $48.38 Truth: $47.66 Error: $0.72 SLE: 0.00 Item: Excellerations Phonics Spelling Game for...\u001b[0m\n", + "\u001b[92m132: Guess: $236.45 Truth: $226.99 Error: $9.46 SLE: 0.00 Item: RC4WD BigDog Dual Axle Scale Car/Truck T...\u001b[0m\n", + "\u001b[92m133: Guess: $324.45 Truth: $359.95 Error: $35.50 SLE: 0.01 Item: Unknown Stage 2 Clutch Kit - Low Altitud...\u001b[0m\n", + "\u001b[91m134: Guess: $244.14 Truth: $78.40 Error: $165.74 SLE: 1.27 Item: 2002-2008 Dodge Ram 1500 Mopar 4X4 Emble...\u001b[0m\n", + "\u001b[91m135: Guess: $357.98 Truth: $172.77 Error: $185.21 SLE: 0.53 Item: Pro Comp Alloys Series 89 Wheel with Pol...\u001b[0m\n", + "\u001b[91m136: Guess: $177.86 Truth: $316.45 Error: $138.59 SLE: 0.33 Item: Detroit Axle - Front Rear Strut & Coil S...\u001b[0m\n", + "\u001b[93m137: Guess: $131.63 Truth: $87.99 Error: $43.64 SLE: 0.16 Item: ECCPP Rear Wheel Axle Replacement fit fo...\u001b[0m\n", + "\u001b[91m138: Guess: $329.47 Truth: $226.63 Error: $102.84 SLE: 0.14 Item: Dell Latitude E6520 Intel i7-2720QM 2.20...\u001b[0m\n", + "\u001b[91m139: Guess: $143.41 Truth: $31.49 Error: $111.92 SLE: 2.23 Item: F FIERCE CYCLE 251pcs Black Universal Mo...\u001b[0m\n", + "\u001b[92m140: Guess: $199.91 Truth: $196.00 Error: $3.91 SLE: 0.00 Item: Flash Furniture 4 Pk. HERCULES Series 88...\u001b[0m\n", + "\u001b[91m141: Guess: $193.90 Truth: $78.40 Error: $115.50 SLE: 0.81 Item: B&M 30287 Throttle Valve/Kickdown Cable,...\u001b[0m\n", + "\u001b[91m142: Guess: $230.95 Truth: $116.25 Error: $114.70 SLE: 0.47 Item: Gates TCK226 PowerGrip Premium Timing Be...\u001b[0m\n", + "\u001b[91m143: Guess: $276.53 Truth: $112.78 Error: $163.75 SLE: 0.80 Item: Monroe Shocks & Struts Quick-Strut 17149...\u001b[0m\n", + "\u001b[91m144: Guess: $175.15 Truth: $27.32 Error: $147.83 SLE: 3.34 Item: Feit Electric BPMR16/GU10/930CA/6 35W EQ...\u001b[0m\n", + "\u001b[91m145: Guess: $236.13 Truth: $145.91 Error: $90.22 SLE: 0.23 Item: Yellow Jacket 2806 Contractor Extension ...\u001b[0m\n", + "\u001b[92m146: Guess: $185.19 Truth: $171.09 Error: $14.10 SLE: 0.01 Item: Garage-Pro Tailgate SET Compatible with ...\u001b[0m\n", + "\u001b[93m147: Guess: $228.41 Truth: $167.95 Error: $60.46 SLE: 0.09 Item: 3M Perfect It Buffing and Polishing Kit ...\u001b[0m\n", + "\u001b[93m148: Guess: $103.96 Truth: $28.49 Error: $75.47 SLE: 1.61 Item: Chinese Style Dollhouse Model DIY Miniat...\u001b[0m\n", + "\u001b[91m149: Guess: $236.69 Truth: $122.23 Error: $114.46 SLE: 0.43 Item: Generic NRG Innovations SRK-161H Steerin...\u001b[0m\n", + "\u001b[91m150: Guess: $119.21 Truth: $32.99 Error: $86.22 SLE: 1.60 Item: Learning Resources Coding Critters Range...\u001b[0m\n", + "\u001b[91m151: Guess: $224.46 Truth: $71.20 Error: $153.26 SLE: 1.30 Item: Bosch Automotive 15463 Oxygen Sensor, OE...\u001b[0m\n", + "\u001b[93m152: Guess: $43.20 Truth: $112.75 Error: $69.55 SLE: 0.89 Item: Case of 24-2 Inch Blue Painters Tape - 6...\u001b[0m\n", + "\u001b[92m153: Guess: $136.55 Truth: $142.43 Error: $5.88 SLE: 0.00 Item: MOCA Engine Water Pump & Fan Clutch fit ...\u001b[0m\n", + "\u001b[91m154: Guess: $189.50 Truth: $398.99 Error: $209.49 SLE: 0.55 Item: SAREMAS Foot Step Bars for Hyundai Palis...\u001b[0m\n", + "\u001b[92m155: Guess: $386.64 Truth: $449.00 Error: $62.36 SLE: 0.02 Item: Gretsch G9210 Square Neck Boxcar Mahogan...\u001b[0m\n", + "\u001b[91m156: Guess: $303.75 Truth: $189.00 Error: $114.75 SLE: 0.22 Item: NikoMaku Mirror Dash Cam Front and Rear ...\u001b[0m\n", + "\u001b[91m157: Guess: $227.45 Truth: $120.91 Error: $106.54 SLE: 0.39 Item: Fenix HP25R v2.0 USB-C Rechargeable Head...\u001b[0m\n", + "\u001b[91m158: Guess: $286.72 Truth: $203.53 Error: $83.19 SLE: 0.12 Item: R&L Racing Heavy Duty Roll-Up Soft Tonne...\u001b[0m\n", + "\u001b[92m159: Guess: $302.61 Truth: $349.99 Error: $47.38 SLE: 0.02 Item: Garmin 010-02258-10 GPSMAP 64sx, Handhel...\u001b[0m\n", + "\u001b[92m160: Guess: $36.71 Truth: $34.35 Error: $2.36 SLE: 0.00 Item: Brown 5-7/8\" X 8-1/2\" X 3/16\" Thick Heav...\u001b[0m\n", + "\u001b[91m161: Guess: $222.15 Truth: $384.99 Error: $162.84 SLE: 0.30 Item: GAOMON PD2200 Pen Display & 20 Pen Nibs ...\u001b[0m\n", + "\u001b[92m162: Guess: $215.61 Truth: $211.00 Error: $4.61 SLE: 0.00 Item: VXMOTOR for 97-03 Ford F150/F250 Lightdu...\u001b[0m\n", + "\u001b[91m163: Guess: $452.82 Truth: $129.00 Error: $323.82 SLE: 1.56 Item: HP EliteBook 2540p Intel Core i7-640LM X...\u001b[0m\n", + "\u001b[92m164: Guess: $147.21 Truth: $111.45 Error: $35.76 SLE: 0.08 Item: Green EPX Mixing Nozzles 100-Pack-fits 3...\u001b[0m\n", + "\u001b[91m165: Guess: $222.60 Truth: $81.12 Error: $141.48 SLE: 1.00 Item: Box Partners 6 1/4 x 3 1/8\" 13 Pt. Manil...\u001b[0m\n", + "\u001b[91m166: Guess: $256.45 Truth: $457.08 Error: $200.63 SLE: 0.33 Item: Vixen Air 1/2\" NPT Air Ride Suspension H...\u001b[0m\n", + "\u001b[91m167: Guess: $156.62 Truth: $49.49 Error: $107.13 SLE: 1.30 Item: Smart Floor Lamp, 2700-6500K+RGBPink Mul...\u001b[0m\n", + "\u001b[93m168: Guess: $131.84 Truth: $80.56 Error: $51.28 SLE: 0.24 Item: SOZG 324mm Wheelbase Body Shell RC Car B...\u001b[0m\n", + "\u001b[92m169: Guess: $263.40 Truth: $278.39 Error: $14.99 SLE: 0.00 Item: Mickey Thompson ET Street S/S Racing Rad...\u001b[0m\n", + "\u001b[93m170: Guess: $241.80 Truth: $364.50 Error: $122.70 SLE: 0.17 Item: Pirelli 275/40R20 106W XL RFT P0 PZ4-LUX...\u001b[0m\n", + "\u001b[92m171: Guess: $452.28 Truth: $378.99 Error: $73.29 SLE: 0.03 Item: Torklift C3212 Rear Tie Down\u001b[0m\n", + "\u001b[93m172: Guess: $241.45 Truth: $165.28 Error: $76.17 SLE: 0.14 Item: Cardone 78-4226 Remanufactured Ford Comp...\u001b[0m\n", + "\u001b[91m173: Guess: $245.23 Truth: $56.74 Error: $188.49 SLE: 2.10 Item: Kidde AccessPoint 001798 Supra TouchPoin...\u001b[0m\n", + "\u001b[93m174: Guess: $189.51 Truth: $307.95 Error: $118.44 SLE: 0.23 Item: 3M Protecta 3100414 Self Retracting Life...\u001b[0m\n", + "\u001b[91m175: Guess: $156.63 Truth: $38.00 Error: $118.63 SLE: 1.95 Item: Plantronics 89435-01 Wired Headset, Blac...\u001b[0m\n", + "\u001b[91m176: Guess: $203.58 Truth: $53.00 Error: $150.58 SLE: 1.77 Item: Logitech K750 Wireless Solar Keyboard fo...\u001b[0m\n", + "\u001b[93m177: Guess: $348.93 Truth: $498.00 Error: $149.07 SLE: 0.13 Item: Olympus PEN E-PL9 Body Only with 3-Inch ...\u001b[0m\n", + "\u001b[91m178: Guess: $212.27 Truth: $53.99 Error: $158.28 SLE: 1.84 Item: Beck/Arnley 051-6066 Hub & Bearing Assem...\u001b[0m\n", + "\u001b[93m179: Guess: $257.40 Truth: $350.00 Error: $92.60 SLE: 0.09 Item: Eibach Pro-Kit Performance Springs E10-6...\u001b[0m\n", + "\u001b[93m180: Guess: $222.60 Truth: $299.95 Error: $77.35 SLE: 0.09 Item: LEGO DC Batman 1989 Batwing 76161 Displa...\u001b[0m\n", + "\u001b[91m181: Guess: $282.33 Truth: $94.93 Error: $187.40 SLE: 1.17 Item: Kingston Brass KS3608PL Restoration 4-In...\u001b[0m\n", + "\u001b[92m182: Guess: $320.44 Truth: $379.00 Error: $58.56 SLE: 0.03 Item: Polk Vanishing Series 265-LS In-Wall 3-W...\u001b[0m\n", + "\u001b[92m183: Guess: $252.59 Truth: $299.95 Error: $47.36 SLE: 0.03 Item: Spec-D Tuning LED Projector Headlights G...\u001b[0m\n", + "\u001b[92m184: Guess: $36.39 Truth: $24.99 Error: $11.40 SLE: 0.13 Item: RICHMOND & FINCH Airpod Pro Case, Green ...\u001b[0m\n", + "\u001b[91m185: Guess: $235.50 Truth: $41.04 Error: $194.46 SLE: 2.98 Item: LFA Industries 43B-5A-33JT 1/16-1/2-1.5-...\u001b[0m\n", + "\u001b[91m186: Guess: $147.46 Truth: $327.90 Error: $180.44 SLE: 0.63 Item: SAUTVS LED Headlight Assembly for Slings...\u001b[0m\n", + "\u001b[93m187: Guess: $73.53 Truth: $10.99 Error: $62.54 SLE: 3.34 Item: 2 Pack Combo Womens Safety Glasses Impac...\u001b[0m\n", + "\u001b[92m188: Guess: $15.68 Truth: $14.99 Error: $0.69 SLE: 0.00 Item: Arepa - Venezuelan cuisine - Venezuela P...\u001b[0m\n", + "\u001b[91m189: Guess: $181.11 Truth: $84.95 Error: $96.16 SLE: 0.56 Item: Schlage Lock Company KS23D2300 Padlock, ...\u001b[0m\n", + "\u001b[91m190: Guess: $270.00 Truth: $111.00 Error: $159.00 SLE: 0.78 Item: Techni Mobili White Sit to Stand Mobile ...\u001b[0m\n", + "\u001b[91m191: Guess: $220.38 Truth: $123.73 Error: $96.65 SLE: 0.33 Item: Special Lite Products Contemporary Wall ...\u001b[0m\n", + "\u001b[91m192: Guess: $177.97 Truth: $557.38 Error: $379.41 SLE: 1.29 Item: Tascam DP-24SD 24-Track Digital Portastu...\u001b[0m\n", + "\u001b[91m193: Guess: $213.51 Truth: $95.55 Error: $117.96 SLE: 0.64 Item: Glow Lighting 636CC10SP Vista Crystal Fl...\u001b[0m\n", + "\u001b[93m194: Guess: $220.50 Truth: $154.00 Error: $66.50 SLE: 0.13 Item: Z3 Wind Deflector, Smoke Tint, Lexan, Wi...\u001b[0m\n", + "\u001b[91m195: Guess: $306.84 Truth: $198.99 Error: $107.85 SLE: 0.19 Item: Olympus E-20 5MP Digital Camera w/ 4x Op...\u001b[0m\n", + "\u001b[93m196: Guess: $259.58 Truth: $430.44 Error: $170.86 SLE: 0.25 Item: PHYNEDI 1:1000 World Trade Center (1973-...\u001b[0m\n", + "\u001b[92m197: Guess: $62.05 Truth: $45.67 Error: $16.38 SLE: 0.09 Item: YANGHUAN Unstable Unicorns Adventure Car...\u001b[0m\n", + "\u001b[92m198: Guess: $257.00 Truth: $249.00 Error: $8.00 SLE: 0.00 Item: Interlogix NX-1820E NetworX Touch Screen...\u001b[0m\n", + "\u001b[91m199: Guess: $164.86 Truth: $42.99 Error: $121.87 SLE: 1.76 Item: Steering Damper,Universal Motorcycle Han...\u001b[0m\n", + "\u001b[92m200: Guess: $168.62 Truth: $181.33 Error: $12.71 SLE: 0.01 Item: Amprobe TIC 410A Hot Stick Attachment\u001b[0m\n", + "\u001b[92m201: Guess: $13.86 Truth: $6.03 Error: $7.83 SLE: 0.56 Item: MyCableMart 3.5mm Plug/Jack, 4 Conductor...\u001b[0m\n", + "\u001b[91m202: Guess: $137.33 Truth: $29.99 Error: $107.34 SLE: 2.24 Item: OtterBox + Pop Symmetry Series Case for ...\u001b[0m\n", + "\u001b[91m203: Guess: $480.61 Truth: $899.00 Error: $418.39 SLE: 0.39 Item: Dell XPS X8700-1572BLK Desktop ( Intel C...\u001b[0m\n", + "\u001b[91m204: Guess: $228.45 Truth: $399.99 Error: $171.54 SLE: 0.31 Item: Franklin Iron Works Sperry Industrial Br...\u001b[0m\n", + "\u001b[91m205: Guess: $140.72 Truth: $4.66 Error: $136.06 SLE: 10.37 Item: Avery Legal Dividers, Standard Collated ...\u001b[0m\n", + "\u001b[92m206: Guess: $254.93 Truth: $261.41 Error: $6.48 SLE: 0.00 Item: Moen 8346 Commercial Posi-Temp Pressure ...\u001b[0m\n", + "\u001b[91m207: Guess: $258.13 Truth: $136.97 Error: $121.16 SLE: 0.40 Item: Carlisle Versa Trail ATR All Terrain Rad...\u001b[0m\n", + "\u001b[91m208: Guess: $210.23 Truth: $79.00 Error: $131.23 SLE: 0.94 Item: SUNWAYFOTO 44mm Tripod Ball Head Arca Co...\u001b[0m\n", + "\u001b[91m209: Guess: $237.58 Truth: $444.99 Error: $207.41 SLE: 0.39 Item: NanoBeam AC NBE-5AC-Gen2-US 4 Units 5GHz...\u001b[0m\n", + "\u001b[93m210: Guess: $259.37 Truth: $411.94 Error: $152.57 SLE: 0.21 Item: WULF 4\" Front 2\" Rear Leveling Lift Kit ...\u001b[0m\n", + "\u001b[91m211: Guess: $248.87 Truth: $148.40 Error: $100.47 SLE: 0.26 Item: Alera ALEVABFMC Valencia Series Mobile B...\u001b[0m\n", + "\u001b[91m212: Guess: $54.89 Truth: $244.99 Error: $190.10 SLE: 2.20 Item: YU-GI-OH! Ignition Assault Booster Box\u001b[0m\n", + "\u001b[91m213: Guess: $195.50 Truth: $86.50 Error: $109.00 SLE: 0.65 Item: 48\" x 36\" Extra-Large Framed Magnetic Bl...\u001b[0m\n", + "\u001b[91m214: Guess: $421.53 Truth: $297.95 Error: $123.58 SLE: 0.12 Item: Dell Latitude D620 Renewed Notebook PC\u001b[0m\n", + "\u001b[91m215: Guess: $567.22 Truth: $399.99 Error: $167.23 SLE: 0.12 Item: acer Aspire 5 Laptop, AMD Ryzen 3 5300U ...\u001b[0m\n", + "\u001b[91m216: Guess: $279.97 Truth: $599.00 Error: $319.03 SLE: 0.58 Item: Elk 31080/6RC-GRN 30 by 6-Inch Viva 6-Li...\u001b[0m\n", + "\u001b[91m217: Guess: $187.88 Truth: $105.99 Error: $81.89 SLE: 0.32 Item: Barbie Top Model Doll\u001b[0m\n", + "\u001b[91m218: Guess: $293.06 Truth: $689.00 Error: $395.94 SLE: 0.73 Item: Danby Designer 20-In. Electric Range wit...\u001b[0m\n", + "\u001b[93m219: Guess: $294.58 Truth: $404.99 Error: $110.41 SLE: 0.10 Item: FixtureDisplays® Metal Truss Podium Doub...\u001b[0m\n", + "\u001b[92m220: Guess: $199.09 Truth: $207.76 Error: $8.67 SLE: 0.00 Item: ACDelco 13597235 GM Original Equipment A...\u001b[0m\n", + "\u001b[91m221: Guess: $288.20 Truth: $171.82 Error: $116.38 SLE: 0.27 Item: EBC S1KF1135 Stage-1 Premium Street Brak...\u001b[0m\n", + "\u001b[92m222: Guess: $284.08 Truth: $293.24 Error: $9.16 SLE: 0.00 Item: FXR Men's Boost FX Jacket (Black/Orange/...\u001b[0m\n", + "\u001b[92m223: Guess: $325.46 Truth: $374.95 Error: $49.49 SLE: 0.02 Item: SuperATV Scratch Resistant 3-in-1 Flip W...\u001b[0m\n", + "\u001b[92m224: Guess: $120.88 Truth: $111.99 Error: $8.89 SLE: 0.01 Item: SBU 3 Layer All Weather Mini Van Car Cov...\u001b[0m\n", + "\u001b[92m225: Guess: $11.09 Truth: $42.99 Error: $31.90 SLE: 1.67 Item: 2 Pack Outdoor Brochure Holder Advertisi...\u001b[0m\n", + "\u001b[91m226: Guess: $267.77 Truth: $116.71 Error: $151.06 SLE: 0.68 Item: Monroe Shocks & Struts Quick-Strut 17158...\u001b[0m\n", + "\u001b[91m227: Guess: $258.16 Truth: $118.61 Error: $139.55 SLE: 0.60 Item: Elements of Design Magellan EB235AL Thre...\u001b[0m\n", + "\u001b[91m228: Guess: $230.11 Truth: $147.12 Error: $82.99 SLE: 0.20 Item: GM Genuine Parts 15-62961 Air Conditioni...\u001b[0m\n", + "\u001b[93m229: Guess: $181.78 Truth: $119.99 Error: $61.79 SLE: 0.17 Item: Baseus 17-in-1 USB C Docking Station to ...\u001b[0m\n", + "\u001b[91m230: Guess: $182.74 Truth: $369.98 Error: $187.24 SLE: 0.49 Item: Whitehall™ Personalized Whitehall Capito...\u001b[0m\n", + "\u001b[92m231: Guess: $255.78 Truth: $315.55 Error: $59.77 SLE: 0.04 Item: Pro Circuit Works Pipe PY05250 for 02-19...\u001b[0m\n", + "\u001b[91m232: Guess: $349.95 Truth: $190.99 Error: $158.96 SLE: 0.36 Item: HYANKA 15 \"1200W Professional DJ Speaker...\u001b[0m\n", + "\u001b[92m233: Guess: $129.93 Truth: $155.00 Error: $25.07 SLE: 0.03 Item: Bluetooth X6BT Card Reader Writer Encode...\u001b[0m\n", + "\u001b[92m234: Guess: $314.97 Truth: $349.99 Error: $35.02 SLE: 0.01 Item: AIRAID Cold Air Intake System by K&N: In...\u001b[0m\n", + "\u001b[92m235: Guess: $214.25 Truth: $249.99 Error: $35.74 SLE: 0.02 Item: Bostingner Shower Faucets Sets Complete,...\u001b[0m\n", + "\u001b[91m236: Guess: $157.07 Truth: $42.99 Error: $114.08 SLE: 1.64 Item: PIT66 Front Bumper Turn Signal Lights, C...\u001b[0m\n", + "\u001b[93m237: Guess: $81.94 Truth: $17.99 Error: $63.95 SLE: 2.17 Item: Caseology Bumpy Compatible with Google P...\u001b[0m\n", + "\u001b[91m238: Guess: $248.06 Truth: $425.00 Error: $176.94 SLE: 0.29 Item: Fleck 2510 Timer Mechanical Filter Contr...\u001b[0m\n", + "\u001b[93m239: Guess: $336.12 Truth: $249.99 Error: $86.13 SLE: 0.09 Item: Haloview MC7108 Wireless RV Backup Camer...\u001b[0m\n", + "\u001b[93m240: Guess: $88.10 Truth: $138.23 Error: $50.13 SLE: 0.20 Item: Schmidt Spiele - Manhattan\u001b[0m\n", + "\u001b[93m241: Guess: $291.63 Truth: $414.99 Error: $123.36 SLE: 0.12 Item: Corsa 14333 Tip Kit (Ford Mustang GT)\u001b[0m\n", + "\u001b[92m242: Guess: $193.70 Truth: $168.28 Error: $25.42 SLE: 0.02 Item: Hoshizaki FM116A Fan Motor Kit 1\u001b[0m\n", + "\u001b[92m243: Guess: $176.01 Truth: $199.99 Error: $23.98 SLE: 0.02 Item: BAINUO Antler Chandelier Lighting,6 Ligh...\u001b[0m\n", + "\u001b[91m244: Guess: $254.14 Truth: $126.70 Error: $127.44 SLE: 0.48 Item: DNA MOTORING HL-OH-FEXP06-SM-AM Smoke Le...\u001b[0m\n", + "\u001b[91m245: Guess: $87.59 Truth: $5.91 Error: $81.68 SLE: 6.51 Item: Wera Stainless 3840/1 TS 2.5mm Hex Inser...\u001b[0m\n", + "\u001b[93m246: Guess: $235.04 Truth: $193.06 Error: $41.98 SLE: 0.04 Item: Celestron - PowerSeeker 127EQ Telescope ...\u001b[0m\n", + "\u001b[92m247: Guess: $295.61 Truth: $249.99 Error: $45.62 SLE: 0.03 Item: NHOPEEW 10.1inch Android Car Radio Carpl...\u001b[0m\n", + "\u001b[91m248: Guess: $227.49 Truth: $64.12 Error: $163.37 SLE: 1.58 Item: Other Harmonica (Suzuki-2Timer24- A)\u001b[0m\n", + "\u001b[91m249: Guess: $296.94 Truth: $114.99 Error: $181.95 SLE: 0.89 Item: Harley Air Filter Venturi Intake Air Cle...\u001b[0m\n", + "\u001b[91m250: Guess: $157.99 Truth: $926.00 Error: $768.01 SLE: 3.11 Item: Elite Screens Edge Free Ambient Light Re...\u001b[0m\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "TestRunner(word2vec_lr_predictor).run()" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "id": "fefaa7ff-23e8-4834-9c13-a8c074a2b2ed", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "RandomForestRegressor(n_jobs=8, random_state=42)" + ] + }, + "execution_count": 72, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from sklearn.ensemble import RandomForestRegressor\n", + "\n", + "rf_model = RandomForestRegressor(n_estimators=100, random_state=42, n_jobs=8)\n", + "rf_model.fit(X, prices)" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "id": "aec04c82-0d5d-4d2b-9c3c-f619a5dc766b", + "metadata": {}, + "outputs": [], + "source": [ + "def random_forest_predictor(item):\n", + " doc = item.test_prompt()\n", + " doc_vector = document_vector(doc)\n", + " return max(0, rf_model.predict([doc_vector])[0])" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "id": "aa836ee2-f4ff-4e03-a0e4-c7faa4d99ed5", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[92m1: Guess: $320.73 Truth: $374.41 Error: $53.68 SLE: 0.02 Item: OEM AC Compressor w/A/C Repair Kit For F...\u001b[0m\n", + "\u001b[92m2: Guess: $197.62 Truth: $225.11 Error: $27.49 SLE: 0.02 Item: Motorcraft YB3125 Fan Clutch\u001b[0m\n", + "\u001b[93m3: Guess: $121.43 Truth: $61.68 Error: $59.75 SLE: 0.45 Item: Dorman 603-159 Front Washer Fluid Reserv...\u001b[0m\n", + "\u001b[93m4: Guess: $398.28 Truth: $599.99 Error: $201.71 SLE: 0.17 Item: HP Premium 17.3-inch HD Plus Touchscreen...\u001b[0m\n", + "\u001b[91m5: Guess: $205.61 Truth: $16.99 Error: $188.62 SLE: 5.96 Item: 5-Position Super Switch Pickup Selector ...\u001b[0m\n", + "\u001b[92m6: Guess: $23.21 Truth: $31.99 Error: $8.78 SLE: 0.10 Item: Horror Bookmarks, Resin Horror Bookmarks...\u001b[0m\n", + "\u001b[91m7: Guess: $216.48 Truth: $101.79 Error: $114.69 SLE: 0.56 Item: SK6241 - 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for 2013-2016 Toyota ...\u001b[0m\n", + "\u001b[91m76: Guess: $301.73 Truth: $132.64 Error: $169.09 SLE: 0.67 Item: Roland RPU-3 Electronic Keyboard Pedal o...\u001b[0m\n", + "\u001b[93m77: Guess: $288.37 Truth: $422.99 Error: $134.62 SLE: 0.15 Item: Rockland VMI14 12,000 Pound 12 Volt DC E...\u001b[0m\n", + "\u001b[92m78: Guess: $167.75 Truth: $146.48 Error: $21.27 SLE: 0.02 Item: Max Advanced Brakes Elite XDS Front Cros...\u001b[0m\n", + "\u001b[92m79: Guess: $176.21 Truth: $156.83 Error: $19.38 SLE: 0.01 Item: Quality-Built 11030 Premium Quality Alte...\u001b[0m\n", + "\u001b[92m80: Guess: $297.17 Truth: $251.99 Error: $45.18 SLE: 0.03 Item: Lucida LG-510 Student Classical Guitar, ...\u001b[0m\n", + "\u001b[91m81: Guess: $210.70 Truth: $940.33 Error: $729.63 SLE: 2.23 Item: Longacre 52-79800 Aluminum Turn Plates\u001b[0m\n", + "\u001b[91m82: Guess: $168.02 Truth: $52.99 Error: $115.03 SLE: 1.30 Item: Motion Pro 08-0380 Adjustable Torque Wre...\u001b[0m\n", + "\u001b[93m83: Guess: $161.43 Truth: $219.95 Error: $58.52 SLE: 0.09 Item: Glyph Thunderbolt 3 NVMe Dock (0 GB)\u001b[0m\n", + "\u001b[93m84: Guess: $273.75 Truth: $441.03 Error: $167.28 SLE: 0.23 Item: TOYO Open Country MT Performance Radial ...\u001b[0m\n", + "\u001b[91m85: Guess: $333.07 Truth: $168.98 Error: $164.09 SLE: 0.46 Item: Razer Seiren X USB Streaming Microphone ...\u001b[0m\n", + "\u001b[93m86: Guess: $80.95 Truth: $2.49 Error: $78.46 SLE: 9.96 Item: Happy Birthday to Dad From Your Daughter...\u001b[0m\n", + "\u001b[91m87: Guess: $241.12 Truth: $98.62 Error: $142.50 SLE: 0.79 Item: Little Tikes My Real Jam First Concert S...\u001b[0m\n", + "\u001b[91m88: Guess: $150.91 Truth: $256.95 Error: $106.04 SLE: 0.28 Item: Studio M Peace and Harmony Art Pole Comm...\u001b[0m\n", + "\u001b[91m89: Guess: $120.68 Truth: $30.99 Error: $89.69 SLE: 1.78 Item: MyVolts 12V Power Supply Adaptor Compati...\u001b[0m\n", + "\u001b[93m90: Guess: $439.65 Truth: $569.84 Error: $130.19 SLE: 0.07 Item: Dell Latitude 7212 Rugged Extreme Tablet...\u001b[0m\n", + "\u001b[92m91: Guess: $183.57 Truth: $177.99 Error: $5.58 SLE: 0.00 Item: Covermates Contour Fit Car Cover - Light...\u001b[0m\n", + "\u001b[93m92: Guess: $756.53 Truth: $997.99 Error: $241.46 SLE: 0.08 Item: Westin 57-4025 Black HDX Grille Guard fi...\u001b[0m\n", + "\u001b[93m93: Guess: $276.22 Truth: $219.00 Error: $57.22 SLE: 0.05 Item: Fieldpiece JL2 Job Link Wireless App Tra...\u001b[0m\n", + "\u001b[93m94: Guess: $295.60 Truth: $225.55 Error: $70.05 SLE: 0.07 Item: hansgrohe Talis S Modern Premium Easy Cl...\u001b[0m\n", + "\u001b[91m95: Guess: $295.29 Truth: $495.95 Error: $200.66 SLE: 0.27 Item: G-Technology G-SPEED eS PRO High-Perform...\u001b[0m\n", + "\u001b[92m96: Guess: $778.38 Truth: $942.37 Error: $163.99 SLE: 0.04 Item: DreamLine SHDR-1960723L-01 Shower Door, ...\u001b[0m\n", + "\u001b[91m97: Guess: $240.55 Truth: $1.94 Error: $238.61 SLE: 19.44 Item: Sanctuary Square Backplate Finish: Oiled...\u001b[0m\n", + "\u001b[93m98: Guess: $175.81 Truth: $284.34 Error: $108.53 SLE: 0.23 Item: Pelican Protector 1750 Long Case - Multi...\u001b[0m\n", + "\u001b[92m99: Guess: $211.62 Truth: $171.90 Error: $39.72 SLE: 0.04 Item: Brock Replacement Driver and Passenger H...\u001b[0m\n", + "\u001b[92m100: Guess: $138.75 Truth: $144.99 Error: $6.24 SLE: 0.00 Item: Carlinkit Ai Box Mini, Android 11, Multi...\u001b[0m\n", + "\u001b[91m101: Guess: $274.00 Truth: $470.47 Error: $196.47 SLE: 0.29 Item: StarDot NetCamLIVE2 YouTube Live Stream ...\u001b[0m\n", + "\u001b[91m102: Guess: $250.28 Truth: $66.95 Error: $183.33 SLE: 1.71 Item: Atomic Compatible FILXXCAR0016 16x25x5 M...\u001b[0m\n", + "\u001b[91m103: Guess: $203.68 Truth: $117.00 Error: $86.68 SLE: 0.30 Item: Bandai Awakening of S. H. s.h.figuarts s...\u001b[0m\n", + "\u001b[93m104: Guess: $251.61 Truth: $172.14 Error: $79.47 SLE: 0.14 Item: Fit System 62135G Passenger Side Towing ...\u001b[0m\n", + "\u001b[92m105: Guess: $343.98 Truth: $392.74 Error: $48.76 SLE: 0.02 Item: Black Horse Black Aluminum Exceed Runnin...\u001b[0m\n", + "\u001b[92m106: Guess: $43.92 Truth: $16.99 Error: $26.93 SLE: 0.84 Item: Dearsun Twinkle Star Color Night Light P...\u001b[0m\n", + "\u001b[92m107: Guess: $23.03 Truth: $1.34 Error: $21.69 SLE: 5.43 Item: Pokemon - Gallade Spirit Link (83/108) -...\u001b[0m\n", + "\u001b[92m108: Guess: $359.14 Truth: $349.98 Error: $9.16 SLE: 0.00 Item: Ibanez GA34STCE-NT GIO Series Classical ...\u001b[0m\n", + "\u001b[92m109: Guess: $401.56 Truth: $370.71 Error: $30.85 SLE: 0.01 Item: Set 2 Heavy Duty 12-16.5 12x16.5 12 Ply ...\u001b[0m\n", + "\u001b[93m110: Guess: $139.57 Truth: $65.88 Error: $73.69 SLE: 0.55 Item: Hairpin Table Legs 28\" Heavy Duty Hairpi...\u001b[0m\n", + "\u001b[91m111: Guess: $125.67 Truth: $229.99 Error: $104.32 SLE: 0.36 Item: Marada Racing Seat with Adjustable Slide...\u001b[0m\n", + "\u001b[91m112: Guess: $156.32 Truth: $9.14 Error: $147.18 SLE: 7.52 Item: Remington Industries 24UL1007STRWHI25 24...\u001b[0m\n", + "\u001b[91m113: Guess: $599.57 Truth: $199.00 Error: $400.57 SLE: 1.21 Item: Acer S3-391-6046 13.3-inch Ultrabook, In...\u001b[0m\n", + "\u001b[91m114: Guess: $301.65 Truth: $109.99 Error: $191.66 SLE: 1.01 Item: ICBEAMER 7\" RGB LED Headlights Bulb Halo...\u001b[0m\n", + "\u001b[93m115: Guess: $362.57 Truth: $570.42 Error: $207.85 SLE: 0.20 Item: R1 Concepts Front Rear Brakes and Rotors...\u001b[0m\n", + "\u001b[92m116: Guess: $317.22 Truth: $279.99 Error: $37.23 SLE: 0.02 Item: Camplux 2.64 GPM Tankless , Outdoor Port...\u001b[0m\n", + "\u001b[91m117: Guess: $132.20 Truth: $30.99 Error: $101.21 SLE: 2.03 Item: KNOKLOCK 10 Pack 3.75 Inch(96mm) Kitchen...\u001b[0m\n", + "\u001b[91m118: Guess: $131.03 Truth: $31.99 Error: $99.04 SLE: 1.92 Item: Valley Enterprises Yaesu USB FTDI CT-62 ...\u001b[0m\n", + "\u001b[91m119: Guess: $128.78 Truth: $15.90 Error: $112.88 SLE: 4.16 Item: G9 LED Light Bulbs,8W,75W 100W replaceme...\u001b[0m\n", + "\u001b[91m120: Guess: $143.68 Truth: $45.99 Error: $97.69 SLE: 1.26 Item: ZCHAOZ 4 Lights Antique White Farmhouse ...\u001b[0m\n", + "\u001b[91m121: Guess: $232.41 Truth: $113.52 Error: $118.89 SLE: 0.51 Item: Honeywell TH8320R1003 Honeywell VisionPr...\u001b[0m\n", + "\u001b[91m122: Guess: $284.96 Truth: $516.99 Error: $232.03 SLE: 0.35 Item: Patriot Exhaust H8013-1 1-7/8\" Clippster...\u001b[0m\n", + "\u001b[92m123: Guess: $231.66 Truth: $196.99 Error: $34.67 SLE: 0.03 Item: Fitrite Autopart New Front Left Driver S...\u001b[0m\n", + "\u001b[93m124: Guess: $111.38 Truth: $46.55 Error: $64.83 SLE: 0.74 Item: Technical Precision Replacement for GE G...\u001b[0m\n", + "\u001b[92m125: Guess: $287.67 Truth: $356.99 Error: $69.32 SLE: 0.05 Item: Covercraft Carhartt SeatSaver Front Row ...\u001b[0m\n", + "\u001b[91m126: Guess: $181.71 Truth: $319.95 Error: $138.24 SLE: 0.32 Item: Sennheiser SD Pro 2 (506008) - Double-Si...\u001b[0m\n", + "\u001b[93m127: Guess: $151.20 Truth: $96.06 Error: $55.14 SLE: 0.20 Item: Hitachi MAF0110 Mass Air Flow Sensor\u001b[0m\n", + "\u001b[91m128: Guess: $300.91 Truth: $190.99 Error: $109.92 SLE: 0.20 Item: AmScope SE305R-P-LED-PS36A 10X-30X LED C...\u001b[0m\n", + "\u001b[93m129: Guess: $160.75 Truth: $257.95 Error: $97.20 SLE: 0.22 Item: Front Left Driver Side Window Regulator ...\u001b[0m\n", + "\u001b[91m130: Guess: $187.83 Truth: $62.95 Error: $124.88 SLE: 1.17 Item: Premium Replica Hubcap Set, Fits Nissan ...\u001b[0m\n", + "\u001b[92m131: Guess: $56.72 Truth: $47.66 Error: $9.06 SLE: 0.03 Item: Excellerations Phonics Spelling Game for...\u001b[0m\n", + "\u001b[92m132: Guess: $203.50 Truth: $226.99 Error: $23.49 SLE: 0.01 Item: RC4WD BigDog Dual Axle Scale Car/Truck T...\u001b[0m\n", + "\u001b[92m133: Guess: $339.29 Truth: $359.95 Error: $20.66 SLE: 0.00 Item: Unknown Stage 2 Clutch Kit - Low Altitud...\u001b[0m\n", + "\u001b[91m134: Guess: $262.64 Truth: $78.40 Error: $184.24 SLE: 1.44 Item: 2002-2008 Dodge Ram 1500 Mopar 4X4 Emble...\u001b[0m\n", + "\u001b[92m135: Guess: $200.85 Truth: $172.77 Error: $28.08 SLE: 0.02 Item: Pro Comp Alloys Series 89 Wheel with Pol...\u001b[0m\n", + "\u001b[92m136: Guess: $321.33 Truth: $316.45 Error: $4.88 SLE: 0.00 Item: Detroit Axle - Front Rear Strut & Coil S...\u001b[0m\n", + "\u001b[91m137: Guess: $205.62 Truth: $87.99 Error: $117.63 SLE: 0.71 Item: ECCPP Rear Wheel Axle Replacement fit fo...\u001b[0m\n", + "\u001b[91m138: Guess: $361.55 Truth: $226.63 Error: $134.92 SLE: 0.22 Item: Dell Latitude E6520 Intel i7-2720QM 2.20...\u001b[0m\n", + "\u001b[91m139: Guess: $144.22 Truth: $31.49 Error: $112.73 SLE: 2.24 Item: F FIERCE CYCLE 251pcs Black Universal Mo...\u001b[0m\n", + "\u001b[93m140: Guess: $243.43 Truth: $196.00 Error: $47.43 SLE: 0.05 Item: Flash Furniture 4 Pk. HERCULES Series 88...\u001b[0m\n", + "\u001b[93m141: Guess: $157.19 Truth: $78.40 Error: $78.79 SLE: 0.48 Item: B&M 30287 Throttle Valve/Kickdown Cable,...\u001b[0m\n", + "\u001b[92m142: Guess: $128.54 Truth: $116.25 Error: $12.29 SLE: 0.01 Item: Gates TCK226 PowerGrip Premium Timing Be...\u001b[0m\n", + "\u001b[92m143: Guess: $122.12 Truth: $112.78 Error: $9.34 SLE: 0.01 Item: Monroe Shocks & Struts Quick-Strut 17149...\u001b[0m\n", + "\u001b[93m144: Guess: $90.01 Truth: $27.32 Error: $62.69 SLE: 1.36 Item: Feit Electric BPMR16/GU10/930CA/6 35W EQ...\u001b[0m\n", + "\u001b[92m145: Guess: $138.28 Truth: $145.91 Error: $7.63 SLE: 0.00 Item: Yellow Jacket 2806 Contractor Extension ...\u001b[0m\n", + "\u001b[93m146: Guess: $225.44 Truth: $171.09 Error: $54.35 SLE: 0.08 Item: Garage-Pro Tailgate SET Compatible with ...\u001b[0m\n", + "\u001b[93m147: Guess: $127.00 Truth: $167.95 Error: $40.95 SLE: 0.08 Item: 3M Perfect It Buffing and Polishing Kit ...\u001b[0m\n", + "\u001b[92m148: Guess: $49.82 Truth: $28.49 Error: $21.33 SLE: 0.30 Item: Chinese Style Dollhouse Model DIY Miniat...\u001b[0m\n", + "\u001b[91m149: Guess: $241.10 Truth: $122.23 Error: $118.87 SLE: 0.46 Item: Generic NRG Innovations SRK-161H Steerin...\u001b[0m\n", + "\u001b[91m150: Guess: $120.52 Truth: $32.99 Error: $87.53 SLE: 1.62 Item: Learning Resources Coding Critters Range...\u001b[0m\n", + "\u001b[93m151: Guess: $150.94 Truth: $71.20 Error: $79.74 SLE: 0.55 Item: Bosch Automotive 15463 Oxygen Sensor, OE...\u001b[0m\n", + "\u001b[92m152: Guess: $89.28 Truth: $112.75 Error: $23.47 SLE: 0.05 Item: Case of 24-2 Inch Blue Painters Tape - 6...\u001b[0m\n", + "\u001b[92m153: Guess: $169.68 Truth: $142.43 Error: $27.25 SLE: 0.03 Item: MOCA Engine Water Pump & Fan Clutch fit ...\u001b[0m\n", + "\u001b[93m154: Guess: $257.27 Truth: $398.99 Error: $141.72 SLE: 0.19 Item: SAREMAS Foot Step Bars for Hyundai Palis...\u001b[0m\n", + "\u001b[92m155: Guess: $458.76 Truth: $449.00 Error: $9.76 SLE: 0.00 Item: Gretsch G9210 Square Neck Boxcar Mahogan...\u001b[0m\n", + "\u001b[92m156: Guess: $203.04 Truth: $189.00 Error: $14.04 SLE: 0.01 Item: NikoMaku Mirror Dash Cam Front and Rear ...\u001b[0m\n", + "\u001b[92m157: Guess: $137.82 Truth: $120.91 Error: $16.91 SLE: 0.02 Item: Fenix HP25R v2.0 USB-C Rechargeable Head...\u001b[0m\n", + "\u001b[92m158: Guess: $195.36 Truth: $203.53 Error: $8.17 SLE: 0.00 Item: R&L Racing Heavy Duty Roll-Up Soft Tonne...\u001b[0m\n", + "\u001b[92m159: Guess: $370.98 Truth: $349.99 Error: $20.99 SLE: 0.00 Item: Garmin 010-02258-10 GPSMAP 64sx, Handhel...\u001b[0m\n", + "\u001b[93m160: Guess: $88.12 Truth: $34.35 Error: $53.77 SLE: 0.86 Item: Brown 5-7/8\" X 8-1/2\" X 3/16\" Thick Heav...\u001b[0m\n", + "\u001b[93m161: Guess: $303.40 Truth: $384.99 Error: $81.59 SLE: 0.06 Item: GAOMON PD2200 Pen Display & 20 Pen Nibs ...\u001b[0m\n", + "\u001b[92m162: Guess: $217.69 Truth: $211.00 Error: $6.69 SLE: 0.00 Item: VXMOTOR for 97-03 Ford F150/F250 Lightdu...\u001b[0m\n", + "\u001b[91m163: Guess: $432.25 Truth: $129.00 Error: $303.25 SLE: 1.45 Item: HP EliteBook 2540p Intel Core i7-640LM X...\u001b[0m\n", + "\u001b[91m164: Guess: $240.66 Truth: $111.45 Error: $129.21 SLE: 0.59 Item: Green EPX Mixing Nozzles 100-Pack-fits 3...\u001b[0m\n", + "\u001b[91m165: Guess: $247.91 Truth: $81.12 Error: $166.79 SLE: 1.23 Item: Box Partners 6 1/4 x 3 1/8\" 13 Pt. Manil...\u001b[0m\n", + "\u001b[92m166: Guess: $383.37 Truth: $457.08 Error: $73.71 SLE: 0.03 Item: Vixen Air 1/2\" NPT Air Ride Suspension H...\u001b[0m\n", + "\u001b[93m167: Guess: $127.11 Truth: $49.49 Error: $77.62 SLE: 0.87 Item: Smart Floor Lamp, 2700-6500K+RGBPink Mul...\u001b[0m\n", + "\u001b[92m168: Guess: $85.20 Truth: $80.56 Error: $4.64 SLE: 0.00 Item: SOZG 324mm Wheelbase Body Shell RC Car B...\u001b[0m\n", + "\u001b[92m169: Guess: $298.66 Truth: $278.39 Error: $20.27 SLE: 0.00 Item: Mickey Thompson ET Street S/S Racing Rad...\u001b[0m\n", + "\u001b[93m170: Guess: $228.55 Truth: $364.50 Error: $135.95 SLE: 0.22 Item: Pirelli 275/40R20 106W XL RFT P0 PZ4-LUX...\u001b[0m\n", + "\u001b[92m171: Guess: $329.68 Truth: $378.99 Error: $49.31 SLE: 0.02 Item: Torklift C3212 Rear Tie Down\u001b[0m\n", + "\u001b[92m172: Guess: $170.63 Truth: $165.28 Error: $5.35 SLE: 0.00 Item: Cardone 78-4226 Remanufactured Ford Comp...\u001b[0m\n", + "\u001b[91m173: Guess: $243.21 Truth: $56.74 Error: $186.47 SLE: 2.08 Item: Kidde AccessPoint 001798 Supra TouchPoin...\u001b[0m\n", + "\u001b[91m174: Guess: $154.53 Truth: $307.95 Error: $153.42 SLE: 0.47 Item: 3M Protecta 3100414 Self Retracting Life...\u001b[0m\n", + "\u001b[91m175: Guess: $193.62 Truth: $38.00 Error: $155.62 SLE: 2.58 Item: Plantronics 89435-01 Wired Headset, Blac...\u001b[0m\n", + "\u001b[91m176: Guess: $177.89 Truth: $53.00 Error: $124.89 SLE: 1.43 Item: Logitech K750 Wireless Solar Keyboard fo...\u001b[0m\n", + "\u001b[93m177: Guess: $357.14 Truth: $498.00 Error: $140.86 SLE: 0.11 Item: Olympus PEN E-PL9 Body Only with 3-Inch ...\u001b[0m\n", + "\u001b[91m178: Guess: $196.20 Truth: $53.99 Error: $142.21 SLE: 1.63 Item: Beck/Arnley 051-6066 Hub & Bearing Assem...\u001b[0m\n", + "\u001b[92m179: Guess: $319.09 Truth: $350.00 Error: $30.91 SLE: 0.01 Item: Eibach Pro-Kit Performance Springs E10-6...\u001b[0m\n", + "\u001b[91m180: Guess: $103.60 Truth: $299.95 Error: $196.35 SLE: 1.12 Item: LEGO DC Batman 1989 Batwing 76161 Displa...\u001b[0m\n", + "\u001b[91m181: Guess: $224.68 Truth: $94.93 Error: $129.75 SLE: 0.73 Item: Kingston Brass KS3608PL Restoration 4-In...\u001b[0m\n", + "\u001b[92m182: Guess: $385.67 Truth: $379.00 Error: $6.67 SLE: 0.00 Item: Polk Vanishing Series 265-LS In-Wall 3-W...\u001b[0m\n", + "\u001b[92m183: Guess: $252.50 Truth: $299.95 Error: $47.45 SLE: 0.03 Item: Spec-D Tuning LED Projector Headlights G...\u001b[0m\n", + "\u001b[92m184: Guess: $32.99 Truth: $24.99 Error: $8.00 SLE: 0.07 Item: RICHMOND & FINCH Airpod Pro Case, Green ...\u001b[0m\n", + "\u001b[91m185: Guess: $162.48 Truth: $41.04 Error: $121.44 SLE: 1.84 Item: LFA Industries 43B-5A-33JT 1/16-1/2-1.5-...\u001b[0m\n", + "\u001b[91m186: Guess: $140.11 Truth: $327.90 Error: $187.79 SLE: 0.72 Item: SAUTVS LED Headlight Assembly for Slings...\u001b[0m\n", + "\u001b[91m187: Guess: $119.66 Truth: $10.99 Error: $108.67 SLE: 5.33 Item: 2 Pack Combo Womens Safety Glasses Impac...\u001b[0m\n", + "\u001b[92m188: Guess: $25.42 Truth: $14.99 Error: $10.43 SLE: 0.25 Item: Arepa - Venezuelan cuisine - Venezuela P...\u001b[0m\n", + "\u001b[91m189: Guess: $202.03 Truth: $84.95 Error: $117.08 SLE: 0.74 Item: Schlage Lock Company KS23D2300 Padlock, ...\u001b[0m\n", + "\u001b[93m190: Guess: $187.05 Truth: $111.00 Error: $76.05 SLE: 0.27 Item: Techni Mobili White Sit to Stand Mobile ...\u001b[0m\n", + "\u001b[93m191: Guess: $176.26 Truth: $123.73 Error: $52.53 SLE: 0.12 Item: Special Lite Products Contemporary Wall ...\u001b[0m\n", + "\u001b[91m192: Guess: $295.57 Truth: $557.38 Error: $261.81 SLE: 0.40 Item: Tascam DP-24SD 24-Track Digital Portastu...\u001b[0m\n", + "\u001b[91m193: Guess: $181.58 Truth: $95.55 Error: $86.03 SLE: 0.41 Item: Glow Lighting 636CC10SP Vista Crystal Fl...\u001b[0m\n", + "\u001b[92m194: Guess: $149.96 Truth: $154.00 Error: $4.04 SLE: 0.00 Item: Z3 Wind Deflector, Smoke Tint, Lexan, Wi...\u001b[0m\n", + "\u001b[91m195: Guess: $344.75 Truth: $198.99 Error: $145.76 SLE: 0.30 Item: Olympus E-20 5MP Digital Camera w/ 4x Op...\u001b[0m\n", + "\u001b[91m196: Guess: $163.98 Truth: $430.44 Error: $266.46 SLE: 0.92 Item: PHYNEDI 1:1000 World Trade Center (1973-...\u001b[0m\n", + "\u001b[93m197: Guess: $119.60 Truth: $45.67 Error: $73.93 SLE: 0.90 Item: YANGHUAN Unstable Unicorns Adventure Car...\u001b[0m\n", + "\u001b[93m198: Guess: $336.69 Truth: $249.00 Error: $87.69 SLE: 0.09 Item: Interlogix NX-1820E NetworX Touch Screen...\u001b[0m\n", + "\u001b[91m199: Guess: $194.50 Truth: $42.99 Error: $151.51 SLE: 2.22 Item: Steering Damper,Universal Motorcycle Han...\u001b[0m\n", + "\u001b[92m200: Guess: $168.81 Truth: $181.33 Error: $12.52 SLE: 0.01 Item: Amprobe TIC 410A Hot Stick Attachment\u001b[0m\n", + "\u001b[93m201: Guess: $82.75 Truth: $6.03 Error: $76.72 SLE: 6.14 Item: MyCableMart 3.5mm Plug/Jack, 4 Conductor...\u001b[0m\n", + "\u001b[91m202: Guess: $149.79 Truth: $29.99 Error: $119.80 SLE: 2.50 Item: OtterBox + Pop Symmetry Series Case for ...\u001b[0m\n", + "\u001b[93m203: Guess: $542.35 Truth: $899.00 Error: $356.65 SLE: 0.25 Item: Dell XPS X8700-1572BLK Desktop ( Intel C...\u001b[0m\n", + "\u001b[92m204: Guess: $355.25 Truth: $399.99 Error: $44.74 SLE: 0.01 Item: Franklin Iron Works Sperry Industrial Br...\u001b[0m\n", + "\u001b[91m205: Guess: $166.32 Truth: $4.66 Error: $161.66 SLE: 11.47 Item: Avery Legal Dividers, Standard Collated ...\u001b[0m\n", + "\u001b[92m206: Guess: $209.25 Truth: $261.41 Error: $52.16 SLE: 0.05 Item: Moen 8346 Commercial Posi-Temp Pressure ...\u001b[0m\n", + "\u001b[91m207: Guess: $232.60 Truth: $136.97 Error: $95.63 SLE: 0.28 Item: Carlisle Versa Trail ATR All Terrain Rad...\u001b[0m\n", + "\u001b[91m208: Guess: $189.30 Truth: $79.00 Error: $110.30 SLE: 0.75 Item: SUNWAYFOTO 44mm Tripod Ball Head Arca Co...\u001b[0m\n", + "\u001b[91m209: Guess: $263.41 Truth: $444.99 Error: $181.58 SLE: 0.27 Item: NanoBeam AC NBE-5AC-Gen2-US 4 Units 5GHz...\u001b[0m\n", + "\u001b[93m210: Guess: $259.46 Truth: $411.94 Error: $152.48 SLE: 0.21 Item: WULF 4\" Front 2\" Rear Leveling Lift Kit ...\u001b[0m\n", + "\u001b[93m211: Guess: $215.03 Truth: $148.40 Error: $66.63 SLE: 0.14 Item: Alera ALEVABFMC Valencia Series Mobile B...\u001b[0m\n", + "\u001b[91m212: Guess: $142.09 Truth: $244.99 Error: $102.90 SLE: 0.29 Item: YU-GI-OH! Ignition Assault Booster Box\u001b[0m\n", + "\u001b[91m213: Guess: $169.01 Truth: $86.50 Error: $82.51 SLE: 0.44 Item: 48\" x 36\" Extra-Large Framed Magnetic Bl...\u001b[0m\n", + "\u001b[93m214: Guess: $204.90 Truth: $297.95 Error: $93.05 SLE: 0.14 Item: Dell Latitude D620 Renewed Notebook PC\u001b[0m\n", + "\u001b[91m215: Guess: $651.58 Truth: $399.99 Error: $251.59 SLE: 0.24 Item: acer Aspire 5 Laptop, AMD Ryzen 3 5300U ...\u001b[0m\n", + "\u001b[91m216: Guess: $264.22 Truth: $599.00 Error: $334.78 SLE: 0.67 Item: Elk 31080/6RC-GRN 30 by 6-Inch Viva 6-Li...\u001b[0m\n", + "\u001b[93m217: Guess: $154.49 Truth: $105.99 Error: $48.50 SLE: 0.14 Item: Barbie Top Model Doll\u001b[0m\n", + "\u001b[91m218: Guess: $289.30 Truth: $689.00 Error: $399.70 SLE: 0.75 Item: Danby Designer 20-In. Electric Range wit...\u001b[0m\n", + "\u001b[93m219: Guess: $255.74 Truth: $404.99 Error: $149.25 SLE: 0.21 Item: FixtureDisplays® Metal Truss Podium Doub...\u001b[0m\n", + "\u001b[93m220: Guess: $267.92 Truth: $207.76 Error: $60.16 SLE: 0.06 Item: ACDelco 13597235 GM Original Equipment A...\u001b[0m\n", + "\u001b[92m221: Guess: $189.51 Truth: $171.82 Error: $17.69 SLE: 0.01 Item: EBC S1KF1135 Stage-1 Premium Street Brak...\u001b[0m\n", + "\u001b[92m222: Guess: $290.36 Truth: $293.24 Error: $2.88 SLE: 0.00 Item: FXR Men's Boost FX Jacket (Black/Orange/...\u001b[0m\n", + "\u001b[92m223: Guess: $329.12 Truth: $374.95 Error: $45.83 SLE: 0.02 Item: SuperATV Scratch Resistant 3-in-1 Flip W...\u001b[0m\n", + "\u001b[92m224: Guess: $124.77 Truth: $111.99 Error: $12.78 SLE: 0.01 Item: SBU 3 Layer All Weather Mini Van Car Cov...\u001b[0m\n", + "\u001b[92m225: Guess: $31.76 Truth: $42.99 Error: $11.23 SLE: 0.09 Item: 2 Pack Outdoor Brochure Holder Advertisi...\u001b[0m\n", + "\u001b[92m226: Guess: $125.04 Truth: $116.71 Error: $8.33 SLE: 0.00 Item: Monroe Shocks & Struts Quick-Strut 17158...\u001b[0m\n", + "\u001b[91m227: Guess: $236.88 Truth: $118.61 Error: $118.27 SLE: 0.47 Item: Elements of Design Magellan EB235AL Thre...\u001b[0m\n", + "\u001b[93m228: Guess: $191.01 Truth: $147.12 Error: $43.89 SLE: 0.07 Item: GM Genuine Parts 15-62961 Air Conditioni...\u001b[0m\n", + "\u001b[92m229: Guess: $146.68 Truth: $119.99 Error: $26.69 SLE: 0.04 Item: Baseus 17-in-1 USB C Docking Station to ...\u001b[0m\n", + "\u001b[91m230: Guess: $176.72 Truth: $369.98 Error: $193.26 SLE: 0.54 Item: Whitehall™ Personalized Whitehall Capito...\u001b[0m\n", + "\u001b[93m231: Guess: $220.12 Truth: $315.55 Error: $95.43 SLE: 0.13 Item: Pro Circuit Works Pipe PY05250 for 02-19...\u001b[0m\n", + "\u001b[91m232: Guess: $351.75 Truth: $190.99 Error: $160.76 SLE: 0.37 Item: HYANKA 15 \"1200W Professional DJ Speaker...\u001b[0m\n", + "\u001b[92m233: Guess: $174.05 Truth: $155.00 Error: $19.05 SLE: 0.01 Item: Bluetooth X6BT Card Reader Writer Encode...\u001b[0m\n", + "\u001b[92m234: Guess: $342.61 Truth: $349.99 Error: $7.38 SLE: 0.00 Item: AIRAID Cold Air Intake System by K&N: In...\u001b[0m\n", + "\u001b[92m235: Guess: $248.99 Truth: $249.99 Error: $1.00 SLE: 0.00 Item: Bostingner Shower Faucets Sets Complete,...\u001b[0m\n", + "\u001b[91m236: Guess: $205.77 Truth: $42.99 Error: $162.78 SLE: 2.40 Item: PIT66 Front Bumper Turn Signal Lights, C...\u001b[0m\n", + "\u001b[92m237: Guess: $32.55 Truth: $17.99 Error: $14.56 SLE: 0.32 Item: Caseology Bumpy Compatible with Google P...\u001b[0m\n", + "\u001b[91m238: Guess: $250.91 Truth: $425.00 Error: $174.09 SLE: 0.28 Item: Fleck 2510 Timer Mechanical Filter Contr...\u001b[0m\n", + "\u001b[92m239: Guess: $262.77 Truth: $249.99 Error: $12.78 SLE: 0.00 Item: Haloview MC7108 Wireless RV Backup Camer...\u001b[0m\n", + "\u001b[93m240: Guess: $83.63 Truth: $138.23 Error: $54.60 SLE: 0.25 Item: Schmidt Spiele - Manhattan\u001b[0m\n", + "\u001b[93m241: Guess: $281.98 Truth: $414.99 Error: $133.01 SLE: 0.15 Item: Corsa 14333 Tip Kit (Ford Mustang GT)\u001b[0m\n", + "\u001b[92m242: Guess: $203.94 Truth: $168.28 Error: $35.66 SLE: 0.04 Item: Hoshizaki FM116A Fan Motor Kit 1\u001b[0m\n", + "\u001b[92m243: Guess: $199.63 Truth: $199.99 Error: $0.36 SLE: 0.00 Item: BAINUO Antler Chandelier Lighting,6 Ligh...\u001b[0m\n", + "\u001b[91m244: Guess: $238.80 Truth: $126.70 Error: $112.10 SLE: 0.40 Item: DNA MOTORING HL-OH-FEXP06-SM-AM Smoke Le...\u001b[0m\n", + "\u001b[91m245: Guess: $150.16 Truth: $5.91 Error: $144.25 SLE: 9.52 Item: Wera Stainless 3840/1 TS 2.5mm Hex Inser...\u001b[0m\n", + "\u001b[92m246: Guess: $187.93 Truth: $193.06 Error: $5.13 SLE: 0.00 Item: Celestron - PowerSeeker 127EQ Telescope ...\u001b[0m\n", + "\u001b[93m247: Guess: $311.48 Truth: $249.99 Error: $61.49 SLE: 0.05 Item: NHOPEEW 10.1inch Android Car Radio Carpl...\u001b[0m\n", + "\u001b[91m248: Guess: $182.61 Truth: $64.12 Error: $118.49 SLE: 1.07 Item: Other Harmonica (Suzuki-2Timer24- A)\u001b[0m\n", + "\u001b[91m249: Guess: $207.56 Truth: $114.99 Error: $92.57 SLE: 0.34 Item: Harley Air Filter Venturi Intake Air Cle...\u001b[0m\n", + "\u001b[91m250: Guess: $220.50 Truth: $926.00 Error: $705.50 SLE: 2.05 Item: Elite Screens Edge Free Ambient Light Re...\u001b[0m\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "TestRunner(random_forest_predictor).run()" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "id": "f4ff4e3c-5abc-4647-a637-43e1ff05148f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
SVR(kernel='linear')
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" + ], + "text/plain": [ + "SVR(kernel='linear')" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from sklearn.svm import SVR\n", + "np.random.seed(42)\n", + "\n", + "svr_regressor = SVR(kernel='linear')\n", + "svr_regressor.fit(X[:100_000], prices[:100_000])" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "id": "3d026284-a6ba-44e8-85aa-dad86a094e85", + "metadata": {}, + "outputs": [], + "source": [ + "def svr_predictor(item):\n", + " np.random.seed(42)\n", + " doc = item.test_prompt()\n", + " doc_vector = document_vector(doc)\n", + " return max(float(svr_regressor.predict([doc_vector])[0]),0)" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "id": "d47bc121-9717-4d42-b1f1-e9f54dcf7fa6", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[93m1: Guess: $230.55 Truth: $374.41 Error: $143.86 SLE: 0.23 Item: OEM AC Compressor w/A/C Repair Kit For F...\u001b[0m\n", + "\u001b[93m2: Guess: $144.76 Truth: $225.11 Error: $80.35 SLE: 0.19 Item: Motorcraft YB3125 Fan Clutch\u001b[0m\n", + "\u001b[93m3: Guess: $107.78 Truth: $61.68 Error: $46.10 SLE: 0.30 Item: Dorman 603-159 Front Washer Fluid Reserv...\u001b[0m\n", + "\u001b[91m4: Guess: $304.83 Truth: $599.99 Error: $295.16 SLE: 0.46 Item: HP Premium 17.3-inch HD Plus Touchscreen...\u001b[0m\n", + "\u001b[93m5: Guess: $90.54 Truth: $16.99 Error: $73.55 SLE: 2.65 Item: 5-Position Super Switch Pickup Selector ...\u001b[0m\n", + "\u001b[92m6: Guess: $0.00 Truth: $31.99 Error: $31.99 SLE: 12.22 Item: Horror Bookmarks, Resin Horror Bookmarks...\u001b[0m\n", + "\u001b[91m7: Guess: $253.08 Truth: $101.79 Error: $151.29 SLE: 0.82 Item: SK6241 - Stinger 4 Gauge 6000 Series Pow...\u001b[0m\n", + "\u001b[91m8: Guess: $173.34 Truth: $289.00 Error: $115.66 SLE: 0.26 Item: Godox ML60Bi LED Light Kit, Handheld LED...\u001b[0m\n", + "\u001b[91m9: Guess: $286.09 Truth: $635.86 Error: $349.77 SLE: 0.63 Item: Randall RG75DG3PLUS G3 Plus 100-Watt Com...\u001b[0m\n", + "\u001b[93m10: Guess: $111.85 Truth: $65.99 Error: $45.86 SLE: 0.27 Item: HOLDWILL 6 Pack LED Shop Light, 4FT 24W ...\u001b[0m\n", + "\u001b[93m11: Guess: $355.18 Truth: $254.21 Error: $100.97 SLE: 0.11 Item: Viking Horns V103C/1005ATK 3 Gallon Air ...\u001b[0m\n", + "\u001b[93m12: Guess: $300.32 Truth: $412.99 Error: $112.67 SLE: 0.10 Item: CURT 70110 Custom Tow Bar Base Plate Bra...\u001b[0m\n", + "\u001b[91m13: Guess: $122.39 Truth: $205.50 Error: $83.11 SLE: 0.27 Item: 10-Pack Solar HAMMERED BRONZE Finish Pos...\u001b[0m\n", + "\u001b[93m14: Guess: $191.16 Truth: $248.23 Error: $57.07 SLE: 0.07 Item: COSTWAY Electric Tumble Dryer, Sliver\u001b[0m\n", + "\u001b[91m15: Guess: $187.69 Truth: $399.00 Error: $211.31 SLE: 0.56 Item: FREE SIGNAL TV Transit 32\" 12 Volt DC Po...\u001b[0m\n", + "\u001b[93m16: Guess: $229.53 Truth: $373.94 Error: $144.41 SLE: 0.24 Item: Bilstein 5100 Monotube Gas Shock Set com...\u001b[0m\n", + "\u001b[91m17: Guess: $217.84 Truth: $92.89 Error: $124.95 SLE: 0.72 Item: Sangean K-200 Multi-Function Upright AM/...\u001b[0m\n", + "\u001b[93m18: Guess: $95.33 Truth: $51.99 Error: $43.34 SLE: 0.36 Item: Charles Leonard Magnetic Lapboard Class ...\u001b[0m\n", + "\u001b[91m19: Guess: $266.10 Truth: $179.00 Error: $87.10 SLE: 0.16 Item: Gigabyte AMD Radeon HD 7870 2 GB GDDR5 D...\u001b[0m\n", + "\u001b[93m20: Guess: $70.54 Truth: $19.42 Error: $51.12 SLE: 1.57 Item: 3dRose LLC 8 x 8 x 0.25 Inches Bull Terr...\u001b[0m\n", + "\u001b[91m21: Guess: $244.60 Truth: $539.95 Error: $295.35 SLE: 0.62 Item: ROKINON 85mm F1.4 Auto Focus Full Frame ...\u001b[0m\n", + "\u001b[92m22: Guess: $148.83 Truth: $147.67 Error: $1.16 SLE: 0.00 Item: AUTOSAVER88 Headlight Assembly Compatibl...\u001b[0m\n", + "\u001b[92m23: Guess: $58.54 Truth: $24.99 Error: $33.55 SLE: 0.69 Item: ASI NAUTICAL 2.5 Inches Opera Glasses Bi...\u001b[0m\n", + "\u001b[91m24: Guess: $244.22 Truth: $149.00 Error: $95.22 SLE: 0.24 Item: Behringer TUBE OVERDRIVE TO100 Authentic...\u001b[0m\n", + "\u001b[92m25: Guess: $0.00 Truth: $16.99 Error: $16.99 SLE: 8.35 Item: Fun Express Insect Finger Puppets - 24 f...\u001b[0m\n", + "\u001b[91m26: Guess: $93.13 Truth: $7.99 Error: $85.14 SLE: 5.52 Item: WAFJAMF Roller Stamp Identity Theft Stam...\u001b[0m\n", + "\u001b[93m27: Guess: $130.04 Truth: $199.99 Error: $69.95 SLE: 0.18 Item: Capulina Tiffany Floor Lamp 2-Light 16\" ...\u001b[0m\n", + "\u001b[93m28: Guess: $162.96 Truth: $251.45 Error: $88.49 SLE: 0.19 Item: Apple Watch Series 6 (GPS, 44mm) - Space...\u001b[0m\n", + "\u001b[92m29: Guess: $198.65 Truth: $231.62 Error: $32.97 SLE: 0.02 Item: ICON 01725 Tandem Axle Fender Skirt FS17...\u001b[0m\n", + "\u001b[92m30: Guess: $145.02 Truth: $135.00 Error: $10.02 SLE: 0.01 Item: SanDisk 128GB Ultra (10 Pack) MicroSD Cl...\u001b[0m\n", + "\u001b[91m31: Guess: $199.44 Truth: $356.62 Error: $157.18 SLE: 0.34 Item: Velvac 2020,L,C/Hr,W,E2003,102\",Bk - 715...\u001b[0m\n", + "\u001b[92m32: Guess: $208.84 Truth: $257.99 Error: $49.15 SLE: 0.04 Item: TCMT Passenger Backrest Sissy Bar & Lugg...\u001b[0m\n", + "\u001b[91m33: Guess: $151.49 Truth: $27.99 Error: $123.50 SLE: 2.76 Item: Alnicov 63.5MM Brass Tremolo Block,Tremo...\u001b[0m\n", + "\u001b[92m34: Guess: $158.44 Truth: $171.20 Error: $12.76 SLE: 0.01 Item: Subaru Forester Outback Legacy OEM Engin...\u001b[0m\n", + "\u001b[91m35: Guess: $129.59 Truth: $225.00 Error: $95.41 SLE: 0.30 Item: Richmond Auto Upholstery - 2012 Dodge Ra...\u001b[0m\n", + "\u001b[93m36: Guess: $179.67 Truth: $105.00 Error: $74.67 SLE: 0.28 Item: AP-39 Automotive Paint Primer Grey 2K Ur...\u001b[0m\n", + "\u001b[93m37: Guess: $187.29 Truth: $299.99 Error: $112.70 SLE: 0.22 Item: Road Top Wireless Carplay Retrofit Kit D...\u001b[0m\n", + "\u001b[92m38: Guess: $440.26 Truth: $535.09 Error: $94.83 SLE: 0.04 Item: Gibson Performance Exhaust 5658 Aluminiz...\u001b[0m\n", + "\u001b[92m39: Guess: $33.98 Truth: $12.33 Error: $21.65 SLE: 0.93 Item: Bella Tunno Happy Links - Baby Montessor...\u001b[0m\n", + "\u001b[93m40: Guess: $131.51 Truth: $84.99 Error: $46.52 SLE: 0.19 Item: CANMORE H300 Handheld GPS Golf Device, S...\u001b[0m\n", + "\u001b[93m41: Guess: $60.72 Truth: $15.99 Error: $44.73 SLE: 1.66 Item: DCPOWER AC Adapter Compatible Replacemen...\u001b[0m\n", + "\u001b[93m42: Guess: $126.08 Truth: $62.44 Error: $63.64 SLE: 0.48 Item: Sharp, VX2128V, Commercial Desktop Calcu...\u001b[0m\n", + "\u001b[93m43: Guess: $156.20 Truth: $82.99 Error: $73.21 SLE: 0.39 Item: Melissa & Doug Lifelike Plush Stork Gian...\u001b[0m\n", + "\u001b[91m44: Guess: $229.40 Truth: $599.95 Error: $370.55 SLE: 0.92 Item: Sony SSCS8 2-Way 3-Driver Center Channel...\u001b[0m\n", + "\u001b[93m45: Guess: $240.03 Truth: $194.99 Error: $45.04 SLE: 0.04 Item: ASUS Chromebook CX1, 14\" Full HD NanoEdg...\u001b[0m\n", + "\u001b[93m46: Guess: $236.87 Truth: $344.95 Error: $108.08 SLE: 0.14 Item: FiiO X7 32GB Hi-Res Lossless Music Playe...\u001b[0m\n", + "\u001b[92m47: Guess: $44.20 Truth: $37.99 Error: $6.21 SLE: 0.02 Item: TORRO Leather Case Compatible with iPhon...\u001b[0m\n", + "\u001b[92m48: Guess: $214.00 Truth: $224.35 Error: $10.35 SLE: 0.00 Item: Universal Air Conditioner KT 1031 A/C Co...\u001b[0m\n", + "\u001b[91m49: Guess: $285.93 Truth: $814.00 Error: $528.07 SLE: 1.09 Item: Street Series Stainless Performance Cat-...\u001b[0m\n", + "\u001b[92m50: Guess: $451.06 Truth: $439.88 Error: $11.18 SLE: 0.00 Item: Lenovo IdeaPad 3 14-inch Laptop, 14.0-in...\u001b[0m\n", + "\u001b[93m51: Guess: $250.72 Truth: $341.43 Error: $90.71 SLE: 0.09 Item: Access Bed Covers TonnoSport 22050219 - ...\u001b[0m\n", + "\u001b[91m52: Guess: $164.33 Truth: $46.78 Error: $117.55 SLE: 1.54 Item: G.I. JOE Hasbro 3 3/4\" Wave 5 Action Fig...\u001b[0m\n", + "\u001b[93m53: Guess: $99.99 Truth: $171.44 Error: $71.45 SLE: 0.29 Item: T&S Brass B-0232-BST Double Pantry Fauce...\u001b[0m\n", + "\u001b[91m54: Guess: $194.10 Truth: $458.00 Error: $263.90 SLE: 0.73 Item: ZTUOAUMA Fuel Injection Pump 3090942 309...\u001b[0m\n", + "\u001b[91m55: Guess: $210.78 Truth: $130.75 Error: $80.03 SLE: 0.23 Item: 2AP18AA#ABA Hp Prime Graphing Calculator...\u001b[0m\n", + "\u001b[92m56: Guess: $114.80 Truth: $83.81 Error: $30.99 SLE: 0.10 Item: Lowrance 000-0119-83 Nmea 2000 25' Exten...\u001b[0m\n", + "\u001b[91m57: Guess: $166.89 Truth: $386.39 Error: $219.50 SLE: 0.70 Item: Jeep Genuine Accessories 82213051 Hood L...\u001b[0m\n", + "\u001b[92m58: Guess: $177.09 Truth: $169.00 Error: $8.09 SLE: 0.00 Item: GODOX CB-06 Hard Carrying Case with Whee...\u001b[0m\n", + "\u001b[93m59: Guess: $90.74 Truth: $17.95 Error: $72.79 SLE: 2.49 Item: Au-Tomotive Gold, INC. Ford Black Valet ...\u001b[0m\n", + "\u001b[91m60: Guess: $131.09 Truth: $269.00 Error: $137.91 SLE: 0.51 Item: Snailfly Black Roof Rack Rail + Cross Ba...\u001b[0m\n", + "\u001b[92m61: Guess: $108.59 Truth: $77.77 Error: $30.82 SLE: 0.11 Item: KING SHA Anti Glare LED Track Lighting H...\u001b[0m\n", + "\u001b[91m62: Guess: $196.06 Truth: $88.99 Error: $107.07 SLE: 0.61 Item: APS Compatible with Chevy Silverado 1500...\u001b[0m\n", + "\u001b[92m63: Guess: $304.58 Truth: $364.41 Error: $59.83 SLE: 0.03 Item: Wilwood Engineering 14011291R Brake Cali...\u001b[0m\n", + "\u001b[92m64: Guess: $146.66 Truth: $127.03 Error: $19.63 SLE: 0.02 Item: ACDelco Gold 336-1925A Starter, Remanufa...\u001b[0m\n", + "\u001b[91m65: Guess: $247.16 Truth: $778.95 Error: $531.79 SLE: 1.31 Item: UWS EC10783 69-Inch Matte Black Heavy-Wa...\u001b[0m\n", + "\u001b[91m66: Guess: $495.57 Truth: $206.66 Error: $288.91 SLE: 0.76 Item: Dell Latitude E5440 14in Business Laptop...\u001b[0m\n", + "\u001b[91m67: Guess: $137.44 Truth: $35.94 Error: $101.50 SLE: 1.75 Item: (Plug and Play) Spare Tire Brake Light W...\u001b[0m\n", + "\u001b[92m68: Guess: $177.59 Truth: $149.00 Error: $28.59 SLE: 0.03 Item: The Ultimate Roadside Rescue Assistant\u001b[0m\n", + "\u001b[92m69: Guess: $226.59 Truth: $251.98 Error: $25.39 SLE: 0.01 Item: Brand New 18\" x 8.5\" Replacement Wheel f...\u001b[0m\n", + "\u001b[92m70: Guess: $178.78 Truth: $160.00 Error: $18.78 SLE: 0.01 Item: Headlight Headlamp LH Left & RH Right Pa...\u001b[0m\n", + "\u001b[91m71: Guess: $168.95 Truth: $39.99 Error: $128.96 SLE: 2.02 Item: Lilo And Stitch Deluxe Oversize Print La...\u001b[0m\n", + "\u001b[91m72: Guess: $210.43 Truth: $362.41 Error: $151.98 SLE: 0.29 Item: AC Compressor & A/C Clutch For Hyundai A...\u001b[0m\n", + "\u001b[91m73: Guess: $138.98 Truth: $344.00 Error: $205.02 SLE: 0.81 Item: House Of Troy PIN475-AB Pinnacle Collect...\u001b[0m\n", + "\u001b[91m74: Guess: $120.54 Truth: $25.09 Error: $95.45 SLE: 2.37 Item: Juno T29 WH Floating Electrical Feed Sin...\u001b[0m\n", + "\u001b[91m75: Guess: $90.34 Truth: $175.95 Error: $85.61 SLE: 0.44 Item: Sherman GO-PARTS - for 2013-2016 Toyota ...\u001b[0m\n", + "\u001b[93m76: Guess: $212.11 Truth: $132.64 Error: $79.47 SLE: 0.22 Item: Roland RPU-3 Electronic Keyboard Pedal o...\u001b[0m\n", + "\u001b[93m77: Guess: $263.37 Truth: $422.99 Error: $159.62 SLE: 0.22 Item: Rockland VMI14 12,000 Pound 12 Volt DC E...\u001b[0m\n", + "\u001b[91m78: Guess: $233.33 Truth: $146.48 Error: $86.85 SLE: 0.21 Item: Max Advanced Brakes Elite XDS Front Cros...\u001b[0m\n", + "\u001b[92m79: Guess: $136.97 Truth: $156.83 Error: $19.86 SLE: 0.02 Item: Quality-Built 11030 Premium Quality Alte...\u001b[0m\n", + "\u001b[93m80: Guess: $178.08 Truth: $251.99 Error: $73.91 SLE: 0.12 Item: Lucida LG-510 Student Classical Guitar, ...\u001b[0m\n", + "\u001b[91m81: Guess: $189.15 Truth: $940.33 Error: $751.18 SLE: 2.56 Item: Longacre 52-79800 Aluminum Turn Plates\u001b[0m\n", + "\u001b[91m82: Guess: $158.02 Truth: $52.99 Error: $105.03 SLE: 1.17 Item: Motion Pro 08-0380 Adjustable Torque Wre...\u001b[0m\n", + "\u001b[91m83: Guess: $82.44 Truth: $219.95 Error: $137.51 SLE: 0.95 Item: Glyph Thunderbolt 3 NVMe Dock (0 GB)\u001b[0m\n", + "\u001b[93m84: Guess: $273.80 Truth: $441.03 Error: $167.23 SLE: 0.23 Item: TOYO Open Country MT Performance Radial ...\u001b[0m\n", + "\u001b[93m85: Guess: $237.31 Truth: $168.98 Error: $68.33 SLE: 0.11 Item: Razer Seiren X USB Streaming Microphone ...\u001b[0m\n", + "\u001b[93m86: Guess: $67.74 Truth: $2.49 Error: $65.25 SLE: 8.88 Item: Happy Birthday to Dad From Your Daughter...\u001b[0m\n", + "\u001b[91m87: Guess: $221.27 Truth: $98.62 Error: $122.65 SLE: 0.64 Item: Little Tikes My Real Jam First Concert S...\u001b[0m\n", + "\u001b[91m88: Guess: $127.32 Truth: $256.95 Error: $129.63 SLE: 0.49 Item: Studio M Peace and Harmony Art Pole Comm...\u001b[0m\n", + "\u001b[91m89: Guess: $113.11 Truth: $30.99 Error: $82.12 SLE: 1.62 Item: MyVolts 12V Power Supply Adaptor Compati...\u001b[0m\n", + "\u001b[93m90: Guess: $380.75 Truth: $569.84 Error: $189.09 SLE: 0.16 Item: Dell Latitude 7212 Rugged Extreme Tablet...\u001b[0m\n", + "\u001b[93m91: Guess: $116.06 Truth: $177.99 Error: $61.93 SLE: 0.18 Item: Covermates Contour Fit Car Cover - Light...\u001b[0m\n", + "\u001b[91m92: Guess: $288.69 Truth: $997.99 Error: $709.30 SLE: 1.53 Item: Westin 57-4025 Black HDX Grille Guard fi...\u001b[0m\n", + "\u001b[92m93: Guess: $216.95 Truth: $219.00 Error: $2.05 SLE: 0.00 Item: Fieldpiece JL2 Job Link Wireless App Tra...\u001b[0m\n", + "\u001b[92m94: Guess: $212.12 Truth: $225.55 Error: $13.43 SLE: 0.00 Item: hansgrohe Talis S Modern Premium Easy Cl...\u001b[0m\n", + "\u001b[91m95: Guess: $292.84 Truth: $495.95 Error: $203.11 SLE: 0.28 Item: G-Technology G-SPEED eS PRO High-Perform...\u001b[0m\n", + "\u001b[91m96: Guess: $217.47 Truth: $942.37 Error: $724.90 SLE: 2.14 Item: DreamLine SHDR-1960723L-01 Shower Door, ...\u001b[0m\n", + "\u001b[91m97: Guess: $102.48 Truth: $1.94 Error: $100.54 SLE: 12.68 Item: Sanctuary Square Backplate Finish: Oiled...\u001b[0m\n", + "\u001b[91m98: Guess: $119.60 Truth: $284.34 Error: $164.74 SLE: 0.74 Item: Pelican Protector 1750 Long Case - Multi...\u001b[0m\n", + "\u001b[92m99: Guess: $174.42 Truth: $171.90 Error: $2.52 SLE: 0.00 Item: Brock Replacement Driver and Passenger H...\u001b[0m\n", + "\u001b[93m100: Guess: $98.67 Truth: $144.99 Error: $46.32 SLE: 0.15 Item: Carlinkit Ai Box Mini, Android 11, Multi...\u001b[0m\n", + "\u001b[91m101: Guess: $236.30 Truth: $470.47 Error: $234.17 SLE: 0.47 Item: StarDot NetCamLIVE2 YouTube Live Stream ...\u001b[0m\n", + "\u001b[91m102: Guess: $148.56 Truth: $66.95 Error: $81.61 SLE: 0.62 Item: Atomic Compatible FILXXCAR0016 16x25x5 M...\u001b[0m\n", + "\u001b[93m103: Guess: $44.71 Truth: $117.00 Error: $72.29 SLE: 0.90 Item: Bandai Awakening of S. H. s.h.figuarts s...\u001b[0m\n", + "\u001b[91m104: Guess: $293.34 Truth: $172.14 Error: $121.20 SLE: 0.28 Item: Fit System 62135G Passenger Side Towing ...\u001b[0m\n", + "\u001b[93m105: Guess: $236.36 Truth: $392.74 Error: $156.38 SLE: 0.26 Item: Black Horse Black Aluminum Exceed Runnin...\u001b[0m\n", + "\u001b[92m106: Guess: $20.54 Truth: $16.99 Error: $3.55 SLE: 0.03 Item: Dearsun Twinkle Star Color Night Light P...\u001b[0m\n", + "\u001b[92m107: Guess: $26.46 Truth: $1.34 Error: $25.12 SLE: 6.06 Item: Pokemon - Gallade Spirit Link (83/108) -...\u001b[0m\n", + "\u001b[93m108: Guess: $244.59 Truth: $349.98 Error: $105.39 SLE: 0.13 Item: Ibanez GA34STCE-NT GIO Series Classical ...\u001b[0m\n", + "\u001b[93m109: Guess: $244.65 Truth: $370.71 Error: $126.06 SLE: 0.17 Item: Set 2 Heavy Duty 12-16.5 12x16.5 12 Ply ...\u001b[0m\n", + "\u001b[93m110: Guess: $120.21 Truth: $65.88 Error: $54.33 SLE: 0.35 Item: Hairpin Table Legs 28\" Heavy Duty Hairpi...\u001b[0m\n", + "\u001b[93m111: Guess: $150.18 Truth: $229.99 Error: $79.81 SLE: 0.18 Item: Marada Racing Seat with Adjustable Slide...\u001b[0m\n", + "\u001b[93m112: Guess: $75.66 Truth: $9.14 Error: $66.52 SLE: 4.09 Item: Remington Industries 24UL1007STRWHI25 24...\u001b[0m\n", + "\u001b[91m113: Guess: $318.33 Truth: $199.00 Error: $119.33 SLE: 0.22 Item: Acer S3-391-6046 13.3-inch Ultrabook, In...\u001b[0m\n", + "\u001b[91m114: Guess: $223.06 Truth: $109.99 Error: $113.07 SLE: 0.49 Item: ICBEAMER 7\" RGB LED Headlights Bulb Halo...\u001b[0m\n", + "\u001b[91m115: Guess: $291.74 Truth: $570.42 Error: $278.68 SLE: 0.45 Item: R1 Concepts Front Rear Brakes and Rotors...\u001b[0m\n", + "\u001b[93m116: Guess: $172.00 Truth: $279.99 Error: $107.99 SLE: 0.24 Item: Camplux 2.64 GPM Tankless , Outdoor Port...\u001b[0m\n", + "\u001b[93m117: Guess: $73.41 Truth: $30.99 Error: $42.42 SLE: 0.71 Item: KNOKLOCK 10 Pack 3.75 Inch(96mm) Kitchen...\u001b[0m\n", + "\u001b[91m118: Guess: $166.31 Truth: $31.99 Error: $134.32 SLE: 2.64 Item: Valley Enterprises Yaesu USB FTDI CT-62 ...\u001b[0m\n", + "\u001b[93m119: Guess: $64.92 Truth: $15.90 Error: $49.02 SLE: 1.85 Item: G9 LED Light Bulbs,8W,75W 100W replaceme...\u001b[0m\n", + "\u001b[93m120: Guess: $92.04 Truth: $45.99 Error: $46.05 SLE: 0.47 Item: ZCHAOZ 4 Lights Antique White Farmhouse ...\u001b[0m\n", + "\u001b[93m121: Guess: $174.80 Truth: $113.52 Error: $61.28 SLE: 0.18 Item: Honeywell TH8320R1003 Honeywell VisionPr...\u001b[0m\n", + "\u001b[91m122: Guess: $260.79 Truth: $516.99 Error: $256.20 SLE: 0.47 Item: Patriot Exhaust H8013-1 1-7/8\" Clippster...\u001b[0m\n", + "\u001b[92m123: Guess: $210.56 Truth: $196.99 Error: $13.57 SLE: 0.00 Item: Fitrite Autopart New Front Left Driver S...\u001b[0m\n", + "\u001b[92m124: Guess: $29.71 Truth: $46.55 Error: $16.84 SLE: 0.19 Item: Technical Precision Replacement for GE G...\u001b[0m\n", + "\u001b[93m125: Guess: $223.74 Truth: $356.99 Error: $133.25 SLE: 0.22 Item: Covercraft Carhartt SeatSaver Front Row ...\u001b[0m\n", + "\u001b[91m126: Guess: $106.96 Truth: $319.95 Error: $212.99 SLE: 1.19 Item: Sennheiser SD Pro 2 (506008) - Double-Si...\u001b[0m\n", + "\u001b[93m127: Guess: $168.83 Truth: $96.06 Error: $72.77 SLE: 0.31 Item: Hitachi MAF0110 Mass Air Flow Sensor\u001b[0m\n", + "\u001b[93m128: Guess: $235.95 Truth: $190.99 Error: $44.96 SLE: 0.04 Item: AmScope SE305R-P-LED-PS36A 10X-30X LED C...\u001b[0m\n", + "\u001b[91m129: Guess: $150.03 Truth: $257.95 Error: $107.92 SLE: 0.29 Item: Front Left Driver Side Window Regulator ...\u001b[0m\n", + "\u001b[93m130: Guess: $137.25 Truth: $62.95 Error: $74.30 SLE: 0.59 Item: Premium Replica Hubcap Set, Fits Nissan ...\u001b[0m\n", + "\u001b[92m131: Guess: $38.84 Truth: $47.66 Error: $8.82 SLE: 0.04 Item: Excellerations Phonics Spelling Game for...\u001b[0m\n", + "\u001b[92m132: Guess: $199.68 Truth: $226.99 Error: $27.31 SLE: 0.02 Item: RC4WD BigDog Dual Axle Scale Car/Truck T...\u001b[0m\n", + "\u001b[92m133: Guess: $291.93 Truth: $359.95 Error: $68.02 SLE: 0.04 Item: Unknown Stage 2 Clutch Kit - Low Altitud...\u001b[0m\n", + "\u001b[91m134: Guess: $203.70 Truth: $78.40 Error: $125.30 SLE: 0.90 Item: 2002-2008 Dodge Ram 1500 Mopar 4X4 Emble...\u001b[0m\n", + "\u001b[91m135: Guess: $318.63 Truth: $172.77 Error: $145.86 SLE: 0.37 Item: Pro Comp Alloys Series 89 Wheel with Pol...\u001b[0m\n", + "\u001b[93m136: Guess: $240.28 Truth: $316.45 Error: $76.17 SLE: 0.08 Item: Detroit Axle - Front Rear Strut & Coil S...\u001b[0m\n", + "\u001b[92m137: Guess: $127.30 Truth: $87.99 Error: $39.31 SLE: 0.13 Item: ECCPP Rear Wheel Axle Replacement fit fo...\u001b[0m\n", + "\u001b[93m138: Guess: $294.51 Truth: $226.63 Error: $67.88 SLE: 0.07 Item: Dell Latitude E6520 Intel i7-2720QM 2.20...\u001b[0m\n", + "\u001b[91m139: Guess: $131.25 Truth: $31.49 Error: $99.76 SLE: 1.97 Item: F FIERCE CYCLE 251pcs Black Universal Mo...\u001b[0m\n", + "\u001b[93m140: Guess: $145.35 Truth: $196.00 Error: $50.65 SLE: 0.09 Item: Flash Furniture 4 Pk. HERCULES Series 88...\u001b[0m\n", + "\u001b[93m141: Guess: $148.98 Truth: $78.40 Error: $70.58 SLE: 0.40 Item: B&M 30287 Throttle Valve/Kickdown Cable,...\u001b[0m\n", + "\u001b[93m142: Guess: $187.22 Truth: $116.25 Error: $70.97 SLE: 0.22 Item: Gates TCK226 PowerGrip Premium Timing Be...\u001b[0m\n", + "\u001b[91m143: Guess: $280.69 Truth: $112.78 Error: $167.91 SLE: 0.82 Item: Monroe Shocks & Struts Quick-Strut 17149...\u001b[0m\n", + "\u001b[91m144: Guess: $145.36 Truth: $27.32 Error: $118.04 SLE: 2.70 Item: Feit Electric BPMR16/GU10/930CA/6 35W EQ...\u001b[0m\n", + "\u001b[92m145: Guess: $161.82 Truth: $145.91 Error: $15.91 SLE: 0.01 Item: Yellow Jacket 2806 Contractor Extension ...\u001b[0m\n", + "\u001b[92m146: Guess: $179.98 Truth: $171.09 Error: $8.89 SLE: 0.00 Item: Garage-Pro Tailgate SET Compatible with ...\u001b[0m\n", + "\u001b[92m147: Guess: $180.97 Truth: $167.95 Error: $13.02 SLE: 0.01 Item: 3M Perfect It Buffing and Polishing Kit ...\u001b[0m\n", + "\u001b[93m148: Guess: $72.96 Truth: $28.49 Error: $44.47 SLE: 0.85 Item: Chinese Style Dollhouse Model DIY Miniat...\u001b[0m\n", + "\u001b[91m149: Guess: $203.92 Truth: $122.23 Error: $81.69 SLE: 0.26 Item: Generic NRG Innovations SRK-161H Steerin...\u001b[0m\n", + "\u001b[93m150: Guess: $75.20 Truth: $32.99 Error: $42.21 SLE: 0.65 Item: Learning Resources Coding Critters Range...\u001b[0m\n", + "\u001b[91m151: Guess: $210.19 Truth: $71.20 Error: $138.99 SLE: 1.15 Item: Bosch Automotive 15463 Oxygen Sensor, OE...\u001b[0m\n", + "\u001b[93m152: Guess: $51.55 Truth: $112.75 Error: $61.20 SLE: 0.60 Item: Case of 24-2 Inch Blue Painters Tape - 6...\u001b[0m\n", + "\u001b[92m153: Guess: $117.93 Truth: $142.43 Error: $24.50 SLE: 0.04 Item: MOCA Engine Water Pump & Fan Clutch fit ...\u001b[0m\n", + "\u001b[91m154: Guess: $179.65 Truth: $398.99 Error: $219.34 SLE: 0.63 Item: SAREMAS Foot Step Bars for Hyundai Palis...\u001b[0m\n", + "\u001b[93m155: Guess: $269.58 Truth: $449.00 Error: $179.42 SLE: 0.26 Item: Gretsch G9210 Square Neck Boxcar Mahogan...\u001b[0m\n", + "\u001b[93m156: Guess: $244.78 Truth: $189.00 Error: $55.78 SLE: 0.07 Item: NikoMaku Mirror Dash Cam Front and Rear ...\u001b[0m\n", + "\u001b[93m157: Guess: $180.47 Truth: $120.91 Error: $59.56 SLE: 0.16 Item: Fenix HP25R v2.0 USB-C Rechargeable Head...\u001b[0m\n", + "\u001b[93m158: Guess: $252.35 Truth: $203.53 Error: $48.82 SLE: 0.05 Item: R&L Racing Heavy Duty Roll-Up Soft Tonne...\u001b[0m\n", + "\u001b[93m159: Guess: $230.47 Truth: $349.99 Error: $119.52 SLE: 0.17 Item: Garmin 010-02258-10 GPSMAP 64sx, Handhel...\u001b[0m\n", + "\u001b[92m160: Guess: $25.07 Truth: $34.35 Error: $9.28 SLE: 0.09 Item: Brown 5-7/8\" X 8-1/2\" X 3/16\" Thick Heav...\u001b[0m\n", + "\u001b[91m161: Guess: $141.82 Truth: $384.99 Error: $243.17 SLE: 0.99 Item: GAOMON PD2200 Pen Display & 20 Pen Nibs ...\u001b[0m\n", + "\u001b[92m162: Guess: $207.65 Truth: $211.00 Error: $3.35 SLE: 0.00 Item: VXMOTOR for 97-03 Ford F150/F250 Lightdu...\u001b[0m\n", + "\u001b[91m163: Guess: $410.93 Truth: $129.00 Error: $281.93 SLE: 1.33 Item: HP EliteBook 2540p Intel Core i7-640LM X...\u001b[0m\n", + "\u001b[92m164: Guess: $109.27 Truth: $111.45 Error: $2.18 SLE: 0.00 Item: Green EPX Mixing Nozzles 100-Pack-fits 3...\u001b[0m\n", + "\u001b[91m165: Guess: $163.39 Truth: $81.12 Error: $82.27 SLE: 0.48 Item: Box Partners 6 1/4 x 3 1/8\" 13 Pt. Manil...\u001b[0m\n", + "\u001b[91m166: Guess: $220.56 Truth: $457.08 Error: $236.52 SLE: 0.53 Item: Vixen Air 1/2\" NPT Air Ride Suspension H...\u001b[0m\n", + "\u001b[91m167: Guess: $141.66 Truth: $49.49 Error: $92.17 SLE: 1.08 Item: Smart Floor Lamp, 2700-6500K+RGBPink Mul...\u001b[0m\n", + "\u001b[92m168: Guess: $89.62 Truth: $80.56 Error: $9.06 SLE: 0.01 Item: SOZG 324mm Wheelbase Body Shell RC Car B...\u001b[0m\n", + "\u001b[93m169: Guess: $211.23 Truth: $278.39 Error: $67.16 SLE: 0.08 Item: Mickey Thompson ET Street S/S Racing Rad...\u001b[0m\n", + "\u001b[91m170: Guess: $208.25 Truth: $364.50 Error: $156.25 SLE: 0.31 Item: Pirelli 275/40R20 106W XL RFT P0 PZ4-LUX...\u001b[0m\n", + "\u001b[92m171: Guess: $402.22 Truth: $378.99 Error: $23.23 SLE: 0.00 Item: Torklift C3212 Rear Tie Down\u001b[0m\n", + "\u001b[92m172: Guess: $198.12 Truth: $165.28 Error: $32.84 SLE: 0.03 Item: Cardone 78-4226 Remanufactured Ford Comp...\u001b[0m\n", + "\u001b[91m173: Guess: $190.44 Truth: $56.74 Error: $133.70 SLE: 1.44 Item: Kidde AccessPoint 001798 Supra TouchPoin...\u001b[0m\n", + "\u001b[91m174: Guess: $145.41 Truth: $307.95 Error: $162.54 SLE: 0.56 Item: 3M Protecta 3100414 Self Retracting Life...\u001b[0m\n", + "\u001b[93m175: Guess: $100.50 Truth: $38.00 Error: $62.50 SLE: 0.91 Item: Plantronics 89435-01 Wired Headset, Blac...\u001b[0m\n", + "\u001b[91m176: Guess: $148.80 Truth: $53.00 Error: $95.80 SLE: 1.04 Item: Logitech K750 Wireless Solar Keyboard fo...\u001b[0m\n", + "\u001b[91m177: Guess: $245.89 Truth: $498.00 Error: $252.11 SLE: 0.50 Item: Olympus PEN E-PL9 Body Only with 3-Inch ...\u001b[0m\n", + "\u001b[91m178: Guess: $155.77 Truth: $53.99 Error: $101.78 SLE: 1.10 Item: Beck/Arnley 051-6066 Hub & Bearing Assem...\u001b[0m\n", + "\u001b[93m179: Guess: $227.83 Truth: $350.00 Error: $122.17 SLE: 0.18 Item: Eibach Pro-Kit Performance Springs E10-6...\u001b[0m\n", + "\u001b[91m180: Guess: $169.18 Truth: $299.95 Error: $130.77 SLE: 0.32 Item: LEGO DC Batman 1989 Batwing 76161 Displa...\u001b[0m\n", + "\u001b[91m181: Guess: $210.86 Truth: $94.93 Error: $115.93 SLE: 0.63 Item: Kingston Brass KS3608PL Restoration 4-In...\u001b[0m\n", + "\u001b[93m182: Guess: $257.07 Truth: $379.00 Error: $121.93 SLE: 0.15 Item: Polk Vanishing Series 265-LS In-Wall 3-W...\u001b[0m\n", + "\u001b[93m183: Guess: $215.27 Truth: $299.95 Error: $84.68 SLE: 0.11 Item: Spec-D Tuning LED Projector Headlights G...\u001b[0m\n", + "\u001b[92m184: Guess: $22.69 Truth: $24.99 Error: $2.30 SLE: 0.01 Item: RICHMOND & FINCH Airpod Pro Case, Green ...\u001b[0m\n", + "\u001b[91m185: Guess: $167.44 Truth: $41.04 Error: $126.40 SLE: 1.93 Item: LFA Industries 43B-5A-33JT 1/16-1/2-1.5-...\u001b[0m\n", + "\u001b[91m186: Guess: $117.79 Truth: $327.90 Error: $210.11 SLE: 1.04 Item: SAUTVS LED Headlight Assembly for Slings...\u001b[0m\n", + "\u001b[92m187: Guess: $36.98 Truth: $10.99 Error: $25.99 SLE: 1.33 Item: 2 Pack Combo Womens Safety Glasses Impac...\u001b[0m\n", + "\u001b[92m188: Guess: $20.91 Truth: $14.99 Error: $5.92 SLE: 0.10 Item: Arepa - Venezuelan cuisine - Venezuela P...\u001b[0m\n", + "\u001b[93m189: Guess: $152.29 Truth: $84.95 Error: $67.34 SLE: 0.33 Item: Schlage Lock Company KS23D2300 Padlock, ...\u001b[0m\n", + "\u001b[91m190: Guess: $197.58 Truth: $111.00 Error: $86.58 SLE: 0.33 Item: Techni Mobili White Sit to Stand Mobile ...\u001b[0m\n", + "\u001b[92m191: Guess: $161.01 Truth: $123.73 Error: $37.28 SLE: 0.07 Item: Special Lite Products Contemporary Wall ...\u001b[0m\n", + "\u001b[91m192: Guess: $131.17 Truth: $557.38 Error: $426.21 SLE: 2.08 Item: Tascam DP-24SD 24-Track Digital Portastu...\u001b[0m\n", + "\u001b[93m193: Guess: $160.31 Truth: $95.55 Error: $64.76 SLE: 0.26 Item: Glow Lighting 636CC10SP Vista Crystal Fl...\u001b[0m\n", + "\u001b[92m194: Guess: $181.92 Truth: $154.00 Error: $27.92 SLE: 0.03 Item: Z3 Wind Deflector, Smoke Tint, Lexan, Wi...\u001b[0m\n", + "\u001b[92m195: Guess: $223.49 Truth: $198.99 Error: $24.50 SLE: 0.01 Item: Olympus E-20 5MP Digital Camera w/ 4x Op...\u001b[0m\n", + "\u001b[91m196: Guess: $182.70 Truth: $430.44 Error: $247.74 SLE: 0.73 Item: PHYNEDI 1:1000 World Trade Center (1973-...\u001b[0m\n", + "\u001b[92m197: Guess: $39.74 Truth: $45.67 Error: $5.93 SLE: 0.02 Item: YANGHUAN Unstable Unicorns Adventure Car...\u001b[0m\n", + "\u001b[92m198: Guess: $206.66 Truth: $249.00 Error: $42.34 SLE: 0.03 Item: Interlogix NX-1820E NetworX Touch Screen...\u001b[0m\n", + "\u001b[91m199: Guess: $144.19 Truth: $42.99 Error: $101.20 SLE: 1.43 Item: Steering Damper,Universal Motorcycle Han...\u001b[0m\n", + "\u001b[93m200: Guess: $130.13 Truth: $181.33 Error: $51.20 SLE: 0.11 Item: Amprobe TIC 410A Hot Stick Attachment\u001b[0m\n", + "\u001b[92m201: Guess: $19.68 Truth: $6.03 Error: $13.65 SLE: 1.16 Item: MyCableMart 3.5mm Plug/Jack, 4 Conductor...\u001b[0m\n", + "\u001b[93m202: Guess: $90.18 Truth: $29.99 Error: $60.19 SLE: 1.16 Item: OtterBox + Pop Symmetry Series Case for ...\u001b[0m\n", + "\u001b[91m203: Guess: $445.61 Truth: $899.00 Error: $453.39 SLE: 0.49 Item: Dell XPS X8700-1572BLK Desktop ( Intel C...\u001b[0m\n", + "\u001b[91m204: Guess: $192.05 Truth: $399.99 Error: $207.94 SLE: 0.53 Item: Franklin Iron Works Sperry Industrial Br...\u001b[0m\n", + "\u001b[91m205: Guess: $101.18 Truth: $4.66 Error: $96.52 SLE: 8.37 Item: Avery Legal Dividers, Standard Collated ...\u001b[0m\n", + "\u001b[92m206: Guess: $212.47 Truth: $261.41 Error: $48.94 SLE: 0.04 Item: Moen 8346 Commercial Posi-Temp Pressure ...\u001b[0m\n", + "\u001b[91m207: Guess: $224.53 Truth: $136.97 Error: $87.56 SLE: 0.24 Item: Carlisle Versa Trail ATR All Terrain Rad...\u001b[0m\n", + "\u001b[91m208: Guess: $159.70 Truth: $79.00 Error: $80.70 SLE: 0.49 Item: SUNWAYFOTO 44mm Tripod Ball Head Arca Co...\u001b[0m\n", + "\u001b[91m209: Guess: $202.72 Truth: $444.99 Error: $242.27 SLE: 0.61 Item: NanoBeam AC NBE-5AC-Gen2-US 4 Units 5GHz...\u001b[0m\n", + "\u001b[91m210: Guess: $239.13 Truth: $411.94 Error: $172.81 SLE: 0.29 Item: WULF 4\" Front 2\" Rear Leveling Lift Kit ...\u001b[0m\n", + "\u001b[92m211: Guess: $158.65 Truth: $148.40 Error: $10.25 SLE: 0.00 Item: Alera ALEVABFMC Valencia Series Mobile B...\u001b[0m\n", + "\u001b[91m212: Guess: $48.87 Truth: $244.99 Error: $196.12 SLE: 2.55 Item: YU-GI-OH! Ignition Assault Booster Box\u001b[0m\n", + "\u001b[93m213: Guess: $149.09 Truth: $86.50 Error: $62.59 SLE: 0.29 Item: 48\" x 36\" Extra-Large Framed Magnetic Bl...\u001b[0m\n", + "\u001b[93m214: Guess: $390.88 Truth: $297.95 Error: $92.93 SLE: 0.07 Item: Dell Latitude D620 Renewed Notebook PC\u001b[0m\n", + "\u001b[93m215: Guess: $496.13 Truth: $399.99 Error: $96.14 SLE: 0.05 Item: acer Aspire 5 Laptop, AMD Ryzen 3 5300U ...\u001b[0m\n", + "\u001b[91m216: Guess: $207.46 Truth: $599.00 Error: $391.54 SLE: 1.12 Item: Elk 31080/6RC-GRN 30 by 6-Inch Viva 6-Li...\u001b[0m\n", + "\u001b[92m217: Guess: $141.74 Truth: $105.99 Error: $35.75 SLE: 0.08 Item: Barbie Top Model Doll\u001b[0m\n", + "\u001b[91m218: Guess: $224.31 Truth: $689.00 Error: $464.69 SLE: 1.25 Item: Danby Designer 20-In. Electric Range wit...\u001b[0m\n", + "\u001b[91m219: Guess: $210.83 Truth: $404.99 Error: $194.16 SLE: 0.42 Item: FixtureDisplays® Metal Truss Podium Doub...\u001b[0m\n", + "\u001b[92m220: Guess: $185.72 Truth: $207.76 Error: $22.04 SLE: 0.01 Item: ACDelco 13597235 GM Original Equipment A...\u001b[0m\n", + "\u001b[91m221: Guess: $273.68 Truth: $171.82 Error: $101.86 SLE: 0.21 Item: EBC S1KF1135 Stage-1 Premium Street Brak...\u001b[0m\n", + "\u001b[93m222: Guess: $216.48 Truth: $293.24 Error: $76.76 SLE: 0.09 Item: FXR Men's Boost FX Jacket (Black/Orange/...\u001b[0m\n", + "\u001b[93m223: Guess: $263.35 Truth: $374.95 Error: $111.60 SLE: 0.12 Item: SuperATV Scratch Resistant 3-in-1 Flip W...\u001b[0m\n", + "\u001b[92m224: Guess: $100.92 Truth: $111.99 Error: $11.07 SLE: 0.01 Item: SBU 3 Layer All Weather Mini Van Car Cov...\u001b[0m\n", + "\u001b[93m225: Guess: $0.00 Truth: $42.99 Error: $42.99 SLE: 14.32 Item: 2 Pack Outdoor Brochure Holder Advertisi...\u001b[0m\n", + "\u001b[91m226: Guess: $271.69 Truth: $116.71 Error: $154.98 SLE: 0.71 Item: Monroe Shocks & Struts Quick-Strut 17158...\u001b[0m\n", + "\u001b[93m227: Guess: $193.24 Truth: $118.61 Error: $74.63 SLE: 0.24 Item: Elements of Design Magellan EB235AL Thre...\u001b[0m\n", + "\u001b[93m228: Guess: $203.25 Truth: $147.12 Error: $56.13 SLE: 0.10 Item: GM Genuine Parts 15-62961 Air Conditioni...\u001b[0m\n", + "\u001b[92m229: Guess: $136.12 Truth: $119.99 Error: $16.13 SLE: 0.02 Item: Baseus 17-in-1 USB C Docking Station to ...\u001b[0m\n", + "\u001b[91m230: Guess: $123.64 Truth: $369.98 Error: $246.34 SLE: 1.19 Item: Whitehall™ Personalized Whitehall Capito...\u001b[0m\n", + "\u001b[93m231: Guess: $206.48 Truth: $315.55 Error: $109.07 SLE: 0.18 Item: Pro Circuit Works Pipe PY05250 for 02-19...\u001b[0m\n", + "\u001b[93m232: Guess: $266.10 Truth: $190.99 Error: $75.11 SLE: 0.11 Item: HYANKA 15 \"1200W Professional DJ Speaker...\u001b[0m\n", + "\u001b[93m233: Guess: $94.73 Truth: $155.00 Error: $60.27 SLE: 0.24 Item: Bluetooth X6BT Card Reader Writer Encode...\u001b[0m\n", + "\u001b[92m234: Guess: $284.51 Truth: $349.99 Error: $65.48 SLE: 0.04 Item: AIRAID Cold Air Intake System by K&N: In...\u001b[0m\n", + "\u001b[93m235: Guess: $165.47 Truth: $249.99 Error: $84.52 SLE: 0.17 Item: Bostingner Shower Faucets Sets Complete,...\u001b[0m\n", + "\u001b[91m236: Guess: $145.25 Truth: $42.99 Error: $102.26 SLE: 1.44 Item: PIT66 Front Bumper Turn Signal Lights, C...\u001b[0m\n", + "\u001b[93m237: Guess: $71.76 Truth: $17.99 Error: $53.77 SLE: 1.80 Item: Caseology Bumpy Compatible with Google P...\u001b[0m\n", + "\u001b[91m238: Guess: $214.33 Truth: $425.00 Error: $210.67 SLE: 0.47 Item: Fleck 2510 Timer Mechanical Filter Contr...\u001b[0m\n", + "\u001b[92m239: Guess: $271.99 Truth: $249.99 Error: $22.00 SLE: 0.01 Item: Haloview MC7108 Wireless RV Backup Camer...\u001b[0m\n", + "\u001b[91m240: Guess: $51.11 Truth: $138.23 Error: $87.12 SLE: 0.97 Item: Schmidt Spiele - Manhattan\u001b[0m\n", + "\u001b[91m241: Guess: $230.31 Truth: $414.99 Error: $184.68 SLE: 0.34 Item: Corsa 14333 Tip Kit (Ford Mustang GT)\u001b[0m\n", + "\u001b[92m242: Guess: $154.43 Truth: $168.28 Error: $13.85 SLE: 0.01 Item: Hoshizaki FM116A Fan Motor Kit 1\u001b[0m\n", + "\u001b[92m243: Guess: $161.88 Truth: $199.99 Error: $38.11 SLE: 0.04 Item: BAINUO Antler Chandelier Lighting,6 Ligh...\u001b[0m\n", + "\u001b[91m244: Guess: $221.10 Truth: $126.70 Error: $94.40 SLE: 0.31 Item: DNA MOTORING HL-OH-FEXP06-SM-AM Smoke Le...\u001b[0m\n", + "\u001b[93m245: Guess: $71.17 Truth: $5.91 Error: $65.26 SLE: 5.50 Item: Wera Stainless 3840/1 TS 2.5mm Hex Inser...\u001b[0m\n", + "\u001b[92m246: Guess: $154.26 Truth: $193.06 Error: $38.80 SLE: 0.05 Item: Celestron - PowerSeeker 127EQ Telescope ...\u001b[0m\n", + "\u001b[92m247: Guess: $259.54 Truth: $249.99 Error: $9.55 SLE: 0.00 Item: NHOPEEW 10.1inch Android Car Radio Carpl...\u001b[0m\n", + "\u001b[91m248: Guess: $179.64 Truth: $64.12 Error: $115.52 SLE: 1.04 Item: Other Harmonica (Suzuki-2Timer24- A)\u001b[0m\n", + "\u001b[91m249: Guess: $270.80 Truth: $114.99 Error: $155.81 SLE: 0.73 Item: Harley Air Filter Venturi Intake Air Cle...\u001b[0m\n", + "\u001b[91m250: Guess: $120.80 Truth: $926.00 Error: $805.20 SLE: 4.12 Item: Elite Screens Edge Free Ambient Light Re...\u001b[0m\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "TestRunner(svr_predictor).run()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b6a41596-9065-414f-9c45-4a4b18494e13", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/week6/items.py b/week6/items.py new file mode 100644 index 0000000..1acaf5d --- /dev/null +++ b/week6/items.py @@ -0,0 +1,101 @@ +from typing import Optional +from transformers import AutoTokenizer +import re + +BASE_MODEL = "meta-llama/Meta-Llama-3.1-8B" +MIN_TOKENS = 150 +MAX_TOKENS = 160 +MIN_CHARS = 300 +CEILING_CHARS = MAX_TOKENS * 7 + +class Item: + """ + An Item is a cleaned, curated datapoint of a Product with a Price + """ + + tokenizer = AutoTokenizer.from_pretrained(BASE_MODEL, trust_remote_code=True) + PREFIX = "Price is $" + QUESTION = "How much does this cost to the nearest dollar?" + REMOVALS = ['"Batteries Included?": "No"', '"Batteries Included?": "Yes"', '"Batteries Required?": "No"', '"Batteries Required?": "Yes"', "By Manufacturer", "Item", "Date First", "Package", ":", "Number of", "Best Sellers", "Number", "Product "] + + title: str + price: float + category: str + token_count: int = 0 + details: Optional[str] + prompt: Optional[str] = None + include = False + + def __init__(self, data, price): + self.title = data['title'] + self.price = price + self.parse(data) + + def scrub_details(self): + """ + Clean up the details string by removing common text that doesn't add value + """ + details = self.details + for remove in self.REMOVALS: + details = details.replace(remove, "") + return details + + def scrub(self, stuff): + """ + Clean up the provided text by removing unnecessary characters and whitespace + Also remove words that are 7+ chars and contain numbers, as these are likely irrelevant product numbers + """ + stuff = re.sub(r'[:\[\]"{}【】\s]+', ' ', stuff).strip() + stuff = stuff.replace(" ,", ",").replace(",,,",",").replace(",,",",") + words = stuff.split(' ') + select = [word for word in words if len(word)<7 or not any(char.isdigit() for char in word)] + return " ".join(select) + + def parse(self, data): + """ + Parse this datapoint and if it fits within the allowed Token range, + then set include to True + """ + contents = '\n'.join(data['description']) + if contents: + contents += '\n' + features = '\n'.join(data['features']) + if features: + contents += features + '\n' + self.details = data['details'] + if self.details: + contents += self.scrub_details() + '\n' + if len(contents) > MIN_CHARS: + contents = contents[:CEILING_CHARS] + text = f"{self.scrub(self.title)}\n{self.scrub(contents)}" + tokens = self.tokenizer.encode(text, add_special_tokens=False) + if len(tokens) > MIN_TOKENS: + tokens = tokens[:MAX_TOKENS] + text = self.tokenizer.decode(tokens) + self.make_prompt(text) + self.include = True + + def make_prompt(self, text): + """ + Set the prompt instance variable to be a prompt appropriate for training + """ + self.prompt = f"{self.QUESTION}\n\n{text}\n\n" + self.prompt += f"{self.PREFIX}{str(round(self.price))}.00" + self.token_count = len(self.tokenizer.encode(self.prompt, add_special_tokens=False)) + + def test_prompt(self): + """ + Return a prompt suitable for testing, with the actual price removed + """ + return self.prompt.split(self.PREFIX)[0] + self.PREFIX + + def __repr__(self): + """ + Return a String version of this Item + """ + return f"<{self.title} = ${self.price}>" + + + + + \ No newline at end of file diff --git a/week6/loaders.py b/week6/loaders.py new file mode 100644 index 0000000..c3472e2 --- /dev/null +++ b/week6/loaders.py @@ -0,0 +1,81 @@ +from datetime import datetime +from tqdm import tqdm +from datasets import load_dataset +from concurrent.futures import ProcessPoolExecutor, ThreadPoolExecutor +from items import Item + +CHUNK_SIZE = 1000 +MIN_PRICE = 0.5 +MAX_PRICE = 999.49 + +class ItemLoader: + + + def __init__(self, name): + self.name = name + self.dataset = None + + def from_datapoint(self, datapoint): + """ + Try to create an Item from this datapoint + Return the Item if successful, or None if it shouldn't be included + """ + try: + price_str = datapoint['price'] + if price_str: + price = float(price_str) + if MIN_PRICE <= price <= MAX_PRICE: + item = Item(datapoint, price) + return item if item.include else None + except ValueError: + return None + + def from_chunk(self, chunk): + """ + Create a list of Items from this chunk of elements from the Dataset + """ + batch = [] + for datapoint in chunk: + result = self.from_datapoint(datapoint) + if result: + batch.append(result) + return batch + + def chunk_generator(self): + """ + Iterate over the Dataset, yielding chunks of datapoints at a time + """ + size = len(self.dataset) + for i in range(0, size, CHUNK_SIZE): + yield self.dataset.select(range(i, min(i + CHUNK_SIZE, size))) + + def load_in_parallel(self, workers): + """ + Use concurrent.futures to farm out the work to process chunks of datapoints - + This speeds up processing significantly, but will tie up your computer while it's doing so! + """ + results = [] + chunk_count = (len(self.dataset) // CHUNK_SIZE) + 1 + with ProcessPoolExecutor(max_workers=workers) as pool: + for batch in tqdm(pool.map(self.from_chunk, self.chunk_generator()), total=chunk_count): + results.extend(batch) + for result in results: + result.category = self.name + return results + + def load(self, workers=8): + """ + Load in this dataset; the workers parameter specifies how many processes + should work on loading and scrubbing the data + """ + start = datetime.now() + print(f"Loading dataset {self.name}", flush=True) + self.dataset = load_dataset("McAuley-Lab/Amazon-Reviews-2023", f"raw_meta_{self.name}", split="full", trust_remote_code=True) + results = self.load_in_parallel(workers) + finish = datetime.now() + print(f"Completed {self.name} with {len(results):,} datapoints in {(finish-start).total_seconds()/60:.1f} mins", flush=True) + return results + + + + \ No newline at end of file diff --git a/week6_wip/day1-electronics-pricer.ipynb b/week6_wip/day1-electronics-pricer.ipynb new file mode 100644 index 0000000..9bbb39e --- /dev/null +++ b/week6_wip/day1-electronics-pricer.ipynb @@ -0,0 +1,2156 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 23, + "id": "9491dd8f-8124-4a51-be3a-8f678c149dcf", + "metadata": {}, + "outputs": [], + "source": [ + "# imports\n", + "\n", + "import os\n", + "import re\n", + "import math\n", + "import random\n", + "from datetime import datetime\n", + "import numpy as np\n", + "from typing import Optional\n", + "from dotenv import load_dotenv\n", + "from openai import OpenAI\n", + "import anthropic\n", + "from huggingface_hub import login\n", + "from tqdm import tqdm\n", + "import matplotlib.pyplot as plt\n", + "from datasets import load_dataset, Dataset, DatasetDict\n", + "from concurrent.futures import ProcessPoolExecutor\n", + "from transformers import AutoTokenizer\n", + "from items_processing import ItemLoader, Item\n", + "import pickle" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "9cd394a2-d8e6-4e8f-a120-50c0ee12620d", + "metadata": {}, + "outputs": [], + "source": [ + "# environment\n", + "\n", + "load_dotenv()\n", + "os.environ['OPENAI_API_KEY'] = os.getenv('OPENAI_API_KEY', 'your-key-if-not-using-env')\n", + "os.environ['ANTHROPIC_API_KEY'] = os.getenv('ANTHROPIC_API_KEY', 'your-key-if-not-using-env')\n", + "os.environ['HF_TOKEN'] = os.getenv('HF_TOKEN', 'your-key-if-not-using-env')" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "846ded5d-b7f5-4581-8f56-d9650ff329c1", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Token is valid (permission: write).\n", + "Your token has been saved in your configured git credential helpers (osxkeychain).\n", + "Your token has been saved to /Users/ed/.cache/huggingface/token\n", + "Login successful\n" + ] + } + ], + "source": [ + "# initialize\n", + "\n", + "openai = OpenAI()\n", + "claude = anthropic.Anthropic()\n", + "OPENAI_MODEL = \"gpt-4o-mini\"\n", + "CLAUDE_MODEL = \"claude-3-5-sonnet-20240620\"\n", + "hf_token = os.environ['HF_TOKEN']\n", + "login(hf_token, add_to_git_credential=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "e81b23f7-8aa3-4590-ae5c-2d1bebd2f7c9", + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "8a45e4f9-4fcf-4f72-8db2-54cbb1889901", + "metadata": {}, + "outputs": [], + "source": [ + "# Constants\n", + "# Used for writing to output in color\n", + "\n", + "GREEN = \"\\033[92m\"\n", + "YELLOW = \"\\033[93m\"\n", + "RED = \"\\033[91m\"\n", + "RESET = \"\\033[0m\"" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "fb2ed609-a00a-4ff8-9f4d-8f2ff8ea26dd", + "metadata": {}, + "outputs": [], + "source": [ + "dataset_names = [\n", + " \"Automotive\",\n", + " \"Electronics\",\n", + " \"Office_Products\",\n", + " \"Tools_and_Home_Improvement\",\n", + " \"Cell_Phones_and_Accessories\",\n", + " \"Toys_and_Games\",\n", + " \"Appliances\",\n", + " \"Musical_Instruments\",\n", + "]" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "29bc061b-1e8d-4df6-ad49-c6148f527d49", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading dataset Electronics\n", + "Preparing data chunks... done.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|███████████████████████████████████████| 1611/1611 [02:37<00:00, 10.21it/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Completed loading Electronics with 443,473 datapoints in 2.7 mins\n" + ] + } + ], + "source": [ + "items = ItemLoader(\"Electronics\").load(workers=8)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "e80316d4-a84e-4b0d-8f36-988fe1bd2e2e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "443473" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(items)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "3d7ab348-3708-4357-b96f-65839f897223", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "179" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "max(item.token_count for item in items)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "91171f6b-4624-401a-9af5-9c9a1ce434c0", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b01322eb-d84d-46de-a12b-c2b027bac66d", + "metadata": {}, + "outputs": [], + "source": [ + "with open('items2.pkl', 'wb') as file:\n", + " pickle.dump(items, file)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cecfb43d-3692-475d-b80d-512e6b9b55c2", + "metadata": {}, + "outputs": [], + "source": [ + "with open('items2.pkl', 'rb') as file:\n", + " items = pickle.load(file)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d9949f7f-81d6-45d9-8f8f-d3690a8ffa85", + "metadata": {}, + "outputs": [], + "source": [ + "len(items)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "011bffcf-03f8-4f0d-8999-b53d1ac88624", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "There are 443,473 items with prices\n", + "\n", + "How much does this cost to the nearest dollar?\n", + "\n", + "HAFURY Smart Watch Activity Fitness Tracker Watch, Compatible with Android and iOS Phone, Bluetooth Smartwatch with Heart Rate Monitor IP68 Waterproof, Step Sleep Tracker, for Men Women Kids, Black\n", + "★ Smart Watch for Android Phones&iPhone&Samsung This Android smartwatch is compatible with iOS 8.0 and above & Android 4.4 and above the cellphone. You can read notify of Calling, WhatsApp, Facebook, Wechat, SMS, App, Alarm, Target reaching, Calendar, Binding, and also hang up incoming calls. Soft and no easy dirty band offers your comfortable feelings. ★ Heart Rate Monitor Watch with Sleep Tracker Mens smart watch can automatically real-time heart rate monitor, sleep, steps, distance, calorie, active time to helps you optimally adjust your exercise intensity and enables a\n", + "\n", + "Price is $20.00\n" + ] + } + ], + "source": [ + "# Let's investigate:\n", + "\n", + "print(f\"There are {len(items):,} items with prices\\n\")\n", + "print(items[200000].prompt)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "fcf74830-1e97-4543-b454-eefd314fc106", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Average length is 745.8 and highest length is 1,264\n", + "\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the distribution of character count\n", + "\n", + "lengths = [len(item.prompt) for item in items]\n", + "fig, ax = plt.subplots(1, 1)\n", + "ax.set_xlabel('Length')\n", + "ax.set_ylabel('Count of items');\n", + "_ = ax.hist(lengths, rwidth=0.7, color=\"lightblue\", bins=range(0, 1000, 50))\n", + "\n", + "print(f\"Average length is {sum(lengths)/len(lengths):,.1f} and highest length is {max(lengths):,}\\n\")" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "d5dde349-610a-4e96-a2ea-9178a9c1fa2a", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the distribution of tokens\n", + "\n", + "token_counts = [item.token_count for item in items]\n", + "fig, ax = plt.subplots(1, 1)\n", + "ax.set_xlabel('Number of tokens')\n", + "ax.set_ylabel('Count of items');\n", + "_ = ax.hist(token_counts, rwidth=0.7, color=\"orange\", bins=range(0, 200, 10))" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "da0a20b4-8926-4eff-bf83-11c4f6b40455", + "metadata": {}, + "outputs": [], + "source": [ + "def report(item):\n", + " prompt = item.prompt\n", + " tokens = Item.tokenizer.encode(item.prompt)\n", + " print(prompt)\n", + " print(tokens[-10:])\n", + " print(Item.tokenizer.batch_decode(tokens[-10:]))" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "2378cb92-305a-49d0-8193-4ae09a0cccf8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "How much does this cost to the nearest dollar?\n", + "\n", + "NotoCity Compatible with Vivoactive 4 band 22mm Quick Release Silicone Bands/Garmin Darth Vader/First Avenger/Polar Vantage Smartwatch Sport Breathable Strap Replacement for Gear S3 Classic Watchband\n", + "☛NotoCity 22mm band is designed for Vivoactive 4 / Samsung Gear S3 Classic / S3 Frontier / Gear Live / Samsung Galaxy Watch 46mm / Huawei Watch GT / Tickwatch Pro / S2 / E2 / Pebble Classic / Time / Time Steel / Pebble 2 (Not Pebble steel) / Other Watches with 22mm lugs. ➹Wrist Size Small size fits wrist Large size fits wrist measure your wrist and make sure the size before you purchase. ➹No Tool Needed Quick Release Pin is easy\n", + "\n", + "Price is $10.00\n", + "[17929, 374, 4228, 271, 7117, 374, 400, 605, 13, 410]\n", + "[' Pin', ' is', ' easy', '\\n\\n', 'Price', ' is', ' $', '10', '.', '00']\n" + ] + } + ], + "source": [ + "report(items[1])" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "50d88feb-d0ee-4abf-a013-7d11a7e4e2cd", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Average price is $72.29 and highest price is $999.49\n", + "\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the distribution of prices\n", + "\n", + "prices = [float(item.price) for item in items]\n", + "fig, ax = plt.subplots(1, 1)\n", + "ax.set_xlabel('Price ($)')\n", + "ax.set_ylabel('Count of items');\n", + "_ = ax.hist(prices, rwidth=0.7, color=\"darkblue\", bins=range(0, 1000, 20))\n", + "\n", + "print(f\"Average price is ${sum(prices)/len(prices):.2f} and highest price is ${max(prices):,.2f}\\n\")" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "3718a8e6-6c87-4351-8c27-9e61745b0991", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from collections import Counter\n", + "category_counts = Counter()\n", + "for item in items:\n", + " category_counts[item.category]+=1\n", + "\n", + "categories = category_counts.keys()\n", + "counts = [category_counts[category] for category in categories]\n", + "\n", + "# Create bar chart\n", + "plt.figure(figsize=(15, 6))\n", + "plt.bar(categories, counts, color=\"purple\")\n", + "\n", + "# Customize the chart\n", + "plt.title('How many in each category')\n", + "plt.xlabel('Categories')\n", + "plt.ylabel('Count')\n", + "\n", + "plt.xticks(rotation=30, ha='right')\n", + "\n", + "# Add value labels on top of each bar\n", + "for i, v in enumerate(counts):\n", + " plt.text(i, v, f\"{v:,}\", ha='center', va='bottom')\n", + "\n", + "# Display the chart\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "e741d816-25d8-4372-9caa-d006b85818be", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Minimum: 7\n" + ] + } + ], + "source": [ + "from collections import defaultdict\n", + "slots = defaultdict(list)\n", + "for item in items:\n", + " slots[round(item.price)].append(item)\n", + "\n", + "print(f\"\\nMinimum: {min([len(slot) for slot in slots.values()]):,}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "75541d34-37e9-4e59-bac8-87fd1d147d62", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "408635" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.random.seed(42)\n", + "random.seed(42)\n", + "sample = []\n", + "for i in range(1, 1000):\n", + " slot = slots[i]\n", + " if i>=240:\n", + " sample.extend(slot)\n", + " elif len(slot) <= 1200:\n", + " sample.extend(slot)\n", + " else:\n", + " weights = np.array([1 if item.category=='Automotive' else 5 for item in slot])\n", + " weights = weights / np.sum(weights)\n", + " selected_indices = np.random.choice(len(slot), size=1200, replace=False, p=weights)\n", + " selected = [slot[i] for i in selected_indices]\n", + " sample.extend(selected)\n", + "len(sample)" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "2a05bfa7-d848-4f33-bb69-89ab034f2998", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "202000" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "random.seed(42)\n", + "sorted_items = sorted(items, key=lambda item: item.price, reverse=True)\n", + "sample = sorted_items[:180_000]\n", + "sample += random.sample(sorted_items[180_000:250_000], k=22000)\n", + "len(sample)" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "6f56ae0c-c802-436d-be42-6439143b177f", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the distribution of prices\n", + "\n", + "prices = [float(item.price) for item in sample]\n", + "plt.figure(figsize=(15, 6))\n", + "plt.title(f\"Avg {sum(prices)/len(prices):.2f} and highest {max(prices):,.2f}\\n\")\n", + "plt.xlabel('Price ($)')\n", + "plt.ylabel('Count')\n", + "plt.hist(prices, rwidth=0.7, color=\"darkblue\", bins=range(0, 1000, 10))\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "a9bdc6d5-3766-4251-81bb-a1bcebe80ce1", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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VKhUnTJigs+2+ffvYvHlzTpw4kRs2bOCzZ8/Yvn17VqhQgR8+fEjrQxdp7ObNmyxRogQdHR05cuRIFi9enA0bNuSpU6eYkJDAtWvXcv/+/QwODmZUVBRPnjxJCwsLnjhxIr0PXXxnEsQTGV5qFaW9e/eyevXqfP/+PUny8ePHLFKkCPPkycO3b98q26nVapLk/v37WbZsWZ4/fz5tDlqkidOnT6dYFhwczDJlyijB23v37tHa2poVK1bkrVu3lO3ev39PjUbDtWvX0tHRkZs2bUqz4xbf39cf4FrR0dHs2bOnTsCOJD98+EA3Nzf++uuvys/Lly9n0aJFaWtryyFDhqTJcYvvLy4uLtVnx759+2hnZ6fznPg73t7eHDFixL99eOIHs3XrVvr4+PDgwYN89+4dT5w4wTx58nDp0qUkqTQGfW3YsGGsW7cuX79+nZaHK/5lGo2G8fHxdHNz44oVK3TWfR3ADwgIYKVKlXj37l3GxcVxwIABzJ49e4pgzMSJE9mrVy++efPmux+/SFvJ6x7Jv18WL17MmjVrsmrVqiT/+j5JzahRo9isWTNpVM5kUquXDhs2jG3atFF+3rdvH01MTNi2bdtUr//s2bNZo0YNaQD4CUgQT2RY3/oIJ8mRI0eyY8eOJMlBgwYxe/bsbNOmDe/evatsc+XKFa5YsYLNmjWjiYkJR44c+b0PWaSR5B9Nr1694o4dO5QX2rRp01izZk2SZKNGjZgzZ04OGTJECfiSZFhYGNu2bUsPDw+am5tz+fLlaXsCIs3MmTOH/v7+HD9+PMPDw0mS169fZ/bs2Tlr1iySf1WmDx48SENDQx45ckTZ/8mTJ/z06ZPys1SqM4+XL19y165dys/+/v6sWLGizjbJr/enT5946NAhbtmyhW5ubnR0dGRwcHCaHa9IWy9evKCXlxctLCw4bNgwHj16lBqNhm/evKG/vz8LFCigvIsSEhKYkJDAgwcPcvjw4SxZsiTt7Ox47NixdD4L8X+lfQasWbOGsbGxyvLp06ezbdu2OkH/kydPMnfu3Hz06BHJpJ7ftra2rFu3LhctWsTjx4+zfv36LFCggDQcZjJff7OMHz+effv2ZUBAgLLszJkzNDAw0BkFoHX16lVevHiRvr6+zJ07N7ds2ZI2By6+u+T3Rnx8PF++fEkyaVRZtWrVePjwYX758oW+vr7Mnj07/fz8GBERoexz4MABbt++nfXq1WOuXLm4cuXKND8HkfYkQYvIsLQ5aDZt2oTJkyfjwoULyrpXr17h3r17sLGxwYkTJ7Bjxw6sX78ejo6OuH79Ol6/fg19fX1cvnwZ2bNnx+3btzFu3Lj0OhXxL9HOHGloaAiSeP36NdatW4euXbsiODgYAFCmTBmcO3cOhoaGMDU1xblz5zBlyhTkzJkT58+fR3BwMGxtbeHq6oqmTZsiKioKvr6+ACBTt2cioaGhcHV1xbx585AzZ05s2rQJPXr0wM6dO+Hs7IzevXtj3LhxiImJUXKZ1a5dG3Xq1IGvr69yrxUsWBDGxsZQq9WSYDoDU6vVKZYNGTIE48aNw6lTpwAATk5OuHbtGhISEgDoJpl+8eIF1Go1tmzZgkmTJqFWrVq4e/cu3N3d0+4kxHeT2v2xYcMGREdH488//8TEiRNRs2ZNqFQqmJubo23btjAxMcHIkSMBAFmyZMGHDx+gVqvx4sULdOrUCY8fP0aNGjXS+lTEvyB5XUD7PGjfvj1MTEyUuoadnR2ioqLQpEkT3L9/HxqNBp6enjA1NcWBAwcAAG5ubtizZw8MDAywbNky+Pv7I1u2bPjzzz/RsmXLtD8x8d1ov1levnwJLy8vrF+/Hk+ePIGPjw8mTpyIz58/w8PDA76+vhg4cCCAv2ZBj4iIwIEDB9C8eXM8ffoUZ8+eRfPmzdPtXMS/S3tvzJo1CyVKlMC0adOQkJAAMzMz3Lt3DytXroSdnR0ePHiAI0eOYNGiRciXLx/u3r0LAAgPD8fChQthZWWFBw8ewMfHJz1PR6SVdA0hCvFf0Gg0KVorWrVqRWtra7q4uDBfvnycM2cOSfLo0aNUqVTs3r27zj6RkZHs1asX169fTzJp6JxWYmKi9KLJJEJCQpgtWzb27NmTcXFxdHFxoZ+fH9++fcuHDx+yTp06dHd319knKiqKrVq14syZM0nq9rBJSEhI0+MX39+ECROUobEkGRQUxBw5cvDXX39lYmIinz59SgcHB/bo0YPkX/dDaGgo9+zZky7HLL6P5H/rX758Uf594cIFVqhQgYMGDeKXL18YGhrKAgUKsE+fPjr737p1ixMnTuTnz5/55MkTnV69InPRXtvo6Gi6uLhw4MCBJP+6h7Tvik+fPnHOnDlUqVTcsGEDe/fuzZo1a/LPP//UqZPIuyXjunr1aophsDt37qRKpeK5c+dIJt0HlSpVYo0aNZQeV40aNeLvv/+ukzdPo9EwOjpap3eNyFzi4uJYp04d9u/fn/369WN8fDzJpGG0uXLl4v79+0km1TEsLS05ePBgkuTZs2c5Z84cPn78mH/++adSnnyzZB7R0dFs3LgxCxUqxPXr1zMoKEh5towcOZIqlYpr1qzR2SckJIT9+/fnw4cP+fnzZ0ZGRirr5N74OUgQT2QIyR9GMTExfPr0KcPCwti/f3+l4jNu3DgaGhry6dOnJMm6deuyfPnyXLZsGcPCwnj+/HlWr16d7u7uvHLlik75f5d7QmQcYWFhnDp1Kv39/TlnzhwlSLtixQoWLFiQ27ZtI0lu2LCBOXPmpK+vL1euXMnVq1ezcOHCrFKlSop8V/IizLhSG3KvVqsZHR1NLy8v7tixg2q1mj169GD27NnZqVMnnckKVq9eTZVKxWvXrqXlYYs0kvz+OHnyJOvUqcNmzZpx/fr1SjBv6NChdHd3Z2BgIEly1apVVKlUHDJkCLdt28bVq1fT1taWvr6+koMmE3v79i0bNmzIsWPHKoE3baJxksoHeXIfP35k79696eTkRDc3N4aEhCjrvk5sLzKW4OBgFi1alJMmTeK7d+9Yr149Zfirk5MTW7ZsqeQ6fPr0KQcPHkxTU1MePXqU9erVY5cuXUh+Oz+ayNi+FZxv3bo1VSoVhw4dqrO8QoUKbNSoEZ8/f06SXLlyJQ0MDFi2bFmqVColv6bW36UTEj+21P7OT5w4QWdnZ164cCHFups3bzJPnjzs2bMn//zzT378+JHHjx+nu7s7mzdvrgy91ZYt37M/DwniiQxl0qRJNDExYbly5ejo6Eg/Pz/lgfjy5Uu6ubmxUaNGJJMqTr1796axsTErVKhAc3NzdurUSaenhci4tJWY5C/ECRMm0NramoULF+azZ890KlLVqlVjo0aN+OTJE5Lk7t276eHhwQoVKrBkyZKcPn162p6ASDM7duzg1q1bdZKE29ra0tvbmwUKFGDFihV56tQpZd29e/f44cMHfvz4kW5ubpwyZUp6HLZIAx8+fODVq1dZtGhR9u/fn/Xr12eJEiU4ZswYkkkz0np6evK3335TJsOZN28ePT096eTkxEKFCnH+/PnpeQriX/Dq1Ssl6JJaQI4kmzdvzpo1a/Ls2bMkyb59+7JYsWJKY5H2XXTjxg2eOXNG2U/7ziGlwTCzUKvVHDRoEPPkyUNDQ0O2bt1a+Zg+ceIEVSoVd+zYoRNsGTFiBMuXL09bW1vmzZtXZq3+CRw+fJgXL15Uni2xsbE0NTVl7969dXLpnj17ltmzZ2dAQIDy/Nm/fz+XLVsmjUOZxN8FXqdMmcICBQroLEv+/XLgwAGWKFGCFhYW9PT0pImJidJTU/y8JIgnfmjaSvHZs2e5f/9+1q9fn7t37+bcuXNpbW3N1q1b6zzo9uzZQ5VKpUytnZCQwAcPHvDChQs6PWykFSvj+vojKHlFKDw8nN7e3jQ3N+e7d+9I/jU87uTJk8yfPz8XLVqkE8h9/fq1zkeb3BsZV/Ih9xqNhq9fv2alSpVobW3NPHnysF69egwKCiKZFPBVqVRcsmSJThnXrl3jwIEDld53Xw+XEhnX1y3gV65cYZkyZejp6akE4t6+fctx48axYMGCvHHjBkly4cKFLFOmTIp75f79+xKUyQRu3rzJChUqsH///soytVrN7du389mzZ8qy+/fvs0SJEhw8eDDj4uJ46tQpli5dmu3bt2d8fDwTExMZGhrKxo0bc/78+SmCNPJuybiS/51rNBq+e/eONWvWpL6+Phs3bqys017jBg0asFy5csrIEK1ly5bRzs6OHTp04JcvX6T3XSZ18OBB2tnZ0cXFRZm4RDsh1uTJk2lmZsaLFy/q7NO+fXs6OjqmGClEyrD7jOzr535AQACHDh3KrVu3KssmTJhANzc3ZSRQ8ufCx48fSSY1Bp08eZIbNmxQGhRTK1/8PCSIJ344X1dq4uPjqVKpaGZmxmnTpinLN27cSAMDA50X4YcPH9iqVSsWLVo01bLVarV8dGUSW7ZsYaVKlVi3bl2OGDFCGYawefNmOjs7c/z48cq22nuqU6dOdHZ2VnpSJF8nL8KMLflzIzo6mhqNhkFBQfT396dGo+HBgwfZqFEj1qlThxqNhmFhYcyfPz99fHx47do1fvjwgWfOnKGHhwcbNWqk8/FOSg+ajOxbz/07d+6wVatWzJYtG2/fvq0sv3btGmvUqMEmTZqQTHo2NG3alDVq1NDJSSQyh7i4OPr5+bFatWrKcKbt27fTwMCAq1ev1tl2zJgxLF26NA8cOEAyqUd3rly5aG9vzzp16jB79uz89ddflUYkkfElrxtoG3XUajVv377NOXPmsFixYjx8+DBJKoHbZ8+eUU9Pj3Pnzk3RSBgVFZWGRy/S2uPHj1mhQgWlN/eTJ0/YrFkzmpmZKdtoA7nJ86c+f/6crq6uvHfvnk55EujNHGJjY+nt7U0bGxvWqFGDhoaGHDJkCMmkTgZ2dnacN2+ezj5//vknFy9enGp5kvdOSBBP/DBSa2nSfnitXLmSKpWKK1as0Fnv6elJLy8vxsXFKcvOnz9PCwsLpReFyFw0Gg2HDh1Kc3NzTpkyhb169WLJkiXp6urK2NhYfvnyhd26dWPVqlWV3lTa+yMsLIzVq1fn/fv30/MUxL/o60rMgAEDaGVlxYYNG7JGjRo6uWQ2btzIkiVLcu7cuSTJY8eO0cnJiblz52bVqlVpYmLC3r17S8UoE0kevLt9+za3b9/O0NBQZdnOnTuZN29eTpw4UWcfbR7N3bt3kyS3bt3K5s2b6/ToFhmbRqNRemVfvHiRdevWpa+vr7K+QYMGbNCggU6ANyYmhk5OTmzTpo0yCcG1a9e4YcMGjhgxItUGIpHxvXz5km3atGGNGjXYo0cPnj59miR59+5dNm7cmHXq1FG2TZ5PM0+ePLx69Wp6HLL4zr7V8LtgwQK6uLiQTPqu8ff3Z86cOdmhQwclpUdgYCCNjIy4b98+kvKsyMzUajV9fX05dOhQ9u7dmzExMfzy5Qs3btxIPT09Hjx4kCTZs2dPlipViqNGjeKtW7d4+vRpVq1alV5eXnz79q1OmXK/CFKCeOIHtGzZMk6bNo3bt2/XWV6kSBE2b95cJ6/VhQsXaGRkpNMtWa1W6wT1RMaVWmA3MjKSbm5uXLRokbIsIiKCZmZmSrLgY8eOsWrVquzbt+/fliUyj8uXL/Po0aP09PTkxo0b2bRpU+rp6en0pHn9+jV79+7NUqVKKT3tHj9+zNOnT3PDhg06Q5+kZ2bm8fnzZ3bo0IGmpqZ0dHSkpaUl/fz8qFar+eHDB/bp04cuLi461z8sLIytWrWinZ1dOh65SAuRkZHctm0bfX19Wbp0ae7atYtkUv3C2tqaM2fO1EnbMHToUObPnz/F8GotSS6euZw4cYJWVlZs1qwZx4wZw6pVqzJHjhxKaoZ169axePHiXL58eYp9c+XKJbOZZ3LJc15qNBpOmTKFffr04YIFC5g3b15WrlxZJ7ivrYuWLl2aZcuWTTGbudQ9Mq5vXbt+/fpRpVIpE9po1a9fn+7u7kxISGBUVBRnz57NbNmy0cXFhTlz5mS3bt3kfhDfJEE8kab+rmJ76tQpFi9enIULF2a9evVobGzMgQMHKsMkDx48SJVKxd27d+u0QrRp04YWFhYpkr/Kgy/jUqvVOtf4+PHjvHPnDkny4cOHVKlUys/aoSoLFixg9uzZlVbw4cOH09HRMdUKtNwbGVdqszqeOnWKKpVKZ5hbREQEf/vtN9rb2+tse/ToUVapUoVdu3ZNtXwZopCxpXbtpkyZwpIlS/L+/fsMCwvj7t27aWBgwEmTJlGj0fDMmTOsVKkS/fz8dPbbuXMnx40bx4SEBAnKZDLa+2TevHnU09Nj69atWa1aNapUKjZr1kwZDtutWzeWK1dOmfhGrVazbdu2NDc3Z5MmTXRyE2nXi4zp62unvUcGDx6s09OOJGvWrMnq1aszIiKCUVFR9PPzo4ODA69fv84ZM2awY8eOjI+PZ2xsbJodv/i+vn63nDlzhiVLlqSDgwPbtWvHmzdvkiRnzJhBlUrFQoUK6TQiJiQkcMWKFdywYQPJpBzOly5dSrsTEN/N1w032u9WrXfv3tHBwYGdOnXS2TY0NJT6+vo6DUJPnz7l5cuXdVK6yDeLSI0E8USaSP4AevXqFW/cuKHzkHvy5AmbNm3KgQMHKssCAgJobm7OZcuWKT3rateuTQ8PD52HW2RkpLR0ZlIHDx5kkSJF6ObmxoCAAMbGxjIsLIwuLi5KzjvtvRUREUFzc3MGBgaSTBriNGTIEJ1WUpGxJe9NmbxC/fbtW3bq1Ik5cuRgeHi4svzUqVMsWLAgx40bpyz78uULBw8ezHLlyvHVq1c65UvwLmNLXoles2YNf//9d5JkpUqV2K9fP51txo0bx0KFCvH27dtMSEjglClT6OTkpEyK9HV5ImNL7W87MjKSJUqU4MKFC5Vlw4cPp5OTE2fPnk0yqb7i5ubGatWqcd26dZw6dSo7duzIEydOKLORiowveR316177pUqVUp4l2kbCu3fv0tjYmNu2bSNJBgcHs169eixQoACtra25d+/eNDpykRZSC6K0bt2aEydO5JIlS+ju7s5SpUop6/Lnz8927drpjBzav38/a9WqxdWrVzMhIUF5Jkm9I+N58OBBqpOeXblyhdWrV2epUqVYu3Zt7tixQ1m3cuVKGhkZKXl1tdd90KBBtLCw0EnzoZWYmCj1EPFNEsQTaUatVrNv374sU6YMW7duzVatWinTrr98+ZLbt29nXFwc1Wo1+/Tpw5w5czJfvnz08PBQJq94/PgxVSoVp06dqpMsWGR8X7+oli5dyvz583Py5Ml8/vy5kgw6OjqaPXv2TJHb7sCBA7SxsVFaQ0XmNW3aNPbt25eTJk1S8lJduHCBWbNm1RnS9OHDB44ZM4Z58+ZlZGSksvz58+fy/MjA/q5VOioqikFBQSxYsKDy4V2qVCllqH3ymanNzMy4YMECkuSlS5dYqVKlb/bQFBlT8hmrky8jk/Lg5cuXT5k1kkwact+yZUud98uhQ4fYsmVLFipUiMWKFdPZXj6wMo+YmBj6+/uzZ8+ePHbsmNJ43LFjR1aoUEHZThvkq1q1Kjt37qwsj4+PZ3BwcNoetPiuvn52jB07lhMmTOCUKVPYuXNn5e//2rVrzJEjB6dMmUKS3LBhA4sXL05HR0cOHz6cv/76K01MTDh69Oi0PgXxLzty5AgrVKjA48ePK8vUajXnzJnDPHnysE+fPtyxYwdHjhxJExMTnjt3TnnnlC9fno0bN9ZpKIiNjaWdnR3Pnz+f5uciMjYJ4ok0sXv3blpbW9PDw4OHDh1iSEhIikSdcXFxjIyMZN26dVmlShVevHiR4eHhVKlUHDt2rLJ9ly5d2K9fP6k8ZxJfV5K0wZVu3bqxffv2JP9KQK7NSxQcHEwPDw9WrFiRx44d4/Xr19m4cWPWrVuX0dHROuXJfZLxaStAN27cYPHixVmsWDGOHDmSxYsXZ+PGjZUhtP7+/rSystLJiXnz5k0WLVqUjRo1SlGuDFHIuBITE1OkUDh+/DiLFi1KDw8Prl27lmTSB/fIkSNZtGhRZYik9hlToUIF+vv7K/tfv349bQ5epInkPVzev3/P1atXMyQkROlBFxwcTDMzMyW3mfZdERAQQGNjY44dO1anvK9njRQZ19fP/ufPn7NChQqsVq0aa9euTXNzc65Zs4YkuWPHDhYuXJjr1q0jmXRfxcTE0M3NTenlLe+SzO3JkyesVKkSixUrxkqVKtHY2Jhdu3ZVnhnx8fEcO3Yss2XLpuS4u3r1Kvv168du3brxt99+05kUSXrfZTzaIFt0dHSKNAovX77kmDFjdPKzL1myhCqVir/++qsy8uzkyZM0NDRURo9p7wN5foj/hQTxxHf39OlTVq9enb///js/fvyos+7cuXNKBZokt2/fThcXF2Vm2SdPntDCwoIlSpTgzp070/KwRRpIXpFZsWIFO3fuzJCQECYmJvLXX39l48aNOX36dHbv3l3pCfHbb7+RJO/cucOyZcuyePHizJMnD+vWravT20pkbKkFX3///Xe2bdtW+TkwMJAmJiZKsPfBgwe0trbmkCFDlG3i4+O5bds2Hj58+PsftEgTT58+pYWFhdIjaubMmTx69ChDQ0NZv3595syZU2eo44kTJ1iuXDmdXjOhoaEsUqSI3BeZ0NcfyDNmzKCxsTFLlSrFfPny0c3NTUmzUK5cOTZv3lwnd9mhQ4eYK1cuFilShMeOHUtRvnxwZVxf3xvBwcG8efMmz507x169einL27Vrx+rVqzMkJIQfPnygn58fc+XKxe3bt/Pu3btcuHAhbW1teebMmbQ+BfGdaesearWaHz9+ZLVq1di3b18OHjyYJPnixQv27NmTNjY2OsGc8PBwFitWLEVv7uTPC8m5m/Go1WrOnj2bFhYWyrcpmTT6Y/r06crPISEhJJNyJTo7O9PZ2ZmzZs2iSqXSSQvVuHFjFihQIEW+THmviP+WBPHEd6N9EU6YMIG5c+fm7du3lXWRkZH85ZdfqFKpmCdPHmVbf39/uru7K3mt1qxZw549e7JKlSq8cOGCTrnSwypzuHHjBl1dXVmwYEGOHz9eae06fPgwO3bsyEKFCrFPnz6cNGkSFyxYwFy5cin5ij58+MCnT5/y7t27SnlyX2QecXFx3L59O9++fcv379+zatWqPHz4ML98+UJfX19mz56dfn5+So5MjUbDhQsXUl9fnw8ePEjnoxffU61ateji4kIbGxtaWVkpuexWrlxJU1NTrlq1Stn2y5cv3LBhA7NmzcpKlSqxW7duzJ8/P+vXr6+kdBCZw9fP/+DgYDo4OHDTpk388uULz5w5wwoVKrBChQr8/Pkzz549Sz09Pc6cOZMPHz4kmTSRgY+PD6dMmSJ57zKp6OhoVqtWjTlz5mTu3LlpZ2fHP/74Q1l//fp1litXjv369ePnz5/58eNHtm3bloUKFaKdnR3z58/P7du3p+MZiO/py5cvStClfv36VKlUnDBhgrL+1atXtLCw4MiRI5VlGo2Ga9asoUqlSjWti9RNM65Tp06xdu3a9PHxUZZ169aNJUuW1Mmjq62nDhw4UBk95u7uzipVqigBwOfPnyujR4T4v5AgnvjuGjduzIYNG5JMamn48uUL/f392aZNG27ZsoXFihXjgAEDSCblJcqaNSurVavG+vXrM1u2bDx9+nR6Hr74F6VWifntt9/o7e2d6vba4bPaFqp3796xfPny3LhxI0ndVvXUch+JjCO11umlS5fS2NiYZNKwSEtLS7Zq1YpWVlasVq2aEtgnk3pmfvr0ie/evWPJkiW5aNGiNDt28f19nWy+Ro0a1NPTY8OGDXXy3IWHh7NDhw50d3dXnh9aQUFBHDNmDJs3b86VK1emyXGL7+Pr50Xyd8utW7fYtGlTfvjwgaNHj6aTk5NOgvDw8HAaGRkp+TPHjh3LEiVK0M7OjnZ2dixatKhOo6PIPNRqNefNm8f58+ezT58+jIiI4OLFi2lra5uiHjJmzBiWL19embxCo9Hw1atXUifN5IKCgujp6alMShAVFUUDAwP+/vvv/Pz5s7LdggULaGpqyjt37ijL3r17xyVLlqR4X4mMTaPRcPbs2XR0dFQmrdFOZtOxY0fl3bJx40YWKFCAV69eJUk+evSIZcqUoUql4qhRo+S+EP8qCeKJ7yo+Pp4dO3ako6OjTiJ57YxNX7584Zw5c2hubq7MzLN161YOHjyYHTp0UFrGSelqnJF969o9efKEZcuW5axZs0iSZ8+e5alTp7hhwwaditGbN2/4+PFj+vj40MXFRWdCC5HxfeuD/ObNm8yXLx9PnTpFkhw2bBhVKpWSm0grJCSEAwcOVO6Z1GYNExnT14H/7du3MzExkQcOHGCnTp1oZ2eXIuCyY8cOurq6Kj0n5N2Refxdb5aEhAQGBwezZs2abN26NWNjYzlz5kwWLlxY2UYb8PX19aWbm5tS5sOHD7lkyRIuW7bsH/8+8WNL7doFBQWxZMmSNDMz08lfNXr0aFaqVIm7d+9Wlr1584Y1a9Zk48aNZZb7TCq1xsOIiAgWL16c/v7+Si6zYcOG0dLSUplZlEx6r5QtW5a//PKLvGMymeTXU/scuXv3Lr29vVmzZk1l3ZQpU+ju7q7kzwwODqaenh7Xrl3LR48eceDAgZwzZw6PHj2q5OQV4t+iByH+RyT/4zYGBgaws7PD+/fvsWnTJgCARqOBubk5SMLIyAgeHh5ISEjAkiVLAADe3t6YOnUqVq9eDXt7e6jVagCAvr7+9zsZ8V1pr92WLVswaNAgzJs3D2/fvkXBggVhY2OD9evXw8bGBmPGjEHfvn0xcOBAtGvXDi9evMD+/fvh7+8PDw8PhIWFYffu3ShSpEg6n5H4N6lUKrx+/RqLFi1CZGQk9PSSXk1qtRo2NjZ49eoVAKB169bInTs3Lly4gOvXryM2NhbHjx9Hr1698PTpU5ibmwMAsmXLBpLQaDTpdk7i36G9F1atWgVLS0vMmDEDAQEBqFu3LlasWIH3799j+fLliI2NVfapUaMG6tSpgy1btuD+/fvQ19f/R+8r8eNiUqOzcj9s2rQJc+fORVBQEN6+fYvXr1+jadOm6NmzJ4oXL44NGzbAxMQENjY2yJ49O9asWQMAyJIlCwDAysoKhoaGiI6Ohkqlgr29Pbp27YrOnTsDABITEwH8df+JjIMk1Gq1cu2SPxvKly+Ptm3b4tOnT7CyslKWt2rVCrly5cK6deuU7c3NzdGsWTNYWFjAxMQkbU9CfFfav2+VSoWHDx9i//79yrJ8+fKhR48eOHHiBI4fPw4AmDhxIkhi8eLF+PjxI4Ckeu3o0aPx6NEjREdH65Qv75uMS6PRKN8sL1++VJ4jjo6OaNSoEV6+fIn58+cDAFq2bIkCBQpg69atiIyMhLu7O9q0aYNhw4bB1dUVhw4dQs2aNVGzZk2YmZlJnVT8u9ItfCgytOHDhyvJW7+VpFXbehEWFkY7OztWr15dyXWX3ObNm1mzZk3eunXrm2WIjC0iIoK1atWipaUl/fz8WLhwYdarV49Hjx7lp0+fuGrVKi5fvpxBQUEMDw/nqVOnaGdnx8DAQL5584YLFy7UGcIi90XGllqr9bJly1isWDFWq1ZN6alLkg4ODpw8ebLy8/79+1m8eHFaWFjQ09OTJiYmSsJpkTmtWbOGhQoV4pIlS/j+/XtGRUUp65YsWUITExOePXtW51107tw5Ojo6cvz48elxyOI72bdvH+3s7Ghvb89SpUrR2NiYvXv3Jkl2796dxsbGXLhwobJ9eHg427dvz/Lly+tMfFSvXj0ljYfInJ48ecLmzZuzdu3a7N27Ny9evEiSvH37NmvUqMFffvlFZ/s//viDHh4enDdvXnocrkgDyeuO79+/Z3R0NLt27crixYvz8uXLOtvWqFGDLVu2VHp6r1u3jqampjx69GiaHrNIG8nrpc+fP2fdunVZqFAhNmjQQOmh/fr1a3bv3p2urq7K+2TVqlWsWLEip06dSjKpR/itW7d48uTJtD8J8VORIJ74n8ydO5cqlYr37t0j+Z8DeXPmzGG+fPno6enJ69ev89atW7x8+TK7dOlCCwsLzpgxQ2ZsyiRSC9AsWrSI1atXZ0xMDMmkWURz5crFJk2aKMuS27Nnj84Mgv+pfJFxJP87v3z5sjKMXqPR8MmTJ7S3t2eTJk24b98+kmSvXr1Yq1YtnTKePHmiDLtOnnhe7o2MTXv9vs51WatWLXbp0oXkX++U5Nu4uLiwcePGfPjwIR88eMBhw4aRZKrJxUXG9OHDB7Zt25YqlYqzZ8/mhw8fGBUVRX9/f+bNm1eZndjFxYVNmzbV2TcoKIhVq1alubk527VrR1dXVxYqVEiZTVBkPF/XF7/ONbVv3z5aWFiwbdu2HDFiBD08PGhhYaFMnLV8+XI6Ojpy/fr1yj5v3rxhgwYNWKdOHRn6lskFBQVRpVJx7NixSr1jzJgxOvXRPXv2ME+ePJw3b55yv9nb27NatWopUnZIrrPM4/bt2xw4cCDbtGnDtWvXsnPnztTT0+OKFStIksePH2e5cuXYv39/kknvps6dO9PZ2VlnuLWW1EvF9yJBPPFf0X5AxcTEsEqVKqxdu/bfbq998SUmJnLt2rUsXLgwjYyMWLJkSdrZ2dHDw0Nnym6RcX3dO+7Fixckk15w9evX54YNG0gmJRG3sLBg/fr1dXpfnj59moGBgezWrRuzZcvGMWPGUK1WK/eQBHkzj3PnzrFEiRJ0cHBgnjx52LNnT2WSigsXLrBTp060sLDgtWvXOGLECLZo0YKvXr365j2QmJgo90cG9vWzI3n+1CdPntDZ2flvJyo5d+4cra2tWapUKRoaGrJ9+/ZyP2Qyb9++pYuLC1u0aKHzoX316lXmypWLkyZNIpn0fnF3d+euXbt09o+Li+PMmTPZs2dPjhs3Lk2PXXw/X08yoZ14wM/Pj40bN9ZZV7FiRWVG6hcvXrBDhw6sXLmyzgQ4ly5d0unpKzK25HVIMmnW4Z49e3LIkCFcvXq1kiNzxIgRdHJy4pEjR3T2L1q0KGvWrKnMQHr//n35Zskkvq53fP78mT169KBKpWL16tV1Zq739/dnsWLF+OeffzIuLk6ZMOnSpUskkwK+Y8eOTbVTghDfiwTxxD+W/IEXERHBAwcOUKVSKS+9bw1xTP4CjYyM5OnTp7lv3z6lRVS7r3x0ZQ7bt29n2bJl2apVK+WaOjs709vbmyVLlmSxYsWUWb/IpG7riYmJ3LFjBytUqMD69eun2polMqavWyHv379PFxcX9u3blw8ePOCSJUtYs2ZNli9fXmnNjomJYYsWLVijRg3WqFGD+fLl48ePH1MtX54bGU9cXFyqyzds2MBKlSqxadOm7NKli/KBVaRIEfbs2VO5P7TX/NmzZ0qPiEuXLnHNmjV88OBBGpyBSEvaukVAQADLli3LuXPnKusiIiJoaWnJLVu2kCTv3bvHhg0b0tvbW7k3kgeFkz8vpPdMxrZjxw5aWlpy3759vHbtGr28vJSgXuHChZXhbdrnyMWLF2lsbMyDBw8q+zs6OnLIkCHpcwLiu9BoNIyMjOSwYcOUQMzTp09JJg2ZtrS0ZKFChfjixQvl2RAXF8eSJUuya9euymQWd+7coaurK3PmzMkZM2YwISFBeX5ISpeM7Vu94/bs2UNHR0fWq1ePJHXuj7x58yqNRRcuXGCVKlVSjBIRIi1JEE/8V+Lj4+nj48NChQqxQ4cOVKlUygxv/0RqH9zS1ThziIuLY69evZgrVy7OnDmTO3bsUCpQc+bMoUqlStED4s6dOxw8eLDSspn8A1ytVktFKQP7+u96yZIlDA0N5datW5k7d26dVs7Dhw/TxcWFY8aMUZYlJCRw3LhxzJMnD1UqFa9fv55mxy7+fWq1mnFxcaxTpw7/+OMP5f5Qq9VMSEigv78/raysOG3aNK5YsYKlS5eml5cXX758yYCAAGbNmlWZpVhr3LhxXLlyZXqcjkhDyesN3t7ebNKkCZ8/f85r166xUKFCdHd35/Pnz5XtlixZQg8PD2XW89TKk+B/xqWtF7x9+5YtWrSgpaUlDQ0NOWjQIMbGxpIkmzdvrswiqdFolH3Kli3Lfv36kUwaPjt69GidRkWROTx+/JgqlYoLFiygr68vVSoVT58+reTINDMzU+4JbZB3w4YNdHJyYvPmzRkUFMTWrVtzwYIFPHbsWHqeivgXJf+meP36NYcPH86AgABeu3aNZFKexH79+tHU1FRpONY2Onbt2pWenp7K/suXL+f27dt1ypVvFpGWJIgn/iuTJk2ig4MDQ0JCeOvWLY4bN46GhoZKZfnvHmBfr5NKdMaVWuD1+vXrLFWqFPfv359i3eXLl1miRAl6e3vzxYsXjI2N5d27d9moUSNWr16d9+/f/4/li4zp+fPnrFKlCitWrMg///yTCxcuZMWKFXVy2UVHR3PAgAGsUqUKo6OjleUajYZBQUF89OhRehy6+Bd8/dxv164dCxcurBOwj4iIoIeHB48fP64sa9y4MXPlyqUE7mrUqMFSpUrR19eXmzZtYp06dWhra6v0qhGZm/adcOzYMZYuXZrFihVjzpw5OXz4cGWb5MGdX375Rac3nsh8wsLCaG9vTyMjI53JjTQaDdesWUMHBwfu3r1bWRYVFcWSJUt+M7grMjbt37+2h22VKlVoYGBAV1dXXr16Vdluz549LFq0qNKonLy+uWDBAlauXJkFChRg/fr1+fbt2xTlix/ff/q+PHbsGE1NTVmmTBkWL16cpqam3Lx5M9VqNW/evEk7Ozt27txZZ5/69euze/fuch+IH4YE8UQKGo0m1SBKQkICnZ2dlWSeJBkbG8vhw4czR44cOi+7vytPm7NEgngZz9fDnq9cuaIkgF63bh1z5cql08Mq+fC3c+fO0cbGhgUKFGDNmjWZPXt2ent7SwLpTOrz58+sVasW/f392bNnTyU4t2XLFubLl4/Hjh3TqQyNGTOGZcuWVVrFvyaB3Yzl6+f7uHHjOHToUMbFxdHExISjR49W3gXbtm2jo6MjSXLatGk0MzNjzZo1ldkkyaRW8zlz5tDDw4Ply5dnhw4ddAK+4ucxcOBAWltbK4nGSer07CSTkpPLx1bmdOTIEU6cOJFkUgPhsGHD6OzszIcPHyrbhIWF0dfXl5aWlty9ezfv37/P6dOns1ChQilmIRUZ29ffGNpZZ8uWLUtjY2P+/vvvOtu/f/+eAwcOZMmSJZUGwuQpHmJjYxkWFqZTvsg4Urte2mWXL1+ml5eXTi/+uLg4+vr6smzZskqj4OzZs6lSqdi7d28GBgZy5syZzJEjh85EOEKkNwniCR3JH34vX77k/fv3dZL+enl5sUePHjr73Lx5k3ny5KG/v3+KMpLnnHn06BHbtGnDVatWfaejF2nlyJEjdHJyYuXKlZWX3vz58+nk5JRq0l/tx/rdu3d55MgRLlq0iFeuXFHWy8dWxvat3FLNmzenSqXigAEDdJaXKVOG3t7eysy0JNm3b182atRI8lRlAsn/nnft2sX8+fPTzs5OeVZMnz6dZmZmymQmZ8+epa2tLa2srFisWDFu2rRJ2f/Bgwc6z5TPnz9/s8FIZDz/TT5c7X0VGhrKChUqsHfv3koj0LfeIRL8z9i+nrFarVZz5syZVKlUSm/eo0ePskqVKsoM1lqvXr2it7c3CxUqRFtbW9rY2CiznovMJyIigh06dKCPj4+S1y4gIIAmJiYpJkA5deoUPT092b1792+W960ODeLH9+DBAzZq1IgLFizQWX7hwgVmz56dhoaGDA4OVpZHRUWxUqVK7NmzJz9//sxHjx6xYcOG1NfX56hRo+jm5ibD7sUPR4J4IlUDBw5k1qxZWaJECdapU4cxMTFUq9Xs3r0769evr/NR9fr1azo4OFClUiktnF8nku7Tpw+zZ8/OFi1aMDIyMs3PR/xz/6nSsnLlSlpaWnLChAm8efOmMizy6dOnNDY25uzZs3UCv2FhYUqC6a9J3ruM7euP71OnTvHevXvKzzExMTQxMWG3bt10JqY4e/YsnZycWLJkSU6dOpWdO3dmjhw5uHnz5jQ7dvF9PX78mB4eHsyZMyenTZuWYr29vT3btGnDuLg4Pnz4kDVr1mSpUqV0nh0ajYaDBg3SGTIpMo/k75qvZ/X7VmBPu3zq1KmsWLEiAwICvt8BijTzd/UAbSOgVkREBKtVq8bq1auTTOpJM2XKFDo6OvLkyZMp9o+MjOSZM2f+3QMWP5S5c+fS1NSUTZo04Z49e3j79m1lXYkSJfjrr7/yzZs3yrKEhAROmzaNuXLlUmaeFZnHokWLaGVlxezZs3P+/PlKL92PHz9y8uTJNDIyUtL4aL9XZ82aRTs7OyYkJDAxMZGbN29m7ty5uXXrVp2y5ZtF/CgkiCdI/lUxPnXqFHfs2MEmTZrw6NGj3LNnD3PlykVfX1+q1WoeP35caQHXunXrFps3b85SpUrpJKYnyaVLl9LKyooVK1ZMtXIlMg5tcugGDRqk6I2p/RgbNmwYCxcuzIkTJzI0NJS3b99m27Zt6ebmpjM8QVueyLiSV2ROnTrF/Pnz09bWljlz5uTvv//OW7dukSTHjh3LXLlypRjCdPXqVfr7+7NBgwb08vKSGYkzkbdv39LZ2ZkFChRQEs1rff78mR8+fGBQUBBVKhUDAwNJkgsXLmThwoXZu3dvnjlzhleuXGHTpk3p4OAgLeCZWExMDLt06cJatWqxa9eu3LBhA8n/HMSLiYmhq6srf/vttxQBQJFxJQ++kEkBuxIlSnDQoEEk/7r+e/fupZ6envL8uHr1Kps1a8by5cszPDycffr04bBhw/j+/fu0PQHxXaUWQHn27BnLlCnDjRs3prrP8ePHqaenp/MeCQ8P54sXLzhp0iSdFDAic5g9ezZHjBjBXbt2sWXLlvT09FQakp8/f85ChQqxW7duOvsEBgbS1NRU+VZ5+fIlO3ToQGdnZ2Ub+W4RPxIJ4v2kUnsQvXz5kiqVivnz59fJNbNnzx7mzJlTmYVnxowZLFiwIMuVK8f+/fvTwcGBffv21Ukg/eLFC1apUoU2NjZcuXKltFxkIPv372fOnDm5fPlyPn78mORfQbr379/T2NhYqThrr2vyHhVjx46lpaUlnZycaG5uTi8vL2Vog8hcnj59ygMHDrB169acPHkyw8PDOXPmTFauXJm1a9dWtrO2tmanTp1SzWGW/AP8vxlaJ35sEyZMYLVq1XQmq5g3bx4tLS05d+5ckmTNmjVZsWJFvnv3jp8+feLmzZtZoEABlixZkgULFmTjxo356tWr9DoF8Z2FhITQxsaGXl5eXLFiBQcPHkwjI6P/OORR+765cuVKil5aImOKiYlhyZIlaWhoyE2bNilpFd69e8cRI0bQ0tJSZxTH+/fv2a5dOxYqVEhZduDAAbq5ubFAgQIsVqyYzGieySSvZyYf7aNNx3DgwAG+efOG27Zt45IlSzht2jRlpEjTpk1ZuHBhDhw4kPb29jr1E5F5aOuP58+fp4WFBb98+cKoqCiWK1eOzZo14549e0iSy5Yto56eHjdt2sSIiAiSZIcOHfjLL7/o3GdBQUHMnj07R40alfYnI8R/IEG8n1BqOae0D74JEyZQpVIpM3pp1a5dm1WrVlUedhcvXmS3bt1Yo0YNzp8/P0U5nz594sqVK6UVNAMaN24cVSoVBw8ezJo1a+r0pImIiGC5cuVSzX/4/v17paUrLCxM6U2jJYHcjC21Ydbt2rWjgYEBy5cvrzNUZdu2bbS3t+fixYtJklu3bmXWrFl54MCB/6p8kXG9e/eOXl5e7Nq1K48cOUIXFxcWLlyYK1euVJKIP3z4kCqVin/88YfyURYVFcWwsDCdfIkiY/tW2oThw4fr9Oo+dOgQVSoVu3btqvOR/rXExESd8uTZkfG9evWKHTp0YKdOneju7s4hQ4YoAdqbN2+ybNmybNOmDUnd3ngqlYpLlixRlr99+1an3iEynq8b8pL/fb97947dunVj165duWbNGpJJqRtatWpFCwsL2tjYsHHjxnR2dmbhwoVZpUoVkknvlaFDh7JmzZqcMWPG3/4+kfFph9zv3LlTWda6dWvmzJmTx44d47Nnz9iiRQuqVCo2bdqUFStWpJWVFQ8fPkzyr3siOjqaM2bM4P79+9PjNIT4WxLE+4nNnTuXc+fO5d69e3WW586dm7169dLJYXXr1i2am5tz3rx5SlDn6xeftlItL8SMSXvdDh48yMaNG/Py5cusV68e69atqySk//LlC/v27ctKlSrx/Pnzyr5qtZrLli1jUFBQiusvyYEzvuTXNPlz4cWLF3RwcKCLi4vOLMORkZH87bff2LBhQ+Vj3NnZmRUqVJAZRX8imzdvpr29PbNkycJJkybpBHq1gbzevXszX7580msmk0r+7H/69CkvX76sNCRWqVKFy5cvZ2RkJKtWrUoLCwtOnTpVp3fd1++T5I2Q2mFw0kCU8X369ImlSpViUFAQz549y+rVq7Nu3bpKL/4VK1Ywe/bsPHfunLLPli1bqFKpqFKpUgzbF5nP1atX6e7uTk9PT7Zs2ZIqlYpz585lQkICY2NjuWHDBl65coU3b95kXFwct23bRhMTE2V4ZEJCggT/fxIvXrygm5ubkveuR48eNDY2pqurK52dnTlkyBCeOHGCOXLk4IIFC3QmuRAio9CD+Ons3bsXdnZ2WLp0Kfbv34+mTZti6tSpeP36NQBgypQpWLFiBS5fvgwAIIkSJUqgYcOGmDJlCl6+fAkAUKlUAACNRgMA0NPT01kuMhbtdfv06RPev3+PMmXKYPXq1ShatCiGDh2KLVu2wMjICD4+PsiZMyd8fHywYcMGnD59Gt27d8eoUaMQFxeX4vqrVCro6+unxymJ/wOSyr9VKhWOHj2KqlWrokWLFti9ezeio6NhZWWFzp074/379zh58qSyfd68eWFoaIiEhATl+RAYGIhFixYhR44caX4uIn00bdoUZcuWRZUqVdC9e3eYm5sjMTERAGBoaIj4+HjMnTsXcXFxiIiISOejFf9XarUab9680Vmmr6+PhIQEdOnSBa6urti6dSvu3buH2NhY5M6dG4sWLYK9vT0cHBxw+fJlDB48GEZGRjh48CCAv95LarUaAJAlSxYkJCSga9euKFCgAKKiopS6h8iY1Go1jI2NUb58eaxduxaVKlXC5s2bYWBggJ49e+LcuXNo0aIFatWqBV9fXzx58gRv375FcHAw5s6di/Hjx0Oj0ei8s0TGdeXKFfTp0wd37twBAISHh6NevXqYPXs26tati5MnT2LTpk0YPHgwAgICcODAAZiYmKB169ZwdXWFk5MTDA0NceTIETRv3hw2NjYAkp4denp6Sp1E6qWZE0lYWVnBzMwMv/zyC3Lnzo0LFy5g//79uHLlCrp27YrVq1dj0qRJ+OWXXzBnzhy4u7sDABISEtL56IX4L6RvDFGktdu3b9PLy4uTJk1Slo0ePZoFChTQSQrr7OzMpk2bMioqSln2+fNnmeHrJ/Dp0ydmz56dp06dUpZ5eXnR3Nyc48ePJ5mUGLZRo0YsVqwYCxUqxGrVqunMSioytq+H3N+4cYNlypTh8OHD+csvv7BEiRKcOXMmyaSeMqVKlWLTpk117oHWrVsrw5+Sk566P5cLFy6wYsWKnDBhgrJMo9Fw0qRJNDIyYnBwML98+ZKORyj+DeHh4bS1tVXypWq9ffuW9erVo6enJ8+ePctnz54pvXPHjh3L7Nmzc/bs2Tr7XLt2jQ0bNmRISAhJ3WfGvHnzaGFhwVq1aum8o0TGptFoOHXqVHbo0EFZtmjRIqpUKhYsWJC7d+/m9evX6eTkxEKFCjFHjhysWLEinzx5ko5HLb6HzZs308HBgdOnT1eWVa9enSqVSid9T3R0NN3d3enr68vw8HCS5I4dOzh//nyWLFmSDg4OPH36dJofv/gxjB07ljY2Nly0aJFOegaNRsNz584xJCSEDx8+ZJ48eThu3DhlnRAZhQTxfjJhYWFKjoCYmBj6+PgwR44ctLS0ZP369ZWZwc6dO0eVSsWAgAB5qGUC//QaajQaRkdH09vbm3v37uWNGzfo5uZGCwsL+vj4sFSpUmzVqpUyJDI6Olrprk7K8ISM7uvrt2TJEp46dYoLFy7kyJEjSSYllPbz86Onp6dSQd68eTNNTU1ZsmRJTp48ma1bt6aRkVGKofri56PRaNinTx/WqFGD9+7d49GjR2lra0sbG5sUAR+R8Rw6dIgFChTgixcvdFIsaJ06dYoFCxZMdd27d+9YtmxZ1q5dm5s2beLt27e5bNkyFipUiL/99ptOI+LBgweVPFfr16+Xekkmor2WS5cuZeXKlRkZGcl69erRyMiIkydPpq+vL8uXL89BgwYxLCyMgYGB3LVrVzoftfiefH19WatWLQYFBZFMmsQmT548HDlypM5w+1WrVrFEiRJcu3YtSXLmzJn08vLi5MmT0+W4xY9j4sSJLFu2LMlvfwPFx8dzyJAhdHBwUFJ8CJFRSBDvJ6RWq/nw4UN6eHjQy8uLDx8+5MWLF5VWLm1ukQYNGnDKlCnpfLTi/2rcuHHs2LEjyX8ezKtWrRrz5ctHY2NjdujQQZnQ5MqVK8yaNStbtGih84FFSgAvo/m7e+Hu3bu0sLBgoUKFaGZmRmtra51ZRs+cOcMaNWqwc+fOyrLmzZvTwsKCgwcP5pAhQ5SZjYV4+vQpK1WqxKxZszJr1qzyXskkAgMDmT9/fg4ZMkRZ9vLlS+7cuVPJnTlhwgTa29vr7KfRaJTnz+nTp+nj40MzMzO6urqyQIECXLZsmc72O3fupKGhIUeNGsUPHz5857MS6eXp06fU19enSqVi48aNlQkqPn78yHXr1tHAwEBGg2Ry2px1ly9fppubGwcOHKg8S7p06cLy5cvr5EUkyV9++YVVqlTh/fv3+fnzZ52e3alN5Cd+DtevX6ehoSEfPHhA8tt1XnmniIxKEolkEvwvcoHo6enh8OHDSEhIwNKlS2Fvbw99fX2YmJhgzZo1OH/+PABgz549GDJkyPc6ZJFGLC0tsWbNGty4cQMqlepv7xVt3iEvLy98/vwZ58+fx+rVq5EvXz5oNBq4urri3LlzCAgIQO7cuXX2lfwiGYtKpcK1a9ewa9cuZVl4eDi8vb1x8OBBjBo1Co8ePcKcOXOQNWtWBAQEKNt5eHigWrVquHXrFrZu3QoAGDRoEIyNjWFtbY0pU6bAzs4OCQkJkqdIwMbGBi1atEDfvn3x7t07ea9kcHv27AEAPH/+HIaGhpgyZQoAICYmBkuXLoWfnx9CQkIAAM7OzoiMjMSNGzcAJL1jVCoVVCoVwsPDUblyZaxcuRK3bt3C0qVLER4ejs6dOwP4K99u5cqVERYWhrFjxyJbtmxpfboijcTGxqJUqVKYPn06du3aBVdXVwCAqakp2rZti6ioKHh4eKTzUYr/i/Dw8L9dr81vWaZMGXh5eeHs2bM4cOAAAGDcuHGIiorCrl278O7dO2Uff39/2NrawszMDFmzZoWRkZGSIzFLlizf72TED83Q0BB58+bF3bt3AXw7X7u8U0RGJUG8TCAxMfG/nkwiKCgIefLkgYmJCQDg1KlT8PHxQbZs2WBtbQ0ASsBHW5EWGYv2urVr1w61atVCjx49APz9xCPaQJyFhQVcXV2RK1cuZZ12P1dXVxgbG8t9kcFpNBqsW7cOv/76Kz59+gQAePz4MS5evIiRI0eiQoUKAID27dujS5cuuHjxIk6dOqXs36ZNG5ibm2PhwoV4//49ypUrh0aNGimTnQCAgYGBTHQjACR9aE2ePBlZs2ZN70MR/6OjR4/CzMwM48ePR0JCAgoWLAgLCwt07NgRuXLlwurVq9G/f3/kzp0bO3fuRExMDIoXLw43NzeMHj0awF/vmLt372Ljxo14+vQpACB//vxwc3MDAGXyE+0HvYWFBfLly5fWpyvSWLFixRAdHQ0DAwMAfzUqasmkSBnb0qVL0axZMxw7dgzAtzsfaOuWvXv3hoGBAfbt24dnz57BysoK3bp1Q2BgoFLHAIDatWtj7dq1yJMnj7JMT09P6h4/uaJFi+LgwYNo0KBBeh+KEN+FBPEyMO0LUDtb26RJk3D06NG/3Uf7cuzQoQOOHTuGdu3aoXbt2hg3bhy6d++O48ePo1ixYgCgtJbLzG8Zj0ajUa7bhw8fMHjwYJw7dw779u1T1qdGe09ZW1vjypUrMDIyUtZ9XSGS+yJj09PTQ+/evVG4cGEMHjwYAFC6dGn4+/vj48ePsLCwULZr0KABihQpgmnTpin7Ozg4oGHDhmjevLnSkjl27FjcuXMHO3fuxOfPn9P+pMQPSz6oMr4lS5agSZMmuHjxIgwMDKCvr4979+5h06ZNGDduHHr37g1TU1P07NkTe/fuRVBQEIoUKYLevXvj6NGj6Ny5MwICArB27VrUr18fV65cSTUwI71nfl6VKlXC9u3bAUjv/sxCW6/UBukPHDiA2NjYb44M0c4ga2lpiTZt2uD69esIDAwEAAwePBgfP37E9u3bERMTo7Pf10Ff8XNTqVRwcnICk1KHpffhCPGvk6/wDEz7UbRo0SJYWVlhz549uHnzJuLj47+5jzbwUr9+faxYsQKOjo6wt7fH3bt34eTkBEBehJmBthLUvXt3VKhQAevWrQNJ/P7778r61GjvqaJFi0JfXx8RERFpdswi7dna2mLo0KFYvHgx7ty5gxw5cqB+/fpwc3ND//79le1KliyJpk2b4unTp1i6dKmyvGvXrujZsyeyZMmCxMRE5M6dG2vXrkX//v1hbGycHqckhPgXJP/oIYkPHz4ga9asePfuHd68eYOBAwdi3rx5aNq0KVxdXREdHa1s7+fnB2tra6xZswbh4eFo1qwZ1q5di/v372POnDkYN24c/P39sWnTJpiZmaXD2Ykflb29PZo0aSIf3ZmINlhXpkwZ/PLLLzhz5owyRPZbjTva5V26dIGdnR0OHz6My5cvAwC2bduGmTNnpmgAkKCvSI22Q4oQmY2K8qbMUJL3sAKSWrT69euH4cOHo3379vj06ZMyRPaflJH832q1Wl6CmcisWbMwf/58bNiwAbly5cL27dsxYcIEjBgxAsOHD09xLyUXExMDPT09yRXxE3j37h2aNGkCIyMjJVfm5s2b0bNnT+zcuRM1atQAADx79gx9+vSBgYEBNmzYoHPvkJRKkhCZwN/9LS9duhRjx47Fixcv0KlTJ0ybNg3m5uYYNGgQgoKCsGzZMpQuXRpA0tDbjh07YsyYMfjtt99gYGAAkoiIiICVlZVS15B6h0ju7+olImPRfl6qVCrl7/zNmzdo3rw5ChQogEmTJqFAgQLffOZo74V9+/bBz88PY8aMQadOnVKsF0KIn5EE8TKgV69e4fz582jcuDH69u2Ly5cv4/Tp03j//j1ev34NtVqNnDlzKjlkUntBJiYm6gxZkYp0xqTNWfj1tdNoNKhQoQLc3NywaNEiAMCXL18wY8YMTJo0CY8fP4alpWWKe0ObDFhb3sePH5EtWzYJ0mRyx44dg5eXF3bs2IFGjRohPDwcAwYMwJMnT3DhwgVluydPnsDW1jYdj1QI8b0kf87v2bMHZ8+ehYWFBezs7FCxYkU0bdoU9+7dQ+HChRESEqLUIc6ePYsxY8bAxsYGK1euVMpr3749bt68icWLF8Pd3V3nd0mdQ4jMK/k3xtfBtlWrVmH+/Pno3Lmzkqv5P7lw4UKKZ4gQQvzMpAnjB5dajHXMmDEYOXIkAKB8+fI4f/48fH194e3tjR49esDV1RUNGjTA/v37Aeh2V9cOldW+XJ88eQJAuqFnRNoPLn19fURFReH+/fvKBAV6enqwsrLSGVqdNWtWNG/eHLly5cKoUaNSlJeYmAg9PT3o6+sjPDwc7dq1w6ZNmwBIPquM5r+ddMTDwwPt2rVThtDa2Nigc+fOuHTpEubPn69spw3gyZB7ITIflUqF0NBQVKxYEd26dUN4eDhWr16Nli1bonv37vD398euXbtgYGCgzEgLJD0/atWqhWvXrmHv3r3K8pEjR8Lc3Fwn4byW1DmEyLy03xiTJk1Cv379MH36dLx58wYA4OPjA3t7exw4cAB//vkngG/XWbR1WG0ATyZUE0KIJBLE+8ElD54kJCQAAOrUqYNPnz7h1atXaNOmDaZNm4ZPnz6hefPm6N69O8LCwhAdHY0TJ04o+2o0Gp0eW6tWrULWrFmxdu1a+SDPoLT3xogRI1CwYEE0bdoUDRs2xPv37wEAhQoVwrNnz3D16lVlH0tLS5iZmWHZsmU4f/48VCqVcl9pK12DBw9GyZIlERsbK7M6ZTAkoVar/+shJlmzZsWgQYPw/v17TJ8+HUDSLMSLFi1C3bp1U2wvH+BCZD5v375Fjx494OTkhNu3b2Pt2rVKT7rbt29j5cqVKFu2LNzd3bF3717cuXNH2bdp06YoUqQIFi1ahLi4OABJuVWPHTsGe3v79DolIUQ6OHLkCAoXLoyNGzdCpVJh1qxZ6N+/Py5dugQA6NatG54/f46dO3eCZIo6i/abxdDQEEBS2g/g2zPaCiHEz0aCeD+4e/fuYcaMGdBoNDAwMACQ9BIzNzdXWrX69++PjRs3olu3bmjWrBksLS1RtGhR5M2bFwCUj3o9PT2cP38eZcuWxbhx4zBv3jwMGzZMPsgzGG0l5syZM9i7dy9u3LiB3bt3Y/r06bhx4wZ69eqFhIQENG/eHDExMToTEbx+/RpOTk4oU6YMdu/eDQDKfRUQEABra2ucPHkSO3fuxM6dO5Uh2SJj0PbMDA0NRd++fTF37lycOnVKWf93rdjFihVD7969MWTIEERHRyNPnjzo1q0bihQpIhVnIX4Ce/bswZ07d9CvXz+YmZkpDUW+vr4YMWIETp48iT179qBz584wMDDAvHnzlH2LFi2KqlWrIjw8HMHBwTrlSkOhEJmTtuEwuXfv3mHZsmVo27Ytbty4gTlz5mDSpEk4cuQIVq1aBQCoXbs2KlasiJMnT+L48eNKWckbIvX09HDt2jUUL14cHTt2BCANiEIIoaBIN2q1WufnuLi4FNtMnTqV+fPnZ8uWLfn06VOS5OvXr2lkZMRz584p5cTFxfH8+fMMCgqip6cnixUrxuvXryvlREZGslWrVsyRIwcHDhzIt2/ffsczE/8mjUaTYtm7d++oUqloaWnJRYsWKcsPHz7MHDlycOPGjSTJuXPn0t7enq6urhwwYACLFClCPz8/fvjwQdnn1atXrF69OvPnz88lS5YwMTHx+5+U+Ndp75MJEybQxMSETZo0Yf369eno6MiJEyf+o+v6/PlzLlu2TKe81O4/IUTm06tXLzo5Oeks0/79h4eHs0GDBixatChJctKkSSxTpgyPHDmibPv+/XtGRESk3QELIdJN8jrFx48fef78ecbExJBMqou+ffuWHz58oK+vL7Nnz87y5cvT1dWVW7ZsIUnevXuX5cqVY7t27fj+/XudsmNiYti+fXtmz56d/v7+fPnyZdqdmBBCZADSEy8d8P/3atF2Hz98+DAAKN3GL126hLCwMABJQxuPHDmCGzduoGvXrkqi6SpVquDYsWNKOffu3cPixYvRvn17FC9eHH/++SecnZ2V31mrVi1ERUXhwoULmD59OnLlypVWpyv+DxITE1Pko9NoNDAzM8P06dPx6tUrnXxDtWvXRtWqVTF//nyEh4fD398f27dvR/ny5XH16lV0794dixYt0pl11szMDO3atVPuMWnpzBj4Ve84lUqFBw8eYMeOHdixYwd27tyJffv2wdraGosXL0ZISMh/LC9//vzo3LmzUl7y/xdCZG7Pnj2DkZERIiIilGXav/8CBQqgfPnyeP36NZ48eYImTZogb968GD9+vPIs0k6oxf/fo0YIkXm8ePFC52dtXXHixIkoWLAglixZouS4q127NlQqFVq1aqX0zt2zZw9ev36NLVu24N27d3B0dMQvv/yC0qVL69RJJ02aBDs7O0RFReH06dOYO3cuLC0t0+5EhRAiI0jPCOLPRqPR6PS+W7t2LXPkyMHWrVtTo9Fw8+bNzJ8/P52cnGhubs6xY8fywYMHJMkLFy6wW7dutLKy4u7du+np6cmZM2cqZcXFxfHy5ct89uyZsiwxMZEJCQkkk3riiYxrwYIFnDVrFnfv3q2z3MrKil26dFFaP0nywYMHzJ07N2fMmKH0uNNoNDo9qrQtqNLLKuPRaDQpetVpnyvz589nw4YNSZIHDx6kq6sr7ezsuHnz5n9c3ufPn5XlQoifx8KFC2lkZMSgoCCd5drny4YNG2hsbKy8V5YuXcqAgIA0P04hRNqJjY2lq6sr586dq1NXSExMZM+ePVm8eHHu2rWL4eHhjI2NVdYfOnSINjY2vHHjBkny7du3LFasGK2srDhmzBiSuvWML1++sGvXrrS2tuauXbvS6OyEECJjkiBeGkn+4rtz5w4rVarEvHnzcs6cOSTJc+fO0cHBgTNmzOCDBw84fvx4VqhQgY0aNdIpx8fHhy1atKBKpWLjxo1T/V1qtTrFUF2RMR04cID29vYsXrw469atSwMDA44bN04ZWrBu3ToaGhry6NGjJP+qEPn5+TFPnjy8d++eTnlyX2QeERER3LBhAx8/fqw8X6ZNm8YCBQqwVatWNDMz4/Dhw5VhKp8+fWJYWJhOGdogP0k+ffqUbdu2VYbTCiF+LhEREbS1tWXz5s35/Plzkn+9U+Lj49mqVSvWrVtXSf0hgX4hMjft3/ipU6dSrHv27BmLFCnCVatWpbrvkiVL6ObmpjQKBAQEsH379hwxYgQvXLigU772348ePVIaEoUQQnybBPHS0IcPH9iqVSuqVCqqVCpGRUUp6wYPHkwXFxed7Tds2EBbW1slfwRJRkdHc9++fcyfPz/Lli0r+WcysXv37rFevXocO3assmzq1KnMly8f165dq1R+3NzcWL9+fb569UrZLiEhgSdPnkzzYxbfx9c9JxcvXkwjIyMWLlyYNjY2XLlyJUny9u3btLGxoaurq07vzC9fvnD69Olct24dExMTU/TkGzRoEHPkyMEmTZrIM0WIn9jKlSupUqnYpUsXvnv3TnnmrFq1isWLF+e2bdtS7CPBPCEyp+QNvwkJCdy2bZtSR9i/fz+NjY118tklH/Vx7do1enh40NbWlpUrV6apqSkDAwPT9gSEECKTkpx4aWT48OEwNzfH+/fvsXnzZri4uGDixIkAgPj4eMTHx6NIkSJISEhQ9vH09IS7uzt27NihLMuRIwfq16+PyZMnIyoqCqampml+LiJtGBsbo0uXLhg1ahQ+ffqErl27YuLEiSCJNWvW4ObNmwCApUuX4sCBA9ixY4cy+2iWLFng6emZnocv/iUkldwz0dHRAICLFy/iwIEDuHjxIjw9PbFq1SocPHgQxYoVQ8OGDfHgwQNERETg1atX+PjxI6ZOnYrly5fDwMAAenp6SnkyI7EQIjkfHx8MHjwYO3fuRIECBVCvXj1UqlQJ/fv3x5AhQ9CsWbMU+0jeTCEyF7VaDZJK7m4A2Lx5M9q2bYsTJ04AAOzt7WFkZITAwEAAf+VwVqlUeP78OUqVKoVly5ahb9++qFy5MsLCwtCgQQMAUOqqQggh/jcqUrIPp4X169fDyMgI3t7eAIBZs2Zh7NixCAkJgaOjI0aMGIFdu3Zh48aNOhNStGzZEiqVCps2bVISRWtfkMWLF0dQUBDKlCmTLuckvj+1Wo3nz5+jQ4cOMDAwwIIFCxAfH49SpUphxowZ6Nq1K7JlywZvb2+4uLhg1KhR6X3I4l+iVquVYFtISAj69OmDuLg4VKxYEZGRkdi4cSMMDAwQGhqK/v37w9jYGKtXrwYANGnSBDdu3ECBAgXw/v17aDQaLF++HNWqVQMAvH79Gi1btsS9e/cwevRo+Pr6yoQmQggASQ0H4eHh2LVrF758+QIjIyP06dNHZ70E7oTInDQajRK8Cw4Oxp07d+Dj4wMA8PLygrGxMWbPng1zc3P07NkTd+7cQUhIiFKHeP36NVauXIm6deuiVKlSOmUnr9cIIYT430kQL41pK7+hoaHo2rUrjIyMcPDgQXz69An29vZo27Ythg4dijx58oAkGjVqBEdHR8yYMUOnnAULFmDFihUIDAyEtbV1Op2N+F/8tx9Aq1atwsKFC7FlyxbY29vj1q1bqFixIgoXLozJkyfDy8tLPqoyqZiYGLx69QpDhw6Fra0t9PX1sXr1auTLlw/Xrl1Ttvvjjz8QEBCAjh07okePHvj48SOuX7+OBw8ewMTERGk80N4nCQkJWLt2LZo0aQJzc/N0OjshxI/oW++TxMREZMmSJR2OSAiRliIiItCpUydcvXoVTZo0QY8ePVCqVCmcO3cOzZs3x9ChQ9G7d2+cO3cOv/32GwoVKoRff/0V+fPnx4QJE0ASmzZtgr29vVJm8uCgEEKI/xt5mqYxbcXYwcEBfn5+CA4Oxq5du2BiYoJx48bh4MGD8PLywh9//IEmTZrg0qVLyge4Vnh4OIYOHYomTZpIAC+D0Q43+G+cOnUKuXLlQrZs2QAAJ0+eRMeOHZEjR44U11+GKGRcX7envH37Fk2aNEH58uWRJ08ezJw5E9OmTcOECRPw8eNHrFu3Ttm2ZcuWKF68OHbv3o379+8jW7ZsqFSpEjp06KA8P7T3HkkYGBigU6dOEsATQqSQ2juKpATwhMiE1Gq1zs/h4eFo3bo1cuTIgYsXL2LOnDlKj7pKlSrBy8sL69atw5UrV1CpUiVs3boVALBkyRL069cPlSpVQkhIiE4AD4AE8IQQ4l8kPfHS0cuXLzFo0CBcvnwZt2/fBgCcOXMGy5YtQ2RkJMzMzDBv3jzkzZs3xb6xsbGSDy8DSd6zQaPRYNq0aShVqhTq1av3zX20rZYnTpxAvXr14OnpCZVKhZCQEJw4cQKlS5dOo6MX35M28Pp1BTc+Ph5r167FoEGDMHToUAwePBgA8PTpU4wePRp3797F8ePHYWxsDADYunUrxo4diyFDhqB9+/ZpexJCCCGEyLDevHmD3LlzIzg4GE2aNMHt27dhbm6OiIgIZM+eHa9fv4a9vT2eP3+OypUro23btujXrx9y586NxMRExMTEQE9PD2ZmZgBk6KwQQnxPEsRLZydOnEDHjh3Rt29f9O/fX1n+8eNHpeeVvAgzj2XLluH333+Hvb09WrRogV69eiFr1qzf3F4b/Nu8eTMuXLiAmJgYjB8/Xpl8QO6NjOXvhj3funULu3fvhrOzM8qWLYv8+fMjIiICXbp0wfPnz3WGz+7atQvjx49Hs2bNMGzYMKXs+/fvw9HRMS1ORQghhBAZwN/VPb58+YLOnTvD0tISEyZMwN27d9GqVStUrFgRQFKDYkhICGJiYjB9+nR07NgRkydPxh9//IG5c+eiadOmOr9Do9EoE1wIIYT4PiSIl060L7sPHz5gwoQJmD59OmJiYpTAnZbkkMg8Tpw4AT8/PwwaNAi+vr749OkTTExM/naf5BWv5P+W4F3Gpb2O2v9Xq9UYNGgQFi5ciHLlyiEsLAxGRkZYtWoVPD09cfjwYbRu3RrTpk2Dr68vgKRZaidMmIDVq1cjODg4xbAVyZEohBBC/Nz+ab2xV69euHjxIqZOnQpPT0/s3bsXEydORKlSpeDq6gp7e3scPnwY69evR2RkJACgWrVqmDBhAipXrpxm5yOEECKJJDhJJ9qXavbs2dG6dWvY2toiW7ZsKT6+JYCX8Xwr+feBAweQI0cO+Pr6IiYmBpGRkdBoNDA1NUWBAgUApAy+qFQqpTwJ4GV8O3fuxPnz5zF8+HDkzJkTAHD27Fns2bMHQUFBcHd3R2xsLBo2bIjJkyfDzMwM1atXR5s2bTB27Fh07NgRWbJkQc6cOdGwYUPkz58/1byYEsATQgghfm7ausD06dMRHh6OadOmIWvWrNixYwdcXFxQuHBhAMD48eNRu3ZtbNy4EcWKFUPjxo3xyy+/6NQ179+/D2dnZ2XY7YkTJ6SuIYQQ6UQiRD+A0qVLo0ePHgDk4zsz0AbwVq9ejX379uHGjRsAgIoVK+LSpUvo1KkTmjRpgl69eqFMmTKoV68e9uzZA0D3+muTDWvLCwsLAwAJ4GVgFy9exMGDB3Ho0CFl2eHDh2FmZgYnJyeQRPbs2TFz5kw8f/4chw8fhoGBATp27Ihs2bKhT58+yn6enp7o168fjIyM0uNUhBBCCPGDW7NmDYYMGYKgoCDs378foaGh8Pb2RmBgIBISEgAAuXLlQpcuXXDu3DkcOXIEQFJd89mzZ3j48CFmzZqFSZMmoWHDhsidOzcAKENnhRBCpD0J4v1AZGRz5rBz505YWVlhzpw5GD16NOrWrYtdu3ahadOmWLhwIWJjY9G8eXN06dIFYWFhSEhIUCpNQNIQao1GowTr1q1bB1NTU6xYsQKJiYnpdVri/0AbkB08eDAsLS2xe/duPH78GEBSRTk6Oho5cuSAnp4e1Go1ypYti1KlSinBvmLFiqFFixY4deoUPn36pFO2PDeEEEKIn9vXs8xqA2x2dnYAABsbG2zduhX29vbo3bs3tm7dqpNrt1u3bjAzM8PGjRvx6NEjvH37FitWrIC3tzeWLFmCJUuW6DQkAjJaSAgh0os8fX8g0gsv43v37h3mzp0Lf39/XL16FZcuXUKNGjXg4+ODO3fuwM/PD5s3b4afnx+8vb2RJ08eODo6KjMQq9Vq6OnpQU9PD5cvX4a7uzuGDRuGqVOnYvTo0akO0xU/punTp+Ply5cAkgJ1cXFxMDMzQ//+/XHnzh3s3bsXANC0aVM8e/YMu3btUnLlAUkV7+fPnyMhIUHphXfjxo0UeRTluSGEEEL83PT19fHlyxfcvn0bwF91A0dHR9StWxcWFhZ49uwZAgICMGbMGDx//hy7du1CdHS0Uka7du1w/vx57Nq1C+bm5mjUqBEmTZqEe/fuoXHjxgAgve+EEOIHIEE8If4H3+oRt2PHDrx+/RrDhg1DVFQUOnTogL1796Jz584oWLCgsu+FCxdw+vRp1KxZE7dv38Yvv/wCIKkS9vbtW7Rv3x41atRApUqVcPXqVfTq1UsCeBlIdHQ0hgwZglmzZoEkSCrDXp8+fYo///wTgYGBuHHjBlxcXNCuXTt06dIFDx8+RGJiImJjY3Hy5Em0bt0aBgYGAJKGuwDfvveEEEII8XPav38/8ubNCy8vL5w+fVoJ4sXExIAkfH19UahQIWzYsAFqtRr9+/fHtm3bcO7cOaWM27dvw8DAALt370ZYWBhcXV1Rr149AH/VPaT3nRBCpD95EgvxP9AG1K5fv47Xr18ry3PmzAkrKyuMGzcORYsWxZs3b3D69GlMnz4dpqamAICHDx9i6dKlaNeuHQoVKoTr16/D1dVVKaNu3boIDw/HuXPnMHv2bCX/iMg4cubMiWXLlmHRokV4+vQpVCoVTp8+DRcXF8ycORMDBw5EVFQUtm7dCgCYOXMmihYtiqpVq6J+/fooXrw4YmNj0bp16xRlSzBXCCGEEMmZmJjAysoKcXFxGDRoEBYsWAC1Wo0iRYrg5cuXuHXrFgYMGICYmBgsWLAA/v7+sLGxwYQJE7B48WIsX74cz549w5YtW7Bq1SplGK6W1D2EEOLHoaIkVBLiH9FoNEoL5JEjR+Dj4wNDQ0Po6elh2bJlqF69Onbt2oXevXuDJJYuXYr69esr+0+ZMgV2dnZo1aoVLl++jDx58ii989RqNUgiS5YseP36NfLkyZMu5yj+PSRRtmxZWFlZwdjYGMePH4efnx8GDRqEXLlyoV+/frh06RKGDx+OunXr4u3btwgODkZISAiKFCmCtm3bpvcpCCGEECIDIIlevXohMjISlpaWePnyJYyMjLBhwwZMmzYN4eHhmD9/PgYOHIhz585hwYIFyJEjB8aPH4+zZ8+CJCZOnIhWrVop5Um6DiGE+DFJEE+I/8KjR4/w5s0bzJo1CxUrVoS7uzumTZuGkJAQBAYGonjx4mjWrBliY2OxZMkSFClSBACwd+9eTJw4Ec2bN0f//v2VipE2t4gMT8icTp8+japVq6JChQpYu3YtHBwcoFaroa+vj8ePH6Njx45wcnLCuHHjUg3carcVQgghhPg7oaGh6NGjB1xcXNCvXz/UqVMHdevWxY0bN1C8eHHMmzcP169fx4ABA1CwYEHMmzcPpqamCA0NVeqrQgghfnwSORDiG1JL3tuhQwe4u7tDrVajZ8+ecHd3x/bt22FoaIh58+bB0NAQQ4YMgZGREcqWLYuWLVuiVq1aaN26NZo1a4YBAwbotGxqJ7EQGcPTp09RpEgRXLx48R9tX6VKFbRp0wbx8fHInz8/gKS8hxqNBoUKFYKXlxeOHz+OO3fu6OynbVuRAJ4QQggh/okiRYqgRo0aOH36NN6+fYs9e/bAxMQEx44dw7Zt25CQkAAXFxd4enoiJCQEV65cUfYDUs5wK4QQ4sckPfGE+IpGo4FKpUp1GMHjx49RpEgRtGnTBgEBAUoAbtOmTfDz88OaNWvQsGFDxMXFYfHixfjw4QNiY2MxaNAgmJubK+VL4C7jKlWqFAoVKoRt27b9oxwxjx49QsmSJTFt2jT06tULwF/3wJcvXxAaGgpnZ+fvfdhCCCGEyOTev3+Pli1bwsrKCitWrECWLFkwfvx4uLu7o06dOgCSJt+KioqCg4NDOh+tEEKI/4UE8YT4hkOHDmHDhg3Inz8/mjZtihIlSiBbtmzw8/PDvn37cPjwYRQrVkzZvkaNGjAxMcGcOXNQuHDhFOWp1Wro6elJjpEMKiEhAQYGBggODoaHhwe2b9+OJk2a/KN9R40ahZUrVyI4OBgFChRIdRvJPyOEEEKI/6stW7Zg5syZ6N69O3x8fL7ZeCz1DiGEyJikO5AQX4mLi0O3bt3g7e2NrFmz4uDBg+jYsSNGjBgBAJg/fz7evXuHgIAAfP78WdlvxowZ2L9/P4KDg/F1bFyj0UBfX18qSxmYgYEBAMDa2hrNmzfH1KlT8ebNm3+07+DBg/H27VtMnjz5m9vIvSGEEEKI/6umTZuicOHC2L59OyIiIqCnp5dqihipdwghRMYkQTzxU0utUnP9+nWcPn0aBw4cwJIlSxASEgJfX1/s3LkTO3bsQJYsWTBhwgQsXLgQf/75J4Ck1swyZcpg7969aNeuXYqKkQyfzfgOHDiAggULonv37rh37x4uXLiAjRs3/qN9s2XLhn379qFv377f9yCFEEII8VMzMDBAjx49EBYWhgsXLgCQeqgQQmQmMpxW/FQOHDiAevXqQa1WQ6VS6VRqtMMKtm/fDj8/P1y7dk2ZjCA8PBwjRozA06dPceLECQBAiRIlYGtri/Xr1yv57r4uS2QOUVFRqF69Ory8vDB69GiEhIRg1apVOHz4MEJCQmBnZ/e3+ycfyiI5EYUQQgjxPZHE48ePYW9vn96HIoQQ4l8mX5Lip3Hv3j00aNAACxYsgL6+PvT09HDu3DkMHz4chw4dwsePHwEAb968gZWVFV6+fKnsa2Njg7JlyyI+Ph5Pnz4FAMyePRtv375NNVgnAbyMKTExMdXlISEhCAsLQ48ePZA9e3bUrFkTs2bNgqmpKaZNm/bN8rQzvenp6en8WwghhBDie1GpVEoAT/prCCFE5iJfkyLT+nqorJ2dHYYMGYIJEybg06dPGD9+POrWrYsjR47gt99+Q4cOHQAAzZs3x4sXL3Dw4EElsAck5cp78uQJcufODQDw8vLChQsXkCtXrrQ7KfFdaWebDQ4ORmhoqLJc2yNTG+RLSEhA3rx5MWDAAKxcuRIhISE65ajVapCEvr4+AGDWrFlo3LgxHjx4kBanIYQQQggBQBqWhRAis5Egnsh0tC2O2h5PoaGh0Gg0MDIyQq9evZAlSxb069cPsbGxuHDhAs6cOYPly5cjMDAQy5cvR65cudC/f38sXboUf/zxByIjI/H06VMcO3YMLVq0QNasWXV+37d6b4mMIXmw9/Lly3BwcECLFi1QqVIl/PHHH/jy5QuMjY1RpkwZLF68GMBfk1xky5YN8fHxGDt2rDLJiVqtViYxOXz4MJycnLBgwQL89ttvqc5aLIQQQgghhBBC/BMSxBOZikajUVoc165dCxcXF/z666/w8PDAqlWrYG1tjVGjRmHZsmUICQlBwYIFYWhoiAYNGqBfv34YMWIEPn36hN9//x1t27bFnDlzUKdOHZQuXRrx8fEYNGiQ0rtKS9t7S2RMenp6ePnyJY4cOYLly5ejc+fOCAoKgo+PDyZNmoStW7fC0dER1atXx7Fjx7Bv3z5l38jISHTp0gW3b99GVFQUAEBfXx+PHz9GgwYN0Lp1a7Rs2RI3btyAt7d3ep2iEEIIIYQQQohMQCa2EJnO7du30aZNG0RGRmLIkCEwNzfH0qVL8eeff+LSpUuwt7dHvXr18OXLF5w5c0aZhOLFixdwc3NDmzZtMH36dKjVaoSFheHmzZuwsLCAh4cHAJm0IqNLbWKJnj17YsmSJShXrhwCAwOVIdNNmjRBfHw8Fi5ciKxZs2LUqFFYuXIlmjdvjujoaFy9ehXHjx9HiRIllLLWrFkDf39/NGjQAJMmTYKtrW2anp8QQgghhBBCiMxJgngiU3n+/DmaNWuG8PBw3LlzBzly5AAAXLx4ES1atFAmtjh8+DDq1auHwMBA1KtXTwnMLV++HN27d8f169d1AjNa2qGSIuPRDptNbWKJ6OhoVK5cGSYmJti/f78SxDt//jx+++03dOzYEYMGDYKBgQEWLFiAO3fuICYmBlOmTIG1tTWApDx5BgYGOHPmDLJmzQo3N7e0OzkhhBBCCCGEEJmeDKcVmYq1tTV+/fVXODg46Ax7dHJygkajUYJ6Hh4eaNOmDfr16wfgr6S/rVq1QsmSJXHu3LlUy5cAXsZEEnp6esqMxH369MGcOXOUySty5syJbt26ITIyEqdOnVL2q1ixIurWrYuDBw/i6NGjAIBevXphwYIFWLt2LaytrZVZZ7V58ipXriwBPCGEEEIIIYQQ/zoJ4olMQ9vTqk2bNsibNy/Wr1+PhIQEAMDmzZsRHR2NChUqAABMTU0xePBgvH79GnPmzFH2z5YtG86fP4/OnTunyzmI70OlUiEmJgYdO3ZE/fr18fz5cwQEBKB58+bYtWsXgKTgnJWVFbZs2YLHjx8r+w4ZMgShoaE4c+YM4uPjlfKApHtGArtCCCGEEEIIIdKCBPFEhpTaKHDtMMkCBQqgcePGePfuHYYOHYq6detiwIABmDdvHho1aqRsX6JECfTo0QP9+/fHx48flf2NjY1BMtXfITImjUaDdevW4eXLl7h48SK2bduGa9eu4cOHD1i5ciWuXr0KABg5ciROnz6NEydOKEHh/PnzY+vWrRg/fjwMDQ11yk1taK4QQgghhBBCCPE9yBeoyBBIYsGCBVi5cuV/3A4AmjVrBicnJyxevBhZs2ZFWFgYOnToAOCvHnv6+vro3r07li1bhmzZsumUo1KpZPKKTERPTw/ly5fHpEmTUKRIEWzYsAFFihRBQkIC7t69iz179kCj0aBBgwbw8PDAokWLcOXKFWX/ypUrQ09PT7l3hBBCCCGEEEKItCZBPJEhREREYPfu3diyZQtevnwJlUqVakBFu9zExAStW7eGq6srHBwclFx42txoWtbW1vD19U2z8xDpx8XFBWXLlsWcOXMwfvx4dO/eHU+fPoWzszO2bduGEydOAABGjBiBXLlyIU+ePCnKkJ53QgghhBBCCCHSi3yRih/W48eP0bp1azx9+hTW1tbw8fHBx48fsWLFCgDfDqhol1evXh2enp64cOECjhw5AgDSkyoT+qfDng0NDfH582fs2LEDbdq0wYABAwAAFhYWSo68N2/ewNnZGUeOHIGtre33PGwhhBBCCCGEEOK/IkE88cO6d+8erl+/jhkzZgAAmjZtCmdnZxw+fFjJYfatoFzySS6MjY0xa9YsJCQkyCQEmYh2Vtj/Ztjzw4cP8ebNG1hYWAAAIiMjERcXh0aNGqF8+fIwMzNTgoLa8oUQQgghhBBCiB+BBPHED0cbRKlevTratWuHw4cP49y5czA2NkazZs2gp6f3j3vjlSxZEr/88gu8vb1hYGCQNicgvjuSSkD2wIEDGDx4MCIjI//jfiVLloSjoyNmzJiBevXqoUSJEjA2NsbChQvRu3dv6OvrK0FBCfgKIYQQQgghhPiRSBBP/FBIKnntjIyMUK9ePTg4OGD69OkAgFq1aqFy5cq4fPkyAgMDAfzn3nj+/v6S9y4Di46Ohp+fH44ePQogqYecSqXCkydPUL16dfj4+OD9+/eIiIj42+HS2p51c+fOxZgxY2BpaYmlS5fijz/+gKmpqcxILIQQQgghhBDih6aifLWKHwBJaDSaVHs/LVmyBHPmzMGIESPQtm1b3LhxA7///juyZcuGlStXwsTERAn+/V15Go1GJibIgG7evImePXsiW7Zs2LdvHwAgPj4e3bp1Q1RUFNavX69MXPK/UqvV0vNOCCGEEEIIIcQPTSIaIs2lFjdWqVTQ19dHVFQUxowZg9WrV+PUqVMAgAYNGsDNzQ0LFy7Ely9f4OzsDC8vL4SFhWHt2rUpykpMTFTKe/36Nfr06YM3b95IAC+DKlmyJDp16oSwsDCsWrUKAPDixQsEBgaia9euyJEjB27fvo379+8jKCgIsbGx3yxLrVbr3H/af0sATwghhBBCCCHEj06iGiLNaAMm2h5ziYmJOusXLlyIQoUK4eTJk9i4cSOaNWuGZcuWIV++fGjVqhU+ffqkTHLRokULODo6YufOnXj06BFUKhUSEhIAAFmyZAEAjB49Go6Ojrh+/boMk8xgtNdLOzy2Vq1aqFSpEv744w9ER0fD1tYWNjY2mDhxItzd3TF48GB4e3ujTp068Pf3R1hYWIrytL3tVCoVbt++jRcvXvxXk2IIIYQQQgghhBDpSYJ4Ik0kH+66c+dOeHt7o3PnzkrPqufPn2PNmjVYunQpTpw4gYMHD6JMmTKYMGECrly5Ak9PT9SuXRubN2/Go0ePYGlpiTp16uDZs2cIDg4GAGXiii1btsDW1hZ79uzB+vXrceLECWU2UvHj0/akBP6aoMTa2hq//PILNBoNpk2bBiDpPqpatSrq1q0LX19fbN26FWvXrsWhQ4fw7NmzFOXp6+vj2bNn8PLyQr169fDq1au0PzkhhBBCCCGEEOJ/lCW9D0D8HFQqFR49eoSOHTvi0aNH6NOnD/T09GBubg4gKSBjYmKC1q1bIyQkBL///juuX7+OCRMmoHTp0jAwMECjRo1w+fJljBkzBmvWrEGrVq3g5uYGR0dHAEBERARq1aqFDx8+YODAgfDz84OhoWF6nrb4H2h7Ui5fvhx58+aFvb09SpYsierVq+PChQvYuXMn2rRpAycnJ0ydOhXAX0HiiIgI5MmTB7a2tinKGzhwIJYuXYpGjRph4cKFKFy4cNqfnBBCCCGEEEII8T+SIJ5IEx8+fEDfvn1hY2ODzZs3I3/+/Drrs2XLhkePHsHf3x8BAQFo27Yt1q9fDysrKyQkJCA6OhoeHh6oXLky9u7di2fPnqFAgQJKAA9I6nHVqFEj9OvXD5aWlml9iuJfsnPnTvj6+iJ//vz48uUL3r9/jwULFqBVq1Zo1qwZzp8/j2nTpmH16tUAgFu3buHNmzc4fvw45s6di27dusHKykopb/ny5Rg1apTSO7NatWrpdGZCCCGEEEIIIcT/TmanFWliw4YN6NGjBwIDA+Hh4aEMl9T2oDp79ix8fHyg0Whw4sQJ2NjYAEgKzM2aNQsFChRAmzZt8OLFC5ibm8PIyCg9T0d8J9HR0ahduzYaNGiA0aNH49mzZ5g7dy7WrVuHjRs3olq1apg7dy4WLVqEefPmwcvLC+vWrcOMGTNgZGSEiRMnolatWkp5Bw4cQPfu3TFy5Ej4+PjIBBZCCCGEEEIIITIsyYkn0sTFixeRP39+VK5cWWcyAe2/CxcujDp16uDz588giY8fPyIxMRFLlizB6tWr8eXLF5BEvnz5YGRkBLVanV6nIv4H2gkqtOLj41Pd7vz583j06BG8vb1BEgUKFMD06dORL18+rFy5EgBQr149uLq6YsqUKQCAVq1aYcWKFbhw4QJq1aqlTGKh3fbWrVvo3LmzBPCEEEIIIYQQQmRoEsQTaeLJkyfImjUrIiIiUqzTaDSwtLREv379UL58eTg7O6NevXooV64cxo8fj7Fjx6JTp046wT8JyGQM2o6+2gkqDh8+DABKrsJLly7pTEKRJ08evH//HtmzZ4dKpcKnT58AAMOHD8eOHTsQHR2NokWLokaNGnjx4gXOnz+PLFmyoGzZsgAAtVqtTGKhlS1btu9/okIIIYQQQgghxHcmQTyRJmrVqoVbt27h/v37yrLkAZ7ExERs3rwZO3fuxKZNm9CmTRv07NkTL1++hLe3t8724sdHEhqNRgm8rlu3Djlz5kRAQABIYsuWLbC2tsZvv/2GUqVKYfz48QgPD0fhwoXh5uaGiRMnAgBMTEwAALlz54axsTEePXoEAGjZsiXOnj2LihUr6vxeCe4KIYQQQgghhMisJIgn0sSvv/6K/PnzY9GiRUpvvOQ9606cOIE9e/YgPDwc9erVg5+fHzp37gwgKS/e19uLH5e2N5yenh7u3r0LDw8PDBgwAOPGjcOGDRsQHByMYcOGoX///ti9ezf69euHwMBA9O/fHzlz5kTr1q2xa9cuHDhwQAncHjp0CKVLl0apUqUAADlz5kTu3LlTDNMVQgghhBBCCCEyK5mdVqQJKysrjBo1Cr6+vjAzM8O0adNgZGSExMRE7NixA/PmzUPTpk1hbW2tsx9JZMkit2lGoq+vj48fP6JLly7YvHkzAOD169fInTs3AGDXrl0wNTXFgAEDAAAjRoyAg4MDhgwZgsDAQPTu3Rv37t3Dr7/+iooVK0Kj0eDKlStYtmyZMixX6+ufhRBCCCGEEEKIzEq+gEWa8fHxwZAhQ7B7925YWVnB09MTNWvWxIABA9CrVy+MGDEiRVBGet9lPMOHD4e5uTnev3+PzZs3w8XFRRkeGx8fj/j4eBQpUgQJCQnKPp6enqhQoQLWr18PPT09LFq0CGvXrkXNmjXh4eGBZ8+eoWXLlul1SkIIIYQQQgghRLqTLk4iTU2aNAm9e/fG3r17kZiYCAMDA3Tt2lVZr9FopHdVBleiRAls2LBByWUYHh6OsWPHolu3bnB0dISpqSnu3r2Lu3fvwtnZGQBgbW0NlUoFkiAJlUql7K+VmJgovTKFEEIIIYQQQvy0VJTZAkQa0gZoviYBmsxHe61DQ0PRtWtXGBkZ4eDBg/j06RPs7e3Rtm1bDB06FHny5AFJNGrUCI6OjpgxY0aKsiS4K4QQQgghhBDiZydfxSJNpRbAk7x3mZP2Wjs4OMDPzw/BwcHYtWsXTExMMG7cOBw8eBBeXl74448/0KRJE1y6dClF7zstCeAJIYQQQgghhPjZSU88IcR39/LlSwwaNAiXL1/G7du3AQBnzpzBsmXLEBkZCTMzM8ybNw958+ZN5yMVQgghhBBCCCF+TBLEE0KkiRMnTqBjx47o27cv+vfvryz/+PEjsmXLBgBQq9XQ19dPr0MUQgghhBBCCCF+WDJGTQjxXWnbCdzc3NC6dWsMHDgQHz9+VNZrA3gajUYCeEIIIYQQQgghxDdIIjIhxHelzY2XPXt2tG7dGra2tsiWLVuKSU4k750QQgghhBBCCPFtMpxWCCGEEEIIIYQQQogfnHR9EUKkOWk7EEIIIYQQQggh/jsSxBNCpLnkw2iFEEIIIYQQQgjxn0kQTwghhBBCCCGEEEKIH5wE8YQQQgghhBBCCCGE+MFJEE8IIYQQQgghhBBCiB+cBPGEEEIIIYQQQgghhPjBSRBPCCGEEEIIIYQQQogfnATxhBBCCCGEEEIIIYT4wUkQTwghhBBCCCGEEEKIH5wE8YQQQgghRIYWFBQElUqF9+/fp/ehCCGEEEJ8NxLEE0IIIYT4ibx8+RK9e/eGvb09jIyMYGNjg4YNG+LYsWP/aP+AgACYmZl934P8L1WqVAkvXrxAzpw50/tQhBBCCCG+myzpfQBCCCGEECJthIWFwcPDA2ZmZpg2bRpcXFyQkJCAQ4cOoWfPnrh79256H+J/LSEhAYaGhrCyskrvQxFCCCGE+K6kJ54QQgghxE+iR48eUKlUCAkJgbe3N4oWLQonJyf0798fwcHBAIBZs2bB2dkZpqamsLGxQY8ePfDx40cAScNWfXx8EB0dDZVKBZVKhTFjxgAA4uPjMXjwYFhbW8PU1BTu7u4ICgrS+f3Lli2DjY0NTExM0LRpU8yaNStFr74//vgDDg4OMDQ0hKOjI9auXauzXqVSYfHixWjcuDFMTU0xYcKEVIfTnjt3Dp6enjA2NoaNjQ38/f0RGxurrF+0aBGKFCmCrFmzwtLSEt7e3v/Of2QhhBBCiO9EgnhCCCGEED+Bt2/f4uDBg+jZsydMTU1TrNcG0/T09DBv3jzcvHkTq1evxvHjxzF48GAAScNW58yZgxw5cuDFixd48eIFBg4cCADw8fHB2bNnsWnTJly/fh3NmzdH3bp1ERoaCgA4e/Ysunfvjj59+uDatWuoXbs2Jk6cqHMMO3fuRJ8+fTBgwADcvHkT3bp1g4+PD06cOKGz3ejRo9G4cWPcuHEDnTp1SnEuN27cgJeXF3799Vdcv34dmzdvxpkzZ9CrVy8AwKVLl+Dv749x48bh3r17OHjwIDw9Pf9v/4GFEEIIIb4zFUmm90EIIYQQQojvKyQkBO7u7tixYweaNm36j/fbunUr/Pz8EBUVBSApJ17fvn11er09fPgQRYoUwbNnz5A/f35lea1atVC+fHlMmjQJrVq1wsePHxEYGKisb9euHQIDA5WyPDw84OTkhKVLlyrbtGjRArGxsdi3bx+ApJ54ffv2xezZs5VtgoKCUL16dbx79w5mZmbo0KEDjI2NsWTJEmWbM2fOoGrVqoiNjcX+/fvh4+ODZ8+eIXv27P/4v4UQQgghRHqSnnhCCCGEED8BbbutSqX62+1OnDiB2rVrw9raGtmzZ0eHDh3w5s0bnaGoX7ty5QpIomjRosiWLZvyv5MnT+Lhw4cAgHv37qF8+fI6+3398507d+Dh4aGzzMPDA3fu3NFZ5ubm9rfncPnyZQQEBOgci5eXFzQaDR4/fozatWvD1tYW9vb2aN++PdavX49Pnz79bZlCCCGEEOlNJrYQQgghhPgJFClSBCqVCnfu3EGTJk1S3ebJkyeoX78+unfvjvHjx8Pc3BxnzpyBr68vEhISvlm2RqOBvr4+Ll++DH19fZ112bJlA5AURPw6gJjagJDUtvl6WWrDgb8+nm7dusHf3z/FuoIFC8LQ0BBXrlxBUFAQDh8+jFGjRmHMmDG4ePHiDzfzrhBCCCGElvTEE0IIIYT4CZibm8PLywsLFy5MtVfd+/fvcenSJSQmJmLmzJmoUKECihYtioiICJ3tDA0NoVardZa5urpCrVbj1atXKFy4sM7/tLPGFitWDCEhITr7Xbp0Sefn4sWL48yZMzrLzp07h+LFi/9X51qmTBncunUrxbEULlwYhoaGAIAsWbKgVq1amDZtGq5fv46wsDAcP378v/o9QgghhBBpSYJ4QgghhBA/iUWLFkGtVqN8+fLYvn07QkNDcefOHcybNw8VK1aEg4MDEhMTMX/+fDx69Ahr167F4sWLdcqws7PDx48fcezYMURFReHTp08oWrQo2rZtiw4dOmDHjh14/PgxLl68iKlTp2L//v0AgN69e2P//v2YNWsWQkNDsWTJEhw4cECnl92gQYMQEBCAxYsXIzQ0FLNmzcKOHTuUyTP+qSFDhuD8+fPo2bMnrl27htDQUOzZswe9e/cGAAQGBmLevHm4du0anjx5gjVr1kCj0cDR0fH/+F9YCCGEEOL7kSCeEEIIIcRPolChQrhy5QqqV6+OAQMGoGTJkqhduzaOHTuGP/74A6VLl8asWbMwdepUlCxZEuvXr8fkyZN1yqhUqRK6d++Oli1bIk+ePJg2bRoAYNWqVejQoQMGDBgAR0dHNGrUCBcuXICNjQ2ApNx2ixcvxqxZs1CqVCkcPHgQ/fr1Q9asWZWymzRpgrlz52L69OlwcnLCkiVLsGrVKlSrVu2/Ok8XFxecPHkSoaGhqFKlClxdXTFy5Ejky5cPQNJMvDt27ECNGjVQvHhxLF68GBs3boSTk9P/4b+uEEIIIcT3JbPTCiGEEEKIdNGlSxfcvXsXp0+fTu9DEUIIIYT44cnEFkIIIYQQIk3MmDEDtWvXhqmpKQ4cOIDVq1dj0aJF6X1YQgghhBAZgvTEE0IIIYQQaaJFixYICgrChw8fYG9vj969e6N79+7pfVhCCCGEEBmCBPGEEEIIIYQQQgghhPjBycQWQgghhBBCCCGEEEL84CSIJ4QQQgghhBBCCCHED06CeEIIIYQQQgghhBBC/OAkiCeEEEIIIYQQQgghxA9OgnhCCCGEEEIIIYQQQvzgJIgnhBBCCCGEEEIIIcQPToJ4QgghhBBCCCGEEEL84CSIJ4QQQgghhBBCCCHED+7/AcHoV5E0z73GAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "category_counts = Counter()\n", + "for item in sample:\n", + " category_counts[item.category]+=1\n", + "\n", + "categories = category_counts.keys()\n", + "counts = [category_counts[category] for category in categories]\n", + "\n", + "# Create bar chart\n", + "plt.figure(figsize=(15, 6))\n", + "plt.bar(categories, counts, color=\"lightgreen\")\n", + "\n", + "# Customize the chart\n", + "plt.title('How many in each category')\n", + "plt.xlabel('Categories')\n", + "plt.ylabel('Count')\n", + "\n", + "plt.xticks(rotation=30, ha='right')\n", + "\n", + "# Add value labels on top of each bar\n", + "for i, v in enumerate(counts):\n", + " plt.text(i, v, f\"{v:,}\", ha='center', va='bottom')\n", + "\n", + "# Display the chart\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "8d692349-6814-4b02-aa20-705279ee5295", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "How much does this cost to the nearest dollar?\n", + "\n", + "RED WOLF Tailgate Handle w/Backup Camera Compatible with Dodge Ram 1500 2500 3500 Tailgate Door Rear View Reverse Backup Camera with RCA Plug Parking Guideline Available Waterproof\n", + "Fitment list Tailgate door handle with rear view backup camera replacement for Dodge Ram 1500, 2002 2004 2005 2006 2007 2009 Ram **NOTE** This is an aftermarket tailgate and camera, not OEM. Parking grid lines adjustable Fit for Dodge Ram 1500 reverse camera guideline with ON/OFF switch. Without cutting wiring harness required, control Dodge Ram 2500 parking guideline by removing or inserting the small black block. Clear HD vision Tailgate Handle Ram 1500 backup camera is made of advanced & professional technology with 0.\n", + "\n", + "Price is $70.00\n", + "[449, 220, 15, 382, 7117, 374, 400, 2031, 13, 410]\n", + "[' with', ' ', '0', '.\\n\\n', 'Price', ' is', ' $', '70', '.', '00']\n" + ] + } + ], + "source": [ + "report(sample[100000])" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "6a28fa68-392a-4d8d-8c72-eeea4615d937", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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mHBERERGZtX379iE5ORn/93//B0dHx1z3ff7551i9ejUWLVoEAJg2bRqKFi0KNzc3TJgwAcWKFcu1G6qVlRW++eYb/Pzzz7CyssKwYcNQr169PF0vztnZGUWLFsWqVatQsmRJREdHY+zYse/8esaNG4eqVatiyJAhGDRoEKytrXHy5El06dIFxYoVw3fffYdRo0ZBo9Hgww8/RGpqKi5cuAB7e3v07dsXkyZNQq1atVClShXk5ORg37598PX1fecOIiIiejWeGUdEREREZm316tVo2bLlS4M44PmGCsHBwbh69SoA4KeffsKIESNQq1YtxMTEYM+ePbC2ttY93tbWFj/88AN69OiB+vXrQy6XY8uWLXnqsLCwwJYtWxAUFAQ/Pz+MGjUK8+bNe+fX4+3tjSNHjiAkJAR16tRB/fr1sXv3blhaPv85/PTp0zFp0iTMnj0bvr6+aN26Nfbu3au7Pp21tTXGjRsHf39/NG7cGFKpNM+vQZ88PT2xePHiAjte06ZNMXLkyAI7HhER0etItP/dr52IiIiIiHI5deoUmjVrhuTkZDg5Ob3yMevWrcPIkSORkpKi1zZD0q9fP6xfvx5ff/01VqxYkeu+IUOGYPny5ejbty/WrVuX7+eKj4+HnZ0dbG1t830s4Pkwrnr16nka8L3LY/NCIpFg586duc6yNEZ5+f+EiIh4ZhwRERERERUgDw8PbNmyBVlZWbrbsrOzsXnzZpQpU6bAnqd48eIFNogzBkqlUnQCEREVEA7jiIiIKJdTp05BIpGY9dk9RPT+atasiTJlymDHjh2623bs2AEPDw/UqFFDd9urlplWr14dU6ZM0b0/ZcoUlClTBjKZDO7u7hg+fPhrPz4lJQVfffUV3NzcYGNjAz8/P+zbtw/A880xunfvjtKlS8PW1hZVq1bF5s2bC+w1e3p6YtasWRgwYACKFCmCMmXK5Nr0QqFQYNiwYShZsiRsbGzg6emJ2bNn6z4WAD777DNIJBLd+1OmTEH16tWxZs0aeHl5QSaTQavV5unzJpFIsHLlSnTo0AG2trbw9fXFxYsXce/ePTRt2hR2dnaoX78+7t+/n+s4e/fuRa1atWBjYwMvLy9MnToVKpUq13F///13fPbZZ7C1tUXFihWxZ88eAEBUVBSaNWsG4Pn1DyUSCfr16wcA2LZtG6pWrQq5XI6iRYuiZcuWyMjIyO+nnYjIaHEYR0RE9BYSieSNby++2TBXWq0Wv/32G+rXrw8HBwfY29ujSpUqGDFiBO7duyc6j6hANG3aFFqt9o1L7/r168ch9j/69++PtWvX6t5fs2YNBgwY8E7H2LZtGxYtWoSVK1fi7t272LVrF6pWrfrKx2o0GrRt2xYXLlzAxo0bERoaip9++glSqRTA8zPzatWqhX379uHmzZv46quv0Lt3bwQEBLz/i/yPBQsWoHbt2rh27RqGDBmCwYMH4/bt2wCAn3/+GXv27MFff/2FO3fuYOPGjbqhW2BgIABg7dq1iImJ0b0PAPfu3cNff/2F7du3Izg4+J16pk+fjj59+iA4OBiVKlVCjx498PXXX2PcuHG6HX+HDRume/zhw4fRq1cvDB8+HKGhoVi5ciXWrVuHmTNn5jru1KlT0bVrV1y/fh3t2rVDz549kZSUBA8PD2zfvh3A812EY2JisGTJEsTExKB79+4YMGAAwsLCcOrUKXTq1Am8WhIRmTPupkpERPQWMTExut9v3boVkyZNwp07d3S3yeVyEVkGQavVokePHti1axfGjx+PRYsWwdXVFZGRkTh69ChmzJhRINeGIiLj0rt3b4wbNw5RUVGQSCQ4f/48tmzZglOnTuX5GNHR0ShRogRatmwJKysrlClT5rW70h47dgyXL19GWFgYvL29AQBeXl66+0uVKoXvvvtO9/4333yDQ4cO4e+//0bdunXf70X+R7t27TBkyBAAwA8//IBFixbh1KlTqFSpEqKjo1GxYkV8+OGHkEgkKFu2rO7jihcvDgBwcnJCiRIlch1ToVBgw4YNuse8i/79+6Nr1666nvr16+PHH39E69atAQAjRoxA//79dY+fOXMmxo4di759+wJ4/vmbPn06xowZg8mTJ+se169fP3Tv3h0AMGvWLCxduhSXL19GmzZt4OLiAgBwdXXVDa7v378PlUqFTp066V7364aqRETmgmfGERERvUWJEiV0b46OjpBIJLlu27RpE8qXLw9ra2v4+Phgw4YNuo8dMGAAOnTokOt4KpUKJUqUwJo1awC8//KdwMBAtGrVCsWKFYOjoyOaNGmi2/HxhTctKXrhwIED8Pb2hlwuR7NmzRAVFZXnz83WrVuxZcsWbN26FT/++CPq1asHLy8vtGjRAj/99FOuM2Py2lsYS6vetNSNiApesWLF0L59e6xfvx5r165F+/btUaxYsXc6RpcuXZCVlQUvLy8MHDgQO3fuzPX/9b8FBwejdOnSukHcf6nVasycORP+/v4oWrQo7O3tceTIEURHR7/za3sdf39/3e9f/DsRFxcH4PkAKzg4GD4+Phg+fDiOHDmSp2OWLVv2vQZx/+1xc3MDkHsI5ubmhuzsbKSmpgIAgoKCMG3aNNjb2+veBg4ciJiYGGRmZr7yuHZ2dihSpIjudb5KtWrV0KJFC1StWhVdunTBb7/9huTk5Pd6TUREpoLDOCIionzYuXMnRowYgW+//RY3b97E119/jf79++PkyZMAgC+//BKHDh3KdXbdgQMHkJ6ejq5du+Zr+U5aWhr69u2Ls2fP4tKlS6hYsSLatWuHtLS0XI973ZIiAHj48CE6deqEdu3aITg4GF9++SXGjh2b59e/efNm+Pj44JNPPnnl/RKJ5J17C3pp1bssdSOigjNgwACsW7cO69evf+USVQsLi5f+rvv3JgUeHh64c+cOfv31V8jlcgwZMgSNGzd+5UYGbztDecGCBVi0aBHGjBmDEydOIDg4GK1bt4ZCoXjPV/cyKyurXO9LJBJoNBoAz6+jFxkZienTpyMrKwtdu3bF559//tZj2tnZvXTb2z5vr+p58Xfxq2570ajRaDB16lQEBwfr3m7cuIG7d+/CxsYmT6/zVaRSKY4ePYqDBw+icuXKWLp0KXx8fBAZGfnajyEiMnUcxhEREeXD/Pnz0a9fPwwZMgTe3t4YPXo0OnXqhPnz5wMAGjRo8NLZcmvXrkWXLl1gb2+PmJgY3fIdT09PVK1aFUOGDIG9vf1bn7t58+bo1asXfH194evri5UrVyIzMxOnT5/O9bgXS4oqVKiAWbNmISMjA5cvXwYALF++HF5eXli0aBF8fHzQs2fPd7oGXnh4OHx8fHLdNnLkSN1ZFaVLl37n3hdLq7y9vfHDDz8gKioKPXv2ROvWreHr64sRI0bkWur276VVXl5eaNWqFaZPn46VK1cCyL3U7cUyt4EDB+b5NRLR+2nTpg0UCgUUCoVuaeS/FS9ePNcPKlJTU18a0MjlcnzyySf4+eefcerUKVy8eBE3btx46Vj+/v549OgRwsPDX9ly9uxZfPrpp+jVqxeqVasGLy8v3L17N5+v8N04ODjgiy++wG+//YatW7di+/btuh+MWFlZQa1W5+k4efm8vY+aNWvizp07qFChwktvFhZ5+7bR2toaAF56LRKJBA0bNsTUqVNx7do1WFtbY+fOnfluJiIyVhzGERER5UNYWBgaNmyY67aGDRsiLCxM9/6XX36pW64ZFxeH/fv3684Syc/ynbi4OAwaNAje3t5wdHSEo6Mj0tPTX1p29aYlRWFhYahXr16uM9jq16//Dp+B3Ge/AcCECRMQHByMSZMmIT09PV+9BbG06l2WuhFRwZFKpQgLC0NYWJhuI4V/a968OTZs2ICzZ8/i5s2b6Nu3b67HrVu3DqtXr8bNmzcRERGBDRs2QC6X57re2gtNmjRB48aN0blzZxw9ehSRkZE4ePAgDh06BACoUKECjh49igsXLiAsLAxff/01YmNjC+/F/8eiRYuwZcsW3L59G+Hh4fj7779RokQJ3XXVPD09cfz4ccTGxr7134C3fd7e16RJk/DHH39gypQpuHXrFsLCwrB161ZMnDgxz8coW7YsJBIJ9u3bh/j4eKSnpyMgIACzZs3ClStXEB0djR07diA+Ph6+vr75biYiMlYcxhEREeXTf4dRWq021219+vRBREQELl68qNtBr1GjRgDyt3ynX79+CAoKwuLFi3HhwgUEBwejaNGiLy27etOSovzuZlexYkXdboEvFC9eHBUqVICrq2u+ewtiadW7LHUjooLl4OAABweHV943btw4NG7cGB06dEC7du3QsWNHlC9fXne/k5MTfvvtNzRs2BD+/v44fvw49u7di6JFi77yeNu3b8cHH3yA7t27o3LlyhgzZozuDK0ff/wRNWvWROvWrdG0aVOUKFECHTt2LPDX+zr29vaYM2cOateujQ8++ABRUVE4cOCA7oyzBQsW4OjRo/Dw8ECNGjXeeKy3fd7eV+vWrbFv3z4cPXoUH3zwAerVq4eFCxe+cvj5OqVKlcLUqVMxduxYuLm5YdiwYXBwcMCZM2fQrl07eHt7Y+LEiViwYAHatm2b72YiIqOlJSIiojxbu3at1tHRUfd+gwYNtAMHDsz1mC5dumjbt2+f67auXbtqBw4cqPXz89POmjXrtcdXqVTaUqVKaRcsWPDWFnt7e+0ff/yhez86OloLQLto0SLdbQC0O3fuzPVxjo6O2rVr12q1Wq123LhxWl9f31z3jx07VgtAm5yc/NaGTZs2aQFod+3a9dJ9//1cvU9vZGSkFoD22rVruttOnjyZq69BgwbaAQMGvLX1hdu3b2sBaIOCgvL8MUREREREBcVS2BSQiIjIBHz//ffo2rUratasiRYtWmDv3r3YsWMHjh07lutxX375JTp06AC1Wo2+ffvqbg8ICMDx48fx0UcfwdXVFQEBAXlevlOhQgVs2LABtWvXRmpqKr7//vu3XsT8vwYNGoQFCxZg9OjR+PrrrxEUFIR169bl+eO7deuGHTt2oFu3bhg3bhxat24NNzc3PHjwAFu3bs21dKogel9l0qRJ6NChAzw8PNClSxdYWFjg+vXruHHjBmbMmIF169ZBrVajbt26sLW1feNSNyIiIiKiwsZlqkRERPnQsWNHLFmyBPPmzUOVKlWwcuVKrF27Fk2bNs31uJYtW6JkyZJo3bo13N3ddbfnZ/nOmjVrkJycjBo1aqB3794YPnz4S0tD36ZMmTLYvn079u7di2rVqmHFihWYNWtWnj9eIpFg69atWLx4MQ4cOIAWLVrAx8cHAwYMgIeHB86dO1egva/ytqVV77rUjYjM29mzZ3Ndg/K/b0RERPkl0WrzebEYIiIieqvMzEy4u7tjzZo16NSpk+gcIiJ6jaysLDx+/Pi191eoUEGPNUREZIo4jCMiIipEGo0GsbGxWLBgAbZt24b79+/D0pJXiSAiIiIiMldcpkpERFSIoqOjUapUKfz1119Ys2bNOw3i3rRM6uzZs4VY/T9t27Z9bcO7LGclIiIiIqLneGYcERGRgbp3795r7ytVqlSBbH7wNo8fP0ZWVtYr73NxcYGLi0uhNxARERERmRIO44iIiIiIiIiIiPSEy1SJiIiIiIiIiIj0hMM4IiIiIiIiIiIiPeEwjoiIiIiIiIiISE84jCMiIiIiIiIiItITDuOIiIiIiIiIiIj0hMM4IiIiIiIiIiIiPeEwjoiIiIiIiIiISE84jCMiIiIiIiIiItITDuOIiIiIiIiIiIj0hMM4IiIiIiIiIiIiPeEwjoiIiIiIiIiISE84jCMiIiIiIiIiItITDuOIiIiIiIiIiIj0hMM4IiIiIiIiIiIiPeEwjoiIiIiIiIiISE84jCMiIiIiIiIiItITDuOIiIiIiIiIiIj0hMM4IiIiIiIiIiIiPeEwjoiIiIiIiIiISE8sRQcQERERkenTarVIz1EhS6FGtlIDhfrFrxrkKDXIUamhUGmQ88/b898/v02l0eqOodECWi2ghRZ+tqmwVKRDIpHo3gDofm9hYQGpVApLS8vXvllbW8PKykr3q6UlvzwmIiKiwsWvNoiIiIgoT7RaLZIzlUhIz0FCWg6SMhVIzVIhNVuJtGwl0rJVSMtWITXr+e9Ts//3a0aOCv/M1ArMKK94JD+JKtBjWlhY6IZzMpkMNjY2kMvlul///fvy8lKwlssgtbOChZ0VLGz4pTURERG9Hb9iICIiIjJzzzKVePIsC/FpOc8Hbek5SEhXICEtB/HpOUhMVyAhPQdJGQrdWWqmSqPRICcnBzk5OUhLS3vjY/ugOayzJf+7QSqBha0VpHaWsLC3hrSINaSOMkgdrSF1+OdXRxks7K10Z/ERERGR+eEwjoiIiMiEaTRaPE3LxuPkLDxO+ectOQtP/vn9k5RspOeoRGcaHYlEAqvs/9yo1kKTpoAmTQEg8/UfLJVA6vBiUCf71++f/2rpZAOpg3Vh5hMREZFAHMYRERERGblspRpRiRmIiM9AZMLzXx8lZ+JxShaepmZDqTbts9lEsLGxgSTrPc9uU2uhTs6BOjnntQ+RWFvAsqgclkVtYFlM/s/v5bAsJuegjoiIyMhxGEdERERkBDQaLR6nZCEiIQOR8enPf/1n8PbkWRa0nLfplVxmU6jH1yo0UMZkQBmT8dJ9Emvpf4Z0//y+mBzSIhzUERERGToO44iIiIgMzMOkTNyOTcPtmFTcfpqGu0/T8CAxEzkqjeg0+ofcqnCHcW+iVahfP6iTW8KqhC2sStjBqqTd819L2MHCWiqglIiIiF6FwzgiIiIiQTIVKtyOTUNYTCpux6ThdmwqbsemIS2b13AzdDZWMtEJr6TNUkERmQpFZOr/bpQAUhcb3WDuxaDO0sUGEgtuJEFERKRvHMYRERER6UFieg5CHqXg+qNnz4dvsWmITsrk8lIjZWNhmMO4V9IC6sRsqBOzkX0rUXezxMoClm7Pz6KzLmkHq9JFYO1uD4mVhcBYIiIi08dhHBEREVEBy1aqcePxM4Q8TMG1hykIeZiCR8lZorOoANlYWIlOyDetUgPlo3QoH6X/b+9XqQRWbraw9igC69JFYFW6CKzcbHkGHRERUQHiMI6IiIgoHzQaLcLj0hDyMAXBD58h+GEK7j5Ng0rDU95MmY3WRDdKUGuhfJIB5ZMMZATEAni+s6tVKXtYl3GArEwRWJdx4EYRRERE+cBhHBEREdE7yMhR4Wp0MgIjkxAYlYzrj1KQoVCLziI9k2nN58torUKjuw5d+j+3SZ1ksC7rAOsyRSAr6wArd3uePUdERJRH5vNVBBEREdF7SMpQ4HJkIi5HJiMwKgmhMalQ86w3sydTmfeX0eqUHGSlxCMrJB4AILGxhKycA2RejpB5OcGqpB2Hc0RERK9h3l9FEBEREf1HQnoOAiKSEBCZiEsRibgbl85NFugl1kqp6ASDos1WITssCdlhSQA4nCMiInoTDuOIiIjIrGUqVLh4PxFn7ybg/L0E3I1Lf/sHkdmTKbjj6JtwOEdERPR6HMYRERGRWdFqtbj1JBWnw+Nx9m48rj5IgUKtEZ1FRsY6m8O4d/HScE5uCVk5R9j4OMPGxwWWTjLBhURERPrDYRwRERGZvLjUbJy5m4Az4fE4fy8BiRkK0Ulk5CyzeFZXfmizVMgOTUR2aCIAwNLNFjY+LrDxcYbM0wESKYedRERkujiMIyIiIpOjUmsQEJmEU3ficPZuAm7HpolOIhNiaWkJy2wO4wqS6mkm0p9mIv3MI0hkUthUcHo+nKvkDKkDz5ojIiLTwmEcERERmYTUbCVO3YnHsdCnOHUnDqnZKtFJZKLkNnKAlxYsNNocNbJuJSLr1vOz5qxK2MGm0vPlrNZlHCCRchBKRETGjcM4IiIiMlqPU7JwLPQpjoY+RUBkIpRqbntKhU8usxGdYFaUsRlQxmYg7dQjSGwsYePtBHmVorCp5AILGb+dISIi48OLMRARAGDKlCmoXr267v1+/fqhY8eOBXLsU6dOQSKRICUlpUCOZ0r4uXk7T09PLF68WHQGGZCbj59h0dFwtFtyFg1/OoHJe27h3L0EDuJIb+RWHMaJos1WIet6ApI238GT6QFIWH8LGUFPocnimbBERGQ8+KMkIhMRGxuLmTNnYv/+/Xj8+DFcXV1RvXp1jBw5Ei1atCjU5+7Xrx/Wr18P4Pl1dDw8PNCpUydMnToVdnZ2hfrc5srHxweRkZGIjIxEqVKlROcUqsDAQP45MnNarRaBUcnYf/0JjoY+xZNn2aKTyMzZSK1FJxAAqDS6HVqTpRLIyjtB7lcU8spFIbXnfyMiIjJcHMYRmYCoqCg0bNgQTk5OmDt3Lvz9/aFUKnH48GEMHToUt2/fLvSGNm3aYO3atVAqlTh79iy+/PJLZGRkYPny5YX+3Obm3LlzyM7ORpcuXbBu3TpMmDBBdFKhUCgUsLa2RvHixUWnkCBXo5OxLyQGB27EIDaVAzgyHDYW3FDA4Ki1yAlPRk54MlJ23YPM0xHyqsUgr1KUG0AQEZHB4TJVIhMwZMgQSCQSXL58GZ9//jm8vb1RpUoVjB49GpcuXQIAPHv2DF999RVcXV3h4OCA5s2bIyQkpMAaZDIZSpQoAQ8PD/To0QM9e/bErl27cj0mKCgItWvXhq2tLRo0aIA7d+7kun/58uUoX748rK2t4ePjgw0bNuS6XyKR4Pfff8dnn30GW1tbVKxYEXv27Mn1mNDQULRr1w729vZwc3ND7969kZCQoLt/27ZtqFq1KuRyOYoWLYqWLVsiIyPjra8vMDAQrVq1QrFixeDo6IgmTZrg6tWr79x34MABeHt7Qy6Xo1mzZoiKinrrc//X6tWr0aNHD/Tu3Rtr1qyBVpt7ad6jR4/QrVs3uLi4wM7ODrVr10ZAQIDu/j179qB27dqwsbFBsWLF0KlTJ919CoUCY8aMQalSpWBnZ4e6devi1KlTuvsfPHiAjz/+GM7OzrCzs0OVKlVw4MABAEBycjJ69uyJ4sWLQy6Xo2LFili7dq3uY2/cuIHmzZvrPvdfffUV0tP/dwX0F0ujZ8+eDXd3d3h7ewN4eZnq2/4sh4SEoFmzZihSpAgcHBxQq1YtXLly5Z0/zyTGjUfPMPtAGBr+dAKdll3AmvORHMSRwbGBlegEehMNkBPxDCm77yNm9mXELQ9B2tlHUCXz7xIiIjIMHMYRGbmkpCQcOnQIQ4cOfeVSPicnJ2i1WrRv3x6xsbE4cOAAgoKCULNmTbRo0QJJSUmF0iWXy6FUKnPdNmHCBCxYsABXrlyBpaUlBgwYoLtv586dGDFiBL799lvcvHkTX3/9Nfr374+TJ0/mOsbUqVPRtWtXXL9+He3atUPPnj11ryEmJgZNmjRB9erVceXKFRw6dAhPnz5F165ddfd3794dAwYMQFhYGE6dOoVOnTq9NMx6lbS0NPTt2xdnz57FpUuXULFiRbRr1w5paWl57nv48CE6deqEdu3aITg4GF9++SXGjh37Tp/XtLQ0/P333+jVqxdatWqFjIyMXMOy9PR0NGnSBE+ePMGePXsQEhKCMWPGQKPRAAD279+PTp06oX379rh27RqOHz+O2rVr6z6+f//+OH/+PLZs2YLr16+jS5cuaNOmDe7evQsAGDp0KHJycnDmzBncuHEDc+bMgb29PQDgxx9/RGhoKA4ePIiwsDAsX74cxYoVAwBkZmaiTZs2cHZ2RmBgIP7++28cO3YMw4YNy/X6jh8/jrCwMBw9ehT79u176fXn5c9yz549Ubp0aQQGBiIoKAhjx46FlRW/cTZkYTGpmHf4NprOO4mPfzmHlWci8DglS3QW0WvJtPw7xWhoAcWDVDzbH4nYOYGIWx6C9ItPoM5Qvv1jiYiICgmXqRIZuXv37kGr1aJSpUqvfczJkydx48YNxMXFQSZ7vlRj/vz52LVrF7Zt24avvvqqQJsuX76MTZs2vXStupkzZ6JJkyYAgLFjx6J9+/bIzs6GjY0N5s+fj379+mHIkCEAoDurb/78+WjWrJnuGP369UP37t0BALNmzcLSpUtx+fJltGnTBsuXL0fNmjUxa9Ys3ePXrFkDDw8PhIeHIz09HSqVCp06dULZsmUBAFWrVs3Ta2revHmu91euXAlnZ2ecPn0aHTp0yHOfl5cXFi1aBIlEAh8fH91AK6+2bNmCihUrokqVKgCAbt26YfXq1brP0aZNmxAfH4/AwEC4uLgAACpUqKD7+JkzZ6Jbt26YOnWq7rZq1aoBAO7fv4/Nmzfj0aNHcHd3BwB89913OHToENauXYtZs2YhOjoanTt31n3evLy8dMeJjo5GjRo1dMM9T09P3X1//vknsrKy8Mcff+iGxr/88gs+/vhjzJkzB25ubgAAOzs7/P7777C2fvW1fvLyZzk6Ohrff/+97v+JihUr5vnzS/rzIDEDO689xt6QJ7gf//azU4kMiUzDL6GNleJBKhQPUpGyLwI2FZ1hW6M45JWLQmIlFZ1GRERmhF9JEBm5F2d1SSSS1z4mKCgI6enpKFq0aK7bs7KycP/+/QLp2LdvH+zt7aFSqaBUKvHpp59i6dKluR7j7++v+33JkiUBAHFxcShTpgzCwsJeGgo2bNgQS5Ysee0x7OzsUKRIEcTFxQF4/jpPnjypO1Pr3+7fv4+PPvoILVq0QNWqVdG6dWt89NFH+Pzzz+Hs7PzW1xcXF4dJkybhxIkTePr0KdRqNTIzMxEdHZ3nvrCwMNSrVy/Xf6v69eu/9bn/bfXq1ejVq5fu/V69eqFx48ZISUmBk5MTgoODUaNGDd0g7r+Cg4MxcODAV9539epVaLVa3fLQF3JycnR/doYPH47BgwfjyJEjaNmyJTp37qx7zYMHD0bnzp1x9epVfPTRR+jYsSMaNGige+3VqlXLdfZmw4YNodFocOfOHd0wrmrVqq8dxAF5+7M8evRofPnll9iwYQNatmyJLl26oHz58q89JulPeo4K+68/wbagRwiMShadQ/TeZCp+CW301Fpk305C9u0kSGRSaGvJoS4nQZkq/pBYcPEQEREVLn4lQWTkKlasCIlEgrCwMHTs2PGVj9FoNChZsmSu5YwvODk5FUhHs2bNsHz5clhZWcHd3f2VywL/fduLgdSL5ZP/vu0FrVb70m3/Pa5EItEdQ6PR6M60+q+SJUtCKpXi6NGjuHDhAo4cOYKlS5diwoQJCAgIQLly5d74+vr164f4+HgsXrwYZcuWhUwmQ/369aFQKPLcl5flsG8SGhqKgIAABAYG4ocfftDdrlarsXnzZgwePBhyufyNx3jT/RqNBlKpFEFBQZBKc58h8GLA+eWXX6J169bYv38/jhw5gtmzZ2PBggX45ptv0LZtWzx48AD79+/HsWPH0KJFCwwdOhTz589/5X/LF/59+9t2Tc3Ln+UpU6agR48e2L9/Pw4ePIjJkydjy5Yt+Oyzz954bCocGo0W5+8nYHvQIxy+9RRZSrXoJKJ8s1ZyWGNKtDlqhF07jet/HkORosXh26gpqjRpARf30qLTiIjIRPErCSIj5+LigtatW+PXX3995UYEKSkpqFmzJmJjY2FpaYkKFSrkentxTa/8srOzQ4UKFVC2bNn3uj6Xr68vzp07l+u2CxcuwNfXN8/HqFmzJm7dugVPT8+XXueLIY9EIkHDhg0xdepUXLt2DdbW1ti5c+dbj3327FkMHz4c7dq1Q5UqVSCTyXJtDJEXlStX1m2o8cJ/33+T1atXo3HjxggJCUFwcLDubcyYMVi9ejWA52fmBQcHv/ZagP7+/jh+/Pgr76tRowbUajXi4uJe+vyVKFFC9zgPDw8MGjQIO3bswLfffovffvtNd1/x4sXRr18/bNy4EYsXL8aqVat0rz04ODjXn9Hz58/DwsLipTPx3iSvf5a9vb0xatQoHDlyBJ06dcq1kQTpR0R8OuYdvo0P55xA79WXsSv4CQdxZDKsc/gltCmR2Fvi5u3n16hNS4zH5V1/Y+2oQfhzwmgEH96PrPS0txyBiIjo3fArCSITsGzZMqjVatSpUwfbt2/H3bt3ERYWhp9//hn169dHy5YtUb9+fXTs2BGHDx9GVFQULly4gIkTJxrMLpPff/891q1bhxUrVuDu3btYuHAhduzYge+++y7Pxxg6dCiSkpLQvXt3XL58GREREThy5AgGDBgAtVqNgIAAzJo1C1euXEF0dDR27NiB+Pj4PA38KlSogA0bNiAsLAwBAQHo2bPnW89C+69Bgwbh/v37GD16NO7cuYNNmzZh3bp1efpYpVKJDRs2oHv37vDz88v19uWXXyIoKAghISHo3r07SpQogY4dO+L8+fOIiIjA9u3bcfHiRQDA5MmTsXnzZkyePBlhYWG4ceMG5s6dC+D5AKtnz57o06cPduzYgcjISAQGBmLOnDm6HVNHjhyJw4cPIzIyElevXsWJEyd0n79JkyZh9+7duHfvHm7duoV9+/bp7uvZsydsbGzQt29f3Lx5EydPnsQ333yD3r1765ao5sXb/ixnZWVh2LBhOHXqFB48eIDz588jMDDwnYa69P5Ss5X4M+ABOi07j+YLTuPXk/fx5Bl3LyTTY531+ktDkPFJd0iDRvPyDwti74Xj+JrlWDmoD/b/PA+PQm8KqCMiIlPEYRyRCShXrhyuXr2KZs2a4dtvv4Wfnx9atWqF48ePY/ny5ZBIJDhw4AAaN26MAQMGwNvbG926dUNUVNQ7DUIKU8eOHbFkyRLMmzcPVapUwcqVK7F27Vo0bdo0z8dwd3fH+fPnoVar0bp1a/j5+WHEiBFwdHSEhYUFHBwccObMGbRr1w7e3t6YOHEiFixYgLZt27712GvWrEFycjJq1KiB3r17Y/jw4XB1dX2n11imTBls374de/fuRbVq1bBixYpcm028yZ49e5CYmPjKpZYVK1ZE1apVsXr1alhbW+PIkSNwdXVFu3btULVqVfz000+6ZadNmzbF33//jT179qB69epo3rw5AgICdMdau3Yt+vTpg2+//RY+Pj745JNPEBAQAA8PDwDPl8QOHToUvr6+aNOmDXx8fLBs2TIAgLW1NcaNGwd/f380btwYUqkUW7ZsAQDY2tri8OHDSEpKwgcffIDPP/8cLVq0wC+//PJOn8O3/VmWSqVITExEnz594O3tja5du6Jt27a5Nqyggnc1Ohmj/wpGnZnHMGHnTVyNThGdRFRoJBIJrLI5jDMltx6ffeP9aqUSt8+fxtapY7F29GAE7d+N7PR0PdUREZEpkmjzexEjIiIiMjsZOSrsCn6MPy9FIzQmVXQOmalRXvFIfhKl1+eU28jRM6WBXp+TCo/ExQpbgma888dZWlnDu15D+Ldsi1KVKhdCGRERmTJu4EBERER5djs2FRsvPcCua0+QnqMSnUOkd3KZjegEKkAJ1jHv9XEqpQKhZ08i9OxJFPMoi6ot2qBy42awsXt5R3ciIqL/4plxRPRG0dHRqFz59T/xDQ0NRZkyZfRYVDhe7Bb6KgcPHkSjRo0KvaFt27Y4e/bVS2XGjx+P8ePHF3oD0atkK9U4cCMGGy894BJUMigizoxzL14S7R7yTCiTIAGOPduExMSHBXI4S5kMPvUawb9lG7h7VyqQYxIRkWnimXFE9Ebu7u4IDg5+4/2m4E2vsVSpUnpp+P3335GVlfXK+1xcXPTSQPRvUQkZ+DPgAbYFPUJyplJ0DpFBkFvJRCdQAdG6SZEYUTCDOABQ5eTg1uljuHX6GIqXLYdqrdqhcpPmsLLmnxkiIsqNZ8YRERFRLhfuJeD3c5E4eScO/CqBDJmIM+OqlPZG/Xseen1OKhyPXCJxPuivQn0OmyIOqNayDaq37gB7Z/5gjYiInuOZcURERASFSoM9IU+w+lwkwrghA9Fr2UisRSdQQbCyQFDooUJ/muy0VATs/AtX9u6AT/1GqNm+I9zKlS/05yUiIsPGYRwREZEZS8pQYOOlB9hw6QHi03JE5xAZPBmsRCdQAVAWVyE7XH8/eFCrVLoNH0pX9kOt9p+hfM0PILGw0FsDEREZDg7jiIiIzNC9uDSsPheJndceI1upEZ1DZDRkGn75bArup4QIe+5HoTfxKPQmnEqURM22n8CvaStY2XCXXiIic8KvJoiIiMzImfB4rD4XiTN343k9OKL3IFPzzDhjJ7GzxI3Q46IzkBIbgxNrV+LCX3+iaovWqNHmYxQpWkx0FhER6QGHcURERCZOo9Fi340YLDt5D7dj00TnEBk1mYrLCo1dulMaNBq16Ayd7Ix0BO7ZjqD9u+Bd70PU+fRzFC9bTnQWEREVIg7jiIiITJRSrcGOq4+w4nQEIhMyROcQmQTrHKnoBMqn0EfnRSe8kkatxu3zp3H7whl41fwA9Tt1Q4kK3qKziIioEHAYR0REZGKylWpsvhyN385E4MmzbNE5RCbFOkciOoHyQeJihYigINEZb6bVIiLoMiKCLqOsfw3U6/QFSvv6ia4iIqICxGEcERGRiUjLVuKPiw+w5lwkEjMUonOITJJ1FpepGrME61jRCe/kwfVreHD9GkpVqoJ6nb6AZ7WaopOIiKgAcBhHRERk5JIyFFhzLhJ/XIxCarZKdA6RybK0tIQ0m2fGGS0JEHz3iOiK9/L49i1snzUJJSp4o+5nX6BC7bqik4iIKB84jCMiIjJScanZWHkmApsvRyNTYTgXIycyVXIbOZAuuoLel9ZNioSIaNEZ+RJ7Lxy7501H8bLlUPezrvCu2xASC56tSURkbDiMIyIiMjKJ6TlYfuo+NgY8QLZSIzqHyGzIrW1EJ1A+PFbcF51QYOIfRGLf4jlwcS+NOh27wLdRU1hYcHMRIiJjwWEcERGRkUjOUGDlmQj8cTGKZ8IRCWBjJROdQO/LygLXwg6KrihwSU8e4dCyRQjY9Tcadu0F73oNIZFwKTURkaHjMI6IiMjQZT/DgYBbGHMiDek5vCYckShySw7jjJXSVY3M8FTRGYUm+ckj7Fv8E1zLlUejbn3gWb2W6CQiInoDXmCAiIjIUCkygbMLgcX+aBg6lYM4IsFsLKxFJ9B7ikgOFp2gF3GR97F99mRsnToWT8LDROcQEdFrcBhHRERkaFQKIGAV8HN14PhUIDsFjk8vYWAp477wOJGxk0msRCfQe5DYWeJ62HHRGXr1KPQmNv/4PXbOmYr4B5Gic4iI6D+4TJWIiMhQaNRAyBbg9E9AysuDtxEWW/EbvhcQRkQAYKPhmXHGKN0xHRqNeV5nM+JqICKvBcGnQSM07NoLTiVKik4iIiLwzDgiIiLDcO8YsOJDYPeQVw7iAMA+/hpGlYnQcxgRvSDTcLdKYxT65JzoBKG0Wg1unz+NtaMH49jvvyI9OUl0EhGR2eMwjoiISKSnocCGTsDGzkBc6Fsf/pV6CyQSrR7CiOi/rFVcVGJsJC5WiIgMEp1hEDRqFUKOHsTq4QNx5s+1yM5IF51ERGS2OIwjIiISIT0O2DP8+dlw9/N+LSN54k2MKxteiGFE9DoyJc+MMzaJ1rGiEwyOSpGDwD3bsXrEV7h2eJ/ZLuElIhKJwzgiIiJ9UmYBZ+YBP9cErq4HtO/+TVDfnM2QSjSFEEdEb2Kdwy+djYoECL57THSFwcpOS8WJNSvwx/ffICrkqugcIiKzwq8oiIiI9EGrBUK2AktrAydmAIq09z6ULDkcUzzfvqSViAqWdZZEdAK9A62rFPEJUaIzDF7io2hsnzUJO+dMRdKTR6JziIjMAodxREREhS3qPPBbM2DnV0BqwXyj0y1zE2QWPDuOSJ+ssjmMMyaPVfdFJxiViKuBWP/dMJxctwrZ6byeHBFRYeIwjoiIqLAk3ge29ATWtQOeXCvQQ1s9i8KsciEFekwiej0bGxtItBzGGQ0rC1wLPSi6wuho1CpcPbgHq0d+hWuH9kKj5vXkiIgKA4dxREREBS0nHTg6Cfi1LnB7X6E9zaepm2BnyW+UiPRBLpOLTqB3oCyuRmZmqugMo5WdlooTa1fijzG8nhwRUWHgMI6IiKgg3dwO/PIBcH4JoFEW6lNZpj3GPM+gQn0OInpObi0TnUDvIOIZzxwuCC+uJ7fjpym8nhwRUQGyFB1ARERkEuJuAwe/ByLP6PVpWydvgqNVTTxT8p90osJkY2kjOoHySGJriRthx0VnmJTIa1fw4HowanXoiPqdu8FKxv8fiIjyg2fGERER5UdOGnB4ArCiod4HcQAgzYjDQs/Len9eInNjI7UWnUB5lOGcDrVaJTrD5GjUKgTu3oZ13w5FxNVA0TlEREaNwzgiIqL3dWsn8Esd4OIvgEbcN37NEjbBVVa4S2KJzJ2NhMM4YxH6+LzoBJOWGv8UO+dMxe75M5GWmCA6h4jIKHEYR0RE9K4S7wMbOgF/9wPSnoiugUVWEhaX4TefRIXJBlaiEygPJM5WuB95RXSGWbgXeBFrRw/GlX07odFwMyEionfBYRwREVFeqXKAUz8ByxsA9w3rekT147agtE2O6AwikyXTchhnDBJlT0UnmBVldhZOb1iNjeNGIebuHdE5RERGg8M4IiKivLh/ElhWDzg1G1Bli655iSQnFUs89H/NOiJzIVNLRSfQ20iA4HtHRVeYpfioCGz+8Xsc/e0XZGeki84hIjJ4HMYRERG9SVYKsHsosKEjkBQhuuaNasb+hfK2WaIziEySNXcsNnhaVyni46NEZ5gtrVaD68cOYe2oQQg9e1J0DhGRQeMwjoiI6HVu7wd+rQtc2yi6JE8kygwsLnVCdAaRSZLl8MtmQ/dEZdg/MDEXmc9ScPCXBfh7+ngkxzwWnUNEZJD4VQUREdF/ZSQAf/cHtvQA0mNF17wTv5jtqFokQ3QGkcmx5jDOsFlZ4GroQdEV9C/RN6/jjzHDcWXfTmg1GtE5REQGhV9VEBER/dv1v4Bf6wC3dogueS8SVTbmlzgiOoPI5FhlSUQn0Bsoi6uRmflMdAb9h0qRg9MbVmPL5B+Q9IRnyRERvcBhHBEREQA8ewxs+gLYMRDITBRdky/ej3ehtmOa6AwikyGVSmGp5DDOkEU+uy46gd7gSXgYNvwwHFf27uBZckRE4DCOiIjMnVYLXFn7fKfU8EOiawqERKPEvOJcrkVUUGxt5KIT6A0ktlJcDzsmOoPeQqXIwemNa7B58hgkPXkkOoeISCgO44iIyHwlRQLrPwb2jQRyUkXXFCjPx3vR2CVFdAaRSZDLbEQn0BtkOGdCrVaJzqA8igm/jQ1jhiNwz3aeJUdEZovDOCIiMj9aLXBpObC8ARB1VnRNoZBo1ZjlvE90BpFJsLHiMM6Q3X5yQXQCvSOVUoEzf67F5knf8yw5IjJLHMYREZF5SXn4/Gy4Q2MBZabomkJV6vFBtClu3Ne/IzIENpYy0Qn0GhJnK9yNuCw6g95TzN07urPkNBq16BwiIr3hMI6IiMxHyBZgeUOTPRvuvyTQYmqRXaIziIyejYW16AR6jSRZnOgEyqcXZ8ltmTQGiY8fis4hItILDuOIiMj0ZSYBW3sDO78Gcp6JrtErtyfH0cmN36wS5YcNOIwzSBIg+P5R0RVUQGLu3sHGsSMRfHi/6BQiokLHYRwREZm0uKgzz3dKDdsjOkWYifLtohOIjJoMlqIT6FVcLREXFym6ggqQSpGD42uWY9e86chMNa8fnhGReeEwjoiITFKOOgezA2ajw7lvEWFbRHSOUC6xZ9Hb/bHoDCKjJVNbiU6gV3iijhCdQIXk/pUA/DHmG0RdvyY6hYioUHAYR0REJic8ORzd9nXDptubkKXOxrgS7lBamPc3099bbROdQGS0ZGqp6AT6L0sJroYeEl1BhSgjOQnbZ03CqT9+h1qlFJ1DRFSgOIwjIiKTodVqsTF0I3rs74F7Kfd0t4emRWG5/0cCy8RzeBqAr0tHi84gMkrWCg7jDI3KVYuMjGTRGVTYtFoE7d+FTRO+4+YORGRSOIwjIiKTkJCVgMHHB2NO4BzkqHNeun9NaiiuedQQUGY4hku2iE4gMkoyBb9kNjQRqddFJ5AexUXdx8ZxIxFy9KDoFCKiAsGvLIiIyOidfnganfd0xvnH51/7GLVWjXEOlsiQme/14+zigzG6zH3RGURGxypLIjqB/kUil+J66HHRGaRnqpwcHPv9V+yePwNZaamic4iI8oXDOCIiMloKtQIzL83EsBPDkJSd9NbHP858itlVGumhzHANVG+BRKIVnUFkVKyyOYwzJJkumVCrFaIzSJB7gZfwx/fD8OBGsOgUIqL3xmEcEREZpcfpj9H7YG9sufNuSy93J9/EMW/zHcjJE29hfNk7ojOIjIaNzAYWGg7jDElYzEXRCSRYenISts38EWc2rYNGoxadQ0T0zjiMIyIio3P20Vl8se8LhCaGvtfHT5WkIN6hRAFXGY++OZshlWhEZxAZBbmNjegE+heJkxXu3g8QnUGGQKtF4O5t+Hv6BGSkcDMPIjIuHMYREZHR0Gg1+OXaLxh6fCie5Tx77+OkKJ7hx/L+0MI8z3axTr6LaeXeb5BJZG7k1hzGGZJkeZzoBDIwj0JvYsMPw/Ew9IboFCKiPOMwjoiIjEJKdgqGHBuClddXQov8X/PsfMptbKr6UQGUGaeu6X9CZsGz44jexsZSJjqBXpAAwfe4cQO9LCMlGX9Pn4DLu7dBq+V1UYnI8HEYR0REBu9mwk103dcV55+8frfU97E4KwIRrhUL9JjGwir1AWaXCxGdQWTwbKQcxhmM4pZ4GscdoenVtBoNzm5ah93zZyI7I110DhHRG3EYR0REBm3r7a3oc7APYjJiCvzY2eocjC1RAkoLqwI/tjH4JHUT7Cx54WuiN7GRWItOoH880USITiAjcP/KJWwcNxJPIzm4JSLDxWEcEREZpCxVFsafHY8ZATOg1CgL7XnC0h7g12rmuVzVMu0x5nsGic4gMmgymOew3uBYSnAt7JDoCjISz57GYsuP3+P68cOiU4iIXonDOCIiMjgPUh+g54Ge2BuxVy/Pt/bZLQSVqaWX5zI0HyVvgrOVSnQGkcGSaS1FJxAAlasW6encMZPyTqVU4OiqpTi0bDGUihzROUREuXAYR0REBuV49HF039cdd5Pv6u05NVoNJhSxQLqNg96e01BIM+KwwDNAdAaRwZKpOYwzBJFp3CmT3s+t08ewecK3SI55LDqFiEiHwzgiIjIIao0aC68sxMiTI5GmTNP78z/OfIrZlRvp/XkNQdP4TSghU4jOIDJIMqVUdILZk8ilCLl1THQGGbH46ChsHDcK94P4wyciMgwcxhERkXAJWQn48siXWHtrrdCOPck3cNinidAGESyyk7GwzAXRGUQGyVrBYZxomS6ZUKv5AwPKH0VWJnbPm4mAnX+JTiEi4jCOiIjEuvr0Krru7YorT6+ITgEATEci4hxLis7Qu/pxW1BGni06g8jgWOfwy2XRbsdcEp1AJkKr1eDclj+w/+d5UCk44CUicfjVBRERCbMtfBv+7/D/IT4rXnSKzjNFKiZ6+UELiegUvZLkpGJR6TOiM4gMjnWWef1dYGgkTlYIv89hHBWs2+dPY+uUH5CelCg6hYjMFIdxRESkdxqtBvMD52PqxalQaQ1vJ8+LKXfwZ9XWojP0rmbs36holyU6g8hgSKVSWCo4jBMpWW44P6wh0xJ7/y7+HD8KsffCRacQkRniMI6IiPQqS5WFUSdHYX3oetEpb7Q46z7uufmIztAriTIDi9xPiM4gMhhyG7noBPMmAULuc+MGKjzpyUnYOmUsws6eFJ1CRGaGwzgiItKb+Mx49DvUDyceGv7AJ0edg3FurlBKrUWn6FWVJ9vg75AuOoPIIMhlNqITzFtxS8Q+vS+6gkycSqnAgV8W4MymddBqNKJziMhMcBhHRER6cSfpDrrv747QxFDRKXl2O+0Blvq3Ep2hVxJ1Dua7HRWdQWQQ5FYy0QlmLUYTKTqBzEjg7m3YNX8GFFmZolOIyAxwGEdERIXuzKMz6HOwD55mPhWd8s7WP7uFwLK1RWfoVcXHu1DHKVV0BpFwNpYcxgljKcHVsIOiK8jMRARdxqaJ3yHlaazoFCIycRzGERFRofoz7E8MPzEcmSrj/EmzRqvBBDst0mwcRafojUSjxNxi/CaYyMbCvJapGxKVqxbp6cmiM8gMJT6Kxp8TRuPhreuiU4jIhHEYR0REhUKtUWNWwCz8dPknqLVq0Tn5EpMVj5mVG4rO0Kuyj/ehSVF+I0zmTSbhME6UqLSbohPIjGWnpWL7rEkIO39adAoRmSgO44iIqMBlKDPwzYlvsPn2ZtEpBWZ/8k0c8mkqOkNvJFo1ZjntE51BJJSN1kp0glmSyKUIvsVrV5JYapUKB5bOx+Xd20SnEJEJ4jCOiIgKVGxGLPoc7IOzj8+KTilw0xGPWKdSojP0xv3xIbQtniA6g0gYmdpSdIJZynTJglqtEJ1BBGi1OLtpHY6vWc6dVomoQHEYR0REBeZWwi10398d4cnholMKRaoiDRPL+UILiegUvZBAi6lFdonOIBJGpuIwToTbsRdFJxDlEnx4P/YsnAWlIkd0ChGZCA7jiIioQBx7cAz9D/dHQpZpn0kVkBKODVVbi87QG9cnJ9DZzfh2wSUqCNZKqegEsyNxskL4vUuiM4heci/wEv6eNh6Zqc9EpxCRCeAwjoiI8m3NzTUYfWo0slRZolP0YknmPdx18xGdoTcT5NtFJxAJYZ3DL5X1LVkeLzqB6LVi7t7BlknfI+VprOgUIjJy/AqDiIjem0arwfSL07EoaBG00IrO0RuFRoGxrsWhkMpEp+iFS+w59HF/IjqDSO+ss81jSbohCYk4LjqB6I2SY55g84/fIfaeaV6Sg4j0g8M4IiJ6L0qNEmPPjMVf4X+JThEiPD0aP/u3FJ2hN99Zmed/ZzJvVhzG6ZerJWJj74muIHqrzGcp2DptHO4HBYhOISIjxWEcERG9s2xVNkacGIGDUQdFpwj1R8pNXPb8QHSGXjg8vYzBHlGiM4j0RiaTwULDYZw+xWiiRCcQ5ZkqJwe7589EyFHz/lqIiN4Ph3FERPRO0hXpGHRsEM4+Pis6RTgttJhgq0Gq3FF0il4MA8+OI/Mhl8lFJ5gXqQTXbh8WXUH0TrQaDY79/ivO/7VRdAoRGRkO44iIKM+Ss5Pxf0f+D0FPg0SnGIzYrHjM8G0oOkMv7OKD8W0ZLiEj8yC3thGdYFbUblqkpZn2btxkui5t34IT61ZCqzWf6+cSUf5wGEdERHnyNOMp+h3qh9DEUNEpBudg8k0cqNRMdIZeDFRvgUTCbzbI9MmtzGODFkMRlXZLdAJRvlw7uBeHVyyBRqMWnUJERoDDOCIiequHqQ/R91BfRDyLEJ1isGZoniLWqbTojEJnkxiKiWXviM4gKnQ2UmvRCWZDIpciOPSI6AyifLt16hj2L5kHtUolOoWIDByHcURE9EZ3k++iz6E+eJz+WHSKQUtTpmOCZyVoYfoXfO+dvQlWFjw7jkybTMJhnL5kuWRBpVKIziAqEOGXzmH3vOlQKnJEpxCRAeMwjoiIXut6/HX0P9wfCVm8jk9eXH4WjvX+rUVnFDrrlHuY6nlTdAZRobIBh3H6cjs2QHQCUYGKDA7CjlmTocjKFJ1CRAaKwzgiInqlSzGXMPDIQDzLeSY6xaj8nHEXd0r4is4odF3SN0Eu5XVxyHTJtJaiE8yCxNEKd+5dEJ1BVOAehd3E39MnICs9TXQKERkgDuOIiOglJ6JPYOixochU8Se670qpUWJscRcopKZ98Xer1AeY5RkiOoOo0MjUHMbpQ4otz7wm0xV7/y7+mjIWGSnJolOIyMBwGEdERLnsvb8X3576FgoNr9/zvu6lP8Ri/5aiMwrdJ882wc6SZ8eRaZKppKITzML1yBOiE4gKVcLDB9gyeQxS4+NEpxCRAeEwjoiIdDbf3owJ5yZApeUuYPm1MeUmLpWrIzqjUEnTn2C+5xXRGUSFwlrBYVyhc7XEk5hw0RVEhS4lNgabJ49B0pNHolOIyEBwGEdERACAVddXYVbALGjBXTILghZaTJSr8EzuJDqlULVO2gRnKw5vyfRYZ5n+zsiixWofiE4g0pv0xARsnTIW8dFRolOIyABwGEdERFh6bSmWXlsqOsPkPM1KwAzf+qIzCpVFZjwWeV4SnUFU4Kxy+GVyoZJKcDXskOgKIr3KfJaCv6dPQMJDDqKJzB2/yiAiMnMrQ1Zi1fVVojNM1qHkW9hbqZnojELVOH4zSsh4jUEyHRYWFrDK4ZlxhUntBqSlcfMGMj9Zqc/w9/QJSHwULTqFiATiMI6IyIytvbkWvwT/IjrD5M3WPEWMs4fojEJjkZ2MRWXOi84gKjC2crnoBJP3IP2W6AQiYTKfpeCvaeOR+Pih6BQiEoTDOCIiM/Vn2J9YGLRQdIZZSFOmY3xZb2gkpvvPbr24LSgjzxadQVQg5NYcxhUmiY0U124dFp1BJFTmsxT8PW08N3UgMlOm+10BERG91l93/sJPl38SnWFWrjy7i3VVW4vOKDSSnDQsLn1adAZRgbCxlolOMGlZRbOhUnFpO1FGSjL+njYeyTGPRacQkZ5xGEdEZGZ23t2JGZdmiM4wS79khON2ycqiMwpNjdi/4W2XJTqDKN/kUg7jCtOdpwGiE4gMRnpyEv6aNh7JsU9EpxCRHkm0Wq1WdAQREenH/oj9GH9uPDRajegUs1XB3gNbwoIgU5nmks5bHt3R/u7HojPIQBSRWcLVQQZHuTXsZVLYySz/92Ythb3MErYyy//dZ/3i/n/us7aElVQCC8mLN0AikUBq8fwNALRaba43jUaj+71SqYRCoYBCoUBOTs4bf//v28o4lUSlMCeo0xSAml8qFySJoxW2BPMHQkT/ZV+0GL6Y/BOc3EqITiEiPeAwjojITByJOoIxZ8ZArVWLTjF7vZz98cPVfaIzCoVWKsOn0qW4nmovOoUKkYPcEm5FbODqIINrERu4/fPrf9+XW0tFp+abOkMJTZoC6lQF1P/6VZOqgDo1R3cbh3Z586xkKg5dWC46g8ggFSlWHF9Mng1HVw7kiEwdh3FERGbgZPRJjD49GiqNSnQKAZBAghUogQaRprlU667H52h1t5PoDMoHW2spyhWzg1cxO5QrbgevYvYo5SzXDeBsrIx/yFbQNJnK54O5ZwqoErOgSnj+pozPgjo5G+BX3ACAs9k78SQmXHQGkcFyKO6KLyb/BIfirqJTiKgQcRhHRGTizj0+h+EnhkOpUYpOoX9xtSmKHQ+i4JiZLDqlwGktrNDNeikCUhxEp9AbWFpIUMbFFuWK2/1v8FbMHl7F7eDmYCM6z6RoVRqokrKfD+jiM6H8Z1Cnis+CJt2M/m4ubomtl2eKriAyeI6ubug6eTYcinEgR2SqOIwjIjJhATEBGHp8KHLUOaJT6BVaOVfBwqsHRWcUiqjSn6DpvW6iMwiARAJ4FbNH1VKOqOzugPL/DN88XGxhJeVeXqJpslVQxf9zFl1cJhSP06F8nA5NhukN6WKLP8HpyxtEZxAZBeeS7ug2dS5sHZ1EpxBRIeAwjojIRAU9DcLgY4ORpeLuloZspk1FfBJ2XHRGgdNKpOgv/xmnkpxFp5iVfw/e/Es7wu+fAZy9zFJ0Gr0jVUo2lI/Tnw/nHj3/1agHdFIJDsStRlpqvOgSIqPh6lkeXSfPhszWVnQKERUwDuOIiExQSHwIvj76NTKUGaJT6C3sreywLSEDpZKiRacUuCel2qDB/T6iM0wWB2/mx5gHdOqSEmy78JPoDCKjU9rXD53HT4OltbXoFCIqQBzGERGZmFuJtzDw8ECkKdNEp1Ae1XSsgLUhp2Ch1YhOKVBaSDC0yBIciC8mOsUk2Mss8YGnC+p5uaBGGWcO3gjAPwO6R+nIeZCKnPspUMZkGORmEREOoQgM2Ss6g8goedWqg0+/nQALKTfPITIVHMYREZmQ8ORwDDg8AM9ynolOoXc0wsEPX4YcEJ1R4OLdm+ODiC9FZxglO2spPijngnpeRVHfqyiquDvAktd4o7fQZCmRE5mKnIgU5EQ8M4jhnMRGiu33FkKpzBYbQmTEKjdujjZDRkEikYhOIaICwGEcEZGJiM2IRc/9PRGXFSc6hd6DpYUlNmXawDcmVHRKgfvOaRG2xbqJzjB4ttZS1PF8Pnyr5+UCv1KOHL5RvmkylciJfIaciGf/G87pWXYpJXafW6j35yUyNbXaf4qmfQaKziCiAsBhHBGRCUhVpKLvwb64l3JPdArlg5d9aWy9fQ02StPadCO5REPUiBoqOsPgyK2k+MDTGfXLF0U9r6LwK+XI3U2p0KkzlFBE6Xc4d93qPMLCzxX68xCZgw+79UHdz7qKziCifOIwjojIyCnUCnx99GtceXpFdAoVgO5OVTH+2n7RGQVusss8rH9SSnSGcO6ONmjh64ZWld1Q18sFMkte/4fEUqcqkHU7EdlhSci+mwKoCvbalRJHS2wJmQXwWw6iAtPyy6Go1qqt6AwiygcO44iIjJhWq8WYM2NwKOqQ6BQqIBJIsFxSEg0jLolOKVCprh/AP3qU6AwhqpZyRMvKbmjl64rK7o6ic4heS6NQI+deCrLCng/nNOn536n1mXsqDp1fXgB1RPSCRGKB9iPGwKf+h6JTiOg9cRhHRGTE5gfOx/rQ9aIzqIAVt3HBjgfRcMpMEp1SoOYWm4VljzxFZxQ6maUFGpQvhpa+rmju64qSjnLRSUTvTKvRQvEoDdmhScgKS4TqaeZ7Hedczi48fnKngOuISGppiY4/TIanfw3RKUT0HjiMIyIyUhtDN2JO4BzRGVRIWjlXwcKrB0VnFKjMYtVQ+dEPojMKhYudNVpUckXLym74sEIx2MksRScRFShVYhaybichOzQJOZEpQF5Wsxa3xNbLMws7jchsWcls0OXHmShZ0Ud0ChG9Iw7jiIiM0NEHR/Hd6e+g0RbstX3IsEyXe6Nj6DHRGQXqF9dpmB9dQXRGgXC2tUIHf3d8XM0dtco6Q2ohEZ1EpBeaLCWywpKQGRyPnLvJwGu+m3jq+gSnAjboN47IzMgdHNFjxgI4uZUQnUJE74DDOCIiI3P16VV8dfQr5KhzRKdQIbOztMW2xEyUTooWnVJgsl184RszEVqtcQ6uZJYW+KiyGzrWKIVGFYvD2pK7n5J5U6cpkBkSj8zgOCgfpf/vDqkEB+JWIy01XlwckZlwcS+N7tPnw8beXnQKEeURh3FEREYk4lkE+hzsg2c5z0SnkJ7UcKyAtSGnIdWqRacUmNUlf8T0SF/RGXkmkQANyxfDZzVK4aMqbihiYyU6icggKeMykRkch8xrcVDYKLDtwk+ik4jMRunKfvh8wnRILflvFJEx4DCOiMhIJGQloNeBXnic/lh0CunZNw5++CrkgOiMAqNwKo8qcdOg1Bj22XFV3B3QsUYpfOzvjhKONqJziIxK6qNYXD68A3cunEV2eproHCKzULlRM7Qd9q3oDCLKAw7jiIiMQKYyE/0O9UNYUpjoFBLA0sISG7NsUeXJTdEpBWaL+ziMjagqOuMlpZzk+LS6OzrWKAVvtyKic4iMnlqlRFTINYSdPYn7VwKgUipEJxGZtPqf90CDLj1EZxDRW3AYR0Rk4FQaFYYdH4bzT86LTiGBytmVwl93gmGjzBKdUiBUDmVQNXEmstRS0SmwtJCgXdWS6FG3DOp4usCCGzEQFYqczAzcvnAGIUcOIP5BpOgcIpPVduhoVG7cXHQGEb0Bh3FERAZu4rmJ2H1/t+gMMgBfOFfFxKv7RWcUmF2lvsPI+zWFPb+7ow161C2LLz4ojeJFuAyVSJ+e3AlD8JH9CL90DmqVSnQOkUmRWlqi84Tp8KhseGegE9FzHMYRERmwX679gpXXV4rOIAOyzKIUGt2/KDqjQKjtS6J6yhykqSz1+ryNKxZD7/pl0czHFZZS7oZKJFLmsxTcPHkUIccOIjU+TnQOkcmwsbNH9xnz4eJeWnQKEb0Ch3FERAZqe/h2TLk4RXQGGZhiMhfsePgQzhmJolMKxKHSIzDoXt1Cfx4HuSW61vZAz7plUa6YXaE/HxG9G41GjchrQQg5cgCRIUEAv0UhyjdHtxLoMWMBbB0cRacQ0X9wGEdEZICuxF7BwKMDodJw6Q69rLlzZSy5ekh0RoHQ2BbDB+kLkKiwKpTjVy3liD71y6KDvzvk1uKvT0dEb5cSG4Prxw/hxokj3ImVKJ9KeldC1x9nwdLaWnQKEf0Lh3FERAYmNiMWX+z7AknZSaJTyIBNlVdEp9DjojMKxGmPweh7t1GBHU9maYFPqrmjV72yqObhVGDHJSL9UipyEH7pPIIP70PsvXDROURGy7veh+gw8gdIJNygiMhQcBhHRGRActQ56HOwD0ITQ0WnkIGztbTFtqRseCRGiU7JN42NExpmL0ZMdv5+am8vs0TvemUx4ENPbshAZGIehd1EwK6/ERUcJDqFyCjV69wNDbv2Ep1BRP/gMI6IyICMPzseeyP2is4gI1HNoTzWXz8DqVYtOiXfLnl8iW53m7/Xx7rYWeP/PiyH3vXKwkFeOMtdicgwxEXex+Xd23Dn0jleV47oXUgk+HjUWHjXbSi6hIjAYRwRkcHYELoBcwPnis4gIzPUwQ+DQg6Izsg3rawImimWICor72e0lXKSY2BjL3xR24PXgyMyM8kxTxC4ZztunT4OjZrXVyXKCyuZDbrPmI/iZTxFpxCZPQ7jiIgMQEBMAAYdHQSVlt9Q0LuxlFhiQ44d/B7fEJ2Sb9c8+uKzu63f+rgKrvYY3KQ8PqnuDiuphR7KiMhQpSUlImj/Llw/ehDKnGzROUQGz9HVDT1nLYK8iIPoFCKzxmEcEZFgj9Mfo/u+7kjOSRadQkbK084df4Vfh1yRKTolX7RWtmir/Rm3021feX+10o4Y0qwCWvm6wcKCF6Emov/JSktF8OF9uHpwL3dgJXoLjyr++HzCdFhIeVY5kSgcxhERCZSlykKfg31wO+m26BQycl2dq+LHq/tFZ+RbqEd3tLv7ca7bGlYoiiFNK6BhhWKCqojIWCiys3Dj+GFc2bsT6cmJonOIDFb11h3QYsAg0RlEZovDOCIigcacHoODUQdFZ5CJ+NWiNBrfvyA6I1+0Uhk+ky5FcKo96nsVxZg2PqhRxll0FhEZGZVSiZsnDuPi9i3IfJYiOofIILUZMgpVmrQQnUFkljiMIyISZM3NNVgUtEh0BpmQojJn7Hj4GC4ZCaJT8uVh9VGIrDwUjb2Li04hIiOnyM7C1QO7EbhnBxRZxr2Un6igWVpZo9u0uXDzqiA6hcjscBhHRCTAhccXMPj4YGi0GtEpZGKaOlXG0muHRGe8HxcvoPlEaKt8BomEGzMQUcHJSn2GgN3bEHx4H9RKpegcIoNRpFhx9Jq9GLYOjqJTiMwKh3FERHr2MPUhuu3vhlRFqugUMlGTbX3w+a2jojPyzt4NaPIDULMPILUSXUNEJiw1IQ4X/96MW6ePQ8sfiBEBAMr4+aPzhOmwsOCGDkT6wmEcEZEeZSoz0fNAT9xLuSc6hUyY3FKObckKlEmIFJ3yZjIH4MORQN1BgLWd6BoiMiOJj6JxbssG3Au8KDqFyCDU6vAZmvb+P9EZRGaDwzgiIj0afWo0jj4wojOWyGj5O3hh/Y1zsNSoRKe8zFIG1Pka+HAUYOsiuoaIzNiTu7dxdtN6PAq9ITqFSLj2I8agUoPGojOIzAIvyEJEpCerrq/iII705npqBH7zby06IzeJxfOlqN9cBT6azkEc5duZM2fw8ccfw93dHRKJBLt27cp1//z58+Hm5gY3NzcsWpR7w5yAgADUqlULarVaj8VkaNwrVsIXk2ej07ipKF62nOgcIqGOrlqK5JjHojOIzALPjCMi0oNzj89h6PGh3LCB9MpSYon1iiLwfxQiOgXwbAS0mwu4VhZdQibk4MGDOH/+PGrWrInOnTtj586d6NixIwDgxo0bqFu3Lvbt2wetVosOHTogMDAQfn5+UCqVqFOnDlatWoUPPvhA7Isgg6HVaHDrzHGc+XMdslKfic4hEqK4pxd6zFgASytew5WoMFmKDiAiMnXxmfGYcG4CB3GkdyqtCuMcbfB3nB1sFRliIoqUBFrPBPw6i3l+Mmlt27ZF27ZtX3lfWFgY/P390bx5cwCAv78/wsLC4Ofnh3nz5qFx48YcxFEuEgsL+DVthQq16+PC3xsRfPgAN3kgsxMfFYFT61eh5ZdDRacQmTQuUyUiKkQarQbjzo5DUnaS6BQyU9GZMZjr11T/T2xhCTQcAQwL5CCOhKhatSrCw8MRHR2NBw8eIDw8HH5+frh37x7WrVuHGTNmiE4kA2Vjb4/m/Qeh10+L4e7jKzqHSO9Cjh7E7QtnRGcQmTQO44iICtHqG6sREBsgOoPM3PbkGzhV4UP9PWG5JsDg80CraYCsiP6el+hffH19MWvWLLRq1QofffQRZs+eDV9fXwwaNAhz587F4cOH4efnhxo1auDMGX7TSS9z9fRCtylz0GbIKNg6OonOIdKro6uWIjn2iegMIpPFa8YRERWS4Lhg9D/UHyqtAe5mSWbHReaMHY+eoGh6fOE9iYM70HoWUOWzwnsOoteQSCS5rhn3KuvWrcPu3buxYsUK+Pj4IDAwEI8ePULPnj0RGRkJmUymv2AyKtkZ6bjw9yYEH9rHpatkNlw9y6P7jPm8fhxRIeCZcUREhSBVkYofzvzAQRwZjKScZEyuWLNwDi61Aj4c9XxJKgdxZKASEhIwbdo0LF26FAEBAfD29kbFihXRrFkzKJVKhIeH671p9uzZkEgkGDlypO427gBrmGzs7NG831foNWcJSlWqIjqHSC/iou7j1PrfRGcQmSQO44iICsGUC1PwJIOn9pNhOZ0Shr+qtCrYg3o1AwZfAFpOAaztC/bYBABQqVSYOHEiypUrB7lcDi8vL0ybNg0azf/OzuEA5+1GjhyJUaNGoXTp0lCr1VAqlbr7VCqV3j8/gYGBWLVqFfz9/XW33bhxA5MmTcLmzZuxadMmjB8/Hjdv3gQAKJVKDBo0CCtWrIBUKtVrK/2Pa9ly6DZ1DtoOHc2lq2QWQo4ewJ2L50RnEJkc7qZKRFTAtoVvw9EHR0VnEL3S/JwHqFO8PDzj7+fvQEVKAm3nAJU/LZgweq05c+ZgxYoVWL9+PapUqYIrV66gf//+cHR0xIgRI3QDnH379kGr1aJDhw5o1aoV/Pz8dAOcVatWmeQAJz09Hffu3dO9HxkZieDgYLi4uKBMmTK6248ePYq7d+/ijz/+AADUqVMHt2/fxsGDB/Hw4UNIpVL4+Pjotbtnz5747bffcm0kwR1gjUflxs1RvnZdXPj7T1w7yKWrZNqOrPwZbuXKw6lESdEpRCaDwzgiogJ0P+U+5lyeIzqD6LWy1NkY514OGxIfwFLznsuoa/QCWs8EbJwKtI1e7eLFi/j000/Rvn17AICnpyc2b96MK1euADDvAc6VK1fQrFkz3fujR48GAPTt2xfr1q0DAGRlZWHYsGHYunUrLCyeLwopVaoUli5div79+0Mmk2H9+vWQy+V66x46dCjat2+Pli1b5hrG/XsHWK1W+9IOsEFBQXprpLeT2dqhWd+v4FO/MQ4vX4ykJ49EJxEVCkVWJvYu/gndp/P6cUQFhRs4EBEVkBx1Drrt64Z7Kffe/mAiwb52rIphwfvf7YMc3IGPlwAVPyqcKHqln376CStWrMCRI0fg7e2NkJAQfPTRR1i8eDG6d++OsLAwNGzYEMHBwdBqtahevTouXLgAKysrtGvXDkFBQShShLvaGootW7Zg5syZCAwMhI2NDZo2bYrq1atj8eLFAIAVK1bolhqPGjUKgwYNQsuWLTFs2DCoVCpMmTIFVlZWWLJkCRo3bizwldC/KRU5uPDXnwjat4tnyZHJqvZRe7T8v8GiM4hMAs+MIyIqIPMC53EQR0bj99RQfOhRHdUfBuftA3g2nDA//PADnj17hkqVKkEqlUKtVmPmzJno3r07AMDX1xezZs1Cq1bPrwc4e/Zs+Pr6omXLlpg7dy4OHz7MAY6BePjwIUaMGIEjR47AxsbmlY8ZNGgQBg0apHt/3bp1KFKkCOrXr59rB9hu3bpxB1gDYmUtQ5NeA1CxTgOeJUcmK+TIfpT1q4aKdRuITiEyejwzjoioABx7cAyjTo0SnUH0TjxsS2DbvVDY5qS//kE8G064LVu24Pvvv8e8efNQpUoVBAcHY+TIkVi4cCH69u37yo9Zt24ddu/ejRUrVuQa4PTs2ZMDHIF27dqFzz77LNf1+9RqNSQSCSwsLJCTk5PrvoSEBNSpUwdnzpzB1atXMWPGDFy+fBkAULx4cZw4cQJVq1bV++ugN+NZcmTKbIo4oN/8X2Hn5Cw6hciocTdVIqJ8ikmPweQLk0VnEL2zh5mxmFOlyesfUKMXMOQiB3GCff/99xg7diy6deuGqlWronfv3hg1ahRmz579yscnJCRg2rRpWLp0KQICAuDt7Y2KFSuiWbNmUCqVCA8P1/MroBdatGiBGzduIDg4WPdWu3Zt9OzZE8HBwS9tsmFoO8BS3rw4S67btLlwcS8tOoeoQGWnpeLw8sWiM4iMHpepEhHlg1qjxtizY5GqSBWdQvRediTfQJOKjdD87tn/3ciz4QxKZmambuOBF6RSKTSaV59x8+8BTmBgIAc4BqRIkSLw8/PLdZudnR2KFi360u2GtgMsvTt370roNWcJz5IjkxMZHITgw/tRvXV70SlERovDOCKifFgeshxX466KziDKlykWKfAv4oZiaU95bTgD9PHHH2PmzJkoU6YMqlSpgmvXrmHhwoUYMGDAS4/lAMc0GOIOsPR+eC05MlWn/1yDMlWrw8W9lOgUIqPEa8YREb2nwNhAfHnkS2j4k24yAR1KNMBsr848G84ApaWl4ccff8TOnTsRFxcHd3d3dO/eHZMmTYK1tbXucVlZWahevTq2bt2K6tWr627//fffMXHiRMhkMixbtgzt2/NMBiIRXlxL7sq+nQC/BSMTUKJ8RXSfPh8W/1liT0Rvx2EcEdF7SMlOQee9nRGXGSc6hSjfmnk0w/SG0+EocxSdQkRk8qJvXceBpfORkZwkOoUo3+p17o6GXXuKziAyOtzAgYjoPcy6PIuDODJ6lhaW+OGDH/Bz8585iCMi0pMyVfzRZ87P8KxeS3QKUb5d3vUXYu7eEZ1BZHR4ZhwR0Ts6Hn0cI0+OFJ1BlC8eRTwwr/E8VClWRXQKEZFZ0mo0uLJvJ85t+QMabqxCRsy5pDt6//QzrGxsRKcQGQ0O44iI3sGznGfouLsjErISRKcQvbc2nm0wuf5k2Fvbi04hIjJ7T8JvY9+SOUhLiBedQvTe/Fu2QauBw0RnEBkNLlMlInoHcy7P4SCOjJZMKsPk+pMxr8k8DuKIiAyEu3cl9JmzFBXq1BedQvTerh87hIirgaIziIwGz4wjIsqjM4/OYOjxoaIziN6Ll6MX5jeZj4rOFUWnEBHRa1w7tA+nN/wOtUolOoXondk6OqHv/F9h68Dr0BK9DYdxRER5kKZIQ8fdHblpAxmlzyp8hrF1xsLWylZ0ChERvUVc5H3sXTwHKbFPRKcQvbOKdRrgk2/Hi84gMnhcpkpElAfzAudxEEdGx9bSFj81+gnTGk7jII6IyEi4liuP3j8thu+HTUWnEL2zu5cvIPzSOdEZRAaPZ8YREb3F+cfnMejYINEZRO/Ex9kH85vMh6ejp+gUIiJ6TzdPHcXx35dDpVSITiHKM1tHJ/RfuAI29rw+LdHr8Mw4IqI3SFekY8rFKaIziN5Ja8/W2NBuAwdxRERGzq9pK3SbNhf2LkVFpxDlWeazFJz64zfRGUQGjcM4IqI3WBC0ALEZsaIziPLsmxrfYH6T+ZBbykWnEBFRAXDzqoBesxfD3buS6BSiPLt1+jiiQq6KziAyWBzGERG9xqWYS9gWvk10BlGe2Fra4udmP+Mr/69EpxARUQGzc3JGl0mzUaVpS9EpRHl29LdfoczOFp1BZJA4jCMieoVMZSamXJgiOoMoT0rbl8bGdhvRrEwz0SlERFRILK2s0GbwSDTtOxASCb+NI8OXGv8UZ7esF51BZJD4tzgR0SssClqEx+mPRWcQvVWdEnWwqf0mVHSuKDqFiIj0oFa7T9Fp3BTI7OxEpxC9VfCh/XgSflt0BpHB4TCOiOg/AmMDsfXOVtEZRG/VvVJ3rGi1As42zqJTiIhIjzyr1UTPmYvgUqq06BSiN9JqNTiy8meoVUrRKUQGRaLVarWiI4iIDEWWKgud93TGw7SHolOIXstSYonxdceji08X0SlERCRQTmYG9v88D5HXrohOIXqjep27oWHXXqIziAwGz4wjIvqXn6/+zEEcGTRnmTN+b/07B3FERASZrR06jvkRH3zSWXQK0Rtd3rUN8dFRojOIDAaHcURE/wiOC8am25tEZxC9lrezNzZ32IxabrVEpxARkYGwsJCicc/+aDvsW0itrETnEL2SRq3CkRVLoNGoRacQGQQO44iIAKg1asy4NAMarUZ0CtErNSrVCBvabkAp+1KiU4iIyABVbtQMXSfPhryIg+gUoleKvX8XV/fvFp1BZBA4jCMiArD1zlbcSb4jOoPolT4p/wmWNF8CWytb0SlERGTA3CtWQrepc1CkWHHRKUSvdOHvTUhLTBCdQSQch3FEZPaSspPwS/AvojOIXql/lf6Y+eFMWFlw6REREb2dSykPdJ8+H8U8yopOIXqJMicbp/74XXQGkXAcxhGR2VsctBhpijTRGUQv+b729xhde7TojEI1e/ZsfPDBByhSpAhcXV3RsWNH3LmT+yzV+fPnw83NDW5ubli0aFGu+wICAlCrVi2o1bwGDRHRC0VciuKLKXNQqlIV0SlELwm/dA4PbgSLziASSqLVarWiI4iIRLkefx29DvSCFvyrkAyHpcQSMz6cgfZe7UWnFLo2bdqgW7du+OCDD6BSqTBhwgTcuHEDoaGhsLOzw40bN1C3bl3s27cPWq0WHTp0QGBgIPz8/KBUKlGnTh2sWrUKH3zwgeiXQkRkcJSKHBxYMg/3rlwSnUKUi4t7afSZ9wuklpaiU4iE4J98IjJbGq0GMwNmchBHBkVuKceipovQsFRD0Sl6cejQoVzvr127Fq6urggKCkLjxo0RFhYGf39/NG/eHADg7++PsLAw+Pn5Yd68eWjcuDEHcUREr2FlLcPHo8fh2OpluHH8sOgcIp2kJ48QtH8X6nz6uegUIiE4jCMis7UtfBtCE0NFZxDpOMucsazlMvgV8xOdIsyzZ88AAC4uLgCAqlWrIjw8HNHR0dBqtQgPD4efnx/u3buHdevWISgoSGQuEZHBs5BK8dFX38DOyRmXtm8RnUOkc2nHVvh+2BRFihYTnUKkd1ymSkRmKSU7BR/v+hgpOSmiU4gAAKXsS2FFyxXwdPQUnSKMVqvFp59+iuTkZJw9e1Z3+4oVK3TXihs1ahQGDRqEli1bYtiwYVCpVJgyZQqsrKywZMkSNG7cWFQ+EZHBCz6yH8fXrAD4LSAZCO/6jfDxyB9EZxDpHc+MIyKz9PO1nzmII4Ph7eyN5S2Xw9XWVXSKUMOGDcP169dx7ty5XLcPGjQIgwYN0r2/bt06FClSBPXr14ePjw8CAwPx6NEjdOvWDZGRkZDJZPpOJyIyCtU/ag9bByccWDoPapVKdA4Rwi+exYMWrVG2anXRKUR6xd1Uicjs3Eq8he13t4vOIAIA1HarjbVt1pr9IO6bb77Bnj17cPLkSZQuXfq1j0tISMC0adOwdOlSBAQEwNvbGxUrVkSzZs2gVCoRHh6ux2oiIuPjXa8hOo2fBmu5XHQKEQDgxJoVHA6T2eEwjojMilarxayAWdBoNaJTiNC4dGOsaLUCDtYOolOE0Wq1GDZsGHbs2IETJ06gXLlyb3z8yJEjMWrUKJQuXRpqtRpKpVJ3n0qlglqtLuxkIiKjV6aKP7pOng0b+yKiU4h0mzkQmRMO44jIrOy6twvX46+LziBCc4/mWNR0EWRS815SOXToUGzcuBGbNm1CkSJFEBsbi9jYWGRlZb302KNHj+Lu3bsYOnQoAKBOnTq4ffs2Dh48iFWrVkEqlcLHx0ffL4GIyCi5lauALpNmQV7EfH8gRIbj0o6tSEtMEJ1BpDfcwIGIzEaqIhUf7/wYSdlJolPIzLUs0xJzG8+FldRKdIpwEonklbevXbsW/fr1072flZWF6tWrY+vWrahevbru9t9//x0TJ06ETCbDsmXL0L59+0IuJiIyLQkPH+CvaeORlfpMdAqZOW7mQOaEwzgiMhuzA2Zj0+1NojPIzLUu2xqzG8+GlQUHcUREZBgSH0Xjr2njkfksRXQKmbkuP85CGT9/0RlEhY7LVInILNxJuoOtd7aKziAz17ZcW/zU+CcO4oiIyKAULV0GX0yeDTtnF9EpZOZOb1gNni9E5oDDOCIyC7MCZkGt5YXdSZwOXh0w68NZsLSwFJ1CRET0EpdSHvhi8k+wdy4qOoXMWFzUfYSeOSE6g6jQcRhHRCZvX8Q+XI27KjqDzFjbcm0xveF0DuKIiMigOZd0R5dJM2Hn5Cw6hczY+a0boVTkiM4gKlQcxhGRSctR52Bx0GLRGWTGWpdtzTPiiIjIaLi4l0aXSbNg6+gkOoXMVFpiPK7u3y06g6hQcRhHRCZtc9hmPM18KjqDzFSLMi0wu/FsDuKIiMioFC3lgS4/zoS8iIPoFDJTl3f/zQ1FyKRxGEdEJitNkYbfb/4uOoPMVDOPZpjXeB43ayAiIqNUzKMsB3IkjCIrCxf+3iQ6g6jQcBhHRCZrzc01eJbzTHQGmaFGpRphfpP5sJJyEEdERMareNly+HziDNjY2YtOITN048RhJD5+KDqDqFBwGEdEJik+Mx5/hv0pOoPMUE3XmljYdCGspdaiU4iIiPLN1dMLn42dAktrmegUMjMatRpn/lwrOoOoUHAYR0QmaUXICmSpskRnkJmp6FQRS5svhY2ljegUIiKiAuPuXQkfjxoLiQW/fST9igi6jIe3rovOICpw/NuUiEzOg9QH2HF3h+gMMjMl7UpieavlcJDx2jpERGR6vGp+gI++Hi46g8zQ6Y1roNVqRWcQFSgO44jI5Cy9thQqrUp0BpkRR5kjVrZaCTdbN9EpREREhcavaUs06tFPdAaZmacR9xB27pToDKICxWEcEZmU0MRQHIk6IjqDzIjcUo5lLZahnGM50SlERESFrs6nn6Nmu09FZ5CZObflD6gUCtEZRAWGwzgiMimLgxZDC57GTvohlUixsMlC+Bf3F51CRESkN017/x8qNWwiOoPMSFpCPK4d2is6g6jAcBhHRCbjUswlXIy5KDqDzMi0htPwYekPRWcQERHplcTCAm2GjETZqtVFp5AZCdyzHYpsbtBGpoHDOCIyGYuDFotOIDMyutZofFL+E9EZREREQkgtrfDJt+Ph5lVBdAqZiay0VFw9sEd0BlGB4DCOiEzCkagjuJV4S3QGmYk+lfugv19/0RlERERCWctt0WnsFDiVcBedQmYiaN9O5GRmiM4gyjcO44jI6Kk0Kiy9tlR0BpmJDl4d8G3tb0VnEBERGQRbRyd0Hj8Nto5OolPIDGRnpCNo/y7RGUT5xmEcERm9nfd2Iio1SnQGmYEG7g0wrcE0WEj4zycREdELTm4l0Hn8NFjLbUWnkBkI2r8bWelpojOI8oXfTRCRUctWZWNF8ArRGWQGyjuVx4ImC2AltRKdQkREZHBcPb3QYcQYSPgDKypkiqxMXNm7Q3QGUb7wb0oiMmp/hv2JuKw40Rlk4hysHbC0+VLYW9uLTiEiIjJY5WrURuOe/URnkBm4dmgfMlOfic4gem8cxhGR0UpVpGL1zdWiM8jESSVSLGi6AB5FPESnEBERGbzaH3dC5cbNRWeQiVNmZyFwz3bRGUTvjcM4IjJaf4b9iTQFrxdBhWvMB2NQr2Q90RlERERGo9XAYShRwVt0Bpm44MP7kZGSLDqD6L1wGEdERilTmYlNYZtEZ5CJ61yxM3r49hCdQUREZFQsra3x6bcTYO9cVHQKmTCVIgcBu/4SnUH0XjiMIyKjtC18G1JyUkRnkAmr6VoTE+pOEJ1BRERklOxdiuLT7ydAasWNj6jwXD92CGlJCaIziN4Zh3FEZHSUaiXWh64XnUEmrIRdCSxsupA7pxIREeVDifLeaD1ohOgMMmFqpRIBO3h2HBkfDuOIyOjsvr8bcZncQZUKh43UBkubL0VROZfWEBER5Zfvh03xwSedRWeQCbt58ghSE+JFZxC9Ew7jiMioqDVqrL25VnQGmbCZH85EJZdKojOIiIhMxofd+6BcjdqiM8hEqVUqBO3bKTqD6J1wGEdERuXIgyOITosWnUEmapD/IHzk+ZHoDCIiIpNiYSFF++Hfw6VUadEpZKJunDiCrLRU0RlEecZhHBEZld9v/C46gUxU8zLNMbj6YNEZREREJklma4eO30+CzM5OdAqZIGVONq4d2is6gyjPOIwjIqNx+uFphCeHi84gE+Tl6IVZH86ChYT/LBIRERUW55Lu6DDiB0AiEZ1CJuja4f1Q5mSLziDKE37XQURG47cbv4lOIBMkk8owv8l82FnxJ/VERESFzbNaTdTt2EV0Bpmg7LRU3Dh+WHQGUZ5wGEdERiEwNhAh8SGiM8gEjaszDhWdK4rOICIiMhsNuvREKZ/KojPIBF3ZvwtqlUp0BtFbcRhHREaB14qjwtC2XFt09u4sOoOIiMisWEifb+hgY19EdAqZmLSEeNw+f1p0BtFbcRhHRAbvVuItXHhyQXQGmRiPIh6YVG+S6AwiIiKzVKRYcbQZPFJ0BpmgwD3bodVqRWcQvRGHcURk8H6/zrPiqGBZWlhifpP5sLe2F51CRERktsrXroua7T4VnUEmJvFRNO5fCRCdQfRGHMYRkUGLSInA8ejjojPIxHxb61tULspr1RAREYnWqEc/uHlVEJ1BJuby7r9FJxC9EYdxRGTQVt9cDS14mjkVnGYezdCrci/RGURERATA0soKHUb8AGu5XHQKmZCYu3fwMPSG6Ayi1+IwjogM1pP0JzgQcUB0BpmQEnYlML3hdNEZRERE9C9OJUrio6++EZ1BJuby7m2iE4hei8M4IjJY626tg0rLrcmpYEglUsxtPBeOMkfRKURERPQfPg0aw79lG9EZZEKigoMQFxUhOoPolTiMIyKDlKpIxa57u0RnkAkZVmMYarjWEJ1BREREr9G070AU8ygrOoNMyNWDe0QnEL0Sh3FEZJB23d2FLFWW6AwyEfXd62OA3wDRGURERPQGVtYydBj5AyxlMtEpZCLunD+DzNRnojOIXsJhHBEZHK1Wi613torOIBPhLHPG7A9nw0LCf/KIiIgMXdHSZdC831eiM8hEqJQK3Dh+WHQG0Uv4nQkRGZzzT84jOi1adAaZiIn1JqKovKjoDCIiIsqjqs1bw7N6LdEZZCJCjh6ERqMWnUGUC4dxRGRwttzeIjqBTETrsq3xkedHojOIiIjoHX00cBis5baiM8gEpCXG497li6IziHLhMI6IDMqjtEc4+/is6AwyAc4yZ4yrO050BhEREb2HIsWKo2mfL0VnkIm4dmif6ASiXDiMIyKD8tedv6DRakRnkAng8lQiIiLjVrX5R1yuSgXiUdhNxEVFiM4g0uEwjogMRrYqGzvu7RCdQSaAy1OJiIhMA5erUkHh2XFkSDiMIyKDcTDyIJ7lcOtxyh8uTyUiIjIdXK5KBeX2+dPISksVnUEEgMM4IjIgW+5w4wbKPy5PJSIiMi1crkoFQaXIwY0TR0RnEAHgMI6IDERIfAhCE0NFZ5CR4/JUIiIi08TlqlQQgo/sh0ajFp1BxGEcERmGLbd5VhzlD5enEhERmS4uV6WCkJYQj3uBl0RnEHEYR0TiJWUn4UgUTxmn/OHyVCIiItPG5apUEK4d2is6gYjDOCISb3v4dig0CtEZZMS4PJWIiMg8cLkq5dej0JtIfBQtOoPMHIdxRCSUWqPGX+F/ic4gI+Ykc+LyVCIiIjPB5apUELiRA4nGYRwRCXXq0SnEZsSKziAjNqrWKC5PJSIiMiN+TVvC3cdXdAYZsdCzJ6FWqURnkBnjMI6IhNp8e7PoBDJi/sX80bFCR9EZREREpEcSCwu0GDAYEgm/naX3k5X6DPevcCMHEod/exGRMBHPIhAQEyA6g4yUBBJMqDcBFvxCnIiIyOy4enqh2kftRGeQEbtx8qjoBDJj/A6GiIT56w6vFUfvr4tPF1QuWll0BhEREQnSsGsvyB0cRWeQkXoQcg2pCfGiM8hMcRhHREIoNUrsj9gvOoOMlJPMCcNrDBedQURERALZ2Nujcc9+ojPISGm1Gtw6dUx0BpkpDuOISIizj84iJSdFdAYZqRE1R8BRxp+EExERmbsqjVugZMVKojPISN08dRRajUZ0BpkhDuOISIi99/eKTiAjVbVYVXSq2El0BhERERkAiYUFWvzfIEAiEZ1CRig1Pg4PboaIziAzxGEcEends5xnOP3otOgMMkISSDChLjdtICIiov9xK1cB1Vq1FZ1BRurmiSOiE8gM8bsZItK7w1GHodQoRWeQEfrc+3NUKVZFdAYREREZmIZf9Ia8iIPoDDJC965cQlZaqugMMjMcxhGR3nGJKr0PR5kjN20gIiKiV5LbF0GjHn1FZ5ARUiuVCDt7UnQGmRkO44hIrx6mPkRwfLDoDDJCI2qMgJONk+gMIiIiMlB+TVuhRAVv0RlkhG6cPCo6gcwMh3FEpFd7I3hWHL27ykUrc9MGIiIieiOJhQVaDBjMzRzonSVERyHm3h3RGWRGOIwjIr3iElV6H+PrjofUQio6g4iIiAxcifIVUbXZR6IzyAiFnuFSVdIfDuOISG+uxV3Do/RHojPIyLQs0xLVilcTnUFERERGon6XHrC0shadQUYm/NI5aDRq0RlkJjiMIyK92XN/j+gEMjIWEgt8U+Mb0RlERERkRIq4FEWNth+LziAjk/ksBdE3QkRnkJngMI6I9EKhVuBw1GHRGWRkOlboCC8nL9EZREREZGTqfNoFMjs70RlkZG6fPyM6gcwEh3FEpBenHp5CmiJNdAYZEWsLawyuNlh0BhERERkhG3t71Pm0i+gMMjJ3L1+ASqEQnUFmgMM4ItIL7qJK76qHbw+UsCshOoOIiIiMVI02HWDvXFR0BhkRRVYmIq9dEZ1BZoDDOCIqdMnZyTj3+JzoDDIi9lb2+D+//xOdQUREREbMSmaD+p93F51BRub2+dOiE8gMcBhHRIXuYORBqDQq0RlkRAb4DYCTjZPoDCIiIjJyfs1awblkKdEZZEQirgZCkZUpOoNMHIdxRFTo9t7nElXKu2LyYujp21N0BhEREZkAC6kUDbv1Fp1BRkSlVODu5YuiM8jEcRhHRIUq8lkkbibeFJ1BRmRQtf9n776joy7zNozfM5n0npACIRA6hI4UFUVQlKIUC90CuuraC5ZVV8WGfe2v4q4iuoK6VmwoFlBEpBfpvZMAIQnpmfL+gUQiLYFMnt/MXJ9zOGoymVxhWZJ885S/KyI4wnQGAADwEy1OPUMpjZuazoAPYasqvI1hHACvYlUcqiM9Ol0XNbvIdAYAAPAzZ44cbToBPmTL70tUlJ9nOgN+jGEcAK+avnm66QT4kJs63qRge7DpDAAA4Gcatu2ghm07mM6Aj3C7XFr968+mM+DHGMYB8JoNeRu0KX+T6Qz4iFYJrdQno4/pDAAA4KfOGHGF6QT4kFW//GQ6AX6MYRwAr/lhyw+mE+BDbup4k+w2Pi0BAADvSG3STM26dTedAR+xY81K5e/ONp0BP8V3PQC85sctP5pOgI9oldBKZ9Y/03QGAADwc90uHGI6Ab7C49G6edyqCu9gGAfAK3YX7dayPctMZ8BHXNX2KtMJAAAgAKQ0aqqG7TuZzoCPWDdvjukE+CmGcQC84setP8ojj+kM+ICGMQ3Vu0Fv0xkAACBAdBvE6jhUzbZVy1VcsN90BvwQwzgAXsF5caiqMa3HKMgeZDoDAAAEiPTWbVW3WUvTGfABHrdbGxbMNZ0BP8QwDkCNKygr0NxdfNLC8SVHJGtAkwGmMwAAQIDpNpjVcagazo2DNzCMA1Djft7+s8rd5aYz4AOuyLxCIUEhpjMAAECAadypixLTG5rOgA/YtHSRystKTWfAzzCMA1Dj2KKKqogNjdUlzS8xnQEAAAKQzW5X10F8HYLjc5aWavOSRaYz4GcYxgGoUeWucs3aPst0BnzAyJYjFREcYToDAAAEqJan91BMUorpDPgAblVFTWMYB6BG/bbrNxWUF5jOgMWFO8I1suVI0xkAACCA2YOC1GXgRaYz4AM2LJwrt9tlOgN+hGEcgBrFFlVUxZDmQxQXFmc6AwAABLjWPXsrIjbOdAYsrnh/vnasWmk6A36EYRyAGuPxeDRj6wzTGbA4h92hyzMvN50BAACg4JBQndJ/kOkM+IB187lVFTWHYRyAGrN0z1LtLt5tOgMWN7DJQKVEcj4LAACwhvbn9VdIOOfY4tjWzf/NdAL8CMM4ADWGLao4HptsGtN6jOkMAACACqERkerQ53zTGbC4vKxd2r15o+kM+AmGcQBqDMM4HM8ZaWcoIzbDdAYAAEAlHc47XzY73x7j2NbN51ZV1Az+tgFQIzbkbdCm/E2mM2Bxw1sON50AAABwmOjEOmrSuZvpDFjcxsULTCfATzCMA1AjWBWH40mLSlP3et1NZwAAABxRh/PYqopj27VujUqLCk1nwA8wjANQI37e9rPpBFjc0OZDFWQPMp0BAABwRA1at1N83TTTGbAwj9utLcuWmM6AH2AYB+CkFZUXaemepaYzYGHB9mANbjbYdAYAAMBR2ex2tT+vv+kMWNymJQtNJ8APMIwDcNIWZi+U0+00nQEL65PRRwlhCaYzAAAAjql1j3PkCAk1nQEL27R0kekE+AGGcQBO2m87fzOdAIsb3oKLGwAAgPWFRUWp1Rlnmc6AheXvzlLOju2mM+DjGMYBOGkM43AsrRJaqX1ye9MZAAAAVcJWVRzP5qVsVcXJYRgH4KTkluRqVc4q0xmwsGEthplOAAAAqLKURk1Vt1lL0xmwMLaq4mQxjANwUubumiuPPKYzYFHRwdHq16if6QwAAIBq6cDqOBzD1uXL5HJyZjZOHMM4ACeFLao4lkFNBykiOMJ0BgAAQLU0P/UMhUfHmM6ARZWXFGvHmpWmM+DDGMYBOCm/7WIYh6Mb2mKo6QQAAIBqc4SEqE2vc01nwMI2LeHcOJw4hnEATtiuwl3anL/ZdAYs6tS6p6pRbCPTGQAAACekXe9+ks1mOgMWtZlz43ASGMYBOGFzds4xnQALu6T5JaYTAAAATlhcSqoy2nU0nQGLyt64QUX5eaYz4KMYxgE4YZwXh6OJCo5Sz/SepjMAAABOSqsze5lOgEV5PG5tXrbYdAZ8FMM4ACeMYRyO5tyG5yo0KNR0BgAAwElp2uVUOUL5mgZHtm35MtMJ8FEM4wCckA25G7S7eLfpDFjUBY0vMJ0AAABw0kLCwtWsy2mmM2BR21YtN50AH8UwDsAJ4bw4HE1KRIo6p3Y2nQEAAFAjWp3R03QCLCpn+1bOjcMJscwwbty4cerQoYPpjKPatGmTbDabFi9ebDoFsAS2qOJo+jfqL7vNMp9eAAAATkrDdh0VHhNrOgMWtX31CtMJ8EFV/m7JZrMd89fo0aO9mOlbjjW469mzp2699dZab6qOGTNmyGazKTc313SKX7L64LkqXG6X5mXNM50Bi2KLKgAA8Cf2oCC17H6W6QxY1PaVbFVF9Tmq+sCdO3dW/Pv777+vBx54QKtXr654WXh4eM2WISCVl5crODjYdAaOY2XOSu0v2286AxbUPL65mic0N50BAABQozLP7KlFX081nQEL2s65cTgBVV4Zl5qaWvErNjZWNput0ssmT56sJk2aKCQkRC1atNA777xT6e23bNmiQYMGKSoqSjExMRo6dKiysrKO+v5mzJihrl27KjIyUnFxcerevbs2b9583M7169dr0KBBSklJUVRUlLp06aLvvvuu0mMyMjI0fvx4XXnllYqOjlaDBg30+uuvV3rM3Llz1bFjR4WFhalz585atGhRVX+rqmXfvn26/PLLFR8fr4iICPXr109r166teP1bb72luLg4ffHFF2rRooUiIiJ0ySWXqLCwUJMmTVJGRobi4+N10003yeVyVbxdWVmZ7rrrLqWlpSkyMlLdunXTjBkzTqjxRBsyMjL0yCOPaOTIkYqKilK9evX00ksvVXpum82m1157TYMGDVJkZKQeffRRSdKrr7561D9PI0aM0PDhwys9T3l5uerUqaOJEydKkjwej5566ik1btxY4eHhat++vT788MOKxx9c/ffNN9+oY8eOCg8P19lnn63s7Gx9/fXXatWqlWJiYjRixAgVFRVVvF1Vn/f7779X586dFRERodNPP71icP3WW2/poYce0pIlSypWlb711lsn9L+LSZwXh6M5v9H5phMAAABqXGqT5oqvW890Biwoe9MGlZeUmM6Aj6mRQ30++eQT3XLLLRo7dqx+//13XXvttRozZox+/PFHSQcGGIMHD1ZOTo5mzpyp6dOna/369Ro2bNgRn8/pdGrw4ME666yztHTpUv3666+65pprZLPZjttSUFCg/v3767vvvtOiRYvUp08fDRgwQFu2bKn0uGeffbZiyHb99dfruuuu06pVqyRJhYWFuuCCC9SiRQstWLBA48aN0x133HGSv0tHNnr0aM2fP19Tp07Vr7/+Ko/Ho/79+6u8vLziMUVFRXrxxRf13nvvadq0aZoxY4YuuugiffXVV/rqq6/0zjvv6PXXX680FBozZox++eUXvffee1q6dKmGDBmivn37Vhr0VceJNEjS008/rXbt2mnhwoW65557dNttt2n69OmVHvPggw9q0KBBWrZsma688srj/nkaNWqUpk6dqoKCgorn+Oabb1RYWKiLL75YkvTPf/5TEydO1Kuvvqrly5frtttu06WXXqqZM2dWet/jxo3Tyy+/rNmzZ2vr1q0aOnSonn/+eU2ePFlffvmlpk+fXmmAWNXnve+++/Tss89q/vz5cjgcuvLKKyVJw4YN09ixY9W6dWvt3LlTO3fuPOr/D6yM8+JwNP0b9zedAAAA4BWtzuhlOgEW5Ha5tGPNKtMZ8DFV3qZ6LM8884xGjx6t66+/XpJ0++23a86cOXrmmWfUq1cvfffdd1q6dKk2btyo9PR0SdI777yj1q1ba968eerSpUul58vPz1deXp4uuOACNWnSRJLUqlWrKrW0b99e7du3r/jvRx99VJ988ommTp2qG2+8seLl/fv3r+i9++679dxzz2nGjBlq2bKl3n33XblcLr355puKiIhQ69attW3bNl133XXV+n05/fTTZbdXnncWFxdXnBe2du1aTZ06Vb/88otOP/10SdK7776r9PR0ffrppxoyZIikA6u+Dq4Uk6RLLrlE77zzjrKyshQVFaXMzEz16tVLP/74o4YNG6b169drypQp2rZtm+rVO/DTmzvuuEPTpk3TxIkTNX78+Gp9HCfScFD37t31j3/8Q5LUvHlz/fLLL3ruued07rnnVjxm5MiRFcOqg/99rD9Pffr0UWRkpD755BNddtllkqTJkydrwIABiomJUWFhof71r3/phx9+0GmnHbiGvHHjxpo1a5YmTJigs87687yHRx99VN27d5ckXXXVVbrnnnu0fv16NW7cuOLj/PHHH3X33XdX63kfe+yxiv/+xz/+ofPPP18lJSUKDw9XVFSUHA6HUlNTq/2/gxW43C4t3b3UdAYsqEtqF6VG+uafawAAgONpdUZPzf7fu6YzYEHbVi1Xw3YdTGfAh9TIyriVK1dWDDQO6t69u1auXFnx+vT09IpBnCRlZmYqLi6u4jGHSkhI0OjRoytWtb3wwguVzqw7lsLCQt11110Vzx8VFaVVq1YdtjKuXbt2Ff9+cMttdnZ2RW/79u0VERFR8ZiDw5fqeP/997V48eJKvzp37lzx+pUrV8rhcKhbt24VL0tMTFSLFi0q/b5ERERUDMEkKSUlRRkZGYqKiqr0soP9CxculMfjUfPmzRUVFVXxa+bMmVq/fn21P44TaTjor79vp5122mH/mx/6eyId/89TcHCwhgwZonffPfCJsLCwUJ999plGjRolSVqxYoVKSkp07rnnVvr433777cM+/kP/HKSkpCgiIqJiEPfXj+lEn7du3bqSdNjvja9al7tORc6i4z8QAYctqgAAwJ/FpdZV3WYtTWfAgjg3DtVVIyvjJB22hdTj8VS87NB/P9pj/mrixIm6+eabNW3aNL3//vv65z//qenTp+vUU089Zsedd96pb775Rs8884yaNm2q8PBwXXLJJSorK6v0uL9eEmCz2eR2uyu6akJ6erqaNm1a6WWHXnRxtPfz19+XI7Ueq9/tdisoKEgLFixQUFBQpccdOjyrjuo2HMtf/zePjIw87mP++nsyatQonXXWWcrOztb06dMVFhamfv36SVJFw5dffqm0tLRKzxMaGnrUj6sqv68n+ryHvr2vW7J7iekEWFCwPVjnZpx7/AcCAAD4sMwze2rnWrYkorKda1fL5XQqyFFjIxb4uRpZGdeqVSvNmjWr0stmz55dsbU0MzNTW7Zs0datWytev2LFCuXl5R1z+2nHjh11zz33aPbs2WrTpo0mT5583Jaff/5Zo0eP1oUXXqi2bdsqNTVVmzZtqtbHk5mZqSVLlqi4uLjiZXPm1PyB9ZmZmXI6nfrttz/P39q7d6/WrFlT5W25R9KxY0e5XC5lZ2eradOmlX7V9tbIv/6+zZkzRy1bHvunScf78yQd2AKcnp6u999/X++++66GDBmikJAQSQd+X0NDQ7Vly5bDPv5DV2dWV009b0hISKWLLnwNwzgcSc/0nooJiTGdAQAA4FXNTztT9r8seACcZaXK2rDOdAZ8SI2Mbe+8804NHTpUnTp10jnnnKPPP/9cH3/8ccUtpr1791a7du00atQoPf/883I6nbr++ut11llnHbZFUZI2btyo119/XQMHDlS9evW0evVqrVmzRpdffvlxW5o2baqPP/5YAwYMkM1m0/3331/tFUkjR47Ufffdp6uuukr//Oc/tWnTJj3zzDPVeo6qaNasmQYNGqSrr75aEyZMUHR0tP7xj38oLS1NgwYNOuHnbd68uUaNGqXLL79czz77rDp27Kg9e/bohx9+UNu2bdW/f+0dsP7LL7/oqaee0uDBgzV9+nT973//05dffnnMtznenyfpwGqzkSNH6rXXXtOaNWsqLneQpOjoaN1xxx267bbb5Ha7dcYZZyg/P1+zZ89WVFSUrrjiihP6WGrqeTMyMrRx40YtXrxY9evXV3R09GEr66yM8+JwJH0z+ppOAAAA8LqImFg1aNtBmxYvMJ0Ci9m+arnqNWcbM6qmRlbGDR48WC+88IKefvpptW7dWhMmTNDEiRPVs2dPSQcGJ59++qni4+PVo0cP9e7dW40bN9b7779/xOeLiIjQqlWrdPHFF6t58+a65pprdOONN+raa689bstzzz2n+Ph4nX766RowYID69OmjTp06VevjiYqK0ueff64VK1aoY8eOuu+++/Tkk09W6zmqauLEiTrllFN0wQUX6LTTTpPH49FXX3112HbJE3neyy+/XGPHjlWLFi00cOBA/fbbbye1MuxEjB07VgsWLFDHjh31yCOP6Nlnn1WfPn2O+TbH+/N00KhRo7RixQqlpaUddsbcI488ogceeECPP/64WrVqpT59+ujzzz9Xo0aNTurjqYnnvfjii9W3b1/16tVLSUlJmjJlykk11aa80jxtzt9sOgMWE2wPVve07sd/IAAAgB9ockq34z8IAWcb58ahGmyemjogDfiLjIwM3Xrrrbr11ltNp6CGzNo+S9d9V71bheH/utfrrtfOfc10BgAAQK3Yv3ePXr9+tOkMWExYdIxu+M/xj9YCpBpaGQcgMHBeHI6kZ3pP0wkAAAC1JjqxjpIbNTGdAYsp2Z+vvOxdpjPgI3xuGNe6dWtFRUUd8de7775bKw1///vfj9rw97//vVYaTka/fv2O2j9+/HjTebAwzovDkZxV/yzTCQAAALWKrao4Ei5xQFX53DbVzZs3q7y8/IivS0lJUXR0tNcbsrOzlZ+ff8TXxcTEKDk52esNJ2P79u2Vboo9VEJCghISEmq5CL7A4/Go+3vdtb9sv+kUWEjLhJb634D/mc4AAACoVVkb1+m//7jVdAYspsugS9Rj5GjTGfABNXKbam1q2LCh6QQlJydbfuB2LGlpaaYT4IM2529mEIfDsEUVAAAEopRGTRWVkKiCnL2mU2AhWevXmk6Aj/C5baoAzPh97++mE2BBvdJ7mU4AAAAwoklntqqisqyNbFNF1TCMA1Aly/dwVTcqS45IVmZipukMAAAAIzg3Dn9VWliofbt2mM6AD2AYB6BKVuxdYToBFsMWVQAAEMjSW7dTcFi46QxYDFtVURUM4wAcl9vj1sqclaYzYDE96/c0nQAAAGCMIzhYGe06ms6AxeziRlVUAcM4AMe1IXeDip1HvoEXgSncEa6udbuazgAAADCKc+PwV1kbWBmH42MYB+C4lu/lvDhUdnq90xUaFGo6AwAAwKhGHTvLZuPbavwpe+N6eTwe0xmwOP7WAHBcDOPwV9yiCgAAIEXExKpei1amM2AhZcXFytmxzXQGLI5hHIDjYhiHvzoj7QzTCQAAAJbQuGNn0wmwmCzOjcNxMIwDcExOt1NrctaYzoCFNI1rqsTwRNMZAAAAlpDeup3pBFgMwzgcD8M4AMe0JX+LSlwlpjNgIV1TubgBAADgoJTGTRUcFm46AxbCMA7HwzAOwDFtyNtgOgEW0zmVrRgAAAAH2YOCVL9la9MZsJA9WzeZToDFMYwDcEzrc9ebToDFdE5hGAcAAHCo9NZtTSfAQkoLC1WQs9d0BiyMYRyAY1qfxzAOf2oe31zxYfGmMwAAACyFYRz+as+2LaYTYGEM4wAc08a8jaYTYCGsigMAADhcckYThYRzbhz+tHcrwzgcHcM4AEfl9ri1KW+T6QxYSJfULqYTAAAALMceFKQ0zo3DIfZu22w6ARbGMA7AUW0v2M5NqqiElXEAAABH1qB1O9MJsJC927aaToCFMYwDcFQbcrlJFX9qHt9ccWFxpjMAAAAsqX4m58bhT3s5Mw7HwDAOwFFtyGMYhz+xRRUAAODokjMaKyQ8wnQGLKK0qFD7c/aYzoBFMYwDcFTrc7lJFX/qmtrVdAIAAIBl2YOCVL9VG9MZsBAuccDRMIwDcFTcpIqDbLLplJRTTGcAAABYWnprtqriT2xVxdEwjANwVGxTxUHN45srNjTWdAYAAIClpXNuHA6xh5Vxlmez2fTpp5/W+vtlGAfgiLIKs1RQXmA6AxbBeXEAAADHl5TRSKERkaYzYBF7t202nXBSZs+eraCgIPXt27fabztu3Dh16NCh5qNO0NF6du7cqX79+tV6D8M4AEe0Po/z4vCntnX4KS8AAMDx2O1BSmnc1HQGLGLvtq2mE07Km2++qZtuukmzZs3Sli3+ucovNTVVoaGhtf5+GcYBOCLOi8OhWiW2Mp0AAADgExjG4aCy4iLl79ltOuOEFBYW6oMPPtB1112nCy64QG+99VbF69566y3FxcVVevynn34qm81W8fqHHnpIS5Yskc1mk81mq3j7LVu2aNCgQYqKilJMTIyGDh2qrKysiuc5uILtzTffVIMGDRQVFaXrrrtOLpdLTz31lFJTU5WcnKzHHnus0vs/1vMeq+fQbaqnnXaa/vGPf1R63t27dys4OFg//vijJKmsrEx33XWX0tLSFBkZqW7dumnGjBnV/v1lGAfgiLhJFQdFBkeqYUxD0xkAAAA+IaVRE9MJsJCcHdtMJ5yQ999/Xy1atFCLFi106aWXauLEifJ4PFV622HDhmns2LFq3bq1du7cqZ07d2rYsGHyeDwaPHiwcnJyNHPmTE2fPl3r16/XsGHDKr39+vXr9fXXX2vatGmaMmWK3nzzTZ1//vnatm2bZs6cqSeffFL//Oc/NWfOHEk67vMereevRo0apSlTplT6ON9//32lpKTorLPOkiSNGTNGv/zyi9577z0tXbpUQ4YMUd++fbV27dpq/f46qvVoAAGDYRwOapXQSnYbP7sBAACoipTGzUwnwEJyd+2U2nU0nVFtb7zxhi699FJJUt++fVVQUKDvv/9evXv3Pu7bhoeHKyoqSg6HQ6mpqRUvnz59upYuXaqNGzcqPT1dkvTOO++odevWmjdvnrp0OXBOtdvt1ptvvqno6GhlZmaqV69eWr16tb766ivZ7Xa1aNFCTz75pGbMmKFTTz1V33333XGf90g9fzVs2DDddtttmjVrls4880xJ0uTJkzVy5EjZ7XatX79eU6ZM0bZt21SvXj1J0h133KFp06Zp4sSJGj9+fJV/f/nuCsARsU0VB2UmZppOAAAA8BlxqXUVGsklDjggN2un6YRqW716tebOnavhw4dLkhwOh4YNG6Y333zzpJ535cqVSk9PrxiYSVJmZqbi4uK0cuXKipdlZGQoOjq64r9TUlKUmZkpu91e6WXZ2dnVet7jSUpK0rnnnqt3331XkrRx40b9+uuvGjVqlCRp4cKF8ng8at68uaKioip+zZw5U+vXV28xCyvjABwmpyRH+0r3mc6ARbRObG06AQAAwKekNGqqLb8vMZ0BC8jzwWHcG2+8IafTqbS0tIqXeTweBQcHa9++fbLb7YdtWS0vLz/u83o8nopz5Y718uDg4Eqvt9lsR3yZ2+2u1vNWxahRo3TLLbfopZde0uTJk9W6dWu1b99e0oEVe0FBQVqwYIGCgoIqvV1UVFS13g8r4wAcZkPuBtMJsBAubwAAAKgeLnHAQblZu0wnVIvT6dTbb7+tZ599VosXL674tWTJEjVs2FDvvvuukpKStH//fhUWFla83eLFiys9T0hIiFwuV6WXZWZmasuWLdq69c9bZlesWKG8vDy1anXi33NU5XmP1HMkgwcPVklJiaZNm6bJkydXbNWVpI4dO8rlcik7O1tNmzat9OtY21+PhJVxAA6zdb9vX8GNmsPlDQAAANXHJQ44yNe2qX7xxRfat2+frrrqKsXGxlZ63SWXXKI33nhD33//vSIiInTvvffqpptu0ty5cyvdtiod2Gq6ceNGLV68WPXr11d0dLR69+6tdu3aadSoUXr++efldDp1/fXX66yzzlLnzp1PuLkqz3ukntDQ0MOeKzIyUoMGDdL999+vlStXauTIkRWva968uUaNGqXLL79czz77rDp27Kg9e/bohx9+UNu2bdW/f/8qN7MyDsBhdhX61k9v4D0mLm94/PHH1aVLF0VHRys5OVmDBw/W6tWrj/r4a6+9VjabTc8//3yll99+++1KSEhQgwYN9N5771V63QcffKABAwZ4Ix8AAEDJrIzDH5ylpSrYl2M6o8reeOMN9e7d+7BBnCRdfPHFWrx4sTZt2qT//ve/+uqrr9S2bVtNmTJF48aNO+yxffv2Va9evZSUlKQpU6bIZrPp008/VXx8vHr06KHevXurcePGev/990+quSrPe6Seoxk1apSWLFmiM888Uw0aNKj0uokTJ+ryyy/X2LFj1aJFCw0cOFC//fZbpfPqqtTsqerdtAACxoOzH9THaz82nQELuDzzct3Z5c5afZ99+/bV8OHD1aVLFzmdTt13331atmyZVqxYoci/HIb86aefaty4cdq9e7fuvPNO3XrrrZKkzz//XFdffbW++OILrV27VldeeaW2bdumxMRE5ebmqkuXLvr+++8P++QKAABQU14eM0ylRYXHfyD83rCHnlT9lpzDjD+xMg7AYXYW+NZSaniPicsbpk2bptGjR1ccljpx4kRt2bJFCxYsqPS47du368Ybb9S777572IGuK1euVM+ePdW5c2eNGDFCMTEx2rDhwFmId911l66//noGcQAAwKs4Nw4H5WdnmU6AxTCMA3CYXUVsU8UBVri8IS8vT5KUkJBQ8TK3263LLrtMd955p1q3Pnxg2L59e82fP1/79u3TggULVFxcrKZNm2rWrFlauHChbr755lrrBwAAgYlhHA7KYxiHv2AYB+AwnBkHyRqXN3g8Ht1+++0644wz1KZNm4qXP/nkk3I4HEcdqvXp00eXXnqpunTpotGjR2vSpEmKjIzUddddpwkTJujVV19VixYt1L17dy1fvry2PhwAABBAuMQBB+XtZhiHyrhNFUAleaV5KnYWm86ABZi4vOGvbrzxRi1dulSzZs2qeNmCBQv0wgsvaOHChbLZbEd923HjxlU6SHbcuHHq3bu3goOD9eijj2rZsmX64osvdPnllx+2BRYAAOBkcYkDDsrfnW06ARbDyjgAlbAqDgc1j29u9P3fdNNNmjp1qn788UfVr1+/4uU///yzsrOz1aBBAzkcDjkcDm3evFljx45VRkbGEZ9r1apVevfdd/XII49oxowZ6tGjh5KSkjR06FAtXLhQ+fn5tfRRAQCAQBGfWk/BoWGmM2ABbFPFX7EyDkAlDONwUKPYRkber8fj0U033aRPPvlEM2bMUKNGlTsuu+wy9e7du9LL+vTpo8suu0xjxow54vNdc801evbZZxUVFSWXy6Xy8nJJqvin2+320kcDAAACWXy9NGVvXG86A4YV5OyR2+2S3R5kOgUWwTAOQCU7C7lJFQdkxGQYeb833HCDJk+erM8++0zR0dHatevAgDg2Nlbh4eFKTExUYmJipbcJDg5WamqqWrRocdjz/fvf/1ZycrIGDhwoSerevbvGjRunOXPm6Ouvv1ZmZqbi4uK8/nEBAIDAk1CXYRwkt8ul/Xv2KDY5xXQKLIJhHIBKWBmHg0xd3vDqq69Kknr27Fnp5RMnTtTo0aOr9VxZWVkaP368Zs+eXfGyrl27auzYsTr//POVnJysSZMmnWwyAADAEcXXSzOdAIsoyNnLMA4VGMYBqGRXEcM4SKFBoUqJNPPFgsfjqfbbbNq06YgvT0lJOeLrHnjgAT3wwAPVfj8AAADVEV+XYRwOKMzNMZ0AC+ECBwCVsDIO0oFVcaZvUgUAAPB18XXrmU6ARRTs22c6ARbCd1oAKmEYB8nceXEAAAD+hJVxOIiVcTgUwzgAFdwet7KKuHYb5s6LAwAA8CehEZGKiI0znQELKGRlHA7BMA5Ahb3Fe+V0O01nwAIYxgEAANQMLnGAxMo4VMYwDkCFnYU7TSfAIjJiM0wnAAAA+IUEtqpCUuE+hnH4E8M4ABU4Lw4HcWYcAABAzeDcOEhSQS7bVPEnhnEAKjCMgyTFhcYpNjTWdAYAAIBf4EZVSFLx/ny5nBwJhAMYxgGowDZVSJwXBwAAUJPi69U3nQAr8HhUlJdrugIWwTAOQIU9xXtMJ8ACGsU2Mp0AAAACyKuvvqp27dopJiZGMTExOu200/T1119XvH706NGy2WyVfp166qmVnuP2229XQkKCGjRooPfee6/S6z744AMNGDCgVj6WI4lNTpXNxrfe4Nw4/MlhOgCAdeSV5plOgAU0iG5gOgEAAASQ+vXr64knnlDTpk0lSZMmTdKgQYO0aNEitW7dWpLUt29fTZw4seJtQkJCKv79888/1+TJk/Xtt99q7dq1GjNmjM4991wlJiYqNzdX9913n77//vva/aAO4QgOVkxysvKyOBIm0HFuHA5iPA+gQn5ZvukEWEC9KM41AQAAtWfAgAHq37+/mjdvrubNm+uxxx5TVFSU5syZU/GY0NBQpaamVvxKSEioeN3KlSvVs2dPde7cWSNGjFBMTIw2bNggSbrrrrt0/fXXq0EDsz9sjKmTZPT9wxpYGYeDGMYBqMAwDpKUFM4XiwAAwAyXy6X33ntPhYWFOu200ypePmPGDCUnJ6t58+a6+uqrlZ2dXfG69u3ba/78+dq3b58WLFig4uJiNW3aVLNmzdLChQt18803m/hQKomMTzSdAAsozGUYhwPYpgqgAsM4SFJSBMM4AABQu5YtW6bTTjtNJSUlioqK0ieffKLMzExJUr9+/TRkyBA1bNhQGzdu1P3336+zzz5bCxYsUGhoqPr06aNLL71UXbp0UXh4uCZNmqTIyEhdd911euutt/Tqq6/qpZdeUp06dfT6669XbH2tTVFx8bX+PmE9hfvYpooDbB6Px2M6AoB5Ho9HHd7pILfHbToFhs0eMVvRIdGmMwAAQAApKyvTli1blJubq48++kj/+c9/NHPmzIqB3KF27typhg0b6r333tNFF110xOcbN26c8vLyNGbMGJ133nlatmyZvvjiC7388stasGCBtz+cw8z/4lPNfOc/tf5+YS3Nu3XXgNvvMZ0BC2CbKgBJUkF5AYM4KNwRziAOAADUupCQEDVt2lSdO3fW448/rvbt2+uFF1444mPr1q2rhg0bau3atUd8/apVq/Tuu+/qkUce0YwZM9SjRw8lJSVp6NChWrhwofLza383SFQ8K+MglRQVmk6ARTCMAyCJLao4oE54HdMJAAAA8ng8Ki0tPeLr9u7dq61bt6pu3bpHfLtrrrlGzz77rKKiouRyuVReXi5JFf90u2v/B9CR8QnHfxD8XmkhwzgcwJlxACRJ+aUM4yAlRySbTgAAAAHm3nvvVb9+/ZSenq79+/frvffe04wZMzRt2jQVFBRo3Lhxuvjii1W3bl1t2rRJ9957r+rUqaMLL7zwsOf697//reTkZA0cOFCS1L17d40bN05z5szR119/rczMTMXFxdXyRyhFxjGMg1RaVGA6ARbBMA6AJFbG4QBWxgEAgNqWlZWlyy67TDt37lRsbKzatWunadOm6dxzz1VxcbGWLVumt99+W7m5uapbt6569eql999/X9HR0Yc9z/jx4zV79uyKl3Xt2lVjx47V+eefr+TkZE2aNKm2PzxJbFPFAayMw0Fc4ABAkvTtpm81duZY0xkw7NJWl+rurnebzgAAAPA7L14xROUlxaYzYJA9KEi3Tf7MdAYsgDPjAEhiZRwOSIpIMp0AAADgl1gdB7fLpTIGshDDOAB/YBgHSUoKZxgHAADgDZHxiaYTYAFsVYXEMA7AH7jAARLDOAAAAG+JimNlHKTSQi5xAMM4AH9gZRwktqkCAAB4S2QCK+MglRSxMg4M4wD8gWEcJFbGAQAAeAsr4yCxTRUHMIwDIIltqpBC7CGKCY0xnQEAAOCXIuMTTCfAAkpZGQcxjAPwB1bGITok2nQCAACA3wqNiDSdAAsoKeDMODCMA/AHhnGIDOYLRAAAAG8JCQ83nQALKC1iGAeGcQD+wDAOEcERphMAAAD8VnBYmOkEWEBZcbHpBFgAwzgAkqSCMn5CE+hYGQcAAOA9IWH84BOSq7zcdAIsgGEcALncLrk8LtMZMCzCwReIAAAA3sI2VUiSs7zMdAIsgGEcADk9TtMJsABWxgEAAHhPSBjDOLAyDgcwjAMgp5thHDgzDgAAwJuCw8Ikm810BgxjGAeJYRwAMYzDAayMAwAA8K4QLnEIeE6GcRDDOACSyt18QoAU6WAYBwAA4E1c4gCXk++9wDAOgFgZhwPCgznHBAAAwJuCWRkX8FxlXOAAhnEAxDAOB7BNFQAAwLu4URVOVsZBDOMAiG2qOIBtqgAAAN7FMA6uMr73AsM4AGJlHA5gZRwAAIB3hYQxjAt0nBkHiWEcADGMwwGcGQcAAOBdwQzjAp6L21QhhnEAxDAOB0Q4uN0LAADAm9imCmc5FziAYRwASU4PwzhIDrvDdAIAAIBfs9uDTCfAMFbGQWIYB0CsjMMBdhufEgAAALzJZreZToBhToZxEMM4AOI2VRxg51MCAACAd/HDz4Dn8bhNJ8AC+JsAACvjIEmy2/mUAAAA4E18vQWbWB0JhnEAxDAOB7AyDgAAwLtsNgYxAY8/AxDDOABiGIcD+OIQAADAu2ysjAt4fMkNiWEcADGMwwFc4AAAAOBd/PATNr7mhhjGAZDk9DCMAwAAALyOYRz4IwAxjAMgyeV2mU6ABXg8HtMJAAAAfs3j5ibNQMcFDpAYxgGQFGQPMp0AC3BzzToAAIBXMYyDODcQYhgHQFKwPdh0AizALb44BAAA8CZ2IoB1cZAYxgGQFGIPMZ0AC+CLQwAAAO/ysBMBnBsIMYwDICk4iJVxYJsqAACAt3nc/PAz0HGjLiSGcQAkhQSxMg4M4wAAALyNnQhgGAeJYRwAsU0VBzCMAwAA8C6P22U6AaYxjIMYxgEQK+NwQImrxHQCAACAXysvLTWdAMMYxUFiGAdA3KaKAwrLC00nAAAA+LWykmLTCTDNzhgGDOMAiJVxOIBhHAAAgHeVFzOMC3SOYBZCgGEcADGMwwEM4wAAALyLlXEIDgk1nQALYBgHgAscIEkqdvLFIQAAgDeVlXBGb6BzhDKMA8M4AGJlHA5gZRwAAIB3lRUXmU6AYcEM4yCGcQDEBQ44gGEcAACAd3FmHBxsU4UYxgEQK+NwQJGTn9QCAAB4E9tU4QgNM50AC2AYB0AOu0N2G38dBLqicoZxAAAA3uIsL5fb5TSdAcO4wAESwzgAf+ASB7BNFQAAwHvKOS8O4gIHHMAwDoAkzo0DwzgAAABvKivhvDhwgQMOYBgHQJIUHMQwLtBxZhwAAID3cF4cJC5wwAEM4wBI4hIHsDIOAADAm7hJFRIr43AAwzgAkqTQID4pBDoucAAAAPAetqlCYmUcDmAYB0CSFBkcaToBhhWUF5hOAAAA8FtlrIyDWBmHAxjGAZAkxYbEmk6AYYXlhSpxcpYJAACANxTl7TOdAAvgNlVIDOMA/CEuNM50AixgT/Ee0wkAAAB+qWBfjukEWEBIWJjpBFgAwzgAkqTYUFbGQdpdvNt0AgAAgF8q3MfKOEhhkdGmE2ABDOMASJLiwuJMJ8ACdhcxjAMAAPCGgn17TSfAAsKiGcaBYRyAP7BNFRIr4wAAALylMJeVcZDCoxjGgWEcgD+wTRUSK+MAAAC8pSCHlXGQwhjGQQzjAPyBlXGQWBkHAADgDS5nuYr355vOgGGhEZGyBwWZzoAFMIwDIIlhHA5gGAcAAFDzinJzTSfAAjgvDgcxjAMgiW2qOGBP0R7TCQAAAH6nYF+O6QRYADep4iCGcQAkMYzDAdnF2aYTAAAA/E5hLsM4SOGsjMMfGMYBkCRFB0cryMb5BYEurzRPZa4y0xkAAAB+hZVxkLi8AX9iGAdAkmSz2VgdB0nSnmK2qgIAANSkwn37TCfAAhjG4SCGcQAqMIyDJO0u4hIHAACAmlSwb6/pBFgA21RxEMM4ABW4URUSN6oCAADUNFbGQZLComJMJ8AiGMYBqMDKOEhSVlGW6QQAAAC/wso4SKyMw58YxgGowMo4SNKW/C2mEwAAAPyGx+3Wvl07TGfAAjgzDgcxjANQgWEcJGlT/ibTCQAAAH6jIGevnKWlpjNgARGxcaYTYBEM4wBUYJsqJGlz/mbTCQAAAH4jZyer4nBAdGId0wmwCIZxACowjIMk7SjYoVIXP70FAACoCft2bjedAAsICg5WeDQXOOAAhnEAKiSFJ5lOgAV45OHcOAAAgBrCMA6SFBWfIJvNZjoDFsEwDkCFupF1TSfAItiqCgAAUDMYxkGSohISTSfAQhjGAahQL6qe6QRYBMM4AACAmrFvB8M4SFEJnBeHPzGMA1AhOiRa0cFctw1uVAUAAKgJLme58rKzTGfAAlgZh0MxjANQSd0otqpC2pS3yXQCAACAz8vL2iWPx206AxYQzco4HIJhHIBK6kWyVRVsUwUAAKgJ+3buMJ0Ai4hOZGUc/sQwDkAlrIyDJO0r3ae80jzTGQAAAD6NyxtwENtUcSiGcQAqYWUcDmJ1HAAAwMnJ4fIG/IELHHAohnEAKmFlHA7iEgcAAICTw8o4SJLNZldUfILpDFgIwzgAlbAyDgexMg4AAODkMIyDJEXExckeFGQ6AxbCMA5AJayMw0Hr9q0znQAAAOCzivfnqzB3n+kMWEBUPOfFoTKGcQAqSQxLVGhQqOkMWMDyvctNJwAAAPisrA38YBMHRCdyXhwqYxgHoBKbzaa6kayOg5RVlKW9xXtNZwAAAPikrI3rTSfAImJTUk0nwGIYxgE4DMM4HLRy70rTCQAAAD6JlXE4KD6Vc7lRGcM4AIepF8UnCxywImeF6QQAAACfxDAOB8WlstgBlTGMA3AYVsbhIM6NAwAAqL7i/fnK351lOgMWwco4/BXDOACHYWUcDlq+h2EcAABAdbEqDgcFBQdzgQMOwzAOwGFYGYeDuMQBAACg+ri8AQfFJqfKZmf0gsr4EwHgMKyMw6G4xAEAAKB6WBmHgzgvDkfCMA7AYZIjkhVkCzKdAYvgEgcAAIDqYRiHgzgvDkfCMA7AYRx2h9Ki0kxnwCK4xAEAAKDquLwBh4pjGIcjYBgH4IiaxDUxnQCLWLGXlXEAAABVlc15cTgEK+NwJAzjABxR07imphNgEbsKd3GJAwAAQBXtYosqDsGZcTgShnEAjohhHA7FJQ4AAABVw3lxOCjI4VBMnSTTGbAghnEAjohtqjgU58YBAABUTdaGtaYTYBGxyamy2Rm74HD8qQBwRI1iG3GjKiosyF5gOgEAAMDy8vdkK393tukMWARbVHE0DOMAHFFIUIjSo9NNZ8AiFmcvVrmr3HQGAACApW1d8bvpBFhIQhrfT+HIGMYBOCrOjcNBxc5i/b6XLy4BAACOZdvyZaYTYCF10huaToBFMYwDcFScG4dDzds1z3QCAACApW1dsdR0AiykToMM0wmwKIZxAI6qaTwr4/AnhnEAAABHl787W3nZWaYzYBH2oCAl1m9gOgMWxTAOwFE1jWUYhz8tzl6sMleZ6QwAAABL2rqCLar4U1xqPTmCg01nwKIYxgE4qoaxDeWwO0xnwCJKXCX6fQ/nxgEAABwJwzgcii2qOBaGcQCOKtgerIbRHDqKP7FVFQAA4Mi2Lue8OPwpicsbcAwM4wAcE5c44FAM4wAAAA6Xl52l/N3ZpjNgIXUaNjKdAAtjGAfgmLjEAYdavJtz4wAAAP6KLar4q6QGrIzD0TGMA3BMTeMYxuFPpa5SLdvDF5sAAACHYosqDhUcFq6YpBTTGbAwhnEAjoltqvgrtqoCAABUxso4HKpOegPZbDbTGbAwhnEAjqlBdAMF27mSG39iGAcAAPCnvOxd2r9nt+kMWEhSA86Lw7ExjANwTA67QxmxGaYzYCGLsxer1FVqOgMAAMASti5nVRwqq8N5cTgOhnEAjotz43CoMneZFmQtMJ0BAABgCZuWLDSdAIup0yDDdAIsjmEcgOPKTMg0nQCLmbF1hukEAAAA41zOcm1cPN90BiyGbao4HoZxAI6rXVI70wmwmB+3/mg6AQAAwLhtK35XWXGx6QxYSFxKXYVFRZnOgMUxjANwXJmJmXLYHKYzYCG7Cndpdc5q0xkAAABGrV8w13QCLCa1aXPTCfABDOMAHFeYI0zN4puZzoDFsFUVAAAEuvULfjOdAIupyzAOVcAwDkCVsFUVf8VWVQAAEMh2b96o/N3ZpjNgMayMQ1UwjANQJQzj8FfL9y5XVlGW6QwAAAAjWBWHv7IHOZSc0cR0BnwAwzgAVdKuDsM4HO6nrT+ZTgAAADBi/XzOi0NlSQ0z5AgJMZ0BH8AwDkCVNIxpqNjQWNMZsBi2qgIAgEBUkLNXu9avMZ0Bi0ltwhZVVA3DOABVYrPZ1KZOG9MZsJjfdv6movIi0xkAAAC1asOi+aYTYEGcF4eqYhgHoMra12lvOgEWU+Yu05ydc0xnAAAA1Kr18zkvDoer27SF6QT4CIZxAKqsbVJb0wmwILaqAgCAQFJeUqItyxabzoDFhIRHKCGtvukM+AiGcQCqrG2dtrLJZjoDFvPTtp/kcrtMZwAAANSKzcsWy1leZjoDFpPapKlsNr5XQtUwjANQZbGhsWoY09B0BiwmpyRHy/YsM50BAABQK9YvYIsqDsflDagOhnEAqqVdUjvTCbCg6Zunm04AAADwOpfTyXlxOKLUZpwXh6pjGAegWtrW4dw4HO6rjV+xVRUAAPi9TUsWqnh/vukMWFBdVsahGhjGAagWVsbhSPYU79HcXXNNZwAAAHjVylkzTCfAgmKTUxSVkGg6Az6EYRyAamke31xhQWGmM2BBX2740nQCAACA15QWFWn9vDmmM2BB9VuxewjVwzAOQLU47A5lJmaazoAFTd88XcXOYtMZAAAAXrFu3q/cooojSm/NMA7VwzAOQLWxVRVHUuQs0oytM0xnAAAAeMXKn380nQCLqt+qjekE+BiGcQCqrX1Se9MJsKgvNnxhOgEAAKDGFeTs1ebfl5jOgAXFJCUrNjnFdAZ8DMM4ANXWOaWz7Db++sDhZm+frZySHNMZAAAANWrV7J8lj8d0BiyIVXE4EXw3DaDa4sLi1DKhpekMWJDT49S3m741nQEAAFCjVs5iiyqOLD2T8+JQfQzjAJyQU+ueajoBFsVWVQAA4E/2btui7I3rTWfAouozjMMJYBgH4IQwjMPRLNm9RFv3bzWdAQAAUCNWzpphOgEWFZ2YpLiUVNMZ8EEM4wCckE4pnRQaFGo6Axb15YYvTScAAACcNI/bzTAOR1U/k/PicGIYxgE4IaFBoeqQ3MF0BiyKraoAAMAfbF+9Uvm7s01nwKI4Lw4nimEcgBN2Wt3TTCfAojbnb9ayPctMZwAAAJwULm7AsbAyDieKYRyAE3ZqPc6Nw9F9svYT0wkAAAAnrKykWKt++cl0BiwqKiFR8an1TGfARzGMA3DCWiW0UlxonOkMWNQXG77Q/rL9pjMAAABOyKpZM1VWXGQ6AxZVvxWr4nDiGMYBOGF2m11dUruYzoBFFTuL9fn6z01nAAAAnJDF33IhFY6uQdv2phPgwxjGATgpp9ZlqyqO7r3V75lOAAAAqLYdq1dq9+aNpjNgYY3an2I6AT6MYRyAk3JaPS5xwNFtzNuouTvnms4AAACoFlbF4ViSGmQoKiHRdAZ8GMM4ACclPTpdaVFppjNgYe+vft90AgAAQJUV5eVqzZxZpjNgYRkdO5tOgI9jGAfgpLFVFcfy/ZbvlV2UbToDAACgSn7/cbpcTqfpDFhYow5sUcXJYRgH4KSdWo9hHI7O5XHpozUfmc4AAAA4LrfbpSXffW06AxYWEh6htBaZpjPg4xjGAThpp6aeKptspjNgYR+u/VDl7nLTGQAAAMe0cdEC5e9mRT+OrmHbDrIHBZnOgI9jGAfgpMWFxallQkvTGbCw7KJszdg6w3QGAADAMS359ivTCbC4jA6dTCfADzCMA1Aj2KqK43l/FRc5AAAA68rdtVMblywwnQGLa9SByxtw8hjGAagRXOKA4/lt12/akLvBdAYAAMARLf1+muTxmM6AhdVJb6joxDqmM+AHGMYBqBGdUzorwhFhOgMW98GaD0wnAAAAHKa8rFTLfvjWdAYsLoNbVFFDGMYBqBEhQSE6I+0M0xmwuM/WfabC8kLTGQAAAJWs+XWWSgr2m86AxbFFFTWFYRyAGnNOg3NMJ8DiCsoL9OGaD01nAAAAVPC43Zo39SPTGbC4kPBwpbXMNJ0BP8EwDkCN6VG/h4LtwaYzYHFvr3hbZa4y0xkAAACSpPUL5mrvti2mM2Bx6a3bK8jhMJ0BP8EwDkCNiQqJUre63UxnwOKyi7I1df1U0xkAAACSpLmf/c90AnxA405sUUXNYRgHoEaxVRVVMfH3iXK5XaYzAABAgNuyfKl2rl1tOgMWZ7PZ1bTLaaYz4EcYxgGoUb3Se8lu468WHNuW/Vs0ffN00xkAACDAzf2UVXE4vrSWmYqIiTWdAT/Cd8wAalRieKI6JHUwnQEf8J9l/zGdAAAAAljWhnXavHSR6Qz4gGbdTjedAD/DMA5AjWOrKqpi9b7VmrVtlukMAAAQoH5jVRyqwmZTs64M41CzGMYBqHHnNGQYh6r5z++sjgMAALUvZ/tWrZ0723QGfEBq46aKTqxjOgN+hmEcgBqXFpWmlgktTWfAByzIWqBF2WwPAQAAtWve1I8lj8d0BnxAs27dTSfADzGMA+AVZzc423QCfARnxwEAgNq0f89urfj5B9MZ8BHNunKLKmoewzgAXsG5caiqn7b9pDU5a0xnAACAADH/y0/kdrlMZ8AH1ElvqPi6aaYz4IcYxgHwiubxzdUguoHpDPiIN35/w3QCAAAIAMX5eVr6/TemM+AjuEUV3sIwDoDXsDoOVTVt0zRt3b/VdAYAAPBzC6d9LmdpqekM+AhuUYW3MIwD4DWcG4eqcnvcem3Ja6YzAACAHyvOz9PCr6aazoCPiEutq6SGjUxnwE8xjAPgNe2T2ispPMl0BnzE5+s/19p9a01nAAAAP/XbZx+qrLjIdAZ8BKvi4E0M4wB4jc1mU6/0XqYz4CM88ujFRS+azgAAAH4of0+2Fk/73HQGfAjDOHgTwzgAXnVOQ86NQ9XN2DpDC7MWms4AAAB+5tf/TZHL6TSdAR8RXSdJqU2bm86AH2MYB8CruqR2UVxonOkM+JDnFz5vOgEAAPiRvdu2aPnM701nwIe06n6WbDab6Qz4MYZxALwq2B6sfo36mc6AD1mUvUgzt840nQEAAPzErClvy+Nxm86AD8nswUV08C6GcQC8bmCTgaYT4GNeWPiCXG6X6QwAAODjdqxZpXXz55jOgA9JymisxPoNTGfAzzGMA+B1beq0UePYxqYz4EPW5q7VVxu/Mp0BAAB83M+T3zKdAB+TeUZP0wkIAAzjANQKVsehul5e9LLKXGWmMwAAgI/auGi+tq383XQGfIjNZldLhnGoBQzjANSKCxpfILuNv3JQdTsKd+h/a/5nOgMAAPggj9utn6dMMp0BH9OgbXtFxSeYzkAA4DtjALUiJTJF3VK7mc6Aj3l96esqLC80nQEAAHzMqtk/affmjaYz4GNasSoOtYRhHIBaM6DJANMJ8DE5JTl6e/nbpjMAAIAPcTnL9cv775jOgI9xhIaqWbfTTWcgQDCMA1BrejfsrcjgSNMZ8DFvLX9Le4v3ms4AAAA+Yul33ygvO8t0BnxM086nKiQs3HQGAgTDOAC1JtwRrt4NepvOgI8pchbp5UUvm84AAAA+oLhgv379cLLpDPigVmf2NJ2AAMIwDkCtGtR0kOkE+KCP1n6k3/dwGxoAADi2X957W8X7801nwMdExMYpo10n0xkIIAzjANSqzimdlRaVZjoDPsYjjx6d86hcbpfpFAAAYFFZG9ZpyXfTTGfAB7U47UzZg4JMZyCAMIwDUKtsNpvOb3y+6Qz4oOV7l+uTdZ+YzgAAABbkcbv1/ZuvSh6P6RT4ILaoorYxjANQ6wY2GWg6AT7q+YXPK7ck13QGAACwmN9nfKeda1ebzoAPSkhLV92mLUxnIMAwjANQ6xrGNFT7pPamM+CD8krz9OKiF01nAAAACyku2K+fJ79lOgM+qt05fUwnIAAxjANgBKvjcKI+XPOhlu9ZbjoDAABYxOz3/8ulDTghQcHByjzrHNMZCEAM4wAY0bdRX4UGhZrOgA/qUdxA4c++JY/bbToFAAAYlr1xvZZM/9p0BnxU827dFR4VbToDAYhhHAAjYkJidFb9s0xnwIcku6L08tKOuuGlTSr95AvlffSx6SQAAGDQwUsbPB5+QIcT0+6cvqYTEKAYxgEwZlDTQaYT4CNuzmqvV96wK/nLeZLLJUnKfvZZuXJzzYYBAABjlv/0g3asWWU6Az4qoV591c9sYzoDAYphHABjTq93upLDk01nwMK6l6RrypdNdMabC+TZm1Ppda7cXO1+gcscAAAIRCWFBfrp3YmmM+DD2nJxAwxiGAfAGIfdoSEthpjOgAUluiP04rKOuuWlrQpauvqoj9v33nsqWb6iFssAAIAVzP7gXRXn55nOgI8KCg5Way5ugEEM4wAYdUnzSxRsDzadAQu5IbutJrwRrNQv5klO57Ef7PFo58MPy/PH1lUAAOD/sjdt0OJvvjSdAR/WrOvpCo+OMZ2BAMYwDoBRdcLr6LyM80xnwAK6laZp8rRmOuuNRXLv2VvltytZskQ57/zXi2UAAMAqXE6nvnn1eS5twElpxxZVGMYwDoBxI1qOMJ0Ag+Ld4Xp+RSeNfXG7HItWntBz7H7uOZVu2lSzYQAAwHLmfvqBsjdtMJ0BHxZfN03prduZzkCAYxgHwLj2Se3VOrG16QwYcO3utnr9rTDV+2zu8bekHoOntFQ7772P7aoAAPix7M0bNefj901nwMdxcQOsgGEcAEtgdVxg6VJaT+9+21zn/GeRPFm7a+Q5ixcuZLsqAAB+yuV06pv/e05ufvCGkxDkcHBxAyyBYRwAS+jXqJ8SwhJMZ8DLYj1h+tfKTrrzpZ0KXlDzt6CyXRUAAP/E9lTUhKZdT1dETKzpDIBhHABrCAkK0UXNLjKdAS/62942+s9bEar/6VypvNwr74PtqgAA+B+2p6KmdOhzvukEQBLDOAAWMqzFMAXZgkxnoIZ1LKur/37XUue9vlieXdlef39sVwUAwH+wPRU1JblRE9VvyTnVsAaGcQAsIzUyVb3Se5nOQA2Jdofq6dWddO9LWQqZ93utvm+2qwIA4B/Ynoqa0qnfQNMJQAWGcQAsZWSrkaYTUANG57TWm+9Eq+HHc+UpK6v19892VQAAfB/bU1FTImLj1OL0HqYzgAoM4wBYSpfULmoa19R0Bk5Q27JkvfNjK/WfsESeHbuMtrBdFQAA38X2VNSkdr37yhEcbDoDqMAwDoDljGg5wnQCqinKE6In1nbSAy/vVeicZaZzKrBdFQAA38T2VNQUe5BD7c/tbzoDqIRhHADLuaDxBYoOiTadgSq6NDdTE/8bp8YfzpWntNR0TiWe0lLtvOdetqsCAOBD2J6KmtT81O6Kik8wnQFUwjAOgOVEBEdocNPBpjNwHK3LkjVpRqYGvrpUnm07TOccVfGiRdr7+r9NZwAAgCooLy3RVy8+zfZU1JjOF1xoOgE4DMM4AJY0osUI2WQznYEjCPM4NH59J437vxyF/7rUdE6V7H7pJRXNn286AwAAHMePb72uvdu2mM6An0hr2VopjTmPGtbDMA6AJaXHpOuMtDNMZ+Avhue11DvvJqrpB3PlKS4xnVN1bre2j71Dzn37TJcAAICjWDlrhpb98K3pDPgRVsXBqhjGAbCska1Gmk7AH1qW19FbP7fWRf/3uzxbt5vOOSHOrCztvPde0xkAAOAI9u3coen/fsV0BvxIfN16anJKV9MZwBExjANgWd3rdVfTOJaVmxTqCdIjGzvpkVfyFDFriemck1bw4wztfWuS6QwAAHAIZ3m5vnjhSZWXFJtOgR/p2G+gbHZGHrAm/mQCsCybzaar215tOiNgXZLfQv99L0kt3psrT7H/fHGc/eyzKl62zHQGAAD4w0//fVPZG9ebzoAfCYuMUpuevU1nAEfFMA6ApfXJ6KMG0Q1MZwSUZuWJmvhLWw19Zbk8m7aZzql55eXaftvtcu3fb7oEAICAt27er1o07XPTGfAz7c/rr+DQMNMZwFExjANgaUH2IF3V9irTGQEhxBOkcZs6afyrBYr8aZHpHK8q37ZNO+9/wHQGAAABLX93tqa9+rzpDPgZR2ioOvUfZDoDOCaGcQAsb0CTAUqNTDWd4dcu3N9c//0gRZlT5spTWGg6p1bsnzZN+95/33QGAAAByeV06ssXn1JpgHzdgdrT7uw+ioiJNZ0BHBPDOACWF2wP1ujWo01n+KXGzni9MaetRry8QtqwxXROrct6bLxKVq82nQEAQMCZ/cF/tWPNKtMZ8DNBDoc6D7zIdAZwXAzjAPiEi5tdrISwBNMZfsPhseuBzR315KtFiv7Rv7ekHounrEzbb7tdbn4qDwBArdm0ZKHmfvah6Qz4ocyzzlF0Qh3TGcBxMYwD4BPCHGG6PPNy0xl+4YKCppr8YT21mTxPngKGUGUbNmjXI4+YzgAAICAU5OzVVy8/azoDfshmt6vrwEtMZwBVwjAOgM8Y3nK4YkJiTGf4rIbOOP37t3a6/OXV0rpNpnMsJe/Tz7Rv8hTTGQAA+DVnebmm/utxFefnmU6BH2p5eg/FpdY1nQFUCcM4AD4jMjhSI1uNNJ3hcxweu+7d2lHPvFaq2B8WSh6P6SRL2vXYYyr87TfTGQAA+K3v/vOKdq7lnDh4gc2mroOHmK4AqoxhHACfcmmrSxXhiDCd4TP6FTbR5I/T1OG/8+TZv990jrW5XNp+y60q27rVdAkAAH5nwVefafmM70xnwE817Xyq6qQ3NJ0BVBnDOAA+JTY0VsNaDDOdYXn1nbF6fX57jXlpjbRmo+kcn+HKzdW2G26QiwsdAACoMZuWLNTMt98wnQE/dupFfH8A38IwDoDPubz15QoNCjWdYUlBsunu7R303Ovlipu+gC2pJ6B0zVrtuOtuedxu0ykAAPi8nB3b9cULT8rj4fMqvCOjfSelNG5qOgOoFoZxAHxOnfA6urDphaYzLOfcwkaa/EkDnfL2fHny8k3n+LSC77/XnpdeNp0BAIBPKy0q1GdPP6JSVpzDi7pdONR0AlBtDOMA+KQr21wph91hOsMS6rqi9erC9rr65fWyrVpvOsdv7Hn1VeV//bXpDAAAfJLb7dKXLzytnB3bTKfAj6W1bK36rdqYzgCqjWEcAJ9UN6quLmh8gekMo2we6c6dHfTi624lfrNAYltljdtxz70qWbHCdAYAAD5n1pS3tXHxfNMZ8HOnsioOPophHACfdVWbq2S3BeZfY2cXZWjK1Ax1eWu+PLl5pnP8lqekRFtvuFHOPXtMpwAA4DNW/Pyj5k39yHQG/Fxay0xldDjFdAZwQgLzu1gAfiEjNkPnNTzPdEatSnZH6pXFHfT3lzbIvmKd6ZyA4Ny5U9tuulnusjLTKQAAWN7OdWv07YQXTWcgAJwx/HLTCcAJYxgHwKdd2+7agFgdZ/NIt+1qr1detynp6/lsSa1lxYsWaddDD5vOAADA0gpy9uqzZx6Vq7zcdAr8XEb7TpwVB5/m/9/BAvBrTeOb+v3ZcWcVN9SULxvrtIkL5NmXazonYOV99JH2TpxoOgMAAEsqLynRZ888psJ9OaZT4O9sNlbFwecxjAPg827qeJNCg0JNZ9S4Ou5Ivby0o254aZPsy9aYzoGk7CefUt7nn5vOAADAUlxOp6Y+97h2refrFXhfs66nKaVxU9MZwElhGAfA56VGpmp4i+GmM2rUzVnt9NobQUr+cp7kcpnOwSF23HOvCn75xXQGAACW4HG79e2EF7Vp8QLTKQgANrtd3YdeZjoDOGkM4wD4havbXa3okGjTGSete0m6pnzVRGe8uVDuPWzzsCSnU9tuulnFy5aZLgEAwLifp0zSip9+MJ2BAJF5Zi8l1k83nQGcNIZxAPxCbGisrmpzlemME5bojtALv3fULS9tVdCS1aZzcByeoiJtveZalW7aZDoFAABj5n/xieZN/ch0BgJEkMOh0y4ZaToDqBEM4wD4jUszL1VKRIrpjGq7PrudXnszRHU/nyc5naZzUEWuffu09aq/yZm923QKAAC1bsXPP2rmO2+YzkAAaXtOH8Um+97X+sCRMIwD4DdCg0J1fYfrTWdUWbfSNE2e1kw931goz+49pnNwAsq3b9eWa66Ra/9+0ykAANSaTUsW6ptXnzedgQDiCA3VqRf51xnRCGwM4wD4lUFNBqlJbBPTGccU6w7Tcys6auyL2+VYtNJ0Dk5S6apV2nbjjXKXlppOAQDA63auW6Opz46XmwumUIs69h2gyLh40xlAjWEYB8CvBNmDdEunW0xnHNU1e9roP2+FK+0ztqT6k6Lf5mrHXXfJwzcmAAA/lrNjmz55YpzKS0tMpyCAhEZEquvAS0xnADWKYRwAv9OrQS91Su5kOqOSzqX19O63zdX734vlyeKMMX+0/5tvlfXoY6YzAADwioKcvfpo/AMq3p9vOgUBpvMFFyosKsp0BlCjGMYB8Eu3nXKb6QRJUqwnTM+u7KS7Xtqp4AUrTOfAy/ZNmaI9//eq6QwAAGpUSWGBPn5inPJ3Z5tOQYCJSkjUKRcMNp0B1DiGcQD8UofkDjo7/WyjDVfuba3/TIpU+qdzpfJyoy2oPbtffFH7prxnOgMAgBpRXlqiz55+VLs3bzSdggB05ogrFBwaZjoDqHEO0wEA4C23nHKLZm6bKZends/x6lhWV2N/jlXI3CXy1Op7hlXseugh2YKDFXfJxaZTAAA4YeVlpfr06Ue0beXvplMQgFKbNFOrM3uZzgC8gpVxAPxW49jGGtx0cK29v2h3qJ5a00n3vpSlkLl80Rrodt5/v3I/+cR0BgAAJ8RZVqbPnnlMW5YtMZ2CANXz8qtls9lMZwBewTAOgF+7vsP1Cgvy/tL2K/a11pvvRCvjo7nylJV5/f3BB3g82nnvfcqbOtV0CQAA1eIsL9fUZ8dr85KFplMQoJqfdqbSWmaazgC8hmEcAL+WHJGsSzMv9drzty1L1js/ttL5ry2RZ8cur70f+CiPRzv+cY/yvvzSdAkAAFXicpbr8389ro2L55tOQYByBIeox8jRpjMAr2IYB8DvXdnmSsWFxtXoc0a4g/XE2k564JUchc5ZVqPPDT/jdmvHnXcp/+uvTZcAAHBMLqdTXzz3pDYsnGs6BQGs0/mDFJucYjoD8CqGcQD8XnRItP7e/u819nyjcltp0rvxavzhXHlKSmrseeHH3G5tv+NO5X/FQA4AYE0uZ7m+eO4JrZs/x3QKAlhEbJy6DR5iOgPwOoZxAALC8BbD1Sy+2Uk9R+uyZE2amalBry6TZ9uOGipDwHC5tP2OO5T3+eemSwAAqOTAGXGPM4iDcd2HXaaQ8AjTGYDXMYwDEBCC7EG6p+s9J/S2YR6HHlvfSeP+L0fhs5fWcBkCitutHXfdrdxPPzVdAgCApIO3pj7K1lQYl5TRWG17nWs6A6gVDOMABIwuqV3UN6Nvtd5mWF5LvTM5Uc0+mCtPMVtSUQM8Hu28517lfvSR6RIAQIArLyvVp08/ok2LF5hOAdTzsr/JZmdEgcDgMB0AALXpjs53aOa2mSp2Fh/zcS3K6+ieOamKmLVYnlpqQwDxeLTzvn/K43IpfuhQ0zUAgABUXlqiT596RFt+X2I6BVCTzqeqQZt2pjOAWsPYGUBASYlM0TXtrjnq60M9QXp4Yyc9+kqeImYtrr0wBKRdDzyovRMnms4AAASYkoICfTT+QQZxsIQgh0NnXXal6QygVtk8Hg+LPgAElHJXuS6ceqE252+u9PJL8lto2Jf58mzaaqgMgSrhyiuVfMdYtmYAALxuf85efTT+Ae3duvn4DwZqwakXDVP3YZeZzgBqFV/1Awg4wUHBurvL3RX/3aw8UW/ObquhryxnEAcjct58UzvvuVee8nLTKQAAP5azfaum3H8HgzhYRmxKqrpdOMx0BlDrODMOQEA6s/6ZOjftbHX/ZZ9aT10hT+Ei00kIcHmffSbnvn2q//xzskdEmM4BAPiZHWtX6ZMnHlJJwX7TKUCFc8b8XY6QENMZQK1jmyqAgFW2bZs2XDBAnhJuSYV1hLVrp/QJr8kRH286BQDgJzYsmq/P//W4nGWlplOACs26na6Bt99rOgMwgm2qAAJWSP36qvP3a01nAJWULF2qzSNHqXz7DtMpAAA/sHzm9/r0qYcZxMFSQsLD1Wv00S9VA/wdwzgAAS3xyisV0qiR6QygkrKNG7VpxAiVrFljOgUA4MPmTf1I0/7vOXncbtMpQCWnDxml6IQ6pjMAYxjGAQhotpAQpT74gOkM4DDO7GxtHnWpiubPN50CAPAxHrdbM97+j356d6LpFOAwSQ0bqWO/AaYzAKMYxgEIeJGnnqqYCy4wnQEcxr1/v7ZceZX2f/ed6RQAgI9wOcv11Sv/0oIvPzWdAhzOZlPvv10vuz3IdAlgFMM4AJCUcvddskdHm84ADuMpK9O2m2/Rvg8+MJ0CALC4suIiffLUI1o1a4bpFOCI2p59nuo1b2U6AzCOYRwASHIkJSnplltMZwBH5nZr1wMPKvtf/+LcHwDAEe3fs1vvP3SPNi9ZaDoFOKLwmFidOXK06QzAEhjGAcAf4keOUFjbtqYzgKPa+/q/te2GG+QqKDCdAgCwkO2rV+i/996m7I3rTacAR9Vj1BiFR7ETBZAYxgFABZvdrnrjH5MtONh0CnBUBT/O0KZhw1W2ebPpFACABfz+43R98NC9KsrLNZ0CHFX9Vm3U+qxzTGcAlsEwDgAOEdqsmepcf53pDOCYytav18ahw1T466+mUwAEuO3bt+vSSy9VYmKiIiIi1KFDBy1YsKDi9c8884xSUlKUkpKi5557rtLb/vbbbzrllFPkcrlqO9svuF0u/TjpdX3z2gtyu5ymc4CjCgoOVu+/3SCbzWY6BbAMm8fj8ZiOAAAr8Tid2jhkqEpXrjSdAhxbUJBS/nG3Ei67zHQJgAC0b98+dezYUb169dJ1112n5ORkrV+/XhkZGWrSpImWLVumbt266YsvvpDH49EFF1ygefPmqU2bNiovL1fXrl31+uuvq0uXLqY/FJ9TXLBfXz7/pDYvW2w6BTiuM4Zfrm4XDjWdAVgKK+MA4C9sDofqjX9MYrsqrM7lUtZj47Xzn/fLXVZmusZnPP744+rSpYuio6OVnJyswYMHa/Xq1ZUe4/F4NG7cONWrV0/h4eHq2bOnli9fXukxt99+uxISEtSgQQO99957lV73wQcfaMCAAV7/WACTnnzySaWnp2vixInq2rWrMjIydM4556hJkyaSpJUrV6pdu3Y6++yzdc4556hdu3Za+ccPup5++mn16NGDQdwJ2LttiybfezuDOPiElMbN1GXQxaYzAMthGAcARxDWqpUS/3aV6QygSnI//FBbRo+Rc+9e0yk+YebMmbrhhhs0Z84cTZ8+XU6nU+edd54KCwsrHvPUU0/pX//6l15++WXNmzdPqampOvfcc7V//35J0ueff67Jkyfr22+/1ZNPPqkxY8Zo7x+//7m5ubrvvvv0yiuvGPn4gNoydepUde7cWUOGDFFycrI6duyof//73xWvb9u2rdasWaMtW7Zo8+bNWrNmjdq0aaN169bprbfe0qOPPmqw3jetXzBXk/85VrlZO02nAMcV5HCo73W3yG4PMp0CWA7bVAHgKDxlZdp48SUqXbvWdApQJY66dZX+yssKy8w0neJTdu/ereTkZM2cOVM9evSQx+NRvXr1dOutt+ruu++WJJWWliolJUVPPvmkrr32Wj311FNauHBhxYq4lJQUffHFF+rSpYuuueYatWrVSrfddpvJDwvwurCwMEkHVokOGTJEc+fO1a233qoJEybo8ssvlyS99tprFWfF3Xbbbfr73/+u3r1768Ybb5TT6dS4ceMUHBysF154QT169DD2sfiCuZ99qJ+nTJL49g0+4vSho3TaxSNMZwCWxDAOAI6heNkybRo+QuJwafgIW1iY6j3xuGL69jWd4jPWrVunZs2aadmyZWrTpo02bNigJk2aaOHCherYsWPF4wYNGqS4uDhNmjRJ33zzjW644QbNmzdPGzZsUK9evbR582YtX75ct956q3777TcFBbESAP4tJCREnTt31uzZsytedvPNN2vevHn69SgXzLz11lv67LPP9Nprr6lFixaaN2+etm3bplGjRmnjxo0KDQ2trXyfUV5Wqm8nvKRVs2aYTgGqLDmjiUaN/5fsfC4EjohtqgBwDOFt2ypxzGjTGUCVeUpKtP3W25T9/AvyMEQ+Lo/Ho9tvv11nnHGG2rRpI0natWuXpAOr3Q6VkpJS8bo+ffro0ksvVZcuXTR69GhNmjRJkZGRuu666zRhwgS9+uqratGihbp3737YWXOAv6hbt64y/7ISt1WrVtqyZcsRH79nzx49/PDDeumll/Tbb7+pefPmatasmXr16qXy8nKtWbOmNrJ9Sv7ubL0/7h8M4uBT7EEO9bnuFgZxwDEwjAOA46hz000KadTIdAZQLXtfe01bxoxReVaW6RRLu/HGG7V06VJNmTLlsNfZbLZK/+3xeCq9bNy4cVq3bp2WLVumCy+8UOPHj1fv3r0VHBysRx99VLNmzdLf/va3iu16gL/p3r37YZefrFmzRg0bNjzi42+99Vbddtttql+/vlwul8rLyyte53Q65eIHCJWsm/er3r77JmWt57gM+Jaug4coOaOx6QzA0hjGAcBx2ENDVfexxyQ7f2XCtxTNnaeNgy9UwcyfTKdY0k033aSpU6fqxx9/VP369StenpqaKunPFXIHZWdnH7Za7qBVq1bp3Xff1SOPPKIZM2aoR48eSkpK0tChQ7Vw4ULl5+d77wMBDLnttts0Z84cjR8/XuvWrdPkyZP1+uuv64YbbjjssdOnT9fatWsrXte1a1etWrVKX3/9tV5//XUFBQWpRYsWtf0hWJKzvFw/TJygz555TKWHXCwD+IKkBhk69aJhpjMAy+M7SwCogohOHRV/6SjTGUC1ufbt09Zrr1XWU0/Lc8gqlEDm8Xh044036uOPP9YPP/ygRn9Z+dqoUSOlpqZq+vTpFS8rKyvTzJkzdfrppx/x+a655ho9++yzioqKqrTi5+A/3W63Fz8iwIwuXbrok08+0ZQpU9SmTRs98sgjev755zVqVOXPl8XFxbrxxhs1YcIE2f/4wVZaWppeeukljRkzRo899pgmTZqk8PBwEx+GpezbtUNT7r9Di6Z9bjoFqDZ7UJD6XHerghwO0ymA5XGBAwBUkbu4WBsGDVb5Uc7CAawurH17pf3rWYWkpZlOMer666/X5MmT9dlnn1VaiRMbG1sxDHjyySf1+OOPa+LEiWrWrJnGjx+vGTNmaPXq1YqOjq70fK+//rq+/fZbffjhh5KkuXPn6txzz9U333yjr7/+Wh9++CHnxgE4rlW/zNT0f7+ssuJi0ynACel24VCdMZyjGYCqYBgHANVQ+NtcbRk9WuKvTvgoe3S06j72qGLOO890ijF/PQvuoIkTJ2r06NGSDqx2e+ihhzRhwgTt27dP3bp10yuvvFJxycNBWVlZ6tatm2bPnq169epVvPzhhx/WCy+8oOTkZE2aNEldu3b12scDwLeVl5box7f+rWU/fGM6BThhifUb6LInX1CQI9h0CuATGMYBQDXtevgR7Zs82XQGcFLiR45U8t13yR4aajoFAALWnq2b9cULT2nv1s2mU4ATZg8K0oiHn1Zq0+amUwCfwTAOAKrJXVKijRdforL1602nACcltGVLpT3/nEIzMkynAEDAWfbDt/ph4gQ5y0pNpwAnpfvQS3XqxcNNZwA+hWEcAJyAklWrtGnoMHnKykynACfFFhGhug8+qNhBA02nAEBAKC0q0nf/eUWrfplpOgU4aWktW2vYg4/LZuduSKA6GMYBwAna+9Zbyn7iSdMZQI2IHTxIKffeq6CYGNMpAOC39mzN0dRn79G+ndtNpwAnLTQiUpc//ZJi6iSbTgF8DuNrADhBCVdcocgzzjCdAdSIvE8/04YBA1Xw00+mUwDA7zjLXJr90Tp9MH6xoutkms4BakTvv13PIA44QayMA4CT4Ny9WxsGDZYrJ8d0ClBjYi+6SCn/uJtVcgBQA3ZtyNP3k1YqN6tIkmQLciss5BPt28GlDfBdrc7spf43jjWdAfgsVsYBwElwJCWp7vjHTGcANSrv449ZJQcAJ+ngariPn15QMYiTJI/LrqDwfgoKDjFYB5y42OQUnXPldaYzAJ/GMA4ATlJ0z56KHznSdAZQo5xZWdp6zbXace99cuXnm84BAJ+ya0Oe3n9snhZN36Ij7UMqyIlQWqv+tR8GnCSb3a7+N92h0IgI0ymAT2ObKgDUAHdpqTZdcolK164znQLUOEdKiuo+8rCievQwnQIAluYsc2nu5xu1+LsjD+EO5ZFHcQnTlbX+99qJA2rAaZeM0OlDRpnOAHwewzgAqCElq9do09Ch8pSWmk4BvIKz5ADg6P56NlxVhEeWqmjfJJUWFnixDKgZdZu31PCHnpTdHmQ6BfB5bFMFgBoS1qK5ksdykC38F2fJAcDhjnY2XFUUF4YqudEgL5UBNSckPELn33QHgzighrAyDgBq2JZrrlHhTz+bzgC8Kvaii5R8151yxMWZTgEAY3auz9UPb6+q9hDur+qk/qptK3+toSqg5vW74XZl9jjbdAbgNxjGAUANc+7Zow2DBsu1d6/pFMCrguLilHT77Yq75GLZ7Cy2BxA4ivLLNPvjdVo9Z1eNPJ8jxCWbc4r2782ukecDalKrM3qq/013mM4A/ArDOADwgoKfftLWa/+u457eDPiBsLZtlfrA/Qpv29Z0CgB4ldvl1u8zt+u3qRtUVuKq0eeOT8nVrtVvyeNx1+jzAicjIS1dl45/TsFhYaZTAL/CMA4AvCTr8SeUM2mS6QygdthsihtyiZJuu02O+HjTNQBQ43aszdVP763R3u3eu2whqf7v2rrsW689P1AdwaFhGjX+X0qs38B0CuB3GMYBgJd4nE5tvmK0ihcsMJ0C1JqguDgl3XqL4oYMkS2IQ54B+L7CvFLN/ni91vxWM1tSj8Vmdys87DPlbN/o9fcFHE//m+5QqzN6ms4A/BLDOADwovLsbG28+GK5du8xnQLUqrA2rZV6//0Kb9/edAoAnBCXy61lM7Zp7ucbVV7DW1KPJTq+SPu2vSlnWVmtvU/gr9qf20+9/3aD6QzAbzGMAwAvK5o3T5vHXCk5naZTgFoXd8klSrr9NjkSEkynAECV7Vibq5lTVitnR6GR95+cvlFbln5i5H0DKY2bavjDT8sRHGw6BfBbDOMAoBbsfXOisp96ynQGYIQ9NlbJt9yiuGFD2boKwNIKc0s1++N1WjM3y3SK4hK/0651S01nIMCERUbp0ideUGxyiukUwK8xjAOAWrLtllu1/5tvTGcAxoS2aqXksbcr6owzTKcAQCXlJU4t+WGbFn67uVa3pB5LWGSZSnLfVklBvukUBAqbTYPv/KeanNLNdAng9xjGAUAtcRUUatPQoSrbsMF0CmBURLeuSr79ds6TA2Ccy+nWilk7NP+rTSrKt94ZbXXqZWvb8v+azkCA6DLwYvUYNcZ0BhAQGMYBQC0qXb9em4YMlbuoyHQKYFz0uecq6dZbFNqkiekUAAHG4/Zo7fws/TZ1o/L3FJvOOaY6dX/TthW/mM6An6vfqo2GPPCY7HaOkwBqA8M4AKhl+V9/re233W46A7AGu11xF12kOjdcr+C6dU3XAAgAm3/fqzmfrteebQWmU6rEEeyS3f2e8veYP8cO/ikiNk6XPfmiouK5bAmoLQzjAMCArMcfV86kt01nAJZhCwlR/KWXKvGaq+WIizOdA8AP7dqQp18/Xa8da3JNp1RbXHKestZOlMftNp0CP2Oz23XJfY+qQZt2plOAgMIwDgAM8Did2nzFaBUvWGA6BbAUe1SUEq/+mxIuu0z2iAjTOQD8QM7OQs35bL02Lt5jOuWkJKev0Jal00xnwM/0uPRKdRlwkekMIOAwjAMAQ8qzs7Xx4ovl2u3b3xwA3uBISlKd669X3CUXyxYcbDoHgA/an1OieV9s1Kpfd8ofvuOx2TyKiPhMe7dxERRqRuaZvdTvxrGmM4CAxDAOAAwqmjdPm8dcKTmdplMASwpOT1fi365S7ODBsoeGms4B4APy9xZr0bdbtPKXnXI5/WtbZ1R8sXK3vSlnWanpFPi4uk1baOi4J+TgB16AEQzjAMCwvRPfUvaTT5rOACzNkZykhCuuUNzw4QqKjDSdA8CC9m4v0MJvt2jtvCx53P77LU5y+iZtWfqx6Qz4sKj4BI16/HkubAAMYhgHABaw4557lffJJ6YzAMuzx8QoYdQoxV9+mRzx8aZzAFjArg15WvjNZm1cEjjHPsQlfq9d65aYzoAPcgSHaNi4J5TatLnpFCCgMYwDAAvwlJVpy5VXqWj+fNMpgE+whYUpbsgQJV45RsF165rOAWDAlhU5Wjhtk7b74O2oJys0okxl+e+oeH+e6RT4mH43jlXmmb1MZwABj2EcAFiEc98+bRo2XOVbtphOAXyHw6HYgQOU+Le/KbRxY9M1ALzM7fZow+LdWjhts3Zv2W86x6jEeru1ffk7pjPgQzoPuEhnXXql6QwAYhgHAJZSumGDNg0fIXd+vukUwLfYbIo+71wlXnONwlu3Nl0DoIa5nG6t+W2XFn67RblZRaZzLKNOvXnatvxn0xnwAY06dtaFdz0gm91uOgWAGMYBgOUU/PKLtl77d25YBU5Q5OmnK+GKKxR5RnfZgoJM5wA4CSUF5Vr5604t/WGrCvZxg+hfBQW7FOT5QPm7d5pOgYUl1KuvkY/9S6EREaZTAPyBYRwAWNC+KVO066GHTWcAPi24fn3FDx+u2Isv4rIHwMdkbcrX7zO3a+38LLnK3aZzLC02KV+710+U2+UynQILCo2M1KjH/qX4ummmUwAcgmEcAFjUrkcf077//td0BuDzbCEhiunXT/EjRii8Q3vTOQCOorzMpXXzs/X7zG3K3hzY58FVV3L6Sm1Z+rXpDFiMzW7XRf8Yp4z2nUynAPgLhnEAYFEel0tb/36dCn/mLBigpoRlZip+xAjFnN9fdrbrAJaQm12k5T9t18rZO1VaxBENJ8TmUVTk59qzdZ3pElhIryuuVqf+g0xnADgChnEAYGGuggJtHjFCpWv54hqoSfboaMVeeKHiRwxXaKNGpnOAgON2ubX5971aNnO7tq7IMZ3jFyJji5W/a6LKS0pMp8ACOvUfpF5XXG06A8BRMIwDAIsr27Zdm4YOlSuHb1YAb4g47TTFjxih6LN7yeZwmM4B/FpRfplW/LJDy3/azoUMXpCcvkVbln5oOgOGNet2ugbc+g9uTgUsjGEcAPiAooWLtGX0aHnKykynAH7LkZykmAsuUOwFFygsM9N0DuA3nOUubVq2V2t+26XNv++V28W3H94UX+dH7Vy7yHQGDKnXIlND/vmoHCEhplMAHAPDOADwEXlTp2rHXXebzgACQkjTpoodOECx51+g4LR6pnMAn+Nxe7R9ba7W/LZL6xdmq6yEmz5rS2hEucr2v6Pi/FzTKahl8XXTNOKRpxUeHWM6BcBxMIwDAB+S/cIL2vvqa6YzgIAS3rmzYgcOUEyfPgqKjTWdA1janm0FWjN3l9bOy2IbqkGJ9fZo+/K3TWegFkXExmnEI88oLiXVdAqAKmAYBwA+Zsd99ynvo49NZwABxxYcrKizzlLMwAGKOuss2UNDTScBlrA/p0Rr52dpzW+7tHd7oekc/CGp3nxtXf6T6QzUAkdoqIY98LhSmzY3nQKgihjGAYCP8bhc2nbTzSr44QfTKUDAskdHK6ZvX8UMuEARnTtzSDYCTmlRudYv2q01v+3S9rW5Et9RWE5QsEsO/U952TtMp8CLbHa7Bt1xn5qc0s10CoBqYBgHAD7IXVKiLX/7m4rnLzCdAgQ8R3Kyonr1UvTZZyvi1G6smIPfKsgt1aale7Rp6R5tXZUjt5NvI6wuts5+7d4wUW6X03QKvOScq65Xh/P6m84AUE0M4wDAR7ny87X50stUumaN6RQAf7BFRCiqe3dFnd1LUWedJUdCgukk4KTs3rJfm5bt0cYle7R7y37TOTgByemrtWXpl6Yz4AVdBl6sHqPGmM4AcAIYxgGADyvPztbmESNVvn276RQAf2WzKbxDB0Wdfbaiz+6l0CZNTBcBx+Uqd2v7mn3a+McKOC5h8AM2j6Kjv9Tuzfzwzp+07H6W+t90h2w2m+kUACeAYRwA+LiyTZu0aeQouXJyTKcAOIbghg0V3aunos4+WxGdOsnmcJhOAiRJxQVl2vz7Xm1aukdblueovNRlOgk1LDK2RPm7Jqq8pNh0CmpAeut2uvjehxTkCDadAuAEMYwDAD9Q/PtybbniCrkLucUO8AX22FhFnXmGIrudqohuXRXSoIHpJAQQl9OtrE352rEmV1tW5GjX+lzxHYH/S6q/VVuX/c90Bk5S3aYtdMn9jyokLNx0CoCTwDAOAPxE4a+/aus118pTXm46BUA1OVJTFdG1qyK7dVVE164KSU83nQQ/4nK6lb05X9vX5Gr76n3atT5PznK36SwYEJ80UzvXcPmTr6rTIEPDHnxCYVFRplMAnCSGcQDgR/KnTdP228dKbr7JAnyZo27disFcRNeuCqlf33QSfIjL5Vb2pv3asWaftq/J1c71uXKW8XkBUkiYU86id1SUt890CqopLrWuhj/0lCLj4k2nAKgBDOMAwM/kTJ6srIcfMZ0BoAYFp9WrGMxFdO2qkLQ000mwEE95uUqWr1DW/jAtXVSsnesYvuHoEuvu1faVb4u9yb4jKrGORjz0lGKSkk2nAKghDOMAwA/tfvEl7fm//zOdAcBLgurUUXjr1gpr3VphbQ78MzglxXQWaoGnvFyl69erZPlylSxfoeLff1fpqlXylJVp/9mXap77NNOJ8AFJaQu19fcZpjNQBeExsRo27gklpnF8AeBPGMYBgJ/aOW6cct9733QGgFpSaUDXOlNhbdowoPNxlQZvvy9X8fLlFYO3I3El1dfM1vfUciV8UZDDJYf9Q+VlbTedgmMIjYjUkAfGK6VRE9MpAGoYwzgA8FMet1s77rpb+V98YToFgCGHDehatZIjNVU2u910Gv7CXVqqso0bqzx4O5oFF72uvBwu8sHxxdTZrz0bJsrtcppOwRE4QkN1yb2PKK1lpukUAF7AMA4A/JjH5dKOO+9U/ldfm04BYBG2sDCFNGyokIwMhTRqpJCMDIVmZCgko6GC4uJM5/k1j8ul8p07VbZpU+VfGzepfMeOGjnDa9PIf2nDjtAaqEUgSE5foy1L+aGd1QQ5HBp85/3K6HCK6RQAXsIwDgD8nMfp1Paxd2j/N9+YTgFgcUFxcQcGdI0yDgzrMjIUktFIIQ3SZQ8LM53nM5w5OYcM2jaqbNPmA/++eXO1V7pV177zb9CiQlbSoKo8io75Srs3rzYdgj/Y7HZdcOvdat6tu+kUAF7EMA4AAoDH6dT2227T/unfmU4B4ItsNjmS6siRlCRHcnLlfx7674mJsjkcpmu9xl1UJOfu3XJm75Zz926VZ2f/8d9//HP3bjmzsuQuKDDWWNask2alXWXs/cP3RESXqmD3RJUVF5lOgc2mPn+/RW169jZdAsDLGMYBQIDwlJdr2y23quCHH0ynAPBXNpuCEhMV/JdBnT0mRkGRkbJHRsoeEXHgn5ERlf87IqJWEj1Op9xFRXIXFv75z4O/iorkLjzwMmfO3j+GbtkH/pmdLXdhYa00nqzZ509QSSHngKHqkupv19ZlXPpklM2mc668Th3O62+6BEAtYBgHAAHEU1ambTffooIZM0ynAEBlNtshg7rIioGdLThYstkPXDphtx3496CgA/8um+RxS26PPG635HHL43JLf/y7u7ik8sCtqEiekhLTH6nXrRn5irbtMF0BX5OQ/LN2rJ5nOiMw2WzqfdV1an8ugzggUDCMA4AA4y4r07Ybb1ThTz+bTgEAeMHui+7Rspz6pjPgY0LCnHIV/1eFuTmmUwKLzabeV12v9uf2M10CoBZxrz0ABBh7SIjqv/SSIrtzMDAA+KOoLQtNJ8AHlZU4FFt3oGSzmU4JHDabzr36BgZxQABiGAcAAcgeGqr6//eKIk471XQKAKCGhS37SUEOBiqovpxdCUpv3ct0RmCw2XTu1Teq3Tl9TZcAMIBhHAAEKHtoqNJffVUR3bqZTgEA1CBbabESE/kyHydmb1Y7xaWmm87wbzabzrv2JrU7p4/pEgCG8FkaAAKYPSxM6a+9qojOnU2nAABqUIL2mE6Aj3I77QqJ6q8gh8N0il+y2ezqc+3NatvrPNMpAAxiGAcAAc4eHq70Ca8p/JRTTKcAAGpITNYK0wnwYfl7I5WWyc2eNc1ms+u8v9+sNr3ONZ0CwDCGcQAA2SMjlT5hgiK6djWdAgCoAeHLfpQ4Ng4nIXtrEyVntDKd4TdsNrv6XHeL2vTsbToFgAUwjAMASJKCoiKV/u/XFdWzp+kUAMBJCtq7U7HxbDPEybCp3H22QiMiTYf4PJvNrr7X36rWZ51jOgWARTCMAwBUsIeGqv7LLynm/PNNpwAATlKdsALTCfBxxftDldxkgOkMn2YPClK/G25TZo+zTacAsBCGcQCASmwOh+o9/ZTihg8znQIAOAmxuetNJ8AP7N5WT2ktOcbiRDiCQzTg9nvV6sxeplMAWAzDOADAYWx2u+qOG6fEq/9mOgUAcIIiV882nQA/sT/vVEXG1zGd4VNCwiN00b0PqWnnbqZTAFgQwzgAwFEljx2rpNtvN50BADgBwesXKzySc+Nw8spKHIpNvUCycStIVYTHxGroA+OVntnWdAoAi2IYBwA4pjrXXK3UBx/gC3AA8EF1YstNJ8BP5OxKUHobzj07nujEJA1/6EmlNG5qOgWAhTGMAwAcV/yIEar31JOSgxUWAOBL4ku2mU6AH9m7s63i6zYwnWFZ8fXqa/jDTymhXn3TKQAsjmEcAKBKYgcMUP0XX5QtNNR0CgCgiqI2LTCdAD/idtnliOinoOBg0ymWk9yoiYY/9KRi6iSZTgHgAxjGAQCqLPrsXkqfMEH2iAjTKQCAKgj9/Wc5gvmSHzVnf06k0lr1N51hKfUz22joA48rIibWdAoAH8FnZgBAtUSe2k0N3pqooFi+4AQAq7OVlSgxkTM/UbOytjZWcuNM0xmW0PiUrrr4nocVyg8qAVQDwzgAQLWFt2unhv99R47kZNMpAIDjSPDsNp0AP2OTTWXlZys0Msp0ilGtzuylQWPvkyMkxHQKAB/DMA4AcEJCmzVTxvvvKbRZM9MpAIBjiN71u+kE+KGSghAlNx5oOsOYTv0Gqt8Nt8seFGQ6BYAPYhgHADhhwXXrquGUyYo8/XTTKQCAowhfNkNipyq8YPe2VKW1OtV0Rq2y2ezqdcXV6jX6Gtls/B8LwIlhGAcAOClBUVFKf32CYi++yHQKAOAIgnKyFJ/gMJ0BP5W/r5uiEgLjBlFHaKgGjr1XnfoPMp0CwMcxjAMAnDSbw6F6jz2mpFtuNp0CADiCxND9phPgp8pLgxSdPEA2m39/axkRG6dhDzyupl0CayUgAO/w778xAQC1qs5116ne00/LFhxsOgUAcIjYfetMJ8CP7cuKU3qbc0xneE1CWrpGPvqsUps2N50CwE8wjAMA1KjYAReowZtvKCg21nQKAOAPEatmmU6An9u9s7Xi6zU0nVHj0lu304hHnlZscorpFAB+hGEcAKDGRXTpooZTpig4Pd10CgBAUvDG3xURxblx8B6Py66g8H4KCg4xnVJjMs/spYvvfUhhkVGmUwD4GYZxAACvCG3cSBnvv6fw9u1NpwAAJNWJKTOdAD9XkBOhtFb9TWfUiFMvHqF+N45VkIOjNwDUPIZxAACvcSQkqMGktxR97rmmUwAg4MUVbzWdgACQtbWRUpq0MZ1xwuxBDvW9/jZ1HzrKdAoAP8YwDgDgVfawMKW98LwSxowxnQIAAS1q43zTCQgANtlUWtpTYVHRplOqLTQyUhff+5Ban+W/l1EAsAaGcQAAr7PZ7Uq5+y6lPHC/FBRkOgcAAlLI77PkCOHLf3hfSWGIkjIGms6olvi69TTi4WfUoA3HawDwPj4bAwBqTcLIkWrwn38rKC7OdAoABBy7s0x1EkxXIFDs3p6itFanmc6okkYdTtGo8c8psT4XTwGoHQzjAAC1KvK005Tx4YcKbdXKdAoABJwEd7bpBASQvJyuik5MNp1xTF0GXaIL735QoRGRplMABBCGcQCAWhdSP00Zk99VzPnnm04BgIASvfN30wkIIM6yIEUlXSCb3XrfdjpCQ3X+zXeqx8jRluwD4N/4WwcAYIQ9PFxpzz6j5Lvv5hw5AKgl4Ut/lM1mugKBZF9WnNLb9DadUUlMUrJGPPy0WnY/y3QKgADFMA4AYFTimNGcIwcAtcSet0dxiQ7TGQgwu7dnKiGtkekMSVJ6ZluNGv+ckjMam04BEMAYxgEAjKs4R65lS9MpAOD36oTkm05AgPG47QoK7SNHSIjRjg59LtAl/3xUETGxRjsAgGEcAMASQuqnKWPKZM6RAwAvi8lZazoBAWj/vgjVa2nmc3xQcLDO+/vNOufKv8vO0RgALIBhHADAMirOkbvzTs6RAwAviVw5y3QCAlT21kZKbdquVt9nZHyChj7wuNr2Oq9W3y8AHAvDOACA5SRedaUa/Pt1BcWyjQQAappj8wpFxnBuHMwoKemhsKiYWnlf9Vpk6tLxz6lec47BAGAtDOMAAJYUefrpyviIc+QAwBvqRJWaTkCAKikMUZ2GA737Tmw2dRl4sYY9+LiiEhK9+74A4AQwjAMAWFZI/frKmDJZsYMGmU4BAL8SV7TVdAIC2J4dyaqf2d0rzx0WFa0L73pAPUaN4Xw4AJbFMA4AYGn28HDVe/IJ1X3icdkiIkznAIBfiNow13QCAlzuns6KqZNSo89Zt3lLXfbki2rcqUuNPi8A1DSGcQAAnxA3eLAafci2VQCoCSHLf1FwKN8KwBxneZAiEi+QzV4zfw5POX+whj34hGLqJNXI8wGAN/EZGADgM0IbN1LG++8pbsRw0ykA4NNsLqfqJJiuQKDLzY5VepuTu+U0NDJSg+74p3pe/jcFObiYBIBvYBgHAPAp9tBQ1X3wQaW98ILs0dGmcwDAZ8W7skwnANq9rZUS05uc0NumNmmmy554UU27nFrDVQDgXQzjAAA+KabPeWr0yScKa9/OdAoA+KTo7UtNJwDyeGyS4zwFh4ZV6+069Ruo4Q8/pdjkmj13DgBqA8M4AIDPCqmfpoz//lcJV10p2WymcwDAp4QvnSEb3w3AAgpzw1W3xflVemxoRKQG3n6veo2+RkGOYC+XAYB38OkXAODTbMHBSrnzTqW/PkFBCRyABABVZd+fo/hEztiCNWRvbajUpu2P+Zi6TVvo0ideULNup9dSFQB4B8M4AIBfiDrzTDX65BNFdOtmOgUAfEaiI890AlChuPhMhUfHHvZym92uUy8eruEPP6W4lFQDZQBQsxjGAQD8RnBKshpMfFN1brpRCgoynQMAlhe7d43pBKBCaVGIEhoMrPSy2OQUDXvwCXUfeqnsfG4H4CdsHo/HYzoCAICaVjRvnnb84x6Vb99uOgUALMuZ3kI/NbnZdAZQSZ1687Rt+c/KPLOXzr7yOoVGRJhOAoAaxTAOAOC3XAWFyn7yCeX+70PTKQBgWb8NnKDCfKfpDKBCZKxNpw0KUYvTu5tOAQCvYBgHAPB7BT/9pJ3/vF/O7GzTKQBgOetHvqDNO7jIAdaQ3ipeZ1+eqaj4UNMpAOA1nBkHAPB7UT16qPHnUxVzwQWmUwDAcuILN5tOAOQIsavH8OYacHMHBnEA/B4r4wAAASX/m2+166GH5MrJMZ0CAJZQ2vZM/ZI43HQGAlhKoxj1Hp2puBTOhgMQGBjGAQACjnPvXu0aN077p39nOgUAjPMEOTSr90sqL3WbTkGAsQfZ1Ll/hk7plyG73WY6BwBqDcM4AEDAyvvsM+16bLzc+fmmUwDAqJUj/k87d/JtAWpPfGqEeo/JVHLDGNMpAFDrODMOABCwYgcNUuPPpyryjDNMpwCAUQnOLNMJCBA2u00deqdr6H1dGMQBCFisjAMAQNK+995X9lNPyV1UZDoFAGpd0emDNSfkXNMZ8HNJDaLV69KWSmoQbToFAIxiGAcAwB/Ktm3TznvuVdG8eaZTAKBWuaPi9FPX8XK7+dYANc8RGqRuAxqp3dnpnA0HAGIYBwBAJR6PR7n/+5+yn/2X3Hl5pnMAoNYsGTJBe3c7TWfAzzRsk6geI5orJjHcdAoAWAZnxgEAcAibzab4oUPV5KsvFTNggOkcAKg1iY5c0wnwI+ExITrvb611wY3tGcQBwF+wMg4AgGMonD1bOx96SOWbt5hOAQCvyj93jOaXdzadAV9nkzJPr6vTLmqqsMhg0zUAYEkM4wAAOA53aan2vPaacv7zhjzl5aZzAMArnGlN9VOz20xnwIfFp0ao56gWqtcs3nQKAFgawzgAAKqodP167XzwQRXPX2A6BQC8Yu6g11WQxw8dUD12h02n9GmoU/pmKCiYk5AA4HgYxgEAUA0ej0d5H32k7KefkYsLHgD4mQ0jX9CmHQ7TGfAhdZvGqueolkqoG2k6BQB8BsM4AABOgDMnR9lPPqm8z6aaTgGAGpMz8DYtzm9qOgM+IDTCodMubKLMM+rJZrOZzgEAn8IwDgCAk1A4Z452PThOZZs3m04BgJNWmnm6fkkeZToDFtf0lGSdMbSZImNDTacAgE9iGAcAwElyl5Vp72sTtPc//5GnrMx0DgCcMI89SL+c94rKSlymU2BBMUnhOnNoM2W0rWM6BQB8GsM4AABqSNnWrcp+6mntnz7dlbODHgAAHEZJREFUdAoAnLDVI/5P23fyLQL+FBLuUOf+GWrXq76CHFzQAAAni2EcAAA1rHDuXGU9/oRKV640nQIA1ZZ1yf1avifVdAYswGa3qfUZ9dR1YCOFR4WYzgEAv8EwDgAAL/C43cr7+GNlP/+CXHv2mM4BgCorOnWA5oT1NZ0BwxpkJuj0S5oqsV6U6RQA8DsM4wAA8CJXQaH2TpignEmTOE8OgE9wR8bop25PyO3m24RAFJ8aoe6XNFPDNommUwDAbzGMAwCgFpRt23bgPLlvvzWdAgDHtXToBO3JdprOQC0KiwxW1wGN1PrMerIHcS4cAHgTwzgAAGpR0bx52vX44ypdwXlyAKxr2/DHtWZXjOkM1AJ7kE1te9VXl/4ZCo0INp0DAAGBYRwAALXM43Yr75NPlP3883Lt5jw5ANazv/cVmufsajoDXtaofR2dfnFTxSVHmE4BgIDCMA4AAEPchYXaM+F15bz1FufJAbAUZ90M/dTiTtMZ8JI66VHqfkkz1W8RbzoFAAISwzgAAAwr27Zde15+WXmffy65XKZzAECSNG/w69qfW246AzUoIiZE3QY1VqvT6spmt5nOAYCAxTAOAACLKF2/XrtffOnAJQ98egZg2MaRz2njjhDTGagBjhC72p+drk59GyokzGE6BwACHsM4AAAspmTFCmW/8IIKZ/5kOgVAANs34BYt2t/cdAZOgiPYrtY90tSpT0NFxDBYBQCrYBgHAIBFFS1cpN3PP6+iuXNNpwAIQGWtumlWyuWmM3ACgoLtan1GPXXq21CRsaGmcwAAf8EwDgAAiyucPVvZz7+gkqVLTacACCAem02z+76q0mLOsvQVQQ67Ms+op1P6NlRkHEM4ALAqhnEAAPiI/T/8oN0vvKjS1atNpwAIEKtHvqLtO0xX4HjsDpsyT6+nU/o1/P/27jw8qvpQ4/g7k2SykDBZSUYIhJAASRSC4q2gsigUaGkB6VOsKcu1tYug2McqcnsFnqq39rYoD1rAIosiBX0UAsUCRixJFLwEaDSBIEnYd7JCMtmYmftHdGxI1IBhTib5fp7nPJM558yc98w/Sd75/c5RcFiA0XEAAN+AMg4AAC/icrl06R//UMlLL6v+2DGj4wDo4C786L+VX2IzOga+gtnHpKShNt02Lk4h4ZRwAOAtKOMAAPBCLodDlenpuviXv+jKmbNGxwHQQdX8x/e1O+h7RsfAVcxmk/oPidFt34tT14hAo+MAAK4RZRwAAF7MVV+vik2bVPbqCtUfP250HAAdjDMwWFlD/1dOB/8ytAdms0n97ojR4O/FqWskJRwAeCvKOAAAOgCX06nL772n0r8uV+3Bg0bHAdCB5E1ZpovnuYmDkUxmk/r9R7QGfz9O1qggo+MAAL4lyjgAADqYqg8/Uuny5bL/3/8ZHQVAB3D6/v/RZ+esRsfolExmk/reHq3B34tTaDQlHAB0FJRxAAB0UDWffKKS5ctVteMDiV/3AK7T5XunKsdxh9ExOhVfP7P6DbEp9d5YSjgA6IAo4wAA6ODqiotVuvxVVb77rtTQYHQcAF7G0a2nMpPnGB2jUwgI9tMtw7vrlhE9FBhiMToOAOAGoYwDAKCTaDhzRqWrVqvi7bflqqkxOg4AL7J30l91qZwy/0axRgUqdVSs+g+xydfiY3QcAMANRhkHAEAnc6W8XOVr1qhs7d/krKw0Og4AL3DsgRd15AwjtdpadO+uGjS6p+JTo2Qym4yOAwDwEMo4AAA6KWd1tSrefltla/+mhhMnjI4DoB0rHz9L/6pKMjpGh2Aym9R7YKRS742VLSHU6DgAAANQxgEA0Mm5nE5V7cxU+RtrVL1rt9FxALRD9X0H68Ob/tPoGF7NEuirpDttGjCih7pGBhodBwBgIMo4AADgVldUpLI33lDlps1cVw6Am8tk0u5xS1VrdxgdxetYuwVqwMhY9R8SI0uAr9FxAADtAGUcAABoxlFZqYq331H5unVqOHXK6DgA2oHDD/xFp84YncJ79OgfpoH3xKrXLREymbgeHADgS5RxAADgK7mcTlVlZal83TpVZ38oOZ1GRwJgkIuT/0t5pd2NjtGu+QX4KPH2aA0Y0UMR3YONjgMAaKco4wAAQKvUnzyp8vXrVfnOBjkqKoyOA8DDam4fq91dfmB0jHYpJt6q5LtsSrgtWn7+PkbHAQC0c5RxAADgmjjr6nTpH1tV/re/qTYvz+g4ADzE5R+orLsXynGFfx8kKTDET/2+E6Pku25SWEwXo+MAALwIZRwAALhutYcOqXLjRlVu/rsc5eVGxwFwg+VPWaYL5zvvTRxMJik2OVxJQ29S79RI+fiYjY4EAPBClHEAAOBbczU06PLOnarcmK6qrCzpyhWjIwG4Ac5MeU6HzocaHcPjQsID1H+oTUlDbQoJDzA6DgDAy1HGAQCANnWltFSVm/+uyg0bVFdYaHQcAG2oamSa9riGGh3DI8y+JvUeEKXku2yK7R8uk5k7ogIA2gZlHAAAuGFq8vIbp7G++66clZVGxwHwLTkiuyvz5v8yOsYNFWbrouQ7bep3R4wCgy1GxwEAdECUcQAA4IZz1ter6oMPVLFhg6o/2iU5Ou81pwBvt+++V1RZ1rGmovv6+yjxtm5KvusmxcRbjY4DAOjgKOMAAIBHNZy/oMrNm1S5MV31R44YHQfANTr+wEIVn/H+66b5+JnVMzlcCYO7Ke6WSFkCfI2OBADoJCjjAACAYWoPHtSlbdt1afs2NRw/YXQcAK1Q8f2Z2l+dbHSM6+Lja1bPlHAl3NZNcQMo4AAAxqCMAwAA7QLFHOAdGhIGKbvHz42O0Wo+vmbFJjcWcL0HRMoSSAEHADAWZRwAAGh3agsKdGnrNoo5oJ3a9f1XVFvdfq8bZ/Y1qWfS5wXcwCgKOABAu0IZBwAA2rXaggJd2rZdl7dtU/3x40bHASCp8IGXdfKMyegYTZh9TIr9ooBLjZI/BRwAoJ2ijAMAAF6DYg5oHy7eN1d5ZT2MjiGzj0k9+jcWcPGpkfIP8jM6EgAA34gyDgAAeKXaQ4d0+f0dqsrKUm1ensSfNIDH1N72Xe0KmWDIsX0tZnXvF6b41CjFp0YpoAsFHADAu1DGAQAAr3eltFRV2dmqzspS1Ue75KysNDoS0KG5LAHKGv6iHA1OjxwvLCZIPVMi1DMlXDclhsrXz8cjxwUA4EagjAMAAB2Ky+FQzb/+parMLFVlZanus8+MjgR0SAfuX6bz5xw35L39AnzUo1+Yu4DrGhF4Q44DAIARKOMAAECH1nDunKqyslSVmSX77t1y2u1GRwI6hLNTnlXB+bA2e7+I7sHqdXO4eiZHKCbBKh8fc5u9NwAA7QllHAAA6DRc9fWy793rHjVXf/So0ZEAr1U1/H7tMd193a/3D/JVj/7h6pkSrl4pEeoS6t+G6QAAaL8o4wAAQKdVf+q07Dk5su/ZI3tOjhpOnTI6EuA1HOHRyhw4T2rtfxMmqVvPkMapp8nhio63ymw23dCMAAC0R5RxAAAAn2s4c0b2nBxV79kje85eNZw4YXQkoF3bP/mvqihtaHmjSQq3dZEtIVQ3JVoV2z9cgSEWzwYEAKAdoowDAAD4Cg3nzn05cm5PjuqPHzc6EtCuHH9goYrPBEiSzGaTImODZUsM1U0JjUtAsJ/BCQEAaH8o4wAAAFqp4fyFxnLu84KOa86hMzMFBurKA79Rdb87dVNCqKLju8oS4Gt0LAAA2j3KOAAAgOt0paRENZ9+qpq8PNXm5as2P1+OigqjYwE3hF/37gpMTVXgoEEKTE1VQP9+MvlSvgEAcK0o4wAAANpQ/cmTqs3PV01evmrz8lR74ICcdrvRsYBrYrZaFdC/vwJSUhSYOlCBqany69bN6FgAAHQIlHEAAAA3kMvpVP2RI+5yriY/X3WHDslVX290NECS5GuzKSAp6fOlvwKSkuTXvbvRsQAA6LAo4wAAADzM1dCg2sOHG6e2HjyouqIi1RUVyXnpktHR0JH5+MjSO04BScnu4s2/f3/5hoUZnQwAgE6FMg4AAKCdaLhwQfVFRaorKm4s6IobH52VlUZHg5fxsVpl6d1b/v36NRZvyUny79tX5oAAo6MBANDpUcYBAAC0c1cuXvx89NwXJV2R6guL5KCk69RM/v6y9OwpS1xc49K79+ePcYx2AwCgHaOMAwAA8FJXSkpUV1Sk+uMn1HDqlBpOn1bD6dOqP31ajpISo+OhLZjN8ouJuapsa3z0u8kmk9lsdEIAAHCNKOMAAAA6IGdtrRrOnGla0p067f7ZUVZmdESocXSbb3S0/KKj5RsTI7+YaPlGx8jPFiO/HrGyxPWS2d/f6JjoIOx2u6ZOnaqMjAxdvnxZ5eXlslgszdalpqbqscce02OPPWZ05DY1Y8YMVVRUKD093egoADo5X6MDAAAAoO2ZAwLkHx8v//j4Frc77Xb3KLqGM2d05eJFOUrLdKWsVI6SUl0pK5OjtFTO6moPJ+84TIGB8uvWTb42W/OyLabxuW94uNEx0UGcPHlSCxYs0NatW1VSUiKbzaaJEydq3rx5ioiIkCS99tprys7O1q5duxQZGSmr1aply5Y1W5eTk6MuXbp4JPeIESOUmZkpSbJYLOrVq5dmzJihOXPmyMfHxyMZrtfq1av12GOPqaKiwugoALwMZRwAAEAnZA4Kkn9iovwTE792P2ddnRylpbpSWiZHWePjldKSL4u70rLG4q6sTM7qajlraiSHw0Nn4SEmk8whIfKxWpsuoVaZ3c9D3et8rFb5RkTIJzTU6OToJI4cOaIhQ4aob9++WrdunXr37q0DBw7oiSee0NatW/Xxxx8rPDxcxcXFSkpK0s033+x+bUvroqKiPJr/oYce0u9//3vV1tZqy5YtevTRR+Xj46M5c+Y027e+vl4Wi8Wj+QCgrTFNFQDQ4ZhMJm3cuFETJ040Osp1GTFihFJTU7Vo0SKjowDXxVlbK6fd3ljO2e1yVtsbH+3VTdfb7XJ9/uiststZWys5HHK5nJLTJTmdLf/scMjlalzXuP7Ln2UyyeTvL5O/RWaLRSaL/5fP/f2bPv+K7eYuQU1KN3PXrlybDe3auHHjlJ+fr8OHDyswMNC9/ty5c+rTp4+mTZumgoIC9wg0SRo+fLgkNVu3c+dOxcXFNZmmWlFRoSeffFKbNm1SZWWlEhIS9Pzzz2v8+PGSpF27dumpp55STk6OIiMjNWnSJP3hD39o1ei6ln7njR49WlVVVdq9e7d7aul3vvMdvfTSS7JYLDp27Jjy8vI0e/Zs7d69W0FBQZo8ebJeeOEFBQcHS5IcDoeeeOIJrVy5Uj4+PvrZz36m8+fPq7Ky0j1N9erzlKTU1FRNnDhRCxYs+NpzDw4O1siRI5ucy/z587VgwQItWbJEL774ok6ePCmr1aq7775bb7/99jd+FgA6D0bGAQC8zowZM/Taa681Wz9mzBht27atzY/n6XJvw4YN8vPz88ixgBvBHBAgc0CAxBRM4IYrKyvT9u3b9dxzzzUp4iQpJiZGaWlpevPNN1VYWKi5c+cqPz9fGzZscI8ue+qpp5qt+3dOp1Pjxo3T5cuX9cYbb6hPnz46ePCgewppXl6exowZo2eeeUYrVqzQxYsXNWvWLM2aNUurVq26rnMKDAxUeXm5+/mOHTvUtWtXZWRkyOVyyW63a+zYsbrjjjuUk5OjCxcu6Oc//7lmzZql1atXS5IWLlyolStXasWKFUpOTtbChQu1ceNG3XPPPa3O8XXnPnToUC1atEjz5s3TZ599JkkKDg7W3r179eijj2rNmjUaOnSoysrKlJ2dfV2fA4COizIOAOCVxo4d2+yPfH8DL3Le0NDQZgVaOAUGAKCVCgsL5XK5lJSU1OL2pKQklZeXy+FwKCgoSBaLRTExMe7tLa37d++//7727NmjgoIC9e3bV5IU/2/XovzTn/6kBx54wD26LDExUYsXL9bw4cO1dOlSBQQEtPpcnE6n3nvvPW3fvr3JaLUuXbro1VdfdZeFy5cvV01NjV5//XX36LuXX35ZP/jBD/THP/5R0dHRWrRokebOnavJkydLkpYtW6bt27e3Oktrzt1qtcpkMjX57E6cOKEuXbpo/PjxCgkJUa9evTRo0KBrOi6Ajo/x9gAAr+Tv76+YmJgmS1hYWIv7nj59WlOmTFFYWJgiIiI0YcIEHTt2rMk+K1euVEpKivz9/WWz2TRr1ixJjVNYJGnSpEkymUzu5wsWLFBqaqpWrlyp+Ph4+fv7y+Vy6cSJE5owYYKCg4PVtWtX/fjHP9b58+fdx/nidWvWrFFcXJysVqvuv/9+Xb582b3PiBEjmvwTUldXpyeffFKxsbHy9/dXYmKiVqxYIUkqLy9XWlqaoqKiFBgYqMTExOseiQAA6Hi+uCqRyWS6rtfn5uaqR48e7jLqavv27dPq1asVHBzsXsaMGSOn06mjR4+26hhLlixRcHCwAgIC9MMf/lA//elPNX/+fPf2W265pcmovYKCAg0cOLDJNNg777xTTqdTn332mSorK3X27FkNGTLEvd3X11eDBw9u03NvyejRo9WrVy/Fx8dr6tSpWrt2rex2+zUdF0DHRxkHAOjQ7Ha7Ro4cqeDgYGVlZenDDz9UcHCwxo4dq/r6eknS0qVLNXPmTP3iF79QXl6eNm/erISEBElSTk6OJGnVqlU6e/as+7kkFRUV6a233tI777yj3NxcSdLEiRNVVlamzMxMZWRkqLi4WFOmTGmSqbi4WOnp6dqyZYu2bNmizMxMPf/88195DtOmTdP69eu1ePFiFRQUaNmyZe5r4jz99NM6ePCgtm7dqoKCAi1dulSRkZFt9vkBANq3hIQEmUwmHTx4sMXthw4dUlhY2HX/brh66uvVnE6nfvnLXyo3N9e9fPLJJyosLFSfPn1adYy0tDTl5uaquLhYNTU1WrFihYKCgtzbr772nMvl+spy8VpKR7PZrKsvod7Q0OD++ZvOvSUhISHav3+/1q1bJ5vNpnnz5mngwIHccRVAE0xTBQB4pS1btrgLqS/MmTNHTz/9dJN169evl9ls1quvvur+A33VqlUKDQ3Vzp079d3vflfPPvusHn/8cc2ePdv9uttvv13Sl3eUCw0NbTaFp76+XmvWrHHvk5GRoU8//VRHjx5VbGysJGnNmjVKSUlRTk6O+z2dTqdWr16tkJAQSdLUqVO1Y8cOPffcc83O8/Dhw3rrrbeUkZGhUaNGSWo6RebEiRMaNGiQ+9v+L0buAQA6h4iICI0ePVpLlizRb37zm2Y3cFi7dq2mTZt23SPjBgwYoFOnTunw4cMtjhC79dZbdeDAAfeXWNfDarVe0+uTk5P12muvqbq62l3UffTRRzKbzerbt6+sVqtsNps+/vhjDRs2TJJ05coV7du3T7feeqv7faKionT27Fn380uXLjUZzfd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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "category_counts = Counter()\n", + "for item in sample:\n", + " category_counts[item.category]+=1\n", + "\n", + "categories = category_counts.keys()\n", + "counts = [category_counts[category] for category in categories]\n", + "\n", + "plt.figure(figsize=(12, 10))\n", + "plt.pie(counts, labels=categories, autopct='%1.0f%%', startangle=90)\n", + "\n", + "# Add a circle at the center to create a donut chart (optional)\n", + "centre_circle = plt.Circle((0,0), 0.70, fc='white')\n", + "fig = plt.gcf()\n", + "fig.gca().add_artist(centre_circle)\n", + "\n", + "# Customize the chart\n", + "plt.title('Categories')\n", + "\n", + "# Equal aspect ratio ensures that pie is drawn as a circle\n", + "plt.axis('equal') \n", + "\n", + "# Display the chart\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "38d31aa3-8a3a-4626-9c50-f55635ca6d18", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sizes = [len(item.prompt) for item in sample]\n", + "prices = [item.price for item in sample]\n", + "\n", + "# Create the scatter plot\n", + "plt.figure(figsize=(15, 8))\n", + "plt.scatter(sizes, prices, s=0.2, color=\"red\")\n", + "\n", + "# Add labels and title\n", + "plt.xlabel('Size')\n", + "plt.ylabel('Price')\n", + "plt.title('Is there a simple correlation?')\n", + "\n", + "# Display the plot\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "f8cfa1af-aadd-416b-b0f9-2bb5fd4d2263", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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owIABV6yx2+0KDg6uts/lcmnBggVavHixHn30UUnSBx98oNDQUK1atUqxsbHat2+fMjIylJ2dre7du0uS3n33XUVFRWn//v0KCwtTZmam9u7dq4KCAjmdTknS7NmzlZiYqFdeeUV+fn5KS0vT+fPntWjRItntdkVEROjrr7/WnDlzlJycLJvNVu0Yy8rKVFZWZm6XlpbWep4AAEDjccNf87Vu3ToFBgaqY8eOSkpKUnFxsdmXk5OjiooKxcTEmG1Op1MRERHatGmTJGnz5s1yOBxm8JKkHj16yOFwuNVERESYwUuSYmNjVVZWppycHLMmOjpadrvdrebo0aM6fPjwZcc/ffp083Snw+FQaGjo9U0IAAC4qd3Q4WvAgAFKS0vTmjVrNHv2bG3btk19+/Y1V5KKiork5eUlf39/t9cFBQWpqKjIrAkMDKyy78DAQLeaoKAgt35/f395eXldsebi9sWa6kyaNEkul8t8FBQU1GYKAABAI9Ogpx2vZvjw4ebziIgIdevWTW3bttWKFSs0dOjQy77OMAy304DVnRKsi5qLF9tf7pSj9ONp05+ulgEAgFvbDb3ydamQkBC1bdtWBw4ckCQFBwervLxcJSUlbnXFxcXmqlRwcLCOHTtWZV/Hjx93q7l09aqkpEQVFRVXrLl4CvTSFTEAAIDLuanC14kTJ1RQUKCQkBBJUmRkpDw9PZWVlWXWFBYWKi8vTz179pQkRUVFyeVyaevWrWbNli1b5HK53Gry8vJUWFho1mRmZsputysyMtKs2bBhg9vtJzIzM+V0OtWuXbt6O2YAANC4NGj4OnPmjHJzc5WbmytJOnTokHJzc5Wfn68zZ85o4sSJ2rx5sw4fPqx169Zp0KBBCggI0BNPPCFJcjgcGjVqlFJSUrR69Wrt3LlTzzzzjLp06WJ++7FTp07q37+/kpKSlJ2drezsbCUlJSkuLk5hYWGSpJiYGIWHhyshIUE7d+7U6tWrNXHiRCUlJcnPz0/Sj7ersNvtSkxMVF5enpYtW6Zp06Zd8ZuOAAAAl2rQa762b9+uPn36mNvJycmSpBEjRmj+/PnavXu33n//fZ06dUohISHq06ePPvroI/n6+pqvef3119WkSRMNGzZM586d0yOPPKJFixbJw8PDrElLS9P48ePNb0UOHjzY7d5iHh4eWrFihcaMGaNevXrJ29tb8fHxmjVrllnjcDiUlZWlsWPHqlu3bvL391dycrI5ZgAAgJqwGdyi3VKlpaVyOBxyuVzmqhoAWGmKbUqNa1ON1HocCXDzqMu/3zfVNV8AAAA3O8IXAACAhQhfAAAAFiJ8AQAAWIjwBQAAYCHCFwAAgIUIXwAAABYifAEAAFiI8AUAAGAhwhcAAICFCF8AAAAWInwBAABYiPAFAABgIcIXAACAhQhfAAAAFiJ8AQAAWIjwBQAAYCHCFwAAgIUIXwAAABYifAEAAFiI8AUAAGCh6w5fpaWl+vjjj7Vv3766GA8AAECjVuvwNWzYMM2bN0+SdO7cOXXr1k3Dhg3T3XffrSVLltT5AAEAABqTWoevDRs26KGHHpIkLVu2TIZh6NSpU/qv//ovvfzyy3U+QAAAgMak1uHL5XKpRYsWkqSMjAz94he/ULNmzTRw4EAdOHCgzgcIAADQmNQ6fIWGhmrz5s06e/asMjIyFBMTI0kqKSlR06ZN63yAAAAAjUmT2r5gwoQJevrpp3X77berbdu26t27t6QfT0d26dKlrscHAADQqNQ6fI0ZM0YPPPCACgoK1K9fP91224+LZ3feeSfXfAEAAFxFrcOXJHXr1k3dunVzaxs4cGCdDAgAAKAxq3X4MgxD//M//6O1a9equLhYFy5ccOtfunRpnQ0OAACgsal1+Hr++ef117/+VX369FFQUJBsNlt9jAsAAKBRqnX4+uCDD7R06VI99thj9TEeAACARq3Wt5pwOBy688476+TNN2zYoEGDBsnpdMpms+njjz82+yoqKvSHP/xBXbp0kY+Pj5xOp37961/r6NGjbvvo3bu3bDab2+Opp55yqykpKVFCQoIcDoccDocSEhJ06tQpt5r8/HwNGjRIPj4+CggI0Pjx41VeXu5Ws3v3bkVHR8vb21utW7fW1KlTZRhGncwFAAC4NdQ6fE2ePFlTpkzRuXPnrvvNz549q65du5o/V/RT33//vXbs2KE///nP2rFjh5YuXaqvv/5agwcPrlKblJSkwsJC8/HOO++49cfHxys3N1cZGRnKyMhQbm6uEhISzP7KykoNHDhQZ8+e1caNG5Wenq4lS5YoJSXFrCktLVW/fv3kdDq1bds2zZ07V7NmzdKcOXOuex4AAMCto9anHZ988kl9+OGHCgwMVLt27eTp6enWv2PHjhrva8CAARowYEC1fQ6HQ1lZWW5tc+fO1QMPPKD8/HzdcccdZnuzZs0UHBxc7X727dunjIwMZWdnq3v37pKkd999V1FRUdq/f7/CwsKUmZmpvXv3qqCgQE6nU5I0e/ZsJSYm6pVXXpGfn5/S0tJ0/vx5LVq0SHa7XREREfr66681Z84cJScnc+0bAACokVqHr8TEROXk5OiZZ56x/IJ7l8slm82m5s2bu7WnpaXpgw8+UFBQkAYMGKDU1FT5+vpKkjZv3iyHw2EGL0nq0aOHHA6HNm3apLCwMG3evFkRERFm8JKk2NhYlZWVKScnR3369NHmzZsVHR0tu93uVjNp0iQdPnxY7du3r3bMZWVlKisrM7dLS0vrYioAAMBNqtbha8WKFfr888/14IMP1sd4Luv8+fN64YUXFB8fLz8/P7P96aefVvv27RUcHKy8vDxNmjRJX375pblqVlRUpMDAwCr7CwwMVFFRkVkTFBTk1u/v7y8vLy+3mnbt2rnVXHxNUVHRZcPX9OnTNWXKlGs7aAAA0OjUOnyFhoa6hR8rVFRU6KmnntKFCxf09ttvu/UlJSWZzyMiItShQwd169ZNO3bs0H333SdJ1a7OGYbh1n4tNRcvtr/S6t+kSZOUnJxsbpeWlio0NPSy9QAAoHGr9QX3s2fP1u9//3sdPny4HoZTVUVFhYYNG6ZDhw4pKyvrqsHvvvvuk6enpw4cOCBJCg4O1rFjx6rUHT9+3Fy5Cg4ONle4LiopKVFFRcUVa4qLiyWpyqrZT9ntdvn5+bk9AADAravW4euZZ57R2rVrddddd8nX11ctWrRwe9Sli8HrwIEDWrVqlVq2bHnV1+zZs0cVFRUKCQmRJEVFRcnlcmnr1q1mzZYtW+RyudSzZ0+zJi8vT4WFhWZNZmam7Ha7IiMjzZoNGza43X4iMzNTTqezyulIAACAy6n1acc33nijzt78zJkz+uabb8ztQ4cOKTc3Vy1atJDT6dQvf/lL7dixQ//7v/+ryspKc+WpRYsW8vLy0sGDB5WWlqbHHntMAQEB2rt3r1JSUnTvvfeqV69ekqROnTqpf//+SkpKMm9B8eyzzyouLk5hYWGSpJiYGIWHhyshIUGvvfaaTp48qYkTJyopKclcqYqPj9eUKVOUmJioF198UQcOHNC0adP00ksv8U1HAABQYzajAe8Sum7dOvXp06dK+4gRIzR58uTLXsS+du1a9e7dWwUFBXrmmWeUl5enM2fOKDQ0VAMHDlRqaqrbKtzJkyc1fvx4LV++XJI0ePBgzZs3z+1bk/n5+RozZozWrFkjb29vxcfHa9asWW7fbty9e7fGjh2rrVu3yt/fX6NHj651+CotLZXD4ZDL5eIUJIAGMcVW8y8BpRqp9TgS4OZRl3+/ryl8HTx4UAsXLtTBgwf15ptvKjAwUBkZGQoNDVXnzp2va0CNHeELQEMjfAG1V5d/v2t9zdf69evVpUsXbdmyRUuXLtWZM2ckSbt27VJqKv+SAgAAXEmtw9cLL7ygl19+WVlZWfLy8jLbL96IFAAAAJdX6/C1e/duPfHEE1XaW7VqpRMnTtTJoAAAABqrWoev5s2bu92S4aKdO3eqdevWdTIoAACAxqrW4Ss+Pl5/+MMfVFRUJJvNpgsXLugf//iHJk6cqF//+tf1MUYAAIBGo9bh65VXXtEdd9yh1q1b68yZMwoPD9fDDz+snj176k9/+lN9jBEAAKDRqPVNVj09PZWWlqb//M//1I4dO3ThwgXde++96tChQ32MDwAAoFGp9crX1KlT9f333+vOO+/UL3/5Sw0bNkwdOnTQuXPnNHXq1PoYIwAAQKNR6/A1ZcoU895eP/X9999rypSa37gPAADgVlTr8GUYRrU/p/Pll1/W+Q9rAwAANDY1vubL399fNptNNptNHTt2dAtglZWVOnPmjEaPHl0vgwQAAGgsahy+3njjDRmGoZEjR2rKlClyOBxmn5eXl9q1a6eoqKh6GSQAAEBjUePwNWLECElS+/bt1bNnT3l6etbboAAAABqrGoWv0tJS8xe87733Xp07d07nzp2rtvZ6f+kbAACgMatR+PL391dhYaECAwPVvHnzai+4v3ghfmVlZZ0PEgAAoLGoUfhas2aN+U3GtWvX1uuAAAAAGrMaha/o6OhqnwMAAKB2an2fLwAAAFw7whcAAICFCF8AAAAWqlH4Wr58uSoqKup7LAAAAI1ejcLXE088oVOnTkmSPDw8VFxcXJ9jAgAAaLRqFL5atWql7OxsSZf/YW0AAABcXY1uNTF69Gg9/vjj5g9rBwcHX7aWm6wCAABcXo3C1+TJk/XUU0/pm2++0eDBg7Vw4UI1b968nocGAADQ+NT4h7V//vOf6+c//7lSU1P15JNPqlmzZvU5LgAAgEapxuHrotTUVEnS8ePHtX//ftlsNnXs2FGtWrWq88EBAAA0NrW+z9f333+vkSNHyul06uGHH9ZDDz0kp9OpUaNG6fvvv6+PMQIAADQatQ5f//Ef/6H169dr+fLlOnXqlE6dOqVPPvlE69evV0pKSn2MEQAAoNGo9WnHJUuW6H/+53/Uu3dvs+2xxx6Tt7e3hg0bpvnz59fl+AAAABqVazrtGBQUVKU9MDCQ044AAABXUevwFRUVpdTUVJ0/f95sO3funKZMmaKoqKg6HRwAAEBjU+vTjm+++ab69++vNm3aqGvXrrLZbMrNzVXTpk31+eef18cYAQAAGo1ar3xFRETowIEDmj59uu655x7dfffdmjFjhg4cOKDOnTvXal8bNmzQoEGD5HQ6ZbPZ9PHHH7v1G4ahyZMny+l0ytvbW71799aePXvcasrKyjRu3DgFBATIx8dHgwcP1pEjR9xqSkpKlJCQIIfDIYfDoYSEBPO3Ki/Kz8/XoEGD5OPjo4CAAI0fP17l5eVuNbt371Z0dLS8vb3VunVrTZ06VYZh1OqYAQDAra3WK1+S5O3traSkpOt+87Nnz6pr1676t3/7N/3iF7+o0v/qq69qzpw5WrRokTp27KiXX35Z/fr10/79++Xr6ytJmjBhgj799FOlp6erZcuWSklJUVxcnHJycuTh4SFJio+P15EjR5SRkSFJevbZZ5WQkKBPP/1U0o8/iTRw4EC1atVKGzdu1IkTJzRixAgZhqG5c+dKkkpLS9WvXz/16dNH27Zt09dff63ExET5+PjwLU8AAFBjNuMGWbqx2WxatmyZhgwZIunHVS+n06kJEyboD3/4g6QfV7mCgoI0c+ZM/fa3v5XL5VKrVq20ePFiDR8+XJJ09OhRhYaGauXKlYqNjdW+ffsUHh6u7Oxsde/eXZKUnZ2tqKgoffXVVwoLC9Nnn32muLg4FRQUyOl0SpLS09OVmJio4uJi+fn5af78+Zo0aZKOHTsmu90uSZoxY4bmzp2rI0eO1PjHxktLS+VwOORyueTn51eXUwgANTLFNqXGtalGaj2OBLh51OXf71qfdrTKoUOHVFRUpJiYGLPNbrcrOjpamzZtkiTl5OSooqLCrcbpdCoiIsKs2bx5sxwOhxm8JKlHjx5yOBxuNREREWbwkqTY2FiVlZUpJyfHrImOjjaD18Wao0eP6vDhw5c9jrKyMpWWlro9AADAreuGDV9FRUWSVOW2FkFBQWZfUVGRvLy85O/vf8WawMDAKvsPDAx0q7n0ffz9/eXl5XXFmovbF2uqM336dPNaM4fDodDQ0CsfOAAAaNRu2PB10aWn8wzDuOopvktrqquvi5qLZ2yvNJ5JkybJ5XKZj4KCgiuOHQAANG61Dl933nmnTpw4UaX91KlTuvPOO+tkUJIUHBwsqeqqUnFxsbniFBwcrPLycpWUlFyx5tixY1X2f/z4cbeaS9+npKREFRUVV6wpLi6WVHV17qfsdrv8/PzcHgAA4NZV6/B1+PBhVVZWVmkvKyvTt99+WyeDkqT27dsrODhYWVlZZlt5ebnWr1+vnj17SpIiIyPl6enpVlNYWKi8vDyzJioqSi6XS1u3bjVrtmzZIpfL5VaTl5enwsJCsyYzM1N2u12RkZFmzYYNG9xuP5GZmSmn06l27drV2XEDAIDGrca3mli+fLn5/PPPP5fD4TC3KysrtXr16lqHkDNnzuibb74xtw8dOqTc3Fy1aNFCd9xxhyZMmKBp06apQ4cO6tChg6ZNm6ZmzZopPj5ekuRwODRq1CilpKSoZcuWatGihSZOnKguXbro0UcflSR16tRJ/fv3V1JSkt555x1JP95qIi4uTmFhYZKkmJgYhYeHKyEhQa+99ppOnjypiRMnKikpyVypio+P15QpU5SYmKgXX3xRBw4c0LRp0/TSSy/V+JuOAAAANQ5fF28BYbPZNGLECLc+T09PtWvXTrNnz67Vm2/fvl19+vQxt5OTkyVJI0aM0KJFi/T73/9e586d05gxY1RSUqLu3bsrMzPTvMeXJL3++utq0qSJhg0bpnPnzumRRx7RokWLzHt8SVJaWprGjx9vfity8ODBmjdvntnv4eGhFStWaMyYMerVq5e8vb0VHx+vWbNmmTUOh0NZWVkaO3asunXrJn9/fyUnJ5tjBgAAqIla3+erffv22rZtmwICAuprTI0a9/kC0NC4zxdQe3X597vWd7g/dOjQdb0hAADAreyafl5o9erVWr16tYqLi3XhwgW3vr/97W91MjAAAIDGqNbha8qUKZo6daq6deumkJAQLjYHAACohVqHr7/85S9atGiREhIS6mM8AAAAjVqt7/NVXl5u3h8LAAAAtVPr8PWb3/xGf//73+tjLAAAAI1erU87nj9/Xn/961+1atUq3X333fL09HTrnzNnTp0NDgAAoLGpdfjatWuX7rnnHklSXl6eWx8X3wMAAFxZrcPX2rVr62McAAAAt4RaX/MFAACAa1frla8+ffpc8fTimjVrrmtAAAAAjVmtw9fF670uqqioUG5urvLy8qr84DYAAADc1Tp8vf7669W2T548WWfOnLnuAQEAADRmdXbN1zPPPMPvOgIAAFxFnYWvzZs3q2nTpnW1OwAAgEap1qcdhw4d6rZtGIYKCwu1fft2/fnPf66zgQEAADRGtQ5fDofDbfu2225TWFiYpk6dqpiYmDobGAAAQGNU6/C1cOHC+hgHAADALaHW4euinJwc7du3TzabTeHh4br33nvrclwAAACNUq3DV3FxsZ566imtW7dOzZs3l2EYcrlc6tOnj9LT09WqVav6GCcAAECjUOtvO44bN06lpaXas2ePTp48qZKSEuXl5am0tFTjx4+vjzECAAA0GrVe+crIyNCqVavUqVMnsy08PFxvvfUWF9wDAABcRa1Xvi5cuCBPT88q7Z6enrpw4UKdDAoAAKCxqnX46tu3r55//nkdPXrUbPv222/1H//xH3rkkUfqdHAAAACNTa3D17x583T69Gm1a9dOd911l372s5+pffv2On36tObOnVsfYwQAAGg0an3NV2hoqHbs2KGsrCx99dVXMgxD4eHhevTRR+tjfAAAAI3KNd/nq1+/furXr19djgUAAKDRq/FpxzVr1ig8PFylpaVV+lwulzp37qwvvviiTgcHAADQ2NQ4fL3xxhtKSkqSn59flT6Hw6Hf/va3mjNnTp0ODgAAoLGpcfj68ssv1b9//8v2x8TEKCcnp04GBQAA0FjVOHwdO3as2vt7XdSkSRMdP368TgYFAADQWNU4fLVu3Vq7d+++bP+uXbsUEhJSJ4MCAABorGocvh577DG99NJLOn/+fJW+c+fOKTU1VXFxcXU6OAAAgMamxuHrT3/6k06ePKmOHTvq1Vdf1SeffKLly5dr5syZCgsL08mTJ/XHP/6xzgfYrl072Wy2Ko+xY8dKkhITE6v09ejRw20fZWVlGjdunAICAuTj46PBgwfryJEjbjUlJSVKSEiQw+GQw+FQQkKCTp065VaTn5+vQYMGycfHRwEBARo/frzKy8vr/JgBAEDjVeP7fAUFBWnTpk3693//d02aNEmGYUiSbDabYmNj9fbbbysoKKjOB7ht2zZVVlaa23l5eerXr5+efPJJs61///5auHChue3l5eW2jwkTJujTTz9Venq6WrZsqZSUFMXFxSknJ0ceHh6SpPj4eB05ckQZGRmSpGeffVYJCQn69NNPJUmVlZUaOHCgWrVqpY0bN+rEiRMaMWKEDMPgzv4AAKDGanWT1bZt22rlypUqKSnRN998I8Mw1KFDB/n7+9fX+NSqVSu37RkzZuiuu+5SdHS02Wa32xUcHFzt610ulxYsWKDFixebd+H/4IMPFBoaqlWrVik2Nlb79u1TRkaGsrOz1b17d0nSu+++q6ioKO3fv19hYWHKzMzU3r17VVBQIKfTKUmaPXu2EhMT9corr1R7Cw7px1W3srIyc7u6+6QBAIBbR61/21GS/P39df/99+uBBx6o1+B1qfLycn3wwQcaOXKkbDab2b5u3ToFBgaqY8eOSkpKUnFxsdmXk5OjiooKxcTEmG1Op1MRERHatGmTJGnz5s1yOBxm8JKkHj16yOFwuNVERESYwUuSYmNjVVZWdsVbbEyfPt08lelwOBQaGnr9EwEAAG5a1xS+GsrHH3+sU6dOKTEx0WwbMGCA0tLStGbNGs2ePVvbtm1T3759zdWmoqIieXl5VQmJQUFBKioqMmsCAwOrvF9gYKBbzaWnVf39/eXl5WXWVGfSpElyuVzmo6Cg4JqOHQAANA7X/NuODWHBggUaMGCA2+rT8OHDzecRERHq1q2b2rZtqxUrVmjo0KGX3ZdhGG6rZz99fj01l7Lb7bLb7Zc/KAAAcEu5aVa+/vWvf2nVqlX6zW9+c8W6kJAQtW3bVgcOHJAkBQcHq7y8XCUlJW51xcXF5kpWcHCwjh07VmVfx48fd6u5dIWrpKREFRUV9fJFAwAA0DjdNOFr4cKFCgwM1MCBA69Yd+LECRUUFJg3fI2MjJSnp6eysrLMmsLCQuXl5alnz56SpKioKLlcLm3dutWs2bJli1wul1tNXl6eCgsLzZrMzEzZ7XZFRkbW2XECAIDG7aYIXxcuXNDChQs1YsQINWnyf2dKz5w5o4kTJ2rz5s06fPiw1q1bp0GDBikgIEBPPPGEpB9/9HvUqFFKSUnR6tWrtXPnTj3zzDPq0qWL+e3HTp06qX///kpKSlJ2drays7OVlJSkuLg4hYWFSfrxtyvDw8OVkJCgnTt3avXq1Zo4ceJlf2wcAACgOjdF+Fq1apXy8/M1cuRIt3YPDw/t3r1bjz/+uDp27KgRI0aoY8eO2rx5s3x9fc26119/XUOGDNGwYcPUq1cvNWvWTJ9++ql5jy9JSktLU5cuXRQTE6OYmBjdfffdWrx4sdt7rVixQk2bNlWvXr00bNgwDRkyRLNmzar/CQAAAI2Gzbh4t1RYorS0VA6HQy6XixUzAA1iim1KjWtTjdR6HAlw86jLv983xcoXAABAY0H4AgAAsBDhCwAAwEKELwAAAAsRvgAAACxE+AIAALAQ4QsAAMBChC8AAAALEb4AAAAsRPgCAACwEOELAADAQoQvAAAACxG+AAAALET4AgAAsBDhCwAAwEKELwAAAAsRvgAAACxE+AIAALAQ4QsAAMBChC8AAAALEb4AAAAsRPgCAACwEOELAADAQoQvAAAACxG+AAAALET4AgAAsBDhCwAAwEKELwAAAAsRvgAAACxE+AIAALAQ4QsAAMBChC8AAAALEb4AAAAsdEOHr8mTJ8tms7k9goODzX7DMDR58mQ5nU55e3urd+/e2rNnj9s+ysrKNG7cOAUEBMjHx0eDBw/WkSNH3GpKSkqUkJAgh8Mhh8OhhIQEnTp1yq0mPz9fgwYNko+PjwICAjR+/HiVl5fX27EDAIDG6YYOX5LUuXNnFRYWmo/du3ebfa+++qrmzJmjefPmadu2bQoODla/fv10+vRps2bChAlatmyZ0tPTtXHjRp05c0ZxcXGqrKw0a+Lj45Wbm6uMjAxlZGQoNzdXCQkJZn9lZaUGDhyos2fPauPGjUpPT9eSJUuUkpJizSQAAIBGo0lDD+BqmjRp4rbadZFhGHrjjTf0xz/+UUOHDpUkvffeewoKCtLf//53/fa3v5XL5dKCBQu0ePFiPfroo5KkDz74QKGhoVq1apViY2O1b98+ZWRkKDs7W927d5ckvfvuu4qKitL+/fsVFhamzMxM7d27VwUFBXI6nZKk2bNnKzExUa+88or8/PwuO/6ysjKVlZWZ26WlpXU2NwAA4OZzw698HThwQE6nU+3bt9dTTz2lf/7zn5KkQ4cOqaioSDExMWat3W5XdHS0Nm3aJEnKyclRRUWFW43T6VRERIRZs3nzZjkcDjN4SVKPHj3kcDjcaiIiIszgJUmxsbEqKytTTk7OFcc/ffp083Smw+FQaGjodc4IAAC4md3Q4at79+56//339fnnn+vdd99VUVGRevbsqRMnTqioqEiSFBQU5PaaoKAgs6+oqEheXl7y9/e/Yk1gYGCV9w4MDHSrufR9/P395eXlZdZczqRJk+RyucxHQUFBLWYAAAA0Njf0accBAwaYz7t06aKoqCjdddddeu+999SjRw9Jks1mc3uNYRhV2i51aU119ddSUx273S673X7FGgAAcOu4oVe+LuXj46MuXbrowIED5nVgl648FRcXm6tUwcHBKi8vV0lJyRVrjh07VuW9jh8/7lZz6fuUlJSooqKiyooYAADAldxU4ausrEz79u1TSEiI2rdvr+DgYGVlZZn95eXlWr9+vXr27ClJioyMlKenp1tNYWGh8vLyzJqoqCi5XC5t3brVrNmyZYtcLpdbTV5engoLC82azMxM2e12RUZG1usxAwCAxuWGPu04ceJEDRo0SHfccYeKi4v18ssvq7S0VCNGjJDNZtOECRM0bdo0dejQQR06dNC0adPUrFkzxcfHS5IcDodGjRqllJQUtWzZUi1atNDEiRPVpUsX89uPnTp1Uv/+/ZWUlKR33nlHkvTss88qLi5OYWFhkqSYmBiFh4crISFBr732mk6ePKmJEycqKSnpit90BAAAuNQNHb6OHDmiX/3qV/ruu+/UqlUr9ejRQ9nZ2Wrbtq0k6fe//73OnTunMWPGqKSkRN27d1dmZqZ8fX3Nfbz++utq0qSJhg0bpnPnzumRRx7RokWL5OHhYdakpaVp/Pjx5rciBw8erHnz5pn9Hh4eWrFihcaMGaNevXrJ29tb8fHxmjVrlkUzAQAAGgubYRhGQw/iVlJaWiqHwyGXy8WqGYAGMcU2pca1qUZqPY4EuHnU5d/vm+qaLwAAgJsd4QsAAMBChC8AAAALEb4AAAAsRPgCAACwEOELAADAQoQvAAAACxG+AAAALET4AgAAsBDhCwAAwEKELwAAAAsRvgAAACxE+AIAALAQ4QsAAMBChC8AAAALEb4AAAAsRPgCAACwEOELAADAQoQvAAAACxG+AAAALET4AgAAsBDhCwAAwEKELwAAAAsRvgAAACxE+AIAALAQ4QsAAMBChC8AAAALEb4AAAAsRPgCAACwEOELAADAQoQvAAAACxG+AAAALHRDh6/p06fr/vvvl6+vrwIDAzVkyBDt37/frSYxMVE2m83t0aNHD7easrIyjRs3TgEBAfLx8dHgwYN15MgRt5qSkhIlJCTI4XDI4XAoISFBp06dcqvJz8/XoEGD5OPjo4CAAI0fP17l5eX1cuwAAKBxuqHD1/r16zV27FhlZ2crKytLP/zwg2JiYnT27Fm3uv79+6uwsNB8rFy50q1/woQJWrZsmdLT07Vx40adOXNGcXFxqqysNGvi4+OVm5urjIwMZWRkKDc3VwkJCWZ/ZWWlBg4cqLNnz2rjxo1KT0/XkiVLlJKSUr+TAAAAGpUmDT2AK8nIyHDbXrhwoQIDA5WTk6OHH37YbLfb7QoODq52Hy6XSwsWLNDixYv16KOPSpI++OADhYaGatWqVYqNjdW+ffuUkZGh7Oxsde/eXZL07rvvKioqSvv371dYWJgyMzO1d+9eFRQUyOl0SpJmz56txMREvfLKK/Lz86uPKQAAAI3MDb3ydSmXyyVJatGihVv7unXrFBgYqI4dOyopKUnFxcVmX05OjioqKhQTE2O2OZ1ORUREaNOmTZKkzZs3y+FwmMFLknr06CGHw+FWExERYQYvSYqNjVVZWZlycnIuO+aysjKVlpa6PQAAwK3rpglfhmEoOTlZDz74oCIiIsz2AQMGKC0tTWvWrNHs2bO1bds29e3bV2VlZZKkoqIieXl5yd/f321/QUFBKioqMmsCAwOrvGdgYKBbTVBQkFu/v7+/vLy8zJrqTJ8+3byOzOFwKDQ09NomAAAANAo39GnHn3ruuee0a9cubdy40a19+PDh5vOIiAh169ZNbdu21YoVKzR06NDL7s8wDNlsNnP7p8+vp+ZSkyZNUnJysrldWlpKAAMA4BZ2U6x8jRs3TsuXL9fatWvVpk2bK9aGhISobdu2OnDggCQpODhY5eXlKikpcasrLi42V7KCg4N17NixKvs6fvy4W82lK1wlJSWqqKiosiL2U3a7XX5+fm4PAABw67qhw5dhGHruuee0dOlSrVmzRu3bt7/qa06cOKGCggKFhIRIkiIjI+Xp6amsrCyzprCwUHl5eerZs6ckKSoqSi6XS1u3bjVrtmzZIpfL5VaTl5enwsJCsyYzM1N2u12RkZF1crwAAKDxu6FPO44dO1Z///vf9cknn8jX19dceXI4HPL29taZM2c0efJk/eIXv1BISIgOHz6sF198UQEBAXriiSfM2lGjRiklJUUtW7ZUixYtNHHiRHXp0sX89mOnTp3Uv39/JSUl6Z133pEkPfvss4qLi1NYWJgkKSYmRuHh4UpISNBrr72mkydPauLEiUpKSmI1CwAA1NgNvfI1f/58uVwu9e7dWyEhIebjo48+kiR5eHho9+7devzxx9WxY0eNGDFCHTt21ObNm+Xr62vu5/XXX9eQIUM0bNgw9erVS82aNdOnn34qDw8PsyYtLU1dunRRTEyMYmJidPfdd2vx4sVmv4eHh1asWKGmTZuqV69eGjZsmIYMGaJZs2ZZNyEAAOCmZzMMw2joQdxKSktL5XA45HK5WDED0CCm2KbUuDbVSK3HkQA3j7r8+31Dr3wBAAA0NoQvAAAACxG+AAAALET4AgAAsBDhCwAAwEKELwAAAAsRvgAAACxE+AIAALAQ4QsAAMBChC8AAAALEb4AAAAsRPgCAACwEOELAADAQoQvAAAACxG+AAAALET4AgAAsBDhCwAAwEKELwAAAAsRvgAAACxE+AIAALAQ4QsAAMBChC8AAAALEb4AAAAsRPgCAACwEOELAADAQoQvAAAACxG+AAAALET4AgAAsBDhCwAAwEKELwAAAAsRvgAAACxE+AIAALAQ4QsAAMBChK9r8Pbbb6t9+/Zq2rSpIiMj9cUXXzT0kAAAwE2C8FVLH330kSZMmKA//vGP2rlzpx566CENGDBA+fn5DT00AABwE2jS0AO42cyZM0ejRo3Sb37zG0nSG2+8oc8//1zz58/X9OnTG3h0AG4FU2xTalybaqTW40gAXAvCVy2Ul5crJydHL7zwglt7TEyMNm3aVO1rysrKVFZWZm67XC5JUmlpaf0NFECjdl7na1xb3X9rrvf1wK3o4r8LhmFc974IX7Xw3XffqbKyUkFBQW7tQUFBKioqqvY106dP15QpVf8vNTQ0tF7GCAA/NcMxo0FfDzQ2p0+flsPhuK59EL6ugc1mc9s2DKNK20WTJk1ScnKyuX3hwgWdPHlSLVu2vOxraqO0tFShoaEqKCiQn5/fde/vVsG8XTvm7towb9eOubs2zNu1q27uDMPQ6dOn5XQ6r3v/hK9aCAgIkIeHR5VVruLi4iqrYRfZ7XbZ7Xa3tubNm9f52Pz8/PiX6xowb9eOubs2zNu1Y+6uDfN27S6du+td8bqIbzvWgpeXlyIjI5WVleXWnpWVpZ49ezbQqAAAwM2Ela9aSk5OVkJCgrp166aoqCj99a9/VX5+vkaPHt3QQwMAADcBwlctDR8+XCdOnNDUqVNVWFioiIgIrVy5Um3btm2Q8djtdqWmplY5tYkrY96uHXN3bZi3a8fcXRvm7drV99zZjLr4ziQAAABqhGu+AAAALET4AgAAsBDhCwAAwEKELwAAAAsRvm5ib7/9ttq3b6+mTZsqMjJSX3zxRUMP6YYyefJk2Ww2t0dwcLDZbxiGJk+eLKfTKW9vb/Xu3Vt79uxpwBE3nA0bNmjQoEFyOp2y2Wz6+OOP3fprMldlZWUaN26cAgIC5OPjo8GDB+vIkSMWHkXDuNrcJSYmVvkc9ujRw63mVpy76dOn6/7775evr68CAwM1ZMgQ7d+/362Gz11VNZk3PnPVmz9/vu6++27zxqlRUVH67LPPzH4rP2+Er5vURx99pAkTJuiPf/yjdu7cqYceekgDBgxQfn5+Qw/thtK5c2cVFhaaj927d5t9r776qubMmaN58+Zp27ZtCg4OVr9+/XT69OkGHHHDOHv2rLp27ap58+ZV21+TuZowYYKWLVum9PR0bdy4UWfOnFFcXJwqKyutOowGcbW5k6T+/fu7fQ5Xrlzp1n8rzt369es1duxYZWdnKysrSz/88INiYmJ09uxZs4bPXVU1mTeJz1x12rRpoxkzZmj79u3avn27+vbtq8cff9wMWJZ+3gzclB544AFj9OjRbm0///nPjRdeeKGBRnTjSU1NNbp27Vpt34ULF4zg4GBjxowZZtv58+cNh8Nh/OUvf7FohDcmScayZcvM7ZrM1alTpwxPT08jPT3drPn222+N2267zcjIyLBs7A3t0rkzDMMYMWKE8fjjj1/2Nczdj4qLiw1Jxvr16w3D4HNXU5fOm2HwmasNf39/47//+78t/7yx8nUTKi8vV05OjmJiYtzaY2JitGnTpgYa1Y3pwIEDcjqdat++vZ566in985//lCQdOnRIRUVFbnNot9sVHR3NHF6iJnOVk5OjiooKtxqn06mIiAjmU9K6desUGBiojh07KikpScXFxWYfc/cjl8slSWrRooUkPnc1dem8XcRn7soqKyuVnp6us2fPKioqyvLPG+HrJvTdd9+psrKyyo95BwUFVfnR71tZ9+7d9f777+vzzz/Xu+++q6KiIvXs2VMnTpww54k5vLqazFVRUZG8vLzk7+9/2Zpb1YABA5SWlqY1a9Zo9uzZ2rZtm/r27auysjJJzJ3047U2ycnJevDBBxURESGJz11NVDdvEp+5K9m9e7duv/122e12jR49WsuWLVN4eLjlnzd+XugmZrPZ3LYNw6jSdisbMGCA+bxLly6KiorSXXfdpffee8+8+JQ5rLlrmSvm88efJLsoIiJC3bp1U9u2bbVixQoNHTr0sq+7lebuueee065du7Rx48YqfXzuLu9y88Zn7vLCwsKUm5urU6dOacmSJRoxYoTWr19v9lv1eWPl6yYUEBAgDw+PKkm7uLi4SmrH//Hx8VGXLl104MAB81uPzOHV1WSugoODVV5erpKSksvW4EchISFq27atDhw4IIm5GzdunJYvX661a9eqTZs2Zjufuyu73LxVh8/c//Hy8tLPfvYzdevWTdOnT1fXrl315ptvWv55I3zdhLy8vBQZGamsrCy39qysLPXs2bOBRnXjKysr0759+xQSEqL27dsrODjYbQ7Ly8u1fv165vASNZmryMhIeXp6utUUFhYqLy+P+bzEiRMnVFBQoJCQEEm37twZhqHnnntOS5cu1Zo1a9S+fXu3fj531bvavFWHz9zlGYahsrIy6z9v1/gFATSw9PR0w9PT01iwYIGxd+9eY8KECYaPj49x+PDhhh7aDSMlJcVYt26d8c9//tPIzs424uLiDF9fX3OOZsyYYTgcDmPp0qXG7t27jV/96ldGSEiIUVpa2sAjt97p06eNnTt3Gjt37jQkGXPmzDF27txp/Otf/zIMo2ZzNXr0aKNNmzbGqlWrjB07dhh9+/Y1unbtavzwww8NdViWuNLcnT592khJSTE2bdpkHDp0yFi7dq0RFRVltG7d+pafu3//9383HA6HsW7dOqOwsNB8fP/992YNn7uqrjZvfOYub9KkScaGDRuMQ4cOGbt27TJefPFF47bbbjMyMzMNw7D280b4uom99dZbRtu2bQ0vLy/jvvvuc/uqMQxj+PDhRkhIiOHp6Wk4nU5j6NChxp49e8z+CxcuGKmpqUZwcLBht9uNhx9+2Ni9e3cDjrjhrF271pBU5TFixAjDMGo2V+fOnTOee+45o0WLFoa3t7cRFxdn5OfnN8DRWOtKc/f9998bMTExRqtWrQxPT0/jjjvuMEaMGFFlXm7FuatuziQZCxcuNGv43FV1tXnjM3d5I0eONP9mtmrVynjkkUfM4GUY1n7ebIZhGLVbKwMAAMC14povAAAACxG+AAAALET4AgAAsBDhCwAAwEKELwAAAAsRvgAAACxE+AIAALAQ4QsAAMBChC8Ajdbhw4dls9mUm5vb0EMxffXVV+rRo4eaNm2qe+65p0733bt3b02YMKFO9wmg7hG+ANSbxMRE2Ww2zZgxw639448/ls1ma6BRNazU1FT5+Pho//79Wr16dbU1hCigcSN8AahXTZs21cyZM1VSUtLQQ6kz5eXl1/zagwcP6sEHH1Tbtm3VsmXLOhwVgJsF4QtAvXr00UcVHBys6dOnX7Zm8uTJVU7BvfHGG2rXrp25nZiYqCFDhmjatGkKCgpS8+bNNWXKFP3www/63e9+pxYtWqhNmzb629/+VmX/X331lXr27KmmTZuqc+fOWrdunVv/3r179dhjj+n2229XUFCQEhIS9N1335n9vXv31nPPPafk5GQFBASoX79+1R7HhQsXNHXqVLVp00Z2u1333HOPMjIyzH6bzaacnBxNnTpVNptNkydPrrKPxMRErV+/Xm+++aZsNptsNpsOHz4sSVq/fr0eeOAB2e12hYSE6IUXXtAPP/xw2XnNyMiQw+HQ+++/L0n69ttvNXz4cPn7+6tly5Z6/PHHzX3/dI5nzZqlkJAQtWzZUmPHjlVFRYVZ8/bbb6tDhw5q2rSpgoKC9Mtf/vKy7w+geoQvAPXKw8ND06ZN09y5c3XkyJHr2teaNWt09OhRbdiwQXPmzNHkyZMVFxcnf39/bdmyRaNHj9bo0aNVUFDg9rrf/e53SklJ0c6dO9WzZ08NHjxYJ06ckCQVFhYqOjpa99xzj7Zv366MjAwdO3ZMw4YNc9vHe++9pyZNmugf//iH3nnnnWrH9+abb2r27NmaNWuWdu3apdjYWA0ePFgHDhww36tz585KSUlRYWGhJk6cWO0+oqKilJSUpMLCQhUWFio0NFTffvutHnvsMd1///368ssvNX/+fC1YsEAvv/xytWNJT0/XsGHD9P777+vXv/61vv/+e/Xp00e33367NmzYoI0bN+r2229X//793Vby1q5dq4MHD2rt2rV67733tGjRIi1atEiStH37do0fP15Tp07V/v37lZGRoYcffrhm//AA/B8DAOrJiBEjjMcff9wwDMPo0aOHMXLkSMMwDGPZsmXGT//zk5qaanTt2tXtta+//rrRtm1bt321bdvWqKysNNvCwsKMhx56yNz+4YcfDB8fH+PDDz80DMMwDh06ZEgyZsyYYdZUVFQYbdq0MWbOnGkYhmH8+c9/NmJiYtzeu6CgwJBk7N+/3zAMw4iOjjbuueeeqx6v0+k0XnnlFbe2+++/3xgzZoy53bVrVyM1NfWK+4mOjjaef/55t7YXX3zRCAsLMy5cuGC2vfXWW8btt99uzsnF17311luGw+Ew1qxZY9YuWLCgyuvLysoMb29v4/PPPzcM4//m+IcffjBrnnzySWP48OGGYRjGkiVLDD8/P6O0tPSqcwHg8po0cPYDcIuYOXOm+vbtq5SUlGveR+fOnXXbbf+3YB8UFKSIiAhz28PDQy1btlRxcbHb66KiosznTZo0Ubdu3bRv3z5JUk5OjtauXavbb7+9yvsdPHhQHTt2lCR169btimMrLS3V0aNH1atXL7f2Xr166csvv6zhEV7evn37FBUV5fZFhV69eunMmTM6cuSI7rjjDknSkiVLdOzYMW3cuFEPPPCAWZuTk6NvvvlGvr6+bvs9f/68Dh48aG537txZHh4e5nZISIh2794tSerXr5/atm2rO++8U/3791f//v31xBNPqFmzZtd9fMCthPAFwBIPP/ywYmNj9eKLLyoxMdGt77bbbpNhGG5tP73O6CJPT0+3bZvNVm3bhQsXrjqeiyHmwoULGjRokGbOnFmlJiQkxHzu4+Nz1X3+dL8XGYZRJ9/srG4/F+fsp+333HOPduzYoYULF+r+++93O87IyEilpaVV2XerVq3M51eaT19fX+3YsUPr1q1TZmamXnrpJU2ePFnbtm1T8+bNr/sYgVsF13wBsMyMGTP06aefatOmTW7trVq1UlFRkVsAq8t7c2VnZ5vPf/jhB+Xk5OjnP/+5JOm+++7Tnj171K5dO/3sZz9ze9Q0cEmSn5+fnE6nNm7c6Na+adMmderUqVbj9fLyUmVlpVtbeHi4Nm3a5DZHmzZtkq+vr1q3bm223XXXXVq7dq0++eQTjRs3zmy/7777dODAAQUGBlY5TofDUeOxNWnSRI8++qheffVV7dq1S4cPH9aaNWtqdXzArY7wBcAyXbp00dNPP625c+e6tffu3VvHjx/Xq6++qoMHD+qtt97SZ599Vmfv+9Zbb2nZsmX66quvNHbsWJWUlGjkyJGSpLFjx+rkyZP61a9+pa1bt+qf//ynMjMzNXLkyCoB6Gp+97vfaebMmfroo4+0f/9+vfDCC8rNzdXzzz9fq/20a9dOW7Zs0eHDh/Xdd9/pwoULGjNmjAoKCjRu3Dh99dVX+uSTT5Samqrk5GS3U7GS1LFjR61du1ZLliwx7xf29NNPKyAgQI8//ri++OILHTp0SOvXr9fzzz9f4y9C/O///q/+67/+S7m5ufrXv/6l999/XxcuXFBYWFitjg+41RG+AFjqP//zP6ucYuzUqZPefvttvfXWW+ratau2bt1a7TcBr9WMGTM0c+ZMde3aVV988YU++eQTBQQESJKcTqf+8Y9/qLKyUrGxsYqIiNDzzz8vh8NRJdRczfjx45WSkqKUlBR16dJFGRkZWr58uTp06FCr/UycOFEeHh4KDw9Xq1atlJ+fr9atW2vlypXaunWrunbtqtGjR2vUqFH605/+VO0+wsLCtGbNGn344YdKSUlRs2bNtGHDBt1xxx0aOnSoOnXqpJEjR+rcuXPy8/Or0biaN2+upUuXqm/fvurUqZP+8pe/6MMPP1Tnzp1rdXzArc5mXPpfQQAAANQbVr4AAAAsRPgCAACwEOELAADAQoQvAAAACxG+AAAALET4AgAAsBDhCwAAwEKELwAAAAsRvgAAACxE+AIAALAQ4QsAAMBC/x/GWKEm5m2vEQAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the distribution again to check it looks as expected\n", + "\n", + "token_counts = [item.token_count for item in sample]\n", + "fig, ax = plt.subplots(1, 1)\n", + "ax.set_xlabel('Number of tokens')\n", + "ax.set_ylabel('Count of items');\n", + "_ = ax.hist(token_counts, rwidth=0.7, color=\"purple\", bins=range(0, 300, 10))" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "59ef7aef-b6f6-4042-a2af-ddd5ae1c9999", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "How much does this cost to the nearest dollar?\n", + "\n", + "AuviPal USB-C Gigabit PoE Splitter, PoE to USB Type-C 5V/4A Max Power + Ethernet Data Adapter for Raspberry Pi 4 and More, Compliant | (AP-POE-USBC)\n", + "AuviPal Gigabit PoE Splitter is used for separating PoE signal into Ethernet data max) and USB-C power (DC 5V/4A max), ideal for providing faster & stable wired Ethernet and DC 5V Power for Raspberry Pi 4 simultaneously, Eliminate the need for a nearby AC outlet. What's more, It also can be used for providing constantly DC 5V power for any other USB Type-C devices, such as phone, tablet, camera etc which is placed far alway from AC outlet. ★★★\n", + "\n", + "Price is $26.00\n", + "[13, 38334, 49617, 271, 7117, 374, 400, 1627, 13, 410]\n", + "['.', ' ★', '★★', '\\n\\n', 'Price', ' is', ' $', '26', '.', '00']\n" + ] + } + ], + "source": [ + "report(sample[-2])" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "cacb9059-5f44-4601-860a-30860cebe9c2", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Divided into a training set of 200,000 items and test set of 2,000 items\n" + ] + } + ], + "source": [ + "random.seed(42)\n", + "random.shuffle(sample)\n", + "train = sample[:200_000]\n", + "test = sample[200_000:202_000]\n", + "print(f\"Divided into a training set of {len(train):,} items and test set of {len(test):,} items\")" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "bf435bcd-accf-427c-82d5-02b33a56737c", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the distribution of prices\n", + "\n", + "prices = [float(item.price) for item in test[:250]]\n", + "plt.figure(figsize=(15, 6))\n", + "plt.title(f\"Avg {sum(prices)/len(prices):.2f} and highest {max(prices):,.2f}\\n\")\n", + "plt.xlabel('Price ($)')\n", + "plt.ylabel('Count')\n", + "plt.hist(prices, rwidth=0.7, color=\"darkblue\", bins=range(0, 1000, 10))\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6b26000a-e5a9-4ab7-83fc-8eb44cb12f94", + "metadata": {}, + "outputs": [], + "source": [ + "# del items, slots\n", + "# import gc\n", + "# gc.collect()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3615bfdd-f23e-4005-96d8-7b52a1a439be", + "metadata": {}, + "outputs": [], + "source": [ + "import csv\n", + "with open('test.csv', 'w') as csvfile:\n", + " writer = csv.writer(csvfile)\n", + " for t in test[:200]:\n", + " writer.writerow([t.title, t.details, 0])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cb6907e9-37d7-4283-b1a9-8124f9f3439b", + "metadata": {}, + "outputs": [], + "source": [ + "human_predictions = []\n", + "with open('human.csv', 'r') as csvfile:\n", + " reader = csv.reader(csvfile)\n", + " for row in reader:\n", + " human_predictions.append(float(row[2]))" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "dd7c5db1-4510-4768-bef1-bdac2a7b392f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "220.45738687487398" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "average = sum(t.price for t in train)/len(train)\n", + "average" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "95353e68-07ac-4f57-8d57-dd48cacb0e04", + "metadata": {}, + "outputs": [], + "source": [ + "class TestRunner:\n", + "\n", + " def __init__(self, predictor, data, title, size=250):\n", + " self.predictor = predictor\n", + " self.data = data\n", + " self.title = title\n", + " self.size = size\n", + " self.guesses = []\n", + " self.truths = []\n", + " self.errors = []\n", + " self.sles = []\n", + " self.colors = []\n", + "\n", + " def run_datapoint(self, i):\n", + " datapoint = self.data[i]\n", + " guess = self.predictor(datapoint)\n", + " truth = datapoint.price\n", + " error = abs(guess - truth)\n", + " log_error = math.log(truth+1) - math.log(guess+1)\n", + " sle = log_error ** 2\n", + " color = RED if error>=40 else YELLOW if error>=20 else GREEN\n", + " color_str = \"red\" if error>=40 else \"yellow\" if error>=20 else \"green\"\n", + " title = datapoint.title if len(datapoint.title) <= 40 else datapoint.title[:40]+\"...\"\n", + " self.guesses.append(guess)\n", + " self.truths.append(truth)\n", + " self.errors.append(error)\n", + " self.sles.append(sle)\n", + " self.colors.append(color_str)\n", + " print(f\"{color}{i+1}: Guess: ${guess:,.2f} Truth: ${truth:,.2f} Error: ${error:,.2f} SLE: {sle:,.2f} Item: {title}{RESET}\")\n", + "\n", + " def chart(self, title):\n", + " max_error = max(self.errors)\n", + " plt.figure(figsize=(12, 8))\n", + " plt.scatter(self.truths, self.guesses, s=3, c=self.colors)\n", + " plt.xlabel('Ground Truth')\n", + " plt.ylabel('Model Estimate')\n", + " plt.title(title)\n", + " plt.show()\n", + "\n", + " def report(self):\n", + " average_error = sum(self.errors) / self.size\n", + " rmsle = math.sqrt(sum(self.sles) / self.size)\n", + " hits = [e for e in self.errors if e<20]\n", + " title = f\"{self.title} Error=${average_error:,.2f} RMSLE={rmsle:,.2f} Hits={len(hits)/self.size*100:.1f}%\"\n", + " self.chart(title)\n", + "\n", + " def run(self):\n", + " self.error = 0\n", + " for i in range(self.size):\n", + " self.run_datapoint(i)\n", + " self.report()\n", + " return self" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "e3a8519f-c139-4c72-8d9c-39ccedda2f7b", + "metadata": {}, + "outputs": [], + "source": [ + "train_average = sum(t.price for t in train)/len(train)\n", + "\n", + "def flat_predictor(item):\n", + " return train_average" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "739d2e33-55d4-4892-b42c-771131159c8d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[91m1: Guess: $220.46 Truth: $374.41 Error: $153.95 SLE: 0.28 Item: OEM AC Compressor w/A/C Repair Kit For F...\u001b[0m\n", + "\u001b[92m2: Guess: $220.46 Truth: $225.11 Error: $4.65 SLE: 0.00 Item: Motorcraft YB3125 Fan Clutch\u001b[0m\n", + "\u001b[91m3: Guess: $220.46 Truth: $61.68 Error: $158.78 SLE: 1.59 Item: Dorman 603-159 Front Washer Fluid Reserv...\u001b[0m\n", + "\u001b[91m4: Guess: $220.46 Truth: $599.99 Error: $379.53 SLE: 1.00 Item: HP Premium 17.3-inch HD Plus Touchscreen...\u001b[0m\n", + "\u001b[91m5: Guess: $220.46 Truth: $16.99 Error: $203.47 SLE: 6.30 Item: 5-Position Super Switch Pickup Selector ...\u001b[0m\n", + "\u001b[91m6: Guess: $220.46 Truth: $31.99 Error: $188.47 SLE: 3.63 Item: Horror Bookmarks, Resin Horror Bookmarks...\u001b[0m\n", + "\u001b[91m7: Guess: $220.46 Truth: $101.79 Error: $118.67 SLE: 0.59 Item: SK6241 - Stinger 4 Gauge 6000 Series Pow...\u001b[0m\n", + "\u001b[91m8: Guess: $220.46 Truth: $289.00 Error: $68.54 SLE: 0.07 Item: Godox ML60Bi LED Light Kit, Handheld LED...\u001b[0m\n", + "\u001b[91m9: Guess: $220.46 Truth: $635.86 Error: $415.40 SLE: 1.12 Item: Randall RG75DG3PLUS G3 Plus 100-Watt Com...\u001b[0m\n", + "\u001b[91m10: Guess: $220.46 Truth: $65.99 Error: $154.47 SLE: 1.43 Item: HOLDWILL 6 Pack LED Shop Light, 4FT 24W ...\u001b[0m\n", + "\u001b[93m11: Guess: $220.46 Truth: $254.21 Error: $33.75 SLE: 0.02 Item: Viking Horns V103C/1005ATK 3 Gallon Air ...\u001b[0m\n", + "\u001b[91m12: Guess: $220.46 Truth: $412.99 Error: $192.53 SLE: 0.39 Item: CURT 70110 Custom Tow Bar Base Plate Bra...\u001b[0m\n", + "\u001b[92m13: Guess: $220.46 Truth: $205.50 Error: $14.96 SLE: 0.00 Item: 10-Pack Solar HAMMERED BRONZE Finish Pos...\u001b[0m\n", + "\u001b[93m14: Guess: $220.46 Truth: $248.23 Error: $27.77 SLE: 0.01 Item: COSTWAY Electric Tumble Dryer, Sliver\u001b[0m\n", + "\u001b[91m15: Guess: $220.46 Truth: $399.00 Error: $178.54 SLE: 0.35 Item: FREE SIGNAL TV Transit 32\" 12 Volt DC Po...\u001b[0m\n", + "\u001b[91m16: Guess: $220.46 Truth: $373.94 Error: $153.48 SLE: 0.28 Item: Bilstein 5100 Monotube Gas Shock Set com...\u001b[0m\n", + "\u001b[91m17: Guess: $220.46 Truth: $92.89 Error: $127.57 SLE: 0.74 Item: Sangean K-200 Multi-Function Upright AM/...\u001b[0m\n", + "\u001b[91m18: Guess: $220.46 Truth: $51.99 Error: $168.47 SLE: 2.05 Item: Charles Leonard Magnetic Lapboard Class ...\u001b[0m\n", + "\u001b[91m19: Guess: $220.46 Truth: $179.00 Error: $41.46 SLE: 0.04 Item: Gigabyte AMD Radeon HD 7870 2 GB GDDR5 D...\u001b[0m\n", + "\u001b[91m20: Guess: $220.46 Truth: $19.42 Error: $201.04 SLE: 5.68 Item: 3dRose LLC 8 x 8 x 0.25 Inches Bull Terr...\u001b[0m\n", + "\u001b[91m21: Guess: $220.46 Truth: $539.95 Error: $319.49 SLE: 0.80 Item: ROKINON 85mm F1.4 Auto Focus Full Frame ...\u001b[0m\n", + "\u001b[91m22: Guess: $220.46 Truth: $147.67 Error: $72.79 SLE: 0.16 Item: AUTOSAVER88 Headlight Assembly Compatibl...\u001b[0m\n", + "\u001b[91m23: Guess: $220.46 Truth: $24.99 Error: $195.47 SLE: 4.59 Item: ASI NAUTICAL 2.5 Inches Opera Glasses Bi...\u001b[0m\n", + "\u001b[91m24: Guess: $220.46 Truth: $149.00 Error: $71.46 SLE: 0.15 Item: Behringer TUBE OVERDRIVE TO100 Authentic...\u001b[0m\n", + "\u001b[91m25: Guess: $220.46 Truth: $16.99 Error: $203.47 SLE: 6.30 Item: Fun Express Insect Finger Puppets - 24 f...\u001b[0m\n", + "\u001b[91m26: Guess: $220.46 Truth: $7.99 Error: $212.47 SLE: 10.27 Item: WAFJAMF Roller Stamp Identity Theft Stam...\u001b[0m\n", + "\u001b[93m27: Guess: $220.46 Truth: $199.99 Error: $20.47 SLE: 0.01 Item: Capulina Tiffany Floor Lamp 2-Light 16\" ...\u001b[0m\n", + "\u001b[93m28: Guess: $220.46 Truth: $251.45 Error: $30.99 SLE: 0.02 Item: Apple Watch Series 6 (GPS, 44mm) - Space...\u001b[0m\n", + "\u001b[92m29: Guess: $220.46 Truth: $231.62 Error: $11.16 SLE: 0.00 Item: ICON 01725 Tandem Axle Fender Skirt FS17...\u001b[0m\n", + "\u001b[91m30: Guess: $220.46 Truth: $135.00 Error: $85.46 SLE: 0.24 Item: SanDisk 128GB Ultra (10 Pack) MicroSD Cl...\u001b[0m\n", + "\u001b[91m31: Guess: $220.46 Truth: $356.62 Error: $136.16 SLE: 0.23 Item: Velvac 2020,L,C/Hr,W,E2003,102\",Bk - 715...\u001b[0m\n", + "\u001b[93m32: Guess: $220.46 Truth: $257.99 Error: $37.53 SLE: 0.02 Item: TCMT Passenger Backrest Sissy Bar & Lugg...\u001b[0m\n", + "\u001b[91m33: Guess: $220.46 Truth: $27.99 Error: $192.47 SLE: 4.13 Item: Alnicov 63.5MM Brass Tremolo Block,Tremo...\u001b[0m\n", + "\u001b[91m34: Guess: $220.46 Truth: $171.20 Error: $49.26 SLE: 0.06 Item: Subaru Forester Outback Legacy OEM Engin...\u001b[0m\n", + "\u001b[92m35: Guess: $220.46 Truth: $225.00 Error: $4.54 SLE: 0.00 Item: Richmond Auto Upholstery - 2012 Dodge Ra...\u001b[0m\n", + "\u001b[91m36: Guess: $220.46 Truth: $105.00 Error: $115.46 SLE: 0.54 Item: AP-39 Automotive Paint Primer Grey 2K Ur...\u001b[0m\n", + "\u001b[91m37: Guess: $220.46 Truth: $299.99 Error: $79.53 SLE: 0.09 Item: Road Top Wireless Carplay Retrofit Kit D...\u001b[0m\n", + "\u001b[91m38: Guess: $220.46 Truth: $535.09 Error: $314.63 SLE: 0.78 Item: Gibson Performance Exhaust 5658 Aluminiz...\u001b[0m\n", + "\u001b[91m39: Guess: $220.46 Truth: $12.33 Error: $208.13 SLE: 7.90 Item: Bella Tunno Happy Links - Baby Montessor...\u001b[0m\n", + "\u001b[91m40: Guess: $220.46 Truth: $84.99 Error: $135.47 SLE: 0.89 Item: CANMORE H300 Handheld GPS Golf Device, S...\u001b[0m\n", + "\u001b[91m41: Guess: $220.46 Truth: $15.99 Error: $204.47 SLE: 6.59 Item: DCPOWER AC Adapter Compatible Replacemen...\u001b[0m\n", + "\u001b[91m42: Guess: $220.46 Truth: $62.44 Error: $158.02 SLE: 1.56 Item: Sharp, VX2128V, Commercial Desktop Calcu...\u001b[0m\n", + "\u001b[91m43: Guess: $220.46 Truth: $82.99 Error: $137.47 SLE: 0.94 Item: Melissa & Doug Lifelike Plush Stork Gian...\u001b[0m\n", + "\u001b[91m44: Guess: $220.46 Truth: $599.95 Error: $379.49 SLE: 1.00 Item: Sony SSCS8 2-Way 3-Driver Center Channel...\u001b[0m\n", + "\u001b[93m45: Guess: $220.46 Truth: $194.99 Error: $25.47 SLE: 0.01 Item: ASUS Chromebook CX1, 14\" Full HD NanoEdg...\u001b[0m\n", + "\u001b[91m46: Guess: $220.46 Truth: $344.95 Error: $124.49 SLE: 0.20 Item: FiiO X7 32GB Hi-Res Lossless Music Playe...\u001b[0m\n", + "\u001b[91m47: Guess: $220.46 Truth: $37.99 Error: $182.47 SLE: 3.02 Item: TORRO Leather Case Compatible with iPhon...\u001b[0m\n", + "\u001b[92m48: Guess: $220.46 Truth: $224.35 Error: $3.89 SLE: 0.00 Item: Universal Air Conditioner KT 1031 A/C Co...\u001b[0m\n", + "\u001b[91m49: Guess: $220.46 Truth: $814.00 Error: $593.54 SLE: 1.70 Item: Street Series Stainless Performance Cat-...\u001b[0m\n", + "\u001b[91m50: Guess: $220.46 Truth: $439.88 Error: $219.42 SLE: 0.47 Item: Lenovo IdeaPad 3 14-inch Laptop, 14.0-in...\u001b[0m\n", + "\u001b[91m51: Guess: $220.46 Truth: $341.43 Error: $120.97 SLE: 0.19 Item: Access Bed Covers TonnoSport 22050219 - ...\u001b[0m\n", + "\u001b[91m52: Guess: $220.46 Truth: $46.78 Error: $173.68 SLE: 2.35 Item: G.I. JOE Hasbro 3 3/4\" Wave 5 Action Fig...\u001b[0m\n", + "\u001b[91m53: Guess: $220.46 Truth: $171.44 Error: $49.02 SLE: 0.06 Item: T&S Brass B-0232-BST Double Pantry Fauce...\u001b[0m\n", + "\u001b[91m54: Guess: $220.46 Truth: $458.00 Error: $237.54 SLE: 0.53 Item: ZTUOAUMA Fuel Injection Pump 3090942 309...\u001b[0m\n", + "\u001b[91m55: Guess: $220.46 Truth: $130.75 Error: $89.71 SLE: 0.27 Item: 2AP18AA#ABA Hp Prime Graphing Calculator...\u001b[0m\n", + "\u001b[91m56: Guess: $220.46 Truth: $83.81 Error: $136.65 SLE: 0.92 Item: Lowrance 000-0119-83 Nmea 2000 25' Exten...\u001b[0m\n", + "\u001b[91m57: Guess: $220.46 Truth: $386.39 Error: $165.93 SLE: 0.31 Item: Jeep Genuine Accessories 82213051 Hood L...\u001b[0m\n", + "\u001b[91m58: Guess: $220.46 Truth: $169.00 Error: $51.46 SLE: 0.07 Item: GODOX CB-06 Hard Carrying Case with Whee...\u001b[0m\n", + "\u001b[91m59: Guess: $220.46 Truth: $17.95 Error: $202.51 SLE: 6.04 Item: Au-Tomotive Gold, INC. Ford Black Valet ...\u001b[0m\n", + "\u001b[91m60: Guess: $220.46 Truth: $269.00 Error: $48.54 SLE: 0.04 Item: Snailfly Black Roof Rack Rail + Cross Ba...\u001b[0m\n", + "\u001b[91m61: Guess: $220.46 Truth: $77.77 Error: $142.69 SLE: 1.07 Item: KING SHA Anti Glare LED Track Lighting H...\u001b[0m\n", + "\u001b[91m62: Guess: $220.46 Truth: $88.99 Error: $131.47 SLE: 0.81 Item: APS Compatible with Chevy Silverado 1500...\u001b[0m\n", + "\u001b[91m63: Guess: $220.46 Truth: $364.41 Error: $143.95 SLE: 0.25 Item: Wilwood Engineering 14011291R Brake Cali...\u001b[0m\n", + "\u001b[91m64: Guess: $220.46 Truth: $127.03 Error: $93.43 SLE: 0.30 Item: ACDelco Gold 336-1925A Starter, Remanufa...\u001b[0m\n", + "\u001b[91m65: Guess: $220.46 Truth: $778.95 Error: $558.49 SLE: 1.59 Item: UWS EC10783 69-Inch Matte Black Heavy-Wa...\u001b[0m\n", + "\u001b[92m66: Guess: $220.46 Truth: $206.66 Error: $13.80 SLE: 0.00 Item: Dell Latitude E5440 14in Business Laptop...\u001b[0m\n", + "\u001b[91m67: Guess: $220.46 Truth: $35.94 Error: $184.52 SLE: 3.21 Item: (Plug and Play) Spare Tire Brake Light W...\u001b[0m\n", + "\u001b[91m68: Guess: $220.46 Truth: $149.00 Error: $71.46 SLE: 0.15 Item: The Ultimate Roadside Rescue Assistant\u001b[0m\n", + "\u001b[93m69: Guess: $220.46 Truth: $251.98 Error: $31.52 SLE: 0.02 Item: Brand New 18\" x 8.5\" Replacement Wheel f...\u001b[0m\n", + "\u001b[91m70: Guess: $220.46 Truth: $160.00 Error: $60.46 SLE: 0.10 Item: Headlight Headlamp LH Left & RH Right Pa...\u001b[0m\n", + "\u001b[91m71: Guess: $220.46 Truth: $39.99 Error: $180.47 SLE: 2.85 Item: Lilo And Stitch Deluxe Oversize Print La...\u001b[0m\n", + "\u001b[91m72: Guess: $220.46 Truth: $362.41 Error: $141.95 SLE: 0.25 Item: AC Compressor & A/C Clutch For Hyundai A...\u001b[0m\n", + "\u001b[91m73: Guess: $220.46 Truth: $344.00 Error: $123.54 SLE: 0.20 Item: House Of Troy PIN475-AB Pinnacle Collect...\u001b[0m\n", + "\u001b[91m74: Guess: $220.46 Truth: $25.09 Error: $195.37 SLE: 4.57 Item: Juno T29 WH Floating Electrical Feed Sin...\u001b[0m\n", + "\u001b[91m75: Guess: $220.46 Truth: $175.95 Error: $44.51 SLE: 0.05 Item: Sherman GO-PARTS - for 2013-2016 Toyota ...\u001b[0m\n", + "\u001b[91m76: Guess: $220.46 Truth: $132.64 Error: $87.82 SLE: 0.26 Item: Roland RPU-3 Electronic Keyboard Pedal o...\u001b[0m\n", + "\u001b[91m77: Guess: $220.46 Truth: $422.99 Error: $202.53 SLE: 0.42 Item: Rockland VMI14 12,000 Pound 12 Volt DC E...\u001b[0m\n", + "\u001b[91m78: Guess: $220.46 Truth: $146.48 Error: $73.98 SLE: 0.17 Item: Max Advanced Brakes Elite XDS Front Cros...\u001b[0m\n", + "\u001b[91m79: Guess: $220.46 Truth: $156.83 Error: $63.63 SLE: 0.11 Item: Quality-Built 11030 Premium Quality Alte...\u001b[0m\n", + "\u001b[93m80: Guess: $220.46 Truth: $251.99 Error: $31.53 SLE: 0.02 Item: Lucida LG-510 Student Classical Guitar, ...\u001b[0m\n", + "\u001b[91m81: Guess: $220.46 Truth: $940.33 Error: $719.87 SLE: 2.09 Item: Longacre 52-79800 Aluminum Turn Plates\u001b[0m\n", + "\u001b[91m82: Guess: $220.46 Truth: $52.99 Error: $167.47 SLE: 1.99 Item: Motion Pro 08-0380 Adjustable Torque Wre...\u001b[0m\n", + "\u001b[92m83: Guess: $220.46 Truth: $219.95 Error: $0.51 SLE: 0.00 Item: Glyph Thunderbolt 3 NVMe Dock (0 GB)\u001b[0m\n", + "\u001b[91m84: Guess: $220.46 Truth: $441.03 Error: $220.57 SLE: 0.48 Item: TOYO Open Country MT Performance Radial ...\u001b[0m\n", + "\u001b[91m85: Guess: $220.46 Truth: $168.98 Error: $51.48 SLE: 0.07 Item: Razer Seiren X USB Streaming Microphone ...\u001b[0m\n", + "\u001b[91m86: Guess: $220.46 Truth: $2.49 Error: $217.97 SLE: 17.23 Item: Happy Birthday to Dad From Your Daughter...\u001b[0m\n", + "\u001b[91m87: Guess: $220.46 Truth: $98.62 Error: $121.84 SLE: 0.64 Item: Little Tikes My Real Jam First Concert S...\u001b[0m\n", + "\u001b[93m88: Guess: $220.46 Truth: $256.95 Error: $36.49 SLE: 0.02 Item: Studio M Peace and Harmony Art Pole Comm...\u001b[0m\n", + "\u001b[91m89: Guess: $220.46 Truth: $30.99 Error: $189.47 SLE: 3.74 Item: MyVolts 12V Power Supply Adaptor Compati...\u001b[0m\n", + "\u001b[91m90: Guess: $220.46 Truth: $569.84 Error: $349.38 SLE: 0.90 Item: Dell Latitude 7212 Rugged Extreme Tablet...\u001b[0m\n", + "\u001b[91m91: Guess: $220.46 Truth: $177.99 Error: $42.47 SLE: 0.05 Item: Covermates Contour Fit Car Cover - Light...\u001b[0m\n", + "\u001b[91m92: Guess: $220.46 Truth: $997.99 Error: $777.53 SLE: 2.27 Item: Westin 57-4025 Black HDX Grille Guard fi...\u001b[0m\n", + "\u001b[92m93: Guess: $220.46 Truth: $219.00 Error: $1.46 SLE: 0.00 Item: Fieldpiece JL2 Job Link Wireless App Tra...\u001b[0m\n", + "\u001b[92m94: Guess: $220.46 Truth: $225.55 Error: $5.09 SLE: 0.00 Item: hansgrohe Talis S Modern Premium Easy Cl...\u001b[0m\n", + "\u001b[91m95: Guess: $220.46 Truth: $495.95 Error: $275.49 SLE: 0.65 Item: G-Technology G-SPEED eS PRO High-Perform...\u001b[0m\n", + "\u001b[91m96: Guess: $220.46 Truth: $942.37 Error: $721.91 SLE: 2.10 Item: DreamLine SHDR-1960723L-01 Shower Door, ...\u001b[0m\n", + "\u001b[91m97: Guess: $220.46 Truth: $1.94 Error: $218.52 SLE: 18.68 Item: Sanctuary Square Backplate Finish: Oiled...\u001b[0m\n", + "\u001b[91m98: Guess: $220.46 Truth: $284.34 Error: $63.88 SLE: 0.06 Item: Pelican Protector 1750 Long Case - Multi...\u001b[0m\n", + "\u001b[91m99: Guess: $220.46 Truth: $171.90 Error: $48.56 SLE: 0.06 Item: Brock Replacement Driver and Passenger H...\u001b[0m\n", + "\u001b[91m100: Guess: $220.46 Truth: $144.99 Error: $75.47 SLE: 0.17 Item: Carlinkit Ai Box Mini, Android 11, Multi...\u001b[0m\n", + "\u001b[91m101: Guess: $220.46 Truth: $470.47 Error: $250.01 SLE: 0.57 Item: StarDot NetCamLIVE2 YouTube Live Stream ...\u001b[0m\n", + "\u001b[91m102: Guess: $220.46 Truth: $66.95 Error: $153.51 SLE: 1.40 Item: Atomic Compatible FILXXCAR0016 16x25x5 M...\u001b[0m\n", + "\u001b[91m103: Guess: $220.46 Truth: $117.00 Error: $103.46 SLE: 0.40 Item: Bandai Awakening of S. H. s.h.figuarts s...\u001b[0m\n", + "\u001b[91m104: Guess: $220.46 Truth: $172.14 Error: $48.32 SLE: 0.06 Item: Fit System 62135G Passenger Side Towing ...\u001b[0m\n", + "\u001b[91m105: Guess: $220.46 Truth: $392.74 Error: $172.28 SLE: 0.33 Item: Black Horse Black Aluminum Exceed Runnin...\u001b[0m\n", + "\u001b[91m106: Guess: $220.46 Truth: $16.99 Error: $203.47 SLE: 6.30 Item: Dearsun Twinkle Star Color Night Light P...\u001b[0m\n", + "\u001b[91m107: Guess: $220.46 Truth: $1.34 Error: $219.12 SLE: 20.70 Item: Pokemon - Gallade Spirit Link (83/108) -...\u001b[0m\n", + "\u001b[91m108: Guess: $220.46 Truth: $349.98 Error: $129.52 SLE: 0.21 Item: Ibanez GA34STCE-NT GIO Series Classical ...\u001b[0m\n", + "\u001b[91m109: Guess: $220.46 Truth: $370.71 Error: $150.25 SLE: 0.27 Item: Set 2 Heavy Duty 12-16.5 12x16.5 12 Ply ...\u001b[0m\n", + "\u001b[91m110: Guess: $220.46 Truth: $65.88 Error: $154.58 SLE: 1.43 Item: Hairpin Table Legs 28\" Heavy Duty Hairpi...\u001b[0m\n", + "\u001b[92m111: Guess: $220.46 Truth: $229.99 Error: $9.53 SLE: 0.00 Item: Marada Racing Seat with Adjustable Slide...\u001b[0m\n", + "\u001b[91m112: Guess: $220.46 Truth: $9.14 Error: $211.32 SLE: 9.51 Item: Remington Industries 24UL1007STRWHI25 24...\u001b[0m\n", + "\u001b[93m113: Guess: $220.46 Truth: $199.00 Error: $21.46 SLE: 0.01 Item: Acer S3-391-6046 13.3-inch Ultrabook, In...\u001b[0m\n", + "\u001b[91m114: Guess: $220.46 Truth: $109.99 Error: $110.47 SLE: 0.48 Item: ICBEAMER 7\" RGB LED Headlights Bulb Halo...\u001b[0m\n", + "\u001b[91m115: Guess: $220.46 Truth: $570.42 Error: $349.96 SLE: 0.90 Item: R1 Concepts Front Rear Brakes and Rotors...\u001b[0m\n", + "\u001b[91m116: Guess: $220.46 Truth: $279.99 Error: $59.53 SLE: 0.06 Item: Camplux 2.64 GPM Tankless , Outdoor Port...\u001b[0m\n", + "\u001b[91m117: Guess: $220.46 Truth: $30.99 Error: $189.47 SLE: 3.74 Item: KNOKLOCK 10 Pack 3.75 Inch(96mm) Kitchen...\u001b[0m\n", + "\u001b[91m118: Guess: $220.46 Truth: $31.99 Error: $188.47 SLE: 3.63 Item: Valley Enterprises Yaesu USB FTDI CT-62 ...\u001b[0m\n", + "\u001b[91m119: Guess: $220.46 Truth: $15.90 Error: $204.56 SLE: 6.62 Item: G9 LED Light Bulbs,8W,75W 100W replaceme...\u001b[0m\n", + "\u001b[91m120: Guess: $220.46 Truth: $45.99 Error: $174.47 SLE: 2.40 Item: ZCHAOZ 4 Lights Antique White Farmhouse ...\u001b[0m\n", + "\u001b[91m121: Guess: $220.46 Truth: $113.52 Error: $106.94 SLE: 0.43 Item: Honeywell TH8320R1003 Honeywell VisionPr...\u001b[0m\n", + "\u001b[91m122: Guess: $220.46 Truth: $516.99 Error: $296.53 SLE: 0.72 Item: Patriot Exhaust H8013-1 1-7/8\" Clippster...\u001b[0m\n", + "\u001b[93m123: Guess: $220.46 Truth: $196.99 Error: $23.47 SLE: 0.01 Item: Fitrite Autopart New Front Left Driver S...\u001b[0m\n", + "\u001b[91m124: Guess: $220.46 Truth: $46.55 Error: $173.91 SLE: 2.37 Item: Technical Precision Replacement for GE G...\u001b[0m\n", + "\u001b[91m125: Guess: $220.46 Truth: $356.99 Error: $136.53 SLE: 0.23 Item: Covercraft Carhartt SeatSaver Front Row ...\u001b[0m\n", + "\u001b[91m126: Guess: $220.46 Truth: $319.95 Error: $99.49 SLE: 0.14 Item: Sennheiser SD Pro 2 (506008) - Double-Si...\u001b[0m\n", + "\u001b[91m127: Guess: $220.46 Truth: $96.06 Error: $124.40 SLE: 0.68 Item: Hitachi MAF0110 Mass Air Flow Sensor\u001b[0m\n", + "\u001b[93m128: Guess: $220.46 Truth: $190.99 Error: $29.47 SLE: 0.02 Item: AmScope SE305R-P-LED-PS36A 10X-30X LED C...\u001b[0m\n", + "\u001b[93m129: Guess: $220.46 Truth: $257.95 Error: $37.49 SLE: 0.02 Item: Front Left Driver Side Window Regulator ...\u001b[0m\n", + "\u001b[91m130: Guess: $220.46 Truth: $62.95 Error: $157.51 SLE: 1.54 Item: Premium Replica Hubcap Set, Fits Nissan ...\u001b[0m\n", + "\u001b[91m131: Guess: $220.46 Truth: $47.66 Error: $172.80 SLE: 2.30 Item: Excellerations Phonics Spelling Game for...\u001b[0m\n", + "\u001b[92m132: Guess: $220.46 Truth: $226.99 Error: $6.53 SLE: 0.00 Item: RC4WD BigDog Dual Axle Scale Car/Truck T...\u001b[0m\n", + "\u001b[91m133: Guess: $220.46 Truth: $359.95 Error: $139.49 SLE: 0.24 Item: Unknown Stage 2 Clutch Kit - Low Altitud...\u001b[0m\n", + "\u001b[91m134: Guess: $220.46 Truth: $78.40 Error: $142.06 SLE: 1.05 Item: 2002-2008 Dodge Ram 1500 Mopar 4X4 Emble...\u001b[0m\n", + "\u001b[91m135: Guess: $220.46 Truth: $172.77 Error: $47.69 SLE: 0.06 Item: Pro Comp Alloys Series 89 Wheel with Pol...\u001b[0m\n", + "\u001b[91m136: Guess: $220.46 Truth: $316.45 Error: $95.99 SLE: 0.13 Item: Detroit Axle - Front Rear Strut & Coil S...\u001b[0m\n", + "\u001b[91m137: Guess: $220.46 Truth: $87.99 Error: $132.47 SLE: 0.83 Item: ECCPP Rear Wheel Axle Replacement fit fo...\u001b[0m\n", + "\u001b[92m138: Guess: $220.46 Truth: $226.63 Error: $6.17 SLE: 0.00 Item: Dell Latitude E6520 Intel i7-2720QM 2.20...\u001b[0m\n", + "\u001b[91m139: Guess: $220.46 Truth: $31.49 Error: $188.97 SLE: 3.68 Item: F FIERCE CYCLE 251pcs Black Universal Mo...\u001b[0m\n", + "\u001b[93m140: Guess: $220.46 Truth: $196.00 Error: $24.46 SLE: 0.01 Item: Flash Furniture 4 Pk. HERCULES Series 88...\u001b[0m\n", + "\u001b[91m141: Guess: $220.46 Truth: $78.40 Error: $142.06 SLE: 1.05 Item: B&M 30287 Throttle Valve/Kickdown Cable,...\u001b[0m\n", + "\u001b[91m142: Guess: $220.46 Truth: $116.25 Error: $104.21 SLE: 0.40 Item: Gates TCK226 PowerGrip Premium Timing Be...\u001b[0m\n", + "\u001b[91m143: Guess: $220.46 Truth: $112.78 Error: $107.68 SLE: 0.44 Item: Monroe Shocks & Struts Quick-Strut 17149...\u001b[0m\n", + "\u001b[91m144: Guess: $220.46 Truth: $27.32 Error: $193.14 SLE: 4.23 Item: Feit Electric BPMR16/GU10/930CA/6 35W EQ...\u001b[0m\n", + "\u001b[91m145: Guess: $220.46 Truth: $145.91 Error: $74.55 SLE: 0.17 Item: Yellow Jacket 2806 Contractor Extension ...\u001b[0m\n", + "\u001b[91m146: Guess: $220.46 Truth: $171.09 Error: $49.37 SLE: 0.06 Item: Garage-Pro Tailgate SET Compatible with ...\u001b[0m\n", + "\u001b[91m147: Guess: $220.46 Truth: $167.95 Error: $52.51 SLE: 0.07 Item: 3M Perfect It Buffing and Polishing Kit ...\u001b[0m\n", + "\u001b[91m148: Guess: $220.46 Truth: $28.49 Error: $191.97 SLE: 4.06 Item: Chinese Style Dollhouse Model DIY Miniat...\u001b[0m\n", + "\u001b[91m149: Guess: $220.46 Truth: $122.23 Error: $98.23 SLE: 0.34 Item: Generic NRG Innovations SRK-161H Steerin...\u001b[0m\n", + "\u001b[91m150: Guess: $220.46 Truth: $32.99 Error: $187.47 SLE: 3.51 Item: Learning Resources Coding Critters Range...\u001b[0m\n", + "\u001b[91m151: Guess: $220.46 Truth: $71.20 Error: $149.26 SLE: 1.26 Item: Bosch Automotive 15463 Oxygen Sensor, OE...\u001b[0m\n", + "\u001b[91m152: Guess: $220.46 Truth: $112.75 Error: $107.71 SLE: 0.44 Item: Case of 24-2 Inch Blue Painters Tape - 6...\u001b[0m\n", + "\u001b[91m153: Guess: $220.46 Truth: $142.43 Error: $78.03 SLE: 0.19 Item: MOCA Engine Water Pump & Fan Clutch fit ...\u001b[0m\n", + "\u001b[91m154: Guess: $220.46 Truth: $398.99 Error: $178.53 SLE: 0.35 Item: SAREMAS Foot Step Bars for Hyundai Palis...\u001b[0m\n", + "\u001b[91m155: Guess: $220.46 Truth: $449.00 Error: $228.54 SLE: 0.50 Item: Gretsch G9210 Square Neck Boxcar Mahogan...\u001b[0m\n", + "\u001b[93m156: Guess: $220.46 Truth: $189.00 Error: $31.46 SLE: 0.02 Item: NikoMaku Mirror Dash Cam Front and Rear ...\u001b[0m\n", + "\u001b[91m157: Guess: $220.46 Truth: $120.91 Error: $99.55 SLE: 0.36 Item: Fenix HP25R v2.0 USB-C Rechargeable Head...\u001b[0m\n", + "\u001b[92m158: Guess: $220.46 Truth: $203.53 Error: $16.93 SLE: 0.01 Item: R&L Racing Heavy Duty Roll-Up Soft Tonne...\u001b[0m\n", + "\u001b[91m159: Guess: $220.46 Truth: $349.99 Error: $129.53 SLE: 0.21 Item: Garmin 010-02258-10 GPSMAP 64sx, Handhel...\u001b[0m\n", + "\u001b[91m160: Guess: $220.46 Truth: $34.35 Error: $186.11 SLE: 3.37 Item: Brown 5-7/8\" X 8-1/2\" X 3/16\" Thick Heav...\u001b[0m\n", + "\u001b[91m161: Guess: $220.46 Truth: $384.99 Error: $164.53 SLE: 0.31 Item: GAOMON PD2200 Pen Display & 20 Pen Nibs ...\u001b[0m\n", + "\u001b[92m162: Guess: $220.46 Truth: $211.00 Error: $9.46 SLE: 0.00 Item: VXMOTOR for 97-03 Ford F150/F250 Lightdu...\u001b[0m\n", + "\u001b[91m163: Guess: $220.46 Truth: $129.00 Error: $91.46 SLE: 0.28 Item: HP EliteBook 2540p Intel Core i7-640LM X...\u001b[0m\n", + "\u001b[91m164: Guess: $220.46 Truth: $111.45 Error: $109.01 SLE: 0.46 Item: Green EPX Mixing Nozzles 100-Pack-fits 3...\u001b[0m\n", + "\u001b[91m165: Guess: $220.46 Truth: $81.12 Error: $139.34 SLE: 0.98 Item: Box Partners 6 1/4 x 3 1/8\" 13 Pt. Manil...\u001b[0m\n", + "\u001b[91m166: Guess: $220.46 Truth: $457.08 Error: $236.62 SLE: 0.53 Item: Vixen Air 1/2\" NPT Air Ride Suspension H...\u001b[0m\n", + "\u001b[91m167: Guess: $220.46 Truth: $49.49 Error: $170.97 SLE: 2.19 Item: Smart Floor Lamp, 2700-6500K+RGBPink Mul...\u001b[0m\n", + "\u001b[91m168: Guess: $220.46 Truth: $80.56 Error: $139.90 SLE: 1.00 Item: SOZG 324mm Wheelbase Body Shell RC Car B...\u001b[0m\n", + "\u001b[91m169: Guess: $220.46 Truth: $278.39 Error: $57.93 SLE: 0.05 Item: Mickey Thompson ET Street S/S Racing Rad...\u001b[0m\n", + "\u001b[91m170: Guess: $220.46 Truth: $364.50 Error: $144.04 SLE: 0.25 Item: Pirelli 275/40R20 106W XL RFT P0 PZ4-LUX...\u001b[0m\n", + "\u001b[91m171: Guess: $220.46 Truth: $378.99 Error: $158.53 SLE: 0.29 Item: Torklift C3212 Rear Tie Down\u001b[0m\n", + "\u001b[91m172: Guess: $220.46 Truth: $165.28 Error: $55.18 SLE: 0.08 Item: Cardone 78-4226 Remanufactured Ford Comp...\u001b[0m\n", + "\u001b[91m173: Guess: $220.46 Truth: $56.74 Error: $163.72 SLE: 1.81 Item: Kidde AccessPoint 001798 Supra TouchPoin...\u001b[0m\n", + "\u001b[91m174: Guess: $220.46 Truth: $307.95 Error: $87.49 SLE: 0.11 Item: 3M Protecta 3100414 Self Retracting Life...\u001b[0m\n", + "\u001b[91m175: Guess: $220.46 Truth: $38.00 Error: $182.46 SLE: 3.02 Item: Plantronics 89435-01 Wired Headset, Blac...\u001b[0m\n", + "\u001b[91m176: Guess: $220.46 Truth: $53.00 Error: $167.46 SLE: 1.99 Item: Logitech K750 Wireless Solar Keyboard fo...\u001b[0m\n", + "\u001b[91m177: Guess: $220.46 Truth: $498.00 Error: $277.54 SLE: 0.66 Item: Olympus PEN E-PL9 Body Only with 3-Inch ...\u001b[0m\n", + "\u001b[91m178: Guess: $220.46 Truth: $53.99 Error: $166.47 SLE: 1.94 Item: Beck/Arnley 051-6066 Hub & Bearing Assem...\u001b[0m\n", + "\u001b[91m179: Guess: $220.46 Truth: $350.00 Error: $129.54 SLE: 0.21 Item: Eibach Pro-Kit Performance Springs E10-6...\u001b[0m\n", + "\u001b[91m180: Guess: $220.46 Truth: $299.95 Error: $79.49 SLE: 0.09 Item: LEGO DC Batman 1989 Batwing 76161 Displa...\u001b[0m\n", + "\u001b[91m181: Guess: $220.46 Truth: $94.93 Error: $125.53 SLE: 0.70 Item: Kingston Brass KS3608PL Restoration 4-In...\u001b[0m\n", + "\u001b[91m182: Guess: $220.46 Truth: $379.00 Error: $158.54 SLE: 0.29 Item: Polk Vanishing Series 265-LS In-Wall 3-W...\u001b[0m\n", + "\u001b[91m183: Guess: $220.46 Truth: $299.95 Error: $79.49 SLE: 0.09 Item: Spec-D Tuning LED Projector Headlights G...\u001b[0m\n", + "\u001b[91m184: Guess: $220.46 Truth: $24.99 Error: $195.47 SLE: 4.59 Item: RICHMOND & FINCH Airpod Pro Case, Green ...\u001b[0m\n", + "\u001b[91m185: Guess: $220.46 Truth: $41.04 Error: $179.42 SLE: 2.76 Item: LFA Industries 43B-5A-33JT 1/16-1/2-1.5-...\u001b[0m\n", + "\u001b[91m186: Guess: $220.46 Truth: $327.90 Error: $107.44 SLE: 0.16 Item: SAUTVS LED Headlight Assembly for Slings...\u001b[0m\n", + "\u001b[91m187: Guess: $220.46 Truth: $10.99 Error: $209.47 SLE: 8.50 Item: 2 Pack Combo Womens Safety Glasses Impac...\u001b[0m\n", + "\u001b[91m188: Guess: $220.46 Truth: $14.99 Error: $205.47 SLE: 6.91 Item: Arepa - Venezuelan cuisine - Venezuela P...\u001b[0m\n", + "\u001b[91m189: Guess: $220.46 Truth: $84.95 Error: $135.51 SLE: 0.90 Item: Schlage Lock Company KS23D2300 Padlock, ...\u001b[0m\n", + "\u001b[91m190: Guess: $220.46 Truth: $111.00 Error: $109.46 SLE: 0.46 Item: Techni Mobili White Sit to Stand Mobile ...\u001b[0m\n", + "\u001b[91m191: Guess: $220.46 Truth: $123.73 Error: $96.73 SLE: 0.33 Item: Special Lite Products Contemporary Wall ...\u001b[0m\n", + "\u001b[91m192: Guess: $220.46 Truth: $557.38 Error: $336.92 SLE: 0.86 Item: Tascam DP-24SD 24-Track Digital Portastu...\u001b[0m\n", + "\u001b[91m193: Guess: $220.46 Truth: $95.55 Error: $124.91 SLE: 0.69 Item: Glow Lighting 636CC10SP Vista Crystal Fl...\u001b[0m\n", + "\u001b[91m194: Guess: $220.46 Truth: $154.00 Error: $66.46 SLE: 0.13 Item: Z3 Wind Deflector, Smoke Tint, Lexan, Wi...\u001b[0m\n", + "\u001b[93m195: Guess: $220.46 Truth: $198.99 Error: $21.47 SLE: 0.01 Item: Olympus E-20 5MP Digital Camera w/ 4x Op...\u001b[0m\n", + "\u001b[91m196: Guess: $220.46 Truth: $430.44 Error: $209.98 SLE: 0.44 Item: PHYNEDI 1:1000 World Trade Center (1973-...\u001b[0m\n", + "\u001b[91m197: Guess: $220.46 Truth: $45.67 Error: $174.79 SLE: 2.42 Item: YANGHUAN Unstable Unicorns Adventure Car...\u001b[0m\n", + "\u001b[93m198: Guess: $220.46 Truth: $249.00 Error: $28.54 SLE: 0.01 Item: Interlogix NX-1820E NetworX Touch Screen...\u001b[0m\n", + "\u001b[91m199: Guess: $220.46 Truth: $42.99 Error: $177.47 SLE: 2.61 Item: Steering Damper,Universal Motorcycle Han...\u001b[0m\n", + "\u001b[93m200: Guess: $220.46 Truth: $181.33 Error: $39.13 SLE: 0.04 Item: Amprobe TIC 410A Hot Stick Attachment\u001b[0m\n", + "\u001b[91m201: Guess: $220.46 Truth: $6.03 Error: $214.43 SLE: 11.90 Item: MyCableMart 3.5mm Plug/Jack, 4 Conductor...\u001b[0m\n", + "\u001b[91m202: Guess: $220.46 Truth: $29.99 Error: $190.47 SLE: 3.87 Item: OtterBox + Pop Symmetry Series Case for ...\u001b[0m\n", + "\u001b[91m203: Guess: $220.46 Truth: $899.00 Error: $678.54 SLE: 1.97 Item: Dell XPS X8700-1572BLK Desktop ( Intel C...\u001b[0m\n", + "\u001b[91m204: Guess: $220.46 Truth: $399.99 Error: $179.53 SLE: 0.35 Item: Franklin Iron Works Sperry Industrial Br...\u001b[0m\n", + "\u001b[91m205: Guess: $220.46 Truth: $4.66 Error: $215.80 SLE: 13.45 Item: Avery Legal Dividers, Standard Collated ...\u001b[0m\n", + "\u001b[91m206: Guess: $220.46 Truth: $261.41 Error: $40.95 SLE: 0.03 Item: Moen 8346 Commercial Posi-Temp Pressure ...\u001b[0m\n", + "\u001b[91m207: Guess: $220.46 Truth: $136.97 Error: $83.49 SLE: 0.22 Item: Carlisle Versa Trail ATR All Terrain Rad...\u001b[0m\n", + "\u001b[91m208: Guess: $220.46 Truth: $79.00 Error: $141.46 SLE: 1.04 Item: SUNWAYFOTO 44mm Tripod Ball Head Arca Co...\u001b[0m\n", + "\u001b[91m209: Guess: $220.46 Truth: $444.99 Error: $224.53 SLE: 0.49 Item: NanoBeam AC NBE-5AC-Gen2-US 4 Units 5GHz...\u001b[0m\n", + "\u001b[91m210: Guess: $220.46 Truth: $411.94 Error: $191.48 SLE: 0.39 Item: WULF 4\" Front 2\" Rear Leveling Lift Kit ...\u001b[0m\n", + "\u001b[91m211: Guess: $220.46 Truth: $148.40 Error: $72.06 SLE: 0.15 Item: Alera ALEVABFMC Valencia Series Mobile B...\u001b[0m\n", + "\u001b[93m212: Guess: $220.46 Truth: $244.99 Error: $24.53 SLE: 0.01 Item: YU-GI-OH! Ignition Assault Booster Box\u001b[0m\n", + "\u001b[91m213: Guess: $220.46 Truth: $86.50 Error: $133.96 SLE: 0.86 Item: 48\" x 36\" Extra-Large Framed Magnetic Bl...\u001b[0m\n", + "\u001b[91m214: Guess: $220.46 Truth: $297.95 Error: $77.49 SLE: 0.09 Item: Dell Latitude D620 Renewed Notebook PC\u001b[0m\n", + "\u001b[91m215: Guess: $220.46 Truth: $399.99 Error: $179.53 SLE: 0.35 Item: acer Aspire 5 Laptop, AMD Ryzen 3 5300U ...\u001b[0m\n", + "\u001b[91m216: Guess: $220.46 Truth: $599.00 Error: $378.54 SLE: 0.99 Item: Elk 31080/6RC-GRN 30 by 6-Inch Viva 6-Li...\u001b[0m\n", + "\u001b[91m217: Guess: $220.46 Truth: $105.99 Error: $114.47 SLE: 0.53 Item: Barbie Top Model Doll\u001b[0m\n", + "\u001b[91m218: Guess: $220.46 Truth: $689.00 Error: $468.54 SLE: 1.29 Item: Danby Designer 20-In. Electric Range wit...\u001b[0m\n", + "\u001b[91m219: Guess: $220.46 Truth: $404.99 Error: $184.53 SLE: 0.37 Item: FixtureDisplays® Metal Truss Podium Doub...\u001b[0m\n", + "\u001b[92m220: Guess: $220.46 Truth: $207.76 Error: $12.70 SLE: 0.00 Item: ACDelco 13597235 GM Original Equipment A...\u001b[0m\n", + "\u001b[91m221: Guess: $220.46 Truth: $171.82 Error: $48.64 SLE: 0.06 Item: EBC S1KF1135 Stage-1 Premium Street Brak...\u001b[0m\n", + "\u001b[91m222: Guess: $220.46 Truth: $293.24 Error: $72.78 SLE: 0.08 Item: FXR Men's Boost FX Jacket (Black/Orange/...\u001b[0m\n", + "\u001b[91m223: Guess: $220.46 Truth: $374.95 Error: $154.49 SLE: 0.28 Item: SuperATV Scratch Resistant 3-in-1 Flip W...\u001b[0m\n", + "\u001b[91m224: Guess: $220.46 Truth: $111.99 Error: $108.47 SLE: 0.45 Item: SBU 3 Layer All Weather Mini Van Car Cov...\u001b[0m\n", + "\u001b[91m225: Guess: $220.46 Truth: $42.99 Error: $177.47 SLE: 2.61 Item: 2 Pack Outdoor Brochure Holder Advertisi...\u001b[0m\n", + "\u001b[91m226: Guess: $220.46 Truth: $116.71 Error: $103.75 SLE: 0.40 Item: Monroe Shocks & Struts Quick-Strut 17158...\u001b[0m\n", + "\u001b[91m227: Guess: $220.46 Truth: $118.61 Error: $101.85 SLE: 0.38 Item: Elements of Design Magellan EB235AL Thre...\u001b[0m\n", + "\u001b[91m228: Guess: $220.46 Truth: $147.12 Error: $73.34 SLE: 0.16 Item: GM Genuine Parts 15-62961 Air Conditioni...\u001b[0m\n", + "\u001b[91m229: Guess: $220.46 Truth: $119.99 Error: $100.47 SLE: 0.37 Item: Baseus 17-in-1 USB C Docking Station to ...\u001b[0m\n", + "\u001b[91m230: Guess: $220.46 Truth: $369.98 Error: $149.52 SLE: 0.27 Item: Whitehall™ Personalized Whitehall Capito...\u001b[0m\n", + "\u001b[91m231: Guess: $220.46 Truth: $315.55 Error: $95.09 SLE: 0.13 Item: Pro Circuit Works Pipe PY05250 for 02-19...\u001b[0m\n", + "\u001b[93m232: Guess: $220.46 Truth: $190.99 Error: $29.47 SLE: 0.02 Item: HYANKA 15 \"1200W Professional DJ Speaker...\u001b[0m\n", + "\u001b[91m233: Guess: $220.46 Truth: $155.00 Error: $65.46 SLE: 0.12 Item: Bluetooth X6BT Card Reader Writer Encode...\u001b[0m\n", + "\u001b[91m234: Guess: $220.46 Truth: $349.99 Error: $129.53 SLE: 0.21 Item: AIRAID Cold Air Intake System by K&N: In...\u001b[0m\n", + "\u001b[93m235: Guess: $220.46 Truth: $249.99 Error: $29.53 SLE: 0.02 Item: Bostingner Shower Faucets Sets Complete,...\u001b[0m\n", + "\u001b[91m236: Guess: $220.46 Truth: $42.99 Error: $177.47 SLE: 2.61 Item: PIT66 Front Bumper Turn Signal Lights, C...\u001b[0m\n", + "\u001b[91m237: Guess: $220.46 Truth: $17.99 Error: $202.47 SLE: 6.03 Item: Caseology Bumpy Compatible with Google P...\u001b[0m\n", + "\u001b[91m238: Guess: $220.46 Truth: $425.00 Error: $204.54 SLE: 0.43 Item: Fleck 2510 Timer Mechanical Filter Contr...\u001b[0m\n", + "\u001b[93m239: Guess: $220.46 Truth: $249.99 Error: $29.53 SLE: 0.02 Item: Haloview MC7108 Wireless RV Backup Camer...\u001b[0m\n", + "\u001b[91m240: Guess: $220.46 Truth: $138.23 Error: $82.23 SLE: 0.22 Item: Schmidt Spiele - Manhattan\u001b[0m\n", + "\u001b[91m241: Guess: $220.46 Truth: $414.99 Error: $194.53 SLE: 0.40 Item: Corsa 14333 Tip Kit (Ford Mustang GT)\u001b[0m\n", + "\u001b[91m242: Guess: $220.46 Truth: $168.28 Error: $52.18 SLE: 0.07 Item: Hoshizaki FM116A Fan Motor Kit 1\u001b[0m\n", + "\u001b[93m243: Guess: $220.46 Truth: $199.99 Error: $20.47 SLE: 0.01 Item: BAINUO Antler Chandelier Lighting,6 Ligh...\u001b[0m\n", + "\u001b[91m244: Guess: $220.46 Truth: $126.70 Error: $93.76 SLE: 0.30 Item: DNA MOTORING HL-OH-FEXP06-SM-AM Smoke Le...\u001b[0m\n", + "\u001b[91m245: Guess: $220.46 Truth: $5.91 Error: $214.55 SLE: 12.02 Item: Wera Stainless 3840/1 TS 2.5mm Hex Inser...\u001b[0m\n", + "\u001b[93m246: Guess: $220.46 Truth: $193.06 Error: $27.40 SLE: 0.02 Item: Celestron - PowerSeeker 127EQ Telescope ...\u001b[0m\n", + "\u001b[93m247: Guess: $220.46 Truth: $249.99 Error: $29.53 SLE: 0.02 Item: NHOPEEW 10.1inch Android Car Radio Carpl...\u001b[0m\n", + "\u001b[91m248: Guess: $220.46 Truth: $64.12 Error: $156.34 SLE: 1.50 Item: Other Harmonica (Suzuki-2Timer24- A)\u001b[0m\n", + "\u001b[91m249: Guess: $220.46 Truth: $114.99 Error: $105.47 SLE: 0.42 Item: Harley Air Filter Venturi Intake Air Cle...\u001b[0m\n", + "\u001b[91m250: Guess: $220.46 Truth: $926.00 Error: $705.54 SLE: 2.05 Item: Elite Screens Edge Free Ambient Light Re...\u001b[0m\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "runner = TestRunner(flat_predictor, test, \"Flat Predictor\").run()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9d3a5d83-d90b-40af-979f-85aa21816578", + "metadata": {}, + "outputs": [], + "source": [ + "human_predictions = []\n", + "with open('human.csv', 'r') as csvfile:\n", + " reader = csv.reader(csvfile)\n", + " for row in reader:\n", + " human_predictions.append(float(row[2]))\n", + "\n", + "def human_predictor(item):\n", + " index = test.index(item)\n", + " if index==-1:\n", + " raise ValueError(\"Index not found\")\n", + " return human_predictions[index]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6c87c385-d6b7-4a4f-89eb-f4e250337d03", + "metadata": {}, + "outputs": [], + "source": [ + "runner = TestRunner(human_predictor, test, \"Human Predictor\").run()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d6a6c4a5-e817-46b8-99d2-9c4ecf9c8685", + "metadata": {}, + "outputs": [], + "source": [ + "stop = set(['the', 'and', 'for', 'is', 'to', 'this', 'with', 'a', 'of', 'your', 'are', 'in','from', 'you', 'or', 'an', 'on', 'by'])\n", + "\n", + "def words(item):\n", + " text = f\"{item.title} {item.details}\"\n", + " text = re.sub(r'[\\(\\)\\[\\]\\{\\},\\'\"\\- \\s]+', ' ', text)\n", + " words = text.strip().lower().split(' ')\n", + " filtered = [word for word in words if word not in stop]\n", + " return \" \".join(filtered)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "56682e9c-46c9-48f2-baea-e943804290f6", + "metadata": {}, + "outputs": [], + "source": [ + "documents = [words(item) for item in train]\n", + "from collections import Counter\n", + "count = Counter()\n", + "for doc in documents:\n", + " ws = doc.split(\" \")\n", + " for w in ws:\n", + " count[w]+=1\n", + "count.most_common(30)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "262fc576-7606-426c-8aea-5799b3952d2c", + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.feature_extraction.text import CountVectorizer\n", + "from sklearn.linear_model import LinearRegression\n", + "import numpy as np\n", + "\n", + "np.random.seed(42)\n", + "\n", + "labels = np.array([float(item.price) for item in train])\n", + "\n", + "vectorizer = CountVectorizer()\n", + "X = vectorizer.fit_transform(documents)\n", + "\n", + "regressor = LinearRegression()\n", + "regressor.fit(X, labels)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bd782b21-8e44-409d-a7b6-f136974958b4", + "metadata": {}, + "outputs": [], + "source": [ + "def linear_regression_predictor(item):\n", + " np.random.seed(42)\n", + " x = vectorizer.transform([words(item)])\n", + " return max(regressor.predict(x)[0], 0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "80e77aae-0071-42e9-8e24-d3aec5256015", + "metadata": {}, + "outputs": [], + "source": [ + "runner1 = TestRunner(linear_regression_predictor, test, \"Linear Regression\").run()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a70d16ce-bdf1-4071-8c5a-5bddc2aa37e4", + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.feature_extraction.text import TfidfVectorizer\n", + "from sklearn.svm import SVR\n", + "\n", + "np.random.seed(42)\n", + "\n", + "labels = np.array([float(item.price) for item in train])\n", + "\n", + "vectorizer = TfidfVectorizer(max_features=20)\n", + "X = vectorizer.fit_transform(documents)\n", + "\n", + "regressor = SVR(kernel='linear')\n", + "regressor.fit(X, labels)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "64560112-3bfb-45cc-b489-de619a2eca20", + "metadata": {}, + "outputs": [], + "source": [ + "def svr_predictor(item):\n", + " np.random.seed(42)\n", + " x = vectorizer.transform([words(item)])\n", + " return max(regressor.predict(x)[0], 0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "392598d4-2deb-4935-9175-fd111616b13c", + "metadata": {}, + "outputs": [], + "source": [ + "runner2 = TestRunner(svr_predictor, test, \"SVR Accuracy\").run()" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "60010699-d26b-4f93-a959-50272ada6a57", + "metadata": {}, + "outputs": [], + "source": [ + "def messages_for(item):\n", + " system_message = \"You estimate prices of items. Reply only with the price, no explanation\"\n", + " user_prompt = item.test_prompt().replace(\" to the nearest dollar\",\"\")\n", + " return [\n", + " {\"role\": \"system\", \"content\": system_message},\n", + " {\"role\": \"user\", \"content\": user_prompt}\n", + " ]" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "2d5c1a62-9c6e-4c1c-b051-95a78e6e32a7", + "metadata": {}, + "outputs": [], + "source": [ + "def get_price(s):\n", + " s = s.replace('$','').replace(',','')\n", + " match = re.search(r\"[-+]?\\d*\\.\\d+|\\d+\", s)\n", + " return float(match.group()) if match else 0" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "9c845d34-1c73-4636-a6ec-cc6666bb39fa", + "metadata": {}, + "outputs": [], + "source": [ + "def gpt_predictor(item):\n", + " response = openai.chat.completions.create(\n", + " model=OPENAI_MODEL, #\"gpt-4o-2024-08-06\", \n", + " messages=messages_for(item),\n", + " seed=42,\n", + " max_tokens=6\n", + " )\n", + " reply = response.choices[0].message.content\n", + " return get_price(reply)" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "id": "1b3eb3ef-90a8-4642-b503-c22e72c457f5", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[91m1: Guess: $274.99 Truth: $374.41 Error: $99.42 SLE: 0.09 Item: OEM AC Compressor w/A/C Repair Kit For F...\u001b[0m\n", + "\u001b[91m2: Guess: $85.00 Truth: $225.11 Error: $140.11 SLE: 0.93 Item: Motorcraft YB3125 Fan Clutch\u001b[0m\n", + "\u001b[92m3: Guess: $45.99 Truth: $61.68 Error: $15.69 SLE: 0.08 Item: Dorman 603-159 Front Washer Fluid Reserv...\u001b[0m\n", + "\u001b[91m4: Guess: $399.99 Truth: $599.99 Error: $200.00 SLE: 0.16 Item: HP Premium 17.3-inch HD Plus Touchscreen...\u001b[0m\n", + "\u001b[92m5: Guess: $24.99 Truth: $16.99 Error: $8.00 SLE: 0.14 Item: 5-Position Super Switch Pickup Selector ...\u001b[0m\n", + "\u001b[92m6: Guess: $25.99 Truth: $31.99 Error: $6.00 SLE: 0.04 Item: Horror Bookmarks, Resin Horror Bookmarks...\u001b[0m\n", + "\u001b[93m7: Guess: $79.99 Truth: $101.79 Error: $21.80 SLE: 0.06 Item: SK6241 - Stinger 4 Gauge 6000 Series Pow...\u001b[0m\n", + "\u001b[92m8: Guess: $299.00 Truth: $289.00 Error: $10.00 SLE: 0.00 Item: Godox ML60Bi LED Light Kit, Handheld LED...\u001b[0m\n", + "\u001b[91m9: Guess: $499.99 Truth: $635.86 Error: $135.87 SLE: 0.06 Item: Randall RG75DG3PLUS G3 Plus 100-Watt Com...\u001b[0m\n", + "\u001b[93m10: Guess: $39.99 Truth: $65.99 Error: $26.00 SLE: 0.24 Item: HOLDWILL 6 Pack LED Shop Light, 4FT 24W ...\u001b[0m\n", + "\u001b[91m11: Guess: $149.99 Truth: $254.21 Error: $104.22 SLE: 0.28 Item: Viking Horns V103C/1005ATK 3 Gallon Air ...\u001b[0m\n", + "\u001b[91m12: Guess: $180.00 Truth: $412.99 Error: $232.99 SLE: 0.68 Item: CURT 70110 Custom Tow Bar Base Plate Bra...\u001b[0m\n", + "\u001b[91m13: Guess: $32.99 Truth: $205.50 Error: $172.51 SLE: 3.26 Item: 10-Pack Solar HAMMERED BRONZE Finish Pos...\u001b[0m\n", + "\u001b[91m14: Guess: $299.99 Truth: $248.23 Error: $51.76 SLE: 0.04 Item: COSTWAY Electric Tumble Dryer, Sliver\u001b[0m\n", + "\u001b[91m15: Guess: $299.99 Truth: $399.00 Error: $99.01 SLE: 0.08 Item: FREE SIGNAL TV Transit 32\" 12 Volt DC Po...\u001b[0m\n", + "\u001b[91m16: Guess: $500.00 Truth: $373.94 Error: $126.06 SLE: 0.08 Item: Bilstein 5100 Monotube Gas Shock Set com...\u001b[0m\n", + "\u001b[92m17: Guess: $79.99 Truth: $92.89 Error: $12.90 SLE: 0.02 Item: Sangean K-200 Multi-Function Upright AM/...\u001b[0m\n", + "\u001b[92m18: Guess: $35.99 Truth: $51.99 Error: $16.00 SLE: 0.13 Item: Charles Leonard Magnetic Lapboard Class ...\u001b[0m\n", + "\u001b[91m19: Guess: $100.00 Truth: $179.00 Error: $79.00 SLE: 0.33 Item: Gigabyte AMD Radeon HD 7870 2 GB GDDR5 D...\u001b[0m\n", + "\u001b[92m20: Guess: $12.99 Truth: $19.42 Error: $6.43 SLE: 0.14 Item: 3dRose LLC 8 x 8 x 0.25 Inches Bull Terr...\u001b[0m\n", + "\u001b[91m21: Guess: $399.00 Truth: $539.95 Error: $140.95 SLE: 0.09 Item: ROKINON 85mm F1.4 Auto Focus Full Frame ...\u001b[0m\n", + "\u001b[91m22: Guess: $75.99 Truth: $147.67 Error: $71.68 SLE: 0.43 Item: AUTOSAVER88 Headlight Assembly Compatibl...\u001b[0m\n", + "\u001b[93m23: Guess: $49.99 Truth: $24.99 Error: $25.00 SLE: 0.45 Item: ASI NAUTICAL 2.5 Inches Opera Glasses Bi...\u001b[0m\n", + "\u001b[91m24: Guess: $49.99 Truth: $149.00 Error: $99.01 SLE: 1.16 Item: Behringer TUBE OVERDRIVE TO100 Authentic...\u001b[0m\n", + "\u001b[92m25: Guess: $12.99 Truth: $16.99 Error: $4.00 SLE: 0.06 Item: Fun Express Insect Finger Puppets - 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...\u001b[0m\n", + "\u001b[93m52: Guess: $25.99 Truth: $46.78 Error: $20.79 SLE: 0.33 Item: G.I. 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Ford Black Valet ...\u001b[0m\n", + "\u001b[91m60: Guess: $179.99 Truth: $269.00 Error: $89.01 SLE: 0.16 Item: Snailfly Black Roof Rack Rail + Cross Ba...\u001b[0m\n", + "\u001b[91m61: Guess: $25.99 Truth: $77.77 Error: $51.78 SLE: 1.15 Item: KING SHA Anti Glare LED Track Lighting H...\u001b[0m\n", + "\u001b[91m62: Guess: $179.99 Truth: $88.99 Error: $91.00 SLE: 0.49 Item: APS Compatible with Chevy Silverado 1500...\u001b[0m\n", + "\u001b[91m63: Guess: $260.00 Truth: $364.41 Error: $104.41 SLE: 0.11 Item: Wilwood Engineering 14011291R Brake Cali...\u001b[0m\n", + "\u001b[93m64: Guess: $150.00 Truth: $127.03 Error: $22.97 SLE: 0.03 Item: ACDelco Gold 336-1925A Starter, Remanufa...\u001b[0m\n", + "\u001b[91m65: Guess: $490.00 Truth: $778.95 Error: $288.95 SLE: 0.21 Item: UWS EC10783 69-Inch Matte Black Heavy-Wa...\u001b[0m\n", + "\u001b[92m66: Guess: $199.99 Truth: $206.66 Error: $6.67 SLE: 0.00 Item: Dell Latitude E5440 14in Business Laptop...\u001b[0m\n", + "\u001b[92m67: Guess: $35.99 Truth: $35.94 Error: $0.05 SLE: 0.00 Item: (Plug and Play) Spare Tire Brake Light W...\u001b[0m\n", + "\u001b[91m68: Guess: $89.99 Truth: $149.00 Error: $59.01 SLE: 0.25 Item: The Ultimate Roadside Rescue Assistant\u001b[0m\n", + "\u001b[91m69: Guess: $150.00 Truth: $251.98 Error: $101.98 SLE: 0.27 Item: Brand New 18\" x 8.5\" Replacement Wheel f...\u001b[0m\n", + "\u001b[92m70: Guess: $150.00 Truth: $160.00 Error: $10.00 SLE: 0.00 Item: Headlight Headlamp LH Left & RH Right Pa...\u001b[0m\n", + "\u001b[92m71: Guess: $49.99 Truth: $39.99 Error: $10.00 SLE: 0.05 Item: Lilo And Stitch Deluxe Oversize Print La...\u001b[0m\n", + "\u001b[91m72: Guess: $179.99 Truth: $362.41 Error: $182.42 SLE: 0.49 Item: AC Compressor & A/C Clutch For Hyundai A...\u001b[0m\n", + "\u001b[91m73: Guess: $239.99 Truth: $344.00 Error: $104.01 SLE: 0.13 Item: House Of Troy PIN475-AB Pinnacle Collect...\u001b[0m\n", + "\u001b[92m74: Guess: $24.99 Truth: $25.09 Error: $0.10 SLE: 0.00 Item: Juno T29 WH Floating Electrical Feed Sin...\u001b[0m\n", + "\u001b[91m75: Guess: $75.99 Truth: $175.95 Error: $99.96 SLE: 0.69 Item: Sherman GO-PARTS - 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Light...\u001b[0m\n", + "\u001b[91m92: Guess: $1,199.99 Truth: $997.99 Error: $202.00 SLE: 0.03 Item: Westin 57-4025 Black HDX Grille Guard fi...\u001b[0m\n", + "\u001b[93m93: Guess: $199.00 Truth: $219.00 Error: $20.00 SLE: 0.01 Item: Fieldpiece JL2 Job Link Wireless App Tra...\u001b[0m\n", + "\u001b[91m94: Guess: $150.00 Truth: $225.55 Error: $75.55 SLE: 0.16 Item: hansgrohe Talis S Modern Premium Easy Cl...\u001b[0m\n", + "\u001b[91m95: Guess: $1,199.00 Truth: $495.95 Error: $703.05 SLE: 0.78 Item: G-Technology G-SPEED eS PRO High-Perform...\u001b[0m\n", + "\u001b[91m96: Guess: $699.99 Truth: $942.37 Error: $242.38 SLE: 0.09 Item: DreamLine SHDR-1960723L-01 Shower Door, ...\u001b[0m\n", + "\u001b[92m97: Guess: $15.99 Truth: $1.94 Error: $14.05 SLE: 3.08 Item: Sanctuary Square Backplate Finish: Oiled...\u001b[0m\n", + "\u001b[91m98: Guess: $199.95 Truth: $284.34 Error: $84.39 SLE: 0.12 Item: Pelican Protector 1750 Long Case - Multi...\u001b[0m\n", + "\u001b[91m99: Guess: $99.99 Truth: $171.90 Error: $71.91 SLE: 0.29 Item: Brock Replacement Driver and Passenger H...\u001b[0m\n", + "\u001b[92m100: Guess: $129.99 Truth: $144.99 Error: $15.00 SLE: 0.01 Item: Carlinkit Ai Box Mini, Android 11, Multi...\u001b[0m\n", + "\u001b[91m101: Guess: $349.99 Truth: $470.47 Error: $120.48 SLE: 0.09 Item: StarDot NetCamLIVE2 YouTube Live Stream ...\u001b[0m\n", + "\u001b[91m102: Guess: $25.99 Truth: $66.95 Error: $40.96 SLE: 0.85 Item: Atomic Compatible FILXXCAR0016 16x25x5 M...\u001b[0m\n", + "\u001b[91m103: Guess: $49.99 Truth: $117.00 Error: $67.01 SLE: 0.70 Item: Bandai Awakening of S. 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HERCULES Series 88...\u001b[0m\n", + "\u001b[91m141: Guess: $35.99 Truth: $78.40 Error: $42.41 SLE: 0.58 Item: B&M 30287 Throttle Valve/Kickdown Cable,...\u001b[0m\n", + "\u001b[93m142: Guess: $150.00 Truth: $116.25 Error: $33.75 SLE: 0.06 Item: Gates TCK226 PowerGrip Premium Timing Be...\u001b[0m\n", + "\u001b[93m143: Guess: $150.00 Truth: $112.78 Error: $37.22 SLE: 0.08 Item: Monroe Shocks & Struts Quick-Strut 17149...\u001b[0m\n", + "\u001b[92m144: Guess: $32.99 Truth: $27.32 Error: $5.67 SLE: 0.03 Item: Feit Electric BPMR16/GU10/930CA/6 35W EQ...\u001b[0m\n", + "\u001b[91m145: Guess: $49.99 Truth: $145.91 Error: $95.92 SLE: 1.12 Item: Yellow Jacket 2806 Contractor Extension ...\u001b[0m\n", + "\u001b[93m146: Guess: $149.99 Truth: $171.09 Error: $21.10 SLE: 0.02 Item: Garage-Pro Tailgate SET Compatible with ...\u001b[0m\n", + "\u001b[91m147: Guess: $49.99 Truth: $167.95 Error: $117.96 SLE: 1.44 Item: 3M Perfect It Buffing and Polishing Kit ...\u001b[0m\n", + "\u001b[92m148: Guess: $45.99 Truth: $28.49 Error: $17.50 SLE: 0.22 Item: Chinese Style Dollhouse Model DIY Miniat...\u001b[0m\n", + "\u001b[93m149: Guess: $149.99 Truth: $122.23 Error: $27.76 SLE: 0.04 Item: Generic NRG Innovations SRK-161H Steerin...\u001b[0m\n", + "\u001b[92m150: Guess: $49.99 Truth: $32.99 Error: $17.00 SLE: 0.16 Item: Learning Resources Coding Critters Range...\u001b[0m\n", + "\u001b[92m151: Guess: $79.99 Truth: $71.20 Error: $8.79 SLE: 0.01 Item: Bosch Automotive 15463 Oxygen Sensor, OE...\u001b[0m\n", + "\u001b[91m152: Guess: $45.99 Truth: $112.75 Error: $66.76 SLE: 0.78 Item: Case of 24-2 Inch Blue Painters Tape - 6...\u001b[0m\n", + "\u001b[91m153: Guess: $85.99 Truth: $142.43 Error: $56.44 SLE: 0.25 Item: MOCA Engine Water Pump & Fan Clutch fit ...\u001b[0m\n", + "\u001b[91m154: Guess: $249.99 Truth: $398.99 Error: $149.00 SLE: 0.22 Item: SAREMAS Foot Step Bars for Hyundai Palis...\u001b[0m\n", + "\u001b[91m155: Guess: $749.00 Truth: $449.00 Error: $300.00 SLE: 0.26 Item: Gretsch G9210 Square Neck Boxcar Mahogan...\u001b[0m\n", + "\u001b[91m156: Guess: $129.99 Truth: $189.00 Error: $59.01 SLE: 0.14 Item: NikoMaku Mirror Dash Cam Front and Rear ...\u001b[0m\n", + "\u001b[93m157: Guess: $89.95 Truth: $120.91 Error: $30.96 SLE: 0.09 Item: Fenix HP25R v2.0 USB-C Rechargeable Head...\u001b[0m\n", + "\u001b[93m158: Guess: $239.99 Truth: $203.53 Error: $36.46 SLE: 0.03 Item: R&L Racing Heavy Duty Roll-Up Soft Tonne...\u001b[0m\n", + "\u001b[92m159: Guess: $349.99 Truth: $349.99 Error: $0.00 SLE: 0.00 Item: Garmin 010-02258-10 GPSMAP 64sx, Handhel...\u001b[0m\n", + "\u001b[92m160: Guess: $15.99 Truth: $34.35 Error: $18.36 SLE: 0.54 Item: Brown 5-7/8\" X 8-1/2\" X 3/16\" Thick Heav...\u001b[0m\n", + "\u001b[91m161: Guess: $299.99 Truth: $384.99 Error: $85.00 SLE: 0.06 Item: GAOMON PD2200 Pen Display & 20 Pen Nibs ...\u001b[0m\n", + "\u001b[92m162: Guess: $219.99 Truth: $211.00 Error: $8.99 SLE: 0.00 Item: VXMOTOR for 97-03 Ford F150/F250 Lightdu...\u001b[0m\n", + "\u001b[93m163: Guess: $150.00 Truth: $129.00 Error: $21.00 SLE: 0.02 Item: HP EliteBook 2540p Intel Core i7-640LM X...\u001b[0m\n", + "\u001b[91m164: Guess: $32.99 Truth: $111.45 Error: $78.46 SLE: 1.43 Item: Green EPX Mixing Nozzles 100-Pack-fits 3...\u001b[0m\n", + "\u001b[91m165: Guess: $15.99 Truth: $81.12 Error: $65.13 SLE: 2.48 Item: Box Partners 6 1/4 x 3 1/8\" 13 Pt. Manil...\u001b[0m\n", + "\u001b[91m166: Guess: $239.99 Truth: $457.08 Error: $217.09 SLE: 0.41 Item: Vixen Air 1/2\" NPT Air Ride Suspension H...\u001b[0m\n", + "\u001b[93m167: Guess: $79.99 Truth: $49.49 Error: $30.50 SLE: 0.22 Item: Smart Floor Lamp, 2700-6500K+RGBPink Mul...\u001b[0m\n", + "\u001b[91m168: Guess: $25.99 Truth: $80.56 Error: $54.57 SLE: 1.22 Item: SOZG 324mm Wheelbase Body Shell RC Car B...\u001b[0m\n", + "\u001b[91m169: Guess: $179.99 Truth: $278.39 Error: $98.40 SLE: 0.19 Item: Mickey Thompson ET Street S/S Racing Rad...\u001b[0m\n", + "\u001b[91m170: Guess: $300.00 Truth: $364.50 Error: $64.50 SLE: 0.04 Item: Pirelli 275/40R20 106W XL RFT P0 PZ4-LUX...\u001b[0m\n", + "\u001b[91m171: Guess: $209.99 Truth: $378.99 Error: $169.00 SLE: 0.35 Item: Torklift C3212 Rear Tie Down\u001b[0m\n", + "\u001b[91m172: Guess: $350.00 Truth: $165.28 Error: $184.72 SLE: 0.56 Item: Cardone 78-4226 Remanufactured Ford Comp...\u001b[0m\n", + "\u001b[92m173: Guess: $43.99 Truth: $56.74 Error: $12.75 SLE: 0.06 Item: Kidde AccessPoint 001798 Supra TouchPoin...\u001b[0m\n", + "\u001b[91m174: Guess: $150.00 Truth: $307.95 Error: $157.95 SLE: 0.51 Item: 3M Protecta 3100414 Self Retracting Life...\u001b[0m\n", + "\u001b[92m175: Guess: $49.99 Truth: $38.00 Error: $11.99 SLE: 0.07 Item: Plantronics 89435-01 Wired Headset, Blac...\u001b[0m\n", + "\u001b[92m176: Guess: $49.99 Truth: $53.00 Error: $3.01 SLE: 0.00 Item: Logitech K750 Wireless Solar Keyboard fo...\u001b[0m\n", + "\u001b[91m177: Guess: $599.99 Truth: $498.00 Error: $101.99 SLE: 0.03 Item: Olympus PEN E-PL9 Body Only with 3-Inch ...\u001b[0m\n", + "\u001b[91m178: Guess: $150.99 Truth: $53.99 Error: $97.00 SLE: 1.03 Item: Beck/Arnley 051-6066 Hub & Bearing Assem...\u001b[0m\n", + "\u001b[91m179: Guess: $249.99 Truth: $350.00 Error: $100.01 SLE: 0.11 Item: Eibach Pro-Kit Performance Springs E10-6...\u001b[0m\n", + "\u001b[91m180: Guess: $199.99 Truth: $299.95 Error: $99.96 SLE: 0.16 Item: LEGO DC Batman 1989 Batwing 76161 Displa...\u001b[0m\n", + "\u001b[92m181: Guess: $89.99 Truth: $94.93 Error: $4.94 SLE: 0.00 Item: Kingston Brass KS3608PL Restoration 4-In...\u001b[0m\n", + "\u001b[91m182: Guess: $299.00 Truth: $379.00 Error: $80.00 SLE: 0.06 Item: Polk Vanishing Series 265-LS In-Wall 3-W...\u001b[0m\n", + "\u001b[92m183: Guess: $299.99 Truth: $299.95 Error: $0.04 SLE: 0.00 Item: Spec-D Tuning LED Projector Headlights G...\u001b[0m\n", + "\u001b[92m184: Guess: $29.99 Truth: $24.99 Error: $5.00 SLE: 0.03 Item: RICHMOND & FINCH Airpod Pro Case, Green ...\u001b[0m\n", + "\u001b[93m185: Guess: $75.00 Truth: $41.04 Error: $33.96 SLE: 0.35 Item: LFA Industries 43B-5A-33JT 1/16-1/2-1.5-...\u001b[0m\n", + "\u001b[91m186: Guess: $199.99 Truth: $327.90 Error: $127.91 SLE: 0.24 Item: SAUTVS LED Headlight Assembly for Slings...\u001b[0m\n", + "\u001b[92m187: Guess: $15.99 Truth: $10.99 Error: $5.00 SLE: 0.12 Item: 2 Pack Combo Womens Safety Glasses Impac...\u001b[0m\n", + "\u001b[92m188: Guess: $15.99 Truth: $14.99 Error: $1.00 SLE: 0.00 Item: Arepa - Venezuelan cuisine - Venezuela P...\u001b[0m\n", + "\u001b[91m189: Guess: $15.99 Truth: $84.95 Error: $68.96 SLE: 2.63 Item: Schlage Lock Company KS23D2300 Padlock, ...\u001b[0m\n", + "\u001b[92m190: Guess: $129.99 Truth: $111.00 Error: $18.99 SLE: 0.02 Item: Techni Mobili White Sit to Stand Mobile ...\u001b[0m\n", + "\u001b[91m191: Guess: $79.99 Truth: $123.73 Error: $43.74 SLE: 0.19 Item: Special Lite Products Contemporary Wall ...\u001b[0m\n", + "\u001b[91m192: Guess: $399.99 Truth: $557.38 Error: $157.39 SLE: 0.11 Item: Tascam DP-24SD 24-Track Digital Portastu...\u001b[0m\n", + "\u001b[91m193: Guess: $149.99 Truth: $95.55 Error: $54.44 SLE: 0.20 Item: Glow Lighting 636CC10SP Vista Crystal Fl...\u001b[0m\n", + "\u001b[91m194: Guess: $199.99 Truth: $154.00 Error: $45.99 SLE: 0.07 Item: Z3 Wind Deflector, Smoke Tint, Lexan, Wi...\u001b[0m\n", + "\u001b[91m195: Guess: $150.00 Truth: $198.99 Error: $48.99 SLE: 0.08 Item: Olympus E-20 5MP Digital Camera w/ 4x Op...\u001b[0m\n", + "\u001b[91m196: Guess: $239.99 Truth: $430.44 Error: $190.45 SLE: 0.34 Item: PHYNEDI 1:1000 World Trade Center (1973-...\u001b[0m\n", + "\u001b[92m197: Guess: $25.99 Truth: $45.67 Error: $19.68 SLE: 0.30 Item: YANGHUAN Unstable Unicorns Adventure Car...\u001b[0m\n", + "\u001b[91m198: Guess: $99.99 Truth: $249.00 Error: $149.01 SLE: 0.82 Item: Interlogix NX-1820E NetworX Touch Screen...\u001b[0m\n", + "\u001b[92m199: Guess: $25.99 Truth: $42.99 Error: $17.00 SLE: 0.24 Item: Steering Damper,Universal Motorcycle Han...\u001b[0m\n", + "\u001b[92m200: Guess: $179.99 Truth: $181.33 Error: $1.34 SLE: 0.00 Item: Amprobe TIC 410A Hot Stick Attachment\u001b[0m\n", + "\u001b[92m201: Guess: $6.99 Truth: $6.03 Error: $0.96 SLE: 0.02 Item: MyCableMart 3.5mm Plug/Jack, 4 Conductor...\u001b[0m\n", + "\u001b[92m202: Guess: $39.95 Truth: $29.99 Error: $9.96 SLE: 0.08 Item: OtterBox + Pop Symmetry Series Case for ...\u001b[0m\n", + "\u001b[91m203: Guess: $500.00 Truth: $899.00 Error: $399.00 SLE: 0.34 Item: Dell XPS X8700-1572BLK Desktop ( Intel C...\u001b[0m\n", + "\u001b[91m204: Guess: $299.99 Truth: $399.99 Error: $100.00 SLE: 0.08 Item: Franklin Iron Works Sperry Industrial Br...\u001b[0m\n", + "\u001b[92m205: Guess: $15.99 Truth: $4.66 Error: $11.33 SLE: 1.21 Item: Avery Legal Dividers, Standard Collated ...\u001b[0m\n", + "\u001b[91m206: Guess: $210.00 Truth: $261.41 Error: $51.41 SLE: 0.05 Item: Moen 8346 Commercial Posi-Temp Pressure ...\u001b[0m\n", + "\u001b[92m207: Guess: $120.00 Truth: $136.97 Error: $16.97 SLE: 0.02 Item: Carlisle Versa Trail ATR All Terrain Rad...\u001b[0m\n", + "\u001b[91m208: Guess: $129.99 Truth: $79.00 Error: $50.99 SLE: 0.24 Item: SUNWAYFOTO 44mm Tripod Ball Head Arca Co...\u001b[0m\n", + "\u001b[91m209: Guess: $199.00 Truth: $444.99 Error: $245.99 SLE: 0.64 Item: NanoBeam AC NBE-5AC-Gen2-US 4 Units 5GHz...\u001b[0m\n", + "\u001b[91m210: Guess: $599.99 Truth: $411.94 Error: $188.05 SLE: 0.14 Item: WULF 4\" Front 2\" Rear Leveling Lift Kit ...\u001b[0m\n", + "\u001b[91m211: Guess: $189.99 Truth: $148.40 Error: $41.59 SLE: 0.06 Item: Alera ALEVABFMC Valencia Series Mobile B...\u001b[0m\n", + "\u001b[91m212: Guess: $85.00 Truth: $244.99 Error: $159.99 SLE: 1.10 Item: YU-GI-OH! Ignition Assault Booster Box\u001b[0m\n", + "\u001b[91m213: Guess: $149.99 Truth: $86.50 Error: $63.49 SLE: 0.30 Item: 48\" x 36\" Extra-Large Framed Magnetic Bl...\u001b[0m\n", + "\u001b[91m214: Guess: $100.00 Truth: $297.95 Error: $197.95 SLE: 1.18 Item: Dell Latitude D620 Renewed Notebook PC\u001b[0m\n", + "\u001b[91m215: Guess: $499.99 Truth: $399.99 Error: $100.00 SLE: 0.05 Item: acer Aspire 5 Laptop, AMD Ryzen 3 5300U ...\u001b[0m\n", + "\u001b[91m216: Guess: $250.00 Truth: $599.00 Error: $349.00 SLE: 0.76 Item: Elk 31080/6RC-GRN 30 by 6-Inch Viva 6-Li...\u001b[0m\n", + "\u001b[91m217: Guess: $29.99 Truth: $105.99 Error: $76.00 SLE: 1.54 Item: Barbie Top Model Doll\u001b[0m\n", + "\u001b[92m218: Guess: $699.99 Truth: $689.00 Error: $10.99 SLE: 0.00 Item: Danby Designer 20-In. Electric Range wit...\u001b[0m\n", + "\u001b[92m219: Guess: $399.00 Truth: $404.99 Error: $5.99 SLE: 0.00 Item: FixtureDisplays® Metal Truss Podium Doub...\u001b[0m\n", + "\u001b[91m220: Guess: $150.00 Truth: $207.76 Error: $57.76 SLE: 0.10 Item: ACDelco 13597235 GM Original Equipment A...\u001b[0m\n", + "\u001b[91m221: Guess: $349.99 Truth: $171.82 Error: $178.17 SLE: 0.50 Item: EBC S1KF1135 Stage-1 Premium Street Brak...\u001b[0m\n", + "\u001b[92m222: Guess: $299.99 Truth: $293.24 Error: $6.75 SLE: 0.00 Item: FXR Men's Boost FX Jacket (Black/Orange/...\u001b[0m\n", + "\u001b[93m223: Guess: $399.95 Truth: $374.95 Error: $25.00 SLE: 0.00 Item: SuperATV Scratch Resistant 3-in-1 Flip W...\u001b[0m\n", + "\u001b[91m224: Guess: $59.99 Truth: $111.99 Error: $52.00 SLE: 0.38 Item: SBU 3 Layer All Weather Mini Van Car Cov...\u001b[0m\n", + "\u001b[92m225: Guess: $32.99 Truth: $42.99 Error: $10.00 SLE: 0.07 Item: 2 Pack Outdoor Brochure Holder Advertisi...\u001b[0m\n", + "\u001b[93m226: Guess: $150.00 Truth: $116.71 Error: $33.29 SLE: 0.06 Item: Monroe Shocks & Struts Quick-Strut 17158...\u001b[0m\n", + "\u001b[93m227: Guess: $150.00 Truth: $118.61 Error: $31.39 SLE: 0.05 Item: Elements of Design Magellan EB235AL Thre...\u001b[0m\n", + "\u001b[92m228: Guess: $150.00 Truth: $147.12 Error: $2.88 SLE: 0.00 Item: GM Genuine Parts 15-62961 Air Conditioni...\u001b[0m\n", + "\u001b[93m229: Guess: $99.99 Truth: $119.99 Error: $20.00 SLE: 0.03 Item: Baseus 17-in-1 USB C Docking Station to ...\u001b[0m\n", + "\u001b[91m230: Guess: $179.99 Truth: $369.98 Error: $189.99 SLE: 0.52 Item: Whitehall™ Personalized Whitehall Capito...\u001b[0m\n", + "\u001b[92m231: Guess: $299.99 Truth: $315.55 Error: $15.56 SLE: 0.00 Item: Pro Circuit Works Pipe PY05250 for 02-19...\u001b[0m\n", + "\u001b[91m232: Guess: $299.99 Truth: $190.99 Error: $109.00 SLE: 0.20 Item: HYANKA 15 \"1200W Professional DJ Speaker...\u001b[0m\n", + "\u001b[91m233: Guess: $99.99 Truth: $155.00 Error: $55.01 SLE: 0.19 Item: Bluetooth X6BT Card Reader Writer Encode...\u001b[0m\n", + "\u001b[93m234: Guess: $329.99 Truth: $349.99 Error: $20.00 SLE: 0.00 Item: AIRAID Cold Air Intake System by K&N: In...\u001b[0m\n", + "\u001b[92m235: Guess: $239.99 Truth: $249.99 Error: $10.00 SLE: 0.00 Item: Bostingner Shower Faucets Sets Complete,...\u001b[0m\n", + "\u001b[92m236: Guess: $35.99 Truth: $42.99 Error: $7.00 SLE: 0.03 Item: PIT66 Front Bumper Turn Signal Lights, C...\u001b[0m\n", + "\u001b[92m237: Guess: $19.99 Truth: $17.99 Error: $2.00 SLE: 0.01 Item: Caseology Bumpy Compatible with Google P...\u001b[0m\n", + "\u001b[91m238: Guess: $315.00 Truth: $425.00 Error: $110.00 SLE: 0.09 Item: Fleck 2510 Timer Mechanical Filter Contr...\u001b[0m\n", + "\u001b[92m239: Guess: $239.99 Truth: $249.99 Error: $10.00 SLE: 0.00 Item: Haloview MC7108 Wireless RV Backup Camer...\u001b[0m\n", + "\u001b[91m240: Guess: $35.99 Truth: $138.23 Error: $102.24 SLE: 1.76 Item: Schmidt Spiele - Manhattan\u001b[0m\n", + "\u001b[91m241: Guess: $329.99 Truth: $414.99 Error: $85.00 SLE: 0.05 Item: Corsa 14333 Tip Kit (Ford Mustang GT)\u001b[0m\n", + "\u001b[92m242: Guess: $150.00 Truth: $168.28 Error: $18.28 SLE: 0.01 Item: Hoshizaki FM116A Fan Motor Kit 1\u001b[0m\n", + "\u001b[92m243: Guess: $199.99 Truth: $199.99 Error: $0.00 SLE: 0.00 Item: BAINUO Antler Chandelier Lighting,6 Ligh...\u001b[0m\n", + "\u001b[92m244: Guess: $110.99 Truth: $126.70 Error: $15.71 SLE: 0.02 Item: DNA MOTORING HL-OH-FEXP06-SM-AM Smoke Le...\u001b[0m\n", + "\u001b[92m245: Guess: $10.99 Truth: $5.91 Error: $5.08 SLE: 0.30 Item: Wera Stainless 3840/1 TS 2.5mm Hex Inser...\u001b[0m\n", + "\u001b[92m246: Guess: $199.99 Truth: $193.06 Error: $6.93 SLE: 0.00 Item: Celestron - PowerSeeker 127EQ Telescope ...\u001b[0m\n", + "\u001b[91m247: Guess: $299.99 Truth: $249.99 Error: $50.00 SLE: 0.03 Item: NHOPEEW 10.1inch Android Car Radio Carpl...\u001b[0m\n", + "\u001b[92m248: Guess: $59.99 Truth: $64.12 Error: $4.13 SLE: 0.00 Item: Other Harmonica (Suzuki-2Timer24- A)\u001b[0m\n", + "\u001b[91m249: Guess: $209.99 Truth: $114.99 Error: $95.00 SLE: 0.36 Item: Harley Air Filter Venturi Intake Air Cle...\u001b[0m\n", + "\u001b[91m250: Guess: $599.00 Truth: $926.00 Error: $327.00 SLE: 0.19 Item: Elite Screens Edge Free Ambient Light Re...\u001b[0m\n" + ] + }, + { + "data": { + "image/png": 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51+tXMnv2bAUFBSkgIEDVqlXTtGnT0rRZsWKFypcvr7lz56ps2bLy9fVVkSJF9MILL2Tq90lG+3Uljz32mOtLhXnz5rl+d99xxx3avXu3WrZsKX9/f02dOlWLFi3SqFGjFBIS4lbb1RzjVMYYJSUlKTY2VosWLdJbb72ljh07pnvKwsV27typPXv2XHEYfnx8vP75558076Vkvb/x8fHauXOnJKlOnTr6/PPPtXHjRu3Zs0eTJ09WnTp1JElvvPGGkpKS9MILL1z+gAI5nZdHDADIpMOHDxtJ5qGHHkrzWlJSkklMTHQ9Lh4CmToU//DhwyYxMdFER0ebmTNnmqCgIBMVFWXi4+PTrC+zQ/GTk5NNzZo1TceOHV3z0huKv2jRIiPJjBkzxm3+p59+aiSZSZMmXXFbqfvz1ltvuc2vUqWKkWTmzZvnmpeYmGgKFixoHnzwQde8Xbt2GUlm2rRpadZ5aV19+vQxgYGBbsezWLFiHg1LL1asmGnRooXrPdm1a5d55JFHjCTz/PPPu9VSsmRJc/78ebfly5UrZ6pWrWoSExPd5rdq1coULlzYNay3Q4cOJigoyBw+fNjVJikpyZQrVy7NMMwGDRqYBg0auJ5/9NFHRpKZPHnyZfclo2GfqUN+ly1bZoyxPgeRkZGmcuXKbsOOT58+bQoVKuQ2zDczxzwj3bt3N5LM5s2b3ep5+eWX3dqVLFnSlCxZMt3PeqrGjRubPHnymKNHj2bYJrXmS6V32kOxYsWMr6+v2bp162X3ITk52SQmJpqPPvrI+Pr6mpMnTxpjrGMWFhZm6tWrd9ljMWTIEOPv7+82rDX152n58uWX3XZq3ek9fH193dpKMk6n01Xfpevo2rWr2/zNmzcbSaZPnz5u83/55Rcjyfzf//2fa16DBg2MJPPjjz+mqTH1Z+ZKj4s/10lJSSZ37tymTZs25ty5c6ZBgwYeD0f+7rvvjCQzcuTIdF//8ssvjdPpdG03KCjIzJw506N1Xywzw6RTj2Xv3r09Wnfqz8Gnn35qEhMTzdmzZ83PP/9sypYtaypUqGCio6Pd2l/8+37IkCEmIiLCJCYmmhMnTpiAgAAzffp0c+zYsTRD8c+dO2ceeOABt89M1apVzYsvvpjm5ygzQ/E9+Tymfmau9Lj499bw4cONJHPo0KE027777rtNmTJlrnhsO3XqZGbNmmVWrFhhvvjiC3PvvfcaSeall15yaxcQEGBCQ0NN3rx5zfjx483SpUvNiy++aHx9fT06HcSTz/3F+5be37WMPmNffPGFkWQ2bNhw2RqKFSvm0TG++DOR6pNPPnFr061btzR/yy6VmJhoGjZsaMLCwszevXsv2/bAgQMZ/pzOnj3bSDKrVq0yxlin9dxzzz2uWmrWrGmOHDlitm/fboKDg82KFSsuuy3ADrh4HnADqVatmv744w/X8zfeeCNND1JERITb87p162rSpEkeX2jMGJOm1yR1WN3YsWO1fft2LViw4LLrSL0Y36VD2du1a6fu3bvrxx9/VM+ePS+7rVStWrVye16+fHn98ccfuvfee92WKVWqlMenG7Ru3drt+W233aZz587p6NGjV3UxwIULF8rPz8/1PCgoSH379k3Tm966dWu3djt27NCWLVtcF967uIemRYsW+uabb7R161aVL19ey5YtU5MmTdzq8/X1VYcOHVxDvzPy3XffKTAw8JqHPafaunWrDh48qP79+7sNO86dO7fatm2riRMn6uzZswoODna9drXH/MyZM/rss89Up04d14W2GjRooJIlS2r69OkaOnSofHx8tG3bNv3zzz8aMWJEhp/1s2fPavny5erRo0eWjWBJ3Zf0ekd///13DRkyRD///LNOnjzp9tq2bdtUs2ZNrVq1SrGxserTp89lhzQ/8cQTGjlypCZPnqwXX3xRkjUMuHLlyrrrrrs8qvOjjz5S+fLl3ealt83GjRsrb9686a4jdTRCqtTTSS79Wb/zzjtVvnx5/fjjj26n7OTNm1eNGzdOs96hQ4d6dLeD0NBQ17Svr68mT56s3r17Kzw8XCkpKRo1apTuvfdetWrVSr6+vhmuZ8qUKcqVK1e6p9ssWrRInTt3Vrt27dS+fXvlypVLCxYs0KOPPqrz589n24W3pkyZIkmZHobfoUMHt+eFCxfWqlWrLnshtW7durlGrOzevVv+/v5q165dukO0AwICNH/+fG3evFnff/+9fvvtNy1fvlzDhw/XhAkT9PPPP1/V8GZPPo8TJ07U6dOnr7iuAgUKpJmX0c+TJ6cOzJo1y+1527Ztdd9992nUqFHq16+f6/dHSkqKTp8+rU8++UQPPfSQJKlRo0aKi4vT22+/rWHDhqlUqVKX3VZQUJBWrFiR7mue/mynp0qVKvL391evXr3Up08f1a9fX7feemuadl9//bVHo+jSGxXUvHlzrV27VqdPn9bq1as1evRonThxQvPnz0/3lBRjjHr06KH//e9/mjt3rqKiojzal8u9Z6mvBQcH67vvvtOBAweUlJTkGrrfqVMnPfzww6pfv76WL1+u5557Tjt27NDtt9+u999/P0fe1QfICMEesJkCBQooKCgo3ZA6e/ZsnT17VocOHUoTlFItWbJETqdTfn5+KlKkiPLnz5+p7c+YMSPNP1yNMdq7d69eeeUVjRo1Sv7+/q5z5VOH6J06dUoBAQEKCgrSiRMnlCtXrjThyeFwKCIiQidOnJAkLV++XI0aNXJrs2vXLhUvXtz1PF++fG6v+/v7Kzg4OE148/f3T3M154xcekwCAgIk6aqHmNarV0/jxo2Tw+FQcHCwSpYsme61ES49tSJ1iPiAAQMyHOKbOpT5xIkTab60kdJ+kZOeY8eOKTIy8prO/b1Y6vuX3qkikZGRSklJUXR0tFuwv9pjnnrOcfv27d2uz9C+fXuNHDlSP/zwg5o3b65jx45JkooUKZLhuqKjo5WcnHzZNlcjveOwd+9e1a9fX2XLltU777yj4sWLKzAwUL/++quefPJJ1357UrckhYeHq0OHDpo4caJeeOEFbdy4Uf/73/80ceJEj+ssX7686/zrzO5PRq9d6bNw6e+xjNZdtGhRj96XS/+B/9BDD6l58+ZasmSJBg4cqHXr1mnKlCkqVaqUfvzxx3TDyPHjx7VgwQK1bNkyzc+PMUbdu3fXXXfd5TZUvWnTpoqJiVHfvn3Vvn17t3N5s0JiYqI++ugj3X777R69RxcbPXq0GjdurLNnz2rx4sUaOXKkHnjgAf3yyy+un7NLFStWTE2aNNHUqVO1e/duPfTQQwoODr7sudfly5d3BXFjjN5++209++yzevnll9O9JsiVePJ5LFWqlIwxV1zXxb/bUn/XnDhxIs2XhidPnkzzN8VTnTt31jfffKPffvvN9cVy/vz5dfjwYTVv3tyt7b333qu3335b69evv2Kw9/HxyfA4XMvv7JIlS2rJkiUaM2aMnnzyScXFxenWW29Vv3799PTTT7vaVahQIdPHOFXevHldtTdq1EglS5bUQw89pK+++irNXR3Mv9ezmDlzpmbMmKH777//itvMmzevHA6H6/fMxVK/LL30/bzllltc0x999JH+/vtvff755zpx4oQeeOABvfHGG3r44Yc1fPhwtWnTRps2bXL7wh3IyTjHHrAZX19fNW7cWL/99psOHTrk9lqFChVUvXp1Va5cOcPlU/9hePvtt2c61EvSfffdp7Vr17o9JOucuPj4eD399NPKmzev6/Hzzz9r8+bNyps3rwYPHizJ+sdOUlKSK7SkMsbo8OHDrt6VatWqpdmWJ+cK5zROp1PVq1dXtWrVVL58+QwveHhpKEk9DoMHD05zHFIfVapUkXThH5CXSm/epQoWLKiDBw+me47k1Uj9XF36+ZSkgwcPysfHJ8Me38xK7cXs37+/2+cu9cJyqa+nfol06QXbLpYvXz75+vpeto0k15dGl/ZiXXq+eKr0epO+/PJLxcXFad68eercubPq1aun6tWrp/lseFJ3qqefflr79u3TV199pfHjxytPnjx6+OGHr7hcZnnSO5bqSp+FS3tSM1p36rn7V3o0adIkzbJ58+ZVu3btVKxYMX3++edat26ddu7cqVdffTXdbX388cc6f/58uj3jR44c0aFDh3TnnXemea1GjRqKi4tL95701+qbb77R0aNHr+qiebfeequqV6+uu+66S6+//rpeffVV/fHHH3rvvfcuu1z37t21YMECbdiwIdOjeRwOh5555hnlyZPH43PWr0aTJk08+lxcXH/q38e//vrLbV1JSUnasmXLVffQpobfiwNueud+Z9TWG+rXr6+vv/5aMTExWrNmjWrXrq3+/ftrzpw5rjYlS5b06Bhn9PN0sdSfm23btrnNTw3106ZN03//+1917tzZo/qDgoJUqlSpNO+lZL2/QUFB6Y5CkKwvdp577jm9/fbbyps3r1avXi0fHx899thjCgoK0sCBA7Vjx440tQI5GT32gA0NHjxY3333nR5//HHXBaqul/z586f7hUCVKlVcw24v1r9/f8XExGjatGmuHrcmTZpozJgxmjlzptsF0ubOnau4uDjXP85DQ0Mz3Tt1IylbtqxKly6tP/74QyNGjLhs20aNGmnBggU6cuSIqxcqOTlZn3766RW3c++99+qTTz7R9OnTL/sP+ICAAI9GLZQtW1a33HKLZs+erQEDBrjCWlxcnObOneu6Uv612rx5s1avXq22bdumO0z79ddf11dffaUTJ06oTJkyKlmypKZOnapnn3023Z7KoKAgNWjQQJ9//rmGDx+e7vBdSa4RI3/++adq1Kjhmv/11197XHvqMbm4DmOMJk+e7NauTp06cjqdmjBhgh566KHLhupq1aqpTp06Gj16tP7++2/16tUry3uOMyt1WP3MmTPdjtXatWu1efNm12kDV3I1Q/GNMeker9tuu00FChTQ0aNH013HlClTFBkZ6XY6T6q8efMqMDBQa9asSfNaajDIiouapldTYGBglnxRM3DgQE2fPl2jRo1S79693Y7Zxdq0aaM2bdrI6XS67p6SnkOHDqW7zwcPHlRsbKyqVat2zTVn5GqG4tesWVOFCxfW9OnT3U5T+OKLL3TmzBk9+OCDV1XLxx9/LD8/P7f9bdu2rRYvXqzvvvtOnTp1cs1fuHChfHx83H4msosno598fX1Vs2ZNlStXTrNmzdL69etdpw5cy1D8S6X+G+HiUQrGGPXs2VPTpk3TxIkTM30qS5s2bfT2229r3759rqH7p0+f1rx589S6des0p++levbZZ1WjRg3XfhpjlJCQoKSkJOXKlUtnzpxxzQfsgmAP2FDdunX1/vvvq2/fvrrjjjvUq1cvVaxYUT4+Pjp06JDris9hYWHXraY8efKkuYVa6vykpCS315o1a6bmzZtr0KBBio2NVd26dfXnn39qyJAhqlq1qrp06XLd6s7pJk6cqHvvvVfNmzfXo48+qltuuUUnT57U5s2btX79en3++eeSpJdeekkLFixQ48aN9corryg4OFjvv/++4uLirriNjh07atq0aXr88ce1detWNWrUSCkpKfrll19Uvnx51z98KleurJ9++klff/21ChcurNDQ0HTPnfXx8dGYMWP08MMPq1WrVurdu7cSEhL0xhtv6NSpUxo1alSWHJvU3viBAwem24N6+vRp/fjjj5o5c6aefvppvf/++7rvvvtUq1YtPfPMMypatKj27t2r77//3nXO7NixY1WvXj3VrFlTL7zwgkqVKqUjR45owYIFmjhxokJDQ9WiRQvly5dPPXr00KuvvqpcuXJp+vTpHt2aKVWzZs3k7++vjh07auDAgTp37pw+/PBDRUdHu7XLnTu33nrrLT322GNq2rSpevbsqfDwcO3YsUN//PGHxo8f79b+6aefVocOHeRwOFxXlPfU33//ne6VtkuWLHnV1xwoW7asevXqpffee08+Pj669957tXv3br388suKiory+M4HxYsXdzsFxxN79uzRQw89pCeeeEK33XabEhIS9Ndff2nkyJE6ePBgukN9f/nlF23cuFH/93//l+45+AEBAerTp4/Gjh2rrl27qkOHDvL19dWXX36p2bNnq0ePHm5Df1MDTOrdRyTr9Irly5dLutBr/N1336lgwYIqWLBgmqvwHzx4UIsWLVKHDh2yZKSLn5+fRowYofbt2+udd97RSy+9lG67wMBAffHFF1dcX69evXTq1Cm1bdtWlSpVkq+vr7Zs2aJx48bJx8dHgwYNcmufnJyc7npDQkLcvkzx5PN4Nefu+/r6asyYMerSpYt69+6tjh07avv27Ro4cKCaNWume+65x9V2+fLlatKkiV555RW98sorkqxr16TehaRIkSI6evSopkyZosWLF2vo0KFuXyJ069ZNEydOVJ8+fXT8+HFVqFBBS5Ys0fvvv68+ffq43aItu6SOUHjnnXf0yCOPyM/PT2XLltWsWbO0dOlStWzZUkWLFtW5c+dcp5c0bdo0zfKZMXHiRP3vf//T3XffraioKMXFxel///uf3nvvPdWpU8ftZ69fv36aMmWKunfvrsqVK7t9aRYQEKCqVau6njdp0kTLly93+1wMGDBAH3/8sVq2bKlXX31VAQEBGjVqlM6dO6ehQ4emW9/SpUs1d+5ct9EktWvXlo+Pj5588km1a9dO7733nooXL87t72Av1/tqfQCyzoYNG0y3bt1MiRIlTEBAgAkMDDSlSpUyXbt2TXNl6dQreR87dszj9Wf2qvjpSe+q+MYYEx8fbwYNGmSKFStm/Pz8TOHChc0TTzyR5krNGclofzKq+dI6LndV/EvXmdHVzj29Kn7Lli0v2ya1ljfeeCPd1//44w/Tvn17U6hQIePn52ciIiJM48aNzYQJE9za/fzzz6ZWrVomICDAREREmOeff95MmjTpilfFN8Z6P1555RVTunRp4+/vb/Lnz28aN27suqKwMdbnrW7duiY4ONjtCuSXXhU/1Zdffmlq1qxpAgMDTUhIiGnSpIn5+eef3dpk5phf7Pz586ZQoUKmSpUq6b5ujHVV9CJFipjKlSu75q1evdrce++9xul0moCAAFOyZEnzzDPPuC23adMm065dO5M/f37j7+9vihYtah599FFz7tw5V5tff/3V1KlTx4SEhJhbbrnFDBkyxPz3v/9N93OS0fv/9ddfm9tvv90EBgaaW265xTz//POuq7FfeiwXLlxoGjRoYEJCQkxwcLCpUKGCGT16dJp1JiQkmICAAHPPPfdkeFwudbmrkOuSuyVIMk8++WSG61i7dm2a15KTk83o0aNNmTJljJ+fnylQoIDp3Lmz2bdvn1u7jH5XXK24uDgzdOhQc+edd5p8+fIZSSYkJMTcdtttaX52UvXs2dM4HA7zzz//ZLje5ORkM3nyZFO9enWTJ08eExYWZqpWrWrGjx+f5q4WxYoVM8WKFXObl/rzkt7j0p9LYy5cxX3p0qWZ2v/U7Xz++efpvl6zZk2TN29ec+rUKWOMZ7/v07sq/vfff2+6d+9uKlSoYJxOp8mVK5cpXLiwefDBB83q1avdlr/cVd5Tj1NmPo/XYvbs2ea2224z/v7+JiIiwvTr18+cPn3arU3qMbx4fxcsWGDq1atnChYsaHLlymVCQ0NN/fr1zSeffJLudk6cOGF69+5twsPDjZ+fnylTpox544033O4YkpErvSeX3qkkvb9rxhgzePBgExkZaXx8fFy/X1avXm3atGljihUrZgICAkz+/PlNgwYNzIIFC65Y15X8/PPPplWrViYyMtL4+/ub4OBgc/vtt5vXXnvNxMXFubW93FX3L/3ZSb0LwqV27NhhHnjgARMWFmaCg4NNkyZNzLp169KtLT4+3pQuXTrdv7c//PCDqVy5sgkODja1atUyv//++1UfA8AbHMYwxgQAgBvB119/rdatW+vbb79VixYtvF1OjtKwYUNNnz490z3/AADYAUPxAQCwuU2bNmnPnj167rnnVKVKlXTPDwcAADcurooPAIDN9enTR61bt1bevHn1ySefeHQv7pvNo48+etl7twMAYGcMxQcAAAAAwMbosQcAAAAAwMYI9gAAAAAA2BjBHgAAAAAAG+Oq+B5KSUnRwYMHFRoaykWJAAAAAADZzhij06dPKzIyUj4+GffLE+w9dPDgQUVFRXm7DAAAAADATWbfvn0qUqRIhq8T7D0UGhoqyTqgYWFhXq4GAAAAAHCji42NVVRUlCuPZoRg76HU4fdhYWEEewAAAADAdXOl08G5eB4AAAAAADZGsAcAAAAAwMYI9gAAAAAA2BjBHgAAAAAAGyPYAwAAAABgYwR7AAAAAABsjGAPAAAAAICNEewBAAAAALAxgj0AAAAAADZGsAcAAAAAwMYI9gAAAAAA2BjBHgAAAAAAGyPYAwAAAABgYwR7AAAAAABsjGAPAAAAAICNEewBAAAAALAxgj0AAAAAADZGsAcAAAAAwMYI9gAAAAAA2BjBHgAAAAAAGyPYAwAAAABgY14N9itWrNB9992nyMhIORwOffnll67XEhMTNWjQIFWuXFkhISGKjIxU165ddfDgQbd1JCQkqG/fvipQoIBCQkLUunVr7d+/361NdHS0unTpIqfTKafTqS5duujUqVPXYQ8BAAAAAMheXg32cXFxuv322zV+/Pg0r509e1br16/Xyy+/rPXr12vevHnatm2bWrdu7dauf//+mj9/vubMmaOVK1fqzJkzatWqlZKTk11tOnXqpA0bNmjRokVatGiRNmzYoC5dumT7/gEAslh8vLR9u3TR73gAAIBMSUy0/j1x/ry3K8kyDmOM8XYRkuRwODR//nw98MADGbZZu3at7rzzTu3Zs0dFixZVTEyMChYsqI8//lgdOnSQJB08eFBRUVFauHChmjdvrs2bN6tChQpas2aNatasKUlas2aNateurS1btqhs2bIe1RcbGyun06mYmBiFhYVd8/4CADJpzx6pZk3pyBGpTh1p6VIpIMDbVSE9X30lzZhhvV/PPy/5cOYfACCHOHVKqlVL2rpVKl1a+uUXKW9eb1eVIU9zqK3+0sbExMjhcChPnjySpHXr1ikxMVF33323q01kZKQqVaqkVatWSZJWr14tp9PpCvWSVKtWLTmdTleb9CQkJCg2NtbtAQDwotmzpWPHrOlVq6Q1a7xbD9L3zz/Sgw9KX34pvfCCNHOmtysCAOCCb7+1Qr1k9dp/841368kitgn2586d0wsvvKBOnTq5vqk4fPiw/P39lfeSb1jCw8N1+PBhV5tChQqlWV+hQoVcbdIzcuRI1zn5TqdTUVFRWbg3AIBMK1dOSkmRfH0lPz+peHFvV4T0HD1qvU/GWD31Bw54uyIAAC4oXdr6f+posjJlvFdLFrJFsE9MTNRDDz2klJQUffDBB1dsb4yRw+FwPb94OqM2lxo8eLBiYmJcj3379l1d8QCArPHAA9L06VLPntKSJVKxYt6uCOm5806rx16SSpaUunXzbj0AAFzszjutU8Yee0yaP986bewGkMvbBVxJYmKi2rdvr127dmnp0qVu5xVERETo/Pnzio6Oduu1P3r0qOrUqeNqc+TIkTTrPXbsmMLDwzPcbkBAgAI4dxMAcg6HQ3rkEeuBnMvXV5o7V4qJkUJDOb8eAJDztG5tPW4gOfqvbWqo3759u5YsWaL8+fO7vV6tWjX5+fnphx9+cM07dOiQ/v77b1ewr127tmJiYvTrr7+62vzyyy+KiYlxtQEAAFnM6STUAwBwnXi1x/7MmTPasWOH6/muXbu0YcMG5cuXT5GRkfrPf/6j9evX65tvvlFycrLrnPh8+fLJ399fTqdTPXr00HPPPaf8+fMrX758GjBggCpXrqymTZtKksqXL6977rlHPXv21MSJEyVJvXr1UqtWrTy+Ij4AAAAAADmVV29399NPP6lRo0Zp5j/yyCMaOnSoSpQoke5yy5YtU8OGDSVZF9V7/vnnNXv2bMXHx6tJkyb64IMP3C52d/LkSfXr108LFiyQJLVu3Vrjx493XV3fE9zuDgAAAABwPXmaQ3PMfexzOoI9AAAAAOB6uiHvYw8AAAAAANwR7AEAAAAAsDGCPQAAAAAANkawBwAAAADAxgj2AAAAAADYGMEeAAAAAAAbI9gDAAAAAGBjBHsAAAAAAGyMYA8AAAAAgI0R7AEAAAAAsDGCPQAAAAAANkawBwAAAADAxgj2AAAAAADYGMEeAAAAAAAbI9gDAAAAAGBjBHsAAAAAAGyMYA8AAAAAgI0R7AEAAAAAsDGCPQAAAAAANkawBwAAAADAxgj2AAAAAADYGMEeAAAAAAAbI9gDAAAAAGBjBHsAAAAAAGyMYA8AAAAAgI0R7AEAAAAAsDGCPQAAAAAANkawBwAAAADAxgj2AAAAAADYGMEeAAAAAAAbI9gDAAAAAGBjBHsAAAAAAGyMYA8AAAAAgI0R7AEAAAAAsDGCPQAAAAAANkawBwAAAADAxgj2AAAAAADYGMEeAAAAgHetWiWNGSNt3OjtSgBbyuXtAgAAAADcxFavlurXl4yRhg2TtmyRoqK8XRVgK/TYAwAAAPCe1aullBQr2J89K/35p7crAmyHYA8AAADAe1q1knLntqaLFJHq1PFuPYANMRQfAAAAgPeUKSNt22b11NesKeXJ4+2KANsh2AMAAADwrsKFrQeAq8JQfAAAAAAAbIxgDwAAAACAjRHsAQAAAACwMYI9AAAAAAA2RrAHAAAAAMDGCPYAAAAAANgYwR4AAAAAABsj2AMAAAAAYGMEewAAAAAAbIxgDwAAAACAjRHsAQAAAACwMYI9AAAAAAA2RrAHAAAAAMDGCPYAAAAAANgYwR4AAAAAABsj2AMAAAAAYGMEewAAAAAAbIxgDwAAAACAjRHsAQAAAACwMYI9AAAAAAA2RrAHAAAAAMDGCPYAAAAAANgYwR4AAAAAABsj2AMAAAAAYGMEewAAAAAAbIxgDwAAAACAjRHsAQAAAACwMYI9AAAAAAA2RrAHAAAAAMDGCPYAAAAAANgYwR4AAAAAABsj2AMAAAAAYGMEewAAAAAAbIxgDwAAAACAjRHsAQAAAACwMYI9AAAAAAA2RrAHAAAAAMDGCPYAAAAAANgYwR4AAAAAABvzarBfsWKF7rvvPkVGRsrhcOjLL790e90Yo6FDhyoyMlJBQUFq2LChNm7c6NYmISFBffv2VYECBRQSEqLWrVtr//79bm2io6PVpUsXOZ1OOZ1OdenSRadOncrmvQMAAAAAIPt5NdjHxcXp9ttv1/jx49N9fcyYMRo7dqzGjx+vtWvXKiIiQs2aNdPp06ddbfr376/58+drzpw5Wrlypc6cOaNWrVopOTnZ1aZTp07asGGDFi1apEWLFmnDhg3q0qVLtu8fAAAAAADZzWGMMd4uQpIcDofmz5+vBx54QJLVWx8ZGan+/ftr0KBBkqze+fDwcI0ePVq9e/dWTEyMChYsqI8//lgdOnSQJB08eFBRUVFauHChmjdvrs2bN6tChQpas2aNatasKUlas2aNateurS1btqhs2bIe1RcbGyun06mYmBiFhYVl/QEAAAAAAOAinubQHHuO/a5du3T48GHdfffdrnkBAQFq0KCBVq1aJUlat26dEhMT3dpERkaqUqVKrjarV6+W0+l0hXpJqlWrlpxOp6tNehISEhQbG+v2AAAAAAAgp8mxwf7w4cOSpPDwcLf54eHhrtcOHz4sf39/5c2b97JtChUqlGb9hQoVcrVJz8iRI13n5DudTkVFRV3T/gAAAAAAkB1ybLBP5XA43J4bY9LMu9SlbdJrf6X1DB48WDExMa7Hvn37Mlk5AAAAAADZL8cG+4iICElK06t+9OhRVy9+RESEzp8/r+jo6Mu2OXLkSJr1Hzt2LM1ogIsFBAQoLCzM7QEAAAAAQE6TY4N9iRIlFBERoR9++ME17/z581q+fLnq1KkjSapWrZr8/Pzc2hw6dEh///23q03t2rUVExOjX3/91dXml19+UUxMjKsNAAAAAAB2lcubGz9z5ox27Njher5r1y5t2LBB+fLlU9GiRdW/f3+NGDFCpUuXVunSpTVixAgFBwerU6dOkiSn06kePXroueeeU/78+ZUvXz4NGDBAlStXVtOmTSVJ5cuX1z333KOePXtq4sSJkqRevXqpVatWHl8RHwAAAACAnMqrwf63335To0aNXM+fffZZSdIjjzyi6dOna+DAgYqPj1efPn0UHR2tmjVravHixQoNDXUtM27cOOXKlUvt27dXfHy8mjRpounTp8vX19fVZtasWerXr5/r6vmtW7fW+PHjr9NeAgAAAACQfXLMfexzOu5jDwAAAAC4nmx/H3sAAAAAAHBlBHsAAAAAAGyMYA8AAAAAgI0R7AEAAAAAsDGCPQAAAAAANkawBwAAAADAxgj2AAAAAADYGMEeAAAAAAAbI9gDAAAAAGBjBHsAAAAAAGyMYA8AAAAAgI0R7AEAAAAAsDGCPQAAAAAANkawBwAAAADAxgj2AAAAAADYGMEeAAAAAAAbI9gDAAAAAGBjBHsAAAAAAGyMYA8AAAAAgI0R7AEAAAAAsDGCPQAAAAAANkawBwAAAADAxgj2AAAAAADYGMEeAAAAAAAbI9gDAAAAAGBjBHsAAAAAAGyMYA8AAAAAgI0R7AEAAAAAsDGCPQAAAAAANkawBwAAAADAxgj2AAAAAADYGMEeAAAAAAAbI9gDAAAAAGBjBHsAAAAAAGyMYA8AAAAAgI0R7AEAAAAAsDGCPQAAAAAANkawBwAAAADAxgj2AAAAAADYGMEeAAAAAAAbI9gDAAAAAGBjBHsAAAAAAGyMYA8AAAAAgI0R7AEAAAAAsDGCPQAAAAAANkawBwAAAADAxgj2AAAAAADYGMEeAAAAAAAbI9gDAAAAAGBjBHsAAAAAAGyMYA8AAAAAgI0R7AEAAAAAsDGCPQAAAAAANkawBwAAAADAxgj2AAAAAADYGMEeAAAAAAAbI9gDAAAAAGBjBHsAAAAAAGyMYA8AAAAAgI0R7AEAAAAAsDGCPQAAAAAANkawBwAAAADAxgj2AAAAAADYGMEeAAAAAAAbI9gDAAAAAGBjBHsAAAAAAGyMYA8AAAAAgI0R7AEAAAAAsDGCPQAAAAAANkawBwAAAADAxgj2AAAAAADYGMEeAAAAAAAbI9gDAAAAAGBjBHsAAAAAAGyMYA8AAAAAgI0R7AEAAAAAsDGCPQAAAAAANkawBwAAAADAxgj2AAAAAADYGMEeAAAAAAAbI9gDAAAAAGBjBHsAAAAAAGyMYA8AAAAAgI3l6GCflJSkl156SSVKlFBQUJBuvfVWvfrqq0pJSXG1McZo6NChioyMVFBQkBo2bKiNGze6rSchIUF9+/ZVgQIFFBISotatW2v//v3Xe3cAAAAAAMhyOTrYjx49WhMmTND48eO1efNmjRkzRm+88Ybee+89V5sxY8Zo7NixGj9+vNauXauIiAg1a9ZMp0+fdrXp37+/5s+frzlz5mjlypU6c+aMWrVqpeTkZG/sFgAAAAAAWcZhjDHeLiIjrVq1Unh4uKZMmeKa17ZtWwUHB+vjjz+WMUaRkZHq37+/Bg0aJMnqnQ8PD9fo0aPVu3dvxcTEqGDBgvr444/VoUMHSdLBgwcVFRWlhQsXqnnz5uluOyEhQQkJCa7nsbGxioqKUkxMjMLCwrJxrwEAAAAAsHKo0+m8Yg7N0T329erV048//qht27ZJkv744w+tXLlSLVq0kCTt2rVLhw8f1t133+1aJiAgQA0aNNCqVaskSevWrVNiYqJbm8jISFWqVMnVJj0jR46U0+l0PaKiorJjFwEAAAAAuCa5vF3A5QwaNEgxMTEqV66cfH19lZycrOHDh6tjx46SpMOHD0uSwsPD3ZYLDw/Xnj17XG38/f2VN2/eNG1Sl0/P4MGD9eyzz7qep/bYAwAAAACQk+ToYP/pp59q5syZmj17tipWrKgNGzaof//+ioyM1COPPOJq53A43JYzxqSZd6krtQkICFBAQMC17QAAAAAAANksRwf7559/Xi+88IIeeughSVLlypW1Z88ejRw5Uo888ogiIiIkWb3yhQsXdi139OhRVy9+RESEzp8/r+joaLde+6NHj6pOnTrXcW8AAAAAAMh6Ofoc+7Nnz8rHx71EX19f1+3uSpQooYiICP3www+u18+fP6/ly5e7Qnu1atXk5+fn1ubQoUP6+++/CfYAAAAAANvL0T329913n4YPH66iRYuqYsWK+v333zV27Fh1795dkjUEv3///hoxYoRKly6t0qVLa8SIEQoODlanTp0kSU6nUz169NBzzz2n/PnzK1++fBowYIAqV66spk2benP3AAAAAAC4Zjk62L/33nt6+eWX1adPHx09elSRkZHq3bu3XnnlFVebgQMHKj4+Xn369FF0dLRq1qypxYsXKzQ01NVm3LhxypUrl9q3b6/4+Hg1adJE06dPl6+vrzd2CwAAAACALJOj72Ofk3h6/0AAAAAAALLCDXEfewAAAAAAcHkEewAAAAAAbIxgDwAAAACAjRHsAQAAAACwMYI9AAAAAAA2RrAHAAAAAMDGCPYAAAAAANgYwR4AAAAAABsj2AMAAAAAYGMEewAAAAAAbIxgDwAAAACAjRHsAQAAAACwMYI9AAAAAAA2RrAHAAAAAMDGCPYAANjN1q1S377SmDFSYqK3q8mZduyQ+vWTRo6UEhK8XQ0AANkql7cLAAAAmZCUJDVoIB0/LqWkSHFx0rBh3q4qZ0lJkRo1kg4dsqZjYqRRo7xdFQAA2YZgDwCAnZw5Ix05Yk37+Ehbtni3npzo3Dlp/35r2uHgGAEAbngMxQcAwE7y5JF69rSmAwKkJ5/0ajk5UnCwdaqCJPn7S0895d16AADIZg5jjPF2EXYQGxsrp9OpmJgYhYWFebscAMDNzBhp924pb14r6CN9u3dLTqd1nAAAsCFPcyhD8QEAsBuHQypRwttV5HzFi3u7AgAArguG4gMAAAAAYGMEewAAAAAAbIxgDwAAAACAjRHsAQAAAACwMYI9AAAAAAA2RrAHAAAAAMDGCPYAAAAAANgYwR4AAAAAABsj2AMAAAAAYGMEewAAAAAAbIxgDwAAAACAjRHsAQAAAACwMYI9AAAAAAA2RrAHAAAAAMDGrirY/+9//1Pnzp1Vu3ZtHThwQJL08ccfa+XKlVlaHAAAAAAAuLxMB/u5c+eqefPmCgoK0u+//66EhARJ0unTpzVixIgsLxAAAAAAAGQs08H+9ddf14QJEzR58mT5+fm55tepU0fr16/P0uIAAAAAAMDlZTrYb926VXfddVea+WFhYTp16lRW1AQAAABcsxSToteWv6Z7Z92rT/76xNvlADeOxERp8GCpRQtpwQJvVwNJuTK7QOHChbVjxw4VL17cbf7KlSt16623ZlVdAAAAwDWZ+edMvfLTK5Kk73d8r6qFq6pcgXJergq4AXzwgTR6tGSMtHixtHevFBnp7apuapnuse/du7eefvpp/fLLL3I4HDp48KBmzZqlAQMGqE+fPtlRIwAAAJBpR+OOyiGHJMnI6PjZ416uCLhBHD0q+fwbJZOTpeho79aDzPfYDxw4UDExMWrUqJHOnTunu+66SwEBARowYICeeuqp7KgRAAAAyLRHqzyqj//8WH8e+VMdKnZQ7SK1vV0ScGN44gnp88+l7dulXr2kChW8XdFNz2GMMVez4NmzZ7Vp0yalpKSoQoUKyp07d1bXlqPExsbK6XQqJiZGYWFh3i4HAAAAHjDG6HzyeQXkCvB2KcCNxRjp/HkpgJ+t7ORpDs30UPzu3bvr9OnTCg4OVvXq1XXnnXcqd+7ciouLU/fu3a+paAAAACArORwOQj2QHRwOQn0OkulgP2PGDMXHx6eZHx8fr48++ihLigIAAAAAAJ7x+Bz72NhYGWNkjNHp06cVGBjoei05OVkLFy5UoUKFsqVIAAAAAACQPo+DfZ48eeRwOORwOFSmTJk0rzscDg0bNixLiwMAAAAAAJfncbBftmyZjDFq3Lix5s6dq3z58rle8/f3V7FixRTJvQsBAAAAALiuPA72DRo0kCTt2rVLUVFR8vHJ9On5AAAAAAAgi2X6PvbFihWTZN3ubu/evTp//rzb67fddlvWVAYAAAAAAK4o08H+2LFj6tatm7777rt0X09OTr7mogAAAAAAgGcyPZ6+f//+io6O1po1axQUFKRFixZpxowZKl26tBYsWJAdNQIAAAAAgAxkusd+6dKl+uqrr1SjRg35+PioWLFiatasmcLCwjRy5Ei1bNkyO+oEAAAAAADpyHSPfVxcnOt+9fny5dOxY8ckSZUrV9b69euztjoAAAAAAHBZmQ72ZcuW1datWyVJVapU0cSJE3XgwAFNmDBBhQsXzvICAQAAAABAxjI9FL9///46dOiQJGnIkCFq3ry5Zs2aJX9/f02fPj2r6wMAAAAAAJfhMMaYa1nB2bNntWXLFhUtWlQFChTIqrpynNjYWDmdTsXExCgsLMzb5QAAAAAAbnCe5tBM99hfKjg4WHfccce1rgYAAAAAAFyFTAd7Y4y++OILLVu2TEePHlVKSorb6/Pmzcuy4gAAAAAAwOVlOtg//fTTmjRpkho1aqTw8HA5HI7sqAsAAAAAAHgg08F+5syZmjdvnlq0aJEd9QAAAAAAgEzI9O3unE6nbr311uyoBQAAAAAAZFKmg/3QoUM1bNgwxcfHZ0c9AAAAAAAgEzI9FL9du3b65JNPVKhQIRUvXlx+fn5ur69fvz7LigMAAAAAAJeX6WD/6KOPat26dercuTMXzwMAAAAAwMsyHey//fZbff/996pXr1521AMAAAAAADIh0+fYR0VFKSwsLDtqAQAAAAAAmZTpYP/WW29p4MCB2r17dzaUAwAAAAAAMiPTQ/E7d+6ss2fPqmTJkgoODk5z8byTJ09mWXEAAAAAAODyMh3s33777WwoAwAAAAAAXI1MB/tHHnkkO+oAAAAAAABXwaNgHxsb67pgXmxs7GXbcmE9AAAAAACuH4+Cfd68eXXo0CEVKlRIefLkSffe9cYYORwOJScnZ3mRAAAAAAAgfR4F+6VLlypfvnySpGXLlmVrQQAAAAAAwHMeBfsGDRq4pkuUKKGoqKg0vfbGGO3bty9rqwMAAAAAAJeV6fvYlyhRQseOHUsz/+TJkypRokSWFAUAAAAAADyT6WCfei79pc6cOaPAwMAsKQoAAAAAAHjG49vdPfvss5Ikh8Ohl19+WcHBwa7XkpOT9csvv6hKlSpZXiAAAAAAAMiYx8H+999/l2T12P/111/y9/d3vebv76/bb79dAwYMyPoKAQAAAABAhjwO9qlXw+/WrZveeecd7lcPAAAAAEAOkOlz7KdNm+YW6mNjY/Xll19qy5YtWVoYAAAAAAC4skwH+/bt22v8+PGSpPj4eFWvXl3t27dX5cqVNXfu3CwvEAAAAAAAZCzTwX7FihWqX7++JGn+/PkyxujUqVN699139frrr2d5gQAAAAAAIGOZDvYxMTHKly+fJGnRokVq27atgoOD1bJlS23fvj3LCzxw4IA6d+6s/PnzKzg4WFWqVNG6detcrxtjNHToUEVGRiooKEgNGzbUxo0b3daRkJCgvn37qkCBAgoJCVHr1q21f//+LK8VAAAAAIDrLdPBPioqSqtXr1ZcXJwWLVqku+++W5IUHR2d5fexj46OVt26deXn56fvvvtOmzZt0ltvvaU8efK42owZM0Zjx47V+PHjtXbtWkVERKhZs2Y6ffq0q03//v01f/58zZkzRytXrtSZM2fUqlUrJScnZ2m9AICbiDFSQoK3q8jZOEYAAFwXmQ72/fv318MPP6wiRYooMjJSDRs2lGQN0a9cuXKWFjd69GhFRUVp2rRpuvPOO1W8eHE1adJEJUuWlGT11r/99tt68cUX9eCDD6pSpUqaMWOGzp49q9mzZ0uyRhhMmTJFb731lpo2baqqVatq5syZ+uuvv7RkyZIsrRcAcJM4ckSqVEkKDJS6dpVSUrxdUc5z8THq3JljBAA51fz50tNPS8uXe7sSXINMB/s+ffpozZo1mjp1qlauXCkfH2sVt956a5afY79gwQJVr15d7dq1U6FChVS1alVNnjzZ9fquXbt0+PBh16gBSQoICFCDBg20atUqSdK6deuUmJjo1iYyMlKVKlVytUlPQkKCYmNj3R4AAEiSJk+WUu8G8/HH0kWniOFf//3vhWM0a5b022/erQcAkNayZdKDD0rvvy81aSJt2+btinCVMh3sJalatWpq06aNcufO7ZrXsmVL1a1bN8sKk6SdO3fqww8/VOnSpfX999/r8ccfV79+/fTRRx9Jkg4fPixJCg8Pd1suPDzc9drhw4fl7++vvHnzZtgmPSNHjpTT6XQ9oqKisnLXAAB2Fh5+oQfax0cqUMC79eREHCMAyPn+/tv6f3Ky9di61bv14Kp5HOwrVKigkydPup736tVLx44dcz0/evSogoODs7S4lJQU3XHHHRoxYoSqVq2q3r17q2fPnvrwww/d2jkcDrfnxpg08y51pTaDBw9WTEyM67Fv376r3xEAwI2le3fplVeke+6RPv1UKlHC2xXlPN26XThGc+ZIt97q7YoAAJdq21YqXNiarlhRatTIu/XgquXytOGWLVuUlJTkej5nzhy98MILKliwoCQrKJ87dy5LiytcuLAqVKjgNq98+fKaO3euJCkiIkKS1StfOPUDKetLhtRe/IiICJ0/f17R0dFuvfZHjx5VnTp1Mtx2QECAAgICsmxfAAA3EF9fadgwb1eRs3GMACDni4yUtm+Xdu6UypaV/P29XRGu0lUNxZesIH+pK/WSZ1bdunW19ZLhINu2bVOxYsUkSSVKlFBERIR++OEH1+vnz5/X8uXLXaG9WrVq8vPzc2tz6NAh/f3335cN9gAAAABwwwsJkSpXJtTbnMc99t7wzDPPqE6dOhoxYoTat2+vX3/9VZMmTdKkSZMkWV8k9O/fXyNGjFDp0qVVunRpjRgxQsHBwerUqZMkyel0qkePHnruueeUP39+5cuXTwMGDFDlypXVtGlTb+4eAAAAAADXzONg73A40vTIZ3UP/aVq1Kih+fPna/DgwXr11VdVokQJvf3223r44YddbQYOHKj4+Hj16dNH0dHRqlmzphYvXqzQ0FBXm3HjxilXrlxq37694uPj1aRJE02fPl2+vr7ZWj8AAAAAANnNYdIbU58OHx8fVapUSblyWd8F/PnnnypXrpz8/x2ykZSUpI0bNyo5OTn7qvWi2NhYOZ1OxcTEKCwszNvlAAAAAABucJ7mUI977IcMGeL2/P7770/Tpm3btpkoEQAA4DI++ED6/nvpgQesq+wDAIB0edxjf7Ojxx4AgOto8WKpefMLz1etkmrX9l49AAB4gac59Kqvig8AAJBtDh50f37okHfqAADABgj2AAAg52nbVqpRw5pu0EBq0cK79QAAkIPl6NvdAQCAm1RoqPTLL9KZM1Lu3FI234kHAAA7I9gDAICcyeGwAj4AALgshuIDAAAAAGBjHvXYv/vuux6vsF+/flddDAAAAAAAyByPbndXokQJz1bmcGjnzp3XXFROxO3uAAAAAADXk6c51KMe+127dmVZYQAAAAAAIOtc9Tn258+f19atW5WUlJSV9QAAAAAAgEzIdLA/e/asevTooeDgYFWsWFF79+6VZJ1bP2rUqCwvEAAAAAAAZCzTwX7w4MH6448/9NNPPykwMNA1v2nTpvr000+ztDgAAAAAAHB5mb6P/ZdffqlPP/1UtWrVksPhcM2vUKGC/vnnnywtDgAAAAAAXF6me+yPHTumQoUKpZkfFxfnFvQBAAAAAED2y3Swr1Gjhr799lvX89QwP3nyZNWuXTvrKgMAAAAAAFeU6aH4I0eO1D333KNNmzYpKSlJ77zzjjZu3KjVq1dr+fLl2VEjAAAAAADIQKZ77OvUqaOff/5ZZ8+eVcmSJbV48WKFh4dr9erVqlatWnbUCAAAAAAAMuAwxhhvF2EHsbGxcjqdiomJUVhYmLfLAQAAAADc4DzNoR4NxY+NjfV4w4ReAAAAAACuH4+CfZ48eTy+4n1ycvI1FQQAAAAAADznUbBftmyZa3r37t164YUX9Oijj7qugr969WrNmDFDI0eOzJ4qAQAAAABAujJ9jn2TJk302GOPqWPHjm7zZ8+erUmTJumnn37KyvpyDM6xBwAAAABcT57m0ExfFX/16tWqXr16mvnVq1fXr7/+mtnVAQAAAACAa5DpYB8VFaUJEyakmT9x4kRFRUVlSVEAAAAAAMAzHp1jf7Fx48apbdu2+v7771WrVi1J0po1a/TPP/9o7ty5WV4gAAAAAADIWKZ77Fu0aKHt27erdevWOnnypE6cOKH7779f27ZtU4sWLbKjRgAAAAAAkIFMXzzvZsXF8wAAAAAA15OnOTTTQ/El6dSpU5oyZYo2b94sh8OhChUqqHv37nI6nVddMAAAAAAAyLxMD8X/7bffVLJkSY0bN04nT57U8ePHNXbsWJUsWVLr16/PjhoBAAAAAEAGMj0Uv379+ipVqpQmT56sXLmsDv+kpCQ99thj2rlzp1asWJEthXobQ/EBAAAAANeTpzk008E+KChIv//+u8qVK+c2f9OmTapevbrOnj17dRXncAR7AAAAAMD15GkOzfRQ/LCwMO3duzfN/H379ik0NDSzqwMAAAAAANcg08G+Q4cO6tGjhz799FPt27dP+/fv15w5c/TYY4+pY8eO2VEjAAAAAADIQKaviv/mm2/K4XCoa9euSkpKkiT5+fnpiSee0KhRo7K8QAAAAAAAkLGrvo/92bNn9c8//8gYo1KlSik4ODira8tROMceAAAAAHA9Zet97CUpODhYlStXvtrFAQAAAABAFvA42Hfv3t2jdlOnTr3qYgAAN7Hff5d27JDuvVfKnfvK7VeskE6elFq0kPz9s66O336T9uyx6rjBR6MhG/z1l7R5s9S8ueR0eruarHej7x+QUx04YP3dq1VLKlHC29UgB/I42E+fPl3FihVT1apVdZWj9wEASN9XX0lt2kjGSLfdJq1bJ+W6zJ+od96R+ve3pu+7T1qwIGvq+PRT6aGHrOkaNaQ1aySfTF9nFjerH3+U7r5bSkmRSpe2QnBAgLeryjoX71+pUtb+BQZ6uyrgxnfggFSxohQTY33hvGGD9TsGuIjHwf7xxx/XnDlztHPnTnXv3l2dO3dWvnz5srM2AMDNYsECyeGwgv2ff0r79l2+R2Lu3AvT33xjBY2sCOBffWWtJyVFWrtWOnpUioi49vXi5nDxF0zbt0vbtkk30mmL33xj/ZxK1uiarVul22/3bk3AzWDlSivUS9LZs9LSpQR7pOHxv4I++OADHTp0SIMGDdLXX3+tqKgotW/fXt9//z09+ACAa5PaCyhZ/1gpUuTy7Vu0uDDdpEnW9apfXEfFilLBglmzXtwcLv78REVZvdo3kmbNpORka7pIEYIFcL3UqiWFhFjT/v5S/frerQc50lVfFX/Pnj2aPn26PvroIyUmJmrTpk3K7ck5kTbFVfEBIJstX271crZpI+XPf/m2xkgLF1rn2P/nP1JQUNbVsXSptGuX1LatlCdP1q0XN4dVq6SNG6X775cKFfJ2NVnvRt8/IKf65x/r71O9elL58t6uBtdRtl8V3+FwyOFwyBijlNRvpwEAuFoNGlgPTzgcUsuW2VNH48bZs17cHOrUsR43qht9/2BdS+HDD63TSF588fLXO8H1U7Kk9QAykKmxiwkJCfrkk0/UrFkzlS1bVn/99ZfGjx+vvXv33tC99QAAAMAN79gx61SnefOkYcOk8eO9XREAD3n8FVyfPn00Z84cFS1aVN26ddOcOXOU/0pDJQEAAADYw4kT0vnz1rSvr3U1dgC24PE59j4+PipatKiqVq0qR+oVUdMxb968LCsuJ+EcewAAANzQjJG6dZNmzJBuucW6b/qtt3q7KuCmluXn2Hft2vWygR4AAACAjTkc0vTp0jvvSLlzW732AGzB42A/ffr0bCwDAAAAQI7gdHq7AgCZlEU3/gUAAAAAAN5AsAcAAAAAwMYI9gAAAAAA2BjBHgAAAAAAGyPYAwAAAABgYwR7AAAAAABsjGAPAAAAAICNEewBAAAAALAxgj0AAAAAADZGsAcAAAAAwMYI9gAAAAAA2BjBHgAAAAAAGyPYAwAAAABgYwR7AAAAAABsjGAPAAAAAICNEewBAAAAALAxgj0AAAAAADZGsAcAAAAAwMYI9gAAAAAA2BjBHgAAAAAAGyPYAwAAAABgYwR7AAAAAABsjGAPAAAAAICNEewBAAAAALAxgj0AAAAAADZGsAcAAAAAwMYI9gAAAAAA2BjBHgAAAAAAGyPYAwAAAABgYwR7AAAAAABsjGAPAAAAAICNEewBAAAAALAxgj0AAAAAADZGsAcAAAAAwMZsFexHjhwph8Oh/v37u+YZYzR06FBFRkYqKChIDRs21MaNG92WS0hIUN++fVWgQAGFhISodevW2r9//3WuHgAAAACArGebYL927VpNmjRJt912m9v8MWPGaOzYsRo/frzWrl2riIgINWvWTKdPn3a16d+/v+bPn685c+Zo5cqVOnPmjFq1aqXk5OTrvRsAAAAAAGQpWwT7M2fO6OGHH9bkyZOVN29e13xjjN5++229+OKLevDBB1WpUiXNmDFDZ8+e1ezZsyVJMTExmjJlit566y01bdpUVatW1cyZM/XXX39pyZIl3tolALixzZkjPfSQNHVqNm7kkKSnJPWTdCzbthJ3Pk7rD63XuaRz2bYNXCfbt0u7d2d+udWrpYcfloYNkxITs7ysTNu2TerWTXrmGSkmxtvVAAByAFsE+yeffFItW7ZU06ZN3ebv2rVLhw8f1t133+2aFxAQoAYNGmjVqlWSpHXr1ikxMdGtTWRkpCpVquRqk56EhATFxsa6PQAAHvjtN6ljR+mzz6QePaRs+xK1g6QJkj6Q1CVbtnD4zGGVGV9G1SZVU+UPK+vUuVPZsh1cB6+/LpUpI5UoIU2e7Plyp09LzZpZX1YNGya99Vb21eipRo2k6dOlt9+W+vTxdjUAgBwgxwf7OXPmaP369Ro5cmSa1w4fPixJCg8Pd5sfHh7ueu3w4cPy9/d36+m/tE16Ro4cKafT6XpERUVd664AwM1h717r/8ZY/9+zJ5s29I+k5H8fO7JlCwu2LtDB0wclSTtO7tCSnYz0sq2xYy9Mjxvn+XKnTklxcVJKiuTjk42fZw8lJ0sHD154vnSp92oBAOQYOTrY79u3T08//bRmzpypwMDADNs5HA6358aYNPMudaU2gwcPVkxMjOuxb9++zBUPADere+6RatWypitVktq2zaYNvSrrz5ivpKHZsoXKhSpLknwcPvJ1+Kp8gfLZsh1cB1WqSL6+Vji/4w7Pl4uKknr2tKbz5pWeeipbyvNY6hcMqYoX91opAICcI5e3C7icdevW6ejRo6pWrZprXnJyslasWKHx48dr69atkqxe+cKFC7vaHD161NWLHxERofPnzys6Otqt1/7o0aOqU6dOhtsOCAhQQEBAVu8SANz4goOlVaukY8ekAgXcQ0iW6iHpQVnh3pktW6gdVVsLOy3Uj7t+VKsyrVSxUMVs2Q6ugy++kN59VwoIkPr1y9yykyZJI0dKoaGSv3/21OcpPz9rxMFzz1lfNLz3nnfrAQDkCA5jUsdK5jynT5/WnkuGvHXr1k3lypXToEGDVLFiRUVGRuqZZ57RwIEDJUnnz59XoUKFNHr0aPXu3VsxMTEqWLCgZs6cqfbt20uSDh06pCJFimjhwoVq3ry5R7XExsbK6XQqJiZGYWFhWbujAAAAmZGUZI1AuMIIRQCAvXmaQ3N0j31oaKgqVarkNi8kJET58+d3ze/fv79GjBih0qVLq3Tp0hoxYoSCg4PVqVMnSZLT6VSPHj303HPPKX/+/MqXL58GDBigypUrp7kYHwAAgC3kytH/hAMAXGe2/6swcOBAxcfHq0+fPoqOjlbNmjW1ePFihYaGutqMGzdOuXLlUvv27RUfH68mTZpo+vTp8vX19WLlAAAAAABcuxw9FD8nYSg+AAAAAOB68jSH5uir4gMAcFMyRvrf/6TFi62roAMAAFwGwR4AgJxm5Ejprruk5s2l3r29XQ0AAMjhCPYAAOQ0s2dfmP70U+/VAQAAbIFgDwBATnP33RemGzf2Xh0AAMAWbH9VfAAAbjhvvCHdeacUHy917OjtagAAQA5HsAdgSUmRxo6V1q+XunWTmjXzdkXAzcvXV3roIW9XAQAAbIKh+AAs06ZJzz9vnc/bsqV04IC3KwJubvv3S507S+3aSdu3e7saAACQg9FjD8CyZ4/VS5icbPXeHz4s3XKLt6sCbl7duknLllnTO3ZIv//u3XoAAECORY89AEuPHlLhwtb0Aw9IVat6tRzgpnfkiPUlW3KyNQ0AAJABgj0AS7Fi0q5d0tGj0rx5kg+/HgCvGj1aCg6WAgKs618AAABkgKH4AC7IlUsqWNDbVQCQpHvvlWJiJGOsn00AAIAM8C8FAAByKl9fb1cAAABsgLG2AAAAAADYGMEeAAAAAAAbI9gDN6s1a6RFi6SkpAvzYmOlr77intnIcglJCfp227f6/RC3bMtRjJGWL7duq2eMt6sBAABXiWAP3Izef1+qXdu6OFenTta8+HipenXrVncVKkg//+zVEnHjMMaoxawWavVJK90x6Q598tcn3i4JqV58UWrYUGrcWBowwNvVAACAq0SwB25Gc+ZcmJ471+qp27jxQk99SorVcw9kgZiEGC3dvVSS5JBDn2/63MsVwWXWrAvTs2d7rw4AAHBNCPbAzahZswvTd90lORxSmTJSoULWvJQUqxcPyAJhAWGqXKiyJMnIqFHxRl6uCC4X/y5o2tR7dQAAgGviMIaT6jwRGxsrp9OpmJgYhYWFebsc4NoYI82bJ0VHSx07SiEh1vz9+6Uvv5Ruu80K/EAWiY6P1qcbP9UtobeoVZlWcjgc3i4JkpSYaI3gSUmxfhf4+3u7IgAAcBFPcyjB3kMEewAAAADA9eRpDmUoPgAAAAAANkawBwAAAADAxgj2AAAAAADYGMEeAAAAAAAbI9gDsLc335SCgqSyZaUdO7xdDTL0rqRgSSUlbfFyLVls/nwpTx7rdpErVni7GgAAsk9KitS9u3UXlYYNpdhYb1eEf3FVfA9xVXwgBzp1SsqXz7p9n6+v1LWrNHWqt6tCGnGSwiSlSPKV1EHSLK9WlKUKF5YOH5YcDqlqVWndOm9XBABA9lixQmrQwJp2OKS335b69fNqSTc6rooP4Mbn7y8FBFh/WIyxek2RA+WSFCQp9d71ebxXSnZwOiUfH+uRN6+3qwEAIPs4nRem+bdXjpLL2wUAwFULDpa+/FJ6/XXp1lulIUO8XRHSFSDpK0nDJBWV9Jp3y8lqn30mPfecdUrIu+96uxoAALLP7bdLH34ozZhh9dw//LC3K8K/GIrvIYbiAwAAAACuJ4biAwAAAABwEyDYAwBwo1m71rqg0dat3q4EAABcBwR7AIB3nDkjNWki+flJnTtLycnerih7xMVJTZta+9mpU/bv59q1Uq1a0jPPSHfcIe3bl73bAwAAXkewBwB4x6xZ0tKlUlLShekb0ezZ0o8/Wvv5ySfWdHb6+WfrPsOSdPas9Pvv2bs9AADgdQR7AIB3XHzLnPSe3yiu937ee691xwhJioiQ6tbN3u0BAACv43Z3AADvaN9e+vtvqwf74YelO+/0dkXZ4z//kV56SVqyROrYUapZM3u3V7astGWL1VNft66UP3/2bg8AAHgdt7vzELe7AwAAAABcT9zuDgAAAACAmwDBHgAAAAAAGyPYA8g6X3wh5ckjFS4srVrl/trQoVJgoHTbbVl/+61z56SWLSV/f6lDB+vq41cjIUFq3VrKlctaV8GC2X8F84xKSUrQ+F/Ha/TK0YqOj9aAxQMU8HqAakyuoWNxxyRJu6N3K2xkmBzDHKr0QSUlp1z5NmopJkWPLXhM/q/5q9H0RopNiJU0X9IQSVuuvuCkJOtWbv7+0j33SPHxV78uSVq3TipSRAoNlT76yLNlFi+WXnlFWr/een7+vNSmjVVTmzbW81SrVkmRkdbn9YsvrHmnTknVq0sOh/UZePPNa9sH3JzeeUcKCZHKlJG2bfN2NQCAmwTn2HuIc+wBDxQsKB0/Lvn4WBdCW73amr9/vxQVZU37+kp9+0rjxmXddj/+WOra9cLzBQuk++7L/Ho++cQKp6kcDqlCBesCb9fZ4988rknrJsnhcKh64er69eCvkiRfh69euuslDW04VK1mt9K32791LTPt/ml6tMqjl13v//b8T3dNv0uS5JBD79zziPrWnC7re95QSbsl5cl8wd99J7VoceH51KlSt26ZX0+qu++2vlRJSbGu8H7mjPV+ZGT5cqlhQ+uz5+cnbd0q/fqrdYG+VJ99JrVrZ03XqSP98ou1/vz5rc/tW29JAwZcaO9wSCdOSHnzXv1+4OZy+rT1ZVFKivW7rlMnz7+YAgAgHZxjD+D6CwuzgpXD4X5Lr8BAqwdUkozJ+tt9XfpL7mq/fLt0OYfj6td1jdbsXyMjoxSTor+P/S2HrFCbYlIUFmDVlCcwj9syBYIKXHG9oQGhrmkjo7CAw5J8JaVIipG08+oKzqr3IFWePNbx9/Gxeu2v5LffrPYpKdbIi02bLl+T03lh/anzL23v52f19gOe8vOzft+lfglFRwAA4Doh2APIOp9/LjVoYN1He+LEC/MLFLB6S+vUkbp3l55/Pmu327q1NGSIVKOGNGaMVcPVaNFCevVVqVIlqVQpq9d4xoysrdVDj1d/3DX9RPUn9FGbj1Tzlpp6osYTerLGk5KkSfdNUtWIqgrxC1HX27qqVdlWV1xvlYgq+qDFB7rzljs1oPYAdb5tmKTU8FpNUuWrK7huXavHu0YN69Zubdpc3XpSvfOOdP/90l13SV9+efneekl64IELXxiVKiXVq2e9f6+/btU0fLj1PNWECdb73aDBhaH43bpJffpYPfglS1rbDQm5tv3AzSUwUJo/3/pd17699Npr3q4IAHCTYCi+hxiKD+B623J8i+IT41UlooocVwq21+SwrJ76apICsnE72ezECWnzZqlqVQI5AAC4IXiaQ3Ndx5oAAJlQrkC567SliH8fNpc/v9VTDwAAcJNhKD4AAAAAADZGsAcAAAAAwMYI9gAAAAAA2BjBHgAAAAAAGyPYAwAAAABgYwR7AIA9HTsmffONdPiwtysBAADwKm53BwCwn0OHpMqVrXvXO53SH39IxYp5uyoAAACvoMceAGA/P/1khXpJiomRFi/2ajkAAADeRLAHANhPjRpSQIA1nSuXVKuWd+sBAADwIobiAwDsp1Qpae1a6YcfpIYNrWH5AAAANymCPQDAnipXJtADAACIofgAAAAAANgawR4AkPMYI61aZV0kzxhvVwMAAJCjEewBADnPiBFS3bpSo0bS0097uxoAAIAcjWAPAMh5PvrowvTMmd6rAwAAwAYI9gCAnKdJkwvTjRt7rw4AAAAb4Kr4AICc5913rXvTnz8vde7s7WoAAAByNHrsAdjYeUmvS+ohaYN3S8HlffWVVK6cdc58TMyV2+fKJXXtKj32mBQYmP31SdZF+iZMkLp1k3788fpsE8isEyekZ5+VnnxSOnDA29UAAHIIhzFcbtgTsbGxcjqdiomJUVhYmLfLASBJelXSUFnfUYZKOiTpOoVAeO7cOSk4+MLV7WvVklav9m5N6ZkzR+rYUfLxsR47dkjFinm7KsDd/fdL335rTdeokTN/lgAAWcbTHEqPPQAb2ynr11iypFOSYr1aDTJw4oT7Lev27/deLZfzzz9WoE9JkZKScm6duLnt2CElJ1uPf/7xdjUAgByCYA/Axp6SFPLvdG9JhbxYCzJ0yy1SlSoXnv/f/3mtlMvq2lWKiLCmmzSR7rzTu/UA6Xn5ZetUFYdDGjrU29UAAHIIhuJ7iKH4QE51VlZPfYS3C8GV/PGHFZzDw71dScbOn5eOHJGKFLGCE5ATnTpl9djnz+/tSgAA2Yyh+IAdxcVJ99wjBQVZF/BKTvZ2RdkkWVI3SUGS7pEVzq9WsLI61L++4nX5DPOR7zBfjV09NkvXnSOcPCnVq2ed9/7ss+7D5LPC8OFSSIhUtar7xb1uvz1nh3pJ8veXoqKyLtSPGGEdiypV3If2//yzNZIhf37rwoJZxRjpuees97ZOHeu9xo0nTx5CPQDADT32HqLHHtfFpElS794Xnv/wg9S0qffqyTZLJDW76PlESb28VEtauV7NpWRjfakS4Bugcy+d83JFWWzkSOmll6xzySXp99/dh8pfiwMHrN5uSfL1lfr2lcaNy5p1283Bg1Z4l6xj8eST0jvvWM9r1JDWrbOCeESEdOhQ1mzzzz+tL1Ak63oBw4ZZ7zUAALAleuwBOwoNvfzzG8al+5Wz9tPP1y/d6RtG7tzuvfQhIRm3zayAACvEStY2btjPsAcCAqxzoaW0xyIs7MLV97PyGF38Xt7sxx8AgJsIwR7ISdq3l55/XrrjDmnsWKlmTW9XlE1qShor6Q5Jz0vq4N1yLjH7wdnKE5hH+YLy6bP/fObtcrJe797SE09I1apJ//2vVLp01q27QAHrtnE1akhdukgDB2bduu0mf/4Lx+Lhh6VBgy68NnmyNRqnfn3p00+zbpslS0pTp1rv7eOPWw8AAHDDYyi+hxiKD1yNnZK2SaqvC1evBwAAAOAJT3NorutYE4CbympJDSQlSqogab2kAK9WBAAAANyIGIoPIJvMlfTvxdm0SdJGL9YCAAAA3LgI9gCySX1Zt7VzSCogqZR3ywEAAABuUAzFB5BN7pf0g6Q/Jf1HEtemAAAAALIDwR5ANmr678Nze07t0ZifxygsIEz/V///FBrA7boAAACAyyHYA8hRWs5uqS3Ht8jI6NCZQ5r+wHRvlwQAAADkaAR7ADnKzuidSjbJkqRtJ7Z5uRoAAAAg5+PieQBylJfvelmS5Ofjp0F1B3m5GgAAACDncxhjjLeLsIPY2Fg5nU7FxMQoLIyLgAHZ6WjcUQX4BsgZ6PR2KQAAAIDXeJpD6bEHssq5c9J990lBQVKXLlJysrcrsq1CIYVyfqg3Rho0SAoOlmrXlo4f93ZFN7czZ6Rmzaz34/HHpZQUb1cEAABw3RDsgazy6afSN99YAX/mTOn7771dEbLTli3SmDFSfLz066/S++97u6Kb24wZ0o8/Wu/HxInSzz97uyIAAIDrhmAPZJXcuS//HDeWoCDJ4bCmjeH99raQEOt9uPg5AADATSJHB/uRI0eqRo0aCg0NVaFChfTAAw9o69atbm2MMRo6dKgiIyMVFBSkhg0bauPGjW5tEhIS1LdvXxUoUEAhISFq3bq19u/ffz13BTeDNm2kwYOlqlWlUaOk+vW9XRGyU/Hi0rRpUvXqUq9e0pNPeruim1vnzlL//tbP3zvvSHfc4e2KAAAArpscHeyXL1+uJ598UmvWrNEPP/ygpKQk3X333YqLi3O1GTNmjMaOHavx48dr7dq1ioiIULNmzXT69GlXm/79+2v+/PmaM2eOVq5cqTNnzqhVq1ZK5hxoZKVt26TGjaU1a6xzr1N7c7PLxo3S0qVSUpL7/Oho6bvvpMOHs3f7l3E28ay+3/G9dkXvcpsfHR+tRTsW6dDpQ27ztxzfoiU7l+h88vnrWea1e+QRae1aacIEKTDw2tf399/WEPLMnB++d6+0aJF1jnl2WLdO+t//3HvDc6JcuaRx46T166V+/bxdDQAAwPVlbOTo0aNGklm+fLkxxpiUlBQTERFhRo0a5Wpz7tw543Q6zYQJE4wxxpw6dcr4+fmZOXPmuNocOHDA+Pj4mEWLFnm87ZiYGCPJxMTEZNHe4IYyf74xPj7GSMY0aWJMSkr2bm/2bGtbkjH33Xdh/rFjxkREWPPDwoz555/srSMdCUkJpvIHlY2Gyvi96mdW7llpjDHmxNkTJvKtSKOhMrlH5Dbbjm8zxhjz1ZavjM8wH6OhMo2mNzIplz12/zXGVDDGdDLGnM7uXbm+pky58J526+bZMuvWGRMQYC1TurQxcXFZW9PYsRdqeuKJrF03MichwZjevY0pX96YN9/0djUAAOA68TSH5uge+0vFxMRIkvLlyydJ2rVrlw4fPqy7777b1SYgIEANGjTQqlWrJEnr1q1TYmKiW5vIyEhVqlTJ1SY9CQkJio2NdXsAGfrkkws9mj/+mP1XSJ89+8L0119LqaNYVqy40FMfGystXJi9daRj87HN+uvoX5KkFJOiuZvnSpJW7l2pg6cPSpLOnD+jhdut2ub8Pce17LLdy3Qk7kgGa94nqaekTZLmSHo7W+r3mmnTLkzPmOFZD/n8+VJiojW9fbv0++/ZV9NHH2XtupE5M2ZYFwXcvFkaMMAamQAAAPAv2wR7Y4yeffZZ1atXT5UqVZIkHf43wISHh7u1DQ8Pd712+PBh+fv7K2/evBm2Sc/IkSPldDpdj6ioqKzcHdxo6te3gpjDIZUuLf375VO2bk+ytle5snWLL8k6vzh1SLiPj1SrVvbWkY5b896qgsEF5ZBDySZZ9YrWkyRViaiioFxBVmkOH9WOqi1Jql+0vlJMihxyqGTekioQXCCDNSdKSg27DknnsnU/rrt61nGSwyHdeadnp3LUq2cN23c4pDx5pHLlsramRo0u1MQ1I7zr3Dn3z0RCgvdqAQAAOU4ubxfgqaeeekp//vmnVq5cmeY1xyX/ADbGpJl3qSu1GTx4sJ599lnX89jYWMI9Mvbkk1JkpLRnj/Tww5Kvb/Zu7/nnpWLFrN75zp0v/IO/RAnr1muLFllBrHr17K0jHaEBoVrbc60+3/S5bgu/TXeXtEbLFHUW1dqea7Vw+0LVK1pPd95ypyTp8eqPKyJ3hHaf2q1OlTspl09Gv5ZulTRc0puSKkt65jrszXX0+utS2bLWNRK6dfNsmebNress/Pab9OCDUv78WVvTW29ZXxadPWtdTwDe0727dQvNn3+2Ph9e+NIOAADkXA5jcvoVkaS+ffvqyy+/1IoVK1SiRAnX/J07d6pkyZJav369qlat6pp///33K0+ePJoxY4aWLl2qJk2a6OTJk2699rfffrseeOABDRs2zKMaYmNj5XQ6FRMTo7CwsKzbOeBabNokvfuuFBVlhX1/f29XBAAAACCLeJpDc/RQfGOMnnrqKc2bN09Lly51C/WSVKJECUVEROiHH35wzTt//ryWL1+uOnXqSJKqVasmPz8/tzaHDh3S33//7WoD2FJiotSwofTf/0ovvyy9+qq3KwIAAADgBTl6KP6TTz6p2bNn66uvvlJoaKjrnHin06mgoCA5HA71799fI0aMUOnSpVW6dGmNGDFCwcHB6tSpk6ttjx499Nxzzyl//vzKly+fBgwYoMqVK6tp06be3D3g2pw9Kx07Zk37+FgXTwMAAABw08nRwf7DDz+UJDVs2NBt/rRp0/Too49KkgYOHKj4+Hj16dNH0dHRqlmzphYvXqzQ0FBX+3HjxilXrlxq37694uPj1aRJE02fPl2+2X0eNJCdnE6pTx/pgw+sC+Zx724AAADgpmSLc+xzAs6xR461f78V8i/6MgsAAACA/d0Q59gD2eLMGetq4iEh1tXs7f7dVpEi1y3Uj145WmEjw1RtUjUdiD2QqWVTTIp6fNVDwcOD1WJWC51NPJt1hW3ZYt3qLW9e93uvX4tdu6TbbrNuIzd+/IX5b79tfZFy++3WXRDS8/vv0q23Wlep/+yztK//8ot1V4OCBaWvvsqaeu3qzTelsDDpjjusL6lOnrTu6JA7t/TCC+4/n54c++tp3z7rrgGhodZ+AAAAeAk99h6ix/4G8t570tNPXwgMK1dKdet6tyYbOHT6kCLHRkqSfB2+eurOp/T2PW97vPySnUvU7ONmrueTWk1Sz2o9s6a4du2kefOse7r7+Vlf3lzrHQIee0yaPl1KTrauYXDypDVdoID12fH1tdpMmJB22aZNpWXLrHpCQ6XYWPfX69Sxwn1KihXujx69tlrt6sgRKSLCmvb1lZ54QgoPl4YMsY6NJP31l1SpknX8PTn219NTT1k1JCdbz48ckQoV8m5NAADghkKPPZCRkBD3XsDgYO/VYiP+vv7ydVjXpTAyCvELydTyuf1zX/b5NcmdW3I4rEdAgBXEr1XIRfuXK5f7I7026dXj45P+5+vi1zNax83A3z/t8bz05zMoyPq/p8f+esqd+0Ktfn7cbhIAAHhNjr54HpAtunaV/vhDWr5c6t7dGkqLK8ofnF+ftP1Eo34epXIFymlQvUGZWr5WkVp6o9kbmvXnLDW9tanaV2yfdcWNGiVFR0uHDknDh7sHwKs1ZIi1vl27pFdeuRAkP/tMev11qVQp6zaD6Xn3Xen8eenUKemNN9K+PmGC9Pjj1p0Nxo279lrtKm9eac4caeRIqUwZafBg64uZLVukX3+1esRLlrTahoV5duyvp8GDreH427ZZ03nyeLsiAABwk2IovocYig8AAAAAuJ4Yig8AAAAAwE2AYA8AAAAAgI0R7AEAAAAAsDGCPQAAAAAANkawB3BjOXFCev556bnnpGPHvF0NAAAAkO243R2AG0uXLtLixdb0H39IS5Z4tx4AAAAgmxHsAdxYtmyRkpMvTAMAAAA3OIbiA7ixvPSS5OMjORzSyy97uxoAAAAg29FjD+86dkyaP18qX16qX9/b1eBG0L27dN99kjFSoULergYAAADIdvTYw3vOnZNq1JB695buukuaNy/rt3HsmFSnjhQWJg0YINWsaU0PH5627fffS4ULS1FR0sqVmdhIiqTHJYVIukdSfUkOSb6SgiS1kdRHUm5JzSWdkfTSv+3DJIUoMXmAWs1uqdwjcqvX172UYlKuuNXhK4YrdGSoakyuocNnDmfYzhijAYsHKPeI3GowvYFOnTvl9lrfhX3l+6qv8ozy1e5TTkmB/z46S0rKxHGQ9NVXVpguXlz69ddLCh5uHfsaNaTDl9S7ebNUtqyUN680fXrG609MlDp0kEJCpIcesp7v2ydVrSo5ndLYsVa7ggWzJtS/+KKUO7cUEWFt8777pPj4a1/v9bBxo1SmjJQvn/TRR96uBgAAANnIYYwx3i7CDmJjY+V0OhUTE6OwsDBvl3Nj2LxZqlDBmvb1lXr1kj74IGu38dJL0qhRF8659vGRUv4Nzbt3S8WKXWhbvLi0d681fdtt0oYNHm5khaQGHrZ1SBosaUSaVyp9IG389yLuP3b9UY1LNM5wLfti9qno20UlSb4OXz1T6xm9cfcb6bbdcHiDqk6sKknycfhoeOPheqHeC5KkTcc2qeIHFf99TXrlLmlIw4uXXiDpPg/3TVaYPnbMOs41a0qrVv1b8D6pqFWvfH2lZ56R3rio3rZtpS+/tN4bf3/pzBnJzy/t+j//XGrf/sLzL76Qli6VJk688B4fPWoF+2t18efzYv/9r9Sjx7WvP7u1aSMtWGAd04AA65jmYpAWAACAnXiaQ+mxh/eUKnUhOBkjtW6d9dsIDrbWfSkfHyvsXNrW4bAewcGZ2Ugm2hpJobICvrv4izrHg/0uv05/X3/5OHz+XaNRiH9Ihm2DcgVd2LoxCvELyeA1KThNls54vekKDr5wfnvIRcv6+1vzUzcUcsl6c+e+cOwDAi60TVNOSNrnISEX3mM/v/S/ELgagYFWPZfK1GfDiy7+PAcGZnxMAQAAYHt038B7/Pyk1aulH36whgxXrpz12+jfX9q2zbrt2eOPW0Ps//7bGpYfEeHedvZsqV8/q1czUyMHqksaK2m6pMaS4iTNlDWcPVzWUPyC/75+l6TnJEVIeltSvKRApaQ8pfvLbtaSnUvU5bYuqlWk1mW3GJ47XDPbzNSbq99UxYIVNaDOgAzbli1QVhNbTdSHaz9UzSI11ataL9drJfKW0Hv3vqdXlr2iUP8Uta94i6TYf2t/RFKjTBwHSZ99Zh3zkBBpwoSLCg6XZs6U3nxTqljROv4XGz1aiomRDh2SRoywevXTc++90iuvWL37bdpIzZtLtWtL+/db7/P//Z+UJ0/mas5IiRLSlCnSe+9Zn4mzZ63tXTxiICd7802rl/7wYWvUCsEeAADghsVQfA8xFB83ByNptaxrA1T1ci0AAADAzY2h+ACuQn9JdSXdIWmcd0sBAAAA4BGCPYCLTLtoeorXqgAAAADgOYI9gIvU04UL+3l6pf8c6MwZ6Z57rNvrPf10+hdQBAAAAG4QBHsAF/lc0juSJsu6uJ9NTZ0qLV4snT4tvfuutGaNtysCAAAAsg3BHtnv4EHrvuUvvWQFreu1vRdflGJjs3FDiTqd8JpeWlpdzyzqqoOnD17VWraf2K6nFj6l4SuGKyEp4Yrt98fuV/9F/fXy0pd15vyZq9pmGmfOSLt2SSZYUl9Jj0nKxG3jkpKsq7D36SP99VfW1HQtgoLce+mDgjJuezlr1ki9e1t3SciOXv+ZM6WePaXvv8/6dQMAAOCmwe3ukP3uu8+63Zwx0u7dVpjJTq1bSxs2XNjerFnZtKGRevzbIZrzt+TQOv1v70b91mtdptaQYlLUaEYjHT5zWEZGsQmxGt1s9GWXaTm7pTYe3Sgjo/2x+zXtgWmXbX9FGzZIDRpYX4K0bSt9/nn692+/nDfftG415+MjzZkjHThw9WE6Kzz6qPWZW7FC6tFDqlIl8+s4dkxq3Fg6f15KTrbuBd+9e9bVuGiR1KWLdWu/qVOljRulcuWybv0AAAC4aRDskf22b7eCkSRt3nwDbW+bthyXUv7tyN12Ylum13Au6ZwOnD4gSXLIoa0ntl5xme0ntivZWPu3+XgW7N/kyVJcnDU9d660c6dUsmTm1rFtmxXqk5Ol6Gjr4c1g7+cnjR9/bes4eFCKj7emfX2lrVd+bzJl27+fl9TP6s6dBHsAAABcFYbiI/u9+KL1f19fadCg67u9F17Ixg09qUF1/eX7b+f2i/VfyvQagv2C9XTNpyVJ/r7+6lez3xWXebG+tX+5fHJpYN2Bmd5mGmXKWOHS11cKDZUKFcr8Op54wurRlqTOnaXIyGuvy9sqVbIuwCdJTmfW9tZLUvv2UtGi1nSNGlKjRlm7fgAAANw0HMZwuWhPxMbGyul0KiYmRmFhYd4ux34OHpT8/aUCBW6w7cXq+Nl/dD65kCJDb7nqteyN2auwgDDlCczjUfsDsQcUmCtQ+YPzX/U2XZKTrd7tLVukXr2kqlWvbj2nT0snTkjFimV+KH9OZYx17YGICCk4OOvXf/68tH+/dcx8fbN+/QAAALA1T3Mowd5DBPsbRYqk3pI+ldRY0hxJ//Y064yk/0j6WdKjkt7VhVu/XV8bDm/Qfz77j2ISYvRhyw/1nwr/uYq1LJTUQ1KApE8k1c7SGgEAAABkL09zKEPxcZP5UdJ/JZ2W9JWswJtqmqTFsgL+eEmrrnt1qZ5f/Lx2ndql42ePq/tXVzsEvJekw5L2ybrSPQAAAIAbEcEeN5lLL+h28fNgSeaS594R7B8sx7//Bfld7UXogmX9iDskhWRdcQAAAAByFK6Kj5tMXUkjJM2SdLekdhe91lXS75JWSOou6SrPNc8C797zrhKSEhR9Llpv3f3WVa7lE0lPyxqK/2HWFQcAAAAgR+Ecew9xjj2ySnJKsoYtH6af9/2sR29/VF1u7+LtkgAAAADkQJ7mUHrsgets5p8z9dqK1yRJS3ctVbXIaqpQsIKXqwIAAABgV5xjD1xnx88el4/jwo/eyfiTXqwGAAAAgN0R7IHrrFvVbqoSUUWS1KlyJ9WJquPdggAAAADYGkPxgessX1A+reu1TkkpScrlw48gAAAAgGtDjz1uCifjT+qFJS9o4A8Ddfzs8Su2/+GfH9T7696a/dds17xjccf0/OLnNeiHQZkYPv+bpCckjZeU4vZKtob6jz6SeveWli3L3HJ//CH16SO9/baUnHxh/l9/WfPffFNKSvJ8fQkJ0ogRUt++0vbtmavFW+Ljpddek55+Wtq1y9vVZGz1aus9njBB4hqol/frr9Ljj0vvvy+lpFy5PQAAgM3QXYibQtf5XbVoxyJJ0obDG7S4y+IM2249vlX3zrpXkjRp/STlC8qne0rdo45zO+qn3T9JkjYe26hvOn1zha2ektRQ0jlJyZL8JPW+pv3wyIIF0iOPSL6+0tSp0rZtUokSV14uLk5q0EA6c+ZCqO/f3wq6DRpIsbFWKEpOlgYN8qyWYcOkUaMkHx9p/nxp715rOicbPFh67z3J4ZC+/db6QsLh8HZV7o4ckRo3lhITrfcjKMh6z5HWiRNSo0bWl0zJyZK/v9Szp7erAgAAyFI5/F/YQNbYdGyTkk2ykk2yNh3bdNm2O6N3utpKVtCXpM3HN7vmbz6+2YOtHpIUJyvU+0ryZJkssGWLFUSTk63edU97nY8dk2JirOV8faXN/9YbHW09kpOtUL51a+ZqkaxlDxywviTI6TZtsnrAk5OtY3fxyIWc4sAB6dy5C+9VZt6Tm82hQ9LZsxwrAABwQyPY46YwuN5gOf7978X6L162bcPiDXVH4TskSUXCiqh9xfaSpBfrvyiHHPJx+Oj/6v2fB1stK6nVv9Ohkh676vozpWNHKSLCmq5VS6pb17PlihWT2rWzpoODrWHeklS4sNS5szUdGGgNafbUU09ZPaSS9OSTUkiI58t6yzPPSLn+Hcw0YMCF6Zzk9tulZs2s6Tx5pEcf9WY1OVuFClKLFtZ0WJjUvbt36wEAAMgGDmM4OdMTsbGxcjqdiomJUVhYmLfLwVU4cuaIjIwickdcsW1ySrJ2Ru9UUWdRBeQKcFuHw+FQoZBCHm7VSNopKVxS7qsp++qcOyft328Nwff19Xw5Y6xe6oIFpdBQ9/l79kj587vP98SpU9ZIgGLFMrecN508aZ2aEBXl7UoyZoy0c6f1xUtwsLerydlSP9fh4fb4cgkAAOBfnuZQeuxx0wjPHZ5hqD+XdE4PfvqgwkaGqfc3veVwOFQ6f2m3UJ+6Ds9DvSQlSRoqqZiknrKG5Weh48elu+6yem1ff/3C/MBAqVSpzIV6yRrCf+utacO7wyEVL575UC9Ztdkp1EtSvnw5O9RL1ntSsiSh3hOpn2tCPQAAuEER7AFJs/+arflb5uv0+dOatG6Slu5amkVrnidppqSTkv4raeG1re70afdzvt9+W1q1yuoRf/llqwcXAAAA+P/27j3Opnr/4/hr7bnPNDOGwcwgkTDGfUbulKJTrumXOuQSKqVzRspBKn6n3Cr9OhK6kE6XI52DdOG4hJLLuMzIncg1cokhl2Fmf39/rOyxGWNmbPZs834+HvvRXmt913d9Ft+HR5/9vUmRosReBAj2D871uOACr3CcD08/bc8RLlMme1G64ODsrc4sK3s+e1Gya5e9Nd3//q+9SFpBXG6bPxERERERH1AIV4USuf4eSniIlftWMnfHXLrU6ELjcnlccO6K2gPPAF8B/wO0Klg1e/bYe3CDPfx+7FgYP95e6G3LFkhLg/79oWxZj0TtU1q1gu3b7R84fv3V/nPJj4u3+XM67T9LEREREREfocRerjMnsAKIABLyfFemM5Nle5YRGx5LpeKVANiTvoeffvuJhuUaXlUPe0ZmBsv2LuOZhs/wf3/6vxxK7Pzj04j897g7gDfsj9MJy5dBVBTEx+evmshIe6/yjAy7njJl7PNhYfDRR/mMyQtWr7aT5nr1PLsnvNNpJ/VZWXa950cy5Mfhw/ZUBtB2aCIiIiLikzQUX66zPtgJcnXsOedXZozh/qn302xKM6qMq8IXm79g+d7lVHqrEi3+2YJGkxpxLutcgaLJcmbRfEpz7vzwTiqNrcSS3UsuKvEtcBtwJ3AX9g8TBdSzp731XLVqMGVK/u6NiIA5c6BjRxg82N6GzVeMGAFJSVC/vr0OgCc5HDBwoP3d379gPe033wyd7C0N3bb5ExERERHxEdruLo+03Z2nBALnk/CGwNJcS6/Yu4IV+1aQPCcZAAuLB6o9QLmIcoxdMZYsY8+HXttnLTVL18x3NJsPbyb+bbv33M/yo09SH8bdN+6CEo8BH5C9mv0OoEK+n4PTCQEB9n/BXsl+8eL813Ox+fNh3z544AG46Rpspzd3Lhw4YP+gUND6K1a0txoDe7uxAwc8F995e/bYoxeKFy/Y/Zfb5i8nv/0GM2dClSr2DzUiIiIiIteItrsTL3odiAIaABcncbcD54di554Uzd42m4aTGpI8Jxl/yx8LC4OhYdmGNCjbgCyThYVFiZASVChWgGQbKBdRjlJhpbCwyDJZNCzb8KISDbCTeguI++NTAA4HJCba/wVo0qRg9VxowgRo2RJ69IAWLbIX0SuojRvt0QSlSsGnn9pz+u+5B7p3t+exF7T+Jk3sYfKW5Zn3zkm5cgVP6uHy2/xd7OxZe+RBr172u/znPwV/poiIiIiIh2iOvXjYL8CAP76vAl4Dxlxw/StgMhAJdM+1prnb5+KwHGSZLDJNJsn1k6lfpj4PV38Yy7II8Q9h3cF1PFz9YcKDCrC/OhAWGMaK3iv417p/EV8yng5VO1xUoidQDNgGdAGCKLA5c+CDD+wEtFu3gtdzYX3nrVxpL/5WkH3mz3v+eXt+udNpJ6533ZV9bdkye8X5guwD/t570LChPQ++V6+Cx1cY7N4NP/1kf3c44L//tUdLiIiIiIh4kRJ78bAA7IEgTsAAFy9qVwzI2zzoNpXbMDZlLAC3Rt3KqLtHuS2S17ZKW9pWaXvVEd9S7BYGNx18masW4KHErXhxePZZz9QF0L49zJplf2/W7OqH4gcHZ/esBwVBu3bw9df2tTvusOefF0RQEDz55NXFVlg4HPbf42+/2SMY2l59+xMRERERuVqaY59HmmOfH58Co4F44F3sFfAL5sdff2TjoY3cc+s9RIVEeSi+G8jSpfDLL9C6tb1q/tXYtw9694ZDh2D0aLvH/ocf7Dnx99139fXfCKpVs0c1GGOvO/Dvf3s7IhERERG5geU1D1Vin0dK7EWKOGMgMBAyM+1jTy2AKCIiIiJyGVo8T0TEkyzr6rfWExERERG5BtRjn0fqsRcRwF5ALzQUoqO9HYmIiIiI3ODUYy83hMOnDtPsg2YUH12cEd+P8HY4OZs1C+Li7H3NU1O9HY3nzZxpv1/VqrB2rbej8b6bb1ZSLyIiIiKFinrs80g99t7xwrcvMGrJKLJMFgA7/rqDClEF27P+milRwl4l3eGApk1h0SJvR+RZUVFw7Jj9fnfcAQsWeDsiEREREZEiQT32ckMI8gvCYP/2ZGER4Bfg5YhycOE2ccEXb+93AwgKyn4/rYwvIiIiIlLoaB97KdSeafgMmw5vYu2va3m24bOUjSjr7ZAuNW0aJCdDRAS8/ba3o/G8zz+HZ56ByEh46y1vRyMiIiIiIhfRUPw8KrpD8TcB6cDtXDjAwxhDyr4UwoPCqVayGgCzt81m57GdJJRKIOamGCqXqJxrzU7jZMXeFUSFRFE1uuq1ewVv2LrV3g++QQPw8/N8/WfOwIoVcOut9vH27fazgoLyX9eBA7B5M9SrB2Fhno1TREREREQKLK95qHrsJReTgV5/fO8NvOe68uTXT/LO6ncAeK/te6TuT2X8qvGu6xYWU/9nKp0SOl229l6zejElbQoAU9pPoXvt7h6O30umTYOHH7b3Pe/UCT77zLP1nzsHjRvDmjUQEJB9LjERli3LPpcXGzfC7bfDyZNQubJdp5J7ERERERGfojn2kovJrm/GTObLLbOYun4qGZkZTE7Nvvb+mveZun6q250Gw4drP7xszU7j5J9r/5n9pLTJl5T5btd3fJj2Ieln0q/mJa6PXbtg0iQ7Uf7wQzupBzvJP33as8/atMlOwAEyM+0PwOrVds97fkyfDqdO2d+3boWUFM/FKSIiIiIi14V67CUXjYAfAIuhi2J5+bv2ANxf9X7qlanH8r3LcRonjco1ItAvkO93f+92d4MyDS5bs8NyUDe2Lmv2r8FpnNQvU58PUj/gbNZZutXqxozNM+gyvQsA1ZZW48c+P+LnuAZD2j3hl1+gZk04ftzuLX/sMfu8wwHx8Z5fUO+WW+yV+I8eBacz+1lRUfa1/Khf3/4R4vzCePHxno1VRERERESuOSX2kosRQGXgGF9u/SewD4DZP81m/7P7mbRmEhFBETxa51GcTidPfv0ku9J3USemDtVLVadrra651v7fR/7LpDWTKBFagpR9KfSc1dNVf3hQOA7LgdM42XhoIwd+P0CZiDLX9nULKiXFTurBHhJfuTJMmQK//gqPPmonzZ4UEWHPr586FWrUsM+tW2cP/w8Pz19dLVvC3Ll2fR07QkyMZ2MVEREREZFrTovn5VHRXTzP9sp3r/DiwhcBuK34bXzS8RPqlannsfqrjqvKliNbACgWXIx327xLp3/b8/Nrla7F6se/wM8xFigGPAuEeuzZV+3AAahWze5BDwqyh8QnJHg7KhERERER8XFaPE88akjTIZzJPMPw74ez4+gOmk1pxs/JPxNzk2d6eHvU7sHgBYMB6FarGw8mPMiKYiv4+ejPtK7cGj9HI2AjYIC9wDseea5HxMTYPeaLFtlD2ytV8nZEIiIiIiJShGjxPMkTy7JwWA4cloMsk8WZzDPsPLYTp3Hy8uKXuefje/jkx09c5Z3GybBFw/jTx3+6ZGE9gF3HdvHwvx+m0+ed2P7bdgY1GcTyXsv5rsd3vHnPmwDcXuZ2Hqr+EDcF3gRsBrIAJ7Dh8oEaAyNGwD332IvYXS9lykCXLp5N6tPT4YknoG1bWL7cc/WKiIiIiMgNRUPx86ioD8VfumcpGw9tZMC8ARw7c4xGZRuxqMcipm2YxiMzHnGV2/DUBqqVrMaUtCk8+sWjgL313eanN2NhseHQBu685U7a/qstKft+4O6KUDKsKh+0zyVZB+BF4BXAD5gGdMy52LRp8NBD2cdr19rz0Bcvtheau/NOz89537MHVq2yt6ArVcpz9fbtCxMn2t8jI+HQIfArpAsIXo0ff7R3Fbj7bnsBPxERERERATQUXzxozNIxPDfvOQA6JXTixWYvEh8dj5/Dj4MnD2JhYbB/Hzp08hCUhNT9qa77DYbZ22YzYN4AzjnPcWvUrViWxacPOOkYD/YQ+3eAJ3KJ4mWgN/bc+pKXL3bwoJ24n/+96tAheP55GDXKPu7fH8aMKdCfQ45++glq17b3gS9RAjZsgNKlPVP3r7/a/3U67d77s2dvvMT3iy/g/vvtv6/bb4dly+wV/kVEREREJM/0f9ByWesPrqfa29Vcc98BPt/wOeUiyrm2nuteuzu1YmoB8GC1B2lycxMAQvzdE9Dle5aTZbIA2H50O08kPvZHUn/eZ3mIqDy5JvUAjzwCdeva3++/H5o3h0+ypwjwr3/l4Tm5+Oc/7cS9dm3Yvt1eUf7kSfvakSPw/fe53p4vzz9v/1jg52f/MHGjJfUA//lP9giKlBR760AREREREckXJfZFnDGG9DPpHD19lNPnTrtdGzB3AFuObOGc81x2eQxvpbzFz0d/5ujpoxQPKU7qE6lkvJDBtAenuRL++yrf57onKjiK+yrfh9PYe66XDC3JY3WfwJgmFzzt7rwFfPJk9t7tOSlWDL77zl6p/vPPISPDnm9/XsuWeXtOTjIyoHdve1TA+vXw0kvQpAn4/zHwJTQU6nlupwDq1rV77U+fhgEDPFdvYdKiRfbf5223abs9EREREZECUGJfhP1+9nduefMWio0uRvFXixM6IpTXf3jddd3fz5+clmB4ceGLVBxbkeKvFqfLf7oAEOgX6FamanRVbo64GYBg/yC6zexGmXB4+c6SrH58HpHBkVjWbOBdYDowmFwZA336wE03QfnysGNHzuVGjYKwMDtBDAmxy4eFwUcf2Yvpvf9+Xv94LmVZdhJ/voc5MBBq1oSVK2HsWFizxo7NkywLAgI8W2dh0qMHzJkD48fD0qXZP5KIiIiIiEieafG8PLoRF897Zs4zvLniTbdzfpYfGS9k4Ofwo9+cfvxjxT8ACA0IpVxEOfad2MfvZ393u8cMvbQJjV4ymue/fd7VSw/gsOCFpvC/d44B+ucv2J9+snt0wR6a/te/whtvuJcxxk62MzMvvX/fPoiLy98zc/L11/YQ+bg4mDwZYmOvvk4REREREZEc5DUPVY99EXbi7IlLzkUERuCw7Gbxy4lfcPzRRE6dO8WK3iuIDo12K+9v5dzDGhse65bUAzgNxIUDFCDBLlbMTtotyx66nVOSbll2uYvPhYRAeHj+n5mT1q3tlfZnz1ZSLyIiIiIihYLGvRZhLzV/ianrp3Ly3EnXucS4RKw/hpo/Ve8pZm2ZRUZWBr3q9CIyOJLx942n9aetMRj8Hf7M7jI7x7ofqfkI+47vY/ne5SSUSmDjoXkkxp6gd91HgYdyvCdX0dHw1Vf2kO1q1SA5OedyCxfaC+gdPQrx8fa89379PJfYi4iIiIiIFDIaip9HvjIUf3f6bubvmE+dmDpsOryJ6NBoWlZsyaFTh/hm2zdkmSwCHAG0r9Ke05mnmbl5Ju+tfo81B9a46vh98O+EBYYB8Nvp3/jt9G+uLeouPFehWAW+2fYNZzLP0KFqBwL8cpsLvh5YCbQCyuTtZc6cgRkzICrKXgAvv/vPHz0Ks2ZBlSqQlGRvrebnB+3aaUs1EREREREp9LSPfRH0y4lfqDmhJukZ6W57y49oMYLxq8az9/heV9n46HiOnD7i2ocewGE5qFyiMqEBoa5yxUOKUzykuNtzzp8bNH8Qo38YDUDn6p355IFPyNlKoBGQCZQANgPRlyl7gY4d7SHvYC+KN3Dgle857+xZqF8ftm2zj++6CxYssL8nJ8Obb+a9LhERERERkUJM3ZY3kJR9KaRnpAO4knqAzzd+7pbUA2w6vImDJw+6lQ0LCGPr4a08/uXjl8yPz8kXW75wff9629e5lFwAZP3x/QiwJpeyfzAG/vvf7OMvv7zyPRfatSs7qXc44Icfsq/NmpW/ukRERERERAoxJfY3kAZlGxAVHAXg6oUHWPvr2jzdf+LsCZw4eT/1fVbsXXHF8h2rdnR9b1elXS4lW5I9OKQkkHjlYCwL7rsv+7hDhyvfc6FbboGqVe3vTic0a5Z97f7781eXiIiIiIhIIaY59nnkK3Ps9x7fy6Kdi6hdujb1J9Xn1LlTrmsWFtVKVmPDoQ2uc61va51jb/uGpzZQrWS1XJ9ljGHOT3PIyMqgTeU2+Dtym9mxCVgN3AXkcTX5jAy7pz4qClq0yP8c+/R0e3u6ypWhTh37u58f3Huv5tiLiIiIiEihl9c8VIl9HvlKYr8nfQ+DFwzmnPMc3/78LYdPHXZds7B49e5X2f/7fpbvXU7vur3pXKMzz817jjW/rKFEaAmOnDpCzzo96VW3lxffQkRERERERLR4Xg7Gjx/Pa6+9xv79+0lISODNN9+kadOm3g7Lo7rP7M53u74DcO1HDxDgCOBvjf9GcoPkS1avf+vet65rjCIiIiIiIuI5RWY88meffUa/fv0YMmQIqampNG3alHvvvZfdu3d7OzSP2nt8L1kmiyyThb/DH4flwGE5aF6+Oa+0eOUKW9KJiIiIiIiIrykyQ/Hr169P3bp1mTBhgutcfHw8HTp0YOTIkVe83xeG4n+09iO6z+yOweBn+TGp3SR2pe8i05lJvwb9Ltm2TkRERERERAovDcW/wNmzZ1m9ejWDBg1yO9+qVSuWLl2a4z0ZGRlkZGS4jo8fP35NY/SE0T+Mdm1dFxEUQffa3b0ckYiIiIiIiFxrRWIo/uHDh8nKyqJ06dJu50uXLs2BAwdyvGfkyJFERka6PuXKlbseoV6VhJIJOCwHfpYf8SXjvR2OiIiIiIiIXAdFosf+POui7dKMMZecO2/w4MH079/fdXz8+PFCn9y/1+49bitxG2cyzzCg0QBvhyMiIiIiIiLXQZFI7KOjo/Hz87ukd/7gwYOX9OKfFxQURFBQ0PUIz2MigiJ4pcUr3g5DRERERERErqMiMRQ/MDCQxMRE5s2b53Z+3rx5NGrUyEtRiYiIiIiIiFy9ItFjD9C/f3+6du1KUlISDRs25N1332X37t306dPH26GJiIiIiIiIFFiRSewfeughjhw5wt///nf2799P9erV+eabbyhfvry3QxMREREREREpsCKzj/3V8oV97EVEREREROTGkdc8tEjMsRcRERERERG5USmxFxEREREREfFhSuxFREREREREfJgSexEREREREREfpsReRERERERExIcpsRcRERERERHxYUrsRURERERERHyYEnsRERERERERH6bEXkRERERERMSHKbEXERERERER8WFK7EVERERERER8mBJ7ERERERERER+mxF5ERERERETEhymxFxEREREREfFhSuxFREREREREfJgSexEREREREREfpsReRERERERExIcpsRcRERERERHxYUrsRURERERERHyYEnsRERERERERH+bv7QB8hTEGgOPHj3s5EhERERERESkKzuef5/PRy1Fin0cnTpwAoFy5cl6ORERERERERIqSEydOEBkZednrlrlS6i8AOJ1OfvnlF8LDw7Esy9vh5Oj48eOUK1eOPXv2EBER4e1wRHKkdiqFndqo+AK1U/EFaqdS2PlCGzXGcOLECeLi4nA4Lj+TXj32eeRwOChbtqy3w8iTiIiIQtswRc5TO5XCTm1UfIHaqfgCtVMp7Ap7G82tp/48LZ4nIiIiIiIi4sOU2IuIiIiIiIj4MCX2N5CgoCCGDh1KUFCQt0MRuSy1Uyns1EbFF6idii9QO5XC7kZqo1o8T0RERERERMSHqcdeRERERERExIcpsRcRERERERHxYUrsRURERERERHyYEnsRERERERERH6bE/gYxfvx4KlSoQHBwMImJiXz//ffeDkmKiJEjR1KvXj3Cw8MpVaoUHTp0YMuWLW5ljDEMGzaMuLg4QkJCuOOOO9iwYYNbmYyMDP7yl78QHR1NWFgY7dq1Y+/evdfzVaQIGTlyJJZl0a9fP9c5tVMpDPbt28cjjzxCiRIlCA0NpXbt2qxevdp1Xe1UvCkzM5MXXniBChUqEBISQsWKFfn73/+O0+l0lVEblevtu+++o23btsTFxWFZFjNnznS77qk2efToUbp27UpkZCSRkZF07dqVY8eOXeO3yzsl9jeAzz77jH79+jFkyBBSU1Np2rQp9957L7t37/Z2aFIELF68mL59+7J8+XLmzZtHZmYmrVq14uTJk64yr776Km+88Qbjxo1j5cqVxMTE0LJlS06cOOEq069fP2bMmMHUqVNZsmQJv//+O23atCErK8sbryU3sJUrV/Luu+9Ss2ZNt/Nqp+JtR48epXHjxgQEBDB79mw2btzImDFjKFasmKuM2ql40+jRo5k4cSLjxo1j06ZNvPrqq7z22mu89dZbrjJqo3K9nTx5klq1ajFu3Lgcr3uqTXbu3Jm0tDTmzJnDnDlzSEtLo2vXrtf8/fLMiM+7/fbbTZ8+fdzOVa1a1QwaNMhLEUlRdvDgQQOYxYsXG2OMcTqdJiYmxowaNcpV5syZMyYyMtJMnDjRGGPMsWPHTEBAgJk6daqrzL59+4zD4TBz5sy5vi8gN7QTJ06Y2267zcybN880b97cJCcnG2PUTqVwGDhwoGnSpMllr6udire1bt3a9OzZ0+1cx44dzSOPPGKMURsV7wPMjBkzXMeeapMbN240gFm+fLmrzLJlywxgNm/efI3fKm/UY+/jzp49y+rVq2nVqpXb+VatWrF06VIvRSVFWXp6OgDFixcH4Oeff+bAgQNubTQoKIjmzZu72ujq1as5d+6cW5m4uDiqV6+udiwe1bdvX1q3bs3dd9/tdl7tVAqDWbNmkZSUxIMPPkipUqWoU6cO7733nuu62ql4W5MmTViwYAFbt24FYO3atSxZsoT77rsPUBuVwsdTbXLZsmVERkZSv359V5kGDRoQGRlZaNqtv7cDkKtz+PBhsrKyKF26tNv50qVLc+DAAS9FJUWVMYb+/fvTpEkTqlevDuBqhzm10V27drnKBAYGEhUVdUkZtWPxlKlTp7JmzRpWrlx5yTW1UykMduzYwYQJE+jfvz/PP/88KSkp/PWvfyUoKIhu3bqpnYrXDRw4kPT0dKpWrYqfnx9ZWVkMHz6cP//5z4D+LZXCx1Nt8sCBA5QqVeqS+kuVKlVo2q0S+xuEZVlux8aYS86JXGtPP/00P/74I0uWLLnkWkHaqNqxeMqePXtITk5m7ty5BAcHX7ac2ql4k9PpJCkpiREjRgBQp04dNmzYwIQJE+jWrZurnNqpeMtnn33Gxx9/zKeffkpCQgJpaWn069ePuLg4unfv7iqnNiqFjSfaZE7lC1O71VB8HxcdHY2fn98lvxQdPHjwkl+mRK6lv/zlL8yaNYuFCxdStmxZ1/mYmBiAXNtoTEwMZ8+e5ejRo5ctI3I1Vq9ezcGDB0lMTMTf3x9/f38WL17M2LFj8ff3d7UztVPxptjYWKpVq+Z2Lj4+3rUYrv49FW8bMGAAgwYN4uGHH6ZGjRp07dqVZ555hpEjRwJqo1L4eKpNxsTE8Ouvv15S/6FDhwpNu1Vi7+MCAwNJTExk3rx5bufnzZtHo0aNvBSVFCXGGJ5++mmmT5/Ot99+S4UKFdyuV6hQgZiYGLc2evbsWRYvXuxqo4mJiQQEBLiV2b9/P+vXr1c7Fo+46667WLduHWlpaa5PUlISXbp0IS0tjYoVK6qditc1btz4ku1Ct27dSvny5QH9eyred+rUKRwO9/TBz8/Ptd2d2qgUNp5qkw0bNiQ9PZ2UlBRXmRUrVpCenl542q03VuwTz5o6daoJCAgwkyZNMhs3bjT9+vUzYWFhZufOnd4OTYqAJ5980kRGRppFixaZ/fv3uz6nTp1ylRk1apSJjIw006dPN+vWrTN//vOfTWxsrDl+/LirTJ8+fUzZsmXN/PnzzZo1a0yLFi1MrVq1TGZmpjdeS4qAC1fFN0btVLwvJSXF+Pv7m+HDh5tt27aZTz75xISGhpqPP/7YVUbtVLype/fupkyZMuarr74yP//8s5k+fbqJjo42f/vb31xl1Eblejtx4oRJTU01qampBjBvvPGGSU1NNbt27TLGeK5N/ulPfzI1a9Y0y5YtM8uWLTM1atQwbdq0ue7vezlK7G8Qb7/9tilfvrwJDAw0devWdW01JnKtATl+PvjgA1cZp9Nphg4damJiYkxQUJBp1qyZWbdunVs9p0+fNk8//bQpXry4CQkJMW3atDG7d+++zm8jRcnFib3aqRQGX375palevboJCgoyVatWNe+++67bdbVT8abjx4+b5ORkc/PNN5vg4GBTsWJFM2TIEJORkeEqozYq19vChQtz/H/R7t27G2M81yaPHDliunTpYsLDw014eLjp0qWLOXr06HV6yyuzjDHGO2MFRERERERERORqaY69iIiIiIiIiA9TYi8iIiIiIiLiw5TYi4iIiIiIiPgwJfYiIiIiIiIiPkyJvYiIiIiIiIgPU2IvIiIiIiIi4sOU2IuIiIiIiIj4MCX2IiIiIiIiIj5Mib2IiIhcN8OGDaN27dreDgOAHj160KFDB2+HISIictWU2IuIiPigAwcOkJycTKVKlQgODqZ06dI0adKEiRMncurUKW+HVyDDhg3DsqxcPzt37sx3vTt37sSyLNLS0jwes4iISGHg7+0AREREJH927NhB48aNKVasGCNGjKBGjRpkZmaydetWJk+eTFxcHO3atcvx3nPnzhEQEHCdI86b5557jj59+riO69Wrx+OPP85jjz3mOleyZEnX97NnzxIYGHhdYxQRESmM1GMvIiLiY5566in8/f1ZtWoVnTp1Ij4+nho1avDAAw/w9ddf07ZtW1dZy7KYOHEi7du3JywsjFdeeQWACRMmcOuttxIYGEiVKlX46KOPXPfk1MN97NgxLMti0aJFACxatAjLsliwYAFJSUmEhobSqFEjtmzZ4hbrqFGjKF26NOHh4fTq1YszZ85c9r1uuukmYmJiXB8/Pz/Cw8Ndx4MGDeKBBx5g5MiRxMXFUblyZdc7zpw5062uYsWKMWXKFAAqVKgAQJ06dbAsizvuuMOt7Ouvv05sbCwlSpSgb9++nDt37op/ByIiIoWJEnsREREfcuTIEebOnUvfvn0JCwvLsYxlWW7HQ4cOpX379qxbt46ePXsyY8YMkpOTefbZZ1m/fj1PPPEEjz76KAsXLsx3PEOGDGHMmDGsWrUKf39/evbs6bo2bdo0hg4dyvDhw1m1ahWxsbGMHz8+38+40IIFC9i0aRPz5s3jq6++ytM9KSkpAMyfP5/9+/czffp017WFCxeyfft2Fi5cyIcffsiUKVNcPwiIiIj4Cg3FFxER8SE//fQTxhiqVKnidj46OtrVG963b19Gjx7tuta5c2e3hLtz58706NGDp556CoD+/fuzfPlyXn/9de688858xTN8+HCaN28OwKBBg2jdujVnzpwhODiYN998k549e9K7d28AXnnlFebPn59rr/2VhIWF8f777+drCP754fslSpQgJibG7VpUVBTjxo3Dz8+PqlWr0rp1axYsWOA2/F9ERKSwU4+9iIiID7q4Vz4lJYW0tDQSEhLIyMhwu5aUlOR2vGnTJho3bux2rnHjxmzatCnfcdSsWdP1PTY2FoCDBw+6ntOwYUO38hcf51eNGjU8Oq8+ISEBPz8/13FsbKwrfhEREV+hHnsREREfUqlSJSzLYvPmzW7nK1asCEBISMgl9+Q0ZP/iHwaMMa5zDofDde68y807v3AhvvP3O53OK75HQV3uXS6MFS4f78UuXkjQsqxrGr+IiMi1oB57ERERH1KiRAlatmzJuHHjOHnyZIHqiI+PZ8mSJW7nli5dSnx8PJA9dH3//v2u6wXZKi4+Pp7ly5e7nbv42BNKlizpFuu2bdvctvw738OflZXl8WeLiIgUBuqxFxER8THjx4+ncePGJCUlMWzYMGrWrInD4WDlypVs3ryZxMTEXO8fMGAAnTp1om7dutx11118+eWXTJ8+nfnz5wN2r3+DBg0YNWoUt9xyC4cPH+aFF17Id5zJycl0796dpKQkmjRpwieffMKGDRtcows8pUWLFowbN44GDRrgdDoZOHCgW098qVKlCAkJYc6cOZQtW5bg4GAiIyM9GoOIiIg3qcdeRETEx9x6662kpqZy9913M3jwYGrVqkVSUhJvvfUWzz33HC+//HKu93fo0IF//OMfvPbaayQkJPDOO+/wwQcfuG0DN3nyZM6dO0dSUhLJycmubfLy46GHHuKll15i4MCBJCYmsmvXLp588sl813MlY8aMoVy5cjRr1ozOnTvz3HPPERoa6rru7+/P2LFjeeedd4iLi6N9+/Yej0FERMSbLHPxpDQRERERERER8RnqsRcRERERERHxYUrsRURERERERHyYEnsRERERERERH6bEXkRERERERMSHKbEXERERERER8WFK7EVERERERER8mBJ7ERERERERER+mxF5ERERERETEhymxFxEREREREfFhSuxFREREREREfJgSexEREREREREf9v/bpz/gljJn7wAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "runner = TestRunner(gpt_predictor, test, \"GPT-4o-mini Prediction Accuracy\").run()" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "id": "c43e2865-ac54-4ea8-9d2c-bbbeedf89029", + "metadata": {}, + "outputs": [], + "source": [ + "def frontier_predictor(item):\n", + " response = openai.chat.completions.create(\n", + " model=\"gpt-4o-2024-08-06\", \n", + " messages=messages_for(item),\n", + " seed=42,\n", + " max_tokens=6\n", + " )\n", + " reply = response.choices[0].message.content\n", + " return get_price(reply)" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "id": "4bf517b2-9a7e-4def-93ba-f728f16d91e2", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[91m1: Guess: $209.95 Truth: $374.41 Error: $164.46 SLE: 0.33 Item: OEM AC Compressor w/A/C Repair Kit For F...\u001b[0m\n", + "\u001b[91m2: Guess: $74.99 Truth: $225.11 Error: $150.12 SLE: 1.19 Item: Motorcraft YB3125 Fan Clutch\u001b[0m\n", + "\u001b[92m3: Guess: $50.00 Truth: $61.68 Error: $11.68 SLE: 0.04 Item: Dorman 603-159 Front Washer Fluid Reserv...\u001b[0m\n", + "\u001b[91m4: Guess: $450.00 Truth: $599.99 Error: $149.99 SLE: 0.08 Item: HP Premium 17.3-inch HD Plus Touchscreen...\u001b[0m\n", + "\u001b[92m5: Guess: $15.99 Truth: $16.99 Error: $1.00 SLE: 0.00 Item: 5-Position Super Switch Pickup Selector ...\u001b[0m\n", + "\u001b[92m6: Guess: $15.99 Truth: $31.99 Error: $16.00 SLE: 0.44 Item: Horror Bookmarks, Resin Horror Bookmarks...\u001b[0m\n", + "\u001b[93m7: Guess: $129.99 Truth: $101.79 Error: $28.20 SLE: 0.06 Item: SK6241 - Stinger 4 Gauge 6000 Series Pow...\u001b[0m\n", + "\u001b[92m8: Guess: $299.00 Truth: $289.00 Error: $10.00 SLE: 0.00 Item: Godox ML60Bi LED Light Kit, Handheld LED...\u001b[0m\n", + "\u001b[91m9: Guess: $450.00 Truth: $635.86 Error: $185.86 SLE: 0.12 Item: Randall RG75DG3PLUS G3 Plus 100-Watt Com...\u001b[0m\n", + "\u001b[92m10: Guess: $59.99 Truth: $65.99 Error: $6.00 SLE: 0.01 Item: HOLDWILL 6 Pack LED Shop Light, 4FT 24W ...\u001b[0m\n", + "\u001b[91m11: Guess: $209.99 Truth: $254.21 Error: $44.22 SLE: 0.04 Item: Viking Horns V103C/1005ATK 3 Gallon Air ...\u001b[0m\n", + "\u001b[91m12: Guess: $367.99 Truth: $412.99 Error: $45.00 SLE: 0.01 Item: CURT 70110 Custom Tow Bar Base Plate Bra...\u001b[0m\n", + "\u001b[91m13: Guess: $59.99 Truth: $205.50 Error: $145.51 SLE: 1.49 Item: 10-Pack Solar HAMMERED BRONZE Finish Pos...\u001b[0m\n", + "\u001b[91m14: Guess: $299.99 Truth: $248.23 Error: $51.76 SLE: 0.04 Item: COSTWAY Electric Tumble Dryer, Sliver\u001b[0m\n", + "\u001b[91m15: Guess: $299.99 Truth: $399.00 Error: $99.01 SLE: 0.08 Item: FREE SIGNAL TV Transit 32\" 12 Volt DC Po...\u001b[0m\n", + "\u001b[93m16: Guess: $350.00 Truth: $373.94 Error: $23.94 SLE: 0.00 Item: Bilstein 5100 Monotube Gas Shock Set com...\u001b[0m\n", + "\u001b[92m17: Guess: $99.99 Truth: $92.89 Error: $7.10 SLE: 0.01 Item: Sangean K-200 Multi-Function Upright AM/...\u001b[0m\n", + "\u001b[92m18: Guess: $43.99 Truth: $51.99 Error: $8.00 SLE: 0.03 Item: Charles Leonard Magnetic Lapboard Class ...\u001b[0m\n", + "\u001b[91m19: Guess: $100.00 Truth: $179.00 Error: $79.00 SLE: 0.33 Item: Gigabyte AMD Radeon HD 7870 2 GB GDDR5 D...\u001b[0m\n", + "\u001b[92m20: Guess: $12.99 Truth: $19.42 Error: $6.43 SLE: 0.14 Item: 3dRose LLC 8 x 8 x 0.25 Inches Bull Terr...\u001b[0m\n", + "\u001b[91m21: Guess: $599.00 Truth: $539.95 Error: $59.05 SLE: 0.01 Item: ROKINON 85mm F1.4 Auto Focus Full Frame ...\u001b[0m\n", + "\u001b[92m22: Guess: $150.00 Truth: $147.67 Error: $2.33 SLE: 0.00 Item: AUTOSAVER88 Headlight Assembly Compatibl...\u001b[0m\n", + "\u001b[92m23: Guess: $37.99 Truth: $24.99 Error: $13.00 SLE: 0.16 Item: ASI NAUTICAL 2.5 Inches Opera Glasses Bi...\u001b[0m\n", + "\u001b[91m24: Guess: $25.99 Truth: $149.00 Error: $123.01 SLE: 2.94 Item: Behringer TUBE OVERDRIVE TO100 Authentic...\u001b[0m\n", + "\u001b[92m25: Guess: $15.99 Truth: $16.99 Error: $1.00 SLE: 0.00 Item: Fun Express Insect Finger Puppets - 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...\u001b[0m\n", + "\u001b[93m52: Guess: $25.99 Truth: $46.78 Error: $20.79 SLE: 0.33 Item: G.I. 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Light...\u001b[0m\n", + "\u001b[91m92: Guess: $799.00 Truth: $997.99 Error: $198.99 SLE: 0.05 Item: Westin 57-4025 Black HDX Grille Guard fi...\u001b[0m\n", + "\u001b[92m93: Guess: $199.99 Truth: $219.00 Error: $19.01 SLE: 0.01 Item: Fieldpiece JL2 Job Link Wireless App Tra...\u001b[0m\n", + "\u001b[91m94: Guess: $175.99 Truth: $225.55 Error: $49.56 SLE: 0.06 Item: hansgrohe Talis S Modern Premium Easy Cl...\u001b[0m\n", + "\u001b[91m95: Guess: $1,499.00 Truth: $495.95 Error: $1,003.05 SLE: 1.22 Item: G-Technology G-SPEED eS PRO High-Perform...\u001b[0m\n", + "\u001b[91m96: Guess: $749.99 Truth: $942.37 Error: $192.38 SLE: 0.05 Item: DreamLine SHDR-1960723L-01 Shower Door, ...\u001b[0m\n", + "\u001b[92m97: Guess: $5.99 Truth: $1.94 Error: $4.05 SLE: 0.75 Item: Sanctuary Square Backplate Finish: Oiled...\u001b[0m\n", + "\u001b[92m98: Guess: $274.95 Truth: $284.34 Error: $9.39 SLE: 0.00 Item: Pelican Protector 1750 Long Case - Multi...\u001b[0m\n", + "\u001b[93m99: Guess: $150.00 Truth: $171.90 Error: $21.90 SLE: 0.02 Item: Brock Replacement Driver and Passenger H...\u001b[0m\n", + "\u001b[92m100: Guess: $149.99 Truth: $144.99 Error: $5.00 SLE: 0.00 Item: Carlinkit Ai Box Mini, Android 11, Multi...\u001b[0m\n", + "\u001b[93m101: Guess: $499.99 Truth: $470.47 Error: $29.52 SLE: 0.00 Item: StarDot NetCamLIVE2 YouTube Live Stream ...\u001b[0m\n", + "\u001b[91m102: Guess: $25.99 Truth: $66.95 Error: $40.96 SLE: 0.85 Item: Atomic Compatible FILXXCAR0016 16x25x5 M...\u001b[0m\n", + "\u001b[91m103: Guess: $60.00 Truth: $117.00 Error: $57.00 SLE: 0.44 Item: Bandai Awakening of S. H. s.h.figuarts s...\u001b[0m\n", + "\u001b[91m104: Guess: $125.00 Truth: $172.14 Error: $47.14 SLE: 0.10 Item: Fit System 62135G Passenger Side Towing ...\u001b[0m\n", + "\u001b[91m105: Guess: $350.00 Truth: $392.74 Error: $42.74 SLE: 0.01 Item: Black Horse Black Aluminum Exceed Runnin...\u001b[0m\n", + "\u001b[92m106: Guess: $19.99 Truth: $16.99 Error: $3.00 SLE: 0.02 Item: Dearsun Twinkle Star Color Night Light P...\u001b[0m\n", + "\u001b[92m107: Guess: $0.50 Truth: $1.34 Error: $0.84 SLE: 0.20 Item: Pokemon - Gallade Spirit Link (83/108) -...\u001b[0m\n", + "\u001b[91m108: Guess: $200.00 Truth: $349.98 Error: $149.98 SLE: 0.31 Item: Ibanez GA34STCE-NT GIO Series Classical ...\u001b[0m\n", + "\u001b[91m109: Guess: $650.00 Truth: $370.71 Error: $279.29 SLE: 0.31 Item: Set 2 Heavy Duty 12-16.5 12x16.5 12 Ply ...\u001b[0m\n", + "\u001b[92m110: Guess: $50.00 Truth: $65.88 Error: $15.88 SLE: 0.07 Item: Hairpin Table Legs 28\" Heavy Duty Hairpi...\u001b[0m\n", + "\u001b[92m111: Guess: $229.99 Truth: $229.99 Error: $0.00 SLE: 0.00 Item: Marada Racing Seat with Adjustable Slide...\u001b[0m\n", + "\u001b[92m112: Guess: $6.99 Truth: $9.14 Error: $2.15 SLE: 0.06 Item: Remington Industries 24UL1007STRWHI25 24...\u001b[0m\n", + "\u001b[91m113: Guess: $250.00 Truth: $199.00 Error: $51.00 SLE: 0.05 Item: Acer S3-391-6046 13.3-inch Ultrabook, In...\u001b[0m\n", + "\u001b[93m114: Guess: $129.99 Truth: $109.99 Error: $20.00 SLE: 0.03 Item: ICBEAMER 7\" RGB LED Headlights Bulb Halo...\u001b[0m\n", + "\u001b[91m115: Guess: $450.00 Truth: $570.42 Error: $120.42 SLE: 0.06 Item: R1 Concepts Front Rear Brakes and Rotors...\u001b[0m\n", + "\u001b[91m116: Guess: $169.99 Truth: $279.99 Error: $110.00 SLE: 0.25 Item: Camplux 2.64 GPM Tankless , Outdoor Port...\u001b[0m\n", + "\u001b[92m117: Guess: $25.99 Truth: $30.99 Error: $5.00 SLE: 0.03 Item: KNOKLOCK 10 Pack 3.75 Inch(96mm) Kitchen...\u001b[0m\n", + "\u001b[92m118: Guess: $24.95 Truth: $31.99 Error: $7.04 SLE: 0.06 Item: Valley Enterprises Yaesu USB FTDI CT-62 ...\u001b[0m\n", + "\u001b[92m119: Guess: $15.99 Truth: $15.90 Error: $0.09 SLE: 0.00 Item: G9 LED Light Bulbs,8W,75W 100W replaceme...\u001b[0m\n", + "\u001b[91m120: Guess: $129.99 Truth: $45.99 Error: $84.00 SLE: 1.05 Item: ZCHAOZ 4 Lights Antique White Farmhouse ...\u001b[0m\n", + "\u001b[91m121: Guess: $169.99 Truth: $113.52 Error: $56.47 SLE: 0.16 Item: Honeywell TH8320R1003 Honeywell VisionPr...\u001b[0m\n", + "\u001b[92m122: Guess: $500.00 Truth: $516.99 Error: $16.99 SLE: 0.00 Item: Patriot Exhaust H8013-1 1-7/8\" Clippster...\u001b[0m\n", + "\u001b[91m123: Guess: $120.00 Truth: $196.99 Error: $76.99 SLE: 0.24 Item: Fitrite Autopart New Front Left Driver S...\u001b[0m\n", + "\u001b[93m124: Guess: $15.99 Truth: $46.55 Error: $30.56 SLE: 1.06 Item: Technical Precision Replacement for GE G...\u001b[0m\n", + "\u001b[91m125: Guess: $274.99 Truth: $356.99 Error: $82.00 SLE: 0.07 Item: Covercraft Carhartt SeatSaver Front Row ...\u001b[0m\n", + "\u001b[92m126: Guess: $329.00 Truth: $319.95 Error: $9.05 SLE: 0.00 Item: Sennheiser SD Pro 2 (506008) - Double-Si...\u001b[0m\n", + "\u001b[92m127: Guess: $100.00 Truth: $96.06 Error: $3.94 SLE: 0.00 Item: Hitachi MAF0110 Mass Air Flow Sensor\u001b[0m\n", + "\u001b[92m128: Guess: $179.99 Truth: $190.99 Error: $11.00 SLE: 0.00 Item: AmScope SE305R-P-LED-PS36A 10X-30X LED C...\u001b[0m\n", + "\u001b[91m129: Guess: $75.00 Truth: $257.95 Error: $182.95 SLE: 1.50 Item: Front Left Driver Side Window Regulator ...\u001b[0m\n", + "\u001b[92m130: Guess: $50.00 Truth: $62.95 Error: $12.95 SLE: 0.05 Item: Premium Replica Hubcap Set, Fits Nissan ...\u001b[0m\n", + "\u001b[92m131: Guess: $29.99 Truth: $47.66 Error: $17.67 SLE: 0.20 Item: Excellerations Phonics Spelling Game for...\u001b[0m\n", + "\u001b[91m132: Guess: $299.99 Truth: $226.99 Error: $73.00 SLE: 0.08 Item: RC4WD BigDog Dual Axle Scale Car/Truck T...\u001b[0m\n", + "\u001b[92m133: Guess: $350.00 Truth: $359.95 Error: $9.95 SLE: 0.00 Item: Unknown Stage 2 Clutch Kit - Low Altitud...\u001b[0m\n", + "\u001b[91m134: Guess: $25.99 Truth: $78.40 Error: $52.41 SLE: 1.16 Item: 2002-2008 Dodge Ram 1500 Mopar 4X4 Emble...\u001b[0m\n", + "\u001b[93m135: Guess: $150.00 Truth: $172.77 Error: $22.77 SLE: 0.02 Item: Pro Comp Alloys Series 89 Wheel with Pol...\u001b[0m\n", + "\u001b[91m136: Guess: $239.66 Truth: $316.45 Error: $76.79 SLE: 0.08 Item: Detroit Axle - Front Rear Strut & Coil S...\u001b[0m\n", + "\u001b[91m137: Guess: $129.99 Truth: $87.99 Error: $42.00 SLE: 0.15 Item: ECCPP Rear Wheel Axle Replacement fit fo...\u001b[0m\n", + "\u001b[93m138: Guess: $250.00 Truth: $226.63 Error: $23.37 SLE: 0.01 Item: Dell Latitude E6520 Intel i7-2720QM 2.20...\u001b[0m\n", + "\u001b[92m139: Guess: $32.99 Truth: $31.49 Error: $1.50 SLE: 0.00 Item: F FIERCE CYCLE 251pcs Black Universal Mo...\u001b[0m\n", + "\u001b[92m140: Guess: $180.00 Truth: $196.00 Error: $16.00 SLE: 0.01 Item: Flash Furniture 4 Pk. HERCULES Series 88...\u001b[0m\n", + "\u001b[91m141: Guess: $32.99 Truth: $78.40 Error: $45.41 SLE: 0.72 Item: B&M 30287 Throttle Valve/Kickdown Cable,...\u001b[0m\n", + "\u001b[93m142: Guess: $150.00 Truth: $116.25 Error: $33.75 SLE: 0.06 Item: Gates TCK226 PowerGrip Premium Timing Be...\u001b[0m\n", + "\u001b[91m143: Guess: $180.00 Truth: $112.78 Error: $67.22 SLE: 0.22 Item: Monroe Shocks & Struts Quick-Strut 17149...\u001b[0m\n", + "\u001b[92m144: Guess: $32.99 Truth: $27.32 Error: $5.67 SLE: 0.03 Item: Feit Electric BPMR16/GU10/930CA/6 35W EQ...\u001b[0m\n", + "\u001b[91m145: Guess: $100.99 Truth: $145.91 Error: $44.92 SLE: 0.13 Item: Yellow Jacket 2806 Contractor Extension ...\u001b[0m\n", + "\u001b[91m146: Guess: $250.00 Truth: $171.09 Error: $78.91 SLE: 0.14 Item: Garage-Pro Tailgate SET Compatible with ...\u001b[0m\n", + "\u001b[92m147: Guess: $149.99 Truth: $167.95 Error: $17.96 SLE: 0.01 Item: 3M Perfect It Buffing and Polishing Kit ...\u001b[0m\n", + "\u001b[92m148: Guess: $45.99 Truth: $28.49 Error: $17.50 SLE: 0.22 Item: Chinese Style Dollhouse Model DIY Miniat...\u001b[0m\n", + "\u001b[93m149: Guess: $100.00 Truth: $122.23 Error: $22.23 SLE: 0.04 Item: Generic NRG Innovations SRK-161H Steerin...\u001b[0m\n", + "\u001b[92m150: Guess: $34.99 Truth: $32.99 Error: $2.00 SLE: 0.00 Item: Learning Resources Coding Critters Range...\u001b[0m\n", + "\u001b[93m151: Guess: $32.99 Truth: $71.20 Error: $38.21 SLE: 0.57 Item: Bosch Automotive 15463 Oxygen Sensor, OE...\u001b[0m\n", + "\u001b[93m152: Guess: $80.00 Truth: $112.75 Error: $32.75 SLE: 0.12 Item: Case of 24-2 Inch Blue Painters Tape - 6...\u001b[0m\n", + "\u001b[93m153: Guess: $120.00 Truth: $142.43 Error: $22.43 SLE: 0.03 Item: MOCA Engine Water Pump & Fan Clutch fit ...\u001b[0m\n", + "\u001b[91m154: Guess: $350.00 Truth: $398.99 Error: $48.99 SLE: 0.02 Item: SAREMAS Foot Step Bars for Hyundai Palis...\u001b[0m\n", + "\u001b[93m155: Guess: $480.00 Truth: $449.00 Error: $31.00 SLE: 0.00 Item: Gretsch G9210 Square Neck Boxcar Mahogan...\u001b[0m\n", + "\u001b[92m156: Guess: $169.99 Truth: $189.00 Error: $19.01 SLE: 0.01 Item: NikoMaku Mirror Dash Cam Front and Rear ...\u001b[0m\n", + "\u001b[93m157: Guess: $149.95 Truth: $120.91 Error: $29.04 SLE: 0.05 Item: Fenix HP25R v2.0 USB-C Rechargeable Head...\u001b[0m\n", + "\u001b[92m158: Guess: $189.99 Truth: $203.53 Error: $13.54 SLE: 0.00 Item: R&L Racing Heavy Duty Roll-Up Soft Tonne...\u001b[0m\n", + "\u001b[92m159: Guess: $349.99 Truth: $349.99 Error: $0.00 SLE: 0.00 Item: Garmin 010-02258-10 GPSMAP 64sx, Handhel...\u001b[0m\n", + "\u001b[93m160: Guess: $12.99 Truth: $34.35 Error: $21.36 SLE: 0.86 Item: Brown 5-7/8\" X 8-1/2\" X 3/16\" Thick Heav...\u001b[0m\n", + "\u001b[92m161: Guess: $399.99 Truth: $384.99 Error: $15.00 SLE: 0.00 Item: GAOMON PD2200 Pen Display & 20 Pen Nibs ...\u001b[0m\n", + "\u001b[93m162: Guess: $180.00 Truth: $211.00 Error: $31.00 SLE: 0.02 Item: VXMOTOR for 97-03 Ford F150/F250 Lightdu...\u001b[0m\n", + "\u001b[93m163: Guess: $150.00 Truth: $129.00 Error: $21.00 SLE: 0.02 Item: HP EliteBook 2540p Intel Core i7-640LM X...\u001b[0m\n", + "\u001b[91m164: Guess: $32.99 Truth: $111.45 Error: $78.46 SLE: 1.43 Item: Green EPX Mixing Nozzles 100-Pack-fits 3...\u001b[0m\n", + "\u001b[91m165: Guess: $32.99 Truth: $81.12 Error: $48.13 SLE: 0.78 Item: Box Partners 6 1/4 x 3 1/8\" 13 Pt. Manil...\u001b[0m\n", + "\u001b[91m166: Guess: $329.99 Truth: $457.08 Error: $127.09 SLE: 0.11 Item: Vixen Air 1/2\" NPT Air Ride Suspension H...\u001b[0m\n", + "\u001b[91m167: Guess: $99.99 Truth: $49.49 Error: $50.50 SLE: 0.48 Item: Smart Floor Lamp, 2700-6500K+RGBPink Mul...\u001b[0m\n", + "\u001b[93m168: Guess: $45.99 Truth: $80.56 Error: $34.57 SLE: 0.30 Item: SOZG 324mm Wheelbase Body Shell RC Car B...\u001b[0m\n", + "\u001b[91m169: Guess: $370.00 Truth: $278.39 Error: $91.61 SLE: 0.08 Item: Mickey Thompson ET Street S/S Racing Rad...\u001b[0m\n", + "\u001b[91m170: Guess: $280.00 Truth: $364.50 Error: $84.50 SLE: 0.07 Item: Pirelli 275/40R20 106W XL RFT P0 PZ4-LUX...\u001b[0m\n", + "\u001b[91m171: Guess: $296.99 Truth: $378.99 Error: $82.00 SLE: 0.06 Item: Torklift C3212 Rear Tie Down\u001b[0m\n", + "\u001b[92m172: Guess: $150.00 Truth: $165.28 Error: $15.28 SLE: 0.01 Item: Cardone 78-4226 Remanufactured Ford Comp...\u001b[0m\n", + "\u001b[92m173: Guess: $45.99 Truth: $56.74 Error: $10.75 SLE: 0.04 Item: Kidde AccessPoint 001798 Supra TouchPoin...\u001b[0m\n", + "\u001b[91m174: Guess: $175.00 Truth: $307.95 Error: $132.95 SLE: 0.32 Item: 3M Protecta 3100414 Self Retracting Life...\u001b[0m\n", + "\u001b[93m175: Guess: $65.00 Truth: $38.00 Error: $27.00 SLE: 0.28 Item: Plantronics 89435-01 Wired Headset, Blac...\u001b[0m\n", + "\u001b[92m176: Guess: $59.99 Truth: $53.00 Error: $6.99 SLE: 0.01 Item: Logitech K750 Wireless Solar Keyboard fo...\u001b[0m\n", + "\u001b[92m177: Guess: $500.00 Truth: $498.00 Error: $2.00 SLE: 0.00 Item: Olympus PEN E-PL9 Body Only with 3-Inch ...\u001b[0m\n", + "\u001b[91m178: Guess: $100.00 Truth: $53.99 Error: $46.01 SLE: 0.37 Item: Beck/Arnley 051-6066 Hub & Bearing Assem...\u001b[0m\n", + "\u001b[91m179: Guess: $250.00 Truth: $350.00 Error: $100.00 SLE: 0.11 Item: Eibach Pro-Kit Performance Springs E10-6...\u001b[0m\n", + "\u001b[91m180: Guess: $199.99 Truth: $299.95 Error: $99.96 SLE: 0.16 Item: LEGO DC Batman 1989 Batwing 76161 Displa...\u001b[0m\n", + "\u001b[92m181: Guess: $80.00 Truth: $94.93 Error: $14.93 SLE: 0.03 Item: Kingston Brass KS3608PL Restoration 4-In...\u001b[0m\n", + "\u001b[93m182: Guess: $399.00 Truth: $379.00 Error: $20.00 SLE: 0.00 Item: Polk Vanishing Series 265-LS In-Wall 3-W...\u001b[0m\n", + "\u001b[91m183: Guess: $250.00 Truth: $299.95 Error: $49.95 SLE: 0.03 Item: Spec-D Tuning LED Projector Headlights G...\u001b[0m\n", + "\u001b[92m184: Guess: $29.99 Truth: $24.99 Error: $5.00 SLE: 0.03 Item: RICHMOND & FINCH Airpod Pro Case, Green ...\u001b[0m\n", + "\u001b[92m185: Guess: $32.99 Truth: $41.04 Error: $8.05 SLE: 0.05 Item: LFA Industries 43B-5A-33JT 1/16-1/2-1.5-...\u001b[0m\n", + "\u001b[93m186: Guess: $299.99 Truth: $327.90 Error: $27.91 SLE: 0.01 Item: SAUTVS LED Headlight Assembly for Slings...\u001b[0m\n", + "\u001b[92m187: Guess: $14.99 Truth: $10.99 Error: $4.00 SLE: 0.08 Item: 2 Pack Combo Womens Safety Glasses Impac...\u001b[0m\n", + "\u001b[92m188: Guess: $14.99 Truth: $14.99 Error: $0.00 SLE: 0.00 Item: Arepa - Venezuelan cuisine - Venezuela P...\u001b[0m\n", + "\u001b[91m189: Guess: $15.99 Truth: $84.95 Error: $68.96 SLE: 2.63 Item: Schlage Lock Company KS23D2300 Padlock, ...\u001b[0m\n", + "\u001b[93m190: Guess: $79.99 Truth: $111.00 Error: $31.01 SLE: 0.11 Item: Techni Mobili White Sit to Stand Mobile ...\u001b[0m\n", + "\u001b[93m191: Guess: $85.99 Truth: $123.73 Error: $37.74 SLE: 0.13 Item: Special Lite Products Contemporary Wall ...\u001b[0m\n", + "\u001b[91m192: Guess: $500.00 Truth: $557.38 Error: $57.38 SLE: 0.01 Item: Tascam DP-24SD 24-Track Digital Portastu...\u001b[0m\n", + "\u001b[91m193: Guess: $250.00 Truth: $95.55 Error: $154.45 SLE: 0.91 Item: Glow Lighting 636CC10SP Vista Crystal Fl...\u001b[0m\n", + "\u001b[92m194: Guess: $149.99 Truth: $154.00 Error: $4.01 SLE: 0.00 Item: Z3 Wind Deflector, Smoke Tint, Lexan, Wi...\u001b[0m\n", + "\u001b[91m195: Guess: $150.00 Truth: $198.99 Error: $48.99 SLE: 0.08 Item: Olympus E-20 5MP Digital Camera w/ 4x Op...\u001b[0m\n", + "\u001b[91m196: Guess: $129.99 Truth: $430.44 Error: $300.45 SLE: 1.42 Item: PHYNEDI 1:1000 World Trade Center (1973-...\u001b[0m\n", + "\u001b[93m197: Guess: $15.99 Truth: $45.67 Error: $29.68 SLE: 1.02 Item: YANGHUAN Unstable Unicorns Adventure Car...\u001b[0m\n", + "\u001b[91m198: Guess: $150.00 Truth: $249.00 Error: $99.00 SLE: 0.25 Item: Interlogix NX-1820E NetworX Touch Screen...\u001b[0m\n", + "\u001b[92m199: Guess: $45.99 Truth: $42.99 Error: $3.00 SLE: 0.00 Item: Steering Damper,Universal Motorcycle Han...\u001b[0m\n", + "\u001b[93m200: Guess: $150.00 Truth: $181.33 Error: $31.33 SLE: 0.04 Item: Amprobe TIC 410A Hot Stick Attachment\u001b[0m\n", + "\u001b[92m201: Guess: $2.99 Truth: $6.03 Error: $3.04 SLE: 0.32 Item: MyCableMart 3.5mm Plug/Jack, 4 Conductor...\u001b[0m\n", + "\u001b[92m202: Guess: $30.00 Truth: $29.99 Error: $0.01 SLE: 0.00 Item: OtterBox + Pop Symmetry Series Case for ...\u001b[0m\n", + "\u001b[91m203: Guess: $500.00 Truth: $899.00 Error: $399.00 SLE: 0.34 Item: Dell XPS X8700-1572BLK Desktop ( Intel C...\u001b[0m\n", + "\u001b[92m204: Guess: $399.99 Truth: $399.99 Error: $0.00 SLE: 0.00 Item: Franklin Iron Works Sperry Industrial Br...\u001b[0m\n", + "\u001b[93m205: Guess: $32.99 Truth: $4.66 Error: $28.33 SLE: 3.21 Item: Avery Legal Dividers, Standard Collated ...\u001b[0m\n", + "\u001b[91m206: Guess: $315.00 Truth: $261.41 Error: $53.59 SLE: 0.03 Item: Moen 8346 Commercial Posi-Temp Pressure ...\u001b[0m\n", + "\u001b[92m207: Guess: $134.99 Truth: $136.97 Error: $1.98 SLE: 0.00 Item: Carlisle Versa Trail ATR All Terrain Rad...\u001b[0m\n", + "\u001b[91m208: Guess: $180.00 Truth: $79.00 Error: $101.00 SLE: 0.67 Item: SUNWAYFOTO 44mm Tripod Ball Head Arca Co...\u001b[0m\n", + "\u001b[91m209: Guess: $400.00 Truth: $444.99 Error: $44.99 SLE: 0.01 Item: NanoBeam AC NBE-5AC-Gen2-US 4 Units 5GHz...\u001b[0m\n", + "\u001b[92m210: Guess: $399.99 Truth: $411.94 Error: $11.95 SLE: 0.00 Item: WULF 4\" Front 2\" Rear Leveling Lift Kit ...\u001b[0m\n", + "\u001b[92m211: Guess: $165.00 Truth: $148.40 Error: $16.60 SLE: 0.01 Item: Alera ALEVABFMC Valencia Series Mobile B...\u001b[0m\n", + "\u001b[91m212: Guess: $65.00 Truth: $244.99 Error: $179.99 SLE: 1.73 Item: YU-GI-OH! Ignition Assault Booster Box\u001b[0m\n", + "\u001b[91m213: Guess: $150.00 Truth: $86.50 Error: $63.50 SLE: 0.30 Item: 48\" x 36\" Extra-Large Framed Magnetic Bl...\u001b[0m\n", + "\u001b[91m214: Guess: $100.00 Truth: $297.95 Error: $197.95 SLE: 1.18 Item: Dell Latitude D620 Renewed Notebook PC\u001b[0m\n", + "\u001b[91m215: Guess: $490.00 Truth: $399.99 Error: $90.01 SLE: 0.04 Item: acer Aspire 5 Laptop, AMD Ryzen 3 5300U ...\u001b[0m\n", + "\u001b[91m216: Guess: $450.00 Truth: $599.00 Error: $149.00 SLE: 0.08 Item: Elk 31080/6RC-GRN 30 by 6-Inch Viva 6-Li...\u001b[0m\n", + "\u001b[93m217: Guess: $75.00 Truth: $105.99 Error: $30.99 SLE: 0.12 Item: Barbie Top Model Doll\u001b[0m\n", + "\u001b[91m218: Guess: $749.99 Truth: $689.00 Error: $60.99 SLE: 0.01 Item: Danby Designer 20-In. Electric Range wit...\u001b[0m\n", + "\u001b[92m219: Guess: $399.00 Truth: $404.99 Error: $5.99 SLE: 0.00 Item: FixtureDisplays® Metal Truss Podium Doub...\u001b[0m\n", + "\u001b[93m220: Guess: $180.00 Truth: $207.76 Error: $27.76 SLE: 0.02 Item: ACDelco 13597235 GM Original Equipment A...\u001b[0m\n", + "\u001b[91m221: Guess: $275.00 Truth: $171.82 Error: $103.18 SLE: 0.22 Item: EBC S1KF1135 Stage-1 Premium Street Brak...\u001b[0m\n", + "\u001b[92m222: Guess: $299.99 Truth: $293.24 Error: $6.75 SLE: 0.00 Item: FXR Men's Boost FX Jacket (Black/Orange/...\u001b[0m\n", + "\u001b[93m223: Guess: $399.95 Truth: $374.95 Error: $25.00 SLE: 0.00 Item: SuperATV Scratch Resistant 3-in-1 Flip W...\u001b[0m\n", + "\u001b[91m224: Guess: $69.99 Truth: $111.99 Error: $42.00 SLE: 0.22 Item: SBU 3 Layer All Weather Mini Van Car Cov...\u001b[0m\n", + "\u001b[92m225: Guess: $32.99 Truth: $42.99 Error: $10.00 SLE: 0.07 Item: 2 Pack Outdoor Brochure Holder Advertisi...\u001b[0m\n", + "\u001b[91m226: Guess: $180.00 Truth: $116.71 Error: $63.29 SLE: 0.19 Item: Monroe Shocks & Struts Quick-Strut 17158...\u001b[0m\n", + "\u001b[91m227: Guess: $175.99 Truth: $118.61 Error: $57.38 SLE: 0.15 Item: Elements of Design Magellan EB235AL Thre...\u001b[0m\n", + "\u001b[92m228: Guess: $150.00 Truth: $147.12 Error: $2.88 SLE: 0.00 Item: GM Genuine Parts 15-62961 Air Conditioni...\u001b[0m\n", + "\u001b[92m229: Guess: $129.99 Truth: $119.99 Error: $10.00 SLE: 0.01 Item: Baseus 17-in-1 USB C Docking Station to ...\u001b[0m\n", + "\u001b[91m230: Guess: $299.99 Truth: $369.98 Error: $69.99 SLE: 0.04 Item: Whitehall™ Personalized Whitehall Capito...\u001b[0m\n", + "\u001b[91m231: Guess: $269.95 Truth: $315.55 Error: $45.60 SLE: 0.02 Item: Pro Circuit Works Pipe PY05250 for 02-19...\u001b[0m\n", + "\u001b[92m232: Guess: $179.99 Truth: $190.99 Error: $11.00 SLE: 0.00 Item: HYANKA 15 \"1200W Professional DJ Speaker...\u001b[0m\n", + "\u001b[93m233: Guess: $180.00 Truth: $155.00 Error: $25.00 SLE: 0.02 Item: Bluetooth X6BT Card Reader Writer Encode...\u001b[0m\n", + "\u001b[91m234: Guess: $399.99 Truth: $349.99 Error: $50.00 SLE: 0.02 Item: AIRAID Cold Air Intake System by K&N: In...\u001b[0m\n", + "\u001b[91m235: Guess: $329.99 Truth: $249.99 Error: $80.00 SLE: 0.08 Item: Bostingner Shower Faucets Sets Complete,...\u001b[0m\n", + "\u001b[92m236: Guess: $35.99 Truth: $42.99 Error: $7.00 SLE: 0.03 Item: PIT66 Front Bumper Turn Signal Lights, C...\u001b[0m\n", + "\u001b[92m237: Guess: $16.99 Truth: $17.99 Error: $1.00 SLE: 0.00 Item: Caseology Bumpy Compatible with Google P...\u001b[0m\n", + "\u001b[91m238: Guess: $350.00 Truth: $425.00 Error: $75.00 SLE: 0.04 Item: Fleck 2510 Timer Mechanical Filter Contr...\u001b[0m\n", + "\u001b[93m239: Guess: $229.99 Truth: $249.99 Error: $20.00 SLE: 0.01 Item: Haloview MC7108 Wireless RV Backup Camer...\u001b[0m\n", + "\u001b[91m240: Guess: $30.00 Truth: $138.23 Error: $108.23 SLE: 2.26 Item: Schmidt Spiele - Manhattan\u001b[0m\n", + "\u001b[92m241: Guess: $399.99 Truth: $414.99 Error: $15.00 SLE: 0.00 Item: Corsa 14333 Tip Kit (Ford Mustang GT)\u001b[0m\n", + "\u001b[92m242: Guess: $150.00 Truth: $168.28 Error: $18.28 SLE: 0.01 Item: Hoshizaki FM116A Fan Motor Kit 1\u001b[0m\n", + "\u001b[91m243: Guess: $299.99 Truth: $199.99 Error: $100.00 SLE: 0.16 Item: BAINUO Antler Chandelier Lighting,6 Ligh...\u001b[0m\n", + "\u001b[93m244: Guess: $150.00 Truth: $126.70 Error: $23.30 SLE: 0.03 Item: DNA MOTORING HL-OH-FEXP06-SM-AM Smoke Le...\u001b[0m\n", + "\u001b[92m245: Guess: $10.99 Truth: $5.91 Error: $5.08 SLE: 0.30 Item: Wera Stainless 3840/1 TS 2.5mm Hex Inser...\u001b[0m\n", + "\u001b[93m246: Guess: $229.99 Truth: $193.06 Error: $36.93 SLE: 0.03 Item: Celestron - PowerSeeker 127EQ Telescope ...\u001b[0m\n", + "\u001b[91m247: Guess: $299.99 Truth: $249.99 Error: $50.00 SLE: 0.03 Item: NHOPEEW 10.1inch Android Car Radio Carpl...\u001b[0m\n", + "\u001b[92m248: Guess: $50.00 Truth: $64.12 Error: $14.12 SLE: 0.06 Item: Other Harmonica (Suzuki-2Timer24- A)\u001b[0m\n", + "\u001b[93m249: Guess: $150.00 Truth: $114.99 Error: $35.01 SLE: 0.07 Item: Harley Air Filter Venturi Intake Air Cle...\u001b[0m\n", + "\u001b[91m250: Guess: $999.00 Truth: $926.00 Error: $73.00 SLE: 0.01 Item: Elite Screens Edge Free Ambient Light Re...\u001b[0m\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "runner = TestRunner(frontier_predictor, test, \"GPT-4o Frontier Prediction\").run()" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "id": "059b6c74-917f-4cb1-b810-ce70735a57be", + "metadata": {}, + "outputs": [], + "source": [ + "train_prompts = [item.prompt for item in train]\n", + "train_prices = [item.price for item in train]\n", + "test_prompts = [item.test_prompt() for item in test]\n", + "test_prices = [item.price for item in test]" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "id": "b8ba48cb-da5e-4ddb-8955-8a94e62ea8e0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'How much does this cost to the nearest dollar?\\n\\nDorman Front Washer Fluid Reservoir Compatible with Select Ford/Lincoln/Mercury Models\\nThis washer fluid reservoir is designed to match the fit and function of the original equipment reservoir. It is engineered to withstand the stresses of underhood heat and engine vibration on specified vehicle makes, models, and years. This part is compatible with the following vehicles. Before purchasing, enter your vehicle trim in the garage tool to confirm fitment. Ford Explorer 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010 - Lincoln Aviator 2003, 2004, 2005 - Mercury Mountaineer 2002, 2003, 2004, 2005, \\n\\nPrice is $'" + ] + }, + "execution_count": 50, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "test_prompts[2]" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "id": "f9ee2e90-79b6-4232-b955-b1c67bc3d600", + "metadata": {}, + "outputs": [], + "source": [ + "# Create a Dataset from the lists\n", + "train_dataset = Dataset.from_dict({\"text\": train_prompts, \"price\": train_prices})\n", + "test_dataset = Dataset.from_dict({\"text\": test_prompts, \"price\": test_prices})\n", + "dataset = DatasetDict({\n", + " \"train\": train_dataset,\n", + " \"test\": test_dataset\n", + "})" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "id": "e69e26a5-4b24-4e0f-8944-731c534b285b", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "a36a1255a7ee40169af4b99eb723659b", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Uploading the dataset shards: 0%| | 0/1 [00:00= low and token_count < high" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "059152d0-a68a-4e93-b759-45f3c6baf31e", + "metadata": {}, + "outputs": [], + "source": [ + "# Create a list called \"items\" with all our datapoints that have a valid price\n", + "\n", + "from collections import Counter\n", + "counts = Counter()\n", + "items = []\n", + "for data in tqdm(dataset):\n", + " try:\n", + " price_str = data['price']\n", + " if float(price_str) > 0:\n", + " items.append(Item(data))\n", + " except ValueError:\n", + " counts[data['price']]+=1" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8752310a-ca69-4d43-b8bd-fd98aebbc805", + "metadata": {}, + "outputs": [], + "source": [ + "counts.most_common(10)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "011bffcf-03f8-4f0d-8999-b53d1ac88624", + "metadata": {}, + "outputs": [], + "source": [ + "# Let's investigate:\n", + "\n", + "print(f\"There are {len(items):,} out of {len(dataset):,} with prices\\n\")\n", + "print(f\"Item 0 has {items[0].token_count()} tokens:\\n\")\n", + "print(items[0].full_prompt)\n", + "print(f\"\\nItem 1 has {items[1].token_count()} tokens:\\n\")\n", + "print(items[1].full_prompt)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fcf74830-1e97-4543-b454-eefd314fc106", + "metadata": {}, + "outputs": [], + "source": [ + "# Plot the distribution of character count\n", + "\n", + "lengths = [len(item.full_prompt) for item in items]\n", + "fig, ax = plt.subplots(1, 1)\n", + "ax.set_xlabel('Length')\n", + "ax.set_ylabel('Count of items');\n", + "_ = ax.hist(lengths, rwidth=0.7, color=\"lightblue\", bins=range(0, 5000, 250))\n", + "\n", + "print(f\"Average length is {sum(lengths)/len(lengths):,.1f} and highest length is {max(lengths):,}\\n\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "af1d6c8b-f2ae-4691-9306-989b1bd45233", + "metadata": {}, + "outputs": [], + "source": [ + "print(f\"There are total {len(items):,} items\")\n", + "cutoff = 1500\n", + "selection = [item for item in items if len(item.full_prompt) < cutoff]\n", + "print(f\"There are total {len(selection):,} with under {cutoff:,} character training prompt\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "42231dc7-66fb-4437-ba08-7689514a8b19", + "metadata": {}, + "outputs": [], + "source": [ + "# Calculate token sizes in selection\n", + "\n", + "token_counts = [item.token_count() for item in tqdm(selection)]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d5dde349-610a-4e96-a2ea-9178a9c1fa2a", + "metadata": {}, + "outputs": [], + "source": [ + "# Plot the distribution of tokens\n", + "\n", + "fig, ax = plt.subplots(1, 1)\n", + "ax.set_xlabel('Number of tokens')\n", + "ax.set_ylabel('Count of items');\n", + "_ = ax.hist(token_counts, rwidth=0.7, color=\"orange\", bins=range(0, 500, 25))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "da0a20b4-8926-4eff-bf83-11c4f6b40455", + "metadata": {}, + "outputs": [], + "source": [ + "def report(item):\n", + " prompt = item.full_prompt\n", + " tokens = Item.tokenizer.encode(item.full_prompt)\n", + " print(prompt)\n", + " print(tokens[-8:])\n", + " print(Item.tokenizer.batch_decode(tokens[-8:]))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2378cb92-305a-49d0-8193-4ae09a0cccf8", + "metadata": {}, + "outputs": [], + "source": [ + "report(items[0])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1232004a-ff9b-486a-a14b-70f21c217c8d", + "metadata": {}, + "outputs": [], + "source": [ + "# Let's limit our dataset to documents with 60-180 tokens\n", + "\n", + "low_cutoff = 80\n", + "high_cutoff = 240\n", + "subset = [item for item in tqdm(selection) if item.tokens_between(low_cutoff, high_cutoff)]\n", + "subset_count = len(subset)\n", + "count = len(items)\n", + "print(f\"\\nBetween {low_cutoff} and {high_cutoff}, we get {subset_count:,} out of {count:,} which is {subset_count/count*100:.1f}%\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7bc11e4f-5a15-48fd-b571-92e2e10b0323", + "metadata": {}, + "outputs": [], + "source": [ + "# Plot the distribution again to check it looks as expected\n", + "\n", + "token_counts = [item.token_count() for item in subset]\n", + "fig, ax = plt.subplots(1, 1)\n", + "ax.set_xlabel('Number of tokens')\n", + "ax.set_ylabel('Count of items');\n", + "_ = ax.hist(token_counts, rwidth=0.7, color=\"purple\", bins=range(0, 300, 10))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "50d88feb-d0ee-4abf-a013-7d11a7e4e2cd", + "metadata": {}, + "outputs": [], + "source": [ + "# Plot the distribution of prices\n", + "\n", + "prices = [float(item.price) for item in subset]\n", + "fig, ax = plt.subplots(1, 1)\n", + "ax.set_xlabel('Price ($)')\n", + "ax.set_ylabel('Count of items');\n", + "_ = ax.hist(prices, rwidth=0.7, color=\"darkblue\", bins=range(0, 500, 20))\n", + "\n", + "print(f\"Average price is ${sum(prices)/len(prices):.2f} and highest price is ${max(prices):,.2f}\\n\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3718a8e6-6c87-4351-8c27-9e61745b0991", + "metadata": {}, + "outputs": [], + "source": [ + "# Pick the most expensive 52,000 items, then pick 12,000 of the next 20,000\n", + "\n", + "random.seed(42)\n", + "sorted_subset = sorted(subset, key=lambda item: item.price, reverse=True)\n", + "top_30k = sorted_subset[:62000]\n", + "# other_12k = random.sample(sorted_subset[30000:50000], k=12000)\n", + "# sample = top_30k + other_12k\n", + "sample = top_30k\n", + "print(len(sample))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3cd1c4d3-b6e4-4f28-8ad4-709c4637626c", + "metadata": {}, + "outputs": [], + "source": [ + "# Plot the distribution of prices\n", + "\n", + "prices = [float(item.price) for item in sample]\n", + "fig, ax = plt.subplots(1, 1)\n", + "ax.set_xlabel('Price ($)')\n", + "ax.set_ylabel('Count of items');\n", + "_ = ax.hist(prices, rwidth=0.7, color=\"orange\", bins=range(0, 500, 20))\n", + "\n", + "print(f\"Average price is ${sum(prices)/len(prices):.2f} and highest price is ${max(prices):,.2f}\\n\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "38d31aa3-8a3a-4626-9c50-f55635ca6d18", + "metadata": {}, + "outputs": [], + "source": [ + "sizes = [len(item.full_prompt) for item in sample]\n", + "prices = [item.price for item in sample]\n", + "\n", + "# Create the scatter plot\n", + "plt.figure(figsize=(10, 6))\n", + "plt.scatter(sizes, prices, s=2, color=\"red\")\n", + "\n", + "# Add labels and title\n", + "plt.xlabel('Size')\n", + "plt.ylabel('Price')\n", + "plt.title('Is there a simple correlation?')\n", + "\n", + "# Display the plot\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f8cfa1af-aadd-416b-b0f9-2bb5fd4d2263", + "metadata": {}, + "outputs": [], + "source": [ + "# Plot the distribution again to check it looks as expected\n", + "\n", + "token_counts = [item.token_count() for item in sample]\n", + "fig, ax = plt.subplots(1, 1)\n", + "ax.set_xlabel('Number of tokens')\n", + "ax.set_ylabel('Count of items');\n", + "_ = ax.hist(token_counts, rwidth=0.7, color=\"purple\", bins=range(0, 300, 10))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "59ef7aef-b6f6-4042-a2af-ddd5ae1c9999", + "metadata": {}, + "outputs": [], + "source": [ + "report(sample[0])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cacb9059-5f44-4601-860a-30860cebe9c2", + "metadata": {}, + "outputs": [], + "source": [ + "random.seed(42)\n", + "random.shuffle(sample)\n", + "train = sample[:60000]\n", + "test = sample[60000:]\n", + "print(f\"Divided into a training set of {len(train):,} items and test set of {len(test):,} items\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "dd7c5db1-4510-4768-bef1-bdac2a7b392f", + "metadata": {}, + "outputs": [], + "source": [ + "average = sum(t.price for t in train)/len(train)\n", + "average" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "95353e68-07ac-4f57-8d57-dd48cacb0e04", + "metadata": {}, + "outputs": [], + "source": [ + "class TestRunner:\n", + "\n", + " def __init__(self, predictor, data, title, size=None):\n", + " self.predictor = predictor\n", + " self.data = data\n", + " self.size = size or len(data)\n", + " self.guesses = []\n", + " self.truths = []\n", + " self.errors = []\n", + " self.title = title\n", + "\n", + " def run_datapoint(self, i):\n", + " datapoint = self.data[i]\n", + " guess = self.predictor(datapoint)\n", + " truth = datapoint.price\n", + " error = abs(guess - truth)\n", + " color = RED if error>=20 else YELLOW if error>=10 else GREEN\n", + " title = datapoint.title if len(datapoint.title) <= 40 else datapoint.title[:40]+\"...\"\n", + " self.guesses.append(guess)\n", + " self.truths.append(truth)\n", + " self.errors.append(error)\n", + " print(f\"{color}{i+1}: Guess: ${guess:,.2f} Truth: ${truth:,.2f} Error: ${error:,.2f} Item: {title}{RESET}\")\n", + "\n", + " def chart(self):\n", + " max_error = max(self.errors)\n", + " colors = [(max_error - error)**3 for error in self.errors]\n", + " plt.figure(figsize=(10, 6))\n", + " plt.scatter(self.truths, self.guesses, s=3, c=colors, cmap='RdYlGn')\n", + " plt.xlabel('Truth')\n", + " plt.ylabel('Guess')\n", + " plt.title(self.title)\n", + " plt.show()\n", + "\n", + " def run(self):\n", + " self.error = 0\n", + " for i in range(self.size):\n", + " self.run_datapoint(i)\n", + " average_error = sum(self.errors) / self.size\n", + " print(f\"Average Error = ${average_error:,.2f}\")\n", + " hits = [e for e in self.errors if e<10]\n", + " print(f\"Hit rate = {len(hits)/self.size*100:.1f}%\")\n", + " self.chart()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e3a8519f-c139-4c72-8d9c-39ccedda2f7b", + "metadata": {}, + "outputs": [], + "source": [ + "train_average = sum(t.price for t in train)/len(train)\n", + "\n", + "def flat_predictor(item):\n", + " return train_average" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "739d2e33-55d4-4892-b42c-771131159c8d", + "metadata": {}, + "outputs": [], + "source": [ + "TestRunner(flat_predictor, test, \"Flat Predictor Accuracy\", 100).run()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d6a6c4a5-e817-46b8-99d2-9c4ecf9c8685", + "metadata": {}, + "outputs": [], + "source": [ + "stop = set(['the', 'and', 'for', 'is', 'to', 'this', 'with', 'a', 'of', 'your', 'are', 'in','from', 'you', 'or', 'an'])\n", + "\n", + "def words(item):\n", + " text = f\"{item.title} {item.description} {item.features}\"\n", + " text = re.sub(r'[()\\[\\]{},\\'\"-]', ' ', text)\n", + " text = re.sub(r'\\s+', ' ', text)\n", + " words = text.strip().lower().split(' ')\n", + " filtered = [word for word in words if word not in stop]\n", + " return \" \".join(filtered)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "262fc576-7606-426c-8aea-5799b3952d2c", + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.feature_extraction.text import CountVectorizer\n", + "from sklearn.linear_model import LinearRegression\n", + "import numpy as np\n", + "\n", + "np.random.seed(42)\n", + "\n", + "documents = [words(item) for item in train]\n", + "labels = np.array([float(item.price) for item in train])\n", + "\n", + "vectorizer = CountVectorizer()\n", + "X = vectorizer.fit_transform(documents)\n", + "\n", + "regressor = LinearRegression()\n", + "regressor.fit(X, labels)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bd782b21-8e44-409d-a7b6-f136974958b4", + "metadata": {}, + "outputs": [], + "source": [ + "def linear_regression_predictor(item):\n", + " np.random.seed(42)\n", + " x = vectorizer.transform([words(item)])\n", + " return max(regressor.predict(x)[0], 0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "80e77aae-0071-42e9-8e24-d3aec5256015", + "metadata": {}, + "outputs": [], + "source": [ + "TestRunner(linear_regression_predictor, test, \"Linear Accuracy\", 200).run()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a70d16ce-bdf1-4071-8c5a-5bddc2aa37e4", + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.feature_extraction.text import TfidfVectorizer\n", + "from sklearn.svm import SVR\n", + "\n", + "np.random.seed(42)\n", + "\n", + "documents = [words(item) for item in train]\n", + "labels = np.array([float(item.price) for item in train])\n", + "\n", + "vectorizer = TfidfVectorizer()\n", + "X = vectorizer.fit_transform(documents)\n", + "\n", + "regressor = SVR(kernel='linear')\n", + "regressor.fit(X, labels)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "64560112-3bfb-45cc-b489-de619a2eca20", + "metadata": {}, + "outputs": [], + "source": [ + "def svr_predictor(item):\n", + " np.random.seed(42)\n", + " x = vectorizer.transform([words(item)])\n", + " return max(regressor.predict(x)[0], 0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "392598d4-2deb-4935-9175-fd111616b13c", + "metadata": {}, + "outputs": [], + "source": [ + "TestRunner(svr_predictor, test, \"SVR Accuracy\", 200).run()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "60010699-d26b-4f93-a959-50272ada6a57", + "metadata": {}, + "outputs": [], + "source": [ + "def messages_for(item):\n", + " system_message = \"You estimate product prices. Reply only with the price, no explanation\"\n", + " user_prompt = item.question()\n", + " return [\n", + " {\"role\": \"system\", \"content\": system_message},\n", + " {\"role\": \"user\", \"content\": user_prompt}\n", + " ]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2d5c1a62-9c6e-4c1c-b051-95a78e6e32a7", + "metadata": {}, + "outputs": [], + "source": [ + "def get_price(s):\n", + " s = s.replace('$','').replace(',','')\n", + " match = re.search(r\"[-+]?\\d*\\.\\d+|\\d+\", s)\n", + " return float(match.group()) if match else 0" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9c845d34-1c73-4636-a6ec-cc6666bb39fa", + "metadata": {}, + "outputs": [], + "source": [ + "def gpt_predictor(item):\n", + " response = openai.chat.completions.create(\n", + " model=OPENAI_MODEL,\n", + " messages=messages_for(item),\n", + " seed=42,\n", + " max_tokens=8\n", + " )\n", + " reply = response.choices[0].message.content\n", + " return get_price(reply)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1b3eb3ef-90a8-4642-b503-c22e72c457f5", + "metadata": {}, + "outputs": [], + "source": [ + "TestRunner(gpt_predictor, test, \"GPT-4o-mini Prediction Accuracy\", 200).run()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f7e24d6b-59a2-464a-95a9-14a9fbfadd4d", + "metadata": {}, + "outputs": [], + "source": [ + "train[0].full_prompt" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "059b6c74-917f-4cb1-b810-ce70735a57be", + "metadata": {}, + "outputs": [], + "source": [ + "train_prompts = [item.full_prompt for item in train]\n", + "train_prices = [item.price for item in train]\n", + "test_prompts = [item.prompt for item in test]\n", + "test_prices = [item.price for item in test]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b8ba48cb-da5e-4ddb-8955-8a94e62ea8e0", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f9ee2e90-79b6-4232-b955-b1c67bc3d600", + "metadata": {}, + "outputs": [], + "source": [ + "# Create a Dataset from the lists\n", + "train_dataset = Dataset.from_dict({\"text\": train_prompts, \"price\": train_prices})\n", + "test_dataset = Dataset.from_dict({\"text\": test_prompts, \"price\": test_prices})\n", + "dataset = DatasetDict({\n", + " \"train\": train_dataset,\n", + " \"test\": test_dataset\n", + "})" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e69e26a5-4b24-4e0f-8944-731c534b285b", + "metadata": {}, + "outputs": [], + "source": [ + "DATASET_NAME = \"ed-donner/electronics-instruct\"\n", + "dataset.push_to_hub(DATASET_NAME, private=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0282b9c5-019b-4e1c-910c-3f86b46b35dd", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/week6_wip/day1-multi.ipynb b/week6_wip/day1-multi.ipynb new file mode 100644 index 0000000..b4381fe --- /dev/null +++ b/week6_wip/day1-multi.ipynb @@ -0,0 +1,942 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "9491dd8f-8124-4a51-be3a-8f678c149dcf", + "metadata": {}, + "outputs": [], + "source": [ + "# imports\n", + "\n", + "import os\n", + "import re\n", + "import math\n", + "import random\n", + "import numpy as np\n", + "from typing import Optional\n", + "from dotenv import load_dotenv\n", + "from openai import OpenAI\n", + "import anthropic\n", + "from huggingface_hub import login\n", + "from tqdm import tqdm\n", + "import matplotlib.pyplot as plt\n", + "from datasets import load_dataset, Dataset, DatasetDict\n", + "from transformers import AutoTokenizer" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9cd394a2-d8e6-4e8f-a120-50c0ee12620d", + "metadata": {}, + "outputs": [], + "source": [ + "# environment\n", + "\n", + "load_dotenv()\n", + "os.environ['OPENAI_API_KEY'] = os.getenv('OPENAI_API_KEY', 'your-key-if-not-using-env')\n", + "os.environ['ANTHROPIC_API_KEY'] = os.getenv('ANTHROPIC_API_KEY', 'your-key-if-not-using-env')\n", + "os.environ['HF_TOKEN'] = os.getenv('HF_TOKEN', 'your-key-if-not-using-env')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "535addd2-9590-42dd-81d8-9dbe06e0194a", + "metadata": {}, + "outputs": [], + "source": [ + "# constants\n", + "\n", + "MIN_TOKENS = 80\n", + "MAX_TOKENS = 180\n", + "CUTOFF_CHARS = MAX_TOKENS * 7" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "846ded5d-b7f5-4581-8f56-d9650ff329c1", + "metadata": {}, + "outputs": [], + "source": [ + "# initialize\n", + "\n", + "openai = OpenAI()\n", + "claude = anthropic.Anthropic()\n", + "OPENAI_MODEL = \"gpt-4o-mini\"\n", + "CLAUDE_MODEL = \"claude-3-5-sonnet-20240620\"\n", + "hf_token = os.environ['HF_TOKEN']\n", + "login(hf_token, add_to_git_credential=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e81b23f7-8aa3-4590-ae5c-2d1bebd2f7c9", + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8a45e4f9-4fcf-4f72-8db2-54cbb1889901", + "metadata": {}, + "outputs": [], + "source": [ + "# Constants\n", + "\n", + "BASE_MODEL = \"meta-llama/Meta-Llama-3.1-8B-Instruct\"\n", + "\n", + "# Used for writing to output in color\n", + "\n", + "GREEN = \"\\033[92m\"\n", + "YELLOW = \"\\033[93m\"\n", + "RED = \"\\033[91m\"\n", + "RESET = \"\\033[0m\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fb2ed609-a00a-4ff8-9f4d-8f2ff8ea26dd", + "metadata": {}, + "outputs": [], + "source": [ + "datasets = [\"Electronics\", \"Appliances\", \"Cell_Phones_and_Accessories\", \"Home_and_Kitchen\", \"Tools_and_Home_Improvement\"]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "51af18a2-4122-4753-8f5d-622da2976cb5", + "metadata": {}, + "outputs": [], + "source": [ + "dataset = load_dataset(\"McAuley-Lab/Amazon-Reviews-2023\", \"raw_meta_Electronics\", split=\"full\", trust_remote_code=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "141ddcdd-bd60-44d4-8c63-1c6717f5bafc", + "metadata": {}, + "outputs": [], + "source": [ + "print(f\"There are {len(dataset):,} items in the dataset\")\n", + "print(\"Here is the first:\")\n", + "item = dataset[0]\n", + "print(item['title'])\n", + "print(item['description'])\n", + "print(item['features'])\n", + "print(item['price'])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f36c948d-e14d-44a0-9704-c11c589a26ee", + "metadata": {}, + "outputs": [], + "source": [ + "class Item:\n", + " \n", + " tokenizer = AutoTokenizer.from_pretrained(BASE_MODEL, trust_remote_code=True)\n", + " PREFIX = \"Price is $\"\n", + "\n", + " title: str\n", + " price: float\n", + " token_count: int = 0\n", + " details: Optional[str]\n", + " prompt: Optional[str]\n", + "\n", + " def __init__(self, data, price):\n", + " self.title = data['title']\n", + " self.price = price\n", + " self.create_details(data)\n", + " \n", + " def create_details(self, data):\n", + " self.details = '\\n'.join(data['description'])\n", + " features = '\\n'.join(data['features'])\n", + " if features:\n", + " self.details += '\\n' + features\n", + " self.details = re.sub(r'[\\[\\]【】\\s]+', ' ', self.details).strip()\n", + " self.make_prompt()\n", + "\n", + " def question(self):\n", + " prompt = \"How much does this cost?\\n\"\n", + " prompt += f\"Title: {self.title}\\n\"\n", + " prompt += f\"Details: {self.details}\\n\"\n", + " return prompt\n", + "\n", + " def messages(self):\n", + " return [\n", + " {\"role\":\"system\", \"content\": \"You estimate product prices. Reply only with the price to the nearest dollar\"},\n", + " {\"role\":\"user\", \"content\": self.question()},\n", + " {\"role\":\"assistant\", \"content\": f\"{self.PREFIX}{str(round(self.price))}.00\"}\n", + " ]\n", + "\n", + " def make_prompt(self):\n", + " prompt = self.tokenizer.apply_chat_template(self.messages(), tokenize=False, add_generation_prompt=False)\n", + " groups = prompt.split('\\n\\n')\n", + " self.prompt = groups[0]+'\\n\\n'+'\\n\\n'.join(groups[2:])\n", + "\n", + " def count_tokens(self):\n", + " self.token_count = len(self.tokenizer.encode(self.prompt))\n", + "\n", + " def tokens_between(self, low, high):\n", + " return self.token_count >= low and self.token_count < high\n", + "\n", + " def test_prompt(self):\n", + " return self.prompt.split(self.PREFIX)[0] + self.PREFIX" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "20d97009-6b35-4fdf-baae-59dbd1bf6f77", + "metadata": {}, + "outputs": [], + "source": [ + "def read_dataset(name):\n", + " print(f\"Loading dataset {name}\")\n", + " dataset = load_dataset(\"McAuley-Lab/Amazon-Reviews-2023\", f\"raw_meta_{name}\", split=\"full\", trust_remote_code=True)\n", + " results = []\n", + " for data in tqdm(dataset):\n", + " try:\n", + " price_str = data['price']\n", + " if price_str:\n", + " price = float(price_str)\n", + " if price > 0:\n", + " results.append(Item(data, price))\n", + " except ValueError:\n", + " pass\n", + " print(f\"Completed loading {name} with {len(results):,} datapoints\")\n", + " return results" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "dd11853b-9e21-4b14-9a08-9d9f63636e1a", + "metadata": {}, + "outputs": [], + "source": [ + "items = []\n", + "for dataset in datasets:\n", + " items.extend(read_dataset(dataset))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "011bffcf-03f8-4f0d-8999-b53d1ac88624", + "metadata": {}, + "outputs": [], + "source": [ + "# Let's investigate:\n", + "\n", + "print(f\"There are {len(items):,} items with prices\\n\")\n", + "print(items[0].prompt)\n", + "print(items[1].prompt)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fcf74830-1e97-4543-b454-eefd314fc106", + "metadata": {}, + "outputs": [], + "source": [ + "# Plot the distribution of character count\n", + "\n", + "lengths = [len(item.prompt) for item in items]\n", + "fig, ax = plt.subplots(1, 1)\n", + "ax.set_xlabel('Length')\n", + "ax.set_ylabel('Count of items');\n", + "_ = ax.hist(lengths, rwidth=0.7, color=\"lightblue\", bins=range(0, 5000, 250))\n", + "\n", + "print(f\"Average length is {sum(lengths)/len(lengths):,.1f} and highest length is {max(lengths):,}\\n\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "af1d6c8b-f2ae-4691-9306-989b1bd45233", + "metadata": {}, + "outputs": [], + "source": [ + "print(f\"There are total {len(items):,} items\")\n", + "selection = [item for item in items if len(item.prompt) < CUTOFF_CHARS]\n", + "print(f\"There are total {len(selection):,} with under {CUTOFF_CHARS:,} character training prompt\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "42231dc7-66fb-4437-ba08-7689514a8b19", + "metadata": {}, + "outputs": [], + "source": [ + "# Calculate token sizes in selection\n", + "\n", + "for item in tqdm(selection):\n", + " item.count_tokens()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d5dde349-610a-4e96-a2ea-9178a9c1fa2a", + "metadata": {}, + "outputs": [], + "source": [ + "# Plot the distribution of tokens\n", + "\n", + "token_counts = [item.token_count for item in tqdm(selection)]\n", + "fig, ax = plt.subplots(1, 1)\n", + "ax.set_xlabel('Number of tokens')\n", + "ax.set_ylabel('Count of items');\n", + "_ = ax.hist(token_counts, rwidth=0.7, color=\"orange\", bins=range(0, 500, 25))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "da0a20b4-8926-4eff-bf83-11c4f6b40455", + "metadata": {}, + "outputs": [], + "source": [ + "def report(item):\n", + " prompt = item.prompt\n", + " tokens = Item.tokenizer.encode(item.prompt)\n", + " print(prompt)\n", + " print(tokens[-10:])\n", + " print(Item.tokenizer.batch_decode(tokens[-10:]))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2378cb92-305a-49d0-8193-4ae09a0cccf8", + "metadata": {}, + "outputs": [], + "source": [ + "report(items[0])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1232004a-ff9b-486a-a14b-70f21c217c8d", + "metadata": {}, + "outputs": [], + "source": [ + "# Let's limit our dataset to documents with 60-180 tokens\n", + "\n", + "subset = [item for item in tqdm(selection) if item.tokens_between(MIN_TOKENS, MAX_TOKENS)]\n", + "subset_count = len(subset)\n", + "count = len(items)\n", + "print(f\"\\nBetween {MIN_TOKENS} and {MAX_TOKENS}, we get {subset_count:,} out of {count:,} which is {subset_count/count*100:.1f}%\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7bc11e4f-5a15-48fd-b571-92e2e10b0323", + "metadata": {}, + "outputs": [], + "source": [ + "# Plot the distribution again to check it looks as expected\n", + "\n", + "token_counts = [item.token_count for item in subset]\n", + "fig, ax = plt.subplots(1, 1)\n", + "ax.set_xlabel('Number of tokens')\n", + "ax.set_ylabel('Count of items');\n", + "_ = ax.hist(token_counts, rwidth=0.7, color=\"purple\", bins=range(0, 300, 10))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "50d88feb-d0ee-4abf-a013-7d11a7e4e2cd", + "metadata": {}, + "outputs": [], + "source": [ + "# Plot the distribution of prices\n", + "\n", + "prices = [float(item.price) for item in subset]\n", + "fig, ax = plt.subplots(1, 1)\n", + "ax.set_xlabel('Price ($)')\n", + "ax.set_ylabel('Count of items');\n", + "_ = ax.hist(prices, rwidth=0.7, color=\"darkblue\", bins=range(0, 500, 20))\n", + "\n", + "print(f\"Average price is ${sum(prices)/len(prices):.2f} and highest price is ${max(prices):,.2f}\\n\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3718a8e6-6c87-4351-8c27-9e61745b0991", + "metadata": {}, + "outputs": [], + "source": [ + "# Pick the most expensive 52,000 items, then pick 12,000 of the next 20,000\n", + "\n", + "# random.seed(42)\n", + "# subset2 = [item for item in subset if item.price <= 999]\n", + "# sorted_subset2 = sorted(subset2, key=lambda item: item.price, reverse=True)\n", + "# sample = sorted_subset2[:90_000]\n", + "# other_12k = random.sample(sorted_subset2[90_000:130_000], k=15000)\n", + "# sample += other_12k\n", + "# print(f\"Created a sample of {len(sample):,} with prices ranging from ${sample[-1].price} to ${sample[0].price}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f50917db-ab22-4ecd-a7f1-a2cd45ceb7e6", + "metadata": {}, + "outputs": [], + "source": [ + "random.seed(42)\n", + "subset = [item for item in subset if item.price <= 999]\n", + "sorted_subset = sorted(subset, key=lambda item: item.price, reverse=True)\n", + "sample = sorted_subset[:150_000]\n", + "sample += random.sample(sorted_subset[150_000:300_000], k=50000)\n", + "sample += random.sample(sorted_subset[300_000:], k=5000)\n", + "print(f\"Created a sample of {len(sample):,} with prices ranging from ${sample[-1].price} to ${sample[0].price}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3cd1c4d3-b6e4-4f28-8ad4-709c4637626c", + "metadata": {}, + "outputs": [], + "source": [ + "# Plot the distribution of prices\n", + "\n", + "plt.figure(figsize=(10, 6))\n", + "prices = [float(item.price) for item in sample]\n", + "plt.hist(prices, rwidth=0.7, color=\"orange\", bins=range(0, 1000, 20))\n", + "\n", + "plt.title(f\"Avg price ${sum(prices)/len(prices):.2f}\")\n", + "plt.xlabel('Price ($)')\n", + "plt.ylabel('Count of items')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "38d31aa3-8a3a-4626-9c50-f55635ca6d18", + "metadata": {}, + "outputs": [], + "source": [ + "sizes = [len(item.prompt) for item in sample]\n", + "prices = [item.price for item in sample]\n", + "\n", + "# Create the scatter plot\n", + "plt.figure(figsize=(10, 6))\n", + "plt.scatter(sizes, prices, s=1, color=\"red\")\n", + "\n", + "# Add labels and title\n", + "plt.xlabel('Size')\n", + "plt.ylabel('Price')\n", + "plt.title('Is there a simple correlation?')\n", + "\n", + "# Display the plot\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f8cfa1af-aadd-416b-b0f9-2bb5fd4d2263", + "metadata": {}, + "outputs": [], + "source": [ + "# Plot the distribution again to check it looks as expected\n", + "\n", + "token_counts = [item.token_count for item in sample]\n", + "fig, ax = plt.subplots(1, 1)\n", + "ax.set_xlabel('Number of tokens')\n", + "ax.set_ylabel('Count of items');\n", + "_ = ax.hist(token_counts, rwidth=0.7, color=\"purple\", bins=range(0, 300, 10))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "59ef7aef-b6f6-4042-a2af-ddd5ae1c9999", + "metadata": {}, + "outputs": [], + "source": [ + "report(sample[-1])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cacb9059-5f44-4601-860a-30860cebe9c2", + "metadata": {}, + "outputs": [], + "source": [ + "random.seed(42)\n", + "random.shuffle(sample)\n", + "train = sample[:200_000]\n", + "test = sample[200_000:]\n", + "print(f\"Divided into a training set of {len(train):,} items and test set of {len(test):,} items\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bf435bcd-accf-427c-82d5-02b33a56737c", + "metadata": {}, + "outputs": [], + "source": [ + "del items, subset, sorted_subset, selection" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6b26000a-e5a9-4ab7-83fc-8eb44cb12f94", + "metadata": {}, + "outputs": [], + "source": [ + "test[0].title" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3615bfdd-f23e-4005-96d8-7b52a1a439be", + "metadata": {}, + "outputs": [], + "source": [ + "import csv\n", + "with open('test.csv', 'w') as csvfile:\n", + " writer = csv.writer(csvfile)\n", + " for t in test[:200]:\n", + " writer.writerow([t.title, t.details, 0])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cb6907e9-37d7-4283-b1a9-8124f9f3439b", + "metadata": {}, + "outputs": [], + "source": [ + "human_predictions = []\n", + "with open('human.csv', 'r') as csvfile:\n", + " reader = csv.reader(csvfile)\n", + " for row in reader:\n", + " human_predictions.append(float(row[2]))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "dd7c5db1-4510-4768-bef1-bdac2a7b392f", + "metadata": {}, + "outputs": [], + "source": [ + "average = sum(t.price for t in train)/len(train)\n", + "average" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "95353e68-07ac-4f57-8d57-dd48cacb0e04", + "metadata": {}, + "outputs": [], + "source": [ + "class TestRunner:\n", + "\n", + " def __init__(self, predictor, data, title, size=200):\n", + " self.predictor = predictor\n", + " self.data = data\n", + " self.title = title\n", + " self.size = size\n", + " self.guesses = []\n", + " self.truths = []\n", + " self.errors = []\n", + " self.sles = []\n", + " self.colors = []\n", + "\n", + " def run_datapoint(self, i):\n", + " datapoint = self.data[i]\n", + " guess = self.predictor(datapoint)\n", + " truth = datapoint.price\n", + " error = abs(guess - truth)\n", + " log_error = math.log(truth+1) - math.log(guess+1)\n", + " sle = log_error ** 2\n", + " color = RED if error>=20 else YELLOW if error>=10 else GREEN\n", + " color_str = \"red\" if error>=20 else \"yellow\" if error>=10 else \"green\"\n", + " title = datapoint.title if len(datapoint.title) <= 40 else datapoint.title[:40]+\"...\"\n", + " self.guesses.append(guess)\n", + " self.truths.append(truth)\n", + " self.errors.append(error)\n", + " self.sles.append(sle)\n", + " self.colors.append(color_str)\n", + " print(f\"{color}{i+1}: Guess: ${guess:,.2f} Truth: ${truth:,.2f} Error: ${error:,.2f} SLE: {sle:,.2f} Item: {title}{RESET}\")\n", + "\n", + " def chart(self, title):\n", + " max_error = max(self.errors)\n", + " plt.figure(figsize=(12, 8))\n", + " plt.scatter(self.truths, self.guesses, s=3, c=self.colors)\n", + " plt.xlabel('Ground Truth')\n", + " plt.ylabel('Model Estimate')\n", + " plt.title(title)\n", + " plt.show()\n", + "\n", + " def report(self):\n", + " average_error = sum(self.errors) / self.size\n", + " rmsle = math.sqrt(sum(self.sles) / self.size)\n", + " hits = [e for e in self.errors if e<10]\n", + " title = f\"{self.title} Error=${average_error:,.2f} RMSLE={rmsle:,.2f} Hits={len(hits)/self.size*100:.1f}%\"\n", + " self.chart(title)\n", + "\n", + " def run(self):\n", + " self.error = 0\n", + " for i in range(self.size):\n", + " self.run_datapoint(i)\n", + " self.report()\n", + " return self" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e3a8519f-c139-4c72-8d9c-39ccedda2f7b", + "metadata": {}, + "outputs": [], + "source": [ + "train_average = sum(t.price for t in train)/len(train)\n", + "\n", + "def flat_predictor(item):\n", + " return train_average" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "739d2e33-55d4-4892-b42c-771131159c8d", + "metadata": {}, + "outputs": [], + "source": [ + "runner = TestRunner(flat_predictor, test, \"Flat Predictor\").run()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9d3a5d83-d90b-40af-979f-85aa21816578", + "metadata": {}, + "outputs": [], + "source": [ + "human_predictions = []\n", + "with open('human.csv', 'r') as csvfile:\n", + " reader = csv.reader(csvfile)\n", + " for row in reader:\n", + " human_predictions.append(float(row[2]))\n", + "\n", + "def human_predictor(item):\n", + " index = test.index(item)\n", + " if index==-1:\n", + " raise ValueError(\"Index not found\")\n", + " return human_predictions[index]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6c87c385-d6b7-4a4f-89eb-f4e250337d03", + "metadata": {}, + "outputs": [], + "source": [ + "runner = TestRunner(human_predictor, test, \"Human Predictor\").run()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d6a6c4a5-e817-46b8-99d2-9c4ecf9c8685", + "metadata": {}, + "outputs": [], + "source": [ + "stop = set(['the', 'and', 'for', 'is', 'to', 'this', 'with', 'a', 'of', 'your', 'are', 'in','from', 'you', 'or', 'an', 'on', 'by'])\n", + "\n", + "def words(item):\n", + " text = f\"{item.title} {item.details}\"\n", + " text = re.sub(r'[\\(\\)\\[\\]\\{\\},\\'\"\\- \\s]+', ' ', text)\n", + " words = text.strip().lower().split(' ')\n", + " filtered = [word for word in words if word not in stop]\n", + " return \" \".join(filtered)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "56682e9c-46c9-48f2-baea-e943804290f6", + "metadata": {}, + "outputs": [], + "source": [ + "documents = [words(item) for item in train]\n", + "from collections import Counter\n", + "count = Counter()\n", + "for doc in documents:\n", + " ws = doc.split(\" \")\n", + " for w in ws:\n", + " count[w]+=1\n", + "count.most_common(30)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "262fc576-7606-426c-8aea-5799b3952d2c", + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.feature_extraction.text import CountVectorizer\n", + "from sklearn.linear_model import LinearRegression\n", + "import numpy as np\n", + "\n", + "np.random.seed(42)\n", + "\n", + "labels = np.array([float(item.price) for item in train])\n", + "\n", + "vectorizer = CountVectorizer()\n", + "X = vectorizer.fit_transform(documents)\n", + "\n", + "regressor = LinearRegression()\n", + "regressor.fit(X, labels)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bd782b21-8e44-409d-a7b6-f136974958b4", + "metadata": {}, + "outputs": [], + "source": [ + "def linear_regression_predictor(item):\n", + " np.random.seed(42)\n", + " x = vectorizer.transform([words(item)])\n", + " return max(regressor.predict(x)[0], 0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "80e77aae-0071-42e9-8e24-d3aec5256015", + "metadata": {}, + "outputs": [], + "source": [ + "TestRunner(linear_regression_predictor, test, \"Linear Regression\", 200).run()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a70d16ce-bdf1-4071-8c5a-5bddc2aa37e4", + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.feature_extraction.text import TfidfVectorizer\n", + "from sklearn.svm import SVR\n", + "\n", + "np.random.seed(42)\n", + "\n", + "documents = [words(item) for item in train]\n", + "labels = np.array([float(item.price) for item in train])\n", + "\n", + "vectorizer = TfidfVectorizer()\n", + "X = vectorizer.fit_transform(documents)\n", + "\n", + "regressor = SVR(kernel='linear')\n", + "regressor.fit(X, labels)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "64560112-3bfb-45cc-b489-de619a2eca20", + "metadata": {}, + "outputs": [], + "source": [ + "def svr_predictor(item):\n", + " np.random.seed(42)\n", + " x = vectorizer.transform([words(item)])\n", + " return max(regressor.predict(x)[0], 0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "392598d4-2deb-4935-9175-fd111616b13c", + "metadata": {}, + "outputs": [], + "source": [ + "TestRunner(svr_predictor, test, \"SVR Accuracy\", 200).run()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "60010699-d26b-4f93-a959-50272ada6a57", + "metadata": {}, + "outputs": [], + "source": [ + "def messages_for(item):\n", + " system_message = \"You estimate product prices. Reply only with the price, no explanation\"\n", + " user_prompt = item.question()\n", + " return [\n", + " {\"role\": \"system\", \"content\": system_message},\n", + " {\"role\": \"user\", \"content\": user_prompt}\n", + " ]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2d5c1a62-9c6e-4c1c-b051-95a78e6e32a7", + "metadata": {}, + "outputs": [], + "source": [ + "def get_price(s):\n", + " s = s.replace('$','').replace(',','')\n", + " match = re.search(r\"[-+]?\\d*\\.\\d+|\\d+\", s)\n", + " return float(match.group()) if match else 0" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9c845d34-1c73-4636-a6ec-cc6666bb39fa", + "metadata": {}, + "outputs": [], + "source": [ + "def gpt_predictor(item):\n", + " response = openai.chat.completions.create(\n", + " model=OPENAI_MODEL,\n", + " messages=messages_for(item),\n", + " seed=42,\n", + " max_tokens=8\n", + " )\n", + " reply = response.choices[0].message.content\n", + " return get_price(reply)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1b3eb3ef-90a8-4642-b503-c22e72c457f5", + "metadata": {}, + "outputs": [], + "source": [ + "runner = TestRunner(gpt_predictor, test, \"GPT-4o Prediction Accuracy\", 200).run()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f7e24d6b-59a2-464a-95a9-14a9fbfadd4d", + "metadata": {}, + "outputs": [], + "source": [ + "report(train[1])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "059b6c74-917f-4cb1-b810-ce70735a57be", + "metadata": {}, + "outputs": [], + "source": [ + "train_prompts = [item.prompt for item in train]\n", + "train_prices = [item.price for item in train]\n", + "test_prompts = [item.test_prompt() for item in test]\n", + "test_prices = [item.price for item in test]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b8ba48cb-da5e-4ddb-8955-8a94e62ea8e0", + "metadata": {}, + "outputs": [], + "source": [ + "test_prompts[1]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f9ee2e90-79b6-4232-b955-b1c67bc3d600", + "metadata": {}, + "outputs": [], + "source": [ + "# Create a Dataset from the lists\n", + "train_dataset = Dataset.from_dict({\"text\": train_prompts, \"price\": train_prices})\n", + "test_dataset = Dataset.from_dict({\"text\": test_prompts, \"price\": test_prices})\n", + "dataset = DatasetDict({\n", + " \"train\": train_dataset,\n", + " \"test\": test_dataset\n", + "})" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e69e26a5-4b24-4e0f-8944-731c534b285b", + "metadata": {}, + "outputs": [], + "source": [ + "DATASET_NAME = \"ed-donner/multi-instruct\"\n", + "dataset.push_to_hub(DATASET_NAME, private=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0282b9c5-019b-4e1c-910c-3f86b46b35dd", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/week6_wip/day1-pricer-qwen.ipynb b/week6_wip/day1-pricer-qwen.ipynb new file mode 100644 index 0000000..7f9bc6f --- /dev/null +++ b/week6_wip/day1-pricer-qwen.ipynb @@ -0,0 +1,1030 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "9491dd8f-8124-4a51-be3a-8f678c149dcf", + "metadata": {}, + "outputs": [], + "source": [ + "# imports\n", + "\n", + "import os\n", + "import re\n", + "import math\n", + "import random\n", + "from datetime import datetime\n", + "import numpy as np\n", + "from typing import Optional\n", + "from dotenv import load_dotenv\n", + "from openai import OpenAI\n", + "import anthropic\n", + "from huggingface_hub import login\n", + "from tqdm import tqdm\n", + "import matplotlib.pyplot as plt\n", + "from datasets import load_dataset, Dataset, DatasetDict\n", + "from concurrent.futures import ProcessPoolExecutor\n", + "from transformers import AutoTokenizer\n", + "from items_qwen import Item, read_dataset\n", + "import pickle" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9cd394a2-d8e6-4e8f-a120-50c0ee12620d", + "metadata": {}, + "outputs": [], + "source": [ + "# environment\n", + "\n", + "load_dotenv()\n", + "os.environ['OPENAI_API_KEY'] = os.getenv('OPENAI_API_KEY', 'your-key-if-not-using-env')\n", + "os.environ['ANTHROPIC_API_KEY'] = os.getenv('ANTHROPIC_API_KEY', 'your-key-if-not-using-env')\n", + "os.environ['HF_TOKEN'] = os.getenv('HF_TOKEN', 'your-key-if-not-using-env')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "846ded5d-b7f5-4581-8f56-d9650ff329c1", + "metadata": {}, + "outputs": [], + "source": [ + "# initialize\n", + "\n", + "openai = OpenAI()\n", + "claude = anthropic.Anthropic()\n", + "OPENAI_MODEL = \"gpt-4o-mini\"\n", + "CLAUDE_MODEL = \"claude-3-5-sonnet-20240620\"\n", + "hf_token = os.environ['HF_TOKEN']\n", + "login(hf_token, add_to_git_credential=True)\n", + "PHI3 = \"microsoft/Phi-3-medium-4k-instruct\"\n", + "GEMMA = \"google/gemma-2-9b-it\"\n", + "QWEN = \"Qwen/Qwen2-7B\"\n", + "LLAMA = \"meta-llama/Meta-Llama-3.1-8B\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e81b23f7-8aa3-4590-ae5c-2d1bebd2f7c9", + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "028e21ff-4f57-42c3-81de-cb0e83eb0d25", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8a45e4f9-4fcf-4f72-8db2-54cbb1889901", + "metadata": {}, + "outputs": [], + "source": [ + "# Constants\n", + "\n", + "BASE_MODEL = GEMMA\n", + "\n", + "# Used for writing to output in color\n", + "\n", + "GREEN = \"\\033[92m\"\n", + "YELLOW = \"\\033[93m\"\n", + "RED = \"\\033[91m\"\n", + "RESET = \"\\033[0m\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3135d11e-1ab5-4cf9-a15f-bdcec7cba5cb", + "metadata": {}, + "outputs": [], + "source": [ + "tokenizer = AutoTokenizer.from_pretrained(BASE_MODEL, trust_remote_code=True)\n", + "\n", + "for i in range(1,1000):\n", + " text = str(i)\n", + " tok = tokenizer.encode(text, add_special_tokens=False)\n", + " print(f\"{text}={tok}\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fb2ed609-a00a-4ff8-9f4d-8f2ff8ea26dd", + "metadata": {}, + "outputs": [], + "source": [ + "dataset_names = [\n", + " \"Automotive\",\n", + " \"Electronics\",\n", + " \"Office_Products\",\n", + " \"Tools_and_Home_Improvement\",\n", + " \"Cell_Phones_and_Accessories\",\n", + " \"Toys_and_Games\",\n", + " \"Appliances\",\n", + " \"Musical_Instruments\",\n", + "]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "29bc061b-1e8d-4df6-ad49-c6148f527d49", + "metadata": {}, + "outputs": [], + "source": [ + "# start = datetime.now()\n", + "# items = read_dataset(\"Appliances\")\n", + "# finish = datetime.now()\n", + "# print(f\"Completed in {(finish-start).total_seconds()/60:.1f} mins\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e80316d4-a84e-4b0d-8f36-988fe1bd2e2e", + "metadata": {}, + "outputs": [], + "source": [ + "# print(items[10000].prompt)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "dd11853b-9e21-4b14-9a08-9d9f63636e1a", + "metadata": {}, + "outputs": [], + "source": [ + "start = datetime.now()\n", + "items = []\n", + "with ProcessPoolExecutor(max_workers=6) as pool:\n", + " for results in pool.map(read_dataset, dataset_names):\n", + " items.extend(results)\n", + "finish = datetime.now()\n", + "print(f\"Completed in {(finish-start).total_seconds()/60:.1f} mins\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7af95a63-2116-4b62-9d99-1808721410c6", + "metadata": {}, + "outputs": [], + "source": [ + "len(items)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3d7ab348-3708-4357-b96f-65839f897223", + "metadata": {}, + "outputs": [], + "source": [ + "max(item.token_count for item in items)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "91171f6b-4624-401a-9af5-9c9a1ce434c0", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b01322eb-d84d-46de-a12b-c2b027bac66d", + "metadata": {}, + "outputs": [], + "source": [ + "with open('items2.pkl', 'wb') as file:\n", + " pickle.dump(items, file)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cecfb43d-3692-475d-b80d-512e6b9b55c2", + "metadata": {}, + "outputs": [], + "source": [ + "with open('items2.pkl', 'rb') as file:\n", + " items = pickle.load(file)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d9949f7f-81d6-45d9-8f8f-d3690a8ffa85", + "metadata": {}, + "outputs": [], + "source": [ + "len(items)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "011bffcf-03f8-4f0d-8999-b53d1ac88624", + "metadata": {}, + "outputs": [], + "source": [ + "# Let's investigate:\n", + "\n", + "print(f\"There are {len(items):,} items with prices\\n\")\n", + "print(items[2000000].prompt)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fcf74830-1e97-4543-b454-eefd314fc106", + "metadata": {}, + "outputs": [], + "source": [ + "# Plot the distribution of character count\n", + "\n", + "lengths = [len(item.prompt) for item in items]\n", + "fig, ax = plt.subplots(1, 1)\n", + "ax.set_xlabel('Length')\n", + "ax.set_ylabel('Count of items');\n", + "_ = ax.hist(lengths, rwidth=0.7, color=\"lightblue\", bins=range(0, 1000, 50))\n", + "\n", + "print(f\"Average length is {sum(lengths)/len(lengths):,.1f} and highest length is {max(lengths):,}\\n\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d5dde349-610a-4e96-a2ea-9178a9c1fa2a", + "metadata": {}, + "outputs": [], + "source": [ + "# Plot the distribution of tokens\n", + "\n", + "token_counts = [item.token_count for item in items]\n", + "fig, ax = plt.subplots(1, 1)\n", + "ax.set_xlabel('Number of tokens')\n", + "ax.set_ylabel('Count of items');\n", + "_ = ax.hist(token_counts, rwidth=0.7, color=\"orange\", bins=range(0, 200, 10))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "da0a20b4-8926-4eff-bf83-11c4f6b40455", + "metadata": {}, + "outputs": [], + "source": [ + "def report(item):\n", + " prompt = item.prompt\n", + " tokens = Item.tokenizer.encode(item.prompt)\n", + " print(prompt)\n", + " print(tokens[-10:])\n", + " print(Item.tokenizer.batch_decode(tokens[-10:]))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2378cb92-305a-49d0-8193-4ae09a0cccf8", + "metadata": {}, + "outputs": [], + "source": [ + "report(items[1])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "50d88feb-d0ee-4abf-a013-7d11a7e4e2cd", + "metadata": {}, + "outputs": [], + "source": [ + "# Plot the distribution of prices\n", + "\n", + "prices = [float(item.price) for item in items]\n", + "fig, ax = plt.subplots(1, 1)\n", + "ax.set_xlabel('Price ($)')\n", + "ax.set_ylabel('Count of items');\n", + "_ = ax.hist(prices, rwidth=0.7, color=\"darkblue\", bins=range(0, 1000, 20))\n", + "\n", + "print(f\"Average price is ${sum(prices)/len(prices):.2f} and highest price is ${max(prices):,.2f}\\n\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3718a8e6-6c87-4351-8c27-9e61745b0991", + "metadata": {}, + "outputs": [], + "source": [ + "from collections import Counter\n", + "category_counts = Counter()\n", + "for item in items:\n", + " category_counts[item.category]+=1\n", + "\n", + "categories = category_counts.keys()\n", + "counts = [category_counts[category] for category in categories]\n", + "\n", + "# Create bar chart\n", + "plt.figure(figsize=(15, 6))\n", + "plt.bar(categories, counts, color=\"purple\")\n", + "\n", + "# Customize the chart\n", + "plt.title('How many in each category')\n", + "plt.xlabel('Categories')\n", + "plt.ylabel('Count')\n", + "\n", + "plt.xticks(rotation=30, ha='right')\n", + "\n", + "# Add value labels on top of each bar\n", + "for i, v in enumerate(counts):\n", + " plt.text(i, v, f\"{v:,}\", ha='center', va='bottom')\n", + "\n", + "# Display the chart\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e741d816-25d8-4372-9caa-d006b85818be", + "metadata": {}, + "outputs": [], + "source": [ + "from collections import defaultdict\n", + "slots = defaultdict(list)\n", + "for item in items:\n", + " slots[round(item.price)].append(item)\n", + "\n", + "print(f\"\\nMinimum: {min([len(slot) for slot in slots.values()]):,}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "75541d34-37e9-4e59-bac8-87fd1d147d62", + "metadata": {}, + "outputs": [], + "source": [ + "np.random.seed(42)\n", + "random.seed(42)\n", + "sample = []\n", + "for i in range(1, 1000):\n", + " slot = slots[i]\n", + " if i>=240:\n", + " sample.extend(slot)\n", + " elif len(slot) <= 1200:\n", + " sample.extend(slot)\n", + " else:\n", + " weights = np.array([1 if item.category=='Automotive' else 5 for item in slot])\n", + " weights = weights / np.sum(weights)\n", + " selected_indices = np.random.choice(len(slot), size=1200, replace=False, p=weights)\n", + " selected = [slot[i] for i in selected_indices]\n", + " sample.extend(selected)\n", + "len(sample)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6f56ae0c-c802-436d-be42-6439143b177f", + "metadata": {}, + "outputs": [], + "source": [ + "# Plot the distribution of prices\n", + "\n", + "prices = [float(item.price) for item in sample]\n", + "plt.figure(figsize=(15, 6))\n", + "plt.title(f\"Avg {sum(prices)/len(prices):.2f} and highest {max(prices):,.2f}\\n\")\n", + "plt.xlabel('Price ($)')\n", + "plt.ylabel('Count')\n", + "plt.hist(prices, rwidth=0.7, color=\"darkblue\", bins=range(0, 1000, 10))\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a9bdc6d5-3766-4251-81bb-a1bcebe80ce1", + "metadata": {}, + "outputs": [], + "source": [ + "category_counts = Counter()\n", + "for item in sample:\n", + " category_counts[item.category]+=1\n", + "\n", + "categories = category_counts.keys()\n", + "counts = [category_counts[category] for category in categories]\n", + "\n", + "# Create bar chart\n", + "plt.figure(figsize=(15, 6))\n", + "plt.bar(categories, counts, color=\"lightgreen\")\n", + "\n", + "# Customize the chart\n", + "plt.title('How many in each category')\n", + "plt.xlabel('Categories')\n", + "plt.ylabel('Count')\n", + "\n", + "plt.xticks(rotation=30, ha='right')\n", + "\n", + "# Add value labels on top of each bar\n", + "for i, v in enumerate(counts):\n", + " plt.text(i, v, f\"{v:,}\", ha='center', va='bottom')\n", + "\n", + "# Display the chart\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8d692349-6814-4b02-aa20-705279ee5295", + "metadata": {}, + "outputs": [], + "source": [ + "report(sample[400000])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6a28fa68-392a-4d8d-8c72-eeea4615d937", + "metadata": {}, + "outputs": [], + "source": [ + "category_counts = Counter()\n", + "for item in sample:\n", + " category_counts[item.category]+=1\n", + "\n", + "categories = category_counts.keys()\n", + "counts = [category_counts[category] for category in categories]\n", + "\n", + "plt.figure(figsize=(12, 10))\n", + "plt.pie(counts, labels=categories, autopct='%1.0f%%', startangle=90)\n", + "\n", + "# Add a circle at the center to create a donut chart (optional)\n", + "centre_circle = plt.Circle((0,0), 0.70, fc='white')\n", + "fig = plt.gcf()\n", + "fig.gca().add_artist(centre_circle)\n", + "\n", + "# Customize the chart\n", + "plt.title('Categories')\n", + "\n", + "# Equal aspect ratio ensures that pie is drawn as a circle\n", + "plt.axis('equal') \n", + "\n", + "# Display the chart\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "38d31aa3-8a3a-4626-9c50-f55635ca6d18", + "metadata": {}, + "outputs": [], + "source": [ + "sizes = [len(item.prompt) for item in sample]\n", + "prices = [item.price for item in sample]\n", + "\n", + "# Create the scatter plot\n", + "plt.figure(figsize=(15, 8))\n", + "plt.scatter(sizes, prices, s=0.2, color=\"red\")\n", + "\n", + "# Add labels and title\n", + "plt.xlabel('Size')\n", + "plt.ylabel('Price')\n", + "plt.title('Is there a simple correlation?')\n", + "\n", + "# Display the plot\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f8cfa1af-aadd-416b-b0f9-2bb5fd4d2263", + "metadata": {}, + "outputs": [], + "source": [ + "# Plot the distribution again to check it looks as expected\n", + "\n", + "token_counts = [item.token_count for item in sample]\n", + "fig, ax = plt.subplots(1, 1)\n", + "ax.set_xlabel('Number of tokens')\n", + "ax.set_ylabel('Count of items');\n", + "_ = ax.hist(token_counts, rwidth=0.7, color=\"purple\", bins=range(0, 300, 10))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "59ef7aef-b6f6-4042-a2af-ddd5ae1c9999", + "metadata": {}, + "outputs": [], + "source": [ + "report(sample[-2])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cacb9059-5f44-4601-860a-30860cebe9c2", + "metadata": {}, + "outputs": [], + "source": [ + "random.seed(42)\n", + "random.shuffle(sample)\n", + "train = sample[:400_000]\n", + "test = sample[400_000:402_000]\n", + "print(f\"Divided into a training set of {len(train):,} items and test set of {len(test):,} items\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bf435bcd-accf-427c-82d5-02b33a56737c", + "metadata": {}, + "outputs": [], + "source": [ + "# Plot the distribution of prices\n", + "\n", + "prices = [float(item.price) for item in test[:250]]\n", + "plt.figure(figsize=(15, 6))\n", + "plt.title(f\"Avg {sum(prices)/len(prices):.2f} and highest {max(prices):,.2f}\\n\")\n", + "plt.xlabel('Price ($)')\n", + "plt.ylabel('Count')\n", + "plt.hist(prices, rwidth=0.7, color=\"darkblue\", bins=range(0, 1000, 10))\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6b26000a-e5a9-4ab7-83fc-8eb44cb12f94", + "metadata": {}, + "outputs": [], + "source": [ + "# del items, slots\n", + "# import gc\n", + "# gc.collect()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3615bfdd-f23e-4005-96d8-7b52a1a439be", + "metadata": {}, + "outputs": [], + "source": [ + "import csv\n", + "with open('test.csv', 'w') as csvfile:\n", + " writer = csv.writer(csvfile)\n", + " for t in test[:200]:\n", + " writer.writerow([t.title, t.details, 0])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cb6907e9-37d7-4283-b1a9-8124f9f3439b", + "metadata": {}, + "outputs": [], + "source": [ + "human_predictions = []\n", + "with open('human.csv', 'r') as csvfile:\n", + " reader = csv.reader(csvfile)\n", + " for row in reader:\n", + " human_predictions.append(float(row[2]))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "dd7c5db1-4510-4768-bef1-bdac2a7b392f", + "metadata": {}, + "outputs": [], + "source": [ + "average = sum(t.price for t in train)/len(train)\n", + "average" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "95353e68-07ac-4f57-8d57-dd48cacb0e04", + "metadata": {}, + "outputs": [], + "source": [ + "class TestRunner:\n", + "\n", + " def __init__(self, predictor, data, title, size=250):\n", + " self.predictor = predictor\n", + " self.data = data\n", + " self.title = title\n", + " self.size = size\n", + " self.guesses = []\n", + " self.truths = []\n", + " self.errors = []\n", + " self.sles = []\n", + " self.colors = []\n", + "\n", + " def run_datapoint(self, i):\n", + " datapoint = self.data[i]\n", + " guess = self.predictor(datapoint)\n", + " truth = datapoint.price\n", + " error = abs(guess - truth)\n", + " log_error = math.log(truth+1) - math.log(guess+1)\n", + " sle = log_error ** 2\n", + " color = RED if error>=40 else YELLOW if error>=20 else GREEN\n", + " color_str = \"red\" if error>=40 else \"yellow\" if error>=20 else \"green\"\n", + " title = datapoint.title if len(datapoint.title) <= 40 else datapoint.title[:40]+\"...\"\n", + " self.guesses.append(guess)\n", + " self.truths.append(truth)\n", + " self.errors.append(error)\n", + " self.sles.append(sle)\n", + " self.colors.append(color_str)\n", + " print(f\"{color}{i+1}: Guess: ${guess:,.2f} Truth: ${truth:,.2f} Error: ${error:,.2f} SLE: {sle:,.2f} Item: {title}{RESET}\")\n", + "\n", + " def chart(self, title):\n", + " max_error = max(self.errors)\n", + " plt.figure(figsize=(12, 8))\n", + " plt.scatter(self.truths, self.guesses, s=3, c=self.colors)\n", + " plt.xlabel('Ground Truth')\n", + " plt.ylabel('Model Estimate')\n", + " plt.title(title)\n", + " plt.show()\n", + "\n", + " def report(self):\n", + " average_error = sum(self.errors) / self.size\n", + " rmsle = math.sqrt(sum(self.sles) / self.size)\n", + " hits = [e for e in self.errors if e<20]\n", + " title = f\"{self.title} Error=${average_error:,.2f} RMSLE={rmsle:,.2f} Hits={len(hits)/self.size*100:.1f}%\"\n", + " self.chart(title)\n", + "\n", + " def run(self):\n", + " self.error = 0\n", + " for i in range(self.size):\n", + " self.run_datapoint(i)\n", + " self.report()\n", + " return self" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e3a8519f-c139-4c72-8d9c-39ccedda2f7b", + "metadata": {}, + "outputs": [], + "source": [ + "train_average = sum(t.price for t in train)/len(train)\n", + "\n", + "def flat_predictor(item):\n", + " return train_average" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "739d2e33-55d4-4892-b42c-771131159c8d", + "metadata": {}, + "outputs": [], + "source": [ + "runner = TestRunner(flat_predictor, test, \"Flat Predictor\").run()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9d3a5d83-d90b-40af-979f-85aa21816578", + "metadata": {}, + "outputs": [], + "source": [ + "human_predictions = []\n", + "with open('human.csv', 'r') as csvfile:\n", + " reader = csv.reader(csvfile)\n", + " for row in reader:\n", + " human_predictions.append(float(row[2]))\n", + "\n", + "def human_predictor(item):\n", + " index = test.index(item)\n", + " if index==-1:\n", + " raise ValueError(\"Index not found\")\n", + " return human_predictions[index]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6c87c385-d6b7-4a4f-89eb-f4e250337d03", + "metadata": {}, + "outputs": [], + "source": [ + "runner = TestRunner(human_predictor, test, \"Human Predictor\").run()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d6a6c4a5-e817-46b8-99d2-9c4ecf9c8685", + "metadata": {}, + "outputs": [], + "source": [ + "stop = set(['the', 'and', 'for', 'is', 'to', 'this', 'with', 'a', 'of', 'your', 'are', 'in','from', 'you', 'or', 'an', 'on', 'by'])\n", + "\n", + "def words(item):\n", + " text = f\"{item.title} {item.details}\"\n", + " text = re.sub(r'[\\(\\)\\[\\]\\{\\},\\'\"\\- \\s]+', ' ', text)\n", + " words = text.strip().lower().split(' ')\n", + " filtered = [word for word in words if word not in stop]\n", + " return \" \".join(filtered)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "56682e9c-46c9-48f2-baea-e943804290f6", + "metadata": {}, + "outputs": [], + "source": [ + "documents = [words(item) for item in train]\n", + "from collections import Counter\n", + "count = Counter()\n", + "for doc in documents:\n", + " ws = doc.split(\" \")\n", + " for w in ws:\n", + " count[w]+=1\n", + "count.most_common(30)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "262fc576-7606-426c-8aea-5799b3952d2c", + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.feature_extraction.text import CountVectorizer\n", + "from sklearn.linear_model import LinearRegression\n", + "import numpy as np\n", + "\n", + "np.random.seed(42)\n", + "\n", + "labels = np.array([float(item.price) for item in train])\n", + "\n", + "vectorizer = CountVectorizer()\n", + "X = vectorizer.fit_transform(documents)\n", + "\n", + "regressor = LinearRegression()\n", + "regressor.fit(X, labels)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bd782b21-8e44-409d-a7b6-f136974958b4", + "metadata": {}, + "outputs": [], + "source": [ + "def linear_regression_predictor(item):\n", + " np.random.seed(42)\n", + " x = vectorizer.transform([words(item)])\n", + " return max(regressor.predict(x)[0], 0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "80e77aae-0071-42e9-8e24-d3aec5256015", + "metadata": {}, + "outputs": [], + "source": [ + "runner1 = TestRunner(linear_regression_predictor, test, \"Linear Regression\").run()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a70d16ce-bdf1-4071-8c5a-5bddc2aa37e4", + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.feature_extraction.text import TfidfVectorizer\n", + "from sklearn.svm import SVR\n", + "\n", + "np.random.seed(42)\n", + "\n", + "labels = np.array([float(item.price) for item in train])\n", + "\n", + "vectorizer = TfidfVectorizer(max_features=20)\n", + "X = vectorizer.fit_transform(documents)\n", + "\n", + "regressor = SVR(kernel='linear')\n", + "regressor.fit(X, labels)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "64560112-3bfb-45cc-b489-de619a2eca20", + "metadata": {}, + "outputs": [], + "source": [ + "def svr_predictor(item):\n", + " np.random.seed(42)\n", + " x = vectorizer.transform([words(item)])\n", + " return max(regressor.predict(x)[0], 0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "392598d4-2deb-4935-9175-fd111616b13c", + "metadata": {}, + "outputs": [], + "source": [ + "runner2 = TestRunner(svr_predictor, test, \"SVR Accuracy\").run()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "60010699-d26b-4f93-a959-50272ada6a57", + "metadata": {}, + "outputs": [], + "source": [ + "def messages_for(item):\n", + " system_message = \"You estimate prices of items. Reply only with the price, no explanation\"\n", + " user_prompt = item.test_prompt().replace(\" to the nearest dollar\",\"\")\n", + " return [\n", + " {\"role\": \"system\", \"content\": system_message},\n", + " {\"role\": \"user\", \"content\": user_prompt}\n", + " ]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2d5c1a62-9c6e-4c1c-b051-95a78e6e32a7", + "metadata": {}, + "outputs": [], + "source": [ + "def get_price(s):\n", + " s = s.replace('$','').replace(',','')\n", + " match = re.search(r\"[-+]?\\d*\\.\\d+|\\d+\", s)\n", + " return float(match.group()) if match else 0" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9c845d34-1c73-4636-a6ec-cc6666bb39fa", + "metadata": {}, + "outputs": [], + "source": [ + "def gpt_predictor(item):\n", + " response = openai.chat.completions.create(\n", + " model=OPENAI_MODEL, #\"gpt-4o-2024-08-06\", \n", + " messages=messages_for(item),\n", + " seed=42,\n", + " max_tokens=6\n", + " )\n", + " reply = response.choices[0].message.content\n", + " return get_price(reply)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1b3eb3ef-90a8-4642-b503-c22e72c457f5", + "metadata": {}, + "outputs": [], + "source": [ + "runner = TestRunner(gpt_predictor, test, \"GPT-4o-mini Prediction Accuracy\").run()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c43e2865-ac54-4ea8-9d2c-bbbeedf89029", + "metadata": {}, + "outputs": [], + "source": [ + "def frontier_predictor(item):\n", + " response = openai.chat.completions.create(\n", + " model=\"gpt-4o-2024-08-06\", \n", + " messages=messages_for(item),\n", + " seed=42,\n", + " max_tokens=6\n", + " )\n", + " reply = response.choices[0].message.content\n", + " return get_price(reply)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4bf517b2-9a7e-4def-93ba-f728f16d91e2", + "metadata": {}, + "outputs": [], + "source": [ + "runner = TestRunner(frontier_predictor, test, \"GPT-4o Frontier Prediction\").run()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "059b6c74-917f-4cb1-b810-ce70735a57be", + "metadata": {}, + "outputs": [], + "source": [ + "train_prompts = [item.prompt for item in train]\n", + "train_prices = [item.price for item in train]\n", + "test_prompts = [item.test_prompt() for item in test]\n", + "test_prices = [item.price for item in test]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b8ba48cb-da5e-4ddb-8955-8a94e62ea8e0", + "metadata": {}, + "outputs": [], + "source": [ + "test_prompts[2]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f9ee2e90-79b6-4232-b955-b1c67bc3d600", + "metadata": {}, + "outputs": [], + "source": [ + "# Create a Dataset from the lists\n", + "train_dataset = Dataset.from_dict({\"text\": train_prompts, \"price\": train_prices})\n", + "test_dataset = Dataset.from_dict({\"text\": test_prompts, \"price\": test_prices})\n", + "dataset = DatasetDict({\n", + " \"train\": train_dataset,\n", + " \"test\": test_dataset\n", + "})" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e69e26a5-4b24-4e0f-8944-731c534b285b", + "metadata": {}, + "outputs": [], + "source": [ + "DATASET_NAME = \"ed-donner/pricer-data\"\n", + "dataset.push_to_hub(DATASET_NAME, private=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0282b9c5-019b-4e1c-910c-3f86b46b35dd", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/week6_wip/day1-pricer.ipynb b/week6_wip/day1-pricer.ipynb new file mode 100644 index 0000000..b43c5ea --- /dev/null +++ b/week6_wip/day1-pricer.ipynb @@ -0,0 +1,2322 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "9491dd8f-8124-4a51-be3a-8f678c149dcf", + "metadata": {}, + "outputs": [], + "source": [ + "# imports\n", + "\n", + "import os\n", + "import re\n", + "import math\n", + "import random\n", + "from datetime import datetime\n", + "import numpy as np\n", + "from typing import Optional\n", + "from dotenv import load_dotenv\n", + "from openai import OpenAI\n", + "import anthropic\n", + "from huggingface_hub import login\n", + "from tqdm import tqdm\n", + "import matplotlib.pyplot as plt\n", + "from datasets import load_dataset, Dataset, DatasetDict\n", + "from concurrent.futures import ProcessPoolExecutor\n", + "from transformers import AutoTokenizer\n", + "from items import Item, read_dataset\n", + "import pickle" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "9cd394a2-d8e6-4e8f-a120-50c0ee12620d", + "metadata": {}, + "outputs": [], + "source": [ + "# environment\n", + "\n", + "load_dotenv()\n", + "os.environ['OPENAI_API_KEY'] = os.getenv('OPENAI_API_KEY', 'your-key-if-not-using-env')\n", + "os.environ['ANTHROPIC_API_KEY'] = os.getenv('ANTHROPIC_API_KEY', 'your-key-if-not-using-env')\n", + "os.environ['HF_TOKEN'] = os.getenv('HF_TOKEN', 'your-key-if-not-using-env')" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "846ded5d-b7f5-4581-8f56-d9650ff329c1", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Token is valid (permission: write).\n", + "Your token has been saved in your configured git credential helpers (osxkeychain).\n", + "Your token has been saved to /Users/ed/.cache/huggingface/token\n", + "Login successful\n" + ] + } + ], + "source": [ + "# initialize\n", + "\n", + "openai = OpenAI()\n", + "claude = anthropic.Anthropic()\n", + "OPENAI_MODEL = \"gpt-4o-mini\"\n", + "CLAUDE_MODEL = \"claude-3-5-sonnet-20240620\"\n", + "hf_token = os.environ['HF_TOKEN']\n", + "login(hf_token, add_to_git_credential=True)\n", + "PHI3 = \"microsoft/Phi-3-medium-4k-instruct\"\n", + "GEMMA = \"google/gemma-2-9b-it\"" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "e81b23f7-8aa3-4590-ae5c-2d1bebd2f7c9", + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "id": "8a45e4f9-4fcf-4f72-8db2-54cbb1889901", + "metadata": {}, + "outputs": [], + "source": [ + "# Constants\n", + "\n", + "BASE_MODEL = \"meta-llama/Meta-Llama-3.1-8B\"\n", + "\n", + "# Used for writing to output in color\n", + "\n", + "GREEN = \"\\033[92m\"\n", + "YELLOW = \"\\033[93m\"\n", + "RED = \"\\033[91m\"\n", + "RESET = \"\\033[0m\"\n", + "COLOR_MAP = {\"red\":RED, \"yellow\": YELLOW, \"green\": GREEN}" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "fb2ed609-a00a-4ff8-9f4d-8f2ff8ea26dd", + "metadata": {}, + "outputs": [], + "source": [ + "dataset_names = [\n", + " \"Automotive\",\n", + " \"Electronics\",\n", + " \"Office_Products\",\n", + " \"Tools_and_Home_Improvement\",\n", + " \"Cell_Phones_and_Accessories\",\n", + " \"Toys_and_Games\",\n", + " \"Appliances\",\n", + " \"Musical_Instruments\",\n", + "]" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "29bc061b-1e8d-4df6-ad49-c6148f527d49", + "metadata": {}, + "outputs": [], + "source": [ + "# start = datetime.now()\n", + "# items = read_dataset(\"Appliances\")\n", + "# finish = datetime.now()\n", + "# print(f\"Completed in {(finish-start).total_seconds()/60:.1f} mins\")" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "e80316d4-a84e-4b0d-8f36-988fe1bd2e2e", + "metadata": {}, + "outputs": [], + "source": [ + "# print(items[10000].prompt)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "dd11853b-9e21-4b14-9a08-9d9f63636e1a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading dataset Electronics\n", + "Loading dataset Automotive\n", + "Loading dataset Tools_and_Home_Improvement\n", + "Loading dataset Office_Products\n", + "Loading dataset Toys_and_Games\n", + "Loading dataset Cell_Phones_and_Accessories\n", + "Completed loading Office_Products with 240,394 datapoints\n", + "Loading dataset Appliances\n", + "Completed loading Appliances with 28,625 datapoints\n", + "Loading dataset Musical_Instruments\n", + "Completed loading Cell_Phones_and_Accessories with 238,869 datapoints\n", + "Completed loading Toys_and_Games with 340,479 datapoints\n", + "Completed loading Musical_Instruments with 66,829 datapoints\n", + "Completed loading Electronics with 443,473 datapoints\n", + "Completed loading Tools_and_Home_Improvement with 541,051 datapoints\n", + "Completed loading Automotive with 911,688 datapoints\n", + "Completed in 17.9 mins\n" + ] + } + ], + "source": [ + "start = datetime.now()\n", + "items = []\n", + "with ProcessPoolExecutor(max_workers=6) as pool:\n", + " for results in pool.map(read_dataset, dataset_names):\n", + " items.extend(results)\n", + "finish = datetime.now()\n", + "print(f\"Completed in {(finish-start).total_seconds()/60:.1f} mins\")" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "7af95a63-2116-4b62-9d99-1808721410c6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "2811408" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(items)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "3d7ab348-3708-4357-b96f-65839f897223", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "179" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "max(item.token_count for item in items)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "91171f6b-4624-401a-9af5-9c9a1ce434c0", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b01322eb-d84d-46de-a12b-c2b027bac66d", + "metadata": {}, + "outputs": [], + "source": [ + "with open('items2.pkl', 'wb') as file:\n", + " pickle.dump(items, file)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cecfb43d-3692-475d-b80d-512e6b9b55c2", + "metadata": {}, + "outputs": [], + "source": [ + "with open('items2.pkl', 'rb') as file:\n", + " items = pickle.load(file)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d9949f7f-81d6-45d9-8f8f-d3690a8ffa85", + "metadata": {}, + "outputs": [], + "source": [ + "len(items)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "011bffcf-03f8-4f0d-8999-b53d1ac88624", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "There are 2,811,408 items with prices\n", + "\n", + "How much does this cost to the nearest dollar?\n", + "\n", + "Mandala Wall Decal\n", + "Introduce a touch of elegance and beauty to your home with our Mandala Wall Decal. This stunning decal features intricate and detailed mandala designs that will add a unique and sophisticated touch to any room. Available in a variety of sizes, our Mandala Wall Decal is the perfect choice for any space, from bedrooms to living rooms and beyond. Plus, the easy application and removal process makes it simple to switch up your decor whenever you desire. Crafted from premium-quality vinyl, our Mandala Wall Decal is designed to be long-lasting and durable. It won't fade, crack or peel, and it's safe to use on any smooth surface. With its intricate and beautiful design, our Mandala Wall Decal is the perfect way to elevate your\n", + "\n", + "Price is $16.00\n" + ] + } + ], + "source": [ + "# Let's investigate:\n", + "\n", + "print(f\"There are {len(items):,} items with prices\\n\")\n", + "print(items[2000000].prompt)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "fcf74830-1e97-4543-b454-eefd314fc106", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Average length is 767.1 and highest length is 1,336\n", + "\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the distribution of character count\n", + "\n", + "lengths = [len(item.prompt) for item in items]\n", + "fig, ax = plt.subplots(1, 1)\n", + "ax.set_xlabel('Length')\n", + "ax.set_ylabel('Count of items');\n", + "_ = ax.hist(lengths, rwidth=0.7, color=\"lightblue\", bins=range(0, 1000, 50))\n", + "\n", + "print(f\"Average length is {sum(lengths)/len(lengths):,.1f} and highest length is {max(lengths):,}\\n\")" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "d5dde349-610a-4e96-a2ea-9178a9c1fa2a", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the distribution of tokens\n", + "\n", + "token_counts = [item.token_count for item in items]\n", + "fig, ax = plt.subplots(1, 1)\n", + "ax.set_xlabel('Number of tokens')\n", + "ax.set_ylabel('Count of items');\n", + "_ = ax.hist(token_counts, rwidth=0.7, color=\"orange\", bins=range(0, 200, 10))" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "da0a20b4-8926-4eff-bf83-11c4f6b40455", + "metadata": {}, + "outputs": [], + "source": [ + "def report(item):\n", + " prompt = item.prompt\n", + " tokens = Item.tokenizer.encode(item.prompt)\n", + " print(prompt)\n", + " print(tokens[-10:])\n", + " print(Item.tokenizer.batch_decode(tokens[-10:]))" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "2378cb92-305a-49d0-8193-4ae09a0cccf8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "How much does this cost to the nearest dollar?\n", + "\n", + "Cardone Service Plus Remanufactured Caliper Bracket (Renewed)\n", + "At Cardone, quality is the foundation of our corporate culture and the focus of each and every part we sell. We remanufacture all Caliper Brackets to the highest standards to meet or exceed OEM performance. All bolt threads have been thoroughly inspected and tested to ensure trouble-free installation. Feel confident each and every time you apply your brakes, knowing you have Cardone high quality products installed. Meets or exceeds OE performance and original OE design flaws are corrected Application-specific brackets ensure proper fit and function Brackets are coated with rust protection to extend product life Grease pack is included for easy installation Industry-leading bracket coverage offers the most complete list of applications to choose from Manufacturer Cardone Service Plus, Brand Cardone, Model\n", + "\n", + "Price is $36.00\n", + "[606, 11, 5008, 271, 7117, 374, 400, 1927, 13, 410]\n", + "['one', ',', ' Model', '\\n\\n', 'Price', ' is', ' $', '36', '.', '00']\n" + ] + } + ], + "source": [ + "report(items[1])" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "50d88feb-d0ee-4abf-a013-7d11a7e4e2cd", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Average price is $59.66 and highest price is $999.49\n", + "\n" + ] + }, + { + "data": { + "image/png": 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dOnRIL7/8sh577DHl5eVJklavXq29e/e6tJ+kpCS9//77mjdvnvbv369x48YpOzvbcblqwoQJGjJkiKN/nz59lJaWptTUVB0+fFibN2/WM888o9tuu01hYWEVORUAAGASLoee9evXq02bNvrqq6+Ulpamc+fOSZJ27dqliRMnurSvAQMGKCUlRVOmTFH79u21YcMGpaenKyIiQpKUk5Oj7OxsR/9hw4ZpxowZmjlzpqKjo9WvXz+1aNGCL7sDAIDf5fJ7euLj49WvXz8lJSWpTp06+uabbxQVFaWvv/5affv21fHjxz1Vq1vwnh4AAKofr7ynZ/fu3U734FzVsGFDPgcBAACuWy6Hnrp16yonJ6dE+86dO9WoUSO3FAUAAOBuLoeexx9/XM8//7xyc3NlsVhkt9u1efNmjR8/3ummYwAAgOuJy6HntddeU5MmTdSoUSOdO3dOrVu31l133aWOHTvq5Zdf9kSNAAAAlebye3r8/Py0ePFivfrqq9qxY4fsdrtiYmLUrFkzT9QHAADgFi7P9EyZMkUXLlxQVFSUHnnkEfXv31/NmjXTxYsXNWXKFE/UCAAAUGkuh57Jkyc73s3zny5cuKDJkye7pSgAAAB3czn0lPVB0G+++aZCHxwFAACoCuW+p+fGG2+UxWKRxWJR8+bNnYJPcXGxzp07d82vnQMAAHhTuUNPSkqKDMPQ8OHDNXnyZNlsNse6mjVrqmnTpoqPj/dIkQAAAJVV7tBz9evqkZGR6tixo/z8/DxWFAAAgLuVK/QUFhY6vnMRExOjixcv6uLFi6X29cT3rAAAACqrXKHnxhtvVE5OjoKCglS3bt1Sb2S+eoNzcXGx24sEAACorHKFni+++MLxZNa6des8WhAAAIAnlCv0dOnSpdT/BgAAqC5cfk8PAABAdUToAQAApkDoAQAAplCu0LNq1SpdvnzZ07UAAAB4TLlCz0MPPaQzZ85Iknx8fJSXl+fJmgAAANyuXKGnYcOG+ve//y2p7A+OAgAAXM/K9ch6YmKiHnzwQccHR0NCQsrsy8sJAQDA9ahcoWfSpEl69NFHdfDgQT3wwAOaP3++6tat6+HSAAAA3KfcHxxt2bKlWrZsqYkTJ6pfv3664YYbPFkXAACAW5U79Fw1ceJESdLPP/+s7777ThaLRc2bN1fDhg3dXhwAAIC7uPyengsXLmj48OEKCwvTXXfdpc6dOyssLEwjRozQhQsXPFEjAABApbkcesaNG6f169dr1apVOnPmjM6cOaN//etfWr9+vf761796okYAAIBKc/ny1ooVK/TRRx/p7rvvdrT16tVLAQEB6t+/v1JTU91ZHwAAgFtU6PJWcHBwifagoCAubwEAgOuWy6EnPj5eEydO1C+//OJou3jxoiZPnqz4+Hi3FgcAAOAuLl/eeuutt9SjRw81btxY7dq1k8ViUVZWlvz9/bVmzRpP1AgAAFBpLoee6Ohoff/991q0aJG+/fZbGYahRx99VAMHDlRAQIAnagQAAKg0l0OPJAUEBOipp55ydy0AAAAe4/I9PQAAANURoQcAAJgCoQcAAJgCoQcAAJiCy6EnKipKJ0+eLNF+5swZRUVFuaUoAAAAd3M59Bw9elTFxcUl2ouKinT8+HG3FAUAAOBu5X5kfdWqVY7/XrNmjWw2m+Pn4uJiff7552ratKlbiwMAAHCXcoeevn37SpIsFouGDh3qtM7Pz09NmzbV9OnT3VocAACAu5Q79NjtdklSZGSkvv76azVo0MBjRQEAALiby29kPnLkiCfqAAAA8KgKfYbi888/1+eff668vDzHDNBV8+bNc2lfs2fP1t///nfl5OTolltuUUpKijp37lxm/6KiIk2ZMkWLFi1Sbm6uGjdurJdeeknDhw+vyKkAAACTcDn0TJ48WVOmTFFcXJxCQ0NlsVgqfPBly5Zp7Nixmj17tjp16qR3331XPXv21L59+9SkSZNSt+nfv79OnDihuXPn6uabb1ZeXp6uXLlS4RoAAIA5WAzDMFzZIDQ0VG+++aYGDx5c6YPffvvt6tChg1JTUx1trVq1Ut++fZWcnFyi/+rVq/Xoo4/q8OHDqlevXoWOWVhYKJvNpoKCAgUGBla49rJYLNNKbTeM8W4/FgAAZuGO398uv6fn0qVL6tixY4UO9tv9ZGZmKiEhwak9ISFBW7ZsKXWbVatWKS4uTm+++aYaNWqk5s2ba/z48bp48WKl6wEAAH9sLl/eevLJJ/XBBx/ov//7vyt14Pz8fBUXFys4ONipPTg4WLm5uaVuc/jwYW3atEn+/v76+OOPlZ+fr5EjR+rUqVNl3ktUVFSkoqIix8+FhYWVqtsdypoNkpgRAgDAU1wOPb/88ovee+89ffbZZ2rbtq38/Pyc1s+YMcOl/f32niDDMMq8T8hut8tisWjx4sWOlyPOmDFDjzzyiGbNmqWAgIAS2yQnJ2vy5Mku1QQAAP54XA49u3btUvv27SVJe/bscVrnyk3NDRo0kI+PT4lZnby8vBKzP1eFhoaqUaNGTm+DbtWqlQzD0I8//qhmzZqV2GbChAlKSkpy/FxYWKjw8PBy1wkAAP4YXA4969atc8uBa9asqdjYWGVkZOihhx5ytGdkZOjBBx8sdZtOnTpp+fLlOnfunGrXri1JOnDggGrUqKHGjRuXuo3VapXVanVLzQAAoPpy+UZmd0pKStL777+vefPmaf/+/Ro3bpyys7OVmJgo6ddZmiFDhjj6P/7446pfv76eeOIJ7du3Txs2bNCzzz6r4cOHl3ppCwAA4CqXZ3q6du16zctYX3zxRbn3NWDAAJ08eVJTpkxRTk6OoqOjlZ6eroiICElSTk6OsrOzHf1r166tjIwMjR49WnFxcapfv7769++vqVOnunoaAADAZFwOPVfv57nq8uXLysrK0p49e0p8iLQ8Ro4cqZEjR5a6bsGCBSXaWrZsqYyMDJePAwAAzM3l0POPf/yj1PZJkybp3LlzlS4IAADAE9x2T8+gQYNc/u4WAABAVXFb6Nm6dav8/f3dtTsAAAC3cvny1p/+9Cennw3DUE5OjrZv317ptzQDAAB4isuh5z9fDChJNWrUUIsWLTRlypQS39ECAAC4XrgceubPn++JOgAAADzK5dBzVWZmpvbv3y+LxaLWrVsrJibGnXUBAAC4lcuhJy8vT48++qi+/PJL1a1bV4ZhqKCgQF27dtXSpUvVsGFDT9QJAABQKS4/vTV69GgVFhZq7969OnXqlE6fPq09e/aosLBQzzzzjCdqBAAAqDSXZ3pWr16tzz77TK1atXK0tW7dWrNmzeJGZgAAcN1yeabHbrfLz8+vRLufn5/sdrtbigIAAHA3l0PPPffcozFjxuinn35ytB0/flzjxo3Tvffe69biAAAA3MXl0DNz5kydPXtWTZs21U033aSbb75ZkZGROnv2rN555x1P1AgAAFBpLt/TEx4erh07digjI0PffvutDMNQ69atdd9993miPgAAALeo8Ht6unXrpm7durmzFgAAAI8p9+WtL774Qq1bt1ZhYWGJdQUFBbrlllu0ceNGtxYHAADgLuUOPSkpKXrqqacUGBhYYp3NZtOf//xnzZgxw63FAQAAuEu5Q88333yjHj16lLk+ISFBmZmZbikKAADA3codek6cOFHq+3mu8vX11c8//+yWogAAANyt3KGnUaNG2r17d5nrd+3apdDQULcUBQAA4G7lDj29evXSK6+8ol9++aXEuosXL2rixIm6//773VocAACAu5T7kfWXX35ZaWlpat68uZ5++mm1aNFCFotF+/fv16xZs1RcXKyXXnrJk7UCAABUWLlDT3BwsLZs2aK//OUvmjBhggzDkCRZLBZ1795ds2fPVnBwsMcKBQAAqAyXXk4YERGh9PR0nT59WgcPHpRhGGrWrJluvPFGT9UHAADgFhV6I/ONN96oW2+91d21AAAAeIzLHxwFAACojgg9AADAFAg9AADAFAg9AADAFAg9AADAFAg9AADAFAg9AADAFAg9AADAFAg9AADAFAg9AADAFAg9AADAFAg9AADAFAg9AADAFAg9AADAFAg9AADAFAg9AADAFAg9AADAFAg9AADAFAg9AADAFLweembPnq3IyEj5+/srNjZWGzduLNd2mzdvlq+vr9q3b+/ZAgEAwB+CV0PPsmXLNHbsWL300kvauXOnOnfurJ49eyo7O/ua2xUUFGjIkCG69957q6hSAABQ3Xk19MyYMUMjRozQk08+qVatWiklJUXh4eFKTU295nZ//vOf9fjjjys+Pr6KKgUAANWd10LPpUuXlJmZqYSEBKf2hIQEbdmypczt5s+fr0OHDmnixInlOk5RUZEKCwudFgAAYD5eCz35+fkqLi5WcHCwU3twcLByc3NL3eb777/XCy+8oMWLF8vX17dcx0lOTpbNZnMs4eHhla4dAABUP16/kdlisTj9bBhGiTZJKi4u1uOPP67JkyerefPm5d7/hAkTVFBQ4FiOHTtW6ZoBAED1U77pEg9o0KCBfHx8Sszq5OXllZj9kaSzZ89q+/bt2rlzp55++mlJkt1ul2EY8vX11dq1a3XPPfeU2M5qtcpqtXrmJAAAQLXhtZmemjVrKjY2VhkZGU7tGRkZ6tixY4n+gYGB2r17t7KyshxLYmKiWrRooaysLN1+++1VVToAAKiGvDbTI0lJSUkaPHiw4uLiFB8fr/fee0/Z2dlKTEyU9OulqePHj2vhwoWqUaOGoqOjnbYPCgqSv79/iXYAAIDf8mroGTBggE6ePKkpU6YoJydH0dHRSk9PV0REhCQpJyfnd9/ZAwAAUB4WwzAMbxdRlQoLC2Wz2VRQUKDAwEC3799imVZqu2GM/90+v+0HAAB+5Y7f315/egsAAKAqEHoAAIApEHoAAIApEHoAAIApEHoAAIApEHoAAIApEHoAAIApEHoAAIApEHoAAIApEHoAAIApEHoAAIApEHoAAIApEHoAAIApEHoAAIApEHoAAIApEHoAAIApEHoAAIApEHoAAIApEHoAAIApEHoAAIApEHoAAIApEHoAAIApEHoAAIApEHoAAIApEHoAAIApEHoAAIApEHoAAIApEHoAAIApEHoAAIApEHoAAIApEHoAAIApEHoAAIApEHoAAIApEHoAAIApEHoAAIAp+Hq7AJTOYplW5jrDGF+FlQAA8MfATA8AADAFQg8AADAFQg8AADAFQg8AADAFQg8AADAFQg8AADAFQg8AADAFr4ee2bNnKzIyUv7+/oqNjdXGjRvL7JuWlqZu3bqpYcOGCgwMVHx8vNasWVOF1QIAgOrKq6Fn2bJlGjt2rF566SXt3LlTnTt3Vs+ePZWdnV1q/w0bNqhbt25KT09XZmamunbtqj59+mjnzp1VXDkAAKhuLIZhGN46+O23364OHTooNTXV0daqVSv17dtXycnJ5drHLbfcogEDBuiVV14pV//CwkLZbDYVFBQoMDCwQnVfS1lvUv7PtyiX523LvJEZAID/zx2/v70203Pp0iVlZmYqISHBqT0hIUFbtmwp1z7sdrvOnj2revXqldmnqKhIhYWFTgsAADAfr4We/Px8FRcXKzg42Kk9ODhYubm55drH9OnTdf78efXv37/MPsnJybLZbI4lPDy8UnUDAIDqyes3MlssFqefDcMo0VaaJUuWaNKkSVq2bJmCgoLK7DdhwgQVFBQ4lmPHjlW6ZgAAUP147SvrDRo0kI+PT4lZnby8vBKzP7+1bNkyjRgxQsuXL9d99913zb5Wq1VWq7XS9QIAgOrNazM9NWvWVGxsrDIyMpzaMzIy1LFjxzK3W7JkiYYNG6YPPvhAvXv39nSZAADgD8JrMz2SlJSUpMGDBysuLk7x8fF67733lJ2drcTEREm/Xpo6fvy4Fi5cKOnXwDNkyBC99dZbuuOOOxyzRAEBAbLZbF47DwAAcP3zaugZMGCATp48qSlTpignJ0fR0dFKT09XRESEJCknJ8fpnT3vvvuurly5olGjRmnUqFGO9qFDh2rBggVVXT4AAKhGvPqeHm/gPT0AAFQ/1fo9PQAAAFWJ0AMAAEyB0AMAAEyB0AMAAEyB0AMAAEyB0AMAAEyB0AMAAEyB0AMAAEzBq29kRuWV52WIAACAmR4AAGAShB4AAGAKhB4AAGAKhB4AAGAKhB4AAGAKhB4AAGAKhB4AAGAKhB4AAGAKhB4AAGAKhB4AAGAKhB4AAGAKfHvLBPg+FwAAzPQAAACTIPQAAABTIPQAAABTIPQAAABTIPQAAABTIPQAAABTIPQAAABTIPQAAABTIPQAAABT4I3MkFT2W5sl3twMAPhjYKYHAACYAqEHAACYApe34BI+XgoAqK6Y6QEAAKZA6AEAAKbA5S24HZfAAADXI2Z6AACAKTDTA6/gvUAAgKpG6MF1i2AEAHAnLm8BAABTIPQAAABT4PIWqj2eFgMAlIfXZ3pmz56tyMhI+fv7KzY2Vhs3brxm//Xr1ys2Nlb+/v6KiorSnDlzqqhSVGcWy7RSl/L0uda9RQCA6sOrMz3Lli3T2LFjNXv2bHXq1EnvvvuuevbsqX379qlJkyYl+h85ckS9evXSU089pUWLFmnz5s0aOXKkGjZsqIcfftgLZwCzKe/N1cw+AcD1x6uhZ8aMGRoxYoSefPJJSVJKSorWrFmj1NRUJScnl+g/Z84cNWnSRCkpKZKkVq1aafv27Zo2bRqhB6bFU24AUD5eCz2XLl1SZmamXnjhBaf2hIQEbdmypdRttm7dqoSEBKe27t27a+7cubp8+bL8/Pw8Vi/gbuWZDXJnoKnM8a738ETwA1AeXgs9+fn5Ki4uVnBwsFN7cHCwcnNzS90mNze31P5XrlxRfn6+QkNDS2xTVFSkoqIix88FBQWSpMLCwsqeQhl+KbXV+Xil93HuV54+lTue6zVV9fGo6XqsyWZ7u8zjFRQ8U+4+1+rnap/yjEFV13Q9jlN1rckbx3OX8v39rfh+KrKv6urqv2XDMCq+E8NLjh8/bkgytmzZ4tQ+depUo0WLFqVu06xZM+P11193atu0aZMhycjJySl1m4kTJxqSWFhYWFhYWP4Ay7FjxyqcPbw209OgQQP5+PiUmNXJy8srMZtzVUhISKn9fX19Vb9+/VK3mTBhgpKSkhw/2+12nTp1SvXr15fFYqnkWfx/hYWFCg8P17FjxxQYGOi2/aJ0jHfVY8yrFuNd9RjzqufKmBuGobNnzyosLKzCx/Na6KlZs6ZiY2OVkZGhhx56yNGekZGhBx98sNRt4uPj9cknnzi1rV27VnFxcWXez2O1WmW1Wp3a6tatW7niryEwMJB/LFWI8a56jHnVYryrHmNe9co75jabrVLH8ep7epKSkvT+++9r3rx52r9/v8aNG6fs7GwlJiZK+nWWZsiQIY7+iYmJ+uGHH5SUlKT9+/dr3rx5mjt3rsaP50ZFAABwbV59ZH3AgAE6efKkpkyZopycHEVHRys9PV0RERGSpJycHGVnZzv6R0ZGKj09XePGjdOsWbMUFhamt99+m8fVAQDA7/L6ZyhGjhypkSNHlrpuwYIFJdq6dOmiHTt2eLgq11mtVk2cOLHEpTR4BuNd9RjzqsV4Vz3GvOpV9ZhbDKMyz34BAABUD17/9hYAAEBVIPQAAABTIPQAAABTIPS4wezZsxUZGSl/f3/FxsZq48aN3i6pWkpOTtatt96qOnXqKCgoSH379tV3333n1McwDE2aNElhYWEKCAjQ3Xffrb179zr1KSoq0ujRo9WgQQPVqlVLDzzwgH788ceqPJVqKTk5WRaLRWPHjnW0Md7ud/z4cQ0aNEj169fXDTfcoPbt2yszM9OxnjF3rytXrujll19WZGSkAgICFBUVpSlTpshutzv6MOYVt2HDBvXp00dhYWGyWCxauXKl03p3je3p06c1ePBg2Ww22Ww2DR48WGfOnHG94Aq/yxmGYRjG0qVLDT8/P+Of//ynsW/fPmPMmDFGrVq1jB9++MHbpVU73bt3N+bPn2/s2bPHyMrKMnr37m00adLEOHfunKPPG2+8YdSpU8dYsWKFsXv3bmPAgAFGaGioUVhY6OiTmJhoNGrUyMjIyDB27NhhdO3a1WjXrp1x5coVb5xWtbBt2zajadOmRtu2bY0xY8Y42hlv9zp16pQRERFhDBs2zPjqq6+MI0eOGJ999plx8OBBRx/G3L2mTp1q1K9f3/j000+NI0eOGMuXLzdq165tpKSkOPow5hWXnp5uvPTSS8aKFSsMScbHH3/stN5dY9ujRw8jOjra2LJli7FlyxYjOjrauP/++12ul9BTSbfddpuRmJjo1NayZUvjhRde8FJFfxx5eXmGJGP9+vWGYRiG3W43QkJCjDfeeMPR55dffjFsNpsxZ84cwzAM48yZM4afn5+xdOlSR5/jx48bNWrUMFavXl21J1BNnD171mjWrJmRkZFhdOnSxRF6GG/3e/75540777yzzPWMufv17t3bGD58uFPbn/70J2PQoEGGYTDm7vTb0OOusd23b58hyfj3v//t6LN161ZDkvHtt9+6VCOXtyrh0qVLyszMVEJCglN7QkKCtmzZ4qWq/jgKCgokSfXq1ZMkHTlyRLm5uU7jbbVa1aVLF8d4Z2Zm6vLly059wsLCFB0dzZ9JGUaNGqXevXvrvvvuc2pnvN1v1apViouLU79+/RQUFKSYmBj985//dKxnzN3vzjvv1Oeff64DBw5Ikr755htt2rRJvXr1ksSYe5K7xnbr1q2y2Wy6/fbbHX3uuOMO2Ww2l8ff6y8nrM7y8/NVXFxc4gOpwcHBJT6MCtcYhqGkpCTdeeedio6OliTHmJY23j/88IOjT82aNXXjjTeW6MOfSUlLly7Vjh079PXXX5dYx3i73+HDh5WamqqkpCS9+OKL2rZtm5555hlZrVYNGTKEMfeA559/XgUFBWrZsqV8fHxUXFys1157TY899pgk/p57krvGNjc3V0FBQSX2HxQU5PL4E3rc4LdfazcMw61fcDejp59+Wrt27dKmTZtKrKvIePNnUtKxY8c0ZswYrV27Vv7+/mX2Y7zdx263Ky4uTq+//rokKSYmRnv37lVqaqrTdwYZc/dZtmyZFi1apA8++EC33HKLsrKyNHbsWIWFhWno0KGOfoy557hjbEvrX5Hx5/JWJTRo0EA+Pj4lkmZeXl6JZIvyGz16tFatWqV169apcePGjvaQkBBJuuZ4h4SE6NKlSzp9+nSZffCrzMxM5eXlKTY2Vr6+vvL19dX69ev19ttvy9fX1zFejLf7hIaGqnXr1k5trVq1cnxjkL/j7vfss8/qhRde0KOPPqo2bdpo8ODBGjdunJKTkyUx5p7krrENCQnRiRMnSuz/559/dnn8CT2VULNmTcXGxiojI8OpPSMjQx07dvRSVdWXYRh6+umnlZaWpi+++EKRkZFO6yMjIxUSEuI03pcuXdL69esd4x0bGys/Pz+nPjk5OdqzZw9/Jr9x7733avfu3crKynIscXFxGjhwoLKyshQVFcV4u1mnTp1KvIbhwIEDjo8s83fc/S5cuKAaNZx/1fn4+DgeWWfMPcddYxsfH6+CggJt27bN0eerr75SQUGB6+Pv0m3PKOHqI+tz58419u3bZ4wdO9aoVauWcfToUW+XVu385S9/MWw2m/Hll18aOTk5juXChQuOPm+88YZhs9mMtLQ0Y/fu3cZjjz1W6uOPjRs3Nj777DNjx44dxj333MOjpeX0n09vGQbj7W7btm0zfH19jddee834/vvvjcWLFxs33HCDsWjRIkcfxty9hg4dajRq1MjxyHpaWprRoEED47nnnnP0Ycwr7uzZs8bOnTuNnTt3GpKMGTNmGDt37nS8tsVdY9ujRw+jbdu2xtatW42tW7cabdq04ZF1b5k1a5YRERFh1KxZ0+jQoYPjEWu4RlKpy/z58x197Ha7MXHiRCMkJMSwWq3GXXfdZezevdtpPxcvXjSefvppo169ekZAQIBx//33G9nZ2VV8NtXTb0MP4+1+n3zyiREdHW1YrVajZcuWxnvvvee0njF3r8LCQmPMmDFGkyZNDH9/fyMqKsp46aWXjKKiIkcfxrzi1q1bV+r/t4cOHWoYhvvG9uTJk8bAgQONOnXqGHXq1DEGDhxonD592uV6+co6AAAwBe7pAQAApkDoAQAApkDoAQAApkDoAQAApkDoAQAApkDoAQAApkDoAQAApkDoAQAApkDoAXBduvvuuzV27FiPH2fw4MGOr57/p6NHj2rSpEkl2ouKitSkSRNlZmZ6vDYA7kXoAeBRw4YNk8VikcVikZ+fn6KiojR+/HidP3/+mtulpaXp1Vdf9Whtu3bt0v/+7/9q9OjR5d7GarVq/Pjxev755z1YGQBPIPQA8LgePXooJydHhw8f1tSpUzV79myNHz++1L6XL1+WJNWrV0916tTxaF0zZ85Uv379nI5z5MgRPfTQQ7rjjjv05ptvqmXLlkpMTHTabuDAgdq4caP279/v0foAuBehB4DHWa1WhYSEKDw8XI8//rgGDhyolStXSpImTZqk9u3ba968eYqKipLVapVhGCUubxUVFem5555TeHi4rFarmjVrprlz5zrW79u3T7169VLt2rUVHByswYMHKz8/v8ya7Ha7li9frgceeMCpfciQITpx4oRSU1M1bNgwvfXWW6pfv75Tn/r166tjx45asmRJ5QcHQJUh9ACocgEBAY4ZHUk6ePCgPvzwQ61YsUJZWVmlbjNkyBAtXbpUb7/9tvbv3685c+aodu3akqScnBx16dJF7du31/bt27V69WqdOHFC/fv3L7OGXbt26cyZM4qLi3Nq37lzp0aNGqWYmBgFBQWpe/fueu2110psf9ttt2njxo0VOHsA3uLr7QIAmMu2bdv0wQcf6N5773W0Xbp0Sf/zP/+jhg0blrrNgQMH9OGHHyojI0P33XefJCkqKsqxPjU1VR06dHC6IXnevHkKDw/XgQMH1Lx58xL7PHr0qHx8fBQUFOTU3qlTJ6WkpMhut1/zPBo1aqSjR4/+7vkCuH4w0wPA4z799FPVrl1b/v7+io+P11133aV33nnHsT4iIqLMwCNJWVlZ8vHxUZcuXUpdn5mZqXXr1ql27dqOpWXLlpKkQ4cOlbrNxYsXZbVaZbFYnNoXL16sO+64Qy+++KJee+01xcfH66OPPiqxfUBAgC5cuPC75w7g+sFMDwCP69q1q1JTU+Xn56ewsDD5+fk5ra9Vq9Y1tw8ICLjmervdrj59+uhvf/tbiXWhoaGlbtOgQQNduHBBly5dUs2aNZ3a33nnHf31r3/VG2+8oaZNm2rAgAH6v//7PyUkJDj6nTp16ppBDcD1h5keAB5Xq1Yt3XzzzYqIiCgReMqjTZs2stvtWr9+fanrO3TooL1796pp06a6+eabnZayAlX79u0l/XoDdFlCQkL0wgsvqH379iXu39mzZ49iYmJcPhcA3kPoAXDda9q0qYYOHarhw4dr5cqVOnLkiL788kt9+OGHkqRRo0bp1KlTeuyxx7Rt2zYdPnxYa9eu1fDhw1VcXFzqPhs2bKgOHTpo06ZNTu0jRozQtm3bdP78eRUVFSktLU179+5VbGysU7+NGzc6zfwAuP4RegBUC6mpqXrkkUc0cuRItWzZUk899ZTjBYdhYWHavHmziouL1b17d0VHR2vMmDGy2WyqUaPs/83913/9lxYvXuzUFhQUpOHDh+u2227T3//+d40fP16vvvqq+vbt6+izdetWFRQU6JFHHvHIuQLwDIthGIa3iwAAb/jll1/UokULLV26VPHx8U7rjh49qgULFpT6KYp+/fopJiZGL774YhVVCsAdmOkBYFr+/v5auHDhNV9i+FtFRUVq166dxo0b58HKAHgCMz0AAMAUmOkBAACmQOgBAACmQOgBAACmQOgBAACmQOgBAACmQOgBAACmQOgBAACmQOgBAACmQOgBAACmQOgBAACm8P8APZ/c5ZdcREcAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the distribution of prices\n", + "\n", + "prices = [float(item.price) for item in items]\n", + "fig, ax = plt.subplots(1, 1)\n", + "ax.set_xlabel('Price ($)')\n", + "ax.set_ylabel('Count of items');\n", + "_ = ax.hist(prices, rwidth=0.7, color=\"darkblue\", bins=range(0, 1000, 20))\n", + "\n", + "print(f\"Average price is ${sum(prices)/len(prices):.2f} and highest price is ${max(prices):,.2f}\\n\")" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "3718a8e6-6c87-4351-8c27-9e61745b0991", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from collections import Counter\n", + "category_counts = Counter()\n", + "for item in items:\n", + " category_counts[item.category]+=1\n", + "\n", + "categories = category_counts.keys()\n", + "counts = [category_counts[category] for category in categories]\n", + "\n", + "# Create bar chart\n", + "plt.figure(figsize=(15, 6))\n", + "plt.bar(categories, counts, color=\"purple\")\n", + "\n", + "# Customize the chart\n", + "plt.title('How many in each category')\n", + "plt.xlabel('Categories')\n", + "plt.ylabel('Count')\n", + "\n", + "plt.xticks(rotation=30, ha='right')\n", + "\n", + "# Add value labels on top of each bar\n", + "for i, v in enumerate(counts):\n", + " plt.text(i, v, f\"{v:,}\", ha='center', va='bottom')\n", + "\n", + "# Display the chart\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "e741d816-25d8-4372-9caa-d006b85818be", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Minimum: 7\n" + ] + } + ], + "source": [ + "from collections import defaultdict\n", + "slots = defaultdict(list)\n", + "for item in items:\n", + " slots[round(item.price)].append(item)\n", + "\n", + "print(f\"\\nMinimum: {min([len(slot) for slot in slots.values()]):,}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "75541d34-37e9-4e59-bac8-87fd1d147d62", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "408635" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.random.seed(42)\n", + "random.seed(42)\n", + "sample = []\n", + "for i in range(1, 1000):\n", + " slot = slots[i]\n", + " if i>=240:\n", + " sample.extend(slot)\n", + " elif len(slot) <= 1200:\n", + " sample.extend(slot)\n", + " else:\n", + " weights = np.array([1 if item.category=='Automotive' else 5 for item in slot])\n", + " weights = weights / np.sum(weights)\n", + " selected_indices = np.random.choice(len(slot), size=1200, replace=False, p=weights)\n", + " selected = [slot[i] for i in selected_indices]\n", + " sample.extend(selected)\n", + "len(sample)" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "6f56ae0c-c802-436d-be42-6439143b177f", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the distribution of prices\n", + "\n", + "prices = [float(item.price) for item in sample]\n", + "plt.figure(figsize=(15, 6))\n", + "plt.title(f\"Avg {sum(prices)/len(prices):.2f} and highest {max(prices):,.2f}\\n\")\n", + "plt.xlabel('Price ($)')\n", + "plt.ylabel('Count')\n", + "plt.hist(prices, rwidth=0.7, color=\"darkblue\", bins=range(0, 1000, 10))\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "id": "1808ccb1-fe91-4ef1-94bf-ec397302b3e6", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the distribution of prices\n", + "\n", + "prices = [float(item.price) for item in sample]\n", + "plt.figure(figsize=(15, 15))\n", + "plt.title(f\"Avg {sum(prices)/len(prices):.2f} and highest {max(prices):,.2f}\\n\")\n", + "plt.xlabel('Price ($)')\n", + "plt.ylabel('Count')\n", + "plt.hist(prices, rwidth=0.7, color=\"darkblue\", bins=range(0, 1000, 10))\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "a9bdc6d5-3766-4251-81bb-a1bcebe80ce1", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "category_counts = Counter()\n", + "for item in sample:\n", + " category_counts[item.category]+=1\n", + "\n", + "categories = category_counts.keys()\n", + "counts = [category_counts[category] for category in categories]\n", + "\n", + "# Create bar chart\n", + "plt.figure(figsize=(15, 6))\n", + "plt.bar(categories, counts, color=\"lightgreen\")\n", + "\n", + "# Customize the chart\n", + "plt.title('How many in each category')\n", + "plt.xlabel('Categories')\n", + "plt.ylabel('Count')\n", + "\n", + "plt.xticks(rotation=30, ha='right')\n", + "\n", + "# Add value labels on top of each bar\n", + "for i, v in enumerate(counts):\n", + " plt.text(i, v, f\"{v:,}\", ha='center', va='bottom')\n", + "\n", + "# Display the chart\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "8d692349-6814-4b02-aa20-705279ee5295", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "How much does this cost to the nearest dollar?\n", + "\n", + "HP Color LaserJet Enterprise M554dn Duplex Printer\n", + "Expect strong security, fast performance, and energy efficiency with the HP Color LaserJet Enterprise M554dn printer. With the world's most secure printing, this color duplex laser printer features security solutions that help detect and stop attacks while protecting your sensitive business data. Centralize control of your printing environment with HP Web JetAdmin, and help build business efficiency. Get high-speed performance with 25 ppm print speeds, duplex printing, input capacity, all while using exceptionally low amounts of energy with Auto-On/Auto-Off technology. Extend printing reach with optional Wi-Fi® Direct and dual-band Wi-Fi® with Bluetooth® Low Energy. And, help protect your printer and produce sharp blacks, vivid colors, and crisp graphics with Original HP Toner cartridges\n", + "\n", + "Price is $799.00\n", + "[350, 27674, 72833, 271, 7117, 374, 400, 23987, 13, 410]\n", + "[' T', 'oner', ' cartridges', '\\n\\n', 'Price', ' is', ' $', '799', '.', '00']\n" + ] + } + ], + "source": [ + "report(sample[400000])" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "6a28fa68-392a-4d8d-8c72-eeea4615d937", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "category_counts = Counter()\n", + "for item in sample:\n", + " category_counts[item.category]+=1\n", + "\n", + "categories = category_counts.keys()\n", + "counts = [category_counts[category] for category in categories]\n", + "\n", + "plt.figure(figsize=(12, 10))\n", + "plt.pie(counts, labels=categories, autopct='%1.0f%%', startangle=90)\n", + "\n", + "# Add a circle at the center to create a donut chart (optional)\n", + "centre_circle = plt.Circle((0,0), 0.70, fc='white')\n", + "fig = plt.gcf()\n", + "fig.gca().add_artist(centre_circle)\n", + "\n", + "# Customize the chart\n", + "plt.title('Categories')\n", + "\n", + "# Equal aspect ratio ensures that pie is drawn as a circle\n", + "plt.axis('equal') \n", + "\n", + "# Display the chart\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "38d31aa3-8a3a-4626-9c50-f55635ca6d18", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sizes = [len(item.prompt) for item in sample]\n", + "prices = [item.price for item in sample]\n", + "\n", + "# Create the scatter plot\n", + "plt.figure(figsize=(15, 8))\n", + "plt.scatter(sizes, prices, s=0.2, color=\"red\")\n", + "\n", + "# Add labels and title\n", + "plt.xlabel('Size')\n", + "plt.ylabel('Price')\n", + "plt.title('Is there a simple correlation?')\n", + "\n", + "# Display the plot\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "f8cfa1af-aadd-416b-b0f9-2bb5fd4d2263", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the distribution again to check it looks as expected\n", + "\n", + "token_counts = [item.token_count for item in sample]\n", + "fig, ax = plt.subplots(1, 1)\n", + "ax.set_xlabel('Number of tokens')\n", + "ax.set_ylabel('Count of items');\n", + "_ = ax.hist(token_counts, rwidth=0.7, color=\"purple\", bins=range(0, 300, 10))" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "59ef7aef-b6f6-4042-a2af-ddd5ae1c9999", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "How much does this cost to the nearest dollar?\n", + "\n", + "RCF Art 915A Active Speaker\n", + "Power and Portability All in One 2100W 15 Active Speaker with 1.75 Compression Driver Up to 131dB SPL - Black Brand RCF, Model Name ART 915A, Speaker Type Subwoofer, Subwoofer Diameter 15 Inches, Mounting Type Wall Mount, Surround Sound Channel Configuration 2.0, Speaker Maximum Output Power 2100 Watts, Weight 58.8 pounds, Is Waterproof FALSE, Speaker Size 15 Inches, Power Source Corded Electric, Vehicle Service Type Car, Dimensions 30 x 18.7 x 18.5 inches, model number Rank Musical Instruments 22180, Powered Speaker Cabinets 44, Available August 26, 2021, Manufacturer RCF\n", + "\n", + "Price is $999.00\n", + "[35551, 432, 9847, 271, 7117, 374, 400, 5500, 13, 410]\n", + "[' Manufacturer', ' R', 'CF', '\\n\\n', 'Price', ' is', ' $', '999', '.', '00']\n" + ] + } + ], + "source": [ + "report(sample[-2])" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "cacb9059-5f44-4601-860a-30860cebe9c2", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Divided into a training set of 400,000 items and test set of 2,000 items\n" + ] + } + ], + "source": [ + "random.seed(42)\n", + "random.shuffle(sample)\n", + "train = sample[:400_000]\n", + "test = sample[400_000:402_000]\n", + "print(f\"Divided into a training set of {len(train):,} items and test set of {len(test):,} items\")" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "id": "47e7891a-6abc-4b44-9947-f5e9b4021208", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "How much does this cost to the nearest dollar?\n", + "\n", + "Delphi FG0166 Fuel Pump Module\n", + "Delphi brings 80 years of OE Heritage into each Delphi pump, ensuring quality and fitment for each Delphi part. Part is validated, tested and matched to the right vehicle application Delphi brings 80 years of OE Heritage into each Delphi assembly, ensuring quality and fitment for each Delphi part Always be sure to check and clean fuel tank to avoid unnecessary returns Rigorous OE-testing ensures the pump can withstand extreme temperatures Brand Delphi, Fit Type Vehicle Specific Fit, Dimensions LxWxH 19.7 x 7.7 x 5.1 inches, Weight 2.2 Pounds, Auto Part Position Unknown, Operation Mode Mechanical, Manufacturer Delphi, Model FUEL PUMP, Dimensions 19.7\n", + "\n", + "Price is $227.00\n" + ] + } + ], + "source": [ + "print(train[0].prompt)" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "id": "fc5879ac-f5df-4221-8cca-dea23594243e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "How much does this cost to the nearest dollar?\n", + "\n", + "OEM AC Compressor w/A/C Repair Kit For Ford F150 F-150 V8 & Lincoln Mark LT 2007 2008 - BuyAutoParts NEW\n", + "As one of the world's largest automotive parts suppliers, our parts are trusted every day by mechanics and vehicle owners worldwide. This A/C Compressor and Components Kit is manufactured and tested to the strictest OE standards for unparalleled performance. Built for trouble-free ownership and 100% visually inspected and quality tested, this A/C Compressor and Components Kit is backed by our 100% satisfaction guarantee. Guaranteed Exact Fit for easy installation 100% BRAND NEW, premium ISO/TS 16949 quality - tested to meet or exceed OEM specifications Engineered for superior durability, backed by industry-leading unlimited-mileage warranty Included in this K\n", + "\n", + "Price is $\n" + ] + } + ], + "source": [ + "print(test[0].test_prompt())" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "bf435bcd-accf-427c-82d5-02b33a56737c", + "metadata": { + "collapsed": true, + "jupyter": { + "outputs_hidden": true + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the distribution of prices\n", + "\n", + "prices = [float(item.price) for item in test[:250]]\n", + "plt.figure(figsize=(15, 6))\n", + "plt.title(f\"Avg {sum(prices)/len(prices):.2f} and highest {max(prices):,.2f}\\n\")\n", + "plt.xlabel('Price ($)')\n", + "plt.ylabel('Count')\n", + "plt.hist(prices, rwidth=0.7, color=\"darkblue\", bins=range(0, 1000, 10))\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6b26000a-e5a9-4ab7-83fc-8eb44cb12f94", + "metadata": {}, + "outputs": [], + "source": [ + "# del items, slots\n", + "# import gc\n", + "# gc.collect()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3615bfdd-f23e-4005-96d8-7b52a1a439be", + "metadata": {}, + "outputs": [], + "source": [ + "import csv\n", + "with open('test.csv', 'w') as csvfile:\n", + " writer = csv.writer(csvfile)\n", + " for t in test[:200]:\n", + " writer.writerow([t.title, t.details, 0])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cb6907e9-37d7-4283-b1a9-8124f9f3439b", + "metadata": {}, + "outputs": [], + "source": [ + "human_predictions = []\n", + "with open('human.csv', 'r') as csvfile:\n", + " reader = csv.reader(csvfile)\n", + " for row in reader:\n", + " human_predictions.append(float(row[2]))" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "dd7c5db1-4510-4768-bef1-bdac2a7b392f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "220.45738687487398" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "average = sum(t.price for t in train)/len(train)\n", + "average" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "id": "95353e68-07ac-4f57-8d57-dd48cacb0e04", + "metadata": {}, + "outputs": [], + "source": [ + "class TestRunner:\n", + "\n", + " \n", + "\n", + " def __init__(self, predictor, data, title, size=250):\n", + " self.predictor = predictor\n", + " self.data = data\n", + " self.title = title\n", + " self.size = size\n", + " self.guesses = []\n", + " self.truths = []\n", + " self.errors = []\n", + " self.sles = []\n", + " self.colors = []\n", + "\n", + " def color_for(self, error, truth):\n", + " if error<40 or error/truth < 0.2:\n", + " return \"green\"\n", + " elif error<80 or error/truth < 0.4:\n", + " return \"yellow\"\n", + " else:\n", + " return \"red\"\n", + " \n", + " def run_datapoint(self, i):\n", + " datapoint = self.data[i]\n", + " guess = self.predictor(datapoint)\n", + " truth = datapoint.price\n", + " error = abs(guess - truth)\n", + " log_error = math.log(truth+1) - math.log(guess+1)\n", + " sle = log_error ** 2\n", + " color = self.color_for(error, truth)\n", + " title = datapoint.title if len(datapoint.title) <= 40 else datapoint.title[:40]+\"...\"\n", + " self.guesses.append(guess)\n", + " self.truths.append(truth)\n", + " self.errors.append(error)\n", + " self.sles.append(sle)\n", + " self.colors.append(color)\n", + " print(f\"{COLOR_MAP[color]}{i+1}: Guess: ${guess:,.2f} Truth: ${truth:,.2f} Error: ${error:,.2f} SLE: {sle:,.2f} Item: {title}{RESET}\")\n", + "\n", + " def chart(self, title):\n", + " max_error = max(self.errors)\n", + " plt.figure(figsize=(12, 8))\n", + " max_val = max(max(self.truths), max(self.guesses))\n", + " plt.plot([0, max_val], [0, max_val], color='darkblue', lw=2, alpha=0.4)\n", + " plt.scatter(self.truths, self.guesses, s=3, c=self.colors)\n", + " plt.xlabel('Ground Truth')\n", + " plt.ylabel('Model Estimate')\n", + " plt.xlim(0, max_val)\n", + " plt.ylim(0, max_val)\n", + " plt.title(title)\n", + " plt.show()\n", + "\n", + " def report(self):\n", + " average_error = sum(self.errors) / self.size\n", + " rmsle = math.sqrt(sum(self.sles) / self.size)\n", + " hits = sum(1 for color in self.colors if color==\"green\")\n", + " title = f\"{self.title} Error=${average_error:,.2f} RMSLE={rmsle:,.2f} Hits={hits/self.size*100:.1f}%\"\n", + " self.chart(title)\n", + "\n", + " def run(self):\n", + " self.error = 0\n", + " for i in range(self.size):\n", + " self.run_datapoint(i)\n", + " self.report()\n", + " return self" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "id": "e3a8519f-c139-4c72-8d9c-39ccedda2f7b", + "metadata": {}, + "outputs": [], + "source": [ + "train_average = sum(t.price for t in train)/len(train)\n", + "\n", + "def flat_predictor(item):\n", + " return train_average" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "id": "739d2e33-55d4-4892-b42c-771131159c8d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[91m1: Guess: $220.46 Truth: $374.41 Error: $153.95 SLE: 0.28 Item: OEM AC Compressor w/A/C Repair Kit For F...\u001b[0m\n", + "\u001b[92m2: Guess: $220.46 Truth: $225.11 Error: $4.65 SLE: 0.00 Item: Motorcraft YB3125 Fan Clutch\u001b[0m\n", + "\u001b[91m3: Guess: $220.46 Truth: $61.68 Error: $158.78 SLE: 1.59 Item: Dorman 603-159 Front Washer Fluid Reserv...\u001b[0m\n", + "\u001b[91m4: Guess: $220.46 Truth: $599.99 Error: $379.53 SLE: 1.00 Item: HP Premium 17.3-inch HD Plus Touchscreen...\u001b[0m\n", + "\u001b[91m5: Guess: $220.46 Truth: $16.99 Error: $203.47 SLE: 6.30 Item: 5-Position Super Switch Pickup Selector ...\u001b[0m\n", + "\u001b[91m6: Guess: $220.46 Truth: $31.99 Error: $188.47 SLE: 3.63 Item: Horror Bookmarks, Resin Horror Bookmarks...\u001b[0m\n", + "\u001b[91m7: Guess: $220.46 Truth: $101.79 Error: $118.67 SLE: 0.59 Item: SK6241 - Stinger 4 Gauge 6000 Series Pow...\u001b[0m\n", + "\u001b[93m8: Guess: $220.46 Truth: $289.00 Error: $68.54 SLE: 0.07 Item: Godox ML60Bi LED Light Kit, Handheld LED...\u001b[0m\n", + "\u001b[91m9: Guess: $220.46 Truth: $635.86 Error: $415.40 SLE: 1.12 Item: Randall RG75DG3PLUS G3 Plus 100-Watt Com...\u001b[0m\n", + "\u001b[91m10: Guess: $220.46 Truth: $65.99 Error: $154.47 SLE: 1.43 Item: HOLDWILL 6 Pack LED Shop Light, 4FT 24W ...\u001b[0m\n", + "\u001b[92m11: Guess: $220.46 Truth: $254.21 Error: $33.75 SLE: 0.02 Item: Viking Horns V103C/1005ATK 3 Gallon Air ...\u001b[0m\n", + "\u001b[91m12: Guess: $220.46 Truth: $412.99 Error: $192.53 SLE: 0.39 Item: CURT 70110 Custom Tow Bar Base Plate Bra...\u001b[0m\n", + "\u001b[92m13: Guess: $220.46 Truth: $205.50 Error: $14.96 SLE: 0.00 Item: 10-Pack Solar HAMMERED BRONZE Finish Pos...\u001b[0m\n", + "\u001b[92m14: Guess: $220.46 Truth: $248.23 Error: $27.77 SLE: 0.01 Item: COSTWAY Electric Tumble Dryer, Sliver\u001b[0m\n", + "\u001b[91m15: Guess: $220.46 Truth: $399.00 Error: $178.54 SLE: 0.35 Item: FREE SIGNAL TV Transit 32\" 12 Volt DC Po...\u001b[0m\n", + "\u001b[91m16: Guess: $220.46 Truth: $373.94 Error: $153.48 SLE: 0.28 Item: Bilstein 5100 Monotube Gas Shock Set com...\u001b[0m\n", + "\u001b[91m17: Guess: $220.46 Truth: $92.89 Error: $127.57 SLE: 0.74 Item: Sangean K-200 Multi-Function Upright AM/...\u001b[0m\n", + "\u001b[91m18: Guess: $220.46 Truth: $51.99 Error: $168.47 SLE: 2.05 Item: Charles Leonard Magnetic Lapboard Class ...\u001b[0m\n", + "\u001b[93m19: Guess: $220.46 Truth: $179.00 Error: $41.46 SLE: 0.04 Item: Gigabyte AMD Radeon HD 7870 2 GB GDDR5 D...\u001b[0m\n", + "\u001b[91m20: Guess: $220.46 Truth: $19.42 Error: $201.04 SLE: 5.68 Item: 3dRose LLC 8 x 8 x 0.25 Inches Bull Terr...\u001b[0m\n", + "\u001b[91m21: Guess: $220.46 Truth: $539.95 Error: $319.49 SLE: 0.80 Item: ROKINON 85mm F1.4 Auto Focus Full Frame ...\u001b[0m\n", + "\u001b[93m22: Guess: $220.46 Truth: $147.67 Error: $72.79 SLE: 0.16 Item: AUTOSAVER88 Headlight Assembly Compatibl...\u001b[0m\n", + "\u001b[91m23: Guess: $220.46 Truth: $24.99 Error: $195.47 SLE: 4.59 Item: ASI NAUTICAL 2.5 Inches Opera Glasses Bi...\u001b[0m\n", + "\u001b[93m24: Guess: $220.46 Truth: $149.00 Error: $71.46 SLE: 0.15 Item: Behringer TUBE OVERDRIVE TO100 Authentic...\u001b[0m\n", + "\u001b[91m25: Guess: $220.46 Truth: $16.99 Error: $203.47 SLE: 6.30 Item: Fun Express Insect Finger Puppets - 24 f...\u001b[0m\n", + "\u001b[91m26: Guess: $220.46 Truth: $7.99 Error: $212.47 SLE: 10.27 Item: WAFJAMF Roller Stamp Identity Theft Stam...\u001b[0m\n", + "\u001b[92m27: Guess: $220.46 Truth: $199.99 Error: $20.47 SLE: 0.01 Item: Capulina Tiffany Floor Lamp 2-Light 16\" ...\u001b[0m\n", + "\u001b[92m28: Guess: $220.46 Truth: $251.45 Error: $30.99 SLE: 0.02 Item: Apple Watch Series 6 (GPS, 44mm) - Space...\u001b[0m\n", + "\u001b[92m29: Guess: $220.46 Truth: $231.62 Error: $11.16 SLE: 0.00 Item: ICON 01725 Tandem Axle Fender Skirt FS17...\u001b[0m\n", + "\u001b[91m30: Guess: $220.46 Truth: $135.00 Error: $85.46 SLE: 0.24 Item: SanDisk 128GB Ultra (10 Pack) MicroSD Cl...\u001b[0m\n", + "\u001b[93m31: Guess: $220.46 Truth: $356.62 Error: $136.16 SLE: 0.23 Item: Velvac 2020,L,C/Hr,W,E2003,102\",Bk - 715...\u001b[0m\n", + "\u001b[92m32: Guess: $220.46 Truth: $257.99 Error: $37.53 SLE: 0.02 Item: TCMT Passenger Backrest Sissy Bar & Lugg...\u001b[0m\n", + "\u001b[91m33: Guess: $220.46 Truth: $27.99 Error: $192.47 SLE: 4.13 Item: Alnicov 63.5MM Brass Tremolo Block,Tremo...\u001b[0m\n", + "\u001b[93m34: Guess: $220.46 Truth: $171.20 Error: $49.26 SLE: 0.06 Item: Subaru Forester Outback Legacy OEM Engin...\u001b[0m\n", + "\u001b[92m35: Guess: $220.46 Truth: $225.00 Error: $4.54 SLE: 0.00 Item: Richmond Auto Upholstery - 2012 Dodge Ra...\u001b[0m\n", + "\u001b[91m36: Guess: $220.46 Truth: $105.00 Error: $115.46 SLE: 0.54 Item: AP-39 Automotive Paint Primer Grey 2K Ur...\u001b[0m\n", + "\u001b[93m37: Guess: $220.46 Truth: $299.99 Error: $79.53 SLE: 0.09 Item: Road Top Wireless Carplay Retrofit Kit D...\u001b[0m\n", + "\u001b[91m38: Guess: $220.46 Truth: $535.09 Error: $314.63 SLE: 0.78 Item: Gibson Performance Exhaust 5658 Aluminiz...\u001b[0m\n", + "\u001b[91m39: Guess: $220.46 Truth: $12.33 Error: $208.13 SLE: 7.90 Item: Bella Tunno Happy Links - Baby Montessor...\u001b[0m\n", + "\u001b[91m40: Guess: $220.46 Truth: $84.99 Error: $135.47 SLE: 0.89 Item: CANMORE H300 Handheld GPS Golf Device, S...\u001b[0m\n", + "\u001b[91m41: Guess: $220.46 Truth: $15.99 Error: $204.47 SLE: 6.59 Item: DCPOWER AC Adapter Compatible Replacemen...\u001b[0m\n", + "\u001b[91m42: Guess: $220.46 Truth: $62.44 Error: $158.02 SLE: 1.56 Item: Sharp, VX2128V, Commercial Desktop Calcu...\u001b[0m\n", + "\u001b[91m43: Guess: $220.46 Truth: $82.99 Error: $137.47 SLE: 0.94 Item: Melissa & Doug Lifelike Plush Stork Gian...\u001b[0m\n", + "\u001b[91m44: Guess: $220.46 Truth: $599.95 Error: $379.49 SLE: 1.00 Item: Sony SSCS8 2-Way 3-Driver Center Channel...\u001b[0m\n", + "\u001b[92m45: Guess: $220.46 Truth: $194.99 Error: $25.47 SLE: 0.01 Item: ASUS Chromebook CX1, 14\" Full HD NanoEdg...\u001b[0m\n", + "\u001b[93m46: Guess: $220.46 Truth: $344.95 Error: $124.49 SLE: 0.20 Item: FiiO X7 32GB Hi-Res Lossless Music Playe...\u001b[0m\n", + "\u001b[91m47: Guess: $220.46 Truth: $37.99 Error: $182.47 SLE: 3.02 Item: TORRO Leather Case Compatible with iPhon...\u001b[0m\n", + "\u001b[92m48: Guess: $220.46 Truth: $224.35 Error: $3.89 SLE: 0.00 Item: Universal Air Conditioner KT 1031 A/C Co...\u001b[0m\n", + "\u001b[91m49: Guess: $220.46 Truth: $814.00 Error: $593.54 SLE: 1.70 Item: Street Series Stainless Performance Cat-...\u001b[0m\n", + "\u001b[91m50: Guess: $220.46 Truth: $439.88 Error: $219.42 SLE: 0.47 Item: Lenovo IdeaPad 3 14-inch Laptop, 14.0-in...\u001b[0m\n", + "\u001b[93m51: Guess: $220.46 Truth: $341.43 Error: $120.97 SLE: 0.19 Item: Access Bed Covers TonnoSport 22050219 - ...\u001b[0m\n", + "\u001b[91m52: Guess: $220.46 Truth: $46.78 Error: $173.68 SLE: 2.35 Item: G.I. JOE Hasbro 3 3/4\" Wave 5 Action Fig...\u001b[0m\n", + "\u001b[93m53: Guess: $220.46 Truth: $171.44 Error: $49.02 SLE: 0.06 Item: T&S Brass B-0232-BST Double Pantry Fauce...\u001b[0m\n", + "\u001b[91m54: Guess: $220.46 Truth: $458.00 Error: $237.54 SLE: 0.53 Item: ZTUOAUMA Fuel Injection Pump 3090942 309...\u001b[0m\n", + "\u001b[91m55: Guess: $220.46 Truth: $130.75 Error: $89.71 SLE: 0.27 Item: 2AP18AA#ABA Hp Prime Graphing Calculator...\u001b[0m\n", + "\u001b[91m56: Guess: $220.46 Truth: $83.81 Error: $136.65 SLE: 0.92 Item: Lowrance 000-0119-83 Nmea 2000 25' Exten...\u001b[0m\n", + "\u001b[91m57: Guess: $220.46 Truth: $386.39 Error: $165.93 SLE: 0.31 Item: Jeep Genuine Accessories 82213051 Hood L...\u001b[0m\n", + "\u001b[93m58: Guess: $220.46 Truth: $169.00 Error: $51.46 SLE: 0.07 Item: GODOX CB-06 Hard Carrying Case with Whee...\u001b[0m\n", + "\u001b[91m59: Guess: $220.46 Truth: $17.95 Error: $202.51 SLE: 6.04 Item: Au-Tomotive Gold, INC. Ford Black Valet ...\u001b[0m\n", + "\u001b[92m60: Guess: $220.46 Truth: $269.00 Error: $48.54 SLE: 0.04 Item: Snailfly Black Roof Rack Rail + Cross Ba...\u001b[0m\n", + "\u001b[91m61: Guess: $220.46 Truth: $77.77 Error: $142.69 SLE: 1.07 Item: KING SHA Anti Glare LED Track Lighting H...\u001b[0m\n", + "\u001b[91m62: Guess: $220.46 Truth: $88.99 Error: $131.47 SLE: 0.81 Item: APS Compatible with Chevy Silverado 1500...\u001b[0m\n", + "\u001b[93m63: Guess: $220.46 Truth: $364.41 Error: $143.95 SLE: 0.25 Item: Wilwood Engineering 14011291R Brake Cali...\u001b[0m\n", + "\u001b[91m64: Guess: $220.46 Truth: $127.03 Error: $93.43 SLE: 0.30 Item: ACDelco Gold 336-1925A Starter, Remanufa...\u001b[0m\n", + "\u001b[91m65: Guess: $220.46 Truth: $778.95 Error: $558.49 SLE: 1.59 Item: UWS EC10783 69-Inch Matte Black Heavy-Wa...\u001b[0m\n", + "\u001b[92m66: Guess: $220.46 Truth: $206.66 Error: $13.80 SLE: 0.00 Item: Dell Latitude E5440 14in Business Laptop...\u001b[0m\n", + "\u001b[91m67: Guess: $220.46 Truth: $35.94 Error: $184.52 SLE: 3.21 Item: (Plug and Play) Spare Tire Brake Light W...\u001b[0m\n", + "\u001b[93m68: Guess: $220.46 Truth: $149.00 Error: $71.46 SLE: 0.15 Item: The Ultimate Roadside Rescue Assistant\u001b[0m\n", + "\u001b[92m69: Guess: $220.46 Truth: $251.98 Error: $31.52 SLE: 0.02 Item: Brand New 18\" x 8.5\" Replacement Wheel f...\u001b[0m\n", + "\u001b[93m70: Guess: $220.46 Truth: $160.00 Error: $60.46 SLE: 0.10 Item: Headlight Headlamp LH Left & RH Right Pa...\u001b[0m\n", + "\u001b[91m71: Guess: $220.46 Truth: $39.99 Error: $180.47 SLE: 2.85 Item: Lilo And Stitch Deluxe Oversize Print La...\u001b[0m\n", + "\u001b[93m72: Guess: $220.46 Truth: $362.41 Error: $141.95 SLE: 0.25 Item: AC Compressor & A/C Clutch For Hyundai A...\u001b[0m\n", + "\u001b[93m73: Guess: $220.46 Truth: $344.00 Error: $123.54 SLE: 0.20 Item: House Of Troy PIN475-AB Pinnacle Collect...\u001b[0m\n", + "\u001b[91m74: Guess: $220.46 Truth: $25.09 Error: $195.37 SLE: 4.57 Item: Juno T29 WH Floating Electrical Feed Sin...\u001b[0m\n", + "\u001b[93m75: Guess: $220.46 Truth: $175.95 Error: $44.51 SLE: 0.05 Item: Sherman GO-PARTS - for 2013-2016 Toyota ...\u001b[0m\n", + "\u001b[91m76: Guess: $220.46 Truth: $132.64 Error: $87.82 SLE: 0.26 Item: Roland RPU-3 Electronic Keyboard Pedal o...\u001b[0m\n", + "\u001b[91m77: Guess: $220.46 Truth: $422.99 Error: $202.53 SLE: 0.42 Item: Rockland VMI14 12,000 Pound 12 Volt DC E...\u001b[0m\n", + "\u001b[93m78: Guess: $220.46 Truth: $146.48 Error: $73.98 SLE: 0.17 Item: Max Advanced Brakes Elite XDS Front Cros...\u001b[0m\n", + "\u001b[93m79: Guess: $220.46 Truth: $156.83 Error: $63.63 SLE: 0.11 Item: Quality-Built 11030 Premium Quality Alte...\u001b[0m\n", + "\u001b[92m80: Guess: $220.46 Truth: $251.99 Error: $31.53 SLE: 0.02 Item: Lucida LG-510 Student Classical Guitar, ...\u001b[0m\n", + "\u001b[91m81: Guess: $220.46 Truth: $940.33 Error: $719.87 SLE: 2.09 Item: Longacre 52-79800 Aluminum Turn Plates\u001b[0m\n", + "\u001b[91m82: Guess: $220.46 Truth: $52.99 Error: $167.47 SLE: 1.99 Item: Motion Pro 08-0380 Adjustable Torque Wre...\u001b[0m\n", + "\u001b[92m83: Guess: $220.46 Truth: $219.95 Error: $0.51 SLE: 0.00 Item: Glyph Thunderbolt 3 NVMe Dock (0 GB)\u001b[0m\n", + "\u001b[91m84: Guess: $220.46 Truth: $441.03 Error: $220.57 SLE: 0.48 Item: TOYO Open Country MT Performance Radial ...\u001b[0m\n", + "\u001b[93m85: Guess: $220.46 Truth: $168.98 Error: $51.48 SLE: 0.07 Item: Razer Seiren X USB Streaming Microphone ...\u001b[0m\n", + "\u001b[91m86: Guess: $220.46 Truth: $2.49 Error: $217.97 SLE: 17.23 Item: Happy Birthday to Dad From Your Daughter...\u001b[0m\n", + "\u001b[91m87: Guess: $220.46 Truth: $98.62 Error: $121.84 SLE: 0.64 Item: Little Tikes My Real Jam First Concert S...\u001b[0m\n", + "\u001b[92m88: Guess: $220.46 Truth: $256.95 Error: $36.49 SLE: 0.02 Item: Studio M Peace and Harmony Art Pole Comm...\u001b[0m\n", + "\u001b[91m89: Guess: $220.46 Truth: $30.99 Error: $189.47 SLE: 3.74 Item: MyVolts 12V Power Supply Adaptor Compati...\u001b[0m\n", + "\u001b[91m90: Guess: $220.46 Truth: $569.84 Error: $349.38 SLE: 0.90 Item: Dell Latitude 7212 Rugged Extreme Tablet...\u001b[0m\n", + "\u001b[93m91: Guess: $220.46 Truth: $177.99 Error: $42.47 SLE: 0.05 Item: Covermates Contour Fit Car Cover - Light...\u001b[0m\n", + "\u001b[91m92: Guess: $220.46 Truth: $997.99 Error: $777.53 SLE: 2.27 Item: Westin 57-4025 Black HDX Grille Guard fi...\u001b[0m\n", + "\u001b[92m93: Guess: $220.46 Truth: $219.00 Error: $1.46 SLE: 0.00 Item: Fieldpiece JL2 Job Link Wireless App Tra...\u001b[0m\n", + "\u001b[92m94: Guess: $220.46 Truth: $225.55 Error: $5.09 SLE: 0.00 Item: hansgrohe Talis S Modern Premium Easy Cl...\u001b[0m\n", + "\u001b[91m95: Guess: $220.46 Truth: $495.95 Error: $275.49 SLE: 0.65 Item: G-Technology G-SPEED eS PRO High-Perform...\u001b[0m\n", + "\u001b[91m96: Guess: $220.46 Truth: $942.37 Error: $721.91 SLE: 2.10 Item: DreamLine SHDR-1960723L-01 Shower Door, ...\u001b[0m\n", + "\u001b[91m97: Guess: $220.46 Truth: $1.94 Error: $218.52 SLE: 18.68 Item: Sanctuary Square Backplate Finish: Oiled...\u001b[0m\n", + "\u001b[93m98: Guess: $220.46 Truth: $284.34 Error: $63.88 SLE: 0.06 Item: Pelican Protector 1750 Long Case - Multi...\u001b[0m\n", + "\u001b[93m99: Guess: $220.46 Truth: $171.90 Error: $48.56 SLE: 0.06 Item: Brock Replacement Driver and Passenger H...\u001b[0m\n", + "\u001b[93m100: Guess: $220.46 Truth: $144.99 Error: $75.47 SLE: 0.17 Item: Carlinkit Ai Box Mini, Android 11, Multi...\u001b[0m\n", + "\u001b[91m101: Guess: $220.46 Truth: $470.47 Error: $250.01 SLE: 0.57 Item: StarDot NetCamLIVE2 YouTube Live Stream ...\u001b[0m\n", + "\u001b[91m102: Guess: $220.46 Truth: $66.95 Error: $153.51 SLE: 1.40 Item: Atomic Compatible FILXXCAR0016 16x25x5 M...\u001b[0m\n", + "\u001b[91m103: Guess: $220.46 Truth: $117.00 Error: $103.46 SLE: 0.40 Item: Bandai Awakening of S. H. s.h.figuarts s...\u001b[0m\n", + "\u001b[93m104: Guess: $220.46 Truth: $172.14 Error: $48.32 SLE: 0.06 Item: Fit System 62135G Passenger Side Towing ...\u001b[0m\n", + "\u001b[91m105: Guess: $220.46 Truth: $392.74 Error: $172.28 SLE: 0.33 Item: Black Horse Black Aluminum Exceed Runnin...\u001b[0m\n", + "\u001b[91m106: Guess: $220.46 Truth: $16.99 Error: $203.47 SLE: 6.30 Item: Dearsun Twinkle Star Color Night Light P...\u001b[0m\n", + "\u001b[91m107: Guess: $220.46 Truth: $1.34 Error: $219.12 SLE: 20.70 Item: Pokemon - Gallade Spirit Link (83/108) -...\u001b[0m\n", + "\u001b[93m108: Guess: $220.46 Truth: $349.98 Error: $129.52 SLE: 0.21 Item: Ibanez GA34STCE-NT GIO Series Classical ...\u001b[0m\n", + "\u001b[91m109: Guess: $220.46 Truth: $370.71 Error: $150.25 SLE: 0.27 Item: Set 2 Heavy Duty 12-16.5 12x16.5 12 Ply ...\u001b[0m\n", + "\u001b[91m110: Guess: $220.46 Truth: $65.88 Error: $154.58 SLE: 1.43 Item: Hairpin Table Legs 28\" Heavy Duty Hairpi...\u001b[0m\n", + "\u001b[92m111: Guess: $220.46 Truth: $229.99 Error: $9.53 SLE: 0.00 Item: Marada Racing Seat with Adjustable Slide...\u001b[0m\n", + "\u001b[91m112: Guess: $220.46 Truth: $9.14 Error: $211.32 SLE: 9.51 Item: Remington Industries 24UL1007STRWHI25 24...\u001b[0m\n", + "\u001b[92m113: Guess: $220.46 Truth: $199.00 Error: $21.46 SLE: 0.01 Item: Acer S3-391-6046 13.3-inch Ultrabook, In...\u001b[0m\n", + "\u001b[91m114: Guess: $220.46 Truth: $109.99 Error: $110.47 SLE: 0.48 Item: ICBEAMER 7\" RGB LED Headlights Bulb Halo...\u001b[0m\n", + "\u001b[91m115: Guess: $220.46 Truth: $570.42 Error: $349.96 SLE: 0.90 Item: R1 Concepts Front Rear Brakes and Rotors...\u001b[0m\n", + "\u001b[93m116: Guess: $220.46 Truth: $279.99 Error: $59.53 SLE: 0.06 Item: Camplux 2.64 GPM Tankless , Outdoor Port...\u001b[0m\n", + "\u001b[91m117: Guess: $220.46 Truth: $30.99 Error: $189.47 SLE: 3.74 Item: KNOKLOCK 10 Pack 3.75 Inch(96mm) Kitchen...\u001b[0m\n", + "\u001b[91m118: Guess: $220.46 Truth: $31.99 Error: $188.47 SLE: 3.63 Item: Valley Enterprises Yaesu USB FTDI CT-62 ...\u001b[0m\n", + "\u001b[91m119: Guess: $220.46 Truth: $15.90 Error: $204.56 SLE: 6.62 Item: G9 LED Light Bulbs,8W,75W 100W replaceme...\u001b[0m\n", + "\u001b[91m120: Guess: $220.46 Truth: $45.99 Error: $174.47 SLE: 2.40 Item: ZCHAOZ 4 Lights Antique White Farmhouse ...\u001b[0m\n", + "\u001b[91m121: Guess: $220.46 Truth: $113.52 Error: $106.94 SLE: 0.43 Item: Honeywell TH8320R1003 Honeywell VisionPr...\u001b[0m\n", + "\u001b[91m122: Guess: $220.46 Truth: $516.99 Error: $296.53 SLE: 0.72 Item: Patriot Exhaust H8013-1 1-7/8\" Clippster...\u001b[0m\n", + "\u001b[92m123: Guess: $220.46 Truth: $196.99 Error: $23.47 SLE: 0.01 Item: Fitrite Autopart New Front Left Driver S...\u001b[0m\n", + "\u001b[91m124: Guess: $220.46 Truth: $46.55 Error: $173.91 SLE: 2.37 Item: Technical Precision Replacement for GE G...\u001b[0m\n", + "\u001b[93m125: Guess: $220.46 Truth: $356.99 Error: $136.53 SLE: 0.23 Item: Covercraft Carhartt SeatSaver Front Row ...\u001b[0m\n", + "\u001b[93m126: Guess: $220.46 Truth: $319.95 Error: $99.49 SLE: 0.14 Item: Sennheiser SD Pro 2 (506008) - Double-Si...\u001b[0m\n", + "\u001b[91m127: Guess: $220.46 Truth: $96.06 Error: $124.40 SLE: 0.68 Item: Hitachi MAF0110 Mass Air Flow Sensor\u001b[0m\n", + "\u001b[92m128: Guess: $220.46 Truth: $190.99 Error: $29.47 SLE: 0.02 Item: AmScope SE305R-P-LED-PS36A 10X-30X LED C...\u001b[0m\n", + "\u001b[92m129: Guess: $220.46 Truth: $257.95 Error: $37.49 SLE: 0.02 Item: Front Left Driver Side Window Regulator ...\u001b[0m\n", + "\u001b[91m130: Guess: $220.46 Truth: $62.95 Error: $157.51 SLE: 1.54 Item: Premium Replica Hubcap Set, Fits Nissan ...\u001b[0m\n", + "\u001b[91m131: Guess: $220.46 Truth: $47.66 Error: $172.80 SLE: 2.30 Item: Excellerations Phonics Spelling Game for...\u001b[0m\n", + "\u001b[92m132: Guess: $220.46 Truth: $226.99 Error: $6.53 SLE: 0.00 Item: RC4WD BigDog Dual Axle Scale Car/Truck T...\u001b[0m\n", + "\u001b[93m133: Guess: $220.46 Truth: $359.95 Error: $139.49 SLE: 0.24 Item: Unknown Stage 2 Clutch Kit - Low Altitud...\u001b[0m\n", + "\u001b[91m134: Guess: $220.46 Truth: $78.40 Error: $142.06 SLE: 1.05 Item: 2002-2008 Dodge Ram 1500 Mopar 4X4 Emble...\u001b[0m\n", + "\u001b[93m135: Guess: $220.46 Truth: $172.77 Error: $47.69 SLE: 0.06 Item: Pro Comp Alloys Series 89 Wheel with Pol...\u001b[0m\n", + "\u001b[93m136: Guess: $220.46 Truth: $316.45 Error: $95.99 SLE: 0.13 Item: Detroit Axle - Front Rear Strut & Coil S...\u001b[0m\n", + "\u001b[91m137: Guess: $220.46 Truth: $87.99 Error: $132.47 SLE: 0.83 Item: ECCPP Rear Wheel Axle Replacement fit fo...\u001b[0m\n", + "\u001b[92m138: Guess: $220.46 Truth: $226.63 Error: $6.17 SLE: 0.00 Item: Dell Latitude E6520 Intel i7-2720QM 2.20...\u001b[0m\n", + "\u001b[91m139: Guess: $220.46 Truth: $31.49 Error: $188.97 SLE: 3.68 Item: F FIERCE CYCLE 251pcs Black Universal Mo...\u001b[0m\n", + "\u001b[92m140: Guess: $220.46 Truth: $196.00 Error: $24.46 SLE: 0.01 Item: Flash Furniture 4 Pk. HERCULES Series 88...\u001b[0m\n", + "\u001b[91m141: Guess: $220.46 Truth: $78.40 Error: $142.06 SLE: 1.05 Item: B&M 30287 Throttle Valve/Kickdown Cable,...\u001b[0m\n", + "\u001b[91m142: Guess: $220.46 Truth: $116.25 Error: $104.21 SLE: 0.40 Item: Gates TCK226 PowerGrip Premium Timing Be...\u001b[0m\n", + "\u001b[91m143: Guess: $220.46 Truth: $112.78 Error: $107.68 SLE: 0.44 Item: Monroe Shocks & Struts Quick-Strut 17149...\u001b[0m\n", + "\u001b[91m144: Guess: $220.46 Truth: $27.32 Error: $193.14 SLE: 4.23 Item: Feit Electric BPMR16/GU10/930CA/6 35W EQ...\u001b[0m\n", + "\u001b[93m145: Guess: $220.46 Truth: $145.91 Error: $74.55 SLE: 0.17 Item: Yellow Jacket 2806 Contractor Extension ...\u001b[0m\n", + "\u001b[93m146: Guess: $220.46 Truth: $171.09 Error: $49.37 SLE: 0.06 Item: Garage-Pro Tailgate SET Compatible with ...\u001b[0m\n", + "\u001b[93m147: Guess: $220.46 Truth: $167.95 Error: $52.51 SLE: 0.07 Item: 3M Perfect It Buffing and Polishing Kit ...\u001b[0m\n", + "\u001b[91m148: Guess: $220.46 Truth: $28.49 Error: $191.97 SLE: 4.06 Item: Chinese Style Dollhouse Model DIY Miniat...\u001b[0m\n", + "\u001b[91m149: Guess: $220.46 Truth: $122.23 Error: $98.23 SLE: 0.34 Item: Generic NRG Innovations SRK-161H Steerin...\u001b[0m\n", + "\u001b[91m150: Guess: $220.46 Truth: $32.99 Error: $187.47 SLE: 3.51 Item: Learning Resources Coding Critters Range...\u001b[0m\n", + "\u001b[91m151: Guess: $220.46 Truth: $71.20 Error: $149.26 SLE: 1.26 Item: Bosch Automotive 15463 Oxygen Sensor, OE...\u001b[0m\n", + "\u001b[91m152: Guess: $220.46 Truth: $112.75 Error: $107.71 SLE: 0.44 Item: Case of 24-2 Inch Blue Painters Tape - 6...\u001b[0m\n", + "\u001b[93m153: Guess: $220.46 Truth: $142.43 Error: $78.03 SLE: 0.19 Item: MOCA Engine Water Pump & Fan Clutch fit ...\u001b[0m\n", + "\u001b[91m154: Guess: $220.46 Truth: $398.99 Error: $178.53 SLE: 0.35 Item: SAREMAS Foot Step Bars for Hyundai Palis...\u001b[0m\n", + "\u001b[91m155: Guess: $220.46 Truth: $449.00 Error: $228.54 SLE: 0.50 Item: Gretsch G9210 Square Neck Boxcar Mahogan...\u001b[0m\n", + "\u001b[92m156: Guess: $220.46 Truth: $189.00 Error: $31.46 SLE: 0.02 Item: NikoMaku Mirror Dash Cam Front and Rear ...\u001b[0m\n", + "\u001b[91m157: Guess: $220.46 Truth: $120.91 Error: $99.55 SLE: 0.36 Item: Fenix HP25R v2.0 USB-C Rechargeable Head...\u001b[0m\n", + "\u001b[92m158: Guess: $220.46 Truth: $203.53 Error: $16.93 SLE: 0.01 Item: R&L Racing Heavy Duty Roll-Up Soft Tonne...\u001b[0m\n", + "\u001b[93m159: Guess: $220.46 Truth: $349.99 Error: $129.53 SLE: 0.21 Item: Garmin 010-02258-10 GPSMAP 64sx, Handhel...\u001b[0m\n", + "\u001b[91m160: Guess: $220.46 Truth: $34.35 Error: $186.11 SLE: 3.37 Item: Brown 5-7/8\" X 8-1/2\" X 3/16\" Thick Heav...\u001b[0m\n", + "\u001b[91m161: Guess: $220.46 Truth: $384.99 Error: $164.53 SLE: 0.31 Item: GAOMON PD2200 Pen Display & 20 Pen Nibs ...\u001b[0m\n", + "\u001b[92m162: Guess: $220.46 Truth: $211.00 Error: $9.46 SLE: 0.00 Item: VXMOTOR for 97-03 Ford F150/F250 Lightdu...\u001b[0m\n", + "\u001b[91m163: Guess: $220.46 Truth: $129.00 Error: $91.46 SLE: 0.28 Item: HP EliteBook 2540p Intel Core i7-640LM X...\u001b[0m\n", + "\u001b[91m164: Guess: $220.46 Truth: $111.45 Error: $109.01 SLE: 0.46 Item: Green EPX Mixing Nozzles 100-Pack-fits 3...\u001b[0m\n", + "\u001b[91m165: Guess: $220.46 Truth: $81.12 Error: $139.34 SLE: 0.98 Item: Box Partners 6 1/4 x 3 1/8\" 13 Pt. Manil...\u001b[0m\n", + "\u001b[91m166: Guess: $220.46 Truth: $457.08 Error: $236.62 SLE: 0.53 Item: Vixen Air 1/2\" NPT Air Ride Suspension H...\u001b[0m\n", + "\u001b[91m167: Guess: $220.46 Truth: $49.49 Error: $170.97 SLE: 2.19 Item: Smart Floor Lamp, 2700-6500K+RGBPink Mul...\u001b[0m\n", + "\u001b[91m168: Guess: $220.46 Truth: $80.56 Error: $139.90 SLE: 1.00 Item: SOZG 324mm Wheelbase Body Shell RC Car B...\u001b[0m\n", + "\u001b[93m169: Guess: $220.46 Truth: $278.39 Error: $57.93 SLE: 0.05 Item: Mickey Thompson ET Street S/S Racing Rad...\u001b[0m\n", + "\u001b[93m170: Guess: $220.46 Truth: $364.50 Error: $144.04 SLE: 0.25 Item: Pirelli 275/40R20 106W XL RFT P0 PZ4-LUX...\u001b[0m\n", + "\u001b[91m171: Guess: $220.46 Truth: $378.99 Error: $158.53 SLE: 0.29 Item: Torklift C3212 Rear Tie Down\u001b[0m\n", + "\u001b[93m172: Guess: $220.46 Truth: $165.28 Error: $55.18 SLE: 0.08 Item: Cardone 78-4226 Remanufactured Ford Comp...\u001b[0m\n", + "\u001b[91m173: Guess: $220.46 Truth: $56.74 Error: $163.72 SLE: 1.81 Item: Kidde AccessPoint 001798 Supra TouchPoin...\u001b[0m\n", + "\u001b[93m174: Guess: $220.46 Truth: $307.95 Error: $87.49 SLE: 0.11 Item: 3M Protecta 3100414 Self Retracting Life...\u001b[0m\n", + "\u001b[91m175: Guess: $220.46 Truth: $38.00 Error: $182.46 SLE: 3.02 Item: Plantronics 89435-01 Wired Headset, Blac...\u001b[0m\n", + "\u001b[91m176: Guess: $220.46 Truth: $53.00 Error: $167.46 SLE: 1.99 Item: Logitech K750 Wireless Solar Keyboard fo...\u001b[0m\n", + "\u001b[91m177: Guess: $220.46 Truth: $498.00 Error: $277.54 SLE: 0.66 Item: Olympus PEN E-PL9 Body Only with 3-Inch ...\u001b[0m\n", + "\u001b[91m178: Guess: $220.46 Truth: $53.99 Error: $166.47 SLE: 1.94 Item: Beck/Arnley 051-6066 Hub & Bearing Assem...\u001b[0m\n", + "\u001b[93m179: Guess: $220.46 Truth: $350.00 Error: $129.54 SLE: 0.21 Item: Eibach Pro-Kit Performance Springs E10-6...\u001b[0m\n", + "\u001b[93m180: Guess: $220.46 Truth: $299.95 Error: $79.49 SLE: 0.09 Item: LEGO DC Batman 1989 Batwing 76161 Displa...\u001b[0m\n", + "\u001b[91m181: Guess: $220.46 Truth: $94.93 Error: $125.53 SLE: 0.70 Item: Kingston Brass KS3608PL Restoration 4-In...\u001b[0m\n", + "\u001b[91m182: Guess: $220.46 Truth: $379.00 Error: $158.54 SLE: 0.29 Item: Polk Vanishing Series 265-LS In-Wall 3-W...\u001b[0m\n", + "\u001b[93m183: Guess: $220.46 Truth: $299.95 Error: $79.49 SLE: 0.09 Item: Spec-D Tuning LED Projector Headlights G...\u001b[0m\n", + "\u001b[91m184: Guess: $220.46 Truth: $24.99 Error: $195.47 SLE: 4.59 Item: RICHMOND & FINCH Airpod Pro Case, Green ...\u001b[0m\n", + "\u001b[91m185: Guess: $220.46 Truth: $41.04 Error: $179.42 SLE: 2.76 Item: LFA Industries 43B-5A-33JT 1/16-1/2-1.5-...\u001b[0m\n", + "\u001b[93m186: Guess: $220.46 Truth: $327.90 Error: $107.44 SLE: 0.16 Item: SAUTVS LED Headlight Assembly for Slings...\u001b[0m\n", + "\u001b[91m187: Guess: $220.46 Truth: $10.99 Error: $209.47 SLE: 8.50 Item: 2 Pack Combo Womens Safety Glasses Impac...\u001b[0m\n", + "\u001b[91m188: Guess: $220.46 Truth: $14.99 Error: $205.47 SLE: 6.91 Item: Arepa - Venezuelan cuisine - Venezuela P...\u001b[0m\n", + "\u001b[91m189: Guess: $220.46 Truth: $84.95 Error: $135.51 SLE: 0.90 Item: Schlage Lock Company KS23D2300 Padlock, ...\u001b[0m\n", + "\u001b[91m190: Guess: $220.46 Truth: $111.00 Error: $109.46 SLE: 0.46 Item: Techni Mobili White Sit to Stand Mobile ...\u001b[0m\n", + "\u001b[91m191: Guess: $220.46 Truth: $123.73 Error: $96.73 SLE: 0.33 Item: Special Lite Products Contemporary Wall ...\u001b[0m\n", + "\u001b[91m192: Guess: $220.46 Truth: $557.38 Error: $336.92 SLE: 0.86 Item: Tascam DP-24SD 24-Track Digital Portastu...\u001b[0m\n", + "\u001b[91m193: Guess: $220.46 Truth: $95.55 Error: $124.91 SLE: 0.69 Item: Glow Lighting 636CC10SP Vista Crystal Fl...\u001b[0m\n", + "\u001b[93m194: Guess: $220.46 Truth: $154.00 Error: $66.46 SLE: 0.13 Item: Z3 Wind Deflector, Smoke Tint, Lexan, Wi...\u001b[0m\n", + "\u001b[92m195: Guess: $220.46 Truth: $198.99 Error: $21.47 SLE: 0.01 Item: Olympus E-20 5MP Digital Camera w/ 4x Op...\u001b[0m\n", + "\u001b[91m196: Guess: $220.46 Truth: $430.44 Error: $209.98 SLE: 0.44 Item: PHYNEDI 1:1000 World Trade Center (1973-...\u001b[0m\n", + "\u001b[91m197: Guess: $220.46 Truth: $45.67 Error: $174.79 SLE: 2.42 Item: YANGHUAN Unstable Unicorns Adventure Car...\u001b[0m\n", + "\u001b[92m198: Guess: $220.46 Truth: $249.00 Error: $28.54 SLE: 0.01 Item: Interlogix NX-1820E NetworX Touch Screen...\u001b[0m\n", + "\u001b[91m199: Guess: $220.46 Truth: $42.99 Error: $177.47 SLE: 2.61 Item: Steering Damper,Universal Motorcycle Han...\u001b[0m\n", + "\u001b[92m200: Guess: $220.46 Truth: $181.33 Error: $39.13 SLE: 0.04 Item: Amprobe TIC 410A Hot Stick Attachment\u001b[0m\n", + "\u001b[91m201: Guess: $220.46 Truth: $6.03 Error: $214.43 SLE: 11.90 Item: MyCableMart 3.5mm Plug/Jack, 4 Conductor...\u001b[0m\n", + "\u001b[91m202: Guess: $220.46 Truth: $29.99 Error: $190.47 SLE: 3.87 Item: OtterBox + Pop Symmetry Series Case for ...\u001b[0m\n", + "\u001b[91m203: Guess: $220.46 Truth: $899.00 Error: $678.54 SLE: 1.97 Item: Dell XPS X8700-1572BLK Desktop ( Intel C...\u001b[0m\n", + "\u001b[91m204: Guess: $220.46 Truth: $399.99 Error: $179.53 SLE: 0.35 Item: Franklin Iron Works Sperry Industrial Br...\u001b[0m\n", + "\u001b[91m205: Guess: $220.46 Truth: $4.66 Error: $215.80 SLE: 13.45 Item: Avery Legal Dividers, Standard Collated ...\u001b[0m\n", + "\u001b[92m206: Guess: $220.46 Truth: $261.41 Error: $40.95 SLE: 0.03 Item: Moen 8346 Commercial Posi-Temp Pressure ...\u001b[0m\n", + "\u001b[91m207: Guess: $220.46 Truth: $136.97 Error: $83.49 SLE: 0.22 Item: Carlisle Versa Trail ATR All Terrain Rad...\u001b[0m\n", + "\u001b[91m208: Guess: $220.46 Truth: $79.00 Error: $141.46 SLE: 1.04 Item: SUNWAYFOTO 44mm Tripod Ball Head Arca Co...\u001b[0m\n", + "\u001b[91m209: Guess: $220.46 Truth: $444.99 Error: $224.53 SLE: 0.49 Item: NanoBeam AC NBE-5AC-Gen2-US 4 Units 5GHz...\u001b[0m\n", + "\u001b[91m210: Guess: $220.46 Truth: $411.94 Error: $191.48 SLE: 0.39 Item: WULF 4\" Front 2\" Rear Leveling Lift Kit ...\u001b[0m\n", + "\u001b[93m211: Guess: $220.46 Truth: $148.40 Error: $72.06 SLE: 0.15 Item: Alera ALEVABFMC Valencia Series Mobile B...\u001b[0m\n", + "\u001b[92m212: Guess: $220.46 Truth: $244.99 Error: $24.53 SLE: 0.01 Item: YU-GI-OH! Ignition Assault Booster Box\u001b[0m\n", + "\u001b[91m213: Guess: $220.46 Truth: $86.50 Error: $133.96 SLE: 0.86 Item: 48\" x 36\" Extra-Large Framed Magnetic Bl...\u001b[0m\n", + "\u001b[93m214: Guess: $220.46 Truth: $297.95 Error: $77.49 SLE: 0.09 Item: Dell Latitude D620 Renewed Notebook PC\u001b[0m\n", + "\u001b[91m215: Guess: $220.46 Truth: $399.99 Error: $179.53 SLE: 0.35 Item: acer Aspire 5 Laptop, AMD Ryzen 3 5300U ...\u001b[0m\n", + "\u001b[91m216: Guess: $220.46 Truth: $599.00 Error: $378.54 SLE: 0.99 Item: Elk 31080/6RC-GRN 30 by 6-Inch Viva 6-Li...\u001b[0m\n", + "\u001b[91m217: Guess: $220.46 Truth: $105.99 Error: $114.47 SLE: 0.53 Item: Barbie Top Model Doll\u001b[0m\n", + "\u001b[91m218: Guess: $220.46 Truth: $689.00 Error: $468.54 SLE: 1.29 Item: Danby Designer 20-In. Electric Range wit...\u001b[0m\n", + "\u001b[91m219: Guess: $220.46 Truth: $404.99 Error: $184.53 SLE: 0.37 Item: FixtureDisplays® Metal Truss Podium Doub...\u001b[0m\n", + "\u001b[92m220: Guess: $220.46 Truth: $207.76 Error: $12.70 SLE: 0.00 Item: ACDelco 13597235 GM Original Equipment A...\u001b[0m\n", + "\u001b[93m221: Guess: $220.46 Truth: $171.82 Error: $48.64 SLE: 0.06 Item: EBC S1KF1135 Stage-1 Premium Street Brak...\u001b[0m\n", + "\u001b[93m222: Guess: $220.46 Truth: $293.24 Error: $72.78 SLE: 0.08 Item: FXR Men's Boost FX Jacket (Black/Orange/...\u001b[0m\n", + "\u001b[91m223: Guess: $220.46 Truth: $374.95 Error: $154.49 SLE: 0.28 Item: SuperATV Scratch Resistant 3-in-1 Flip W...\u001b[0m\n", + "\u001b[91m224: Guess: $220.46 Truth: $111.99 Error: $108.47 SLE: 0.45 Item: SBU 3 Layer All Weather Mini Van Car Cov...\u001b[0m\n", + "\u001b[91m225: Guess: $220.46 Truth: $42.99 Error: $177.47 SLE: 2.61 Item: 2 Pack Outdoor Brochure Holder Advertisi...\u001b[0m\n", + "\u001b[91m226: Guess: $220.46 Truth: $116.71 Error: $103.75 SLE: 0.40 Item: Monroe Shocks & Struts Quick-Strut 17158...\u001b[0m\n", + "\u001b[91m227: Guess: $220.46 Truth: $118.61 Error: $101.85 SLE: 0.38 Item: Elements of Design Magellan EB235AL Thre...\u001b[0m\n", + "\u001b[93m228: Guess: $220.46 Truth: $147.12 Error: $73.34 SLE: 0.16 Item: GM Genuine Parts 15-62961 Air Conditioni...\u001b[0m\n", + "\u001b[91m229: Guess: $220.46 Truth: $119.99 Error: $100.47 SLE: 0.37 Item: Baseus 17-in-1 USB C Docking Station to ...\u001b[0m\n", + "\u001b[91m230: Guess: $220.46 Truth: $369.98 Error: $149.52 SLE: 0.27 Item: Whitehall™ Personalized Whitehall Capito...\u001b[0m\n", + "\u001b[93m231: Guess: $220.46 Truth: $315.55 Error: $95.09 SLE: 0.13 Item: Pro Circuit Works Pipe PY05250 for 02-19...\u001b[0m\n", + "\u001b[92m232: Guess: $220.46 Truth: $190.99 Error: $29.47 SLE: 0.02 Item: HYANKA 15 \"1200W Professional DJ Speaker...\u001b[0m\n", + "\u001b[93m233: Guess: $220.46 Truth: $155.00 Error: $65.46 SLE: 0.12 Item: Bluetooth X6BT Card Reader Writer Encode...\u001b[0m\n", + "\u001b[93m234: Guess: $220.46 Truth: $349.99 Error: $129.53 SLE: 0.21 Item: AIRAID Cold Air Intake System by K&N: In...\u001b[0m\n", + "\u001b[92m235: Guess: $220.46 Truth: $249.99 Error: $29.53 SLE: 0.02 Item: Bostingner Shower Faucets Sets Complete,...\u001b[0m\n", + "\u001b[91m236: Guess: $220.46 Truth: $42.99 Error: $177.47 SLE: 2.61 Item: PIT66 Front Bumper Turn Signal Lights, C...\u001b[0m\n", + "\u001b[91m237: Guess: $220.46 Truth: $17.99 Error: $202.47 SLE: 6.03 Item: Caseology Bumpy Compatible with Google P...\u001b[0m\n", + "\u001b[91m238: Guess: $220.46 Truth: $425.00 Error: $204.54 SLE: 0.43 Item: Fleck 2510 Timer Mechanical Filter Contr...\u001b[0m\n", + "\u001b[92m239: Guess: $220.46 Truth: $249.99 Error: $29.53 SLE: 0.02 Item: Haloview MC7108 Wireless RV Backup Camer...\u001b[0m\n", + "\u001b[91m240: Guess: $220.46 Truth: $138.23 Error: $82.23 SLE: 0.22 Item: Schmidt Spiele - Manhattan\u001b[0m\n", + "\u001b[91m241: Guess: $220.46 Truth: $414.99 Error: $194.53 SLE: 0.40 Item: Corsa 14333 Tip Kit (Ford Mustang GT)\u001b[0m\n", + "\u001b[93m242: Guess: $220.46 Truth: $168.28 Error: $52.18 SLE: 0.07 Item: Hoshizaki FM116A Fan Motor Kit 1\u001b[0m\n", + "\u001b[92m243: Guess: $220.46 Truth: $199.99 Error: $20.47 SLE: 0.01 Item: BAINUO Antler Chandelier Lighting,6 Ligh...\u001b[0m\n", + "\u001b[91m244: Guess: $220.46 Truth: $126.70 Error: $93.76 SLE: 0.30 Item: DNA MOTORING HL-OH-FEXP06-SM-AM Smoke Le...\u001b[0m\n", + "\u001b[91m245: Guess: $220.46 Truth: $5.91 Error: $214.55 SLE: 12.02 Item: Wera Stainless 3840/1 TS 2.5mm Hex Inser...\u001b[0m\n", + "\u001b[92m246: Guess: $220.46 Truth: $193.06 Error: $27.40 SLE: 0.02 Item: Celestron - PowerSeeker 127EQ Telescope ...\u001b[0m\n", + "\u001b[92m247: Guess: $220.46 Truth: $249.99 Error: $29.53 SLE: 0.02 Item: NHOPEEW 10.1inch Android Car Radio Carpl...\u001b[0m\n", + "\u001b[91m248: Guess: $220.46 Truth: $64.12 Error: $156.34 SLE: 1.50 Item: Other Harmonica (Suzuki-2Timer24- A)\u001b[0m\n", + "\u001b[91m249: Guess: $220.46 Truth: $114.99 Error: $105.47 SLE: 0.42 Item: Harley Air Filter Venturi Intake Air Cle...\u001b[0m\n", + "\u001b[91m250: Guess: $220.46 Truth: $926.00 Error: $705.54 SLE: 2.05 Item: Elite Screens Edge Free Ambient Light Re...\u001b[0m\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "flat = TestRunner(flat_predictor, test, \"Flat Predictor\").run()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9d3a5d83-d90b-40af-979f-85aa21816578", + "metadata": {}, + "outputs": [], + "source": [ + "human_predictions = []\n", + "with open('human.csv', 'r') as csvfile:\n", + " reader = csv.reader(csvfile)\n", + " for row in reader:\n", + " human_predictions.append(float(row[2]))\n", + "\n", + "def human_predictor(item):\n", + " index = test.index(item)\n", + " if index==-1:\n", + " raise ValueError(\"Index not found\")\n", + " return human_predictions[index]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6c87c385-d6b7-4a4f-89eb-f4e250337d03", + "metadata": {}, + "outputs": [], + "source": [ + "runner = TestRunner(human_predictor, test, \"Human Predictor\").run()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d6a6c4a5-e817-46b8-99d2-9c4ecf9c8685", + "metadata": {}, + "outputs": [], + "source": [ + "stop = set(['the', 'and', 'for', 'is', 'to', 'this', 'with', 'a', 'of', 'your', 'are', 'in','from', 'you', 'or', 'an', 'on', 'by'])\n", + "\n", + "def words(item):\n", + " text = f\"{item.title} {item.details}\"\n", + " text = re.sub(r'[\\(\\)\\[\\]\\{\\},\\'\"\\- \\s]+', ' ', text)\n", + " words = text.strip().lower().split(' ')\n", + " filtered = [word for word in words if word not in stop]\n", + " return \" \".join(filtered)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "56682e9c-46c9-48f2-baea-e943804290f6", + "metadata": {}, + "outputs": [], + "source": [ + "documents = [words(item) for item in train]\n", + "from collections import Counter\n", + "count = Counter()\n", + "for doc in documents:\n", + " ws = doc.split(\" \")\n", + " for w in ws:\n", + " count[w]+=1\n", + "count.most_common(30)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "262fc576-7606-426c-8aea-5799b3952d2c", + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.feature_extraction.text import CountVectorizer\n", + "from sklearn.linear_model import LinearRegression\n", + "import numpy as np\n", + "\n", + "np.random.seed(42)\n", + "\n", + "labels = np.array([float(item.price) for item in train])\n", + "\n", + "vectorizer = CountVectorizer()\n", + "X = vectorizer.fit_transform(documents)\n", + "\n", + "regressor = LinearRegression()\n", + "regressor.fit(X, labels)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bd782b21-8e44-409d-a7b6-f136974958b4", + "metadata": {}, + "outputs": [], + "source": [ + "def linear_regression_predictor(item):\n", + " np.random.seed(42)\n", + " x = vectorizer.transform([words(item)])\n", + " return max(regressor.predict(x)[0], 0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "80e77aae-0071-42e9-8e24-d3aec5256015", + "metadata": {}, + "outputs": [], + "source": [ + "runner1 = TestRunner(linear_regression_predictor, test, \"Linear Regression\").run()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a70d16ce-bdf1-4071-8c5a-5bddc2aa37e4", + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.feature_extraction.text import TfidfVectorizer\n", + "from sklearn.svm import SVR\n", + "\n", + "np.random.seed(42)\n", + "\n", + "labels = np.array([float(item.price) for item in train])\n", + "\n", + "vectorizer = TfidfVectorizer(max_features=20)\n", + "X = vectorizer.fit_transform(documents)\n", + "\n", + "regressor = SVR(kernel='linear')\n", + "regressor.fit(X, labels)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "64560112-3bfb-45cc-b489-de619a2eca20", + "metadata": {}, + "outputs": [], + "source": [ + "def svr_predictor(item):\n", + " np.random.seed(42)\n", + " x = vectorizer.transform([words(item)])\n", + " return max(regressor.predict(x)[0], 0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "392598d4-2deb-4935-9175-fd111616b13c", + "metadata": {}, + "outputs": [], + "source": [ + "runner2 = TestRunner(svr_predictor, test, \"SVR Accuracy\").run()" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "60010699-d26b-4f93-a959-50272ada6a57", + "metadata": {}, + "outputs": [], + "source": [ + "def messages_for(item):\n", + " system_message = \"You estimate prices of items. Reply only with the price, no explanation\"\n", + " user_prompt = item.test_prompt().replace(\" to the nearest dollar\",\"\")\n", + " return [\n", + " {\"role\": \"system\", \"content\": system_message},\n", + " {\"role\": \"user\", \"content\": user_prompt}\n", + " ]" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "2d5c1a62-9c6e-4c1c-b051-95a78e6e32a7", + "metadata": {}, + "outputs": [], + "source": [ + "def get_price(s):\n", + " s = s.replace('$','').replace(',','')\n", + " match = re.search(r\"[-+]?\\d*\\.\\d+|\\d+\", s)\n", + " return float(match.group()) if match else 0" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "9c845d34-1c73-4636-a6ec-cc6666bb39fa", + "metadata": {}, + "outputs": [], + "source": [ + "def gpt_predictor(item):\n", + " response = openai.chat.completions.create(\n", + " model=OPENAI_MODEL, #\"gpt-4o-2024-08-06\", \n", + " messages=messages_for(item),\n", + " seed=42,\n", + " max_tokens=6\n", + " )\n", + " reply = response.choices[0].message.content\n", + " return get_price(reply)" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "id": "1b3eb3ef-90a8-4642-b503-c22e72c457f5", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[91m1: Guess: $274.99 Truth: $374.41 Error: $99.42 SLE: 0.09 Item: OEM AC Compressor w/A/C Repair Kit For F...\u001b[0m\n", + "\u001b[91m2: Guess: $85.00 Truth: $225.11 Error: $140.11 SLE: 0.93 Item: Motorcraft YB3125 Fan Clutch\u001b[0m\n", + "\u001b[92m3: Guess: $45.99 Truth: $61.68 Error: $15.69 SLE: 0.08 Item: Dorman 603-159 Front Washer Fluid Reserv...\u001b[0m\n", + "\u001b[91m4: Guess: $399.99 Truth: $599.99 Error: $200.00 SLE: 0.16 Item: HP Premium 17.3-inch HD Plus Touchscreen...\u001b[0m\n", + "\u001b[92m5: Guess: $24.99 Truth: $16.99 Error: $8.00 SLE: 0.14 Item: 5-Position Super Switch Pickup Selector ...\u001b[0m\n", + "\u001b[92m6: Guess: $25.99 Truth: $31.99 Error: $6.00 SLE: 0.04 Item: Horror Bookmarks, Resin Horror Bookmarks...\u001b[0m\n", + "\u001b[93m7: Guess: $79.99 Truth: $101.79 Error: $21.80 SLE: 0.06 Item: SK6241 - Stinger 4 Gauge 6000 Series Pow...\u001b[0m\n", + "\u001b[92m8: Guess: $299.00 Truth: $289.00 Error: $10.00 SLE: 0.00 Item: Godox ML60Bi LED Light Kit, Handheld LED...\u001b[0m\n", + "\u001b[91m9: Guess: $499.99 Truth: $635.86 Error: $135.87 SLE: 0.06 Item: Randall RG75DG3PLUS G3 Plus 100-Watt Com...\u001b[0m\n", + "\u001b[93m10: Guess: $39.99 Truth: $65.99 Error: $26.00 SLE: 0.24 Item: HOLDWILL 6 Pack LED Shop Light, 4FT 24W ...\u001b[0m\n", + "\u001b[91m11: Guess: $149.99 Truth: $254.21 Error: $104.22 SLE: 0.28 Item: Viking Horns V103C/1005ATK 3 Gallon Air ...\u001b[0m\n", + "\u001b[91m12: Guess: $180.00 Truth: $412.99 Error: $232.99 SLE: 0.68 Item: CURT 70110 Custom Tow Bar Base Plate Bra...\u001b[0m\n", + "\u001b[91m13: Guess: $32.99 Truth: $205.50 Error: $172.51 SLE: 3.26 Item: 10-Pack Solar HAMMERED BRONZE Finish Pos...\u001b[0m\n", + "\u001b[91m14: Guess: $299.99 Truth: $248.23 Error: $51.76 SLE: 0.04 Item: COSTWAY Electric Tumble Dryer, Sliver\u001b[0m\n", + "\u001b[91m15: Guess: $299.99 Truth: $399.00 Error: $99.01 SLE: 0.08 Item: FREE SIGNAL TV Transit 32\" 12 Volt DC Po...\u001b[0m\n", + "\u001b[91m16: Guess: $500.00 Truth: $373.94 Error: $126.06 SLE: 0.08 Item: Bilstein 5100 Monotube Gas Shock Set com...\u001b[0m\n", + "\u001b[92m17: Guess: $79.99 Truth: $92.89 Error: $12.90 SLE: 0.02 Item: Sangean K-200 Multi-Function Upright AM/...\u001b[0m\n", + "\u001b[92m18: Guess: $35.99 Truth: $51.99 Error: $16.00 SLE: 0.13 Item: Charles Leonard Magnetic Lapboard Class ...\u001b[0m\n", + "\u001b[91m19: Guess: $100.00 Truth: $179.00 Error: $79.00 SLE: 0.33 Item: Gigabyte AMD Radeon HD 7870 2 GB GDDR5 D...\u001b[0m\n", + "\u001b[92m20: Guess: $12.99 Truth: $19.42 Error: $6.43 SLE: 0.14 Item: 3dRose LLC 8 x 8 x 0.25 Inches Bull Terr...\u001b[0m\n", + "\u001b[91m21: Guess: $399.00 Truth: $539.95 Error: $140.95 SLE: 0.09 Item: ROKINON 85mm F1.4 Auto Focus Full Frame ...\u001b[0m\n", + "\u001b[91m22: Guess: $75.99 Truth: $147.67 Error: $71.68 SLE: 0.43 Item: AUTOSAVER88 Headlight Assembly Compatibl...\u001b[0m\n", + "\u001b[93m23: Guess: $49.99 Truth: $24.99 Error: $25.00 SLE: 0.45 Item: ASI NAUTICAL 2.5 Inches Opera Glasses Bi...\u001b[0m\n", + "\u001b[91m24: Guess: $49.99 Truth: $149.00 Error: $99.01 SLE: 1.16 Item: Behringer TUBE OVERDRIVE TO100 Authentic...\u001b[0m\n", + "\u001b[92m25: Guess: $12.99 Truth: $16.99 Error: $4.00 SLE: 0.06 Item: Fun Express Insect Finger Puppets - 24 f...\u001b[0m\n", + "\u001b[92m26: Guess: $10.99 Truth: $7.99 Error: $3.00 SLE: 0.08 Item: WAFJAMF Roller Stamp Identity Theft Stam...\u001b[0m\n", + "\u001b[92m27: Guess: $180.00 Truth: $199.99 Error: $19.99 SLE: 0.01 Item: Capulina Tiffany Floor Lamp 2-Light 16\" ...\u001b[0m\n", + "\u001b[91m28: Guess: $179.99 Truth: $251.45 Error: $71.46 SLE: 0.11 Item: Apple Watch Series 6 (GPS, 44mm) - Space...\u001b[0m\n", + "\u001b[91m29: Guess: $134.99 Truth: $231.62 Error: $96.63 SLE: 0.29 Item: ICON 01725 Tandem Axle Fender Skirt FS17...\u001b[0m\n", + "\u001b[91m30: Guess: $239.99 Truth: $135.00 Error: $104.99 SLE: 0.33 Item: SanDisk 128GB Ultra (10 Pack) MicroSD Cl...\u001b[0m\n", + "\u001b[91m31: Guess: $315.00 Truth: $356.62 Error: $41.62 SLE: 0.02 Item: Velvac 2020,L,C/Hr,W,E2003,102\",Bk - 715...\u001b[0m\n", + "\u001b[91m32: Guess: $179.99 Truth: $257.99 Error: $78.00 SLE: 0.13 Item: TCMT Passenger Backrest Sissy Bar & Lugg...\u001b[0m\n", + "\u001b[92m33: Guess: $29.99 Truth: $27.99 Error: $2.00 SLE: 0.00 Item: Alnicov 63.5MM Brass Tremolo Block,Tremo...\u001b[0m\n", + "\u001b[91m34: Guess: $75.00 Truth: $171.20 Error: $96.20 SLE: 0.67 Item: Subaru Forester Outback Legacy OEM Engin...\u001b[0m\n", + "\u001b[91m35: Guess: $329.99 Truth: $225.00 Error: $104.99 SLE: 0.15 Item: Richmond Auto Upholstery - 2012 Dodge Ra...\u001b[0m\n", + "\u001b[92m36: Guess: $100.00 Truth: $105.00 Error: $5.00 SLE: 0.00 Item: AP-39 Automotive Paint Primer Grey 2K Ur...\u001b[0m\n", + "\u001b[92m37: Guess: $299.99 Truth: $299.99 Error: $0.00 SLE: 0.00 Item: Road Top Wireless Carplay Retrofit Kit D...\u001b[0m\n", + "\u001b[91m38: Guess: $749.00 Truth: $535.09 Error: $213.91 SLE: 0.11 Item: Gibson Performance Exhaust 5658 Aluminiz...\u001b[0m\n", + "\u001b[92m39: Guess: $12.99 Truth: $12.33 Error: $0.66 SLE: 0.00 Item: Bella Tunno Happy Links - Baby Montessor...\u001b[0m\n", + "\u001b[92m40: Guess: $99.99 Truth: $84.99 Error: $15.00 SLE: 0.03 Item: CANMORE H300 Handheld GPS Golf Device, S...\u001b[0m\n", + "\u001b[92m41: Guess: $25.99 Truth: $15.99 Error: $10.00 SLE: 0.21 Item: DCPOWER AC Adapter Compatible Replacemen...\u001b[0m\n", + "\u001b[91m42: Guess: $15.99 Truth: $62.44 Error: $46.45 SLE: 1.74 Item: Sharp, VX2128V, Commercial Desktop Calcu...\u001b[0m\n", + "\u001b[91m43: Guess: $149.99 Truth: $82.99 Error: $67.00 SLE: 0.34 Item: Melissa & Doug Lifelike Plush Stork Gian...\u001b[0m\n", + "\u001b[91m44: Guess: $398.00 Truth: $599.95 Error: $201.95 SLE: 0.17 Item: Sony SSCS8 2-Way 3-Driver Center Channel...\u001b[0m\n", + "\u001b[93m45: Guess: $229.99 Truth: $194.99 Error: $35.00 SLE: 0.03 Item: ASUS Chromebook CX1, 14\" Full HD NanoEdg...\u001b[0m\n", + "\u001b[91m46: Guess: $399.99 Truth: $344.95 Error: $55.04 SLE: 0.02 Item: FiiO X7 32GB Hi-Res Lossless Music Playe...\u001b[0m\n", + "\u001b[92m47: Guess: $49.99 Truth: $37.99 Error: $12.00 SLE: 0.07 Item: TORRO Leather Case Compatible with iPhon...\u001b[0m\n", + "\u001b[93m48: Guess: $250.00 Truth: $224.35 Error: $25.65 SLE: 0.01 Item: Universal Air Conditioner KT 1031 A/C Co...\u001b[0m\n", + "\u001b[91m49: Guess: $1,100.00 Truth: $814.00 Error: $286.00 SLE: 0.09 Item: Street Series Stainless Performance Cat-...\u001b[0m\n", + "\u001b[91m50: Guess: $379.99 Truth: $439.88 Error: $59.89 SLE: 0.02 Item: Lenovo IdeaPad 3 14-inch Laptop, 14.0-in...\u001b[0m\n", + "\u001b[91m51: Guess: $299.99 Truth: $341.43 Error: $41.44 SLE: 0.02 Item: Access Bed Covers TonnoSport 22050219 - ...\u001b[0m\n", + "\u001b[93m52: Guess: $25.99 Truth: $46.78 Error: $20.79 SLE: 0.33 Item: G.I. JOE Hasbro 3 3/4\" Wave 5 Action Fig...\u001b[0m\n", + "\u001b[91m53: Guess: $370.00 Truth: $171.44 Error: $198.56 SLE: 0.59 Item: T&S Brass B-0232-BST Double Pantry Fauce...\u001b[0m\n", + "\u001b[91m54: Guess: $315.99 Truth: $458.00 Error: $142.01 SLE: 0.14 Item: ZTUOAUMA Fuel Injection Pump 3090942 309...\u001b[0m\n", + "\u001b[92m55: Guess: $129.99 Truth: $130.75 Error: $0.76 SLE: 0.00 Item: 2AP18AA#ABA Hp Prime Graphing Calculator...\u001b[0m\n", + "\u001b[91m56: Guess: $32.99 Truth: $83.81 Error: $50.82 SLE: 0.84 Item: Lowrance 000-0119-83 Nmea 2000 25' Exten...\u001b[0m\n", + "\u001b[91m57: Guess: $100.00 Truth: $386.39 Error: $286.39 SLE: 1.81 Item: Jeep Genuine Accessories 82213051 Hood L...\u001b[0m\n", + "\u001b[91m58: Guess: $129.00 Truth: $169.00 Error: $40.00 SLE: 0.07 Item: GODOX CB-06 Hard Carrying Case with Whee...\u001b[0m\n", + "\u001b[92m59: Guess: $25.99 Truth: $17.95 Error: $8.04 SLE: 0.13 Item: Au-Tomotive Gold, INC. Ford Black Valet ...\u001b[0m\n", + "\u001b[91m60: Guess: $179.99 Truth: $269.00 Error: $89.01 SLE: 0.16 Item: Snailfly Black Roof Rack Rail + Cross Ba...\u001b[0m\n", + "\u001b[91m61: Guess: $25.99 Truth: $77.77 Error: $51.78 SLE: 1.15 Item: KING SHA Anti Glare LED Track Lighting H...\u001b[0m\n", + "\u001b[91m62: Guess: $179.99 Truth: $88.99 Error: $91.00 SLE: 0.49 Item: APS Compatible with Chevy Silverado 1500...\u001b[0m\n", + "\u001b[91m63: Guess: $260.00 Truth: $364.41 Error: $104.41 SLE: 0.11 Item: Wilwood Engineering 14011291R Brake Cali...\u001b[0m\n", + "\u001b[93m64: Guess: $150.00 Truth: $127.03 Error: $22.97 SLE: 0.03 Item: ACDelco Gold 336-1925A Starter, Remanufa...\u001b[0m\n", + "\u001b[91m65: Guess: $490.00 Truth: $778.95 Error: $288.95 SLE: 0.21 Item: UWS EC10783 69-Inch Matte Black Heavy-Wa...\u001b[0m\n", + "\u001b[92m66: Guess: $199.99 Truth: $206.66 Error: $6.67 SLE: 0.00 Item: Dell Latitude E5440 14in Business Laptop...\u001b[0m\n", + "\u001b[92m67: Guess: $35.99 Truth: $35.94 Error: $0.05 SLE: 0.00 Item: (Plug and Play) Spare Tire Brake Light W...\u001b[0m\n", + "\u001b[91m68: Guess: $89.99 Truth: $149.00 Error: $59.01 SLE: 0.25 Item: The Ultimate Roadside Rescue Assistant\u001b[0m\n", + "\u001b[91m69: Guess: $150.00 Truth: $251.98 Error: $101.98 SLE: 0.27 Item: Brand New 18\" x 8.5\" Replacement Wheel f...\u001b[0m\n", + "\u001b[92m70: Guess: $150.00 Truth: $160.00 Error: $10.00 SLE: 0.00 Item: Headlight Headlamp LH Left & RH Right Pa...\u001b[0m\n", + "\u001b[92m71: Guess: $49.99 Truth: $39.99 Error: $10.00 SLE: 0.05 Item: Lilo And Stitch Deluxe Oversize Print La...\u001b[0m\n", + "\u001b[91m72: Guess: $179.99 Truth: $362.41 Error: $182.42 SLE: 0.49 Item: AC Compressor & A/C Clutch For Hyundai A...\u001b[0m\n", + "\u001b[91m73: Guess: $239.99 Truth: $344.00 Error: $104.01 SLE: 0.13 Item: House Of Troy PIN475-AB Pinnacle Collect...\u001b[0m\n", + "\u001b[92m74: Guess: $24.99 Truth: $25.09 Error: $0.10 SLE: 0.00 Item: Juno T29 WH Floating Electrical Feed Sin...\u001b[0m\n", + "\u001b[91m75: Guess: $75.99 Truth: $175.95 Error: $99.96 SLE: 0.69 Item: Sherman GO-PARTS - for 2013-2016 Toyota ...\u001b[0m\n", + "\u001b[92m76: Guess: $149.99 Truth: $132.64 Error: $17.35 SLE: 0.01 Item: Roland RPU-3 Electronic Keyboard Pedal o...\u001b[0m\n", + "\u001b[91m77: Guess: $239.99 Truth: $422.99 Error: $183.00 SLE: 0.32 Item: Rockland VMI14 12,000 Pound 12 Volt DC E...\u001b[0m\n", + "\u001b[91m78: Guess: $199.99 Truth: $146.48 Error: $53.51 SLE: 0.10 Item: Max Advanced Brakes Elite XDS Front Cros...\u001b[0m\n", + "\u001b[93m79: Guess: $120.00 Truth: $156.83 Error: $36.83 SLE: 0.07 Item: Quality-Built 11030 Premium Quality Alte...\u001b[0m\n", + "\u001b[91m80: Guess: $129.99 Truth: $251.99 Error: $122.00 SLE: 0.43 Item: Lucida LG-510 Student Classical Guitar, ...\u001b[0m\n", + "\u001b[91m81: Guess: $329.99 Truth: $940.33 Error: $610.34 SLE: 1.09 Item: Longacre 52-79800 Aluminum Turn Plates\u001b[0m\n", + "\u001b[93m82: Guess: $32.99 Truth: $52.99 Error: $20.00 SLE: 0.21 Item: Motion Pro 08-0380 Adjustable Torque Wre...\u001b[0m\n", + "\u001b[91m83: Guess: $150.00 Truth: $219.95 Error: $69.95 SLE: 0.14 Item: Glyph Thunderbolt 3 NVMe Dock (0 GB)\u001b[0m\n", + "\u001b[91m84: Guess: $367.99 Truth: $441.03 Error: $73.04 SLE: 0.03 Item: TOYO Open Country MT Performance Radial ...\u001b[0m\n", + "\u001b[92m85: Guess: $149.99 Truth: $168.98 Error: $18.99 SLE: 0.01 Item: Razer Seiren X USB Streaming Microphone ...\u001b[0m\n", + "\u001b[92m86: Guess: $5.99 Truth: $2.49 Error: $3.50 SLE: 0.48 Item: Happy Birthday to Dad From Your Daughter...\u001b[0m\n", + "\u001b[92m87: Guess: $99.99 Truth: $98.62 Error: $1.37 SLE: 0.00 Item: Little Tikes My Real Jam First Concert S...\u001b[0m\n", + "\u001b[91m88: Guess: $69.99 Truth: $256.95 Error: $186.96 SLE: 1.66 Item: Studio M Peace and Harmony Art Pole Comm...\u001b[0m\n", + "\u001b[92m89: Guess: $24.99 Truth: $30.99 Error: $6.00 SLE: 0.04 Item: MyVolts 12V Power Supply Adaptor Compati...\u001b[0m\n", + "\u001b[91m90: Guess: $499.99 Truth: $569.84 Error: $69.85 SLE: 0.02 Item: Dell Latitude 7212 Rugged Extreme Tablet...\u001b[0m\n", + "\u001b[91m91: Guess: $59.99 Truth: $177.99 Error: $118.00 SLE: 1.16 Item: Covermates Contour Fit Car Cover - Light...\u001b[0m\n", + "\u001b[91m92: Guess: $1,199.99 Truth: $997.99 Error: $202.00 SLE: 0.03 Item: Westin 57-4025 Black HDX Grille Guard fi...\u001b[0m\n", + "\u001b[93m93: Guess: $199.00 Truth: $219.00 Error: $20.00 SLE: 0.01 Item: Fieldpiece JL2 Job Link Wireless App Tra...\u001b[0m\n", + "\u001b[91m94: Guess: $150.00 Truth: $225.55 Error: $75.55 SLE: 0.16 Item: hansgrohe Talis S Modern Premium Easy Cl...\u001b[0m\n", + "\u001b[91m95: Guess: $1,199.00 Truth: $495.95 Error: $703.05 SLE: 0.78 Item: G-Technology G-SPEED eS PRO High-Perform...\u001b[0m\n", + "\u001b[91m96: Guess: $699.99 Truth: $942.37 Error: $242.38 SLE: 0.09 Item: DreamLine SHDR-1960723L-01 Shower Door, ...\u001b[0m\n", + "\u001b[92m97: Guess: $15.99 Truth: $1.94 Error: $14.05 SLE: 3.08 Item: Sanctuary Square Backplate Finish: Oiled...\u001b[0m\n", + "\u001b[91m98: Guess: $199.95 Truth: $284.34 Error: $84.39 SLE: 0.12 Item: Pelican Protector 1750 Long Case - Multi...\u001b[0m\n", + "\u001b[91m99: Guess: $99.99 Truth: $171.90 Error: $71.91 SLE: 0.29 Item: Brock Replacement Driver and Passenger H...\u001b[0m\n", + "\u001b[92m100: Guess: $129.99 Truth: $144.99 Error: $15.00 SLE: 0.01 Item: Carlinkit Ai Box Mini, Android 11, Multi...\u001b[0m\n", + "\u001b[91m101: Guess: $349.99 Truth: $470.47 Error: $120.48 SLE: 0.09 Item: StarDot NetCamLIVE2 YouTube Live Stream ...\u001b[0m\n", + "\u001b[91m102: Guess: $25.99 Truth: $66.95 Error: $40.96 SLE: 0.85 Item: Atomic Compatible FILXXCAR0016 16x25x5 M...\u001b[0m\n", + "\u001b[91m103: Guess: $49.99 Truth: $117.00 Error: $67.01 SLE: 0.70 Item: Bandai Awakening of S. H. s.h.figuarts s...\u001b[0m\n", + "\u001b[93m104: Guess: $139.99 Truth: $172.14 Error: $32.15 SLE: 0.04 Item: Fit System 62135G Passenger Side Towing ...\u001b[0m\n", + "\u001b[91m105: Guess: $299.99 Truth: $392.74 Error: $92.75 SLE: 0.07 Item: Black Horse Black Aluminum Exceed Runnin...\u001b[0m\n", + "\u001b[92m106: Guess: $25.99 Truth: $16.99 Error: $9.00 SLE: 0.16 Item: Dearsun Twinkle Star Color Night Light P...\u001b[0m\n", + "\u001b[92m107: Guess: $0.50 Truth: $1.34 Error: $0.84 SLE: 0.20 Item: Pokemon - Gallade Spirit Link (83/108) -...\u001b[0m\n", + "\u001b[91m108: Guess: $249.99 Truth: $349.98 Error: $99.99 SLE: 0.11 Item: Ibanez GA34STCE-NT GIO Series Classical ...\u001b[0m\n", + "\u001b[91m109: Guess: $1,200.00 Truth: $370.71 Error: $829.29 SLE: 1.38 Item: Set 2 Heavy Duty 12-16.5 12x16.5 12 Ply ...\u001b[0m\n", + "\u001b[92m110: Guess: $79.99 Truth: $65.88 Error: $14.11 SLE: 0.04 Item: Hairpin Table Legs 28\" Heavy Duty Hairpi...\u001b[0m\n", + "\u001b[91m111: Guess: $159.99 Truth: $229.99 Error: $70.00 SLE: 0.13 Item: Marada Racing Seat with Adjustable Slide...\u001b[0m\n", + "\u001b[92m112: Guess: $15.99 Truth: $9.14 Error: $6.85 SLE: 0.27 Item: Remington Industries 24UL1007STRWHI25 24...\u001b[0m\n", + "\u001b[91m113: Guess: $300.00 Truth: $199.00 Error: $101.00 SLE: 0.17 Item: Acer S3-391-6046 13.3-inch Ultrabook, In...\u001b[0m\n", + "\u001b[93m114: Guess: $129.99 Truth: $109.99 Error: $20.00 SLE: 0.03 Item: ICBEAMER 7\" RGB LED Headlights Bulb Halo...\u001b[0m\n", + "\u001b[91m115: Guess: $299.99 Truth: $570.42 Error: $270.43 SLE: 0.41 Item: R1 Concepts Front Rear Brakes and Rotors...\u001b[0m\n", + "\u001b[91m116: Guess: $130.00 Truth: $279.99 Error: $149.99 SLE: 0.58 Item: Camplux 2.64 GPM Tankless , Outdoor Port...\u001b[0m\n", + "\u001b[92m117: Guess: $25.99 Truth: $30.99 Error: $5.00 SLE: 0.03 Item: KNOKLOCK 10 Pack 3.75 Inch(96mm) Kitchen...\u001b[0m\n", + "\u001b[92m118: Guess: $25.99 Truth: $31.99 Error: $6.00 SLE: 0.04 Item: Valley Enterprises Yaesu USB FTDI CT-62 ...\u001b[0m\n", + "\u001b[92m119: Guess: $24.99 Truth: $15.90 Error: $9.09 SLE: 0.19 Item: G9 LED Light Bulbs,8W,75W 100W replaceme...\u001b[0m\n", + "\u001b[91m120: Guess: $129.99 Truth: $45.99 Error: $84.00 SLE: 1.05 Item: ZCHAOZ 4 Lights Antique White Farmhouse ...\u001b[0m\n", + "\u001b[91m121: Guess: $199.99 Truth: $113.52 Error: $86.47 SLE: 0.32 Item: Honeywell TH8320R1003 Honeywell VisionPr...\u001b[0m\n", + "\u001b[91m122: Guess: $579.99 Truth: $516.99 Error: $63.00 SLE: 0.01 Item: Patriot Exhaust H8013-1 1-7/8\" Clippster...\u001b[0m\n", + "\u001b[91m123: Guess: $80.00 Truth: $196.99 Error: $116.99 SLE: 0.80 Item: Fitrite Autopart New Front Left Driver S...\u001b[0m\n", + "\u001b[93m124: Guess: $15.99 Truth: $46.55 Error: $30.56 SLE: 1.06 Item: Technical Precision Replacement for GE G...\u001b[0m\n", + "\u001b[91m125: Guess: $179.99 Truth: $356.99 Error: $177.00 SLE: 0.47 Item: Covercraft Carhartt SeatSaver Front Row ...\u001b[0m\n", + "\u001b[93m126: Guess: $299.00 Truth: $319.95 Error: $20.95 SLE: 0.00 Item: Sennheiser SD Pro 2 (506008) - Double-Si...\u001b[0m\n", + "\u001b[93m127: Guess: $120.00 Truth: $96.06 Error: $23.94 SLE: 0.05 Item: Hitachi MAF0110 Mass Air Flow Sensor\u001b[0m\n", + "\u001b[91m128: Guess: $149.99 Truth: $190.99 Error: $41.00 SLE: 0.06 Item: AmScope SE305R-P-LED-PS36A 10X-30X LED C...\u001b[0m\n", + "\u001b[91m129: Guess: $75.99 Truth: $257.95 Error: $181.96 SLE: 1.47 Item: Front Left Driver Side Window Regulator ...\u001b[0m\n", + "\u001b[92m130: Guess: $75.99 Truth: $62.95 Error: $13.04 SLE: 0.03 Item: Premium Replica Hubcap Set, Fits Nissan ...\u001b[0m\n", + "\u001b[92m131: Guess: $32.99 Truth: $47.66 Error: $14.67 SLE: 0.13 Item: Excellerations Phonics Spelling Game for...\u001b[0m\n", + "\u001b[91m132: Guess: $299.99 Truth: $226.99 Error: $73.00 SLE: 0.08 Item: RC4WD BigDog Dual Axle Scale Car/Truck T...\u001b[0m\n", + "\u001b[91m133: Guess: $499.99 Truth: $359.95 Error: $140.04 SLE: 0.11 Item: Unknown Stage 2 Clutch Kit - Low Altitud...\u001b[0m\n", + "\u001b[91m134: Guess: $25.99 Truth: $78.40 Error: $52.41 SLE: 1.16 Item: 2002-2008 Dodge Ram 1500 Mopar 4X4 Emble...\u001b[0m\n", + "\u001b[93m135: Guess: $150.00 Truth: $172.77 Error: $22.77 SLE: 0.02 Item: Pro Comp Alloys Series 89 Wheel with Pol...\u001b[0m\n", + "\u001b[91m136: Guess: $239.99 Truth: $316.45 Error: $76.46 SLE: 0.08 Item: Detroit Axle - Front Rear Strut & Coil S...\u001b[0m\n", + "\u001b[93m137: Guess: $119.99 Truth: $87.99 Error: $32.00 SLE: 0.09 Item: ECCPP Rear Wheel Axle Replacement fit fo...\u001b[0m\n", + "\u001b[91m138: Guess: $179.99 Truth: $226.63 Error: $46.64 SLE: 0.05 Item: Dell Latitude E6520 Intel i7-2720QM 2.20...\u001b[0m\n", + "\u001b[92m139: Guess: $25.99 Truth: $31.49 Error: $5.50 SLE: 0.03 Item: F FIERCE CYCLE 251pcs Black Universal Mo...\u001b[0m\n", + "\u001b[91m140: Guess: $99.99 Truth: $196.00 Error: $96.01 SLE: 0.45 Item: Flash Furniture 4 Pk. HERCULES Series 88...\u001b[0m\n", + "\u001b[91m141: Guess: $35.99 Truth: $78.40 Error: $42.41 SLE: 0.58 Item: B&M 30287 Throttle Valve/Kickdown Cable,...\u001b[0m\n", + "\u001b[93m142: Guess: $150.00 Truth: $116.25 Error: $33.75 SLE: 0.06 Item: Gates TCK226 PowerGrip Premium Timing Be...\u001b[0m\n", + "\u001b[93m143: Guess: $150.00 Truth: $112.78 Error: $37.22 SLE: 0.08 Item: Monroe Shocks & Struts Quick-Strut 17149...\u001b[0m\n", + "\u001b[92m144: Guess: $32.99 Truth: $27.32 Error: $5.67 SLE: 0.03 Item: Feit Electric BPMR16/GU10/930CA/6 35W EQ...\u001b[0m\n", + "\u001b[91m145: Guess: $49.99 Truth: $145.91 Error: $95.92 SLE: 1.12 Item: Yellow Jacket 2806 Contractor Extension ...\u001b[0m\n", + "\u001b[93m146: Guess: $149.99 Truth: $171.09 Error: $21.10 SLE: 0.02 Item: Garage-Pro Tailgate SET Compatible with ...\u001b[0m\n", + "\u001b[91m147: Guess: $49.99 Truth: $167.95 Error: $117.96 SLE: 1.44 Item: 3M Perfect It Buffing and Polishing Kit ...\u001b[0m\n", + "\u001b[92m148: Guess: $45.99 Truth: $28.49 Error: $17.50 SLE: 0.22 Item: Chinese Style Dollhouse Model DIY Miniat...\u001b[0m\n", + "\u001b[93m149: Guess: $149.99 Truth: $122.23 Error: $27.76 SLE: 0.04 Item: Generic NRG Innovations SRK-161H Steerin...\u001b[0m\n", + "\u001b[92m150: Guess: $49.99 Truth: $32.99 Error: $17.00 SLE: 0.16 Item: Learning Resources Coding Critters Range...\u001b[0m\n", + "\u001b[92m151: Guess: $79.99 Truth: $71.20 Error: $8.79 SLE: 0.01 Item: Bosch Automotive 15463 Oxygen Sensor, OE...\u001b[0m\n", + "\u001b[91m152: Guess: $45.99 Truth: $112.75 Error: $66.76 SLE: 0.78 Item: Case of 24-2 Inch Blue Painters Tape - 6...\u001b[0m\n", + "\u001b[91m153: Guess: $85.99 Truth: $142.43 Error: $56.44 SLE: 0.25 Item: MOCA Engine Water Pump & Fan Clutch fit ...\u001b[0m\n", + "\u001b[91m154: Guess: $249.99 Truth: $398.99 Error: $149.00 SLE: 0.22 Item: SAREMAS Foot Step Bars for Hyundai Palis...\u001b[0m\n", + "\u001b[91m155: Guess: $749.00 Truth: $449.00 Error: $300.00 SLE: 0.26 Item: Gretsch G9210 Square Neck Boxcar Mahogan...\u001b[0m\n", + "\u001b[91m156: Guess: $129.99 Truth: $189.00 Error: $59.01 SLE: 0.14 Item: NikoMaku Mirror Dash Cam Front and Rear ...\u001b[0m\n", + "\u001b[93m157: Guess: $89.95 Truth: $120.91 Error: $30.96 SLE: 0.09 Item: Fenix HP25R v2.0 USB-C Rechargeable Head...\u001b[0m\n", + "\u001b[93m158: Guess: $239.99 Truth: $203.53 Error: $36.46 SLE: 0.03 Item: R&L Racing Heavy Duty Roll-Up Soft Tonne...\u001b[0m\n", + "\u001b[92m159: Guess: $349.99 Truth: $349.99 Error: $0.00 SLE: 0.00 Item: Garmin 010-02258-10 GPSMAP 64sx, Handhel...\u001b[0m\n", + "\u001b[92m160: Guess: $15.99 Truth: $34.35 Error: $18.36 SLE: 0.54 Item: Brown 5-7/8\" X 8-1/2\" X 3/16\" Thick Heav...\u001b[0m\n", + "\u001b[91m161: Guess: $299.99 Truth: $384.99 Error: $85.00 SLE: 0.06 Item: GAOMON PD2200 Pen Display & 20 Pen Nibs ...\u001b[0m\n", + "\u001b[92m162: Guess: $219.99 Truth: $211.00 Error: $8.99 SLE: 0.00 Item: VXMOTOR for 97-03 Ford F150/F250 Lightdu...\u001b[0m\n", + "\u001b[93m163: Guess: $150.00 Truth: $129.00 Error: $21.00 SLE: 0.02 Item: HP EliteBook 2540p Intel Core i7-640LM X...\u001b[0m\n", + "\u001b[91m164: Guess: $32.99 Truth: $111.45 Error: $78.46 SLE: 1.43 Item: Green EPX Mixing Nozzles 100-Pack-fits 3...\u001b[0m\n", + "\u001b[91m165: Guess: $15.99 Truth: $81.12 Error: $65.13 SLE: 2.48 Item: Box Partners 6 1/4 x 3 1/8\" 13 Pt. Manil...\u001b[0m\n", + "\u001b[91m166: Guess: $239.99 Truth: $457.08 Error: $217.09 SLE: 0.41 Item: Vixen Air 1/2\" NPT Air Ride Suspension H...\u001b[0m\n", + "\u001b[93m167: Guess: $79.99 Truth: $49.49 Error: $30.50 SLE: 0.22 Item: Smart Floor Lamp, 2700-6500K+RGBPink Mul...\u001b[0m\n", + "\u001b[91m168: Guess: $25.99 Truth: $80.56 Error: $54.57 SLE: 1.22 Item: SOZG 324mm Wheelbase Body Shell RC Car B...\u001b[0m\n", + "\u001b[91m169: Guess: $179.99 Truth: $278.39 Error: $98.40 SLE: 0.19 Item: Mickey Thompson ET Street S/S Racing Rad...\u001b[0m\n", + "\u001b[91m170: Guess: $300.00 Truth: $364.50 Error: $64.50 SLE: 0.04 Item: Pirelli 275/40R20 106W XL RFT P0 PZ4-LUX...\u001b[0m\n", + "\u001b[91m171: Guess: $209.99 Truth: $378.99 Error: $169.00 SLE: 0.35 Item: Torklift C3212 Rear Tie Down\u001b[0m\n", + "\u001b[91m172: Guess: $350.00 Truth: $165.28 Error: $184.72 SLE: 0.56 Item: Cardone 78-4226 Remanufactured Ford Comp...\u001b[0m\n", + "\u001b[92m173: Guess: $43.99 Truth: $56.74 Error: $12.75 SLE: 0.06 Item: Kidde AccessPoint 001798 Supra TouchPoin...\u001b[0m\n", + "\u001b[91m174: Guess: $150.00 Truth: $307.95 Error: $157.95 SLE: 0.51 Item: 3M Protecta 3100414 Self Retracting Life...\u001b[0m\n", + "\u001b[92m175: Guess: $49.99 Truth: $38.00 Error: $11.99 SLE: 0.07 Item: Plantronics 89435-01 Wired Headset, Blac...\u001b[0m\n", + "\u001b[92m176: Guess: $49.99 Truth: $53.00 Error: $3.01 SLE: 0.00 Item: Logitech K750 Wireless Solar Keyboard fo...\u001b[0m\n", + "\u001b[91m177: Guess: $599.99 Truth: $498.00 Error: $101.99 SLE: 0.03 Item: Olympus PEN E-PL9 Body Only with 3-Inch ...\u001b[0m\n", + "\u001b[91m178: Guess: $150.99 Truth: $53.99 Error: $97.00 SLE: 1.03 Item: Beck/Arnley 051-6066 Hub & Bearing Assem...\u001b[0m\n", + "\u001b[91m179: Guess: $249.99 Truth: $350.00 Error: $100.01 SLE: 0.11 Item: Eibach Pro-Kit Performance Springs E10-6...\u001b[0m\n", + "\u001b[91m180: Guess: $199.99 Truth: $299.95 Error: $99.96 SLE: 0.16 Item: LEGO DC Batman 1989 Batwing 76161 Displa...\u001b[0m\n", + "\u001b[92m181: Guess: $89.99 Truth: $94.93 Error: $4.94 SLE: 0.00 Item: Kingston Brass KS3608PL Restoration 4-In...\u001b[0m\n", + "\u001b[91m182: Guess: $299.00 Truth: $379.00 Error: $80.00 SLE: 0.06 Item: Polk Vanishing Series 265-LS In-Wall 3-W...\u001b[0m\n", + "\u001b[92m183: Guess: $299.99 Truth: $299.95 Error: $0.04 SLE: 0.00 Item: Spec-D Tuning LED Projector Headlights G...\u001b[0m\n", + "\u001b[92m184: Guess: $29.99 Truth: $24.99 Error: $5.00 SLE: 0.03 Item: RICHMOND & FINCH Airpod Pro Case, Green ...\u001b[0m\n", + "\u001b[93m185: Guess: $75.00 Truth: $41.04 Error: $33.96 SLE: 0.35 Item: LFA Industries 43B-5A-33JT 1/16-1/2-1.5-...\u001b[0m\n", + "\u001b[91m186: Guess: $199.99 Truth: $327.90 Error: $127.91 SLE: 0.24 Item: SAUTVS LED Headlight Assembly for Slings...\u001b[0m\n", + "\u001b[92m187: Guess: $15.99 Truth: $10.99 Error: $5.00 SLE: 0.12 Item: 2 Pack Combo Womens Safety Glasses Impac...\u001b[0m\n", + "\u001b[92m188: Guess: $15.99 Truth: $14.99 Error: $1.00 SLE: 0.00 Item: Arepa - Venezuelan cuisine - Venezuela P...\u001b[0m\n", + "\u001b[91m189: Guess: $15.99 Truth: $84.95 Error: $68.96 SLE: 2.63 Item: Schlage Lock Company KS23D2300 Padlock, ...\u001b[0m\n", + "\u001b[92m190: Guess: $129.99 Truth: $111.00 Error: $18.99 SLE: 0.02 Item: Techni Mobili White Sit to Stand Mobile ...\u001b[0m\n", + "\u001b[91m191: Guess: $79.99 Truth: $123.73 Error: $43.74 SLE: 0.19 Item: Special Lite Products Contemporary Wall ...\u001b[0m\n", + "\u001b[91m192: Guess: $399.99 Truth: $557.38 Error: $157.39 SLE: 0.11 Item: Tascam DP-24SD 24-Track Digital Portastu...\u001b[0m\n", + "\u001b[91m193: Guess: $149.99 Truth: $95.55 Error: $54.44 SLE: 0.20 Item: Glow Lighting 636CC10SP Vista Crystal Fl...\u001b[0m\n", + "\u001b[91m194: Guess: $199.99 Truth: $154.00 Error: $45.99 SLE: 0.07 Item: Z3 Wind Deflector, Smoke Tint, Lexan, Wi...\u001b[0m\n", + "\u001b[91m195: Guess: $150.00 Truth: $198.99 Error: $48.99 SLE: 0.08 Item: Olympus E-20 5MP Digital Camera w/ 4x Op...\u001b[0m\n", + "\u001b[91m196: Guess: $239.99 Truth: $430.44 Error: $190.45 SLE: 0.34 Item: PHYNEDI 1:1000 World Trade Center (1973-...\u001b[0m\n", + "\u001b[92m197: Guess: $25.99 Truth: $45.67 Error: $19.68 SLE: 0.30 Item: YANGHUAN Unstable Unicorns Adventure Car...\u001b[0m\n", + "\u001b[91m198: Guess: $99.99 Truth: $249.00 Error: $149.01 SLE: 0.82 Item: Interlogix NX-1820E NetworX Touch Screen...\u001b[0m\n", + "\u001b[92m199: Guess: $25.99 Truth: $42.99 Error: $17.00 SLE: 0.24 Item: Steering Damper,Universal Motorcycle Han...\u001b[0m\n", + "\u001b[92m200: Guess: $179.99 Truth: $181.33 Error: $1.34 SLE: 0.00 Item: Amprobe TIC 410A Hot Stick Attachment\u001b[0m\n", + "\u001b[92m201: Guess: $6.99 Truth: $6.03 Error: $0.96 SLE: 0.02 Item: MyCableMart 3.5mm Plug/Jack, 4 Conductor...\u001b[0m\n", + "\u001b[92m202: Guess: $39.95 Truth: $29.99 Error: $9.96 SLE: 0.08 Item: OtterBox + Pop Symmetry Series Case for ...\u001b[0m\n", + "\u001b[91m203: Guess: $500.00 Truth: $899.00 Error: $399.00 SLE: 0.34 Item: Dell XPS X8700-1572BLK Desktop ( Intel C...\u001b[0m\n", + "\u001b[91m204: Guess: $299.99 Truth: $399.99 Error: $100.00 SLE: 0.08 Item: Franklin Iron Works Sperry Industrial Br...\u001b[0m\n", + "\u001b[92m205: Guess: $15.99 Truth: $4.66 Error: $11.33 SLE: 1.21 Item: Avery Legal Dividers, Standard Collated ...\u001b[0m\n", + "\u001b[91m206: Guess: $210.00 Truth: $261.41 Error: $51.41 SLE: 0.05 Item: Moen 8346 Commercial Posi-Temp Pressure ...\u001b[0m\n", + "\u001b[92m207: Guess: $120.00 Truth: $136.97 Error: $16.97 SLE: 0.02 Item: Carlisle Versa Trail ATR All Terrain Rad...\u001b[0m\n", + "\u001b[91m208: Guess: $129.99 Truth: $79.00 Error: $50.99 SLE: 0.24 Item: SUNWAYFOTO 44mm Tripod Ball Head Arca Co...\u001b[0m\n", + "\u001b[91m209: Guess: $199.00 Truth: $444.99 Error: $245.99 SLE: 0.64 Item: NanoBeam AC NBE-5AC-Gen2-US 4 Units 5GHz...\u001b[0m\n", + "\u001b[91m210: Guess: $599.99 Truth: $411.94 Error: $188.05 SLE: 0.14 Item: WULF 4\" Front 2\" Rear Leveling Lift Kit ...\u001b[0m\n", + "\u001b[91m211: Guess: $189.99 Truth: $148.40 Error: $41.59 SLE: 0.06 Item: Alera ALEVABFMC Valencia Series Mobile B...\u001b[0m\n", + "\u001b[91m212: Guess: $85.00 Truth: $244.99 Error: $159.99 SLE: 1.10 Item: YU-GI-OH! Ignition Assault Booster Box\u001b[0m\n", + "\u001b[91m213: Guess: $149.99 Truth: $86.50 Error: $63.49 SLE: 0.30 Item: 48\" x 36\" Extra-Large Framed Magnetic Bl...\u001b[0m\n", + "\u001b[91m214: Guess: $100.00 Truth: $297.95 Error: $197.95 SLE: 1.18 Item: Dell Latitude D620 Renewed Notebook PC\u001b[0m\n", + "\u001b[91m215: Guess: $499.99 Truth: $399.99 Error: $100.00 SLE: 0.05 Item: acer Aspire 5 Laptop, AMD Ryzen 3 5300U ...\u001b[0m\n", + "\u001b[91m216: Guess: $250.00 Truth: $599.00 Error: $349.00 SLE: 0.76 Item: Elk 31080/6RC-GRN 30 by 6-Inch Viva 6-Li...\u001b[0m\n", + "\u001b[91m217: Guess: $29.99 Truth: $105.99 Error: $76.00 SLE: 1.54 Item: Barbie Top Model Doll\u001b[0m\n", + "\u001b[92m218: Guess: $699.99 Truth: $689.00 Error: $10.99 SLE: 0.00 Item: Danby Designer 20-In. Electric Range wit...\u001b[0m\n", + "\u001b[92m219: Guess: $399.00 Truth: $404.99 Error: $5.99 SLE: 0.00 Item: FixtureDisplays® Metal Truss Podium Doub...\u001b[0m\n", + "\u001b[91m220: Guess: $150.00 Truth: $207.76 Error: $57.76 SLE: 0.10 Item: ACDelco 13597235 GM Original Equipment A...\u001b[0m\n", + "\u001b[91m221: Guess: $349.99 Truth: $171.82 Error: $178.17 SLE: 0.50 Item: EBC S1KF1135 Stage-1 Premium Street Brak...\u001b[0m\n", + "\u001b[92m222: Guess: $299.99 Truth: $293.24 Error: $6.75 SLE: 0.00 Item: FXR Men's Boost FX Jacket (Black/Orange/...\u001b[0m\n", + "\u001b[93m223: Guess: $399.95 Truth: $374.95 Error: $25.00 SLE: 0.00 Item: SuperATV Scratch Resistant 3-in-1 Flip W...\u001b[0m\n", + "\u001b[91m224: Guess: $59.99 Truth: $111.99 Error: $52.00 SLE: 0.38 Item: SBU 3 Layer All Weather Mini Van Car Cov...\u001b[0m\n", + "\u001b[92m225: Guess: $32.99 Truth: $42.99 Error: $10.00 SLE: 0.07 Item: 2 Pack Outdoor Brochure Holder Advertisi...\u001b[0m\n", + "\u001b[93m226: Guess: $150.00 Truth: $116.71 Error: $33.29 SLE: 0.06 Item: Monroe Shocks & Struts Quick-Strut 17158...\u001b[0m\n", + "\u001b[93m227: Guess: $150.00 Truth: $118.61 Error: $31.39 SLE: 0.05 Item: Elements of Design Magellan EB235AL Thre...\u001b[0m\n", + "\u001b[92m228: Guess: $150.00 Truth: $147.12 Error: $2.88 SLE: 0.00 Item: GM Genuine Parts 15-62961 Air Conditioni...\u001b[0m\n", + "\u001b[93m229: Guess: $99.99 Truth: $119.99 Error: $20.00 SLE: 0.03 Item: Baseus 17-in-1 USB C Docking Station to ...\u001b[0m\n", + "\u001b[91m230: Guess: $179.99 Truth: $369.98 Error: $189.99 SLE: 0.52 Item: Whitehall™ Personalized Whitehall Capito...\u001b[0m\n", + "\u001b[92m231: Guess: $299.99 Truth: $315.55 Error: $15.56 SLE: 0.00 Item: Pro Circuit Works Pipe PY05250 for 02-19...\u001b[0m\n", + "\u001b[91m232: Guess: $299.99 Truth: $190.99 Error: $109.00 SLE: 0.20 Item: HYANKA 15 \"1200W Professional DJ Speaker...\u001b[0m\n", + "\u001b[91m233: Guess: $99.99 Truth: $155.00 Error: $55.01 SLE: 0.19 Item: Bluetooth X6BT Card Reader Writer Encode...\u001b[0m\n", + "\u001b[93m234: Guess: $329.99 Truth: $349.99 Error: $20.00 SLE: 0.00 Item: AIRAID Cold Air Intake System by K&N: In...\u001b[0m\n", + "\u001b[92m235: Guess: $239.99 Truth: $249.99 Error: $10.00 SLE: 0.00 Item: Bostingner Shower Faucets Sets Complete,...\u001b[0m\n", + "\u001b[92m236: Guess: $35.99 Truth: $42.99 Error: $7.00 SLE: 0.03 Item: PIT66 Front Bumper Turn Signal Lights, C...\u001b[0m\n", + "\u001b[92m237: Guess: $19.99 Truth: $17.99 Error: $2.00 SLE: 0.01 Item: Caseology Bumpy Compatible with Google P...\u001b[0m\n", + "\u001b[91m238: Guess: $315.00 Truth: $425.00 Error: $110.00 SLE: 0.09 Item: Fleck 2510 Timer Mechanical Filter Contr...\u001b[0m\n", + "\u001b[92m239: Guess: $239.99 Truth: $249.99 Error: $10.00 SLE: 0.00 Item: Haloview MC7108 Wireless RV Backup Camer...\u001b[0m\n", + "\u001b[91m240: Guess: $35.99 Truth: $138.23 Error: $102.24 SLE: 1.76 Item: Schmidt Spiele - Manhattan\u001b[0m\n", + "\u001b[91m241: Guess: $329.99 Truth: $414.99 Error: $85.00 SLE: 0.05 Item: Corsa 14333 Tip Kit (Ford Mustang GT)\u001b[0m\n", + "\u001b[92m242: Guess: $150.00 Truth: $168.28 Error: $18.28 SLE: 0.01 Item: Hoshizaki FM116A Fan Motor Kit 1\u001b[0m\n", + "\u001b[92m243: Guess: $199.99 Truth: $199.99 Error: $0.00 SLE: 0.00 Item: BAINUO Antler Chandelier Lighting,6 Ligh...\u001b[0m\n", + "\u001b[92m244: Guess: $110.99 Truth: $126.70 Error: $15.71 SLE: 0.02 Item: DNA MOTORING HL-OH-FEXP06-SM-AM Smoke Le...\u001b[0m\n", + "\u001b[92m245: Guess: $10.99 Truth: $5.91 Error: $5.08 SLE: 0.30 Item: Wera Stainless 3840/1 TS 2.5mm Hex Inser...\u001b[0m\n", + "\u001b[92m246: Guess: $199.99 Truth: $193.06 Error: $6.93 SLE: 0.00 Item: Celestron - PowerSeeker 127EQ Telescope ...\u001b[0m\n", + "\u001b[91m247: Guess: $299.99 Truth: $249.99 Error: $50.00 SLE: 0.03 Item: NHOPEEW 10.1inch Android Car Radio Carpl...\u001b[0m\n", + "\u001b[92m248: Guess: $59.99 Truth: $64.12 Error: $4.13 SLE: 0.00 Item: Other Harmonica (Suzuki-2Timer24- A)\u001b[0m\n", + "\u001b[91m249: Guess: $209.99 Truth: $114.99 Error: $95.00 SLE: 0.36 Item: Harley Air Filter Venturi Intake Air Cle...\u001b[0m\n", + "\u001b[91m250: Guess: $599.00 Truth: $926.00 Error: $327.00 SLE: 0.19 Item: Elite Screens Edge Free Ambient Light Re...\u001b[0m\n" + ] + }, + { + "data": { + "image/png": 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51+tXMnv2bAUFBSkgIEDVqlXTtGnT0rRZsWKFypcvr7lz56ps2bLy9fVVkSJF9MILL2Tq90lG+3Uljz32mOtLhXnz5rl+d99xxx3avXu3WrZsKX9/f02dOlWLFi3SqFGjFBIS4lbb1RzjVMYYJSUlKTY2VosWLdJbb72ljh07pnvKwsV27typPXv2XHEYfnx8vP75558076Vkvb/x8fHauXOnJKlOnTr6/PPPtXHjRu3Zs0eTJ09WnTp1JElvvPGGkpKS9MILL1z+gAI5nZdHDADIpMOHDxtJ5qGHHkrzWlJSkklMTHQ9Lh4CmToU//DhwyYxMdFER0ebmTNnmqCgIBMVFWXi4+PTrC+zQ/GTk5NNzZo1TceOHV3z0huKv2jRIiPJjBkzxm3+p59+aiSZSZMmXXFbqfvz1ltvuc2vUqWKkWTmzZvnmpeYmGgKFixoHnzwQde8Xbt2GUlm2rRpadZ5aV19+vQxgYGBbsezWLFiHg1LL1asmGnRooXrPdm1a5d55JFHjCTz/PPPu9VSsmRJc/78ebfly5UrZ6pWrWoSExPd5rdq1coULlzYNay3Q4cOJigoyBw+fNjVJikpyZQrVy7NMMwGDRqYBg0auJ5/9NFHRpKZPHnyZfclo2GfqUN+ly1bZoyxPgeRkZGmcuXKbsOOT58+bQoVKuQ2zDczxzwj3bt3N5LM5s2b3ep5+eWX3dqVLFnSlCxZMt3PeqrGjRubPHnymKNHj2bYJrXmS6V32kOxYsWMr6+v2bp162X3ITk52SQmJpqPPvrI+Pr6mpMnTxpjrGMWFhZm6tWrd9ljMWTIEOPv7+82rDX152n58uWX3XZq3ek9fH193dpKMk6n01Xfpevo2rWr2/zNmzcbSaZPnz5u83/55Rcjyfzf//2fa16DBg2MJPPjjz+mqTH1Z+ZKj4s/10lJSSZ37tymTZs25ty5c6ZBgwYeD0f+7rvvjCQzcuTIdF//8ssvjdPpdG03KCjIzJw506N1Xywzw6RTj2Xv3r09Wnfqz8Gnn35qEhMTzdmzZ83PP/9sypYtaypUqGCio6Pd2l/8+37IkCEmIiLCJCYmmhMnTpiAgAAzffp0c+zYsTRD8c+dO2ceeOABt89M1apVzYsvvpjm5ygzQ/E9+Tymfmau9Lj499bw4cONJHPo0KE027777rtNmTJlrnhsO3XqZGbNmmVWrFhhvvjiC3PvvfcaSeall15yaxcQEGBCQ0NN3rx5zfjx483SpUvNiy++aHx9fT06HcSTz/3F+5be37WMPmNffPGFkWQ2bNhw2RqKFSvm0TG++DOR6pNPPnFr061btzR/yy6VmJhoGjZsaMLCwszevXsv2/bAgQMZ/pzOnj3bSDKrVq0yxlin9dxzzz2uWmrWrGmOHDlitm/fboKDg82KFSsuuy3ADrh4HnADqVatmv744w/X8zfeeCNND1JERITb87p162rSpEkeX2jMGJOm1yR1WN3YsWO1fft2LViw4LLrSL0Y36VD2du1a6fu3bvrxx9/VM+ePS+7rVStWrVye16+fHn98ccfuvfee92WKVWqlMenG7Ru3drt+W233aZz587p6NGjV3UxwIULF8rPz8/1PCgoSH379k3Tm966dWu3djt27NCWLVtcF967uIemRYsW+uabb7R161aVL19ey5YtU5MmTdzq8/X1VYcOHVxDvzPy3XffKTAw8JqHPafaunWrDh48qP79+7sNO86dO7fatm2riRMn6uzZswoODna9drXH/MyZM/rss89Up04d14W2GjRooJIlS2r69OkaOnSofHx8tG3bNv3zzz8aMWJEhp/1s2fPavny5erRo0eWjWBJ3Zf0ekd///13DRkyRD///LNOnjzp9tq2bdtUs2ZNrVq1SrGxserTp89lhzQ/8cQTGjlypCZPnqwXX3xRkjUMuHLlyrrrrrs8qvOjjz5S+fLl3ealt83GjRsrb9686a4jdTRCqtTTSS79Wb/zzjtVvnx5/fjjj26n7OTNm1eNGzdOs96hQ4d6dLeD0NBQ17Svr68mT56s3r17Kzw8XCkpKRo1apTuvfdetWrVSr6+vhmuZ8qUKcqVK1e6p9ssWrRInTt3Vrt27dS+fXvlypVLCxYs0KOPPqrz589n24W3pkyZIkmZHobfoUMHt+eFCxfWqlWrLnshtW7durlGrOzevVv+/v5q165dukO0AwICNH/+fG3evFnff/+9fvvtNy1fvlzDhw/XhAkT9PPPP1/V8GZPPo8TJ07U6dOnr7iuAgUKpJmX0c+TJ6cOzJo1y+1527Ztdd9992nUqFHq16+f6/dHSkqKTp8+rU8++UQPPfSQJKlRo0aKi4vT22+/rWHDhqlUqVKX3VZQUJBWrFiR7mue/mynp0qVKvL391evXr3Up08f1a9fX7feemuadl9//bVHo+jSGxXUvHlzrV27VqdPn9bq1as1evRonThxQvPnz0/3lBRjjHr06KH//e9/mjt3rqKiojzal8u9Z6mvBQcH67vvvtOBAweUlJTkGrrfqVMnPfzww6pfv76WL1+u5557Tjt27NDtt9+u999/P0fe1QfICMEesJkCBQooKCgo3ZA6e/ZsnT17VocOHUoTlFItWbJETqdTfn5+KlKkiPLnz5+p7c+YMSPNP1yNMdq7d69eeeUVjRo1Sv7+/q5z5VOH6J06dUoBAQEKCgrSiRMnlCtXrjThyeFwKCIiQidOnJAkLV++XI0aNXJrs2vXLhUvXtz1PF++fG6v+/v7Kzg4OE148/f3T3M154xcekwCAgIk6aqHmNarV0/jxo2Tw+FQcHCwSpYsme61ES49tSJ1iPiAAQMyHOKbOpT5xIkTab60kdJ+kZOeY8eOKTIy8prO/b1Y6vuX3qkikZGRSklJUXR0tFuwv9pjnnrOcfv27d2uz9C+fXuNHDlSP/zwg5o3b65jx45JkooUKZLhuqKjo5WcnHzZNlcjveOwd+9e1a9fX2XLltU777yj4sWLKzAwUL/++quefPJJ1357UrckhYeHq0OHDpo4caJeeOEFbdy4Uf/73/80ceJEj+ssX7686/zrzO5PRq9d6bNw6e+xjNZdtGhRj96XS/+B/9BDD6l58+ZasmSJBg4cqHXr1mnKlCkqVaqUfvzxx3TDyPHjx7VgwQK1bNkyzc+PMUbdu3fXXXfd5TZUvWnTpoqJiVHfvn3Vvn17t3N5s0JiYqI++ugj3X777R69RxcbPXq0GjdurLNnz2rx4sUaOXKkHnjgAf3yyy+un7NLFStWTE2aNNHUqVO1e/duPfTQQwoODr7sudfly5d3BXFjjN5++209++yzevnll9O9JsiVePJ5LFWqlIwxV1zXxb/bUn/XnDhxIs2XhidPnkzzN8VTnTt31jfffKPffvvN9cVy/vz5dfjwYTVv3tyt7b333qu3335b69evv2Kw9/HxyfA4XMvv7JIlS2rJkiUaM2aMnnzyScXFxenWW29Vv3799PTTT7vaVahQIdPHOFXevHldtTdq1EglS5bUQw89pK+++irNXR3Mv9ezmDlzpmbMmKH777//itvMmzevHA6H6/fMxVK/LL30/bzllltc0x999JH+/vtvff755zpx4oQeeOABvfHGG3r44Yc1fPhwtWnTRps2bXL7wh3IyTjHHrAZX19fNW7cWL/99psOHTrk9lqFChVUvXp1Va5cOcPlU/9hePvtt2c61EvSfffdp7Vr17o9JOucuPj4eD399NPKmzev6/Hzzz9r8+bNyps3rwYPHizJ+sdOUlKSK7SkMsbo8OHDrt6VatWqpdmWJ+cK5zROp1PVq1dXtWrVVL58+QwveHhpKEk9DoMHD05zHFIfVapUkXThH5CXSm/epQoWLKiDBw+me47k1Uj9XF36+ZSkgwcPysfHJ8Me38xK7cXs37+/2+cu9cJyqa+nfol06QXbLpYvXz75+vpeto0k15dGl/ZiXXq+eKr0epO+/PJLxcXFad68eercubPq1aun6tWrp/lseFJ3qqefflr79u3TV199pfHjxytPnjx6+OGHr7hcZnnSO5bqSp+FS3tSM1p36rn7V3o0adIkzbJ58+ZVu3btVKxYMX3++edat26ddu7cqVdffTXdbX388cc6f/58uj3jR44c0aFDh3TnnXemea1GjRqKi4tL95701+qbb77R0aNHr+qiebfeequqV6+uu+66S6+//rpeffVV/fHHH3rvvfcuu1z37t21YMECbdiwIdOjeRwOh5555hnlyZPH43PWr0aTJk08+lxcXH/q38e//vrLbV1JSUnasmXLVffQpobfiwNueud+Z9TWG+rXr6+vv/5aMTExWrNmjWrXrq3+/ftrzpw5rjYlS5b06Bhn9PN0sdSfm23btrnNTw3106ZN03//+1917tzZo/qDgoJUqlSpNO+lZL2/QUFB6Y5CkKwvdp577jm9/fbbyps3r1avXi0fHx899thjCgoK0sCBA7Vjx440tQI5GT32gA0NHjxY3333nR5//HHXBaqul/z586f7hUCVKlVcw24v1r9/f8XExGjatGmuHrcmTZpozJgxmjlzptsF0ubOnau4uDjXP85DQ0Mz3Tt1IylbtqxKly6tP/74QyNGjLhs20aNGmnBggU6cuSIqxcqOTlZn3766RW3c++99+qTTz7R9OnTL/sP+ICAAI9GLZQtW1a33HKLZs+erQEDBrjCWlxcnObOneu6Uv612rx5s1avXq22bdumO0z79ddf11dffaUTJ06oTJkyKlmypKZOnapnn3023Z7KoKAgNWjQQJ9//rmGDx+e7vBdSa4RI3/++adq1Kjhmv/11197XHvqMbm4DmOMJk+e7NauTp06cjqdmjBhgh566KHLhupq1aqpTp06Gj16tP7++2/16tUry3uOMyt1WP3MmTPdjtXatWu1efNm12kDV3I1Q/GNMeker9tuu00FChTQ0aNH013HlClTFBkZ6XY6T6q8efMqMDBQa9asSfNaajDIiouapldTYGBglnxRM3DgQE2fPl2jRo1S79693Y7Zxdq0aaM2bdrI6XS67p6SnkOHDqW7zwcPHlRsbKyqVat2zTVn5GqG4tesWVOFCxfW9OnT3U5T+OKLL3TmzBk9+OCDV1XLxx9/LD8/P7f9bdu2rRYvXqzvvvtOnTp1cs1fuHChfHx83H4msosno598fX1Vs2ZNlStXTrNmzdL69etdpw5cy1D8S6X+G+HiUQrGGPXs2VPTpk3TxIkTM30qS5s2bfT2229r3759rqH7p0+f1rx589S6des0p++levbZZ1WjRg3XfhpjlJCQoKSkJOXKlUtnzpxxzQfsgmAP2FDdunX1/vvvq2/fvrrjjjvUq1cvVaxYUT4+Pjp06JDris9hYWHXraY8efKkuYVa6vykpCS315o1a6bmzZtr0KBBio2NVd26dfXnn39qyJAhqlq1qrp06XLd6s7pJk6cqHvvvVfNmzfXo48+qltuuUUnT57U5s2btX79en3++eeSpJdeekkLFixQ48aN9corryg4OFjvv/++4uLirriNjh07atq0aXr88ce1detWNWrUSCkpKfrll19Uvnx51z98KleurJ9++klff/21ChcurNDQ0HTPnfXx8dGYMWP08MMPq1WrVurdu7cSEhL0xhtv6NSpUxo1alSWHJvU3viBAwem24N6+vRp/fjjj5o5c6aefvppvf/++7rvvvtUq1YtPfPMMypatKj27t2r77//3nXO7NixY1WvXj3VrFlTL7zwgkqVKqUjR45owYIFmjhxokJDQ9WiRQvly5dPPXr00KuvvqpcuXJp+vTpHt2aKVWzZs3k7++vjh07auDAgTp37pw+/PBDRUdHu7XLnTu33nrrLT322GNq2rSpevbsqfDwcO3YsUN//PGHxo8f79b+6aefVocOHeRwOFxXlPfU33//ne6VtkuWLHnV1xwoW7asevXqpffee08+Pj669957tXv3br388suKiory+M4HxYsXdzsFxxN79uzRQw89pCeeeEK33XabEhIS9Ndff2nkyJE6ePBgukN9f/nlF23cuFH/93//l+45+AEBAerTp4/Gjh2rrl27qkOHDvL19dWXX36p2bNnq0ePHm5Df1MDTOrdRyTr9Irly5dLutBr/N1336lgwYIqWLBgmqvwHzx4UIsWLVKHDh2yZKSLn5+fRowYofbt2+udd97RSy+9lG67wMBAffHFF1dcX69evXTq1Cm1bdtWlSpVkq+vr7Zs2aJx48bJx8dHgwYNcmufnJyc7npDQkLcvkzx5PN4Nefu+/r6asyYMerSpYt69+6tjh07avv27Ro4cKCaNWume+65x9V2+fLlatKkiV555RW98sorkqxr16TehaRIkSI6evSopkyZosWLF2vo0KFuXyJ069ZNEydOVJ8+fXT8+HFVqFBBS5Ys0fvvv68+ffq43aItu6SOUHjnnXf0yCOPyM/PT2XLltWsWbO0dOlStWzZUkWLFtW5c+dcp5c0bdo0zfKZMXHiRP3vf//T3XffraioKMXFxel///uf3nvvPdWpU8ftZ69fv36aMmWKunfvrsqVK7t9aRYQEKCqVau6njdp0kTLly93+1wMGDBAH3/8sVq2bKlXX31VAQEBGjVqlM6dO6ehQ4emW9/SpUs1d+5ct9EktWvXlo+Pj5588km1a9dO7733nooXL87t72Av1/tqfQCyzoYNG0y3bt1MiRIlTEBAgAkMDDSlSpUyXbt2TXNl6dQreR87dszj9Wf2qvjpSe+q+MYYEx8fbwYNGmSKFStm/Pz8TOHChc0TTzyR5krNGclofzKq+dI6LndV/EvXmdHVzj29Kn7Lli0v2ya1ljfeeCPd1//44w/Tvn17U6hQIePn52ciIiJM48aNzYQJE9za/fzzz6ZWrVomICDAREREmOeff95MmjTpilfFN8Z6P1555RVTunRp4+/vb/Lnz28aN27suqKwMdbnrW7duiY4ONjtCuSXXhU/1Zdffmlq1qxpAgMDTUhIiGnSpIn5+eef3dpk5phf7Pz586ZQoUKmSpUq6b5ujHVV9CJFipjKlSu75q1evdrce++9xul0moCAAFOyZEnzzDPPuC23adMm065dO5M/f37j7+9vihYtah599FFz7tw5V5tff/3V1KlTx4SEhJhbbrnFDBkyxPz3v/9N93OS0fv/9ddfm9tvv90EBgaaW265xTz//POuq7FfeiwXLlxoGjRoYEJCQkxwcLCpUKGCGT16dJp1JiQkmICAAHPPPfdkeFwudbmrkOuSuyVIMk8++WSG61i7dm2a15KTk83o0aNNmTJljJ+fnylQoIDp3Lmz2bdvn1u7jH5XXK24uDgzdOhQc+edd5p8+fIZSSYkJMTcdtttaX52UvXs2dM4HA7zzz//ZLje5ORkM3nyZFO9enWTJ08eExYWZqpWrWrGjx+f5q4WxYoVM8WKFXObl/rzkt7j0p9LYy5cxX3p0qWZ2v/U7Xz++efpvl6zZk2TN29ec+rUKWOMZ7/v07sq/vfff2+6d+9uKlSoYJxOp8mVK5cpXLiwefDBB83q1avdlr/cVd5Tj1NmPo/XYvbs2ea2224z/v7+JiIiwvTr18+cPn3arU3qMbx4fxcsWGDq1atnChYsaHLlymVCQ0NN/fr1zSeffJLudk6cOGF69+5twsPDjZ+fnylTpox544033O4YkpErvSeX3qkkvb9rxhgzePBgExkZaXx8fFy/X1avXm3atGljihUrZgICAkz+/PlNgwYNzIIFC65Y15X8/PPPplWrViYyMtL4+/ub4OBgc/vtt5vXXnvNxMXFubW93FX3L/3ZSb0LwqV27NhhHnjgARMWFmaCg4NNkyZNzLp169KtLT4+3pQuXTrdv7c//PCDqVy5sgkODja1atUyv//++1UfA8AbHMYwxgQAgBvB119/rdatW+vbb79VixYtvF1OjtKwYUNNnz490z3/AADYAUPxAQCwuU2bNmnPnj167rnnVKVKlXTPDwcAADcurooPAIDN9enTR61bt1bevHn1ySefeHQv7pvNo48+etl7twMAYGcMxQcAAAAAwMbosQcAAAAAwMYI9gAAAAAA2BjBHgAAAAAAG+Oq+B5KSUnRwYMHFRoaykWJAAAAAADZzhij06dPKzIyUj4+GffLE+w9dPDgQUVFRXm7DAAAAADATWbfvn0qUqRIhq8T7D0UGhoqyTqgYWFhXq4GAAAAAHCji42NVVRUlCuPZoRg76HU4fdhYWEEewAAAADAdXOl08G5eB4AAAAAADZGsAcAAAAAwMYI9gAAAAAA2BjBHgAAAAAAGyPYAwAAAABgYwR7AAAAAABsjGAPAAAAAICNEewBAAAAALAxgj0AAAAAADZGsAcAAAAAwMYI9gAAAAAA2BjBHgAAAAAAGyPYAwAAAABgYwR7AAAAAABsjGAPAAAAAICNEewBAAAAALAxgj0AAAAAADZGsAcAAAAAwMYI9gAAAAAA2BjBHgAAAAAAGyPYAwAAAABgY14N9itWrNB9992nyMhIORwOffnll67XEhMTNWjQIFWuXFkhISGKjIxU165ddfDgQbd1JCQkqG/fvipQoIBCQkLUunVr7d+/361NdHS0unTpIqfTKafTqS5duujUqVPXYQ8BAAAAAMheXg32cXFxuv322zV+/Pg0r509e1br16/Xyy+/rPXr12vevHnatm2bWrdu7dauf//+mj9/vubMmaOVK1fqzJkzatWqlZKTk11tOnXqpA0bNmjRokVatGiRNmzYoC5dumT7/gEAslh8vLR9u3TR73gAAIBMSUy0/j1x/ry3K8kyDmOM8XYRkuRwODR//nw98MADGbZZu3at7rzzTu3Zs0dFixZVTEyMChYsqI8//lgdOnSQJB08eFBRUVFauHChmjdvrs2bN6tChQpas2aNatasKUlas2aNateurS1btqhs2bIe1RcbGyun06mYmBiFhYVd8/4CADJpzx6pZk3pyBGpTh1p6VIpIMDbVSE9X30lzZhhvV/PPy/5cOYfACCHOHVKqlVL2rpVKl1a+uUXKW9eb1eVIU9zqK3+0sbExMjhcChPnjySpHXr1ikxMVF33323q01kZKQqVaqkVatWSZJWr14tp9PpCvWSVKtWLTmdTleb9CQkJCg2NtbtAQDwotmzpWPHrOlVq6Q1a7xbD9L3zz/Sgw9KX34pvfCCNHOmtysCAOCCb7+1Qr1k9dp/841368kitgn2586d0wsvvKBOnTq5vqk4fPiw/P39lfeSb1jCw8N1+PBhV5tChQqlWV+hQoVcbdIzcuRI1zn5TqdTUVFRWbg3AIBMK1dOSkmRfH0lPz+peHFvV4T0HD1qvU/GWD31Bw54uyIAAC4oXdr6f+posjJlvFdLFrJFsE9MTNRDDz2klJQUffDBB1dsb4yRw+FwPb94OqM2lxo8eLBiYmJcj3379l1d8QCArPHAA9L06VLPntKSJVKxYt6uCOm5806rx16SSpaUunXzbj0AAFzszjutU8Yee0yaP986bewGkMvbBVxJYmKi2rdvr127dmnp0qVu5xVERETo/Pnzio6Oduu1P3r0qOrUqeNqc+TIkTTrPXbsmMLDwzPcbkBAgAI4dxMAcg6HQ3rkEeuBnMvXV5o7V4qJkUJDOb8eAJDztG5tPW4gOfqvbWqo3759u5YsWaL8+fO7vV6tWjX5+fnphx9+cM07dOiQ/v77b1ewr127tmJiYvTrr7+62vzyyy+KiYlxtQEAAFnM6STUAwBwnXi1x/7MmTPasWOH6/muXbu0YcMG5cuXT5GRkfrPf/6j9evX65tvvlFycrLrnPh8+fLJ399fTqdTPXr00HPPPaf8+fMrX758GjBggCpXrqymTZtKksqXL6977rlHPXv21MSJEyVJvXr1UqtWrTy+Ij4AAAAAADmVV29399NPP6lRo0Zp5j/yyCMaOnSoSpQoke5yy5YtU8OGDSVZF9V7/vnnNXv2bMXHx6tJkyb64IMP3C52d/LkSfXr108LFiyQJLVu3Vrjx493XV3fE9zuDgAAAABwPXmaQ3PMfexzOoI9AAAAAOB6uiHvYw8AAAAAANwR7AEAAAAAsDGCPQAAAAAANkawBwAAAADAxgj2AAAAAADYGMEeAAAAAAAbI9gDAAAAAGBjBHsAAAAAAGyMYA8AAAAAgI0R7AEAAAAAsDGCPQAAAAAANkawBwAAAADAxgj2AAAAAADYGMEeAAAAAAAbI9gDAAAAAGBjBHsAAAAAAGyMYA8AAAAAgI0R7AEAAAAAsDGCPQAAAAAANkawBwAAAADAxgj2AAAAAADYGMEeAAAAAAAbI9gDAAAAAGBjBHsAAAAAAGyMYA8AAAAAgI0R7AEAAAAAsDGCPQAAAAAANkawBwAAAADAxgj2AAAAAADYGMEeAAAAAAAbI9gDAAAAAGBjBHsAAAAAAGyMYA8AAAAAgI0R7AEAAAAAsDGCPQAAAAAANkawBwAAAADAxgj2AAAAAADYGMEeAAAAgHetWiWNGSNt3OjtSgBbyuXtAgAAAADcxFavlurXl4yRhg2TtmyRoqK8XRVgK/TYAwAAAPCe1aullBQr2J89K/35p7crAmyHYA8AAADAe1q1knLntqaLFJHq1PFuPYANMRQfAAAAgPeUKSNt22b11NesKeXJ4+2KANsh2AMAAADwrsKFrQeAq8JQfAAAAAAAbIxgDwAAAACAjRHsAQAAAACwMYI9AAAAAAA2RrAHAAAAAMDGCPYAAAAAANgYwR4AAAAAABsj2AMAAAAAYGMEewAAAAAAbIxgDwAAAACAjRHsAQAAAACwMYI9AAAAAAA2RrAHAAAAAMDGCPYAAAAAANgYwR4AAAAAABsj2AMAAAAAYGMEewAAAAAAbIxgDwAAAACAjRHsAQAAAACwMYI9AAAAAAA2RrAHAAAAAMDGCPYAAAAAANgYwR4AAAAAABsj2AMAAAAAYGMEewAAAAAAbIxgDwAAAACAjRHsAQAAAACwMYI9AAAAAAA2RrAHAAAAAMDGCPYAAAAAANgYwR4AAAAAABsj2AMAAAAAYGMEewAAAAAAbIxgDwAAAACAjRHsAQAAAACwMYI9AAAAAAA2RrAHAAAAAMDGCPYAAAAAANgYwR4AAAAAABvzarBfsWKF7rvvPkVGRsrhcOjLL790e90Yo6FDhyoyMlJBQUFq2LChNm7c6NYmISFBffv2VYECBRQSEqLWrVtr//79bm2io6PVpUsXOZ1OOZ1OdenSRadOncrmvQMAAAAAIPt5NdjHxcXp9ttv1/jx49N9fcyYMRo7dqzGjx+vtWvXKiIiQs2aNdPp06ddbfr376/58+drzpw5Wrlypc6cOaNWrVopOTnZ1aZTp07asGGDFi1apEWLFmnDhg3q0qVLtu8fAAAAAADZzWGMMd4uQpIcDofmz5+vBx54QJLVWx8ZGan+/ftr0KBBkqze+fDwcI0ePVq9e/dWTEyMChYsqI8//lgdOnSQJB08eFBRUVFauHChmjdvrs2bN6tChQpas2aNatasKUlas2aNateurS1btqhs2bIe1RcbGyun06mYmBiFhYVl/QEAAAAAAOAinubQHHuO/a5du3T48GHdfffdrnkBAQFq0KCBVq1aJUlat26dEhMT3dpERkaqUqVKrjarV6+W0+l0hXpJqlWrlpxOp6tNehISEhQbG+v2AAAAAAAgp8mxwf7w4cOSpPDwcLf54eHhrtcOHz4sf39/5c2b97JtChUqlGb9hQoVcrVJz8iRI13n5DudTkVFRV3T/gAAAAAAkB1ybLBP5XA43J4bY9LMu9SlbdJrf6X1DB48WDExMa7Hvn37Mlk5AAAAAADZL8cG+4iICElK06t+9OhRVy9+RESEzp8/r+jo6Mu2OXLkSJr1Hzt2LM1ogIsFBAQoLCzM7QEAAAAAQE6TY4N9iRIlFBERoR9++ME17/z581q+fLnq1KkjSapWrZr8/Pzc2hw6dEh///23q03t2rUVExOjX3/91dXml19+UUxMjKsNAAAAAAB2lcubGz9z5ox27Njher5r1y5t2LBB+fLlU9GiRdW/f3+NGDFCpUuXVunSpTVixAgFBwerU6dOkiSn06kePXroueeeU/78+ZUvXz4NGDBAlStXVtOmTSVJ5cuX1z333KOePXtq4sSJkqRevXqpVatWHl8RHwAAAACAnMqrwf63335To0aNXM+fffZZSdIjjzyi6dOna+DAgYqPj1efPn0UHR2tmjVravHixQoNDXUtM27cOOXKlUvt27dXfHy8mjRpounTp8vX19fVZtasWerXr5/r6vmtW7fW+PHjr9NeAgAAAACQfXLMfexzOu5jDwAAAAC4nmx/H3sAAAAAAHBlBHsAAAAAAGyMYA8AAAAAgI0R7AEAAAAAsDGCPQAAAAAANkawBwAAAADAxgj2AAAAAADYGMEeAAAAAAAbI9gDAAAAAGBjBHsAAAAAAGyMYA8AAAAAgI0R7AEAAAAAsDGCPQAAAAAANkawBwAAAADAxgj2AAAAAADYGMEeAAAAAAAbI9gDAAAAAGBjBHsAAAAAAGyMYA8AAAAAgI0R7AEAAAAAsDGCPQAAAAAANkawBwAAAADAxgj2AAAAAADYGMEeAAAAAAAbI9gDAAAAAGBjBHsAAAAAAGyMYA8AAAAAgI0R7AEAAAAAsDGCPQAAAAAANkawBwAAAADAxgj2AAAAAADYGMEeAAAAAAAbI9gDAAAAAGBjBHsAAAAAAGyMYA8AAAAAgI0R7AEAAAAAsDGCPQAAAAAANkawBwAAAADAxgj2AAAAAADYGMEeAAAAAAAbI9gDAAAAAGBjBHsAAAAAAGyMYA8AAAAAgI0R7AEAAAAAsDGCPQAAAAAANkawBwAAAADAxgj2AAAAAADYGMEeAAAAAAAbI9gDAAAAAGBjBHsAAAAAAGyMYA8AAAAAgI0R7AEAAAAAsDGCPQAAAAAANkawBwAAAADAxgj2AAAAAADYGMEeAAAAAAAbI9gDAAAAAGBjBHsAAAAAAGyMYA8AAAAAgI0R7AEAAAAAsDGCPQAAAAAANkawBwAAAADAxgj2AAAAAADYGMEeAAAAAAAbI9gDAAAAAGBjBHsAAAAAAGyMYA8AAAAAgI0R7AEAAAAAsDGCPQAAAAAANkawBwAAAADAxgj2AAAAAADYGMEeAAAAAAAbI9gDAAAAAGBjBHsAAAAAAGyMYA8AAAAAgI0R7AEAAAAAsDGCPQAAAAAANkawBwAAAADAxgj2AAAAAADYGMEeAAAAAAAbI9gDAAAAAGBjBHsAAAAAAGyMYA8AAAAAgI3l6GCflJSkl156SSVKlFBQUJBuvfVWvfrqq0pJSXG1McZo6NChioyMVFBQkBo2bKiNGze6rSchIUF9+/ZVgQIFFBISotatW2v//v3Xe3cAAAAAAMhyOTrYjx49WhMmTND48eO1efNmjRkzRm+88Ybee+89V5sxY8Zo7NixGj9+vNauXauIiAg1a9ZMp0+fdrXp37+/5s+frzlz5mjlypU6c+aMWrVqpeTkZG/sFgAAAAAAWcZhjDHeLiIjrVq1Unh4uKZMmeKa17ZtWwUHB+vjjz+WMUaRkZHq37+/Bg0aJMnqnQ8PD9fo0aPVu3dvxcTEqGDBgvr444/VoUMHSdLBgwcVFRWlhQsXqnnz5uluOyEhQQkJCa7nsbGxioqKUkxMjMLCwrJxrwEAAAAAsHKo0+m8Yg7N0T329erV048//qht27ZJkv744w+tXLlSLVq0kCTt2rVLhw8f1t133+1aJiAgQA0aNNCqVaskSevWrVNiYqJbm8jISFWqVMnVJj0jR46U0+l0PaKiorJjFwEAAAAAuCa5vF3A5QwaNEgxMTEqV66cfH19lZycrOHDh6tjx46SpMOHD0uSwsPD3ZYLDw/Xnj17XG38/f2VN2/eNG1Sl0/P4MGD9eyzz7qep/bYAwAAAACQk+ToYP/pp59q5syZmj17tipWrKgNGzaof//+ioyM1COPPOJq53A43JYzxqSZd6krtQkICFBAQMC17QAAAAAAANksRwf7559/Xi+88IIeeughSVLlypW1Z88ejRw5Uo888ogiIiIkWb3yhQsXdi139OhRVy9+RESEzp8/r+joaLde+6NHj6pOnTrXcW8AAAAAAMh6Ofoc+7Nnz8rHx71EX19f1+3uSpQooYiICP3www+u18+fP6/ly5e7Qnu1atXk5+fn1ubQoUP6+++/CfYAAAAAANvL0T329913n4YPH66iRYuqYsWK+v333zV27Fh1795dkjUEv3///hoxYoRKly6t0qVLa8SIEQoODlanTp0kSU6nUz169NBzzz2n/PnzK1++fBowYIAqV66spk2benP3AAAAAAC4Zjk62L/33nt6+eWX1adPHx09elSRkZHq3bu3XnnlFVebgQMHKj4+Xn369FF0dLRq1qypxYsXKzQ01NVm3LhxypUrl9q3b6/4+Hg1adJE06dPl6+vrzd2CwAAAACALJOj72Ofk3h6/0AAAAAAALLCDXEfewAAAAAAcHkEewAAAAAAbIxgDwAAAACAjRHsAQAAAACwMYI9AAAAAAA2RrAHAAAAAMDGCPYAAAAAANgYwR4AAAAAABsj2AMAAAAAYGMEewAAAAAAbIxgDwAAAACAjRHsAQAAAACwMYI9AAAAAAA2RrAHAAAAAMDGCPYAANjN1q1S377SmDFSYqK3q8mZduyQ+vWTRo6UEhK8XQ0AANkql7cLAAAAmZCUJDVoIB0/LqWkSHFx0rBh3q4qZ0lJkRo1kg4dsqZjYqRRo7xdFQAA2YZgDwCAnZw5Ix05Yk37+Ehbtni3npzo3Dlp/35r2uHgGAEAbngMxQcAwE7y5JF69rSmAwKkJ5/0ajk5UnCwdaqCJPn7S0895d16AADIZg5jjPF2EXYQGxsrp9OpmJgYhYWFebscAMDNzBhp924pb14r6CN9u3dLTqd1nAAAsCFPcyhD8QEAsBuHQypRwttV5HzFi3u7AgAArguG4gMAAAAAYGMEewAAAAAAbIxgDwAAAACAjRHsAQAAAACwMYI9AAAAAAA2RrAHAAAAAMDGCPYAAAAAANgYwR4AAAAAABsj2AMAAAAAYGMEewAAAAAAbIxgDwAAAACAjRHsAQAAAACwMYI9AAAAAAA2RrAHAAAAAMDGrirY/+9//1Pnzp1Vu3ZtHThwQJL08ccfa+XKlVlaHAAAAAAAuLxMB/u5c+eqefPmCgoK0u+//66EhARJ0unTpzVixIgsLxAAAAAAAGQs08H+9ddf14QJEzR58mT5+fm55tepU0fr16/P0uIAAAAAAMDlZTrYb926VXfddVea+WFhYTp16lRW1AQAAABcsxSToteWv6Z7Z92rT/76xNvlADeOxERp8GCpRQtpwQJvVwNJuTK7QOHChbVjxw4VL17cbf7KlSt16623ZlVdAAAAwDWZ+edMvfLTK5Kk73d8r6qFq6pcgXJergq4AXzwgTR6tGSMtHixtHevFBnp7apuapnuse/du7eefvpp/fLLL3I4HDp48KBmzZqlAQMGqE+fPtlRIwAAAJBpR+OOyiGHJMnI6PjZ416uCLhBHD0q+fwbJZOTpeho79aDzPfYDxw4UDExMWrUqJHOnTunu+66SwEBARowYICeeuqp7KgRAAAAyLRHqzyqj//8WH8e+VMdKnZQ7SK1vV0ScGN44gnp88+l7dulXr2kChW8XdFNz2GMMVez4NmzZ7Vp0yalpKSoQoUKyp07d1bXlqPExsbK6XQqJiZGYWFh3i4HAAAAHjDG6HzyeQXkCvB2KcCNxRjp/HkpgJ+t7ORpDs30UPzu3bvr9OnTCg4OVvXq1XXnnXcqd+7ciouLU/fu3a+paAAAACArORwOQj2QHRwOQn0OkulgP2PGDMXHx6eZHx8fr48++ihLigIAAAAAAJ7x+Bz72NhYGWNkjNHp06cVGBjoei05OVkLFy5UoUKFsqVIAAAAAACQPo+DfZ48eeRwOORwOFSmTJk0rzscDg0bNixLiwMAAAAAAJfncbBftmyZjDFq3Lix5s6dq3z58rle8/f3V7FixRTJvQsBAAAAALiuPA72DRo0kCTt2rVLUVFR8vHJ9On5AAAAAAAgi2X6PvbFihWTZN3ubu/evTp//rzb67fddlvWVAYAAAAAAK4o08H+2LFj6tatm7777rt0X09OTr7mogAAAAAAgGcyPZ6+f//+io6O1po1axQUFKRFixZpxowZKl26tBYsWJAdNQIAAAAAgAxkusd+6dKl+uqrr1SjRg35+PioWLFiatasmcLCwjRy5Ei1bNkyO+oEAAAAAADpyHSPfVxcnOt+9fny5dOxY8ckSZUrV9b69euztjoAAAAAAHBZmQ72ZcuW1datWyVJVapU0cSJE3XgwAFNmDBBhQsXzvICAQAAAABAxjI9FL9///46dOiQJGnIkCFq3ry5Zs2aJX9/f02fPj2r6wMAAAAAAJfhMMaYa1nB2bNntWXLFhUtWlQFChTIqrpynNjYWDmdTsXExCgsLMzb5QAAAAAAbnCe5tBM99hfKjg4WHfccce1rgYAAAAAAFyFTAd7Y4y++OILLVu2TEePHlVKSorb6/Pmzcuy4gAAAAAAwOVlOtg//fTTmjRpkho1aqTw8HA5HI7sqAsAAAAAAHgg08F+5syZmjdvnlq0aJEd9QAAAAAAgEzI9O3unE6nbr311uyoBQAAAAAAZFKmg/3QoUM1bNgwxcfHZ0c9AAAAAAAgEzI9FL9du3b65JNPVKhQIRUvXlx+fn5ur69fvz7LigMAAAAAAJeX6WD/6KOPat26dercuTMXzwMAAAAAwMsyHey//fZbff/996pXr1521AMAAAAAADIh0+fYR0VFKSwsLDtqAQAAAAAAmZTpYP/WW29p4MCB2r17dzaUAwAAAAAAMiPTQ/E7d+6ss2fPqmTJkgoODk5z8byTJ09mWXEAAAAAAODyMh3s33777WwoAwAAAAAAXI1MB/tHHnkkO+oAAAAAAABXwaNgHxsb67pgXmxs7GXbcmE9AAAAAACuH4+Cfd68eXXo0CEVKlRIefLkSffe9cYYORwOJScnZ3mRAAAAAAAgfR4F+6VLlypfvnySpGXLlmVrQQAAAAAAwHMeBfsGDRq4pkuUKKGoqKg0vfbGGO3bty9rqwMAAAAAAJeV6fvYlyhRQseOHUsz/+TJkypRokSWFAUAAAAAADyT6WCfei79pc6cOaPAwMAsKQoAAAAAAHjG49vdPfvss5Ikh8Ohl19+WcHBwa7XkpOT9csvv6hKlSpZXiAAAAAAAMiYx8H+999/l2T12P/111/y9/d3vebv76/bb79dAwYMyPoKAQAAAABAhjwO9qlXw+/WrZveeecd7lcPAAAAAEAOkOlz7KdNm+YW6mNjY/Xll19qy5YtWVoYAAAAAAC4skwH+/bt22v8+PGSpPj4eFWvXl3t27dX5cqVNXfu3CwvEAAAAAAAZCzTwX7FihWqX7++JGn+/PkyxujUqVN699139frrr2d5gQAAAAAAIGOZDvYxMTHKly+fJGnRokVq27atgoOD1bJlS23fvj3LCzxw4IA6d+6s/PnzKzg4WFWqVNG6detcrxtjNHToUEVGRiooKEgNGzbUxo0b3daRkJCgvn37qkCBAgoJCVHr1q21f//+LK8VAAAAAIDrLdPBPioqSqtXr1ZcXJwWLVqku+++W5IUHR2d5fexj46OVt26deXn56fvvvtOmzZt0ltvvaU8efK42owZM0Zjx47V+PHjtXbtWkVERKhZs2Y6ffq0q03//v01f/58zZkzRytXrtSZM2fUqlUrJScnZ2m9AICbiDFSQoK3q8jZOEYAAFwXmQ72/fv318MPP6wiRYooMjJSDRs2lGQN0a9cuXKWFjd69GhFRUVp2rRpuvPOO1W8eHE1adJEJUuWlGT11r/99tt68cUX9eCDD6pSpUqaMWOGzp49q9mzZ0uyRhhMmTJFb731lpo2baqqVatq5syZ+uuvv7RkyZIsrRcAcJM4ckSqVEkKDJS6dpVSUrxdUc5z8THq3JljBAA51fz50tNPS8uXe7sSXINMB/s+ffpozZo1mjp1qlauXCkfH2sVt956a5afY79gwQJVr15d7dq1U6FChVS1alVNnjzZ9fquXbt0+PBh16gBSQoICFCDBg20atUqSdK6deuUmJjo1iYyMlKVKlVytUlPQkKCYmNj3R4AAEiSJk+WUu8G8/HH0kWniOFf//3vhWM0a5b022/erQcAkNayZdKDD0rvvy81aSJt2+btinCVMh3sJalatWpq06aNcufO7ZrXsmVL1a1bN8sKk6SdO3fqww8/VOnSpfX999/r8ccfV79+/fTRRx9Jkg4fPixJCg8Pd1suPDzc9drhw4fl7++vvHnzZtgmPSNHjpTT6XQ9oqKisnLXAAB2Fh5+oQfax0cqUMC79eREHCMAyPn+/tv6f3Ky9di61bv14Kp5HOwrVKigkydPup736tVLx44dcz0/evSogoODs7S4lJQU3XHHHRoxYoSqVq2q3r17q2fPnvrwww/d2jkcDrfnxpg08y51pTaDBw9WTEyM67Fv376r3xEAwI2le3fplVeke+6RPv1UKlHC2xXlPN26XThGc+ZIt97q7YoAAJdq21YqXNiarlhRatTIu/XgquXytOGWLVuUlJTkej5nzhy98MILKliwoCQrKJ87dy5LiytcuLAqVKjgNq98+fKaO3euJCkiIkKS1StfOPUDKetLhtRe/IiICJ0/f17R0dFuvfZHjx5VnTp1Mtx2QECAAgICsmxfAAA3EF9fadgwb1eRs3GMACDni4yUtm+Xdu6UypaV/P29XRGu0lUNxZesIH+pK/WSZ1bdunW19ZLhINu2bVOxYsUkSSVKlFBERIR++OEH1+vnz5/X8uXLXaG9WrVq8vPzc2tz6NAh/f3335cN9gAAAABwwwsJkSpXJtTbnMc99t7wzDPPqE6dOhoxYoTat2+vX3/9VZMmTdKkSZMkWV8k9O/fXyNGjFDp0qVVunRpjRgxQsHBwerUqZMkyel0qkePHnruueeUP39+5cuXTwMGDFDlypXVtGlTb+4eAAAAAADXzONg73A40vTIZ3UP/aVq1Kih+fPna/DgwXr11VdVokQJvf3223r44YddbQYOHKj4+Hj16dNH0dHRqlmzphYvXqzQ0FBXm3HjxilXrlxq37694uPj1aRJE02fPl2+vr7ZWj8AAAAAANnNYdIbU58OHx8fVapUSblyWd8F/PnnnypXrpz8/x2ykZSUpI0bNyo5OTn7qvWi2NhYOZ1OxcTEKCwszNvlAAAAAABucJ7mUI977IcMGeL2/P7770/Tpm3btpkoEQAA4DI++ED6/nvpgQesq+wDAIB0edxjf7Ojxx4AgOto8WKpefMLz1etkmrX9l49AAB4gac59Kqvig8AAJBtDh50f37okHfqAADABgj2AAAg52nbVqpRw5pu0EBq0cK79QAAkIPl6NvdAQCAm1RoqPTLL9KZM1Lu3FI234kHAAA7I9gDAICcyeGwAj4AALgshuIDAAAAAGBjHvXYv/vuux6vsF+/flddDAAAAAAAyByPbndXokQJz1bmcGjnzp3XXFROxO3uAAAAAADXk6c51KMe+127dmVZYQAAAAAAIOtc9Tn258+f19atW5WUlJSV9QAAAAAAgEzIdLA/e/asevTooeDgYFWsWFF79+6VZJ1bP2rUqCwvEAAAAAAAZCzTwX7w4MH6448/9NNPPykwMNA1v2nTpvr000+ztDgAAAAAAHB5mb6P/ZdffqlPP/1UtWrVksPhcM2vUKGC/vnnnywtDgAAAAAAXF6me+yPHTumQoUKpZkfFxfnFvQBAAAAAED2y3Swr1Gjhr799lvX89QwP3nyZNWuXTvrKgMAAAAAAFeU6aH4I0eO1D333KNNmzYpKSlJ77zzjjZu3KjVq1dr+fLl2VEjAAAAAADIQKZ77OvUqaOff/5ZZ8+eVcmSJbV48WKFh4dr9erVqlatWnbUCAAAAAAAMuAwxhhvF2EHsbGxcjqdiomJUVhYmLfLAQAAAADc4DzNoR4NxY+NjfV4w4ReAAAAAACuH4+CfZ48eTy+4n1ycvI1FQQAAAAAADznUbBftmyZa3r37t164YUX9Oijj7qugr969WrNmDFDI0eOzJ4qAQAAAABAujJ9jn2TJk302GOPqWPHjm7zZ8+erUmTJumnn37KyvpyDM6xBwAAAABcT57m0ExfFX/16tWqXr16mvnVq1fXr7/+mtnVAQAAAACAa5DpYB8VFaUJEyakmT9x4kRFRUVlSVEAAAAAAMAzHp1jf7Fx48apbdu2+v7771WrVi1J0po1a/TPP/9o7ty5WV4gAAAAAADIWKZ77Fu0aKHt27erdevWOnnypE6cOKH7779f27ZtU4sWLbKjRgAAAAAAkIFMXzzvZsXF8wAAAAAA15OnOTTTQ/El6dSpU5oyZYo2b94sh8OhChUqqHv37nI6nVddMAAAAAAAyLxMD8X/7bffVLJkSY0bN04nT57U8ePHNXbsWJUsWVLr16/PjhoBAAAAAEAGMj0Uv379+ipVqpQmT56sXLmsDv+kpCQ99thj2rlzp1asWJEthXobQ/EBAAAAANeTpzk008E+KChIv//+u8qVK+c2f9OmTapevbrOnj17dRXncAR7AAAAAMD15GkOzfRQ/LCwMO3duzfN/H379ik0NDSzqwMAAAAAANcg08G+Q4cO6tGjhz799FPt27dP+/fv15w5c/TYY4+pY8eO2VEjAAAAAADIQKaviv/mm2/K4XCoa9euSkpKkiT5+fnpiSee0KhRo7K8QAAAAAAAkLGrvo/92bNn9c8//8gYo1KlSik4ODira8tROMceAAAAAHA9Zet97CUpODhYlStXvtrFAQAAAABAFvA42Hfv3t2jdlOnTr3qYgAAN7Hff5d27JDuvVfKnfvK7VeskE6elFq0kPz9s66O336T9uyx6rjBR6MhG/z1l7R5s9S8ueR0eruarHej7x+QUx04YP3dq1VLKlHC29UgB/I42E+fPl3FihVT1apVdZWj9wEASN9XX0lt2kjGSLfdJq1bJ+W6zJ+od96R+ve3pu+7T1qwIGvq+PRT6aGHrOkaNaQ1aySfTF9nFjerH3+U7r5bSkmRSpe2QnBAgLeryjoX71+pUtb+BQZ6uyrgxnfggFSxohQTY33hvGGD9TsGuIjHwf7xxx/XnDlztHPnTnXv3l2dO3dWvnz5srM2AMDNYsECyeGwgv2ff0r79l2+R2Lu3AvT33xjBY2sCOBffWWtJyVFWrtWOnpUioi49vXi5nDxF0zbt0vbtkk30mmL33xj/ZxK1uiarVul22/3bk3AzWDlSivUS9LZs9LSpQR7pOHxv4I++OADHTp0SIMGDdLXX3+tqKgotW/fXt9//z09+ACAa5PaCyhZ/1gpUuTy7Vu0uDDdpEnW9apfXEfFilLBglmzXtwcLv78REVZvdo3kmbNpORka7pIEYIFcL3UqiWFhFjT/v5S/frerQc50lVfFX/Pnj2aPn26PvroIyUmJmrTpk3K7ck5kTbFVfEBIJstX271crZpI+XPf/m2xkgLF1rn2P/nP1JQUNbVsXSptGuX1LatlCdP1q0XN4dVq6SNG6X775cKFfJ2NVnvRt8/IKf65x/r71O9elL58t6uBtdRtl8V3+FwyOFwyBijlNRvpwEAuFoNGlgPTzgcUsuW2VNH48bZs17cHOrUsR43qht9/2BdS+HDD63TSF588fLXO8H1U7Kk9QAykKmxiwkJCfrkk0/UrFkzlS1bVn/99ZfGjx+vvXv33tC99QAAAMAN79gx61SnefOkYcOk8eO9XREAD3n8FVyfPn00Z84cFS1aVN26ddOcOXOU/0pDJQEAAADYw4kT0vnz1rSvr3U1dgC24PE59j4+PipatKiqVq0qR+oVUdMxb968LCsuJ+EcewAAANzQjJG6dZNmzJBuucW6b/qtt3q7KuCmluXn2Hft2vWygR4AAACAjTkc0vTp0jvvSLlzW732AGzB42A/ffr0bCwDAAAAQI7gdHq7AgCZlEU3/gUAAAAAAN5AsAcAAAAAwMYI9gAAAAAA2BjBHgAAAAAAGyPYAwAAAABgYwR7AAAAAABsjGAPAAAAAICNEewBAAAAALAxgj0AAAAAADZGsAcAAAAAwMYI9gAAAAAA2BjBHgAAAAAAGyPYAwAAAABgYwR7AAAAAABsjGAPAAAAAICNEewBAAAAALAxgj0AAAAAADZGsAcAAAAAwMYI9gAAAAAA2BjBHgAAAAAAGyPYAwAAAABgYwR7AAAAAABsjGAPAAAAAICNEewBAAAAALAxgj0AAAAAADZGsAcAAAAAwMYI9gAAAAAA2BjBHgAAAAAAGyPYAwAAAABgYwR7AAAAAABsjGAPAAAAAICNEewBAAAAALAxgj0AAAAAADZGsAcAAAAAwMZsFexHjhwph8Oh/v37u+YZYzR06FBFRkYqKChIDRs21MaNG92WS0hIUN++fVWgQAGFhISodevW2r9//3WuHgAAAACArGebYL927VpNmjRJt912m9v8MWPGaOzYsRo/frzWrl2riIgINWvWTKdPn3a16d+/v+bPn685c+Zo5cqVOnPmjFq1aqXk5OTrvRsAAAAAAGQpWwT7M2fO6OGHH9bkyZOVN29e13xjjN5++229+OKLevDBB1WpUiXNmDFDZ8+e1ezZsyVJMTExmjJlit566y01bdpUVatW1cyZM/XXX39pyZIl3tolALixzZkjPfSQNHVqNm7kkKSnJPWTdCzbthJ3Pk7rD63XuaRz2bYNXCfbt0u7d2d+udWrpYcfloYNkxITs7ysTNu2TerWTXrmGSkmxtvVAAByAFsE+yeffFItW7ZU06ZN3ebv2rVLhw8f1t133+2aFxAQoAYNGmjVqlWSpHXr1ikxMdGtTWRkpCpVquRqk56EhATFxsa6PQAAHvjtN6ljR+mzz6QePaRs+xK1g6QJkj6Q1CVbtnD4zGGVGV9G1SZVU+UPK+vUuVPZsh1cB6+/LpUpI5UoIU2e7Plyp09LzZpZX1YNGya99Vb21eipRo2k6dOlt9+W+vTxdjUAgBwgxwf7OXPmaP369Ro5cmSa1w4fPixJCg8Pd5sfHh7ueu3w4cPy9/d36+m/tE16Ro4cKafT6XpERUVd664AwM1h717r/8ZY/9+zJ5s29I+k5H8fO7JlCwu2LtDB0wclSTtO7tCSnYz0sq2xYy9Mjxvn+XKnTklxcVJKiuTjk42fZw8lJ0sHD154vnSp92oBAOQYOTrY79u3T08//bRmzpypwMDADNs5HA6358aYNPMudaU2gwcPVkxMjOuxb9++zBUPADere+6RatWypitVktq2zaYNvSrrz5ivpKHZsoXKhSpLknwcPvJ1+Kp8gfLZsh1cB1WqSL6+Vji/4w7Pl4uKknr2tKbz5pWeeipbyvNY6hcMqYoX91opAICcI5e3C7icdevW6ejRo6pWrZprXnJyslasWKHx48dr69atkqxe+cKFC7vaHD161NWLHxERofPnzys6Otqt1/7o0aOqU6dOhtsOCAhQQEBAVu8SANz4goOlVaukY8ekAgXcQ0iW6iHpQVnh3pktW6gdVVsLOy3Uj7t+VKsyrVSxUMVs2Q6ugy++kN59VwoIkPr1y9yykyZJI0dKoaGSv3/21OcpPz9rxMFzz1lfNLz3nnfrAQDkCA5jUsdK5jynT5/WnkuGvHXr1k3lypXToEGDVLFiRUVGRuqZZ57RwIEDJUnnz59XoUKFNHr0aPXu3VsxMTEqWLCgZs6cqfbt20uSDh06pCJFimjhwoVq3ry5R7XExsbK6XQqJiZGYWFhWbujAAAAmZGUZI1AuMIIRQCAvXmaQ3N0j31oaKgqVarkNi8kJET58+d3ze/fv79GjBih0qVLq3Tp0hoxYoSCg4PVqVMnSZLT6VSPHj303HPPKX/+/MqXL58GDBigypUrp7kYHwAAgC3kytH/hAMAXGe2/6swcOBAxcfHq0+fPoqOjlbNmjW1ePFihYaGutqMGzdOuXLlUvv27RUfH68mTZpo+vTp8vX19WLlAAAAAABcuxw9FD8nYSg+AAAAAOB68jSH5uir4gMAcFMyRvrf/6TFi62roAMAAFwGwR4AgJxm5Ejprruk5s2l3r29XQ0AAMjhCPYAAOQ0s2dfmP70U+/VAQAAbIFgDwBATnP33RemGzf2Xh0AAMAWbH9VfAAAbjhvvCHdeacUHy917OjtagAAQA5HsAdgSUmRxo6V1q+XunWTmjXzdkXAzcvXV3roIW9XAQAAbIKh+AAs06ZJzz9vnc/bsqV04IC3KwJubvv3S507S+3aSdu3e7saAACQg9FjD8CyZ4/VS5icbPXeHz4s3XKLt6sCbl7duknLllnTO3ZIv//u3XoAAECORY89AEuPHlLhwtb0Aw9IVat6tRzgpnfkiPUlW3KyNQ0AAJABgj0AS7Fi0q5d0tGj0rx5kg+/HgCvGj1aCg6WAgKs618AAABkgKH4AC7IlUsqWNDbVQCQpHvvlWJiJGOsn00AAIAM8C8FAAByKl9fb1cAAABsgLG2AAAAAADYGMEeAAAAAAAbI9gDN6s1a6RFi6SkpAvzYmOlr77intnIcglJCfp227f6/RC3bMtRjJGWL7duq2eMt6sBAABXiWAP3Izef1+qXdu6OFenTta8+HipenXrVncVKkg//+zVEnHjMMaoxawWavVJK90x6Q598tcn3i4JqV58UWrYUGrcWBowwNvVAACAq0SwB25Gc+ZcmJ471+qp27jxQk99SorVcw9kgZiEGC3dvVSS5JBDn2/63MsVwWXWrAvTs2d7rw4AAHBNCPbAzahZswvTd90lORxSmTJSoULWvJQUqxcPyAJhAWGqXKiyJMnIqFHxRl6uCC4X/y5o2tR7dQAAgGviMIaT6jwRGxsrp9OpmJgYhYWFebsc4NoYI82bJ0VHSx07SiEh1vz9+6Uvv5Ruu80K/EAWiY6P1qcbP9UtobeoVZlWcjgc3i4JkpSYaI3gSUmxfhf4+3u7IgAAcBFPcyjB3kMEewAAAADA9eRpDmUoPgAAAAAANkawBwAAAADAxgj2AAAAAADYGMEeAAAAAAAbI9gDsLc335SCgqSyZaUdO7xdDTL0rqRgSSUlbfFyLVls/nwpTx7rdpErVni7GgAAsk9KitS9u3UXlYYNpdhYb1eEf3FVfA9xVXwgBzp1SsqXz7p9n6+v1LWrNHWqt6tCGnGSwiSlSPKV1EHSLK9WlKUKF5YOH5YcDqlqVWndOm9XBABA9lixQmrQwJp2OKS335b69fNqSTc6rooP4Mbn7y8FBFh/WIyxek2RA+WSFCQp9d71ebxXSnZwOiUfH+uRN6+3qwEAIPs4nRem+bdXjpLL2wUAwFULDpa+/FJ6/XXp1lulIUO8XRHSFSDpK0nDJBWV9Jp3y8lqn30mPfecdUrIu+96uxoAALLP7bdLH34ozZhh9dw//LC3K8K/GIrvIYbiAwAAAACuJ4biAwAAAABwEyDYAwBwo1m71rqg0dat3q4EAABcBwR7AIB3nDkjNWki+flJnTtLycnerih7xMVJTZta+9mpU/bv59q1Uq1a0jPPSHfcIe3bl73bAwAAXkewBwB4x6xZ0tKlUlLShekb0ezZ0o8/Wvv5ySfWdHb6+WfrPsOSdPas9Pvv2bs9AADgdQR7AIB3XHzLnPSe3yiu937ee691xwhJioiQ6tbN3u0BAACv43Z3AADvaN9e+vtvqwf74YelO+/0dkXZ4z//kV56SVqyROrYUapZM3u3V7astGWL1VNft66UP3/2bg8AAHgdt7vzELe7AwAAAABcT9zuDgAAAACAmwDBHgAAAAAAGyPYA8g6X3wh5ckjFS4srVrl/trQoVJgoHTbbVl/+61z56SWLSV/f6lDB+vq41cjIUFq3VrKlctaV8GC2X8F84xKSUrQ+F/Ha/TK0YqOj9aAxQMU8HqAakyuoWNxxyRJu6N3K2xkmBzDHKr0QSUlp1z5NmopJkWPLXhM/q/5q9H0RopNiJU0X9IQSVuuvuCkJOtWbv7+0j33SPHxV78uSVq3TipSRAoNlT76yLNlFi+WXnlFWr/een7+vNSmjVVTmzbW81SrVkmRkdbn9YsvrHmnTknVq0sOh/UZePPNa9sH3JzeeUcKCZHKlJG2bfN2NQCAmwTn2HuIc+wBDxQsKB0/Lvn4WBdCW73amr9/vxQVZU37+kp9+0rjxmXddj/+WOra9cLzBQuk++7L/Ho++cQKp6kcDqlCBesCb9fZ4988rknrJsnhcKh64er69eCvkiRfh69euuslDW04VK1mt9K32791LTPt/ml6tMqjl13v//b8T3dNv0uS5JBD79zziPrWnC7re95QSbsl5cl8wd99J7VoceH51KlSt26ZX0+qu++2vlRJSbGu8H7mjPV+ZGT5cqlhQ+uz5+cnbd0q/fqrdYG+VJ99JrVrZ03XqSP98ou1/vz5rc/tW29JAwZcaO9wSCdOSHnzXv1+4OZy+rT1ZVFKivW7rlMnz7+YAgAgHZxjD+D6CwuzgpXD4X5Lr8BAqwdUkozJ+tt9XfpL7mq/fLt0OYfj6td1jdbsXyMjoxSTor+P/S2HrFCbYlIUFmDVlCcwj9syBYIKXHG9oQGhrmkjo7CAw5J8JaVIipG08+oKzqr3IFWePNbx9/Gxeu2v5LffrPYpKdbIi02bLl+T03lh/anzL23v52f19gOe8vOzft+lfglFRwAA4Doh2APIOp9/LjVoYN1He+LEC/MLFLB6S+vUkbp3l55/Pmu327q1NGSIVKOGNGaMVcPVaNFCevVVqVIlqVQpq9d4xoysrdVDj1d/3DX9RPUn9FGbj1Tzlpp6osYTerLGk5KkSfdNUtWIqgrxC1HX27qqVdlWV1xvlYgq+qDFB7rzljs1oPYAdb5tmKTU8FpNUuWrK7huXavHu0YN69Zubdpc3XpSvfOOdP/90l13SV9+efneekl64IELXxiVKiXVq2e9f6+/btU0fLj1PNWECdb73aDBhaH43bpJffpYPfglS1rbDQm5tv3AzSUwUJo/3/pd17699Npr3q4IAHCTYCi+hxiKD+B623J8i+IT41UlooocVwq21+SwrJ76apICsnE72ezECWnzZqlqVQI5AAC4IXiaQ3Ndx5oAAJlQrkC567SliH8fNpc/v9VTDwAAcJNhKD4AAAAAADZGsAcAAAAAwMYI9gAAAAAA2BjBHgAAAAAAGyPYAwAAAABgYwR7AIA9HTsmffONdPiwtysBAADwKm53BwCwn0OHpMqVrXvXO53SH39IxYp5uyoAAACvoMceAGA/P/1khXpJiomRFi/2ajkAAADeRLAHANhPjRpSQIA1nSuXVKuWd+sBAADwIobiAwDsp1Qpae1a6YcfpIYNrWH5AAAANymCPQDAnipXJtADAACIofgAAAAAANgawR4AkPMYI61aZV0kzxhvVwMAAJCjEewBADnPiBFS3bpSo0bS0097uxoAAIAcjWAPAMh5PvrowvTMmd6rAwAAwAYI9gCAnKdJkwvTjRt7rw4AAAAb4Kr4AICc5913rXvTnz8vde7s7WoAAAByNHrsAdjYeUmvS+ohaYN3S8HlffWVVK6cdc58TMyV2+fKJXXtKj32mBQYmP31SdZF+iZMkLp1k3788fpsE8isEyekZ5+VnnxSOnDA29UAAHIIhzFcbtgTsbGxcjqdiomJUVhYmLfLASBJelXSUFnfUYZKOiTpOoVAeO7cOSk4+MLV7WvVklav9m5N6ZkzR+rYUfLxsR47dkjFinm7KsDd/fdL335rTdeokTN/lgAAWcbTHEqPPQAb2ynr11iypFOSYr1aDTJw4oT7Lev27/deLZfzzz9WoE9JkZKScm6duLnt2CElJ1uPf/7xdjUAgByCYA/Axp6SFPLvdG9JhbxYCzJ0yy1SlSoXnv/f/3mtlMvq2lWKiLCmmzSR7rzTu/UA6Xn5ZetUFYdDGjrU29UAAHIIhuJ7iKH4QE51VlZPfYS3C8GV/PGHFZzDw71dScbOn5eOHJGKFLGCE5ATnTpl9djnz+/tSgAA2Yyh+IAdxcVJ99wjBQVZF/BKTvZ2RdkkWVI3SUGS7pEVzq9WsLI61L++4nX5DPOR7zBfjV09NkvXnSOcPCnVq2ed9/7ss+7D5LPC8OFSSIhUtar7xb1uvz1nh3pJ8veXoqKyLtSPGGEdiypV3If2//yzNZIhf37rwoJZxRjpuees97ZOHeu9xo0nTx5CPQDADT32HqLHHtfFpElS794Xnv/wg9S0qffqyTZLJDW76PlESb28VEtauV7NpWRjfakS4Bugcy+d83JFWWzkSOmll6xzySXp99/dh8pfiwMHrN5uSfL1lfr2lcaNy5p1283Bg1Z4l6xj8eST0jvvWM9r1JDWrbOCeESEdOhQ1mzzzz+tL1Ak63oBw4ZZ7zUAALAleuwBOwoNvfzzG8al+5Wz9tPP1y/d6RtG7tzuvfQhIRm3zayAACvEStY2btjPsAcCAqxzoaW0xyIs7MLV97PyGF38Xt7sxx8AgJsIwR7ISdq3l55/XrrjDmnsWKlmTW9XlE1qShor6Q5Jz0vq4N1yLjH7wdnKE5hH+YLy6bP/fObtcrJe797SE09I1apJ//2vVLp01q27QAHrtnE1akhdukgDB2bduu0mf/4Lx+Lhh6VBgy68NnmyNRqnfn3p00+zbpslS0pTp1rv7eOPWw8AAHDDYyi+hxiKD1yNnZK2SaqvC1evBwAAAOAJT3NorutYE4CbympJDSQlSqogab2kAK9WBAAAANyIGIoPIJvMlfTvxdm0SdJGL9YCAAAA3LgI9gCySX1Zt7VzSCogqZR3ywEAAABuUAzFB5BN7pf0g6Q/Jf1HEtemAAAAALIDwR5ANmr678Nze07t0ZifxygsIEz/V///FBrA7boAAACAyyHYA8hRWs5uqS3Ht8jI6NCZQ5r+wHRvlwQAAADkaAR7ADnKzuidSjbJkqRtJ7Z5uRoAAAAg5+PieQBylJfvelmS5Ofjp0F1B3m5GgAAACDncxhjjLeLsIPY2Fg5nU7FxMQoLIyLgAHZ6WjcUQX4BsgZ6PR2KQAAAIDXeJpD6bEHssq5c9J990lBQVKXLlJysrcrsq1CIYVyfqg3Rho0SAoOlmrXlo4f93ZFN7czZ6Rmzaz34/HHpZQUb1cEAABw3RDsgazy6afSN99YAX/mTOn7771dEbLTli3SmDFSfLz066/S++97u6Kb24wZ0o8/Wu/HxInSzz97uyIAAIDrhmAPZJXcuS//HDeWoCDJ4bCmjeH99raQEOt9uPg5AADATSJHB/uRI0eqRo0aCg0NVaFChfTAAw9o69atbm2MMRo6dKgiIyMVFBSkhg0bauPGjW5tEhIS1LdvXxUoUEAhISFq3bq19u/ffz13BTeDNm2kwYOlqlWlUaOk+vW9XRGyU/Hi0rRpUvXqUq9e0pNPeruim1vnzlL//tbP3zvvSHfc4e2KAAAArpscHeyXL1+uJ598UmvWrNEPP/ygpKQk3X333YqLi3O1GTNmjMaOHavx48dr7dq1ioiIULNmzXT69GlXm/79+2v+/PmaM2eOVq5cqTNnzqhVq1ZK5hxoZKVt26TGjaU1a6xzr1N7c7PLxo3S0qVSUpL7/Oho6bvvpMOHs3f7l3E28ay+3/G9dkXvcpsfHR+tRTsW6dDpQ27ztxzfoiU7l+h88vnrWea1e+QRae1aacIEKTDw2tf399/WEPLMnB++d6+0aJF1jnl2WLdO+t//3HvDc6JcuaRx46T166V+/bxdDQAAwPVlbOTo0aNGklm+fLkxxpiUlBQTERFhRo0a5Wpz7tw543Q6zYQJE4wxxpw6dcr4+fmZOXPmuNocOHDA+Pj4mEWLFnm87ZiYGCPJxMTEZNHe4IYyf74xPj7GSMY0aWJMSkr2bm/2bGtbkjH33Xdh/rFjxkREWPPDwoz555/srSMdCUkJpvIHlY2Gyvi96mdW7llpjDHmxNkTJvKtSKOhMrlH5Dbbjm8zxhjz1ZavjM8wH6OhMo2mNzIplz12/zXGVDDGdDLGnM7uXbm+pky58J526+bZMuvWGRMQYC1TurQxcXFZW9PYsRdqeuKJrF03MichwZjevY0pX96YN9/0djUAAOA68TSH5uge+0vFxMRIkvLlyydJ2rVrlw4fPqy7777b1SYgIEANGjTQqlWrJEnr1q1TYmKiW5vIyEhVqlTJ1SY9CQkJio2NdXsAGfrkkws9mj/+mP1XSJ89+8L0119LqaNYVqy40FMfGystXJi9daRj87HN+uvoX5KkFJOiuZvnSpJW7l2pg6cPSpLOnD+jhdut2ub8Pce17LLdy3Qk7kgGa94nqaekTZLmSHo7W+r3mmnTLkzPmOFZD/n8+VJiojW9fbv0++/ZV9NHH2XtupE5M2ZYFwXcvFkaMMAamQAAAPAv2wR7Y4yeffZZ1atXT5UqVZIkHf43wISHh7u1DQ8Pd712+PBh+fv7K2/evBm2Sc/IkSPldDpdj6ioqKzcHdxo6te3gpjDIZUuLf375VO2bk+ytle5snWLL8k6vzh1SLiPj1SrVvbWkY5b896qgsEF5ZBDySZZ9YrWkyRViaiioFxBVmkOH9WOqi1Jql+0vlJMihxyqGTekioQXCCDNSdKSg27DknnsnU/rrt61nGSwyHdeadnp3LUq2cN23c4pDx5pHLlsramRo0u1MQ1I7zr3Dn3z0RCgvdqAQAAOU4ubxfgqaeeekp//vmnVq5cmeY1xyX/ADbGpJl3qSu1GTx4sJ599lnX89jYWMI9Mvbkk1JkpLRnj/Tww5Kvb/Zu7/nnpWLFrN75zp0v/IO/RAnr1muLFllBrHr17K0jHaEBoVrbc60+3/S5bgu/TXeXtEbLFHUW1dqea7Vw+0LVK1pPd95ypyTp8eqPKyJ3hHaf2q1OlTspl09Gv5ZulTRc0puSKkt65jrszXX0+utS2bLWNRK6dfNsmebNress/Pab9OCDUv78WVvTW29ZXxadPWtdTwDe0727dQvNn3+2Ph9e+NIOAADkXA5jcvoVkaS+ffvqyy+/1IoVK1SiRAnX/J07d6pkyZJav369qlat6pp///33K0+ePJoxY4aWLl2qJk2a6OTJk2699rfffrseeOABDRs2zKMaYmNj5XQ6FRMTo7CwsKzbOeBabNokvfuuFBVlhX1/f29XBAAAACCLeJpDc/RQfGOMnnrqKc2bN09Lly51C/WSVKJECUVEROiHH35wzTt//ryWL1+uOnXqSJKqVasmPz8/tzaHDh3S33//7WoD2FJiotSwofTf/0ovvyy9+qq3KwIAAADgBTl6KP6TTz6p2bNn66uvvlJoaKjrnHin06mgoCA5HA71799fI0aMUOnSpVW6dGmNGDFCwcHB6tSpk6ttjx499Nxzzyl//vzKly+fBgwYoMqVK6tp06be3D3g2pw9Kx07Zk37+FgXTwMAAABw08nRwf7DDz+UJDVs2NBt/rRp0/Too49KkgYOHKj4+Hj16dNH0dHRqlmzphYvXqzQ0FBX+3HjxilXrlxq37694uPj1aRJE02fPl2+2X0eNJCdnE6pTx/pgw+sC+Zx724AAADgpmSLc+xzAs6xR461f78V8i/6MgsAAACA/d0Q59gD2eLMGetq4iEh1tXs7f7dVpEi1y3Uj145WmEjw1RtUjUdiD2QqWVTTIp6fNVDwcOD1WJWC51NPJt1hW3ZYt3qLW9e93uvX4tdu6TbbrNuIzd+/IX5b79tfZFy++3WXRDS8/vv0q23Wlep/+yztK//8ot1V4OCBaWvvsqaeu3qzTelsDDpjjusL6lOnrTu6JA7t/TCC+4/n54c++tp3z7rrgGhodZ+AAAAeAk99h6ix/4G8t570tNPXwgMK1dKdet6tyYbOHT6kCLHRkqSfB2+eurOp/T2PW97vPySnUvU7ONmrueTWk1Sz2o9s6a4du2kefOse7r7+Vlf3lzrHQIee0yaPl1KTrauYXDypDVdoID12fH1tdpMmJB22aZNpWXLrHpCQ6XYWPfX69Sxwn1KihXujx69tlrt6sgRKSLCmvb1lZ54QgoPl4YMsY6NJP31l1SpknX8PTn219NTT1k1JCdbz48ckQoV8m5NAADghkKPPZCRkBD3XsDgYO/VYiP+vv7ydVjXpTAyCvELydTyuf1zX/b5NcmdW3I4rEdAgBXEr1XIRfuXK5f7I7026dXj45P+5+vi1zNax83A3z/t8bz05zMoyPq/p8f+esqd+0Ktfn7cbhIAAHhNjr54HpAtunaV/vhDWr5c6t7dGkqLK8ofnF+ftP1Eo34epXIFymlQvUGZWr5WkVp6o9kbmvXnLDW9tanaV2yfdcWNGiVFR0uHDknDh7sHwKs1ZIi1vl27pFdeuRAkP/tMev11qVQp6zaD6Xn3Xen8eenUKemNN9K+PmGC9Pjj1p0Nxo279lrtKm9eac4caeRIqUwZafBg64uZLVukX3+1esRLlrTahoV5duyvp8GDreH427ZZ03nyeLsiAABwk2IovocYig8AAAAAuJ4Yig8AAAAAwE2AYA8AAAAAgI0R7AEAAAAAsDGCPQAAAAAANkawB3BjOXFCev556bnnpGPHvF0NAAAAkO243R2AG0uXLtLixdb0H39IS5Z4tx4AAAAgmxHsAdxYtmyRkpMvTAMAAAA3OIbiA7ixvPSS5OMjORzSyy97uxoAAAAg29FjD+86dkyaP18qX16qX9/b1eBG0L27dN99kjFSoULergYAAADIdvTYw3vOnZNq1JB695buukuaNy/rt3HsmFSnjhQWJg0YINWsaU0PH5627fffS4ULS1FR0sqVmdhIiqTHJYVIukdSfUkOSb6SgiS1kdRHUm5JzSWdkfTSv+3DJIUoMXmAWs1uqdwjcqvX172UYlKuuNXhK4YrdGSoakyuocNnDmfYzhijAYsHKPeI3GowvYFOnTvl9lrfhX3l+6qv8ozy1e5TTkmB/z46S0rKxHGQ9NVXVpguXlz69ddLCh5uHfsaNaTDl9S7ebNUtqyUN680fXrG609MlDp0kEJCpIcesp7v2ydVrSo5ndLYsVa7ggWzJtS/+KKUO7cUEWFt8777pPj4a1/v9bBxo1SmjJQvn/TRR96uBgAAANnIYYwx3i7CDmJjY+V0OhUTE6OwsDBvl3Nj2LxZqlDBmvb1lXr1kj74IGu38dJL0qhRF8659vGRUv4Nzbt3S8WKXWhbvLi0d681fdtt0oYNHm5khaQGHrZ1SBosaUSaVyp9IG389yLuP3b9UY1LNM5wLfti9qno20UlSb4OXz1T6xm9cfcb6bbdcHiDqk6sKknycfhoeOPheqHeC5KkTcc2qeIHFf99TXrlLmlIw4uXXiDpPg/3TVaYPnbMOs41a0qrVv1b8D6pqFWvfH2lZ56R3rio3rZtpS+/tN4bf3/pzBnJzy/t+j//XGrf/sLzL76Qli6VJk688B4fPWoF+2t18efzYv/9r9Sjx7WvP7u1aSMtWGAd04AA65jmYpAWAACAnXiaQ+mxh/eUKnUhOBkjtW6d9dsIDrbWfSkfHyvsXNrW4bAewcGZ2Ugm2hpJobICvrv4izrHg/0uv05/X3/5OHz+XaNRiH9Ihm2DcgVd2LoxCvELyeA1KThNls54vekKDr5wfnvIRcv6+1vzUzcUcsl6c+e+cOwDAi60TVNOSNrnISEX3mM/v/S/ELgagYFWPZfK1GfDiy7+PAcGZnxMAQAAYHt038B7/Pyk1aulH36whgxXrpz12+jfX9q2zbrt2eOPW0Ps//7bGpYfEeHedvZsqV8/q1czUyMHqksaK2m6pMaS4iTNlDWcPVzWUPyC/75+l6TnJEVIeltSvKRApaQ8pfvLbtaSnUvU5bYuqlWk1mW3GJ47XDPbzNSbq99UxYIVNaDOgAzbli1QVhNbTdSHaz9UzSI11ataL9drJfKW0Hv3vqdXlr2iUP8Uta94i6TYf2t/RFKjTBwHSZ99Zh3zkBBpwoSLCg6XZs6U3nxTqljROv4XGz1aiomRDh2SRoywevXTc++90iuvWL37bdpIzZtLtWtL+/db7/P//Z+UJ0/mas5IiRLSlCnSe+9Zn4mzZ63tXTxiICd7802rl/7wYWvUCsEeAADghsVQfA8xFB83ByNptaxrA1T1ci0AAADAzY2h+ACuQn9JdSXdIWmcd0sBAAAA4BGCPYCLTLtoeorXqgAAAADgOYI9gIvU04UL+3l6pf8c6MwZ6Z57rNvrPf10+hdQBAAAAG4QBHsAF/lc0juSJsu6uJ9NTZ0qLV4snT4tvfuutGaNtysCAAAAsg3BHtnv4EHrvuUvvWQFreu1vRdflGJjs3FDiTqd8JpeWlpdzyzqqoOnD17VWraf2K6nFj6l4SuGKyEp4Yrt98fuV/9F/fXy0pd15vyZq9pmGmfOSLt2SSZYUl9Jj0nKxG3jkpKsq7D36SP99VfW1HQtgoLce+mDgjJuezlr1ki9e1t3SciOXv+ZM6WePaXvv8/6dQMAAOCmwe3ukP3uu8+63Zwx0u7dVpjJTq1bSxs2XNjerFnZtKGRevzbIZrzt+TQOv1v70b91mtdptaQYlLUaEYjHT5zWEZGsQmxGt1s9GWXaTm7pTYe3Sgjo/2x+zXtgWmXbX9FGzZIDRpYX4K0bSt9/nn692+/nDfftG415+MjzZkjHThw9WE6Kzz6qPWZW7FC6tFDqlIl8+s4dkxq3Fg6f15KTrbuBd+9e9bVuGiR1KWLdWu/qVOljRulcuWybv0AAAC4aRDskf22b7eCkSRt3nwDbW+bthyXUv7tyN12Ylum13Au6ZwOnD4gSXLIoa0ntl5xme0ntivZWPu3+XgW7N/kyVJcnDU9d660c6dUsmTm1rFtmxXqk5Ol6Gjr4c1g7+cnjR9/bes4eFCKj7emfX2lrVd+bzJl27+fl9TP6s6dBHsAAABcFYbiI/u9+KL1f19fadCg67u9F17Ixg09qUF1/eX7b+f2i/VfyvQagv2C9XTNpyVJ/r7+6lez3xWXebG+tX+5fHJpYN2Bmd5mGmXKWOHS11cKDZUKFcr8Op54wurRlqTOnaXIyGuvy9sqVbIuwCdJTmfW9tZLUvv2UtGi1nSNGlKjRlm7fgAAANw0HMZwuWhPxMbGyul0KiYmRmFhYd4ux34OHpT8/aUCBW6w7cXq+Nl/dD65kCJDb7nqteyN2auwgDDlCczjUfsDsQcUmCtQ+YPzX/U2XZKTrd7tLVukXr2kqlWvbj2nT0snTkjFimV+KH9OZYx17YGICCk4OOvXf/68tH+/dcx8fbN+/QAAALA1T3Mowd5DBPsbRYqk3pI+ldRY0hxJ//Y064yk/0j6WdKjkt7VhVu/XV8bDm/Qfz77j2ISYvRhyw/1nwr/uYq1LJTUQ1KApE8k1c7SGgEAAABkL09zKEPxcZP5UdJ/JZ2W9JWswJtqmqTFsgL+eEmrrnt1qZ5f/Lx2ndql42ePq/tXVzsEvJekw5L2ybrSPQAAAIAbEcEeN5lLL+h28fNgSeaS594R7B8sx7//Bfld7UXogmX9iDskhWRdcQAAAAByFK6Kj5tMXUkjJM2SdLekdhe91lXS75JWSOou6SrPNc8C797zrhKSEhR9Llpv3f3WVa7lE0lPyxqK/2HWFQcAAAAgR+Ecew9xjj2ySnJKsoYtH6af9/2sR29/VF1u7+LtkgAAAADkQJ7mUHrsgets5p8z9dqK1yRJS3ctVbXIaqpQsIKXqwIAAABgV5xjD1xnx88el4/jwo/eyfiTXqwGAAAAgN0R7IHrrFvVbqoSUUWS1KlyJ9WJquPdggAAAADYGkPxgessX1A+reu1TkkpScrlw48gAAAAgGtDjz1uCifjT+qFJS9o4A8Ddfzs8Su2/+GfH9T7696a/dds17xjccf0/OLnNeiHQZkYPv+bpCckjZeU4vZKtob6jz6SeveWli3L3HJ//CH16SO9/baUnHxh/l9/WfPffFNKSvJ8fQkJ0ogRUt++0vbtmavFW+Ljpddek55+Wtq1y9vVZGz1aus9njBB4hqol/frr9Ljj0vvvy+lpFy5PQAAgM3QXYibQtf5XbVoxyJJ0obDG7S4y+IM2249vlX3zrpXkjRp/STlC8qne0rdo45zO+qn3T9JkjYe26hvOn1zha2ektRQ0jlJyZL8JPW+pv3wyIIF0iOPSL6+0tSp0rZtUokSV14uLk5q0EA6c+ZCqO/f3wq6DRpIsbFWKEpOlgYN8qyWYcOkUaMkHx9p/nxp715rOicbPFh67z3J4ZC+/db6QsLh8HZV7o4ckRo3lhITrfcjKMh6z5HWiRNSo0bWl0zJyZK/v9Szp7erAgAAyFI5/F/YQNbYdGyTkk2ykk2yNh3bdNm2O6N3utpKVtCXpM3HN7vmbz6+2YOtHpIUJyvU+0ryZJkssGWLFUSTk63edU97nY8dk2JirOV8faXN/9YbHW09kpOtUL51a+ZqkaxlDxywviTI6TZtsnrAk5OtY3fxyIWc4sAB6dy5C+9VZt6Tm82hQ9LZsxwrAABwQyPY46YwuN5gOf7978X6L162bcPiDXVH4TskSUXCiqh9xfaSpBfrvyiHHPJx+Oj/6v2fB1stK6nVv9Ohkh676vozpWNHKSLCmq5VS6pb17PlihWT2rWzpoODrWHeklS4sNS5szUdGGgNafbUU09ZPaSS9OSTUkiI58t6yzPPSLn+Hcw0YMCF6Zzk9tulZs2s6Tx5pEcf9WY1OVuFClKLFtZ0WJjUvbt36wEAAMgGDmM4OdMTsbGxcjqdiomJUVhYmLfLwVU4cuaIjIwickdcsW1ySrJ2Ru9UUWdRBeQKcFuHw+FQoZBCHm7VSNopKVxS7qsp++qcOyft328Nwff19Xw5Y6xe6oIFpdBQ9/l79kj587vP98SpU9ZIgGLFMrecN508aZ2aEBXl7UoyZoy0c6f1xUtwsLerydlSP9fh4fb4cgkAAOBfnuZQeuxx0wjPHZ5hqD+XdE4PfvqgwkaGqfc3veVwOFQ6f2m3UJ+6Ds9DvSQlSRoqqZiknrKG5Weh48elu+6yem1ff/3C/MBAqVSpzIV6yRrCf+utacO7wyEVL575UC9Ztdkp1EtSvnw5O9RL1ntSsiSh3hOpn2tCPQAAuEER7AFJs/+arflb5uv0+dOatG6Slu5amkVrnidppqSTkv4raeG1re70afdzvt9+W1q1yuoRf/llqwcXAAAA+P/27j3Opnr/4/hr7bnPNDOGwcwgkTDGfUbulKJTrumXOuQSKqVzRspBKn6n3Cr9OhK6kE6XI52DdOG4hJLLuMzIncg1cokhl2Fmf39/rOyxGWNmbPZs834+HvvRXmt913d9Ft+HR5/9vUmRosReBAj2D871uOACr3CcD08/bc8RLlMme1G64ODsrc4sK3s+e1Gya5e9Nd3//q+9SFpBXG6bPxERERERH1AIV4USuf4eSniIlftWMnfHXLrU6ELjcnlccO6K2gPPAF8B/wO0Klg1e/bYe3CDPfx+7FgYP95e6G3LFkhLg/79oWxZj0TtU1q1gu3b7R84fv3V/nPJj4u3+XM67T9LEREREREfocRerjMnsAKIABLyfFemM5Nle5YRGx5LpeKVANiTvoeffvuJhuUaXlUPe0ZmBsv2LuOZhs/wf3/6vxxK7Pzj04j897g7gDfsj9MJy5dBVBTEx+evmshIe6/yjAy7njJl7PNhYfDRR/mMyQtWr7aT5nr1PLsnvNNpJ/VZWXa950cy5Mfhw/ZUBtB2aCIiIiLikzQUX66zPtgJcnXsOedXZozh/qn302xKM6qMq8IXm79g+d7lVHqrEi3+2YJGkxpxLutcgaLJcmbRfEpz7vzwTiqNrcSS3UsuKvEtcBtwJ3AX9g8TBdSzp731XLVqMGVK/u6NiIA5c6BjRxg82N6GzVeMGAFJSVC/vr0OgCc5HDBwoP3d379gPe033wyd7C0N3bb5ExERERHxEdruLo+03Z2nBALnk/CGwNJcS6/Yu4IV+1aQPCcZAAuLB6o9QLmIcoxdMZYsY8+HXttnLTVL18x3NJsPbyb+bbv33M/yo09SH8bdN+6CEo8BH5C9mv0OoEK+n4PTCQEB9n/BXsl+8eL813Ox+fNh3z544AG46Rpspzd3Lhw4YP+gUND6K1a0txoDe7uxAwc8F995e/bYoxeKFy/Y/Zfb5i8nv/0GM2dClSr2DzUiIiIiIteItrsTL3odiAIaABcncbcD54di554Uzd42m4aTGpI8Jxl/yx8LC4OhYdmGNCjbgCyThYVFiZASVChWgGQbKBdRjlJhpbCwyDJZNCzb8KISDbCTeguI++NTAA4HJCba/wVo0qRg9VxowgRo2RJ69IAWLbIX0SuojRvt0QSlSsGnn9pz+u+5B7p3t+exF7T+Jk3sYfKW5Zn3zkm5cgVP6uHy2/xd7OxZe+RBr172u/znPwV/poiIiIiIh2iOvXjYL8CAP76vAl4Dxlxw/StgMhAJdM+1prnb5+KwHGSZLDJNJsn1k6lfpj4PV38Yy7II8Q9h3cF1PFz9YcKDCrC/OhAWGMaK3iv417p/EV8yng5VO1xUoidQDNgGdAGCKLA5c+CDD+wEtFu3gtdzYX3nrVxpL/5WkH3mz3v+eXt+udNpJ6533ZV9bdkye8X5guwD/t570LChPQ++V6+Cx1cY7N4NP/1kf3c44L//tUdLiIiIiIh4kRJ78bAA7IEgTsAAFy9qVwzI2zzoNpXbMDZlLAC3Rt3KqLtHuS2S17ZKW9pWaXvVEd9S7BYGNx18masW4KHErXhxePZZz9QF0L49zJplf2/W7OqH4gcHZ/esBwVBu3bw9df2tTvusOefF0RQEDz55NXFVlg4HPbf42+/2SMY2l59+xMRERERuVqaY59HmmOfH58Co4F44F3sFfAL5sdff2TjoY3cc+s9RIVEeSi+G8jSpfDLL9C6tb1q/tXYtw9694ZDh2D0aLvH/ocf7Dnx99139fXfCKpVs0c1GGOvO/Dvf3s7IhERERG5geU1D1Vin0dK7EWKOGMgMBAyM+1jTy2AKCIiIiJyGVo8T0TEkyzr6rfWExERERG5BtRjn0fqsRcRwF5ALzQUoqO9HYmIiIiI3ODUYy83hMOnDtPsg2YUH12cEd+P8HY4OZs1C+Li7H3NU1O9HY3nzZxpv1/VqrB2rbej8b6bb1ZSLyIiIiKFinrs80g99t7xwrcvMGrJKLJMFgA7/rqDClEF27P+milRwl4l3eGApk1h0SJvR+RZUVFw7Jj9fnfcAQsWeDsiEREREZEiQT32ckMI8gvCYP/2ZGER4Bfg5YhycOE2ccEXb+93AwgKyn4/rYwvIiIiIlLoaB97KdSeafgMmw5vYu2va3m24bOUjSjr7ZAuNW0aJCdDRAS8/ba3o/G8zz+HZ56ByEh46y1vRyMiIiIiIhfRUPw8KrpD8TcB6cDtXDjAwxhDyr4UwoPCqVayGgCzt81m57GdJJRKIOamGCqXqJxrzU7jZMXeFUSFRFE1uuq1ewVv2LrV3g++QQPw8/N8/WfOwIoVcOut9vH27fazgoLyX9eBA7B5M9SrB2Fhno1TREREREQKLK95qHrsJReTgV5/fO8NvOe68uTXT/LO6ncAeK/te6TuT2X8qvGu6xYWU/9nKp0SOl229l6zejElbQoAU9pPoXvt7h6O30umTYOHH7b3Pe/UCT77zLP1nzsHjRvDmjUQEJB9LjERli3LPpcXGzfC7bfDyZNQubJdp5J7ERERERGfojn2kovJrm/GTObLLbOYun4qGZkZTE7Nvvb+mveZun6q250Gw4drP7xszU7j5J9r/5n9pLTJl5T5btd3fJj2Ieln0q/mJa6PXbtg0iQ7Uf7wQzupBzvJP33as8/atMlOwAEyM+0PwOrVds97fkyfDqdO2d+3boWUFM/FKSIiIiIi14V67CUXjYAfAIuhi2J5+bv2ANxf9X7qlanH8r3LcRonjco1ItAvkO93f+92d4MyDS5bs8NyUDe2Lmv2r8FpnNQvU58PUj/gbNZZutXqxozNM+gyvQsA1ZZW48c+P+LnuAZD2j3hl1+gZk04ftzuLX/sMfu8wwHx8Z5fUO+WW+yV+I8eBacz+1lRUfa1/Khf3/4R4vzCePHxno1VRERERESuOSX2kosRQGXgGF9u/SewD4DZP81m/7P7mbRmEhFBETxa51GcTidPfv0ku9J3USemDtVLVadrra651v7fR/7LpDWTKBFagpR9KfSc1dNVf3hQOA7LgdM42XhoIwd+P0CZiDLX9nULKiXFTurBHhJfuTJMmQK//gqPPmonzZ4UEWHPr586FWrUsM+tW2cP/w8Pz19dLVvC3Ll2fR07QkyMZ2MVEREREZFrTovn5VHRXTzP9sp3r/DiwhcBuK34bXzS8RPqlannsfqrjqvKliNbACgWXIx327xLp3/b8/Nrla7F6se/wM8xFigGPAuEeuzZV+3AAahWze5BDwqyh8QnJHg7KhERERER8XFaPE88akjTIZzJPMPw74ez4+gOmk1pxs/JPxNzk2d6eHvU7sHgBYMB6FarGw8mPMiKYiv4+ejPtK7cGj9HI2AjYIC9wDseea5HxMTYPeaLFtlD2ytV8nZEIiIiIiJShGjxPMkTy7JwWA4cloMsk8WZzDPsPLYTp3Hy8uKXuefje/jkx09c5Z3GybBFw/jTx3+6ZGE9gF3HdvHwvx+m0+ed2P7bdgY1GcTyXsv5rsd3vHnPmwDcXuZ2Hqr+EDcF3gRsBrIAJ7Dh8oEaAyNGwD332IvYXS9lykCXLp5N6tPT4YknoG1bWL7cc/WKiIiIiMgNRUPx86ioD8VfumcpGw9tZMC8ARw7c4xGZRuxqMcipm2YxiMzHnGV2/DUBqqVrMaUtCk8+sWjgL313eanN2NhseHQBu685U7a/qstKft+4O6KUDKsKh+0zyVZB+BF4BXAD5gGdMy52LRp8NBD2cdr19rz0Bcvtheau/NOz89537MHVq2yt6ArVcpz9fbtCxMn2t8jI+HQIfArpAsIXo0ff7R3Fbj7bnsBPxERERERATQUXzxozNIxPDfvOQA6JXTixWYvEh8dj5/Dj4MnD2JhYbB/Hzp08hCUhNT9qa77DYbZ22YzYN4AzjnPcWvUrViWxacPOOkYD/YQ+3eAJ3KJ4mWgN/bc+pKXL3bwoJ24n/+96tAheP55GDXKPu7fH8aMKdCfQ45++glq17b3gS9RAjZsgNKlPVP3r7/a/3U67d77s2dvvMT3iy/g/vvtv6/bb4dly+wV/kVEREREJM/0f9ByWesPrqfa29Vcc98BPt/wOeUiyrm2nuteuzu1YmoB8GC1B2lycxMAQvzdE9Dle5aTZbIA2H50O08kPvZHUn/eZ3mIqDy5JvUAjzwCdeva3++/H5o3h0+ypwjwr3/l4Tm5+Oc/7cS9dm3Yvt1eUf7kSfvakSPw/fe53p4vzz9v/1jg52f/MHGjJfUA//lP9giKlBR760AREREREckXJfZFnDGG9DPpHD19lNPnTrtdGzB3AFuObOGc81x2eQxvpbzFz0d/5ujpoxQPKU7qE6lkvJDBtAenuRL++yrf57onKjiK+yrfh9PYe66XDC3JY3WfwJgmFzzt7rwFfPJk9t7tOSlWDL77zl6p/vPPISPDnm9/XsuWeXtOTjIyoHdve1TA+vXw0kvQpAn4/zHwJTQU6nlupwDq1rV77U+fhgEDPFdvYdKiRfbf5223abs9EREREZECUGJfhP1+9nduefMWio0uRvFXixM6IpTXf3jddd3fz5+clmB4ceGLVBxbkeKvFqfLf7oAEOgX6FamanRVbo64GYBg/yC6zexGmXB4+c6SrH58HpHBkVjWbOBdYDowmFwZA336wE03QfnysGNHzuVGjYKwMDtBDAmxy4eFwUcf2Yvpvf9+Xv94LmVZdhJ/voc5MBBq1oSVK2HsWFizxo7NkywLAgI8W2dh0qMHzJkD48fD0qXZP5KIiIiIiEieafG8PLoRF897Zs4zvLniTbdzfpYfGS9k4Ofwo9+cfvxjxT8ACA0IpVxEOfad2MfvZ393u8cMvbQJjV4ymue/fd7VSw/gsOCFpvC/d44B+ucv2J9+snt0wR6a/te/whtvuJcxxk62MzMvvX/fPoiLy98zc/L11/YQ+bg4mDwZYmOvvk4REREREZEc5DUPVY99EXbi7IlLzkUERuCw7Gbxy4lfcPzRRE6dO8WK3iuIDo12K+9v5dzDGhse65bUAzgNxIUDFCDBLlbMTtotyx66nVOSbll2uYvPhYRAeHj+n5mT1q3tlfZnz1ZSLyIiIiIihYLGvRZhLzV/ianrp3Ly3EnXucS4RKw/hpo/Ve8pZm2ZRUZWBr3q9CIyOJLx942n9aetMRj8Hf7M7jI7x7ofqfkI+47vY/ne5SSUSmDjoXkkxp6gd91HgYdyvCdX0dHw1Vf2kO1q1SA5OedyCxfaC+gdPQrx8fa89379PJfYi4iIiIiIFDIaip9HvjIUf3f6bubvmE+dmDpsOryJ6NBoWlZsyaFTh/hm2zdkmSwCHAG0r9Ke05mnmbl5Ju+tfo81B9a46vh98O+EBYYB8Nvp3/jt9G+uLeouPFehWAW+2fYNZzLP0KFqBwL8cpsLvh5YCbQCyuTtZc6cgRkzICrKXgAvv/vPHz0Ks2ZBlSqQlGRvrebnB+3aaUs1EREREREp9LSPfRH0y4lfqDmhJukZ6W57y49oMYLxq8az9/heV9n46HiOnD7i2ocewGE5qFyiMqEBoa5yxUOKUzykuNtzzp8bNH8Qo38YDUDn6p355IFPyNlKoBGQCZQANgPRlyl7gY4d7SHvYC+KN3Dgle857+xZqF8ftm2zj++6CxYssL8nJ8Obb+a9LhERERERkUJM3ZY3kJR9KaRnpAO4knqAzzd+7pbUA2w6vImDJw+6lQ0LCGPr4a08/uXjl8yPz8kXW75wff9629e5lFwAZP3x/QiwJpeyfzAG/vvf7OMvv7zyPRfatSs7qXc44Icfsq/NmpW/ukRERERERAoxJfY3kAZlGxAVHAXg6oUHWPvr2jzdf+LsCZw4eT/1fVbsXXHF8h2rdnR9b1elXS4lW5I9OKQkkHjlYCwL7rsv+7hDhyvfc6FbboGqVe3vTic0a5Z97f7781eXiIiIiIhIIaY59nnkK3Ps9x7fy6Kdi6hdujb1J9Xn1LlTrmsWFtVKVmPDoQ2uc61va51jb/uGpzZQrWS1XJ9ljGHOT3PIyMqgTeU2+Dtym9mxCVgN3AXkcTX5jAy7pz4qClq0yP8c+/R0e3u6ypWhTh37u58f3Huv5tiLiIiIiEihl9c8VIl9HvlKYr8nfQ+DFwzmnPMc3/78LYdPHXZds7B49e5X2f/7fpbvXU7vur3pXKMzz817jjW/rKFEaAmOnDpCzzo96VW3lxffQkRERERERLR4Xg7Gjx/Pa6+9xv79+0lISODNN9+kadOm3g7Lo7rP7M53u74DcO1HDxDgCOBvjf9GcoPkS1avf+vet65rjCIiIiIiIuI5RWY88meffUa/fv0YMmQIqampNG3alHvvvZfdu3d7OzSP2nt8L1kmiyyThb/DH4flwGE5aF6+Oa+0eOUKW9KJiIiIiIiIrykyQ/Hr169P3bp1mTBhgutcfHw8HTp0YOTIkVe83xeG4n+09iO6z+yOweBn+TGp3SR2pe8i05lJvwb9Ltm2TkRERERERAovDcW/wNmzZ1m9ejWDBg1yO9+qVSuWLl2a4z0ZGRlkZGS4jo8fP35NY/SE0T+Mdm1dFxEUQffa3b0ckYiIiIiIiFxrRWIo/uHDh8nKyqJ06dJu50uXLs2BAwdyvGfkyJFERka6PuXKlbseoV6VhJIJOCwHfpYf8SXjvR2OiIiIiIiIXAdFosf+POui7dKMMZecO2/w4MH079/fdXz8+PFCn9y/1+49bitxG2cyzzCg0QBvhyMiIiIiIiLXQZFI7KOjo/Hz87ukd/7gwYOX9OKfFxQURFBQ0PUIz2MigiJ4pcUr3g5DRERERERErqMiMRQ/MDCQxMRE5s2b53Z+3rx5NGrUyEtRiYiIiIiIiFy9ItFjD9C/f3+6du1KUlISDRs25N1332X37t306dPH26GJiIiIiIiIFFiRSewfeughjhw5wt///nf2799P9erV+eabbyhfvry3QxMREREREREpsCKzj/3V8oV97EVEREREROTGkdc8tEjMsRcRERERERG5USmxFxEREREREfFhSuxFREREREREfJgSexEREREREREfpsReRERERERExIcpsRcRERERERHxYUrsRURERERERHyYEnsRERERERERH6bEXkRERERERMSHKbEXERERERER8WFK7EVERERERER8mBJ7ERERERERER+mxF5ERERERETEhymxFxEREREREfFhSuxFREREREREfJgSexEREREREREfpsReRERERERExIcpsRcRERERERHxYUrsRURERERERHyYEnsRERERERERH+bv7QB8hTEGgOPHj3s5EhERERERESkKzuef5/PRy1Fin0cnTpwAoFy5cl6ORERERERERIqSEydOEBkZednrlrlS6i8AOJ1OfvnlF8LDw7Esy9vh5Oj48eOUK1eOPXv2EBER4e1wRHKkdiqFndqo+AK1U/EFaqdS2PlCGzXGcOLECeLi4nA4Lj+TXj32eeRwOChbtqy3w8iTiIiIQtswRc5TO5XCTm1UfIHaqfgCtVMp7Ap7G82tp/48LZ4nIiIiIiIi4sOU2IuIiIiIiIj4MCX2N5CgoCCGDh1KUFCQt0MRuSy1Uyns1EbFF6idii9QO5XC7kZqo1o8T0RERERERMSHqcdeRERERERExIcpsRcRERERERHxYUrsRURERERERHyYEnsRERERERERH6bE/gYxfvx4KlSoQHBwMImJiXz//ffeDkmKiJEjR1KvXj3Cw8MpVaoUHTp0YMuWLW5ljDEMGzaMuLg4QkJCuOOOO9iwYYNbmYyMDP7yl78QHR1NWFgY7dq1Y+/evdfzVaQIGTlyJJZl0a9fP9c5tVMpDPbt28cjjzxCiRIlCA0NpXbt2qxevdp1Xe1UvCkzM5MXXniBChUqEBISQsWKFfn73/+O0+l0lVEblevtu+++o23btsTFxWFZFjNnznS77qk2efToUbp27UpkZCSRkZF07dqVY8eOXeO3yzsl9jeAzz77jH79+jFkyBBSU1Np2rQp9957L7t37/Z2aFIELF68mL59+7J8+XLmzZtHZmYmrVq14uTJk64yr776Km+88Qbjxo1j5cqVxMTE0LJlS06cOOEq069fP2bMmMHUqVNZsmQJv//+O23atCErK8sbryU3sJUrV/Luu+9Ss2ZNt/Nqp+JtR48epXHjxgQEBDB79mw2btzImDFjKFasmKuM2ql40+jRo5k4cSLjxo1j06ZNvPrqq7z22mu89dZbrjJqo3K9nTx5klq1ajFu3Lgcr3uqTXbu3Jm0tDTmzJnDnDlzSEtLo2vXrtf8/fLMiM+7/fbbTZ8+fdzOVa1a1QwaNMhLEUlRdvDgQQOYxYsXG2OMcTqdJiYmxowaNcpV5syZMyYyMtJMnDjRGGPMsWPHTEBAgJk6daqrzL59+4zD4TBz5sy5vi8gN7QTJ06Y2267zcybN880b97cJCcnG2PUTqVwGDhwoGnSpMllr6udire1bt3a9OzZ0+1cx44dzSOPPGKMURsV7wPMjBkzXMeeapMbN240gFm+fLmrzLJlywxgNm/efI3fKm/UY+/jzp49y+rVq2nVqpXb+VatWrF06VIvRSVFWXp6OgDFixcH4Oeff+bAgQNubTQoKIjmzZu72ujq1as5d+6cW5m4uDiqV6+udiwe1bdvX1q3bs3dd9/tdl7tVAqDWbNmkZSUxIMPPkipUqWoU6cO7733nuu62ql4W5MmTViwYAFbt24FYO3atSxZsoT77rsPUBuVwsdTbXLZsmVERkZSv359V5kGDRoQGRlZaNqtv7cDkKtz+PBhsrKyKF26tNv50qVLc+DAAS9FJUWVMYb+/fvTpEkTqlevDuBqhzm10V27drnKBAYGEhUVdUkZtWPxlKlTp7JmzRpWrlx5yTW1UykMduzYwYQJE+jfvz/PP/88KSkp/PWvfyUoKIhu3bqpnYrXDRw4kPT0dKpWrYqfnx9ZWVkMHz6cP//5z4D+LZXCx1Nt8sCBA5QqVeqS+kuVKlVo2q0S+xuEZVlux8aYS86JXGtPP/00P/74I0uWLLnkWkHaqNqxeMqePXtITk5m7ty5BAcHX7ac2ql4k9PpJCkpiREjRgBQp04dNmzYwIQJE+jWrZurnNqpeMtnn33Gxx9/zKeffkpCQgJpaWn069ePuLg4unfv7iqnNiqFjSfaZE7lC1O71VB8HxcdHY2fn98lvxQdPHjwkl+mRK6lv/zlL8yaNYuFCxdStmxZ1/mYmBiAXNtoTEwMZ8+e5ejRo5ctI3I1Vq9ezcGDB0lMTMTf3x9/f38WL17M2LFj8ff3d7UztVPxptjYWKpVq+Z2Lj4+3rUYrv49FW8bMGAAgwYN4uGHH6ZGjRp07dqVZ555hpEjRwJqo1L4eKpNxsTE8Ouvv15S/6FDhwpNu1Vi7+MCAwNJTExk3rx5bufnzZtHo0aNvBSVFCXGGJ5++mmmT5/Ot99+S4UKFdyuV6hQgZiYGLc2evbsWRYvXuxqo4mJiQQEBLiV2b9/P+vXr1c7Fo+46667WLduHWlpaa5PUlISXbp0IS0tjYoVK6qditc1btz4ku1Ct27dSvny5QH9eyred+rUKRwO9/TBz8/Ptd2d2qgUNp5qkw0bNiQ9PZ2UlBRXmRUrVpCenl542q03VuwTz5o6daoJCAgwkyZNMhs3bjT9+vUzYWFhZufOnd4OTYqAJ5980kRGRppFixaZ/fv3uz6nTp1ylRk1apSJjIw006dPN+vWrTN//vOfTWxsrDl+/LirTJ8+fUzZsmXN/PnzzZo1a0yLFi1MrVq1TGZmpjdeS4qAC1fFN0btVLwvJSXF+Pv7m+HDh5tt27aZTz75xISGhpqPP/7YVUbtVLype/fupkyZMuarr74yP//8s5k+fbqJjo42f/vb31xl1Eblejtx4oRJTU01qampBjBvvPGGSU1NNbt27TLGeK5N/ulPfzI1a9Y0y5YtM8uWLTM1atQwbdq0ue7vezlK7G8Qb7/9tilfvrwJDAw0devWdW01JnKtATl+PvjgA1cZp9Nphg4damJiYkxQUJBp1qyZWbdunVs9p0+fNk8//bQpXry4CQkJMW3atDG7d+++zm8jRcnFib3aqRQGX375palevboJCgoyVatWNe+++67bdbVT8abjx4+b5ORkc/PNN5vg4GBTsWJFM2TIEJORkeEqozYq19vChQtz/H/R7t27G2M81yaPHDliunTpYsLDw014eLjp0qWLOXr06HV6yyuzjDHGO2MFRERERERERORqaY69iIiIiIiIiA9TYi8iIiIiIiLiw5TYi4iIiIiIiPgwJfYiIiIiIiIiPkyJvYiIiIiIiIgPU2IvIiIiIiIi4sOU2IuIiIiIiIj4MCX2IiIiIiIiIj5Mib2IiIhcN8OGDaN27dreDgOAHj160KFDB2+HISIictWU2IuIiPigAwcOkJycTKVKlQgODqZ06dI0adKEiRMncurUKW+HVyDDhg3DsqxcPzt37sx3vTt37sSyLNLS0jwes4iISGHg7+0AREREJH927NhB48aNKVasGCNGjKBGjRpkZmaydetWJk+eTFxcHO3atcvx3nPnzhEQEHCdI86b5557jj59+riO69Wrx+OPP85jjz3mOleyZEnX97NnzxIYGHhdYxQRESmM1GMvIiLiY5566in8/f1ZtWoVnTp1Ij4+nho1avDAAw/w9ddf07ZtW1dZy7KYOHEi7du3JywsjFdeeQWACRMmcOuttxIYGEiVKlX46KOPXPfk1MN97NgxLMti0aJFACxatAjLsliwYAFJSUmEhobSqFEjtmzZ4hbrqFGjKF26NOHh4fTq1YszZ85c9r1uuukmYmJiXB8/Pz/Cw8Ndx4MGDeKBBx5g5MiRxMXFUblyZdc7zpw5062uYsWKMWXKFAAqVKgAQJ06dbAsizvuuMOt7Ouvv05sbCwlSpSgb9++nDt37op/ByIiIoWJEnsREREfcuTIEebOnUvfvn0JCwvLsYxlWW7HQ4cOpX379qxbt46ePXsyY8YMkpOTefbZZ1m/fj1PPPEEjz76KAsXLsx3PEOGDGHMmDGsWrUKf39/evbs6bo2bdo0hg4dyvDhw1m1ahWxsbGMHz8+38+40IIFC9i0aRPz5s3jq6++ytM9KSkpAMyfP5/9+/czffp017WFCxeyfft2Fi5cyIcffsiUKVNcPwiIiIj4Cg3FFxER8SE//fQTxhiqVKnidj46OtrVG963b19Gjx7tuta5c2e3hLtz58706NGDp556CoD+/fuzfPlyXn/9de688858xTN8+HCaN28OwKBBg2jdujVnzpwhODiYN998k549e9K7d28AXnnlFebPn59rr/2VhIWF8f777+drCP754fslSpQgJibG7VpUVBTjxo3Dz8+PqlWr0rp1axYsWOA2/F9ERKSwU4+9iIiID7q4Vz4lJYW0tDQSEhLIyMhwu5aUlOR2vGnTJho3bux2rnHjxmzatCnfcdSsWdP1PTY2FoCDBw+6ntOwYUO38hcf51eNGjU8Oq8+ISEBPz8/13FsbKwrfhEREV+hHnsREREfUqlSJSzLYvPmzW7nK1asCEBISMgl9+Q0ZP/iHwaMMa5zDofDde68y807v3AhvvP3O53OK75HQV3uXS6MFS4f78UuXkjQsqxrGr+IiMi1oB57ERERH1KiRAlatmzJuHHjOHnyZIHqiI+PZ8mSJW7nli5dSnx8PJA9dH3//v2u6wXZKi4+Pp7ly5e7nbv42BNKlizpFuu2bdvctvw738OflZXl8WeLiIgUBuqxFxER8THjx4+ncePGJCUlMWzYMGrWrInD4WDlypVs3ryZxMTEXO8fMGAAnTp1om7dutx11118+eWXTJ8+nfnz5wN2r3+DBg0YNWoUt9xyC4cPH+aFF17Id5zJycl0796dpKQkmjRpwieffMKGDRtcows8pUWLFowbN44GDRrgdDoZOHCgW098qVKlCAkJYc6cOZQtW5bg4GAiIyM9GoOIiIg3qcdeRETEx9x6662kpqZy9913M3jwYGrVqkVSUhJvvfUWzz33HC+//HKu93fo0IF//OMfvPbaayQkJPDOO+/wwQcfuG0DN3nyZM6dO0dSUhLJycmubfLy46GHHuKll15i4MCBJCYmsmvXLp588sl813MlY8aMoVy5cjRr1ozOnTvz3HPPERoa6rru7+/P2LFjeeedd4iLi6N9+/Yej0FERMSbLHPxpDQRERERERER8RnqsRcRERERERHxYUrsRURERERERHyYEnsRERERERERH6bEXkRERERERMSHKbEXERERERER8WFK7EVERERERER8mBJ7ERERERERER+mxF5ERERERETEhymxFxEREREREfFhSuxFREREREREfJgSexEREREREREf9v/bpz/gljJn7wAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "runner = TestRunner(gpt_predictor, test, \"GPT-4o-mini Prediction Accuracy\").run()" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "id": "c43e2865-ac54-4ea8-9d2c-bbbeedf89029", + "metadata": {}, + "outputs": [], + "source": [ + "def frontier_predictor(item):\n", + " response = openai.chat.completions.create(\n", + " model=\"gpt-4o-2024-08-06\", \n", + " messages=messages_for(item),\n", + " seed=42,\n", + " max_tokens=6\n", + " )\n", + " reply = response.choices[0].message.content\n", + " return get_price(reply)" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "id": "4bf517b2-9a7e-4def-93ba-f728f16d91e2", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[91m1: Guess: $209.95 Truth: $374.41 Error: $164.46 SLE: 0.33 Item: OEM AC Compressor w/A/C Repair Kit For F...\u001b[0m\n", + "\u001b[91m2: Guess: $74.99 Truth: $225.11 Error: $150.12 SLE: 1.19 Item: Motorcraft YB3125 Fan Clutch\u001b[0m\n", + "\u001b[92m3: Guess: $50.00 Truth: $61.68 Error: $11.68 SLE: 0.04 Item: Dorman 603-159 Front Washer Fluid Reserv...\u001b[0m\n", + "\u001b[91m4: Guess: $450.00 Truth: $599.99 Error: $149.99 SLE: 0.08 Item: HP Premium 17.3-inch HD Plus Touchscreen...\u001b[0m\n", + "\u001b[92m5: Guess: $15.99 Truth: $16.99 Error: $1.00 SLE: 0.00 Item: 5-Position Super Switch Pickup Selector ...\u001b[0m\n", + "\u001b[92m6: Guess: $15.99 Truth: $31.99 Error: $16.00 SLE: 0.44 Item: Horror Bookmarks, Resin Horror Bookmarks...\u001b[0m\n", + "\u001b[93m7: Guess: $129.99 Truth: $101.79 Error: $28.20 SLE: 0.06 Item: SK6241 - Stinger 4 Gauge 6000 Series Pow...\u001b[0m\n", + "\u001b[92m8: Guess: $299.00 Truth: $289.00 Error: $10.00 SLE: 0.00 Item: Godox ML60Bi LED Light Kit, Handheld LED...\u001b[0m\n", + "\u001b[91m9: Guess: $450.00 Truth: $635.86 Error: $185.86 SLE: 0.12 Item: Randall RG75DG3PLUS G3 Plus 100-Watt Com...\u001b[0m\n", + "\u001b[92m10: Guess: $59.99 Truth: $65.99 Error: $6.00 SLE: 0.01 Item: HOLDWILL 6 Pack LED Shop Light, 4FT 24W ...\u001b[0m\n", + "\u001b[91m11: Guess: $209.99 Truth: $254.21 Error: $44.22 SLE: 0.04 Item: Viking Horns V103C/1005ATK 3 Gallon Air ...\u001b[0m\n", + "\u001b[91m12: Guess: $367.99 Truth: $412.99 Error: $45.00 SLE: 0.01 Item: CURT 70110 Custom Tow Bar Base Plate Bra...\u001b[0m\n", + "\u001b[91m13: Guess: $59.99 Truth: $205.50 Error: $145.51 SLE: 1.49 Item: 10-Pack Solar HAMMERED BRONZE Finish Pos...\u001b[0m\n", + "\u001b[91m14: Guess: $299.99 Truth: $248.23 Error: $51.76 SLE: 0.04 Item: COSTWAY Electric Tumble Dryer, Sliver\u001b[0m\n", + "\u001b[91m15: Guess: $299.99 Truth: $399.00 Error: $99.01 SLE: 0.08 Item: FREE SIGNAL TV Transit 32\" 12 Volt DC Po...\u001b[0m\n", + "\u001b[93m16: Guess: $350.00 Truth: $373.94 Error: $23.94 SLE: 0.00 Item: Bilstein 5100 Monotube Gas Shock Set com...\u001b[0m\n", + "\u001b[92m17: Guess: $99.99 Truth: $92.89 Error: $7.10 SLE: 0.01 Item: Sangean K-200 Multi-Function Upright AM/...\u001b[0m\n", + "\u001b[92m18: Guess: $43.99 Truth: $51.99 Error: $8.00 SLE: 0.03 Item: Charles Leonard Magnetic Lapboard Class ...\u001b[0m\n", + "\u001b[91m19: Guess: $100.00 Truth: $179.00 Error: $79.00 SLE: 0.33 Item: Gigabyte AMD Radeon HD 7870 2 GB GDDR5 D...\u001b[0m\n", + "\u001b[92m20: Guess: $12.99 Truth: $19.42 Error: $6.43 SLE: 0.14 Item: 3dRose LLC 8 x 8 x 0.25 Inches Bull Terr...\u001b[0m\n", + "\u001b[91m21: Guess: $599.00 Truth: $539.95 Error: $59.05 SLE: 0.01 Item: ROKINON 85mm F1.4 Auto Focus Full Frame ...\u001b[0m\n", + "\u001b[92m22: Guess: $150.00 Truth: $147.67 Error: $2.33 SLE: 0.00 Item: AUTOSAVER88 Headlight Assembly Compatibl...\u001b[0m\n", + "\u001b[92m23: Guess: $37.99 Truth: $24.99 Error: $13.00 SLE: 0.16 Item: ASI NAUTICAL 2.5 Inches Opera Glasses Bi...\u001b[0m\n", + "\u001b[91m24: Guess: $25.99 Truth: $149.00 Error: $123.01 SLE: 2.94 Item: Behringer TUBE OVERDRIVE TO100 Authentic...\u001b[0m\n", + "\u001b[92m25: Guess: $15.99 Truth: $16.99 Error: $1.00 SLE: 0.00 Item: Fun Express Insect Finger Puppets - 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...\u001b[0m\n", + "\u001b[93m52: Guess: $25.99 Truth: $46.78 Error: $20.79 SLE: 0.33 Item: G.I. 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Light...\u001b[0m\n", + "\u001b[91m92: Guess: $799.00 Truth: $997.99 Error: $198.99 SLE: 0.05 Item: Westin 57-4025 Black HDX Grille Guard fi...\u001b[0m\n", + "\u001b[92m93: Guess: $199.99 Truth: $219.00 Error: $19.01 SLE: 0.01 Item: Fieldpiece JL2 Job Link Wireless App Tra...\u001b[0m\n", + "\u001b[91m94: Guess: $175.99 Truth: $225.55 Error: $49.56 SLE: 0.06 Item: hansgrohe Talis S Modern Premium Easy Cl...\u001b[0m\n", + "\u001b[91m95: Guess: $1,499.00 Truth: $495.95 Error: $1,003.05 SLE: 1.22 Item: G-Technology G-SPEED eS PRO High-Perform...\u001b[0m\n", + "\u001b[91m96: Guess: $749.99 Truth: $942.37 Error: $192.38 SLE: 0.05 Item: DreamLine SHDR-1960723L-01 Shower Door, ...\u001b[0m\n", + "\u001b[92m97: Guess: $5.99 Truth: $1.94 Error: $4.05 SLE: 0.75 Item: Sanctuary Square Backplate Finish: Oiled...\u001b[0m\n", + "\u001b[92m98: Guess: $274.95 Truth: $284.34 Error: $9.39 SLE: 0.00 Item: Pelican Protector 1750 Long Case - Multi...\u001b[0m\n", + "\u001b[93m99: Guess: $150.00 Truth: $171.90 Error: $21.90 SLE: 0.02 Item: Brock Replacement Driver and Passenger H...\u001b[0m\n", + "\u001b[92m100: Guess: $149.99 Truth: $144.99 Error: $5.00 SLE: 0.00 Item: Carlinkit Ai Box Mini, Android 11, Multi...\u001b[0m\n", + "\u001b[93m101: Guess: $499.99 Truth: $470.47 Error: $29.52 SLE: 0.00 Item: StarDot NetCamLIVE2 YouTube Live Stream ...\u001b[0m\n", + "\u001b[91m102: Guess: $25.99 Truth: $66.95 Error: $40.96 SLE: 0.85 Item: Atomic Compatible FILXXCAR0016 16x25x5 M...\u001b[0m\n", + "\u001b[91m103: Guess: $60.00 Truth: $117.00 Error: $57.00 SLE: 0.44 Item: Bandai Awakening of S. H. s.h.figuarts s...\u001b[0m\n", + "\u001b[91m104: Guess: $125.00 Truth: $172.14 Error: $47.14 SLE: 0.10 Item: Fit System 62135G Passenger Side Towing ...\u001b[0m\n", + "\u001b[91m105: Guess: $350.00 Truth: $392.74 Error: $42.74 SLE: 0.01 Item: Black Horse Black Aluminum Exceed Runnin...\u001b[0m\n", + "\u001b[92m106: Guess: $19.99 Truth: $16.99 Error: $3.00 SLE: 0.02 Item: Dearsun Twinkle Star Color Night Light P...\u001b[0m\n", + "\u001b[92m107: Guess: $0.50 Truth: $1.34 Error: $0.84 SLE: 0.20 Item: Pokemon - Gallade Spirit Link (83/108) -...\u001b[0m\n", + "\u001b[91m108: Guess: $200.00 Truth: $349.98 Error: $149.98 SLE: 0.31 Item: Ibanez GA34STCE-NT GIO Series Classical ...\u001b[0m\n", + "\u001b[91m109: Guess: $650.00 Truth: $370.71 Error: $279.29 SLE: 0.31 Item: Set 2 Heavy Duty 12-16.5 12x16.5 12 Ply ...\u001b[0m\n", + "\u001b[92m110: Guess: $50.00 Truth: $65.88 Error: $15.88 SLE: 0.07 Item: Hairpin Table Legs 28\" Heavy Duty Hairpi...\u001b[0m\n", + "\u001b[92m111: Guess: $229.99 Truth: $229.99 Error: $0.00 SLE: 0.00 Item: Marada Racing Seat with Adjustable Slide...\u001b[0m\n", + "\u001b[92m112: Guess: $6.99 Truth: $9.14 Error: $2.15 SLE: 0.06 Item: Remington Industries 24UL1007STRWHI25 24...\u001b[0m\n", + "\u001b[91m113: Guess: $250.00 Truth: $199.00 Error: $51.00 SLE: 0.05 Item: Acer S3-391-6046 13.3-inch Ultrabook, In...\u001b[0m\n", + "\u001b[93m114: Guess: $129.99 Truth: $109.99 Error: $20.00 SLE: 0.03 Item: ICBEAMER 7\" RGB LED Headlights Bulb Halo...\u001b[0m\n", + "\u001b[91m115: Guess: $450.00 Truth: $570.42 Error: $120.42 SLE: 0.06 Item: R1 Concepts Front Rear Brakes and Rotors...\u001b[0m\n", + "\u001b[91m116: Guess: $169.99 Truth: $279.99 Error: $110.00 SLE: 0.25 Item: Camplux 2.64 GPM Tankless , Outdoor Port...\u001b[0m\n", + "\u001b[92m117: Guess: $25.99 Truth: $30.99 Error: $5.00 SLE: 0.03 Item: KNOKLOCK 10 Pack 3.75 Inch(96mm) Kitchen...\u001b[0m\n", + "\u001b[92m118: Guess: $24.95 Truth: $31.99 Error: $7.04 SLE: 0.06 Item: Valley Enterprises Yaesu USB FTDI CT-62 ...\u001b[0m\n", + "\u001b[92m119: Guess: $15.99 Truth: $15.90 Error: $0.09 SLE: 0.00 Item: G9 LED Light Bulbs,8W,75W 100W replaceme...\u001b[0m\n", + "\u001b[91m120: Guess: $129.99 Truth: $45.99 Error: $84.00 SLE: 1.05 Item: ZCHAOZ 4 Lights Antique White Farmhouse ...\u001b[0m\n", + "\u001b[91m121: Guess: $169.99 Truth: $113.52 Error: $56.47 SLE: 0.16 Item: Honeywell TH8320R1003 Honeywell VisionPr...\u001b[0m\n", + "\u001b[92m122: Guess: $500.00 Truth: $516.99 Error: $16.99 SLE: 0.00 Item: Patriot Exhaust H8013-1 1-7/8\" Clippster...\u001b[0m\n", + "\u001b[91m123: Guess: $120.00 Truth: $196.99 Error: $76.99 SLE: 0.24 Item: Fitrite Autopart New Front Left Driver S...\u001b[0m\n", + "\u001b[93m124: Guess: $15.99 Truth: $46.55 Error: $30.56 SLE: 1.06 Item: Technical Precision Replacement for GE G...\u001b[0m\n", + "\u001b[91m125: Guess: $274.99 Truth: $356.99 Error: $82.00 SLE: 0.07 Item: Covercraft Carhartt SeatSaver Front Row ...\u001b[0m\n", + "\u001b[92m126: Guess: $329.00 Truth: $319.95 Error: $9.05 SLE: 0.00 Item: Sennheiser SD Pro 2 (506008) - Double-Si...\u001b[0m\n", + "\u001b[92m127: Guess: $100.00 Truth: $96.06 Error: $3.94 SLE: 0.00 Item: Hitachi MAF0110 Mass Air Flow Sensor\u001b[0m\n", + "\u001b[92m128: Guess: $179.99 Truth: $190.99 Error: $11.00 SLE: 0.00 Item: AmScope SE305R-P-LED-PS36A 10X-30X LED C...\u001b[0m\n", + "\u001b[91m129: Guess: $75.00 Truth: $257.95 Error: $182.95 SLE: 1.50 Item: Front Left Driver Side Window Regulator ...\u001b[0m\n", + "\u001b[92m130: Guess: $50.00 Truth: $62.95 Error: $12.95 SLE: 0.05 Item: Premium Replica Hubcap Set, Fits Nissan ...\u001b[0m\n", + "\u001b[92m131: Guess: $29.99 Truth: $47.66 Error: $17.67 SLE: 0.20 Item: Excellerations Phonics Spelling Game for...\u001b[0m\n", + "\u001b[91m132: Guess: $299.99 Truth: $226.99 Error: $73.00 SLE: 0.08 Item: RC4WD BigDog Dual Axle Scale Car/Truck T...\u001b[0m\n", + "\u001b[92m133: Guess: $350.00 Truth: $359.95 Error: $9.95 SLE: 0.00 Item: Unknown Stage 2 Clutch Kit - Low Altitud...\u001b[0m\n", + "\u001b[91m134: Guess: $25.99 Truth: $78.40 Error: $52.41 SLE: 1.16 Item: 2002-2008 Dodge Ram 1500 Mopar 4X4 Emble...\u001b[0m\n", + "\u001b[93m135: Guess: $150.00 Truth: $172.77 Error: $22.77 SLE: 0.02 Item: Pro Comp Alloys Series 89 Wheel with Pol...\u001b[0m\n", + "\u001b[91m136: Guess: $239.66 Truth: $316.45 Error: $76.79 SLE: 0.08 Item: Detroit Axle - Front Rear Strut & Coil S...\u001b[0m\n", + "\u001b[91m137: Guess: $129.99 Truth: $87.99 Error: $42.00 SLE: 0.15 Item: ECCPP Rear Wheel Axle Replacement fit fo...\u001b[0m\n", + "\u001b[93m138: Guess: $250.00 Truth: $226.63 Error: $23.37 SLE: 0.01 Item: Dell Latitude E6520 Intel i7-2720QM 2.20...\u001b[0m\n", + "\u001b[92m139: Guess: $32.99 Truth: $31.49 Error: $1.50 SLE: 0.00 Item: F FIERCE CYCLE 251pcs Black Universal Mo...\u001b[0m\n", + "\u001b[92m140: Guess: $180.00 Truth: $196.00 Error: $16.00 SLE: 0.01 Item: Flash Furniture 4 Pk. HERCULES Series 88...\u001b[0m\n", + "\u001b[91m141: Guess: $32.99 Truth: $78.40 Error: $45.41 SLE: 0.72 Item: B&M 30287 Throttle Valve/Kickdown Cable,...\u001b[0m\n", + "\u001b[93m142: Guess: $150.00 Truth: $116.25 Error: $33.75 SLE: 0.06 Item: Gates TCK226 PowerGrip Premium Timing Be...\u001b[0m\n", + "\u001b[91m143: Guess: $180.00 Truth: $112.78 Error: $67.22 SLE: 0.22 Item: Monroe Shocks & Struts Quick-Strut 17149...\u001b[0m\n", + "\u001b[92m144: Guess: $32.99 Truth: $27.32 Error: $5.67 SLE: 0.03 Item: Feit Electric BPMR16/GU10/930CA/6 35W EQ...\u001b[0m\n", + "\u001b[91m145: Guess: $100.99 Truth: $145.91 Error: $44.92 SLE: 0.13 Item: Yellow Jacket 2806 Contractor Extension ...\u001b[0m\n", + "\u001b[91m146: Guess: $250.00 Truth: $171.09 Error: $78.91 SLE: 0.14 Item: Garage-Pro Tailgate SET Compatible with ...\u001b[0m\n", + "\u001b[92m147: Guess: $149.99 Truth: $167.95 Error: $17.96 SLE: 0.01 Item: 3M Perfect It Buffing and Polishing Kit ...\u001b[0m\n", + "\u001b[92m148: Guess: $45.99 Truth: $28.49 Error: $17.50 SLE: 0.22 Item: Chinese Style Dollhouse Model DIY Miniat...\u001b[0m\n", + "\u001b[93m149: Guess: $100.00 Truth: $122.23 Error: $22.23 SLE: 0.04 Item: Generic NRG Innovations SRK-161H Steerin...\u001b[0m\n", + "\u001b[92m150: Guess: $34.99 Truth: $32.99 Error: $2.00 SLE: 0.00 Item: Learning Resources Coding Critters Range...\u001b[0m\n", + "\u001b[93m151: Guess: $32.99 Truth: $71.20 Error: $38.21 SLE: 0.57 Item: Bosch Automotive 15463 Oxygen Sensor, OE...\u001b[0m\n", + "\u001b[93m152: Guess: $80.00 Truth: $112.75 Error: $32.75 SLE: 0.12 Item: Case of 24-2 Inch Blue Painters Tape - 6...\u001b[0m\n", + "\u001b[93m153: Guess: $120.00 Truth: $142.43 Error: $22.43 SLE: 0.03 Item: MOCA Engine Water Pump & Fan Clutch fit ...\u001b[0m\n", + "\u001b[91m154: Guess: $350.00 Truth: $398.99 Error: $48.99 SLE: 0.02 Item: SAREMAS Foot Step Bars for Hyundai Palis...\u001b[0m\n", + "\u001b[93m155: Guess: $480.00 Truth: $449.00 Error: $31.00 SLE: 0.00 Item: Gretsch G9210 Square Neck Boxcar Mahogan...\u001b[0m\n", + "\u001b[92m156: Guess: $169.99 Truth: $189.00 Error: $19.01 SLE: 0.01 Item: NikoMaku Mirror Dash Cam Front and Rear ...\u001b[0m\n", + "\u001b[93m157: Guess: $149.95 Truth: $120.91 Error: $29.04 SLE: 0.05 Item: Fenix HP25R v2.0 USB-C Rechargeable Head...\u001b[0m\n", + "\u001b[92m158: Guess: $189.99 Truth: $203.53 Error: $13.54 SLE: 0.00 Item: R&L Racing Heavy Duty Roll-Up Soft Tonne...\u001b[0m\n", + "\u001b[92m159: Guess: $349.99 Truth: $349.99 Error: $0.00 SLE: 0.00 Item: Garmin 010-02258-10 GPSMAP 64sx, Handhel...\u001b[0m\n", + "\u001b[93m160: Guess: $12.99 Truth: $34.35 Error: $21.36 SLE: 0.86 Item: Brown 5-7/8\" X 8-1/2\" X 3/16\" Thick Heav...\u001b[0m\n", + "\u001b[92m161: Guess: $399.99 Truth: $384.99 Error: $15.00 SLE: 0.00 Item: GAOMON PD2200 Pen Display & 20 Pen Nibs ...\u001b[0m\n", + "\u001b[93m162: Guess: $180.00 Truth: $211.00 Error: $31.00 SLE: 0.02 Item: VXMOTOR for 97-03 Ford F150/F250 Lightdu...\u001b[0m\n", + "\u001b[93m163: Guess: $150.00 Truth: $129.00 Error: $21.00 SLE: 0.02 Item: HP EliteBook 2540p Intel Core i7-640LM X...\u001b[0m\n", + "\u001b[91m164: Guess: $32.99 Truth: $111.45 Error: $78.46 SLE: 1.43 Item: Green EPX Mixing Nozzles 100-Pack-fits 3...\u001b[0m\n", + "\u001b[91m165: Guess: $32.99 Truth: $81.12 Error: $48.13 SLE: 0.78 Item: Box Partners 6 1/4 x 3 1/8\" 13 Pt. Manil...\u001b[0m\n", + "\u001b[91m166: Guess: $329.99 Truth: $457.08 Error: $127.09 SLE: 0.11 Item: Vixen Air 1/2\" NPT Air Ride Suspension H...\u001b[0m\n", + "\u001b[91m167: Guess: $99.99 Truth: $49.49 Error: $50.50 SLE: 0.48 Item: Smart Floor Lamp, 2700-6500K+RGBPink Mul...\u001b[0m\n", + "\u001b[93m168: Guess: $45.99 Truth: $80.56 Error: $34.57 SLE: 0.30 Item: SOZG 324mm Wheelbase Body Shell RC Car B...\u001b[0m\n", + "\u001b[91m169: Guess: $370.00 Truth: $278.39 Error: $91.61 SLE: 0.08 Item: Mickey Thompson ET Street S/S Racing Rad...\u001b[0m\n", + "\u001b[91m170: Guess: $280.00 Truth: $364.50 Error: $84.50 SLE: 0.07 Item: Pirelli 275/40R20 106W XL RFT P0 PZ4-LUX...\u001b[0m\n", + "\u001b[91m171: Guess: $296.99 Truth: $378.99 Error: $82.00 SLE: 0.06 Item: Torklift C3212 Rear Tie Down\u001b[0m\n", + "\u001b[92m172: Guess: $150.00 Truth: $165.28 Error: $15.28 SLE: 0.01 Item: Cardone 78-4226 Remanufactured Ford Comp...\u001b[0m\n", + "\u001b[92m173: Guess: $45.99 Truth: $56.74 Error: $10.75 SLE: 0.04 Item: Kidde AccessPoint 001798 Supra TouchPoin...\u001b[0m\n", + "\u001b[91m174: Guess: $175.00 Truth: $307.95 Error: $132.95 SLE: 0.32 Item: 3M Protecta 3100414 Self Retracting Life...\u001b[0m\n", + "\u001b[93m175: Guess: $65.00 Truth: $38.00 Error: $27.00 SLE: 0.28 Item: Plantronics 89435-01 Wired Headset, Blac...\u001b[0m\n", + "\u001b[92m176: Guess: $59.99 Truth: $53.00 Error: $6.99 SLE: 0.01 Item: Logitech K750 Wireless Solar Keyboard fo...\u001b[0m\n", + "\u001b[92m177: Guess: $500.00 Truth: $498.00 Error: $2.00 SLE: 0.00 Item: Olympus PEN E-PL9 Body Only with 3-Inch ...\u001b[0m\n", + "\u001b[91m178: Guess: $100.00 Truth: $53.99 Error: $46.01 SLE: 0.37 Item: Beck/Arnley 051-6066 Hub & Bearing Assem...\u001b[0m\n", + "\u001b[91m179: Guess: $250.00 Truth: $350.00 Error: $100.00 SLE: 0.11 Item: Eibach Pro-Kit Performance Springs E10-6...\u001b[0m\n", + "\u001b[91m180: Guess: $199.99 Truth: $299.95 Error: $99.96 SLE: 0.16 Item: LEGO DC Batman 1989 Batwing 76161 Displa...\u001b[0m\n", + "\u001b[92m181: Guess: $80.00 Truth: $94.93 Error: $14.93 SLE: 0.03 Item: Kingston Brass KS3608PL Restoration 4-In...\u001b[0m\n", + "\u001b[93m182: Guess: $399.00 Truth: $379.00 Error: $20.00 SLE: 0.00 Item: Polk Vanishing Series 265-LS In-Wall 3-W...\u001b[0m\n", + "\u001b[91m183: Guess: $250.00 Truth: $299.95 Error: $49.95 SLE: 0.03 Item: Spec-D Tuning LED Projector Headlights G...\u001b[0m\n", + "\u001b[92m184: Guess: $29.99 Truth: $24.99 Error: $5.00 SLE: 0.03 Item: RICHMOND & FINCH Airpod Pro Case, Green ...\u001b[0m\n", + "\u001b[92m185: Guess: $32.99 Truth: $41.04 Error: $8.05 SLE: 0.05 Item: LFA Industries 43B-5A-33JT 1/16-1/2-1.5-...\u001b[0m\n", + "\u001b[93m186: Guess: $299.99 Truth: $327.90 Error: $27.91 SLE: 0.01 Item: SAUTVS LED Headlight Assembly for Slings...\u001b[0m\n", + "\u001b[92m187: Guess: $14.99 Truth: $10.99 Error: $4.00 SLE: 0.08 Item: 2 Pack Combo Womens Safety Glasses Impac...\u001b[0m\n", + "\u001b[92m188: Guess: $14.99 Truth: $14.99 Error: $0.00 SLE: 0.00 Item: Arepa - Venezuelan cuisine - Venezuela P...\u001b[0m\n", + "\u001b[91m189: Guess: $15.99 Truth: $84.95 Error: $68.96 SLE: 2.63 Item: Schlage Lock Company KS23D2300 Padlock, ...\u001b[0m\n", + "\u001b[93m190: Guess: $79.99 Truth: $111.00 Error: $31.01 SLE: 0.11 Item: Techni Mobili White Sit to Stand Mobile ...\u001b[0m\n", + "\u001b[93m191: Guess: $85.99 Truth: $123.73 Error: $37.74 SLE: 0.13 Item: Special Lite Products Contemporary Wall ...\u001b[0m\n", + "\u001b[91m192: Guess: $500.00 Truth: $557.38 Error: $57.38 SLE: 0.01 Item: Tascam DP-24SD 24-Track Digital Portastu...\u001b[0m\n", + "\u001b[91m193: Guess: $250.00 Truth: $95.55 Error: $154.45 SLE: 0.91 Item: Glow Lighting 636CC10SP Vista Crystal Fl...\u001b[0m\n", + "\u001b[92m194: Guess: $149.99 Truth: $154.00 Error: $4.01 SLE: 0.00 Item: Z3 Wind Deflector, Smoke Tint, Lexan, Wi...\u001b[0m\n", + "\u001b[91m195: Guess: $150.00 Truth: $198.99 Error: $48.99 SLE: 0.08 Item: Olympus E-20 5MP Digital Camera w/ 4x Op...\u001b[0m\n", + "\u001b[91m196: Guess: $129.99 Truth: $430.44 Error: $300.45 SLE: 1.42 Item: PHYNEDI 1:1000 World Trade Center (1973-...\u001b[0m\n", + "\u001b[93m197: Guess: $15.99 Truth: $45.67 Error: $29.68 SLE: 1.02 Item: YANGHUAN Unstable Unicorns Adventure Car...\u001b[0m\n", + "\u001b[91m198: Guess: $150.00 Truth: $249.00 Error: $99.00 SLE: 0.25 Item: Interlogix NX-1820E NetworX Touch Screen...\u001b[0m\n", + "\u001b[92m199: Guess: $45.99 Truth: $42.99 Error: $3.00 SLE: 0.00 Item: Steering Damper,Universal Motorcycle Han...\u001b[0m\n", + "\u001b[93m200: Guess: $150.00 Truth: $181.33 Error: $31.33 SLE: 0.04 Item: Amprobe TIC 410A Hot Stick Attachment\u001b[0m\n", + "\u001b[92m201: Guess: $2.99 Truth: $6.03 Error: $3.04 SLE: 0.32 Item: MyCableMart 3.5mm Plug/Jack, 4 Conductor...\u001b[0m\n", + "\u001b[92m202: Guess: $30.00 Truth: $29.99 Error: $0.01 SLE: 0.00 Item: OtterBox + Pop Symmetry Series Case for ...\u001b[0m\n", + "\u001b[91m203: Guess: $500.00 Truth: $899.00 Error: $399.00 SLE: 0.34 Item: Dell XPS X8700-1572BLK Desktop ( Intel C...\u001b[0m\n", + "\u001b[92m204: Guess: $399.99 Truth: $399.99 Error: $0.00 SLE: 0.00 Item: Franklin Iron Works Sperry Industrial Br...\u001b[0m\n", + "\u001b[93m205: Guess: $32.99 Truth: $4.66 Error: $28.33 SLE: 3.21 Item: Avery Legal Dividers, Standard Collated ...\u001b[0m\n", + "\u001b[91m206: Guess: $315.00 Truth: $261.41 Error: $53.59 SLE: 0.03 Item: Moen 8346 Commercial Posi-Temp Pressure ...\u001b[0m\n", + "\u001b[92m207: Guess: $134.99 Truth: $136.97 Error: $1.98 SLE: 0.00 Item: Carlisle Versa Trail ATR All Terrain Rad...\u001b[0m\n", + "\u001b[91m208: Guess: $180.00 Truth: $79.00 Error: $101.00 SLE: 0.67 Item: SUNWAYFOTO 44mm Tripod Ball Head Arca Co...\u001b[0m\n", + "\u001b[91m209: Guess: $400.00 Truth: $444.99 Error: $44.99 SLE: 0.01 Item: NanoBeam AC NBE-5AC-Gen2-US 4 Units 5GHz...\u001b[0m\n", + "\u001b[92m210: Guess: $399.99 Truth: $411.94 Error: $11.95 SLE: 0.00 Item: WULF 4\" Front 2\" Rear Leveling Lift Kit ...\u001b[0m\n", + "\u001b[92m211: Guess: $165.00 Truth: $148.40 Error: $16.60 SLE: 0.01 Item: Alera ALEVABFMC Valencia Series Mobile B...\u001b[0m\n", + "\u001b[91m212: Guess: $65.00 Truth: $244.99 Error: $179.99 SLE: 1.73 Item: YU-GI-OH! Ignition Assault Booster Box\u001b[0m\n", + "\u001b[91m213: Guess: $150.00 Truth: $86.50 Error: $63.50 SLE: 0.30 Item: 48\" x 36\" Extra-Large Framed Magnetic Bl...\u001b[0m\n", + "\u001b[91m214: Guess: $100.00 Truth: $297.95 Error: $197.95 SLE: 1.18 Item: Dell Latitude D620 Renewed Notebook PC\u001b[0m\n", + "\u001b[91m215: Guess: $490.00 Truth: $399.99 Error: $90.01 SLE: 0.04 Item: acer Aspire 5 Laptop, AMD Ryzen 3 5300U ...\u001b[0m\n", + "\u001b[91m216: Guess: $450.00 Truth: $599.00 Error: $149.00 SLE: 0.08 Item: Elk 31080/6RC-GRN 30 by 6-Inch Viva 6-Li...\u001b[0m\n", + "\u001b[93m217: Guess: $75.00 Truth: $105.99 Error: $30.99 SLE: 0.12 Item: Barbie Top Model Doll\u001b[0m\n", + "\u001b[91m218: Guess: $749.99 Truth: $689.00 Error: $60.99 SLE: 0.01 Item: Danby Designer 20-In. Electric Range wit...\u001b[0m\n", + "\u001b[92m219: Guess: $399.00 Truth: $404.99 Error: $5.99 SLE: 0.00 Item: FixtureDisplays® Metal Truss Podium Doub...\u001b[0m\n", + "\u001b[93m220: Guess: $180.00 Truth: $207.76 Error: $27.76 SLE: 0.02 Item: ACDelco 13597235 GM Original Equipment A...\u001b[0m\n", + "\u001b[91m221: Guess: $275.00 Truth: $171.82 Error: $103.18 SLE: 0.22 Item: EBC S1KF1135 Stage-1 Premium Street Brak...\u001b[0m\n", + "\u001b[92m222: Guess: $299.99 Truth: $293.24 Error: $6.75 SLE: 0.00 Item: FXR Men's Boost FX Jacket (Black/Orange/...\u001b[0m\n", + "\u001b[93m223: Guess: $399.95 Truth: $374.95 Error: $25.00 SLE: 0.00 Item: SuperATV Scratch Resistant 3-in-1 Flip W...\u001b[0m\n", + "\u001b[91m224: Guess: $69.99 Truth: $111.99 Error: $42.00 SLE: 0.22 Item: SBU 3 Layer All Weather Mini Van Car Cov...\u001b[0m\n", + "\u001b[92m225: Guess: $32.99 Truth: $42.99 Error: $10.00 SLE: 0.07 Item: 2 Pack Outdoor Brochure Holder Advertisi...\u001b[0m\n", + "\u001b[91m226: Guess: $180.00 Truth: $116.71 Error: $63.29 SLE: 0.19 Item: Monroe Shocks & Struts Quick-Strut 17158...\u001b[0m\n", + "\u001b[91m227: Guess: $175.99 Truth: $118.61 Error: $57.38 SLE: 0.15 Item: Elements of Design Magellan EB235AL Thre...\u001b[0m\n", + "\u001b[92m228: Guess: $150.00 Truth: $147.12 Error: $2.88 SLE: 0.00 Item: GM Genuine Parts 15-62961 Air Conditioni...\u001b[0m\n", + "\u001b[92m229: Guess: $129.99 Truth: $119.99 Error: $10.00 SLE: 0.01 Item: Baseus 17-in-1 USB C Docking Station to ...\u001b[0m\n", + "\u001b[91m230: Guess: $299.99 Truth: $369.98 Error: $69.99 SLE: 0.04 Item: Whitehall™ Personalized Whitehall Capito...\u001b[0m\n", + "\u001b[91m231: Guess: $269.95 Truth: $315.55 Error: $45.60 SLE: 0.02 Item: Pro Circuit Works Pipe PY05250 for 02-19...\u001b[0m\n", + "\u001b[92m232: Guess: $179.99 Truth: $190.99 Error: $11.00 SLE: 0.00 Item: HYANKA 15 \"1200W Professional DJ Speaker...\u001b[0m\n", + "\u001b[93m233: Guess: $180.00 Truth: $155.00 Error: $25.00 SLE: 0.02 Item: Bluetooth X6BT Card Reader Writer Encode...\u001b[0m\n", + "\u001b[91m234: Guess: $399.99 Truth: $349.99 Error: $50.00 SLE: 0.02 Item: AIRAID Cold Air Intake System by K&N: In...\u001b[0m\n", + "\u001b[91m235: Guess: $329.99 Truth: $249.99 Error: $80.00 SLE: 0.08 Item: Bostingner Shower Faucets Sets Complete,...\u001b[0m\n", + "\u001b[92m236: Guess: $35.99 Truth: $42.99 Error: $7.00 SLE: 0.03 Item: PIT66 Front Bumper Turn Signal Lights, C...\u001b[0m\n", + "\u001b[92m237: Guess: $16.99 Truth: $17.99 Error: $1.00 SLE: 0.00 Item: Caseology Bumpy Compatible with Google P...\u001b[0m\n", + "\u001b[91m238: Guess: $350.00 Truth: $425.00 Error: $75.00 SLE: 0.04 Item: Fleck 2510 Timer Mechanical Filter Contr...\u001b[0m\n", + "\u001b[93m239: Guess: $229.99 Truth: $249.99 Error: $20.00 SLE: 0.01 Item: Haloview MC7108 Wireless RV Backup Camer...\u001b[0m\n", + "\u001b[91m240: Guess: $30.00 Truth: $138.23 Error: $108.23 SLE: 2.26 Item: Schmidt Spiele - Manhattan\u001b[0m\n", + "\u001b[92m241: Guess: $399.99 Truth: $414.99 Error: $15.00 SLE: 0.00 Item: Corsa 14333 Tip Kit (Ford Mustang GT)\u001b[0m\n", + "\u001b[92m242: Guess: $150.00 Truth: $168.28 Error: $18.28 SLE: 0.01 Item: Hoshizaki FM116A Fan Motor Kit 1\u001b[0m\n", + "\u001b[91m243: Guess: $299.99 Truth: $199.99 Error: $100.00 SLE: 0.16 Item: BAINUO Antler Chandelier Lighting,6 Ligh...\u001b[0m\n", + "\u001b[93m244: Guess: $150.00 Truth: $126.70 Error: $23.30 SLE: 0.03 Item: DNA MOTORING HL-OH-FEXP06-SM-AM Smoke Le...\u001b[0m\n", + "\u001b[92m245: Guess: $10.99 Truth: $5.91 Error: $5.08 SLE: 0.30 Item: Wera Stainless 3840/1 TS 2.5mm Hex Inser...\u001b[0m\n", + "\u001b[93m246: Guess: $229.99 Truth: $193.06 Error: $36.93 SLE: 0.03 Item: Celestron - PowerSeeker 127EQ Telescope ...\u001b[0m\n", + "\u001b[91m247: Guess: $299.99 Truth: $249.99 Error: $50.00 SLE: 0.03 Item: NHOPEEW 10.1inch Android Car Radio Carpl...\u001b[0m\n", + "\u001b[92m248: Guess: $50.00 Truth: $64.12 Error: $14.12 SLE: 0.06 Item: Other Harmonica (Suzuki-2Timer24- A)\u001b[0m\n", + "\u001b[93m249: Guess: $150.00 Truth: $114.99 Error: $35.01 SLE: 0.07 Item: Harley Air Filter Venturi Intake Air Cle...\u001b[0m\n", + "\u001b[91m250: Guess: $999.00 Truth: $926.00 Error: $73.00 SLE: 0.01 Item: Elite Screens Edge Free Ambient Light Re...\u001b[0m\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "runner = TestRunner(frontier_predictor, test, \"GPT-4o Frontier Prediction\").run()" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "id": "8836aa7d-721e-4d5e-b7f3-b2ace6fe1605", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "runner.report()" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "id": "a36d4dc4-5a43-4a13-8ced-644f7b3f1ca5", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.876\n" + ] + } + ], + "source": [ + "errors = runner.errors\n", + "truths = runner.truths\n", + "hits = 0\n", + "for error, truth in zip(errors, truths):\n", + " if error < 80 or error/truth < 0.40:\n", + " hits += 1\n", + "print(hits/len(errors))" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "id": "059b6c74-917f-4cb1-b810-ce70735a57be", + "metadata": {}, + "outputs": [], + "source": [ + "train_prompts = [item.prompt for item in train]\n", + "train_prices = [item.price for item in train]\n", + "test_prompts = [item.test_prompt() for item in test]\n", + "test_prices = [item.price for item in test]" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "id": "b8ba48cb-da5e-4ddb-8955-8a94e62ea8e0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'How much does this cost to the nearest dollar?\\n\\nDorman Front Washer Fluid Reservoir Compatible with Select Ford/Lincoln/Mercury Models\\nThis washer fluid reservoir is designed to match the fit and function of the original equipment reservoir. It is engineered to withstand the stresses of underhood heat and engine vibration on specified vehicle makes, models, and years. This part is compatible with the following vehicles. Before purchasing, enter your vehicle trim in the garage tool to confirm fitment. Ford Explorer 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010 - Lincoln Aviator 2003, 2004, 2005 - Mercury Mountaineer 2002, 2003, 2004, 2005, \\n\\nPrice is $'" + ] + }, + "execution_count": 50, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "test_prompts[2]" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "id": "f9ee2e90-79b6-4232-b955-b1c67bc3d600", + "metadata": {}, + "outputs": [], + "source": [ + "# Create a Dataset from the lists\n", + "train_dataset = Dataset.from_dict({\"text\": train_prompts, \"price\": train_prices})\n", + "test_dataset = Dataset.from_dict({\"text\": test_prompts, \"price\": test_prices})\n", + "dataset = DatasetDict({\n", + " \"train\": train_dataset,\n", + " \"test\": test_dataset\n", + "})" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "id": "e69e26a5-4b24-4e0f-8944-731c534b285b", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "a36a1255a7ee40169af4b99eb723659b", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Uploading the dataset shards: 0%| | 0/1 [00:00" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the distribution of character count\n", + "\n", + "lengths = [len(item.prompt) for item in items]\n", + "fig, ax = plt.subplots(1, 1)\n", + "ax.set_xlabel('Length')\n", + "ax.set_ylabel('Count of items');\n", + "_ = ax.hist(lengths, rwidth=0.7, color=\"lightblue\", bins=range(0, 1000, 50))\n", + "\n", + "print(f\"Average length is {sum(lengths)/len(lengths):,.1f} and highest length is {max(lengths):,}\\n\")" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "d5dde349-610a-4e96-a2ea-9178a9c1fa2a", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the distribution of tokens\n", + "\n", + "token_counts = [item.token_count for item in items]\n", + "fig, ax = plt.subplots(1, 1)\n", + "ax.set_xlabel('Number of tokens')\n", + "ax.set_ylabel('Count of items');\n", + "_ = ax.hist(token_counts, rwidth=0.7, color=\"orange\", bins=range(0, 200, 10))" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "da0a20b4-8926-4eff-bf83-11c4f6b40455", + "metadata": {}, + "outputs": [], + "source": [ + "def report(item):\n", + " prompt = item.prompt\n", + " tokens = Item.tokenizer.encode(item.prompt)\n", + " print(prompt)\n", + " print(tokens[-10:])\n", + " print(Item.tokenizer.batch_decode(tokens[-10:]))" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "2378cb92-305a-49d0-8193-4ae09a0cccf8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n", + "\n", + "You estimate prices to the nearest dollar<|eot_id|><|start_header_id|>user<|end_header_id|>\n", + "\n", + "How much is this?\n", + "BALEAF Women's Long Sleeve Zip Beach Coverup UPF 50+ Sun Protection Hooded Cover Up Shirt Dress with Pockets Department womens, Available April 3, 2022 90% Polyester, 10% Spandex Zipper closure Machine Wash Long sleeve sun protection coverups--UPF 50+ blocks the sun from burning Zipped v-neckline--fashionable V neck and smooth 1/4 zipper allows to staying place as you like Two drop-in side pockets--hold your phone or keys well,no worries of falling out Hoodie with non-slip drawcord--Enhancing hooded design is convenient to wrap your face and enough space to put your head and<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n", + "\n", + "Price is $32.00<|eot_id|>\n", + "[78191, 128007, 271, 7117, 374, 400, 843, 13, 410, 128009]\n", + "['assistant', '<|end_header_id|>', '\\n\\n', 'Price', ' is', ' $', '32', '.', '00', '<|eot_id|>']\n" + ] + } + ], + "source": [ + "report(items[0])" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "50d88feb-d0ee-4abf-a013-7d11a7e4e2cd", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Average price is $49.77 and highest price is $999.49\n", + "\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the distribution of prices\n", + "\n", + "prices = [float(item.price) for item in items]\n", + "fig, ax = plt.subplots(1, 1)\n", + "ax.set_xlabel('Price ($)')\n", + "ax.set_ylabel('Count of items');\n", + "_ = ax.hist(prices, rwidth=0.7, color=\"darkblue\", bins=range(0, 1000, 20))\n", + "\n", + "print(f\"Average price is ${sum(prices)/len(prices):.2f} and highest price is ${max(prices):,.2f}\\n\")" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "3718a8e6-6c87-4351-8c27-9e61745b0991", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from collections import Counter\n", + "category_counts = Counter()\n", + "for item in items:\n", + " category_counts[item.category]+=1\n", + "\n", + "categories = category_counts.keys()\n", + "counts = [category_counts[category] for category in categories]\n", + "\n", + "# Create bar chart\n", + "plt.figure(figsize=(15, 6))\n", + "plt.bar(categories, counts, color=\"purple\")\n", + "\n", + "# Customize the chart\n", + "plt.title('How many in each category')\n", + "plt.xlabel('Categories')\n", + "plt.ylabel('Count')\n", + "\n", + "plt.xticks(rotation=30, ha='right')\n", + "\n", + "# Add value labels on top of each bar\n", + "for i, v in enumerate(counts):\n", + " plt.text(i, v, f\"{v:,}\", ha='center', va='bottom')\n", + "\n", + "# Display the chart\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "e741d816-25d8-4372-9caa-d006b85818be", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Minimum: 16\n" + ] + } + ], + "source": [ + "from collections import defaultdict\n", + "slots = defaultdict(list)\n", + "for item in items:\n", + " slots[round(item.price)].append(item)\n", + "\n", + "print(f\"\\nMinimum: {min([len(slot) for slot in slots.values()]):,}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "75541d34-37e9-4e59-bac8-87fd1d147d62", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "421311" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.random.seed(42)\n", + "random.seed(42)\n", + "sample = []\n", + "for i in range(1, 1000):\n", + " slot = slots[i]\n", + " if i>=400:\n", + " sample.extend(slot)\n", + " elif len(slot) <= 900:\n", + " sample.extend(slot)\n", + " else:\n", + " weights = np.array([1 if item.category=='Automotive' else 5 for item in slot])\n", + " weights = weights / np.sum(weights)\n", + " selected_indices = np.random.choice(len(slot), size=900, replace=False, p=weights)\n", + " selected = [slot[i] for i in selected_indices]\n", + " sample.extend(selected)\n", + "len(sample)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "6f56ae0c-c802-436d-be42-6439143b177f", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the distribution of prices\n", + "\n", + "prices = [float(item.price) for item in sample]\n", + "plt.figure(figsize=(15, 6))\n", + "plt.title(f\"Avg {sum(prices)/len(prices):.2f} and highest {max(prices):,.2f}\\n\")\n", + "plt.xlabel('Price ($)')\n", + "plt.ylabel('Count')\n", + "plt.hist(prices, rwidth=0.7, color=\"darkblue\", bins=range(0, 1000, 10))\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "a9bdc6d5-3766-4251-81bb-a1bcebe80ce1", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "category_counts = Counter()\n", + "for item in sample:\n", + " category_counts[item.category]+=1\n", + "\n", + "categories = category_counts.keys()\n", + "counts = [category_counts[category] for category in categories]\n", + "\n", + "# Create bar chart\n", + "plt.figure(figsize=(15, 6))\n", + "plt.bar(categories, counts, color=\"lightgreen\")\n", + "\n", + "# Customize the chart\n", + "plt.title('How many in each category')\n", + "plt.xlabel('Categories')\n", + "plt.ylabel('Count')\n", + "\n", + "plt.xticks(rotation=30, ha='right')\n", + "\n", + "# Add value labels on top of each bar\n", + "for i, v in enumerate(counts):\n", + " plt.text(i, v, f\"{v:,}\", ha='center', va='bottom')\n", + "\n", + "# Display the chart\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "8d692349-6814-4b02-aa20-705279ee5295", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n", + "\n", + "You estimate prices to the nearest dollar<|eot_id|><|start_header_id|>user<|end_header_id|>\n", + "\n", + "How much is this?\n", + "Inspired Home Monroe Blush Velvet Platform Bed Queen Size Our velvet bed frame adds a measure of modern sophistication and elegance to your bedroom. Get the feeling of laying your head down each night in a upscale five star hotel room. This stylish bed frame features exquisite velvet, a button tufted high density foam padded headboard, and tapered solid wood legs to provide a luxurious end to your day. SPECIFICATIONS DIMENSIONS 66.2 W x 87.8 D x 59.9 H DIMENSIONS 66.2 W x 87.8 D x 59.9 H FABRIC and MATERIALS Velvet, Foam, Plywood, Eucalyptus FABRIC and<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n", + "\n", + "Price is $740.00<|eot_id|>\n", + "[78191, 128007, 271, 7117, 374, 400, 21112, 13, 410, 128009]\n", + "['assistant', '<|end_header_id|>', '\\n\\n', 'Price', ' is', ' $', '740', '.', '00', '<|eot_id|>']\n" + ] + } + ], + "source": [ + "report(sample[400000])" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "6a28fa68-392a-4d8d-8c72-eeea4615d937", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "category_counts = Counter()\n", + "for item in sample:\n", + " category_counts[item.category]+=1\n", + "\n", + "categories = category_counts.keys()\n", + "counts = [category_counts[category] for category in categories]\n", + "\n", + "plt.figure(figsize=(12, 10))\n", + "plt.pie(counts, labels=categories, autopct='%1.0f%%', startangle=90)\n", + "\n", + "# Add a circle at the center to create a donut chart (optional)\n", + "centre_circle = plt.Circle((0,0), 0.70, fc='white')\n", + "fig = plt.gcf()\n", + "fig.gca().add_artist(centre_circle)\n", + "\n", + "# Customize the chart\n", + "plt.title('Categories')\n", + "\n", + "# Equal aspect ratio ensures that pie is drawn as a circle\n", + "plt.axis('equal') \n", + "\n", + "# Display the chart\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "38d31aa3-8a3a-4626-9c50-f55635ca6d18", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sizes = [len(item.prompt) for item in sample]\n", + "prices = [item.price for item in sample]\n", + "\n", + "# Create the scatter plot\n", + "plt.figure(figsize=(15, 8))\n", + "plt.scatter(sizes, prices, s=0.2, color=\"red\")\n", + "\n", + "# Add labels and title\n", + "plt.xlabel('Size')\n", + "plt.ylabel('Price')\n", + "plt.title('Is there a simple correlation?')\n", + "\n", + "# Display the plot\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "f8cfa1af-aadd-416b-b0f9-2bb5fd4d2263", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the distribution again to check it looks as expected\n", + "\n", + "token_counts = [item.token_count for item in sample]\n", + "fig, ax = plt.subplots(1, 1)\n", + "ax.set_xlabel('Number of tokens')\n", + "ax.set_ylabel('Count of items');\n", + "_ = ax.hist(token_counts, rwidth=0.7, color=\"purple\", bins=range(0, 300, 10))" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "59ef7aef-b6f6-4042-a2af-ddd5ae1c9999", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n", + "\n", + "You estimate prices to the nearest dollar<|eot_id|><|start_header_id|>user<|end_header_id|>\n", + "\n", + "How much is this?\n", + "RCF Art 915A 15-inch Active Speaker Power and Portability All in One Brand RCF, Model Name ART 915A, Speaker Type Subwoofer, Subwoofer Diameter 15 Inches, Mounting Type Wall Mount, Surround Sound Channel Configuration 2.0, Speaker Maximum Output Power 2100 Watts, Weight 58.8 pounds, Is Waterproof FALSE, Speaker Size 15 Inches, Power Source Corded Electric, Vehicle Service Type Car, Dimensions 30 x 18.7 x 18.5 inches, model number ART-915A, Rank Musical Instruments 22180, Powered Speaker Cabinets 44, Available August 26, 2021, Manufacturer R<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n", + "\n", + "Price is $999.00<|eot_id|>\n", + "[78191, 128007, 271, 7117, 374, 400, 5500, 13, 410, 128009]\n", + "['assistant', '<|end_header_id|>', '\\n\\n', 'Price', ' is', ' $', '999', '.', '00', '<|eot_id|>']\n" + ] + } + ], + "source": [ + "report(sample[-2])" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "cacb9059-5f44-4601-860a-30860cebe9c2", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Divided into a training set of 400,000 items and validation set of 10,000 items and test set of 10,000 items\n" + ] + } + ], + "source": [ + "random.seed(42)\n", + "random.shuffle(sample)\n", + "train = sample[:400_000]\n", + "validate = sample[400_000:410_000]\n", + "test = sample[410_000:420_000]\n", + "print(f\"Divided into a training set of {len(train):,} items and validation set of {len(validate):,} items and test set of {len(test):,} items\")" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "bf435bcd-accf-427c-82d5-02b33a56737c", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the distribution of prices\n", + "\n", + "prices = [float(item.price) for item in test[:250]]\n", + "plt.figure(figsize=(15, 6))\n", + "plt.title(f\"Avg {sum(prices)/len(prices):.2f} and highest {max(prices):,.2f}\\n\")\n", + "plt.xlabel('Price ($)')\n", + "plt.ylabel('Count')\n", + "plt.hist(prices, rwidth=0.7, color=\"darkblue\", bins=range(0, 1000, 10))\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "6b26000a-e5a9-4ab7-83fc-8eb44cb12f94", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "37495" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "del items, slots\n", + "import gc\n", + "gc.collect()" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "id": "ac79ea0f-555f-4f25-8b77-0973f757501d", + "metadata": {}, + "outputs": [], + "source": [ + "class PhiItem:\n", + " phi_tokenizer = AutoTokenizer.from_pretrained(PHI3, trust_remote_code=True)\n", + " \n", + " def __init__(self, item):\n", + " self.item = item\n", + " self.prompt = self.phi_tokenizer.apply_chat_template(self.item.messages(), tokenize=False, add_generation_prompt=False)\n", + " self.prompt = self.prompt.replace(\"How much is this?\", \"Estimate price to the nearest dollar:\")\n", + " self.token_count = len(self.phi_tokenizer.encode(self.prompt))\n", + " \n", + " def test_prompt():\n", + " return self.prompt.split(self.item.PREFIX)[0] + self.item.PREFIX\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "id": "32b58f1e-fdbb-4069-8618-7ec6f6386eff", + "metadata": {}, + "outputs": [], + "source": [ + "item = PhiItem(train[0])" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "id": "c6388cc1-a341-49cf-a329-ba71f3a0cab8", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|█████████████████████████████████| 400000/400000 [01:30<00:00, 4434.87it/s]\n" + ] + } + ], + "source": [ + "phis = [PhiItem(t) for t in tqdm(train)]" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "id": "5badec8c-9b66-4534-927f-058f2b4d7475", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "352" + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "max([phi.token_count for phi in phis])" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "id": "240629d5-b6f4-42a5-870f-28936b2be521", + "metadata": {}, + "outputs": [], + "source": [ + "smaller = [p for p in phis if p.token_count <= 220]" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "id": "ed2d623b-b129-4d40-82f2-5aac12dca1e3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "353399" + ] + }, + "execution_count": 61, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(smaller)" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "id": "3fab5c13-3269-4d04-b695-30c781142e5b", + "metadata": {}, + "outputs": [], + "source": [ + "class GemmaItem:\n", + " gemma_tokenizer = AutoTokenizer.from_pretrained(GEMMA, trust_remote_code=True)\n", + " \n", + " def __init__(self, item):\n", + " self.item = item\n", + " self.prompt = self.gemma_tokenizer.apply_chat_template(self.item.messages()[1:], tokenize=False, add_generation_prompt=False)\n", + " self.prompt = self.prompt.replace(\"How much is this?\", \"Estimate price to the nearest dollar:\")\n", + " self.token_count = len(self.gemma_tokenizer.encode(self.prompt))\n", + " \n", + " def test_prompt():\n", + " return self.prompt.split(self.item.PREFIX)[0] + self.item.PREFIX" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "id": "dac7939f-d2ee-4206-8a43-ef4795021083", + "metadata": {}, + "outputs": [], + "source": [ + "item = GemmaItem(train[0])" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "id": "d69f8934-543d-4f03-9e6c-1738b62ddcdf", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|█████████████████████████████████| 400000/400000 [01:45<00:00, 3794.27it/s]\n" + ] + } + ], + "source": [ + "gemmas = [GemmaItem(t) for t in tqdm(train)]" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "id": "d2b6902e-be7a-46f6-9ffc-4fea208d506e", + "metadata": {}, + "outputs": [], + "source": [ + "smaller = [g for g in gemmas if g.token_count <= 180]" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "id": "ceef7278-7e86-490b-9fad-c21c7ec531ef", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "288519" + ] + }, + "execution_count": 71, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(smaller)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3615bfdd-f23e-4005-96d8-7b52a1a439be", + "metadata": {}, + "outputs": [], + "source": [ + "import csv\n", + "with open('test.csv', 'w') as csvfile:\n", + " writer = csv.writer(csvfile)\n", + " for t in test[:200]:\n", + " writer.writerow([t.title, t.details, 0])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cb6907e9-37d7-4283-b1a9-8124f9f3439b", + "metadata": {}, + "outputs": [], + "source": [ + "human_predictions = []\n", + "with open('human.csv', 'r') as csvfile:\n", + " reader = csv.reader(csvfile)\n", + " for row in reader:\n", + " human_predictions.append(float(row[2]))" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "dd7c5db1-4510-4768-bef1-bdac2a7b392f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "282.68274244966665" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "average = sum(t.price for t in train)/len(train)\n", + "average" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "95353e68-07ac-4f57-8d57-dd48cacb0e04", + "metadata": {}, + "outputs": [], + "source": [ + "class TestRunner:\n", + "\n", + " def __init__(self, predictor, data, title, size=250):\n", + " self.predictor = predictor\n", + " self.data = data\n", + " self.title = title\n", + " self.size = size\n", + " self.guesses = []\n", + " self.truths = []\n", + " self.errors = []\n", + " self.sles = []\n", + " self.colors = []\n", + "\n", + " def run_datapoint(self, i):\n", + " datapoint = self.data[i]\n", + " guess = self.predictor(datapoint)\n", + " truth = datapoint.price\n", + " error = abs(guess - truth)\n", + " log_error = math.log(truth+1) - math.log(guess+1)\n", + " sle = log_error ** 2\n", + " color = RED if error>=20 else YELLOW if error>=10 else GREEN\n", + " color_str = \"red\" if error>=20 else \"yellow\" if error>=10 else \"green\"\n", + " title = datapoint.title if len(datapoint.title) <= 40 else datapoint.title[:40]+\"...\"\n", + " self.guesses.append(guess)\n", + " self.truths.append(truth)\n", + " self.errors.append(error)\n", + " self.sles.append(sle)\n", + " self.colors.append(color_str)\n", + " print(f\"{color}{i+1}: Guess: ${guess:,.2f} Truth: ${truth:,.2f} Error: ${error:,.2f} SLE: {sle:,.2f} Item: {title}{RESET}\")\n", + "\n", + " def chart(self, title):\n", + " max_error = max(self.errors)\n", + " plt.figure(figsize=(12, 8))\n", + " plt.scatter(self.truths, self.guesses, s=3, c=self.colors)\n", + " plt.xlabel('Ground Truth')\n", + " plt.ylabel('Model Estimate')\n", + " plt.title(title)\n", + " plt.show()\n", + "\n", + " def report(self):\n", + " average_error = sum(self.errors) / self.size\n", + " rmsle = math.sqrt(sum(self.sles) / self.size)\n", + " hits = [e for e in self.errors if e<20]\n", + " title = f\"{self.title} Error=${average_error:,.2f} RMSLE={rmsle:,.2f} Hits={len(hits)/self.size*100:.1f}%\"\n", + " self.chart(title)\n", + "\n", + " def run(self):\n", + " self.error = 0\n", + " for i in range(self.size):\n", + " self.run_datapoint(i)\n", + " self.report()\n", + " return self" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "e3a8519f-c139-4c72-8d9c-39ccedda2f7b", + "metadata": {}, + "outputs": [], + "source": [ + "train_average = sum(t.price for t in train)/len(train)\n", + "\n", + "def flat_predictor(item):\n", + " return train_average" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "739d2e33-55d4-4892-b42c-771131159c8d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[91m1: Guess: $282.68 Truth: $731.40 Error: $448.72 SLE: 0.90 Item: Bobkona Sectional Sofa Set Coffee\u001b[0m\n", + "\u001b[93m2: Guess: $282.68 Truth: $269.99 Error: $12.69 SLE: 0.00 Item: MAT EXPERT Kitchen Pantry Cupboard Cabin...\u001b[0m\n", + "\u001b[91m3: Guess: $282.68 Truth: $841.80 Error: $559.12 SLE: 1.19 Item: 2022 Flagship HP Pavilion 15.6\" FHD 1080...\u001b[0m\n", + "\u001b[93m4: Guess: $282.68 Truth: $300.73 Error: $18.05 SLE: 0.00 Item: Five Ten Adidas Hiangle Pro Competition ...\u001b[0m\n", + "\u001b[91m5: Guess: $282.68 Truth: $80.95 Error: $201.73 SLE: 1.54 Item: WOG: New York 1776, the New York Campaig...\u001b[0m\n", + "\u001b[91m6: Guess: $282.68 Truth: $734.43 Error: $451.75 SLE: 0.91 Item: P3 POMPEII3 1 1/10ct Diamond Engagement ...\u001b[0m\n", + "\u001b[91m7: Guess: $282.68 Truth: $77.99 Error: $204.69 SLE: 1.63 Item: NOVICA Purple Hand Painted Alebrije Wood...\u001b[0m\n", + "\u001b[91m8: Guess: $282.68 Truth: $399.00 Error: $116.32 SLE: 0.12 Item: ddrum DD Beta XP Electronic Drum Kit\u001b[0m\n", + "\u001b[91m9: Guess: $282.68 Truth: $592.24 Error: $309.56 SLE: 0.54 Item: Lund Hard Tri-Fold Hard Folding Truck Be...\u001b[0m\n", + "\u001b[92m10: Guess: $282.68 Truth: $279.99 Error: $2.69 SLE: 0.00 Item: NUWATT 4 Pack, 2x4 FT LED Ceiling Panel,...\u001b[0m\n", + "\u001b[91m11: Guess: $282.68 Truth: $219.99 Error: $62.69 SLE: 0.06 Item: 1.5'' Big Dude 10'' Height Handlebars fo...\u001b[0m\n", + "\u001b[91m12: Guess: $282.68 Truth: $835.99 Error: $553.31 SLE: 1.17 Item: Seismic Audio Speakers Magnitude 3600 2 ...\u001b[0m\n", + "\u001b[91m13: Guess: $282.68 Truth: $196.99 Error: $85.69 SLE: 0.13 Item: Firepro V5800 1GB Pcie Giftbox\u001b[0m\n", + "\u001b[93m14: Guess: $282.68 Truth: $265.33 Error: $17.35 SLE: 0.00 Item: doTERRA - Deep Blue Rub - 32 oz\u001b[0m\n", + "\u001b[91m15: Guess: $282.68 Truth: $356.50 Error: $73.82 SLE: 0.05 Item: JACKPUCK press 2 ton - Small Round Mould\u001b[0m\n", + "\u001b[91m16: Guess: $282.68 Truth: $180.60 Error: $102.08 SLE: 0.20 Item: OASE Indoor Aquatics OptiMax 1420\u001b[0m\n", + "\u001b[91m17: Guess: $282.68 Truth: $363.56 Error: $80.88 SLE: 0.06 Item: AKRacing Core Ex-Wide SE Sedia da Gioco,...\u001b[0m\n", + "\u001b[92m18: Guess: $282.68 Truth: $284.99 Error: $2.31 SLE: 0.00 Item: Devoko Patio Furniture Set 5 Pieces Pati...\u001b[0m\n", + "\u001b[91m19: Guess: $282.68 Truth: $244.12 Error: $38.56 SLE: 0.02 Item: WarmlyYours TRT120-KIT-OT-1.5x06 TempZon...\u001b[0m\n", + "\u001b[91m20: Guess: $282.68 Truth: $946.25 Error: $663.57 SLE: 1.45 Item: JDBands 14K Yellow Solid Gold Hand Braid...\u001b[0m\n", + "\u001b[91m21: Guess: $282.68 Truth: $39.99 Error: $242.69 SLE: 3.74 Item: SmallRig Field Monitor Mount with NATO C...\u001b[0m\n", + "\u001b[91m22: Guess: $282.68 Truth: $204.14 Error: $78.54 SLE: 0.11 Item: DWK \"American Bison\" Wall Mounted Faux B...\u001b[0m\n", + "\u001b[91m23: Guess: $282.68 Truth: $339.00 Error: $56.32 SLE: 0.03 Item: Echomaster FCTP-DR1304 Blind Spot Camera...\u001b[0m\n", + "\u001b[91m24: Guess: $282.68 Truth: $72.49 Error: $210.19 SLE: 1.82 Item: Stanley Proto J48005LS2 Long Drive Pin P...\u001b[0m\n", + "\u001b[91m25: Guess: $282.68 Truth: $1.69 Error: $280.99 SLE: 21.70 Item: Chrome Nail Powder Metallic Mirror Effec...\u001b[0m\n", + "\u001b[92m26: Guess: $282.68 Truth: $289.95 Error: $7.27 SLE: 0.00 Item: Kohler 24-025-57-S Lawn & Garden Equipme...\u001b[0m\n", + "\u001b[91m27: Guess: $282.68 Truth: $649.00 Error: $366.32 SLE: 0.69 Item: Lenovo 2021 Ideapad 3 Premium Laptop I 1...\u001b[0m\n", + "\u001b[91m28: Guess: $282.68 Truth: $107.35 Error: $175.33 SLE: 0.93 Item: CRUX DKGM-49 Replacement Radio and Dash ...\u001b[0m\n", + "\u001b[91m29: Guess: $282.68 Truth: $126.30 Error: $156.38 SLE: 0.64 Item: G-Technology G-DRIVE mobile USB Portable...\u001b[0m\n", + "\u001b[91m30: Guess: $282.68 Truth: $165.50 Error: $117.18 SLE: 0.28 Item: FPV Drone with HD Camera for Adults, 5In...\u001b[0m\n", + "\u001b[91m31: Guess: $282.68 Truth: $178.43 Error: $104.25 SLE: 0.21 Item: Rough Country High Steer Correction for ...\u001b[0m\n", + "\u001b[91m32: Guess: $282.68 Truth: $28.99 Error: $253.69 SLE: 5.05 Item: LaDoVita 3 Pack Ceramic Plant Pots 6/5/4...\u001b[0m\n", + "\u001b[91m33: Guess: $282.68 Truth: $245.95 Error: $36.73 SLE: 0.02 Item: InFocus SP-Lamp-015 Replacement Lamp for...\u001b[0m\n", + "\u001b[91m34: Guess: $282.68 Truth: $380.25 Error: $97.57 SLE: 0.09 Item: Pokemon - Dark Tyranitar (11) - Neo Dest...\u001b[0m\n", + "\u001b[91m35: Guess: $282.68 Truth: $82.99 Error: $199.69 SLE: 1.48 Item: Knives Of Alaska SureGrip Jaeger Boning ...\u001b[0m\n", + "\u001b[91m36: Guess: $282.68 Truth: $83.76 Error: $198.92 SLE: 1.46 Item: Eminence Arctic Berry Peptide Radiance C...\u001b[0m\n", + "\u001b[91m37: Guess: $282.68 Truth: $16.97 Error: $265.71 SLE: 7.61 Item: Madewell Women's Short Sleeve Harley Tee\u001b[0m\n", + "\u001b[92m38: Guess: $282.68 Truth: $288.31 Error: $5.63 SLE: 0.00 Item: Wireless Earbuds, Bluetooth Earbuds with...\u001b[0m\n", + "\u001b[91m39: Guess: $282.68 Truth: $171.79 Error: $110.89 SLE: 0.25 Item: Esco Equipment (ESC10436) 10 Ton Fork Li...\u001b[0m\n", + "\u001b[91m40: Guess: $282.68 Truth: $176.99 Error: $105.69 SLE: 0.22 Item: for Dodge Charger 2006-2022 Car Seat Cov...\u001b[0m\n", + "\u001b[91m41: Guess: $282.68 Truth: $218.75 Error: $63.93 SLE: 0.07 Item: Gin and Grace 10K Yellow Gold Natural Au...\u001b[0m\n", + "\u001b[91m42: Guess: $282.68 Truth: $177.95 Error: $104.73 SLE: 0.21 Item: SAMSUNG Galaxy A23 5G A Series Cell Phon...\u001b[0m\n", + "\u001b[91m43: Guess: $282.68 Truth: $216.63 Error: $66.05 SLE: 0.07 Item: Innovate Motorsports 3918 MTX Series MTX...\u001b[0m\n", + "\u001b[91m44: Guess: $282.68 Truth: $68.99 Error: $213.69 SLE: 1.96 Item: Earthbath Eucalyptus and Peppermint Conc...\u001b[0m\n", + "\u001b[91m45: Guess: $282.68 Truth: $89.91 Error: $192.77 SLE: 1.30 Item: Classic 1X1 Squares Gray Light Blue Glos...\u001b[0m\n", + "\u001b[91m46: Guess: $282.68 Truth: $316.40 Error: $33.72 SLE: 0.01 Item: [Switchback LED] VIPMOTOZ Black Bezel OL...\u001b[0m\n", + "\u001b[91m47: Guess: $282.68 Truth: $23.99 Error: $258.69 SLE: 5.90 Item: 300 Pcs Kraft Bags with Window Kraft Sta...\u001b[0m\n", + "\u001b[91m48: Guess: $282.68 Truth: $169.00 Error: $113.68 SLE: 0.26 Item: Osram Sylvania QTP4X32T8/UNV ISN-SC 4994...\u001b[0m\n", + "\u001b[91m49: Guess: $282.68 Truth: $361.99 Error: $79.31 SLE: 0.06 Item: CHARMMA Adjustable Swivel Chairs Recline...\u001b[0m\n", + "\u001b[91m50: Guess: $282.68 Truth: $216.00 Error: $66.68 SLE: 0.07 Item: CanDo Firm Non-Slip, Dual-Textured, Weig...\u001b[0m\n", + "\u001b[91m51: Guess: $282.68 Truth: $70.99 Error: $211.69 SLE: 1.88 Item: Guard Plastic Plates Box for Shoe & Boot...\u001b[0m\n", + "\u001b[91m52: Guess: $282.68 Truth: $64.99 Error: $217.69 SLE: 2.13 Item: Bonnlo 3 Piece Dining Set, Small Kitchen...\u001b[0m\n", + "\u001b[91m53: Guess: $282.68 Truth: $239.00 Error: $43.68 SLE: 0.03 Item: Myers Pickups The Feather-2 Concertina M...\u001b[0m\n", + "\u001b[91m54: Guess: $282.68 Truth: $849.99 Error: $567.31 SLE: 1.21 Item: 66 inch DENALI Pro UTV Snow Plow Kit in ...\u001b[0m\n", + "\u001b[91m55: Guess: $282.68 Truth: $69.54 Error: $213.14 SLE: 1.94 Item: Art3d Peel and Stick Mother of Pearl She...\u001b[0m\n", + "\u001b[91m56: Guess: $282.68 Truth: $215.89 Error: $66.79 SLE: 0.07 Item: PAKASEPT Vanity Set with Sliding Lighted...\u001b[0m\n", + "\u001b[91m57: Guess: $282.68 Truth: $349.00 Error: $66.32 SLE: 0.04 Item: Adjustable Queen Size Deluxe Murphy Bed ...\u001b[0m\n", + "\u001b[91m58: Guess: $282.68 Truth: $92.26 Error: $190.42 SLE: 1.24 Item: Dell Imaging Drum\u001b[0m\n", + "\u001b[91m59: Guess: $282.68 Truth: $672.76 Error: $390.08 SLE: 0.75 Item: Evan Fischer Catalytic Converter 46-Stat...\u001b[0m\n", + "\u001b[91m60: Guess: $282.68 Truth: $19.00 Error: $263.68 SLE: 7.03 Item: Flip Cover for Pocketbook Era, Shiny Bei...\u001b[0m\n", + "\u001b[92m61: Guess: $282.68 Truth: $279.40 Error: $3.28 SLE: 0.00 Item: Brayden Petit Silver 20 1/4\" x 30 1/4\" A...\u001b[0m\n", + "\u001b[93m62: Guess: $282.68 Truth: $266.88 Error: $15.80 SLE: 0.00 Item: Bahco S138 Socket & Mechanical Set, Metr...\u001b[0m\n", + "\u001b[91m63: Guess: $282.68 Truth: $123.90 Error: $158.78 SLE: 0.67 Item: Ready to Install Package : Directv HD Sa...\u001b[0m\n", + "\u001b[91m64: Guess: $282.68 Truth: $527.21 Error: $244.53 SLE: 0.39 Item: iridium GO! Fixed Installation Kit\u001b[0m\n", + "\u001b[91m65: Guess: $282.68 Truth: $69.00 Error: $213.68 SLE: 1.96 Item: Natori Women's Yogi Contour Convertible ...\u001b[0m\n", + "\u001b[91m66: Guess: $282.68 Truth: $322.00 Error: $39.32 SLE: 0.02 Item: Oriental Furniture 6 ft. Tall Bamboo Wav...\u001b[0m\n", + "\u001b[91m67: Guess: $282.68 Truth: $309.00 Error: $26.32 SLE: 0.01 Item: Corral Boots C3730\u001b[0m\n", + "\u001b[91m68: Guess: $282.68 Truth: $549.99 Error: $267.31 SLE: 0.44 Item: Frigidaire Home Comfort White 10,000 BTU...\u001b[0m\n", + "\u001b[91m69: Guess: $282.68 Truth: $76.05 Error: $206.63 SLE: 1.70 Item: Pillow Perfect Outdoor/Indoor in The Fra...\u001b[0m\n", + "\u001b[93m70: Guess: $282.68 Truth: $268.26 Error: $14.42 SLE: 0.00 Item: Evan Fischer Catalytic Converter 46-Stat...\u001b[0m\n", + "\u001b[91m71: Guess: $282.68 Truth: $567.19 Error: $284.51 SLE: 0.48 Item: Moen UT3693EPBN Voss Collection M-CORE 3...\u001b[0m\n", + "\u001b[92m72: Guess: $282.68 Truth: $287.30 Error: $4.62 SLE: 0.00 Item: American Standard 7353841.002 Townsend 8...\u001b[0m\n", + "\u001b[91m73: Guess: $282.68 Truth: $75.00 Error: $207.68 SLE: 1.73 Item: Elaine Coyne Wearable Art Verdigris Pati...\u001b[0m\n", + "\u001b[93m74: Guess: $282.68 Truth: $302.40 Error: $19.72 SLE: 0.00 Item: Home Square 4 Drawer Chest and 2 Drawer ...\u001b[0m\n", + "\u001b[91m75: Guess: $282.68 Truth: $84.99 Error: $197.69 SLE: 1.42 Item: Rite Farm Products L10 Processing KIT Dr...\u001b[0m\n", + "\u001b[91m76: Guess: $282.68 Truth: $95.00 Error: $187.68 SLE: 1.17 Item: Cartier Declaration Essence Eau de Toile...\u001b[0m\n", + "\u001b[91m77: Guess: $282.68 Truth: $242.64 Error: $40.04 SLE: 0.02 Item: Fit System Passenger Side Mirror for GMC...\u001b[0m\n", + "\u001b[91m78: Guess: $282.68 Truth: $619.15 Error: $336.47 SLE: 0.61 Item: B&K Precision 8540 Compact DC Electronic...\u001b[0m\n", + "\u001b[92m79: Guess: $282.68 Truth: $290.00 Error: $7.32 SLE: 0.00 Item: NEC Desktop E203WI-BK 20\" Screen LCD Mon...\u001b[0m\n", + "\u001b[91m80: Guess: $282.68 Truth: $512.81 Error: $230.13 SLE: 0.35 Item: 1.49ct Round Cut Halo Pave Solitaire Spl...\u001b[0m\n", + "\u001b[91m81: Guess: $282.68 Truth: $256.70 Error: $25.98 SLE: 0.01 Item: AUTOSAVER88 Complete Struts Compatible w...\u001b[0m\n", + "\u001b[91m82: Guess: $282.68 Truth: $247.37 Error: $35.31 SLE: 0.02 Item: BJE 007600 Black Knight 99\" Liquid Level...\u001b[0m\n", + "\u001b[91m83: Guess: $282.68 Truth: $432.00 Error: $149.32 SLE: 0.18 Item: Logitech ConferenceCam Connect All-in-On...\u001b[0m\n", + "\u001b[91m84: Guess: $282.68 Truth: $902.60 Error: $619.92 SLE: 1.34 Item: Feiss F3932/12WOAF Avenir Industrial Far...\u001b[0m\n", + "\u001b[91m85: Guess: $282.68 Truth: $374.99 Error: $92.31 SLE: 0.08 Item: Spectre Performance 765 Low Profile Dual...\u001b[0m\n", + "\u001b[91m86: Guess: $282.68 Truth: $154.28 Error: $128.40 SLE: 0.36 Item: Moen 3838CP Four-Function Shower Head, C...\u001b[0m\n", + "\u001b[91m87: Guess: $282.68 Truth: $229.95 Error: $52.73 SLE: 0.04 Item: Bosch Dishwasher Heat Pump 669135 006691...\u001b[0m\n", + "\u001b[91m88: Guess: $282.68 Truth: $815.88 Error: $533.20 SLE: 1.12 Item: Buyers Products 1705440 XD Smooth Alumin...\u001b[0m\n", + "\u001b[91m89: Guess: $282.68 Truth: $312.94 Error: $30.26 SLE: 0.01 Item: Nitto Trail Grappler M/T All-Terrain Tir...\u001b[0m\n", + "\u001b[91m90: Guess: $282.68 Truth: $349.49 Error: $66.81 SLE: 0.04 Item: Linea di Liara Caserti Mid Century Moder...\u001b[0m\n", + "\u001b[91m91: Guess: $282.68 Truth: $379.00 Error: $96.32 SLE: 0.09 Item: Polaris Ranger 900xp Front Bumper (2013-...\u001b[0m\n", + "\u001b[91m92: Guess: $282.68 Truth: $234.80 Error: $47.88 SLE: 0.03 Item: Bulova Frank Lloyd Wright 'December Gift...\u001b[0m\n", + "\u001b[91m93: Guess: $282.68 Truth: $319.00 Error: $36.32 SLE: 0.01 Item: 12\" White Round Plastic Post Top Globe -...\u001b[0m\n", + "\u001b[91m94: Guess: $282.68 Truth: $498.00 Error: $215.32 SLE: 0.32 Item: Teac HA-P90SD-B Portable Hi-Resolution D...\u001b[0m\n", + "\u001b[91m95: Guess: $282.68 Truth: $216.19 Error: $66.49 SLE: 0.07 Item: Dometic DI-GH120M Maroon interVac Garage...\u001b[0m\n", + "\u001b[91m96: Guess: $282.68 Truth: $45.99 Error: $236.69 SLE: 3.23 Item: 1500 Pieces Bamboo Jigsaw Puzzle Board T...\u001b[0m\n", + "\u001b[91m97: Guess: $282.68 Truth: $260.91 Error: $21.77 SLE: 0.01 Item: Fanimation Embrace Indoor Ceiling Fan wi...\u001b[0m\n", + "\u001b[91m98: Guess: $282.68 Truth: $125.99 Error: $156.69 SLE: 0.65 Item: TCL 20 SE 6.82\" Unlocked Cellphone, 4GB ...\u001b[0m\n", + "\u001b[92m99: Guess: $282.68 Truth: $279.99 Error: $2.69 SLE: 0.00 Item: BOUNTECH Inflatable Water Slide for Kids...\u001b[0m\n", + "\u001b[91m100: Guess: $282.68 Truth: $75.81 Error: $206.87 SLE: 1.71 Item: ACME Silhouette Twin HB/FB Only - 02054W...\u001b[0m\n", + "\u001b[91m101: Guess: $282.68 Truth: $248.37 Error: $34.31 SLE: 0.02 Item: Radiator - Pacific Best Inc. Compatible/...\u001b[0m\n", + "\u001b[91m102: Guess: $282.68 Truth: $36.90 Error: $245.78 SLE: 4.05 Item: Deus Board Game\u001b[0m\n", + "\u001b[91m103: Guess: $282.68 Truth: $54.50 Error: $228.18 SLE: 2.66 Item: Colorado Angler Supply KB Tool Kit\u001b[0m\n", + "\u001b[91m104: Guess: $282.68 Truth: $48.00 Error: $234.68 SLE: 3.08 Item: Nantucket Home Gift for A Fireman – 15 I...\u001b[0m\n", + "\u001b[91m105: Guess: $282.68 Truth: $241.15 Error: $41.53 SLE: 0.03 Item: Invicta INVICTA-9937 Men's Pro Diver Col...\u001b[0m\n", + "\u001b[91m106: Guess: $282.68 Truth: $249.00 Error: $33.68 SLE: 0.02 Item: Fast88 Electric Desk Elliptical Machine ...\u001b[0m\n", + "\u001b[91m107: Guess: $282.68 Truth: $569.00 Error: $286.32 SLE: 0.49 Item: Ultrak L10 Series Timer with Printer - O...\u001b[0m\n", + "\u001b[91m108: Guess: $282.68 Truth: $85.69 Error: $196.99 SLE: 1.41 Item: Greenes 36 in. L x 18 in. H Wood White G...\u001b[0m\n", + "\u001b[91m109: Guess: $282.68 Truth: $57.99 Error: $224.69 SLE: 2.47 Item: CHUNGEBS Motion Activated Candy Dispense...\u001b[0m\n", + "\u001b[93m110: Guess: $282.68 Truth: $265.99 Error: $16.69 SLE: 0.00 Item: 255/50R19 107H XL GOODYEAR ASSUR WEATHER...\u001b[0m\n", + "\u001b[91m111: Guess: $282.68 Truth: $210.65 Error: $72.03 SLE: 0.09 Item: Quality-Built 15908N Supreme Import Alte...\u001b[0m\n", + "\u001b[91m112: Guess: $282.68 Truth: $812.74 Error: $530.06 SLE: 1.11 Item: S.R. Smith VOLY Swim N Spike Complete Vo...\u001b[0m\n", + "\u001b[91m113: Guess: $282.68 Truth: $112.99 Error: $169.69 SLE: 0.83 Item: 2-Drawer Mirrored Nightstand for Bedroom...\u001b[0m\n", + "\u001b[91m114: Guess: $282.68 Truth: $373.07 Error: $90.39 SLE: 0.08 Item: Timbren FER35092LB Suspension Enhancemen...\u001b[0m\n", + "\u001b[91m115: Guess: $282.68 Truth: $311.00 Error: $28.32 SLE: 0.01 Item: Crosley Furniture Compact Kitchen Island...\u001b[0m\n", + "\u001b[91m116: Guess: $282.68 Truth: $191.18 Error: $91.50 SLE: 0.15 Item: Prepac Corner Hall Tree, White\u001b[0m\n", + "\u001b[91m117: Guess: $282.68 Truth: $61.99 Error: $220.69 SLE: 2.26 Item: Donnelly Sports Strada USH Tire - 700 x ...\u001b[0m\n", + "\u001b[91m118: Guess: $282.68 Truth: $144.90 Error: $137.78 SLE: 0.44 Item: ELITE ECP22 Pool Cue Case\u001b[0m\n", + "\u001b[91m119: Guess: $282.68 Truth: $639.99 Error: $357.31 SLE: 0.66 Item: 3760 Piece Bolt Bin Kit Grade 8 Nut Bolt...\u001b[0m\n", + "\u001b[91m120: Guess: $282.68 Truth: $313.64 Error: $30.96 SLE: 0.01 Item: GDFStudio Halley Outdoor Reclining Wood ...\u001b[0m\n", + "\u001b[91m121: Guess: $282.68 Truth: $221.37 Error: $61.31 SLE: 0.06 Item: Lenovo Thinkcentre M93p SFF Business Des...\u001b[0m\n", + "\u001b[91m122: Guess: $282.68 Truth: $576.01 Error: $293.33 SLE: 0.50 Item: Wasp 633808551414 Wasptime RF200 RFID Ti...\u001b[0m\n", + "\u001b[91m123: Guess: $282.68 Truth: $82.22 Error: $200.46 SLE: 1.50 Item: Drinking Cup, 5 oz. [Case of 2500]\u001b[0m\n", + "\u001b[91m124: Guess: $282.68 Truth: $490.00 Error: $207.32 SLE: 0.30 Item: Seiko Men's SNAE57 Black Dial Watch\u001b[0m\n", + "\u001b[91m125: Guess: $282.68 Truth: $362.84 Error: $80.16 SLE: 0.06 Item: Control Arm Front Upper & Lower Kit Set ...\u001b[0m\n", + "\u001b[91m126: Guess: $282.68 Truth: $578.00 Error: $295.32 SLE: 0.51 Item: Truhart Street Plus Coilovers 1997-2001 ...\u001b[0m\n", + "\u001b[91m127: Guess: $282.68 Truth: $479.00 Error: $196.32 SLE: 0.28 Item: Small Block Chevy Serpentine System for ...\u001b[0m\n", + "\u001b[91m128: Guess: $282.68 Truth: $165.99 Error: $116.69 SLE: 0.28 Item: Diophros Power Tower Pull Up Bar, Adjust...\u001b[0m\n", + "\u001b[91m129: Guess: $282.68 Truth: $174.99 Error: $107.69 SLE: 0.23 Item: Topeakmart Shoe Rack Storage Cabinet She...\u001b[0m\n", + "\u001b[91m130: Guess: $282.68 Truth: $204.99 Error: $77.69 SLE: 0.10 Item: Steering Wheel, for Beetle 62-71, Ghia 6...\u001b[0m\n", + "\u001b[91m131: Guess: $282.68 Truth: $137.00 Error: $145.68 SLE: 0.52 Item: Maxxis M7305 Rear 100/100-18 Maxxcross I...\u001b[0m\n", + "\u001b[91m132: Guess: $282.68 Truth: $388.23 Error: $105.55 SLE: 0.10 Item: R1 Concepts Front Rear Brakes and Rotors...\u001b[0m\n", + "\u001b[91m133: Guess: $282.68 Truth: $325.00 Error: $42.32 SLE: 0.02 Item: HP Z640 Tower Server - Intel Xeon E5-264...\u001b[0m\n", + "\u001b[91m134: Guess: $282.68 Truth: $849.00 Error: $566.32 SLE: 1.20 Item: Hanover HANGRNHSP8X6-GRN 8 x 6-Ft. Polyc...\u001b[0m\n", + "\u001b[91m135: Guess: $282.68 Truth: $420.27 Error: $137.59 SLE: 0.16 Item: Movie Masterpiece : Iron Man 3 Iron Man ...\u001b[0m\n", + "\u001b[91m136: Guess: $282.68 Truth: $576.95 Error: $294.27 SLE: 0.51 Item: Thumpr NSR Cam for '09+ Dodge 5.7/6.4L H...\u001b[0m\n", + "\u001b[91m137: Guess: $282.68 Truth: $355.65 Error: $72.97 SLE: 0.05 Item: Office Accents 72\"W x 40\"H Rolling Rever...\u001b[0m\n", + "\u001b[91m138: Guess: $282.68 Truth: $371.99 Error: $89.31 SLE: 0.07 Item: Raptor Series Running Boards Steps 5in O...\u001b[0m\n", + "\u001b[91m139: Guess: $282.68 Truth: $669.99 Error: $387.31 SLE: 0.74 Item: Micro Center Intel Core i7-13700K Deskto...\u001b[0m\n", + "\u001b[91m140: Guess: $282.68 Truth: $138.00 Error: $144.68 SLE: 0.51 Item: 3-5 Birthstones Family Mothers Ring 10k ...\u001b[0m\n", + "\u001b[91m141: Guess: $282.68 Truth: $197.98 Error: $84.70 SLE: 0.13 Item: Standing Desk Walking Pad Treadmill with...\u001b[0m\n", + "\u001b[91m142: Guess: $282.68 Truth: $869.99 Error: $587.31 SLE: 1.26 Item: Greatime Storage Bed, Eastern King Size ...\u001b[0m\n", + "\u001b[91m143: Guess: $282.68 Truth: $4.29 Error: $278.39 SLE: 15.86 Item: PrimeMed Self-Adhesive Skived Dancer Pad...\u001b[0m\n", + "\u001b[91m144: Guess: $282.68 Truth: $638.62 Error: $355.94 SLE: 0.66 Item: YITHOPI 2-Seater Sofa Brown Real Goat Le...\u001b[0m\n", + "\u001b[91m145: Guess: $282.68 Truth: $362.75 Error: $80.07 SLE: 0.06 Item: East West Furniture Antique 5 Piece Dini...\u001b[0m\n", + "\u001b[91m146: Guess: $282.68 Truth: $174.20 Error: $108.48 SLE: 0.23 Item: Mean Well SE-1000-48 AC/DC Power Supply,...\u001b[0m\n", + "\u001b[93m147: Guess: $282.68 Truth: $262.99 Error: $19.69 SLE: 0.01 Item: Coaster Furniture Twin Blue Marjorie Met...\u001b[0m\n", + "\u001b[91m148: Guess: $282.68 Truth: $72.59 Error: $210.09 SLE: 1.82 Item: A-Tech 8GB KIT (2 x 4GB) for HP Compaq G...\u001b[0m\n", + "\u001b[91m149: Guess: $282.68 Truth: $449.99 Error: $167.31 SLE: 0.21 Item: AEM (21-8200DC) Brute Force Air Intake S...\u001b[0m\n", + "\u001b[91m150: Guess: $282.68 Truth: $699.99 Error: $417.31 SLE: 0.82 Item: Gold Tone CC-100R Cripple Creek Banjo wi...\u001b[0m\n", + "\u001b[91m151: Guess: $282.68 Truth: $27.99 Error: $254.69 SLE: 5.20 Item: Cestus Brutus HD, Level A7 Cut Resistant...\u001b[0m\n", + "\u001b[91m152: Guess: $282.68 Truth: $72.99 Error: $209.69 SLE: 1.81 Item: Ecomerr Electric Meat Slicer for Home Us...\u001b[0m\n", + "\u001b[91m153: Guess: $282.68 Truth: $206.69 Error: $75.99 SLE: 0.10 Item: LEDMyplace 22W 4ft T8 LED Tube/Bulb, 308...\u001b[0m\n", + "\u001b[91m154: Guess: $282.68 Truth: $303.00 Error: $20.32 SLE: 0.00 Item: Innovative Marine Aquarium Stands APS (A...\u001b[0m\n", + "\u001b[91m155: Guess: $282.68 Truth: $419.98 Error: $137.30 SLE: 0.16 Item: 33 Farmhouse Kitchen Sink - Enbol 33x21 ...\u001b[0m\n", + "\u001b[91m156: Guess: $282.68 Truth: $152.50 Error: $130.18 SLE: 0.38 Item: 14 Pcs Complete Front Suspension Control...\u001b[0m\n", + "\u001b[91m157: Guess: $282.68 Truth: $217.71 Error: $64.97 SLE: 0.07 Item: Sauder Shoal Creek Display Cabinet, Indi...\u001b[0m\n", + "\u001b[91m158: Guess: $282.68 Truth: $34.95 Error: $247.73 SLE: 4.27 Item: SlickMod Chrome Delete Blackout Vinyl Ov...\u001b[0m\n", + "\u001b[91m159: Guess: $282.68 Truth: $619.98 Error: $337.30 SLE: 0.61 Item: ZGNBSD Makeup Vanity - Vanity Desk with ...\u001b[0m\n", + "\u001b[91m160: Guess: $282.68 Truth: $65.00 Error: $217.68 SLE: 2.13 Item: Brixton Women's Joanna Straw Sun Hat\u001b[0m\n", + "\u001b[93m161: Guess: $282.68 Truth: $301.00 Error: $18.32 SLE: 0.00 Item: Savio Livingponds 4000 GPH Pressure Filt...\u001b[0m\n", + "\u001b[91m162: Guess: $282.68 Truth: $246.90 Error: $35.78 SLE: 0.02 Item: Yealink BH72 Bluetooth Headset Wireless ...\u001b[0m\n", + "\u001b[91m163: Guess: $282.68 Truth: $599.99 Error: $317.31 SLE: 0.56 Item: Mighty Mule MM372W Automatic Gate Opener...\u001b[0m\n", + "\u001b[91m164: Guess: $282.68 Truth: $177.99 Error: $104.69 SLE: 0.21 Item: Wilson Electronics Single Antenna Expans...\u001b[0m\n", + "\u001b[91m165: Guess: $282.68 Truth: $799.00 Error: $516.32 SLE: 1.07 Item: Electric Scooter 1000W/600W/500W, 28-34M...\u001b[0m\n", + "\u001b[91m166: Guess: $282.68 Truth: $141.46 Error: $141.22 SLE: 0.47 Item: Lion Steel SR22 Framelock Black Satin LS...\u001b[0m\n", + "\u001b[91m167: Guess: $282.68 Truth: $151.39 Error: $131.29 SLE: 0.39 Item: Safariland 6004 Black Sig P225, P228, P2...\u001b[0m\n", + "\u001b[91m168: Guess: $282.68 Truth: $383.99 Error: $101.31 SLE: 0.09 Item: Power Stop K2260 Front and Rear Z23 Carb...\u001b[0m\n", + "\u001b[91m169: Guess: $282.68 Truth: $330.99 Error: $48.31 SLE: 0.02 Item: Stetson Women's Dakota Western Boot\u001b[0m\n", + "\u001b[91m170: Guess: $282.68 Truth: $16.95 Error: $265.73 SLE: 7.62 Item: South Horizon GO Away T-Shirt\u001b[0m\n", + "\u001b[91m171: Guess: $282.68 Truth: $14.10 Error: $268.58 SLE: 8.60 Item: FIFA Men's Standard WWC France 2019 Wome...\u001b[0m\n", + "\u001b[91m172: Guess: $282.68 Truth: $94.39 Error: $188.29 SLE: 1.19 Item: Wera BC BR 30 Universal Bit Ratchet (Zyk...\u001b[0m\n", + "\u001b[91m173: Guess: $282.68 Truth: $429.99 Error: $147.31 SLE: 0.17 Item: Traxxas Rustler 4x4 VXL, Brushless RC Tr...\u001b[0m\n", + "\u001b[91m174: Guess: $282.68 Truth: $705.00 Error: $422.32 SLE: 0.83 Item: Early 2016 Apple MacBook with 1,2 GHz In...\u001b[0m\n", + "\u001b[91m175: Guess: $282.68 Truth: $199.00 Error: $83.68 SLE: 0.12 Item: Douchebags The Carryall 65l\u001b[0m\n", + "\u001b[91m176: Guess: $282.68 Truth: $314.95 Error: $32.27 SLE: 0.01 Item: MARTHA STEWART Living and Learning Kids'...\u001b[0m\n", + "\u001b[91m177: Guess: $282.68 Truth: $181.65 Error: $101.03 SLE: 0.19 Item: ClearStream 4V Indoor/Outdoor HDTV Anten...\u001b[0m\n", + "\u001b[91m178: Guess: $282.68 Truth: $341.70 Error: $59.02 SLE: 0.04 Item: Callahan Front 324mm and Rear 330mm Dril...\u001b[0m\n", + "\u001b[91m179: Guess: $282.68 Truth: $306.93 Error: $24.25 SLE: 0.01 Item: Innovative Mounts 50110 Traction Bar Kit...\u001b[0m\n", + "\u001b[91m180: Guess: $282.68 Truth: $54.99 Error: $227.69 SLE: 2.63 Item: Nikon FM3A Case, BolinUS Handmade Genuin...\u001b[0m\n", + "\u001b[91m181: Guess: $282.68 Truth: $124.90 Error: $157.78 SLE: 0.66 Item: Las Vegas \"Fabulous Las Vegas\" Padded Sw...\u001b[0m\n", + "\u001b[91m182: Guess: $282.68 Truth: $165.61 Error: $117.07 SLE: 0.28 Item: D-arts Rokusho (12 cm PVC figure) Bandai...\u001b[0m\n", + "\u001b[91m183: Guess: $282.68 Truth: $331.00 Error: $48.32 SLE: 0.02 Item: Crossrock Lightweight Case for 4/4 Full ...\u001b[0m\n", + "\u001b[91m184: Guess: $282.68 Truth: $315.00 Error: $32.32 SLE: 0.01 Item: Genuine Mercedes-Benz Lower Cover 204-91...\u001b[0m\n", + "\u001b[91m185: Guess: $282.68 Truth: $73.50 Error: $209.18 SLE: 1.79 Item: Chi Mei N133bge-l31 Replacement LAPTOP L...\u001b[0m\n", + "\u001b[91m186: Guess: $282.68 Truth: $649.00 Error: $366.32 SLE: 0.69 Item: New Mustang Motorcycle Seat - 2002-2008 ...\u001b[0m\n", + "\u001b[91m187: Guess: $282.68 Truth: $590.00 Error: $307.32 SLE: 0.54 Item: Bric's LIFE 22-Inch Cargo Duffle Bag - L...\u001b[0m\n", + "\u001b[91m188: Guess: $282.68 Truth: $599.99 Error: $317.31 SLE: 0.56 Item: Casa AndreaMilano 3 Piece Microfiber and...\u001b[0m\n", + "\u001b[91m189: Guess: $282.68 Truth: $228.22 Error: $54.46 SLE: 0.05 Item: Mountain Plumbing MT1800-NL/PVDBRN Littl...\u001b[0m\n", + "\u001b[91m190: Guess: $282.68 Truth: $194.95 Error: $87.73 SLE: 0.14 Item: Durango Women's Austin 3 in 1\u001b[0m\n", + "\u001b[91m191: Guess: $282.68 Truth: $329.00 Error: $46.32 SLE: 0.02 Item: QNAP TR-004U 1U 4 Bay Hard Drive Enclosu...\u001b[0m\n", + "\u001b[91m192: Guess: $282.68 Truth: $22.49 Error: $260.19 SLE: 6.21 Item: Gamakatsu 25 Pack EWG Offset Worm Hook\u001b[0m\n", + "\u001b[91m193: Guess: $282.68 Truth: $49.99 Error: $232.69 SLE: 2.95 Item: Benchmark Abrasives 7\" x 7/8\" Premium Hi...\u001b[0m\n", + "\u001b[91m194: Guess: $282.68 Truth: $175.64 Error: $107.04 SLE: 0.22 Item: Delphi HP10017 Fuel Pump and Hanger Asse...\u001b[0m\n", + "\u001b[91m195: Guess: $282.68 Truth: $114.95 Error: $167.73 SLE: 0.80 Item: YaeMarine 2 Steps Boat Out-Board Swim La...\u001b[0m\n", + "\u001b[91m196: Guess: $282.68 Truth: $800.00 Error: $517.32 SLE: 1.08 Item: Karman Healthcare S-2501F16SS-TP Ergonom...\u001b[0m\n", + "\u001b[91m197: Guess: $282.68 Truth: $236.27 Error: $46.41 SLE: 0.03 Item: Bme Dinkee 15 Inch Signature Bed Frame W...\u001b[0m\n", + "\u001b[91m198: Guess: $282.68 Truth: $449.99 Error: $167.31 SLE: 0.21 Item: Leupold DeltaPoint Pro Reflex Sight\u001b[0m\n", + "\u001b[91m199: Guess: $282.68 Truth: $839.00 Error: $556.32 SLE: 1.18 Item: Angara Natural Blue Sapphire Heart Penda...\u001b[0m\n", + "\u001b[91m200: Guess: $282.68 Truth: $202.50 Error: $80.18 SLE: 0.11 Item: Outlaw Cues Pool Cue with Black Bumper W...\u001b[0m\n", + "\u001b[91m201: Guess: $282.68 Truth: $532.00 Error: $249.32 SLE: 0.40 Item: Rev9 R9-HS2-089 Hyper-Street II Coilover...\u001b[0m\n", + "\u001b[91m202: Guess: $282.68 Truth: $257.98 Error: $24.70 SLE: 0.01 Item: Teraflex Dana 44 HD Differential Cover C...\u001b[0m\n", + "\u001b[91m203: Guess: $282.68 Truth: $451.69 Error: $169.01 SLE: 0.22 Item: Beverage Air 502-431D-03 Control - Dixel\u001b[0m\n", + "\u001b[91m204: Guess: $282.68 Truth: $407.79 Error: $125.11 SLE: 0.13 Item: Dayton 1XJX7 Blower, Degrees_Fahrenheit,...\u001b[0m\n", + "\u001b[91m205: Guess: $282.68 Truth: $418.34 Error: $135.66 SLE: 0.15 Item: Turning Point 31501730 Express Stainless...\u001b[0m\n", + "\u001b[91m206: Guess: $282.68 Truth: $334.95 Error: $52.27 SLE: 0.03 Item: Zildjian K Custom Hybrid Crash Cymbal - ...\u001b[0m\n", + "\u001b[91m207: Guess: $282.68 Truth: $119.99 Error: $162.69 SLE: 0.73 Item: Canon PowerShot SX150 IS 14.1 MP Digital...\u001b[0m\n", + "\u001b[91m208: Guess: $282.68 Truth: $444.00 Error: $161.32 SLE: 0.20 Item: 26” Ukulele Black w/Freeboost Electronic...\u001b[0m\n", + "\u001b[91m209: Guess: $282.68 Truth: $260.99 Error: $21.69 SLE: 0.01 Item: Nuheat F1506 Under Floor Heating Mat 120...\u001b[0m\n", + "\u001b[91m210: Guess: $282.68 Truth: $235.99 Error: $46.69 SLE: 0.03 Item: Tangkula Wicker Rocking Chair, Outdoor G...\u001b[0m\n", + "\u001b[91m211: Guess: $282.68 Truth: $539.99 Error: $257.31 SLE: 0.42 Item: DreamLine Visions 56-60 in. W x 58 in. H...\u001b[0m\n", + "\u001b[91m212: Guess: $282.68 Truth: $86.02 Error: $196.66 SLE: 1.40 Item: Lenox RX+ Vari-Raker Band Saw Blade, Bim...\u001b[0m\n", + "\u001b[91m213: Guess: $282.68 Truth: $399.90 Error: $117.22 SLE: 0.12 Item: Compatible with 2002 2003 2004 2005 2006...\u001b[0m\n", + "\u001b[91m214: Guess: $282.68 Truth: $320.00 Error: $37.32 SLE: 0.02 Item: Volcom ELM Stretch Gore Bib Overall\u001b[0m\n", + "\u001b[91m215: Guess: $282.68 Truth: $162.95 Error: $119.73 SLE: 0.30 Item: 5KCP39FGY563S - GE Replacement Condenser...\u001b[0m\n", + "\u001b[91m216: Guess: $282.68 Truth: $4.99 Error: $277.69 SLE: 14.88 Item: BYB Jewelry Pair of 2 Dangling Skull Fak...\u001b[0m\n", + "\u001b[91m217: Guess: $282.68 Truth: $200.54 Error: $82.14 SLE: 0.12 Item: Dell Optiplex 990 Desktop Computer - Int...\u001b[0m\n", + "\u001b[91m218: Guess: $282.68 Truth: $183.41 Error: $99.27 SLE: 0.19 Item: AEM 21-832C Cold Air Intake System\u001b[0m\n", + "\u001b[91m219: Guess: $282.68 Truth: $655.62 Error: $372.94 SLE: 0.70 Item: Erica Synths Drum Sequencer Eurorack Mod...\u001b[0m\n", + "\u001b[91m220: Guess: $282.68 Truth: $596.74 Error: $314.06 SLE: 0.56 Item: Winholt WHSS-1 Table Model Film Wrappers...\u001b[0m\n", + "\u001b[91m221: Guess: $282.68 Truth: $177.64 Error: $105.04 SLE: 0.21 Item: Dooney & Bourke Ostrich Continental Clut...\u001b[0m\n", + "\u001b[91m222: Guess: $282.68 Truth: $343.99 Error: $61.31 SLE: 0.04 Item: Power Stop CRK6958 Coated Brake Rotor an...\u001b[0m\n", + "\u001b[91m223: Guess: $282.68 Truth: $541.09 Error: $258.41 SLE: 0.42 Item: KOHLER K-8459-0 Rely Single-Threshold Sh...\u001b[0m\n", + "\u001b[91m224: Guess: $282.68 Truth: $499.99 Error: $217.31 SLE: 0.32 Item: MANTELSDIRECT Titus Metal Stainless Stee...\u001b[0m\n", + "\u001b[91m225: Guess: $282.68 Truth: $235.00 Error: $47.68 SLE: 0.03 Item: Body-Solid Powerline PPA13X PEC Attachme...\u001b[0m\n", + "\u001b[91m226: Guess: $282.68 Truth: $244.99 Error: $37.69 SLE: 0.02 Item: Lifetime 480074 Contemporary Folding Cha...\u001b[0m\n", + "\u001b[91m227: Guess: $282.68 Truth: $173.25 Error: $109.43 SLE: 0.24 Item: Fowler 54-860-211 Electronic IP54 Ball-A...\u001b[0m\n", + "\u001b[91m228: Guess: $282.68 Truth: $314.00 Error: $31.32 SLE: 0.01 Item: Spyder Auto 5079985 LED Tail Lights Blac...\u001b[0m\n", + "\u001b[91m229: Guess: $282.68 Truth: $468.48 Error: $185.80 SLE: 0.25 Item: Wiseco WK1313 84.50 mm 2-Stroke Watercra...\u001b[0m\n", + "\u001b[91m230: Guess: $282.68 Truth: $928.47 Error: $645.79 SLE: 1.41 Item: Moen 900-002 Flo by Moen 1-1/4-Inch Smar...\u001b[0m\n", + "\u001b[91m231: Guess: $282.68 Truth: $427.49 Error: $144.81 SLE: 0.17 Item: Christopher Knight Home Panama Outdoor A...\u001b[0m\n", + "\u001b[91m232: Guess: $282.68 Truth: $33.99 Error: $248.69 SLE: 4.38 Item: Cranium Brain Breaks Game\u001b[0m\n", + "\u001b[91m233: Guess: $282.68 Truth: $365.00 Error: $82.32 SLE: 0.06 Item: Top Case - Aluminum Top Case - BMW/KTM/Y...\u001b[0m\n", + "\u001b[91m234: Guess: $282.68 Truth: $88.00 Error: $194.68 SLE: 1.34 Item: 58x84\" Rectangular Versailles Blue Cotto...\u001b[0m\n", + "\u001b[91m235: Guess: $282.68 Truth: $440.00 Error: $157.32 SLE: 0.19 Item: Dell i3552-3240BLK 15.6\" HD Laptop (Inte...\u001b[0m\n", + "\u001b[91m236: Guess: $282.68 Truth: $468.00 Error: $185.32 SLE: 0.25 Item: Meyda Tiffany 21211 Moravian Star Pendan...\u001b[0m\n", + "\u001b[91m237: Guess: $282.68 Truth: $21.99 Error: $260.69 SLE: 6.31 Item: Cycling Jersey Men Bike Tops Bicycle Jer...\u001b[0m\n", + "\u001b[91m238: Guess: $282.68 Truth: $719.00 Error: $436.32 SLE: 0.87 Item: Godox VL300 300w New LED Lights,5600K Da...\u001b[0m\n", + "\u001b[91m239: Guess: $282.68 Truth: $230.02 Error: $52.66 SLE: 0.04 Item: La Sportiva Ultra Raptor Mountain Runnin...\u001b[0m\n", + "\u001b[91m240: Guess: $282.68 Truth: $35.85 Error: $246.83 SLE: 4.17 Item: UpBright 2-Prong 29V AC/DC Adapter Compa...\u001b[0m\n", + "\u001b[91m241: Guess: $282.68 Truth: $254.25 Error: $28.43 SLE: 0.01 Item: Ross-Simons Sterling Silver and 14kt Yel...\u001b[0m\n", + "\u001b[91m242: Guess: $282.68 Truth: $96.03 Error: $186.65 SLE: 1.15 Item: RAREELECTRICAL NEW RIGHT TAIL LIGHT COMP...\u001b[0m\n", + "\u001b[91m243: Guess: $282.68 Truth: $789.99 Error: $507.31 SLE: 1.05 Item: Stetsom EX 10500 EQ 2 Ohm Mono Car Audio...\u001b[0m\n", + "\u001b[91m244: Guess: $282.68 Truth: $234.00 Error: $48.68 SLE: 0.04 Item: Microsoft Surface Pro 4 128 GB, 4 GB RAM...\u001b[0m\n", + "\u001b[91m245: Guess: $282.68 Truth: $183.60 Error: $99.08 SLE: 0.18 Item: POOL CHLORINE GRAN 25#\u001b[0m\n", + "\u001b[91m246: Guess: $282.68 Truth: $198.49 Error: $84.19 SLE: 0.12 Item: Disposable Plastic Party Package, Elegan...\u001b[0m\n", + "\u001b[91m247: Guess: $282.68 Truth: $49.95 Error: $232.73 SLE: 2.95 Item: ViewMaster 3 Reel Set HORSES - 21 3D Pic...\u001b[0m\n", + "\u001b[91m248: Guess: $282.68 Truth: $40.76 Error: $241.92 SLE: 3.67 Item: Aquacel Foam Dressing by Convatec ( Dres...\u001b[0m\n", + "\u001b[91m249: Guess: $282.68 Truth: $312.03 Error: $29.35 SLE: 0.01 Item: FONTOI Futon Sofa Bed Memory Foam Couch ...\u001b[0m\n", + "\u001b[91m250: Guess: $282.68 Truth: $584.87 Error: $302.19 SLE: 0.53 Item: Blue Ox BX1124 Base Plate for Jeep Wrang...\u001b[0m\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "runner = TestRunner(flat_predictor, test, \"Flat Predictor\").run()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9d3a5d83-d90b-40af-979f-85aa21816578", + "metadata": {}, + "outputs": [], + "source": [ + "human_predictions = []\n", + "with open('human.csv', 'r') as csvfile:\n", + " reader = csv.reader(csvfile)\n", + " for row in reader:\n", + " human_predictions.append(float(row[2]))\n", + "\n", + "def human_predictor(item):\n", + " index = test.index(item)\n", + " if index==-1:\n", + " raise ValueError(\"Index not found\")\n", + " return human_predictions[index]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6c87c385-d6b7-4a4f-89eb-f4e250337d03", + "metadata": {}, + "outputs": [], + "source": [ + "runner = TestRunner(human_predictor, test, \"Human Predictor\").run()" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "d6a6c4a5-e817-46b8-99d2-9c4ecf9c8685", + "metadata": {}, + "outputs": [], + "source": [ + "stop = set(['the', 'and', 'for', 'is', 'to', 'this', 'with', 'a', 'of', 'your', 'are', 'in','from', 'you', 'or', 'an', 'on', 'by'])\n", + "\n", + "def words(item):\n", + " text = f\"{item.title} {item.details}\"\n", + " text = re.sub(r'[\\(\\)\\[\\]\\{\\},\\'\"\\- \\s]+', ' ', text)\n", + " words = text.strip().lower().split(' ')\n", + " filtered = [word for word in words if word not in stop]\n", + " return \" \".join(filtered)" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "56682e9c-46c9-48f2-baea-e943804290f6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[(':', 6100091),\n", + " ('x', 911812),\n", + " ('item', 722963),\n", + " ('manufacturer', 572602),\n", + " ('number', 564180),\n", + " ('dimensions', 400697),\n", + " ('type', 378885),\n", + " ('inches', 361615),\n", + " ('model', 353956),\n", + " ('brand', 340658),\n", + " ('weight', 339388),\n", + " ('date', 338450),\n", + " ('available', 334864),\n", + " ('first', 333825),\n", + " ('product', 319815),\n", + " ('pounds', 306306),\n", + " ('no', 270824),\n", + " ('best', 270314),\n", + " ('&', 268920),\n", + " ('sellers', 268708),\n", + " ('rank', 268288),\n", + " ('material', 263723),\n", + " ('1', 253801),\n", + " ('color', 219483),\n", + " ('part', 184983),\n", + " ('size', 151616),\n", + " ('batteries', 151329),\n", + " ('package', 147824),\n", + " ('discontinued', 147499),\n", + " ('style', 132435)]" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "documents = [words(item) for item in train]\n", + "from collections import Counter\n", + "count = Counter()\n", + "for doc in documents:\n", + " ws = doc.split(\" \")\n", + " for w in ws:\n", + " count[w]+=1\n", + "count.most_common(30)" + ] + }, + { + "cell_type": "code", + "execution_count": 124, + "id": "262fc576-7606-426c-8aea-5799b3952d2c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
LinearRegression()
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" + ], + "text/plain": [ + "LinearRegression()" + ] + }, + "execution_count": 124, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from sklearn.feature_extraction.text import CountVectorizer\n", + "from sklearn.linear_model import LinearRegression\n", + "import numpy as np\n", + "\n", + "np.random.seed(42)\n", + "\n", + "labels = np.array([float(item.price) for item in train])\n", + "\n", + "vectorizer = CountVectorizer()\n", + "X = vectorizer.fit_transform(documents)\n", + "\n", + "regressor = LinearRegression()\n", + "regressor.fit(X, labels)" + ] + }, + { + "cell_type": "code", + "execution_count": 125, + "id": "bd782b21-8e44-409d-a7b6-f136974958b4", + "metadata": {}, + "outputs": [], + "source": [ + "def linear_regression_predictor(item):\n", + " np.random.seed(42)\n", + " x = vectorizer.transform([words(item)])\n", + " return max(regressor.predict(x)[0], 0)" + ] + }, + { + "cell_type": "code", + "execution_count": 126, + "id": "80e77aae-0071-42e9-8e24-d3aec5256015", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[91m1: Guess: $884.04 Truth: $731.40 Error: $152.64 SLE: 0.04 Item: Bobkona Sectional Sofa Set Coffee\u001b[0m\n", + "\u001b[91m2: Guess: $77.64 Truth: $269.99 Error: $192.35 SLE: 1.53 Item: MAT EXPERT Kitchen Pantry Cupboard Cabin...\u001b[0m\n", + "\u001b[93m3: Guess: $828.49 Truth: $841.80 Error: $13.31 SLE: 0.00 Item: 2022 Flagship HP Pavilion 15.6\" FHD 1080...\u001b[0m\n", + "\u001b[91m4: Guess: $202.25 Truth: $300.73 Error: $98.48 SLE: 0.16 Item: Five Ten Adidas Hiangle Pro Competition ...\u001b[0m\n", + "\u001b[91m5: Guess: $0.00 Truth: $80.95 Error: $80.95 SLE: 19.41 Item: WOG: New York 1776, the New York Campaig...\u001b[0m\n", + "\u001b[91m6: Guess: $542.37 Truth: $734.43 Error: $192.06 SLE: 0.09 Item: P3 POMPEII3 1 1/10ct Diamond Engagement ...\u001b[0m\n", + "\u001b[91m7: Guess: $1.88 Truth: $77.99 Error: $76.11 SLE: 10.96 Item: NOVICA Purple Hand Painted Alebrije Wood...\u001b[0m\n", + "\u001b[91m8: Guess: $196.81 Truth: $399.00 Error: $202.19 SLE: 0.50 Item: ddrum DD Beta XP Electronic Drum Kit\u001b[0m\n", + "\u001b[91m9: Guess: $448.03 Truth: $592.24 Error: $144.21 SLE: 0.08 Item: Lund Hard Tri-Fold Hard Folding Truck Be...\u001b[0m\n", + "\u001b[91m10: Guess: $0.00 Truth: $279.99 Error: $279.99 SLE: 31.79 Item: NUWATT 4 Pack, 2x4 FT LED Ceiling Panel,...\u001b[0m\n", + "\u001b[91m11: Guess: $1,491.77 Truth: $219.99 Error: $1,271.78 SLE: 3.65 Item: 1.5'' Big Dude 10'' Height Handlebars fo...\u001b[0m\n", + "\u001b[92m12: Guess: $826.33 Truth: $835.99 Error: $9.66 SLE: 0.00 Item: Seismic Audio Speakers Magnitude 3600 2 ...\u001b[0m\n", + "\u001b[91m13: Guess: $364.56 Truth: $196.99 Error: $167.57 SLE: 0.38 Item: Firepro V5800 1GB Pcie Giftbox\u001b[0m\n", + "\u001b[91m14: Guess: $94.07 Truth: $265.33 Error: $171.26 SLE: 1.06 Item: doTERRA - 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Dark Tyranitar (11) - Neo Dest...\u001b[0m\n", + "\u001b[91m35: Guess: $0.00 Truth: $82.99 Error: $82.99 SLE: 19.63 Item: Knives Of Alaska SureGrip Jaeger Boning ...\u001b[0m\n", + "\u001b[91m36: Guess: $0.00 Truth: $83.76 Error: $83.76 SLE: 19.71 Item: Eminence Arctic Berry Peptide Radiance C...\u001b[0m\n", + "\u001b[93m37: Guess: $0.00 Truth: $16.97 Error: $16.97 SLE: 8.34 Item: Madewell Women's Short Sleeve Harley Tee\u001b[0m\n", + "\u001b[91m38: Guess: $256.49 Truth: $288.31 Error: $31.82 SLE: 0.01 Item: Wireless Earbuds, Bluetooth Earbuds with...\u001b[0m\n", + "\u001b[91m39: Guess: $0.00 Truth: $171.79 Error: $171.79 SLE: 26.54 Item: Esco Equipment (ESC10436) 10 Ton Fork Li...\u001b[0m\n", + "\u001b[91m40: Guess: $0.00 Truth: $176.99 Error: $176.99 SLE: 26.85 Item: for Dodge Charger 2006-2022 Car Seat Cov...\u001b[0m\n", + "\u001b[91m41: Guess: $533.68 Truth: $218.75 Error: $314.93 SLE: 0.79 Item: Gin and Grace 10K Yellow Gold Natural Au...\u001b[0m\n", + "\u001b[91m42: Guess: $360.56 Truth: $177.95 Error: $182.61 SLE: 0.49 Item: SAMSUNG Galaxy A23 5G A Series Cell Phon...\u001b[0m\n", + "\u001b[91m43: Guess: $0.00 Truth: $216.63 Error: $216.63 SLE: 28.97 Item: Innovate Motorsports 3918 MTX Series MTX...\u001b[0m\n", + "\u001b[91m44: Guess: $0.00 Truth: $68.99 Error: $68.99 SLE: 18.05 Item: Earthbath Eucalyptus and Peppermint Conc...\u001b[0m\n", + "\u001b[91m45: Guess: $0.00 Truth: $89.91 Error: $89.91 SLE: 20.34 Item: Classic 1X1 Squares Gray Light Blue Glos...\u001b[0m\n", + "\u001b[91m46: Guess: $0.00 Truth: $316.40 Error: $316.40 SLE: 33.18 Item: [Switchback LED] VIPMOTOZ Black Bezel OL...\u001b[0m\n", + "\u001b[91m47: Guess: $0.00 Truth: $23.99 Error: $23.99 SLE: 10.36 Item: 300 Pcs Kraft Bags with Window Kraft Sta...\u001b[0m\n", + "\u001b[91m48: Guess: $549.42 Truth: $169.00 Error: $380.42 SLE: 1.38 Item: Osram Sylvania QTP4X32T8/UNV ISN-SC 4994...\u001b[0m\n", + "\u001b[91m49: Guess: $559.38 Truth: $361.99 Error: $197.39 SLE: 0.19 Item: CHARMMA Adjustable Swivel Chairs Recline...\u001b[0m\n", + "\u001b[91m50: Guess: $165.60 Truth: $216.00 Error: $50.40 SLE: 0.07 Item: CanDo Firm Non-Slip, Dual-Textured, Weig...\u001b[0m\n", + "\u001b[91m51: Guess: $209.25 Truth: $70.99 Error: $138.26 SLE: 1.15 Item: Guard Plastic Plates Box for Shoe & Boot...\u001b[0m\n", + "\u001b[91m52: Guess: $0.00 Truth: $64.99 Error: $64.99 SLE: 17.55 Item: Bonnlo 3 Piece Dining Set, Small Kitchen...\u001b[0m\n", + "\u001b[91m53: Guess: $295.14 Truth: $239.00 Error: $56.14 SLE: 0.04 Item: Myers Pickups The Feather-2 Concertina M...\u001b[0m\n", + "\u001b[91m54: Guess: $1,359.42 Truth: $849.99 Error: $509.43 SLE: 0.22 Item: 66 inch DENALI Pro UTV Snow Plow Kit in ...\u001b[0m\n", + "\u001b[91m55: Guess: $0.00 Truth: $69.54 Error: $69.54 SLE: 18.12 Item: Art3d Peel and Stick Mother of Pearl She...\u001b[0m\n", + "\u001b[91m56: Guess: $0.00 Truth: $215.89 Error: $215.89 SLE: 28.94 Item: PAKASEPT Vanity Set with Sliding Lighted...\u001b[0m\n", + "\u001b[91m57: Guess: $0.00 Truth: $349.00 Error: $349.00 SLE: 34.32 Item: Adjustable Queen Size Deluxe Murphy Bed ...\u001b[0m\n", + "\u001b[91m58: Guess: $293.57 Truth: $92.26 Error: $201.31 SLE: 1.32 Item: Dell Imaging Drum\u001b[0m\n", + "\u001b[91m59: Guess: $421.53 Truth: $672.76 Error: $251.23 SLE: 0.22 Item: Evan Fischer Catalytic Converter 46-Stat...\u001b[0m\n", + "\u001b[93m60: Guess: $38.12 Truth: $19.00 Error: $19.12 SLE: 0.45 Item: Flip Cover for Pocketbook Era, Shiny Bei...\u001b[0m\n", + "\u001b[91m61: Guess: $617.76 Truth: $279.40 Error: $338.36 SLE: 0.63 Item: Brayden Petit Silver 20 1/4\" x 30 1/4\" A...\u001b[0m\n", + "\u001b[91m62: Guess: $102.91 Truth: $266.88 Error: $163.97 SLE: 0.90 Item: Bahco S138 Socket & Mechanical Set, Metr...\u001b[0m\n", + "\u001b[91m63: Guess: $49.86 Truth: $123.90 Error: $74.04 SLE: 0.81 Item: Ready to Install Package : Directv HD Sa...\u001b[0m\n", + "\u001b[91m64: Guess: $649.22 Truth: $527.21 Error: $122.01 SLE: 0.04 Item: iridium GO! Fixed Installation Kit\u001b[0m\n", + "\u001b[91m65: Guess: $0.00 Truth: $69.00 Error: $69.00 SLE: 18.05 Item: Natori Women's Yogi Contour Convertible ...\u001b[0m\n", + "\u001b[91m66: Guess: $369.98 Truth: $322.00 Error: $47.98 SLE: 0.02 Item: Oriental Furniture 6 ft. Tall Bamboo Wav...\u001b[0m\n", + "\u001b[91m67: Guess: $333.62 Truth: $309.00 Error: $24.62 SLE: 0.01 Item: Corral Boots C3730\u001b[0m\n", + "\u001b[91m68: Guess: $703.13 Truth: $549.99 Error: $153.14 SLE: 0.06 Item: Frigidaire Home Comfort White 10,000 BTU...\u001b[0m\n", + "\u001b[91m69: Guess: $1,101.92 Truth: $76.05 Error: $1,025.87 SLE: 7.08 Item: Pillow Perfect Outdoor/Indoor in The Fra...\u001b[0m\n", + "\u001b[91m70: Guess: $614.11 Truth: $268.26 Error: $345.85 SLE: 0.68 Item: Evan Fischer Catalytic Converter 46-Stat...\u001b[0m\n", + "\u001b[91m71: Guess: $152.21 Truth: $567.19 Error: $414.98 SLE: 1.72 Item: Moen UT3693EPBN Voss Collection M-CORE 3...\u001b[0m\n", + "\u001b[91m72: Guess: $384.65 Truth: $287.30 Error: $97.35 SLE: 0.08 Item: American Standard 7353841.002 Townsend 8...\u001b[0m\n", + "\u001b[92m73: Guess: $68.49 Truth: $75.00 Error: $6.51 SLE: 0.01 Item: Elaine Coyne Wearable Art Verdigris Pati...\u001b[0m\n", + "\u001b[91m74: Guess: $775.03 Truth: $302.40 Error: $472.63 SLE: 0.88 Item: Home Square 4 Drawer Chest and 2 Drawer ...\u001b[0m\n", + "\u001b[91m75: Guess: $109.96 Truth: $84.99 Error: $24.97 SLE: 0.07 Item: Rite Farm Products L10 Processing KIT Dr...\u001b[0m\n", + "\u001b[91m76: Guess: $304.45 Truth: $95.00 Error: $209.45 SLE: 1.34 Item: Cartier Declaration Essence Eau de Toile...\u001b[0m\n", + "\u001b[91m77: Guess: $340.73 Truth: $242.64 Error: $98.09 SLE: 0.11 Item: Fit System Passenger Side Mirror for GMC...\u001b[0m\n", + "\u001b[91m78: Guess: $983.91 Truth: $619.15 Error: $364.76 SLE: 0.21 Item: B&K Precision 8540 Compact DC Electronic...\u001b[0m\n", + "\u001b[91m79: Guess: $432.13 Truth: $290.00 Error: $142.13 SLE: 0.16 Item: NEC Desktop E203WI-BK 20\" Screen LCD Mon...\u001b[0m\n", + "\u001b[91m80: Guess: $385.57 Truth: $512.81 Error: $127.24 SLE: 0.08 Item: 1.49ct Round Cut Halo Pave Solitaire Spl...\u001b[0m\n", + "\u001b[91m81: Guess: $0.00 Truth: $256.70 Error: $256.70 SLE: 30.82 Item: AUTOSAVER88 Complete Struts Compatible w...\u001b[0m\n", + "\u001b[91m82: Guess: $282.50 Truth: $247.37 Error: $35.13 SLE: 0.02 Item: BJE 007600 Black Knight 99\" Liquid Level...\u001b[0m\n", + "\u001b[93m83: Guess: $442.70 Truth: $432.00 Error: $10.70 SLE: 0.00 Item: Logitech ConferenceCam Connect All-in-On...\u001b[0m\n", + "\u001b[91m84: Guess: $164.36 Truth: $902.60 Error: $738.24 SLE: 2.88 Item: Feiss F3932/12WOAF Avenir Industrial Far...\u001b[0m\n", + "\u001b[91m85: Guess: $716.09 Truth: $374.99 Error: $341.10 SLE: 0.42 Item: Spectre Performance 765 Low Profile Dual...\u001b[0m\n", + "\u001b[91m86: Guess: $255.47 Truth: $154.28 Error: $101.19 SLE: 0.25 Item: Moen 3838CP Four-Function Shower Head, C...\u001b[0m\n", + "\u001b[91m87: Guess: $324.73 Truth: $229.95 Error: $94.78 SLE: 0.12 Item: Bosch Dishwasher Heat Pump 669135 006691...\u001b[0m\n", + "\u001b[91m88: Guess: $408.20 Truth: $815.88 Error: $407.68 SLE: 0.48 Item: Buyers Products 1705440 XD Smooth Alumin...\u001b[0m\n", + "\u001b[91m89: Guess: $107.59 Truth: $312.94 Error: $205.35 SLE: 1.13 Item: Nitto Trail Grappler M/T All-Terrain Tir...\u001b[0m\n", + "\u001b[91m90: Guess: $377.42 Truth: $349.49 Error: $27.93 SLE: 0.01 Item: Linea di Liara Caserti Mid Century Moder...\u001b[0m\n", + "\u001b[91m91: Guess: $214.48 Truth: $379.00 Error: $164.52 SLE: 0.32 Item: Polaris Ranger 900xp Front Bumper (2013-...\u001b[0m\n", + "\u001b[91m92: Guess: $684.81 Truth: $234.80 Error: $450.01 SLE: 1.14 Item: Bulova Frank Lloyd Wright 'December Gift...\u001b[0m\n", + "\u001b[91m93: Guess: $173.02 Truth: $319.00 Error: $145.98 SLE: 0.37 Item: 12\" White Round Plastic Post Top Globe -...\u001b[0m\n", + "\u001b[91m94: Guess: $114.65 Truth: $498.00 Error: $383.35 SLE: 2.14 Item: Teac HA-P90SD-B Portable Hi-Resolution D...\u001b[0m\n", + "\u001b[91m95: Guess: $84.15 Truth: $216.19 Error: $132.04 SLE: 0.88 Item: Dometic DI-GH120M Maroon interVac Garage...\u001b[0m\n", + "\u001b[93m96: Guess: $63.87 Truth: $45.99 Error: $17.88 SLE: 0.10 Item: 1500 Pieces Bamboo Jigsaw Puzzle Board T...\u001b[0m\n", + "\u001b[93m97: Guess: $280.42 Truth: $260.91 Error: $19.51 SLE: 0.01 Item: Fanimation Embrace Indoor Ceiling Fan wi...\u001b[0m\n", + "\u001b[91m98: Guess: $889.66 Truth: $125.99 Error: $763.67 SLE: 3.79 Item: TCL 20 SE 6.82\" Unlocked Cellphone, 4GB ...\u001b[0m\n", + "\u001b[91m99: Guess: $1,006.38 Truth: $279.99 Error: $726.39 SLE: 1.63 Item: BOUNTECH Inflatable Water Slide for Kids...\u001b[0m\n", + "\u001b[91m100: Guess: $408.85 Truth: $75.81 Error: $333.04 SLE: 2.80 Item: ACME Silhouette Twin HB/FB Only - 02054W...\u001b[0m\n", + "\u001b[91m101: Guess: $587.53 Truth: $248.37 Error: $339.16 SLE: 0.74 Item: Radiator - Pacific Best Inc. Compatible/...\u001b[0m\n", + "\u001b[91m102: Guess: $792.29 Truth: $36.90 Error: $755.39 SLE: 9.25 Item: Deus Board Game\u001b[0m\n", + "\u001b[91m103: Guess: $549.41 Truth: $54.50 Error: $494.91 SLE: 5.26 Item: Colorado Angler Supply KB Tool Kit\u001b[0m\n", + "\u001b[91m104: Guess: $173.26 Truth: $48.00 Error: $125.26 SLE: 1.61 Item: Nantucket Home Gift for A Fireman – 15 I...\u001b[0m\n", + "\u001b[93m105: Guess: $260.70 Truth: $241.15 Error: $19.55 SLE: 0.01 Item: Invicta INVICTA-9937 Men's Pro Diver Col...\u001b[0m\n", + "\u001b[91m106: Guess: $344.69 Truth: $249.00 Error: $95.69 SLE: 0.11 Item: Fast88 Electric Desk Elliptical Machine ...\u001b[0m\n", + "\u001b[91m107: Guess: $221.66 Truth: $569.00 Error: $347.34 SLE: 0.88 Item: Ultrak L10 Series Timer with Printer - O...\u001b[0m\n", + "\u001b[91m108: Guess: $188.18 Truth: $85.69 Error: $102.49 SLE: 0.61 Item: Greenes 36 in. L x 18 in. H Wood White G...\u001b[0m\n", + "\u001b[91m109: Guess: $0.00 Truth: $57.99 Error: $57.99 SLE: 16.62 Item: CHUNGEBS Motion Activated Candy Dispense...\u001b[0m\n", + "\u001b[91m110: Guess: $0.00 Truth: $265.99 Error: $265.99 SLE: 31.22 Item: 255/50R19 107H XL GOODYEAR ASSUR WEATHER...\u001b[0m\n", + "\u001b[91m111: Guess: $253.71 Truth: $210.65 Error: $43.06 SLE: 0.03 Item: Quality-Built 15908N Supreme Import Alte...\u001b[0m\n", + "\u001b[91m112: Guess: $94.36 Truth: $812.74 Error: $718.38 SLE: 4.60 Item: S.R. Smith VOLY Swim N Spike Complete Vo...\u001b[0m\n", + "\u001b[91m113: Guess: $345.59 Truth: $112.99 Error: $232.60 SLE: 1.24 Item: 2-Drawer Mirrored Nightstand for Bedroom...\u001b[0m\n", + "\u001b[91m114: Guess: $250.76 Truth: $373.07 Error: $122.31 SLE: 0.16 Item: Timbren FER35092LB Suspension Enhancemen...\u001b[0m\n", + "\u001b[91m115: Guess: $630.68 Truth: $311.00 Error: $319.68 SLE: 0.50 Item: Crosley Furniture Compact Kitchen Island...\u001b[0m\n", + "\u001b[91m116: Guess: $154.68 Truth: $191.18 Error: $36.50 SLE: 0.04 Item: Prepac Corner Hall Tree, White\u001b[0m\n", + "\u001b[91m117: Guess: $199.97 Truth: $61.99 Error: $137.98 SLE: 1.35 Item: Donnelly Sports Strada USH Tire - 700 x ...\u001b[0m\n", + "\u001b[91m118: Guess: $270.66 Truth: $144.90 Error: $125.76 SLE: 0.39 Item: ELITE ECP22 Pool Cue Case\u001b[0m\n", + "\u001b[91m119: Guess: $519.26 Truth: $639.99 Error: $120.73 SLE: 0.04 Item: 3760 Piece Bolt Bin Kit Grade 8 Nut Bolt...\u001b[0m\n", + "\u001b[91m120: Guess: $132.83 Truth: $313.64 Error: $180.81 SLE: 0.73 Item: GDFStudio Halley Outdoor Reclining Wood ...\u001b[0m\n", + "\u001b[91m121: Guess: $0.00 Truth: $221.37 Error: $221.37 SLE: 29.21 Item: Lenovo Thinkcentre M93p SFF Business Des...\u001b[0m\n", + "\u001b[91m122: Guess: $94.70 Truth: $576.01 Error: $481.31 SLE: 3.23 Item: Wasp 633808551414 Wasptime RF200 RFID Ti...\u001b[0m\n", + "\u001b[91m123: Guess: $0.00 Truth: $82.22 Error: $82.22 SLE: 19.55 Item: Drinking Cup, 5 oz. [Case of 2500]\u001b[0m\n", + "\u001b[91m124: Guess: $132.73 Truth: $490.00 Error: $357.27 SLE: 1.69 Item: Seiko Men's SNAE57 Black Dial Watch\u001b[0m\n", + "\u001b[91m125: Guess: $422.14 Truth: $362.84 Error: $59.30 SLE: 0.02 Item: Control Arm Front Upper & Lower Kit Set ...\u001b[0m\n", + "\u001b[91m126: Guess: $733.38 Truth: $578.00 Error: $155.38 SLE: 0.06 Item: Truhart Street Plus Coilovers 1997-2001 ...\u001b[0m\n", + "\u001b[91m127: Guess: $548.25 Truth: $479.00 Error: $69.25 SLE: 0.02 Item: Small Block Chevy Serpentine System for ...\u001b[0m\n", + "\u001b[91m128: Guess: $480.35 Truth: $165.99 Error: $314.36 SLE: 1.12 Item: Diophros Power Tower Pull Up Bar, Adjust...\u001b[0m\n", + "\u001b[91m129: Guess: $0.00 Truth: $174.99 Error: $174.99 SLE: 26.73 Item: Topeakmart Shoe Rack Storage Cabinet She...\u001b[0m\n", + "\u001b[91m130: Guess: $535.86 Truth: $204.99 Error: $330.87 SLE: 0.92 Item: Steering Wheel, for Beetle 62-71, Ghia 6...\u001b[0m\n", + "\u001b[91m131: Guess: $214.89 Truth: $137.00 Error: $77.89 SLE: 0.20 Item: Maxxis M7305 Rear 100/100-18 Maxxcross I...\u001b[0m\n", + "\u001b[91m132: Guess: $324.52 Truth: $388.23 Error: $63.71 SLE: 0.03 Item: R1 Concepts Front Rear Brakes and Rotors...\u001b[0m\n", + "\u001b[91m133: Guess: $207.12 Truth: $325.00 Error: $117.88 SLE: 0.20 Item: HP Z640 Tower Server - Intel Xeon E5-264...\u001b[0m\n", + "\u001b[91m134: Guess: $26.17 Truth: $849.00 Error: $822.83 SLE: 11.86 Item: Hanover HANGRNHSP8X6-GRN 8 x 6-Ft. Polyc...\u001b[0m\n", + "\u001b[91m135: Guess: $200.59 Truth: $420.27 Error: $219.68 SLE: 0.54 Item: Movie Masterpiece : Iron Man 3 Iron Man ...\u001b[0m\n", + "\u001b[91m136: Guess: $0.00 Truth: $576.95 Error: $576.95 SLE: 40.44 Item: Thumpr NSR Cam for '09+ Dodge 5.7/6.4L H...\u001b[0m\n", + "\u001b[91m137: Guess: $586.83 Truth: $355.65 Error: $231.18 SLE: 0.25 Item: Office Accents 72\"W x 40\"H Rolling Rever...\u001b[0m\n", + "\u001b[91m138: Guess: $0.00 Truth: $371.99 Error: $371.99 SLE: 35.06 Item: Raptor Series Running Boards Steps 5in O...\u001b[0m\n", + "\u001b[91m139: Guess: $476.89 Truth: $669.99 Error: $193.10 SLE: 0.12 Item: Micro Center Intel Core i7-13700K Deskto...\u001b[0m\n", + "\u001b[92m140: Guess: $133.17 Truth: $138.00 Error: $4.83 SLE: 0.00 Item: 3-5 Birthstones Family Mothers Ring 10k ...\u001b[0m\n", + "\u001b[91m141: Guess: $716.24 Truth: $197.98 Error: $518.26 SLE: 1.64 Item: Standing Desk Walking Pad Treadmill with...\u001b[0m\n", + "\u001b[91m142: Guess: $894.01 Truth: $869.99 Error: $24.02 SLE: 0.00 Item: Greatime Storage Bed, Eastern King Size ...\u001b[0m\n", + "\u001b[91m143: Guess: $294.44 Truth: $4.29 Error: $290.15 SLE: 16.18 Item: PrimeMed Self-Adhesive Skived Dancer Pad...\u001b[0m\n", + "\u001b[91m144: Guess: $531.90 Truth: $638.62 Error: $106.72 SLE: 0.03 Item: YITHOPI 2-Seater Sofa Brown Real Goat Le...\u001b[0m\n", + "\u001b[91m145: Guess: $949.54 Truth: $362.75 Error: $586.79 SLE: 0.92 Item: East West Furniture Antique 5 Piece Dini...\u001b[0m\n", + "\u001b[91m146: Guess: $256.67 Truth: $174.20 Error: $82.47 SLE: 0.15 Item: Mean Well SE-1000-48 AC/DC Power Supply,...\u001b[0m\n", + "\u001b[91m147: Guess: $39.32 Truth: $262.99 Error: $223.67 SLE: 3.53 Item: Coaster Furniture Twin Blue Marjorie Met...\u001b[0m\n", + "\u001b[91m148: Guess: $869.77 Truth: $72.59 Error: $797.18 SLE: 6.11 Item: A-Tech 8GB KIT (2 x 4GB) for HP Compaq G...\u001b[0m\n", + "\u001b[91m149: Guess: $0.00 Truth: $449.99 Error: $449.99 SLE: 37.35 Item: AEM (21-8200DC) Brute Force Air Intake S...\u001b[0m\n", + "\u001b[91m150: Guess: $679.86 Truth: $699.99 Error: $20.13 SLE: 0.00 Item: Gold Tone CC-100R Cripple Creek Banjo wi...\u001b[0m\n", + "\u001b[91m151: Guess: $260.45 Truth: $27.99 Error: $232.46 SLE: 4.84 Item: Cestus Brutus HD, Level A7 Cut Resistant...\u001b[0m\n", + "\u001b[91m152: Guess: $0.00 Truth: $72.99 Error: $72.99 SLE: 18.52 Item: Ecomerr Electric Meat Slicer for Home Us...\u001b[0m\n", + "\u001b[91m153: Guess: $2,188.97 Truth: $206.69 Error: $1,982.28 SLE: 5.55 Item: LEDMyplace 22W 4ft T8 LED Tube/Bulb, 308...\u001b[0m\n", + "\u001b[91m154: Guess: $422.60 Truth: $303.00 Error: $119.60 SLE: 0.11 Item: Innovative Marine Aquarium Stands APS (A...\u001b[0m\n", + "\u001b[91m155: Guess: $601.51 Truth: $419.98 Error: $181.53 SLE: 0.13 Item: 33 Farmhouse Kitchen Sink - Enbol 33x21 ...\u001b[0m\n", + "\u001b[91m156: Guess: $0.00 Truth: $152.50 Error: $152.50 SLE: 25.34 Item: 14 Pcs Complete Front Suspension Control...\u001b[0m\n", + "\u001b[91m157: Guess: $0.00 Truth: $217.71 Error: $217.71 SLE: 29.03 Item: Sauder Shoal Creek Display Cabinet, Indi...\u001b[0m\n", + "\u001b[91m158: Guess: $14.48 Truth: $34.95 Error: $20.47 SLE: 0.71 Item: SlickMod Chrome Delete Blackout Vinyl Ov...\u001b[0m\n", + "\u001b[91m159: Guess: $837.33 Truth: $619.98 Error: $217.35 SLE: 0.09 Item: ZGNBSD Makeup Vanity - Vanity Desk with ...\u001b[0m\n", + "\u001b[91m160: Guess: $317.08 Truth: $65.00 Error: $252.08 SLE: 2.47 Item: Brixton Women's Joanna Straw Sun Hat\u001b[0m\n", + "\u001b[91m161: Guess: $0.00 Truth: $301.00 Error: $301.00 SLE: 32.61 Item: Savio Livingponds 4000 GPH Pressure Filt...\u001b[0m\n", + "\u001b[91m162: Guess: $0.00 Truth: $246.90 Error: $246.90 SLE: 30.39 Item: Yealink BH72 Bluetooth Headset Wireless ...\u001b[0m\n", + "\u001b[91m163: Guess: $665.39 Truth: $599.99 Error: $65.40 SLE: 0.01 Item: Mighty Mule MM372W Automatic Gate Opener...\u001b[0m\n", + "\u001b[91m164: Guess: $150.28 Truth: $177.99 Error: $27.71 SLE: 0.03 Item: Wilson Electronics Single Antenna Expans...\u001b[0m\n", + "\u001b[91m165: Guess: $0.00 Truth: $799.00 Error: $799.00 SLE: 44.68 Item: Electric Scooter 1000W/600W/500W, 28-34M...\u001b[0m\n", + "\u001b[91m166: Guess: $82.76 Truth: $141.46 Error: $58.70 SLE: 0.28 Item: Lion Steel SR22 Framelock Black Satin LS...\u001b[0m\n", + "\u001b[91m167: Guess: $65.12 Truth: $151.39 Error: $86.27 SLE: 0.70 Item: Safariland 6004 Black Sig P225, P228, P2...\u001b[0m\n", + "\u001b[91m168: Guess: $485.57 Truth: $383.99 Error: $101.58 SLE: 0.05 Item: Power Stop K2260 Front and Rear Z23 Carb...\u001b[0m\n", + "\u001b[91m169: Guess: $917.36 Truth: $330.99 Error: $586.37 SLE: 1.04 Item: Stetson Women's Dakota Western Boot\u001b[0m\n", + "\u001b[91m170: Guess: $156.49 Truth: $16.95 Error: $139.54 SLE: 4.72 Item: South Horizon GO Away T-Shirt\u001b[0m\n", + "\u001b[91m171: Guess: $518.15 Truth: $14.10 Error: $504.05 SLE: 12.51 Item: FIFA Men's Standard WWC France 2019 Wome...\u001b[0m\n", + "\u001b[91m172: Guess: $182.48 Truth: $94.39 Error: $88.09 SLE: 0.43 Item: Wera BC BR 30 Universal Bit Ratchet (Zyk...\u001b[0m\n", + "\u001b[91m173: Guess: $346.17 Truth: $429.99 Error: $83.82 SLE: 0.05 Item: Traxxas Rustler 4x4 VXL, Brushless RC Tr...\u001b[0m\n", + "\u001b[91m174: Guess: $450.90 Truth: $705.00 Error: $254.10 SLE: 0.20 Item: Early 2016 Apple MacBook with 1,2 GHz In...\u001b[0m\n", + "\u001b[91m175: Guess: $0.00 Truth: $199.00 Error: $199.00 SLE: 28.07 Item: Douchebags The Carryall 65l\u001b[0m\n", + "\u001b[91m176: Guess: $205.19 Truth: $314.95 Error: $109.76 SLE: 0.18 Item: MARTHA STEWART Living and Learning Kids'...\u001b[0m\n", + "\u001b[91m177: Guess: $785.76 Truth: $181.65 Error: $604.11 SLE: 2.13 Item: ClearStream 4V Indoor/Outdoor HDTV Anten...\u001b[0m\n", + "\u001b[91m178: Guess: $6.29 Truth: $341.70 Error: $335.41 SLE: 14.82 Item: Callahan Front 324mm and Rear 330mm Dril...\u001b[0m\n", + "\u001b[91m179: Guess: $474.01 Truth: $306.93 Error: $167.08 SLE: 0.19 Item: Innovative Mounts 50110 Traction Bar Kit...\u001b[0m\n", + "\u001b[91m180: Guess: $3.12 Truth: $54.99 Error: $51.87 SLE: 6.81 Item: Nikon FM3A Case, BolinUS Handmade Genuin...\u001b[0m\n", + "\u001b[91m181: Guess: $79.30 Truth: $124.90 Error: $45.60 SLE: 0.20 Item: Las Vegas \"Fabulous Las Vegas\" Padded Sw...\u001b[0m\n", + "\u001b[91m182: Guess: $0.00 Truth: $165.61 Error: $165.61 SLE: 26.17 Item: D-arts Rokusho (12 cm PVC figure) Bandai...\u001b[0m\n", + "\u001b[91m183: Guess: $69.07 Truth: $331.00 Error: $261.93 SLE: 2.42 Item: Crossrock Lightweight Case for 4/4 Full ...\u001b[0m\n", + "\u001b[91m184: Guess: $1,017.51 Truth: $315.00 Error: $702.51 SLE: 1.37 Item: Genuine Mercedes-Benz Lower Cover 204-91...\u001b[0m\n", + "\u001b[91m185: Guess: $214.52 Truth: $73.50 Error: $141.02 SLE: 1.13 Item: Chi Mei N133bge-l31 Replacement LAPTOP L...\u001b[0m\n", + "\u001b[91m186: Guess: $714.80 Truth: $649.00 Error: $65.80 SLE: 0.01 Item: New Mustang Motorcycle Seat - 2002-2008 ...\u001b[0m\n", + "\u001b[91m187: Guess: $550.81 Truth: $590.00 Error: $39.19 SLE: 0.00 Item: Bric's LIFE 22-Inch Cargo Duffle Bag - L...\u001b[0m\n", + "\u001b[91m188: Guess: $208.47 Truth: $599.99 Error: $391.52 SLE: 1.11 Item: Casa AndreaMilano 3 Piece Microfiber and...\u001b[0m\n", + "\u001b[91m189: Guess: $29.17 Truth: $228.22 Error: $199.05 SLE: 4.11 Item: Mountain Plumbing MT1800-NL/PVDBRN Littl...\u001b[0m\n", + "\u001b[91m190: Guess: $66.59 Truth: $194.95 Error: $128.36 SLE: 1.13 Item: Durango Women's Austin 3 in 1\u001b[0m\n", + "\u001b[91m191: Guess: $0.00 Truth: $329.00 Error: $329.00 SLE: 33.63 Item: QNAP TR-004U 1U 4 Bay Hard Drive Enclosu...\u001b[0m\n", + "\u001b[91m192: Guess: $0.00 Truth: $22.49 Error: $22.49 SLE: 9.96 Item: Gamakatsu 25 Pack EWG Offset Worm Hook\u001b[0m\n", + "\u001b[91m193: Guess: $285.64 Truth: $49.99 Error: $235.65 SLE: 2.98 Item: Benchmark Abrasives 7\" x 7/8\" Premium Hi...\u001b[0m\n", + "\u001b[91m194: Guess: $0.00 Truth: $175.64 Error: $175.64 SLE: 26.77 Item: Delphi HP10017 Fuel Pump and Hanger Asse...\u001b[0m\n", + "\u001b[91m195: Guess: $0.00 Truth: $114.95 Error: $114.95 SLE: 22.59 Item: YaeMarine 2 Steps Boat Out-Board Swim La...\u001b[0m\n", + "\u001b[91m196: Guess: $658.26 Truth: $800.00 Error: $141.74 SLE: 0.04 Item: Karman Healthcare S-2501F16SS-TP Ergonom...\u001b[0m\n", + "\u001b[91m197: Guess: $567.64 Truth: $236.27 Error: $331.37 SLE: 0.76 Item: Bme Dinkee 15 Inch Signature Bed Frame W...\u001b[0m\n", + "\u001b[91m198: Guess: $0.00 Truth: $449.99 Error: $449.99 SLE: 37.35 Item: Leupold DeltaPoint Pro Reflex Sight\u001b[0m\n", + "\u001b[91m199: Guess: $408.95 Truth: $839.00 Error: $430.05 SLE: 0.51 Item: Angara Natural Blue Sapphire Heart Penda...\u001b[0m\n", + "\u001b[91m200: Guess: $0.00 Truth: $202.50 Error: $202.50 SLE: 28.26 Item: Outlaw Cues Pool Cue with Black Bumper W...\u001b[0m\n", + "\u001b[91m201: Guess: $25.56 Truth: $532.00 Error: $506.44 SLE: 8.99 Item: Rev9 R9-HS2-089 Hyper-Street II Coilover...\u001b[0m\n", + "\u001b[91m202: Guess: $483.03 Truth: $257.98 Error: $225.05 SLE: 0.39 Item: Teraflex Dana 44 HD Differential Cover C...\u001b[0m\n", + "\u001b[91m203: Guess: $151.35 Truth: $451.69 Error: $300.34 SLE: 1.19 Item: Beverage Air 502-431D-03 Control - Dixel\u001b[0m\n", + "\u001b[91m204: Guess: $462.05 Truth: $407.79 Error: $54.26 SLE: 0.02 Item: Dayton 1XJX7 Blower, Degrees_Fahrenheit,...\u001b[0m\n", + "\u001b[91m205: Guess: $240.68 Truth: $418.34 Error: $177.66 SLE: 0.30 Item: Turning Point 31501730 Express Stainless...\u001b[0m\n", + "\u001b[91m206: Guess: $518.50 Truth: $334.95 Error: $183.55 SLE: 0.19 Item: Zildjian K Custom Hybrid Crash Cymbal - ...\u001b[0m\n", + "\u001b[91m207: Guess: $587.15 Truth: $119.99 Error: $467.16 SLE: 2.50 Item: Canon PowerShot SX150 IS 14.1 MP Digital...\u001b[0m\n", + "\u001b[91m208: Guess: $255.33 Truth: $444.00 Error: $188.67 SLE: 0.30 Item: 26” Ukulele Black w/Freeboost Electronic...\u001b[0m\n", + "\u001b[91m209: Guess: $0.00 Truth: $260.99 Error: $260.99 SLE: 31.01 Item: Nuheat F1506 Under Floor Heating Mat 120...\u001b[0m\n", + "\u001b[91m210: Guess: $336.57 Truth: $235.99 Error: $100.58 SLE: 0.13 Item: Tangkula Wicker Rocking Chair, Outdoor G...\u001b[0m\n", + "\u001b[91m211: Guess: $251.56 Truth: $539.99 Error: $288.43 SLE: 0.58 Item: DreamLine Visions 56-60 in. W x 58 in. H...\u001b[0m\n", + "\u001b[91m212: Guess: $142.78 Truth: $86.02 Error: $56.76 SLE: 0.25 Item: Lenox RX+ Vari-Raker Band Saw Blade, Bim...\u001b[0m\n", + "\u001b[91m213: Guess: $550.99 Truth: $399.90 Error: $151.09 SLE: 0.10 Item: Compatible with 2002 2003 2004 2005 2006...\u001b[0m\n", + "\u001b[91m214: Guess: $110.76 Truth: $320.00 Error: $209.24 SLE: 1.11 Item: Volcom ELM Stretch Gore Bib Overall\u001b[0m\n", + "\u001b[91m215: Guess: $251.47 Truth: $162.95 Error: $88.52 SLE: 0.19 Item: 5KCP39FGY563S - GE Replacement Condenser...\u001b[0m\n", + "\u001b[91m216: Guess: $194.56 Truth: $4.99 Error: $189.57 SLE: 12.15 Item: BYB Jewelry Pair of 2 Dangling Skull Fak...\u001b[0m\n", + "\u001b[91m217: Guess: $234.70 Truth: $200.54 Error: $34.16 SLE: 0.02 Item: Dell Optiplex 990 Desktop Computer - Int...\u001b[0m\n", + "\u001b[91m218: Guess: $797.31 Truth: $183.41 Error: $613.90 SLE: 2.15 Item: AEM 21-832C Cold Air Intake System\u001b[0m\n", + "\u001b[92m219: Guess: $652.70 Truth: $655.62 Error: $2.92 SLE: 0.00 Item: Erica Synths Drum Sequencer Eurorack Mod...\u001b[0m\n", + "\u001b[92m220: Guess: $604.42 Truth: $596.74 Error: $7.68 SLE: 0.00 Item: Winholt WHSS-1 Table Model Film Wrappers...\u001b[0m\n", + "\u001b[91m221: Guess: $96.00 Truth: $177.64 Error: $81.64 SLE: 0.37 Item: Dooney & Bourke Ostrich Continental Clut...\u001b[0m\n", + "\u001b[91m222: Guess: $0.00 Truth: $343.99 Error: $343.99 SLE: 34.15 Item: Power Stop CRK6958 Coated Brake Rotor an...\u001b[0m\n", + "\u001b[91m223: Guess: $0.00 Truth: $541.09 Error: $541.09 SLE: 39.63 Item: KOHLER K-8459-0 Rely Single-Threshold Sh...\u001b[0m\n", + "\u001b[91m224: Guess: $707.70 Truth: $499.99 Error: $207.71 SLE: 0.12 Item: MANTELSDIRECT Titus Metal Stainless Stee...\u001b[0m\n", + "\u001b[91m225: Guess: $984.65 Truth: $235.00 Error: $749.65 SLE: 2.04 Item: Body-Solid Powerline PPA13X PEC Attachme...\u001b[0m\n", + "\u001b[91m226: Guess: $0.00 Truth: $244.99 Error: $244.99 SLE: 30.31 Item: Lifetime 480074 Contemporary Folding Cha...\u001b[0m\n", + "\u001b[91m227: Guess: $529.98 Truth: $173.25 Error: $356.73 SLE: 1.24 Item: Fowler 54-860-211 Electronic IP54 Ball-A...\u001b[0m\n", + "\u001b[91m228: Guess: $0.00 Truth: $314.00 Error: $314.00 SLE: 33.09 Item: Spyder Auto 5079985 LED Tail Lights Blac...\u001b[0m\n", + "\u001b[91m229: Guess: $334.21 Truth: $468.48 Error: $134.27 SLE: 0.11 Item: Wiseco WK1313 84.50 mm 2-Stroke Watercra...\u001b[0m\n", + "\u001b[91m230: Guess: $1,217.35 Truth: $928.47 Error: $288.88 SLE: 0.07 Item: Moen 900-002 Flo by Moen 1-1/4-Inch Smar...\u001b[0m\n", + "\u001b[91m231: Guess: $535.95 Truth: $427.49 Error: $108.46 SLE: 0.05 Item: Christopher Knight Home Panama Outdoor A...\u001b[0m\n", + "\u001b[93m232: Guess: $19.26 Truth: $33.99 Error: $14.73 SLE: 0.30 Item: Cranium Brain Breaks Game\u001b[0m\n", + "\u001b[93m233: Guess: $379.24 Truth: $365.00 Error: $14.24 SLE: 0.00 Item: Top Case - Aluminum Top Case - BMW/KTM/Y...\u001b[0m\n", + "\u001b[91m234: Guess: $48.61 Truth: $88.00 Error: $39.39 SLE: 0.34 Item: 58x84\" Rectangular Versailles Blue Cotto...\u001b[0m\n", + "\u001b[91m235: Guess: $606.49 Truth: $440.00 Error: $166.49 SLE: 0.10 Item: Dell i3552-3240BLK 15.6\" HD Laptop (Inte...\u001b[0m\n", + "\u001b[91m236: Guess: $0.00 Truth: $468.00 Error: $468.00 SLE: 37.83 Item: Meyda Tiffany 21211 Moravian Star Pendan...\u001b[0m\n", + "\u001b[91m237: Guess: $169.55 Truth: $21.99 Error: $147.56 SLE: 4.02 Item: Cycling Jersey Men Bike Tops Bicycle Jer...\u001b[0m\n", + "\u001b[91m238: Guess: $19.39 Truth: $719.00 Error: $699.61 SLE: 12.71 Item: Godox VL300 300w New LED Lights,5600K Da...\u001b[0m\n", + "\u001b[91m239: Guess: $188.99 Truth: $230.02 Error: $41.03 SLE: 0.04 Item: La Sportiva Ultra Raptor Mountain Runnin...\u001b[0m\n", + "\u001b[91m240: Guess: $685.44 Truth: $35.85 Error: $649.59 SLE: 8.55 Item: UpBright 2-Prong 29V AC/DC Adapter Compa...\u001b[0m\n", + "\u001b[91m241: Guess: $294.28 Truth: $254.25 Error: $40.03 SLE: 0.02 Item: Ross-Simons Sterling Silver and 14kt Yel...\u001b[0m\n", + "\u001b[91m242: Guess: $0.00 Truth: $96.03 Error: $96.03 SLE: 20.93 Item: RAREELECTRICAL NEW RIGHT TAIL LIGHT COMP...\u001b[0m\n", + "\u001b[91m243: Guess: $113.00 Truth: $789.99 Error: $676.99 SLE: 3.75 Item: Stetsom EX 10500 EQ 2 Ohm Mono Car Audio...\u001b[0m\n", + "\u001b[91m244: Guess: $70.92 Truth: $234.00 Error: $163.08 SLE: 1.40 Item: Microsoft Surface Pro 4 128 GB, 4 GB RAM...\u001b[0m\n", + "\u001b[91m245: Guess: $336.95 Truth: $183.60 Error: $153.35 SLE: 0.37 Item: POOL CHLORINE GRAN 25#\u001b[0m\n", + "\u001b[91m246: Guess: $505.16 Truth: $198.49 Error: $306.67 SLE: 0.87 Item: Disposable Plastic Party Package, Elegan...\u001b[0m\n", + "\u001b[91m247: Guess: $378.63 Truth: $49.95 Error: $328.68 SLE: 4.03 Item: ViewMaster 3 Reel Set HORSES - 21 3D Pic...\u001b[0m\n", + "\u001b[92m248: Guess: $48.04 Truth: $40.76 Error: $7.28 SLE: 0.03 Item: Aquacel Foam Dressing by Convatec ( Dres...\u001b[0m\n", + "\u001b[91m249: Guess: $0.00 Truth: $312.03 Error: $312.03 SLE: 33.02 Item: FONTOI Futon Sofa Bed Memory Foam Couch ...\u001b[0m\n", + "\u001b[91m250: Guess: $541.89 Truth: $584.87 Error: $42.98 SLE: 0.01 Item: Blue Ox BX1124 Base Plate for Jeep Wrang...\u001b[0m\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "runner1 = TestRunner(linear_regression_predictor, test, \"Linear Regression\").run()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a70d16ce-bdf1-4071-8c5a-5bddc2aa37e4", + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.feature_extraction.text import TfidfVectorizer\n", + "from sklearn.svm import SVR\n", + "\n", + "np.random.seed(42)\n", + "\n", + "labels = np.array([float(item.price) for item in train])\n", + "\n", + "vectorizer = TfidfVectorizer(max_features=20)\n", + "X = vectorizer.fit_transform(documents)\n", + "\n", + "regressor = SVR(kernel='linear')\n", + "regressor.fit(X, labels)" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "id": "64560112-3bfb-45cc-b489-de619a2eca20", + "metadata": {}, + "outputs": [], + "source": [ + "def svr_predictor(item):\n", + " np.random.seed(42)\n", + " x = vectorizer.transform([words(item)])\n", + " return max(regressor.predict(x)[0], 0)" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "id": "392598d4-2deb-4935-9175-fd111616b13c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[91m1: Guess: $206.74 Truth: $731.40 Error: $524.66 SLE: 1.59 Item: Bobkona Sectional Sofa Set Coffee\u001b[0m\n", + "\u001b[91m2: Guess: $213.31 Truth: $269.99 Error: $56.68 SLE: 0.06 Item: MAT EXPERT Kitchen Pantry Cupboard Cabin...\u001b[0m\n", + "\u001b[91m3: Guess: $323.53 Truth: $841.80 Error: $518.27 SLE: 0.91 Item: 2022 Flagship HP Pavilion 15.6\" FHD 1080...\u001b[0m\n", + "\u001b[91m4: Guess: $236.38 Truth: $300.73 Error: $64.35 SLE: 0.06 Item: Five Ten Adidas Hiangle Pro Competition ...\u001b[0m\n", + "\u001b[91m5: Guess: $187.86 Truth: $80.95 Error: $106.91 SLE: 0.70 Item: WOG: New York 1776, the New York Campaig...\u001b[0m\n", + "\u001b[91m6: Guess: $127.10 Truth: $734.43 Error: $607.33 SLE: 3.05 Item: P3 POMPEII3 1 1/10ct Diamond Engagement ...\u001b[0m\n", + "\u001b[91m7: Guess: $203.43 Truth: $77.99 Error: $125.44 SLE: 0.90 Item: NOVICA Purple Hand Painted Alebrije Wood...\u001b[0m\n", + "\u001b[91m8: Guess: $190.88 Truth: $399.00 Error: $208.12 SLE: 0.54 Item: ddrum DD Beta XP Electronic Drum Kit\u001b[0m\n", + "\u001b[91m9: Guess: $257.89 Truth: $592.24 Error: $334.35 SLE: 0.69 Item: Lund Hard Tri-Fold Hard Folding Truck Be...\u001b[0m\n", + "\u001b[92m10: Guess: $271.34 Truth: $279.99 Error: $8.65 SLE: 0.00 Item: NUWATT 4 Pack, 2x4 FT LED Ceiling Panel,...\u001b[0m\n", + "\u001b[91m11: Guess: $297.12 Truth: $219.99 Error: $77.13 SLE: 0.09 Item: 1.5'' Big Dude 10'' Height Handlebars fo...\u001b[0m\n", + "\u001b[91m12: Guess: $230.61 Truth: $835.99 Error: $605.38 SLE: 1.65 Item: Seismic Audio Speakers Magnitude 3600 2 ...\u001b[0m\n", + "\u001b[91m13: Guess: $248.15 Truth: $196.99 Error: $51.16 SLE: 0.05 Item: Firepro V5800 1GB Pcie Giftbox\u001b[0m\n", + "\u001b[91m14: Guess: $213.29 Truth: $265.33 Error: $52.04 SLE: 0.05 Item: doTERRA - Deep Blue Rub - 32 oz\u001b[0m\n", + "\u001b[91m15: Guess: $282.41 Truth: $356.50 Error: $74.09 SLE: 0.05 Item: JACKPUCK press 2 ton - Small Round Mould\u001b[0m\n", + "\u001b[91m16: Guess: $212.75 Truth: $180.60 Error: $32.15 SLE: 0.03 Item: OASE Indoor Aquatics OptiMax 1420\u001b[0m\n", + "\u001b[91m17: Guess: $271.62 Truth: $363.56 Error: $91.94 SLE: 0.08 Item: AKRacing Core Ex-Wide SE Sedia da Gioco,...\u001b[0m\n", + "\u001b[91m18: Guess: $228.63 Truth: $284.99 Error: $56.36 SLE: 0.05 Item: Devoko Patio Furniture Set 5 Pieces Pati...\u001b[0m\n", + "\u001b[91m19: Guess: $209.75 Truth: $244.12 Error: $34.37 SLE: 0.02 Item: WarmlyYours TRT120-KIT-OT-1.5x06 TempZon...\u001b[0m\n", + "\u001b[91m20: Guess: $205.44 Truth: $946.25 Error: $740.81 SLE: 2.32 Item: JDBands 14K Yellow Solid Gold Hand Braid...\u001b[0m\n", + "\u001b[91m21: Guess: $182.39 Truth: $39.99 Error: $142.40 SLE: 2.24 Item: SmallRig Field Monitor Mount with NATO C...\u001b[0m\n", + "\u001b[91m22: Guess: $227.19 Truth: $204.14 Error: $23.05 SLE: 0.01 Item: DWK \"American Bison\" Wall Mounted Faux B...\u001b[0m\n", + "\u001b[91m23: Guess: $269.27 Truth: $339.00 Error: $69.73 SLE: 0.05 Item: Echomaster FCTP-DR1304 Blind Spot Camera...\u001b[0m\n", + "\u001b[91m24: Guess: $175.08 Truth: $72.49 Error: $102.59 SLE: 0.76 Item: Stanley Proto J48005LS2 Long Drive Pin P...\u001b[0m\n", + "\u001b[91m25: Guess: $187.92 Truth: $1.69 Error: $186.23 SLE: 18.08 Item: Chrome Nail Powder Metallic Mirror Effec...\u001b[0m\n", + "\u001b[91m26: Guess: $164.02 Truth: $289.95 Error: $125.93 SLE: 0.32 Item: Kohler 24-025-57-S Lawn & Garden Equipme...\u001b[0m\n", + "\u001b[91m27: Guess: $323.53 Truth: $649.00 Error: $325.47 SLE: 0.48 Item: Lenovo 2021 Ideapad 3 Premium Laptop I 1...\u001b[0m\n", + "\u001b[91m28: Guess: $309.34 Truth: $107.35 Error: $201.99 SLE: 1.11 Item: CRUX DKGM-49 Replacement Radio and Dash ...\u001b[0m\n", + "\u001b[91m29: Guess: $186.95 Truth: $126.30 Error: $60.65 SLE: 0.15 Item: G-Technology G-DRIVE mobile USB Portable...\u001b[0m\n", + "\u001b[91m30: Guess: $194.95 Truth: $165.50 Error: $29.45 SLE: 0.03 Item: FPV Drone with HD Camera for Adults, 5In...\u001b[0m\n", + "\u001b[91m31: Guess: $271.53 Truth: $178.43 Error: $93.10 SLE: 0.17 Item: Rough Country High Steer Correction for ...\u001b[0m\n", + "\u001b[91m32: Guess: $237.67 Truth: $28.99 Error: $208.68 SLE: 4.30 Item: LaDoVita 3 Pack Ceramic Plant Pots 6/5/4...\u001b[0m\n", + "\u001b[92m33: Guess: $249.63 Truth: $245.95 Error: $3.68 SLE: 0.00 Item: InFocus SP-Lamp-015 Replacement Lamp for...\u001b[0m\n", + "\u001b[91m34: Guess: $208.36 Truth: $380.25 Error: $171.89 SLE: 0.36 Item: Pokemon - 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Fixed Installation Kit\u001b[0m\n", + "\u001b[91m65: Guess: $205.44 Truth: $69.00 Error: $136.44 SLE: 1.17 Item: Natori Women's Yogi Contour Convertible ...\u001b[0m\n", + "\u001b[91m66: Guess: $252.10 Truth: $322.00 Error: $69.90 SLE: 0.06 Item: Oriental Furniture 6 ft. Tall Bamboo Wav...\u001b[0m\n", + "\u001b[91m67: Guess: $251.16 Truth: $309.00 Error: $57.84 SLE: 0.04 Item: Corral Boots C3730\u001b[0m\n", + "\u001b[91m68: Guess: $236.91 Truth: $549.99 Error: $313.08 SLE: 0.71 Item: Frigidaire Home Comfort White 10,000 BTU...\u001b[0m\n", + "\u001b[91m69: Guess: $252.03 Truth: $76.05 Error: $175.98 SLE: 1.41 Item: Pillow Perfect Outdoor/Indoor in The Fra...\u001b[0m\n", + "\u001b[91m70: Guess: $230.56 Truth: $268.26 Error: $37.70 SLE: 0.02 Item: Evan Fischer Catalytic Converter 46-Stat...\u001b[0m\n", + "\u001b[91m71: Guess: $248.45 Truth: $567.19 Error: $318.74 SLE: 0.68 Item: Moen UT3693EPBN Voss Collection M-CORE 3...\u001b[0m\n", + "\u001b[91m72: Guess: $245.42 Truth: $287.30 Error: $41.88 SLE: 0.02 Item: American Standard 7353841.002 Townsend 8...\u001b[0m\n", + "\u001b[91m73: Guess: $189.49 Truth: $75.00 Error: $114.49 SLE: 0.84 Item: Elaine Coyne Wearable Art Verdigris Pati...\u001b[0m\n", + "\u001b[93m74: Guess: $283.42 Truth: $302.40 Error: $18.98 SLE: 0.00 Item: Home Square 4 Drawer Chest and 2 Drawer ...\u001b[0m\n", + "\u001b[91m75: Guess: $215.30 Truth: $84.99 Error: $130.31 SLE: 0.85 Item: Rite Farm Products L10 Processing KIT Dr...\u001b[0m\n", + "\u001b[91m76: Guess: $196.89 Truth: $95.00 Error: $101.89 SLE: 0.52 Item: Cartier Declaration Essence Eau de Toile...\u001b[0m\n", + "\u001b[91m77: Guess: $282.27 Truth: $242.64 Error: $39.63 SLE: 0.02 Item: Fit System Passenger Side Mirror for GMC...\u001b[0m\n", + "\u001b[91m78: Guess: $253.19 Truth: $619.15 Error: $365.96 SLE: 0.80 Item: B&K Precision 8540 Compact DC Electronic...\u001b[0m\n", + "\u001b[91m79: Guess: $221.80 Truth: $290.00 Error: $68.20 SLE: 0.07 Item: NEC Desktop E203WI-BK 20\" Screen LCD Mon...\u001b[0m\n", + "\u001b[91m80: Guess: $125.44 Truth: $512.81 Error: $387.37 SLE: 1.97 Item: 1.49ct Round Cut Halo Pave Solitaire Spl...\u001b[0m\n", + "\u001b[91m81: Guess: $293.59 Truth: $256.70 Error: $36.89 SLE: 0.02 Item: AUTOSAVER88 Complete Struts Compatible w...\u001b[0m\n", + "\u001b[91m82: Guess: $203.81 Truth: $247.37 Error: $43.56 SLE: 0.04 Item: BJE 007600 Black Knight 99\" Liquid Level...\u001b[0m\n", + "\u001b[91m83: Guess: $264.77 Truth: $432.00 Error: $167.23 SLE: 0.24 Item: Logitech ConferenceCam Connect All-in-On...\u001b[0m\n", + "\u001b[91m84: Guess: $243.42 Truth: $902.60 Error: $659.18 SLE: 1.71 Item: Feiss F3932/12WOAF Avenir Industrial Far...\u001b[0m\n", + "\u001b[91m85: Guess: $278.01 Truth: $374.99 Error: $96.98 SLE: 0.09 Item: Spectre Performance 765 Low Profile Dual...\u001b[0m\n", + "\u001b[91m86: Guess: $199.93 Truth: $154.28 Error: $45.65 SLE: 0.07 Item: Moen 3838CP Four-Function Shower Head, C...\u001b[0m\n", + "\u001b[91m87: Guess: $250.53 Truth: $229.95 Error: $20.58 SLE: 0.01 Item: Bosch Dishwasher Heat Pump 669135 006691...\u001b[0m\n", + "\u001b[91m88: Guess: $256.57 Truth: $815.88 Error: $559.31 SLE: 1.33 Item: Buyers Products 1705440 XD Smooth Alumin...\u001b[0m\n", + "\u001b[91m89: Guess: $346.08 Truth: $312.94 Error: $33.14 SLE: 0.01 Item: Nitto Trail Grappler M/T All-Terrain Tir...\u001b[0m\n", + "\u001b[91m90: Guess: $271.65 Truth: $349.49 Error: $77.84 SLE: 0.06 Item: Linea di Liara Caserti Mid Century Moder...\u001b[0m\n", + "\u001b[91m91: Guess: $218.95 Truth: $379.00 Error: $160.05 SLE: 0.30 Item: Polaris Ranger 900xp Front Bumper (2013-...\u001b[0m\n", + "\u001b[91m92: Guess: $189.49 Truth: $234.80 Error: $45.31 SLE: 0.05 Item: Bulova Frank Lloyd Wright 'December Gift...\u001b[0m\n", + "\u001b[91m93: Guess: $257.09 Truth: $319.00 Error: $61.91 SLE: 0.05 Item: 12\" White Round Plastic Post Top Globe -...\u001b[0m\n", + "\u001b[91m94: Guess: $247.23 Truth: $498.00 Error: $250.77 SLE: 0.49 Item: Teac HA-P90SD-B Portable Hi-Resolution D...\u001b[0m\n", + "\u001b[91m95: Guess: $242.28 Truth: $216.19 Error: $26.09 SLE: 0.01 Item: Dometic DI-GH120M Maroon interVac Garage...\u001b[0m\n", + "\u001b[91m96: Guess: $207.72 Truth: $45.99 Error: $161.73 SLE: 2.22 Item: 1500 Pieces Bamboo Jigsaw Puzzle Board T...\u001b[0m\n", + "\u001b[91m97: Guess: $240.16 Truth: $260.91 Error: $20.75 SLE: 0.01 Item: Fanimation Embrace Indoor Ceiling Fan wi...\u001b[0m\n", + "\u001b[91m98: Guess: $248.12 Truth: $125.99 Error: $122.13 SLE: 0.45 Item: TCL 20 SE 6.82\" Unlocked Cellphone, 4GB ...\u001b[0m\n", + "\u001b[91m99: Guess: $222.57 Truth: $279.99 Error: $57.42 SLE: 0.05 Item: BOUNTECH Inflatable Water Slide for Kids...\u001b[0m\n", + "\u001b[91m100: Guess: $273.96 Truth: $75.81 Error: $198.15 SLE: 1.63 Item: ACME Silhouette Twin HB/FB Only - 02054W...\u001b[0m\n", + "\u001b[91m101: Guess: $226.94 Truth: $248.37 Error: $21.43 SLE: 0.01 Item: Radiator - Pacific Best Inc. Compatible/...\u001b[0m\n", + "\u001b[91m102: Guess: $235.06 Truth: $36.90 Error: $198.16 SLE: 3.35 Item: Deus Board Game\u001b[0m\n", + "\u001b[91m103: Guess: $185.00 Truth: $54.50 Error: $130.50 SLE: 1.46 Item: Colorado Angler Supply KB Tool Kit\u001b[0m\n", + "\u001b[91m104: Guess: $198.52 Truth: $48.00 Error: $150.52 SLE: 1.97 Item: Nantucket Home Gift for A Fireman – 15 I...\u001b[0m\n", + "\u001b[91m105: Guess: $178.06 Truth: $241.15 Error: $63.09 SLE: 0.09 Item: Invicta INVICTA-9937 Men's Pro Diver Col...\u001b[0m\n", + "\u001b[91m106: Guess: $192.38 Truth: $249.00 Error: $56.62 SLE: 0.07 Item: Fast88 Electric Desk Elliptical Machine ...\u001b[0m\n", + "\u001b[91m107: Guess: $218.08 Truth: $569.00 Error: $350.92 SLE: 0.91 Item: Ultrak L10 Series Timer with Printer - O...\u001b[0m\n", + "\u001b[91m108: Guess: $229.28 Truth: $85.69 Error: $143.59 SLE: 0.95 Item: Greenes 36 in. L x 18 in. H Wood White G...\u001b[0m\n", + "\u001b[91m109: Guess: $190.14 Truth: $57.99 Error: $132.15 SLE: 1.38 Item: CHUNGEBS Motion Activated Candy Dispense...\u001b[0m\n", + "\u001b[91m110: Guess: $329.66 Truth: $265.99 Error: $63.67 SLE: 0.05 Item: 255/50R19 107H XL GOODYEAR ASSUR WEATHER...\u001b[0m\n", + "\u001b[91m111: Guess: $254.10 Truth: $210.65 Error: $43.45 SLE: 0.03 Item: Quality-Built 15908N Supreme Import Alte...\u001b[0m\n", + "\u001b[91m112: Guess: $265.67 Truth: $812.74 Error: $547.07 SLE: 1.24 Item: S.R. Smith VOLY Swim N Spike Complete Vo...\u001b[0m\n", + "\u001b[91m113: Guess: $273.26 Truth: $112.99 Error: $160.27 SLE: 0.77 Item: 2-Drawer Mirrored Nightstand for Bedroom...\u001b[0m\n", + "\u001b[91m114: Guess: $278.59 Truth: $373.07 Error: $94.48 SLE: 0.08 Item: Timbren FER35092LB Suspension Enhancemen...\u001b[0m\n", + "\u001b[93m115: Guess: $294.89 Truth: $311.00 Error: $16.11 SLE: 0.00 Item: Crosley Furniture Compact Kitchen Island...\u001b[0m\n", + "\u001b[91m116: Guess: $266.84 Truth: $191.18 Error: $75.66 SLE: 0.11 Item: Prepac Corner Hall Tree, White\u001b[0m\n", + "\u001b[91m117: Guess: $191.80 Truth: $61.99 Error: $129.81 SLE: 1.25 Item: Donnelly Sports Strada USH Tire - 700 x ...\u001b[0m\n", + "\u001b[91m118: Guess: $240.95 Truth: $144.90 Error: $96.05 SLE: 0.26 Item: ELITE ECP22 Pool Cue Case\u001b[0m\n", + "\u001b[91m119: Guess: $204.02 Truth: $639.99 Error: $435.97 SLE: 1.30 Item: 3760 Piece Bolt Bin Kit Grade 8 Nut Bolt...\u001b[0m\n", + "\u001b[91m120: Guess: $173.35 Truth: $313.64 Error: $140.29 SLE: 0.35 Item: GDFStudio Halley Outdoor Reclining Wood ...\u001b[0m\n", + "\u001b[91m121: Guess: $312.11 Truth: $221.37 Error: $90.74 SLE: 0.12 Item: Lenovo Thinkcentre M93p SFF Business Des...\u001b[0m\n", + "\u001b[91m122: Guess: $298.43 Truth: $576.01 Error: $277.58 SLE: 0.43 Item: Wasp 633808551414 Wasptime RF200 RFID Ti...\u001b[0m\n", + "\u001b[91m123: Guess: $249.29 Truth: $82.22 Error: $167.07 SLE: 1.21 Item: Drinking Cup, 5 oz. [Case of 2500]\u001b[0m\n", + "\u001b[91m124: Guess: $178.06 Truth: $490.00 Error: $311.94 SLE: 1.02 Item: Seiko Men's SNAE57 Black Dial Watch\u001b[0m\n", + "\u001b[91m125: Guess: $258.16 Truth: $362.84 Error: $104.68 SLE: 0.12 Item: Control Arm Front Upper & Lower Kit Set ...\u001b[0m\n", + "\u001b[91m126: Guess: $236.73 Truth: $578.00 Error: $341.27 SLE: 0.79 Item: Truhart Street Plus Coilovers 1997-2001 ...\u001b[0m\n", + "\u001b[91m127: Guess: $217.48 Truth: $479.00 Error: $261.52 SLE: 0.62 Item: Small Block Chevy Serpentine System for ...\u001b[0m\n", + "\u001b[91m128: Guess: $265.69 Truth: $165.99 Error: $99.70 SLE: 0.22 Item: Diophros Power Tower Pull Up Bar, Adjust...\u001b[0m\n", + "\u001b[91m129: Guess: $263.43 Truth: $174.99 Error: $88.44 SLE: 0.17 Item: Topeakmart Shoe Rack Storage Cabinet She...\u001b[0m\n", + "\u001b[91m130: Guess: $272.54 Truth: $204.99 Error: $67.55 SLE: 0.08 Item: Steering Wheel, for Beetle 62-71, Ghia 6...\u001b[0m\n", + "\u001b[91m131: Guess: $286.51 Truth: $137.00 Error: $149.51 SLE: 0.54 Item: Maxxis M7305 Rear 100/100-18 Maxxcross I...\u001b[0m\n", + "\u001b[91m132: Guess: $294.56 Truth: $388.23 Error: $93.67 SLE: 0.08 Item: R1 Concepts Front Rear Brakes and Rotors...\u001b[0m\n", + "\u001b[91m133: Guess: $256.46 Truth: $325.00 Error: $68.54 SLE: 0.06 Item: HP Z640 Tower Server - Intel Xeon E5-264...\u001b[0m\n", + "\u001b[91m134: Guess: $231.79 Truth: $849.00 Error: $617.21 SLE: 1.68 Item: Hanover HANGRNHSP8X6-GRN 8 x 6-Ft. Polyc...\u001b[0m\n", + "\u001b[91m135: Guess: $136.55 Truth: $420.27 Error: $283.72 SLE: 1.25 Item: Movie Masterpiece : Iron Man 3 Iron Man ...\u001b[0m\n", + "\u001b[91m136: Guess: $294.56 Truth: $576.95 Error: $282.39 SLE: 0.45 Item: Thumpr NSR Cam for '09+ Dodge 5.7/6.4L H...\u001b[0m\n", + "\u001b[91m137: Guess: $230.53 Truth: $355.65 Error: $125.12 SLE: 0.19 Item: Office Accents 72\"W x 40\"H Rolling Rever...\u001b[0m\n", + "\u001b[91m138: Guess: $288.18 Truth: $371.99 Error: $83.81 SLE: 0.06 Item: Raptor Series Running Boards Steps 5in O...\u001b[0m\n", + "\u001b[91m139: Guess: $239.45 Truth: $669.99 Error: $430.54 SLE: 1.05 Item: Micro Center Intel Core i7-13700K Deskto...\u001b[0m\n", + "\u001b[91m140: Guess: $205.44 Truth: $138.00 Error: $67.44 SLE: 0.16 Item: 3-5 Birthstones Family Mothers Ring 10k ...\u001b[0m\n", + "\u001b[91m141: Guess: $244.71 Truth: $197.98 Error: $46.73 SLE: 0.04 Item: Standing Desk Walking Pad Treadmill with...\u001b[0m\n", + "\u001b[91m142: Guess: $202.62 Truth: $869.99 Error: $667.37 SLE: 2.11 Item: Greatime Storage Bed, Eastern King Size ...\u001b[0m\n", + "\u001b[91m143: Guess: $153.02 Truth: $4.29 Error: $148.73 SLE: 11.37 Item: PrimeMed Self-Adhesive Skived Dancer Pad...\u001b[0m\n", + "\u001b[91m144: Guess: $238.84 Truth: $638.62 Error: $399.78 SLE: 0.96 Item: YITHOPI 2-Seater Sofa Brown Real Goat Le...\u001b[0m\n", + "\u001b[91m145: Guess: $322.26 Truth: $362.75 Error: $40.49 SLE: 0.01 Item: East West Furniture Antique 5 Piece Dini...\u001b[0m\n", + "\u001b[91m146: Guess: $251.73 Truth: $174.20 Error: $77.53 SLE: 0.13 Item: Mean Well SE-1000-48 AC/DC Power Supply,...\u001b[0m\n", + "\u001b[93m147: Guess: $245.75 Truth: $262.99 Error: $17.24 SLE: 0.00 Item: Coaster Furniture Twin Blue Marjorie Met...\u001b[0m\n", + "\u001b[91m148: Guess: $202.20 Truth: $72.59 Error: $129.61 SLE: 1.03 Item: A-Tech 8GB KIT (2 x 4GB) for HP Compaq G...\u001b[0m\n", + "\u001b[91m149: Guess: $257.06 Truth: $449.99 Error: $192.93 SLE: 0.31 Item: AEM (21-8200DC) Brute Force Air Intake S...\u001b[0m\n", + "\u001b[91m150: Guess: $182.02 Truth: $699.99 Error: $517.97 SLE: 1.80 Item: Gold Tone CC-100R Cripple Creek Banjo wi...\u001b[0m\n", + "\u001b[91m151: Guess: $200.08 Truth: $27.99 Error: $172.09 SLE: 3.75 Item: Cestus Brutus HD, Level A7 Cut Resistant...\u001b[0m\n", + "\u001b[91m152: Guess: $211.01 Truth: $72.99 Error: $138.02 SLE: 1.11 Item: Ecomerr Electric Meat Slicer for Home Us...\u001b[0m\n", + "\u001b[93m153: Guess: $217.09 Truth: $206.69 Error: $10.40 SLE: 0.00 Item: LEDMyplace 22W 4ft T8 LED Tube/Bulb, 308...\u001b[0m\n", + "\u001b[91m154: Guess: $154.82 Truth: $303.00 Error: $148.18 SLE: 0.45 Item: Innovative Marine Aquarium Stands APS (A...\u001b[0m\n", + "\u001b[91m155: Guess: $251.84 Truth: $419.98 Error: $168.14 SLE: 0.26 Item: 33 Farmhouse Kitchen Sink - Enbol 33x21 ...\u001b[0m\n", + "\u001b[91m156: Guess: $227.26 Truth: $152.50 Error: $74.76 SLE: 0.16 Item: 14 Pcs Complete Front Suspension Control...\u001b[0m\n", + "\u001b[91m157: Guess: $242.92 Truth: $217.71 Error: $25.21 SLE: 0.01 Item: Sauder Shoal Creek Display Cabinet, Indi...\u001b[0m\n", + "\u001b[91m158: Guess: $228.62 Truth: $34.95 Error: $193.67 SLE: 3.44 Item: SlickMod Chrome Delete Blackout Vinyl Ov...\u001b[0m\n", + "\u001b[91m159: Guess: $220.88 Truth: $619.98 Error: $399.10 SLE: 1.06 Item: ZGNBSD Makeup Vanity - Vanity Desk with ...\u001b[0m\n", + "\u001b[91m160: Guess: $127.10 Truth: $65.00 Error: $62.10 SLE: 0.44 Item: Brixton Women's Joanna Straw Sun Hat\u001b[0m\n", + "\u001b[91m161: Guess: $262.93 Truth: $301.00 Error: $38.07 SLE: 0.02 Item: Savio Livingponds 4000 GPH Pressure Filt...\u001b[0m\n", + "\u001b[91m162: Guess: $293.19 Truth: $246.90 Error: $46.29 SLE: 0.03 Item: Yealink BH72 Bluetooth Headset Wireless ...\u001b[0m\n", + "\u001b[91m163: Guess: $233.12 Truth: $599.99 Error: $366.87 SLE: 0.89 Item: Mighty Mule MM372W Automatic Gate Opener...\u001b[0m\n", + "\u001b[91m164: Guess: $225.04 Truth: $177.99 Error: $47.05 SLE: 0.05 Item: Wilson Electronics Single Antenna Expans...\u001b[0m\n", + "\u001b[91m165: Guess: $271.03 Truth: $799.00 Error: $527.97 SLE: 1.16 Item: Electric Scooter 1000W/600W/500W, 28-34M...\u001b[0m\n", + "\u001b[92m166: Guess: $139.52 Truth: $141.46 Error: $1.94 SLE: 0.00 Item: Lion Steel SR22 Framelock Black Satin LS...\u001b[0m\n", + "\u001b[91m167: Guess: $282.27 Truth: $151.39 Error: $130.88 SLE: 0.38 Item: Safariland 6004 Black Sig P225, P228, P2...\u001b[0m\n", + "\u001b[91m168: Guess: $256.14 Truth: $383.99 Error: $127.85 SLE: 0.16 Item: Power Stop K2260 Front and Rear Z23 Carb...\u001b[0m\n", + "\u001b[91m169: Guess: $205.44 Truth: $330.99 Error: $125.55 SLE: 0.23 Item: Stetson Women's Dakota Western Boot\u001b[0m\n", + "\u001b[91m170: Guess: $204.44 Truth: $16.95 Error: $187.49 SLE: 5.94 Item: South Horizon GO Away T-Shirt\u001b[0m\n", + "\u001b[91m171: Guess: $205.44 Truth: $14.10 Error: $191.34 SLE: 6.84 Item: FIFA Men's Standard WWC France 2019 Wome...\u001b[0m\n", + "\u001b[91m172: Guess: $169.34 Truth: $94.39 Error: $74.95 SLE: 0.34 Item: Wera BC BR 30 Universal Bit Ratchet (Zyk...\u001b[0m\n", + "\u001b[91m173: Guess: $240.33 Truth: $429.99 Error: $189.66 SLE: 0.34 Item: Traxxas Rustler 4x4 VXL, Brushless RC Tr...\u001b[0m\n", + "\u001b[91m174: Guess: $324.72 Truth: $705.00 Error: $380.28 SLE: 0.60 Item: Early 2016 Apple MacBook with 1,2 GHz In...\u001b[0m\n", + "\u001b[91m175: Guess: $161.37 Truth: $199.00 Error: $37.63 SLE: 0.04 Item: Douchebags The Carryall 65l\u001b[0m\n", + "\u001b[91m176: Guess: $279.04 Truth: $314.95 Error: $35.91 SLE: 0.01 Item: MARTHA STEWART Living and Learning Kids'...\u001b[0m\n", + "\u001b[91m177: Guess: $216.01 Truth: $181.65 Error: $34.36 SLE: 0.03 Item: ClearStream 4V Indoor/Outdoor HDTV Anten...\u001b[0m\n", + "\u001b[91m178: Guess: $309.00 Truth: $341.70 Error: $32.70 SLE: 0.01 Item: Callahan Front 324mm and Rear 330mm Dril...\u001b[0m\n", + "\u001b[93m179: Guess: $289.28 Truth: $306.93 Error: $17.65 SLE: 0.00 Item: Innovative Mounts 50110 Traction Bar Kit...\u001b[0m\n", + "\u001b[91m180: Guess: $190.58 Truth: $54.99 Error: $135.59 SLE: 1.51 Item: Nikon FM3A Case, BolinUS Handmade Genuin...\u001b[0m\n", + "\u001b[91m181: Guess: $218.98 Truth: $124.90 Error: $94.08 SLE: 0.31 Item: Las Vegas \"Fabulous Las Vegas\" Padded Sw...\u001b[0m\n", + "\u001b[92m182: Guess: $158.55 Truth: $165.61 Error: $7.06 SLE: 0.00 Item: D-arts Rokusho (12 cm PVC figure) Bandai...\u001b[0m\n", + "\u001b[91m183: Guess: $265.92 Truth: $331.00 Error: $65.08 SLE: 0.05 Item: Crossrock Lightweight Case for 4/4 Full ...\u001b[0m\n", + "\u001b[91m184: Guess: $265.81 Truth: $315.00 Error: $49.19 SLE: 0.03 Item: Genuine Mercedes-Benz Lower Cover 204-91...\u001b[0m\n", + "\u001b[91m185: Guess: $165.16 Truth: $73.50 Error: $91.66 SLE: 0.64 Item: Chi Mei N133bge-l31 Replacement LAPTOP L...\u001b[0m\n", + "\u001b[91m186: Guess: $234.57 Truth: $649.00 Error: $414.43 SLE: 1.03 Item: New Mustang Motorcycle Seat - 2002-2008 ...\u001b[0m\n", + "\u001b[91m187: Guess: $198.40 Truth: $590.00 Error: $391.60 SLE: 1.18 Item: Bric's LIFE 22-Inch Cargo Duffle Bag - L...\u001b[0m\n", + "\u001b[91m188: Guess: $242.07 Truth: $599.99 Error: $357.92 SLE: 0.82 Item: Casa AndreaMilano 3 Piece Microfiber and...\u001b[0m\n", + "\u001b[93m189: Guess: $247.63 Truth: $228.22 Error: $19.41 SLE: 0.01 Item: Mountain Plumbing MT1800-NL/PVDBRN Littl...\u001b[0m\n", + "\u001b[93m190: Guess: $205.44 Truth: $194.95 Error: $10.49 SLE: 0.00 Item: Durango Women's Austin 3 in 1\u001b[0m\n", + "\u001b[91m191: Guess: $187.19 Truth: $329.00 Error: $141.81 SLE: 0.32 Item: QNAP TR-004U 1U 4 Bay Hard Drive Enclosu...\u001b[0m\n", + "\u001b[91m192: Guess: $302.66 Truth: $22.49 Error: $280.17 SLE: 6.55 Item: Gamakatsu 25 Pack EWG Offset Worm Hook\u001b[0m\n", + "\u001b[91m193: Guess: $220.10 Truth: $49.99 Error: $170.11 SLE: 2.15 Item: Benchmark Abrasives 7\" x 7/8\" Premium Hi...\u001b[0m\n", + "\u001b[91m194: Guess: $246.88 Truth: $175.64 Error: $71.24 SLE: 0.11 Item: Delphi HP10017 Fuel Pump and Hanger Asse...\u001b[0m\n", + "\u001b[91m195: Guess: $184.84 Truth: $114.95 Error: $69.89 SLE: 0.22 Item: YaeMarine 2 Steps Boat Out-Board Swim La...\u001b[0m\n", + "\u001b[91m196: Guess: $232.49 Truth: $800.00 Error: $567.51 SLE: 1.52 Item: Karman Healthcare S-2501F16SS-TP Ergonom...\u001b[0m\n", + "\u001b[91m197: Guess: $263.99 Truth: $236.27 Error: $27.72 SLE: 0.01 Item: Bme Dinkee 15 Inch Signature Bed Frame W...\u001b[0m\n", + "\u001b[91m198: Guess: $245.43 Truth: $449.99 Error: $204.56 SLE: 0.37 Item: Leupold DeltaPoint Pro Reflex Sight\u001b[0m\n", + "\u001b[91m199: Guess: $178.20 Truth: $839.00 Error: $660.80 SLE: 2.39 Item: Angara Natural Blue Sapphire Heart Penda...\u001b[0m\n", + "\u001b[93m200: Guess: $220.63 Truth: $202.50 Error: $18.13 SLE: 0.01 Item: Outlaw Cues Pool Cue with Black Bumper W...\u001b[0m\n", + "\u001b[91m201: Guess: $248.79 Truth: $532.00 Error: $283.21 SLE: 0.57 Item: Rev9 R9-HS2-089 Hyper-Street II Coilover...\u001b[0m\n", + "\u001b[92m202: Guess: $254.70 Truth: $257.98 Error: $3.28 SLE: 0.00 Item: Teraflex Dana 44 HD Differential Cover C...\u001b[0m\n", + "\u001b[91m203: Guess: $181.08 Truth: $451.69 Error: $270.61 SLE: 0.83 Item: Beverage Air 502-431D-03 Control - Dixel\u001b[0m\n", + "\u001b[91m204: Guess: $236.38 Truth: $407.79 Error: $171.41 SLE: 0.30 Item: Dayton 1XJX7 Blower, Degrees_Fahrenheit,...\u001b[0m\n", + "\u001b[91m205: Guess: $271.92 Truth: $418.34 Error: $146.42 SLE: 0.18 Item: Turning Point 31501730 Express Stainless...\u001b[0m\n", + "\u001b[91m206: Guess: $192.50 Truth: $334.95 Error: $142.45 SLE: 0.30 Item: Zildjian K Custom Hybrid Crash Cymbal - ...\u001b[0m\n", + "\u001b[91m207: Guess: $303.04 Truth: $119.99 Error: $183.05 SLE: 0.85 Item: Canon PowerShot SX150 IS 14.1 MP Digital...\u001b[0m\n", + "\u001b[91m208: Guess: $187.96 Truth: $444.00 Error: $256.04 SLE: 0.73 Item: 26” Ukulele Black w/Freeboost Electronic...\u001b[0m\n", + "\u001b[91m209: Guess: $200.77 Truth: $260.99 Error: $60.22 SLE: 0.07 Item: Nuheat F1506 Under Floor Heating Mat 120...\u001b[0m\n", + "\u001b[92m210: Guess: $227.26 Truth: $235.99 Error: $8.73 SLE: 0.00 Item: Tangkula Wicker Rocking Chair, Outdoor G...\u001b[0m\n", + "\u001b[91m211: Guess: $190.41 Truth: $539.99 Error: $349.58 SLE: 1.08 Item: DreamLine Visions 56-60 in. W x 58 in. H...\u001b[0m\n", + "\u001b[91m212: Guess: $173.42 Truth: $86.02 Error: $87.40 SLE: 0.48 Item: Lenox RX+ Vari-Raker Band Saw Blade, Bim...\u001b[0m\n", + "\u001b[91m213: Guess: $267.38 Truth: $399.90 Error: $132.52 SLE: 0.16 Item: Compatible with 2002 2003 2004 2005 2006...\u001b[0m\n", + "\u001b[91m214: Guess: $189.49 Truth: $320.00 Error: $130.51 SLE: 0.27 Item: Volcom ELM Stretch Gore Bib Overall\u001b[0m\n", + "\u001b[91m215: Guess: $251.73 Truth: $162.95 Error: $88.78 SLE: 0.19 Item: 5KCP39FGY563S - GE Replacement Condenser...\u001b[0m\n", + "\u001b[91m216: Guess: $189.98 Truth: $4.99 Error: $184.99 SLE: 11.99 Item: BYB Jewelry Pair of 2 Dangling Skull Fak...\u001b[0m\n", + "\u001b[91m217: Guess: $312.48 Truth: $200.54 Error: $111.94 SLE: 0.20 Item: Dell Optiplex 990 Desktop Computer - Int...\u001b[0m\n", + "\u001b[91m218: Guess: $292.25 Truth: $183.41 Error: $108.84 SLE: 0.22 Item: AEM 21-832C Cold Air Intake System\u001b[0m\n", + "\u001b[91m219: Guess: $237.16 Truth: $655.62 Error: $418.46 SLE: 1.03 Item: Erica Synths Drum Sequencer Eurorack Mod...\u001b[0m\n", + "\u001b[91m220: Guess: $329.41 Truth: $596.74 Error: $267.33 SLE: 0.35 Item: Winholt WHSS-1 Table Model Film Wrappers...\u001b[0m\n", + "\u001b[93m221: Guess: $162.82 Truth: $177.64 Error: $14.82 SLE: 0.01 Item: Dooney & Bourke Ostrich Continental Clut...\u001b[0m\n", + "\u001b[91m222: Guess: $312.47 Truth: $343.99 Error: $31.52 SLE: 0.01 Item: Power Stop CRK6958 Coated Brake Rotor an...\u001b[0m\n", + "\u001b[91m223: Guess: $203.87 Truth: $541.09 Error: $337.22 SLE: 0.95 Item: KOHLER K-8459-0 Rely Single-Threshold Sh...\u001b[0m\n", + "\u001b[91m224: Guess: $265.40 Truth: $499.99 Error: $234.59 SLE: 0.40 Item: MANTELSDIRECT Titus Metal Stainless Stee...\u001b[0m\n", + "\u001b[93m225: Guess: $219.31 Truth: $235.00 Error: $15.69 SLE: 0.00 Item: Body-Solid Powerline PPA13X PEC Attachme...\u001b[0m\n", + "\u001b[91m226: Guess: $279.10 Truth: $244.99 Error: $34.11 SLE: 0.02 Item: Lifetime 480074 Contemporary Folding Cha...\u001b[0m\n", + "\u001b[93m227: Guess: $189.49 Truth: $173.25 Error: $16.24 SLE: 0.01 Item: Fowler 54-860-211 Electronic IP54 Ball-A...\u001b[0m\n", + "\u001b[91m228: Guess: $238.05 Truth: $314.00 Error: $75.95 SLE: 0.08 Item: Spyder Auto 5079985 LED Tail Lights Blac...\u001b[0m\n", + "\u001b[91m229: Guess: $287.84 Truth: $468.48 Error: $180.64 SLE: 0.24 Item: Wiseco WK1313 84.50 mm 2-Stroke Watercra...\u001b[0m\n", + "\u001b[91m230: Guess: $149.01 Truth: $928.47 Error: $779.46 SLE: 3.33 Item: Moen 900-002 Flo by Moen 1-1/4-Inch Smar...\u001b[0m\n", + "\u001b[91m231: Guess: $257.12 Truth: $427.49 Error: $170.37 SLE: 0.26 Item: Christopher Knight Home Panama Outdoor A...\u001b[0m\n", + "\u001b[91m232: Guess: $191.35 Truth: $33.99 Error: $157.36 SLE: 2.90 Item: Cranium Brain Breaks Game\u001b[0m\n", + "\u001b[91m233: Guess: $229.39 Truth: $365.00 Error: $135.61 SLE: 0.21 Item: Top Case - Aluminum Top Case - BMW/KTM/Y...\u001b[0m\n", + "\u001b[91m234: Guess: $226.58 Truth: $88.00 Error: $138.58 SLE: 0.88 Item: 58x84\" Rectangular Versailles Blue Cotto...\u001b[0m\n", + "\u001b[91m235: Guess: $323.95 Truth: $440.00 Error: $116.05 SLE: 0.09 Item: Dell i3552-3240BLK 15.6\" HD Laptop (Inte...\u001b[0m\n", + "\u001b[91m236: Guess: $298.04 Truth: $468.00 Error: $169.96 SLE: 0.20 Item: Meyda Tiffany 21211 Moravian Star Pendan...\u001b[0m\n", + "\u001b[91m237: Guess: $127.10 Truth: $21.99 Error: $105.11 SLE: 2.95 Item: Cycling Jersey Men Bike Tops Bicycle Jer...\u001b[0m\n", + "\u001b[91m238: Guess: $260.51 Truth: $719.00 Error: $458.49 SLE: 1.03 Item: Godox VL300 300w New LED Lights,5600K Da...\u001b[0m\n", + "\u001b[92m239: Guess: $233.81 Truth: $230.02 Error: $3.79 SLE: 0.00 Item: La Sportiva Ultra Raptor Mountain Runnin...\u001b[0m\n", + "\u001b[91m240: Guess: $221.30 Truth: $35.85 Error: $185.45 SLE: 3.23 Item: UpBright 2-Prong 29V AC/DC Adapter Compa...\u001b[0m\n", + "\u001b[91m241: Guess: $205.44 Truth: $254.25 Error: $48.81 SLE: 0.05 Item: Ross-Simons Sterling Silver and 14kt Yel...\u001b[0m\n", + "\u001b[91m242: Guess: $234.50 Truth: $96.03 Error: $138.47 SLE: 0.79 Item: RAREELECTRICAL NEW RIGHT TAIL LIGHT COMP...\u001b[0m\n", + "\u001b[91m243: Guess: $227.74 Truth: $789.99 Error: $562.25 SLE: 1.54 Item: Stetsom EX 10500 EQ 2 Ohm Mono Car Audio...\u001b[0m\n", + "\u001b[91m244: Guess: $312.59 Truth: $234.00 Error: $78.59 SLE: 0.08 Item: Microsoft Surface Pro 4 128 GB, 4 GB RAM...\u001b[0m\n", + "\u001b[91m245: Guess: $248.31 Truth: $183.60 Error: $64.71 SLE: 0.09 Item: POOL CHLORINE GRAN 25#\u001b[0m\n", + "\u001b[91m246: Guess: $159.55 Truth: $198.49 Error: $38.94 SLE: 0.05 Item: Disposable Plastic Party Package, Elegan...\u001b[0m\n", + "\u001b[91m247: Guess: $195.98 Truth: $49.95 Error: $146.03 SLE: 1.83 Item: ViewMaster 3 Reel Set HORSES - 21 3D Pic...\u001b[0m\n", + "\u001b[91m248: Guess: $173.27 Truth: $40.76 Error: $132.51 SLE: 2.04 Item: Aquacel Foam Dressing by Convatec ( Dres...\u001b[0m\n", + "\u001b[91m249: Guess: $291.49 Truth: $312.03 Error: $20.54 SLE: 0.00 Item: FONTOI Futon Sofa Bed Memory Foam Couch ...\u001b[0m\n", + "\u001b[91m250: Guess: $236.97 Truth: $584.87 Error: $347.90 SLE: 0.81 Item: Blue Ox BX1124 Base Plate for Jeep Wrang...\u001b[0m\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "runner2 = TestRunner(svr_predictor, test, \"SVR Accuracy\").run()" + ] + }, + { + "cell_type": "code", + "execution_count": 109, + "id": "60010699-d26b-4f93-a959-50272ada6a57", + "metadata": {}, + "outputs": [], + "source": [ + "def messages_for(item):\n", + " system_message = \"You estimate prices of items under $1000. Reply only with the price, no explanation\"\n", + " user_prompt = item.question()\n", + " return [\n", + " {\"role\": \"system\", \"content\": system_message},\n", + " {\"role\": \"user\", \"content\": user_prompt}\n", + " ]" + ] + }, + { + "cell_type": "code", + "execution_count": 110, + "id": "2d5c1a62-9c6e-4c1c-b051-95a78e6e32a7", + "metadata": {}, + "outputs": [], + "source": [ + "def get_price(s):\n", + " s = s.replace('$','').replace(',','')\n", + " match = re.search(r\"[-+]?\\d*\\.\\d+|\\d+\", s)\n", + " return float(match.group()) if match else 0" + ] + }, + { + "cell_type": "code", + "execution_count": 111, + "id": "9c845d34-1c73-4636-a6ec-cc6666bb39fa", + "metadata": {}, + "outputs": [], + "source": [ + "def gpt_predictor(item):\n", + " response = openai.chat.completions.create(\n", + " model=\"gpt-4o-2024-08-06\", #OPENAI_MODEL,\n", + " messages=messages_for(item),\n", + " seed=42,\n", + " max_tokens=6\n", + " )\n", + " reply = response.choices[0].message.content\n", + " return get_price(reply)" + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "id": "1b3eb3ef-90a8-4642-b503-c22e72c457f5", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[91m1: Guess: $699.00 Truth: $731.40 Error: $32.40 SLE: 0.00 Item: Bobkona Sectional Sofa Set Coffee\u001b[0m\n", + "\u001b[93m2: Guess: $250.00 Truth: $269.99 Error: $19.99 SLE: 0.01 Item: MAT EXPERT Kitchen Pantry Cupboard Cabin...\u001b[0m\n", + "\u001b[91m3: Guess: $800.00 Truth: $841.80 Error: $41.80 SLE: 0.00 Item: 2022 Flagship HP Pavilion 15.6\" FHD 1080...\u001b[0m\n", + "\u001b[91m4: Guess: $200.00 Truth: $300.73 Error: $100.73 SLE: 0.17 Item: Five Ten Adidas Hiangle Pro Competition ...\u001b[0m\n", + "\u001b[92m5: Guess: $85.00 Truth: $80.95 Error: $4.05 SLE: 0.00 Item: WOG: New York 1776, the New York Campaig...\u001b[0m\n", + "\u001b[91m6: Guess: $850.00 Truth: $734.43 Error: $115.57 SLE: 0.02 Item: P3 POMPEII3 1 1/10ct Diamond Engagement ...\u001b[0m\n", + "\u001b[93m7: Guess: $65.00 Truth: $77.99 Error: $12.99 SLE: 0.03 Item: NOVICA Purple Hand Painted Alebrije Wood...\u001b[0m\n", + "\u001b[91m8: Guess: $499.00 Truth: $399.00 Error: $100.00 SLE: 0.05 Item: ddrum DD Beta XP Electronic Drum Kit\u001b[0m\n", + "\u001b[91m9: Guess: $800.00 Truth: $592.24 Error: $207.76 SLE: 0.09 Item: Lund Hard Tri-Fold Hard Folding Truck Be...\u001b[0m\n", + "\u001b[93m10: Guess: $299.00 Truth: $279.99 Error: $19.01 SLE: 0.00 Item: NUWATT 4 Pack, 2x4 FT LED Ceiling Panel,...\u001b[0m\n", + "\u001b[93m11: Guess: $230.00 Truth: $219.99 Error: $10.01 SLE: 0.00 Item: 1.5'' Big Dude 10'' Height Handlebars fo...\u001b[0m\n", + "\u001b[91m12: Guess: $299.00 Truth: $835.99 Error: $536.99 SLE: 1.05 Item: Seismic Audio Speakers Magnitude 3600 2 ...\u001b[0m\n", + "\u001b[91m13: Guess: $150.00 Truth: $196.99 Error: $46.99 SLE: 0.07 Item: Firepro V5800 1GB Pcie Giftbox\u001b[0m\n", + "\u001b[93m14: Guess: $250.00 Truth: $265.33 Error: $15.33 SLE: 0.00 Item: doTERRA - Deep Blue Rub - 32 oz\u001b[0m\n", + "\u001b[91m15: Guess: $299.00 Truth: $356.50 Error: $57.50 SLE: 0.03 Item: JACKPUCK press 2 ton - Small Round Mould\u001b[0m\n", + "\u001b[91m16: Guess: $120.00 Truth: $180.60 Error: $60.60 SLE: 0.16 Item: OASE Indoor Aquatics OptiMax 1420\u001b[0m\n", + "\u001b[93m17: Guess: $349.00 Truth: $363.56 Error: $14.56 SLE: 0.00 Item: AKRacing Core Ex-Wide SE Sedia da Gioco,...\u001b[0m\n", + "\u001b[91m18: Guess: $240.00 Truth: $284.99 Error: $44.99 SLE: 0.03 Item: Devoko Patio Furniture Set 5 Pieces Pati...\u001b[0m\n", + "\u001b[92m19: Guess: $240.00 Truth: $244.12 Error: $4.12 SLE: 0.00 Item: WarmlyYours TRT120-KIT-OT-1.5x06 TempZon...\u001b[0m\n", + "\u001b[91m20: Guess: $850.00 Truth: $946.25 Error: $96.25 SLE: 0.01 Item: JDBands 14K Yellow Solid Gold Hand Braid...\u001b[0m\n", + "\u001b[92m21: Guess: $48.00 Truth: $39.99 Error: $8.01 SLE: 0.03 Item: SmallRig Field Monitor Mount with NATO C...\u001b[0m\n", + "\u001b[91m22: Guess: $79.99 Truth: $204.14 Error: $124.15 SLE: 0.86 Item: DWK \"American Bison\" Wall Mounted Faux B...\u001b[0m\n", + "\u001b[91m23: Guess: $499.00 Truth: $339.00 Error: $160.00 SLE: 0.15 Item: Echomaster FCTP-DR1304 Blind Spot Camera...\u001b[0m\n", + "\u001b[92m24: Guess: $80.00 Truth: $72.49 Error: $7.51 SLE: 0.01 Item: Stanley Proto J48005LS2 Long Drive Pin P...\u001b[0m\n", + "\u001b[93m25: Guess: $12.00 Truth: $1.69 Error: $10.31 SLE: 2.48 Item: Chrome Nail Powder Metallic Mirror Effec...\u001b[0m\n", + "\u001b[91m26: Guess: $200.00 Truth: $289.95 Error: $89.95 SLE: 0.14 Item: Kohler 24-025-57-S Lawn & Garden Equipme...\u001b[0m\n", + "\u001b[92m27: Guess: $650.00 Truth: $649.00 Error: $1.00 SLE: 0.00 Item: Lenovo 2021 Ideapad 3 Premium Laptop I 1...\u001b[0m\n", + "\u001b[91m28: Guess: $189.00 Truth: $107.35 Error: $81.65 SLE: 0.32 Item: CRUX DKGM-49 Replacement Radio and Dash ...\u001b[0m\n", + "\u001b[91m29: Guess: $85.00 Truth: $126.30 Error: $41.30 SLE: 0.15 Item: G-Technology G-DRIVE mobile USB Portable...\u001b[0m\n", + "\u001b[91m30: Guess: $450.00 Truth: $165.50 Error: $284.50 SLE: 0.99 Item: FPV Drone with HD Camera for Adults, 5In...\u001b[0m\n", + "\u001b[91m31: Guess: $299.95 Truth: $178.43 Error: $121.52 SLE: 0.27 Item: Rough Country High Steer Correction for ...\u001b[0m\n", + "\u001b[92m32: Guess: $35.00 Truth: $28.99 Error: $6.01 SLE: 0.03 Item: LaDoVita 3 Pack Ceramic Plant Pots 6/5/4...\u001b[0m\n", + "\u001b[91m33: Guess: $150.00 Truth: $245.95 Error: $95.95 SLE: 0.24 Item: InFocus SP-Lamp-015 Replacement Lamp for...\u001b[0m\n", + "\u001b[91m34: Guess: $150.00 Truth: $380.25 Error: $230.25 SLE: 0.86 Item: Pokemon - Dark Tyranitar (11) - Neo Dest...\u001b[0m\n", + "\u001b[91m35: Guess: $120.00 Truth: $82.99 Error: $37.01 SLE: 0.13 Item: Knives Of Alaska SureGrip Jaeger Boning ...\u001b[0m\n", + "\u001b[92m36: Guess: $90.00 Truth: $83.76 Error: $6.24 SLE: 0.01 Item: Eminence Arctic Berry Peptide Radiance C...\u001b[0m\n", + "\u001b[91m37: Guess: $48.00 Truth: $16.97 Error: $31.03 SLE: 1.01 Item: Madewell Women's Short Sleeve Harley Tee\u001b[0m\n", + "\u001b[91m38: Guess: $600.00 Truth: $288.31 Error: $311.69 SLE: 0.53 Item: Wireless Earbuds, Bluetooth Earbuds with...\u001b[0m\n", + "\u001b[91m39: Guess: $315.00 Truth: $171.79 Error: $143.21 SLE: 0.36 Item: Esco Equipment (ESC10436) 10 Ton Fork Li...\u001b[0m\n", + "\u001b[91m40: Guess: $89.00 Truth: $176.99 Error: $87.99 SLE: 0.47 Item: for Dodge Charger 2006-2022 Car Seat Cov...\u001b[0m\n", + "\u001b[91m41: Guess: $600.00 Truth: $218.75 Error: $381.25 SLE: 1.01 Item: Gin and Grace 10K Yellow Gold Natural Au...\u001b[0m\n", + "\u001b[91m42: Guess: $200.00 Truth: $177.95 Error: $22.05 SLE: 0.01 Item: SAMSUNG Galaxy A23 5G A Series Cell Phon...\u001b[0m\n", + "\u001b[93m43: Guess: $199.00 Truth: $216.63 Error: $17.63 SLE: 0.01 Item: Innovate Motorsports 3918 MTX Series MTX...\u001b[0m\n", + "\u001b[93m44: Guess: $50.00 Truth: $68.99 Error: $18.99 SLE: 0.10 Item: Earthbath Eucalyptus and Peppermint Conc...\u001b[0m\n", + "\u001b[92m45: Guess: $97.00 Truth: $89.91 Error: $7.09 SLE: 0.01 Item: Classic 1X1 Squares Gray Light Blue Glos...\u001b[0m\n", + "\u001b[93m46: Guess: $299.00 Truth: $316.40 Error: $17.40 SLE: 0.00 Item: [Switchback LED] VIPMOTOZ Black Bezel OL...\u001b[0m\n", + "\u001b[91m47: Guess: $60.00 Truth: $23.99 Error: $36.01 SLE: 0.80 Item: 300 Pcs Kraft Bags with Window Kraft Sta...\u001b[0m\n", + "\u001b[91m48: Guess: $85.00 Truth: $169.00 Error: $84.00 SLE: 0.46 Item: Osram Sylvania QTP4X32T8/UNV ISN-SC 4994...\u001b[0m\n", + "\u001b[91m49: Guess: $249.99 Truth: $361.99 Error: $112.00 SLE: 0.14 Item: CHARMMA Adjustable Swivel Chairs Recline...\u001b[0m\n", + "\u001b[91m50: Guess: $160.00 Truth: $216.00 Error: $56.00 SLE: 0.09 Item: CanDo Firm Non-Slip, Dual-Textured, Weig...\u001b[0m\n", + "\u001b[91m51: Guess: $600.00 Truth: $70.99 Error: $529.01 SLE: 4.50 Item: Guard Plastic Plates Box for Shoe & Boot...\u001b[0m\n", + "\u001b[91m52: Guess: $129.00 Truth: $64.99 Error: $64.01 SLE: 0.46 Item: Bonnlo 3 Piece Dining Set, Small Kitchen...\u001b[0m\n", + "\u001b[91m53: Guess: $299.00 Truth: $239.00 Error: $60.00 SLE: 0.05 Item: Myers Pickups The Feather-2 Concertina M...\u001b[0m\n", + "\u001b[91m54: Guess: $650.00 Truth: $849.99 Error: $199.99 SLE: 0.07 Item: 66 inch DENALI Pro UTV Snow Plow Kit in ...\u001b[0m\n", + "\u001b[91m55: Guess: $39.99 Truth: $69.54 Error: $29.55 SLE: 0.29 Item: Art3d Peel and Stick Mother of Pearl She...\u001b[0m\n", + "\u001b[91m56: Guess: $259.99 Truth: $215.89 Error: $44.10 SLE: 0.03 Item: PAKASEPT Vanity Set with Sliding Lighted...\u001b[0m\n", + "\u001b[91m57: Guess: $600.00 Truth: $349.00 Error: $251.00 SLE: 0.29 Item: Adjustable Queen Size Deluxe Murphy Bed ...\u001b[0m\n", + "\u001b[91m58: Guess: $60.00 Truth: $92.26 Error: $32.26 SLE: 0.18 Item: Dell Imaging Drum\u001b[0m\n", + "\u001b[91m59: Guess: $299.00 Truth: $672.76 Error: $373.76 SLE: 0.65 Item: Evan Fischer Catalytic Converter 46-Stat...\u001b[0m\n", + "\u001b[92m60: Guess: $25.00 Truth: $19.00 Error: $6.00 SLE: 0.07 Item: Flip Cover for Pocketbook Era, Shiny Bei...\u001b[0m\n", + "\u001b[91m61: Guess: $340.00 Truth: $279.40 Error: $60.60 SLE: 0.04 Item: Brayden Petit Silver 20 1/4\" x 30 1/4\" A...\u001b[0m\n", + "\u001b[91m62: Guess: $340.00 Truth: $266.88 Error: $73.12 SLE: 0.06 Item: Bahco S138 Socket & Mechanical Set, Metr...\u001b[0m\n", + "\u001b[91m63: Guess: $150.00 Truth: $123.90 Error: $26.10 SLE: 0.04 Item: Ready to Install Package : Directv HD Sa...\u001b[0m\n", + "\u001b[91m64: Guess: $800.00 Truth: $527.21 Error: $272.79 SLE: 0.17 Item: iridium GO! Fixed Installation Kit\u001b[0m\n", + "\u001b[92m65: Guess: $68.00 Truth: $69.00 Error: $1.00 SLE: 0.00 Item: Natori Women's Yogi Contour Convertible ...\u001b[0m\n", + "\u001b[91m66: Guess: $600.00 Truth: $322.00 Error: $278.00 SLE: 0.39 Item: Oriental Furniture 6 ft. Tall Bamboo Wav...\u001b[0m\n", + "\u001b[91m67: Guess: $270.00 Truth: $309.00 Error: $39.00 SLE: 0.02 Item: Corral Boots C3730\u001b[0m\n", + "\u001b[91m68: Guess: $600.00 Truth: $549.99 Error: $50.01 SLE: 0.01 Item: Frigidaire Home Comfort White 10,000 BTU...\u001b[0m\n", + "\u001b[93m69: Guess: $60.00 Truth: $76.05 Error: $16.05 SLE: 0.05 Item: Pillow Perfect Outdoor/Indoor in The Fra...\u001b[0m\n", + "\u001b[93m70: Guess: $280.00 Truth: $268.26 Error: $11.74 SLE: 0.00 Item: Evan Fischer Catalytic Converter 46-Stat...\u001b[0m\n", + "\u001b[91m71: Guess: $265.00 Truth: $567.19 Error: $302.19 SLE: 0.58 Item: Moen UT3693EPBN Voss Collection M-CORE 3...\u001b[0m\n", + "\u001b[91m72: Guess: $200.00 Truth: $287.30 Error: $87.30 SLE: 0.13 Item: American Standard 7353841.002 Townsend 8...\u001b[0m\n", + "\u001b[91m73: Guess: $150.00 Truth: $75.00 Error: $75.00 SLE: 0.47 Item: Elaine Coyne Wearable Art Verdigris Pati...\u001b[0m\n", + "\u001b[91m74: Guess: $650.00 Truth: $302.40 Error: $347.60 SLE: 0.58 Item: Home Square 4 Drawer Chest and 2 Drawer ...\u001b[0m\n", + "\u001b[91m75: Guess: $200.00 Truth: $84.99 Error: $115.01 SLE: 0.72 Item: Rite Farm Products L10 Processing KIT Dr...\u001b[0m\n", + "\u001b[92m76: Guess: $95.00 Truth: $95.00 Error: $0.00 SLE: 0.00 Item: Cartier Declaration Essence Eau de Toile...\u001b[0m\n", + "\u001b[92m77: Guess: $240.00 Truth: $242.64 Error: $2.64 SLE: 0.00 Item: Fit System Passenger Side Mirror for GMC...\u001b[0m\n", + "\u001b[91m78: Guess: $399.00 Truth: $619.15 Error: $220.15 SLE: 0.19 Item: B&K Precision 8540 Compact DC Electronic...\u001b[0m\n", + "\u001b[91m79: Guess: $189.00 Truth: $290.00 Error: $101.00 SLE: 0.18 Item: NEC Desktop E203WI-BK 20\" Screen LCD Mon...\u001b[0m\n", + "\u001b[91m80: Guess: $850.00 Truth: $512.81 Error: $337.19 SLE: 0.25 Item: 1.49ct Round Cut Halo Pave Solitaire Spl...\u001b[0m\n", + "\u001b[93m81: Guess: $240.00 Truth: $256.70 Error: $16.70 SLE: 0.00 Item: AUTOSAVER88 Complete Struts Compatible w...\u001b[0m\n", + "\u001b[92m82: Guess: $240.00 Truth: $247.37 Error: $7.37 SLE: 0.00 Item: BJE 007600 Black Knight 99\" Liquid Level...\u001b[0m\n", + "\u001b[91m83: Guess: $500.00 Truth: $432.00 Error: $68.00 SLE: 0.02 Item: Logitech ConferenceCam Connect All-in-On...\u001b[0m\n", + "\u001b[91m84: Guess: $850.00 Truth: $902.60 Error: $52.60 SLE: 0.00 Item: Feiss F3932/12WOAF Avenir Industrial Far...\u001b[0m\n", + "\u001b[91m85: Guess: $150.00 Truth: $374.99 Error: $224.99 SLE: 0.83 Item: Spectre Performance 765 Low Profile Dual...\u001b[0m\n", + "\u001b[91m86: Guess: $60.00 Truth: $154.28 Error: $94.28 SLE: 0.87 Item: Moen 3838CP Four-Function Shower Head, C...\u001b[0m\n", + "\u001b[91m87: Guess: $315.00 Truth: $229.95 Error: $85.05 SLE: 0.10 Item: Bosch Dishwasher Heat Pump 669135 006691...\u001b[0m\n", + "\u001b[91m88: Guess: $850.00 Truth: $815.88 Error: $34.12 SLE: 0.00 Item: Buyers Products 1705440 XD Smooth Alumin...\u001b[0m\n", + "\u001b[92m89: Guess: $315.00 Truth: $312.94 Error: $2.06 SLE: 0.00 Item: Nitto Trail Grappler M/T All-Terrain Tir...\u001b[0m\n", + "\u001b[91m90: Guess: $329.00 Truth: $349.49 Error: $20.49 SLE: 0.00 Item: Linea di Liara Caserti Mid Century Moder...\u001b[0m\n", + "\u001b[91m91: Guess: $299.00 Truth: $379.00 Error: $80.00 SLE: 0.06 Item: Polaris Ranger 900xp Front Bumper (2013-...\u001b[0m\n", + "\u001b[92m92: Guess: $240.00 Truth: $234.80 Error: $5.20 SLE: 0.00 Item: Bulova Frank Lloyd Wright 'December Gift...\u001b[0m\n", + "\u001b[91m93: Guess: $600.00 Truth: $319.00 Error: $281.00 SLE: 0.40 Item: 12\" White Round Plastic Post Top Globe -...\u001b[0m\n", + "\u001b[92m94: Guess: $499.00 Truth: $498.00 Error: $1.00 SLE: 0.00 Item: Teac HA-P90SD-B Portable Hi-Resolution D...\u001b[0m\n", + "\u001b[91m95: Guess: $299.00 Truth: $216.19 Error: $82.81 SLE: 0.10 Item: Dometic DI-GH120M Maroon interVac Garage...\u001b[0m\n", + "\u001b[91m96: Guess: $95.00 Truth: $45.99 Error: $49.01 SLE: 0.51 Item: 1500 Pieces Bamboo Jigsaw Puzzle Board T...\u001b[0m\n", + "\u001b[91m97: Guess: $299.00 Truth: $260.91 Error: $38.09 SLE: 0.02 Item: Fanimation Embrace Indoor Ceiling Fan wi...\u001b[0m\n", + "\u001b[91m98: Guess: $189.00 Truth: $125.99 Error: $63.01 SLE: 0.16 Item: TCL 20 SE 6.82\" Unlocked Cellphone, 4GB ...\u001b[0m\n", + "\u001b[91m99: Guess: $299.99 Truth: $279.99 Error: $20.00 SLE: 0.00 Item: BOUNTECH Inflatable Water Slide for Kids...\u001b[0m\n", + "\u001b[92m100: Guess: $85.00 Truth: $75.81 Error: $9.19 SLE: 0.01 Item: ACME Silhouette Twin HB/FB Only - 02054W...\u001b[0m\n", + "\u001b[91m101: Guess: $200.00 Truth: $248.37 Error: $48.37 SLE: 0.05 Item: Radiator - Pacific Best Inc. Compatible/...\u001b[0m\n", + "\u001b[93m102: Guess: $50.00 Truth: $36.90 Error: $13.10 SLE: 0.09 Item: Deus Board Game\u001b[0m\n", + "\u001b[91m103: Guess: $85.00 Truth: $54.50 Error: $30.50 SLE: 0.19 Item: Colorado Angler Supply KB Tool Kit\u001b[0m\n", + "\u001b[92m104: Guess: $40.00 Truth: $48.00 Error: $8.00 SLE: 0.03 Item: Nantucket Home Gift for A Fireman – 15 I...\u001b[0m\n", + "\u001b[91m105: Guess: $350.00 Truth: $241.15 Error: $108.85 SLE: 0.14 Item: Invicta INVICTA-9937 Men's Pro Diver Col...\u001b[0m\n", + "\u001b[91m106: Guess: $200.00 Truth: $249.00 Error: $49.00 SLE: 0.05 Item: Fast88 Electric Desk Elliptical Machine ...\u001b[0m\n", + "\u001b[91m107: Guess: $299.00 Truth: $569.00 Error: $270.00 SLE: 0.41 Item: Ultrak L10 Series Timer with Printer - O...\u001b[0m\n", + "\u001b[91m108: Guess: $50.00 Truth: $85.69 Error: $35.69 SLE: 0.28 Item: Greenes 36 in. L x 18 in. H Wood White G...\u001b[0m\n", + "\u001b[91m109: Guess: $35.00 Truth: $57.99 Error: $22.99 SLE: 0.24 Item: CHUNGEBS Motion Activated Candy Dispense...\u001b[0m\n", + "\u001b[93m110: Guess: $250.00 Truth: $265.99 Error: $15.99 SLE: 0.00 Item: 255/50R19 107H XL GOODYEAR ASSUR WEATHER...\u001b[0m\n", + "\u001b[93m111: Guess: $200.00 Truth: $210.65 Error: $10.65 SLE: 0.00 Item: Quality-Built 15908N Supreme Import Alte...\u001b[0m\n", + "\u001b[91m112: Guess: $850.00 Truth: $812.74 Error: $37.26 SLE: 0.00 Item: S.R. Smith VOLY Swim N Spike Complete Vo...\u001b[0m\n", + "\u001b[91m113: Guess: $189.00 Truth: $112.99 Error: $76.01 SLE: 0.26 Item: 2-Drawer Mirrored Nightstand for Bedroom...\u001b[0m\n", + "\u001b[91m114: Guess: $250.00 Truth: $373.07 Error: $123.07 SLE: 0.16 Item: Timbren FER35092LB Suspension Enhancemen...\u001b[0m\n", + "\u001b[92m115: Guess: $315.00 Truth: $311.00 Error: $4.00 SLE: 0.00 Item: Crosley Furniture Compact Kitchen Island...\u001b[0m\n", + "\u001b[93m116: Guess: $179.00 Truth: $191.18 Error: $12.18 SLE: 0.00 Item: Prepac Corner Hall Tree, White\u001b[0m\n", + "\u001b[92m117: Guess: $70.00 Truth: $61.99 Error: $8.01 SLE: 0.01 Item: Donnelly Sports Strada USH Tire - 700 x ...\u001b[0m\n", + "\u001b[91m118: Guess: $120.00 Truth: $144.90 Error: $24.90 SLE: 0.04 Item: ELITE ECP22 Pool Cue Case\u001b[0m\n", + "\u001b[93m119: Guess: $650.00 Truth: $639.99 Error: $10.01 SLE: 0.00 Item: 3760 Piece Bolt Bin Kit Grade 8 Nut Bolt...\u001b[0m\n", + "\u001b[91m120: Guess: $349.00 Truth: $313.64 Error: $35.36 SLE: 0.01 Item: GDFStudio Halley Outdoor Reclining Wood ...\u001b[0m\n", + "\u001b[91m121: Guess: $340.00 Truth: $221.37 Error: $118.63 SLE: 0.18 Item: Lenovo Thinkcentre M93p SFF Business Des...\u001b[0m\n", + "\u001b[91m122: Guess: $600.00 Truth: $576.01 Error: $23.99 SLE: 0.00 Item: Wasp 633808551414 Wasptime RF200 RFID Ti...\u001b[0m\n", + "\u001b[91m123: Guess: $600.00 Truth: $82.22 Error: $517.78 SLE: 3.91 Item: Drinking Cup, 5 oz. [Case of 2500]\u001b[0m\n", + "\u001b[91m124: Guess: $350.00 Truth: $490.00 Error: $140.00 SLE: 0.11 Item: Seiko Men's SNAE57 Black Dial Watch\u001b[0m\n", + "\u001b[93m125: Guess: $350.00 Truth: $362.84 Error: $12.84 SLE: 0.00 Item: Control Arm Front Upper & Lower Kit Set ...\u001b[0m\n", + "\u001b[92m126: Guess: $580.00 Truth: $578.00 Error: $2.00 SLE: 0.00 Item: Truhart Street Plus Coilovers 1997-2001 ...\u001b[0m\n", + "\u001b[91m127: Guess: $895.00 Truth: $479.00 Error: $416.00 SLE: 0.39 Item: Small Block Chevy Serpentine System for ...\u001b[0m\n", + "\u001b[91m128: Guess: $200.00 Truth: $165.99 Error: $34.01 SLE: 0.03 Item: Diophros Power Tower Pull Up Bar, Adjust...\u001b[0m\n", + "\u001b[91m129: Guess: $240.00 Truth: $174.99 Error: $65.01 SLE: 0.10 Item: Topeakmart Shoe Rack Storage Cabinet She...\u001b[0m\n", + "\u001b[91m130: Guess: $150.00 Truth: $204.99 Error: $54.99 SLE: 0.10 Item: Steering Wheel, for Beetle 62-71, Ghia 6...\u001b[0m\n", + "\u001b[91m131: Guess: $80.00 Truth: $137.00 Error: $57.00 SLE: 0.28 Item: Maxxis M7305 Rear 100/100-18 Maxxcross I...\u001b[0m\n", + "\u001b[91m132: Guess: $240.00 Truth: $388.23 Error: $148.23 SLE: 0.23 Item: R1 Concepts Front Rear Brakes and Rotors...\u001b[0m\n", + "\u001b[91m133: Guess: $850.00 Truth: $325.00 Error: $525.00 SLE: 0.92 Item: HP Z640 Tower Server - Intel Xeon E5-264...\u001b[0m\n", + "\u001b[91m134: Guess: $650.00 Truth: $849.00 Error: $199.00 SLE: 0.07 Item: Hanover HANGRNHSP8X6-GRN 8 x 6-Ft. Polyc...\u001b[0m\n", + "\u001b[91m135: Guess: $400.00 Truth: $420.27 Error: $20.27 SLE: 0.00 Item: Movie Masterpiece : Iron Man 3 Iron Man ...\u001b[0m\n", + "\u001b[91m136: Guess: $499.00 Truth: $576.95 Error: $77.95 SLE: 0.02 Item: Thumpr NSR Cam for '09+ Dodge 5.7/6.4L H...\u001b[0m\n", + "\u001b[91m137: Guess: $299.00 Truth: $355.65 Error: $56.65 SLE: 0.03 Item: Office Accents 72\"W x 40\"H Rolling Rever...\u001b[0m\n", + "\u001b[91m138: Guess: $600.00 Truth: $371.99 Error: $228.01 SLE: 0.23 Item: Raptor Series Running Boards Steps 5in O...\u001b[0m\n", + "\u001b[91m139: Guess: $599.00 Truth: $669.99 Error: $70.99 SLE: 0.01 Item: Micro Center Intel Core i7-13700K Deskto...\u001b[0m\n", + "\u001b[91m140: Guess: $240.00 Truth: $138.00 Error: $102.00 SLE: 0.30 Item: 3-5 Birthstones Family Mothers Ring 10k ...\u001b[0m\n", + "\u001b[91m141: Guess: $499.00 Truth: $197.98 Error: $301.02 SLE: 0.85 Item: Standing Desk Walking Pad Treadmill with...\u001b[0m\n", + "\u001b[93m142: Guess: $850.00 Truth: $869.99 Error: $19.99 SLE: 0.00 Item: Greatime Storage Bed, Eastern King Size ...\u001b[0m\n", + "\u001b[93m143: Guess: $15.99 Truth: $4.29 Error: $11.70 SLE: 1.36 Item: PrimeMed Self-Adhesive Skived Dancer Pad...\u001b[0m\n", + "\u001b[93m144: Guess: $650.00 Truth: $638.62 Error: $11.38 SLE: 0.00 Item: YITHOPI 2-Seater Sofa Brown Real Goat Le...\u001b[0m\n", + "\u001b[91m145: Guess: $699.00 Truth: $362.75 Error: $336.25 SLE: 0.43 Item: East West Furniture Antique 5 Piece Dini...\u001b[0m\n", + "\u001b[91m146: Guess: $240.00 Truth: $174.20 Error: $65.80 SLE: 0.10 Item: Mean Well SE-1000-48 AC/DC Power Supply,...\u001b[0m\n", + "\u001b[91m147: Guess: $150.00 Truth: $262.99 Error: $112.99 SLE: 0.31 Item: Coaster Furniture Twin Blue Marjorie Met...\u001b[0m\n", + "\u001b[91m148: Guess: $35.00 Truth: $72.59 Error: $37.59 SLE: 0.51 Item: A-Tech 8GB KIT (2 x 4GB) for HP Compaq G...\u001b[0m\n", + "\u001b[91m149: Guess: $350.00 Truth: $449.99 Error: $99.99 SLE: 0.06 Item: AEM (21-8200DC) Brute Force Air Intake S...\u001b[0m\n", + "\u001b[91m150: Guess: $600.00 Truth: $699.99 Error: $99.99 SLE: 0.02 Item: Gold Tone CC-100R Cripple Creek Banjo wi...\u001b[0m\n", + "\u001b[93m151: Guess: $45.00 Truth: $27.99 Error: $17.01 SLE: 0.21 Item: Cestus Brutus HD, Level A7 Cut Resistant...\u001b[0m\n", + "\u001b[91m152: Guess: $189.00 Truth: $72.99 Error: $116.01 SLE: 0.89 Item: Ecomerr Electric Meat Slicer for Home Us...\u001b[0m\n", + "\u001b[91m153: Guess: $240.00 Truth: $206.69 Error: $33.31 SLE: 0.02 Item: LEDMyplace 22W 4ft T8 LED Tube/Bulb, 308...\u001b[0m\n", + "\u001b[91m154: Guess: $200.00 Truth: $303.00 Error: $103.00 SLE: 0.17 Item: Innovative Marine Aquarium Stands APS (A...\u001b[0m\n", + "\u001b[91m155: Guess: $450.00 Truth: $419.98 Error: $30.02 SLE: 0.00 Item: 33 Farmhouse Kitchen Sink - Enbol 33x21 ...\u001b[0m\n", + "\u001b[91m156: Guess: $189.00 Truth: $152.50 Error: $36.50 SLE: 0.05 Item: 14 Pcs Complete Front Suspension Control...\u001b[0m\n", + "\u001b[91m157: Guess: $600.00 Truth: $217.71 Error: $382.29 SLE: 1.02 Item: Sauder Shoal Creek Display Cabinet, Indi...\u001b[0m\n", + "\u001b[91m158: Guess: $79.95 Truth: $34.95 Error: $45.00 SLE: 0.66 Item: SlickMod Chrome Delete Blackout Vinyl Ov...\u001b[0m\n", + "\u001b[91m159: Guess: $299.99 Truth: $619.98 Error: $319.99 SLE: 0.52 Item: ZGNBSD Makeup Vanity - Vanity Desk with ...\u001b[0m\n", + "\u001b[92m160: Guess: $65.00 Truth: $65.00 Error: $0.00 SLE: 0.00 Item: Brixton Women's Joanna Straw Sun Hat\u001b[0m\n", + "\u001b[91m161: Guess: $699.00 Truth: $301.00 Error: $398.00 SLE: 0.71 Item: Savio Livingponds 4000 GPH Pressure Filt...\u001b[0m\n", + "\u001b[92m162: Guess: $249.00 Truth: $246.90 Error: $2.10 SLE: 0.00 Item: Yealink BH72 Bluetooth Headset Wireless ...\u001b[0m\n", + "\u001b[91m163: Guess: $650.00 Truth: $599.99 Error: $50.01 SLE: 0.01 Item: Mighty Mule MM372W Automatic Gate Opener...\u001b[0m\n", + "\u001b[93m164: Guess: $189.99 Truth: $177.99 Error: $12.00 SLE: 0.00 Item: Wilson Electronics Single Antenna Expans...\u001b[0m\n", + "\u001b[91m165: Guess: $699.00 Truth: $799.00 Error: $100.00 SLE: 0.02 Item: Electric Scooter 1000W/600W/500W, 28-34M...\u001b[0m\n", + "\u001b[91m166: Guess: $220.00 Truth: $141.46 Error: $78.54 SLE: 0.19 Item: Lion Steel SR22 Framelock Black Satin LS...\u001b[0m\n", + "\u001b[91m167: Guess: $200.00 Truth: $151.39 Error: $48.61 SLE: 0.08 Item: Safariland 6004 Black Sig P225, P228, P2...\u001b[0m\n", + "\u001b[91m168: Guess: $350.00 Truth: $383.99 Error: $33.99 SLE: 0.01 Item: Power Stop K2260 Front and Rear Z23 Carb...\u001b[0m\n", + "\u001b[91m169: Guess: $240.00 Truth: $330.99 Error: $90.99 SLE: 0.10 Item: Stetson Women's Dakota Western Boot\u001b[0m\n", + "\u001b[92m170: Guess: $25.00 Truth: $16.95 Error: $8.05 SLE: 0.14 Item: South Horizon GO Away T-Shirt\u001b[0m\n", + "\u001b[93m171: Guess: $30.00 Truth: $14.10 Error: $15.90 SLE: 0.52 Item: FIFA Men's Standard WWC France 2019 Wome...\u001b[0m\n", + "\u001b[92m172: Guess: $85.00 Truth: $94.39 Error: $9.39 SLE: 0.01 Item: Wera BC BR 30 Universal Bit Ratchet (Zyk...\u001b[0m\n", + "\u001b[91m173: Guess: $399.95 Truth: $429.99 Error: $30.04 SLE: 0.01 Item: Traxxas Rustler 4x4 VXL, Brushless RC Tr...\u001b[0m\n", + "\u001b[91m174: Guess: $450.00 Truth: $705.00 Error: $255.00 SLE: 0.20 Item: Early 2016 Apple MacBook with 1,2 GHz In...\u001b[0m\n", + "\u001b[91m175: Guess: $249.00 Truth: $199.00 Error: $50.00 SLE: 0.05 Item: Douchebags The Carryall 65l\u001b[0m\n", + "\u001b[91m176: Guess: $280.00 Truth: $314.95 Error: $34.95 SLE: 0.01 Item: MARTHA STEWART Living and Learning Kids'...\u001b[0m\n", + "\u001b[91m177: Guess: $150.00 Truth: $181.65 Error: $31.65 SLE: 0.04 Item: ClearStream 4V Indoor/Outdoor HDTV Anten...\u001b[0m\n", + "\u001b[91m178: Guess: $240.00 Truth: $341.70 Error: $101.70 SLE: 0.12 Item: Callahan Front 324mm and Rear 330mm Dril...\u001b[0m\n", + "\u001b[91m179: Guess: $600.00 Truth: $306.93 Error: $293.07 SLE: 0.45 Item: Innovative Mounts 50110 Traction Bar Kit...\u001b[0m\n", + "\u001b[91m180: Guess: $95.00 Truth: $54.99 Error: $40.01 SLE: 0.29 Item: Nikon FM3A Case, BolinUS Handmade Genuin...\u001b[0m\n", + "\u001b[91m181: Guess: $150.00 Truth: $124.90 Error: $25.10 SLE: 0.03 Item: Las Vegas \"Fabulous Las Vegas\" Padded Sw...\u001b[0m\n", + "\u001b[91m182: Guess: $75.00 Truth: $165.61 Error: $90.61 SLE: 0.62 Item: D-arts Rokusho (12 cm PVC figure) Bandai...\u001b[0m\n", + "\u001b[91m183: Guess: $200.00 Truth: $331.00 Error: $131.00 SLE: 0.25 Item: Crossrock Lightweight Case for 4/4 Full ...\u001b[0m\n", + "\u001b[91m184: Guess: $350.00 Truth: $315.00 Error: $35.00 SLE: 0.01 Item: Genuine Mercedes-Benz Lower Cover 204-91...\u001b[0m\n", + "\u001b[93m185: Guess: $55.00 Truth: $73.50 Error: $18.50 SLE: 0.08 Item: Chi Mei N133bge-l31 Replacement LAPTOP L...\u001b[0m\n", + "\u001b[91m186: Guess: $500.00 Truth: $649.00 Error: $149.00 SLE: 0.07 Item: New Mustang Motorcycle Seat - 2002-2008 ...\u001b[0m\n", + "\u001b[93m187: Guess: $575.00 Truth: $590.00 Error: $15.00 SLE: 0.00 Item: Bric's LIFE 22-Inch Cargo Duffle Bag - L...\u001b[0m\n", + "\u001b[92m188: Guess: $600.00 Truth: $599.99 Error: $0.01 SLE: 0.00 Item: Casa AndreaMilano 3 Piece Microfiber and...\u001b[0m\n", + "\u001b[91m189: Guess: $250.00 Truth: $228.22 Error: $21.78 SLE: 0.01 Item: Mountain Plumbing MT1800-NL/PVDBRN Littl...\u001b[0m\n", + "\u001b[93m190: Guess: $180.00 Truth: $194.95 Error: $14.95 SLE: 0.01 Item: Durango Women's Austin 3 in 1\u001b[0m\n", + "\u001b[92m191: Guess: $329.00 Truth: $329.00 Error: $0.00 SLE: 0.00 Item: QNAP TR-004U 1U 4 Bay Hard Drive Enclosu...\u001b[0m\n", + "\u001b[92m192: Guess: $15.99 Truth: $22.49 Error: $6.50 SLE: 0.10 Item: Gamakatsu 25 Pack EWG Offset Worm Hook\u001b[0m\n", + "\u001b[92m193: Guess: $48.99 Truth: $49.99 Error: $1.00 SLE: 0.00 Item: Benchmark Abrasives 7\" x 7/8\" Premium Hi...\u001b[0m\n", + "\u001b[91m194: Guess: $135.00 Truth: $175.64 Error: $40.64 SLE: 0.07 Item: Delphi HP10017 Fuel Pump and Hanger Asse...\u001b[0m\n", + "\u001b[91m195: Guess: $150.00 Truth: $114.95 Error: $35.05 SLE: 0.07 Item: YaeMarine 2 Steps Boat Out-Board Swim La...\u001b[0m\n", + "\u001b[91m196: Guess: $759.00 Truth: $800.00 Error: $41.00 SLE: 0.00 Item: Karman Healthcare S-2501F16SS-TP Ergonom...\u001b[0m\n", + "\u001b[91m197: Guess: $399.00 Truth: $236.27 Error: $162.73 SLE: 0.27 Item: Bme Dinkee 15 Inch Signature Bed Frame W...\u001b[0m\n", + "\u001b[92m198: Guess: $449.00 Truth: $449.99 Error: $0.99 SLE: 0.00 Item: Leupold DeltaPoint Pro Reflex Sight\u001b[0m\n", + "\u001b[93m199: Guess: $850.00 Truth: $839.00 Error: $11.00 SLE: 0.00 Item: Angara Natural Blue Sapphire Heart Penda...\u001b[0m\n", + "\u001b[91m200: Guess: $240.00 Truth: $202.50 Error: $37.50 SLE: 0.03 Item: Outlaw Cues Pool Cue with Black Bumper W...\u001b[0m\n", + "\u001b[91m201: Guess: $800.00 Truth: $532.00 Error: $268.00 SLE: 0.17 Item: Rev9 R9-HS2-089 Hyper-Street II Coilover...\u001b[0m\n", + "\u001b[92m202: Guess: $265.00 Truth: $257.98 Error: $7.02 SLE: 0.00 Item: Teraflex Dana 44 HD Differential Cover C...\u001b[0m\n", + "\u001b[91m203: Guess: $240.00 Truth: $451.69 Error: $211.69 SLE: 0.40 Item: Beverage Air 502-431D-03 Control - Dixel\u001b[0m\n", + "\u001b[91m204: Guess: $350.00 Truth: $407.79 Error: $57.79 SLE: 0.02 Item: Dayton 1XJX7 Blower, Degrees_Fahrenheit,...\u001b[0m\n", + "\u001b[91m205: Guess: $240.00 Truth: $418.34 Error: $178.34 SLE: 0.31 Item: Turning Point 31501730 Express Stainless...\u001b[0m\n", + "\u001b[92m206: Guess: $329.00 Truth: $334.95 Error: $5.95 SLE: 0.00 Item: Zildjian K Custom Hybrid Crash Cymbal - ...\u001b[0m\n", + "\u001b[91m207: Guess: $85.00 Truth: $119.99 Error: $34.99 SLE: 0.12 Item: Canon PowerShot SX150 IS 14.1 MP Digital...\u001b[0m\n", + "\u001b[91m208: Guess: $600.00 Truth: $444.00 Error: $156.00 SLE: 0.09 Item: 26” Ukulele Black w/Freeboost Electronic...\u001b[0m\n", + "\u001b[91m209: Guess: $189.00 Truth: $260.99 Error: $71.99 SLE: 0.10 Item: Nuheat F1506 Under Floor Heating Mat 120...\u001b[0m\n", + "\u001b[91m210: Guess: $280.00 Truth: $235.99 Error: $44.01 SLE: 0.03 Item: Tangkula Wicker Rocking Chair, Outdoor G...\u001b[0m\n", + "\u001b[91m211: Guess: $499.00 Truth: $539.99 Error: $40.99 SLE: 0.01 Item: DreamLine Visions 56-60 in. W x 58 in. H...\u001b[0m\n", + "\u001b[91m212: Guess: $240.00 Truth: $86.02 Error: $153.98 SLE: 1.04 Item: Lenox RX+ Vari-Raker Band Saw Blade, Bim...\u001b[0m\n", + "\u001b[91m213: Guess: $450.00 Truth: $399.90 Error: $50.10 SLE: 0.01 Item: Compatible with 2002 2003 2004 2005 2006...\u001b[0m\n", + "\u001b[91m214: Guess: $600.00 Truth: $320.00 Error: $280.00 SLE: 0.39 Item: Volcom ELM Stretch Gore Bib Overall\u001b[0m\n", + "\u001b[93m215: Guess: $150.00 Truth: $162.95 Error: $12.95 SLE: 0.01 Item: 5KCP39FGY563S - GE Replacement Condenser...\u001b[0m\n", + "\u001b[93m216: Guess: $15.00 Truth: $4.99 Error: $10.01 SLE: 0.97 Item: BYB Jewelry Pair of 2 Dangling Skull Fak...\u001b[0m\n", + "\u001b[91m217: Guess: $300.00 Truth: $200.54 Error: $99.46 SLE: 0.16 Item: Dell Optiplex 990 Desktop Computer - Int...\u001b[0m\n", + "\u001b[91m218: Guess: $349.99 Truth: $183.41 Error: $166.58 SLE: 0.41 Item: AEM 21-832C Cold Air Intake System\u001b[0m\n", + "\u001b[91m219: Guess: $816.00 Truth: $655.62 Error: $160.38 SLE: 0.05 Item: Erica Synths Drum Sequencer Eurorack Mod...\u001b[0m\n", + "\u001b[91m220: Guess: $240.00 Truth: $596.74 Error: $356.74 SLE: 0.83 Item: Winholt WHSS-1 Table Model Film Wrappers...\u001b[0m\n", + "\u001b[92m221: Guess: $168.00 Truth: $177.64 Error: $9.64 SLE: 0.00 Item: Dooney & Bourke Ostrich Continental Clut...\u001b[0m\n", + "\u001b[91m222: Guess: $240.00 Truth: $343.99 Error: $103.99 SLE: 0.13 Item: Power Stop CRK6958 Coated Brake Rotor an...\u001b[0m\n", + "\u001b[91m223: Guess: $299.00 Truth: $541.09 Error: $242.09 SLE: 0.35 Item: KOHLER K-8459-0 Rely Single-Threshold Sh...\u001b[0m\n", + "\u001b[91m224: Guess: $299.00 Truth: $499.99 Error: $200.99 SLE: 0.26 Item: MANTELSDIRECT Titus Metal Stainless Stee...\u001b[0m\n", + "\u001b[91m225: Guess: $199.00 Truth: $235.00 Error: $36.00 SLE: 0.03 Item: Body-Solid Powerline PPA13X PEC Attachme...\u001b[0m\n", + "\u001b[91m226: Guess: $89.00 Truth: $244.99 Error: $155.99 SLE: 1.01 Item: Lifetime 480074 Contemporary Folding Cha...\u001b[0m\n", + "\u001b[91m227: Guess: $240.00 Truth: $173.25 Error: $66.75 SLE: 0.11 Item: Fowler 54-860-211 Electronic IP54 Ball-A...\u001b[0m\n", + "\u001b[91m228: Guess: $600.00 Truth: $314.00 Error: $286.00 SLE: 0.42 Item: Spyder Auto 5079985 LED Tail Lights Blac...\u001b[0m\n", + "\u001b[91m229: Guess: $200.00 Truth: $468.48 Error: $268.48 SLE: 0.72 Item: Wiseco WK1313 84.50 mm 2-Stroke Watercra...\u001b[0m\n", + "\u001b[91m230: Guess: $850.00 Truth: $928.47 Error: $78.47 SLE: 0.01 Item: Moen 900-002 Flo by Moen 1-1/4-Inch Smar...\u001b[0m\n", + "\u001b[91m231: Guess: $600.00 Truth: $427.49 Error: $172.51 SLE: 0.11 Item: Christopher Knight Home Panama Outdoor A...\u001b[0m\n", + "\u001b[93m232: Guess: $15.00 Truth: $33.99 Error: $18.99 SLE: 0.61 Item: Cranium Brain Breaks Game\u001b[0m\n", + "\u001b[91m233: Guess: $299.00 Truth: $365.00 Error: $66.00 SLE: 0.04 Item: Top Case - Aluminum Top Case - BMW/KTM/Y...\u001b[0m\n", + "\u001b[92m234: Guess: $85.00 Truth: $88.00 Error: $3.00 SLE: 0.00 Item: 58x84\" Rectangular Versailles Blue Cotto...\u001b[0m\n", + "\u001b[91m235: Guess: $600.00 Truth: $440.00 Error: $160.00 SLE: 0.10 Item: Dell i3552-3240BLK 15.6\" HD Laptop (Inte...\u001b[0m\n", + "\u001b[91m236: Guess: $575.00 Truth: $468.00 Error: $107.00 SLE: 0.04 Item: Meyda Tiffany 21211 Moravian Star Pendan...\u001b[0m\n", + "\u001b[93m237: Guess: $35.00 Truth: $21.99 Error: $13.01 SLE: 0.20 Item: Cycling Jersey Men Bike Tops Bicycle Jer...\u001b[0m\n", + "\u001b[91m238: Guess: $599.00 Truth: $719.00 Error: $120.00 SLE: 0.03 Item: Godox VL300 300w New LED Lights,5600K Da...\u001b[0m\n", + "\u001b[91m239: Guess: $160.00 Truth: $230.02 Error: $70.02 SLE: 0.13 Item: La Sportiva Ultra Raptor Mountain Runnin...\u001b[0m\n", + "\u001b[93m240: Guess: $25.00 Truth: $35.85 Error: $10.85 SLE: 0.12 Item: UpBright 2-Prong 29V AC/DC Adapter Compa...\u001b[0m\n", + "\u001b[93m241: Guess: $240.00 Truth: $254.25 Error: $14.25 SLE: 0.00 Item: Ross-Simons Sterling Silver and 14kt Yel...\u001b[0m\n", + "\u001b[93m242: Guess: $85.00 Truth: $96.03 Error: $11.03 SLE: 0.01 Item: RAREELECTRICAL NEW RIGHT TAIL LIGHT COMP...\u001b[0m\n", + "\u001b[91m243: Guess: $950.00 Truth: $789.99 Error: $160.01 SLE: 0.03 Item: Stetsom EX 10500 EQ 2 Ohm Mono Car Audio...\u001b[0m\n", + "\u001b[91m244: Guess: $350.00 Truth: $234.00 Error: $116.00 SLE: 0.16 Item: Microsoft Surface Pro 4 128 GB, 4 GB RAM...\u001b[0m\n", + "\u001b[91m245: Guess: $150.00 Truth: $183.60 Error: $33.60 SLE: 0.04 Item: POOL CHLORINE GRAN 25#\u001b[0m\n", + "\u001b[92m246: Guess: $200.00 Truth: $198.49 Error: $1.51 SLE: 0.00 Item: Disposable Plastic Party Package, Elegan...\u001b[0m\n", + "\u001b[91m247: Guess: $25.00 Truth: $49.95 Error: $24.95 SLE: 0.45 Item: ViewMaster 3 Reel Set HORSES - 21 3D Pic...\u001b[0m\n", + "\u001b[92m248: Guess: $45.00 Truth: $40.76 Error: $4.24 SLE: 0.01 Item: Aquacel Foam Dressing by Convatec ( Dres...\u001b[0m\n", + "\u001b[93m249: Guess: $329.00 Truth: $312.03 Error: $16.97 SLE: 0.00 Item: FONTOI Futon Sofa Bed Memory Foam Couch ...\u001b[0m\n", + "\u001b[91m250: Guess: $430.00 Truth: $584.87 Error: $154.87 SLE: 0.09 Item: Blue Ox BX1124 Base Plate for Jeep Wrang...\u001b[0m\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "runner = TestRunner(gpt_predictor, test, \"GPT-4o-mini Prediction Accuracy\").run()" + ] + }, + { + "cell_type": "code", + "execution_count": 113, + "id": "38c882fd-fc7b-4c01-af89-77229ef10d1d", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "runner.title = \"GPT-4o Frontier 2024-08-06\"\n", + "runner.report()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f7e24d6b-59a2-464a-95a9-14a9fbfadd4d", + "metadata": {}, + "outputs": [], + "source": [ + "report(train[1])" + ] + }, + { + "cell_type": "code", + "execution_count": 114, + "id": "059b6c74-917f-4cb1-b810-ce70735a57be", + "metadata": {}, + "outputs": [], + "source": [ + "train_prompts = [item.prompt for item in train]\n", + "train_prices = [item.price for item in train]\n", + "test_prompts = [item.test_prompt() for item in test]\n", + "test_prices = [item.price for item in test]" + ] + }, + { + "cell_type": "code", + "execution_count": 116, + "id": "b8ba48cb-da5e-4ddb-8955-8a94e62ea8e0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'<|begin_of_text|><|start_header_id|>system<|end_header_id|>\\n\\nYou estimate prices to the nearest dollar<|eot_id|><|start_header_id|>user<|end_header_id|>\\n\\nHow much is this?\\nEast West Furniture ESPO3-OAK-W Eden 3 Piece Room Furniture Set Contains a Round Kitchen Table with Pedestal and 2 Dining Chairs, 30x30 Inch, Oak EAST WEST FURNITURE - ESPO3-OAK-W - 3-PC DINETTE SET This dinette set includes 2 wooden dining room chairs and 1 Round table. This dining room table has a Round table top and Pedestal Legs. The solid wood frame and back ensure that these mid century wooden chairs sturdiness and offers decent support to your back, in addition to their ideal size these Urban Style chairs are trouble free to assemble and easy to rearrange. These simple but charming<|eot_id|><|start_header_id|>assistant<|end_header_id|>\\n\\nPrice is $277.00<|eot_id|>'" + ] + }, + "execution_count": 116, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train_prompts[1]" + ] + }, + { + "cell_type": "code", + "execution_count": 117, + "id": "f9ee2e90-79b6-4232-b955-b1c67bc3d600", + "metadata": {}, + "outputs": [], + "source": [ + "# Create a Dataset from the lists\n", + "train_dataset = Dataset.from_dict({\"text\": train_prompts, \"price\": train_prices})\n", + "test_dataset = Dataset.from_dict({\"text\": test_prompts, \"price\": test_prices})\n", + "dataset = DatasetDict({\n", + " \"train\": train_dataset,\n", + " \"test\": test_dataset\n", + "})" + ] + }, + { + "cell_type": "code", + "execution_count": 119, + "id": "e69e26a5-4b24-4e0f-8944-731c534b285b", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "64ded3d4b7d74888bcb8168b5f7e9f6d", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Uploading the dataset shards: 0%| | 0/1 [00:00Question: how much does this cost to the nearest dollar?\n", + "\n", + "Title: Tan Sand Beige - Butterfly Boho Insect Flower PopSockets Swappable PopGrip\n", + "Details: PopGrip with swappable top; switch out your PopTop for another design or remove it completely for wireless charging capabilities. (Not compatible with Apple MagSafe wireless charger or MagSafe wallet.) Expandable stand to watch videos, take group photos, FaceTime, and Skype handsfree. Advanced adhesive allows you to remove and reposition on most devices and cases. Note Will not stick to some silicone, waterproof, or highly textured cases. Works best with smooth, hard plastic cases. Will adhere to iPhone 11, but not to the iPhone 11 Pro nor the iPhone 11 ProMax without a suitable case. Dimensions 4.3 x 3.4 x 0.3 inches, Weight 0.48 ounces, model number 260027, Rank Cell Phones & Accessories 764029, Cell Phone Stands 79752, Special features Expandable,Waterproof,Wireless Charger,Wireless Charging, Other display features Wireless, Color Black, Whats in the box PopSockets, Manufacturer PopSockets, Available July 24, 2022, Brand Tan Sand Beige Butterfly Boho Floral, Special Feature Expandable,Waterproof,Wireless Charger,Wireless Charging, Installation Type Swappable Top, Grip Type Pop Grip\n", + "\n", + "Answer: Price is $15.00<|end_of_text|>\n" + ] + } + ], + "source": [ + "# Let's investigate:\n", + "\n", + "print(f\"There are {len(items):,} items with prices\\n\")\n", + "print(items[5000000].prompt)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "fcf74830-1e97-4543-b454-eefd314fc106", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Average length is 1,404.6 and highest length is 2,307\n", + "\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the distribution of character count\n", + "\n", + "lengths = [len(item.prompt) for item in items]\n", + "fig, ax = plt.subplots(1, 1)\n", + "ax.set_xlabel('Length')\n", + "ax.set_ylabel('Count of items');\n", + "_ = ax.hist(lengths, rwidth=0.7, color=\"lightblue\", bins=range(0, 1000, 50))\n", + "\n", + "print(f\"Average length is {sum(lengths)/len(lengths):,.1f} and highest length is {max(lengths):,}\\n\")" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "d5dde349-610a-4e96-a2ea-9178a9c1fa2a", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the distribution of tokens\n", + "\n", + "token_counts = [item.token_count for item in items]\n", + "fig, ax = plt.subplots(1, 1)\n", + "ax.set_xlabel('Number of tokens')\n", + "ax.set_ylabel('Count of items');\n", + "_ = ax.hist(token_counts, rwidth=0.7, color=\"orange\", bins=range(0, 200, 10))" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "da0a20b4-8926-4eff-bf83-11c4f6b40455", + "metadata": {}, + "outputs": [], + "source": [ + "def report(item):\n", + " prompt = item.prompt\n", + " tokens = Item.tokenizer.encode(item.prompt)\n", + " print(prompt)\n", + " print(tokens[-10:])\n", + " print(Item.tokenizer.batch_decode(tokens[-10:]))" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "2378cb92-305a-49d0-8193-4ae09a0cccf8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "<|begin_of_text|>Question: how much does this cost to the nearest dollar?\n", + "\n", + "Title: SAS Women's, Relaxed Sandal\n", + "Details: Unwind, leave your worries behind, and simply relax and enjoy the comfort of the versatile Relaxed sandal. Premium leather uppers in a casual sandal silhouette. Offers three-point adjustability with durable buckles at each strap. Features Ultra-Puff(TM) cushioned linings that protect the foot with Super Soft topline construction that eliminates harsh edges against the foot Made in the USA Suede sole Heel measures approximately 1.5 inches COMFY FOOTWEAR Unwind, leave your worries behind, and simply relax and enjoy the comfort of the versatile SAS Relaxed sandal with pemium leather uppers in a casual sandal silhouette CUSHION LININGS It features Ultra-Puff cushioned linings that protect the foot with Super Soft topline construction eliminating harsh edges against the foot SHOCK ABSORPTION A broad, contoured footbed features soft Super Suede linings that molds to the natural arches and curves of your foot for maximum comfort and shock absorption QUALITY BUILD It offers multi-layered Tripad cushions designed to comfort all three pressure points the inside ball, outside ball and heel for all-day support ADJUSTABLE CLOSURE SAS sandal features three-point adjustability with durable buckles at each strap while a shock-absorbing wide outsole contours and rebounds with every step Dimensions 10 x 15 x 6 inches; 2 Pounds, model number 1570-891, Department womens, Available March 22, 2017, Manufacturer SAS\n", + "\n", + "Answer: Price is $189.00<|end_of_text|>\n", + "[271, 16533, 25, 8650, 374, 400, 9378, 13, 410, 128001]\n", + "['\\n\\n', 'Answer', ':', ' Price', ' is', ' $', '189', '.', '00', '<|end_of_text|>']\n" + ] + } + ], + "source": [ + "report(items[0])" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "50d88feb-d0ee-4abf-a013-7d11a7e4e2cd", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Average price is $51.13 and highest price is $999.49\n", + "\n" + ] + }, + { + "data": { + "image/png": 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WViouLk4dOnTwRn0AAACW8HimZ8aMGTp79qxiYmJ0//3364EHHlCHDh107tw5zZgxwxs1AgAAXDWPQ8/06dNdz+b5qbNnz2r69OmWFAUAAGA1j0OPMUYOh6NK+xdffKEWLVp49F2bN2/W4MGDFRERIYfDodWrV1+2/6ZNm+RwOKose/fu9Wi/AADAfmp9Tc91113nChk33nijW/CpqKjQ6dOnlZKS4tHOz5w5o27duunRRx/V0KFDa73dvn371Lx5c9fn1q1be7RfAABgP7UOPenp6TLGaMyYMZo+fbqcTqdrXePGjRUVFaXExESPdn7XXXfprrvu8mgbSQoJCdG1117r8XYAAMC+ah16fny7enR0tHr27KmAgACvFfVL4uLidP78eXXu3FnPPfec+vfvX2PfsrIylZWVuT6XlpbWRYkAAKCeqdU1PT8NCnFxcTp37pxKS0urXbwpPDxcCxcuVEZGhlauXKmOHTtqwIAB2rx5c43bzJo1S06n07VERkZ6tUYAAFA/OYwx5pc6+fn5qbCwUCEhIWrUqFG1FzL/eIFzRUXFlRXicGjVqlUaMmSIR9sNHjxYDodDa9asqXZ9dTM9kZGRKikpcbsuyCoOx+xq241Js3xfAADYRWlpqZxO51X9ftfq9NaGDRtcd2Zt3LjxinbkLT169NDy5ctrXB8YGKjAwMA6rAgAANRHtQo9ffv2rfa/64Pc3FyFh4f7ugwAAFDPefwaCiudPn1aBw4ccH0+ePCg8vLy1KJFC7Vr105TpkxRQUGBli1bJunSHWRRUVHq0qWLysvLtXz5cmVkZCgjI8NXhwAAABoIn4ae7du3u915lZqaKunSnWJLly5VYWGhjhw54lpfXl6utLQ0FRQUKDg4WF26dNEHH3yg5OTkOq8dAAA0LLW6kPnXxIoLoS6HC5kBALCeFb/ftbplfc2aNbpw4cIV7QAAAKA+qFXoue+++3Ty5ElJl25fLy4u9mZNAAAAlqtV6GndurU+++wzSTW/cBQAAKA+q9WFzCkpKfrtb3/reuFoWFhYjX2v9OGEAAAA3lSr0DNt2jQ99NBDOnDggO69914tWbKEF34CAIAGpda3rHfq1EmdOnXS1KlTNWzYMF1zzTXerAsAAMBSHj+nZ+rUqZKk77//Xvv27ZPD4dCNN96o1q1bW14cAACAVWp1IfNPnT17VmPGjFFERIT69Omj3r17KyIiQo899pjOnj3rjRoBAACumsehZ9KkScrKytKaNWt08uRJnTx5Un//+9+VlZWlP/7xj96oEQAA4Kp5fHorIyND7777rvr16+dqS05OVnBwsB544AHNnz/fyvoAAAAscUWnt0JDQ6u0h4SEcHoLAADUWx6HnsTERE2dOlXnz593tZ07d07Tp09XYmKipcUBAABYxePTW3/5y180aNAgtW3bVt26dZPD4VBeXp6CgoL04YcfeqNGAACAq+Zx6ImNjdX+/fu1fPly7d27V8YYPfTQQxo+fLiCg4O9UeOvTk1vYpd4GzsAAN7iceiRpODgYD3xxBNW1wIAAOA1Hl/TAwAA0BARegAAgC0QegAAgC0QegAAgC14HHpiYmL0ww8/VGk/efKkYmJiLCkKAADAah6HnkOHDqmioqJKe1lZmQoKCiwpCgAAwGq1vmV9zZo1rv/+8MMP5XQ6XZ8rKir08ccfKyoqytLiAAAArFLr0DNkyBBJksPh0OjRo93WBQQEKCoqSi+//LKlxQEAAFil1qGnsrJSkhQdHa1//OMfatWqldeKAgAAsJrHT2Q+ePCgN+oAAADwqit6DcXHH3+sjz/+WMXFxa4ZoB8tXrzYksIAAACs5HHomT59umbMmKGEhASFh4fL4XB4oy4AAABLeRx6FixYoKVLl2rkyJHeqAcAAMArPH5OT3l5uXr27OmNWgAAALzG49Dz+OOP64033vBGLQAAAF7j8emt8+fPa+HChfroo4908803KyAgwG39nDlzLCsOAADAKh6Hnp07d6p79+6SpN27d7ut46JmAABQX3kcejZu3OiNOgAAALzK42t6AAAAGiKPZ3r69+9/2dNYGzZsuKqCAAAAvMHj0PPj9Tw/unDhgvLy8rR79+4qLyIFAACoLzwOPf/1X/9Vbfu0adN0+vTpqy4IAADAGyy7pmfEiBG8dwsAANRbloWe7OxsBQUFWfV1AAAAlvL49Nbvfvc7t8/GGBUWFmr79u36t3/7N8sKAwAAsJLHocfpdLp9btSokTp27KgZM2YoKSnJssIAAACs5HHoWbJkiTfqAAAA8CqPQ8+PcnJylJ+fL4fDoc6dOysuLs7KugAAACzlcegpLi7WQw89pE2bNunaa6+VMUYlJSXq37+/VqxYodatW3ujTgAAgKvi8d1b48ePV2lpqfbs2aPjx4/rxIkT2r17t0pLS/XUU095o0YAAICr5vFMz7p16/TRRx/ppptucrV17txZr732GhcyAwCAesvjmZ7KykoFBARUaQ8ICFBlZaUlRQEAAFjN49Dzm9/8RhMmTNC3337raisoKNCkSZM0YMAAS4sDAACwiseh59VXX9WpU6cUFRWl66+/XjfccIOio6N16tQpvfLKK96oEQAA4Kp5fE1PZGSkduzYoczMTO3du1fGGHXu3Fl33HGHN+oDAACwxBU/p+fOO+/UnXfeaWUtAAAAXlPr01sbNmxQ586dVVpaWmVdSUmJunTpoi1btlhaHAAAgFVqHXrS09P1xBNPqHnz5lXWOZ1O/cu//IvmzJljaXEAAABWqXXo+eKLLzRo0KAa1yclJSknJ8eSogAAAKxW69Dz3XffVft8nh/5+/vr+++/t6QoAAAAq9U69LRp00a7du2qcf3OnTsVHh7u0c43b96swYMHKyIiQg6HQ6tXr/7FbbKyshQfH6+goCDFxMRowYIFHu0TAADYU61DT3Jysv793/9d58+fr7Lu3Llzmjp1qu655x6Pdn7mzBl169ZNr776aq36Hzx4UMnJyerdu7dyc3P17LPP6qmnnlJGRoZH+wUAAPbjMMaY2nT87rvvdMstt8jPz0/jxo1Tx44d5XA4lJ+fr9dee00VFRXasWOHQkNDr6wQh0OrVq3SkCFDauwzefJkrVmzRvn5+a62lJQUffHFF8rOzq7VfkpLS+V0OlVSUlLtRdlXy+GYXW27MWm/2Ofn/QAAwCVW/H7X+jk9oaGh2rp1q/7whz9oypQp+jErORwODRw4UPPmzbviwFNb2dnZVV5qOnDgQC1atEgXLly47DVHAADA3jx6OGH79u21du1anThxQgcOHJAxRh06dNB1113nrfrcFBUVVQlWoaGhunjxoo4dO1btNUVlZWUqKytzfa7uOUMAAODX74qeyHzdddfp1ltvtbqWWnE4HG6ffzrjVJ1Zs2Zp+vTpXq8LAADUbx6/cNSXwsLCVFRU5NZWXFwsf39/tWzZstptpkyZopKSEtdy9OjRuigVAADUM1f87i1fSExM1HvvvefWtn79eiUkJNR4PU9gYKACAwProjwAAFCP+XSm5/Tp08rLy1NeXp6kS7ek5+Xl6ciRI5IuzdKMGjXK1T8lJUWHDx9Wamqq8vPztXjxYi1atEhpadzxBAAALs+nMz3bt29X//79XZ9TU1MlSaNHj9bSpUtVWFjoCkCSFB0drbVr12rSpEl67bXXFBERoblz52ro0KF1XjsAAGhYfBp6+vXrp8s9Jmjp0qVV2vr27asdO3Z4sSoAAPBr1KAuZAYAALhShB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALhB4AAGALPg898+bNU3R0tIKCghQfH68tW7bU2HfTpk1yOBxVlr1799ZhxQAAoCHyaeh56623NHHiRP3pT39Sbm6uevfurbvuuktHjhy57Hb79u1TYWGha+nQoUMdVQwAABoqn4aeOXPm6LHHHtPjjz+um266Senp6YqMjNT8+fMvu11ISIjCwsJci5+fXx1VDAAAGiqfhZ7y8nLl5OQoKSnJrT0pKUlbt2697LZxcXEKDw/XgAEDtHHjxsv2LSsrU2lpqdsCAADsx2eh59ixY6qoqFBoaKhbe2hoqIqKiqrdJjw8XAsXLlRGRoZWrlypjh07asCAAdq8eXON+5k1a5acTqdriYyMtPQ4AABAw+Dv6wIcDofbZ2NMlbYfdezYUR07dnR9TkxM1NGjRzV79mz16dOn2m2mTJmi1NRU1+fS0lKCDwAANuSzmZ5WrVrJz8+vyqxOcXFxldmfy+nRo4f2799f4/rAwEA1b97cbQEAAPbjs9DTuHFjxcfHKzMz0609MzNTPXv2rPX35ObmKjw83OryAADAr4xPT2+lpqZq5MiRSkhIUGJiohYuXKgjR44oJSVF0qVTUwUFBVq2bJkkKT09XVFRUerSpYvKy8u1fPlyZWRkKCMjw5eHAQAAGgCfhp4HH3xQP/zwg2bMmKHCwkLFxsZq7dq1at++vSSpsLDQ7Zk95eXlSktLU0FBgYKDg9WlSxd98MEHSk5O9tUheI3DMbvGdcak1WElAAD8OjiMMcbXRdSl0tJSOZ1OlZSUeOX6nprCyk+DSm0CDaEHAID/z4rfb5+/hgIAAKAuEHoAAIAtEHoAAIAtEHoAAIAtEHoAAIAtEHoAAIAtEHoAAIAtEHoAAIAtEHoAAIAtEHoAAIAtEHoAAIAtEHoAAIAtEHoAAIAtEHoAAIAtEHoAAIAtEHoAAIAtEHoAAIAtEHoAAIAtEHoAAIAtEHoAAIAtEHoAAIAtEHoAAIAtEHoAAIAtEHoAAIAtEHoAAIAtEHoAAIAtEHoAAIAt+Pu6AFwdh2N2te3GpNVxJQAA1G/M9AAAAFsg9AAAAFsg9AAAAFsg9AAAAFsg9AAAAFsg9AAAAFsg9AAAAFsg9AAAAFsg9AAAAFvgicw2wFObAQBgpgcAANgEoQcAANgCoQcAANgCoQcAANgCoQcAANgCoQcAANgCoQcAANgCoQcAANgCDyeEpJofYCjxEEMAwK8DMz0AAMAWmOmBR3ilBQCgoWKmBwAA2AIzPbAcs0EAgPqImR4AAGALzPTAJ7hbDABQ1wg9qLcIRgAAK3F6CwAA2ILPQ8+8efMUHR2toKAgxcfHa8uWLZftn5WVpfj4eAUFBSkmJkYLFiyoo0oBAEBD5tPTW2+99ZYmTpyoefPm6fbbb9d///d/66677tKXX36pdu3aVel/8OBBJScn64knntDy5cv16aef6sknn1Tr1q01dOhQHxwB6oPa3C12NX1+3g8A0DD5NPTMmTNHjz32mB5//HFJUnp6uj788EPNnz9fs2bNqtJ/wYIFateundLT0yVJN910k7Zv367Zs2cTelAnahuMuG0fAOofn4We8vJy5eTk6JlnnnFrT0pK0tatW6vdJjs7W0lJSW5tAwcO1KJFi3ThwgUFBAR4rV7AalbNPlkZxAhrAH7NfBZ6jh07poqKCoWGhrq1h4aGqqioqNptioqKqu1/8eJFHTt2TOHh4VW2KSsrU1lZmetzSUmJJKm0tPRqD6EG56ttdd9f9X3c+9Wmz9Xtz/Oa6np/1FQfa3I659a4v5KSp2rd53L9rOpDTb6tyUpW7a+2x1ffNNS6rfTjv0PGmCv/EuMjBQUFRpLZunWrW/vMmTNNx44dq92mQ4cO5sUXX3Rr++STT4wkU1hYWO02U6dONZJYWFhYWFhYfgXL0aNHrzh7+Gymp1WrVvLz86syq1NcXFxlNudHYWFh1fb39/dXy5Ytq91mypQpSk1NdX2urKzU8ePH1bJlSzkcjqs8iv+vtLRUkZGROnr0qJo3b27Z96J6jHfdY8zrFuNd9xjzuufJmBtjdOrUKUVERFzx/nwWeho3bqz4+HhlZmbqvvvuc7VnZmbqt7/9bbXbJCYm6r333nNrW79+vRISEmq8nicwMFCBgYFubddee+3VFX8ZzZs353+WOsR41z3GvG4x3nWPMa97tR1zp9N5Vfvx6XN6UlNT9T//8z9avHix8vPzNWnSJB05ckQpKSmSLs3SjBo1ytU/JSVFhw8fVmpqqvLz87V48WItWrRIaWlcZAkAAC7Pp7esP/jgg/rhhx80Y8YMFRYWKjY2VmvXrlX79u0lSYWFhTpy5Iirf3R0tNauXatJkybptddeU0REhObOncvt6gAA4Bf5/N1bTz75pJ588slq1y1durRKW9++fbVjxw4vV+W5wMBATZ06tcqpNHgH4133GPO6xXjXPca87tX1mDuMuZp7vwAAABoGn797CwAAoC4QegAAgC0QegAAgC0Qeiwwb948RUdHKygoSPHx8dqyZYuvS2qQZs2apVtvvVXNmjVTSEiIhgwZon379rn1McZo2rRpioiIUHBwsPr166c9e/a49SkrK9P48ePVqlUrNWnSRPfee6/+7//+ry4PpUGaNWuWHA6HJk6c6GpjvK1XUFCgESNGqGXLlrrmmmvUvXt35eTkuNYz5ta6ePGinnvuOUVHRys4OFgxMTGaMWOGKisrXX0Y8yu3efNmDR48WBEREXI4HFq9erXbeqvG9sSJExo5cqScTqecTqdGjhypkydPel7wFT/LGcYYY1asWGECAgLMX//6V/Pll1+aCRMmmCZNmpjDhw/7urQGZ+DAgWbJkiVm9+7dJi8vz9x9992mXbt25vTp064+L730kmnWrJnJyMgwu3btMg8++KAJDw83paWlrj4pKSmmTZs2JjMz0+zYscP079/fdOvWzVy8eNEXh9UgbNu2zURFRZmbb77ZTJgwwdXOeFvr+PHjpn379uaRRx4xn3/+uTl48KD56KOPzIEDB1x9GHNrzZw507Rs2dK8//775uDBg+add94xTZs2Nenp6a4+jPmVW7t2rfnTn/5kMjIyjCSzatUqt/VWje2gQYNMbGys2bp1q9m6dauJjY0199xzj8f1Enqu0m233WZSUlLc2jp16mSeeeYZH1X061FcXGwkmaysLGOMMZWVlSYsLMy89NJLrj7nz583TqfTLFiwwBhjzMmTJ01AQIBZsWKFq09BQYFp1KiRWbduXd0eQANx6tQp06FDB5OZmWn69u3rCj2Mt/UmT55sevXqVeN6xtx6d999txkzZoxb2+9+9zszYsQIYwxjbqWfhx6rxvbLL780ksxnn33m6pOdnW0kmb1793pUI6e3rkJ5eblycnKUlJTk1p6UlKStW7f6qKpfj5KSEklSixYtJEkHDx5UUVGR23gHBgaqb9++rvHOycnRhQsX3PpEREQoNjaWP5MajB07VnfffbfuuOMOt3bG23pr1qxRQkKChg0bppCQEMXFxemvf/2raz1jbr1evXrp448/1ldffSVJ+uKLL/TJJ58oOTlZEmPuTVaNbXZ2tpxOp/7pn/7J1adHjx5yOp0ej7/PH07YkB07dkwVFRVVXpAaGhpa5cWo8IwxRqmpqerVq5diY2MlyTWm1Y334cOHXX0aN26s6667rkof/kyqWrFihXbs2KF//OMfVdYx3tb75ptvNH/+fKWmpurZZ5/Vtm3b9NRTTykwMFCjRo1izL1g8uTJKikpUadOneTn56eKigq98MILevjhhyXx99ybrBrboqIihYSEVPn+kJAQj8ef0GOBn7+t3Rhj6Rvc7WjcuHHauXOnPvnkkyrrrmS8+TOp6ujRo5owYYLWr1+voKCgGvsx3taprKxUQkKCXnzxRUlSXFyc9uzZo/nz57u9Z5Axt85bb72l5cuX64033lCXLl2Ul5eniRMnKiIiQqNHj3b1Y8y9x4qxra7/lYw/p7euQqtWreTn51claRYXF1dJtqi98ePHa82aNdq4caPatm3rag8LC5Oky453WFiYysvLdeLEiRr74JKcnBwVFxcrPj5e/v7+8vf3V1ZWlubOnSt/f3/XeDHe1gkPD1fnzp3d2m666SbXOwb5O269f/3Xf9Uzzzyjhx56SF27dtXIkSM1adIkzZo1SxJj7k1WjW1YWJi+++67Kt///fffezz+hJ6r0LhxY8XHxyszM9OtPTMzUz179vRRVQ2XMUbjxo3TypUrtWHDBkVHR7utj46OVlhYmNt4l5eXKysryzXe8fHxCggIcOtTWFio3bt382fyMwMGDNCuXbuUl5fnWhISEjR8+HDl5eUpJiaG8bbY7bffXuUxDF999ZXrJcv8Hbfe2bNn1aiR+0+dn5+f65Z1xtx7rBrbxMRElZSUaNu2ba4+n3/+uUpKSjwff48ue0YVP96yvmjRIvPll1+aiRMnmiZNmphDhw75urQG5w9/+INxOp1m06ZNprCw0LWcPXvW1eell14yTqfTrFy50uzatcs8/PDD1d7+2LZtW/PRRx+ZHTt2mN/85jfcWlpLP717yxjG22rbtm0z/v7+5oUXXjD79+83r7/+urnmmmvM8uXLXX0Yc2uNHj3atGnTxnXL+sqVK02rVq3M008/7erDmF+5U6dOmdzcXJObm2skmTlz5pjc3FzXY1usGttBgwaZm2++2WRnZ5vs7GzTtWtXbln3lddee820b9/eNG7c2Nxyyy2uW6zhGUnVLkuWLHH1qaysNFOnTjVhYWEmMDDQ9OnTx+zatcvte86dO2fGjRtnWrRoYYKDg80999xjjhw5UsdH0zD9PPQw3tZ77733TGxsrAkMDDSdOnUyCxcudFvPmFurtLTUTJgwwbRr184EBQWZmJgY86c//cmUlZW5+jDmV27jxo3V/rs9evRoY4x1Y/vDDz+Y4cOHm2bNmplmzZqZ4cOHmxMnTnhcL29ZBwAAtsA1PQAAwBYIPQAAwBYIPQAAwBYIPQAAwBYIPQAAwBYIPQAAwBYIPQAAwBYIPQAAwBYIPQDqpX79+mnixIle38/IkSNdbz3/qUOHDmnatGlV2svKytSuXTvl5OR4vTYA1iL0APCqRx55RA6HQw6HQwEBAYqJiVFaWprOnDlz2e1Wrlyp559/3qu17dy5Ux988IHGjx9f620CAwOVlpamyZMne7EyAN5A6AHgdYMGDVJhYaG++eYbzZw5U/PmzVNaWlq1fS9cuCBJatGihZo1a+bVul599VUNGzbMbT8HDx7Ufffdpx49eug//uM/1KlTJ6WkpLhtN3z4cG3ZskX5+flerQ+AtQg9ALwuMDBQYWFhioyM1O9//3sNHz5cq1evliRNmzZN3bt31+LFixUTE6PAwEAZY6qc3iorK9PTTz+tyMhIBQYGqkOHDlq0aJFr/Zdffqnk5GQ1bdpUoaGhGjlypI4dO1ZjTZWVlXrnnXd07733urWPGjVK3333nebPn69HHnlEf/nLX9SyZUu3Pi1btlTPnj315ptvXv3gAKgzhB4AdS44ONg1oyNJBw4c0Ntvv62MjAzl5eVVu82oUaO0YsUKzZ07V/n5+VqwYIGaNm0qSSosLFTfvn3VvXt3bd++XevWrdN3332nBx54oMYadu7cqZMnTyohIcGtPTc3V2PHjlVcXJxCQkI0cOBAvfDCC1W2v+2227Rly5YrOHoAvuLv6wIA2Mu2bdv0xhtvaMCAAa628vJy/e1vf1Pr1q2r3earr77S22+/rczMTN1xxx2SpJiYGNf6+fPn65ZbbnG7IHnx4sWKjIzUV199pRtvvLHKdx46dEh+fn4KCQlxa7/99tuVnp6uysrKyx5HmzZtdOjQoV88XgD1BzM9ALzu/fffV9OmTRUUFKTExET16dNHr7zyimt9+/btaww8kpSXlyc/Pz/17du32vU5OTnauHGjmjZt6lo6deokSfr666+r3ebcuXMKDAyUw+Fwa3/99dfVo0cPPfvss3rhhReUmJiod999t8r2wcHBOnv27C8eO4D6g5keAF7Xv39/zZ8/XwEBAYqIiFBAQIDb+iZNmlx2++Dg4Muur6ys1ODBg/XnP/+5yrrw8PBqt2nVqpXOnj2r8vJyNW7c2K39lVde0R//+Ee99NJLioqK0oMPPqj//d//VVJSkqvf8ePHLxvUANQ/zPQA8LomTZrohhtuUPv27asEntro2rWrKisrlZWVVe36W265RXv27FFUVJRuuOEGt6WmQNW9e3dJly6ArklYWJieeeYZde/evcr1O7t371ZcXJzHxwLAdwg9AOq9qKgojR49WmPGjNHq1at18OBBbdq0SW+//bYkaezYsTp+/Lgefvhhbdu2Td98843Wr1+vMWPGqKKiotrvbN26tW655RZ98sknbu2PPfaYtm3bpjNnzqisrEwrV67Unj17FB8f79Zvy5YtbjM/AOo/Qg+ABmH+/Pm6//779eSTT6pTp0564oknXA84jIiI0KeffqqKigoNHDhQsbGxmjBhgpxOpxo1qvmfuX/+53/W66+/7tYWEhKiMWPG6LbbbtN//ud/Ki0tTc8//7yGDBni6pOdna2SkhLdf//9XjlWAN7hMMYYXxcBAL5w/vx5dezYUStWrFBiYqLbukOHDmnp0qXVvopi2LBhiouL07PPPltHlQKwAjM9AGwrKChIy5Ytu+xDDH+urKxM3bp106RJk7xYGQBvYKYHAADYAjM9AADAFgg9AADAFgg9AADAFgg9AADAFgg9AADAFgg9AADAFgg9AADAFgg9AADAFgg9AADAFgg9AADAFv4f9AfAAeP82bwAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the distribution of prices\n", + "\n", + "prices = [float(item.price) for item in items]\n", + "fig, ax = plt.subplots(1, 1)\n", + "ax.set_xlabel('Price ($)')\n", + "ax.set_ylabel('Count of items');\n", + "_ = ax.hist(prices, rwidth=0.7, color=\"darkblue\", bins=range(0, 1000, 20))\n", + "\n", + "print(f\"Average price is ${sum(prices)/len(prices):.2f} and highest price is ${max(prices):,.2f}\\n\")" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "3718a8e6-6c87-4351-8c27-9e61745b0991", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from collections import Counter\n", + "category_counts = Counter()\n", + "for item in items:\n", + " category_counts[item.category]+=1\n", + "\n", + "categories = category_counts.keys()\n", + "counts = [category_counts[category] for category in categories]\n", + "\n", + "# Create bar chart\n", + "plt.figure(figsize=(15, 6))\n", + "plt.bar(categories, counts, color=\"purple\")\n", + "\n", + "# Customize the chart\n", + "plt.title('How many in each category')\n", + "plt.xlabel('Categories')\n", + "plt.ylabel('Count')\n", + "\n", + "plt.xticks(rotation=30, ha='right')\n", + "\n", + "# Add value labels on top of each bar\n", + "for i, v in enumerate(counts):\n", + " plt.text(i, v, f\"{v:,}\", ha='center', va='bottom')\n", + "\n", + "# Display the chart\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "e741d816-25d8-4372-9caa-d006b85818be", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Minimum: 8\n" + ] + } + ], + "source": [ + "from collections import defaultdict\n", + "slots = defaultdict(list)\n", + "for item in items:\n", + " slots[round(item.price)].append(item)\n", + "\n", + "print(f\"\\nMinimum: {min([len(slot) for slot in slots.values()]):,}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "75541d34-37e9-4e59-bac8-87fd1d147d62", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "404011" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.random.seed(42)\n", + "random.seed(42)\n", + "sample = []\n", + "for i in range(1, 1000):\n", + " slot = slots[i]\n", + " if i>=350:\n", + " sample.extend(slot)\n", + " elif len(slot) <= 960:\n", + " sample.extend(slot)\n", + " else:\n", + " weights = np.array([1 if item.category=='Automotive' else 3 if item.category=='Home_and_Kitchen' else 8 for item in slot])\n", + " weights = weights / np.sum(weights)\n", + " selected_indices = np.random.choice(len(slot), size=960, replace=False, p=weights)\n", + " selected = [slot[i] for i in selected_indices]\n", + " sample.extend(selected)\n", + "len(sample)" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "id": "6f56ae0c-c802-436d-be42-6439143b177f", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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R/wDAwgnoAIAl6uqrr05RFPnd736XDh06VD577LFHkuS6666rPNB+//33T3V1da699trMnTs3N9xwQ/bee+906NChcrxOnTrlrbfeanSepr6U4PTTT8/gwYMzePDgnHLKKY22b7DBBg0edv/vPgkkPj0j6IEHHsjee++d3r175/bbb0/r1q2b1NM111yTH/7whxkwYEAuu+yyRuHeiy++mKIo8p3vfKfBbzlp0qQ88MAD6dChQy699NIFHv+RRx7Jm2++mauvvjo//OEPs/3222fLLbdM+/btm9Tnv1tS/3s0l3N/8pKKcePGzfdzySWXVGq32267/P73v099fX2eeuqp9OrVKwMHDsyIESMW+/y77bZbXnvttbzyyit58cUX8+qrr1bCy+23375S17JlywwdOjTvvvtunn322bz55pu599578/rrr6dbt25Za621KrVf+tKXMmbMmLzxxht59tlnM3Xq1Oy777555513Ghxzfp5//vlMnDgxdXV1lb+3T2YhDhgwIB06dEh9fX2l/sQTT8w777yT5557LhMnTsyTTz6ZadOmpV27do1efgEALFjLshsAAJYfc+fOzXXXXZcNNtggV155ZaPt9957by688MLcf//96du3bzp06JC99947119/fXr16pUpU6Y0WN6aJL17984FF1yQF198scEy16aEIr/4xS8yePDgnHbaafn5z38+35qWLVtmr732yu9+97tMnDgx6623XpJ/hXMjR47MBhtskM6dO1fqH3zwwey999755je/mbvuumu+D8tfmGuvvTY//OEPc+CBB+bKK6+c78y7XXfdNY8++mij8e9///vp1q1bzj777HzpS19a4Dk+Oeane/vNb37TpF7/3be+9a3cdtttueeeexosU7355psX+5iLqnfv3rntttty//33Z7fddquMf56ArG/fvhkxYkTmzp2brbbaapH2adGiRbbaaqtstNFGuemmm/LMM8/k+9///iLNApyfqqqqyoy4OXPm5Je//GU233zz+YZpq6yySjbddNMkyTPPPJOHH364MuPu09Zcc83KLLbTTjst7dq1yyGHHLLQXi6++OJMnz69wdiECRPyox/9KIMHD07v3r2zyiqrNNheXV1dWQ77+uuv59Zbb82hhx6atm3bfvbFAwBJBHQAwBJ0//33580338y5556bHXbYodH2Hj16ZPjw4bnqqqvSt2/fJP9aJnfrrbfm6KOPzlprrZWddtqpwT4DBw7M1Vdfnd122y1nnHFGamtrc/PNN1eWxX7Wc64uvPDC/OxnP8uuu+6aPfbYI0899VSD7VtvvXXlv//iF7/I/fffn1133TWDBw/OqquumiuvvDJ//vOfc9ttt1Xqnnjiiey9996pq6vLKaeckgkTJjQ45iabbJJVV101SXL99dfn4IMPztVXX52DDjooSfLb3/42hxxySDbffPMcfvjhGTt2bIP9t9hii1RXV6eurm6+S0fbtGmTTp06zfc3/nfbbLNNOnTokCOOOCI///nP06pVq9x0003585//vND9Fuaggw7KRRddlIMOOihnnXVWunfvnj/84Q954IEHFvuYi2rAgAG56KKLcuCBB+bMM8/Ml770pdx///2Vcy/OM8++//3v56abbsruu++e4447Lt/4xjfSqlWrvPHGG3n00Uez11575Tvf+U4uu+yyPPLII9ljjz2yzjrr5MMPP6ws1/7kb7Z9+/ZZd911c/fdd2fHHXdMx44d07lz50rYOz/HHHNMdthhh3Tq1Cl///vf86tf/SpvvPFGRo8e3aDuk+XJm222WYqiyNixY3Puuedm1113bbRc+7zzzktdXV3WWWedvPXWW7ntttty11135YYbbmiw7PS1117LBhtskAEDBuSqq65K8q9n7S3IV77ylQZ/c88//3xuv/32bLnllqmurs6f//znnHPOOenevXt+8YtfLMrPDwD8/wR0AMASc9VVV6V169aV52J9WufOnfOd73wnv/vd7/LWW2+ltrY2O+20U9Zee+1MmjQpp556aqOQpWvXrhk9enQGDhyYI444IiuvvHK+853v5IwzzsiAAQOy2mqrLbSn3//+90mSkSNHZuTIkY22f7J8NfnXMtfHH388J510Ug477LB89NFH2XzzzXPPPfdUAsUkeeihhzJr1qxMnDgx//Ef/9HomI8++mglyJg3b17mzp1beQlFktx3332ZN29ennnmmWy77baN9n/11VcXGuosqk6dOuW+++7L8ccfnwMPPDDt2rXLXnvtlVtvvTVf+9rXFuuYK6+8ch555JEcd9xxOemkk1JVVZU+ffpkxIgR2WabbT53zwvTrl27PPLIIxk4cGBOOOGEyrkvueSS7L777p/5tzA/LVq0yD333JNf/vKXueGGG3L22WenZcuWWWuttdK7d+/KbLXNN988Dz74YH7+859nypQpWWWVVdKjR4/cc8896dOnT+V4V111VX7yk59kzz33zOzZszNgwIBce+21Czz/pEmTcswxx+Sdd95Jp06dsuuuu+buu+9u8BzE5F/Plrv99ttz5plnZvbs2enevXvOOOOMHHvssWnRokWD2g8//DBnnHFG3njjjbRt2zZbb711HnvssWy33XYN6oqiyNy5cytLzpuqdevWeeSRR/KrX/0q7733XtZZZ50cccQROemkk9KuXbvFOiYArKiqin//f6UAAF8Qhx12WG655Za8++67TX72G8uXIUOG5LTTTsvrr7/e4FlsAABfFGbQAQDN3hlnnJGuXbtm/fXXz3vvvZd77703V155ZU477TTh3Apm+PDhSf71tt2PPvqoMoPrwAMPFM4BAF9YAjoAoNlr1apVzj///Lzxxhv5+OOP07179wwdOjTHHXdc2a2xjK288sq56KKLMnHixMyePTvrrLNOTjzxxJx22mlltwYAsNgscQUAAACAEjX9VVcAAAAAwBIjoAMAAACAEgnoAAAAAKBEAjoAAAAAKJGADgAAAABKJKADAAAAgBIJ6AAAAACgRAI6AAAAACiRgA4AAAAASiSgAwAAAIASCegAAAAAoEQCOgAAAAAokYAOAAAAAEokoAMAAACAEgnoAAAAAKBEAjoAAAAAKJGADgAAAABKJKADAAAAgBIJ6AAAAACgRAI6AAAAACiRgA4AAAAAStSy7AaWJ/Pmzcubb76Z9u3bp6qqqux2AAAAAChJURSZOXNmunbtmpVWWvgcOQHdEvTmm29m7bXXLrsNAAAAAJqJSZMmZa211lpoTakB3f/8z//k/PPPz/jx4zN58uTceeed2XvvvSvbi6LI6aefnssvvzzTpk3LVlttlV//+tf5yle+UqmZPXt2Bg0alFtuuSWzZs3KjjvumEsuuaTBhU+bNi3HHnts7rnnniTJnnvumWHDhmW11Var1Lz++us56qij8sgjj6Rt27bp169fLrjggrRu3XqRr6d9+/ZJ/vXDr7rqqov5qwAAAADwRTdjxoysvfbalbxoYUoN6N5///189atfzX/913/lP//zPxttP++88zJ06NBce+21+fKXv5wzzzwzO++8c15++eXKxQ0cODC///3vM2LEiHTq1CnHH398+vbtm/Hjx6dFixZJkn79+uWNN97IyJEjkySHHXZY+vfvn9///vdJkrlz52aPPfbI6quvnieeeCLvvvtuBgwYkKIoMmzYsEW+nk+Wta666qoCOgAAAAAW6TFoVUVRFMugl89UVVXVYAZdURTp2rVrBg4cmBNPPDHJv2bL1dbW5txzz83hhx+e+vr6rL766rnhhhvyve99L8n/W2b6hz/8IbvsskteeumlbLLJJnnqqaey1VZbJUmeeuqp9OrVK3/5y1+y4YYb5v7770/fvn0zadKkdO3aNUkyYsSI/OAHP8jUqVMXOWybMWNGampqUl9fL6ADAAAAWIE1JSdqtm9xffXVVzNlypT06dOnMlZdXZ3evXvnySefTJKMHz8+H330UYOarl27pkePHpWaMWPGpKamphLOJcnWW2+dmpqaBjU9evSohHNJsssuu2T27NkZP378AnucPXt2ZsyY0eADAAAAAE3RbAO6KVOmJElqa2sbjNfW1la2TZkyJa1bt06HDh0WWtOlS5dGx+/SpUuDmk+fp0OHDmndunWlZn7OPvvs1NTUVD5eEAEAAABAUzXbgO4Tn16nWxTFZ67d/XTN/OoXp+bTTj755NTX11c+kyZNWmhfAAAAAPBpzTagq6urS5JGM9imTp1ame1WV1eXOXPmZNq0aQuteeuttxod/+23325Q8+nzTJs2LR999FGjmXX/rrq6uvJCCC+GAAAAAGBxNNuArlu3bqmrq8uoUaMqY3PmzMno0aOzzTbbJEl69uyZVq1aNaiZPHlynn/++UpNr169Ul9fn7Fjx1Zqnn766dTX1zeoef755zN58uRKzYMPPpjq6ur07NlzqV4nAAAAACu2lmWe/L333svf/va3yvdXX301EyZMSMeOHbPOOutk4MCBGTJkSLp3757u3btnyJAhWXnlldOvX78kSU1NTQ455JAcf/zx6dSpUzp27JhBgwZl0003zU477ZQk2XjjjbPrrrvm0EMPzW9+85skyWGHHZa+fftmww03TJL06dMnm2yySfr375/zzz8///znPzNo0KAceuihZsUBAAAAsFSVGtD98Y9/zLe+9a3K9x//+MdJkgEDBuTaa6/NCSeckFmzZuXII4/MtGnTstVWW+XBBx9M+/btK/tcdNFFadmyZfbbb7/MmjUrO+64Y6699tq0aNGiUnPTTTfl2GOPrbztdc8998zw4cMr21u0aJH77rsvRx55ZLbddtu0bds2/fr1ywUXXLC0fwIAAAAAVnBVRVEUZTexvJgxY0ZqampSX19v5h0AAADACqwpOVGzfQYdAAAAAKwIBHQAAAAAUCIBHQAAAACUSEAHAAAAACUS0AEAAABAiQR0AAAAAFAiAR0AAAAAlEhABwAAAAAlEtABAAAAQIkEdAAAAABQopZlNwAsXFXVBQvcVhSDlvvzf5H4rQAAAFgcAjqWmIWFE8niBxSLGnosrfMvj75Iv1VTehWQAQAA8EUkoKMUZQcpZYc+X6SArCm+SGHqF6lXAAAAlm8COlhCBDkAAADA4vCSCAAAAAAokRl0sBwpe+kwAAAA0HQCOhbKsk0AAACApcsSVwAAAAAokYAOAAAAAEokoAMAAACAEgnoAAAAAKBEAjoAAAAAKJGADgAAAABK1LLsBgBWRFVVFyxwW1EMWoadAAAAUDYz6AAAAACgRAI6AAAAACiRJa4AzdjClsImlsMCAAAsD8ygAwAAAIASCegAAAAAoEQCOgAAAAAokYAOAAAAAEokoAMAAACAEgnoAAAAAKBEAjoAAAAAKJGADgAAAABKJKADAAAAgBIJ6AAAAACgRC3LbgCAJaOq6oKFbi+KQcuoEwAAAJrCDDoAAAAAKJGADgAAAABKJKADAAAAgBIJ6AAAAACgRAI6AAAAACiRgA4AAAAASiSgAwAAAIASCegAAAAAoEQCOgAAAAAokYAOAAAAAEokoAMAAACAEgnoAAAAAKBEAjoAAAAAKJGADgAAAABKJKADAAAAgBIJ6AAAAACgRAI6AAAAACiRgA4AAAAASiSgAwAAAIAStSy7AQCWvaqqCxa4rSgGLcNOAAAAMIMOAAAAAEokoAMAAACAEgnoAAAAAKBEAjoAAAAAKJGADgAAAABKJKADAAAAgBIJ6AAAAACgRAI6AAAAACiRgA4AAAAASiSgAwAAAIASCegAAAAAoEQCOgAAAAAokYAOAAAAAEokoAMAAACAEgnoAAAAAKBEAjoAAAAAKJGADgAAAABKJKADAAAAgBIJ6AAAAACgRAI6AAAAACiRgA4AAAAASiSgAwAAAIASNeuA7uOPP85pp52Wbt26pW3btll//fVzxhlnZN68eZWaoigyePDgdO3aNW3bts0OO+yQF154ocFxZs+enWOOOSadO3dOu3btsueee+aNN95oUDNt2rT0798/NTU1qampSf/+/TN9+vRlcZkAAAAArMCadUB37rnn5rLLLsvw4cPz0ksv5bzzzsv555+fYcOGVWrOO++8DB06NMOHD8+4ceNSV1eXnXfeOTNnzqzUDBw4MHfeeWdGjBiRJ554Iu+991769u2buXPnVmr69euXCRMmZOTIkRk5cmQmTJiQ/v37L9PrBQAAAGDF07LsBhZmzJgx2WuvvbLHHnskSdZbb73ccsst+eMf/5jkX7PnLr744px66qnZZ599kiTXXXddamtrc/PNN+fwww9PfX19rrrqqtxwww3ZaaedkiQ33nhj1l577Tz00EPZZZdd8tJLL2XkyJF56qmnstVWWyVJrrjiivTq1Ssvv/xyNtxwwxKuHgAAAIAVQbOeQffNb34zDz/8cF555ZUkyZ///Oc88cQT2X333ZMkr776aqZMmZI+ffpU9qmurk7v3r3z5JNPJknGjx+fjz76qEFN165d06NHj0rNmDFjUlNTUwnnkmTrrbdOTU1NpQZgRVRVdcFCPwAAAHx+zXoG3Yknnpj6+vpstNFGadGiRebOnZuzzjor+++/f5JkypQpSZLa2toG+9XW1ua1116r1LRu3TodOnRoVPPJ/lOmTEmXLl0anb9Lly6VmvmZPXt2Zs+eXfk+Y8aMxbhKAAAAAFZkzXoG3a233pobb7wxN998c5555plcd911ueCCC3Ldddc1qKuqqmrwvSiKRmOf9uma+dV/1nHOPvvsykslampqsvbaay/KZQEAAABARbMO6H7yk5/kpJNOyve///1suumm6d+/f370ox/l7LPPTpLU1dUlSaNZblOnTq3Mqqurq8ucOXMybdq0hda89dZbjc7/9ttvN5qd9+9OPvnk1NfXVz6TJk1a/IsFAAAAYIXUrAO6Dz74ICut1LDFFi1aZN68eUmSbt26pa6uLqNGjapsnzNnTkaPHp1tttkmSdKzZ8+0atWqQc3kyZPz/PPPV2p69eqV+vr6jB07tlLz9NNPp76+vlIzP9XV1Vl11VUbfAAAAACgKZr1M+i+/e1v56yzzso666yTr3zlK/nTn/6UoUOH5uCDD07yr2WpAwcOzJAhQ9K9e/d07949Q4YMycorr5x+/folSWpqanLIIYfk+OOPT6dOndKxY8cMGjQom266aeWtrhtvvHF23XXXHHroofnNb36TJDnssMPSt29fb3AFAAAAYKlq1gHdsGHD8tOf/jRHHnlkpk6dmq5du+bwww/Pz372s0rNCSeckFmzZuXII4/MtGnTstVWW+XBBx9M+/btKzUXXXRRWrZsmf322y+zZs3KjjvumGuvvTYtWrSo1Nx000059thjK2973XPPPTN8+PBld7EAAAAArJCadUDXvn37XHzxxbn44osXWFNVVZXBgwdn8ODBC6xp06ZNhg0blmHDhi2wpmPHjrnxxhs/R7cAAAAA0HTN+hl0AAAAALC8E9ABAAAAQIkEdAAAAABQIgEdAAAAAJRIQAcAAAAAJRLQAQAAAECJBHQAAAAAUKKWZTcAALAgVVUXLHR7UQxaRp0AAMDSYwYdAAAAAJRIQAcAAAAAJRLQAQAAAECJBHQAAAAAUCIBHQAAAACUyFtcAVgivG0TAABg8ZhBBwAAAAAlEtABAAAAQIkEdAAAAABQIgEdAAAAAJRIQAcAAAAAJRLQAQAAAECJBHQAAAAAUCIBHQAAAACUSEAHAAAAACUS0AEAAABAiQR0AAAAAFAiAR0AAAAAlEhABwAAAAAlEtABAAAAQIkEdAAAAABQIgEdAAAAAJRIQAcAAAAAJRLQAQAAAECJBHQAAAAAUCIBHQAAAACUSEAHAAAAACUS0AEAAABAiVqW3QAAK56qqgsWuK0oBi3DTgAAAMpnBh0AAAAAlEhABwAAAAAlEtABAAAAQIkEdAAAAABQIgEdAAAAAJRIQAcAAAAAJRLQAQAAAECJBHQAAAAAUKKWZTcAAAtTVXXBArcVxaBl2AkAAMDSYQYdAAAAAJRIQAcAAAAAJRLQAQAAAECJBHQAAAAAUCIBHQAAAACUyFtcAVjhLOzNsIm3wwIAAMuWGXQAAAAAUCIz6ABgObGwmYFmBQIAQPNlBh0AAAAAlEhABwAAAAAlEtABAAAAQIkEdAAAAABQIgEdAAAAAJRIQAcAAAAAJRLQAQAAAECJBHQAAAAAUCIBHQAAAACUSEAHAAAAACUS0AEAAABAiQR0AAAAAFAiAR0AAAAAlKhl2Q0AwJJQVXXBQrcXxaBl1AkAAEDTmEEHAAAAACUS0AEAAABAiQR0AAAAAFAiAR0AAAAAlEhABwAAAAAlEtABAAAAQIkEdAAAAABQIgEdAAAAAJRIQAcAAAAAJRLQAQAAAECJBHQAAAAAUCIBHQAAAACUqNkHdP/4xz9y4IEHplOnTll55ZWz+eabZ/z48ZXtRVFk8ODB6dq1a9q2bZsddtghL7zwQoNjzJ49O8ccc0w6d+6cdu3aZc8998wbb7zRoGbatGnp379/ampqUlNTk/79+2f69OnL4hIBAAAAWIE164Bu2rRp2XbbbdOqVavcf//9efHFF3PhhRdmtdVWq9Scd955GTp0aIYPH55x48alrq4uO++8c2bOnFmpGThwYO68886MGDEiTzzxRN5777307ds3c+fOrdT069cvEyZMyMiRIzNy5MhMmDAh/fv3X5aXCwAAAMAKqGXZDSzMueeem7XXXjvXXHNNZWy99dar/PeiKHLxxRfn1FNPzT777JMkue6661JbW5ubb745hx9+eOrr63PVVVflhhtuyE477ZQkufHGG7P22mvnoYceyi677JKXXnopI0eOzFNPPZWtttoqSXLFFVekV69eefnll7Phhhsuu4sGAAAAYIXSrGfQ3XPPPdlyyy2z7777pkuXLtliiy1yxRVXVLa/+uqrmTJlSvr06VMZq66uTu/evfPkk08mScaPH5+PPvqoQU3Xrl3To0ePSs2YMWNSU1NTCeeSZOutt05NTU2lBgAAAACWhmYd0P3973/PpZdemu7du+eBBx7IEUcckWOPPTbXX399kmTKlClJktra2gb71dbWVrZNmTIlrVu3TocOHRZa06VLl0bn79KlS6VmfmbPnp0ZM2Y0+AAAAABAUzTrJa7z5s3LlltumSFDhiRJtthii7zwwgu59NJLc9BBB1XqqqqqGuxXFEWjsU/7dM386j/rOGeffXZOP/30RboWAAAAAJifZj2Dbo011sgmm2zSYGzjjTfO66+/niSpq6tLkkaz3KZOnVqZVVdXV5c5c+Zk2rRpC6156623Gp3/7bffbjQ779+dfPLJqa+vr3wmTZrUxCsEAAAAYEXXrAO6bbfdNi+//HKDsVdeeSXrrrtukqRbt26pq6vLqFGjKtvnzJmT0aNHZ5tttkmS9OzZM61atWpQM3ny5Dz//POVml69eqW+vj5jx46t1Dz99NOpr6+v1MxPdXV1Vl111QYfAAAAAGiKZr3E9Uc/+lG22WabDBkyJPvtt1/Gjh2byy+/PJdffnmSfy1LHThwYIYMGZLu3bune/fuGTJkSFZeeeX069cvSVJTU5NDDjkkxx9/fDp16pSOHTtm0KBB2XTTTStvdd14442z66675tBDD81vfvObJMlhhx2Wvn37eoMrAAAAAEtVsw7ovv71r+fOO+/MySefnDPOOCPdunXLxRdfnAMOOKBSc8IJJ2TWrFk58sgjM23atGy11VZ58MEH0759+0rNRRddlJYtW2a//fbLrFmzsuOOO+baa69NixYtKjU33XRTjj322MrbXvfcc88MHz582V0sAAAAACukZh3QJUnfvn3Tt2/fBW6vqqrK4MGDM3jw4AXWtGnTJsOGDcuwYcMWWNOxY8fceOONn6dVAAAAAGiyZv0MOgAAAABY3gnoAAAAAKBEAjoAAAAAKJGADgAAAABKJKADAAAAgBIJ6AAAAACgRAI6AAAAACiRgA4AAAAASiSgAwAAAIASCegAAAAAoEQCOgAAAAAokYAOAAAAAEokoAMAAACAEgnoAAAAAKBEAjoAAAAAKJGADgAAAABKJKADAAAAgBIJ6AAAAACgRIsV0K2//vp59913G41Pnz4966+//uduCgAAAABWFIsV0E2cODFz585tND579uz84x//+NxNAQAAAMCKomVTiu+5557Kf3/ggQdSU1NT+T537tw8/PDDWW+99ZZYcwAAAACwvGtSQLf33nsnSaqqqjJgwIAG21q1apX11lsvF1544RJrDgAAAACWd00K6ObNm5ck6datW8aNG5fOnTsvlaYAAAAAYEXRpIDuE6+++uqS7gMAAAAAVkiLFdAlycMPP5yHH344U6dOrcys+8TVV1/9uRsDgOVVVdUFC91eFIOWUScAAEBzsFgB3emnn54zzjgjW265ZdZYY41UVVUt6b4A4AtF6AYAACyuxQroLrvsslx77bXp37//ku4HAAAAAFYoKy3OTnPmzMk222yzpHsBAAAAgBXOYgV0P/zhD3PzzTcv6V4AAAAAYIWzWEtcP/zww1x++eV56KGHstlmm6VVq1YNtg8dOnSJNAcAAAAAy7vFCuieffbZbL755kmS559/vsE2L4wAAAAAgEW3WAHdo48+uqT7AAAAAIAV0mI9gw4AAAAAWDIWawbdt771rYUuZX3kkUcWuyEAAAAAWJEsVkD3yfPnPvHRRx9lwoQJef755zNgwIAl0RcAAAAArBAWK6C76KKL5js+ePDgvPfee5+rIQAAAABYkSzRZ9AdeOCBufrqq5fkIQEAAABgubZEA7oxY8akTZs2S/KQAAAAALBcW6wlrvvss0+D70VRZPLkyfnjH/+Yn/70p0ukMQBg6aiqumCh24ti0DLqBAAASBYzoKupqWnwfaWVVsqGG26YM844I3369FkijQEAAADAimCxArprrrlmSfcBAAAAACukxQroPjF+/Pi89NJLqaqqyiabbJIttthiSfUFAAAAACuExQropk6dmu9///t57LHHstpqq6UoitTX1+db3/pWRowYkdVXX31J9wkAAAAAy6XFeovrMccckxkzZuSFF17IP//5z0ybNi3PP/98ZsyYkWOPPXZJ9wgAAAAAy63FmkE3cuTIPPTQQ9l4440rY5tsskl+/etfe0kEAAAAADTBYs2gmzdvXlq1atVovFWrVpk3b97nbgoAAAAAVhSLFdD9x3/8R4477ri8+eablbF//OMf+dGPfpQdd9xxiTUHAAAAAMu7xQrohg8fnpkzZ2a99dbLBhtskC996Uvp1q1bZs6cmWHDhi3pHgEAAABgubVYz6Bbe+2188wzz2TUqFH5y1/+kqIosskmm2SnnXZa0v0BAAAAwHKtSTPoHnnkkWyyySaZMWNGkmTnnXfOMccck2OPPTZf//rX85WvfCWPP/74UmkUAAAAAJZHTZpBd/HFF+fQQw/Nqquu2mhbTU1NDj/88AwdOjTbbbfdEmsQAMpUVXXBArcVxaBl2Ak0bwu7VxL3CwDAwjRpBt2f//zn7Lrrrgvc3qdPn4wfP/5zNwUAAAAAK4omBXRvvfVWWrVqtcDtLVu2zNtvv/25mwIAAACAFUWTAro111wzzz333AK3P/vss1ljjTU+d1MAAAAAsKJo0jPodt999/zsZz/LbrvtljZt2jTYNmvWrPz85z9P3759l2iDAEB5PIMPAACWviYFdKeddlruuOOOfPnLX87RRx+dDTfcMFVVVXnppZfy61//OnPnzs2pp566tHoFAJoxYR4AACyeJgV0tbW1efLJJ/Pf//3fOfnkk1MURZKkqqoqu+yySy655JLU1tYulUYBAAAAYHnUpIAuSdZdd9384Q9/yLRp0/K3v/0tRVGke/fu6dChw9LoDwAAAACWa00O6D7RoUOHfP3rX1+SvQAAAADACmexAzoAYOnzXDcAAFj+rVR2AwAAAACwIhPQAQAAAECJBHQAAAAAUCIBHQAAAACUSEAHAAAAACUS0AEAAABAiQR0AAAAAFAiAR0AAAAAlEhABwAAAAAlEtABAAAAQIkEdAAAAABQIgEdAAAAAJRIQAcAAAAAJRLQAQAAAECJBHQAAAAAUCIBHQAAAACUSEAHAAAAACUS0AEAAABAiQR0AAAAAFAiAR0AAAAAlEhABwAAAAAl+kIFdGeffXaqqqoycODAylhRFBk8eHC6du2atm3bZocddsgLL7zQYL/Zs2fnmGOOSefOndOuXbvsueeeeeONNxrUTJs2Lf37909NTU1qamrSv3//TJ8+fRlcFQAAAAArsi9MQDdu3Lhcfvnl2WyzzRqMn3feeRk6dGiGDx+ecePGpa6uLjvvvHNmzpxZqRk4cGDuvPPOjBgxIk888UTee++99O3bN3Pnzq3U9OvXLxMmTMjIkSMzcuTITJgwIf37919m1wcAAADAiukLEdC99957OeCAA3LFFVekQ4cOlfGiKHLxxRfn1FNPzT777JMePXrkuuuuywcffJCbb745SVJfX5+rrroqF154YXbaaadsscUWufHGG/Pcc8/loYceSpK89NJLGTlyZK688sr06tUrvXr1yhVXXJF77703L7/8cinXDAAAAMCK4QsR0B111FHZY489stNOOzUYf/XVVzNlypT06dOnMlZdXZ3evXvnySefTJKMHz8+H330UYOarl27pkePHpWaMWPGpKamJltttVWlZuutt05NTU2lZn5mz56dGTNmNPgAAAAAQFO0LLuBzzJixIg888wzGTduXKNtU6ZMSZLU1tY2GK+trc1rr71WqWndunWDmXef1Hyy/5QpU9KlS5dGx+/SpUulZn7OPvvsnH766U27IABYwVVVXbDQ7UUxaBl1AgAAzUOznkE3adKkHHfccbnxxhvTpk2bBdZVVVU1+F4URaOxT/t0zfzqP+s4J598curr6yufSZMmLfScAAAAAPBpzTqgGz9+fKZOnZqePXumZcuWadmyZUaPHp1f/epXadmyZWXm3KdnuU2dOrWyra6uLnPmzMm0adMWWvPWW281Ov/bb7/daHbev6uurs6qq67a4AMAAAAATdGsA7odd9wxzz33XCZMmFD5bLnlljnggAMyYcKErL/++qmrq8uoUaMq+8yZMyejR4/ONttskyTp2bNnWrVq1aBm8uTJef755ys1vXr1Sn19fcaOHVupefrpp1NfX1+pAQAAAICloVk/g659+/bp0aNHg7F27dqlU6dOlfGBAwdmyJAh6d69e7p3754hQ4Zk5ZVXTr9+/ZIkNTU1OeSQQ3L88cenU6dO6dixYwYNGpRNN9208tKJjTfeOLvuumsOPfTQ/OY3v0mSHHbYYenbt2823HDDZXjFAAAAAKxomnVAtyhOOOGEzJo1K0ceeWSmTZuWrbbaKg8++GDat29fqbnooovSsmXL7Lfffpk1a1Z23HHHXHvttWnRokWl5qabbsqxxx5bedvrnnvumeHDhy/z6wEAAABgxfKFC+gee+yxBt+rqqoyePDgDB48eIH7tGnTJsOGDcuwYcMWWNOxY8fceOONS6hLAAAAAFg0zfoZdAAAAACwvBPQAQAAAECJBHQAAAAAUCIBHQAAAACUSEAHAAAAACUS0AEAAABAiQR0AAAAAFAiAR0AAAAAlKhl2Q0AAKxoqqouWOC2ohi0DDsBAKA5MIMOAAAAAEokoAMAAACAEgnoAAAAAKBEAjoAAAAAKJGXRAAAwApkYS8pSbyoBADKYAYdAAAAAJRIQAcAAAAAJRLQAQAAAECJBHQAAAAAUCIBHQAAAACUSEAHAAAAACUS0AEAAABAiQR0AAAAAFAiAR0AAAAAlEhABwAAAAAlEtABAAAAQIkEdAAAAABQopZlNwAA0FxVVV2w0O1FMWgZdQIAwPLMDDoAAAAAKJGADgAAAABKJKADAAAAgBIJ6AAAAACgRAI6AAAAACiRgA4AAAAASiSgAwAAAIASCegAAAAAoEQCOgAAAAAokYAOAAAAAEokoAMAAACAEgnoAAAAAKBEAjoAAAAAKFHLshsAAFiWqqouWOj2ohi0jDoBAIB/MYMOAAAAAEokoAMAAACAEgnoAAAAAKBEAjoAAAAAKJGADgAAAABKJKADAAAAgBIJ6AAAAACgRAI6AAAAACiRgA4AAAAASiSgAwAAAIAStSy7AQCA5UFV1QUL3FYUg5ZhJwAAfNGYQQcAAAAAJRLQAQAAAECJLHEFAJYLlpgCAPBFZQYdAAAAAJRIQAcAAAAAJbLEFQCgmVrYst3E0l0AgOWFGXQAAAAAUCIBHQAAAACUSEAHAAAAACXyDDoAgBXMwp5t57l2AADLnoAOAACgGfKiGIAVhyWuAAAAAFAiAR0AAAAAlEhABwAAAAAlEtABAAAAQIkEdAAAAABQIgEdAAAAAJRIQAcAAAAAJWpZdgMAANBcVVVdsMBtRTFoGXYCACzPzKADAAAAgBKZQQcAsBxY2EyvxGwvAIDmzAw6AAAAACiRgA4AAAAASiSgAwAAAIASCegAAAAAoEQCOgAAAAAokYAOAAAAAEokoAMAAACAEjXrgO7ss8/O17/+9bRv3z5dunTJ3nvvnZdffrlBTVEUGTx4cLp27Zq2bdtmhx12yAsvvNCgZvbs2TnmmGPSuXPntGvXLnvuuWfeeOONBjXTpk1L//79U1NTk5qamvTv3z/Tp09f2pcIAAAAwAquWQd0o0ePzlFHHZWnnnoqo0aNyscff5w+ffrk/fffr9Scd955GTp0aIYPH55x48alrq4uO++8c2bOnFmpGThwYO68886MGDEiTzzxRN5777307ds3c+fOrdT069cvEyZMyMiRIzNy5MhMmDAh/fv3X6bXCwAAAMCKp2XZDSzMyJEjG3y/5ppr0qVLl4wfPz7bb799iqLIxRdfnFNPPTX77LNPkuS6665LbW1tbr755hx++OGpr6/PVVddlRtuuCE77bRTkuTGG2/M2muvnYceeii77LJLXnrppYwcOTJPPfVUttpqqyTJFVdckV69euXll1/OhhtuuGwvHACgGaiqumCh24ti0DLqBABg+dasZ9B9Wn19fZKkY8eOSZJXX301U6ZMSZ8+fSo11dXV6d27d5588skkyfjx4/PRRx81qOnatWt69OhRqRkzZkxqamoq4VySbL311qmpqanUzM/s2bMzY8aMBh8AAAAAaIpmPYPu3xVFkR//+Mf55je/mR49eiRJpkyZkiSpra1tUFtbW5vXXnutUtO6det06NChUc0n+0+ZMiVdunRpdM4uXbpUaubn7LPPzumnn774FwUAAMAXnhnHwOf1hZlBd/TRR+fZZ5/NLbfc0mhbVVVVg+9FUTQa+7RP18yv/rOOc/LJJ6e+vr7ymTRp0mddBgAAAAA08IUI6I455pjcc889efTRR7PWWmtVxuvq6pKk0Sy3qVOnVmbV1dXVZc6cOZk2bdpCa956661G53377bcbzc77d9XV1Vl11VUbfAAAAACgKZp1QFcURY4++ujccccdeeSRR9KtW7cG27t165a6urqMGjWqMjZnzpyMHj0622yzTZKkZ8+eadWqVYOayZMn5/nnn6/U9OrVK/X19Rk7dmyl5umnn059fX2lBgAAAACWhmb9DLqjjjoqN998c+6+++60b9++MlOupqYmbdu2TVVVVQYOHJghQ4ake/fu6d69e4YMGZKVV145/fr1q9QecsghOf7449OpU6d07NgxgwYNyqabblp5q+vGG2+cXXfdNYceemh+85vfJEkOO+yw9O3b1xtcAQC+ADz/CQD4ImvWAd2ll16aJNlhhx0ajF9zzTX5wQ9+kCQ54YQTMmvWrBx55JGZNm1attpqqzz44INp3759pf6iiy5Ky5Yts99++2XWrFnZcccdc+2116ZFixaVmptuuinHHnts5W2ve+65Z4YPH750LxAAAACAFV6zDuiKovjMmqqqqgwePDiDBw9eYE2bNm0ybNiwDBs2bIE1HTt2zI033rg4bQIAAADAYmvWz6ADAAAAgOWdgA4AAAAASiSgAwAAAIASCegAAAAAoEQCOgAAAAAokYAOAAAAAEokoAMAAACAEgnoAAAAAKBEAjoAAAAAKFHLshsAAAAAWBaqqi5Y6PaiGLSMOoGGBHQAAKxQFvYvZ/7F7IvL/64AfJFZ4goAAAAAJTKDDgCAZsusKABgRWAGHQAAAACUSEAHAAAAACWyxBUAAJopS3wBYMVgBh0AAAAAlMgMOgAAlqnlcVbYwq4p+eJeFwCwbJhBBwAAAAAlEtABAAAAQIkscQUAgGXIclgA4NPMoAMAAACAEgnoAAAAAKBEAjoAAAAAKJGADgAAAABKJKADAAAAgBIJ6AAAAACgRC3LbgAAAPj8qqouWOC2ohi0DDsBAJrKDDoAAAAAKJEZdAAAwDKzsJl+idl+AKyYzKADAAAAgBKZQQcAAPA5eQbgovNbATRmBh0AAAAAlEhABwAAAAAlEtABAAAAQIkEdAAAAABQIgEdAAAAAJTIW1wBAIDPzZs5AWDxCegAAIBmaWGhX7J4wd/SOCYAfF6WuAIAAABAiQR0AAAAAFAiS1wBAID58lw5AFg2zKADAAAAgBIJ6AAAAACgRJa4AgAAAI1Y5g7LjoAOAABgPhYWTiQCCgCWHEtcAQAAAKBEZtABAAAsQ5YNAvBpAjoAAAAascQXYNmxxBUAAAAASiSgAwAAAIASWeIKAACwAvkiPQPvi9QrwOchoAMAAOALrSnPyxP6Ac2RgA4AAIDPxQsloFyC5y8+z6ADAAAAgBIJ6AAAAACgRJa4AgAAfMFZYgrwxSagAwAAgPnwXC9gWbHEFQAAAABKZAYdAAAAfIFZ4gxffAI6AAAA4HOxHBg+HwEdAAAArCDMtoPmSUAHAAAAzdCKPitNmMiKREAHAAAAy8iKHjqt6NcPCyKgAwAAAFhGyp4ZWfb5mT8BHQAAAPCFJnTii05ABwAAAMAyIUydPwEdAAAAAIvNswU/PwEdAAAAwKc0JXQyK4zPa6WyGwAAAACAFZkZdAAAAADNTNnLRss+/4rGDDoAAAAAKJGADgAAAABKJKADAAAAgBIJ6AAAAACgRAI6AAAAACiRgA4AAAAASiSgAwAAAIASCegAAAAAoEQCOgAAAAAokYDuUy655JJ069Ytbdq0Sc+ePfP444+X3RIAAAAAyzEB3b+59dZbM3DgwJx66qn505/+lO222y677bZbXn/99bJbAwAAAGA5JaD7N0OHDs0hhxySH/7wh9l4441z8cUXZ+21186ll15admsAAAAALKcEdP+/OXPmZPz48enTp0+D8T59+uTJJ58sqSsAAAAAlncty26guXjnnXcyd+7c1NbWNhivra3NlClT5rvP7NmzM3v27Mr3+vr6JMmMGTOWXqPL3IcL3drwWpdMbePfb1Fry+617PM3pXb5OH9TasvutezzN6W2eZ2/KbVl91r2+ZtSu3ycvym1zev8Taktu9eyz9+U2uXj/E2pLbvXss/flNrmdf6m1Jbda9nnb0rt8nH+ptQ2r/M3pbbsXss+f1Nql4/zN6V2+cpT/t/1FEXxmbVVxaJUrQDefPPNrLnmmnnyySfTq1evyvhZZ52VG264IX/5y18a7TN48OCcfvrpy7JNAAAAAL5AJk2alLXWWmuhNWbQ/f86d+6cFi1aNJotN3Xq1Eaz6j5x8skn58c//nHl+7x58/LPf/4znTp1SlVV1VLtd2mbMWNG1l577UyaNCmrrrpq2e3AcsF9BUue+wqWPPcVLHnuK1g6mvu9VRRFZs6cma5du35mrYDu/9e6dev07Nkzo0aNyne+853K+KhRo7LXXnvNd5/q6upUV1c3GFtttdWWZpvL3Kqrrtos/8jhi8x9BUue+wqWPPcVLHnuK1g6mvO9VVNTs0h1Arp/8+Mf/zj9+/fPlltumV69euXyyy/P66+/niOOOKLs1gAAAABYTgno/s33vve9vPvuuznjjDMyefLk9OjRI3/4wx+y7rrrlt0aAAAAAMspAd2nHHnkkTnyyCPLbqN01dXV+fnPf95oCS+w+NxXsOS5r2DJc1/Bkue+gqVjebq3vMUVAAAAAEq0UtkNAAAAAMCKTEAHAAAAACUS0AEAAABAiQR0NHLJJZekW7duadOmTXr27JnHH3+87Jag2Tr77LPz9a9/Pe3bt0+XLl2y99575+WXX25QUxRFBg8enK5du6Zt27bZYYcd8sILLzSomT17do455ph07tw57dq1y5577pk33nhjWV4KNFtnn312qqqqMnDgwMqY+wqa7h//+EcOPPDAdOrUKSuvvHI233zzjB8/vrLdfQVN8/HHH+e0005Lt27d0rZt26y//vo544wzMm/evEqN+woW7n/+53/y7W9/O127dk1VVVXuuuuuBtuX1D00bdq09O/fPzU1NampqUn//v0zffr0pXx1TSOgo4Fbb701AwcOzKmnnpo//elP2W677bLbbrvl9ddfL7s1aJZGjx6do446Kk899VRGjRqVjz/+OH369Mn7779fqTnvvPMydOjQDB8+POPGjUtdXV123nnnzJw5s1IzcODA3HnnnRkxYkSeeOKJvPfee+nbt2/mzp1bxmVBszFu3Lhcfvnl2WyzzRqMu6+gaaZNm5Ztt902rVq1yv33358XX3wxF154YVZbbbVKjfsKmubcc8/NZZddluHDh+ell17Keeedl/PPPz/Dhg2r1LivYOHef//9fPWrX83w4cPnu31J3UP9+vXLhAkTMnLkyIwcOTITJkxI//79l/r1NUkB/+Yb3/hGccQRRzQY22ijjYqTTjqppI7gi2Xq1KlFkmL06NFFURTFvHnzirq6uuKcc86p1Hz44YdFTU1NcdlllxVFURTTp08vWrVqVYwYMaJS849//KNYaaWVipEjRy7bC4BmZObMmUX37t2LUaNGFb179y6OO+64oijcV7A4TjzxxOKb3/zmAre7r6Dp9thjj+Lggw9uMLbPPvsUBx54YFEU7itoqiTFnXfeWfm+pO6hF198sUhSPPXUU5WaMWPGFEmKv/zlL0v5qhadGXRUzJkzJ+PHj0+fPn0ajPfp0ydPPvlkSV3BF0t9fX2SpGPHjkmSV199NVOmTGlwX1VXV6d3796V+2r8+PH56KOPGtR07do1PXr0cO+xQjvqqKOyxx57ZKeddmow7r6Cprvnnnuy5ZZbZt99902XLl2yxRZb5Iorrqhsd19B033zm9/Mww8/nFdeeSVJ8uc//zlPPPFEdt999yTuK/i8ltQ9NGbMmNTU1GSrrbaq1Gy99dapqalpVvdZy7IboPl45513Mnfu3NTW1jYYr62tzZQpU0rqCr44iqLIj3/843zzm99Mjx49kqRy78zvvnrttdcqNa1bt06HDh0a1bj3WFGNGDEizzzzTMaNG9dom/sKmu7vf/97Lr300vz4xz/OKaeckrFjx+bYY49NdXV1DjroIPcVLIYTTzwx9fX12WijjdKiRYvMnTs3Z511Vvbff/8k/nkFn9eSuoemTJmSLl26NDp+ly5dmtV9JqCjkaqqqgbfi6JoNAY0dvTRR+fZZ5/NE0880Wjb4txX7j1WVJMmTcpxxx2XBx98MG3atFlgnfsKFt28efOy5ZZbZsiQIUmSLbbYIi+88EIuvfTSHHTQQZU69xUsultvvTU33nhjbr755nzlK1/JhAkTMnDgwHTt2jUDBgyo1Lmv4PNZEvfQ/Oqb231miSsVnTt3TosWLRolyFOnTm2UWAMNHXPMMbnnnnvy6KOPZq211qqM19XVJclC76u6urrMmTMn06ZNW2ANrEjGjx+fqVOnpmfPnmnZsmVatmyZ0aNH51e/+lVatmxZuS/cV7Do1lhjjWyyySYNxjbeeOPKi8D88wqa7ic/+UlOOumkfP/738+mm26a/v3750c/+lHOPvvsJO4r+LyW1D1UV1eXt956q9Hx33777WZ1nwnoqGjdunV69uyZUaNGNRgfNWpUttlmm5K6guatKIocffTRueOOO/LII4+kW7duDbZ369YtdXV1De6rOXPmZPTo0ZX7qmfPnmnVqlWDmsmTJ+f5559377FC2nHHHfPcc89lwoQJlc+WW26ZAw44IBMmTMj666/vvoIm2nbbbfPyyy83GHvllVey7rrrJvHPK1gcH3zwQVZaqeG/Urdo0SLz5s1L4r6Cz2tJ3UO9evVKfX19xo4dW6l5+umnU19f37zuszLeTEHzNWLEiKJVq1bFVVddVbz44ovFwIEDi3bt2hUTJ04suzVolv77v/+7qKmpKR577LFi8uTJlc8HH3xQqTnnnHOKmpqa4o477iiee+65Yv/99y/WWGONYsaMGZWaI444olhrrbWKhx56qHjmmWeK//iP/yi++tWvFh9//HEZlwXNzr+/xbUo3FfQVGPHji1atmxZnHXWWcVf//rX4qabbipWXnnl4sYbb6zUuK+gaQYMGFCsueaaxb333lu8+uqrxR133FF07ty5OOGEEyo17itYuJkzZxZ/+tOfij/96U9FkmLo0KHFn/70p+K1114rimLJ3UO77rprsdlmmxVjxowpxowZU2y66aZF3759l/n1LoyAjkZ+/etfF+uuu27RunXr4mtf+1oxevTosluCZivJfD/XXHNNpWbevHnFz3/+86Kurq6orq4utt9+++K5555rcJxZs2YVRx99dNGxY8eibdu2Rd++fYvXX399GV8NNF+fDujcV9B0v//974sePXoU1dXVxUYbbVRcfvnlDba7r6BpZsyYURx33HHFOuusU7Rp06ZYf/31i1NPPbWYPXt2pcZ9BQv36KOPzvffpwYMGFAUxZK7h959993igAMOKNq3b1+0b9++OOCAA4pp06Yto6tcNFVFURTlzN0DAAAAADyDDgAAAABKJKADAAAAgBIJ6AAAAACgRAI6AAAAACiRgA4AAAAASiSgAwAAAIASCegAAAAAoEQCOgAAAAAokYAOAIAF2mGHHTJw4MClfp7+/ftnyJAhjcYnTpyYwYMHNxqfPXt21llnnYwfP36p9wYAsLQJ6AAAVgA/+MEPUlVVlaqqqrRq1Srrr79+Bg0alPfff3+h+91xxx35xS9+sVR7e/bZZ3PfffflmGOOWeR9qqurM2jQoJx44olLsTMAgGVDQAcAsILYddddM3ny5Pz973/PmWeemUsuuSSDBg2ab+1HH32UJOnYsWPat2+/VPsaPnx49t133wbnefXVV/Od73wnW2+9dc4777xstNFGOeKIIxrsd8ABB+Txxx/PSy+9tFT7AwBY2gR0AAAriOrq6tTV1WXttddOv379csABB+Suu+5KkgwePDibb755rr766qy//vqprq5OURSNlrjOnj07J5xwQtZee+1UV1ene/fuueqqqyrbX3zxxey+++5ZZZVVUltbm/79++edd95ZYE/z5s3Lb3/72+y5554Nxg866KC89dZbufTSS/ODH/wgv/zlL9OpU6cGNZ06dco222yTW2655fP/OAAAJRLQAQCsoNq2bVuZKZckf/vb33Lbbbfl9ttvz4QJE+a7z0EHHZQRI0bkV7/6VV566aVcdtllWWWVVZIkkydPTu/evbP55pvnj3/8Y0aOHJm33nor++233wJ7ePbZZzN9+vRsueWWDcb/9Kc/5aijjsoWW2yRLl26ZJdddslZZ53VaP9vfOMbefzxxxfj6gEAmo+WZTcAAMCyN3bs2Nx8883ZcccdK2Nz5szJDTfckNVXX32++7zyyiu57bbbMmrUqOy0005JkvXXX7+y/dJLL83Xvva1Bi97uPrqq7P22mvnlVdeyZe//OVGx5w4cWJatGiRLl26NBjfdtttc/HFF2fevHkLvY4111wzEydO/MzrBQBozsygAwBYQdx7771ZZZVV0qZNm/Tq1Svbb799hg0bVtm+7rrrLjCcS5IJEyakRYsW6d2793y3jx8/Po8++mhWWWWVymejjTZKkvzf//3ffPeZNWtWqqurU1VV1WD8pptuytZbb51TTjklZ511Vnr16pXf/e53jfZv27ZtPvjgg8+8dgCA5swMOgCAFcS3vvWtXHrppWnVqlW6du2aVq1aNdjerl27he7ftm3bhW6fN29evv3tb+fcc89ttG2NNdaY7z6dO3fOBx98kDlz5qR169YNxocNG5bjjz8+55xzTtZbb71873vfy/33358+ffpU6v75z38uNFQEAPgiMIMOAGAF0a5du3zpS1/Kuuuu2yicWxSbbrpp5s2bl9GjR893+9e+9rW88MILWW+99fKlL32pwWdB4d/mm2+e5F8vl1iQurq6nHTSSdl8880bPW/u+eefzxZbbNHkawEAaE4EdAAALJL11lsvAwYMyMEHH5y77rorr776ah577LHcdtttSZKjjjoq//znP7P//vtn7Nix+fvf/54HH3wwBx98cObOnTvfY66++ur52te+lieeeKLB+CGHHJKxY8fm/fffz+zZs3PHHXfkhRdeSM+ePRvUPf744w1m1AEAfBEJ6AAAWGSXXnppvvvd7+bII4/MRhttlEMPPTTvv/9+kqRr16753//938ydOze77LJLevTokeOOOy41NTVZaaUF/9/Oww47LDfddFODsS5duuTggw/ON77xjZx//vkZNGhQfvGLX2Tvvfeu1IwZMyb19fX57ne/u1SuFQBgWakqiqIouwkAAFZcH374YTbccMOMGDEivXr1arBt4sSJufbaazN48OBG++27777ZYostcsoppyyjTgEAlg4z6AAAKFWbNm1y/fXX55133lnkfWbPnp2vfvWr+dGPfrQUOwMAWDbMoAMAAACAEplBBwAAAAAlEtABAAAAQIkEdAAAAABQIgEdAAAAAJRIQAcAAAAAJRLQAQAAAECJBHQAAAAAUCIBHQAAAACUSEAHAAAAACUS0AEAAABAif4/D4tEphiNscUAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the distribution of prices\n", + "\n", + "prices = [float(item.price) for item in sample]\n", + "plt.figure(figsize=(15, 6))\n", + "plt.title(f\"Avg {sum(prices)/len(prices):.2f} and highest {max(prices):,.2f}\\n\")\n", + "plt.xlabel('Price ($)')\n", + "plt.ylabel('Count')\n", + "plt.hist(prices, rwidth=0.7, color=\"darkblue\", bins=range(0, 1000, 10))\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "id": "a9bdc6d5-3766-4251-81bb-a1bcebe80ce1", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "category_counts = Counter()\n", + "for item in sample:\n", + " category_counts[item.category]+=1\n", + "\n", + "categories = category_counts.keys()\n", + "counts = [category_counts[category] for category in categories]\n", + "\n", + "# Create bar chart\n", + "plt.figure(figsize=(15, 6))\n", + "plt.bar(categories, counts, color=\"lightgreen\")\n", + "\n", + "# Customize the chart\n", + "plt.title('How many in each category')\n", + "plt.xlabel('Categories')\n", + "plt.ylabel('Count')\n", + "\n", + "plt.xticks(rotation=30, ha='right')\n", + "\n", + "# Add value labels on top of each bar\n", + "for i, v in enumerate(counts):\n", + " plt.text(i, v, f\"{v:,}\", ha='center', va='bottom')\n", + "\n", + "# Display the chart\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "id": "8d692349-6814-4b02-aa20-705279ee5295", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "<|begin_of_text|>Question: how much does this cost to the nearest dollar?\n", + "\n", + "Title: Classic Hoyer Lift C-HLA\n", + "Details: The Classic Hoyer Lift is an economical homecare patient lift with a 400-lb weight capacity. The narrow 24 leg width makes getting into tight spots easier than other Patient Lifts. For more than 50 years, Hoyer lifters have defined the lifter category. From Ted Hoyer's early designs in the 1950's to more efficient models built with modern designs and materials, the Hoyer name has always stood for innovation. Today's lifters use state-of-the-art ergonomic design and quality components. The result's a lifter that you can always depend on. The Classic Hoyer Lift has proven to be a durable patient lifter that has assisted patient transferring for over forty years. The Classic Hoyer Lift's chrome finish and adjustable U-base has set the standard for lifters in both clinical and homecare settings. This easy to operate hydraulic pump lifter enhances smooth transferring that surpasses quality throughout the industry. The basic cradle configuration of the C-HLA uses a 2-point sling and requires use of chains and sling combinations appropriate for patient requirements. Uses 4 caster wheels so low base clears most beds. Spreader-bar is easy to operate, base opens up to 39.5 when legs are spread. Features Innovative 6-point cradle works with an array of Hoyer slings, including 2, 4, and 6-point slings Extended reach for floor pick-up capabilities Adjustable legs 400 lb. resident capacity Long-wearing chrome finish maintains appearance Mast and base separate for\n", + "\n", + "Answer: Price is $924.00<|end_of_text|>\n", + "[271, 16533, 25, 8650, 374, 400, 23890, 13, 410, 128001]\n", + "['\\n\\n', 'Answer', ':', ' Price', ' is', ' $', '924', '.', '00', '<|end_of_text|>']\n" + ] + } + ], + "source": [ + "report(sample[400000])" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "id": "6a28fa68-392a-4d8d-8c72-eeea4615d937", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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oIPr27Su8vLzE/fv3xdy5c4W9vb2Ij48XQgjx+eefCzc3N905Y8eOFf379y9ShoKOnTlzprC3txdCCHH27FkBQLRt21acO3dO3L17V3Ts2FG0b99ed/z+/fuFkZGR+PXXX0VAQIBYtWqVUCgU4syZM7pjAIgaNWqI7du3i8DAQDFr1ixhaWmpew0PHz4UlStXFgsWLBD+/v7ixo0bokePHqJr1666x5VKpfj+++9FaGiouH37tvj1119Fampqoa/x9OnTYtu2bcLPz0/4+fmJCRMmCAcHB5GSklLkfBEREcLExETMnj1b3Lt3T/z555/CwcFBABCJiYlFeq9TUlKEhYWFuHPnjlCr1cLBwSHfe5Samirq1q0rOnbsKC5evCgCAwPFrl27hKenpxBCiMOHDwuFQiEWL14s/Pz8hI+Pj/j66691548YMUK0b99eXLhwQQQFBYkVK1YIExMTcf/+fSGEEO+8847o0aOHuH37tggODhaHDh0S58+fF0IIMX36dNG8eXPh5eUlQkNDxcmTJ8U///wjhBAiPT1dVK9eXQwcOFD4+vqK06dPizp16oixY8fqnnvs2LHC0tJSjB49Wty5c0f4+voKIYSoVauW+OGHH4QQRftebty4sRg1apTw9/cX9+/fF7t37xY+Pj5Fen9LUvv27cWPP/4ohBBCpVKJypUri5MnTwoh/v9nYufOnbrj4+PjhZmZmdi1a5cQQohNmzYJAOLKlSu6Y/z9/QUAcfXqVSFE8X9uY2NjBQDdexsaGioAiPXr1+uOuXv3rgAg/P39xdixYwUA4ejo+My1pk6dKgAIhUKh+/7KM2HCBDF8+HAhhBB9+/YV77//fqHvV2xsrEhPTy/0uKLq3LmzmD17dokfWxQAxIEDB0rselLJ+z4t6p9PRERE5QVLNyIiEkIIcfXqVQFA7N+//7nHnD59WlhbW4usrKx897/22mti7dq1QoiSLd2uXr0q7O3txZAhQ4QQ//8Xt1OnTumOOXLkiAAgMjMzhRC5BcWkSZPyXXfw4MGiT58+us8BiIULF+o+T0tLEzKZTPz7779CCCEWLVok3n777XzXiIyMFABEQECA8Pb2FgBEWFhYkV7Xi6jVamFlZSUOHTpU5HwLFiwQDRs2FFqtVnfM//73v2L9pfaPP/4QzZs3130+e/ZsMXLkSN3na9euFVZWVroC6mnt2rXLd/yTgoKChEwmE1FRUfnu79atm1iwYIEQQoimTZuKJUuWFHj+i8qVP/74Q9jZ2Ym0tDTdfUeOHBFyuVzExMQIIXK/jxwcHER2dna+c58s3YryvWxlZSU2b95cYI6ycu/ePaFUKnWvTYjcUjKviMr7mQgPD893XvPmzXXv76ZNm4RSqRRqtTrfMba2trrXV9jPbVBQkBg+fLioU6eOsLKyEhYWFgKAOHLkiBDi/0u3a9eu6c5JSEgQAMT58+fF2LFjhVKpFCYmJiIjI0N3TGZmprC1tdWVxhYWFvluRkZG4vXXXxdCCHH06FFhZmYm3NzcxMcffyw8PDxe9m0tFn0v3XJyckrs+UoLSzciIqqoOL2UiIgAQDddTSaTPfcYb29vpKWlwd7eHpaWlrpbaGhovvWdXsXhw4dhaWkJU1NTtGvXDp06dcLPP/+c75hmzZrpPq5WrRoAIDY2FgDg7++PDh065Du+Q4cO8Pf3f+41LCwsYGVlpbuGt7c3zp49m+81NmjQAAAQHBwMNzc3dOvWDU2bNsXgwYOxbt06JCYmFmkH0djYWEyZMgUuLi6wsbGBjY0N0tLSnlkc/0X5/P398cYbb+T7WrVr1+65z1mQDRs2YNSoUbrPR40ahf379+uy+/j4oEWLFqhUqVKB5+dNFSzIjRs3IISAi4tLvvfw/Pnzuu+TWbNm4auvvkKHDh3w+eef4/bt27rzp06dip07d6J58+aYP38+PD09dY/5+/vDzc0NFhYWuvs6dOgArVabb5px06ZNYWxs/NzXX5Tv5Tlz5mDixIno3r07vvvuuxL7Hi+ODRs2QK1Ww8nJCUqlEkqlEr/99hv279+vWwvteZ7+WS7oZ/tFP+9P6tu3L+Lj47Fu3TpcvXpVN804b728PEZGRs9cO28KqoWFBWxsbLB//37dMfv374ezs7NuCvCRI0dgY2OD2bNnw8fHB35+fti7dy+aN2+Oq1evIjw8HB9++KFujTmFQoHq1atj1qxZums+Pb00KSkJkydPhoODA0xNTdGkSRMcPnwYABAfH4/hw4ejRo0aMDc3R9OmTbFjx44ivSdFUbt2bXzzzTcYP348rKysULNmTfzxxx+6x3NycjBjxgxUq1YNpqamqF27Nr799lvduQDw7rvvQiaT6T7P2yF648aNug1vhBAFTqtt3rw5lixZovtcJpNh7dq1cHd3h7m5ORo2bIjLly8jKCgIXbp0gYWFBdq1a/fM9/qhQ4fQqlUrmJqaom7duli6dKlu2nDedZ83JT4sLAxdu3YFANjZ2UEmk2HcuHEAXn6aPhERkaFg6UZERACA+vXrQyaTPVNOPUmr1aJatWrw8fHJdwsICMDHH3/8zPEymQxbtmzB33//rduV9Mlb3l+8ntS1a1fdNbOysrB//35UrVo13zEv+ov9k/flEUI8c9+T18g7J+8aWq0Wffv2feZ1BgYGolOnTlAoFDh58iT+/fdfNGrUCD///DNcXV0RHR393Pcuz7hx4+Dt7Y0ff/wRHh4eWLBgARQKBebMmQNLS0s0btwYAPKtH/d0PvHUel7F5efnh6tXr2L+/Pm6IueNN95AZmamrnAwMzN74TVe9LhWq4VCoYC3t3e+98/f3x+rV68GAEycOBEhISEYPXo0fH190bp1a1252rt3b1258vDhQ3Tr1k23mUZBX8s8T97/ZCn3vIyFfS8vWbIEd+/exTvvvIMzZ86gUaNGOHDgwAuvW5LUajW2bt2KVatW5ct469Yt1KpVC3/99Zfu2Lw1F4HcNfHu37+vK4rzrvXkenQBAQFISkrKd8zzxMfHw9/fHwsXLkS3bt3QsGHDQgu/glhbW8PCwiLf+nwbN27UFVJyuRwREREwMjJClSpVUK9ePdSrVw/Ozs6646tUqQJLS0uEh4dj+vTpMDc3x8GDB9G0adMCn1Or1aJ3797w9PTEn3/+CT8/P3z33XdQKBQAgKysLLRq1QqHDx/GnTt3MHnyZIwePTrf2oWvatWqVWjdujVu3ryJadOmYerUqbh37x4A4KeffsI///yD3bt3IyAgAH/++aeuXPPy8gIAbNq0CdHR0brPASAoKAi7d+/Gvn374OPjU6w8X375JcaMGQMfHx80aNAAI0aMwAcffIAFCxbovkdmzJihO/748eMYNWoUZs2aBT8/P6xduxabN2/G119/ne+6S5cuxZAhQ3D79m306dMHI0eOREJCApydnbFv3z4Aud930dHRWL16NaKjozF8+HCMHz8e/v7+OHfuHAYOHPjKf74RERHpFQlH2RERkZ7p1auXcHJyyjd1L09iYqI4ceKEUCgUIjQ09LnXeHKaWnR0tBgyZIjo2bOn+PHHH4W1tbWIjo7W3ZKSkvKdW9hU1IKmKN28eVMA0GV63vTSd955R/c5CpiyZWNjIzZt2iSEEOLTTz8Vrq6uQqVSPTfLk9RqtXByctKtTfWiKVSWlpZi69atQqvVimHDhgkTExMBQMyePVsEBweLU6dOCQC69eMKypc3vfRJn3zySZGnb82ZM0d06tRJ+Pr65rvNnz9ftGrVSgghxObNm4W1tfVzp5d26dLludNLAwICBABx4cKFQrM8mb9p06YFPvb7778LKysrIUTRp5cW9H305PTSonwvP23YsGGib9++RT7+VR04cEAYGxs/83MiRO73aPPmzXU/E40bNxanTp0Svr6+ol+/fqJmzZq66bWbNm3STdO8cuWK8Pb2Fu3atRNvvPGG7novml6q0WiEvb29GDVqlAgMDBSnT58Wbdq0yfdzlDe99ObNm7prJCYmCgDi7NmzYuzYsaJbt27C2NhYyOVycfToUXHq1CmhVCrFvXv3RP/+/UXTpk2Fvb29sLe3F5999pm4ceOG+OWXX8TmzZuFm5ub6NSpkzh48KBYsGCBqFWrlujTp49u6umTnvw6Hz9+XMjlchEQEFDk971Pnz5i7ty5us9fZXpprVq1xKhRo3Sfa7VaUbVqVfHbb78JIXLXrHzrrbfyTRV/UkF/Vn3++efCyMhIxMbG5rv/ydedx83NTXz++ef5rvfk1PXLly8LAGLDhg26+3bs2CFMTU11n3fs2PGZtT63bdsmqlWr9tzrPj0lvqA/u0tymj4REZG+4kg3IiLSWbNmDTQaDV5//XXs27cPgYGB8Pf3x08//YR27dqhe/fuaNeuHQYMGIDjx48jLCwMnp6eWLhwYYG7Ojo6OsLMzAympqawsbGBTCaDo6Oj7rZ9+/Z8u4w+OaVp/PjxcHd3z3e9vF0O//zzTwC5U5MGDx4MAGjRogW6d++OmTNnYvPmzfj9998RGBiI77//Hvv379eNlMqzZMmSfDuI5l0bAKZPn46AgAC88cYb6NKlC8zMzODk5ITu3btDo9Hg6tWr+Oabb7B69WrUrVsXZmZmePjwIUxNTQt9j+vVq4dt27bh+++/x86dO/Haa6/BzMwMtWvXRt26dXVTNmfOnKk7x8vLC+np6Zg5cyZsbGxw5swZBAYGYs6cOQgICMD27dvx3XffAQCGDh36wmlj9+7dw7Zt2zB8+HA0adIEoaGhGDt2LFq3bo3t27fD29sb3t7eGD58OBwdHdGiRQs4ODjAxMQElSpV0r3fn3/+OXbs2IHPP/8c/v7+8PX1xfLlywEALi4uGDlyJMaMGYP9+/cjNDQUXl5eWLZsmW6H0g8//BDHjx9HaGgobty4gTNnzqBhw4YAgMWLF+Pvv/9GUFAQ7t69i8OHD+seGzlyJExNTTF27FjcuXMHZ8+excyZMzF69Gg4ODgU+v7nKex7OTMzEzNmzMC5c+cQHh4ODw8PeHl56XKUhQ0bNqB79+6wsbF55rH33nsPPj4+up1vv/vuO8yePRutWrVCdHQ0/vnnn3zTa83NzfG///0PI0aMQLt27WBmZoadO3cWKYdcLsfOnTvh7e2NJk2a4KOPPsKKFSuK/XosLS1x4sQJ2Nraom/fvnB3d4e9vb3u69aiRQssXrwYycnJ+O6779CzZ08cOnQIderUAQAoFAosWLAAP/zwAyIjI3HmzBnUqVMHBw4cyDfV8Uk+Pj6oUaOGbvrq0zQaDb7++ms0a9ZMN9X4xIkTz0z3fhVPThXP+zMwb6r4uHHj4OPjA1dXV8yaNQsnTpwo0jVr1aqFKlWqvHKevPf+yZGCDg4OyMrKQkpKCoDcqdhffPFFvmnYkyZNQnR0NDIyMgq87tNT4gvyvGn6RERE5QlLNyIi0qlTpw5u3LiBrl27Yu7cuWjSpAl69OiB06dP47fffoNMJsPRo0fRqVMnjB8/Hi4uLhg2bBjCwsKKVXgAwIEDBzB79mzMnTsXd+7cwQcffAAPDw88fvwYQO70w2PHjuWbspk3hW7AgAG6qUn9+/cHAOzYsQMDBw6Eu7s7Vq9ejRUrVqBx48ZYu3YtNm3ahC5duuR7/i5duuDixYu4cuUK6tevj/T0dGRmZgIAqlevDiB3GqaXlxeEEMjMzMSFCxeQlJQEa2trHD9+HB9++CEiIiLg5OSE0aNHY/v27YW+7o0bNyIxMRHz58+HkZERli5d+sz0WSD/VMnU1FQYGRlhwYIFuHLlCpo0aQJLS0v8/fffcHNzw++//647dtiwYS+cNjZ8+HDEx8fj3XfffWba2MaNG2FkZIRp06bB2NhYN70zNTUVcrkcDg4OqF+/vu7927NnD/755x80b94cb731Vr4peZs2bcKYMWMwd+5cuLq6ol+/frh69apuqqBGo8H06dPRsGFD9OrVC66urlizZg0AwNjYGAsWLECzZs1003nzCiJzc3McP34cCQkJaNOmDQYNGoRu3brhl19+KfS9f/r9fdH3skKhQHx8PMaMGQMXFxcMGTIEvXv3xtKlS4v1PK/i0KFDOHLkSIGPtWzZEkIItGzZEgDw5ptv4s6dO8jOzsa1a9fg5ub2zDkDBw5EcHAwsrOzcfr0adSqVUv32JIlS/JNU9y8eTMOHjyo+7x79+7w8/NDVlYWbt26hc6dO0MIgQEDBgDIXX9MCIHmzZvrzrG1tYUQIt/PXufOnbF161Y4OzvD0dERGzduhK2tLYDcr8msWbPg7OyMFStWIDY2FseOHUOnTp2gUqnQqVMn+Pn5ITMzE2lpadi1axeqVq2KadOm6Y55WmHTpFetWoUffvgB8+fPx5kzZ+Dj44OePXs+s1bdq3jRVPaWLVsiNDQUX375JTIzMzFkyBAMGjSo0GsWNH1aLpc/MzWzoPekoOn5L5qyr9VqsXTp0nxTnH19fREYGJjvHxpe9DoL8rxp+qGhoc89h4iIyOBIOcyOiIgqjk2bNgkbGxvd50XZZbRRo0Zi2bJlus8HDBggxo0bJ4Qo2alJUuwg2qBBA9GvX798982ePVu3a6OTk9Mr5S2JaWOrVq0SLi4uBrE7YkVVlF0hn/7Zk8KT01XVarWoXr26qF69um5H1f79+4uxY8cKIYR4/fXXxccff6w7Nzk5WZiZmeWbJvmke/fuCQDC29tbCJF/muW5c+deOL3U3d1djB8/Xve5RqMRLi4u+aYnv+r00sKmfD7p2LFjAoBuWreRkZHYu3dvvmOengqcpyjvG56arlrQtOCnv6fat2+f7z0qyNPXFSL/lHgPDw8BQMTFxT33GnnT9FetWvXC5yIiIjIkHOlGRESSKMouoxMnTtQtuh4bG4sjR45g/PjxAF5tapK+7CD69IYAn332GXx8fLB48WKkpaW9Ut6SmDY2ePBgZGZmom7dupg0adILp/ERFZVCoYC/vz/8/f11Gxo86a233sK2bdtw8eJF3LlzB2PHjs133ObNm7FhwwbcuXMHISEh2LZtG8zMzPKN3MvTuXNndOrUCe+99x5OnjyJ0NBQ/Pvvvzh27BiA3OneJ0+ehKenJ/z9/fHBBx8gJiam9F78U3744Qfs3LkT9+7dw/3797Fnzx44OjrqRv/Vrl0bp0+fRkxMTKF/vhX2vr2sxYsXY+vWrbqNRfz9/bFr1y4sXLiwyNeoVasWZDIZDh8+jMePHyMtLU03Tf/69euIiIjA/v378fjx4zKdwk1ERFTaWLoREVGZiI+PR3Jysq7cSUxMxOTJk3WfR0REPLMz5ZgxYxASEoLLly/rdvXr2LEjgFebmvTkDqKenp7w8fGBvb39M1PKXjRdSrxghz0nJ6d8RVbe7eLFi7pj6tevr9vBME/ejo1PTzctbt7evXvrdkHt1KmT7vn79OkDoOjTxpydnREQEIBff/0VZmZmL5zGR9Lo0qULhBC6kqYg48aNQ1JSUpllKgpra2tYW1sX+NiCBQvQqVMnuLu7o0+fPhgwYABee+013eO2trZYt24dOnTogGbNmuH06dM4dOgQ7O3tC7zevn370KZNGwwfPhyNGjXC/PnzdWs4Llq0CC1btkTPnj3RpUsXODo66qbMlgVLS0ssW7YMrVu3Rps2bRAWFoajR49CLs/9FX3VqlU4efIknJ2d0aJFixdeq7D37WX17NkThw8fxsmTJ9GmTRu88cYb+P777wssOZ/HyckJS5cuxSeffAIHBwfMmDED1tbWuHDhAvr06QMXFxcsXLgQq1atQu/evV85MxERkd6QeKQdERFVEOvXrxdWVlYiMDBQBAYGipYtW4qhQ4fqPlepVM/sMiqEEEOGDBGTJk0STZo0eWYq5JOKMzUpbwfRPBEREQJAvmlgKGS61It2EPX29ta9ridvGRkZumO3b98uAIiDBw8+k+/p6YDFzfvgwQPdFLG///5b9/x//vlnsaeNPenpaXxERERERPR8SsnaPiIiqlAUCgXkcjnq1asHIHeEyZAhQ9ClSxd069YNP/30E/bv349Tp07lO2/ixIlwd3eHRqPB2LFjdfdfvXoVp0+fxttvv42qVavi6tWrRZ6alLeDaOvWrZGSkoKPP/640AXXnzZlyhSsWrUKc+bMwQcffABvb29s3rwZAFC3bt0XjjwCcjc82L9/P4YNG4YFCxagZ8+ecHBwQHh4OHbt2pVvWlhx8zo5OelGo9WsWVP3nj948CDfcYsXL4a7uzucnZ0xePBgyOVy3L59G76+vvjqq6+wefNmaDQatG3bFubm5i+cxkdERERERPlxeikREUliwIABRdpltHv37qhWrRp69uyp21UUwCtNTcrbQbRFixYYPXo0Zs2aVeAOoi9Ss2ZN7Nu3D4cOHdLtIPrNN98U+XyZTIZdu3bhxx9/xNGjR9GtWze4urpi/PjxcHZ2xqVLl0o0b0EKmzZW3Gl8ROXZxYsXC5w2nncjIiIieppMiBcsSkNERCSxjIwMVK9eHRs3bsTAgQOljkNEFVRmZiaioqKe+3jeiFIiIiKiPCzdiIhIL2m1WsTExGDVqlXYu3cvgoODoVRyVQQiIiIiIjIMnF5KRER6KSIiAk5OTti9ezc2btxYrMLtRVPAntxBtDT17t37uRmKMw2ViIiIiIgME0e6ERFRuRMUFPTcx5ycnIq9acLLiIqKQmZmZoGPVapUCZUqVSr1DEREREREJB2WbkRERERERERERCWM00uJiIiIiIiIiIhKGEs3IiIiIiIiIiKiEsbSjYiIiIiIiIiIqISxdCMiKgVhYWGQyWTw8fGROorkZDIZDh48KHUMIiIiIiKiMsXSjYgKNW7cOMhkMt3N3t4evXr1wu3bt8s0x7lz5yCTyZCUlFSmz1va8gq6vJudnR06deqE8+fPSx1NEmfPnkWfPn1gb28Pc3NzNGrUCHPnzkVUVJTU0YiIiIiIiIqMpRsRFUmvXr0QHR2N6OhonD59GkqlEu7u7lLHKldOnTqF6OhonD9/HtbW1ujTpw9CQ0Nf6lo5OTklnK5srF27Ft27d4ejoyP27dsHPz8//P7770hOTsaqVate+rqG+n4QEREREZHhYulGREViYmICR0dHODo6onnz5vjf//6HyMhIPH78GAAQFRWFoUOHws7ODvb29ujfvz/CwsJ053t5eaFHjx6oXLkybGxs0LlzZ9y4cUP3eEHTMZOSkiCTyXDu3DmEhYWha9euAAA7OzvIZDKMGzcOW7duhb29PbKzs/Plfe+99zBmzJhCX1dwcDD69+8PBwcHWFpaok2bNjh16lS+Y2rXro1vvvkG48ePh5WVFWrWrIk//vgj3zHXrl1DixYtYGpqitatW+PmzZtFel+fZG9vD0dHRzRr1gxr165FRkYGTpw4AQDw8/NDnz59YGlpCQcHB4wePRpxcXG6c7t06YIZM2Zgzpw5qFy5Mnr06AEAWLJkCWrWrAkTExNUr14ds2bN0p2TmJiIMWPGwM7ODubm5ujduzcCAwN1j2/evBm2trY4fvw4GjZsCEtLS135mqewr2txPHjwALNmzcKsWbOwceNGdOnSBbVr10anTp2wfv16LF68GAAQHx+P4cOHo0aNGjA3N0fTpk2xY8eOfNd63vtR2PtIRERERERUUli6EVGxpaWl4a+//kK9evVgb2+PjIwMdO3aFZaWlrhw4QIuXbqkK2jyRhilpqZi7NixuHjxIq5cuYL69eujT58+SE1NLdJzOjs7Y9++fQCAgIAAREdHY/Xq1Rg8eDA0Gg3++ecf3bFxcXE4fPgw3n///SK9lj59+uDUqVO4efMmevbsib59+yIiIiLfcatWrdKVadOmTcPUqVNx7949AEB6ejrc3d3h6uoKb29vLFmyBPPmzSvS63oec3NzAIBKpUJ0dDQ6d+6M5s2b4/r16zh27BgePXqEIUOG5Dtny5YtUCqV8PDwwNq1a7F371788MMPWLt2LQIDA3Hw4EE0bdpUd/y4ceNw/fp1/PPPP7h8+TKEEOjTpw9UKpXumIyMDKxcuRLbtm3DhQsXEBERke+1verX9Ul79uxBTk4O5s+fX+Djtra2AICsrCy0atUKhw8fxp07dzB58mSMHj0aV69efeH7UdT3kYiIiIiIqEQIIqJCjB07VigUCmFhYSEsLCwEAFGtWjXh7e0thBBiw4YNwtXVVWi1Wt052dnZwszMTBw/frzAa6rVamFlZSUOHTokhBAiNDRUABA3b97UHZOYmCgAiLNnzwohhDh79qwAIBITE/Nda+rUqaJ37966z3/88UdRt27dfHmKo1GjRuLnn3/WfV6rVi0xatQo3edarVZUrVpV/Pbbb0IIIdauXSsqVaok0tPTdcf89ttvz7ye53n6taelpYkPPvhAKBQKcfv2bbFo0SLx9ttv5zsnMjJSABABAQFCCCE6d+4smjdvnu+YVatWCRcXF5GTk/PMc96/f18AEB4eHrr74uLihJmZmdi9e7cQQohNmzYJACIoKEh3zK+//iocHBye+1qe/roKIQQAceDAgULfh6lTpwpra+tCjytInz59xNy5c3WfF/R+FOV9JCIiIiIiKikc6UZERdK1a1f4+PjAx8cHV69exdtvv43evXsjPDwc3t7eCAoKgpWVFSwtLWFpaYlKlSohKysLwcHBAIDY2FhMmTIFLi4usLGxgY2NDdLS0p4ZUfYyJk2ahBMnTugW2t+0aZNu84fCpKenY/78+WjUqBFsbW1haWmJe/fuPZOrWbNmuo9lMhkcHR0RGxsLAPD394ebm5tudBoAtGvXrtivo3379rC0tISVlRUOHTqEzZs3o2nTpvD29sbZs2d1762lpSUaNGgAALr3FwBat26d73qDBw9GZmYm6tati0mTJuHAgQNQq9W6zEqlEm3bttUdb29vD1dXV/j7++vuMzc3x2uvvab7vFq1arrXDZTs11UIUaSvmUajwddff41mzZrB3t4elpaWOHHixDPP+fT7UdT3kYiIiIiIqCQopQ5ARIbBwsIC9erV033eqlUr2NjYYN26ddBqtWjVqhX++uuvZ86rUqUKgNypjI8fP8aPP/6IWrVqwcTEBO3atdNNP5XLc/8NQAihO/fJaY4v0qJFC7i5uWHr1q3o2bMnfH19cejQoSKd+/HHH+P48eNYuXIl6tWrBzMzMwwaNOiZhfeNjIzyfS6TyaDVap/J/Cp27dqlK//s7e1192u1WvTt2xfLli175pxq1arpPrawsMj3mLOzMwICAnDy5EmcOnUK06ZNw4oVK3D+/PnnZn66+CrodT95bmFf1+JwcXFBcnIyoqOj872up61atQo//PADfvzxRzRt2hQWFhb48MMPn3nOp9+Por6PREREREREJYGlGxG9FJlMBrlcjszMTLRs2RK7du1C1apVYW1tXeDxFy9exJo1a9CnTx8AQGRkZL4F7PPKuejoaLRo0QIA8m2qAADGxsYAckc6PW3ixIn44YcfEBUVhe7du8PZ2blIr+PixYsYN24c3n33XQC5a7w9uQFEUTRq1Ajbtm1DZmYmzMzMAABXrlwp1jWA3JLsyVFleVq2bIl9+/ahdu3aUCqL98e2mZkZ+vXrh379+mH69Olo0KABfH190ahRI6jValy9ehXt27cHkLtBwf3799GwYcMiX7+wr2txDBo0CJ988gmWL1+OH3744ZnHk5KSYGtri4sXL6J///4YNWoUgNwyLTAwsNDcr/I+EhERERERFRenlxJRkWRnZyMmJgYxMTHw9/fHzJkzkZaWhr59+2LkyJGoXLky+vfvj4sXLyI0NBTnz5/H7Nmz8eDBAwBAvXr1sG3bNvj7++Pq1asYOXKkrqACcsuhN954A9999x38/Pxw4cIFLFy4MF+GWrVqQSaT4fDhw3j8+DHS0tJ0j40cORJRUVFYt24dxo8fX+TXVa9ePezfvx8+Pj64desWRowYoRvBVlQjRoyAXC7HhAkT4Ofnh6NHj2LlypXFusaLTJ8+HQkJCRg+fDiuXbuGkJAQnDhxAuPHjy+wgMyzefNmbNiwAXfu3EFISAi2bdsGMzMz1KpVC/Xr10f//v0xadIkXLp0Cbdu3cKoUaPg5OSE/v37FzlbYV/X4nB2dsYPP/yA1atXY8KECTh//jzCw8Ph4eGBDz74AF9++aXuOU+ePAlPT0/4+/vjgw8+QExMTKHXf9n3kYiIiIiI6GWwdCOiIjl27BiqVauGatWqoW3btvDy8sKePXvQpUsXmJub48KFC6hZsyYGDhyIhg0bYvz48cjMzNSNfNu4cSMSExPRokULjB49GrNmzULVqlXzPcfGjRuhUqnQunVrzJ49G1999VW+x52cnLB06VJ88skncHBwwIwZM3SPWVtb47333oOlpSUGDBhQ5Nf1ww8/wM7ODu3bt0ffvn3Rs2dPtGzZsljvjaWlJQ4dOgQ/Pz+0aNECn332WYFTGF9W9erV4eHhAY1Gg549e6JJkyaYPXs2bGxsdNNyC2Jra4t169ahQ4cOaNasGU6fPo1Dhw7ppq5u2rQJrVq1gru7O9q1awchBI4ePfrMlNIXKcrXtTimTZumW5/v3XffRYMGDTBx4kRYW1vrdk1dtGgRWrZsiZ49e6JLly5wdHQs0tf8Zd9HIiIiIiKilyETJbUYERGRxHr06IGGDRvip59+kjoKERERERERVXAs3YjI4CUkJODEiRMYOXIk/Pz84OrqKnUkIiIiIiIiquA4n4aIDF7Lli3xwQcfYNmyZc8Ubo0bN4alpWWBt4J2Wy0NU6ZMeW6GKVOmlEkGffDNN988933o3bu31PGIiIiIiIhKFEe6EVG5Fh4eDpVKVeBjDg4OsLKyKvUMsbGxSElJKfAxa2vrV1oDzZAkJCQgISGhwMfMzMzg5ORUxomIiIiIiIhKD0s3IiIiIiIiIiKiEsbppURERERERERERCWMpRsREREREREREVEJY+lGRERERERERERUwli6ERERERERERERlTCWbkRERERERERERCWMpRsREREREREREVEJY+lGRERERERERERUwpRSByAiIiLSB1qtQFqOGqlZaqRlqZGapUJ6jgaZORpkqf7/lqnSIkulQbZaC5VGi5wn/pujyf1YKwAhBIQAtEJAABACGJDtBW1SLGQAIJNBJpMBMhkUCiXkCgXkytz/KhRKKIyMcm9KIyiMlFAam8DI2ARGpqYwMjGBkYkpTK0coDSxhbGpEsamChibKaFQ8t9UiYiIiPQBSzciIiIqX7RaID0WyEgAMhOAzMTcW8YTH2cmAJlJQGYizlr1xczAFkjPUUOI0o32piYQKRFBJXa9ms0GIDaybr775EpZvhLOxNwI5lZGMLMyhpm1Mcz/+6+ZlZHuYyNjRYllIiIiIqJcLN2IiIjIsGQkAMmRQHIUkBL11McPgNRoQKsu8uWsjdsgLbvox+sTUcCvclq1QFaaCllpqiJfR2mi0BVz5tbGuQWdlZHuYwsbE1jZm8LC1gRyuawkXwIRERFRucXSjYiIiPRHTvp/BdqD3AIt+b8iLeXB/xdrqowSfUpLpJfo9cqSEEYlch11tgYp2RqkxGW98Di5XAYL29wCzqqSab7/WlfO/Viu4PRWIiIiIoClGxEREZW15AfA4wAg7j4QH/xfufZfsZaZWOZxLIQBl27asv1VTqsVSE3IQmpCweWcXC6DZSUTWFc2g3UVM9hUNoN1ZTPYVDGDTVUzGJvyV08iIiKqOPibDxEREZU8jQpICPmvXAsA4gJzP44PAnLSpE6Xj5lGv/IUh1ajX7/KabUCKXFZuSPm7j1boFpWMkGlapawr26BSv/d7KpZcE05IiIiKpf06zc1IiIiMixaLZAYCsT6AY/8gNi7QKx/buFWjHXVpGSiTpU6wkvTt9KtMGkJ2UhLyEbE3XjdfTIZYGVvikrVLXOLuGr/FXKOFlAYcaoqERERGS7D+k2NiIiIpJMeDzy681/Bdjf3v7H3AJXhTs8EACMDLt00asMfISYEdKPjwm7H6e6XyWWwqWL2/yVcdQtUrmEJ26rmkHEzByIiIjIALN2IiIjoWTkZwMMbQOQ14MF1IMobSIuROlWpUOakSB3hpanLQen2PEIrkPQoA0mPMhDi81h3v5GpAlWcrVCllhWq1rJC1VrWsK1qLmFSIiIiooKxdCMiIqLc6aCRXsCDa8ADr9yRbAYyPfRVybMNt3TTqMpv6fY8qiwNHgYm4WFgku4+E3MlqtS0Qv3aWtSwSICZmxuMqlaVLiQRERERWLoRERFVPDnpQNSN3IIt0iu3ZMuIK/y8ckqmzoSFQot0jeGtH6bKqXilW0GyM9R4cC8R9tGhkP29EgCgrFYNZs2awczNDWZuzWDauDHkpqYSJyUiIqKKhKUbERFReRcfnFusRV7LLdoe+QFCI3UqvVLNJBtBGWZSxygWhZExILi22ZPMI310H6ujo5EaHY3U48dz7zAyglnjxjBv0wbmr7eBWYuWUFhaSBOUiIiIKgSWbkREROVJTnruGmwPvP7/lhFf+HkVXDVTwyvdjEw4autJcoUMpnc9nn+ASoVMHx9k+vggft06QKGAaaNGuSVc69Ywb90KCmvrsgtMRERE5R5LNyIiIkOmUeduchByFgg5l1u4aVVSpzI4DkZZUkcoNqWJCdRaqVPoD7tKCsiyM4t+gkaDLF9fZPn6ImHjRkAuh4mrK8zbtNYVcUo7u9ILTEREROUeSzciIiJD8/h+bsEWchYIuwQY8EYA+qKKsQGWbkamUGdLnUJ/2Clf8edAq0W2vz+y/f2RuHUbIJPBpF49mLdtC4sO7WHxxhuQmxnWaEgiIiKSFks3IiIiPZecmQibwFP/jWY7D6Q8kDpSuVNZYYilmwnA0k3HOimkZC8oBLIDA5EdGIjEP/+EzNgYZq1awvLNjrDo+CZMXVxK9vmIiIio3GHpRkREpGc0Wg1uPb6FS1GX4PHQA/cS7uH040xUTn0kdbRyy05RjGmJekJhZCJ1BL1iHnK9VK8vcnKQcfkKMi5fAVasgNLREZYd34TFmx1h0b4dFFZWpfr8REREZHhYuhEREemB+Mx4XHhwARejLuJK9BWk5qTme9yzRhP082fpVlps5RlSRyg2uYKlWx5jUwWMAm+U6XOqY2KQtGcvkvbsBZRKmLm56Uo408aNIJNxZ1kiIqKKjqUbERGRRMJTwnEm4gzORJzB7bjb0Irnr4rvYWaCfmWYraKxgSGWbsZSR9AblWwFZFqNdAHUamR6eyPT2xuPf1wNhb09LDt1glWP7rDo0AFyExakREREFRFLNyIiojIihIBvnC/ORp7FmYgzCEku+hpUVzIeQEAGGUQpJqy4LJEudYRiY+n2/2xFvNQR8tHExyP5wAEkHzgAmbk5LN98E1Y9esCyS2dOQyUiIqpAWLoRERGVIpVGhasxV3Em4gzORZ7D48zHL3WdhOwk+FdvhEYP75ZsQAIAWAjDK90gZ+mWxyruvtQRnktkZCD1xAmknjgBmZERzNu2hVX37rDq3g3KypWljkdERESliKUbERFRCctQZeDCgws4FXEKHlEeSFOllch1PavUYulWSsw0JfM1KksymZHUEfSG2T1PqSMUiVCpkH7pEtIvXULMF1/ArHnz3AKuR3cYOztLHY+IiIhKGEs3IiKiEpClzsLFqIs4FnoMF6MuIlNd8rthesiyMbHEr0oAYKJOLfwgvcORbgBgbqWEMipI6hjFp9Ui88YNZN64gdjly2HSoAGsenSHdZ8+MKlTR+p0REREVAJYuhEREb0klUaFS1GX8G/YvzgfeR4Z6tJdjN8nNRTpJlawyDbEgki/GRlk6caRbgBgb6WSOkKJyL53D9n37iHu519g2qQJbPq6w7pPHyirVJE6GhEREb0klm5ERETFoBVaeMV44WjoUZwMP4nUnLIra9RaNa7VdEPXwEtl9pwVhTInReoIxSYEf40DAJvsGKkjlLisO3eQdecOHi1fAYu2r8PavS+s3u4BhaWl1NGIiIioGPjbGhERURHcjbuLwyGHcSLsBGIzYyXL4WFlg66SPXv5Jc82vNJNq+VINwCwiL4jdYTSo9Eg3fMy0j0vI2bpUlh26QKbvu6w7NQJMmNOLyYiItJ3LN2IiIieIy4zDoeCD+HvoL8RnBwsdRwAgGf2y+1+Si8mU2fCQqFFukYudZQi02oVUkeQngwwu1sxRn6K7GykHj+O1OPHIbexgfXbb8Pa3R3mr7eBTCaTOh4REREVgKUbERHRE1RaFS48uICDgQdxKeoS1EItdaR8IjNiEGlfC87x4VJHKXeqmWQjKMNM6hhFplXz1zgbOyXkyXFSxyhz2uRkJO3Zg6Q9e6B0dIRN//6wHfQed0AlIiLSM/xtjYiICEBgYiAOBB3AkZAjSMhKkDrOC3lWc8VQlm4lrpqpYZVuGg1/jatkWrqblxgCdUwM4teuRfwff8C8bVvYDhoEq7d7QM7pp0RERJLjb2tERFRhpeSk4GjIURwMOoi78XeljlNkHsZyDJU6RDnkYJQldYRi0ag5vdQ6PVLqCPpDCGRcuYKMK1egsLGBdf9+sB00CKYuLlInIyIiqrBYuhERUYUihMDVmKvYf38/zkSeQbYmW+pIxXYtNQwquRGMtCqpo5QrVYwNrHRTsXSziLgldQS9pElORuLWbUjcug2mbs1gO2gQbPr0gdzCQupoREREFQpLNyIiqhCSs5NxMOgg9t7fi7CUMKnjvJJ0dQZuOTdD63BvqaOUK5WVhlW6qXIMZ9OH0iBXyGBy10PqGHov69ZtxNy6jdjvlsG6T2/YDhoEMzc3qWMRERFVCCzdiIioXLv9+DZ2BezC8bDjBjmq7Xk87RzRmsu6lahKcsNZH0yhVEJoK3bpVsleAVmOYRWlUtKmpyNpz14k7dkLExcX2A4dAtsBAzj6jYiIqBSxdCMionJHm52NlMOHEXD/CiZWPyZ1nFLhKdIwS+oQ5YytAZVuShNTqSNIzk6RLHUEg5V9/z4effkVHv+4GrYD34XdqFHc+ZSIiKgUsHQjIqJyQxUVhcQdO5C0dx80SUmwMTGB02xrRClSpI5W4vxTw5FoYQ+79Hipo5Qb1jCc0s3IxBRqIXUKaVknhUgdweBpU1ORsGUrErb9CctOnVBpzGhYtG8vdSwiIqJyo2LPSyAionIh/fJlRE6fgaC3eyJ+/QZokpIAACI7Gx9E1JM2XCnRCi0uOzeTOka5Yol0qSMUmdKII93MgrykjlB+aLVIO3cOEeMnINjdHYk7d0KbmSl1KiIiIoPH0o2IiAySNjsbibt2I9jdHRHvj0fa6dOARvPMcQ0vREABmQQJS5+HubnUEcoVC63hlG4KYxOpI0jK2FQBo6AbUscol3KCghGzZCkCu3TFo+UroIqKkjoSERGRweL0UiIiMiialBQkbt+BhD//hCYurtDjxcMYjEhqhm22fmWQrmxdzuRfhkuSmTZN6ghFpjCq2KWbva2ATFTw+bWlTJucjISNG5GwZQssu3ZBpVGjYfFGW6ljERERGRSWbkREZBBUMTFI2LwFSXv2QJtevBFJb3trsa1bKQWT0OOsBAQ4NoRrjL/UUcoFE3Wq1BGKTKGo2KWbrbbwwp1KiEaDtFOnkXbqNEwaNkTlSRNh1bMnZAqF1MmIiIj0HqeXEhGRXssOCsLDTxYgqMfbSNi8udiFGwCYXPdDsxyHUkgnPc+qtaSOUG4YqwyndJMrjKWOICnLuACpI1RI2f7+iJozF8F9+iBx125oc3KkjkRERKTXWLoREZFeyvD2RuSUqQjp2w/JBw8CKtXLX0yrxfjA6iWWTZ94Kp5dx45ejkJlOLvcyir4SDdzfw+pI1RoqvAIxHz+OYK7dUf8hg3QpBnOeohERERliaUbERHpDSEEUk+fRtjwEQgfOQpp584BJbRuk9OF+7AU5W900I2UUGQac0OFkiDPNqDSTWYkdQTJWFgpoYgOlToGAVA/fozYFSsR9NZbiP3hR6gTEqSOREREpFdYuhERkeRETg6S9u1DyDvueDB9BjJv3iz550hKxsRHDUv8ulLL0ebgurOb1DHKBZk6CxZKwxg5WJFLt0pWrzDqlUqFNiUF8WvXIuitboj54kvueEpERPQflm5ERCQZbVYW4jduQlD3Hoj+bCFyQkJK9fnaXUkq1etLxdPGXuoI5YaTSbbUEYpGVv5GbRaVTXa01BHoOURWFhK3b0dQz16Imj8fWffvSx2JiIhIUizdiIiozGlzcpCwdRuCevRA7PLlUMfGlsnzyvyD0SO9Tpk8V1nyyImXOkK5Uc1QSrcKvAG9ZfRdqSNQYdRqpPxzCKH9B+DBzJks34iIqMJi6UZERGVG5OQgcccOBPd4G4+++Qaax3FlnmGIn3WZP2dpC02PQrSds9QxyoWqxoZRuglRQaeXygDTOxelTkFFJQRST55C6IB3ETVnLrJDuBYfERFVLCzdiIio1Am1Gkl79yK4V2/ELP0C6kePJMtie/EOnDTlr3jzrO4qdYRyoYoyS+oIRVJRSzcbOyXkKRzZaXC0WqQcPYqQvn3x8H//Q05EhNSJiIiIygRLNyIiKjVCo0HSwYMI7vMOohcugurhQ6kjQWRnY3JEPaljlDgPk4pZwpQ0e6NMqSMUiUZTMaeXVjLNkDoCvQqNBsl//4PgPu/g4cKF3HCBiIjKvYr5GxsREZUqIQRSjh5F3K9rSn1zhJfR6GIkFHVk0EBIHaXEXEkLh0amgEIYxu6b+qqS3DBKN20FLd1s0iOljkAlQa1G8t59SPn7H9gMeg+Vp0yFkUNVqVMRERGVOI50IyKiEiOEQMqJEwjt1x8P587Ty8INAERUNIYlNZA6RolKVaXBt0ZTqWMYPFu5YYyk0qgVUkeQhHn4TakjUAkSKhWSduxE8NtvI+abb6COK/t1PomIiEoTSzciIioRqWfOIvS99xA1azayAwOljlOoXjekTlDyPO2dpI5g8KzB0k1fKZQymPhdljoGlQKRnY3ErdsQ1ONtxK5cCU1KitSRiIiISgRLNyIieiWZPj4IGzYcD6ZNQ7afv9RxiszE6y6a5pSv6UwewjAKI31miXSpIxSJWlXxSje7SgrIcgxjowt6OSIzE/HrNyC4x9tI2LIFQqWSOhIREdErYelGREQvRRUVhag5cxA2bDgyfXykjlN8Wi3GB9WQOkWJupsahmQzW6ljGDQLraGUbhXvVzg7RZLUEaiMaJKT8ejb7xD8jjtSjh2TOg4REdFLq3i/sRER0SvRpKUhdtUqBPd5BylH/5U6ziupcT4AlsJY6hglRiM0uFqzmdQxDJqZNk3qCIWSK5QQmoo30s0qUT/XiKTSo4qIQNSHHyFs2HBk3OR6fkREZHhYuhERUZEIjQaJO3Yg+O2eiF+3HiI7W+pIr0wkJWPio4ZSxyhRnhZWUkcwaCbqVKkjFMrIxETqCJIwD7omdQSSSKaPD8KHj8CDWbORExEhdRwiIqIiY+lGRESFSrtwASH9+yNm6RfQJCRIHadEtbuSLHWEEuWRFSN1BINmrNL/0k1pYiZ1hDJnbKaAUbCP1DFIYqknTiDkHXfEfPMNNElJUschIiIqFEs3IiJ6rqz79xExYSIiJ3+AnKBgqeOUCpl/ELpn1JE6RomJyXyMkKr1pY5hsBQq/d81UWlc8Ua62dtoIRNC6hikB4RKlbvT6ds9Eb9hI7Q5OVJHIiIiei6WbkRE9Ax1XByiFy1G6LsDke7hIXWcUjfkrrXUEUqUh8NrUkcwWPJsAyjdjCpe6WYr4qSOQHpGm5KC2BUrENK7D1KOHZc6DhERUYFYuhERkY42Oxtxv/+O4J69kLRnD6DRSB2pTNhduotqmvKzFpqHUit1BIMlU2fBQqnf3/eKCli6WcYGSB2B9JQqKgpRH36IiPETkB0SKnUcIiKifFi6ERERACDlxAkE9+6Nxz+uhjY9Xeo4ZUpkZeGDyPIzJfNGahhyFBWvmCkpTib6vUmIXFnxvrZm98r/iFt6Nemengjt3x+xq1ZBm5EhdRwiIiIALN2IiCq8nAcPEPHBB4iaNRvqh9FSx5FM44sPICsnS0ZlarLgXdNN6hgGq5qel24KhbHUEcqUhbUSyugwqWOQARAqFeLXrUdwn3eQ8u+/UschIiJi6UZEVFGJnBzE/f47Qtz7Iv38BanjSE48eIjhKQ2ljlFiPG2rSh3BYFU11u/STSavWKWbvSUXyqfiUcfEIOqjOQh//31kB5fPTYCIiMgwsHQjIqqA0q9cRciAd/H4x9UQWVlSx9EbvW9InaDkeKiTpI5gsKoo9ftnoqKVbjbZFXcELr2ajMtXEDLgXTxavqLCLZtARET6gaUbEVEFoo6PR9T8+YgYNw45ISFSx9E7JtfuoonKQeoYJSIwLQKxNtWkjmGQ7I0ypY7wQhWtdLOIuiN1BDJkKhUSNm5EcO8+SD58ROo0RERUwbB0KydkMhkOHjz4StcICwuDTCaDj4/Pc4/ZvHkzbG1tX+l5SlpRcpdXtWvXxo8//ih1jCIZN24cBgwYIHWMCktotUjcsQPBvfsg5Z9DUsfRX1otxgc6SZ2ixHg6NZY6gkGqJNfv0g0wkjpAmZHJANO7l6SOQeWAOjYWD+fNQ/iYscgOCpI6DhERVRAs3QxETEwMZs6cibp168LExATOzs7o27cvTp8+/VLXe9kCZOjQobh///5LPefLCgkJwfDhw1G9enWYmpqiRo0a6N+/f5nnMHSGVNBRycq8exdhw4YjZukX0KakSB1H7zlfuA9zbfkoNTxNK9aIqJJiq/elW8X5utpUUkKemiB1DCpHMq5dQ+i7A/H4l18hcrheIBERlS6WbgYgLCwMrVq1wpkzZ7B8+XL4+vri2LFj6Nq1K6ZPn16mWczMzFC1atktzp2Tk4MePXogJSUF+/fvR0BAAHbt2oUmTZogOTm5zHJQ6cvhL74lTpOWhpivvkbYkKHIun1b6jgGQyQmYeLjRlLHKBFX0iOhlfF/9cVlgzSpI7yQEEqpI5SZSiZch4tKnlCpEPfLLwh97z1kVsCZEkREVHb4m7gBmDZtGmQyGa5du4ZBgwbBxcUFjRs3xpw5c3DlypUCz/H19cVbb70FMzMz2NvbY/LkyUhLy/1LxJIlS7Blyxb8/fffkMlkkMlkOHfunO7ckJAQdO3aFebm5nBzc8Ply5d1jz09vXTJkiVo3rw5tm3bhtq1a8PGxgbDhg1Damqq7pjU1FSMHDkSFhYWqFatGn744Qd06dIFH374YaGv3c/PDyEhIVizZg3eeOMN1KpVCx06dMDXX3+NNm3a5Dv2RbkBYN++fWjcuDFMTExQu3ZtrFq1Kt/jOTk5mD9/PpycnGBhYYG2bdvme1/Cw8PRt29f2NnZwcLCAo0bN8bRo0cLfQ0ajQYTJkxAnTp1YGZmBldXV6xevTrfMXkjD1euXIlq1arB3t4e06dPh0ql0h0TGxuLvn37wszMDHXq1MFff/1V6HO/SHJyMiZPnoyqVavC2toab731Fm7duqV7TKFQwNvbGwAghEClSpXyvec7duxAtWr/v15UVFQUhg4dCjs7O9jb26N///4ICwt77vN36dIFM2bMwJw5c1C5cmX06NED48ePh7u7e77j1Go1HB0dsXHjxld6vRVNytGjCOndB4l//gloNFLHMTjtr5SPUj8xJxn+1TnFtLgskSF1hBfSaitO6WadFiF1BCrHsgODEDZiJGK+/gbaDP3+uSciIsPE0k3PJSQk4NixY5g+fTosLCyeebyg9dUyMjLQq1cv2NnZwcvLC3v27MGpU6cwY8YMAMC8efMwZMgQ9OrVC9HR0YiOjkb79u1153/22WeYN28efHx84OLiguHDh0OtVj83Y3BwMA4ePIjDhw/j8OHDOH/+PL777jvd43PmzIGHhwf++ecfnDx5EhcvXsSNG0XbIrBKlSqQy+XYu3cvNIUUBy/K7e3tjSFDhmDYsGHw9fXFkiVLsGjRImzevFl3/vvvvw8PDw/s3LkTt2/fxuDBg9GrVy8EBgYCAKZPn47s7GxcuHABvr6+WLZsGSwtLQt9DVqtFjVq1MDu3bvh5+eHxYsX49NPP8Xu3bvzHXf27FkEBwfj7Nmz2LJlCzZv3pwv37hx4xAWFoYzZ85g7969WLNmDWJjY4v0Pj5NCIF33nkHMTExOHr0KLy9vdGyZUt069YNCQkJsLGxQfPmzXWl4+3/Rkndvn0bKf9NTzx37hw6d+4MIPd7rmvXrrC0tMSFCxdw6dIlWFpaolevXi8cwbZlyxYolUp4eHhg7dq1mDhxIo4dO4bo6P/fqe7o0aNIS0vDkCFDXuq1VjSqR7GI/GAKoubMhfrxY6njGCy5XxDeyqgtdYwS4VHZWeoIBsdCq+cj3SpQ6WYRdlPqCFTeabVI3LYNIe59kXaR6wcSEVHJYumm54KCgiCEQIMGDYp8zl9//YXMzExs3boVTZo0wVtvvYVffvkF27Ztw6NHj2BpaQkzMzOYmJjA0dERjo6OMDb+//Vh5s2bh3feeQcuLi5YunQpwsPDEfSCBWe1Wi02b96MJk2aoGPHjhg9erRurbnU1FRs2bIFK1euRLdu3dCkSRNs2rSp0AItj5OTE3766ScsXrwYdnZ2eOutt/Dll18ipIBdF1+U+/vvv0e3bt2waNEiuLi4YNy4cZgxYwZWrFgBILc43LFjB/bs2YOOHTvitddew7x58/Dmm29i06ZNAICIiAh06NABTZs2Rd26deHu7o5OnToV+hqMjIywdOlStGnTBnXq1MHIkSMxbty4Z0o3Ozs7/PLLL2jQoAHc3d3xzjvv6N7H+/fv499//8X69evRrl07tGrVChs2bEBm5sutO3T27Fn4+vpiz549aN26NerXr4+VK1fC1tYWe/fuBZA7Ei2vdDt37pzu63fp0iXdfV26dAEA7Ny5E3K5HOvXr0fTpk3RsGFDbNq0CREREflGCz6tXr16WL58OVxdXdGgQQO0b98erq6u2LZtm+6YTZs2YfDgwUUqOCu6pIMHEdK3L9LOn5c6SrkwzM9G6gglwkOWJXUEg2Om0e/STaupGKWbwkgOo3sFj+gnKmmqhw8ROWkSHv7vf1AnJkodh4iIygmWbnpOCAEgd3fSovL394ebm1u+kXEdOnSAVqtFQEBAoec3a9ZM93He9MEXjaiqXbs2rKys8p2Td3xISAhUKhVef/113eM2NjZwdXUt8uuZPn06YmJi8Oeff6Jdu3bYs2cPGjdujJMnTxY5t7+/Pzp06JDv+A4dOiAwMBAajQY3btyAEAIuLi6wtLTU3c6fP4/g4GAAwKxZs/DVV1+hQ4cO+Pzzz3Wjv4ri999/R+vWrVGlShVYWlpi3bp1iIjIP2WmcePGUCgU+V7Dk/mVSiVat26te7xBgwYvvZOst7c30tLSYG9vn+/1hoaG6l5vly5dcPHiRWi1Wpw/fx5dunRBly5dcP78ecTExOD+/fu6kW7e3t4ICgqClZWV7lqVKlVCVlaW7noFefL15Jk4caKu6IyNjcWRI0cwfvz4l3qdFYUqNhaRU6Yi+pMF3CihBNldvAtHjeGXvbdTwpBmai11DINiokkt/CAJaTSKwg8qByrZySDPyZY6BlUwyX//g5B33JF8+IjUUYiIqBxg6abn6tevD5lMBn9//yKfI4R4bklXlPLOyOj/d+3LO16r1Rbp+Lxz8o5/XmmYd39RWVlZoV+/fvj6669x69YtdOzYEV999VWRcxf0njyZQavV6tYw8/Hx0d38/f11669NnDgRISEhGD16NHx9fdG6dWv8/PPPhWbfvXs3PvroI4wfPx4nTpyAj48P3n///WemXb7M+/iytFotqlWrlu+1+vj4ICAgAB9//DEAoFOnTkhNTcWNGzdw8eJFdOnSBZ07d8b58+dx9uxZVK1aFQ0bNtRdr1WrVs9c7/79+xgxYsRzcxQ0ZXrMmDEICQnB5cuX8eeff6J27dro2LFjibzu8ij5n38Q0rcf0l4wopBejsjKwgcPXKSO8crUQo2rzs0KP5B0jFR6XrqpK8ZINztFktQRqILSJCTg4bx5iPxgClRPLHlBRERUXCzd9FylSpXQs2dP/Prrr0hPf3YHr6SkpGfua9SoEXx8fPId7+HhAblcDheX3L9AGhsbF3mK56t47bXXYGRkhGvXrunuS0lJ0a2T9jJkMhkaNGhQ4PvxPI0aNdJNi8zj6ekJFxcXKBQKtGjRAhqNBrGxsahXr16+m6Ojo+4cZ2dnTJkyBfv378fcuXOxbt26Qp/74sWLaN++PaZNm4YWLVqgXr16Lxz9VZCGDRtCrVbj+vXruvsCAgIK/PoXRcuWLRETEwOlUvnM661cuTIA6NZ1++WXXyCTydCoUSN07NgRN2/exOHDh3Wj3PKuFxgYiKpVqz5zPRub4k3Rs7e3x4ABA7Bp0yZs2rQJ77///ku9xvJO/fgxIqdNx8P5/4OWO/mWmiYXH0BWvH8j0EuXrcrHVNmyosjR7xGjalXFGOlmlfDsUhJEZSnt/HmEuPdF4q7dhR9MRERUAJZuBmDNmjXQaDR4/fXXsW/fPgQGBsLf3x8//fQT2rVr98zxI0eOhKmpKcaOHYs7d+7g7NmzmDlzJkaPHg0HBwcAuVNCb9++jYCAAMTFxeXbJbMkWVlZYezYsfj4449x9uxZ3L17F+PHj4dcLi/SqC0fHx/0798fe/fuhZ+fH4KCgrBhwwZs3LgR/fv3L3KOuXPn4vTp0/jyyy9x//59bNmyBb/88gvmzZsHAHBxccHIkSMxZswY7N+/H6GhofDy8sKyZct0O5R++OGHOH78OEJDQ3Hjxg2cOXNGN9LrRerVq4fr16/j+PHjuH//PhYtWgQvL68iZwcAV1dX9OrVC5MmTcLVq1fh7e2NiRMnwszMrFjXydO9e3e0a9cOAwYMwPHjxxEWFgZPT08sXLgwX7HXpUsX/Pnnn+jcuTNkMhns7OzQqFEj7Nq1S7eeG5D7PVe5cmX0798fFy9eRGhoKM6fP4/Zs2fjwYMHxc43ceJEbNmyBf7+/hg7duxLvcbyLPnQodwFn8+ckTpKuSciH2JYSuE/5/rOI5ubahSHPFvfS7eK8eubWdBVqSMQQZuejpjPP0fkB1O4QRERERVbxfitzcDVqVMHN27cQNeuXTF37lw0adIEPXr0wOnTp/Hbb789c7y5uTmOHz+OhIQEtGnTBoMGDUK3bt3wyy+/6I6ZNGkSXF1ddeuMeXh4lFr+77//Hu3atYO7uzu6d++ODh06oGHDhjA1NS303Bo1aqB27dpYunQp2rZti5YtW2L16tVYunQpPvvssyJnaNmyJXbv3o2dO3eiSZMmWLx4Mb744guMGzdOd8ymTZswZswYzJ07F66urujXrx+uXr0KZ+fcnf80Gg2mT5+Ohg0bolevXnB1dcWaNWsKfe4pU6Zg4MCBGDp0KNq2bYv4+HhMmzatyNmfzOfs7IzOnTtj4MCBmDx5MqpWrVrk87VaLZTK3ClJMpkMR48eRadOnTB+/Hi4uLhg2LBhCAsL0xWzANC1a1doNJp8BVvnzp2h0WjyjXQzNzfHhQsXULNmTQwcOBANGzbE+PHjkZmZCWvr4q8l1b17d1SrVg09e/ZE9erVi31+eaWOi0PkjBl4+PF8aDi6rcz0Ltpmy3rtQUYMIirXkTqGwZBpsmGpfP6u3VKSyeXQqsv/SDcTMwWMg29JHYNIJ+38eYT064+U4yekjkJ6TCaT4eDBg1LHICI9IhPFXVyL6BWlp6fDyckJq1atwoQJE6SOUyFoNBpYW1tjy5YtGDRokNRxCpWRkYHq1atj48aNGDhwoNRx9ELy4SN49NVX0LzklGJ6BXI5ln7kiLvGz99QxhB8atEQw+8clzqGweipWI+AdPMSv+5nmpNIiXj+juCFMTYzh9x0Sgkm0k/Vq8nQYEfx/4GKqCzY9O8Hh4ULoXhiIzEqnKenJzp27IgePXrg2LFjxTp3yZIlOHjwIHx8fEonXDE9L09MTAzs7OxgYmIiTTAi0jsc6Ual7ubNm9ixYweCg4Nx48YNjBw5EgCKNT2UXt6DBw+wbNkyaDQavPnmm1LHeSGtVouHDx9i0aJFsLGxQb9+/aSOJDl1fDwezJyFh/PmsXCTilaLCcE1pE7xyjyNpU5gWBxN9HPXTCOTwkeJlwe2mjipIxA9V/Lf/yCkf3+kX7kidRSDsnHjRsycOROXLl1CRESE1HFKhaOjIws3IsqHpRuViZUrV8LNzQ3du3dHeno6Ll68iMqVK+PixYuwtLR87s0QTJky5bn5p0wpm9EIf/3113Mz1KpVC1u2bMG2bdvybQqhjyIiIuDk5ITdu3dj48aNuumwFVXqqVMIce+L1JMnpY5S4Tmfvw9zrVHhB+qxa6nhUMkN+zWUJQdj/SzdlMYVo3SzjL0ndQSiF1I/jEbE++Px6Ntvoc3Wzz8v9El6ejp2796NqVOnwt3dHZs3b9Y9tnnzZtja2uY7/uDBg7r1nzdv3oylS5fi1q1bkMlkkMlkuvMjIiLQv39/WFpawtraGkOGDMGjR49011myZAmaN2+OjRs3ombNmrC0tMTUqVOh0WiwfPlyODo6omrVqvj666/zPf+LrvuiPE9OL23Xrh0++eSTfNd9/PgxjIyMcPbsWQBATk4O5s+fDycnJ1hYWKBt27Y4xx3picqViv03WioTLVq0gLe3d4GPtW7dWm+Gib+sL774Qrchw9NeZj2zl9GvXz+0bdu2wMeMjIxQq1atMsnxqmrXrg3OeAe02dl49N13SNqxU+oo9B+RmIQJca3wc1XDXWMqQ50BH2c3tAm/XvjBhCpGWVJHKJDCyAQonb2P9IppgKfUEYgKJwQStmxFmocHqi9bBrPGjaVOpLd27doFV1dXuLq6YtSoUZg5cyYWLVpUpI3Vhg4dijt37uDYsWM4deoUAMDGxgZCCAwYMAAWFhY4f/481Go1pk2bhqFDh+YrroKDg/Hvv//i2LFjCA4OxqBBgxAaGgoXFxecP38enp6eGD9+PLp164Y33nij0Os+L8/TRo4ciRUrVuDbb7/Vvc5du3bBwcFBtzby+++/j7CwMOzcuRPVq1fHgQMH0KtXL/j6+qJ+/fqv+rYTkR5g6UaSMjMzQ7169aSO8UqqVq1arA0NSoOVlRWsuK5IuZAdGIioOXORHRgodRR6SocrKfjZwGc8e1ZyQJtwqVMYhsqKTKkjFEhhVP6nLVlYK6GMDpM6BlGR5QQFI2zYcFSeOgWVP/gAMkX53+ykuDZs2IBRo0YBAHr16oW0tDScPn0a3bt3L/RcMzMzWFpaQqlU5pu1cfLkSdy+fRuhoaG6jc+2bduGxo0bw8vLC23atAGQu3zJxo0bYWVlhUaNGqFr164ICAjA0aNHIZfL4erqimXLluHcuXN44403cOrUqUKvW1Cepw0dOhQfffQRLl26hI4dOwIAtm/fjhEjRkAulyM4OBg7duzAgwcPdBuHzZs3D8eOHcOmTZvwzTffvMQ7TUT6htNLiYj0ROLOnQgdPISFm56S3w1E18zaUsd4JR6aVKkjGAw7fS3dlOW/dLO3zJE6AlHxqVSI++lnhI8YiZwHD6ROo1cCAgJw7do1DBs2DACgVCoxdOhQbNy48ZWu6+/vD2dnZ10xBgCNGjWCra0t/P39dffVrl073z9OOzg4oFGjRpDL5fnui42NLdZ1C1OlShX06NEDf/31FwAgNDQUly9f1q1vfePGDQgh4OLikm9pmPPnzyM4OLiY7wYR6SuOdCMikpgmORnRixYj9cQJqaNQIYbdtcHZ1lKneHn3UsMRb1kF9mmPpY6i92zlGVJHKJBcUf53xLDJeih1BKKXlnnrFkLfHYhqX34J6149pY6jFzZs2AC1Wg0nJyfdfUIIGBkZITExEXK5/JnlRVSqwufRCyEKnJ769P1GRvnXM5XJZAXep9Vqi3Xdohg5ciRmz56Nn3/+Gdu3b0fjxo3h5uYGIHcEnkKhgLe3NxRPjY40lLWtiahwHOlGRCShjOvXETLgXRZuBqLSpbuoqrWQOsZLExC4XKOp1DEMgjXSpY5QILmi/I90s4i6I3UEoleiTU1F1IcfInrpUmhzKvbITbVaja1bt2LVqlXw8fHR3W7duoVatWrhr7/+QpUqVZCamor09P//c/fpNZ+NjY2h0Wjy3deoUSNEREQgMjJSd5+fnx+Sk5PRsGHDl85clOsWlKcgAwYMQFZWFo4dO4bt27frptgCueteazQaxMbGol69evlu+r75GREVHUs3IiIJCI0Gj3/+BeFjx0EdHS11HCoikZmFKZEuUsd4JZ7mZlJHMAiW0M+RbjJ5+R7pJpMBpncvSh2DqEQk7diJsCFDkR0aKnUUyRw+fBiJiYmYMGECmjRpku82aNAgbNiwAW3btoW5uTk+/fRTBAUFYfv27fl2NwVyp4iGhobCx8cHcXFxyM7ORvfu3dGsWTOMHDkSN27cwLVr1zBmzBh07twZrVu//LD0oly3oDwFsbCwQP/+/bFo0SL4+/tjxIgRusdcXFwwcuRIjBkzBvv370doaCi8vLywbNkyHD169KXzE5F+YelGRFTGVNHRiBg7DnG//goU4V9JSb80vfgQMgPeZPdyRhQEijc9piKy0KZJHaFAMplR4QcZMJtKSsjTkqSOQVRisu/dQ9h7g5D8zz9SR5HEhg0b0L179wJ393zvvffg4+ODsLAw/Pnnnzh69CiaNm2KHTt2YMmSJc8c26tXL3Tt2hVVqlTBjh07IJPJcPDgQdjZ2aFTp07o3r076tati127dr1S5qJct6A8zzNy5EjcunULHTt2RM2aNfM9tmnTJowZMwZz586Fq6sr+vXrh6tXr+ZbT46IDJtMPD2BnoiISk3KyZOIWbgImuRkqaPQK9g/rQl22tyTOsZL25tpCdcYP6lj6LUEx45oGTa1xK/7meYkUiKCXvr8ms3cEWvgoy1fpG71bNTePkfqGESlwubdd+G4eBHkZhxxTERUUXCkGxFRGdBmZyN6yRJEzZzFwq0c6HPTsEeKeVStJXUEvWeitzu9lu+RbtapEVJHICo1yQcOIHTQYGTdvy91FCIiKiMs3YiISllOeDjCBg9B0s5Xm+5A+sP0mh8aqapIHeOlecoL3xWuojNS6WfpJkT5Lt3Mw29IHYGoVOUEByNsyFAk7t4tdRQiIioDLN2IiEpR6rlzCB08BNn8V+3yRaPBhCDDXW/lRmooMowNdxfWsqDISZE6QoHKc+mmMJLD2O+K1DGISp3IykLM4s8RNWcuNGn6uVMyERGVDJZuRESlQAiBxz//ggdTp0Gbop9/eadXU/NCIEyFUuoYL0WlVeG6s5vUMfSaPFs/f261WsP8niuKSpVkkKtzpI5BVGZSjh5F2JAhyA4JkToKERGVEpZuREQlTJOSggdTpubuTsq9asotkZCIiY8bSR3jpXnYVJI6gl6TabJhqVRLHeMZWk35Ld3sZElSRyAqczkhIQgbMhSpp09LHYWIiEoBSzciohKUFXAfoYMGI+38eamjUBl482qa1BFemmdOnNQR9J6Tif6NutKqFVJHKDVWicFSRyCShDYtDQ9mzETs6tUQWq3UcYiIqASxdCMiKiHJh48gbNgwqCK4+15FIb9zH10yDXMn0LD0h3hoV1PqGHrN0SRb6gjP0GjKb+lmFnhV6ghE0hEC8b/9jsipU6HhshREROUGSzciolck1Go8+vZbPJw3DyIzU+o4VMaG+9lKHeGleVR3lTqCXnMw1r/STa0qn6WbibkCxiG3pY5BJLn08xcQOngwsrgBExFRucDSjYjoFajj4xHx/ngkbNkqdRSSSKWLd1FVa5g7gXqalN/1wUpCFaMsqSM8Q51TPks3extOqSPKowqPQNiw4Uj591+poxAR0Sti6UZE9JIyb91C6MD3kOHlJXUUkpDIzMKUSBepY7yUq2nhUMtZvD1PZYV+jVyVyeTQlNM13Ww1sVJHINIrIiMDUR/NwaPlKyA0GqnjEBHRS2LpRkT0EhJ37kT4qNFQP3okdRTSA00vPYTMADeqTVWlwdepqdQx9JadnpVuShMTqSOUGstH96SOQKSXEjZuROSkSVAnJkodhYiIXgJLNyKiYhA5OXi4cCFiliyFUKmkjkN6QkREYXCKYa6P5mFfXeoIestWniF1hHyMTEyljlBqzPw9pY5ApLfSPS8j7L1ByPLzkzoKEREVE0s3IqIiUicmInz8eCTv3Sd1FNJD7/gY5rS/yyJd6gh6yxr69d4ojctn6WZpo4Qilrs+E72I6uFDhI0ajdTTp6WOQkRExcDSjYioCLKDgxE2ZCgyr3tLHYX0lNnVu2igqix1jGK7kxqGZHM7qWPoJUvo10g3pXH5nF5qb6F/u8QS6SORkYEHM2chfuMmqaMQEVERsXQjIipE2iUPhA0bDlVkpNRRSJ9pNJgYUlPqFMWmFVpcdm4mdQy9ZKFNkzpCPgpl+SzdrLMeSh2ByHBotYhdvhzRiz+HUKulTkNERIVg6UZE9AIJ27cjcsoUaFNTpY5CBqDWuUCYCsPbDdTTwlLqCHrJTKNfP/cKo/JZulk8uC11BCKDk7R7NyInT4YmJUXqKERE9AIs3YiICiA0GsR8+RUeffElwH9JpiISCYmY8Lih1DGKzSMzWuoIeslErV+lm1xR/ko3mRww9fOQOgaRQUr3vIyw4SOQw5H4RER6i6UbEdFTtOnpiJw2DYl//SV1FDJAHa/p1+L7RRGbFYcgBxepY+gdI70r3YyljlDibCspIU9LljoGkcHK+W/N2YwbN6SOQkREBWDpRkT0BNWjWISNHo308xekjkIGSu57H50za0kdo9g8q9aVOoLeUebo17Qtmbz8lW6VjPVr3TwiQ6RJTETEuPeRfOiQ1FGIiOgpLN2IiP6TFRCAsKFDke3nL3UUMnDD/Q1vN1BPpVbqCHpHlq1fI91kMiOpI5Q465RwqSMQlQsiJwcPP56Pxz/9LHUUIiJ6Aks3IiIAaRcvIXzESKhjYqSOQuWA/YW7qKoxrM0JvFNDka00lTqGXpFpsmGt1KM1HWXlb6SbeRinxBGVpLg1axA1dx60OTlSRyEiIrB0IyJC4u7diJw6Fdp0w1uLi/STyMzEBw8Na420LE02vGs2lzqG3qluqk9/cS1fI92UxnIY3bsmdQyiciflyBFEjp/AnU2JiPQASzciqtBif/wRMYs/5w6lVOKaXXwImZA6RfF42FSWOoLeqWacJXUEHSGUUkcoUZXsZJCr9anUJCo/Mq5fR/jIUVA9eiR1FCKiCo2lGxFVSEKrRfTizxH/+1qpo1A5JcIfYFCqq9QxisVTnSh1BL3jYJItdQQdIcrXSDdbGb/fiEpTdmAgwoYNR3ZwsNRRiIgqLJZuRFThiJwcRH00B0m7d0sdhco5dx/DGpkUlBaJRzbVpY6hV6ooOdKttFgnsAggKm3q6GiEjxiJjBs3pY5CRFQhsXQjogpFm5GByClTkXr8uNRRqAIwu3IHrirDmrLp6dRI6gh6xV6PSjetunyVbmaBV6WOQFQhaJKTETF+PFLPnJE6ChFRhcPSjYgqDE1SEsLffx/pnp5SR6GKQqPBxJCaUqcoFk/T8jWF8VXZyTOkjqCj1pSf0s3UXAGjUF+pYxBVGCIrCw9mzkLS/gNSRyEiqlBYuhFRhaB69Ahho0Yh69ZtqaNQBVP7fBBMhELqGEV2OT0SWhl/Pchjq0elm0ZtON9HhbG30Uodgaji0WgQ/dlniN+wUeokREQVBn+rJqJyLycsDOHDRyAniOsHUdkT8QmYENdY6hhFlpyTgrtOTaSOoTeswdKtNNioY6WOQFQxCYHYFSvwaMUKqZMQEVUILN2IqFzL8vND2MhRUD18KHUUqsA6Xk2TOkKxeNjXkDqC3rBEutQRdNQ55ad0s4z1lzoCUYWWsGEjHn72GYRGI3UUIqJyjaUbEZVbGV5eCB8zFpr4eKmjUAWn8L2PN7OcpY5RZJ7IlDqC3jDX6klhKpNBrSo/v7aZ+XlIHYGowkvetx8PZs+GyMmROgoRUblVfn57IyJ6QuqZM4iYOAnaND35CzNVeCP97KWOUGS+qeFIM7WWOoZeMNPox58hRsYmkEEmdYwSYWmjhOLxA6ljEBGAtFOnETljBrTZ2VJHISIql1i6EVG5k3TwIB7Mmg3BXyBJj1S+cBeVtRZSxygStVDjqrOb1DH0gok6VeoIAAClianUEUqMvQX/bCbSJ+kXLiJyyhRoMznKmYiopLF0I6JyJWHLFkQv+BRQq6WOQpSPyMzElCgXqWMUmYcVR7oBgJGelG5G5ah0s8mMkjoCET0l4/IVRE6aDG26/qxjSURUHrB0I6JyI379ejz69jtACKmjEBXI7VK01BGKzDObu0sCgDInReoIAACFkYnUEUqMRZSv1BGIqAAZ168jYsJEaFL14x8biIjKA5ZuRFQuxK9fj9iVq6SOQfRCIuwBBqW4Sh2jSKIyHiGsymtSx5CcLFs//vKpLCelm0wOmNy9JHUMInqOTB8fRLw/HprkZKmjEBGVCyzdiMjgsXAjQ+Luo5Q6QpF5ONaTOoLkZJpsWCuln64uV5aP0s2ukhLydP0YPUhEBcu6cwfhY8dBnZgodRQiIoPH0o2IDFrcunUs3MigmF+9i/pqw9jJ1NNw+sFSVd00R+oIUJSX0s1IP3aDJaIXy753DxFjxkD9+LHUUYiIDBpLNyIyWHHr1uHxqu+ljkFUPGo1JofUkjpFkXilhUGlMJY6huSqGWdJHQEyefn4OlinhkkdgYiKKDswCOFjxkL16JHUUYiIDBZLNyIySCzcyJDVOR8EE6GQOkahMtWZuOnsJnUMyTmYZEsdAfJyUn6ah96QOgIRFUNOaCjCR4+B6uFDqaMQERkklm5EZHBYuJGh08YlYHxcY6ljFImHXVWpI0iuilIPRrrJjKSO8MqUxnIY37sqdQwiKiZVRATCR42GKipK6ihERAaHpRsRGZS4P1i4UfnQ6Vq61BGKxFPDRe/t9aB0g8zwR7rZ28kg00i/KQURFZ/q4UOEj3ufU02JiIqJSyQTkcGI+2MdHn/Pwo3KB8XtAHToVgceppFSR3mhgNQIxFlWReW0WKmjSMZOnlGk42QywMJYCSOFDHJZ7k0mAxTy///YSlMJyKwKoRUQWi2E0EKI/z7WaqHKyYZGpSrg6oY/0s1Wxp0QiQyZKjISEePeR60/t0FpbxgbAhERSU0mhBBShyAiKgwLNyqP4nu1xtQWPlLHKNQ3pvXQ1/+M1DFKl0wGWFQBrKoBlg6AmR1gYgUYWyK8ciecTq8LCxMlLIwVuf81UcLCRAEL4///2Ny4ZP4tU6NWIycrE6qsTORkZiInKxMKpTXSk42Qk6WGKlsDVZYGOVkaqLLV/32sRkZKDjKSc5CelA21SlsiWUpSayNvWJ/cKHUMInpFJi4uqLllM5R2dlJHISLSexzpRkR6j4UblVeVL/ihspsF4uT6PdXU08wUfaUO8bJkcsCy6v+XaVaOuTdLxyc+dsg9Rl7wr0W1AIwvw8gKpRJmllYws7R66WtkZ6qRnpSdW8IlZyMjORvpuo///7+qbE0JJn8xs/tXyuy5iKj0ZN+/j8gJE1Fzy2YorF7+zykiooqAI92ISK/Fr1+P2JWrpI5BVGp8RrXBN843pY7xQpVM7HDu3m3IoKe/MiiMAfvXAPt6/91eA+zrA3a1AIuqgFz/d4qVSk6WGmkJWUiKzUTSo4zcW2zufzNTC5rm+nJMLZRof+SDErseEUnPrHlz1NywHnILC6mjEBHpLZZuRKS3EnfuRMySpVLHICpVsjo1MXjYQ6ljFGp3liUaRvtJF0AmA2yc85dqeSWbTQ0Wa6UgK12F5MdPlHFPFHLqnOJNX3WqBrjumF5KSYlIKuZt2sB53R+Qm5pKHYWISC9xeikR6aWUo0cR88WXUscgKnUiNALvpTbGPqsAqaO8kEfV2mVXupnZAdWaA9WbA9XcgMouQKW6gJFZ2Tw/AQBMLYxgamEEh9rWzzyWlpiFpEcZiItKw+PwVMSGpyIpNgPPGwxpq664G3EQlWcZXl54MH0Gavy2BnJjw99lmYiopHGkGxHpnbSLlxA5bRpQ4A5+ROVPxptuGNfxrtQxXqiNTX1s9Dld8hfOV7A1B6q3yJ0WSgYnJ0uNuMg0xEak4HF4Kh5HpCLxUW4R97rmPCwv7pY6IhGVEsuuXVHjp9WQGRn+TstERCWJpRsR6ZWMmzcRMX4CRGam1FGIyo5Sic8+skegMl7qJM+llCvh8SAW5tlpL38RM7vcUu3Jko0FW7mWV8QZ3ziF7OvXkHX3LnJCQwH++klU7lj16gWnVSshU3C6PxFRHpZuRKQ3sgLuI3zMGGiTk6WOQlTmwt57HfNdbkgd44V+VjijS5BH0U+wqw3U7gjUfhOo+Ubu51ThadLTkXXnDjKuXUPGNS9k+vhAcGQzUblg078fqn33HWQymdRRiIj0Atd0IyK9kBMZiciJE1m4UYVV93wwTOorkC3TSB3luTyt7NDlRQfY1sot2Op0BGp1AGxrllEyMiQKCwtYtG0Li7ZtAQDarCxk+vgg45oX0q9eRebt21xegMhAJf/9DxR2leDwyf+kjkJEpBc40o2IJKd+/BhhI0dBFREhdRQiSZ2e2AJrq/hKHeO5allUx+E7V/7/Dhvn3IKt9pu5N1tOFaVXp83MRKaPD9KvXkPGtWu5JZxaLXUsIiqGqh9/DPsJ46WOQUQkOZZuRCQpTUoKwkeNRvb9+1JHIZKcxq0BhvcJkjrGc9mb2mO/XXtUqtIQqN2J67FRmdBmZCDjpg8yrl1D+pUryLp9m2vCEek7mQzVl30Hm379pE5CRCQplm5EJBltZiYixk9A5s2bUkch0hurP6oDD9NIqWPouNi5oItzF3Su0RlNKjeBXCaXOhJVcOq4OKSdP4/UM2eR7unJjXeI9JWREZzXrIFlxzelTkJEJBmWbkQkCaFSIXLadKRfvCh1FCK9EterNaa18JHs+ZUyJVo7ttYVbTWsakiWhagw2qwsZFy5itSzZ5B29izUsY+ljkRET5Cbm6Pmli0wa9pE6ihERJJg6UZEZU5otXg472OkHD0qdRQivSOzsMCUGQrEyzPK7Dmtja3R0akjujh3QXun9rA2ti6z5yYqKUKrRdbdu0g7cxapZ88i+949qSMREQBFpUqovWM7jGtxSQIiqnhYuhFRmYv54gskbt8hdQwivXVzVGt86+xTqs9Rw6oG3nJ+C51rdEYLhxYwkhuV6vMRlTVV1EOknjuLtDNnkH7NizuiEknIyNkZtXdsh7JyZamjEBGVKZZuRFSm4v5Yh8fffy91DCK9JqtTE4OHPSzx61Yxq4LedXrjnbrvoJF9oxK/PpG+0qSkIPX4CSQfPoSMq9ekjkNUIZk0aohaW7dBYWkhdRQiojLD0o2IykzKsWOI+mgOd50jKoId0xvigHXgK1/HXGmOHrV6wL2uO9o4toFCriiBdESGS/XwIZKPHEXKoX+Qff/Vf8aIqOjM272BmmvXQmZsLHUUIqIywdKNiMpE5q1bCB8zFiI7W+ooRAYhvWNzvP/mnZc6VylTooNTB7jXdUdn584wU5qVcDqi8iErIADJ/xxCyuHDUD96JHUcogrBuk9vVF+1CjKZTOooRESljqUbEZW6nAdRCBs6FJr4eKmjEBkOpRKffWiPQKOi/9y4VXGDe1139KzdE3amdqUYjqh8ERoNMry8kHzoMFKPH4c2LU3qSETlWqX334fD/+ZLHYOIqNSxdCOiUqVJTUXY8OHICQqWOgqRwQl973X8z+XGC4+pZV0Lfev2RZ+6feBs5VxGyYjKL21WFtLOnUPyocNIu3CBGzAQlRLHL7+A3eDBUscgIipVLN2IqNQItRqRkycj3fOy1FGIDJKsSmWMnJCKHJkm3/1KmRLdanXD8AbD0cqhlUTpiMo/dVwckvbvR+LOXVA/LPnNTYgqNCMj1Fy3DhZvtJU6CRFRqWHpRkSlJnrRYiTt2SN1DCKDdmpSc/xROXdtNwdzBwx2GYyB9QeiinkViZMRVRxCo0HahQtI3L4D6RcvSh2HqNyQ29ig9s4dMKlTR+ooRESlgqUbEZWK+A0bELtipdQxiAyeunlD/Dy+MoY2GIrONTpDKVdKHYmoQssJD0firl1I2rcf2uRkqeMQGTzjWrVQe9dOKGxtpY5CRFTiWLoRUYlLOXECUbM/BPjHC9FLk1tZwXbgQNgOG8oRAER6SJuVhZR//0Xi9h3I8vWVOg6RQTNv2xY116+DzMhI6ihERCWKpRsRlahMX1+Ejx4DkZUldRQig2TaqBHsRoyAdZ/ekJubSx2HiIog09cXiTt2IuXIEYjsbKnjEBkkm0HvofpXX0kdg4ioRLF0I6ISo3r4EKFDh0LzOE7qKESGRaGAde/eqDR6FMzc3KROQ0QvSZOUhKQDB5CwdRvU0dFSxyEyOFU//hj2E8ZLHYOIqMSwdCOiEqFJS0P48BHIDgyUOgqRwZAZG8P2vfdQacJ4GNeoIXUcIiohIicHyUeOIH7deuSEhEgdh8hwyOWo8cvPsHrrLamTEBGVCJZuRPTKhEaDyA+mIP3SJamjEBkEuYUF7EYMR6UxY6Cswl1IicorodUi9dRpxP/xB7Lu3JE6DpFBkJmbo/Zff8K0YUOpoxARvTKWbkT0ymJXrkT8+g1SxyDSe4pKlVBp7BjYDR8OhbW11HGIqAyle15G3B9/IOPKFamjEOk9paMjau/eBaOqVaWOQkT0Sli6EdErSTl2HFEffih1DCK9pqxeHfYTxsN24EDIzcykjkNEEsq8fRvxf6xD6qlTUkch0mtmbm6otW0rZMbGUkchInppLN2I6KVlBwUhbMhQaDMypI5CpJeM69VD5UmTYN2nN2RGRlLHISI9kh0UhPj165F8+AigVksdh0gv2Q4bimpLlkgdg4jopbF0I6KXoklLQ9igwcgJC5M6CpHeMW3aFJWnfADLrl0hk8uljkNEekwV9RDxmzchafceiOxsqeMQ6Z1qX38N2/cGSh2DiOilsHQjomITQuDBjJlIO31a6ihEesX4tddQ9aMPYdW9u9RRiMjAqGJiEPfrGiTt2wdotVLHIdIbMhMT1PrrL5g1aSx1FCKiYmPpRkTFFvfbb3i8+iepYxDpDWW1aqgycwZs+veHTKGQOg4RGbDskBA8/vFHpJ44KXUUIr2hrF4Ndfbtg9LOTuooRETFwtKNiIol7cIFRE6Zyn+FJwKgsLWF/ZQPYDd8OOQmJlLHIaJyJPPWLcR+/z0yrl6TOgqRXrBo3w7O69bxH7eIyKCwdCOiIsuJjETooMHQJidLHYVIUjIzM1QaOxb2E8ZDYWUldRwiKsfSLl1C7Krvke3vL3UUIsnZT5qIqnPnSh2DiKjIWLoRUZFoMzMRNmw4sgMCpI5CJB2lEnZDhqDylClQVq0idRoiqiCEVouUf4/h8erVUEVESB2HSFJOP62G9dtvSx2DiKhIWLoRUZFEzfsYKYcPSx2DSDLW7/RBlVmzYFyrltRRiKiCEjk5SNq7D4/XrIEmLk7qOESSkFtYoPbuXTB57TWpoxARFUoudQAi0n8JW7awcKMKy6J9e9TZtw9Oq1axcKvgLly4gL59+6J69eqQyWQ4ePBgvsdXrlwJBwcHODg44Icffsh33ptvvgljY+NinQcAV69eRatWraDRaErrZZEBkRkbw27EcNQ7cRxVPpwNuYW51JGIypw2PR0PZs6CJi1d6ihERIVi6UZEL5R+7RoerVgpdQyiMqesXh01fv4ZNTdugGnjRlLHIT2Qnp4ONzc3/PLLL8885uvri8WLF2PHjh3Yvn07Pv30U9y5cwcAkJycjKCgIHz11VfFOk+lUmHKlCn4/fffoeDC4fQEubk5Kk+ZgrpHj8La/R2p4xCVuZyQEEQv+ASctEVE+o6lGxE9l+pRLKI+mgOo1VJHISozMiMj2E+ZgteOHIZVj+5SxyE90rt3b3z11VcYOHDgM4/5+/ujWbNmeOutt9CtWzc0a9YM/v8tfO/r64uhQ4di/vz5xTpvxYoV6NSpE9q0aVOkfL/99huaNWsGa2trWFtbo127dvj33391j3NEXflj5OAAp5UrUXPrFpjUry91HKIylXryFBI2bpI6BhHRC7F0I6ICCa0WDz/+GJr4eKmjEJUZi06dUPfQIVT9cDbkZmZSxyEYTpHUtGlT3L9/HxEREQgPD8f9+/fRpEkTBAUFYfPmzQWOcnuV8wpSo0YNfPfdd7h+/TquX7+Ot956C/3798fdu3c5oq6cs3j9ddTZvw9VP/kf5BYWUschKjOxP/6IzNu3pY5BRPRc3EiBiAr0eM0axP30s9QxiMqEkZMTHD5dAKtu3aSOQk85dOgQFAoF6tWrBwDYsmULVqxYgZs3b0Kr1aJt27Y4fPgwhBBwd3eHl5cXmjRpApVKhddffx1//PFHkUeKFYdMJsOBAwcwYMAA3X2///67rvj76KOPMGXKFHTv3h0zZsyAWq3GkiVLcPfuXXz11Vf47LPPinWekZERVq9ejU6dOhUrZ6VKlbBixQpYWVnh+++/x5UrVwAAbdu2xbx58zB48GB88803ePToEVavXv2K7wrpA3XsYzxasQIphw5JHYWoTBjVqIE6B/ZDYWUldRQiomewdCOiZ2TcuIHw0WMATjOick5mbAz7SRNhP2kS5KamUsehItKHIqmg0u1pmzdvxt9//43ff/8drq6u8PLygouLC+zs7BAdHQ0TE5Min/fgwQOMHDkSoaGhzz3vSRqNBnv27MHYsWNx8+ZNyGQydOjQAT4+PhBCoHnz5vD09ISRkRH69OkDb29vWPEvrOVKhtd1xHz5JbLv35c6ClGps+rdCzWeGu1MRKQPlFIHICL9oklORtS8eSzcqNyz7NoFDgsWwLhmTamjUBHlFUnp6elo164dZDKZbmqmEOKZqZne3t6SZY2Li8MXX3yBCxcu4OrVq3BxcUH9/9bcUqvVuH//Ppo2bVrk8+rXrw+VSvXc8/L4+vqiXbt2yMrKgqWlJQ4cOIBGjXI3Avnmm2/Qo0cPAMC3336Lhg0bonv37li+fDmOHz/+SiPqSP+Yt2mNOvv3IXH7djz+6Wdo09KkjkRUalL/PYbEN9rBbugQqaMQEeXD0o2I8oleuAjqh9FSxyAqNUY1asDhs09h1bWr1FGoiAyxSPrwww/x0UcfoUaNGvDy8oJKpdI9ptFonrvO3IvOU6vVha5P5+rqCh8fHyQlJWHfvn0YO3Yszp8/j0aNGmHKlCmYMmWK7tjNmzfDysoK7dq1yzeibtiwYUUeUUf6TaZUotKYMbDu3Ruxq1Yh+eDfUkciKjWPvv0W5i1bcFMRItIrLN2ISCdx506knjwpdQyi0iGXw37SRFSeOpVTSQ2MvhRJaWlpCAoK0n0eGhoKHx8fVKpUCTWfGDF58uRJBAYGYuvWrQCAxo0bw8/PD7/88ovumKysLERERLzwvNdffx337t3Dv//+i8jISCgUCri6ur4wo7GxsW79u9atW8PLywurV6/G2rVr8x33qiPqyLAoq1RB9e++g+2gQXj42UKowsOljkRU4kRWFqLmzEHtPXv4/3ki0hvcvZSIAABZ9+/j0XfLpI5BVCqM69VD7V07UfWjj/iLuAHKK5Jat26Nb7/9Fm5ubgWu1ZZXJP3888/5iqSuXbvqiqRXcf36dbRo0QItWrQAAMyZMwctWrTA4sWLdcdkZmZixowZWLt2LeTy3F+zHj58iJycHMycORMAkJGRgXbt2hV6npOTE37++We8//77+Prrr7FlyxaYFXNXXSEEsrOzn7n/yRF1Go2m2CPqyDCZt26NugcPoNLYsYBMJnUcohKXHRiER19/LXUMIiIdjnQjImizsvBw7lyIrCypoxCVrLzRbdOnQ25sLHUaKiFFKZJeZmpmYbp06YLC9p8yMzNDQEBAiZwHABMnTsTEiROLlO/TTz9F79694ezsjNTUVOzcuRPnzp3DsWPH8h1XEiPqyHDJzczgsOATWPXozlFvVC4l7dkLi3btYN2nj9RRiIhYuhER8Oi775AdGFT4gUQGxLhePVT/9huYcYqcQWORVHSPHj3C6NGjER0dDRsbGzRr1gzHjh3TrXkH/P+Iul27dhU4os7ExOSlRtSR4ckb9fb4x9VI2LoVKKQYJjIk0Ys/h2nTpjB2dpY6ChFVcDJR2D+9ElG5lnLiBKJmzZY6BlHJ4ei2cmXChAk4ffp0viLpf//73zNFUvPmzbFr1y40b95cd//69euxcOFCmJiYYM2aNXjnnXckeAVE+i/j+nWOeqNyx7RpU9Te/hdkRkZSRyGiCoylG1EFpnr4ECHvDoQ2OVnqKEQlgqPbiIhejjYzk6PeqNypNH48HOZ/LHUMIqrAuJECUQUlNBpEfTyfhRuVD3I57D+YjDr797FwK6Jvv/0Wbdq0gZWVFapWrYoBAwY8s6bYypUr4eDgAAcHB/zwww/5Hrt69SpatWrFBfeJyom8td5qbdsKo1q1pI5DVCISNm9G+rVrUscgogqMI92IKqjHP/2EuDW/SR2D6JVxdNvL6dWrF4YNG4Y2bdpArVbjs88+g6+vL/z8/GBhYQFfX1+0bdsWhw8fhhAC7u7u8PLyQpMmTaBSqfD666/jjz/+QJs2baR+KURUwjjqjcoTIycn1Pn7bygsLaSOQkQVEEs3ogoo48YNhI/6P/buOzzqKv/b+Htm0nuAJCQQCBhAOkhR9JGiVBVR7B1ddFFY+093dVVEREFRFATsYEVsqFgAkSoGKUZaIPRQAqElIT2ZmecPJEukJTDJmXK/rotrJfPNzD2xLPnknO+5TXI4TKcAZ6XWP/6hmAfu595tLrBv3z7FxsZqwYIF6tq1q6ZPn65XXnlFKSkpkqTzzz9fjz76qK677jqNGjVKe/fu1WuvvWa4GkB1Kli+XLsee1xlu3ebTgHOSuS11yhh5EjTGQB8ENtLAR/jKCpS5n+eYOAGj2aLjlbi228p7v8eZeDmIjl/bTWvVauWJKl169ZKT09XRkaGtm/frvT0dLVq1UqbNm3SlClTNJJvXgCvF9Kxoxp/9aXCLr3UdApwVnK++FKH580znQHAB7HSDfAxe0aN0qEPPjSdAZyxkPM7K+Gll+QfG2s6xWs4nU4NGDBAhw4d0qJFi8o/Pnny5PJ7uT300EMaMmSIevbsqWHDhqmsrEzDhw+Xv7+/XnvtNXXt2tVUPoAacPCjj5Q1eoycpaWmU4AzYoupo8bffiu/6GjTKQB8CEM3wIcULFum7bffwf1Z4JmsVtUZep/qDBkii81musarDB06VN9//70WL16s+vXrn/S6KVOm6JtvvtHkyZPVrFkzLVu2TDt37tQtt9yirVu3KjAwsAarAdS0wrVrteuhh1WakWE6BTgj4X36qP5r40xnAPAhbC8FfISjoEC7n/wvAzd4JL/YGDWY8r5ihg5l4OZi//rXv/Ttt99q3rx5pxy47d+/XyNGjND48eO1dOlSNW3aVE2aNFGPHj1UWlqq9PT0GqwGYEJwy5Zq9NWXirj8MtMpwBk5PGuWcr77znQGAB/C0A3wEVljX+En0/BIoRdfrEYzZii0c2fTKV7F6XRq2LBh+uqrr/TLL7+oUaNGp7z+wQcf1EMPPaT69evLbrer9JgtZmVlZbLb7dWdDMAN2MLCVG/sWMU/95wsQUGmc4Aq2/PcSJXu3Ws6A4CP8DMdAKD65S/9XYc++cR0BlA1fn6KfehB1brzTlms/IzI1YYOHapPPvlE33zzjcLDw7Vnzx5JUmRkpIKDgytcO2fOHG3cuFEffPCBJKlz585av369fvzxR+3YsUM2m03NmjWr8fcAwJyo665VUNu22vXwwyrZtMl0DlBpjtxcZT7xpBq8+47pFAA+gHu6AV7OkZ+vLQOuUunOnaZTgErzr5egemNfUXC7tqZTvJbFYjnhx99//30NGjSo/PeFhYVq166dPvvsM7Vr16784++8847++9//KjAwUBMnTtTll19ezcUA3JGjsFB7nx+l7C++MJ0CVEnc00+p1s03m84A4OUYugFeLvPZZ5X96TTTGUClhffqpfiRz8kWGWk6BQBQSTkzZ2rPM8/IkV9gOgWoFEtwsBrP+FoBDRuaTgHgxRi6AV4s/7fflHHXPzg8AZ7BalXs/z2q2nfeaboEAHAGirdu1c77hqpk61bTKUClBJ93nhp+/NFJV38DwNniJjmAl7Ln5SuT00rhIazh4Up8czIDNwDwYIGNGilp+mcK7drVdApQKYUrVyp7GjtCAFQfhm6Al8oaPVqlu3ebzgBOK+Cvb9LCLr7YdAoA4CzZwsOVOGmiav3jH6ZTgErJGvsKp5kCqDYM3QAvlLf4V2V//rnpDOC0Qi++WEmfTVNgo0amUwAALmKx2RT3f48qYcxoWQICTOcAp+TIy9OeEc+ZzgDgpRi6AV7GnpenzKeeMp0BnFatf/xDiZMnyRYRYToFAFANIq+8Ug0/+lB+sTGmU4BTyps7V7k/zTKdAcALMXQDvEzWyy+rLDPTdAZwUpaAACWMHq24/3tUFpvNdA4AoBoFt2mjpC++UFCbNqZTgFPa8/xI2XNzTWcA8DIM3QAvUvDHH8r+bLrpDOCk/GJj1PCjDxU54ErTKQCAGuIfG6uGH36gyAEDTKcAJ2Xft19ZL71kOgOAl7E4nRxtCHgDZ2mptg68RsUbN5pOAU4oqHVr1X9jgvxjY02nAAAMOfDee8p6eazkcJhOAY5nsajB1CkK7dzZdAkAL8FKN8BLHHh/CgM3uK2IK69Uww8/YOAGAD6u9l13KXHyJFnDwkynAMdzOrXn6WfkKC42XQLASzB0A7xAyc6d2j9xoukM4IRiHnlE9caMljUoyHQKAMANhHXtqqTPp8s/MdF0CnCckm3btH/iJNMZALwEQzfAC+x5doScRUWmM4CK/PyUMGa06tw92HQJAMDNBDZqpKRPP1FQixamU4DjHHjvPRVtSDedAcALMHQDPFzuDz8of9Ei0xlABZaQECVOmqjIKzkwAQBwYn516qjBB1MV0qWL6RSgotJSZT71lJzcexDAWWLoBniwksIyrVwtOcJrmU4Bytmio9VwyvsKu/hi0ykAADdnCwtT4puTFd6vn+kUoIKiVat06JNPTWcA8HCcXgp4sEXT07Xql50KCfdTi6IURcx533QSfJx/vQQlvvOOAhs1Mp0CAPAgTodDe0eN0qGPPjadApSzRkbqnB9/kF8tfsAN4Myw0g3wUPt35mn1/F2SpILDZVpe2lHrb5qo0sZtDJfBVwU2baqGn37KwA0AUGUWq1V1//tfxTz0oOkUoJwjJ0dZr7xiOgOAB2OlG+Chvnp5hTI35Rz3cZu/VedGZSr2mzGylHC4AmpGSKdOqv/GBNkiIkynAAA8XPbnXyjzmWck7qcFd2CxKOmzaQpuww+2AVQdQzfAA61PydTcKWmnvCaylr+a7/lBIUtm1EwUfFZ4r15KePklWQMDTacAALzE4V9+0a6HHpazuNh0CqCgNm2U9Nk0WSwW0ykAPAzbSwEPU1xYpiVfbT7tdTkHS5US0Etbbn5NZXENa6AMvijqhutVb9yrDNwAAC4VfsklavDeu7KyghpuoGjVKuV8+aXpDAAeiJVugIdZ+Fm6Vs/bWaXPCQi2qYX/BkXPfF0Wh72ayuBr6gwbqphhw0xnAAC8WFH6Ru24+26V7d1rOgU+zlarls756UdupQGgSljpBniQfTsOa82CXVX+vJJCu1Jzk7X62okqanNxNZTB18Q99RQDNwBAtQtq2kRJn36igKQk0ynwcfaDB7XvtddNZwDwMKx0AzyE0+nUVy+t1J4txx+eUBUWq9Qk7rASZo6R9fBBF9XBZ1gsin/uOUVde43pEgCADynL2qftgwapZMsW0ynwZTabGn31pYKaNTNdAsBDMHQDPETakt365YP1Lnu+kHA/tShKUcSc9132nPByFoviRz2vqKuvNl0CAPBBZfv2afudd6lk0ybTKfBhwR07KOmjj0xnAPAQbC8FPEBxQal++/r0hydURcHhMi0v7aj1N01UaWOOQMdpWK1KGP0iAzcAgDF+MTFqOHWKAps2NZ0CH1a4fIVyvptpOgOAh2ClG+ABfv1yk1LnZFTb89v8rTo3KlOx34yRpaSo2l4HHspqVcJLYxR5+eWmSwAAUNmhQ8q48y4Vr3fdDgCgKvxiY3XOjz/IGhpqOgWAm2OlG+DmDh8s0ur5VTuttKrspQ6t3RenlVe8roILr6rW14KHsdlUb+zLDNwAAG7DLzpaDae8r6CWLUynwEeVZWVp/+TJpjMAeACGboCb+/27LbKXOmrktXIOlioloJe23PyayuIa1shrwo1Zrar30kuK6NfPdAkAABXYoqLU4N13Fdi8uekU+KiDH3yo0t27TWcAcHMM3QA3dmBXnjak7Knx1922208p5/1HB698UE6rrcZfH27AalXCmNGKuIyBGwDAPdmiotTgvXe5xxuMcBYXa99rr5nOAODmGLoBbizlmy0yddfFkkK7UnObaPW1E1XU5mIzETDDYlH8qFGKvOIK0yUAAJySX3S0Gkx5X4FNmphOgQ/K+W6mitLSTGcAcGMM3QA3tXtTtrat2m86Q/uzyvRbnRu186YX5QivZToHNSD++ZGKumqA6QwAACrFr1YtNXj/PQU0bmw6Bb7G4VDWSy+ZrgDgxhi6AW7qt682m04o53RI6Znh+r37C8rtdafpHFSjuiNGKGrgQNMZAABUiV+dOmo4ZYoCGiWZToGPyV/ym/IWLTKdAcBNMXQD3NCW1H3asyXHdMZxCg6XaXlpR224aaJKG7UynQMXi/33vxV9/XWmMwAAOCN+sTFq8P778ouPN50CH5P10styOmrm4DMAnoWhG+BmHA6nUma4zyq3E9mV6dSS5KHae+3TcgYEmc6BC9S+e7BqD7rDdAYAAGfFv25dNXjnbVkjI02nwIcUp6cr5+sZpjMAuCGGboCbWf9bpg7tKTCdcVr2UofW7o/TyiteV0GXK03n4CxEXn2VYh95xHQGAAAuEXjOOUp8c7IsQfxgEDVn3+uvy1FYaDoDgJth6Aa4kbISu5bN3Go6o0pyDpYqJbCPttw8TvbYBqZzUEVh3bopfsQI0xkAALhUSLt2qjfuVclmM50CH1G2d68OTp1qOgOAm7E4nU6n6QgAR6yctV2/fe3eW0tPJSDYphb+6xU9c7wsDrvpHJxGcLt2avDeu7KGhJhOAQCgWmR//bUy//OE6Qz4CGtYmM6ZPUt+tWqZTgHgJljpBriJovxSrZy13XTGWSkptCs1t4lWXztRRW0uNp2DUwho3Fj1J09i4AYA8GpRV1+tmIcfNp0BH+HIy9P+CW+YzgDgRhi6AW5i5U/bVVxQZjrDJfZnlem3Ojdq500vyhHOT/rcjV9cnBq887b8oqJMp5zWwoUL1b9/fyUkJMhisWjGjBkVHnc6nRo+fLgSEhIUHBys7t27a+3atRWuefjhh1WrVi01aNBA06ZNq/DY9OnT1b9//+p+GwAAg+rcc7eib7/ddAZ8xKHp01WybZvpDABugqEb4AbyDhVp1fydpjNcyumQ0jPD9Xv3F5Tb607TOfiLNSJCDd55R/4JCaZTKiU/P19t27bVhAkTTvj4mDFj9Morr2jChAlatmyZ6tatq169eunw4cOSpO+++06ffPKJZs+erdGjR+vOO+/UgQMHJEnZ2dl68skn9cYb/EQaALxd3L8fV8QVl5vOgC8oK9O+8Sf+cwsA38M93QA3MPeDNK1fkmk6o1rVi7eoccpE+W9dYzrFZ1kCA9Xg/fcUct55plPOiMVi0ddff62rrrpK0pFVbgkJCXrwwQf1+OOPS5KKi4sVFxen0aNH65///KfGjBmjlStXlq9wi4uL08yZM9WpUyfdc889at68uR566CFTbwkAUIOcJSXaMeRe5S9ZYjoF3s5qVeNvv1FgcrLpEgCGsdINMOzA7jxtSNljOqPa7cp0aknyUO299mk5A4JM5/geq1X1Xn3FYwduJ7J161bt2bNHvXv3Lv9YYGCgunXrpiV/fUPVtm1bLV++XIcOHdKKFStUWFio5ORkLV68WCtXrtT9999vKh8AUMMsAQGqN/51BbVqaToF3s7h0D5W0gMQQzfAuJQZW+R0+MaCU3upQ2v3x2nlFa+roMuVpnN8SvyIEQq/5BLTGS61Z8+RYXVcXFyFj8fFxZU/1qdPH916663q1KmTBg0apKlTpyo0NFT33nuv3nzzTU2aNEnNmjXTRRdddNy94AAA3scWGqrEN9+Uf8OGplPg5Q7/NEtF6emmMwAYxtANMChzU7a2rdpvOqPG5RwsVUpgH225eZzssQ1M53i92v/8p6KuvcZ0RrWxWCwVfu90Oit8bPjw4dq0aZNWr16tq6++WqNGjVLPnj3l7++vkSNHavHixRo8eLBu5ybbALzY6Q6msVgsJ/z10ksvlV/jLQfT+NWurQZvvilrRITpFHgzp1P7ubcb4PMYugEG/fb1ZtMJRm3b7a/fOjyhg1c+KKfVZjrHK4VdeqliHvDOLZR169aV9L8Vb0dlZWUdt/rtqPXr1+vjjz/Wc889p/nz56tr166KiYnR9ddfr5UrVyo3N7fauwHAhNMdTJOZmVnh13vvvSeLxaJrrjnyQxtvO5gmIKmh6r36qmTl2yFUn8M//6yi9etNZwAwiP+XAQzZkrpPmZtzTGcYV1JoV2puE62+dqKK2lxsOserBDZpooQxo2Xx0m8oGjVqpLp162rOnDnlHyspKdGCBQt04YUXHne90+nUPffco7FjxyosLEx2u12lpaWSVP6/DoejZuIBoIb169dPI0eO1MCBA0/4eN26dSv8+uabb9SjRw81btxYkpSWlqbu3burY8eOuummmxQREaEtW7ZIkh577DHdd999atDAs1avh110oeL+/bjpDHgzp5OTTAEf553fiQFuzulwKuWbLaYz3Mr+rDL9VudG7bzpRTnCa5nO8Xi2qCjVn/iGbKGhplPOSl5enlJTU5WamirpyOEJqampysjIkMVi0YMPPqhRo0bp66+/1po1azRo0CCFhITo5ptvPu653n77bcXGxurKK4/cT/Ciiy7SL7/8opSUFL366qtq0aKFoqKiavDdAYB72rt3r77//nv94x//KP+Ytx5MU+v22xV5jffeggHm5c2dq0LuGwv4LD/TAYAv2vzHPh3KzDed4XacDik9M1w7u7+gFkUpipjzvukkz2Szqd64VxWQmGi65KwtX75cPXr0KP/9ww8/LEm64447NGXKFD322GMqLCzUfffdp0OHDun888/X7NmzFR4eXuF59u7dq1GjRpWfaipJnTt31iOPPKLLL79csbGxmjp1as28KQBwc1OnTlV4eHiFVXHHHkwTHBxc4WCaKVOmaNKkSRo/frzq1Kmjt956Sy1bes4JoXWfeVolW7ao8I8/TKfAS+1/fbwS35xsOgOAARan0+kbxyYCbmT6qGXal3HYdIbbqxdvUeOUifLfusZ0ikeJe+op1brl+JVeAABIRw5N+Prrr3XVVVed8PFzzz1XvXr10vjx40/5PMOHD1dOTo7uvPNO9e7dW6tXr9bMmTM1YcIErVixohrKq0/Zvn3aet31KvvbfUIBV0ma/pmC27QxnQGghrG9FKhhO9YfZOBWSbsynVqSPFR7r31azoAg0zkeIer66xi4AQDO2KJFi7RhwwYNHjz4lNd528E0fjExSnzjDVmC+PMGqgf3dgN8E0M3oIb9MWu76QSPYi91aO3+OK284nUVdLnSdI5bC+7QQXX/+1/TGQAAD/buu++qQ4cOatu27Umv8daDaYJatlDCqFGmM+Cl8hctUgFbmAGfw9ANqEH7Mg5rR9oh0xkeKedgqVIC+2jrzeNkj/Ws09Fqgl9Cguq//posAQGmUwAAbuhUB9MclZubq88///y0q9y8+WCaiMv6qfY//2k6A15q/4Q3TCcAqGHc0w2oQbPeXqNNK7JMZ3i8gGCbWvivV/TM8bI47KZzjLMEByvpk48V1Ly56RQAgJuaP39+hYNpjjp6MI0kvfXWW3rwwQeVmZmpyMjIEz7P3r17df7552vJkiVKSEgo//iIESP02muvlR9M07lz52p5HzXB6XBo59Bhyps3z3QKvFDSl18o2IMOGgFwdhi6ATUkZ1+BPn5mqZwO/pVzlZhYPzVN+0iBqxeZTjGq3rhXFdG3r+kMAAC8hj0vT9tvulnFGzeaToGXibisn+q98orpDAA1hO2lQA35Y84OBm4uti+rTEtibtTOG1+UI7yW6Rwjag8ZwsANAAAXs4WFqf4bE2SNiDCdAi+TO2u2So7Z1g3AuzF0A2pAQW6J1v+WaTrDKzkdUvqecC3r8YJyew4ynVOjQjp1UsywoaYzAADwSgENGih+5EjTGfA2drsOvPee6QoANYShG1AD/vxlh+ylnneKlyfJzy3T8rJO2nDTRJU2amU6p9rZoqKU8PJLsvj5mU4BAMBrRfTupehbbjadAS+T8/UMle3fbzoDQA1g6AZUs5KiMq1duMt0hs/YlenUb8lDtffap+QMCDKdU20SRo+Wf1yc6QwAALxe7GOPKZDDiuBCzuJiHfzgQ9MZAGoAQzegmq1duFvFBWWmM3xKWalDa/fX1corXldBlytN57hcrbvuUli3rqYzAADwCdbAQNV79RVZQkJMp8CLHJo2Tfa8fNMZAKoZQzegGtnLHPpzLjdKNSXnYKlSAvto683jZI9tYDrHJYLatFHsgw+YzgAAwKcEJiUpfvgzpjPgRRy5ucr+7DPTGQCqGUM3oBptWLpH+TklpjN83tbd/vqtwxM6eOWDclptpnPOmDU8XPVeGStLQIDpFAAAfE7klVcqcuBA0xnwIgenTpWzhO8VAG/G0A2oJk6HU6lzWOXmLkoK7UrNbaI1105UceuLTeeckfjnRyqgfn3TGQAA+Ky6/31SAeecYzoDXqIsK0s5335rOgNANWLoBlSTrX/u16E9BaYz8Df7ssq0JOZG7bzxRTnCa5nOqbTom29WRO/epjMAAPBp1pCQI/d3Cww0nQIvceDd9+R0OExnAKgmDN2AarJy9nbTCTgJp0NK3xOuZT1eUG7PQaZzTivw3HMV+/hjpjMAAICkoKZNFffkE6Yz4CVKtm7V4Z9/Np0BoJowdAOqwa70Q9q7Ndd0Bk4jP7dMy8s6acNNE1XaqJXpnBOy/PUTdSs/UQcAwG1EX3+9Ii67zHQGvMTBd98znQCgmjB0A6rBylncy82T7Mp06rfkodp77VNyBgSZzqkg/plnFNiokekMAADwN3VHPCv/xETTGfAChX/+qcLVa0xnAKgGDN0AF9u/M08Zaw+YzkAVlZU6tHZ/Xa284nUVdLnSdI4kKaJ/f0UOcI8WAABQkS0sTPVeGSvZPPdkdLiPQx99ZDoBQDVg6Aa42MpZ3MvNk+UcLFVKYB9tvXmc7LENjHX4xcao7n+fNPb6AADg9IJbt1btwYNNZ8AL5P74o8oOHjSdAcDFGLoBLpS7v1CbVmSZzoALbN3tr986PKGDVz4op7Xmf4Jd99lnZYuMrPHXBQAAVVNn6H0KbNLEdAY8nLOkRNnTp5vOAOBiDN0AF1r1y045HU7TGXCRkkK7UnObaM21E1Xc+uIae93IAQMU3qNHjb0eAAA4c9aAAMW/MIptpjhrhz6dJmdZmekMAC7E0A1wkbJSu9YvzTSdgWqwL6tMS2Ju1M4bX5QjvFa1vpZfbIzinvhPtb4GAABwreBWrdhmirNWtnevDs+ZYzoDgAsxdANcZPPKfSrO5ydT3srpkNL3hGtZjxeU23NQtb0O20oBAPBMbDOFKxz86GPTCQBciKEb4CLrFu82nYAakJ9bpuVlnbThpokqbdTKpc/NtlIAADwX20zhCoUrVqgoLc10BgAXYegGuMChPfnavTHbdAZq0K5Mp35LHqq91z4lZ0DQWT8f20oBAPB8bDOFKxz86CPTCQBchKEb4AKscvNNZaUOrd1fVyuveF0FF/Q/q+eqO2IE20oBAPACdYbep8CmbDPFmcud+b3KDh0ynQHABRi6AWfJXubQ+pQ9pjNgUM7BUqUE9dXWm8fJHtugyp8fedUAhXfv7vowAABQ46wBAYofxTZTnDlncbGyP//CdAYAF2DoBpylLan7VJRXajoDbmDrbn+ldHhCB/s/KKfFUqnP8YuNUdx/2FYKAIA3YZspztahaZ/KabebzgBwlhi6AWdp7SK2luJ/igvtSj3cRGuum6zi1hef9nq2lQIA4J3YZoqzUbY7U3nz5pnOAHCWGLoBZyFnX4F2pXO/BRxvX1aZlsTcqJ03viBHWPQJr4m48kq2lQIA4KXKt5la+ZYLZ4YtpoDn4/8BgLOwbvFuyWm6Au7K6ZDS90Ro2SUv6nDPOyo8Zg0PV9xj/2eoDAAA1ITgVq0UfeONpjPgofIWL1bp3izTGQDOAkM34AzZ7Q6l/cYBCji9/NwyLSvrrA03TVRpo1aSpJj7/yW/OnUMlwEAgOoW88D9skWfeNU7cEp2u3K+/tp0BYCzwNANOEPb/tyvwtwS0xnwILsynfoteajyh41V9E03mc4BAAA1wBYZqdhHHzGdAQ+V/dVXcjrZWgN4KoZuwBlau5gDFFB1ZaUOJfS9UBY/P9MpAACghkRefbWC2rY1nQEPVJqRoYKlv5vOAHCGGLoBZyB3f6F2pB00nQEP1Oz8ukpIjjKdAQAAapDFalXdp5+SLBbTKfBA2V9+aToBwBli6AacgXW/coACqi4gyKYLB55jOgMAABgQ3LKlom64wXQGPNDh2bNlz801nQHgDDB0qwZJSUkaN26c6YxT8oRGd+VwOLV+SabpDHigzv0bKyQy0HQGAAAwJPbBB2SLijKdAQ/jLC5Wznffmc4AcAaqPHTLysrSP//5TzVo0ECBgYGqW7eu+vTpo99++606+irw1kHRkiVLdNlllyk6OlpBQUFq3bq1xo4dK7vdXqXnmTJliqL4P/Fqt23VfuXncIACqqZWQqhad69nOgMAABhki4pSzMMPm86AB2KLKeCZqjx0u+aaa/Tnn39q6tSpSk9P17fffqvu3bvr4MHqu79VSYn3Dji+/vprdevWTfXr19e8efO0fv16PfDAA3r++ed14403evRJNaWlpaYTqsU6DlDAGeh2UzNZbSwuBgDA10Vde42CWrc2nQEPU7wuTUXr1pnOAFBFVfoOMDs7W4sXL9bo0aPVo0cPNWzYUJ07d9Z//vMfXX755ZIki8WiSZMmqV+/fgoODlajRo30+eefV3ie1atX65JLLlFwcLBq166te+65R3l5eeWPDxo0SFdddZVeeOEFJSQkqGnTpurevbu2b9+uhx56SBaLRZa/bkK6fft29e/fX9HR0QoNDVXLli31ww8/nPa92O12/eMf/1CjRo0UHBysZs2a6bXXXqtwzdGOl19+WfHx8apdu7aGDh1aYZiUlZWl/v37l7/Xjz/+uNJfz/z8fN1999268sor9dZbb6ldu3ZKSkrS4MGDNXXqVH3xxReaPn26JGn+/PmyWCzKzs4u//zU1FRZLBZt27ZN8+fP15133qmcnJzyr8/w4cMr3ZiRkaEBAwYoLCxMERERuv7667V3794K10yaNEnnnHOOAgIC1KxZM3344YcVHrdYLJo8ebIGDBig0NBQjRw5UocOHdItt9yimJgYBQcHq0mTJnr//fcr/TVyN4cPFilj7QHTGfAwTTvHKaFJlOkMAADgBjhUAWcq+wtWuwGepkpDt7CwMIWFhWnGjBkqLi4+6XVPPfVU+Yq4W2+9VTfddJPS0tIkSQUFBerbt6+io6O1bNkyff755/r55581bNiwCs8xd+5cpaWlac6cOZo5c6a++uor1a9fXyNGjFBmZqYyM4/cU2vo0KEqLi7WwoULtXr1ao0ePVphYWGnfS8Oh0P169fX9OnTtW7dOj399NN64oknyodcR82bN0+bN2/WvHnzNHXqVE2ZMkVTpkwpf3zQoEHatm2bfvnlF33xxReaOHGisrKyKvX1nD17tg4cOKBHH330uMf69++vpk2b6tNPP63Uc1144YUaN26cIiIiyr8+R5/3dI1Op1NXXXWVDh48qAULFmjOnDnavHmzbjjmRq9ff/21HnjgAT3yyCNas2aN/vnPf+rOO+/UvHnzKnQ888wzGjBggFavXq277rpLTz31lNatW6cff/xRaWlpmjRpkurUqVOp9+SO0n7dLQ9efAgD/ANtunBgsukMAADgRoJbt1bUddeazoCHyZk5U45TfB8OwP34VeliPz9NmTJFd999tyZPnqzzzjtP3bp104033qg2bdqUX3fddddp8ODBkqTnnntOc+bM0fjx4zVx4kR9/PHHKiws1AcffKDQ0FBJ0oQJE9S/f3+NHj1acXFxkqTQ0FC98847CggIKH9em82m8PBw1a1bt/xjGRkZuuaaa9T6ryXajRs3rtR78ff317PPPlv++0aNGmnJkiWaPn26rr/++vKPR0dHa8KECbLZbDr33HN1+eWXa+7cubr77ruVnp6uH3/8USkpKTr//PMlSe+++66aN29eqYb09HRJOun15557bvk1pxMQEKDIyEhZLJYKX5/KNP78889atWqVtm7dqsTEREnShx9+qJYtW2rZsmXq1KmTXn75ZQ0aNEj33XefJOnhhx9WSkqKXn75ZfXo0aP8uW6++Wbddddd5b/PyMhQ+/bt1bFjR0lH7svnqZwOp9I4QAFV1PmKRgqN4vAEAABQUcxDD+nw7DmyH7OTBTgVR26uDs+eo8j+V5hOAVBJZ3RPt927d+vbb79Vnz59NH/+fJ133nkVVn916dKlwud06dKlfKVbWlqa2rZtWz5wk6SLLrpIDodDGzZsKP9Y69atKwzcTub+++/XyJEjddFFF+mZZ57RqlWrKv1eJk+erI4dOyomJkZhYWF6++23lZGRUeGali1bymazlf8+Pj6+fJVYWlqa/Pz8ygdK0pFBWVUPMzjZfducTmf5NtozVZnGtLQ0JSYmlg/cJKlFixaKioqq8PftoosuqvDcF110UfnjRx37OpJ07733atq0aWrXrp0ee+wxLVmy5Kzej0nb1x5Q3iF+soTKi4wNVutL6pvOAAAAbsgvOlp1hg01nQEPkzOTU0wBT3JGd/UOCgpSr1699PTTT2vJkiUaNGiQnnnmmVN+ztHh0akGScd+/Nih3KkMHjxYW7Zs0W233abVq1erY8eOGj9+/Gk/b/r06XrooYd01113afbs2UpNTdWdd9553KEN/v7+xzU6HI7y9/L37qpo2rSpJB03uDpq/fr1atKkiSTJarVWeE2pcgcVVKbxZH9P/v7xv19zos/7+9+3fv36afv27XrwwQe1e/duXXrppSfcTusJ0n5llRuq5oIBjWXj8AQAAHAS0ddfL//6/IAOlZf/6xKVHTpkOgNAJbnku8EWLVooPz+//PcpKSkVHk9JSdG5555bfm1qamqF63/99VdZrdbyIdTJBAQEyG63H/fxxMREDRkyRF999ZUeeeQRvf3226dtXrRokS688ELdd999at++vZKTk7V58+bTft6xmjdvrrKyMi1fvrz8Yxs2bKhw2MGp9O7dW7Vq1dLYsWOPe+zbb7/Vxo0bddNNN0mSYmJiJKn8XnbSkYMUjnWir09lGlu0aKGMjAzt2LGj/GPr1q1TTk5O+TbU5s2ba/HixRWee8mSJZXaShsTE6NBgwbpo48+0rhx4/TWW2+d9nPcTUlhmbav4QAFVF5Mg3Cd0z7WdAYAAHBjloAAxTxwv+kMeJKyMh2eNct0BYBKqtLQ7cCBA7rkkkv00Ucfld8D7PPPP9eYMWM0YMCA8us+//xzvffee0pPT9czzzyj33//vfyghFtuuUVBQUG64447tGbNGs2bN0//+te/dNttt5Xfz+1kkpKStHDhQu3atUv79++XJD344IOaNWuWtm7dqpUrV+qXX36p1CAoOTlZy5cv16xZs5Senq6nnnpKy5Ytq8qXQ82aNVPfvn119913a+nSpVqxYoUGDx6s4ODgSn1+aGio3nzzTX3zzTe65557tGrVKm3btk3vvvuuBg0apGuvvbb8/nLJyclKTEzU8OHDlZ6eru+///64YV1SUpLy8vI0d+5c7d+/XwUFBZVq7Nmzp9q0aaNbbrlFK1eu1O+//67bb79d3bp1K98u+n//93+aMmWKJk+erI0bN+qVV17RV199ddpVa08//bS++eYbbdq0SWvXrtXMmTMrfc87d7Llz32ylzlMZ8CDdLn6HFmsnEoGAABOLeLyyxXYrJnpDHiQnJkzTScAqKQqn156/vnn69VXX1XXrl3VqlUrPfXUU7r77rs1YcKE8uueffZZTZs2TW3atNHUqVP18ccfq0WLFpKkkJAQzZo1SwcPHlSnTp107bXX6tJLL63w+SczYsQIbdu2Teecc075yi+73a6hQ4eqefPm6tu3r5o1a6aJEyee9rmGDBmigQMH6oYbbtD555+vAwcOlB8SUBXvv/++EhMT1a1bNw0cOFD33HOPYmMrv7rl2muv1bx587Rjxw517dpVzZo10yuvvKInn3xS06ZNK9++6e/vr08//VTr169X27ZtNXr0aI0cObLCc1144YUaMmSIbrjhBsXExGjMmDGVarRYLJoxY4aio6PVtWtX9ezZU40bN9Znn31Wfs1VV12l1157TS+99JJatmypN998U++//766d+9+yvcXEBCg//znP2rTpo26du0qm82madOmVfrr4y42LqvcibSAJNU/N1qJzWuZzgAAAB7AYrUq9uGHTWfAgxSuWKnSTG59A3gCi/Nkd/E/0ye0WPT111/rqquucuXTAsYU5Zfq/ccWy2F36b8q8GLX/ruj4pIiTGcAAAAPsv2221VQxZ038F2x//eoav/jH6YzAJwGd/gGTmPzyiwGbqi0c86LYeAGAACqLOYRVruh8nJmfm86AUAleO3QbciQIQoLCzvhryFDhtRIw8cff3zShpYtW9ZIA87ephVsLUXlWKwWnX9lY9MZAADAA4W0a6ewSy81nQEPUZyWpuItW0xnADgNl28vdRdZWVnKzc094WMRERFVuu/amTp8+LD27t17wsf8/f3VsGHDam/A2SnILdGUf/8qp8Mr/zWBi7X4fwnqceu5pjMAAICHKt64SVsGDJAcHOCF06tz372KuZ/TbwF35mc6oLrExsbWyGDtVMLDwxUeHm60AWdn88osBm6oFJu/VZ2uaGQ6AwAAeLDAJsmKvGqAcr762nQKPEDO998zdAPcnNduLwVcYePyE69UBP6u7SWJCosKNJ0BAAA8XMywYbL4+5vOgAco3Z6hwtWrTWcAOAWGbsBJ5B0qVubmHNMZ8ACBIX5q37uB6QwAAOAF/BMSFH3LzaYz4CFyOVABcGsM3YCT2LRir8TOUlTCeX0aKiiUn0gDAADXqP3Pf8oaFmY6Ax4g98cf5eQegIDbYugGnASnlqIygsL81bp7fdMZAADAi/hFR6vWbbeZzoAHKMvKUuGKFaYzAJwEQzfgBPIOFWvvthOffgscq+0lifIPtJnOAAAAXib6tltlCQoynQEPkDtnjukEACfB0A04gS2p+9haitPyD7SpVbd6pjMAAIAX8qtVS1HXXWc6Ax4g7+e5phMAnARDN+AEtqSytRSn16pbPe7lBgAAqk3tOwdJfn6mM+DmSnfvVuGataYzAJwAQzfgb4rySrV7I6eW4tRsfla1vTTRdAYAAPBi/gkJiryyv+kMeIDDbDEF3BJDN+Bvtvy5T04He0txaud2qavQyEDTGQAAwMvVHjxYslhMZ8DNMXQD3BNDN+BvtqTuM50AN2exSO17NzSdAQAAfEBg48YK79XTdAbcXMm2bTqcscV0BoC/YegGHKOkqEw70w6ZzoCbS+4Yp8iYYNMZAADAR9S+5x7TCXBDloAAFZ/fWr8P6qj/e6SWPsv5xXQSgL/hrpzAMbavPiB7mcN0BtzceX1Y5QYAAGpOcKtWCr3wQuUvWWI6BYZZwsOV2yFZS5s49XmtzTpkTSt/bP6O+RrcerC5OADHYegGHGPzH2wtxak1bF1bdeqHmc4AAAA+pvY9dzN081GW2DrK6pCkBY0K9U3EJhVbVp/wutX7V+tA4QHVDq5dw4UAToahG/CXslK7MtYeMJ0BN9ehL6vcAABAzQu94AIFtWmjolWrTKegJiQlake7eM1qkK05IVvktKSe9lMcTocW7lyoq5tcXf19ACqFoRvwlx3rDqq02G46A24sPjlK8edEmc4AAAA+qs49d2vnsH+ZzkB1sFjkaJGs9NbR+jZhj5YH7paUWeWnmbdjHkM3wI0wdAP+sm0Nq9xwaqxyAwAAJoVdcokCkpNVsmmT6RS4gr+/Sto11aoWwfoidru2+G2VtPWsnjIlM0XF9mIF2gJd0wjgrDB0A/6yM+2g6QS4sdr1QtWwFffHAAAA5lisVtX+x13K/M8TplNwhixhoTrcoYl+b2LR57U364B1g0ufv7CsUCm7U9QtsZtLnxfAmWHoBkjK2Veg3P1FpjPgxlp3q286AQAAQBH9+ilr9BjZs7NNp6CSrHVqa1+HRlp4TrG+jtioIsuaan29eTvmMXQD3ARDN0DSjrRDphPgxvyDbGraOc50BgAAgKxBQYocOFAH33vPdApOwdKwvna0i9echrn6KWRzpQ5CcJWFOxfK6XTKYrHU2GsCODGGboDYWopTO/eCePkH8Z9LAADgHqJvvIGhm7uxWOQ49xxtalNL3yTs0bKg3ZL2GEnZV7hP6w6uU8vaLY28PoD/4btI+Dynw6mdG1jphpNr1a2e6QQAAIByAQ0aKPTii5W/aJHpFN/m56fSds20unmIvozL0Eb/bZK2GY46YmnmUoZugBtg6Aafl5VxWMUFZaYz4KbqNY1SrfhQ0xkAAAAVRN98E0M3Ayyhocrr0ETLmlj1Re0tyrK59iAEV0nZnaK7Wt1lOgPweQzd4PN2sLUUp9CKAxQAAIAbCuvaVX4JCSrbvdt0itez1K6lAx0aadE5Jfo6YpMKrNV7EIIr/JH1h0rsJQqwBZhOAXwaQzf4vJ3rGbrhxEIiAtSoXR3TGQAAAMex2GyKvvEG7XvlVdMpXsmSmKBd59XX7AY5mhW2RXb9aTqpSorsRUrNSlXn+M6mUwCfxtANPq20xK49m3NNZ8BNtbw4QTab1XQGAADACUVdc432jZ8glZaaTvF8FouczRprc5va+q5eln4L2ikpy3TVWUnJTGHoBhjG0A0+LXNjtuxlDtMZcEMWq0Ut/l+C6QwAAICT8qtdWxF9+ih35kzTKZ7Jz0+lbZtqTfMQfVV3pzb4b5e03XSVyyzds9R0AuDzGLrBp3E/N5xMo7Z1FBYdZDoDAADglKJvvomhWxVYgoOV36GpVjSz6bM6m5VlTTedVG3W7l+rvJI8hQWEmU4BfBZDN/i0HesPmU6Am2rdrZ7pBAAAgNMKOe88BTZrpuIN7nmKpjuw1IrWwQ6N9es5pfoqapPyLGtNJ9UIu9OuZXuWqUeDHqZTAJ/F0A0+qyC3RAd25ZnOgBuKigtR/XNrmc4AAAColOibb9KeZ4abznArlvoJ2t2+nuYm5en7sE0edxCCqyzds5ShG2AQQzf4rJ0bDkpO0xVwR626ssoNAAB4jsgrrlDWmJfkyM83nWKUs1ljbWlTRzPrZenXYM8/CMEVUnanmE4AfBpDN/isHWlsLcXxrFaLmp4fZzoDAACg0qyhoYro10/ZX3xhOqVm+fmprHUTrWsRpq/id2qdf4akDNNVbmVzzmbtK9inmJAY0ymAT2LoBp+1k0MUcAINWtVWcFiA6QwAAIAqibiyv08M3SzBQSo4r6lWNvXX9JgtyrRtNJ3k9lIyU9T/nP6mMwCfxNANPunQnnzlHSo2nQE31LQzq9wAAIDnCenYUX5166pszx7TKS5niY7SofMaa0kTu76M3KTD1nWmkzzK0sylDN0AQ6ymAwAT2FqKE/EPsimpTR3TGQAAAFVmsVoVecUVpjNcxpJQV3uu6KRPhjXXTf8s0D2dV2lK9FodtvKD86paumep6QTjLBaLZsyY4RGvPXz4cLVr167aeipj/vz5slgsys7OrpHXq6m/P1OmTFFUVFSFj7311ltKTEyU1WrVuHHjXP71Z+gGn7RzPVtLcbxz2sfKP8BmOgMAAOCMRFzp4auZmiRp67WdNeHBxrrujv26v/UfmhG+UWUWh+kyj7Ynf4+25WwznXHGBg0apKuuusp0RrmqDqQyMzPVr1+/6o0y7M0331Tbtm0VGhqqqKgotW/fXqNHj67051fH1ygpKUnjxo2r8LEbbrhB6enp5b/Pzc3VsGHD9Pjjj2vXrl2655579Oijj2ru3Lku62B7KXyOw+HUrg2sdMPxmnGAAgAA8GBBTZsqsGlTFR/zTaVbs9lkb9VEaS3D9VXCbq3x3ylpp+kqr7Q0c6mSIpNMZ/iUkpISBQQEqG7duqZTqtW7776rhx9+WK+//rq6deum4uJirVq1SuvWVX4beE19jYKDgxUcHFz++4yMDJWWluryyy9XfHx8+cfDwsJc9pqsdIPPydqWq5Iiu+kMuJmQyAAlNI02nQEAAHBWIq+80nTCKVmCglTUpY2W3NlBDz0SqZsu26QRDf/QGv+9ptO8WkpmiukEl+jevbvuv/9+PfbYY6pVq5bq1q2r4cOHV7hm48aN6tq1q4KCgtSiRQvNmTOnwuMnWqmWmpoqi8Wibdu2SZK2b9+u/v37Kzo6WqGhoWrZsqV++OEHbdu2TT169JAkRUdHy2KxaNCgQeVtw4YN08MPP6w6deqoV69eko7fOvn444+radOmCgkJUePGjfXUU0+ptLT0jL4ey5YtU69evVSnTh1FRkaqW7duWrlyZYVrLBaL3nnnHV199dUKCQlRkyZN9O2331a45ocfflDTpk0VHBysHj16lH8dKuO7777T9ddfr3/84x9KTk5Wy5YtddNNN+m5556rcN17772nli1bKjAwUPHx8Ro2bFiFxmO/Rrt27dINN9yg6Oho1a5dWwMGDKjQdHT148svv6z4+HjVrl1bQ4cOLf86du/eXdu3b9dDDz0ki8Uii8UiqeL20ilTpqh169aSpMaNG5f//T/R9tJTtZ8OQzf4nB2cWooTaNo5TlarxXQGAADAWYm4/DLJ4l5/prFERijnkvP00z1tNfhBP93efZ3G1f1Tu2y5ptN8xu97fpfD6R3bdKdOnarQ0FAtXbpUY8aM0YgRI8oHaw6HQwMHDpTNZlNKSoomT56sxx9/vMqvMXToUBUXF2vhwoVavXq1Ro8erbCwMCUmJurLL7+UJG3YsEGZmZl67bXXKrT5+fnp119/1ZtvvnnC5w4PD9eUKVO0bt06vfbaa3r77bf16quvnsFXQjp8+LDuuOMOLVq0SCkpKWrSpIkuu+wyHT58uMJ1zz77rK6//nqtWrVKl112mW655RYdPHjk++IdO3Zo4MCBuuyyy5SamqrBgwfr3//+d6Ub6tatq5SUFG3fvv2k10yaNElDhw7VPffco9WrV+vbb79VcnLyCa8tKChQjx49FBYWpoULF2rx4sUKCwtT3759VVJSUn7dvHnztHnzZs2bN09Tp07VlClTNGXKFEnSV199pfr162vEiBHKzMxUZmbmca9zww036Oeff5Yk/f7778rMzFRiYuJZtZ8I20vhcxi64USadfbuZd8AAMA3+MfHK6RzJxUs/d1ohyU+TnvOa6B5jfI1M2yzSiyrjPb4utySXG04uEHNazc3nXLW2rRpo2eeeUaS1KRJE02YMEFz585Vr1699PPPPystLU3btm1T/fr1JUmjRo2q8v3CMjIydM0111RYCXVUrVq1JEmxsbHH3ZQ/OTlZY8aMOeVz//e//y3/66SkJD3yyCP67LPP9Nhjj1WpUZIuueSSCr9/8803FR0drQULFuiKYw5WGTRokG666SZJR74e48eP1++//66+fftq0qRJaty4sV599VVZLBY1a9asfNBYGc8884wGDhyopKQkNW3aVF26dNFll12ma6+9VlbrkXVeI0eO1COPPKIHHnig/PM6dep0wuebNm2arFar3nnnnfIVau+//76ioqI0f/589e7dW9KRlYYTJkyQzWbTueeeq8svv1xz587V3XffrVq1aslmsyk8PPykW1eDg4NVu3ZtSVJMTMxJr6tK+4kwdINPsZc5tHcbP1FDRbUSQlUnMdx0BgAAgEtE9r/SzNDtnIba1i5OP9U/qF9Ctkk6UPMNOKk/9/3pNUO3Y8XHxysrK0uSlJaWpgYNGpQP3CSpS5cuVX6N+++/X/fee69mz56tnj176pprrjnudU+kY8eOp73miy++0Lhx47Rp0ybl5eWprKxMERERVW6UpKysLD399NP65ZdftHfvXtntdhUUFCgjI6PCdce2h4aGKjw8vMLX7IILLigfcElV+5rFx8frt99+05o1a7RgwQItWbJEd9xxh9555x399NNP2r9/v3bv3q1LL720Us+3YsUKbdq0SeHhFb8/Kyoq0ubNm8t/37JlS9ls/zsELz4+XqtXr650d2VkZWVVqf1EGLrBp+zfmSdHmdN0BtxM084coAAAALxHeO9e2vPss3Ke4X2iKs1qlb1VE61vFaGv43drVcAuSbuq9zVxxv7c96duPPdG0xlnzd/fv8LvLRaLHI4jW2edzuO/17P8bbv10dVXx17793uqDR48WH369NH333+v2bNn64UXXtDYsWP1r3/965RtoaGhp3w8JSVFN954o5599ln16dNHkZGRmjZtmsaOHXvKzzuZQYMGad++fRo3bpwaNmyowMBAdenSpcI2TKnqX7Mz0apVK7Vq1UpDhw7V4sWLdfHFF2vBggWVGkQey+FwqEOHDvr444+PeywmJqb8r0/1nlzl2EMXzhRDN/iULFa54QSadmJrKQAA8B62iAiFXdJDh2fNdvlzWwIDVdS+qVLPDdTnsduUYdt8+k+CW0jNSjWdUO1atGihjIwM7d69WwkJCZKk3377rcI1Rwc3mZmZio4+cpBaamrqcc+VmJioIUOGaMiQIfrPf/6jt99+W//6178UEBAgSbLbq34436+//qqGDRvqySefLP/Yqe6FdjqLFi3SxIkTddlll0k6cn+2/fv3V+k5WrRoUeEQA+nIcPBstGjRQpKUn5+v8PBwJSUlae7cueWHUJzKeeedp88++0yxsbFnvAJQkgICAs7o79Gxqtp+IhykAJ+StZ2hGypKaBKl8NpBpjMAAABcKrJ/f5c9lyUiQrk9ztOcu9tp8IP+uq1HmsbGpyrDlu2y10D125m3UwcKvXvLb8+ePdWsWTPdfvvt+vPPP7Vo0aIKAy7pyH3XEhMTNXz4cKWnp+v7778/bqXZgw8+qFmzZmnr1q1auXKlfvnlFzVvfmRrbsOGDWWxWDRz5kzt27dPeXl5le5LTk5WRkaGpk2bps2bN+v111/X119/fcbvNzk5WR9++KHS0tK0dOlS3XLLLVVenTVkyBBt3rxZDz/8sDZs2KBPPvmk/ECCyrj33nv13HPP6ddff9X27duVkpKi22+/XTExMeXbVIcPH66xY8fq9ddf18aNG7Vy5UqNHz/+hM93yy23qE6dOhowYIAWLVqkrVu3asGCBXrggQe0c+fOSnclJSVp4cKF2rVrV5UHkceqSvuJMHSDT8nafvj0F8GnNO3E1lIAAOB9Qrt2lfUsVolY4mK0r19HfT60pW65r1iDL1ilt+usUY61yIWVqGl/7vvTdEK1slqt+vrrr1VcXKzOnTtr8ODBev755ytc4+/vr08//VTr169X27ZtNXr0aI0cObLCNXa7XUOHDlXz5s3Vt29fNWvWTBMnTpQk1atXT88++6z+/e9/Ky4uTsOGDat034ABA/TQQw9p2LBhateunZYsWaKnnnrqjN/ve++9p0OHDql9+/a67bbbdP/99ys2NrZKz9GgQQN9+eWX+u6779S2bVtNnjxZo0aNqvTn9+zZUykpKbruuuvUtGlTXXPNNQoKCtLcuXPLDyq44447NG7cOE2cOFEtW7bUFVdcoY0bN57w+UJCQrRw4UI1aNBAAwcOVPPmzXXXXXepsLCwSivfRowYoW3btumcc86psC21qqrSfiIWp6s28AJurrTYrrcfWiing3/k8T93jr5IIZGBpjMAAABcbtej/6fcmTMr/wmNGyijbV391OCgfg7ZVm1dMOeuVnfpoQ4Pmc4AfAb3dIPP2JdxmIEbKohrFMHADQAAeK3wSy459dDNapWjRbI2tIrSjHqZ+iNgt6TdNdaHmuftK90Ad8PQDT6D+7nh7xq1qWM6AQAAoNqEXvz/JD8/qays/GOWgAAVtWuqVc2D9HnsNm3z22KwEDVt3YF1KnOUyc/KKMAThIWFnfSxH3/8URdffHG1N/Tr10+LFi064WNPPPGEnnjiiWpv8GT8mwafwcml+Lskhm4AAMCL2cLDFdq5swpWr9Lh85poaRPpi9qbdcC63nQaDCksK9SGQxvUsnZL0ymohBOdqnpUvXr1aqThnXfeUWFh4Qkfq1WrVo00eDKGbvAZezlEAceIqBOk2vVO/pMjAAAAb7D3/mt1b+oKFVtWm06Bm1i9bzVDNw+RnJxsOqHGhnveitNL4ROK8kuVu+/E03n4Jla5AQAAX5CQ3EbFFrvpDLiRNfvXmE4AfAZDN/gE7ueGv+N+bgAAwBfUC6unptFNTWfAjaw9sNZ0AuAzGLrBJ2RtY2sp/icg2E/xTaJMZwAAANSIHok9TCfAjWzN2aqC0gLTGYBPYOgGn8BKNxyrYcvastnM/+cvKSlJFovluF9Dhw6VJL388suKi4tTXFycXn311Qqfu3TpUnXo0EF2O9tFAADAqXVP7G46AW7E7rQr7WCa6QzAJ3CQAnxCFoco4BhJbd1ja+myZcsqDM3WrFmjXr166brrrtPq1av19NNPa+bMmXI6nbriiivUq1cvtWrVSqWlpRoyZIjeeust2Ww2g+8AAAB4gha1W6hOcB3tL9xvOgVuYs3+NeoQ18F0BuD1zC/1AKpZfk6x8rOLTWfATVitFjVo4R5HW8fExKhu3brlv2bOnKlzzjlH3bp1U1pamtq0aaNLLrlEl156qdq0aaO0tCM/kXzppZfUtWtXderUyfA7AAAAnsBqsap7/e6mM+BG1u7nvm5ATWClG7xe1ja2luJ/4ptEKSjU33TGcUpKSvTRRx/p4YcflsViUevWrZWenq6MjAw5nU6lp6erVatW2rRpk6ZMmaIVK1aYTgYAAB6ke2J3fbHxC9MZcBNrDnCCKVATWOkGr8fWUhzLXU8tnTFjhrKzszVo0CBJUvPmzTVq1Cj16tVLvXv31gsvvKDmzZtryJAhGjNmjGbNmqVWrVqpffv2Wrhwodl4AADg9s6PP19BtiDTGXATOw7vUE5xjukMwOux0g1ej5VuOFaSmw7d3n33XfXr108JCQnlHxsyZIiGDBlS/vspU6YoPDxcXbp0UbNmzbRs2TLt3LlTN954o7Zu3arAwEAT6QAAwAME+QWpS0IXzdsxz3QK3MTaA2t1YcKFpjMAr8ZKN3g9VrrhqPDaQYqMCTadcZzt27fr559/1uDBg096zf79+zVixAiNHz9eS5cuVdOmTdWkSRP16NFDpaWlSk9Pr8FiAADgiS6Iv8B0AtzIpkObTCcAXo+hG7xazr5CFeWXms6Am6jXNNp0wgm9//77io2N1eWXX37Sax588EE99NBDql+/vux2u0pL//fPdVlZWYVTUAEAAE6kU10OYcL/bM7ZbDoB8HpsL4VXy9rO1lL8T72mUaYTjuNwOPT+++/rjjvukJ/fif+TPGfOHG3cuFEffPCBJKlz585av369fvzxR+3YsUM2m03NmjWryWwAAOCBzok6R1GBUcouzjadAjewKZuVbkB1Y+gGr8bWUhzLHVe6/fzzz8rIyNBdd911wscLCws1bNgwffbZZ7JajyxOrlevnsaPH68777xTgYGBmjp1qoKD3W/bLAAAcC9Wi1Ud4zrq54yfTafADWzN3mo6AfB6FqfT6TQdAVSXr8eu1O6N2aYz4AYi6gTptpHcKBYAAPi2T9d/qlFLR5nOgJuYc+0c1Q2tazoD8Frc0w1ebd8OVrrhCHdc5QYAAFDTOsZ1NJ0AN7I5m/u6AdWJoRu8Vn52sUqLuLk8jkhww/u5AQAA1LRzos5RdCA/jMQR3NcNqF4M3eC1srMKTCfAjbDSDQAA4Mh93TjFFEdtydliOgHwagzd4LWy9zJ0wxERdYIVXivIdAYAAIBbYOiGo1jpBlQvhm7wWjlZhaYT4CbqsbUUAACgXMe63NcNR2zJZqUbUJ0YusFrsb0UR9VrxtZSAACAo5KjklUrqJbpDLiBvNI87cnfYzoD8FoM3eC1slnphr8kNIkynQAAAOBWOsWxxRRHcIIpUH0YusErOR1O5e5j6AYpMob7uQEAAPwdW0xxFPd1A6oPQzd4pcMHi2Qvc5jOgBtI4H5uAAAAx+EwBRzFSjeg+jB0g1fifm44qm7jSNMJAAAAbqdRZCOF+4ebzoAbYOgGVB+GbvBK2XvZWoojYhvwh0kAAIC/s1qsal67uekMuIEtOZxgClQXhm7wSjmsdIMkm59V0QmhpjMAAADcUovaLUwnwA1wgilQfRi6wSuxvRSSVLt+qGw2/jMHAABwIgzdcBSHKQDVg+9G4ZWys9heCimmQYTpBAAAALfF0A1HcV83oHowdIPXsdsdOnygyHQG3EBsQ+7nBgAAcDKJ4YkcpgBJ0rbcbaYTAK/E0A1eJ3dfoZwOp+kMuAEOUQAAADg5DlPAUbvzdptOALwSQzd4HbaWQuIQBQAAUD0mTZqkNm3aKCIiQhEREerSpYt+/PHH8sdffvllxcXFKS4uTq+++mqFz126dKk6dOggu91e09knxRZTSNKuvF2mEwCv5Gc6AHC17L0cogAOUQAAANWjfv36evHFF5WcnCxJmjp1qgYMGKA//vhDDodDTz/9tGbOnCmn06krrrhCvXr1UqtWrVRaWqohQ4borbfeks1mM/wu/oehG6QjK90cToesFv78DLgSQzd4nRxOLoU4RAEAAFSP/v37V/j9888/r0mTJiklJUXh4eFq06aNLrnkEklSmzZtlJaWplatWumll15S165d1alTJxPZJ8XQDZJU6ihVVkGW6obWNZ0CeBWGbvA62QzdIA5RAAAA1c9ut+vzzz9Xfn6+unTpIovFovT0dGVkZMjpdCo9PV2tWrXSpk2bNGXKFK1YscJ08nGOHqZwuPSw6RQYtjtvN0M3wMVYOwqvk8M93SAOUQAAANVn9erVCgsLU2BgoIYMGaKvv/5aLVq0UPPmzTVq1Cj16tVLvXv31gsvvKDmzZtryJAhGjNmjGbNmqVWrVqpffv2Wrhwoem3IYnDFPA/3NcNcD1WusGrlJbYlZddbDoDhnGIAgAAqE7NmjVTamqqsrOz9eWXX+qOO+7QggUL1KJFCw0ZMkRDhgwpv3bKlCkKDw9Xly5d1KxZMy1btkw7d+7UjTfeqK1btyowMNDgOzmiRe0W+n3P76YzYNjOvJ2mEwCvw9ANXiUnq1Bymq6AaRyiAAAAqlNAQED5QQodO3bUsmXL9Nprr+nNN9+scN3+/fs1YsQILVy4UEuXLlXTpk3VpEkTNWnSRKWlpUpPT1fr1q1NvIUKuK8bJGnXYVa6Aa7Gd6XwKpxcCkmqU5+tpQAAoOY4nU4VFx+/2+LBBx/UQw89pPr168tut6u0tLT8sbKyMtnt9prMPKlza51rOgGGBfsFy1mSZzoD8DqsdINXydnH0A1SdN0Q0wkAAMBLPfHEE+rXr58SExN1+PBhTZs2TfPnz9dPP/1U4bo5c+Zo48aN+uCDDyRJnTt31vr16/Xjjz9qx44dstlsatasmYm3cJz6YfVls9hkd7rHEBCuVyswSvGB0UqwhSjeaVN8WaniiwqUkHdACTmZiizIkPYXS5eYLgW8C0M3eJXDB4pMJ8ANRMUydAMAANVj7969uu2225SZmanIyEi1adNGP/30k3r16lV+TWFhoYYNG6bPPvtMVuuRzUX16tXT+PHjdeeddyowMFBTp05VcHCwqbdRgb/NX/XD62t77nbTKTgDfhY/xQbVUnxApBKsQYp3SPGlxUoozFP84X2Kz96toNKM0z9RbqbkdEoWS/VHAz7C4nQ6uQMWvMb3E1dp26r9pjNg2C3PXqCoOAZvAAAAlTV07lAt3OkeJ6qiomC/YCUE1VZdvzAlWPyVYHeqbnGhEgpylJCbpZicTNlctUrx0U1SWIxrngsAK93gXQpyOLnU11mtFoXXCTKdAQAA4FGSIpK0UAzdTDi69TPeFqx4p58SysoUX5Sv+LwDSsjZo6iCSqxSc5XcnQzdABdi6AavUpBbYjoBhkXEBHNyKQAAQBU1jGhoOsErHbv1M94aqHiHRQmlJUooPKy6h/cpPidTwSU1OFQ7nZxdUkJ70xWA12DoBq/hdDoZukFRse5xbxQAAABPwtDtzATbghQfXEfxf239jLc7FF9crISCbMXnZik2Z7tszi2mMysvd7fpAsCrMHSD1yjKK5XDzi0KfR33cgMAAKi6pMgk0wluKTog8sipn36hf536WaaEonzF5x9UQnbmX1s/001nuk7uTtMFgFdh6AavkZ/DKjdwcikAAMCZiAuJU7BfsArLCk2n1Bibxfa3Uz8tiv9r62d83n7FZ+92r62fNYGVboBLMXSD1+AQBUhSVF2GbgAAAGeiYURDrT+43nSGyxy79TP+r1M/44uLFF+QrYTD+xSbnSGbc6vpTPeSs8t0AeBVGLrBa7DSDRIr3QAAAM6Upw3djm79jLeFKF5HTv1MKMpX3fyDSsjZo+h8L9v6WRPYXgq4FEM3eI2CXFa6+Tr/QJtCowJNZwAAAHikpIgk0wnljt36GW8NUsLftn7Wzc5UiK9t/awJh/eYLgC8CkM3eA1WuiGSk0sBAADOWE0O3YJtQaobVFsJ/uGqe3TrZ0mREvJzFH84S7E5O+TnYOtnjbOXSMV5UmCY6RLAKzB0g9fgnm6Ijgs1nQAAAOCxGkY2dNlzRQVEKD6wlhL8QhTv9Dty6mdxvuLzDik+J1O18lml5rYKDzF0A1yEoRu8hsX5h2ITcyUFy+EIlr0sUGUlgSoq9Fdpkb/pPNQAVroBAACcuYYRlRu62Sw2xQTVUsIxWz/rlpYooShPCYf3q272brZ+erLCQ1JUoukKwCswdIPX2LV+iQ7tPvGNP602PwWFRSgoLEL+QeHyCwiT1S9EFkuonM5gOexBKi0NUGlhgIoKAuR0Wmq4Hq4QXjvIdAIAAIDHigiIUKh/qOyOsvKtn/GWgPKtn/EFOUrI3cfWT29XeMh0AeA1GLrBaxQezj3pYw57mQpyDqog5+Dpn8hiUWBIqIJCIxQQEiH/wDDZ/MNksYZICpHDHqSyskCVFAWopDBAZaU2170JnJXQSA5RAAAAOBs/FYYrasfvkjaaToEpDN0Al2HoBq/gdDhUnJfnoidzqjg/T8X5eZJ2n/Zyv4BABYVHKDDkr1V0/kdW0UkhcjqDVfbXNtfiwgCVFPpJYhVddQmNDDCdAAAA4NGibPwQ0+cxdANchqEbvEJh3mE5nQ4jr11WUqy8A/uUd2Dfaa+1WK1HtrmGRigg+Og211BZbCFyOo7ci66sJFAlxQEqLvCXw26tgXfgPUJY6QYAAHB2wuuaLoBpDN0Al2HoBq9QmHvyraXuxOlwqDA3W4W52ZW6PiA4REFhkQoMCZdfYLj8/EOPbHO1hMrhCJK97MiArqQwUKXFvr3N1Wq1KDiMAzMAAADOCkM3MHQDXIahG7xC4eEc0wnVoqSwQCWFBZIyT3utzd+/fEAXEBwum3+YbH6hkuXINld7WaDKSoNUXOSv4gJ/ycsOiwiOCJDF6l3vCQAAoMYxdENRtukCwGswdINXONUhCr7CXlqq/EP7lX9o/2mvtVisCgwNU1DYkW2u/oHhR7a5WkPkVLAc9mCVlQaq9K9trvYy919FFxrF/dwAAADOWhhDN5/HSjfAZRi6wSt4yvZSd+F0OlSUl6uivMp93fyDgv5aRffXaa4BYbJaQyRLiByOI6voSksCVVzkr5JCP1kMHBbByaUAAAAuwEo3FGabLgC8BkM3eAVWulWv0qIilRYV6bD2nvZaq83vr9NcwxUQHCG/gFDZ/MKObHNVsBxlgSotDVRJYYCKC/3ldLjmsAgOUQAAAHABhm5gpRvgMgzd4BW89Z5unshhL1NB9kEVZB88/cUWiwJDQitsc7UdPSxCIbLbg2QvC/rrsIgAlZWcfJtraCTbSwEAAM5aWJzpApjG0A1wGYZu8AqFhw+bTsCZcDpVnJ+n4vy8Sl3uFxBQfliEf1C4/ALCZPULlRSs2gkNqrcVAADAFwSGSwFhUknl/nwGL8TQDXAZhm7wCqXFRaYTUAPKSkqUd3Cf8g7uO+6xDv3a1XwQAACANwqvKx3YZLoCppQWSGXFkh+3bwHOlmtupgQYVlZSYjoBhoVGR5tOAAAA8A7c1w2sdgNcgqEbvAJDN4RF1zadAAAA4B0YuoETTAGXYOgGr1BWUmw6ASZZLAqOiDBdAQAA4B04TAGsdANcgqEbvAIr3XxbQFCwrNaTn2wKAACAKgjkh5k+j6Eb4BIM3eAVGLr5toDgYNMJAAAA3iMwzHQBTGPoBrgEQzd4BYZuvo2hGwAAgAsFhJsugGlF2aYLAK/A0A1egXu6+Tb/IIZuAAAALhMQaroAppUWmi4AvAJDN3gFVrr5tgCGbgAAAK7D9lI4ykwXAF6BoRu8AkM338b2UgAAABcKYOjm8+ylpgsAr8DQDR7PXlYqp9NhOgMGsb0UAADAhRi6wcHQDXAFhm7weKxyA9tLAQAAXIjtpbCzvRRwBYZu8HgM3cD2UgAAABdipRtY6Qa4BEM3eDxOLkVAUJDpBAAAAO/B6aXgnm6ASzB0g8djpRv8g0JMJwAAAHgPhm5gpRvgEgzd4PEYuoHtpQAAAC5ksbLF1NdxTzfAJRi6weOVsr3U57G9FAAAwMVY7ebbWOkGuARDN3g8VrrBn9NLAQAAXIsTTH0b93QDXIKhGzweQzf4s9INAADAtfxZ6ebTGLoBLsHQDR6P00thtdpMJwAAAHgXq5/pApjE9lLAJRi6weOx0g0Wq8V0AgAAgHex8Ocrn8ZKN8AlGLrB4zF0g8XCf8oAAABcij9f+TYHp5cCrsB/SeHxnA676QQYZuEnsQAAAK7F0M23sdINcAn+SwqPZ7VxPy9fx/ZSAAAAF2Po5tu4pxvgEvyXFB7Pwk30fR7bSwEAAFyMP1/5NjvbSwFX4L+k8Hg2P05W8nVsLwUAAHAxfrDt21jpBrgEQzd4PKuVf4wBAAAAl3I6TRfAJO7pBrgE0wp4PCsr3Xyekz8UAgAAuJbTYboAJrHSDXAJhm7weFaWvvs8J38oBAAAcC3+fAUAZ42hGzye1Y+hm69zOljpBgAA4FIM3XybX5DpAsArMHSDx2OlG9heCgAA4GIM3XybLdB0AeAVGLrB41lsDN18ndNhN50AAADgXZz8+cqn+TF0A1yBoRs8no2hm89jpRsAAICL8ecr38b2UsAlGLrB47HSDfYyfhILAADgUo4y0wUwyS/AdAHgFRi6wePZbH6mE2BYWXGR6QQAAADvUpJvugAmsdINcAmGbvB4Vla6+bySokLTCQAAAN6l+LDpAphkY6Ub4AoM3eDxLFb+MfZ1JYUM3QAAAFyqJM90AUxipRvgEkwr4PFsfmwv9XWlrHQDAABwHYddKuXPVz6N00sBl2DoBo9nsbK91NexvRQAAMCFWOUGhm6ASzB0g8ez+TF083VsLwUAAHAhhm5g6Aa4BEM3eDxWuoGVbgAAAC7EyaXgnm6ASzB0g8fjnm4oZaUbAACA6xSz0s3n2VjpBrgCQzd4PE4vBSvdAAAAXIjtpWB7KeASTCvg8aw2tpf6upKiItMJAAAA3oOhG9heCrgEQzd4PJu/v+kEGFZSWGA6AQAAwHuwvRR+AaYLAK/A0A0ezz8gkPu6+bhStpcCAAC4DivdwEo3wCUYusErBIaGmU6AQWwvBQAAcCFOLwX3dANcgqEbvEJQWLjpBBhUwumlAAAArlN82HQBTOP0UsAlGLrBKzB0822lRYWyl5WazgAAAPAORdmmC2AaK90Al2DoBq8QFMb2Ul9XkJ1tOgEAAMA7HN5rugCm+YeYLgC8AkM3eIVgVrr5vLxDB00nAAAAeIfDmaYLYFpIbdMFgFdg6AavwEEKyM9m6AYAAOASeax083kM3QCXYOgGr8D2UuQdOmQ6AQAAwDuw0s23WaxScLTpCsArMHSDV+AgBeSzvRQAAODsFWZLZcWmK2BScLRkZVQAuAL/JsErMHQD20sBAABcgFVuYGsp4DIM3eAVgrmnm8/LO8jQDQAA4KxxPzeE1DFdAHgNhm7wCoHc083nsdINAADABVjphpBapgsAr8HQDV6B7aXI455uAAAAZ+8wK918Xigr3QBXYegGr8DQDQW5OXLY7aYzAAAAPFveHtMFMI17ugEuw9ANXiEoJFQWC/84+zSnU/k52aYrAAAAPNthhm4+j6Eb4DJMKeAVLFarAkNCTGfAsPxDB0wnAAAAeDaGbuAgBcBlGLrBa3CYAvIPHTKdAAAA4NkYuoGVboDLMHSD1wgK5b5uvo7DFAAAAM4S93RDKEM3wFUYusFrBLHSzefl7uO0LQAAgDOWlyWVFpqugGmsdANchqEbvAYnmOLg7l2mEwAAADzXgU2mC+AOuKcb4DIM3eA1GLrhUCZDNwAAgDPG0A1+wVIAB9QBrsLQDV4jmO2lPi97z245HHbTGQAAAJ6JoRtCWeUGuBJDN3iN0GjuPeDr7GVlOrx/n+kMAAAAz8TQDSG1TBcAXoWhG7xGZEys6QS4Ae7rBgAAcIYYuoFDFACXYugGrxHB0A3ivm4AAABnxGGXDm4xXQHTOEQBcCmGbvAaEXUYukE6lLnbdAIAAIDnyc6Q7KWmK2Aa93QDXIqhG7yGf1CQgsMjTGfAMFa6AQAAnAG2lkKSIhNNFwBehaEbvApbTHFw907TCQAAAJ6HoRskKbqh6QLAqzB0g1dhiykO79+n0pJi0xkAAACehaEbJCk6yXQB4FUYusGrsNINkpS9J9N0AgAAgGc5sNl0AdxBFCvdAFdi6AavwtANknRoN/d1AwAAqJIDG00XwLSQ2lJgmOkKwKswdINXYXspJA5TAAAAqJLSAimH++L6PLaWAi7H0A1ehZVukKQDu3aYTgAAAPAc3M8NEltLgWrA0A1ehaEbJClr2xbTCQAAAJ4j80/TBXAHnFwKuBxDN3iVoNAwBYaEms6AYQd37lBpUZHpDAAAAM+wO9V0AdwB20sBl2PoBq8TUSfGdAIMczod2rd9q+kMAAAAz5CZaroA7oDtpYDLMXSD1wlniykk7d3KvUkAAABOy1Em7VljugLugO2lgMsxdIPX4QRTSNLeLQzdAAAATmvfeqmM23L4PItNimxgugLwOgzd4HUiWekGSXsYugEAAJze7j9MF8AdRNSTbH6mKwCvw9ANXocTTCFxmAIAAEClcIgCJLaWAtWEoRu8DttLIXGYAgAAQKVwiAIkhm5ANWHoBq8TERtnOgFugsMUAAAAToFDFHBUVJLpAsArMXSD1wmJiJRfYKDpDLgBDlMAAAA4BQ5RwFGsdAOqBUM3eKWI2jGmE+AGOEwBAADgFDhEAUdFMXQDqgNDN3il6IR6phPgBjhMAQAA4BQ4RAFHRSeZLgC8EkM3eKU6iUmmE+AGOEwBAADgFDhEAZLkFyyFc19soDowdINXqtOA5dE4gsMUAAAAToBDFHAU93MDqg1DN3ilmAZJphPgJnZtSDOdAAAAPMjChQvVv39/JSQkyGKxaMaMGRUeHz58uM4991yFhoYqOjpaPXv21NKlSytc8/DDD6tWrVpq0KCBpk2bVuGx6dOnq3///tX9Nk4v808OUcARMc1MFwBei6EbvFJ0fD3Z/PxMZ8AN7Fi7ynQCAADwIPn5+Wrbtq0mTJhwwsebNm2qCRMmaPXq1Vq8eLGSkpLUu3dv7du3T5L03Xff6ZNPPtHs2bM1evRo3XnnnTpw4IAkKTs7W08++aTeeOONGns/J7VtsekCuIu41qYLAK/F0A1eyWqzqVa9RNMZcAMFOdk6uGuH6QwAAOAh+vXrp5EjR2rgwIEnfPzmm29Wz5491bhxY7Vs2VKvvPKKcnNztWrVkR/0paWlqXv37urYsaNuuukmRUREaMuWLZKkxx57TPfdd58aNGhQY+/npLYtMl0AdxHX0nQB4LUYusFr1WGLKf6SsXa16QQAAOCFSkpK9NZbbykyMlJt27aVJLVt21bLly/XoUOHtGLFChUWFio5OVmLFy/WypUrdf/99xuulmQvlbb/ZroC7oKhG1BtGLrBa9VJ5IagOGLnOoZuAADAdWbOnKmwsDAFBQXp1Vdf1Zw5c1SnTh1JUp8+fXTrrbeqU6dOGjRokKZOnarQ0FDde++9evPNNzVp0iQ1a9ZMF110kdauXWvmDWT+KZXkmXltuJfASA5SAKoRQzd4LQ5TwFE7GLoBAAAX6tGjh1JTU7VkyRL17dtX119/vbKyssofHz58uDZt2qTVq1fr6quv1qhRo9SzZ0/5+/tr5MiRWrx4sQYPHqzbb7/dzBvgfm44Kq6F6QLAqzF0g9dieymOKsjJ1oGdGaYzAACAlwgNDVVycrIuuOACvfvuu/Lz89O77757wmvXr1+vjz/+WM8995zmz5+vrl27KiYmRtdff71Wrlyp3NzcGq6XtG1hzb8m3BNbS4FqxdANXiu8dh0FhoaazoCbYLUbAACoLk6nU8XFxSf8+D333KOxY8cqLCxMdrtdpaWlklT+vw6Ho0ZbZS+VMlJq9jXhvuJamS4AvBpDN3i1OolJphPgJnZwmAIAAKiEvLw8paamKjU1VZK0detWpaamKiMjQ/n5+XriiSeUkpKi7du3a+XKlRo8eLB27typ66677rjnevvttxUbG6srr7xSknTRRRfpl19+UUpKil599VW1aNFCUVFRNfjuJGWmSiX5NfuacF8M3YBq5Wc6AKhOdRokadd6QzeohVthpRsAAKiM5cuXq0ePHuW/f/jhhyVJd9xxhyZPnqz169dr6tSp2r9/v2rXrq1OnTpp0aJFatmy4ja9vXv3atSoUVqyZEn5xzp37qxHHnlEl19+uWJjYzV16tSaeVPH2rqo5l8TbsrCPd2AamZxOp1O0xFAdflzzg/6+Z2JpjPgJu54+Q1OtQUAAL7tw4HS5rmmK+AOajWW7v/DdAXg1dheCq/G9lIcayer3QAAgC+zl0oZv5mugLvgEAWg2jF0g1er04BVTfgfd9hiunDhQvXv318JCQmyWCyaMWNGhceHDx+uc889V6GhoYqOjlbPnj21dOnSCtc8/PDDqlWrlho0aKBp06ZVeGz69Onq379/db8NAADgiXb/IZUWmK6Au+B+bkC1Y+gGrxYYEqrwOjGmM+AmdqxdLWdNnxD2N/n5+Wrbtq0mTJhwwsebNm2qCRMmaPXq1Vq8eLGSkpLUu3dv7du3T5L03Xff6ZNPPtHs2bM1evRo3XnnnTpw4IAkKTs7W08++aTeeOONGns/AADAg2zjfm44BkM3oNoxdIPXi2mQZDoBbqLwcK6ytm8x2tCvXz+NHDlSAwcOPOHjN998s3r27KnGjRurZcuWeuWVV5Sbm6tVq1ZJktLS0tS9e3d17NhRN910kyIiIrRly5H39Nhjj+m+++5TgwYNauz9AAAAD7J5nukCuBO2lwLVjqEbvB43zsextqz43XRCpZWUlOitt95SZGSk2rZtK0lq27atli9frkOHDmnFihUqLCxUcnKyFi9erJUrV+r+++83XA0AANxS4SEpY8npr4NvCAiXopNMVwBej6EbvF4dVrrhGJuWLz39RYbNnDlTYWFhCgoK0quvvqo5c+aoTp06kqQ+ffro1ltvVadOnTRo0CBNnTpVoaGhuvfee/Xmm29q0qRJatasmS666CKtXbvW8DsBAABuY+McyWE3XQF3EddCslhMVwBej6EbvB5DNxwra+tmHT6w33TGKfXo0UOpqalasmSJ+vbtq+uvv15ZWVnljw8fPlybNm3S6tWrdfXVV2vUqFHq2bOn/P39NXLkSC1evFiDBw/W7bffbvBdAAAAt7LhR9MFcCdsLQVqBEM3eL1aCfVltfmZzoAb2bJymemEUwoNDVVycrIuuOACvfvuu/Lz89O77757wmvXr1+vjz/+WM8995zmz5+vrl27KiYmRtdff71Wrlyp3NzcGq4HAABux14ibfrZdAXcCYcoADWCoRu8ns3Pj/u6oYLNHrDF9FhOp1PFxcUn/Pg999yjsWPHKiwsTHa7XaWlpZJU/r8Ow6e1AgAAN7B9iVTMD+JwDIZuQI1g+Q98QkKz5srattl0BtxExppUlRQVKiAouMZfOy8vT5s2bSr//datW5WamqpatWqpdu3aev7553XllVcqPj5eBw4c0MSJE7Vz505dd911xz3X22+/rdjYWF155ZWSpIsuukjDhw9XSkqKfvzxR7Vo0UJRUVE19dYAAIC72vCD6QK4FcuRe7oBqHYM3eAT6jVrrtRZM01nwE3Yy8q0fdUfatL5whp/7eXLl6tHjx7lv3/44YclSXfccYcmT56s9evXa+rUqdq/f79q166tTp06adGiRWrZsuJ9N/bu3atRo0ZpyZL/nULWuXNnPfLII7r88ssVGxurqVOn1sybAgAA7o37ueFYsc2lwHDTFYBPsDidTqfpCKC65e7fp7eH3mk6A26kZfee6nvvg6YzAAAAqtfeNdKki0xXwJ10uFPqP850BeATuKcbfEJEnRiF144xnQE3smXF73I47KYzAAAAqher3PB3DbqYLgB8BkM3+IyEZs1NJ8CNFB7OVebGDaYzAAAAqhf3c8PfNbjAdAHgMxi6wWfUY+iGv/G0U0wBAACq5HCmtGul6Qq4k/AEKbqh6QrAZzB0g89IaMYJPaho8wqGbgAAwIulzzJdAHfT4HzTBYBPYegGnxHTMEn+QcGmM+BGDu7aqUOZu01nAAAAVA/u54a/S2RrKVCTGLrBZ1itNsU3aWY6A25m49JfTScAAAC4XlGOtGWe6Qq4G+7nBtQohm7wKdzXDX+3bvF80wkAAACul/atVFZsugLuJCBMqtvadAXgUxi6wadwXzf83YEd25W1favpDAAAANda9bnpArib+h0lq810BeBTGLrBpyQ0aSaLlX/sUdF6VrsBAABvkrtL2rbQdAXcTYMupgsAn8P0AT4lIDhEdRokmc6Am0lbPF8Oh910BgAAgGus/lJyOk1XwN1wPzegxjF0g8/hvm74u7yDB7Rz3RrTGQAAAK6xerrpArgbq59Ur6PpCsDnMHSDz+G+bjiRNLaYAgAAb7B3rbRntekKuJu4VlJgmOkKwOcwdIPPYaUbTiQ95VeVlnDCFwAA8HCrOUABJ8D93AAjGLrB50TUiVVY7TqmM+BmSgoLtGXlMtMZAAAAZ87pYOiGE2twvukCwCcxdINPSmjKajccL23RPNMJAAAAZ277Eilnp+kKuCNWugFGMHSDT2KLKU5k6x8rVHg413QGAADAmVnFAQo4gegkKbyu6QrAJzF0g0+qx2EKOAGHvUzpKb+azgAAAKi6siJp3QzTFXBHiReYLgB8FkM3+KSYho3kHxhkOgNuiC2mAADAI22cIxXlmK6AO2rA0A0whaEbfJLVZlP95i1NZ8AN7dqwTjlZe0xnAAAAVM2qz0wXwF1xPzfAGIZu8FlJ7TqaToCbWjPvZ9MJAAAAlZe3V0r/yXQF3FFEPSn2XNMVgM9i6Aaf1bg9Qzec2Kq5P8leVmo6AwAAoHJWfijZ+bMLTuCcHqYLAJ/G0A0+K6puvKLjE0xnwA0V5GRr0++/mc4AAAA4PUeZtOJ90xVwV+dcaroA8GkM3eDTktp1MJ0AN5U6+wfTCQAAAKeXPkvK2Wm6Au7IYpUadzddAfg0hm7waY24rxtOYmfaGu3fsd10BgAAwKkte9d0AdxVwnlSSC3TFYBPY+gGn5bYorX8AgJNZ8BN/clqNwAA4M4ObJY2zzVdAXeVzNZSwDSGbvBpfgEBSmzZ2nQG3NTahb+opLDAdAYAAMCJLX/PdAHcGfdzA4xj6Aaf14j7uuEkSosKtW7RfNMZAAAAxystkFI/Nl0BdxUUKdXnVjqAaQzd4PO4rxtO5c/Z35tOAAAAON6ar6TCQ6Yr4K4adZOsNtMVgM9j6AafF1U3XtHxCaYz4Kb279iunWlrTGcAAABUtOwd0wVwZ9zPDXALDN0AsdoNp5bKgQoAAMCd7Foh7f7DdAXcWXIv0wUAxNANkMR93XBqG5f+qvxstm8AAAA3wSo3nEpcaymynukKAGLoBkiS6rdoLb+AQNMZcFMOu12rf5llOgMAAEAqOCit+dJ0BdxZ0z6mCwD8haEbIMkvIECJLVubzoAb+3POj7KXlZrOAAAAvu6PD6WyYtMVcGcM3QC3wdAN+AtbTHEqeQcPKG3xAtMZAADAl5UVSb+9YboC7iykjlSP+1UD7oKhG/CXRu07mU6Am1v27RdyOhymMwAAgK9K/VTK22u6Au6sSS/Jyrf5gLvg30bgL1FxdRUdzw1HcXIHd+3UpuUppjMAAIAvcpRJv75mugLurklv0wUuZ7FYNGPGDNMZZ6x79+568MEHTWfAEIZuwDHYYorTWTrjc9MJAADAF62dIR3aaroC7szqLyVfarqiygYNGiSLxXLcr759+1bL69X0EO+rr77Sc889V2OvB/fC0A04BkM3nM7ezRu1fXWq6QwAAOBrFr9qugDursEFUlCk6Yoz0rdvX2VmZlb49emnnxrrKS113QFqtWrVUnh4uMueD56FoRtwjPot28gvMNB0Btzc76x2AwAANSl9lrR3jekKuDsPPrU0MDBQdevWrfArOjr6hNfu2rVLN9xwg6Kjo1W7dm0NGDBA27Ztq3DNe++9p5YtWyowMFDx8fEaNmyYJCkpKUmSdPXVV8tisZT/fvjw4WrXrp3ee+89NW7cWIGBgXI6ncrIyNCAAQMUFhamiIgIXX/99dq793/3VTz6eR9++KGSkpIUGRmpG2+8UYcPHy6/5u/bS4uLi/XYY48pMTFRgYGBatKkid59911J0qFDh3TLLbcoJiZGwcHBatKkid5///2z/OrCJIZuwDH8/P3VoGUb0xlwcxlr/lTmpnTTGQAAwFcsfsV0ATzBuZebLqh2BQUF6tGjh8LCwrRw4UItXrxYYWFh6tu3r0pKSiRJkyZN0tChQ3XPPfdo9erV+vbbb5WcnCxJWrZsmSTp/fffV2ZmZvnvJWnTpk2aPn26vvzyS6WmpkqSrrrqKh08eFALFizQnDlztHnzZt1www0VmjZv3qwZM2Zo5syZmjlzphYsWKAXX3zxpO/h9ttv17Rp0/T6668rLS1NkydPVlhYmCTpqaee0rp16/Tjjz8qLS1NkyZNUp06dVz29UPN8zMdALibJudfpC0rl53+Qvi032d8rgGPPmk6AwAAeLvtS6QMDnLCaSS0l2o1Nl1xxmbOnFk+eDrq8ccf11NPPVXhY9OmTZPVatU777wji8Ui6cgALSoqSvPnz1fv3r01cuRIPfLII3rggQfKP69Tp06SpJiYGElSVFSU6tatW+G5S0pK9OGHH5ZfM2fOHK1atUpbt25VYmKiJOnDDz9Uy5YttWzZsvLndDgcmjJlSvkW0ttuu01z587V888/f9z7TE9P1/Tp0zVnzhz17NlTktS48f/+vmVkZKh9+/bq2LGjpP+tzIPnYugG/E1ypws05y0/OexlplPgxjYt+00Hdmaodv0GplMAAIA3Y5UbKqPlQNMFZ6VHjx6aNGlShY/VqlXruOtWrFihTZs2HXePtKKiIm3evFlZWVnavXu3Lr206gdKNGzYsHzgJklpaWlKTEwsH7hJUosWLRQVFaW0tLTyoVtSUlKFnvj4eGVlZZ3wNVJTU2Wz2dStW7cTPn7vvffqmmuu0cqVK9W7d29dddVVuvDCC6v8XuA+GLoBfxMUGqaGbdpp6x/LTafAzf3+zRfqN/Rh0xkAAMBb7VklbZxjugJuzyK1vNp0xFkJDQ0t3wJ6Kg6HQx06dNDHH3983GMxMTGyWs/8DlqhoaEVfu90OstX053q4/7+/hUet1gscjgcJ3yN4ODgUzb069dP27dv1/fff6+ff/5Zl156qYYOHaqXX365sm8DboZ7ugEn0PSC/2c6AR5g/a8LlLvvxD/FAgAAOGuLx5kugCdI7CxFJZ7+Oi9w3nnnaePGjYqNjVVycnKFX5GRkQoPD1dSUpLmzp170ufw9/eX3W4/7Wu1aNFCGRkZ2rFjR/nH1q1bp5ycHDVv3vyM+lu3bi2Hw6EFCxac9JqYmBgNGjRIH330kcaNG6e33nrrjF4L7oGhG3ACyZ0ukM2PhaA4NYfdruUzvzKdAQAAvNHBLdLar01XwBN4+NZS6ciJnnv27Knwa//+/cddd8stt6hOnToaMGCAFi1apK1bt2rBggV64IEHtHPnTklHThQdO3asXn/9dW3cuFErV67U+PHjy5/j6FBuz549OnTo0EmbevbsqTZt2uiWW27RypUr9fvvv+v2229Xt27dyu+5VlVJSUm64447dNddd2nGjBnaunWr5s+fr+nTp0uSnn76aX3zzTfatGmT1q5dq5kzZ57xgA/ugaEbcAJHtpi2N50BD7B67mzlZ5/8/6wBAADOyK+vSc4Tb1EDylmsUsurTFectZ9++knx8fEVfv2//3f87qOQkBAtXLhQDRo00MCBA9W8eXPdddddKiwsVEREhCTpjjvu0Lhx4zRx4kS1bNlSV1xxhTZu3Fj+HGPHjtWcOXOUmJio9u1P/j2fxWLRjBkzFB0dra5du6pnz55q3LixPvvss7N6r5MmTdK1116r++67T+eee67uvvtu5efnS5ICAgL0n//8R23atFHXrl1ls9k0bdq0s3o9mGVxOp1O0xGAO1q7YK5+mviq6Qx4gPb9rtQlg+4xnQEAALzFgc3SG50kx+m3wMHHJV0sDZppugLASbDSDTgJtpiisv6c/YNysvaYzgAAAN5i3vMM3FA5Hn6AAuDtGLoBJxEYEsoWU1SKw16mJZ9/YjoDAAB4g8w/pTVfmq6AJ7D6SS0GmK4AcAoM3YBT4BRTVNa6RfO0b/tW0xkAAMDT/fys6QJ4ikZdpdA6pisAnAJDN+AUkjt1kZ9/gOkMeAKnU4unfWC6AgAAeLKtC6XNc01XwFN4wamlgLdj6AacQmBIiBq1P7PjoOF7tqxcpp1pa01nAAAAT/XzM6YL4ClsAVLzK0xXADgNhm7AaTT/f91NJ8CDLPp0iukEAADgidZ9K+1aaboCnuKcS6TgaNMVAE6DoRtwGo3O66TAkFDTGfAQuzekafPypaYzAACAJ3GUSb+MMF0BT8LWUsAjMHQDTsPP319Nzr/QdAY8yKJpH8jhsJvOAAAAniL1E2n/RtMV8BR+QdK5l5muAFAJDN2ASmCLKariwI7tSls033QGAADwBKWF0vwXTFfAkyT3lALDTVcAqASGbkAlJLZorbDoWqYz4EF+nf6RykpLTWcAAAB39/vbUu5u0xXwJK2uMV0AoJIYugGVYLFa1ezCrqYz4EEO79+nP+f8YDoDAAC4s6JsafErpivgSfxDpaZ9TVcAqCSGbm5g+PDhateunVs9n6ubvAFbTFFVS7/6TMUF+aYzAACAu1o8Tio8ZLoCnqRpHykgxHQFgEqq8aHboEGDdNVVVx338fnz58tisSg7O7umkzzKiYZhixYtUlRUlP71r3/J6XTq0Ucf1dy5c8sfP9nXHFUT1zhZ0Qn1TWfAgxQeztWSzz82nQEAANzRgc3Sb2+YroCnaXO96QIAVcBKNw/3/fffq0+fPnrggQc0fvx4WSwWhYWFqXbt2qbTvFLz/9fNdAI8zB8/zdS+jG2mMwAAgLv58THJXmK6Ap4kPEFq0tt0BYAqcNuh25dffqmWLVsqMDBQSUlJGjt2bIXHk5KSNHLkSN1+++0KCwtTw4YN9c0332jfvn0aMGCAwsLC1Lp1ay1fvrzC5y1ZskRdu3ZVcHCwEhMTdf/99ys/v3Lbvz766CN17NhR4eHhqlu3rm6++WZlZWWVP350td7cuXPVsWNHhYSE6MILL9SGDRsqPM+LL76ouLg4hYeH6x//+IeKiorO6Gv0ySefaODAgXrxxRf17LPPln/82NVww4cP19SpU/XNN9/IYrHIYrFo/vz5kqSdO3fqxhtvVK1atRQaGqqOHTtq6dKlFV7jww8/VFJSkiIjI3XjjTfq8OHD5Y85nU6NGTNGjRs3VnBwsNq2basvvviiyl8PT9Ky26WyWNz2Xxu4IafDobnvTTKdAQAA3Mn6mdKmn01XwNO0v0Wy2kxXAKgCt5werFixQtdff71uvPFGrV69WsOHD9dTTz2lKVOmVLju1Vdf1UUXXaQ//vhDl19+uW677TbdfvvtuvXWW7Vy5UolJyfr9ttvl9PplCStXr1affr00cCBA7Vq1Sp99tlnWrx4sYYNG1aprpKSEj333HP6888/NWPGDG3dulWDBg067ronn3xSY8eO1fLly+Xn56e77rqr/LHp06frmWee0fPPP6/ly5crPj5eEydOrPLX6I033tCdd96pd999V/fff/9Jr3v00Ud1/fXXq2/fvsrMzFRmZqYuvPBC5eXlqVu3btq9e7e+/fZb/fnnn3rsscfkcDjKP3fz5s2aMWOGZs6cqZkzZ2rBggV68cUXyx//73//q/fff1+TJk3S2rVr9dBDD+nWW2/VggULKv318DQRdWLVqH0H0xnwMLvS1ipt8XzTGQAAwB2UFkg//cd0BTyNxSqdd7vpCgBVZHEenUjVkEGDBumjjz5SUFBQhY/b7XYVFRXp0KFDGjp0qPbt26fZs2eXP/7YY4/p+++/19q1ayUdWel28cUX68MPP5Qk7dmzR/Hx8Xrqqac0YsQISVJKSoq6dOmizMxM1a1bV7fffruCg4P15ptvlj/v4sWL1a1bN+Xn5x/XdDrLli1T586ddfjwYYWFhWn+/Pnq0aOHfv75Z1166aWSpB9++EGXX365CgsLFRQUpAsvvFBt27bVpEn/W/lywQUXqKioSKmpqad9zeHDh+uFF15QSUmJ3n333RMOsIYPH64ZM2aUP9+gQYOUnZ2tGTNmlF/z1ltv6dFHH9W2bdtUq1atEz7HSy+9pD179ig8PFzSkb8HCxcuVEpKivLz81WnTh398ssv6tKlS/nnDR48WAUFBfrkk08q9fXwRJtXLNWMMc+ZzoCHCY2K1p2vvqnAEG58CwCAT5v3vLRgjOkKeJrkntKtX5quAFBFRla69ejRQ6mpqRV+vfPOO+WPp6Wl6aKLLqrwORdddJE2btwou91e/rE2bdqU/3VcXJwkqXXr1sd97OgW0BUrVmjKlCkKCwsr/9WnTx85HA5t3br1tN1//PGHBgwYoIYNGyo8PFzdu3eXJGVkZFS47tiu+Pj4Cg1paWkVhlSSjvv96dSvX1/nnXeexowZo8zMzCp97lGpqalq3779CQduRyUlJZUP3KQj7+Xo+1i3bp2KiorUq1evCl/PDz74QJs3b67wPKf6eniiRu07Krx2jOkMeJj87EP67ctPTWcAAACTDm6Vfn3NdAU8UYdBpgsAnAE/Ey8aGhqq5OTkCh/buXNn+V87nU5ZLJYKj59oQZ6/v3/5Xx+9/kQfO7pl0uFw6J///OcJt2M2aNDglM35+fnq3bu3evfurY8++kgxMTHKyMhQnz59VFJS8Qaop2pwhfDwcP3888/q3bu3unfvrnnz5ikhIaFKzxEcHHzaa459H9KR93Ls11I6cpBDvXr1KlwXGBh40uepjq9HTbNabWp9SW9OpUSVrfzhG7Xq3lN1EhuaTgEAACb8+JhUVmy6Ap4mLE5q2s90BYAz4Jb3dGvRooUWL15c4WNLlixR06ZNZbOd+Y0jzzvvPK1du1bJycnH/QoICDjl565fv1779+/Xiy++qIsvvljnnnvuGa3Wat68uVJSUip87O+/r4zo6Gj9/PPPio6OVvfu3bVr166TXhsQEFBhhaB0ZPVZamqqDh48WOXXlo78PQoMDFRGRsZxX8vExMQzek5P0vqS3rKexT+L8E1HDlWYbDoDAACYsOEHaePs018H/F27WySbkfUyAM6SWw7dHnnkEc2dO1fPPfec0tPTNXXqVE2YMEGPPvroWT3v448/rt9++01Dhw5VamqqNm7cqG+//Vb/+te/Tvu5DRo0UEBAgMaPH68tW7bo22+/1XPPVf2+Xg888IDee+89vffee0pPT9czzzxTfp+6qoqMjNTs2bNVgOR2PwAAicBJREFUp04dde/evcJqwWMlJSVp1apV2rBhg/bv36/S0lLddNNNqlu3rq666ir9+uuv2rJli7788kv99ttvlXrt8PBwPfroo3rooYc0depUbd68WX/88YfeeOMNTZ069YzejycJq1Vbjc/rZDoDHmjnutVa/+uC018IAAC8R2mh9OO/TVfAI1mkDneYjgBwhtxy6Hbeeedp+vTpmjZtmlq1aqWnn35aI0aMOOFJoVXRpk0bLViwQBs3btTFF1+s9u3b66mnniq/z9ipxMTEaMqUKfr888/VokULvfjii3r55Zer3HDDDTfo6aef1uOPP64OHTpo+/btuvfee8/k7UiSIiIiNGvWLMXFxal79+7asWPHcdfcfffdatasmTp27KiYmBj9+uuvCggI0OzZsxUbG6vLLrtMrVu31osvvlillYTPPfecnn76ab3wwgtq3ry5+vTpo++++06NGjU64/fjSdr0ZIk3zsyCD99TSWGB6QwAAFBTfh0nZW83XQFP1Li7FJ1kugLAGarx00sBb+F0OPTuA3crJ2uv6RR4oI79B6rbrcefPgwAALzMoW3SG525lxvOzHVTpZZXma4AcIbccqUb4AksVqtaX9LHdAY81MofvtGBnRmnvxAAAHi2n/7NwA1nJjRGOvdy0xUAzgJDt78sWrRIYWFhJ/1VU07VsGjRohrrQOW06tFLVm5qijPgsNv18zsT5fTgk3wBAMBprJ8pbfjRdAU8VbubJZu/6QoAZ4FpwV86duyo1NRU0xmnbKhXr17NhaBSQqOildzpAqWnLD79xcDf7Exbo9TZ36t93/6mUwAAgKsVHJRmPmS6Ah7LIp3HAQqAp2Po9pfg4GAlJyebznCLBlRNm559GbrhjC38ZIoateuoqLqnP9AFAAB4kB//T8rLMl0BT9XoYqn2OaYrAJwltpcCZ6lBq7aKjk8wnQEPVVZcrFmTX2ObKQAA3iTtO2n1F6Yr4Mk6DDJdAMAFGLoBZ8lisaj1pX1NZ8CDHd1mCgCAp1u4cKH69++vhIQEWSwWzZgxo8LjL7/8suLi4hQXF6dXX321wmNLly5Vhw4dZLfba7C4GhQclL5/2HQFPFlIbelcbj8CeAOGboALtOx2qWz+3OQUZ27hJ1OUvSfTdAYAAGclPz9fbdu21YQJE457bPXq1Xr66af16aef6pNPPtETTzyhNWvWSJJKS0s1ZMgQTZ48WTabraazXYttpThbbW+S/AJMVwBwAYZugAuERESqSecLTWfAg7HNFADgDfr166eRI0dq4MCBxz2WlpamNm3a6JJLLtGll16qNm3aKC0tTZL00ksvqWvXrurUqVNNJ7sW20rhCh3uNF0AwEUYugEu0rZnP9MJ8HA709boj1kzTWcAAFAtWrdurfT0dGVkZGj79u1KT09Xq1attGnTJk2ZMkUjR440nXh2Cg5wWinOXsP/J9XhcD3AWzB0A1ykfotWqlUv0XQGPNyiT6bq0J7dpjMAAHC55s2ba9SoUerVq5d69+6tF154Qc2bN9eQIUM0ZswYzZo1S61atVL79u21cOFC07lV9+NjUv4+0xXwdJ0Hmy4A4EJ+pgMAb9K2Z1/Nm/q26Qx4sLKSYs2e/Lquf3qULFZ+LgIA8C5DhgzRkCFDyn8/ZcoUhYeHq0uXLmrWrJmWLVumnTt36sYbb9TWrVsVGBhosLYK2FYKV4hOkppfaboCgAvxHR3gQi26Xiq/AA/5wyHcFttMAQC+YP/+/RoxYoTGjx+vpUuXqmnTpmrSpIl69Oih0tJSpaenm06sHLaVwlW6DJOsHn6QCIAKGLoBLhQUFqaW3XuazoAXYJspAMDbPfjgg3rooYdUv3592e12lZaWlj9WVlYmu91usK4Kfvg/tpXi7AXXktrdYroCgIsxdANcrFP/q9kWiLNWVlKsWRPHyeEp33AAACApLy9PqampSk1NlSRt3bpVqampysjIqHDdnDlztHHjRg0dOlSS1LlzZ61fv14//vij3nrrLdlsNjVr1qym86tu3TfSmi9NV8AbdBosBYSYrgDgYhan0+k0HQF4m+9ff0nrf11gOgNe4IJrbtRF199qOgMAgEqZP3++evTocdzH77jjDk2ZMkWSVFhYqHbt2umzzz5Tu3btyq9555139N///leBgYGaOHGiLr/88hqqPkOHtktvXiwV5ZgugafzC5IeXCOFxZguAeBiDN2AapC1bYs+fPx+0xnwBhaLrvvvSDVo1dZ0CQAAOMpeIr3XV9q1wnQJvEGHO6X+40xXAKgG7IEDqkFsUmMltetgOgPewOnUD+NfVn72IdMlAADgqLnPMXCDa1is0oX/Ml0BoJowdAOqSecrrzGdAC+Rn31IP058VU6Hw3QKAADYOFta8rrpCniLZpdJtc8xXQGgmjB0A6pJYss2qpvc1HQGvMT2P1dq2bfcqBkAAKNyd0tf/9N0BbzJRQ+YLgBQjRi6AdWo85XXmk6AF1n82YfavSHNdAYAAL7JYZe+ulsqOGi6BN4i8QIpsbPpCgDViKEbUI2SO12g6IT6pjPgJZwOh2a+PkaFeYdNpwAA4HsWjpG2LTZdAW9yEQevAd6OoRtQjSxWqzr1H2g6A17k8P59mj2Z+8gAAFCjti6UFow2XQFvUjv5yP3cAHg1hm5ANWvRtYfComuZzoAX2bTsN/3x03emMwAA8A35+45sK3U6TZfAm3QZJlkspisAVDOGbkA1s/n567zLrzKdAS+z4MN3tXfrJtMZAAB4N6fjyMEJh/eYLoE3CY2R2t5kugJADWDoBtSAtj37KjA01HQGvIi9rEwzx41RcUGB6RQAALzXkvHSprmmK+BtOv9T8g8yXQGgBjB0A2pAQHCI2vbing1wrew9uzX7Te7vBgBAtdi+RJr7rOkKeBv/UKnTP0xXAKghDN2AGnJevyvl5x9gOgNeJj1lsVK++sx0BgAA3iU7Q/rsVslhN10Cb9P+VimE+z0DvoKhG1BDQqOi1bL7paYz4IV+/exDbVqWYjoDAADvUJInfXqTVHDAdAm8jcUmdbnPdAWAGsTQDahBHa8YKIuVf+3gej9MGKv9O7abzgAAwKM5nQ45ZwyT9q4xnQJv1PIqKTrJdAWAGsR3/0ANiqobrybnX2Q6A16otKhQM8aMUOHhXNMpAAB4rNfnbtILWefLEcz2P7iYxSZ1+7fpCgA1jKEbUMM6D7jWdAK8VE7WXn336ouyl5WZTgHw/9u787Coyv4N4PeZFYZh33cEBEFFUVxAxV3TTH3bzCyzzSxNrbTNdivN5c2WN7PeEitNW9RSs11cc9fcEBAXUEFE2Xdmzu+Pfs4buYEMPLPcn+uaK5hz5jn3OdIs33kWIguzcOFCxMXFwcXFBS4uLkhMTMT69etN2+fNmwdfX1/4+vri7bffrvfYHTt2oHPnzjAYbHt+s/WHcvH2r5n46HQI7jTOQpVnrOhIZEviRgHeUaJTEFELk2RZlkWHILI337zxIk4d2Cc6BtmojoOHof8DE0THICIiC7JmzRoolUpERkYCAJYsWYK5c+di3759MBqN6NatG9auXQtZljFs2DDs2rUL7dq1Q21tLbp27YqPPvoIXbp0EXwWzScttwS3frANlbX/Kyy6q+uwNuRLBJ5Zf41HEjWAQg08vptDS4nsEHu6EQmQeNto0RHIhu3/aS0O/Pqj6BhERGRBbrnlFgwdOhRRUVGIiorCG2+8Ab1ej+3btyMtLQ1xcXHo168f+vfvj7i4OKSlpQEA5s6di+TkZJsuuF0oq8bDn+2uV3ADgMJaFXpk3YvfgydClvixiZqg070suBHZKZXoAET2KLBNLMI7dcHxvbtERyEb9dunC+ERGISgmHaioxARkYUxGAz4+uuvUV5ejsTEREiShIyMDGRnZ0OWZWRkZKBdu3Y4duwYUlJSsGfPHtGRm01NnRGPLd2L04WVV93ngcwemBgciKdK50BRVdRy4cg2qByA5OmiUxCRIPzKhkiQnqPvg8RvTamZGA0GfD//TZSczxcdhYiILMTBgweh1+uh1WoxYcIErFq1CrGxsYiJicGbb76JgQMHYtCgQZg1axZiYmIwYcIEzJkzBz/99BPatWuH+Ph4bNq0SfRpmNUr3x/GjhMXr7vff3LCMEaahWqP6BZIRTYl4UHAJUB0CiIShHO6EQn0w3vzkLYlVXQMsmHeoa1w12tzoHFwFB2FiIgEq6mpQXZ2NoqKivDtt9/iv//9LzZu3IjY2MsXDEhJScF3332HDz/8ENHR0di1axdOnz6NMWPG4MSJE9BqtQLOwLw+/+MUXvzuUKMe462pxZrgpfA783MzpSKbotEDU/4EnLxEJyEiQVh0IxKoOD8Pn06dAKOBq01S82ndNQm3PPEsJAV7VhIR0f8MGDAAERERWLRoUb37CwoK0LVrV2zatAl79+7F66+/jp07dwIAvL298fvvv6N9+/YiIpvNtqwC3PvJThiMjf8oJEkyPovcjJ6nP4IkG5shHdmMXtOA/i+KTkFEAvETGJFArj5+iBswWHQMsnGZO7ch9fP/io5BREQWRpZlVFdXX3b/1KlT8cQTTyAoKAgGgwG1tbWmbXV1dTAYDJc9xpqk5Zbgkc/23FDBDQBkWcK9mcl4x/s1yFoXM6cjm+HgCiQ9LjoFEQnGhRSIBOt+6104nPobaqurREchG7b3h+/h5OaBriNuFx2FiIgEeP755zFkyBAEBwejtLQUy5cvR2pqKn78sf5q17/88gsyMzPx2WefAQC6du2Ko0ePYv369cjJyYFSqUR0tPXOa5ZzsQJjP92J0uqmjzJYkB2OvR6z8V+3f0NTdMwM6cimJD0OOLqJTkFEgrHoRiSYk5s7Og0dgR2rVoiOQjZu87IU6Fxd0a7PQNFRiIiohZ07dw733nsvcnNz4erqiri4OPz4448YOPB/rwmVlZWYNGkSVqxYAcX/T0kQGBiI9957D/fffz+0Wi2WLFkCR0frnCf0Qlk1xn66E+dLL+/dd6M2XXRDsvYFfB/4OXzO/ma2dsnK6byAbo+KTkFEFoBzuhFZgOqKcvx38sOoKi0RHYVsnKRQYMS0FxDRuavoKERERC2mvLoOd3+8HX+eLm6W9iVJxrLIVHTP+S8k8OOV3Rv0BpA0SXQKIrIAnNONyAJodU4c9kctQjYasXbBWzibcVR0FCIiohZRU2fEo1/sabaCG/DXPG+jM/viP76vQtbom+04ZAWcA4AuD4lOQUQWgkU3IgsRP3gY9J5cTpyaX11NNVbNfgUXTmeLjkJERNSsjEYZT39zAJsyC1rkePNOReJB9VuodQ1vkeORBUp+ClA7iE5BRBaCRTciC6HSaJB422jRMchOVJWX4ds3X0JpwXnRUYiIiJrNm+vTsHr/mRY95u8X3JFc/BIu+Pdu0eOSBXALBTrdJzoFEVkQFt2ILEi7vgPgHhAkOgbZidILBfh21suoLCsVHYWIiMjsPtp0HP/dfELIsXOrNOh68mHsDnlAyPFJkD7PAkq16BREZEFYdCOyIAqFEj1H3SM6BtmRC6ezcWz1JhhrDKKjEBERmc23e0/jzR/ShGYwyArcnjEAH/u9DFntJDQLtQCvKCBulOgURGRhWHQjsjBR3XvCN7y16BhkJ/p0uxfuh11w8cujkA1cbY2IiKzf7vwSPL/yoOgYJm+cjMajDrNR6xIqOgo1pz7PAQql6BREZGFYdCOyQL1Gcy4Ian6Dk8bDNz8AkIGqtIsoXJUpOpIQYWFhkCTpstvEiRMBAPPmzYOvry98fX3x9ttv13vsjh070LlzZxgM7ClIRGQJ9hSX4860k4joEQCtynI+6vx43hN9S17BRb+eoqNQc/CLA9r+S3QKIrJAkizL7NpAZIG+njkD2Yf+FB2DbJEkYVjS43A663jZJqdEf7iPiBQQSpzz58/XK5odOnQIAwcOxIYNG+Dp6Ylu3bph7dq1kGUZw4YNw65du9CuXTvU1taia9eu+Oijj9ClSxeBZ0BERADwZ2kF7tifhZK6v57T46oVOL3tLCosaAoFtULG1xE/oWPOZ6KjkDnd/yMQmig6BRFZIMv5+oeI6ul19zjREcgGKRRKjOzx5BULbgBQ/kcuitZktXAqsby9veHn52e6rV27FhEREejduzfS0tIQFxeHfv36oX///oiLi0Na2l9zBM2dOxfJycksuBERWYCDpRUY9beCGwAc0Brh0zMAro6WM7F9rVHCyMybsNj/Rchqneg4ZA7tbmPBjYiuikU3IgvlF9EarbsliY5BNkSl0uDWxGnQnlFdc7+yrWdRtO54C6WyLDU1Nfjiiy/wwAMPQJIktG/fHhkZGcjOzsapU6eQkZGBdu3a4dixY0hJScHrr78uOjIRkd07UlaJO/dnoaju8h5tR9VG6JN84anXCEh2da+eiMHjDrNR58xV662aWgcMnCk6BRFZMBbdiCxYz7vGQqHkhKzUdA4OetzaZRqUZxu2f9nmMyhef6J5Q1mg1atXo6ioCOPGjQMAxMTE4M0338TAgQMxaNAgzJo1CzExMZgwYQLmzJmDn376Ce3atUN8fDw2bdokNjwRkR06WlaJO/YfQ+EVCm6XZKlkKLr7wM/VoQWTXd/a814YVP4aivzYS8pq9XwScA0UnYKILBjndCOycBtSPsLe9d+LjkFWzFnviaGxE4DzdY1/bL9guA4KM38oCzV48GBoNBqsWbPmqvukpKTgu+++w4cffojo6Gjs2rULp0+fxpgxY3DixAlotdoWTExEZL8yyqtw675jKKht2Oubn1GC896LyLlQ0czJGkerMOLbiB/QLmeZ6CjUGG6hwMSdgNqyirlEZFnY043IwiXdOQZObu6iY5CV8vAIxM3Rj95QwQ0ASn/PQfHPJ80bykKdOnUKv/76Kx566KGr7lNQUIDXXnsN7733Hnbs2IGoqCi0bt0affv2RW1tLTIyMlowMRGR/coor8Jt+xtecAOAPIWMC508EO6rb8ZkjVdtVGBY5jAsDXgesooFHKsx6HUW3Ijoulh0I7JwWp0TksfcLzoGWSE/3wgMCrkf8sXaJrVT+nsOin+0/aGmixcvho+PD26++ear7jN16lQ88cQTCAoKgsFgQG3t/65tXV1dvVVQiYioeRwtq8St+47hfE3jv1C6qJCR08EV0UEuzZCsaWYcb4cnnGajzpnDFS1eq2QgdrjoFERkBVh0I7ICscn9ENimregYZEVCgtqhj89dkIubVnC7pDT1NIp+sN3FFYxGIxYvXoz77rsPKtWVF5r45ZdfkJmZiYkTJwIAunbtiqNHj2L9+vX46KOPoFQqER0d3ZKxiYjszuGyykb3cPunUglIj3VGuzA38wUzk9XnfDCk4jWU+HYVHYWuRlICN70lOgURWQkW3YisRP8HH+WiCtQgURHdkeQyHHLZjX8guZKyTWdQtDbLrG1ail9//RXZ2dl44IEHrri9srISkyZNwqJFi6BQ/PXSGRgYiPfeew/3338/3njjDSxZsgSOjo4tGZuILNysWbPQpUsXODs7w8fHByNHjkR6enq9febNmwdfX1/4+vri7bffrrdtx44d6Ny5M3vR/r8DpRW4fd8xXKht+vWokoADUU7o2NrTDMnMK7PcEd1OP46jwaNER6Er6fIg4BsrOgURWQkupEBkRbioAl1Pu5i+aGfsDrnG2GzHcEoKgPvwiGZrn4jIVtx0002466670KVLF9TV1WHGjBk4ePAgjhw5AicnJxw8eBDdunXD2rVrIcsyhg0bhl27dqFdu3aora1F165d8dFHH6FLly6iT0W4P0sqcOefWSi+xiqlN0IJGd2za7En7bxZ2zWXeeF/4rZzCyAZqkVHIQDQeQKP7wEcOd8yETXMlcfQEJFFSrrzHqT/sRnlRYWio5AFSogbhojKdpDrmq/gBgDl284CtUa4jYyEpJSa9VhERNbsxx9/rPf7pbkj9+zZg+TkZKSlpSEuLg79+vUDAMTFxSEtLQ3t2rXD3LlzkZyczIIbgO1FZRh78ARKzFxwAwADJGwLVqOnyge7Duabvf2mmna8A3b4zcLs2jlQlueJjkN9Z7DgRkSNwuGlRFZEq9Mh+Z4rD38j+9aj8yhElLcF6lqm83L5rjxcWJYG2QxDfIiI7EVxcTEAwMPDAwDQvn17ZGRkIDs7G6dOnUJGRgbatWuHY8eOISUlBa+//rrIuBbhx/PFuOvPrGYpuF0iSxI2B6jRtZNfsx2jKb7O88PN1a+jzKez6Cj2zbc90JmLmxFR43B4KZEVWv7yMzhz9LDoGGQh+nUfB+98X0DAs7mmlQu8xraFwpEdp4mIrkWWZYwYMQKFhYXYvHmz6f4PP/zQNJfbE088gQkTJmDAgAGYNGkS6urq8Morr0CtVuOdd95BcnKyqPhCfHH2Ap5Oz0Hz9t+ur1ehjF07z7bgERvOSWnE6vDVaJ3zjego9mncD0BYD9EpiMjKsOhGZIXOZ5/EF89OgZETK9u9m3o8CtezLkIzqHx18H6gHZSuWqE5iIgs2cSJE7Fu3Tps2bIFQUFBV90vJSUF3333HT788ENER0dj165dOH36NMaMGYMTJ05Aq7WP59p/n8zDnBNihlP2KAH2bT8Do4V+Sno7Yi9G5r4DyWieFcqpAdr+C7gjRXQKIrJCHF5KZIW8Q8LQcfAw0TFIJEnCLT2nCi+4AUDduQrkL/wTtfkVoqMQEVmkxx9/HN9//z02bNhwzYJbQUEBXnvtNbz33nvYsWMHoqKi0Lp1a/Tt2xe1tbXIyMhowdRiGGQZz2ecFlZwA4CtLkD7HkFQKSxz3tInsjrhBddZMDj5iI5iH9Q6YBCHehPRjWHRjchKJd0xBk5unMjVHimVKvyrxzTozlhObwdDUTXOf/gnarJLREchIrIYsixj0qRJWLlyJX7//Xe0atXqmvtPnToVTzzxBIKCgmAwGFBb+7+eTHV1dTDYeA/3aqMREw6fxKdnCkRHwQ4nGVG9AqFVWebHpaW5ARhZ8wbKvTuKjmL7ekwFXK9eLCciuhbLfBUhouviogr2SaN2xL+6TYPmjOU9fRsr6nD+44OoSr8oOgoRkUWYOHEivvjiCyxbtgzOzs7Iy8tDXl4eKisrL9v3l19+QWZmJiZOnAgA6Nq1K44ePYr169fjo48+glKpRHR0dEufQospqTPg7j+PY835YtFRTPY6yAjtGQidRik6yhUdLHVC19yncCJopOgotss1BOgxWXQKIrJinNONyMqteOVZnE47JDoGtQCdzgXD4iZBOmfhPR0UEtxvbw2nTr6ikxARCSVJVx6euHjxYowbN870e2VlJTp27IgVK1agY8eOpvv/+9//4oUXXoBWq8UHH3yAm2++uZkTi5FfXYu7DxzHobLLi5GWoE2tAoV/5KG40nLnUPtP5C4MPfseJGOd6Ci25Y4lQNuRolMQkRVj0Y3IynFRBfvg6uKDm6IfBgqs582069BWcE7mcAwiIrq6ExXVGPVnFrKrakRHuaaIOglVO/Jxocxyc44LOI2XKudAUSl+eK5NaD0YGPOV6BREZOUsb3wSETUKF1WwfV5eIRgSOd6qCm4AUPzDCRStOw7ZUpd/IyIiof4srcAtezMtvuAGAFkqGYruPvBzdRAd5apSzgbhduObqPRqJzqK9dO6AMPeFp2CiGwAi25ENiDpjjFwcvcQHYOaQYB/FAYE3gu50HKHtFxL2eYzuLg8HcYa9sQkIqL/+aWgGLfuO4aCWuv5QilHKaOqqxeCPXWio1zV3mI9up97GtlBt4iOYt0Gvgq4BopOQUQ2gEU3Ihug1enQe8z9omOQmbUK7Yhkzzsgl1jPB5IrqTxwHucXHUBdUbXoKEREZAHeO3UOYw+eQLnBKDpKo+UpZFzo5IFwX73oKFdVXKtC8rHR+DloMmTJMheBsGhhvYDOfF9NRObBohuRjYjp1RdBMRxOYCvatO6BbrqhkMutu+B2Se2ZMuS/vw/Vp0pERyEiIkEqDUY8evgk3jieC2ueeOCiQkZOB1dEB7mIjnJN4491xyzPN2B05GiIBlPrgOHvAldZBIWIqLFYdCOyIQMengiVWiM6BjVRh7YD0UFKhlxlW0MyjWW1OP/RAZTvzhMdhYiIWtjZqhqM3JeJVflFoqOYRakEpMc6o12Ym+go1/TR6RDcaZyFKs9Y0VGsQ98ZgEe46BREZENYdCOyIZ6BwUgadY/oGNQEXTuORJvqzkCt9Q25aRCDjMJvMlG09jhkgzX3cyAioobaXVyOwXsy8GdppegoZlUlAQeinNCxtafoKNe0u9gZifnP4kzgENFRLFtgAtD9MdEpiMjGsOhGZGMSbh6JgGh+m2mNenUZjVYl0YAdFKPKtpxBQcohGCutc4EIIiJqmBW5F3HrvmM4X2Mb0yX8U40E7ArXonOMt+go11RYq0KPrHuxIfgxyBI/Al5GqQFGvA8oeG2IyLz4rEJkYySFAjc9OgUqrVZ0FGqEAYkPIqAgBFY9yU0jVWcWIf/9/ajNrxAdhYiIzKzOKOPlY2cw5Wg2amTbfnEzQMK2YDW6tPcRHeW67s/siXler8Po4CY6imXpNQ3wiRGdgohskCTLNv4qSGSn9q7/HhtSPhIdgxpgaI+JcD5ruaugNTdJq4TH6DZwbMOJnomIbEFRbR0mHDmF1IuloqO0uOTzBuzca/lzlya6FyPFcQG0F9NFRxHPtx0wPhVQqkUnISIbxJ5uRDYq/qZbEBTL1UwtmSQpMKLnk3ZdcAMAudqAC0sOo3RjjugoRETURJnlVRi6J9MuC24AsMlbiS5dA0THuK4/Cl3Rs+B55AUOEh1FLEkJDH+PBTciajYsuhHZKEmScNOjU6F2cBQdha5AqdTgX0nT4HCGb/IAADJQvP4kLi4/CmONba3aSkRkL34pKMbQPRk4XlktOopQm90ldE4MhEISneTazteokXj8PmwOnmC/87wlTgQCO4lOQUQ2jMNLiWzc/p9/wG+ffCA6Bv2NRqPDiIQpUOTa6AqlTaTy0cHz7jZQ+zmJjkJERA1QYzRi1vFcLMw5LzqKRelWLuHwtjOoM1r+x62pIccxpXgOpOoS0VFajkcE8OhWQM0vqImo+bDoRmTjZFnGN2+8iOyD+0VHIQBOTu4Y1u4xIN82V3EzG5UCbsPDoe/qLzoJERFdQ3ZlNR45cgr7SrgozpV0qpKQtfUsquss/4u2ZI8i/Ffzb2iKjomO0gIk4P4fgNAk0UGIyMax6EZkB0oK8rFk2iTUVPINsUhubn64KfIhyBdqRUexGo4dvOH+r0goHFSioxAR0T+szS/Ck+k5KKnjtADXEletwOltZ1FhBdMn+Glr8H3g5/A5+5voKM2ry0PAzfNFpyAiO8CiG5GdOPj7z/h50buiY9gtb+8w9A+6B3IRC26NpfR0gOfoNtAEOYuOQkREAKoMRrxy7AxSzl4QHcVqtKlVoPCPPBRXWv77AEmS8WVkKrrl/BcSbPCjomsw8NgfgJbvK4io+dnpjJlE9qd9v0Fo1bGz6Bh2KSgwFv39x7DgdoMMF6qQv/BPlG49IzoKEZHd+2t10gwW3BrpqNoIfZIvPPUa0VGuS5Yl3JXZF//xfRWyxgZXWB+2gAU3Imox7OlGZEdKLxZgybSJqC4vFx3FboS36oyuusGQKyx/SIk1cIj1gMftUVDouOorEVFL+zrvIp7JOI0Kg+XPT2apgg0SlLsKkFdcJTpKg/TzLMQi1Xyoi4+LjmIeHUYD//pQdAoisiMsuhHZmcMbf8OPH7wtOoZdiI1ORpzUA3I1P5yYk9JVC4/R0dCGuYqOQkRkF8rrDHgu8zS+yisUHcUm+BklOO+9iJwL1jHXrr9DDdb6L4Zn7kbRUZrGLRSYsAVwcBGdhIjsCIeXEtmZtr37IyKhm+gYNi++3U1ob0xiwa0ZGIqrcf6jAyjZkAPZyO+NiIia05GySgzek8GCmxnlKWRc6OSBcF/rGLqZW6VB15MPY3fIA6Kj3DiFCrj9UxbciKjFsacbkR0qLypEyrSJqCotER3FJiV2ug0hxa0BFoSanTbSDe63R0HlphUdhYjIpsiyEenntmBouisq+HrWLJxlIPxIKdJPW8/7sRlh6XjowjxItVY2VUm/F4HkaaJTEJEdYk83Ijvk5OaO/vc/IjqGTerd9V6EFEWy4NZCqo8V4dzbe1C+K090FCIim1FReQp7992DM0fux13OJ0XHsVmlEpAe64x2YW6iozTYGyej8ajDbNS6hIqO0nCtkoGeT4pOQUR2ij3diOzYmn/PQsaOraJj2IxBiePhnucuOobd0ka5w/3W1uz1RkR0g2TZiNOnv8CxrDkwGisBAEZJg3m6L/GndUw/ZpU0MtDpRBX2Z1rPirAhjlVY7fspPPK2iI5ybTpPYMJWwMVfdBIislMsuhHZsYqSYiyZNhEVxUWio1i9YT0mw+mso+gYdk/SKuE2LBxOXfxERyEisioVlaeQlvYciop2XLatSNsZ0+tmcJhpM1JCRvfsWuxJOy86SoOpFTK+ifgRHXI+Fx3l6kYvB6KHiE5BRHaMw0uJ7JjOxRVDJ02DJPGp4EYpFEqM7PkUC24WQq42oPDbTJz/9BDqiqpFxyEisniybEROzmfYsePmKxbcAMCteg8edd7VwsnsiwEStgWr0aW9j+goDVZrlDAicwhS/F+ErNaJjnO5ruNZcCMi4djTjYiw9aul2P7tl6JjWB2VSoMR3Z6A6qzoJHQl7PVGRHRt1+rddiUfuyxDaimH8De35PMG7NxrXXOVDvMuwALMgar0tOgof/FtBzz0G6B2EJ2EiOwci25EBNloxDdvvIDsQwdER7EaDg56DI+fDCnPIDoKXQfneiMiqu9Kc7c1RKUqBM8p3sH5WmMzpiMA6FUoY9dO6/pWL1xXhZU+H8Mt7w+xQdQ6YHwq4B0tNgcRETi8lIgASAoFhj4+HTpXN9FRrIKz3hMj4qaw4GYlqjMKucIpCbdp0ybccsstCAgIgCRJWL169VX3feSRRyBJEhYsWFDv/ieffBIeHh4ICQnB8uXL62376quvcMsttzRDcrI1l1Ymzch8tVEFNwBwrMvG49rVzROM6tnsLqFzYiAUkugkDXe8wgHdsifiUPDdYoMMfpMFNyKyGCy6EREAwMnNHTdPns753a7Dwz0AN0c/CpyvEx2FGqHeXG8Xq0THITtUXl6ODh064P3337/mfqtXr8aOHTsQEBBQ7/41a9Zg2bJl+Pnnn/HWW2/h/vvvx4ULf610WFRUhBkzZuA///lPs+Un62c01iEnJ+Wac7c1RETpEtzuaj2rbFqzrS5A+x5BUFlR5a3aqMCwzGFYFvAcZJWAoZ0xw4GE+1v+uEREV8FP10RkEtKuAxJvHy06hsXy843AoNAHIF+sFR2FblB1RiHy/r0HJb+eglzLnorUcoYMGYLXX38dt95661X3OXPmDCZNmoSlS5dCrVbX25aWloY+ffogISEBo0ePhouLC44fPw4AePrpp/HYY48hJCSkWc+BrFdR0W7s2j0CGZkzG9277UpuKX4KEQ78GNESdjjJiOoVCK3Kuq7388fb4ymn2ahzDmy5g7oEAcPfbbnjERE1gHU9exNRs+t+6yiExsWLjmFxQoLaoY/PXZCLWXCzenVGlPyajby396Iyjb01yDIYjUbce++9mD59Otq2bXvZ9g4dOmD37t0oLCzEnj17UFlZicjISGzZsgV79+7F5MmTBaQmS1ddfR6Hj0zDnr2jUFZ21GztquRSTJQ+gFqynh5Y1myvg4zQnoHQaZSiozTKynM+GFLxGkp8ujT/wSQlcNvHgKN78x+LiKgRWHQjonokhQJDJz0FJ3cP0VEsRuuIbkhyGQ65jENKbYnhYhUuLDmCgpTDqLvQ9J4fRE3x1ltvQaVSXbV4NnjwYNxzzz3o0qULxo0bhyVLlsDJyQmPPvooFi1ahIULFyI6Oho9evTA4cOHWzg9WRqjsQ7ZOYvxx/YByMtb1SzH8K34Bfe7ZDZL23S5A1ojfHoGwNVRff2dLUhmuSO6nZmMo8GjmvdAydOB0KTmPQYR0Q1g0Y2ILqNzdftrfjcFnyLaxfRFZ1U/yJUcimirqo5eRN7be1D8C4eckhh79uzBO++8g5SUFEjX6Dn0yiuv4NixYzh48CD+9a9/4c0338SAAQOgVqvx+uuvY8uWLXjooYcwduzYFkxPlqawaCd27RqOzMzXYTCUNeuxehU9j85OcrMeg/7nqNoIfZIvPPUa0VEapdKgxE2ZI/BNwDOQlc2wknhIItD7afO3S0RkBvxETURXFBzbHkl3jBEdQ6iEuGFoW9cNco1RdBRqbnUySn/LRt6/96DyCIecUsvavHkz8vPzERISApVKBZVKhVOnTuGpp55CWFjYFR9z9OhRLF26FDNnzkRqaiqSk5Ph7e2NO++8E3v37kVJSUnLngQJV12dj8OHn8TevaNRVp7eIsdUwICHal+Ds5IfKVpKlkqGorsP/FwFLFLQRNOOd8DTzrNgcPIzX6MObsCtHwMK6xp6S0T2g6+QRHRV3f51p93O79aj852IKG8L1PEbfHtiKKzGhc+OoGDxIdQVcMgptYx7770XBw4cwP79+023gIAATJ8+HT/99NNl+8uyjPHjx2P+/PnQ6/UwGAyorf1rvslL/zUa+WWBvTAaa5Gd/Sn+2D4Qeee+a/Hju1QfwKNOW1r8uPYsRymjqqsXgj11oqM02td5fri5+nWU+XQ2T4PD3wXcgs3TFhFRM1CJDkBElkuSJAx9fBo+f2Yyyi7aT++fft3ug/d5P4D1NrtVlV6IvGN74Nw7CM59gqGwssmryfKUlZXh2LFjpt9PnDiB/fv3w8PDAyEhIfD09Ky3v1qthp+fH6Kjoy9r6+OPP4aPjw+GDx8OAOjRowdeeeUVbN++HevXr0dsbCzc3Nya9XzIMhQW7kB6xisoL88QmqND8XwMco3HzyWOQnPYkzyFjJpOHgg/oMDxc807jNjcjpbp0K3yCXwXvgqROd/eeENdHwFiR5gvGBFRM5BkWebHSiK6ptNph/DVa89DtoOeEzclPQrXXBfRMciCKF01cBkYCl28LyQlV+qjG5Oamoq+fftedv99992HlJSUy+4PCwvD1KlTMXXq1Hr3nzt3Dt26dcO2bdsQEBBguv+1117DO++8Ax8fHyxZsgRdu3Y19ymQBSkvz0LW8fk4f/7ynpCiVCkDMUP1PvI4JUOLcpaB8COlSD9tnUPKF0TsxYjcdyAZG7k6fEgScN/3gNK6FpYgIvvDohsRNciO1V9jy5dLRMdoPpKEW3pMge5MM0zwSzZB5aOD6+BQOLb1Eh2FiOxUVVUuTpx4F2dzvwFgecWtU/rRmFF+OzuKtzAHGWiXUY5DJ4tER7khY/zP4rWaOVCW5zfsAc7+wPiNgLNv8wYjIjIDFt2IqEFkWcaq2a/gxP49oqOYnVKpwvDEJ6A5w2ku6fo0Ic5wvakVtOGuoqMQkZ2orS3CyVMf4vTpJTAaa0THuaY1bh9geTGLIS1NIwOdTlRhf6Z1TgfS3rkcy93+A6fz+6+9o1IDjFsHBLM3LxFZBxbdiKjBKktL8Nkzk1F2oUB0FLPRqB0xvMsUKHP5VEiN4xDtDpfBYdAE6EVHISIbZTBUICdnCU5lL0JdXanoOA1ikHR43fELZFTydbWlKSGje3Yt9qSdFx3lhjipDFgb9i1anV599Z1ung90eajFMhERNRWLbkTUKGfS0/DVq8/CaDCIjtJkOp0LhsVNgnTO+s+FxHHs6A3XgaFQeXICcSIyD6PRgLO5K3DixLuoqbG+AkqBrjeerpqCan7MaHGSLKNnbh12HWzgUE0L9J/IXRh69j1Ixrr6GzreA4z8j5hQREQ3iEU3Imq03WtWYuMXn4qO0STOLt4YGj0eKKi7/s5E16OQ4NTNDy79QqB01ohOQ0RWSpZlHD58GL///js6J2xGVdVe0ZFu2Da31/Gf4hjRMexW8nkDdu7NEx3jho0LOI2XKudAUfn/oyv8OwIP/ASoHYTmIiJqLBbdiOiG/PjB2zi88TfRMW6Ip2cwBobeB7mwkStlEV2HpFFA3ysIzr0CoXBQiY5DRFYkKysLv/76K3JzcwEArVpJCAr+THCqGydDwnvOK7CjTCk6it3qVShj186zomPcsE6uZVjq/C4cK3L/WjjBLVh0JCKiRmPRjYhuiKGuFl/PnIEzR4+IjtIoAf5RSPa5A3IJe7hR85EcVdAnBUCfFAClk1p0HCKyYBkZGdi8eTNycnIu2zZwYCaqqrcLSGUeZZo2eNo4C8UGy1tp1V70KAH2bT8Do5V+4vPUGvH7uEC4tuokOgoR0Q1h0Y2IblhFSTGWzXgSxfnnREdpkFahHdHN+WbI5Sy4UcuQ1Ao4dfWDvlcQVG5a0XGIyEIYjUYcPnwYW7ZswblzV38NDQpSoFX45wCst2h1xGUS3ijtKzqGXetWLuHwtjOos8LK20vDYvFAz1aiYxAR3TAW3YioSQpyTuHLF6ejprJCdJRrio5MQry6D+QqLppAAigl6OJ94Nw7CGpvneg0RCRIXV0d9u/fj61bt6KwsLBBjxkw8BSqqzc1c7LmtdR1CX4o4UrPInWqkpC19Syq66yngHtH5yDMvaOD6BhERE3CohsRNdmJfbuxas5rkI2W+UauQ9uBaFObANRaZj6yIxLg2NYLzn2CoAlyFp2GiFpIdXU1du/ejT/++ANlZWWNeqyvr4ToNssgy9bbS7tG6YMXVItwpoavwyLFVStwettZVNRY/heQ8SFuWD6+O7QqzglIRNaNRTciMos9675D6mcfi45xma4dR6JVWRvAwKc6siza1m5w7hMMhwg30VGIqJmUl5djx44d2LlzJ6qqqm64nf79z6Km1joXL7rktP5WPFc+xooHytqGNrUKFP6Rh+JKy11Mys/FAd8/3gM+zlyplIisH4tuRGQ2v3z0Pg789qPoGCa9uoxGwIUQgM9yZME0wc5w7hsMhzYekBSS6DhEZAbFxcXYtm0b9u7di9raphc3PD0VaNd+OYzGajOkE+dHt3fxeXGg6Bh2L6JOQtWOfFwoqxEd5TJalQJfPZKIDsFuoqMQEZkFi25EZDaGujp8++ZLyDl8QHQUDOj+ADzPeYuOQdRgKh8d9EkB0MV7Q6FViY5DRDcgJycHu3btwqFDh2A085QLffueR53Bcr7YuhEGyQGzdUtxxLKngbULwQYJyl0FyCu+8R6YzeHfd3bArZ2CRMcgIjIbFt2IyKwqy0rx5QtPoTD3rLAMQ3tMhPNZTthM1knSKKHr5AN9d3+o/ZxExyGi66ipqcHBgwexa9cu5OXlNdtxXFwkdOr0DQxG665YXXBIwtO101BlhStp2ho/owTnvReRc8Ey/qYe6xOBp29qIzoGEZFZsehGRGZ38expLHvhKVSXl7focSVJgeE9psLhjLpFj0vUXDStXKHv7g+Hdp5QKBWi4xDR35w/fx67d+/G/v37UV3dMsM+k3sXQpbXtsixmtMOt5fxbnGc6BgEwMMowe9AEY6fa9wCH+Y2LM4f742OhyRxmgUisi0suhFRszh1YD9Wzn4ZRkPLrJClVGowovtUqM/yzRrZnl3tzsE1wAOdO3eGq6ur6DhEdstgMCA9PR27du3CiRMnWvz4Op2Ebt1Wo85Q0uLHNicZEj50+RJbSvklmSVwloHwI6VIPy3m76pzqDuWPtQNDmquVEpEtodFNyJqNvt//gG/ffJBsx9Ho9FhRMIUKHK5JhrZniq9EcuMG2E0GiFJEqKjo9GlSxeEh4ezRwBRCykpKcHevXuxZ88elJaWCs3Ss2cZJMUqoRnMoVwdiWcxFxfr+NptCRxkoF1GOQ6dLGrR44Z66rDqsR7wcNK06HGJiFoKi25E1Kx+X7wI+35c02ztOzm5Y1i7x4D8umY7BpFIh1tfxB85+y6739PTEwkJCejYsSMcHR0FJCOybbIs4+TJk9i1axeOHj1q9oURbpRWK6FHz3Worb0gOkqTpbuMx2ulg0XHoP+nkYFOJ6qwP7Nl/rZcHdVY+VgSIrw5Dy8R2S4W3YioWRmNBqya/SpO/rnX7G27uflhcOuHgIJas7dNZAmMChlfe+xCadnVe9YolUq0bt0acXFxiIqKgkrFlU+JmiI/Px8HDhzAwYMHUVxcLDrOFXVPrIRa/Y3oGGbxldun+K6Yw+YthRIyumfXYk/a+WY9jkapwGcPdkX3cM9mPQ4RkWgsuhFRs6uuKMeyF6bh4pkcs7Xp7R2G/kH3QC5iwY1s15nQSqw/t63B+2u1WsTGxiIuLg5hYWEcfkrUQCUlJTh06BAOHDjQrCuQmotKBfTu8ytqanJFR2myWoUHXtZ8glPVltGTkABJltEztw67DuY32zH+fWcH3NopqNnaJyKyFCy6EVGLKDqXh6UznkRVadMn6Q0MjEEvz1shl3JIKdm2X8MycDLvxorVLi4uaN++PeLi4uDr62vmZETWr6qqCmlpaThw4ABOnjwJa3tLnNClGo6OX4mOYRZnnYbh2Yr70TJLL1FDJZ83YOde8xehpw2KwqR+rc3eLhGRJWLRjYhazOkjh/DNGy/AUHfjxbLwVp3RVTcYcgXfmpNtK/MwYHlFqlna8vX1Rfv27dG+fXuufkp2zWAw4NixYzhw4ADS09NR14TXI9EkSUb/AZtRXX1KdBSz+M3t3/i0OFR0DPqHXoUydu08a7b27u4Wgjf/1d5s7RERWToW3YioRaX/sRnr3pkLWW78MJLY6GTEST0gcwgK2YG9rc9hb84hs7YpSRJCQ0MRFxeHNm3aQKfTmbV9IktkNBqRk5ODgwcP4vDhw6isrBQdyWzi4+ugd/5SdAyzMEoazNV9iQMVopPQP/UoAfZtPwNjEz819m/jg4/GJkCp4NQHRGQ/WHQjoha3/+cf8NsnHzTqMfHtb0JUdTxQy4Ib2T6DWsaXum2oqq5qtmNIkoSQkBBER0cjOjoanp6czJpsR01NDbKyspCeno6MjAxUVNhqJUfGwIE7UFWdKTqIWRRqE/B03fOoaGp1h8yuW7mEw9vOoO4G/206BLniy/HdodNwsR8isi8suhGRENu+XoY/vlnWoH27x9+K0JIoNPkrViIrcSK8DL+d3dGix/Ty8jIV4IKCgqBQKFr0+ERNVVJSgoyMDKSnp+PEiRNWPXS0Mdq1M8LdY6noGGazx+05/Ls4QXQMuoJOVRKytp5FdV3jvgAN8dBh5WNJ8NJrmykZEZHlYtGNiIT57dOF2P/Tumvu07vrvfArCAD4TEV2ZG3QIeQVnBN2fJ1Oh9atWyM6OhoRERHQavlBiSxTXl4e0tPTkZ6ejrNnzTfvlLUZOGgvqqoOi45hNh+7LENqKZ93LFFctQKnt51FRU3D5tb1cNLgmwmJCPfWN3MyIiLLxKIbEQkjG41Y9948pG/bdMXtgxLHwz3PvYVTEYl10a8WK4uu/P+ECEqlEq1atTL1gnNxcREdiexYXV0dTp48aRo2WlxcLDqSRYiOBnx8Pxcdw2wqVSF4TvEOznNKCYvUplaBwj/yUFxZe8399FoVvny4O9oHcQEfIrJfLLoRkVCGujqseutVnDqwr979w3o8DqeznOSd7M8fkadx+HS66BhX5e3tjbCwMLRq1QqhoaFwcnISHYlsmMFgQG5uLk6ePImTJ08iOzsbNTU1omNZpIGDDqGqat/1d7QSWc734aWy4aJj0FVE1Emo2pGPC2VX/v9Rq1Ig5f6uSIzgfKFEZN9YdCMi4WqrqvDVzOeRdywDCoUSw5OmQnuGE+2S/alxNGKZcrNVzUXl4+ODsLAw040rolJTGI1GU5HtxIkTLLI1Qni4hMCgz0THMKtVbh/hm2IWbSxVsEGCclcB8orrL/qjUkhYeE9nDIz1FZSMiMhysOhGRBahsrQE38x8Eb2CbofKfqflITuXHlmEzaf3iI7RJL6+vqYCXGhoKItwdE1GoxF5eXk4ceKEqSdbdXW16FhWa+CgTFRVbRcdw2zqJGe86vAZjldxmKml8jNKcN57ETkX/lohWJKA+Xd0wK2dggQnIyKyDCy6EZHFqC2qRMGHB2Eo4gcusj+yJGOlz14UFheJjmI2kiSZinAhISEICAiAm5ub6FgkUE1NDXJzc3HmzBmcPHkSp06dYpHNjIKCJbRq9QUA2ylSndMNxDNVj6KWH1kslodRgt+BIhw/V4aXb4nF/T1aiY5ERGQxWHQjIotSd6ES+R8egLGUw4nIvuQFV2Pt+S2iYzQ7R0dHBAQEwN/fHwEBASzE2bBLBbbc3FycPXsWubm5KCgoAN96Nq8BA0+hutpyFmMxh41ub+Gj4kjRMeganGVgmqMrHklkwY2I6O9YdCMii1N7rhznFx2AscJ65rUiaqrU8OM4dvaE6BhCsBBn/Vhgsxx+fgpERS+FLNvOa6gRSizQr8Ceckl0FLqKCcHeeCUyUHQMIiKLw6IbEVmkmtOlOP/xQcjVBtFRiJpdhasRX9akskDxN38vxHl5ecHT0xNeXl5wdHQUHc2uGQwGFBYW4sKFC7hw4QLy8vJYYLNA/fufRU3tb6JjmFWJNg5PG15FqcF2hs7aivsCPPFWdLDoGEREFolFNyKyWNUni1HwySHItXyDTbbtQOvz2JlzQHQMq6DT6eDp6XnZzcPDA2q1WnQ8m1FSUmIqrBUUFJh+LioqgtHI52RL5+mpQNt2X0KWbWuqhj9dn8KckiTRMehv7vRzxzttQiBJ7IVIRHQlLLoRkUWryihEwWeHgTo+VZFtMihlfOW6HeUVFaKjWDVJkuDi4mLqEefp6Ql3d3c4OztDr9fDyckJCoVCdEyLUV1djdLSUpSVlaG4uNhUVLt0q62tFR2Rmqhv3/OoM/woOobZLXH9Aj+XsMerJRju44aFsaFQsuBGRHRVLLoRkcWrPFyAC0uPAkY+XZHtyW5Vjp9zt4uOYfMkSYJerzcV4ZydnU23v/9u7cW5qqoqlJWVobS01FRUu/Tz33+vqbGtHlB0OVdXBeLjv4bBaFsF/SplIGao3kdeDXtcijTQ0wWftmsFtYIFNyKia2HRjYisQsW+fFz8Kh3gMxbZmB9D0nA6/6zoGPT/JEmCk5MTHB0dodVqodFooNFoGvWzUqmEJElXvcmyDFmWYTQaTT9futXW1qK6uho1NTWoqalp8M/V1dUoKytjDzWqp3fvQhjltaJjmN0p/WjMKL+dbwkESXbX4/O4cGit+AsKIqKWwqIbEVmNsp25KFp1jIU3shkl3nX4qnSj6BhEZKOcnCR07boadYYS0VHMbo3bQiwv9hEdw+50c3XClx0ioFOy4EZE1BB8tiQiq6Hv6g/326P4zEU2I90tX3QEIrJh5eUyamv7iY7RLIYUT0eUI4c2tqROLjp8ERfOghsRUSPwGZOIrIpTZ194jGoDcA4RsnK1Whlp57JExyAiG7drlwvUak/RMcxOJZdhIt6BlpP4t4jurk74qkMEnFVK0VGIiKwKi25EZHV0HbzhOSYGUPKNNlmvU8GczJ6Iml91tYzKij6iYzQLr4qNeNDliOgYNq+PuzOWdYiAngU3m/LKK6+gY8eOpt/HjRuHkSNHCstDZKtYdCMiq+TY1hNeY2Mhqfk0RtbpUPlx0RGIyE7s2qWDRuMnOkazSCp6Ed30BtExbNZgLxcsiWtls0NKx40bZ1rkRq1WIzw8HNOmTUN5efl1H5uamgpJklBUVNTg4+Xn5+ORRx5BSEgItFot/Pz8MHjwYPzxxx9NOAvzeOedd5CSkiI6BpHNsc1nTyKyCw7RHvAc1xaShk9lZF3OB9SgoPCC6BhEZCfq6oCSkmTRMZqFBBkPVL8EVxstCok03McNn7RtZfOrlN50003Izc3F8ePH8frrr+ODDz7AtGnTmuVYt912G/78808sWbIEGRkZ+P7779GnTx9cvHixWY7XGK6urnBzcxMdg8jm2PYzKBHZPIcIN3g92B6SlkMeyHocdcwVHYGI7MzuXRpoNSGiYzQLfc1RTNL9JjqGTbnTzx0LY0OhsoM5dC/1OAsODsbdd9+NMWPGYPXq1ZBlGXPmzEF4eDgcHR3RoUMHfPPNNwCAkydPom/fvgAAd3d3SJKEcePGXfM4RUVF2LJlC9566y307dsXoaGh6Nq1K5577jncfPPNpnYlScL+/fvrPU6SJKSmpgL4Xw+7devWoUOHDnBwcEC3bt1w8OBB02NSUlLg5uaG1atXIyoqCg4ODhg4cCBycnKumu+fw0uvdf4AUFhYiDFjxsDb2xuOjo5o3bo1Fi9e3JBLTmRXWHQjIqunDXWB98PtodCpREchuq4qvRGZuRxaSkQtS5YlXLjQQ3SMZhNb8j6GupSJjmETxgZ44p02IVDa6SIVjo6OqK2txQsvvIDFixdj4cKFOHz4MJ544gncc8892LhxI4KDg/Htt98CANLT05Gbm4t33nnnmu3q9Xro9XqsXr0a1dXVTc45ffp0zJs3D7t27YKPjw+GDx+O2tpa0/aKigq88cYbWLJkCbZu3YqSkhLcddddDW7/WucPAC+++CKOHDmC9evXIy0tDQsXLoSXl1eTz4vI1vATKhHZBE2QM7wejkPBfw/CWF57/QcQCZLlXwRjjlF0DCKyQ/v2KTFwYCSqqo+JjtIs7iibjj81i3Cmhs+xN+qRYG+8GhkoOoYwO3fuxLJly9C3b1/8+9//xu+//47ExEQAQHh4OLZs2YJFixahd+/e8PDwAAD4+Pg0aFimSqVCSkoKHn74YXz44Yfo1KkTevfujbvuugtxcXGNzvryyy9j4MCBAIAlS5YgKCgIq1atwp133gkAqK2txfvvv49u3bqZ9omJicHOnTvRtWvXa7ZdXl5+3fPPzs5GfHw8EhISAABhYWGNPgcie8CebkRkMzT+TvB+JA4KF43oKERXZFTIOFRomx92icgaSMjN6yY6RLPRGPLxuHopP+DcoCdCfe2y4LZ27Vro9Xo4ODggMTERycnJmDZtGqqqqjBw4EBTDzW9Xo/PPvsMWVlZN3ys2267DWfPnsX333+PwYMHIzU1FZ06dbqhBQwuFcMAwMPDA9HR0UhLSzPdp1KpTAUxAGjTpg3c3Nzq7XM1R44cue75P/roo1i+fDk6duyIp59+Gtu2bWv0ORDZA/Z0IyKbovbRwWd8HM7/9yAMRU3vuk9kTrnBVSg9Vyo6BhHZsUMHFRg4KBZVVUdER2kWwWXf4G633viiOEB0FKvyfLg/Jof6io4hRN++fbFw4UKo1WoEBARArVZjx44dAIB169YhMLB+IVKr1TbpeJfmVxs4cCBeeuklPPTQQ3j55Zcxbtw4KP5/0QpZlk37/33I6PVI/xgS/M/fr3bfPxmNf/UWvdb5DxkyBKdOncK6devw66+/on///pg4cSLmzZvX4LxE9oBfBBGRzVF5OcL7kTgoPR1ERyGqJ026+gTGREQtJftUZ9ERmtWg4qcRqxOdwjpIAGZGBtptwQ0AnJycEBkZidDQUKjVagBAbGwstFotsrOzERkZWe8WHBwMANBo/hpZYTAYmnT82NhYlJeXAwC8vb0BALm5/1tw6e+LKvzd9u3bTT8XFhYiIyMDbdq0Md1XV1eH3bt3m35PT09HUVFRvX2ulel6538p77hx4/DFF19gwYIF+Oijjxp20kR2hD3diMgmqdwd4PNIHM5/fBB15ytFxyFCmYcBJ/NYdCMi8dLTgZDQeFRV7RMdpVko5UpMMMzH04ppqDLK13+AnVIAmBMdjHsCPEVHsTjOzs6YNm0annjiCRiNRvTs2RMlJSXYtm0b9Ho97rvvPoSGhkKSJKxduxZDhw6Fo6Mj9Hr9Vdu8cOEC7rjjDjzwwAOIi4uDs7Mzdu/ejTlz5mDEiBEA/lrEoXv37pg9ezbCwsJQUFCAF1544Yrtvfbaa/D09ISvry9mzJgBLy+vequPqtVqPP7443j33XehVqsxadIkdO/e/brzuTX0/F966SV07twZbdu2RXV1NdauXYuYmJjGXWgiO8CebkRks5QuWng/Ege1n5PoKETI8CwQHYGIyCTrWHvREZqVZ9U2jHf+U3QMi6WUgHdjQlhwu4aZM2fipZdewqxZsxATE4PBgwdjzZo1aNWqFQAgMDAQr776Kp599ln4+vpi0qRJ12xPr9ejW7duePvtt5GcnIx27drhxRdfxMMPP4z333/ftN+nn36K2tpaJCQkYMqUKXj99dev2N7s2bMxZcoUdO7cGbm5ufj+++9Nve8AQKfT4ZlnnsHdd9+NxMREODo6Yvny5WY7f41Gg+eeew5xcXFITk6GUqlsVPtE9kKS/z5gnIjIBhkranH+k0OoPVMmOgrZKYNaxpe6baiqrhIdhYjIZOCgDFRV7RAdo9nIkPChy5fYUqoWHcWiqCUJH8SG4hYfN9FR6Aakpqaib9++KCwsvOqqqSkpKZg6dSqKiopaNBsRXY493YjI5il0ang/3B6aEGfRUchOZQeXs+BGRBYnLS0af83qZZskyBhb+QI8VPzIc4mDQsKn7cJYcCMiaiF8BSIiu6BwUMHrwfbQtnYTHYXs0OGak6IjEBFd5nSODK22p+gYzcqp9hgmOa4XHcMiOCkV+Lx9OAZ6uYqOYpOys7Oh1+uvesvOzhYdkYgE4PBSIrIrskFG0epjKN+VJzoK2YmLfrVYWbRJdAwioivy85MQFb0MslwnOkqzWuH6Kb4vsd9ik49GhaVx4WjvzGVdm0tdXR1Onjx51e1hYWFQqbiOIZG9YdGNiOxSyYYclPx8EuAzIDWzPyJzcPh0hugYRERX1b//GdTU/i46RrOqVXjgJc0nyK42io7S4lrrtFjWIQLBDprr70xERGbF4aVEZJdc+gbD465oQGW7c9mQeDWORqTnHRcdg4jomvbvD4Ik2XZBRm28iMeVn0ApOkgL6+7qhDWdWrPgRkQkCItuRGS3dB184P1Qeyh07OpPzeN4UDHq6mx7yBYRWb8LF2Qolf1Ex2h2AeVrMdbVfubVusXbDSs6RsBNzfc5RESisOhGRHZNG+YK78c6QuXpIDoK2RhZknGomL3ciMg67N3jC4XC9uf76lf8DOJs/zTxSJA3PmobCq2CH/eIiETiszAR2T21lyO8H+sITaiL6ChkQ84FVaOopEh0DCKiBikuNgKy7fd2U8g1GF83CzqFbU4voQAwMzIQr7YOhCTZ5jkSEVkTFt2IiAAondTwfqg9HOO8REchG5GmOiM6AhFRo+ze7QGl0va/gHKv3o0JzrtExzA7B4WEj9qG4eFgb9FRiIjo/7HoRkT0/yS1Ah6j20DfO0h0FLJyFa5GHM87JToGEVGjlJfLqKvtKzpGi+hcNAt9nKtFxzAbL7UK33aMxDAfN9FRiIjob1h0IyL6G0mS4DakFdz+FQnY6NATan7HfC5AlmXRMYiIGm3XLheo1Z6iY7SIeyqehbfa+j8ORTs54IfOrdHZ1Ul0FCIi+gfrf5UhImoG+m7+8LovFpJWKToKWRmDUsbhC8dExyAiuiHV1UBlZR/RMVqEY102Jmm/Ex2jSfq4O2NNp9YIcdSKjkJERFfAohsR0VU4RHvAe0IHKF00oqOQFTkTUoHyigrRMYiIbtiunTpo1H6iY7SIyNIU3OZ6UXSMGzI2wBNfxIXDRcUvCImILBWLbkRE16Dxd4LPxI5Q+3PIBjXMEUO26AhERE1SVweUlCaLjtFibimehnAH6/lYpADwSkQA5kQHQ8WpMIiILJr1vLoQEQmidNXCe0IcHKLdRUchC1fiXYfT+WdFxyAiarI9u7XQaoJFx2gRarkYk6QPoJYsv4ClUyqwuH0rTAjxER2FiIgagEU3IqIGUGhV8LyvLZy62cdwG7ox6W75oiMQEZmF0QhcuNhTdIwW41vxC+53yRQd45r8tWp8Fx+JwV6uoqMQEVEDsehGRNRAkkKC+79aw/XmcK5sSpep1cpIO5clOgYRkdns26uEVhspOkaL6VX0PDo7WebK04luTvg5IQrtnXWioxARUSOw6EZE1EjOvQLh/VB7KJzVoqOQBTkVXIqamhrRMYiIzEjCubyuokO0GAUMeKj2NTgrLesj0iPB3vi6QyS8NXzfQURkbSzrFYWIyEpow13h+3gnaMJcREchC3Go/LjoCEREZnfwoBIODrGiY7QYl+oDeMxpi+gYAAAnpQIftQ3Dq5GBXDCBiMhKsehGRHSDlC4aeD8cB33PQNFRSLDzATUoKLwgOgYRUbPIye4kOkKLiiuej4EulUIzROq0WN85CsN93ITmICKipmHRjYioCSSlBLdh4fC4uw0kjVJ0HBLkqCNXLCUi23X0qAQHh46iY7Sou8qega9GzEelm71d8WPnKEQ5OQg5PhERmQ+LbkREZqCL84bPpI5Q+TiKjkItrEpvRGbuCdExiIia1fGsONERWpSD4Qwmq79GSw7qVErAixEB+KRdK+hV/CKPiMgWsOhGRGQmah8dfCbGwzHOS3QUakFZ/oUwGo2iYxARNausLBkODt1Ex2hRYWXLMMo1v0WO5aVWYUWHCEwM8WmR4xERUctg0Y2IyIwUWiU8746B67BwgJMe2zyjQsahwizRMYiIWsTRo22AFu37Jd6Q4umIcmzec+7sosPPCVHo6e7crMchIqKWx6IbEVEzcO4ZCO/x7aFw1oiOQs0oN7gKpWWlomMQEbWInGwjtNqeomO0KJVchol4B1qpeQpv9wV4YlV8JAIc+H6BiMgWsehGRNRMtGGu8J0cD00rV9FRqJkckXJERyAialGHDraCJKlEx2hRXhUb8aDLEbO26aiQ8G5MCN6KDoZGwY9kRES2is/wRETNSOmsgfdD7aFPDhQdhcyszNOAU3ksuhGRfcnLk6FWJ4uO0eKSil5EN73BLG2FOmiwtnMU7vTzMEt7RERkuVh0IyJqZpJSgtvQcHiMiYGk5WpktiLDo0B0BCIiIf7cHwxJsq/hkBJkPFD9ElyVTfv4NMDTBT8nRKGtnqudExHZAxbdiIhaiK69F3wmdYTKVyc6CjWRQS3jSP4x0TGIiIQoKDBCqewrOkaL09ccxSTd7zf0WAWA6WF++Lx9K7iq7Wt4LhGRPWPRjYioBam9dfCZ2BGOHbxFR6EmyA4uR1V1legYRETC7N3jC4XC/r5Eii15D0Ncyhv1GB+NCss6hOOpVn6QmmlBBiIiskwsuhERtTCFRgnP0W3gNiICUPFp2BodrjkpOgIRkVDFxTIg219vNwC4s2waAjUNe/0e6OmC37u0QR8Pl2ZORUREloif9oiIBNEnBsD38Y5Q+zuJjkKNcNGvFnkF50THICISbvduTyiV9ldM0hjy8bh66TU/SDkqJMyKCsLnceHw0nA4KRGRvWLRjYhIILWvE3wmdoS+VyDAESdWIV2fJzoCEZFFKC+XYaizz95uwWXf4G7Xs1fcFuvkgB8TonF/oFcLpyIiIkvDohsRkWCSSgG3m8Ph9WA7KF3sazU4a1PjaER63nHRMYiILMbOnS5QqTxExxBiUPHTiP3btHYSgPFB3lifEIVoJwdhuYiIyHKw6EZEZCEcIt3hO7UTHNt5io5CV3E8qBh1dXWiYxARWYzqaqCqyj57uynlSkwwzIeDQoK3RoWlceF4rXUgtAp+xCIior/wFYGIyIIodGp43hML99tbQ9IoRcehv5ElGYeK2cuNiOifdu3UQaP2Ex1DCM+qbZjldwq/d4lGP0/7m9+usSoqKnDbbbfBxcUFkiShqKjoiveFhYVhwYIFouOa3bhx4zBy5EjRMYioBbHoRkRkgZwS/OA7JR6aEGfRUej/nQuqRlFJkegYREQWp64OKC1NFh2jxSmVOrSJfh2jo4fDW6MWHUe4nJwcPPjggwgICIBGo0FoaCimTJmCCxcumPZZsmQJNm/ejG3btiE3Nxeurq5XvG/Xrl0YP358i+Tu06cPJEmCJEnQarWIiorCm2++CYPB0CLHb4qUlBS4ubmJjkFE18CiGxGRhVJ5OsJ7Qge4DAwFlFxlQbQ01RnREYiILNbu3VpoNMGiY7QYV5d4dO2yBoGBo0VHsQjHjx9HQkICMjIy8OWXX+LYsWP48MMP8dtvvyExMREXL14EAGRlZSEmJgbt2rWDn58fJEm64n3e3t7Q6XTXOar5PPzww8jNzUV6ejomT56MF154AfPmzbvivjU1NS2Wi4isH4tuREQWTFJIcOkfAp+JHaH2cxIdx25VuBpxPO+U6BhERBbLaAQuXuwhOkazkyQ1wls9gc6dV0CnCxMdx2JMnDgRGo0GP//8M3r37o2QkBAMGTIEv/76K86cOYMZM2agT58+mD9/PjZt2gRJktCnT58r3gfgsuGlRUVFGD9+PHx9feHg4IB27dph7dq1pu3btm1DcnIyHB0dERwcjMmTJ6O8vLzB+XU6Hfz8/BAWFoZJkyahf//+WL16NYD/DQmdNWsWAgICEBUVBQA4ePAg+vXrB0dHR3h6emL8+PEoKysztWkwGPDkk0/Czc0Nnp6eePrppyHLcr3jXmkYbceOHfHKK69c99xTU1Nx//33o7i42NRT79LjPvjgA7Ru3RoODg7w9fXF7bff3uBrQUTmpRIdgIiIrk8ToIfPpI4o+TUbpZtyAKPoRPYl0+cC5Bz5+jsSEdmxfXtVGDAwAtXVWaKjNAsnp9aIjZkLF5f2oqNYlIsXL+Knn37CG2+8AUdHx3rb/Pz8MGbMGKxYsQKZmZl47rnncOjQIaxcuRIazV8rtj/77LOX3fd3RqMRQ4YMQWlpKb744gtERETgyJEjUCr/mvv24MGDGDx4MGbOnIlPPvkE58+fx6RJkzBp0iQsXrz4hs7J0dERhYWFpt9/++03uLi44JdffoEsy6ioqMBNN92E7t27Y9euXcjPz8dDDz2ESZMmISUlBQAwf/58fPrpp/jkk08QGxuL+fPnY9WqVejXr1+Dc1zr3JOSkrBgwQK89NJLSE9PBwDo9Xrs3r0bkydPxueff46kpCRcvHgRmzdvvqHrQERNx6IbEZGVkFQKuN4UBodYDxR+lYG6gkrRkeyCQSnjcMEx0TGIiKyAhHPnusPNzbaKbpKkQmjIeLRq9TgUisuLQvYuMzMTsiwjJibmittjYmJQWFgIg8EAnU4HjUYDP7//Lbxxpfv+7tdff8XOnTuRlpZm6mUWHh5u2j537lzcfffdmDp1KgCgdevWePfdd9G7d28sXLgQDg4ODT4Xo9GIn3/+GT/99JOpPQBwcnLCf//7X1NR8OOPP0ZlZSU+++wzODn9NRLh/fffxy233IK33noLvr6+WLBgAZ577jncdtttAIAPP/wQP/30U4OzNOTcXV1dIUlSvWuXnZ0NJycnDBs2DM7OzggNDUV8fHyjjktE5sPhpUREVkYb4gLfKfHQJwUAnOqt2Z0JqUBFZYXoGEREVuHgAQUcHGJFxzAbZ31bdElYhYiIp1hwu0GXhlRK0o29adm/fz+CgoJMRad/2rNnD1JSUqDX6023wYMHw2g04sSJEw06xgcffAC9Xg8HBwcMHz4c99xzD15++WXT9vbt29frhZeWloYOHTqYCm4A0KNHDxiNRqSnp6O4uBi5ublITEw0bVepVEhISDDruV/JwIEDERoaivDwcNx7771YunQpKir4PoZIFBbdiIiskKRWwm14BLweag+lu1Z0HJt22MC53IiIGiMnu5PoCE2mUGgQEf4UEhJWwtnZdoqIzSEyMhKSJOHIkSNX3H706FG4u7vDy8vrhtr/55DVfzIajXjkkUewf/9+0+3PP/9EZmYmIiIiGnSMMWPGYP/+/cjKykJlZSU++eSTegs5/L24BvxVSLxaEbExxUWFQnHZPG+1tbWmn6937lfi7OyMvXv34ssvv4S/vz9eeukldOjQAUVFRY1ui4iajkU3IiIr5hDhBt+pneDUzY+93ppBsXcdzuTnio5BRGRVjh6V4ODQUXSMG+by/yuThoU9BoWCs/Fcj6enJwYOHIgPPvgAlZX1p77Iy8vD0qVLMWrUqBvu6RYXF4fTp08jIyPjits7deqEw4cPIzIy8rLbleaIuxJXV1dERkYiODjYNFfctcTGxmL//v31FmvYunUrFAoFoqKi4OrqCn9/f2zfvt20va6uDnv27KnXjre3N3Jz//c+o6SkpF7vvOudu0ajgcFguOx+lUqFAQMGYM6cOThw4ABOnjyJ33///brnRUTmx6IbEZGVU2hVcP9Xa3hP6MAVTs0s3S1fdAQiIqt0PMv6FhtQKBzROnIGEjp/BSenSNFxrMr777+P6upqDB48GJs2bUJOTg5+/PFHDBw4EIGBgXjjjTduuO3evXsjOTkZt912G3755RecOHEC69evx48//ggAeOaZZ/DHH39g4sSJ2L9/PzIzM/H999/j8ccfN9fpXWbMmDFwcHDAfffdh0OHDmHDhg14/PHHce+998LX1xcAMGXKFMyePRurVq3C0aNH8dhjj13W26xfv374/PPPsXnzZhw6dAj33XdfvaLf9c49LCwMZWVl+O2331BQUICKigqsXbsW7777Lvbv349Tp07hs88+g9FoRHR0dLNdDyK6OhbdiIhshDbUBT6Px8N1aCtIGj69N1WtVkZaHhdQICK6EVlZgINDV9ExGszNrRu6dV2HkJAHIEl8DW2s1q1bY/fu3YiIiMCoUaMQERGB8ePHo2/fvvjjjz/g4eHRpPa//fZbdOnSBaNHj0ZsbCyefvppUw+vuLg4bNy4EZmZmejVqxfi4+Px4osvwt/f3xyndkU6nQ4//fQTLl68iC5duuD2229H//798f7775v2eeqppzB27FiMGzcOiYmJcHZ2xr/+9a967Tz33HNITk7GsGHDMHToUIwcOfKyIbHXOvekpCRMmDABo0aNgre3N+bMmQM3NzesXLkS/fr1Q0xMDD788EN8+eWXaNu2bbNdDyK6Okn+5yByIiKyenVF1Sj6PgtVRy6IjmK1jkWWIPX0LtExiIisVnCIhLCwzwFY7scNpVKPyMhnEBgw+oaHPxIREV0Nv8YhIrJBKjctvMbGwnNsLJRuXGjhRhwqPy46AhGRVcvJlqHV9hAd46q8vPqje7f1CAq8mwU3IiJqFuzpRkRk44w1BpT8mo2yLWcAI5/yG+J8QA2+u7hZdAwiIqvn769A69ZfQMblk72LotX6IzrqJXh7DxIdhZrZ5s2bMWTIkKtuLysra8E0RGSPWHQjIrITtXnlKFx1DDWnSkRHsXibI04i/UyW6BhERDah/4DTqKnZIDoGJEmF4OBxCG81BUqlTnQcagGVlZU4c+bMVbdHRnLBDCJqXiy6ERHZEVmWUbH7HIrXn4Cxok50HItUpTdimXEjjEaj6ChERDbBy0uB2LbLIMu1wjK4unZCm+jXoddzBUciImo5KtEBiIio5UiSBKcufnCI9UTxuuOo2JsvOpLFyfIvhDGHBTciInMpKDBCqeyLurqfW/zYarUHIiOmw9//Ds7bRkRELY493YiI7Fj18SIUrj6GuvxK0VEsglEh42uPXSgtKxUdhYjIpri6SugY/zWMxpZ6vVEgMHA0IsKfglrt2kLHJCIiqo9FNyIiOycbjCjddBqlv+dArrXvHl5nQiux/tw20TGIiGxS7z4XYTSua/bjuLh0RHTUK3Bxad/sxyIiIroWFt2IiAgAUHexCkXfHUNVeqHoKML8EpaBU3k5omMQEdkkJycJXbqugsHQPL2J1WoPRERMQ4D/nRxKSkREFoFFNyIiqqfiYAGKfzgOQ2G16CgtqszTgOXlqaJjEBHZtF69SgDpO7O2qVBoEBw0DmFhj0GlcjZr20RERE3BohsREV1GrjOibNtZlKbm2M0qp3tbn8PenEOiYxAR2TQHBwmJSWtQV2eeXtU+PkMRGfE0HB2DzdIeERGRObHoRkREV2WsrEPJhhyUbTsL1NnufG8GtYwvddtQVV0lOgoRkc1LSqqAUvVtk9pwcY5D69Yz4OaWYKZURERE5seiGxERXVddURVKfj6Fin35gA2+ahwPL8XvZ3eKjkFEZBdUKiC598+orT3X6Mdqtf6IjJgOX9/hnLeNiIgsHotuRETUYDVny1D840lUZ9jWYgtrAg/i3IV80TGIiOxG165V0Dp83eD9lUodQkMeQUjIQ1AqHZoxGRERkfmw6EZERI1WlVmI4vUnUHu2XHSUJrvoV4uVRZtExyAisisKBdC3Xypqaq63YrQC/v63ISL8SWi1Pi2SjYiIyFxUogMQEZH1cWjtDm2kGyr2n0fJTydhKLLelU6P6vOAItEpiIjsi9EIFBb2gJPT8qvu4+6ehNaRz8HZObYFkxEREZkPe7oREVGTXFrptGRDDuRK61rptMbRiKWKTTAYDKKjEBHZHUkC+g/Yiurq4/Xud3GOQ0TENHh49BCUjIiIyDxYdCMiIrMwVtSiJPXSSqfW8dJytHUhtuTsFR2DiMhutY8zwM1tGQBAp4tERPiT8PEZLDgVERGRebDoRkREZlVXVIWSn06hYr9lr3QqSzK+9d6LopIi0VGIiOza0KE5CAoaAn//f0GSlKLjEBERmQ2LbkRE1CxqzpaheP0JVGcWiY5yRXnBVVh7fqvoGEREdsvZ2Rm9evVCp06doFJxqmkiIrI9CtEBiETp06cPpk6dKjqGTXnllVfQsWNH0TGuif/uLUcToIf3g+3h9WA7aIKdRce5TJrqjOgIRER2ycnJCYMHD8bkyZPRtWtXFtyIiMhmsehGVmHcuHGQJAmSJEGtViM8PBzTpk1DeXn5dR+bmpoKSZJQVFRU7/6VK1di5syZZsl3tWPQtZWUlODFF19E27Zt4ejoCE9PT3Tp0gVz5sxBYWGh6HhkJg6t3eEzsSO8HmoHbYSr6DgAgApXI47nnRIdg4jIruh0OgwcOBBTpkxBYmIi1Gq16EhERETNil8rkdW46aabsHjxYtTW1mLz5s146KGHUF5ejoULF95Qex4eHmZOSI1x8eJF9OzZEyUlJZg5cyY6d+4MjUaDY8eOYdmyZVi2bBkmTpx4Q23LsgyDwcBvzi2MQ6Q7HCLdUZ1dgtINOag6elHYnG+ZPhcg53B2BSKiluDg4ICkpCR069YNWq1WdBwiIqIWw55uZDW0Wi38/PwQHByMu+++G2PGjMHq1avxxRdfICEhAc7OzvDz88Pdd9+N/Px8AMDJkyfRt29fAIC7uzskScK4ceMAXD7MsLCwEGPHjoW7uzt0Oh2GDBmCzMxMs2TftWsXBg4cCC8vL7i6uqJ3797Yu/d/KyY+9dRTuOWWW0y/L1iwAJIkYd26dab7oqOjsWjRIgB/9fwbOXIk5s2bB39/f3h6emLixImora1tUJ5rXTPgfz33fvvtNyQkJECn0yEpKQnp6en12pk9ezZ8fX3h7OyMBx98EFVVVQ2+Js8//zyys7OxY8cO3H///YiLi0ObNm0wbNgwLFu2DI899lij8/70009ISEiAVqvF5s2bUV5ejrFjx0Kv18Pf3x/z58+/LEdNTQ2efvppBAYGwsnJCd26dUNqaqppe0pKCtzc3PDTTz8hJiYGer0eN910E3Jzcxt8rlSfNsQFXve1hc/kTnDs4N3ir0QGpYzDBcda9qBERHZIq9Wa3m8lJyez4EZERHaHRTeyWo6OjqitrUVNTQ1mzpyJP//8E6tXr8aJEydMhbXg4GB8++23AID09HTk5ubinXfeuWJ748aNw+7du/H999/jjz/+gCzLGDp0aIMLWddSWlqK++67D5s3b8b27dvRunVrDB06FKWlpQD+KgBu3rwZRqMRALBx40Z4eXlh48aNAIC8vDxkZGSgd+/epjY3bNiArKwsbNiwAUuWLEFKSgpSUlIalOda1+zvZsyYgfnz52P37t1QqVR44IEHTNu++uorvPzyy3jjjTewe/du+Pv744MPPmjQ8Y1GI1asWIF77rkHgYGBV9xHkqRG53366acxa9YspKWlIS4uDtOnT8eGDRuwatUq/Pzzz0hNTcWePXvqPeb+++/H1q1bsXz5chw4cAB33HEHbrrppnoF14qKCsybNw+ff/45Nm3ahOzsbEybNq1B50pXp/F3gufoNvB7MgG6BF9AKV3/QWZwJqQCFZUVLXIsIiJ75OTkZCq29enTBw4ODqIjERERCcGxV2SVdu7ciWXLlqF///71CkHh4eF499130bVrV5SVlUGv15uGkfr4+MDNze2K7WVmZuL777/H1q1bkZSUBABYunQpgoODsXr1atxxxx1NytuvX796vy9atAju7u7YuHEjhg0bhuTkZJSWlmLfvn3o1KkTNm/ejGnTpmHlypUA/iqw+fr6ok2bNqY23N3d8f7770OpVKJNmza4+eab8dtvv+Hhhx++bp7rXbNL3njjDVOh79lnn8XNN9+MqqoqODg4YMGCBXjggQfw0EMPAQBef/11/Prrrw3q7Xb+/HkUFRUhOjq63v2dO3c29aa75ZZb8OWXXzYq72uvvYaBAwcCAMrKyvDJJ5/gs88+M923ZMkSBAUFmfbPysrCl19+idOnTyMgIAAAMG3aNPz4449YvHgx3nzzTQBAbW0tPvzwQ0RERAAAJk2ahNdee+2650kNo/JyhMftUXAZGIqyjadRvisPcq2x2Y532MC53IiImoOnpycSExPRoUMHztdGREQE9nQjK7J27Vro9Xo4ODggMTERycnJeO+997Bv3z6MGDECoaGhcHZ2Rp8+fQAA2dnZDW47LS0NKpUK3bp1M93n6emJ6OhopKWlNTl7fn4+JkyYgKioKLi6usLV1RVlZWWmjK6urujYsSNSU1Nx8OBBKBQKPPLII/jzzz9RWlqK1NTUer3cAKBt27ZQKpWm3/39/esNubyWhl6zuLi4eu1fOhfgr2uWmJhYb/9//n49f+/NBgCrVq3C/v37MXjwYFRWVjY6b0JCgunnrKws1NTU1Mvk4eFRr9C3d+9eyLKMqKgo6PV6023jxo3Iysoy7afT6UwFt0vXoqHXmhpO5aqF2/AI+D3TBc59gyE5KK//oEYq9q7DmXwODSYiMqeQkBDcddddmDRpEhISElhwIyIi+n/s6UZWo2/fvli4cCHUajUCAgKgVqtRXl6OQYMGYdCgQfjiiy/g7e2N7OxsDB48GDU1NQ1uW5avPKG6LMuXFYZuxLhx43D+/HksWLAAoaGh0Gq1SExMrJexT58+SE1NhUajQe/eveHu7o62bdti69atSE1NrTf/HIDL3tBKkmQannotjblmfz/GpevQkGNcj7e3N9zc3HD06NF694eEhAAAnJ2dTSvBNiavk5OT6eer/Zv+ndFohFKpxJ49e+oVMAHU60F3pWvdkPbpxij1GrgODoNz7yCU/XEWZVvOwlje9GHeAJDulg+UmqUpIiK7JkkSYmJikJSUVK8XOREREf0Pi25kNZycnBAZGVnvvqNHj6KgoACzZ89GcHAwAGD37t319tFoNAAAg8Fw1bZjY2NRV1eHHTt2mIaXXrhwARkZGYiJiWly9s2bN+ODDz7A0KFDAQA5OTkoKCiot0+fPn3wySefQKVSYcCAAQCA3r17Y/ny5ZfN59YUDblmDRETE4Pt27dj7Nixpvu2b9/eoMcqFArceeed+OKLL/Diiy9edV63puSNjIyEWq3G9u3bTcW8wsLCetcyPj4eBoMB+fn56NWrV4OyU8tROKjg0jcE+h6BKN+Zh7LNp2Eobngx/Z9qtTLS8riAAhFRU6jVasTHx6N79+5cCZ6IiOg6WHQjqxYSEgKNRoP33nsPEyZMwKFDhzBz5sx6+4SGhkKSJKxduxZDhw6Fo6NjvV5MANC6dWuMGDECDz/8MBYtWgRnZ2c8++yzCAwMxIgRIxqc5+DBg3B2dq53X8eOHREZGYnPP/8cCQkJKCkpwfTp0+Ho6Fhvv0vzuq1Zswavv/46gL8Kcbfddhu8vb0RGxvbmEtzVQ25Zg0xZcoU3HfffUhISEDPnj2xdOlSHD58GOHh4Q16/JtvvonU1FR069YNr732GhISEuDk5IQDBw7gjz/+QLt27ZqUV6/X48EHH8T06dPh6ekJX19fzJgxAwrF/0bVR0VFYcyYMRg7dizmz5+P+Ph4FBQU4Pfff0f79u1NRVISS6FRwrlnIPTd/VGxNx+lG3NQd6HhK+VecjK4BLWnzdNjjojI3lxa4fvSquZERER0fZzTjayat7c3UlJS8PXXXyM2NhazZ8/GvHnz6u0TGBiIV199Fc8++yx8fX0xadKkK7a1ePFidO7cGcOGDUNiYiJkWcYPP/zQqHlJkpOTER8fX+8GAJ9++ikKCwsRHx+Pe++9F5MnT4aPj0+9x7q6uiI+Ph4eHh6mAluvXr1gNBrN1ssNaNg1a4hRo0bhpZdewjPPPIPOnTvj1KlTePTRRxv8eE9PT+zcuRNjx47F3Llz0bVrV7Rv3x6vvPIKRo0ahY8//rjJeefOnYvk5GQMHz4cAwYMQM+ePdG5c+d6+yxevBhjx47FU089hejoaAwfPhw7duww9aojyyGpFHDq6gffpxLgMToammDn6z/obw6Xn2imZEREtsvLywu33HILnnjiCSQnJ7PgRkRE1AiSzImJiIjIStXklKJs21lUHDwP1F395ex8YA2+u7C5BZMREVm30NBQJCUlISoqyizz2xIREdkjFt2IiMjqGcpqUL4zD+Xbc2EouXzet80RJ5F+JusKjyQiokskSUJsbCySkpKuOd8qERERNQyLbkQNMGTIEGzefOVeMs8//zyef/75Fk50dZs3b8aQIUOuur2srKxFcvxz3ry/W79+PRcuoGYhG2RUHilA2bazqDlRAgCo0huxzLjRLCvvEhHZIrVajU6dOqF79+5wd3cXHYeIiMhmsOhG1ABnzpxBZWXlFbd5eHhY1OpdlZWVOHPmzFW3/3MF2OZy7NjVV4kMDAy8bCEJInOryS1H+R9nsaskDdtO7hUdh4jI4gQEBKBTp05o164dHBwcRMchIiKyOSy6ERGRTausrMSBAwewe/dunD9/XnQcIiKhHB0dERcXh/j4ePj5+YmOQ0REZNO4eikREdk0R0dHdOvWDRMnTsQDDzyAuLg4qFQq0bGIiFpUq1atcNttt+Gpp57CkCFDWHCzUqmpqZAkCUVFRdfcLywsDAsWLGiRTI3Rp08fTJ06VXQMsxs3bhxGjhzZpDZSUlLg5uZ2zX1eeeUVdOzYsUnHIaKWxaIbERHZjZCQENx666148sknMXjwYHh6eoqORETUbJydndGrVy9MnjwZ9913H9q3b88vHZrJ1YouDS2S3aiGFGqs1dUKdLZ8zkRke/iqS0REdken0yExMRGJiYk4efIkdu/ejbS0NBgMBtHRiIiaRKFQICoqCp06dUJkZCQUCn7HTkREJApfhYmIyK6FhYXh9ttvN/V+CwgIEB2JiKjRPDw8MGDAADz55JO46667EBUVxYKbBdq2bRuSk5Ph6OiI4OBgTJ48GeXl5abtX3zxBRISEuDs7Aw/Pz/cfffdyM/Pv2JbqampuP/++1FcXAxJkiBJEl555RXT9oqKCjzwwANwdnZGSEgIPvroowbnfOaZZxAVFQWdTofw8HC8+OKLqK2tNW2/NMzx888/R1hYGFxdXXHXXXehtLTUtE95eTnGjh0LvV4Pf39/zJ8/vxFXqnEWLlyIiIgIaDQaREdH4/PPPzdtO3nyJCRJwv79+033FRUVQZIkpKamAgAKCwsxZswYeHt7w9HREa1bt8bixYtN+585cwajRo2Cu7s7PD09MWLECJw8efKyHPPmzYO/vz88PT0xceLEetessLAQY8eOhbu7O3Q6HYYMGYLMzMxrntfs2bPh6+sLZ2dnPPjgg6iqqrqxC0REwvCVmIiICICTkxMSExMxfvx4PP744+jTpw+HnxKRRVOpVIiLi8O4ceMwefJk9OzZE3q9XnQsuoqDBw9i8ODBuPXWW3HgwAGsWLECW7ZswaRJk0z71NTUYObMmfjzzz+xevVqnDhxAuPGjbtie0lJSViwYAFcXFyQm5uL3NxcTJs2zbR9/vz5SEhIwL59+/DYY4/h0UcfxdGjRxuU1dnZGSkpKThy5AjeeecdfPzxx3j77bfr7ZOVlYXVq1dj7dq1WLt2LTZu3IjZs2ebtk+fPh0bNmzAqlWr8PPPPyM1NRV79uxpxBVrmFWrVmHKlCl46qmncOjQITzyyCO4//77sWHDhga38eKLL+LIkSNYv3490tLSsHDhQnh5eQH4q3jZt29f6PV6bNq0CVu2bIFer8dNN92EmpoaUxsbNmxAVlYWNmzYgCVLliAlJQUpKSmm7ePGjcPu3bvx/fff448//oAsyxg6dGi9wtzfffXVV3j55ZfxxhtvYPfu3fD398cHH3xwYxeJiITh6qVERETXcPbsWRw8eBCHDh2q9w0+EZEo/v7+6NSpE9q3bw8HBwfRcQh/FVS++OKLy/49DAYDqqqqUFhYiMmTJ8PR0RGLFi0ybd+yZQt69+6N8vLyK/5b7tq1C127dkVpaSn0ej1SU1PRt29fFBYWws3NDSkpKZg6deplc8aFhYWhV69eph5fsizDz88Pr776KiZMmNDo85s7dy5WrFiB3bt3A/irp9vcuXORl5cHZ2dnAMDTTz+NTZs2Yfv27SgrK4Onpyc+++wzjBo1CgBw8eJFBAUFYfz48Q1a5KFPnz7Ytm0bNBpNvfvr6urg4OBgOucePXqgbdu29Xry3XnnnSgvL8e6detw8uRJtGrVCvv27TMtQlBUVAR3d3ds2LABffr0wfDhw+Hl5YVPP/30shyffvop5syZg7S0NEiSBOCv4qibmxtWr16NQYMGYdy4cUhNTUVWVhaUSqUpg0KhwPLly5GZmYmoqChs3boVSUlJAIALFy4gODgYS5YswR133HHZv2VSUhI6dOiAhQsXmrJ0794dVVVV9XrtEZFl45xuRERE1xAQEICAgAAMHDgQp06dwsGDB3HkyBEO8SCiFuXi4oLY2Fh06NAB/v7+ouPQFfTt27degQQAduzYgXvuuQcAsGfPHhw7dgxLly41bZdlGUajESdOnEBMTAz27duHV155Bfv378fFixdhNBoBANnZ2YiNjW1Unri4ONPPkiTBz8/vqkNV/+mbb77BggULcOzYMZSVlaGurg4uLi719gkLCzMV3IC/isGX2s/KykJNTQ0SExNN2z08PBAdHd2ocxgzZgxmzJhR776VK1fizTffNP2elpaG8ePH19unR48eeOeddxp8nEcffRS33XYb9u7di0GDBmHkyJGm4tilf7e/nysAVFVVISsry/R727ZtTQU34K/rcfDgQVNGlUqFbt26mbZ7enoiOjoaaWlpV8yUlpZ2WYE0MTGxUT34iEg8Ft2IiIgaQKFQoFWrVmjVqhWGDh2KY8eO4eDBg8jIyLjq0BAioqZwc3NDbGwsYmNjERgYaOplQ5bJyckJkZGR9e47ffq06Wej0YhHHnkEkydPvuyxISEhKC8vx6BBgzBo0CB88cUX8Pb2RnZ2NgYPHlxvGGNDqdXqer9LkmQq4l3L9u3bcdddd+HVV1/F4MGD4erqiuXLl182J9u12jfXYCpXV9fLrqmPj89l+/3z/w1Zlk33XZrb8O+Z/vm6PWTIEJw6dQrr1q3Dr7/+iv79+2PixImYN28ejEYjOnfuXK9Yeom3t7fp5xu5Hn/PSUS2iUU3IiKiRlKpVGjTpg3atGmD6upqHD16FAcPHsTx48cb9IGGiOhqPDw8TIU2LuxiWzp16oTDhw9fVkS65ODBgygoKMDs2bMRHBwMAKbhnFej0WjMvvL21q1bERoaWq+H2alTpxrVRmRkJNRqNbZv346QkBAAfy0kkJGRgd69e5s1b0xMDLZs2YKxY8ea7tu2bRtiYmIA/K8wlpubi/j4eAC44vBMb29vjBs3DuPGjUOvXr0wffp0zJs3D506dcKKFSvg4+NzWW+/hoqNjUVdXR127NhRb3hpRkaGKeeVzmv79u31zmv79u03dHwiEodFNyIioibQarXo0KEDOnTogPLychw+fBiHDh1Cdna26GhEZCW8vLxMhTY/Pz/RcaiZPPPMM+jevTsmTpyIhx9+GE5OTkhLS8Mvv/yC9957DyEhIdBoNHjvvfcwYcIEHDp0CDNnzrxmm2FhYSgrK8Nvv/2GDh06QKfTQafTNSlnZGQksrOzsXz5cnTp0gXr1q3DqlWrGtWGXq/Hgw8+iOnTp8PT0xO+vr6YMWNGs6yoO336dNx5553o1KkT+vfvjzVr1mDlypX49ddfAQCOjo7o3r07Zs+ejbCwMBQUFOCFF16o18ZLL72Ezp07o23btqiursbatWtNxbAxY8Zg7ty5GDFiBF577TUEBQUhOzsbK1euxPTp0xEUFHTdjK1bt8aIESPw8MMPY9GiRXB2dsazzz6LwMBAjBgx4oqPmTJlCu677z4kJCSgZ8+eWLp0KQ4fPozw8PAmXjEiaklcvZSIiMhMnJyc0LVrVzzwwAOYOnUqBgwYAF9fX9GxiMgC+fj4oE+fPnjssccwadIk9OvXjwU3GxcXF4eNGzciMzMTvXr1Qnx8PF588UXTHH3e3t5ISUnB119/jdjYWMyePRvz5s27ZptJSUmYMGECRo0aBW9vb8yZM6fJOUeMGIEnnngCkyZNQseOHbFt2za8+OKLjW5n7ty5SE5OxvDhwzFgwAD07NkTnTt3bnK+fxo5ciTeeecdzJ07F23btsWiRYuwePFi9OnTx7TPp59+itraWiQkJGDKlCl4/fXX67Wh0Wjw3HPPIS4uDsnJyVAqlVi+fDkAQKfTYdOmTQgJCcGtt96KmJgYPPDAA6isrGxUz7fFixejc+fOGDZsGBITEyHLMn744YfLhqVeMmrUKLz00kt45pln0LlzZ5w6dQqPPvpo4y8QEQnF1UuJiIiaWUFBATIyMpCZmYlTp05xCCqRnfLz8zP1aPPy8hIdh4iIiJoZi25EREQtqLq6GllZWcjMzERmZibKyspERyKiZhQQEGAqtHl4eIiOQ0RERC2IRTciIiJBZFlGXl4eMjMzkZGRgTNnzphtxTciEkOhUCAoKAht2rRBbGws3NzcREciqufNN9/Em2++ecVtvXr1wvr165s9w+bNmzFkyJCrbucXUkRkK1h0IyIishAVFRU4duwYMjMzcezYMVRWVoqOREQN4OXlhfDwcERERCAsLAxarVZ0JKKrunjxIi5evHjFbY6OjggMDGz2DJWVlThz5sxVt19thVciImvDohsREZEFMhqNOH36tGkYal5enuhIRPT/nJycEB4ebrq5urqKjkREREQWiEU3IiIiK1BSUmIqwB0/fhw1NTWiIxHZDbVajZCQEERERCA8PBy+vr6QJEl0LCIiIrJwLLoRERFZmbq6OmRnZyMzMxMnT55EXl4e54IjMiNJkuDv728aMhocHAyVSiU6FhEREVkZFt2IiIisXHV1NU6fPo3s7Gzk5OTg9OnT7AlH1Ehubm6mnmytWrWCTqcTHYmIiIisHItuRERENsZoNCIvL89UhMvOzkZpaanoWEQWxcnJqd6QUQ8PD9GRiIiIyMaw6EZERGQHCgsLkZ2dbSrE5efni45E1GI0Gg38/f0RGBhourm5uYmORURERDaORTciIiI7VFlZaeoFl52djbNnz6Kurk50LKImUygU8PHxqVdg8/b2hkKhEB2NiIiI7AyLbkRERIS6ujrk5ubW6w1XUVEhOhbRdbm7u9crsPn7+0OtVouORURERMSiGxEREV1ZaWkp8vPzce7cOdN/z58/zx5xJIxOp6tXYAsMDOSCB0RERGSxWHQjIiKiBjMajbh48eJlxbjCwkLwLQWZiyRJcHV1hZeXF7y9vU0FNnd3d9HRiIiIiBqMRTciIiJqspqaGpw/f/6yYlx5ebnoaGTBNBoNPD094eXlBS8vL9PPnp6eHCJKREREVo9FNyIiImo25eXl9Ypw+fn5yM/PR21treho1IJcXFxMhbW/F9hcXV1FRyMiIiJqNiy6ERERUYsrLy9HUVERiouLTf/9+8+VlZWiI1IjqVSqer3W/l5c02g0ouMRERERtTgW3YiIiMjiVFdXX1aI+/vPpaWlnEOuBTk4OMDZ2Rl6vR7Ozs6m26XfXV1d4erqCkmSREclIiIishgsuhEREZHVMRgMKCkpqVeIu/TfiooKVFVVmW50dY6OjpcV0K70M+dXIyIiImo8Ft2IiIjIZhmNRlRXV6OqqgqVlZWmQlxDfzYajaJP4boUCgU0Gg20Wu1lt7/f7+TkdFkxTaVSiY5PREREZLNYdCMiIiK6ipqamnrFuNraWsiyDKPRCFmWG/3ztbYDf82LplaroVKp6v18pf+q1WpotVr2QiMiIiKyUCy6ERERERERERERmZlCdAAiIiIiIiIiIiJbw6IbERERERERERGRmbHoRkREREREREREZGYsuhEREREREREREZkZi25ERERERERERERmxqIbERERERERERGRmbHoRkREREREREREZGYsuhEREREREREREZkZi25ERERERERERERmxqIbERERERERERGRmbHoRkREREREREREZGYsuhEREREREREREZkZi25ERERERERERERmxqIbERERERERERGRmbHoRkREREREREREZGYsuhEREREREREREZkZi25ERERERERERERmxqIbERERERERERGRmbHoRkREREREREREZGYsuhEREREREREREZkZi25ERERERERERERmxqIbERERERERERGRmbHoRkREREREREREZGYsuhEREREREREREZkZi25ERERERERERERmxqIbERERERERERGRmbHoRkREREREREREZGYsuhEREREREREREZkZi25ERERERERERERmxqIbERERERERERGRmbHoRkREREREREREZGYsuhEREREREREREZkZi25ERERERERERERmxqIbERERERERERGRmbHoRkREREREREREZGYsuhERERHRVb3yyivo2LGj6BhXdfLkSUiShP3794uOQkRERFQPi25EREREVkySpGvexo0bJzqixbhWga5Pnz6YOnVqi2dqjNTUVEiShKKiItFRbJKlF5iJiMj6qEQHICIiIqIbl5uba/p5xYoVeOmll5Cenm66z9HRUUQssjG1tbVQq9WiYxAREVkV9nQjIiIismJ+fn6mm6urKyRJqnffsmXLEBERAY1Gg+joaHz++ef1Hp+dnY0RI0ZAr9fDxcUFd955J86dO3fV46WmpqJr165wcnKCm5sbevTogVOnTl03Z1ZWFkaMGAFfX1/o9Xp06dIFv/76a719wsLC8Oabb+KBBx6As7MzQkJC8NFHH9XbZ+fOnYiPj4eDgwMSEhKwb9++RlythissLMTYsWPh7u4OnU6HIUOGIDMz07Q9JSUFbm5uWLt2LaKjo6HT6XD77bejvLwcS5YsQVhYGNzd3fH444/DYDCYHldTU4Onn34agYGBcHJyQrdu3ZCamnpDGW80Q1hYGGbOnIm7774ber0eAQEBeO+99+q1LUkSPvzwQ4wYMQJOTk54/fXXAQALFy686t/T6NGjcdddd9Vrp7a2Fl5eXli8eDEAQJZlzJkzB+Hh4XB0dESHDh3wzTffmPa/1Jvvp59+Qnx8PBwdHdGvXz/k5+dj/fr1iImJgYuLC0aPHo2KigrT4xra7m+//YaEhATodDokJSWZCtQpKSl49dVX8eeff5p6iaakpNzQvwsREZGJTEREREQ2YfHixbKrq6vp95UrV8pqtVr+z3/+I6enp8vz58+XlUql/Pvvv8uyLMtGo1GOj4+Xe/bsKe/evVvevn273KlTJ7l3796mNl5++WW5Q4cOsizLcm1trezq6ipPmzZNPnbsmHzkyBE5JSVFPnXq1HWz7d+/X/7www/lAwcOyBkZGfKMGTNkBweHeo8NDQ2VPTw85P/85z9yZmamPGvWLFmhUMhpaWmyLMtyWVmZ7O3tLY8aNUo+dOiQvGbNGjk8PFwGIO/bt++6GU6cOHHVfXv37i1PmTLF9Pvw4cPlmJgYedOmTfL+/fvlwYMHy5GRkXJNTY3pWqvVanngwIHy3r175Y0bN8qenp7yoEGD5DvvvFM+fPiwvGbNGlmj0cjLly83tXv33XfLSUlJ8qZNm+Rjx47Jc+fOlbVarZyRkXHd/Bs2bJAByIWFhU3KEBoaKjs7O8uzZs2S09PT5XfffVdWKpXyzz//bNoHgOzj4yN/8sknclZWlnzy5Mnr/j2tWbNGdnR0lEtLS03trFmzRnZwcJCLi4tlWZbl559/Xm7Tpo38448/yllZWfLixYtlrVYrp6am1jvH7t27y1u2bJH37t0rR0ZGyr1795YHDRok7927V960aZPs6ekpz54923SchrbbrVs3OTU1VT58+LDcq1cvOSkpSZZlWa6oqJCfeuopuW3btnJubq6cm5srV1RUXPffhIiI6FpYdCMiIiKyEf8suiUlJckPP/xwvX3uuOMOeejQobIsy/LPP/8sK5VKOTs727T98OHDMgB5586dsizXL7pduHBBBmAqZDRVbGys/N5775l+Dw0Nle+55x7T70ajUfbx8ZEXLlwoy7IsL1q0SPbw8JDLy8tN+yxcuLDRRTdHR0fZycmp3k2hUJiKbhkZGTIAeevWrabHFhQUyI6OjvJXX30ly/Jf1xqAfOzYMdM+jzzyiKzT6eoVnQYPHiw/8sgjsizL8rFjx2RJkuQzZ87Uy9W/f3/5ueeeu27+KxXdGptBlv+6zjfddFO9tkeNGiUPGTLE9DsAeerUqfX2ud7fU01Njezl5SV/9tlnpu2jR4+W77jjDlmW/yqaOjg4yNu2bavXxoMPPiiPHj263jn++uuvpu2zZs2SAchZWVn1znPw4MFNanfdunUyALmyslKW5fp/60RERObA4aVERERENiotLQ09evSod1+PHj2QlpZm2h4cHIzg4GDT9tjYWLi5uZn2+TsPDw+MGzcOgwcPxi233IJ33nmn3pxy11JeXo6nn37a1L5er8fRo0eRnZ1db7+4uDjTz5eGyubn55vydujQATqdzrRPYmJig47/dytWrMD+/fvr3RISEkzb09LSoFKp0K1bN9N9np6eiI6OrndddDodIiIiTL/7+voiLCwMer2+3n2X8u/duxeyLCMqKgp6vd5027hxI7Kyshp9HjeS4ZJ/XrfExMTL/s3/fk2A6/89qdVq3HHHHVi6dCmAv/7Nv/vuO4wZMwYAcOTIEVRVVWHgwIH1zv+zzz677Pz//nfg6+sLnU6H8PDwK57Tjbbr7+8PAJddGyIiInPhQgpERERENkySpHq/y7Jsuu/vP19tn39avHgxJk+ejB9//BErVqzACy+8gF9++QXdu3e/Zo7p06fjp59+wrx58xAZGQlHR0fcfvvtqKmpqbffPyfrlyQJRqPRlMscgoODERkZWe++vy84cbXj/PO6XCnrtfIbjUYolUrs2bMHSqWy3n5/L5I1RmMzXMs//82dnJyuu88/r8mYMWPQu3dv5Ofn45dffoGDgwOGDBkCAKYM69atQ2BgYL12tFrtVc+rIdf1Rtv9++OJiIjMjUU3IiIiIhsVExODLVu2YOzYsab7tm3bhpiYGAB/9WrLzs5GTk6OqbfbkSNHUFxcbNrnSuLj4xEfH4/nnnsOiYmJWLZs2XWLbps3b8a4cePwr3/9CwBQVlaGkydPNup8YmNj8fnnn6OystJUJNu+fXuj2mjocerq6rBjxw4kJSUBAC5cuICMjIxrXpfriY+Ph8FgQH5+Pnr16mWuuDfkn9dt+/btaNOmzTUfc72/JwBISkpCcHAwVqxYgfXr1+OOO+6ARqMB8Nd11Wq1yM7ORu/evc12LuZqV6PR1FtwgoiIqKlYdCMiIiKyUdOnT8edd96JTp06oX///lizZg1WrlxpWjV0wIABiIuLw5gxY7BgwQLU1dXhscceQ+/evS8bWggAJ06cwEcffYThw4cjICAA6enpyMjIqFeEuZrIyEisXLkSt9xyCyRJwosvvtjoHkZ33303ZsyYgQcffBAvvPACTp48iXnz5jWqjYZo3bo1RowYgYcffhiLFi2Cs7Mznn32WQQGBmLEiBE33G5UVBTGjBmDsWPHYv78+YiPj0dBQQF+//13tG/fHkOHDjXjWVzb1q1bMWfOHIwcORK//PILvv76a6xbt+6aj7ne3xPwV++xu+++Gx9++CEyMjKwYcMG0zZnZ2dMmzYNTzzxBIxGI3r27ImSkhJs27YNer0e99133w2di7naDQsLw4kTJ7B//34EBQXB2dn5sp5yREREjcE53YiIiIhs1MiRI/HOO+9g7ty5aNu2LRYtWoTFixejT58+AP4qkKxevRru7u5ITk7GgAEDEB4ejhUrVlyxPZ1Oh6NHj+K2225DVFQUxo8fj0mTJuGRRx65bpa3334b7u7uSEpKwi233ILBgwejU6dOjTofvV6PNWvW4MiRI4iPj8eMGTPw1ltvNaqNhlq8eDE6d+6MYcOGITExEbIs44cffrhsmOONtDt27Fg89dRTiI6OxvDhw7Fjx4568+q1hKeeegp79uxBfHw8Zs6cifnz52Pw4MHXfMz1/p4uGTNmDI4cOYLAwMDL5oCbOXMmXnrpJcyaNQsxMTEYPHgw1qxZg1atWjXpfMzR7m233YabbroJffv2hbe3N7788ssmZSIiIpJkc02OQUREREREFi8sLAxTp07F1KlTRUchIiKyaezpRkREREREREREZGYsuhERERFRk7Vt2xZ6vf6Kt6VLl7ZIhgkTJlw1w4QJE1okQ1MMGTLkqvnffPNN0fGIiIiokTi8lIiIiIia7NSpU6itrb3iNl9fXzg7Ozd7hvz8fJSUlFxxm4uLC3x8fJo9Q1OcOXMGlZWVV9zm4eEBDw+PFk5ERERETcGiGxERERERERERkZlxeCkREREREREREZGZsehGRERERERERERkZiy6ERERERERERERmRmLbkRERERERERERGbGohsREREREREREZGZsehGRERERERERERkZiy6ERERERERERERmdn/AaCnhiyupDItAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "category_counts = Counter()\n", + "for item in sample:\n", + " category_counts[item.category]+=1\n", + "\n", + "categories = category_counts.keys()\n", + "counts = [category_counts[category] for category in categories]\n", + "\n", + "plt.figure(figsize=(12, 10))\n", + "plt.pie(counts, labels=categories, autopct='%1.0f%%', startangle=90)\n", + "\n", + "# Add a circle at the center to create a donut chart (optional)\n", + "centre_circle = plt.Circle((0,0), 0.70, fc='white')\n", + "fig = plt.gcf()\n", + "fig.gca().add_artist(centre_circle)\n", + "\n", + "# Customize the chart\n", + "plt.title('Categories')\n", + "\n", + "# Equal aspect ratio ensures that pie is drawn as a circle\n", + "plt.axis('equal') \n", + "\n", + "# Display the chart\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "id": "38d31aa3-8a3a-4626-9c50-f55635ca6d18", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sizes = [len(item.prompt) for item in sample]\n", + "prices = [item.price for item in sample]\n", + "\n", + "# Create the scatter plot\n", + "plt.figure(figsize=(15, 8))\n", + "plt.scatter(sizes, prices, s=0.2, color=\"red\")\n", + "\n", + "# Add labels and title\n", + "plt.xlabel('Size')\n", + "plt.ylabel('Price')\n", + "plt.title('Is there a simple correlation?')\n", + "\n", + "# Display the plot\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "id": "f8cfa1af-aadd-416b-b0f9-2bb5fd4d2263", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the distribution again to check it looks as expected\n", + "\n", + "token_counts = [item.token_count for item in sample]\n", + "fig, ax = plt.subplots(1, 1)\n", + "ax.set_xlabel('Number of tokens')\n", + "ax.set_ylabel('Count of items');\n", + "_ = ax.hist(token_counts, rwidth=0.7, color=\"purple\", bins=range(0, 300, 10))" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "id": "59ef7aef-b6f6-4042-a2af-ddd5ae1c9999", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "<|begin_of_text|>Question: how much does this cost to the nearest dollar?\n", + "\n", + "Title: LAVA ME 3 38 Carbon Fiber Lightweight Guitar for Right Hand with Effects Acoustic Guitar Soft | Support Wi-Fi Bluetooth | with Space Bag, Bundle with HogoR Guitar Pick\n", + "Details: The FreeBoost Technology uses the back of the LAVA ME 3 guitar as a speaker Multi-touch Screen & HILAVA System with powerful built-in apps (including Tuner, Metronome, various Effects, Trainer, Rhythm Tracks, Looper & Recorder) WIFI & Bluetooth connectivity; Top HPL (high pressure laminate); Back & Sides HPL (high pressure laminate) Neck HPL (high pressure laminate); Fingerboard HPL (high pressure laminate); 18 Frets Nut TUSQ; Nut Width 42,9 mm (1,69 ); Scale 597 mm (23,5 ); Bridge Material High Performance Fiber Composite ; Pre-Amp L3 Smart Preamp w. Freeboost 2.2 Technology Effects App and Loops App You can start playing instantly with the quick access to Tuner, Tempo, Effects, and Loops apps on the lock- screen. The Effects app features FreeBoost 2.0 technology and incorporates a series of rich sound effects that can be used without external equipment. The Loops app contains diverse grooves from R&B to electronic to classic, enabling you to play every role in a band just by yourself. Weight 13.82 pounds, Dimensions 42.5 x 18.2 x 8.5 inches, Rank Musical Instruments 88359, Acoustic Guitar Beginner Kits 217, Available\n", + "\n", + "Answer: Price is $999.00<|end_of_text|>\n", + "[271, 16533, 25, 8650, 374, 400, 5500, 13, 410, 128001]\n", + "['\\n\\n', 'Answer', ':', ' Price', ' is', ' $', '999', '.', '00', '<|end_of_text|>']\n" + ] + } + ], + "source": [ + "report(sample[-2])" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "id": "cacb9059-5f44-4601-860a-30860cebe9c2", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Divided into a training set of 400,000 items and test set of 2,000 items\n" + ] + } + ], + "source": [ + "random.seed(42)\n", + "random.shuffle(sample)\n", + "train = sample[:400_000]\n", + "test = sample[400_000:402_000]\n", + "print(f\"Divided into a training set of {len(train):,} items and test set of {len(test):,} items\")" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "id": "bf435bcd-accf-427c-82d5-02b33a56737c", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the distribution of prices\n", + "\n", + "prices = [float(item.price) for item in test[:250]]\n", + "plt.figure(figsize=(15, 6))\n", + "plt.title(f\"Avg {sum(prices)/len(prices):.2f} and highest {max(prices):,.2f}\\n\")\n", + "plt.xlabel('Price ($)')\n", + "plt.ylabel('Count')\n", + "plt.hist(prices, rwidth=0.7, color=\"darkblue\", bins=range(0, 1000, 10))\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6b26000a-e5a9-4ab7-83fc-8eb44cb12f94", + "metadata": {}, + "outputs": [], + "source": [ + "del items, slots\n", + "import gc\n", + "gc.collect()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3615bfdd-f23e-4005-96d8-7b52a1a439be", + "metadata": {}, + "outputs": [], + "source": [ + "import csv\n", + "with open('test.csv', 'w') as csvfile:\n", + " writer = csv.writer(csvfile)\n", + " for t in test[:200]:\n", + " writer.writerow([t.title, t.details, 0])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cb6907e9-37d7-4283-b1a9-8124f9f3439b", + "metadata": {}, + "outputs": [], + "source": [ + "human_predictions = []\n", + "with open('human.csv', 'r') as csvfile:\n", + " reader = csv.reader(csvfile)\n", + " for row in reader:\n", + " human_predictions.append(float(row[2]))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "dd7c5db1-4510-4768-bef1-bdac2a7b392f", + "metadata": {}, + "outputs": [], + "source": [ + "average = sum(t.price for t in train)/len(train)\n", + "average" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "id": "95353e68-07ac-4f57-8d57-dd48cacb0e04", + "metadata": {}, + "outputs": [], + "source": [ + "class TestRunner:\n", + "\n", + " def __init__(self, predictor, data, title, size=250):\n", + " self.predictor = predictor\n", + " self.data = data\n", + " self.title = title\n", + " self.size = size\n", + " self.guesses = []\n", + " self.truths = []\n", + " self.errors = []\n", + " self.sles = []\n", + " self.colors = []\n", + "\n", + " def run_datapoint(self, i):\n", + " datapoint = self.data[i]\n", + " guess = self.predictor(datapoint)\n", + " truth = datapoint.price\n", + " error = abs(guess - truth)\n", + " log_error = math.log(truth+1) - math.log(guess+1)\n", + " sle = log_error ** 2\n", + " color = RED if error>=40 else YELLOW if error>=20 else GREEN\n", + " color_str = \"red\" if error>=40 else \"yellow\" if error>=20 else \"green\"\n", + " title = datapoint.title if len(datapoint.title) <= 40 else datapoint.title[:40]+\"...\"\n", + " self.guesses.append(guess)\n", + " self.truths.append(truth)\n", + " self.errors.append(error)\n", + " self.sles.append(sle)\n", + " self.colors.append(color_str)\n", + " print(f\"{color}{i+1}: Guess: ${guess:,.2f} Truth: ${truth:,.2f} Error: ${error:,.2f} SLE: {sle:,.2f} Item: {title}{RESET}\")\n", + "\n", + " def chart(self, title):\n", + " max_error = max(self.errors)\n", + " plt.figure(figsize=(12, 8))\n", + " plt.scatter(self.truths, self.guesses, s=3, c=self.colors)\n", + " plt.xlabel('Ground Truth')\n", + " plt.ylabel('Model Estimate')\n", + " plt.title(title)\n", + " plt.show()\n", + "\n", + " def report(self):\n", + " average_error = sum(self.errors) / self.size\n", + " rmsle = math.sqrt(sum(self.sles) / self.size)\n", + " hits = [e for e in self.errors if e<20]\n", + " title = f\"{self.title} Error=${average_error:,.2f} RMSLE={rmsle:,.2f} Hits={len(hits)/self.size*100:.1f}%\"\n", + " self.chart(title)\n", + "\n", + " def run(self):\n", + " self.error = 0\n", + " for i in range(self.size):\n", + " self.run_datapoint(i)\n", + " self.report()\n", + " return self" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "id": "e3a8519f-c139-4c72-8d9c-39ccedda2f7b", + "metadata": {}, + "outputs": [], + "source": [ + "train_average = sum(t.price for t in train)/len(train)\n", + "\n", + "def flat_predictor(item):\n", + " return train_average" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "id": "739d2e33-55d4-4892-b42c-771131159c8d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[93m1: Guess: $262.18 Truth: $225.66 Error: $36.52 SLE: 0.02 Item: Generation Lighting 6639003-962 Three Li...\u001b[0m\n", + "\u001b[91m2: Guess: $262.18 Truth: $82.99 Error: $179.19 SLE: 1.30 Item: Paradise Found Men's Bamboo Paradise Shi...\u001b[0m\n", + "\u001b[91m3: Guess: $262.18 Truth: $799.99 Error: $537.81 SLE: 1.24 Item: Dell Latitude 3420 3000 14\" FHD IPS (Int...\u001b[0m\n", + "\u001b[91m4: Guess: $262.18 Truth: $419.66 Error: $157.48 SLE: 0.22 Item: Delta Faucet T17T238-RB Lahara Tempassur...\u001b[0m\n", + "\u001b[91m5: Guess: $262.18 Truth: $116.94 Error: $145.24 SLE: 0.64 Item: 1 3/4\" Smooth A153-D HOT DIP Coil Roofin...\u001b[0m\n", + "\u001b[91m6: Guess: $262.18 Truth: $666.30 Error: $404.12 SLE: 0.87 Item: TOTO TLG02307U#CP Single Handle Vessel B...\u001b[0m\n", + "\u001b[91m7: Guess: $262.18 Truth: $191.99 Error: $70.19 SLE: 0.10 Item: DELSEY Paris Chatelet 2.0 Weekender Trav...\u001b[0m\n", + "\u001b[92m8: Guess: $262.18 Truth: $243.53 Error: $18.65 SLE: 0.01 Item: Yellow Jacket 46010 Brute II 4-Valve Man...\u001b[0m\n", + "\u001b[91m9: Guess: $262.18 Truth: $89.64 Error: $172.54 SLE: 1.14 Item: éS Stylus Mid\u001b[0m\n", + "\u001b[91m10: Guess: $262.18 Truth: $458.56 Error: $196.38 SLE: 0.31 Item: Lokar ATS6727BN Nostalgia Black 16\" Auto...\u001b[0m\n", + "\u001b[91m11: Guess: $262.18 Truth: $399.00 Error: $136.82 SLE: 0.18 Item: T654DN Mono Laser Printer\u001b[0m\n", + "\u001b[91m12: Guess: $262.18 Truth: $5.48 Error: $256.70 SLE: 13.72 Item: Orbit 54492 Plastic Shrub Adapter, Pack ...\u001b[0m\n", + "\u001b[91m13: Guess: $262.18 Truth: $350.00 Error: $87.82 SLE: 0.08 Item: Fabulous-Furs Donna Salyers Faux-Fur Thr...\u001b[0m\n", + "\u001b[91m14: Guess: $262.18 Truth: $316.00 Error: $53.82 SLE: 0.03 Item: Waterford Lismore 6.5\" Large Clock\u001b[0m\n", + "\u001b[91m15: Guess: $262.18 Truth: $37.95 Error: $224.23 SLE: 3.65 Item: WORLDS BEST CABLES 6 Foot RCA Cable Pair...\u001b[0m\n", + "\u001b[91m16: Guess: $262.18 Truth: $78.97 Error: $183.21 SLE: 1.42 Item: Design Toscano KY50094 Lion and Lioness ...\u001b[0m\n", + "\u001b[91m17: Guess: $262.18 Truth: $512.00 Error: $249.82 SLE: 0.45 Item: CGOLDENWALL New Automatic Seeds Counter ...\u001b[0m\n", + "\u001b[91m18: Guess: $262.18 Truth: $445.31 Error: $183.13 SLE: 0.28 Item: Metabo HPT Coil Siding Nailer, Siding Na...\u001b[0m\n", + "\u001b[91m19: Guess: $262.18 Truth: $72.62 Error: $189.56 SLE: 1.62 Item: Allied Brass RD-72/36-ORB 36-Inch Double...\u001b[0m\n", + "\u001b[91m20: Guess: $262.18 Truth: $846.33 Error: $584.15 SLE: 1.37 Item: Arnott C-2518 Coil Spring Conversion Kit\u001b[0m\n", + "\u001b[91m21: Guess: $262.18 Truth: $210.00 Error: $52.18 SLE: 0.05 Item: Columbia Men's Patrol Parka\u001b[0m\n", + "\u001b[91m22: Guess: $262.18 Truth: $75.00 Error: $187.18 SLE: 1.54 Item: SRW Laboratories Skl¹ Mobility | Joint S...\u001b[0m\n", + "\u001b[91m23: Guess: $262.18 Truth: $163.99 Error: $98.19 SLE: 0.22 Item: SHA CERLIN Queen Size Bed Frame with Woo...\u001b[0m\n", + "\u001b[91m24: Guess: $262.18 Truth: $200.95 Error: $61.23 SLE: 0.07 Item: AmGood 18\" x 30\" Stainless Steel Work Ta...\u001b[0m\n", + "\u001b[91m25: Guess: $262.18 Truth: $172.32 Error: $89.86 SLE: 0.17 Item: Detroit Axle - Brake Kit for 2005 Subaru...\u001b[0m\n", + "\u001b[91m26: Guess: $262.18 Truth: $56.99 Error: $205.19 SLE: 2.29 Item: XCCOCO Hair Dark Brown Straight Lace Clo...\u001b[0m\n", + "\u001b[91m27: Guess: $262.18 Truth: $56.27 Error: $205.91 SLE: 2.33 Item: DEWALT Accessory Socket Set, 15-Piece (D...\u001b[0m\n", + "\u001b[91m28: Guess: $262.18 Truth: $699.99 Error: $437.81 SLE: 0.96 Item: ExpertPower 3000W Pure Sine Wave Inverte...\u001b[0m\n", + "\u001b[91m29: Guess: $262.18 Truth: $49.00 Error: $213.18 SLE: 2.76 Item: High Grade Multi-Coated, Multi-Threaded,...\u001b[0m\n", + "\u001b[91m30: Guess: $262.18 Truth: $210.00 Error: $52.18 SLE: 0.05 Item: CHOW SANG SANG 999 24K Solid Gold Monkey...\u001b[0m\n", + "\u001b[91m31: Guess: $262.18 Truth: $125.67 Error: $136.51 SLE: 0.53 Item: BUD Industries NBA-10172 Style A Plastic...\u001b[0m\n", + "\u001b[91m32: Guess: $262.18 Truth: $38.97 Error: $223.21 SLE: 3.55 Item: Healthycell Focus + Recall, Brain Boost ...\u001b[0m\n", + "\u001b[92m33: Guess: $262.18 Truth: $269.99 Error: $7.81 SLE: 0.00 Item: Outdoor Storage Shed 6 x 4 Feet Utility ...\u001b[0m\n", + "\u001b[91m34: Guess: $262.18 Truth: $72.98 Error: $189.20 SLE: 1.61 Item: 2\" Boring Head R8 Shank Holder Boring He...\u001b[0m\n", + "\u001b[91m35: Guess: $262.18 Truth: $562.49 Error: $300.31 SLE: 0.58 Item: FMF Factory 4.1 RCT Slip-On Exhaust (Blu...\u001b[0m\n", + "\u001b[93m36: Guess: $262.18 Truth: $232.72 Error: $29.46 SLE: 0.01 Item: R&L Racing Black Heavy Duty Bull Bar Bru...\u001b[0m\n", + "\u001b[91m37: Guess: $262.18 Truth: $65.99 Error: $196.19 SLE: 1.87 Item: DOGENKE 26 PCS Alphabet Lore Plush Toy,P...\u001b[0m\n", + "\u001b[91m38: Guess: $262.18 Truth: $188.23 Error: $73.95 SLE: 0.11 Item: Cubitron II Scotch-Brite EXL Unitized Wh...\u001b[0m\n", + "\u001b[91m39: Guess: $262.18 Truth: $569.24 Error: $307.06 SLE: 0.60 Item: Zuri Furniture Gates Genuine Leather Alu...\u001b[0m\n", + "\u001b[91m40: Guess: $262.18 Truth: $4.99 Error: $257.19 SLE: 14.31 Item: Anjusok Camera Protective Lens Screen Pr...\u001b[0m\n", + "\u001b[91m41: Guess: $262.18 Truth: $5.94 Error: $256.24 SLE: 13.22 Item: 3M Mounting Tape, 03410, 1/2 in x 75 in\u001b[0m\n", + "\u001b[92m42: Guess: $262.18 Truth: $246.99 Error: $15.19 SLE: 0.00 Item: Power Stop KOE8268 Autospecialty Front a...\u001b[0m\n", + "\u001b[91m43: Guess: $262.18 Truth: $521.47 Error: $259.29 SLE: 0.47 Item: Corning PC-220 Hot Plate/Stirrer, 110V/6...\u001b[0m\n", + "\u001b[91m44: Guess: $262.18 Truth: $303.57 Error: $41.39 SLE: 0.02 Item: Detroit Axle - Brake Kit for 2010 2011 F...\u001b[0m\n", + "\u001b[91m45: Guess: $262.18 Truth: $124.45 Error: $137.73 SLE: 0.55 Item: ICE CARATS 10k Yellow Gold Citrine Birth...\u001b[0m\n", + "\u001b[91m46: Guess: $262.18 Truth: $379.99 Error: $117.81 SLE: 0.14 Item: WAVESTORM 8ft Junior Stand Up Paddleboar...\u001b[0m\n", + "\u001b[91m47: Guess: $262.18 Truth: $73.21 Error: $188.97 SLE: 1.60 Item: Pelz Golf DP4011 Truth Putting Board, 3'...\u001b[0m\n", + "\u001b[91m48: Guess: $262.18 Truth: $42.99 Error: $219.19 SLE: 3.20 Item: ScudoPro Nicaragua Flag Short Sleeve Cyc...\u001b[0m\n", + "\u001b[92m49: Guess: $262.18 Truth: $269.00 Error: $6.82 SLE: 0.00 Item: SUMBIN Commercial Heavy Duty Mortise Loc...\u001b[0m\n", + "\u001b[91m50: Guess: $262.18 Truth: $116.90 Error: $145.28 SLE: 0.64 Item: Ore International LB-1713 LB-1713 Plant ...\u001b[0m\n", + "\u001b[91m51: Guess: $262.18 Truth: $0.82 Error: $261.36 SLE: 24.74 Item: Fashion Bracelet Necklaces for Women Men...\u001b[0m\n", + "\u001b[91m52: Guess: $262.18 Truth: $52.12 Error: $210.06 SLE: 2.56 Item: FoxFarm Fox Farm FX14071 1-Gallon Bushdo...\u001b[0m\n", + "\u001b[91m53: Guess: $262.18 Truth: $598.12 Error: $335.94 SLE: 0.68 Item: KOHLER 26293-BL Statement 12 Inch Single...\u001b[0m\n", + "\u001b[91m54: Guess: $262.18 Truth: $49.95 Error: $212.23 SLE: 2.70 Item: Seeking Health Optimal Prenatal Powder, ...\u001b[0m\n", + "\u001b[91m55: Guess: $262.18 Truth: $469.99 Error: $207.81 SLE: 0.34 Item: Covercraft Custom Fit Car Cover for Ford...\u001b[0m\n", + "\u001b[93m56: Guess: $262.18 Truth: $237.47 Error: $24.71 SLE: 0.01 Item: AlphaRex (650020) 09-14 Ford F-150 (Excl...\u001b[0m\n", + "\u001b[91m57: Guess: $262.18 Truth: $127.88 Error: $134.30 SLE: 0.51 Item: Marmot Ironwood 30 degree Down Lightweig...\u001b[0m\n", + "\u001b[91m58: Guess: $262.18 Truth: $859.00 Error: $596.82 SLE: 1.40 Item: HP 17.3\" IPS Laptop, Intel Iris Xe Graph...\u001b[0m\n", + "\u001b[91m59: Guess: $262.18 Truth: $580.95 Error: $318.77 SLE: 0.63 Item: Gibson 65510 Super Truck Stainless Dual ...\u001b[0m\n", + "\u001b[91m60: Guess: $262.18 Truth: $684.18 Error: $422.00 SLE: 0.92 Item: August Schwer Cuckoo Clock Owl, Bird, Ne...\u001b[0m\n", + "\u001b[91m61: Guess: $262.18 Truth: $167.39 Error: $94.79 SLE: 0.20 Item: SMARTLINER Custom Fit 3 Row Liner Set Co...\u001b[0m\n", + "\u001b[91m62: Guess: $262.18 Truth: $418.00 Error: $155.82 SLE: 0.22 Item: Alexander Taron Importer 0-463 Christian...\u001b[0m\n", + "\u001b[91m63: Guess: $262.18 Truth: $217.00 Error: $45.18 SLE: 0.04 Item: Signature Design by Ashley Visola Outdoo...\u001b[0m\n", + "\u001b[91m64: Guess: $262.18 Truth: $28.95 Error: $233.23 SLE: 4.72 Item: ToBeInStyle Women's Long Sleeve Zip-Up a...\u001b[0m\n", + "\u001b[91m65: Guess: $262.18 Truth: $90.66 Error: $171.52 SLE: 1.11 Item: Renzexs 1620634 Storage Tray with Charge...\u001b[0m\n", + "\u001b[91m66: Guess: $262.18 Truth: $456.28 Error: $194.10 SLE: 0.31 Item: Pavement Ends by Bestop 51148-15 Black D...\u001b[0m\n", + "\u001b[91m67: Guess: $262.18 Truth: $489.99 Error: $227.81 SLE: 0.39 Item: ASUS 2022 VivoBook 15 15.6\" FHD Touchscr...\u001b[0m\n", + "\u001b[91m68: Guess: $262.18 Truth: $203.99 Error: $58.19 SLE: 0.06 Item: Continental PureContact LS All_Season Ra...\u001b[0m\n", + "\u001b[91m69: Guess: $262.18 Truth: $45.99 Error: $216.19 SLE: 2.97 Item: Tractor Mirror Head 5126233 Fits Fiat 66...\u001b[0m\n", + "\u001b[91m70: Guess: $262.18 Truth: $136.99 Error: $125.19 SLE: 0.42 Item: The ROP Shop Compatible Power Pressure W...\u001b[0m\n", + "\u001b[91m71: Guess: $262.18 Truth: $196.99 Error: $65.19 SLE: 0.08 Item: ZUIBESCHOS Chunky Knit Blanket Soft Warm...\u001b[0m\n", + "\u001b[91m72: Guess: $262.18 Truth: $468.98 Error: $206.80 SLE: 0.34 Item: Acer Aspire 5 15.6\" FHD Intel i3-7100U 2...\u001b[0m\n", + "\u001b[91m73: Guess: $262.18 Truth: $50.99 Error: $211.19 SLE: 2.63 Item: PROYA Skincare Collagen Peptides Face Mo...\u001b[0m\n", + "\u001b[91m74: Guess: $262.18 Truth: $149.88 Error: $112.30 SLE: 0.31 Item: Antiqued Eagle Head Ring, Sterling Silve...\u001b[0m\n", + "\u001b[91m75: Guess: $262.18 Truth: $86.97 Error: $175.21 SLE: 1.20 Item: Hitachi 13367 2-1/4-Inch x 0.092-Inch Fu...\u001b[0m\n", + "\u001b[91m76: Guess: $262.18 Truth: $164.99 Error: $97.19 SLE: 0.21 Item: Kelly Kettle Ultimate Scout Kit 41 oz. S...\u001b[0m\n", + "\u001b[91m77: Guess: $262.18 Truth: $459.00 Error: $196.82 SLE: 0.31 Item: Saddlemen Step-Up LS 806-04-172\u001b[0m\n", + "\u001b[91m78: Guess: $262.18 Truth: $72.99 Error: $189.19 SLE: 1.61 Item: GYMAX Tanning Chair, Beach Lounge Chair ...\u001b[0m\n", + "\u001b[91m79: Guess: $262.18 Truth: $549.00 Error: $286.82 SLE: 0.54 Item: Enginetech AFM DOD Remove KIT Compatible...\u001b[0m\n", + "\u001b[91m80: Guess: $262.18 Truth: $110.69 Error: $151.49 SLE: 0.73 Item: MELLCOM Wood Wall Storage Cabinet with T...\u001b[0m\n", + "\u001b[93m81: Guess: $262.18 Truth: $236.15 Error: $26.03 SLE: 0.01 Item: Rear Air Suspension Shock Struts Compati...\u001b[0m\n", + "\u001b[91m82: Guess: $262.18 Truth: $1.43 Error: $260.75 SLE: 21.95 Item: Zoo Med Laboratories AZMBB8 Pleco Banque...\u001b[0m\n", + "\u001b[92m83: Guess: $262.18 Truth: $255.00 Error: $7.18 SLE: 0.00 Item: Cubii JR1 Bundles, Under Desk Elliptical...\u001b[0m\n", + "\u001b[92m84: Guess: $262.18 Truth: $245.48 Error: $16.70 SLE: 0.00 Item: Parco Scientific 50-CXTT Trinocular Comp...\u001b[0m\n", + "\u001b[91m85: Guess: $262.18 Truth: $87.48 Error: $174.70 SLE: 1.19 Item: Sera O-nip Nature 3.1 lb.\u001b[0m\n", + "\u001b[91m86: Guess: $262.18 Truth: $67.96 Error: $194.22 SLE: 1.79 Item: ESP 66\" Sportsman Expedition Sled - Incl...\u001b[0m\n", + "\u001b[91m87: Guess: $262.18 Truth: $8.99 Error: $253.19 SLE: 10.70 Item: IMPRESA [2-Pack] Drill Dust Collector fo...\u001b[0m\n", + "\u001b[92m88: Guess: $262.18 Truth: $257.44 Error: $4.74 SLE: 0.00 Item: For Mercedes Benz Sprinter 2500 3500 Hea...\u001b[0m\n", + "\u001b[91m89: Guess: $262.18 Truth: $419.29 Error: $157.11 SLE: 0.22 Item: Abbey Avenue Millie Accent Chair in in, ...\u001b[0m\n", + "\u001b[91m90: Guess: $262.18 Truth: $55.00 Error: $207.18 SLE: 2.39 Item: Artist Unknown 1.2m 4ft Compatible with ...\u001b[0m\n", + "\u001b[91m91: Guess: $262.18 Truth: $25.75 Error: $236.43 SLE: 5.23 Item: Cash Acme 22397-0000LF VR-801 Vacuum Rel...\u001b[0m\n", + "\u001b[91m92: Guess: $262.18 Truth: $26.59 Error: $235.59 SLE: 5.09 Item: A-Premium Power Steering Pressure Line H...\u001b[0m\n", + "\u001b[91m93: Guess: $262.18 Truth: $912.99 Error: $650.81 SLE: 1.55 Item: Bandai Tamashii Nations Saint Cloth Myth...\u001b[0m\n", + "\u001b[91m94: Guess: $262.18 Truth: $529.99 Error: $267.81 SLE: 0.49 Item: YITAHOME Electric Power Lift Recliner Ch...\u001b[0m\n", + "\u001b[91m95: Guess: $262.18 Truth: $188.38 Error: $73.80 SLE: 0.11 Item: Front Buckets Seats, CalTrend DuraPlus S...\u001b[0m\n", + "\u001b[92m96: Guess: $262.18 Truth: $275.95 Error: $13.77 SLE: 0.00 Item: Arctic Cat 2004-2009 Atv 500 Auto Trans ...\u001b[0m\n", + "\u001b[91m97: Guess: $262.18 Truth: $349.99 Error: $87.81 SLE: 0.08 Item: Dell Inspiron i5547-15001sLV 15.6-Inch T...\u001b[0m\n", + "\u001b[91m98: Guess: $262.18 Truth: $71.99 Error: $190.19 SLE: 1.64 Item: Deconovo Table Cloth Pad 1.5mm Thick 42 ...\u001b[0m\n", + "\u001b[91m99: Guess: $262.18 Truth: $360.99 Error: $98.81 SLE: 0.10 Item: MBI AUTO - Painted to Match, Front Bumpe...\u001b[0m\n", + "\u001b[91m100: Guess: $262.18 Truth: $332.00 Error: $69.82 SLE: 0.06 Item: Rhino-Rack Roof Rack Compatible with Jee...\u001b[0m\n", + "\u001b[91m101: Guess: $262.18 Truth: $184.59 Error: $77.59 SLE: 0.12 Item: NAHANCO K30 Three Roll Poly Bag Dispense...\u001b[0m\n", + "\u001b[91m102: Guess: $262.18 Truth: $154.95 Error: $107.23 SLE: 0.27 Item: Naot Footwear Women's Cymbal Sandal\u001b[0m\n", + "\u001b[91m103: Guess: $262.18 Truth: $177.09 Error: $85.09 SLE: 0.15 Item: CST CSE-C16-3 Coil Spring Spacer (3\" s -...\u001b[0m\n", + "\u001b[91m104: Guess: $262.18 Truth: $147.48 Error: $114.70 SLE: 0.33 Item: 3M Automotive Refinish Masking Tape, 066...\u001b[0m\n", + "\u001b[93m105: Guess: $262.18 Truth: $283.50 Error: $21.32 SLE: 0.01 Item: Howard Elliott Collection Carlton Oval M...\u001b[0m\n", + "\u001b[91m106: Guess: $262.18 Truth: $115.99 Error: $146.19 SLE: 0.66 Item: Saint Seiya Saint Cloth Myth New Cygnus\u001b[0m\n", + "\u001b[93m107: Guess: $262.18 Truth: $236.98 Error: $25.20 SLE: 0.01 Item: Evonavi |2GB+32GB| Car Radio for Jeep Wr...\u001b[0m\n", + "\u001b[91m108: Guess: $262.18 Truth: $118.78 Error: $143.40 SLE: 0.62 Item: Dorman 602-508AS Windshield Wiper Motor ...\u001b[0m\n", + "\u001b[91m109: Guess: $262.18 Truth: $217.75 Error: $44.43 SLE: 0.03 Item: WEN LA3421 3.2-Amp 8-Inch by 13-Inch Var...\u001b[0m\n", + "\u001b[91m110: Guess: $262.18 Truth: $319.00 Error: $56.82 SLE: 0.04 Item: Universal Audio UAFX Golden Reverb Pedal\u001b[0m\n", + "\u001b[91m111: Guess: $262.18 Truth: $34.99 Error: $227.19 SLE: 3.96 Item: Luxe Fur Throw Pillows for Couch and Bed...\u001b[0m\n", + "\u001b[91m112: Guess: $262.18 Truth: $195.99 Error: $66.19 SLE: 0.08 Item: Dheridy 180% Density 13x6 30 Inch 613 La...\u001b[0m\n", + "\u001b[91m113: Guess: $262.18 Truth: $575.07 Error: $312.89 SLE: 0.61 Item: ASUS ROG Swift 360Hz PG259QN 24.5” HDR G...\u001b[0m\n", + "\u001b[91m114: Guess: $262.18 Truth: $489.95 Error: $227.77 SLE: 0.39 Item: Rough Country 3\" Lift Kit w/N3 Shocks fo...\u001b[0m\n", + "\u001b[91m115: Guess: $262.18 Truth: $430.89 Error: $168.71 SLE: 0.25 Item: Le Pera Cobra Pleated Seat LK-079PT\u001b[0m\n", + "\u001b[92m116: Guess: $262.18 Truth: $255.99 Error: $6.19 SLE: 0.00 Item: ACANII - For Blk 1999-2004 Jeep Grand Ch...\u001b[0m\n", + "\u001b[91m117: Guess: $262.18 Truth: $700.00 Error: $437.82 SLE: 0.96 Item: Apple MacBook Pro MGXA2LL/A 15-Inch Lapt...\u001b[0m\n", + "\u001b[91m118: Guess: $262.18 Truth: $50.99 Error: $211.19 SLE: 2.63 Item: IDIFU Women's IN2 Pedazo Dress Shoes Low...\u001b[0m\n", + "\u001b[91m119: Guess: $262.18 Truth: $708.00 Error: $445.82 SLE: 0.98 Item: Extreme Dimensions Compatible with 2018-...\u001b[0m\n", + "\u001b[91m120: Guess: $262.18 Truth: $2.49 Error: $259.69 SLE: 18.69 Item: Pink Banana Jumbo Winter Squash Garden S...\u001b[0m\n", + "\u001b[91m121: Guess: $262.18 Truth: $367.95 Error: $105.77 SLE: 0.11 Item: Pelican 1610 Case With Padded Dividers (...\u001b[0m\n", + "\u001b[91m122: Guess: $262.18 Truth: $178.61 Error: $83.57 SLE: 0.15 Item: Fluke 80PK-3A Surface Probe\u001b[0m\n", + "\u001b[92m123: Guess: $262.18 Truth: $277.54 Error: $15.36 SLE: 0.00 Item: WECO Tiny Compact Undersink Reverse Osmo...\u001b[0m\n", + "\u001b[92m124: Guess: $262.18 Truth: $252.99 Error: $9.19 SLE: 0.00 Item: Magic The Gathering - MTG: Mirrodin Besi...\u001b[0m\n", + "\u001b[91m125: Guess: $262.18 Truth: $201.98 Error: $60.20 SLE: 0.07 Item: Pair of 2 SunF Warrior AT 25x10-12 ATV U...\u001b[0m\n", + "\u001b[91m126: Guess: $262.18 Truth: $566.50 Error: $304.32 SLE: 0.59 Item: Nike Mens Air Jordan 6 Retro Low Seahawk...\u001b[0m\n", + "\u001b[91m127: Guess: $262.18 Truth: $152.00 Error: $110.18 SLE: 0.29 Item: Millennium Chess Genius Pro Electronic C...\u001b[0m\n", + "\u001b[91m128: Guess: $262.18 Truth: $811.14 Error: $548.96 SLE: 1.27 Item: Fabtech FTS21061BK Suspension Lift Kit C...\u001b[0m\n", + "\u001b[93m129: Guess: $262.18 Truth: $299.99 Error: $37.81 SLE: 0.02 Item: Ibanez Performance Series PF28ECE Acoust...\u001b[0m\n", + "\u001b[91m130: Guess: $262.18 Truth: $220.75 Error: $41.43 SLE: 0.03 Item: Schaeffler LuK RepSet 03-063 Clutch Kit,...\u001b[0m\n", + "\u001b[91m131: Guess: $262.18 Truth: $50.79 Error: $211.39 SLE: 2.64 Item: Primos Hunting Jackpot Slate Turkey Hunt...\u001b[0m\n", + "\u001b[91m132: Guess: $262.18 Truth: $429.95 Error: $167.77 SLE: 0.24 Item: BedRug ILT19CCK Impact Bed Liner For Use...\u001b[0m\n", + "\u001b[91m133: Guess: $262.18 Truth: $42.00 Error: $220.18 SLE: 3.28 Item: VAST Soft Bucket Hat, Reversible, Cool B...\u001b[0m\n", + "\u001b[92m134: Guess: $262.18 Truth: $251.19 Error: $10.99 SLE: 0.00 Item: Fine Fixtures LUXURY VESSEL OVAL 20 X 15...\u001b[0m\n", + "\u001b[91m135: Guess: $262.18 Truth: $206.49 Error: $55.69 SLE: 0.06 Item: Kohler K-6235-NA, 4.00 x 12.63 x 18.69 i...\u001b[0m\n", + "\u001b[93m136: Guess: $262.18 Truth: $227.99 Error: $34.19 SLE: 0.02 Item: Power Stop EBR1453XPR Rear Evolution Dri...\u001b[0m\n", + "\u001b[91m137: Guess: $262.18 Truth: $419.90 Error: $157.72 SLE: 0.22 Item: Lenovo ThinkPad P50 Workstation Laptop -...\u001b[0m\n", + "\u001b[91m138: Guess: $262.18 Truth: $147.26 Error: $114.92 SLE: 0.33 Item: Thrashin Supply 1\" Handlebar (Mid-Bend) ...\u001b[0m\n", + "\u001b[91m139: Guess: $262.18 Truth: $429.00 Error: $166.82 SLE: 0.24 Item: HP - Pavilion x360 2-in-1 11.6\" Touch-Sc...\u001b[0m\n", + "\u001b[91m140: Guess: $262.18 Truth: $359.99 Error: $97.81 SLE: 0.10 Item: Airmax ClearPAC Plus Complete Pond Care ...\u001b[0m\n", + "\u001b[91m141: Guess: $262.18 Truth: $78.00 Error: $184.18 SLE: 1.45 Item: Werner 55-1 Attic Ladder Replacement Hin...\u001b[0m\n", + "\u001b[92m142: Guess: $262.18 Truth: $279.00 Error: $16.82 SLE: 0.00 Item: CoolingSky 3 Row Core Aluminum Radiator ...\u001b[0m\n", + "\u001b[91m143: Guess: $262.18 Truth: $214.97 Error: $47.21 SLE: 0.04 Item: AMD FX 8-Core Black Edition FX-8350 Proc...\u001b[0m\n", + "\u001b[91m144: Guess: $262.18 Truth: $509.99 Error: $247.81 SLE: 0.44 Item: Sole Designs Marie Collection Modern Uph...\u001b[0m\n", + "\u001b[91m145: Guess: $262.18 Truth: $899.99 Error: $637.81 SLE: 1.51 Item: Tama Drum Set (IE52CCPM)\u001b[0m\n", + "\u001b[91m146: Guess: $262.18 Truth: $135.99 Error: $126.19 SLE: 0.43 Item: Wall or 9ft Ceiling Mount Pull Up Bar by...\u001b[0m\n", + "\u001b[91m147: Guess: $262.18 Truth: $176.50 Error: $85.68 SLE: 0.16 Item: Delta -faucet 59799-CZ-PR-PK Universal S...\u001b[0m\n", + "\u001b[91m148: Guess: $262.18 Truth: $617.37 Error: $355.19 SLE: 0.73 Item: New Generation 05-101-SR100 Premium Clut...\u001b[0m\n", + "\u001b[91m149: Guess: $262.18 Truth: $79.99 Error: $182.19 SLE: 1.39 Item: Samsung HLT7288W Rear Projector TV Assem...\u001b[0m\n", + "\u001b[91m150: Guess: $262.18 Truth: $136.99 Error: $125.19 SLE: 0.42 Item: 2xhome EMRocker(Black) Rocking Chair\u001b[0m\n", + "\u001b[91m151: Guess: $262.18 Truth: $72.53 Error: $189.65 SLE: 1.63 Item: FOOTMASTER GDR-80S Nylon Wheel and NBR P...\u001b[0m\n", + "\u001b[91m152: Guess: $262.18 Truth: $589.99 Error: $327.81 SLE: 0.65 Item: MBRP S5259409 4\" Cat Back, Single Exhaus...\u001b[0m\n", + "\u001b[91m153: Guess: $262.18 Truth: $69.99 Error: $192.19 SLE: 1.72 Item: MaxAuto 11x4.00-5\" Flat Free Zero Turn M...\u001b[0m\n", + "\u001b[91m154: Guess: $262.18 Truth: $469.99 Error: $207.81 SLE: 0.34 Item: Delta Faucet 5-Spray Slide Bar Hand Held...\u001b[0m\n", + "\u001b[91m155: Guess: $262.18 Truth: $152.31 Error: $109.87 SLE: 0.29 Item: GEARWRENCH 9 Pc. 12 Pt. XL X-Beam Flex H...\u001b[0m\n", + "\u001b[91m156: Guess: $262.18 Truth: $32.99 Error: $229.19 SLE: 4.19 Item: CLUCI Shoulder Bag,Purses for Women Dump...\u001b[0m\n", + "\u001b[93m157: Guess: $262.18 Truth: $225.88 Error: $36.30 SLE: 0.02 Item: Woodbridge Lighting 13424STN-M10IRI 3-Li...\u001b[0m\n", + "\u001b[91m158: Guess: $262.18 Truth: $815.05 Error: $552.87 SLE: 1.28 Item: Apple MacBook Pro 15\" Retina Core i7 2.7...\u001b[0m\n", + "\u001b[91m159: Guess: $262.18 Truth: $74.99 Error: $187.19 SLE: 1.54 Item: Meike 25mm F1.8 Large Aperture Wide Angl...\u001b[0m\n", + "\u001b[91m160: Guess: $262.18 Truth: $52.99 Error: $209.19 SLE: 2.51 Item: Gorsenia K357 Women's Blanca Floral Lace...\u001b[0m\n", + "\u001b[91m161: Guess: $262.18 Truth: $519.99 Error: $257.81 SLE: 0.47 Item: TCMT 13.7\" King Tour Pack Trunk Backrest...\u001b[0m\n", + "\u001b[93m162: Guess: $262.18 Truth: $299.00 Error: $36.82 SLE: 0.02 Item: Rockin' Wood Extra Wide Real Wood Nail U...\u001b[0m\n", + "\u001b[91m163: Guess: $262.18 Truth: $147.36 Error: $114.82 SLE: 0.33 Item: A.O. Smith 5 5/8 Inch Diameter Motor 208...\u001b[0m\n", + "\u001b[91m164: Guess: $262.18 Truth: $356.99 Error: $94.81 SLE: 0.09 Item: Toshiba 17.3-Inch HD Laptop PC (Intel Co...\u001b[0m\n", + "\u001b[91m165: Guess: $262.18 Truth: $159.03 Error: $103.15 SLE: 0.25 Item: Davis & Sanford TR654C-36 Traverse Carbo...\u001b[0m\n", + "\u001b[91m166: Guess: $262.18 Truth: $159.99 Error: $102.19 SLE: 0.24 Item: JYLH JOYSEEKER Mobile Standing Desk, 28 ...\u001b[0m\n", + "\u001b[91m167: Guess: $262.18 Truth: $599.00 Error: $336.82 SLE: 0.68 Item: illy X1 Espresso Machine, 13 x 9.8 x 10....\u001b[0m\n", + "\u001b[91m168: Guess: $262.18 Truth: $176.79 Error: $85.39 SLE: 0.15 Item: SAFAVIEH Aspen Collection 7' Round Light...\u001b[0m\n", + "\u001b[91m169: Guess: $262.18 Truth: $91.77 Error: $170.41 SLE: 1.09 Item: Stealth Cam STC-E28 7.0 Megapixel Digita...\u001b[0m\n", + "\u001b[91m170: Guess: $262.18 Truth: $323.89 Error: $61.71 SLE: 0.04 Item: HONLM7236PNC - HON Foundation Desk Shell...\u001b[0m\n", + "\u001b[91m171: Guess: $262.18 Truth: $382.93 Error: $120.75 SLE: 0.14 Item: ABCCANOPY Patio Pop Up Canopy Tent with ...\u001b[0m\n", + "\u001b[91m172: Guess: $262.18 Truth: $153.95 Error: $108.23 SLE: 0.28 Item: Cosmas 25 Pack 702-4ORB Oil Rubbed Bronz...\u001b[0m\n", + "\u001b[91m173: Guess: $262.18 Truth: $317.73 Error: $55.55 SLE: 0.04 Item: AirDog (R3SBD100) Raptor Lift Pump\u001b[0m\n", + "\u001b[91m174: Guess: $262.18 Truth: $191.99 Error: $70.19 SLE: 0.10 Item: Petra ULV500 Hypochlorous Acid 500PPM (4...\u001b[0m\n", + "\u001b[91m175: Guess: $262.18 Truth: $352.70 Error: $90.52 SLE: 0.09 Item: GM Genuine Parts 172-2522 Yellow Front P...\u001b[0m\n", + "\u001b[91m176: Guess: $262.18 Truth: $32.99 Error: $229.19 SLE: 4.19 Item: WEIXUERO Women Gold Leather Belts Sparkl...\u001b[0m\n", + "\u001b[91m177: Guess: $262.18 Truth: $114.04 Error: $148.14 SLE: 0.68 Item: Reebok Women's Fusion Flexweave Safety T...\u001b[0m\n", + "\u001b[91m178: Guess: $262.18 Truth: $113.00 Error: $149.18 SLE: 0.70 Item: Tonerider TRS4-SET Guitar Pickup Set\u001b[0m\n", + "\u001b[91m179: Guess: $262.18 Truth: $76.99 Error: $185.19 SLE: 1.48 Item: SVBONY SV132 Telescope Filter, 2 inches ...\u001b[0m\n", + "\u001b[91m180: Guess: $262.18 Truth: $399.67 Error: $137.49 SLE: 0.18 Item: Trans Globe Lighting TG4719 BRZ Traditio...\u001b[0m\n", + "\u001b[91m181: Guess: $262.18 Truth: $90.54 Error: $171.64 SLE: 1.12 Item: HP Elite Desktop Computer, Intel Core i5...\u001b[0m\n", + "\u001b[93m182: Guess: $262.18 Truth: $235.99 Error: $26.19 SLE: 0.01 Item: Bumble Bee Cable Protector - 5 Channel\u001b[0m\n", + "\u001b[91m183: Guess: $262.18 Truth: $428.73 Error: $166.55 SLE: 0.24 Item: Scotsman 12-2586-21 Pump Water\u001b[0m\n", + "\u001b[91m184: Guess: $262.18 Truth: $399.38 Error: $137.20 SLE: 0.18 Item: Fowler 54-100-024-1, Xtra-Range Digital ...\u001b[0m\n", + "\u001b[91m185: Guess: $262.18 Truth: $613.45 Error: $351.27 SLE: 0.72 Item: Armordillo USA 7168466 AR Pre-Runner Sty...\u001b[0m\n", + "\u001b[91m186: Guess: $262.18 Truth: $192.40 Error: $69.78 SLE: 0.09 Item: HP Z240 Workstation SFF Desktop PC, Inte...\u001b[0m\n", + "\u001b[91m187: Guess: $262.18 Truth: $549.00 Error: $286.82 SLE: 0.54 Item: Twotrees CNC Router Machine, 3-Axis CNC ...\u001b[0m\n", + "\u001b[91m188: Guess: $262.18 Truth: $372.82 Error: $110.64 SLE: 0.12 Item: MSI Gaming GeForce RTX 2060 6GB GDRR6 19...\u001b[0m\n", + "\u001b[91m189: Guess: $262.18 Truth: $742.00 Error: $479.82 SLE: 1.08 Item: Elinchrom Indirect Litemotiv Octa Softbo...\u001b[0m\n", + "\u001b[91m190: Guess: $262.18 Truth: $114.98 Error: $147.20 SLE: 0.67 Item: Vintage Foundry Co. Wilfred Men’s Fashio...\u001b[0m\n", + "\u001b[91m191: Guess: $262.18 Truth: $130.00 Error: $132.18 SLE: 0.49 Item: Jawa Fashion 10K Yellow Gold Men Women's...\u001b[0m\n", + "\u001b[91m192: Guess: $262.18 Truth: $64.99 Error: $197.19 SLE: 1.91 Item: Gourmia GCM6850 Automatic Digital Cold B...\u001b[0m\n", + "\u001b[92m193: Guess: $262.18 Truth: $243.34 Error: $18.84 SLE: 0.01 Item: Lenovo ThinkStation P300 Small Form Desk...\u001b[0m\n", + "\u001b[91m194: Guess: $262.18 Truth: $48.00 Error: $214.18 SLE: 2.83 Item: Speedo Men's Xtra Life Lycra Fractal Poi...\u001b[0m\n", + "\u001b[91m195: Guess: $262.18 Truth: $190.99 Error: $71.19 SLE: 0.10 Item: Valmont Professional Energy Ritual Prime...\u001b[0m\n", + "\u001b[91m196: Guess: $262.18 Truth: $143.64 Error: $118.54 SLE: 0.36 Item: Lucida Surfaces Luxury Vinyl Floor Tiles...\u001b[0m\n", + "\u001b[91m197: Guess: $262.18 Truth: $968.99 Error: $706.81 SLE: 1.70 Item: AmScope 7X-45X Black Trinocular Stereo Z...\u001b[0m\n", + "\u001b[91m198: Guess: $262.18 Truth: $17.99 Error: $244.19 SLE: 6.91 Item: Chen Miranda Great Dane Dog Double-Sided...\u001b[0m\n", + "\u001b[91m199: Guess: $262.18 Truth: $162.99 Error: $99.19 SLE: 0.22 Item: TOREAD CCP420 Pool Filter Replaces Penta...\u001b[0m\n", + "\u001b[91m200: Guess: $262.18 Truth: $135.99 Error: $126.19 SLE: 0.43 Item: 4K Night Vision Goggles, 4.5'' Large Scr...\u001b[0m\n", + "\u001b[91m201: Guess: $262.18 Truth: $829.00 Error: $566.82 SLE: 1.32 Item: Scubapro Seahawk2 BCD with Balanced Infl...\u001b[0m\n", + "\u001b[91m202: Guess: $262.18 Truth: $466.89 Error: $204.71 SLE: 0.33 Item: OSP Home Furnishings Country Meadows L-S...\u001b[0m\n", + "\u001b[91m203: Guess: $262.18 Truth: $729.99 Error: $467.81 SLE: 1.04 Item: Dell U4320Q 43 Inch 2160p 4K UltraSharp,...\u001b[0m\n", + "\u001b[91m204: Guess: $262.18 Truth: $56.00 Error: $206.18 SLE: 2.34 Item: SOUL Naturalizer Women's, Sing 2 Thong S...\u001b[0m\n", + "\u001b[93m205: Guess: $262.18 Truth: $234.95 Error: $27.23 SLE: 0.01 Item: Dakine D.100.4761.964.OS Concourse Hards...\u001b[0m\n", + "\u001b[91m206: Guess: $262.18 Truth: $119.99 Error: $142.19 SLE: 0.60 Item: Maxzzz 4 Inch Memory Foam Mattress Toppe...\u001b[0m\n", + "\u001b[91m207: Guess: $262.18 Truth: $329.95 Error: $67.77 SLE: 0.05 Item: Diamond2Deal Platinum 2mm Half-Round Wed...\u001b[0m\n", + "\u001b[92m208: Guess: $262.18 Truth: $244.99 Error: $17.19 SLE: 0.00 Item: Good Directions Blue Heron Weathervane, ...\u001b[0m\n", + "\u001b[91m209: Guess: $262.18 Truth: $650.00 Error: $387.82 SLE: 0.82 Item: DY'ON Anatomic Bridle, Brown\u001b[0m\n", + "\u001b[91m210: Guess: $262.18 Truth: $899.00 Error: $636.82 SLE: 1.51 Item: LifeYard 46\" Steel Square Picnic Table,E...\u001b[0m\n", + "\u001b[91m211: Guess: $262.18 Truth: $22.99 Error: $239.19 SLE: 5.74 Item: Women’s Corgi And Pizza Printed Zip Wall...\u001b[0m\n", + "\u001b[91m212: Guess: $262.18 Truth: $875.96 Error: $613.78 SLE: 1.45 Item: Power Stop KC2443-36 Front & Rear Z36 Tr...\u001b[0m\n", + "\u001b[91m213: Guess: $262.18 Truth: $328.37 Error: $66.19 SLE: 0.05 Item: Progressive Furniture Midori Counter Tab...\u001b[0m\n", + "\u001b[91m214: Guess: $262.18 Truth: $200.53 Error: $61.65 SLE: 0.07 Item: Genuine Hyundai 92101-1R010 Left-Hand He...\u001b[0m\n", + "\u001b[91m215: Guess: $262.18 Truth: $329.00 Error: $66.82 SLE: 0.05 Item: HP 2021 Chromebook 14 Inch FHD 1080P Lap...\u001b[0m\n", + "\u001b[91m216: Guess: $262.18 Truth: $146.93 Error: $115.25 SLE: 0.33 Item: Medi-Pak Performance Conforming Gauze Ba...\u001b[0m\n", + "\u001b[91m217: Guess: $262.18 Truth: $63.00 Error: $199.18 SLE: 2.00 Item: I Dig Crystals Angelite Bracelet Boutiqu...\u001b[0m\n", + "\u001b[91m218: Guess: $262.18 Truth: $357.00 Error: $94.82 SLE: 0.09 Item: Dell P2721Q 27 Inch 4K FHD, IP Ultra-Thi...\u001b[0m\n", + "\u001b[91m219: Guess: $262.18 Truth: $61.99 Error: $200.19 SLE: 2.04 Item: 20 Pc Set Pack Blu-MOL Xtreme Bi Metal R...\u001b[0m\n", + "\u001b[93m220: Guess: $262.18 Truth: $296.99 Error: $34.81 SLE: 0.02 Item: Twin Over Twin Bunk Beds with 2 Drawers ...\u001b[0m\n", + "\u001b[91m221: Guess: $262.18 Truth: $335.00 Error: $72.82 SLE: 0.06 Item: Drill Bit Sharpener Tormek DBS-22 - The ...\u001b[0m\n", + "\u001b[93m222: Guess: $262.18 Truth: $284.00 Error: $21.82 SLE: 0.01 Item: Lenovo ThinkServer 4GB DDR3L-1600MHz (1R...\u001b[0m\n", + "\u001b[91m223: Guess: $262.18 Truth: $770.99 Error: $508.81 SLE: 1.16 Item: Recessed Wall Ventless Bio Ethanol Firep...\u001b[0m\n", + "\u001b[91m224: Guess: $262.18 Truth: $350.41 Error: $88.23 SLE: 0.08 Item: Garage-Pro Rear Step Bumper Compatible w...\u001b[0m\n", + "\u001b[92m225: Guess: $262.18 Truth: $254.99 Error: $7.19 SLE: 0.00 Item: Dell 7050 SFF Desktop Intel i7-6700 UP t...\u001b[0m\n", + "\u001b[91m226: Guess: $262.18 Truth: $92.50 Error: $169.68 SLE: 1.07 Item: Barski - European Glass -Crystalline - V...\u001b[0m\n", + "\u001b[91m227: Guess: $262.18 Truth: $157.99 Error: $104.19 SLE: 0.25 Item: Lutema Platinum Bulb for JVC LX-WX50 Pro...\u001b[0m\n", + "\u001b[91m228: Guess: $262.18 Truth: $323.19 Error: $61.01 SLE: 0.04 Item: Outdoor Research Men's Skyward Jacket\u001b[0m\n", + "\u001b[91m229: Guess: $262.18 Truth: $123.19 Error: $138.99 SLE: 0.56 Item: Jensen Speaker, Green, 8-Inch (P8R8)\u001b[0m\n", + "\u001b[91m230: Guess: $262.18 Truth: $150.99 Error: $111.19 SLE: 0.30 Item: Peora Solid 14K White Gold Peridot and D...\u001b[0m\n", + "\u001b[91m231: Guess: $262.18 Truth: $17.99 Error: $244.19 SLE: 6.91 Item: FLNA Nail Kit Ingrown Toenail Clippers T...\u001b[0m\n", + "\u001b[91m232: Guess: $262.18 Truth: $160.00 Error: $102.18 SLE: 0.24 Item: J JINPEI Heated Thermal Underwear for Me...\u001b[0m\n", + "\u001b[91m233: Guess: $262.18 Truth: $120.89 Error: $141.29 SLE: 0.59 Item: Eureka Lightweight Powerful Upright Vacu...\u001b[0m\n", + "\u001b[91m234: Guess: $262.18 Truth: $900.00 Error: $637.82 SLE: 1.51 Item: Lexmark CX510DE Color Multifunction - Pr...\u001b[0m\n", + "\u001b[91m235: Guess: $262.18 Truth: $16.90 Error: $245.28 SLE: 7.23 Item: Vermont SKI Mountains Winter Sport Famil...\u001b[0m\n", + "\u001b[91m236: Guess: $262.18 Truth: $349.95 Error: $87.77 SLE: 0.08 Item: Rough Country 6\" Loaded N3 Lifted Struts...\u001b[0m\n", + "\u001b[91m237: Guess: $262.18 Truth: $45.99 Error: $216.19 SLE: 2.97 Item: Schwinn Thrasher Adult Lightweight Bike ...\u001b[0m\n", + "\u001b[91m238: Guess: $262.18 Truth: $92.15 Error: $170.03 SLE: 1.08 Item: Creative Co-Op Round Framed Decor with V...\u001b[0m\n", + "\u001b[92m239: Guess: $262.18 Truth: $279.00 Error: $16.82 SLE: 0.00 Item: 2TB NVME PCle Gen 5 (5x4) SSD E26 Speed ...\u001b[0m\n", + "\u001b[92m240: Guess: $262.18 Truth: $245.99 Error: $16.19 SLE: 0.00 Item: FEELWORLD LIVEPRO L1 4 x HDMI Inputs Mul...\u001b[0m\n", + "\u001b[91m241: Guess: $262.18 Truth: $609.98 Error: $347.80 SLE: 0.71 Item: GForce Portable Dual Motor 1500 Watt Who...\u001b[0m\n", + "\u001b[93m242: Guess: $262.18 Truth: $228.95 Error: $33.23 SLE: 0.02 Item: B&M 11314 Differential Cover\u001b[0m\n", + "\u001b[91m243: Guess: $262.18 Truth: $990.43 Error: $728.25 SLE: 1.76 Item: Minn Kota 1358733 PowerDrive Freshwater ...\u001b[0m\n", + "\u001b[91m244: Guess: $262.18 Truth: $536.50 Error: $274.32 SLE: 0.51 Item: Amazon Brand – Rivet Charlotte Mid-Centu...\u001b[0m\n", + "\u001b[93m245: Guess: $262.18 Truth: $225.00 Error: $37.18 SLE: 0.02 Item: Horse First Supplements RelaxMe\u001b[0m\n", + "\u001b[93m246: Guess: $262.18 Truth: $283.83 Error: $21.65 SLE: 0.01 Item: Sherman Replacement Part Compatible with...\u001b[0m\n", + "\u001b[91m247: Guess: $262.18 Truth: $464.89 Error: $202.71 SLE: 0.33 Item: Putco Pop Up Locker Rails Fits Chevy Sil...\u001b[0m\n", + "\u001b[93m248: Guess: $262.18 Truth: $291.99 Error: $29.81 SLE: 0.01 Item: Pertronix D131800 Flame-Thrower Plug and...\u001b[0m\n", + "\u001b[91m249: Guess: $262.18 Truth: $349.00 Error: $86.82 SLE: 0.08 Item: Powerblanket EH0304 Ground Thawing Blank...\u001b[0m\n", + "\u001b[91m250: Guess: $262.18 Truth: $209.99 Error: $52.19 SLE: 0.05 Item: PAOLFOX 4 Piece Patio Porch Furniture Se...\u001b[0m\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "runner = TestRunner(flat_predictor, test, \"Flat Predictor\").run()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9d3a5d83-d90b-40af-979f-85aa21816578", + "metadata": {}, + "outputs": [], + "source": [ + "human_predictions = []\n", + "with open('human.csv', 'r') as csvfile:\n", + " reader = csv.reader(csvfile)\n", + " for row in reader:\n", + " human_predictions.append(float(row[2]))\n", + "\n", + "def human_predictor(item):\n", + " index = test.index(item)\n", + " if index==-1:\n", + " raise ValueError(\"Index not found\")\n", + " return human_predictions[index]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6c87c385-d6b7-4a4f-89eb-f4e250337d03", + "metadata": {}, + "outputs": [], + "source": [ + "runner = TestRunner(human_predictor, test, \"Human Predictor\").run()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d6a6c4a5-e817-46b8-99d2-9c4ecf9c8685", + "metadata": {}, + "outputs": [], + "source": [ + "stop = set(['the', 'and', 'for', 'is', 'to', 'this', 'with', 'a', 'of', 'your', 'are', 'in','from', 'you', 'or', 'an', 'on', 'by'])\n", + "\n", + "def words(item):\n", + " text = f\"{item.title} {item.details}\"\n", + " text = re.sub(r'[\\(\\)\\[\\]\\{\\},\\'\"\\- \\s]+', ' ', text)\n", + " words = text.strip().lower().split(' ')\n", + " filtered = [word for word in words if word not in stop]\n", + " return \" \".join(filtered)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "56682e9c-46c9-48f2-baea-e943804290f6", + "metadata": {}, + "outputs": [], + "source": [ + "documents = [words(item) for item in train]\n", + "from collections import Counter\n", + "count = Counter()\n", + "for doc in documents:\n", + " ws = doc.split(\" \")\n", + " for w in ws:\n", + " count[w]+=1\n", + "count.most_common(30)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "262fc576-7606-426c-8aea-5799b3952d2c", + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.feature_extraction.text import CountVectorizer\n", + "from sklearn.linear_model import LinearRegression\n", + "import numpy as np\n", + "\n", + "np.random.seed(42)\n", + "\n", + "labels = np.array([float(item.price) for item in train])\n", + "\n", + "vectorizer = CountVectorizer()\n", + "X = vectorizer.fit_transform(documents)\n", + "\n", + "regressor = LinearRegression()\n", + "regressor.fit(X, labels)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bd782b21-8e44-409d-a7b6-f136974958b4", + "metadata": {}, + "outputs": [], + "source": [ + "def linear_regression_predictor(item):\n", + " np.random.seed(42)\n", + " x = vectorizer.transform([words(item)])\n", + " return max(regressor.predict(x)[0], 0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "80e77aae-0071-42e9-8e24-d3aec5256015", + "metadata": {}, + "outputs": [], + "source": [ + "runner1 = TestRunner(linear_regression_predictor, test, \"Linear Regression\").run()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a70d16ce-bdf1-4071-8c5a-5bddc2aa37e4", + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.feature_extraction.text import TfidfVectorizer\n", + "from sklearn.svm import SVR\n", + "\n", + "np.random.seed(42)\n", + "\n", + "labels = np.array([float(item.price) for item in train])\n", + "\n", + "vectorizer = TfidfVectorizer(max_features=20)\n", + "X = vectorizer.fit_transform(documents)\n", + "\n", + "regressor = SVR(kernel='linear')\n", + "regressor.fit(X, labels)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "64560112-3bfb-45cc-b489-de619a2eca20", + "metadata": {}, + "outputs": [], + "source": [ + "def svr_predictor(item):\n", + " np.random.seed(42)\n", + " x = vectorizer.transform([words(item)])\n", + " return max(regressor.predict(x)[0], 0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "392598d4-2deb-4935-9175-fd111616b13c", + "metadata": {}, + "outputs": [], + "source": [ + "runner2 = TestRunner(svr_predictor, test, \"SVR Accuracy\").run()" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "id": "60010699-d26b-4f93-a959-50272ada6a57", + "metadata": {}, + "outputs": [], + "source": [ + "def messages_for(item):\n", + " system_message = \"You estimate prices of items under $1000. Reply only with the price, no explanation\"\n", + " user_prompt = item.test_prompt().split('>')[1]\n", + " return [\n", + " {\"role\": \"system\", \"content\": system_message},\n", + " {\"role\": \"user\", \"content\": user_prompt}\n", + " ]" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "id": "2d5c1a62-9c6e-4c1c-b051-95a78e6e32a7", + "metadata": {}, + "outputs": [], + "source": [ + "def get_price(s):\n", + " s = s.replace('$','').replace(',','')\n", + " match = re.search(r\"[-+]?\\d*\\.\\d+|\\d+\", s)\n", + " return float(match.group()) if match else 0" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "id": "9c845d34-1c73-4636-a6ec-cc6666bb39fa", + "metadata": {}, + "outputs": [], + "source": [ + "def gpt_predictor(item):\n", + " response = openai.chat.completions.create(\n", + " model=OPENAI_MODEL, #\"gpt-4o-2024-08-06\", \n", + " messages=messages_for(item),\n", + " seed=42,\n", + " max_tokens=6\n", + " )\n", + " reply = response.choices[0].message.content\n", + " return get_price(reply)" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "id": "1b3eb3ef-90a8-4642-b503-c22e72c457f5", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[91m1: Guess: $290.00 Truth: $225.66 Error: $64.34 SLE: 0.06 Item: Generation Lighting 6639003-962 Three Li...\u001b[0m\n", + "\u001b[92m2: Guess: $85.00 Truth: $82.99 Error: $2.01 SLE: 0.00 Item: Paradise Found Men's Bamboo Paradise Shi...\u001b[0m\n", + "\u001b[91m3: Guess: $899.00 Truth: $799.99 Error: $99.01 SLE: 0.01 Item: Dell Latitude 3420 3000 14\" FHD IPS (Int...\u001b[0m\n", + "\u001b[91m4: Guess: $290.00 Truth: $419.66 Error: $129.66 SLE: 0.14 Item: Delta Faucet T17T238-RB Lahara Tempassur...\u001b[0m\n", + "\u001b[91m5: Guess: $25.00 Truth: $116.94 Error: $91.94 SLE: 2.29 Item: 1 3/4\" Smooth A153-D HOT DIP Coil Roofin...\u001b[0m\n", + "\u001b[91m6: Guess: $329.00 Truth: $666.30 Error: $337.30 SLE: 0.50 Item: TOTO TLG02307U#CP Single Handle Vessel B...\u001b[0m\n", + "\u001b[93m7: Guess: $160.00 Truth: $191.99 Error: $31.99 SLE: 0.03 Item: DELSEY Paris Chatelet 2.0 Weekender Trav...\u001b[0m\n", + "\u001b[93m8: Guess: $279.00 Truth: $243.53 Error: $35.47 SLE: 0.02 Item: Yellow Jacket 46010 Brute II 4-Valve Man...\u001b[0m\n", + "\u001b[92m9: Guess: $90.00 Truth: $89.64 Error: $0.36 SLE: 0.00 Item: éS Stylus Mid\u001b[0m\n", + "\u001b[91m10: Guess: $309.00 Truth: $458.56 Error: $149.56 SLE: 0.15 Item: Lokar ATS6727BN Nostalgia Black 16\" Auto...\u001b[0m\n", + "\u001b[91m11: Guess: $899.00 Truth: $399.00 Error: $500.00 SLE: 0.66 Item: T654DN Mono Laser Printer\u001b[0m\n", + "\u001b[92m12: Guess: $8.00 Truth: $5.48 Error: $2.52 SLE: 0.11 Item: Orbit 54492 Plastic Shrub Adapter, Pack ...\u001b[0m\n", + "\u001b[91m13: Guess: $299.00 Truth: $350.00 Error: $51.00 SLE: 0.02 Item: Fabulous-Furs Donna Salyers Faux-Fur Thr...\u001b[0m\n", + "\u001b[91m14: Guess: $795.00 Truth: $316.00 Error: $479.00 SLE: 0.85 Item: Waterford Lismore 6.5\" Large Clock\u001b[0m\n", + "\u001b[91m15: Guess: $80.00 Truth: $37.95 Error: $42.05 SLE: 0.54 Item: WORLDS BEST CABLES 6 Foot RCA Cable Pair...\u001b[0m\n", + "\u001b[92m16: Guess: $80.00 Truth: $78.97 Error: $1.03 SLE: 0.00 Item: Design Toscano KY50094 Lion and Lioness ...\u001b[0m\n", + "\u001b[91m17: Guess: $399.00 Truth: $512.00 Error: $113.00 SLE: 0.06 Item: CGOLDENWALL New Automatic Seeds Counter ...\u001b[0m\n", + "\u001b[91m18: Guess: $319.00 Truth: $445.31 Error: $126.31 SLE: 0.11 Item: Metabo HPT Coil Siding Nailer, Siding Na...\u001b[0m\n", + "\u001b[91m19: Guess: $125.00 Truth: $72.62 Error: $52.38 SLE: 0.29 Item: Allied Brass RD-72/36-ORB 36-Inch Double...\u001b[0m\n", + "\u001b[91m20: Guess: $499.00 Truth: $846.33 Error: $347.33 SLE: 0.28 Item: Arnott C-2518 Coil Spring Conversion Kit\u001b[0m\n", + "\u001b[92m21: Guess: $200.00 Truth: $210.00 Error: $10.00 SLE: 0.00 Item: Columbia Men's Patrol Parka\u001b[0m\n", + "\u001b[93m22: Guess: $40.00 Truth: $75.00 Error: $35.00 SLE: 0.38 Item: SRW Laboratories Skl¹ Mobility | Joint S...\u001b[0m\n", + "\u001b[91m23: Guess: $240.00 Truth: $163.99 Error: $76.01 SLE: 0.14 Item: SHA CERLIN Queen Size Bed Frame with Woo...\u001b[0m\n", + "\u001b[92m24: Guess: $199.00 Truth: $200.95 Error: $1.95 SLE: 0.00 Item: AmGood 18\" x 30\" Stainless Steel Work Ta...\u001b[0m\n", + "\u001b[92m25: Guess: $175.00 Truth: $172.32 Error: $2.68 SLE: 0.00 Item: Detroit Axle - Brake Kit for 2005 Subaru...\u001b[0m\n", + "\u001b[92m26: Guess: $70.00 Truth: $56.99 Error: $13.01 SLE: 0.04 Item: XCCOCO Hair Dark Brown Straight Lace Clo...\u001b[0m\n", + "\u001b[92m27: Guess: $70.00 Truth: $56.27 Error: $13.73 SLE: 0.05 Item: DEWALT Accessory Socket Set, 15-Piece (D...\u001b[0m\n", + "\u001b[91m28: Guess: $795.00 Truth: $699.99 Error: $95.01 SLE: 0.02 Item: ExpertPower 3000W Pure Sine Wave Inverte...\u001b[0m\n", + "\u001b[92m29: Guess: $49.00 Truth: $49.00 Error: $0.00 SLE: 0.00 Item: High Grade Multi-Coated, Multi-Threaded,...\u001b[0m\n", + "\u001b[91m30: Guess: $1,365.00 Truth: $210.00 Error: $1,155.00 SLE: 3.49 Item: CHOW SANG SANG 999 24K Solid Gold Monkey...\u001b[0m\n", + "\u001b[91m31: Guess: $60.00 Truth: $125.67 Error: $65.67 SLE: 0.53 Item: BUD Industries NBA-10172 Style A Plastic...\u001b[0m\n", + "\u001b[92m32: Guess: $39.00 Truth: $38.97 Error: $0.03 SLE: 0.00 Item: Healthycell Focus + Recall, Brain Boost ...\u001b[0m\n", + "\u001b[91m33: Guess: $399.00 Truth: $269.99 Error: $129.01 SLE: 0.15 Item: Outdoor Storage Shed 6 x 4 Feet Utility ...\u001b[0m\n", + "\u001b[91m34: Guess: $199.00 Truth: $72.98 Error: $126.02 SLE: 0.99 Item: 2\" Boring Head R8 Shank Holder Boring He...\u001b[0m\n", + "\u001b[92m35: Guess: $579.00 Truth: $562.49 Error: $16.51 SLE: 0.00 Item: FMF Factory 4.1 RCT Slip-On Exhaust (Blu...\u001b[0m\n", + "\u001b[92m36: Guess: $220.00 Truth: $232.72 Error: $12.72 SLE: 0.00 Item: R&L Racing Black Heavy Duty Bull Bar Bru...\u001b[0m\n", + "\u001b[92m37: Guess: $50.00 Truth: $65.99 Error: $15.99 SLE: 0.07 Item: DOGENKE 26 PCS Alphabet Lore Plush Toy,P...\u001b[0m\n", + "\u001b[91m38: Guess: $60.00 Truth: $188.23 Error: $128.23 SLE: 1.28 Item: Cubitron II Scotch-Brite EXL Unitized Wh...\u001b[0m\n", + "\u001b[91m39: Guess: $899.00 Truth: $569.24 Error: $329.76 SLE: 0.21 Item: Zuri Furniture Gates Genuine Leather Alu...\u001b[0m\n", + "\u001b[92m40: Guess: $10.00 Truth: $4.99 Error: $5.01 SLE: 0.37 Item: Anjusok Camera Protective Lens Screen Pr...\u001b[0m\n", + "\u001b[92m41: Guess: $10.00 Truth: $5.94 Error: $4.06 SLE: 0.21 Item: 3M Mounting Tape, 03410, 1/2 in x 75 in\u001b[0m\n", + "\u001b[91m42: Guess: $290.00 Truth: $246.99 Error: $43.01 SLE: 0.03 Item: Power Stop KOE8268 Autospecialty Front a...\u001b[0m\n", + "\u001b[91m43: Guess: $420.00 Truth: $521.47 Error: $101.47 SLE: 0.05 Item: Corning PC-220 Hot Plate/Stirrer, 110V/6...\u001b[0m\n", + "\u001b[91m44: Guess: $240.00 Truth: $303.57 Error: $63.57 SLE: 0.05 Item: Detroit Axle - Brake Kit for 2010 2011 F...\u001b[0m\n", + "\u001b[91m45: Guess: $250.00 Truth: $124.45 Error: $125.55 SLE: 0.48 Item: ICE CARATS 10k Yellow Gold Citrine Birth...\u001b[0m\n", + "\u001b[91m46: Guess: $299.00 Truth: $379.99 Error: $80.99 SLE: 0.06 Item: WAVESTORM 8ft Junior Stand Up Paddleboar...\u001b[0m\n", + "\u001b[91m47: Guess: $159.00 Truth: $73.21 Error: $85.79 SLE: 0.59 Item: Pelz Golf DP4011 Truth Putting Board, 3'...\u001b[0m\n", + "\u001b[92m48: Guess: $54.00 Truth: $42.99 Error: $11.01 SLE: 0.05 Item: ScudoPro Nicaragua Flag Short Sleeve Cyc...\u001b[0m\n", + "\u001b[91m49: Guess: $160.00 Truth: $269.00 Error: $109.00 SLE: 0.27 Item: SUMBIN Commercial Heavy Duty Mortise Loc...\u001b[0m\n", + "\u001b[93m50: Guess: $85.00 Truth: $116.90 Error: $31.90 SLE: 0.10 Item: Ore International LB-1713 LB-1713 Plant ...\u001b[0m\n", + "\u001b[93m51: Guess: $25.00 Truth: $0.82 Error: $24.18 SLE: 7.07 Item: Fashion Bracelet Necklaces for Women Men...\u001b[0m\n", + "\u001b[93m52: Guess: $25.00 Truth: $52.12 Error: $27.12 SLE: 0.51 Item: FoxFarm Fox Farm FX14071 1-Gallon Bushdo...\u001b[0m\n", + "\u001b[91m53: Guess: $175.00 Truth: $598.12 Error: $423.12 SLE: 1.50 Item: KOHLER 26293-BL Statement 12 Inch Single...\u001b[0m\n", + "\u001b[92m54: Guess: $49.00 Truth: $49.95 Error: $0.95 SLE: 0.00 Item: Seeking Health Optimal Prenatal Powder, ...\u001b[0m\n", + "\u001b[91m55: Guess: $269.00 Truth: $469.99 Error: $200.99 SLE: 0.31 Item: Covercraft Custom Fit Car Cover for Ford...\u001b[0m\n", + "\u001b[92m56: Guess: $250.00 Truth: $237.47 Error: $12.53 SLE: 0.00 Item: AlphaRex (650020) 09-14 Ford F-150 (Excl...\u001b[0m\n", + "\u001b[91m57: Guess: $299.00 Truth: $127.88 Error: $171.12 SLE: 0.71 Item: Marmot Ironwood 30 degree Down Lightweig...\u001b[0m\n", + "\u001b[91m58: Guess: $750.00 Truth: $859.00 Error: $109.00 SLE: 0.02 Item: HP 17.3\" IPS Laptop, Intel Iris Xe Graph...\u001b[0m\n", + "\u001b[91m59: Guess: $790.00 Truth: $580.95 Error: $209.05 SLE: 0.09 Item: Gibson 65510 Super Truck Stainless Dual ...\u001b[0m\n", + "\u001b[91m60: Guess: $750.00 Truth: $684.18 Error: $65.82 SLE: 0.01 Item: August Schwer Cuckoo Clock Owl, Bird, Ne...\u001b[0m\n", + "\u001b[92m61: Guess: $175.00 Truth: $167.39 Error: $7.61 SLE: 0.00 Item: SMARTLINER Custom Fit 3 Row Liner Set Co...\u001b[0m\n", + "\u001b[91m62: Guess: $350.00 Truth: $418.00 Error: $68.00 SLE: 0.03 Item: Alexander Taron Importer 0-463 Christian...\u001b[0m\n", + "\u001b[91m63: Guess: $269.00 Truth: $217.00 Error: $52.00 SLE: 0.05 Item: Signature Design by Ashley Visola Outdoo...\u001b[0m\n", + "\u001b[93m64: Guess: $50.00 Truth: $28.95 Error: $21.05 SLE: 0.28 Item: ToBeInStyle Women's Long Sleeve Zip-Up a...\u001b[0m\n", + "\u001b[91m65: Guess: $36.00 Truth: $90.66 Error: $54.66 SLE: 0.82 Item: Renzexs 1620634 Storage Tray with Charge...\u001b[0m\n", + "\u001b[93m66: Guess: $486.00 Truth: $456.28 Error: $29.72 SLE: 0.00 Item: Pavement Ends by Bestop 51148-15 Black D...\u001b[0m\n", + "\u001b[92m67: Guess: $499.00 Truth: $489.99 Error: $9.01 SLE: 0.00 Item: ASUS 2022 VivoBook 15 15.6\" FHD Touchscr...\u001b[0m\n", + "\u001b[91m68: Guess: $150.00 Truth: $203.99 Error: $53.99 SLE: 0.09 Item: Continental PureContact LS All_Season Ra...\u001b[0m\n", + "\u001b[93m69: Guess: $25.00 Truth: $45.99 Error: $20.99 SLE: 0.35 Item: Tractor Mirror Head 5126233 Fits Fiat 66...\u001b[0m\n", + "\u001b[92m70: Guess: $129.00 Truth: $136.99 Error: $7.99 SLE: 0.00 Item: The ROP Shop Compatible Power Pressure W...\u001b[0m\n", + "\u001b[91m71: Guess: $56.00 Truth: $196.99 Error: $140.99 SLE: 1.55 Item: ZUIBESCHOS Chunky Knit Blanket Soft Warm...\u001b[0m\n", + "\u001b[93m72: Guess: $499.00 Truth: $468.98 Error: $30.02 SLE: 0.00 Item: Acer Aspire 5 15.6\" FHD Intel i3-7100U 2...\u001b[0m\n", + "\u001b[93m73: Guess: $29.00 Truth: $50.99 Error: $21.99 SLE: 0.30 Item: PROYA Skincare Collagen Peptides Face Mo...\u001b[0m\n", + "\u001b[91m74: Guess: $249.00 Truth: $149.88 Error: $99.12 SLE: 0.26 Item: Antiqued Eagle Head Ring, Sterling Silve...\u001b[0m\n", + "\u001b[92m75: Guess: $85.00 Truth: $86.97 Error: $1.97 SLE: 0.00 Item: Hitachi 13367 2-1/4-Inch x 0.092-Inch Fu...\u001b[0m\n", + "\u001b[91m76: Guess: $80.00 Truth: $164.99 Error: $84.99 SLE: 0.51 Item: Kelly Kettle Ultimate Scout Kit 41 oz. S...\u001b[0m\n", + "\u001b[93m77: Guess: $429.00 Truth: $459.00 Error: $30.00 SLE: 0.00 Item: Saddlemen Step-Up LS 806-04-172\u001b[0m\n", + "\u001b[92m78: Guess: $80.00 Truth: $72.99 Error: $7.01 SLE: 0.01 Item: GYMAX Tanning Chair, Beach Lounge Chair ...\u001b[0m\n", + "\u001b[91m79: Guess: $175.00 Truth: $549.00 Error: $374.00 SLE: 1.30 Item: Enginetech AFM DOD Remove KIT Compatible...\u001b[0m\n", + "\u001b[93m80: Guess: $89.00 Truth: $110.69 Error: $21.69 SLE: 0.05 Item: MELLCOM Wood Wall Storage Cabinet with T...\u001b[0m\n", + "\u001b[92m81: Guess: $249.00 Truth: $236.15 Error: $12.85 SLE: 0.00 Item: Rear Air Suspension Shock Struts Compati...\u001b[0m\n", + "\u001b[92m82: Guess: $5.00 Truth: $1.43 Error: $3.57 SLE: 0.82 Item: Zoo Med Laboratories AZMBB8 Pleco Banque...\u001b[0m\n", + "\u001b[91m83: Guess: $329.00 Truth: $255.00 Error: $74.00 SLE: 0.06 Item: Cubii JR1 Bundles, Under Desk Elliptical...\u001b[0m\n", + "\u001b[91m84: Guess: $899.00 Truth: $245.48 Error: $653.52 SLE: 1.68 Item: Parco Scientific 50-CXTT Trinocular Comp...\u001b[0m\n", + "\u001b[91m85: Guess: $15.00 Truth: $87.48 Error: $72.48 SLE: 2.92 Item: Sera O-nip Nature 3.1 lb.\u001b[0m\n", + "\u001b[91m86: Guess: $160.00 Truth: $67.96 Error: $92.04 SLE: 0.72 Item: ESP 66\" Sportsman Expedition Sled - Incl...\u001b[0m\n", + "\u001b[92m87: Guess: $27.00 Truth: $8.99 Error: $18.01 SLE: 1.06 Item: IMPRESA [2-Pack] Drill Dust Collector fo...\u001b[0m\n", + "\u001b[91m88: Guess: $150.00 Truth: $257.44 Error: $107.44 SLE: 0.29 Item: For Mercedes Benz Sprinter 2500 3500 Hea...\u001b[0m\n", + "\u001b[91m89: Guess: $289.00 Truth: $419.29 Error: $130.29 SLE: 0.14 Item: Abbey Avenue Millie Accent Chair in in, ...\u001b[0m\n", + "\u001b[92m90: Guess: $57.00 Truth: $55.00 Error: $2.00 SLE: 0.00 Item: Artist Unknown 1.2m 4ft Compatible with ...\u001b[0m\n", + "\u001b[92m91: Guess: $29.00 Truth: $25.75 Error: $3.25 SLE: 0.01 Item: Cash Acme 22397-0000LF VR-801 Vacuum Rel...\u001b[0m\n", + "\u001b[91m92: Guess: $70.00 Truth: $26.59 Error: $43.41 SLE: 0.89 Item: A-Premium Power Steering Pressure Line H...\u001b[0m\n", + "\u001b[91m93: Guess: $130.00 Truth: $912.99 Error: $782.99 SLE: 3.77 Item: Bandai Tamashii Nations Saint Cloth Myth...\u001b[0m\n", + "\u001b[91m94: Guess: $300.00 Truth: $529.99 Error: $229.99 SLE: 0.32 Item: YITAHOME Electric Power Lift Recliner Ch...\u001b[0m\n", + "\u001b[91m95: Guess: $239.00 Truth: $188.38 Error: $50.62 SLE: 0.06 Item: Front Buckets Seats, CalTrend DuraPlus S...\u001b[0m\n", + "\u001b[91m96: Guess: $150.00 Truth: $275.95 Error: $125.95 SLE: 0.37 Item: Arctic Cat 2004-2009 Atv 500 Auto Trans ...\u001b[0m\n", + "\u001b[91m97: Guess: $300.00 Truth: $349.99 Error: $49.99 SLE: 0.02 Item: Dell Inspiron i5547-15001sLV 15.6-Inch T...\u001b[0m\n", + "\u001b[91m98: Guess: $25.00 Truth: $71.99 Error: $46.99 SLE: 1.07 Item: Deconovo Table Cloth Pad 1.5mm Thick 42 ...\u001b[0m\n", + "\u001b[91m99: Guess: $250.00 Truth: $360.99 Error: $110.99 SLE: 0.13 Item: MBI AUTO - Painted to Match, Front Bumpe...\u001b[0m\n", + "\u001b[91m100: Guess: $499.00 Truth: $332.00 Error: $167.00 SLE: 0.17 Item: Rhino-Rack Roof Rack Compatible with Jee...\u001b[0m\n", + "\u001b[92m101: Guess: $200.00 Truth: $184.59 Error: $15.41 SLE: 0.01 Item: NAHANCO K30 Three Roll Poly Bag Dispense...\u001b[0m\n", + "\u001b[92m102: Guess: $145.00 Truth: $154.95 Error: $9.95 SLE: 0.00 Item: Naot Footwear Women's Cymbal Sandal\u001b[0m\n", + "\u001b[91m103: Guess: $120.00 Truth: $177.09 Error: $57.09 SLE: 0.15 Item: CST CSE-C16-3 Coil Spring Spacer (3\" s -...\u001b[0m\n", + "\u001b[91m104: Guess: $10.00 Truth: $147.48 Error: $137.48 SLE: 6.77 Item: 3M Automotive Refinish Masking Tape, 066...\u001b[0m\n", + "\u001b[92m105: Guess: $290.00 Truth: $283.50 Error: $6.50 SLE: 0.00 Item: Howard Elliott Collection Carlton Oval M...\u001b[0m\n", + "\u001b[92m106: Guess: $120.00 Truth: $115.99 Error: $4.01 SLE: 0.00 Item: Saint Seiya Saint Cloth Myth New Cygnus\u001b[0m\n", + "\u001b[91m107: Guess: $129.00 Truth: $236.98 Error: $107.98 SLE: 0.37 Item: Evonavi |2GB+32GB| Car Radio for Jeep Wr...\u001b[0m\n", + "\u001b[93m108: Guess: $80.00 Truth: $118.78 Error: $38.78 SLE: 0.15 Item: Dorman 602-508AS Windshield Wiper Motor ...\u001b[0m\n", + "\u001b[91m109: Guess: $265.00 Truth: $217.75 Error: $47.25 SLE: 0.04 Item: WEN LA3421 3.2-Amp 8-Inch by 13-Inch Var...\u001b[0m\n", + "\u001b[93m110: Guess: $299.00 Truth: $319.00 Error: $20.00 SLE: 0.00 Item: Universal Audio UAFX Golden Reverb Pedal\u001b[0m\n", + "\u001b[91m111: Guess: $80.00 Truth: $34.99 Error: $45.01 SLE: 0.66 Item: Luxe Fur Throw Pillows for Couch and Bed...\u001b[0m\n", + "\u001b[93m112: Guess: $175.00 Truth: $195.99 Error: $20.99 SLE: 0.01 Item: Dheridy 180% Density 13x6 30 Inch 613 La...\u001b[0m\n", + "\u001b[91m113: Guess: $699.00 Truth: $575.07 Error: $123.93 SLE: 0.04 Item: ASUS ROG Swift 360Hz PG259QN 24.5” HDR G...\u001b[0m\n", + "\u001b[93m114: Guess: $459.00 Truth: $489.95 Error: $30.95 SLE: 0.00 Item: Rough Country 3\" Lift Kit w/N3 Shocks fo...\u001b[0m\n", + "\u001b[93m115: Guess: $399.00 Truth: $430.89 Error: $31.89 SLE: 0.01 Item: Le Pera Cobra Pleated Seat LK-079PT\u001b[0m\n", + "\u001b[93m116: Guess: $280.00 Truth: $255.99 Error: $24.01 SLE: 0.01 Item: ACANII - For Blk 1999-2004 Jeep Grand Ch...\u001b[0m\n", + "\u001b[91m117: Guess: $600.00 Truth: $700.00 Error: $100.00 SLE: 0.02 Item: Apple MacBook Pro MGXA2LL/A 15-Inch Lapt...\u001b[0m\n", + "\u001b[92m118: Guess: $50.00 Truth: $50.99 Error: $0.99 SLE: 0.00 Item: IDIFU Women's IN2 Pedazo Dress Shoes Low...\u001b[0m\n", + "\u001b[91m119: Guess: $420.00 Truth: $708.00 Error: $288.00 SLE: 0.27 Item: Extreme Dimensions Compatible with 2018-...\u001b[0m\n", + "\u001b[92m120: Guess: $5.00 Truth: $2.49 Error: $2.51 SLE: 0.29 Item: Pink Banana Jumbo Winter Squash Garden S...\u001b[0m\n", + "\u001b[91m121: Guess: $230.00 Truth: $367.95 Error: $137.95 SLE: 0.22 Item: Pelican 1610 Case With Padded Dividers (...\u001b[0m\n", + "\u001b[91m122: Guess: $80.00 Truth: $178.61 Error: $98.61 SLE: 0.63 Item: Fluke 80PK-3A Surface Probe\u001b[0m\n", + "\u001b[91m123: Guess: $399.00 Truth: $277.54 Error: $121.46 SLE: 0.13 Item: WECO Tiny Compact Undersink Reverse Osmo...\u001b[0m\n", + "\u001b[91m124: Guess: $40.00 Truth: $252.99 Error: $212.99 SLE: 3.33 Item: Magic The Gathering - MTG: Mirrodin Besi...\u001b[0m\n", + "\u001b[93m125: Guess: $175.00 Truth: $201.98 Error: $26.98 SLE: 0.02 Item: Pair of 2 SunF Warrior AT 25x10-12 ATV U...\u001b[0m\n", + "\u001b[91m126: Guess: $150.00 Truth: $566.50 Error: $416.50 SLE: 1.75 Item: Nike Mens Air Jordan 6 Retro Low Seahawk...\u001b[0m\n", + "\u001b[91m127: Guess: $99.00 Truth: $152.00 Error: $53.00 SLE: 0.18 Item: Millennium Chess Genius Pro Electronic C...\u001b[0m\n", + "\u001b[93m128: Guess: $785.00 Truth: $811.14 Error: $26.14 SLE: 0.00 Item: Fabtech FTS21061BK Suspension Lift Kit C...\u001b[0m\n", + "\u001b[91m129: Guess: $399.00 Truth: $299.99 Error: $99.01 SLE: 0.08 Item: Ibanez Performance Series PF28ECE Acoust...\u001b[0m\n", + "\u001b[91m130: Guess: $175.00 Truth: $220.75 Error: $45.75 SLE: 0.05 Item: Schaeffler LuK RepSet 03-063 Clutch Kit,...\u001b[0m\n", + "\u001b[92m131: Guess: $53.00 Truth: $50.79 Error: $2.21 SLE: 0.00 Item: Primos Hunting Jackpot Slate Turkey Hunt...\u001b[0m\n", + "\u001b[91m132: Guess: $329.00 Truth: $429.95 Error: $100.95 SLE: 0.07 Item: BedRug ILT19CCK Impact Bed Liner For Use...\u001b[0m\n", + "\u001b[92m133: Guess: $35.00 Truth: $42.00 Error: $7.00 SLE: 0.03 Item: VAST Soft Bucket Hat, Reversible, Cool B...\u001b[0m\n", + "\u001b[92m134: Guess: $269.00 Truth: $251.19 Error: $17.81 SLE: 0.00 Item: Fine Fixtures LUXURY VESSEL OVAL 20 X 15...\u001b[0m\n", + "\u001b[91m135: Guess: $45.00 Truth: $206.49 Error: $161.49 SLE: 2.27 Item: Kohler K-6235-NA, 4.00 x 12.63 x 18.69 i...\u001b[0m\n", + "\u001b[93m136: Guess: $200.00 Truth: $227.99 Error: $27.99 SLE: 0.02 Item: Power Stop EBR1453XPR Rear Evolution Dri...\u001b[0m\n", + "\u001b[91m137: Guess: $600.00 Truth: $419.90 Error: $180.10 SLE: 0.13 Item: Lenovo ThinkPad P50 Workstation Laptop -...\u001b[0m\n", + "\u001b[91m138: Guess: $199.00 Truth: $147.26 Error: $51.74 SLE: 0.09 Item: Thrashin Supply 1\" Handlebar (Mid-Bend) ...\u001b[0m\n", + "\u001b[93m139: Guess: $399.00 Truth: $429.00 Error: $30.00 SLE: 0.01 Item: HP - Pavilion x360 2-in-1 11.6\" Touch-Sc...\u001b[0m\n", + "\u001b[91m140: Guess: $289.00 Truth: $359.99 Error: $70.99 SLE: 0.05 Item: Airmax ClearPAC Plus Complete Pond Care ...\u001b[0m\n", + "\u001b[93m141: Guess: $50.00 Truth: $78.00 Error: $28.00 SLE: 0.19 Item: Werner 55-1 Attic Ladder Replacement Hin...\u001b[0m\n", + "\u001b[93m142: Guess: $249.00 Truth: $279.00 Error: $30.00 SLE: 0.01 Item: CoolingSky 3 Row Core Aluminum Radiator ...\u001b[0m\n", + "\u001b[91m143: Guess: $150.00 Truth: $214.97 Error: $64.97 SLE: 0.13 Item: AMD FX 8-Core Black Edition FX-8350 Proc...\u001b[0m\n", + "\u001b[91m144: Guess: $399.00 Truth: $509.99 Error: $110.99 SLE: 0.06 Item: Sole Designs Marie Collection Modern Uph...\u001b[0m\n", + "\u001b[91m145: Guess: $700.00 Truth: $899.99 Error: $199.99 SLE: 0.06 Item: Tama Drum Set (IE52CCPM)\u001b[0m\n", + "\u001b[91m146: Guess: $199.00 Truth: $135.99 Error: $63.01 SLE: 0.14 Item: Wall or 9ft Ceiling Mount Pull Up Bar by...\u001b[0m\n", + "\u001b[93m147: Guess: $199.00 Truth: $176.50 Error: $22.50 SLE: 0.01 Item: Delta -faucet 59799-CZ-PR-PK Universal S...\u001b[0m\n", + "\u001b[91m148: Guess: $450.00 Truth: $617.37 Error: $167.37 SLE: 0.10 Item: New Generation 05-101-SR100 Premium Clut...\u001b[0m\n", + "\u001b[91m149: Guess: $481.00 Truth: $79.99 Error: $401.01 SLE: 3.18 Item: Samsung HLT7288W Rear Projector TV Assem...\u001b[0m\n", + "\u001b[92m150: Guess: $150.00 Truth: $136.99 Error: $13.01 SLE: 0.01 Item: 2xhome EMRocker(Black) Rocking Chair\u001b[0m\n", + "\u001b[92m151: Guess: $75.00 Truth: $72.53 Error: $2.47 SLE: 0.00 Item: FOOTMASTER GDR-80S Nylon Wheel and NBR P...\u001b[0m\n", + "\u001b[91m152: Guess: $795.00 Truth: $589.99 Error: $205.01 SLE: 0.09 Item: MBRP S5259409 4\" Cat Back, Single Exhaus...\u001b[0m\n", + "\u001b[92m153: Guess: $80.00 Truth: $69.99 Error: $10.01 SLE: 0.02 Item: MaxAuto 11x4.00-5\" Flat Free Zero Turn M...\u001b[0m\n", + "\u001b[91m154: Guess: $60.00 Truth: $469.99 Error: $409.99 SLE: 4.18 Item: Delta Faucet 5-Spray Slide Bar Hand Held...\u001b[0m\n", + "\u001b[91m155: Guess: $85.00 Truth: $152.31 Error: $67.31 SLE: 0.33 Item: GEARWRENCH 9 Pc. 12 Pt. XL X-Beam Flex H...\u001b[0m\n", + "\u001b[92m156: Guess: $45.00 Truth: $32.99 Error: $12.01 SLE: 0.09 Item: CLUCI Shoulder Bag,Purses for Women Dump...\u001b[0m\n", + "\u001b[91m157: Guess: $290.00 Truth: $225.88 Error: $64.12 SLE: 0.06 Item: Woodbridge Lighting 13424STN-M10IRI 3-Li...\u001b[0m\n", + "\u001b[91m158: Guess: $700.00 Truth: $815.05 Error: $115.05 SLE: 0.02 Item: Apple MacBook Pro 15\" Retina Core i7 2.7...\u001b[0m\n", + "\u001b[92m159: Guess: $80.00 Truth: $74.99 Error: $5.01 SLE: 0.00 Item: Meike 25mm F1.8 Large Aperture Wide Angl...\u001b[0m\n", + "\u001b[92m160: Guess: $45.00 Truth: $52.99 Error: $7.99 SLE: 0.03 Item: Gorsenia K357 Women's Blanca Floral Lace...\u001b[0m\n", + "\u001b[91m161: Guess: $199.00 Truth: $519.99 Error: $320.99 SLE: 0.92 Item: TCMT 13.7\" King Tour Pack Trunk Backrest...\u001b[0m\n", + "\u001b[92m162: Guess: $299.00 Truth: $299.00 Error: $0.00 SLE: 0.00 Item: Rockin' Wood Extra Wide Real Wood Nail U...\u001b[0m\n", + "\u001b[92m163: Guess: $150.00 Truth: $147.36 Error: $2.64 SLE: 0.00 Item: A.O. Smith 5 5/8 Inch Diameter Motor 208...\u001b[0m\n", + "\u001b[91m164: Guess: $400.00 Truth: $356.99 Error: $43.01 SLE: 0.01 Item: Toshiba 17.3-Inch HD Laptop PC (Intel Co...\u001b[0m\n", + "\u001b[91m165: Guess: $240.00 Truth: $159.03 Error: $80.97 SLE: 0.17 Item: Davis & Sanford TR654C-36 Traverse Carbo...\u001b[0m\n", + "\u001b[91m166: Guess: $85.00 Truth: $159.99 Error: $74.99 SLE: 0.39 Item: JYLH JOYSEEKER Mobile Standing Desk, 28 ...\u001b[0m\n", + "\u001b[91m167: Guess: $999.00 Truth: $599.00 Error: $400.00 SLE: 0.26 Item: illy X1 Espresso Machine, 13 x 9.8 x 10....\u001b[0m\n", + "\u001b[91m168: Guess: $320.00 Truth: $176.79 Error: $143.21 SLE: 0.35 Item: SAFAVIEH Aspen Collection 7' Round Light...\u001b[0m\n", + "\u001b[93m169: Guess: $69.00 Truth: $91.77 Error: $22.77 SLE: 0.08 Item: Stealth Cam STC-E28 7.0 Megapixel Digita...\u001b[0m\n", + "\u001b[91m170: Guess: $389.00 Truth: $323.89 Error: $65.11 SLE: 0.03 Item: HONLM7236PNC - HON Foundation Desk Shell...\u001b[0m\n", + "\u001b[91m171: Guess: $199.00 Truth: $382.93 Error: $183.93 SLE: 0.43 Item: ABCCANOPY Patio Pop Up Canopy Tent with ...\u001b[0m\n", + "\u001b[91m172: Guess: $109.00 Truth: $153.95 Error: $44.95 SLE: 0.12 Item: Cosmas 25 Pack 702-4ORB Oil Rubbed Bronz...\u001b[0m\n", + "\u001b[91m173: Guess: $399.00 Truth: $317.73 Error: $81.27 SLE: 0.05 Item: AirDog (R3SBD100) Raptor Lift Pump\u001b[0m\n", + "\u001b[91m174: Guess: $89.00 Truth: $191.99 Error: $102.99 SLE: 0.58 Item: Petra ULV500 Hypochlorous Acid 500PPM (4...\u001b[0m\n", + "\u001b[91m175: Guess: $115.00 Truth: $352.70 Error: $237.70 SLE: 1.24 Item: GM Genuine Parts 172-2522 Yellow Front P...\u001b[0m\n", + "\u001b[92m176: Guess: $25.00 Truth: $32.99 Error: $7.99 SLE: 0.07 Item: WEIXUERO Women Gold Leather Belts Sparkl...\u001b[0m\n", + "\u001b[93m177: Guess: $90.00 Truth: $114.04 Error: $24.04 SLE: 0.05 Item: Reebok Women's Fusion Flexweave Safety T...\u001b[0m\n", + "\u001b[91m178: Guess: $199.00 Truth: $113.00 Error: $86.00 SLE: 0.32 Item: Tonerider TRS4-SET Guitar Pickup Set\u001b[0m\n", + "\u001b[92m179: Guess: $80.00 Truth: $76.99 Error: $3.01 SLE: 0.00 Item: SVBONY SV132 Telescope Filter, 2 inches ...\u001b[0m\n", + "\u001b[91m180: Guess: $165.00 Truth: $399.67 Error: $234.67 SLE: 0.78 Item: Trans Globe Lighting TG4719 BRZ Traditio...\u001b[0m\n", + "\u001b[91m181: Guess: $300.00 Truth: $90.54 Error: $209.46 SLE: 1.42 Item: HP Elite Desktop Computer, Intel Core i5...\u001b[0m\n", + "\u001b[91m182: Guess: $399.00 Truth: $235.99 Error: $163.01 SLE: 0.27 Item: Bumble Bee Cable Protector - 5 Channel\u001b[0m\n", + "\u001b[91m183: Guess: $150.00 Truth: $428.73 Error: $278.73 SLE: 1.09 Item: Scotsman 12-2586-21 Pump Water\u001b[0m\n", + "\u001b[91m184: Guess: $109.00 Truth: $399.38 Error: $290.38 SLE: 1.67 Item: Fowler 54-100-024-1, Xtra-Range Digital ...\u001b[0m\n", + "\u001b[91m185: Guess: $481.00 Truth: $613.45 Error: $132.45 SLE: 0.06 Item: Armordillo USA 7168466 AR Pre-Runner Sty...\u001b[0m\n", + "\u001b[91m186: Guess: $400.00 Truth: $192.40 Error: $207.60 SLE: 0.53 Item: HP Z240 Workstation SFF Desktop PC, Inte...\u001b[0m\n", + "\u001b[91m187: Guess: $399.00 Truth: $549.00 Error: $150.00 SLE: 0.10 Item: Twotrees CNC Router Machine, 3-Axis CNC ...\u001b[0m\n", + "\u001b[91m188: Guess: $289.00 Truth: $372.82 Error: $83.82 SLE: 0.06 Item: MSI Gaming GeForce RTX 2060 6GB GDRR6 19...\u001b[0m\n", + "\u001b[91m189: Guess: $899.00 Truth: $742.00 Error: $157.00 SLE: 0.04 Item: Elinchrom Indirect Litemotiv Octa Softbo...\u001b[0m\n", + "\u001b[91m190: Guess: $160.00 Truth: $114.98 Error: $45.02 SLE: 0.11 Item: Vintage Foundry Co. Wilfred Men’s Fashio...\u001b[0m\n", + "\u001b[91m191: Guess: $250.00 Truth: $130.00 Error: $120.00 SLE: 0.42 Item: Jawa Fashion 10K Yellow Gold Men Women's...\u001b[0m\n", + "\u001b[92m192: Guess: $80.00 Truth: $64.99 Error: $15.01 SLE: 0.04 Item: Gourmia GCM6850 Automatic Digital Cold B...\u001b[0m\n", + "\u001b[91m193: Guess: $481.00 Truth: $243.34 Error: $237.66 SLE: 0.46 Item: Lenovo ThinkStation P300 Small Form Desk...\u001b[0m\n", + "\u001b[92m194: Guess: $60.00 Truth: $48.00 Error: $12.00 SLE: 0.05 Item: Speedo Men's Xtra Life Lycra Fractal Poi...\u001b[0m\n", + "\u001b[91m195: Guess: $350.00 Truth: $190.99 Error: $159.01 SLE: 0.36 Item: Valmont Professional Energy Ritual Prime...\u001b[0m\n", + "\u001b[92m196: Guess: $149.00 Truth: $143.64 Error: $5.36 SLE: 0.00 Item: Lucida Surfaces Luxury Vinyl Floor Tiles...\u001b[0m\n", + "\u001b[91m197: Guess: $479.00 Truth: $968.99 Error: $489.99 SLE: 0.49 Item: AmScope 7X-45X Black Trinocular Stereo Z...\u001b[0m\n", + "\u001b[92m198: Guess: $29.00 Truth: $17.99 Error: $11.01 SLE: 0.21 Item: Chen Miranda Great Dane Dog Double-Sided...\u001b[0m\n", + "\u001b[91m199: Guess: $80.00 Truth: $162.99 Error: $82.99 SLE: 0.50 Item: TOREAD CCP420 Pool Filter Replaces Penta...\u001b[0m\n", + "\u001b[91m200: Guess: $399.00 Truth: $135.99 Error: $263.01 SLE: 1.15 Item: 4K Night Vision Goggles, 4.5'' Large Scr...\u001b[0m\n", + "\u001b[91m201: Guess: $479.00 Truth: $829.00 Error: $350.00 SLE: 0.30 Item: Scubapro Seahawk2 BCD with Balanced Infl...\u001b[0m\n", + "\u001b[93m202: Guess: $499.00 Truth: $466.89 Error: $32.11 SLE: 0.00 Item: OSP Home Furnishings Country Meadows L-S...\u001b[0m\n", + "\u001b[91m203: Guess: $795.00 Truth: $729.99 Error: $65.01 SLE: 0.01 Item: Dell U4320Q 43 Inch 2160p 4K UltraSharp,...\u001b[0m\n", + "\u001b[92m204: Guess: $50.00 Truth: $56.00 Error: $6.00 SLE: 0.01 Item: SOUL Naturalizer Women's, Sing 2 Thong S...\u001b[0m\n", + "\u001b[92m205: Guess: $250.00 Truth: $234.95 Error: $15.05 SLE: 0.00 Item: Dakine D.100.4761.964.OS Concourse Hards...\u001b[0m\n", + "\u001b[93m206: Guess: $80.00 Truth: $119.99 Error: $39.99 SLE: 0.16 Item: Maxzzz 4 Inch Memory Foam Mattress Toppe...\u001b[0m\n", + "\u001b[91m207: Guess: $679.00 Truth: $329.95 Error: $349.05 SLE: 0.52 Item: Diamond2Deal Platinum 2mm Half-Round Wed...\u001b[0m\n", + "\u001b[91m208: Guess: $199.00 Truth: $244.99 Error: $45.99 SLE: 0.04 Item: Good Directions Blue Heron Weathervane, ...\u001b[0m\n", + "\u001b[91m209: Guess: $450.00 Truth: $650.00 Error: $200.00 SLE: 0.13 Item: DY'ON Anatomic Bridle, Brown\u001b[0m\n", + "\u001b[91m210: Guess: $450.00 Truth: $899.00 Error: $449.00 SLE: 0.48 Item: LifeYard 46\" Steel Square Picnic Table,E...\u001b[0m\n", + "\u001b[92m211: Guess: $24.00 Truth: $22.99 Error: $1.01 SLE: 0.00 Item: Women’s Corgi And Pizza Printed Zip Wall...\u001b[0m\n", + "\u001b[91m212: Guess: $819.00 Truth: $875.96 Error: $56.96 SLE: 0.00 Item: Power Stop KC2443-36 Front & Rear Z36 Tr...\u001b[0m\n", + "\u001b[91m213: Guess: $450.00 Truth: $328.37 Error: $121.63 SLE: 0.10 Item: Progressive Furniture Midori Counter Tab...\u001b[0m\n", + "\u001b[93m214: Guess: $180.00 Truth: $200.53 Error: $20.53 SLE: 0.01 Item: Genuine Hyundai 92101-1R010 Left-Hand He...\u001b[0m\n", + "\u001b[91m215: Guess: $199.00 Truth: $329.00 Error: $130.00 SLE: 0.25 Item: HP 2021 Chromebook 14 Inch FHD 1080P Lap...\u001b[0m\n", + "\u001b[91m216: Guess: $45.00 Truth: $146.93 Error: $101.93 SLE: 1.36 Item: Medi-Pak Performance Conforming Gauze Ba...\u001b[0m\n", + "\u001b[92m217: Guess: $45.00 Truth: $63.00 Error: $18.00 SLE: 0.11 Item: I Dig Crystals Angelite Bracelet Boutiqu...\u001b[0m\n", + "\u001b[91m218: Guess: $399.00 Truth: $357.00 Error: $42.00 SLE: 0.01 Item: Dell P2721Q 27 Inch 4K FHD, IP Ultra-Thi...\u001b[0m\n", + "\u001b[92m219: Guess: $79.00 Truth: $61.99 Error: $17.01 SLE: 0.06 Item: 20 Pc Set Pack Blu-MOL Xtreme Bi Metal R...\u001b[0m\n", + "\u001b[91m220: Guess: $399.00 Truth: $296.99 Error: $102.01 SLE: 0.09 Item: Twin Over Twin Bunk Beds with 2 Drawers ...\u001b[0m\n", + "\u001b[91m221: Guess: $199.00 Truth: $335.00 Error: $136.00 SLE: 0.27 Item: Drill Bit Sharpener Tormek DBS-22 - The ...\u001b[0m\n", + "\u001b[91m222: Guess: $25.00 Truth: $284.00 Error: $259.00 SLE: 5.73 Item: Lenovo ThinkServer 4GB DDR3L-1600MHz (1R...\u001b[0m\n", + "\u001b[91m223: Guess: $699.00 Truth: $770.99 Error: $71.99 SLE: 0.01 Item: Recessed Wall Ventless Bio Ethanol Firep...\u001b[0m\n", + "\u001b[91m224: Guess: $250.00 Truth: $350.41 Error: $100.41 SLE: 0.11 Item: Garage-Pro Rear Step Bumper Compatible w...\u001b[0m\n", + "\u001b[91m225: Guess: $600.00 Truth: $254.99 Error: $345.01 SLE: 0.73 Item: Dell 7050 SFF Desktop Intel i7-6700 UP t...\u001b[0m\n", + "\u001b[92m226: Guess: $75.00 Truth: $92.50 Error: $17.50 SLE: 0.04 Item: Barski - European Glass -Crystalline - V...\u001b[0m\n", + "\u001b[92m227: Guess: $175.00 Truth: $157.99 Error: $17.01 SLE: 0.01 Item: Lutema Platinum Bulb for JVC LX-WX50 Pro...\u001b[0m\n", + "\u001b[91m228: Guess: $599.00 Truth: $323.19 Error: $275.81 SLE: 0.38 Item: Outdoor Research Men's Skyward Jacket\u001b[0m\n", + "\u001b[93m229: Guess: $99.00 Truth: $123.19 Error: $24.19 SLE: 0.05 Item: Jensen Speaker, Green, 8-Inch (P8R8)\u001b[0m\n", + "\u001b[91m230: Guess: $399.00 Truth: $150.99 Error: $248.01 SLE: 0.94 Item: Peora Solid 14K White Gold Peridot and D...\u001b[0m\n", + "\u001b[92m231: Guess: $25.00 Truth: $17.99 Error: $7.01 SLE: 0.10 Item: FLNA Nail Kit Ingrown Toenail Clippers T...\u001b[0m\n", + "\u001b[91m232: Guess: $99.00 Truth: $160.00 Error: $61.00 SLE: 0.23 Item: J JINPEI Heated Thermal Underwear for Me...\u001b[0m\n", + "\u001b[93m233: Guess: $90.00 Truth: $120.89 Error: $30.89 SLE: 0.09 Item: Eureka Lightweight Powerful Upright Vacu...\u001b[0m\n", + "\u001b[92m234: Guess: $899.00 Truth: $900.00 Error: $1.00 SLE: 0.00 Item: Lexmark CX510DE Color Multifunction - Pr...\u001b[0m\n", + "\u001b[92m235: Guess: $24.00 Truth: $16.90 Error: $7.10 SLE: 0.11 Item: Vermont SKI Mountains Winter Sport Famil...\u001b[0m\n", + "\u001b[91m236: Guess: $400.00 Truth: $349.95 Error: $50.05 SLE: 0.02 Item: Rough Country 6\" Loaded N3 Lifted Struts...\u001b[0m\n", + "\u001b[93m237: Guess: $24.00 Truth: $45.99 Error: $21.99 SLE: 0.40 Item: Schwinn Thrasher Adult Lightweight Bike ...\u001b[0m\n", + "\u001b[93m238: Guess: $60.00 Truth: $92.15 Error: $32.15 SLE: 0.18 Item: Creative Co-Op Round Framed Decor with V...\u001b[0m\n", + "\u001b[91m239: Guess: $159.00 Truth: $279.00 Error: $120.00 SLE: 0.31 Item: 2TB NVME PCle Gen 5 (5x4) SSD E26 Speed ...\u001b[0m\n", + "\u001b[91m240: Guess: $549.00 Truth: $245.99 Error: $303.01 SLE: 0.64 Item: FEELWORLD LIVEPRO L1 4 x HDMI Inputs Mul...\u001b[0m\n", + "\u001b[91m241: Guess: $299.00 Truth: $609.98 Error: $310.98 SLE: 0.51 Item: GForce Portable Dual Motor 1500 Watt Who...\u001b[0m\n", + "\u001b[93m242: Guess: $249.00 Truth: $228.95 Error: $20.05 SLE: 0.01 Item: B&M 11314 Differential Cover\u001b[0m\n", + "\u001b[91m243: Guess: $799.00 Truth: $990.43 Error: $191.43 SLE: 0.05 Item: Minn Kota 1358733 PowerDrive Freshwater ...\u001b[0m\n", + "\u001b[91m244: Guess: $299.00 Truth: $536.50 Error: $237.50 SLE: 0.34 Item: Amazon Brand – Rivet Charlotte Mid-Centu...\u001b[0m\n", + "\u001b[91m245: Guess: $25.00 Truth: $225.00 Error: $200.00 SLE: 4.68 Item: Horse First Supplements RelaxMe\u001b[0m\n", + "\u001b[91m246: Guess: $190.00 Truth: $283.83 Error: $93.83 SLE: 0.16 Item: Sherman Replacement Part Compatible with...\u001b[0m\n", + "\u001b[91m247: Guess: $175.00 Truth: $464.89 Error: $289.89 SLE: 0.95 Item: Putco Pop Up Locker Rails Fits Chevy Sil...\u001b[0m\n", + "\u001b[92m248: Guess: $300.00 Truth: $291.99 Error: $8.01 SLE: 0.00 Item: Pertronix D131800 Flame-Thrower Plug and...\u001b[0m\n", + "\u001b[91m249: Guess: $399.00 Truth: $349.00 Error: $50.00 SLE: 0.02 Item: Powerblanket EH0304 Ground Thawing Blank...\u001b[0m\n", + "\u001b[91m250: Guess: $269.00 Truth: $209.99 Error: $59.01 SLE: 0.06 Item: PAOLFOX 4 Piece Patio Porch Furniture Se...\u001b[0m\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "runner = TestRunner(gpt_predictor, test, \"GPT-4o-mini Prediction Accuracy\").run()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "38c882fd-fc7b-4c01-af89-77229ef10d1d", + "metadata": {}, + "outputs": [], + "source": [ + "runner.title = \"GPT-4o Frontier 2024-08-06\"\n", + "runner.report()" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "id": "c43e2865-ac54-4ea8-9d2c-bbbeedf89029", + "metadata": {}, + "outputs": [], + "source": [ + "def frontier_predictor(item):\n", + " response = openai.chat.completions.create(\n", + " model=\"gpt-4o-2024-08-06\", \n", + " messages=messages_for(item),\n", + " seed=42,\n", + " max_tokens=6\n", + " )\n", + " reply = response.choices[0].message.content\n", + " return get_price(reply)" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "id": "4bf517b2-9a7e-4def-93ba-f728f16d91e2", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[93m1: Guess: $195.00 Truth: $225.66 Error: $30.66 SLE: 0.02 Item: Generation Lighting 6639003-962 Three Li...\u001b[0m\n", + "\u001b[92m2: Guess: $85.00 Truth: $82.99 Error: $2.01 SLE: 0.00 Item: Paradise Found Men's Bamboo Paradise Shi...\u001b[0m\n", + "\u001b[91m3: Guess: $850.00 Truth: $799.99 Error: $50.01 SLE: 0.00 Item: Dell Latitude 3420 3000 14\" FHD IPS (Int...\u001b[0m\n", + "\u001b[91m4: Guess: $290.00 Truth: $419.66 Error: $129.66 SLE: 0.14 Item: Delta Faucet T17T238-RB Lahara Tempassur...\u001b[0m\n", + "\u001b[91m5: Guess: $42.00 Truth: $116.94 Error: $74.94 SLE: 1.02 Item: 1 3/4\" Smooth A153-D HOT DIP Coil Roofin...\u001b[0m\n", + "\u001b[91m6: Guess: $250.00 Truth: $666.30 Error: $416.30 SLE: 0.96 Item: TOTO TLG02307U#CP Single Handle Vessel B...\u001b[0m\n", + "\u001b[93m7: Guess: $220.00 Truth: $191.99 Error: $28.01 SLE: 0.02 Item: DELSEY Paris Chatelet 2.0 Weekender Trav...\u001b[0m\n", + "\u001b[93m8: Guess: $215.00 Truth: $243.53 Error: $28.53 SLE: 0.02 Item: Yellow Jacket 46010 Brute II 4-Valve Man...\u001b[0m\n", + "\u001b[92m9: Guess: $80.00 Truth: $89.64 Error: $9.64 SLE: 0.01 Item: éS Stylus Mid\u001b[0m\n", + "\u001b[91m10: Guess: $309.00 Truth: $458.56 Error: $149.56 SLE: 0.15 Item: Lokar ATS6727BN Nostalgia Black 16\" Auto...\u001b[0m\n", + "\u001b[91m11: Guess: $599.00 Truth: $399.00 Error: $200.00 SLE: 0.16 Item: T654DN Mono Laser Printer\u001b[0m\n", + "\u001b[92m12: Guess: $5.00 Truth: $5.48 Error: $0.48 SLE: 0.01 Item: Orbit 54492 Plastic Shrub Adapter, Pack ...\u001b[0m\n", + "\u001b[91m13: Guess: $269.00 Truth: $350.00 Error: $81.00 SLE: 0.07 Item: Fabulous-Furs Donna Salyers Faux-Fur Thr...\u001b[0m\n", + "\u001b[92m14: Guess: $300.00 Truth: $316.00 Error: $16.00 SLE: 0.00 Item: Waterford Lismore 6.5\" Large Clock\u001b[0m\n", + "\u001b[92m15: Guess: $36.00 Truth: $37.95 Error: $1.95 SLE: 0.00 Item: WORLDS BEST CABLES 6 Foot RCA Cable Pair...\u001b[0m\n", + "\u001b[92m16: Guess: $74.00 Truth: $78.97 Error: $4.97 SLE: 0.00 Item: Design Toscano KY50094 Lion and Lioness ...\u001b[0m\n", + "\u001b[91m17: Guess: $399.00 Truth: $512.00 Error: $113.00 SLE: 0.06 Item: CGOLDENWALL New Automatic Seeds Counter ...\u001b[0m\n", + "\u001b[91m18: Guess: $279.00 Truth: $445.31 Error: $166.31 SLE: 0.22 Item: Metabo HPT Coil Siding Nailer, Siding Na...\u001b[0m\n", + "\u001b[91m19: Guess: $122.00 Truth: $72.62 Error: $49.38 SLE: 0.26 Item: Allied Brass RD-72/36-ORB 36-Inch Double...\u001b[0m\n", + "\u001b[91m20: Guess: $258.00 Truth: $846.33 Error: $588.33 SLE: 1.40 Item: Arnott C-2518 Coil Spring Conversion Kit\u001b[0m\n", + "\u001b[91m21: Guess: $250.00 Truth: $210.00 Error: $40.00 SLE: 0.03 Item: Columbia Men's Patrol Parka\u001b[0m\n", + "\u001b[93m22: Guess: $50.00 Truth: $75.00 Error: $25.00 SLE: 0.16 Item: SRW Laboratories Skl¹ Mobility | Joint S...\u001b[0m\n", + "\u001b[93m23: Guess: $199.00 Truth: $163.99 Error: $35.01 SLE: 0.04 Item: SHA CERLIN Queen Size Bed Frame with Woo...\u001b[0m\n", + "\u001b[91m24: Guess: $109.00 Truth: $200.95 Error: $91.95 SLE: 0.37 Item: AmGood 18\" x 30\" Stainless Steel Work Ta...\u001b[0m\n", + "\u001b[92m25: Guess: $153.00 Truth: $172.32 Error: $19.32 SLE: 0.01 Item: Detroit Axle - 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Painted to Match, Front Bumpe...\u001b[0m\n", + "\u001b[91m100: Guess: $399.00 Truth: $332.00 Error: $67.00 SLE: 0.03 Item: Rhino-Rack Roof Rack Compatible with Jee...\u001b[0m\n", + "\u001b[91m101: Guess: $130.00 Truth: $184.59 Error: $54.59 SLE: 0.12 Item: NAHANCO K30 Three Roll Poly Bag Dispense...\u001b[0m\n", + "\u001b[92m102: Guess: $149.00 Truth: $154.95 Error: $5.95 SLE: 0.00 Item: Naot Footwear Women's Cymbal Sandal\u001b[0m\n", + "\u001b[91m103: Guess: $135.00 Truth: $177.09 Error: $42.09 SLE: 0.07 Item: CST CSE-C16-3 Coil Spring Spacer (3\" s -...\u001b[0m\n", + "\u001b[91m104: Guess: $56.00 Truth: $147.48 Error: $91.48 SLE: 0.92 Item: 3M Automotive Refinish Masking Tape, 066...\u001b[0m\n", + "\u001b[92m105: Guess: $290.00 Truth: $283.50 Error: $6.50 SLE: 0.00 Item: Howard Elliott Collection Carlton Oval M...\u001b[0m\n", + "\u001b[93m106: Guess: $85.00 Truth: $115.99 Error: $30.99 SLE: 0.09 Item: Saint Seiya Saint Cloth Myth New Cygnus\u001b[0m\n", + "\u001b[91m107: Guess: $175.00 Truth: $236.98 Error: $61.98 SLE: 0.09 Item: Evonavi |2GB+32GB| Car Radio for Jeep Wr...\u001b[0m\n", + "\u001b[93m108: Guess: $142.00 Truth: $118.78 Error: $23.22 SLE: 0.03 Item: Dorman 602-508AS Windshield Wiper Motor ...\u001b[0m\n", + "\u001b[92m109: Guess: $199.00 Truth: $217.75 Error: $18.75 SLE: 0.01 Item: WEN LA3421 3.2-Amp 8-Inch by 13-Inch Var...\u001b[0m\n", + "\u001b[91m110: Guess: $399.00 Truth: $319.00 Error: $80.00 SLE: 0.05 Item: Universal Audio UAFX Golden Reverb Pedal\u001b[0m\n", + "\u001b[93m111: Guess: $60.00 Truth: $34.99 Error: $25.01 SLE: 0.28 Item: Luxe Fur Throw Pillows for Couch and Bed...\u001b[0m\n", + "\u001b[91m112: Guess: $240.00 Truth: $195.99 Error: $44.01 SLE: 0.04 Item: Dheridy 180% Density 13x6 30 Inch 613 La...\u001b[0m\n", + "\u001b[91m113: Guess: $699.00 Truth: $575.07 Error: $123.93 SLE: 0.04 Item: ASUS ROG Swift 360Hz PG259QN 24.5” HDR G...\u001b[0m\n", + "\u001b[91m114: Guess: $319.00 Truth: $489.95 Error: $170.95 SLE: 0.18 Item: Rough Country 3\" Lift Kit w/N3 Shocks fo...\u001b[0m\n", + "\u001b[91m115: Guess: $290.00 Truth: $430.89 Error: $140.89 SLE: 0.16 Item: Le Pera Cobra Pleated Seat LK-079PT\u001b[0m\n", + "\u001b[92m116: Guess: $240.00 Truth: $255.99 Error: $15.99 SLE: 0.00 Item: ACANII - For Blk 1999-2004 Jeep Grand Ch...\u001b[0m\n", + "\u001b[91m117: Guess: $550.00 Truth: $700.00 Error: $150.00 SLE: 0.06 Item: Apple MacBook Pro MGXA2LL/A 15-Inch Lapt...\u001b[0m\n", + "\u001b[92m118: Guess: $48.00 Truth: $50.99 Error: $2.99 SLE: 0.00 Item: IDIFU Women's IN2 Pedazo Dress Shoes Low...\u001b[0m\n", + "\u001b[91m119: Guess: $450.00 Truth: $708.00 Error: $258.00 SLE: 0.20 Item: Extreme Dimensions Compatible with 2018-...\u001b[0m\n", + "\u001b[92m120: Guess: $5.00 Truth: $2.49 Error: $2.51 SLE: 0.29 Item: Pink Banana Jumbo Winter Squash Garden S...\u001b[0m\n", + "\u001b[93m121: Guess: $340.00 Truth: $367.95 Error: $27.95 SLE: 0.01 Item: Pelican 1610 Case With Padded Dividers (...\u001b[0m\n", + "\u001b[93m122: Guess: $199.00 Truth: $178.61 Error: $20.39 SLE: 0.01 Item: Fluke 80PK-3A Surface Probe\u001b[0m\n", + "\u001b[91m123: Guess: $199.00 Truth: $277.54 Error: $78.54 SLE: 0.11 Item: WECO Tiny Compact Undersink Reverse Osmo...\u001b[0m\n", + "\u001b[91m124: Guess: $80.00 Truth: $252.99 Error: $172.99 SLE: 1.31 Item: Magic The Gathering - MTG: Mirrodin Besi...\u001b[0m\n", + "\u001b[91m125: Guess: $131.00 Truth: $201.98 Error: $70.98 SLE: 0.19 Item: Pair of 2 SunF Warrior AT 25x10-12 ATV U...\u001b[0m\n", + "\u001b[91m126: Guess: $220.00 Truth: $566.50 Error: $346.50 SLE: 0.89 Item: Nike Mens Air Jordan 6 Retro Low Seahawk...\u001b[0m\n", + "\u001b[93m127: Guess: $175.00 Truth: $152.00 Error: $23.00 SLE: 0.02 Item: Millennium Chess Genius Pro Electronic C...\u001b[0m\n", + "\u001b[91m128: Guess: $400.00 Truth: $811.14 Error: $411.14 SLE: 0.50 Item: Fabtech FTS21061BK Suspension Lift Kit C...\u001b[0m\n", + "\u001b[91m129: Guess: $349.00 Truth: $299.99 Error: $49.01 SLE: 0.02 Item: Ibanez Performance Series PF28ECE Acoust...\u001b[0m\n", + "\u001b[91m130: Guess: $175.00 Truth: $220.75 Error: $45.75 SLE: 0.05 Item: Schaeffler LuK RepSet 03-063 Clutch Kit,...\u001b[0m\n", + "\u001b[92m131: Guess: $36.00 Truth: $50.79 Error: $14.79 SLE: 0.11 Item: Primos Hunting Jackpot Slate Turkey Hunt...\u001b[0m\n", + "\u001b[93m132: Guess: $399.00 Truth: $429.95 Error: $30.95 SLE: 0.01 Item: BedRug ILT19CCK Impact Bed Liner For Use...\u001b[0m\n", + "\u001b[92m133: Guess: $25.00 Truth: $42.00 Error: $17.00 SLE: 0.25 Item: VAST Soft Bucket Hat, Reversible, Cool B...\u001b[0m\n", + "\u001b[91m134: Guess: $175.00 Truth: $251.19 Error: $76.19 SLE: 0.13 Item: Fine Fixtures LUXURY VESSEL OVAL 20 X 15...\u001b[0m\n", + "\u001b[91m135: Guess: $150.00 Truth: $206.49 Error: $56.49 SLE: 0.10 Item: Kohler K-6235-NA, 4.00 x 12.63 x 18.69 i...\u001b[0m\n", + "\u001b[91m136: Guess: $168.00 Truth: $227.99 Error: $59.99 SLE: 0.09 Item: Power Stop EBR1453XPR Rear Evolution Dri...\u001b[0m\n", + "\u001b[91m137: Guess: $750.00 Truth: $419.90 Error: $330.10 SLE: 0.34 Item: Lenovo ThinkPad P50 Workstation Laptop -...\u001b[0m\n", + "\u001b[92m138: Guess: $129.00 Truth: $147.26 Error: $18.26 SLE: 0.02 Item: Thrashin Supply 1\" Handlebar (Mid-Bend) ...\u001b[0m\n", + "\u001b[93m139: Guess: $399.00 Truth: $429.00 Error: $30.00 SLE: 0.01 Item: HP - Pavilion x360 2-in-1 11.6\" Touch-Sc...\u001b[0m\n", + "\u001b[91m140: Guess: $299.00 Truth: $359.99 Error: $60.99 SLE: 0.03 Item: Airmax ClearPAC Plus Complete Pond Care ...\u001b[0m\n", + "\u001b[92m141: Guess: $60.00 Truth: $78.00 Error: $18.00 SLE: 0.07 Item: Werner 55-1 Attic Ladder Replacement Hin...\u001b[0m\n", + "\u001b[91m142: Guess: $175.00 Truth: $279.00 Error: $104.00 SLE: 0.22 Item: CoolingSky 3 Row Core Aluminum Radiator ...\u001b[0m\n", + "\u001b[91m143: Guess: $125.00 Truth: $214.97 Error: $89.97 SLE: 0.29 Item: AMD FX 8-Core Black Edition FX-8350 Proc...\u001b[0m\n", + "\u001b[91m144: Guess: $350.00 Truth: $509.99 Error: $159.99 SLE: 0.14 Item: Sole Designs Marie Collection Modern Uph...\u001b[0m\n", + "\u001b[91m145: Guess: $699.00 Truth: $899.99 Error: $200.99 SLE: 0.06 Item: Tama Drum Set (IE52CCPM)\u001b[0m\n", + "\u001b[93m146: Guess: $109.00 Truth: $135.99 Error: $26.99 SLE: 0.05 Item: Wall or 9ft Ceiling Mount Pull Up Bar by...\u001b[0m\n", + "\u001b[93m147: Guess: $199.00 Truth: $176.50 Error: $22.50 SLE: 0.01 Item: Delta -faucet 59799-CZ-PR-PK Universal S...\u001b[0m\n", + "\u001b[91m148: Guess: $375.00 Truth: $617.37 Error: $242.37 SLE: 0.25 Item: New Generation 05-101-SR100 Premium Clut...\u001b[0m\n", + "\u001b[93m149: Guess: $109.00 Truth: $79.99 Error: $29.01 SLE: 0.09 Item: Samsung HLT7288W Rear Projector TV Assem...\u001b[0m\n", + "\u001b[91m150: Guess: $89.00 Truth: $136.99 Error: $47.99 SLE: 0.18 Item: 2xhome EMRocker(Black) Rocking Chair\u001b[0m\n", + "\u001b[92m151: Guess: $85.00 Truth: $72.53 Error: $12.47 SLE: 0.02 Item: FOOTMASTER GDR-80S Nylon Wheel and NBR P...\u001b[0m\n", + "\u001b[91m152: Guess: $479.00 Truth: $589.99 Error: $110.99 SLE: 0.04 Item: MBRP S5259409 4\" Cat Back, Single Exhaus...\u001b[0m\n", + "\u001b[92m153: Guess: $76.00 Truth: $69.99 Error: $6.01 SLE: 0.01 Item: MaxAuto 11x4.00-5\" Flat Free Zero Turn M...\u001b[0m\n", + "\u001b[91m154: Guess: $160.00 Truth: $469.99 Error: $309.99 SLE: 1.15 Item: Delta Faucet 5-Spray Slide Bar Hand Held...\u001b[0m\n", + "\u001b[92m155: Guess: $154.00 Truth: $152.31 Error: $1.69 SLE: 0.00 Item: GEARWRENCH 9 Pc. 12 Pt. XL X-Beam Flex H...\u001b[0m\n", + "\u001b[92m156: Guess: $32.00 Truth: $32.99 Error: $0.99 SLE: 0.00 Item: CLUCI Shoulder Bag,Purses for Women Dump...\u001b[0m\n", + "\u001b[91m157: Guess: $299.00 Truth: $225.88 Error: $73.12 SLE: 0.08 Item: Woodbridge Lighting 13424STN-M10IRI 3-Li...\u001b[0m\n", + "\u001b[93m158: Guess: $780.00 Truth: $815.05 Error: $35.05 SLE: 0.00 Item: Apple MacBook Pro 15\" Retina Core i7 2.7...\u001b[0m\n", + "\u001b[92m159: Guess: $59.00 Truth: $74.99 Error: $15.99 SLE: 0.06 Item: Meike 25mm F1.8 Large Aperture Wide Angl...\u001b[0m\n", + "\u001b[92m160: Guess: $45.00 Truth: $52.99 Error: $7.99 SLE: 0.03 Item: Gorsenia K357 Women's Blanca Floral Lace...\u001b[0m\n", + "\u001b[91m161: Guess: $412.00 Truth: $519.99 Error: $107.99 SLE: 0.05 Item: TCMT 13.7\" King Tour Pack Trunk Backrest...\u001b[0m\n", + "\u001b[91m162: Guess: $132.00 Truth: $299.00 Error: $167.00 SLE: 0.66 Item: Rockin' Wood Extra Wide Real Wood Nail U...\u001b[0m\n", + "\u001b[92m163: Guess: $135.00 Truth: $147.36 Error: $12.36 SLE: 0.01 Item: A.O. Smith 5 5/8 Inch Diameter Motor 208...\u001b[0m\n", + "\u001b[92m164: Guess: $350.00 Truth: $356.99 Error: $6.99 SLE: 0.00 Item: Toshiba 17.3-Inch HD Laptop PC (Intel Co...\u001b[0m\n", + "\u001b[93m165: Guess: $199.00 Truth: $159.03 Error: $39.97 SLE: 0.05 Item: Davis & Sanford TR654C-36 Traverse Carbo...\u001b[0m\n", + "\u001b[91m166: Guess: $109.00 Truth: $159.99 Error: $50.99 SLE: 0.15 Item: JYLH JOYSEEKER Mobile Standing Desk, 28 ...\u001b[0m\n", + "\u001b[91m167: Guess: $795.00 Truth: $599.00 Error: $196.00 SLE: 0.08 Item: illy X1 Espresso Machine, 13 x 9.8 x 10....\u001b[0m\n", + "\u001b[91m168: Guess: $425.00 Truth: $176.79 Error: $248.21 SLE: 0.76 Item: SAFAVIEH Aspen Collection 7' Round Light...\u001b[0m\n", + "\u001b[92m169: Guess: $75.00 Truth: $91.77 Error: $16.77 SLE: 0.04 Item: Stealth Cam STC-E28 7.0 Megapixel Digita...\u001b[0m\n", + "\u001b[91m170: Guess: $245.00 Truth: $323.89 Error: $78.89 SLE: 0.08 Item: HONLM7236PNC - HON Foundation Desk Shell...\u001b[0m\n", + "\u001b[91m171: Guess: $249.00 Truth: $382.93 Error: $133.93 SLE: 0.18 Item: ABCCANOPY Patio Pop Up Canopy Tent with ...\u001b[0m\n", + "\u001b[91m172: Guess: $49.00 Truth: $153.95 Error: $104.95 SLE: 1.28 Item: Cosmas 25 Pack 702-4ORB Oil Rubbed Bronz...\u001b[0m\n", + "\u001b[91m173: Guess: $425.00 Truth: $317.73 Error: $107.27 SLE: 0.08 Item: AirDog (R3SBD100) Raptor Lift Pump\u001b[0m\n", + "\u001b[91m174: Guess: $90.00 Truth: $191.99 Error: $101.99 SLE: 0.57 Item: Petra ULV500 Hypochlorous Acid 500PPM (4...\u001b[0m\n", + "\u001b[91m175: Guess: $175.00 Truth: $352.70 Error: $177.70 SLE: 0.49 Item: GM Genuine Parts 172-2522 Yellow Front P...\u001b[0m\n", + "\u001b[92m176: Guess: $14.00 Truth: $32.99 Error: $18.99 SLE: 0.67 Item: WEIXUERO Women Gold Leather Belts Sparkl...\u001b[0m\n", + "\u001b[92m177: Guess: $108.00 Truth: $114.04 Error: $6.04 SLE: 0.00 Item: Reebok Women's Fusion Flexweave Safety T...\u001b[0m\n", + "\u001b[92m178: Guess: $95.00 Truth: $113.00 Error: $18.00 SLE: 0.03 Item: Tonerider TRS4-SET Guitar Pickup Set\u001b[0m\n", + "\u001b[93m179: Guess: $99.00 Truth: $76.99 Error: $22.01 SLE: 0.06 Item: SVBONY SV132 Telescope Filter, 2 inches ...\u001b[0m\n", + "\u001b[93m180: Guess: $425.00 Truth: $399.67 Error: $25.33 SLE: 0.00 Item: Trans Globe Lighting TG4719 BRZ Traditio...\u001b[0m\n", + "\u001b[91m181: Guess: $150.00 Truth: $90.54 Error: $59.46 SLE: 0.25 Item: HP Elite Desktop Computer, Intel Core i5...\u001b[0m\n", + "\u001b[93m182: Guess: $199.00 Truth: $235.99 Error: $36.99 SLE: 0.03 Item: Bumble Bee Cable Protector - 5 Channel\u001b[0m\n", + "\u001b[91m183: Guess: $150.00 Truth: $428.73 Error: $278.73 SLE: 1.09 Item: Scotsman 12-2586-21 Pump Water\u001b[0m\n", + "\u001b[92m184: Guess: $412.00 Truth: $399.38 Error: $12.62 SLE: 0.00 Item: Fowler 54-100-024-1, Xtra-Range Digital ...\u001b[0m\n", + "\u001b[91m185: Guess: $420.00 Truth: $613.45 Error: $193.45 SLE: 0.14 Item: Armordillo USA 7168466 AR Pre-Runner Sty...\u001b[0m\n", + "\u001b[91m186: Guess: $459.00 Truth: $192.40 Error: $266.60 SLE: 0.75 Item: HP Z240 Workstation SFF Desktop PC, Inte...\u001b[0m\n", + "\u001b[91m187: Guess: $499.00 Truth: $549.00 Error: $50.00 SLE: 0.01 Item: Twotrees CNC Router Machine, 3-Axis CNC ...\u001b[0m\n", + "\u001b[91m188: Guess: $225.00 Truth: $372.82 Error: $147.82 SLE: 0.25 Item: MSI Gaming GeForce RTX 2060 6GB GDRR6 19...\u001b[0m\n", + "\u001b[91m189: Guess: $899.00 Truth: $742.00 Error: $157.00 SLE: 0.04 Item: Elinchrom Indirect Litemotiv Octa Softbo...\u001b[0m\n", + "\u001b[92m190: Guess: $130.00 Truth: $114.98 Error: $15.02 SLE: 0.01 Item: Vintage Foundry Co. Wilfred Men’s Fashio...\u001b[0m\n", + "\u001b[91m191: Guess: $175.00 Truth: $130.00 Error: $45.00 SLE: 0.09 Item: Jawa Fashion 10K Yellow Gold Men Women's...\u001b[0m\n", + "\u001b[91m192: Guess: $129.00 Truth: $64.99 Error: $64.01 SLE: 0.46 Item: Gourmia GCM6850 Automatic Digital Cold B...\u001b[0m\n", + "\u001b[91m193: Guess: $420.00 Truth: $243.34 Error: $176.66 SLE: 0.30 Item: Lenovo ThinkStation P300 Small Form Desk...\u001b[0m\n", + "\u001b[92m194: Guess: $50.00 Truth: $48.00 Error: $2.00 SLE: 0.00 Item: Speedo Men's Xtra Life Lycra Fractal Poi...\u001b[0m\n", + "\u001b[91m195: Guess: $365.00 Truth: $190.99 Error: $174.01 SLE: 0.42 Item: Valmont Professional Energy Ritual Prime...\u001b[0m\n", + "\u001b[91m196: Guess: $85.00 Truth: $143.64 Error: $58.64 SLE: 0.27 Item: Lucida Surfaces Luxury Vinyl Floor Tiles...\u001b[0m\n", + "\u001b[92m197: Guess: $950.00 Truth: $968.99 Error: $18.99 SLE: 0.00 Item: AmScope 7X-45X Black Trinocular Stereo Z...\u001b[0m\n", + "\u001b[92m198: Guess: $29.00 Truth: $17.99 Error: $11.01 SLE: 0.21 Item: Chen Miranda Great Dane Dog Double-Sided...\u001b[0m\n", + "\u001b[92m199: Guess: $175.00 Truth: $162.99 Error: $12.01 SLE: 0.00 Item: TOREAD CCP420 Pool Filter Replaces Penta...\u001b[0m\n", + "\u001b[91m200: Guess: $399.00 Truth: $135.99 Error: $263.01 SLE: 1.15 Item: 4K Night Vision Goggles, 4.5'' Large Scr...\u001b[0m\n", + "\u001b[91m201: Guess: $649.00 Truth: $829.00 Error: $180.00 SLE: 0.06 Item: Scubapro Seahawk2 BCD with Balanced Infl...\u001b[0m\n", + "\u001b[91m202: Guess: $795.00 Truth: $466.89 Error: $328.11 SLE: 0.28 Item: OSP Home Furnishings Country Meadows L-S...\u001b[0m\n", + "\u001b[91m203: Guess: $799.00 Truth: $729.99 Error: $69.01 SLE: 0.01 Item: Dell U4320Q 43 Inch 2160p 4K UltraSharp,...\u001b[0m\n", + "\u001b[92m204: Guess: $40.00 Truth: $56.00 Error: $16.00 SLE: 0.11 Item: SOUL Naturalizer Women's, Sing 2 Thong S...\u001b[0m\n", + "\u001b[92m205: Guess: $250.00 Truth: $234.95 Error: $15.05 SLE: 0.00 Item: Dakine D.100.4761.964.OS Concourse Hards...\u001b[0m\n", + "\u001b[93m206: Guess: $89.00 Truth: $119.99 Error: $30.99 SLE: 0.09 Item: Maxzzz 4 Inch Memory Foam Mattress Toppe...\u001b[0m\n", + "\u001b[91m207: Guess: $700.00 Truth: $329.95 Error: $370.05 SLE: 0.56 Item: Diamond2Deal Platinum 2mm Half-Round Wed...\u001b[0m\n", + "\u001b[91m208: Guess: $412.00 Truth: $244.99 Error: $167.01 SLE: 0.27 Item: Good Directions Blue Heron Weathervane, ...\u001b[0m\n", + "\u001b[91m209: Guess: $550.00 Truth: $650.00 Error: $100.00 SLE: 0.03 Item: DY'ON Anatomic Bridle, Brown\u001b[0m\n", + "\u001b[91m210: Guess: $620.00 Truth: $899.00 Error: $279.00 SLE: 0.14 Item: LifeYard 46\" Steel Square Picnic Table,E...\u001b[0m\n", + "\u001b[92m211: Guess: $24.00 Truth: $22.99 Error: $1.01 SLE: 0.00 Item: Women’s Corgi And Pizza Printed Zip Wall...\u001b[0m\n", + "\u001b[91m212: Guess: $699.00 Truth: $875.96 Error: $176.96 SLE: 0.05 Item: Power Stop KC2443-36 Front & Rear Z36 Tr...\u001b[0m\n", + "\u001b[91m213: Guess: $449.00 Truth: $328.37 Error: $120.63 SLE: 0.10 Item: Progressive Furniture Midori Counter Tab...\u001b[0m\n", + "\u001b[91m214: Guess: $293.00 Truth: $200.53 Error: $92.47 SLE: 0.14 Item: Genuine Hyundai 92101-1R010 Left-Hand He...\u001b[0m\n", + "\u001b[91m215: Guess: $249.00 Truth: $329.00 Error: $80.00 SLE: 0.08 Item: HP 2021 Chromebook 14 Inch FHD 1080P Lap...\u001b[0m\n", + "\u001b[91m216: Guess: $85.00 Truth: $146.93 Error: $61.93 SLE: 0.29 Item: Medi-Pak Performance Conforming Gauze Ba...\u001b[0m\n", + "\u001b[93m217: Guess: $42.00 Truth: $63.00 Error: $21.00 SLE: 0.16 Item: I Dig Crystals Angelite Bracelet Boutiqu...\u001b[0m\n", + "\u001b[91m218: Guess: $435.00 Truth: $357.00 Error: $78.00 SLE: 0.04 Item: Dell P2721Q 27 Inch 4K FHD, IP Ultra-Thi...\u001b[0m\n", + "\u001b[93m219: Guess: $38.00 Truth: $61.99 Error: $23.99 SLE: 0.23 Item: 20 Pc Set Pack Blu-MOL Xtreme Bi Metal R...\u001b[0m\n", + "\u001b[91m220: Guess: $459.00 Truth: $296.99 Error: $162.01 SLE: 0.19 Item: Twin Over Twin Bunk Beds with 2 Drawers ...\u001b[0m\n", + "\u001b[91m221: Guess: $290.00 Truth: $335.00 Error: $45.00 SLE: 0.02 Item: Drill Bit Sharpener Tormek DBS-22 - The ...\u001b[0m\n", + "\u001b[91m222: Guess: $45.00 Truth: $284.00 Error: $239.00 SLE: 3.33 Item: Lenovo ThinkServer 4GB DDR3L-1600MHz (1R...\u001b[0m\n", + "\u001b[91m223: Guess: $599.00 Truth: $770.99 Error: $171.99 SLE: 0.06 Item: Recessed Wall Ventless Bio Ethanol Firep...\u001b[0m\n", + "\u001b[91m224: Guess: $175.00 Truth: $350.41 Error: $175.41 SLE: 0.48 Item: Garage-Pro Rear Step Bumper Compatible w...\u001b[0m\n", + "\u001b[91m225: Guess: $450.00 Truth: $254.99 Error: $195.01 SLE: 0.32 Item: Dell 7050 SFF Desktop Intel i7-6700 UP t...\u001b[0m\n", + "\u001b[92m226: Guess: $75.00 Truth: $92.50 Error: $17.50 SLE: 0.04 Item: Barski - European Glass -Crystalline - V...\u001b[0m\n", + "\u001b[92m227: Guess: $175.00 Truth: $157.99 Error: $17.01 SLE: 0.01 Item: Lutema Platinum Bulb for JVC LX-WX50 Pro...\u001b[0m\n", + "\u001b[93m228: Guess: $299.00 Truth: $323.19 Error: $24.19 SLE: 0.01 Item: Outdoor Research Men's Skyward Jacket\u001b[0m\n", + "\u001b[91m229: Guess: $69.00 Truth: $123.19 Error: $54.19 SLE: 0.33 Item: Jensen Speaker, Green, 8-Inch (P8R8)\u001b[0m\n", + "\u001b[91m230: Guess: $290.00 Truth: $150.99 Error: $139.01 SLE: 0.42 Item: Peora Solid 14K White Gold Peridot and D...\u001b[0m\n", + "\u001b[92m231: Guess: $15.00 Truth: $17.99 Error: $2.99 SLE: 0.03 Item: FLNA Nail Kit Ingrown Toenail Clippers T...\u001b[0m\n", + "\u001b[93m232: Guess: $129.00 Truth: $160.00 Error: $31.00 SLE: 0.05 Item: J JINPEI Heated Thermal Underwear for Me...\u001b[0m\n", + "\u001b[92m233: Guess: $110.00 Truth: $120.89 Error: $10.89 SLE: 0.01 Item: Eureka Lightweight Powerful Upright Vacu...\u001b[0m\n", + "\u001b[91m234: Guess: $750.00 Truth: $900.00 Error: $150.00 SLE: 0.03 Item: Lexmark CX510DE Color Multifunction - Pr...\u001b[0m\n", + "\u001b[92m235: Guess: $24.00 Truth: $16.90 Error: $7.10 SLE: 0.11 Item: Vermont SKI Mountains Winter Sport Famil...\u001b[0m\n", + "\u001b[91m236: Guess: $299.00 Truth: $349.95 Error: $50.95 SLE: 0.02 Item: Rough Country 6\" Loaded N3 Lifted Struts...\u001b[0m\n", + "\u001b[93m237: Guess: $25.00 Truth: $45.99 Error: $20.99 SLE: 0.35 Item: Schwinn Thrasher Adult Lightweight Bike ...\u001b[0m\n", + "\u001b[93m238: Guess: $60.00 Truth: $92.15 Error: $32.15 SLE: 0.18 Item: Creative Co-Op Round Framed Decor with V...\u001b[0m\n", + "\u001b[91m239: Guess: $399.00 Truth: $279.00 Error: $120.00 SLE: 0.13 Item: 2TB NVME PCle Gen 5 (5x4) SSD E26 Speed ...\u001b[0m\n", + "\u001b[91m240: Guess: $299.00 Truth: $245.99 Error: $53.01 SLE: 0.04 Item: FEELWORLD LIVEPRO L1 4 x HDMI Inputs Mul...\u001b[0m\n", + "\u001b[91m241: Guess: $399.00 Truth: $609.98 Error: $210.98 SLE: 0.18 Item: GForce Portable Dual Motor 1500 Watt Who...\u001b[0m\n", + "\u001b[91m242: Guess: $275.00 Truth: $228.95 Error: $46.05 SLE: 0.03 Item: B&M 11314 Differential Cover\u001b[0m\n", + "\u001b[91m243: Guess: $899.00 Truth: $990.43 Error: $91.43 SLE: 0.01 Item: Minn Kota 1358733 PowerDrive Freshwater ...\u001b[0m\n", + "\u001b[91m244: Guess: $374.00 Truth: $536.50 Error: $162.50 SLE: 0.13 Item: Amazon Brand – Rivet Charlotte Mid-Centu...\u001b[0m\n", + "\u001b[91m245: Guess: $53.00 Truth: $225.00 Error: $172.00 SLE: 2.05 Item: Horse First Supplements RelaxMe\u001b[0m\n", + "\u001b[91m246: Guess: $203.00 Truth: $283.83 Error: $80.83 SLE: 0.11 Item: Sherman Replacement Part Compatible with...\u001b[0m\n", + "\u001b[91m247: Guess: $399.00 Truth: $464.89 Error: $65.89 SLE: 0.02 Item: Putco Pop Up Locker Rails Fits Chevy Sil...\u001b[0m\n", + "\u001b[92m248: Guess: $293.00 Truth: $291.99 Error: $1.01 SLE: 0.00 Item: Pertronix D131800 Flame-Thrower Plug and...\u001b[0m\n", + "\u001b[91m249: Guess: $290.00 Truth: $349.00 Error: $59.00 SLE: 0.03 Item: Powerblanket EH0304 Ground Thawing Blank...\u001b[0m\n", + "\u001b[92m250: Guess: $199.00 Truth: $209.99 Error: $10.99 SLE: 0.00 Item: PAOLFOX 4 Piece Patio Porch Furniture Se...\u001b[0m\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "runner = TestRunner(frontier_predictor, test, \"GPT-4o Frontier Prediction\").run()" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "id": "f7e24d6b-59a2-464a-95a9-14a9fbfadd4d", + "metadata": {}, + "outputs": [], + "source": [ + "bos = \"<|begin_of_text|>\"\n", + "eos = \"<|end_of_text|>\"\n", + "def clean(text):\n", + " return text.replace(bos, \"\").replace(eos, \"\")" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "id": "059b6c74-917f-4cb1-b810-ce70735a57be", + "metadata": {}, + "outputs": [], + "source": [ + "train_prompts = [clean(item.prompt) for item in train]\n", + "train_prices = [item.price for item in train]\n", + "test_prompts = [clean(item.test_prompt()) for item in test]\n", + "test_prices = [item.price for item in test]" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "id": "b8ba48cb-da5e-4ddb-8955-8a94e62ea8e0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "\"Question: how much does this cost to the nearest dollar?\\n\\nTitle: IRON COMPANY Body-Solid Commercial Bench/Squat Rack Combo Package\\nDetails: Designed with an extra-wide 4-point stance, the SDIB370 is a rock-solid performer that features a 7 degree reverse pitch that accommodates your body's natural lifting path. Lift-off and safety positions are right where you want the so racking the bar is always comfortable and predictable. Perform squats, calf raises, lunges, dead-lifts, upright rows, and many, many more power building exercises. Weight plates, bar, and collars as shown in manufacturer stock photo are for demonstration purposes only and are NOT included. 14-position gun rack can handle over 1,000 lbs. and gives the user the ability to walk the bar up and down without removing plates. Features 4 Olympic storage posts that suspend weight plates for quick and easy access while keeping your workout area organized. Back pad adjusts flat, incline (15, 30, 45, 60 and 80 degrees) and decline (-18 degrees) Seat pad adjusts flat, 10, and 18 degrees Total footprint 78 L x65 w x 74 H. Bar, weight plates, and collars NOT included. Weight 1 Pounds, Brand Name IRON COMPANY, Manufacturer Ironcompany.com, Part SDIB370, Available December 14, 2013\\n\\nAnswer: Price is $995.00\"" + ] + }, + "execution_count": 85, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train_prompts[1]" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "id": "f9ee2e90-79b6-4232-b955-b1c67bc3d600", + "metadata": {}, + "outputs": [], + "source": [ + "# Create a Dataset from the lists\n", + "train_dataset = Dataset.from_dict({\"text\": train_prompts, \"price\": train_prices})\n", + "test_dataset = Dataset.from_dict({\"text\": test_prompts, \"price\": test_prices})\n", + "dataset = DatasetDict({\n", + " \"train\": train_dataset,\n", + " \"test\": test_dataset\n", + "})" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "id": "e69e26a5-4b24-4e0f-8944-731c534b285b", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "8d83a161841b4e36aec2df3c55a2ce39", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Uploading the dataset shards: 0%| | 0/2 [00:00= low and token_count < high" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "059152d0-a68a-4e93-b759-45f3c6baf31e", + "metadata": {}, + "outputs": [], + "source": [ + "# Create a list called \"items\" with all our datapoints that have a valid price\n", + "\n", + "items = []\n", + "for data in tqdm(dataset):\n", + " try:\n", + " if float(data['price']) > 0:\n", + " items.append(Item(data))\n", + " except ValueError:\n", + " pass" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "011bffcf-03f8-4f0d-8999-b53d1ac88624", + "metadata": {}, + "outputs": [], + "source": [ + "# Let's investigate:\n", + "\n", + "print(f\"There are {len(items):,} out of {len(dataset):,} with prices\\n\")\n", + "print(f\"Item 0 has {items[0].token_count()} tokens:\\n\")\n", + "print(items[0].train_prompt())\n", + "print(f\"\\nItem 1 has {items[1].token_count()} tokens:\\n\")\n", + "print(items[1].train_prompt())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fcf74830-1e97-4543-b454-eefd314fc106", + "metadata": {}, + "outputs": [], + "source": [ + "# Plot the distribution of character count\n", + "\n", + "lengths = [len(item.train_prompt()) for item in items]\n", + "fig, ax = plt.subplots(1, 1)\n", + "ax.set_xlabel('Length')\n", + "ax.set_ylabel('Count of items');\n", + "_ = ax.hist(lengths, rwidth=0.7, color=\"lightblue\", bins=range(0, 5000, 250))\n", + "\n", + "print(f\"Average length is {sum(lengths)/len(lengths):,.1f} and highest length is {max(lengths):,}\\n\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "af1d6c8b-f2ae-4691-9306-989b1bd45233", + "metadata": {}, + "outputs": [], + "source": [ + "print(f\"There are total {len(items):,} items\")\n", + "cutoff = 1200\n", + "selection = [item for item in items if len(item.train_prompt()) < cutoff]\n", + "print(f\"There are total {len(selection):,} with under {cutoff:,} character training prompt\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "42231dc7-66fb-4437-ba08-7689514a8b19", + "metadata": {}, + "outputs": [], + "source": [ + "# Calculate token sizes in selection\n", + "\n", + "token_counts = [item.token_count() for item in tqdm(selection)]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d5dde349-610a-4e96-a2ea-9178a9c1fa2a", + "metadata": {}, + "outputs": [], + "source": [ + "# Plot the distribution of tokens\n", + "\n", + "fig, ax = plt.subplots(1, 1)\n", + "ax.set_xlabel('Number of tokens')\n", + "ax.set_ylabel('Count of items');\n", + "_ = ax.hist(token_counts, rwidth=0.7, color=\"orange\", bins=range(0, 500, 25))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1232004a-ff9b-486a-a14b-70f21c217c8d", + "metadata": {}, + "outputs": [], + "source": [ + "# Let's limit our dataset to documents with 60-180 tokens\n", + "\n", + "low_cutoff = 60\n", + "high_cutoff = 180\n", + "subset = [item for item in tqdm(selection) if item.tokens_between(low_cutoff, high_cutoff)]\n", + "subset_count = len(subset)\n", + "count = len(items)\n", + "print(f\"\\nBetween {low_cutoff} and {high_cutoff}, we get {subset_count:,} out of {count:,} which is {subset_count/count*100:.1f}%\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7bc11e4f-5a15-48fd-b571-92e2e10b0323", + "metadata": {}, + "outputs": [], + "source": [ + "# Plot the distribution again to check it looks as expected\n", + "\n", + "token_counts = [item.token_count() for item in subset]\n", + "fig, ax = plt.subplots(1, 1)\n", + "ax.set_xlabel('Number of tokens')\n", + "ax.set_ylabel('Count of items');\n", + "_ = ax.hist(token_counts, rwidth=0.7, color=\"purple\", bins=range(0, 300, 10))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "50d88feb-d0ee-4abf-a013-7d11a7e4e2cd", + "metadata": {}, + "outputs": [], + "source": [ + "# Plot the distribution of prices\n", + "\n", + "prices = [float(item.price) for item in subset]\n", + "fig, ax = plt.subplots(1, 1)\n", + "ax.set_xlabel('Price ($)')\n", + "ax.set_ylabel('Count of items');\n", + "_ = ax.hist(prices, rwidth=0.7, color=\"darkblue\", bins=range(0, 500, 20))\n", + "\n", + "print(f\"Average price is ${sum(prices)/len(prices):.2f} and highest price is ${max(prices):,.2f}\\n\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3718a8e6-6c87-4351-8c27-9e61745b0991", + "metadata": {}, + "outputs": [], + "source": [ + "# Pick the most expensive 30,000 items, then pick 12,000 of the next 20,000\n", + "\n", + "random.seed(42)\n", + "sorted_subset = sorted(subset, key=lambda item: item.price, reverse=True)\n", + "top_30k = sorted_subset[:30000]\n", + "other_12k = random.sample(sorted_subset[30000:50000], k=12000)\n", + "sample = top_30k + other_12k\n", + "print(len(sample))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3cd1c4d3-b6e4-4f28-8ad4-709c4637626c", + "metadata": {}, + "outputs": [], + "source": [ + "# Plot the distribution of prices\n", + "\n", + "prices = [float(item.price) for item in sample]\n", + "fig, ax = plt.subplots(1, 1)\n", + "ax.set_xlabel('Price ($)')\n", + "ax.set_ylabel('Count of items');\n", + "_ = ax.hist(prices, rwidth=0.7, color=\"orange\", bins=range(0, 500, 20))\n", + "\n", + "print(f\"Average price is ${sum(prices)/len(prices):.2f} and highest price is ${max(prices):,.2f}\\n\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "38d31aa3-8a3a-4626-9c50-f55635ca6d18", + "metadata": {}, + "outputs": [], + "source": [ + "sizes = [len(item.train_prompt()) for item in sample]\n", + "prices = [item.price for item in sample]\n", + "\n", + "# Create the scatter plot\n", + "plt.figure(figsize=(10, 6))\n", + "plt.scatter(sizes, prices, s=2, color=\"red\")\n", + "\n", + "# Add labels and title\n", + "plt.xlabel('Size')\n", + "plt.ylabel('Price')\n", + "plt.title('Item Price vs Size')\n", + "\n", + "# Display the plot\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f8cfa1af-aadd-416b-b0f9-2bb5fd4d2263", + "metadata": {}, + "outputs": [], + "source": [ + "# Plot the distribution again to check it looks as expected\n", + "\n", + "token_counts = [item.token_count() for item in subset]\n", + "fig, ax = plt.subplots(1, 1)\n", + "ax.set_xlabel('Number of tokens')\n", + "ax.set_ylabel('Count of items');\n", + "_ = ax.hist(token_counts, rwidth=0.7, color=\"purple\", bins=range(0, 300, 10))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cacb9059-5f44-4601-860a-30860cebe9c2", + "metadata": {}, + "outputs": [], + "source": [ + "random.seed(42)\n", + "random.shuffle(sample)\n", + "train = sample[:40000]\n", + "test = sample[40000:]\n", + "print(f\"Divided into a training set of {len(train):,} items and test set of {len(test):,} items\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "dd7c5db1-4510-4768-bef1-bdac2a7b392f", + "metadata": {}, + "outputs": [], + "source": [ + "average = sum(t.price for t in train)/len(train)\n", + "average" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "95353e68-07ac-4f57-8d57-dd48cacb0e04", + "metadata": {}, + "outputs": [], + "source": [ + "class TestRunner:\n", + "\n", + " def __init__(self, predictor, data, size=None):\n", + " self.predictor = predictor\n", + " self.data = data\n", + " self.size = size or len(data)\n", + " self.guesses = []\n", + " self.truths = []\n", + " self.errors = []\n", + "\n", + " def run_datapoint(self, i):\n", + " datapoint = self.data[i]\n", + " guess = self.predictor(datapoint)\n", + " truth = datapoint.price\n", + " error = abs(guess - truth)\n", + " color = RED if error>=20 else YELLOW if error>=10 else GREEN\n", + " title = datapoint.title if len(datapoint.title) <= 40 else datapoint.title[:40]+\"...\"\n", + " self.guesses.append(guess)\n", + " self.truths.append(truth)\n", + " self.errors.append(error)\n", + " print(f\"{color}{i+1}: Guess: ${guess:,.2f} Truth: ${truth:,.2f} Error: ${error:,.2f} Item: {title}{RESET}\")\n", + "\n", + " def chart(self):\n", + " max_error = max(self.errors)\n", + " colors = [(max_error - error)**3 for error in self.errors]\n", + " plt.figure(figsize=(10, 6))\n", + " plt.scatter(self.truths, self.guesses, s=2, c=colors, cmap='RdYlGn')\n", + " plt.xlabel('Truth')\n", + " plt.ylabel('Guess')\n", + " plt.title('Guess vs Truth')\n", + " plt.show()\n", + "\n", + " def run(self):\n", + " self.error = 0\n", + " for i in range(self.size):\n", + " self.run_datapoint(i)\n", + " average_error = sum(self.errors) / self.size\n", + " print(f\"Average Error = ${average_error:,.2f}\")\n", + " hits = [e for e in self.errors if e<10]\n", + " print(f\"Hit rate = {len(hits)/self.size*100:.1f}%\")\n", + " self.chart()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e3a8519f-c139-4c72-8d9c-39ccedda2f7b", + "metadata": {}, + "outputs": [], + "source": [ + "def flat_predictor(item):\n", + " return 218.28366025006002" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "739d2e33-55d4-4892-b42c-771131159c8d", + "metadata": {}, + "outputs": [], + "source": [ + "TestRunner(flat_predictor, test, 100).run()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d6a6c4a5-e817-46b8-99d2-9c4ecf9c8685", + "metadata": {}, + "outputs": [], + "source": [ + "stop = set(['the', 'and', 'for', 'is', 'to', 'this', 'with', 'a', 'of', 'your', 'are', 'in','from', 'you', 'or', 'an'])\n", + "\n", + "def words(item):\n", + " text = f\"{item.title} {item.description} {item.features}\"\n", + " text = re.sub(r'[()\\[\\]{},\\'\"-]', ' ', text)\n", + " text = re.sub(r'\\s+', ' ', text)\n", + " words = text.strip().lower().split(' ')\n", + " filtered = [word for word in words if word not in stop]\n", + " return \" \".join(filtered)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "262fc576-7606-426c-8aea-5799b3952d2c", + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.feature_extraction.text import CountVectorizer\n", + "from sklearn.linear_model import LinearRegression\n", + "import numpy as np\n", + "\n", + "np.random.seed(42)\n", + "\n", + "documents = [words(item) for item in train]\n", + "labels = np.array([float(item.price) for item in train])\n", + "\n", + "vectorizer = CountVectorizer()\n", + "X = vectorizer.fit_transform(documents)\n", + "\n", + "regressor = LinearRegression()\n", + "regressor.fit(X, labels)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bd782b21-8e44-409d-a7b6-f136974958b4", + "metadata": {}, + "outputs": [], + "source": [ + "def linear_regression_predictor(item):\n", + " np.random.seed(42)\n", + " x = vectorizer.transform([words(item)])\n", + " return max(regressor.predict(x)[0], 0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "80e77aae-0071-42e9-8e24-d3aec5256015", + "metadata": {}, + "outputs": [], + "source": [ + "TestRunner(linear_regression_predictor, test, 100).run()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a70d16ce-bdf1-4071-8c5a-5bddc2aa37e4", + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.feature_extraction.text import TfidfVectorizer\n", + "from sklearn.svm import SVR\n", + "\n", + "np.random.seed(42)\n", + "\n", + "documents = [words(item) for item in train]\n", + "labels = np.array([float(item.price) for item in train])\n", + "\n", + "vectorizer = TfidfVectorizer()\n", + "X = vectorizer.fit_transform(documents)\n", + "\n", + "regressor = SVR(kernel='linear')\n", + "regressor.fit(X, labels)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "64560112-3bfb-45cc-b489-de619a2eca20", + "metadata": {}, + "outputs": [], + "source": [ + "def svr_predictor(item):\n", + " np.random.seed(42)\n", + " x = vectorizer.transform([words(item)])\n", + " return max(regressor.predict(x)[0], 0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "392598d4-2deb-4935-9175-fd111616b13c", + "metadata": {}, + "outputs": [], + "source": [ + "TestRunner(svr_predictor, test, 100).run()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "60010699-d26b-4f93-a959-50272ada6a57", + "metadata": {}, + "outputs": [], + "source": [ + "def messages_for(item):\n", + " system_message = \"You predict prices based on a description. Reply only with the price in $, no explanation or comments\"\n", + " user_prompt = item.question()\n", + " return [\n", + " {\"role\": \"system\", \"content\": system_message},\n", + " {\"role\": \"user\", \"content\": user_prompt}\n", + " ]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2d5c1a62-9c6e-4c1c-b051-95a78e6e32a7", + "metadata": {}, + "outputs": [], + "source": [ + "def get_price(s):\n", + " s = s.replace('$','').replace(',','')\n", + " match = re.search(r\"[-+]?\\d*\\.\\d+|\\d+\", s)\n", + " return float(match.group()) if match else 0" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9c845d34-1c73-4636-a6ec-cc6666bb39fa", + "metadata": {}, + "outputs": [], + "source": [ + "def gpt_predictor(item):\n", + " response = openai.chat.completions.create(\n", + " model=OPENAI_MODEL,\n", + " messages=messages_for(item),\n", + " seed=42\n", + " )\n", + " reply = response.choices[0].message.content\n", + " return get_price(reply)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1b3eb3ef-90a8-4642-b503-c22e72c457f5", + "metadata": {}, + "outputs": [], + "source": [ + "TestRunner(gpt_predictor, test, 100).run()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f7e24d6b-59a2-464a-95a9-14a9fbfadd4d", + "metadata": {}, + "outputs": [], + "source": [ + "test[0].train_prompt()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "059b6c74-917f-4cb1-b810-ce70735a57be", + "metadata": {}, + "outputs": [], + "source": [ + "train_prompts = [item.train_prompt() for item in train]\n", + "train_prices = [item.price for item in train]\n", + "test_prompts = [item.inference_prompt() for item in test]\n", + "test_prices = [item.price for item in test]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f9ee2e90-79b6-4232-b955-b1c67bc3d600", + "metadata": {}, + "outputs": [], + "source": [ + "# Create a Dataset from the lists\n", + "train_dataset = Dataset.from_dict({\"text\": train_prompts, \"price\": train_prices})\n", + "test_dataset = Dataset.from_dict({\"text\": test_prompts, \"price\": test_prices})\n", + "dataset = DatasetDict({\n", + " \"train\": train_dataset,\n", + " \"test\": test_dataset\n", + "})" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e69e26a5-4b24-4e0f-8944-731c534b285b", + "metadata": {}, + "outputs": [], + "source": [ + "DATASET_NAME = \"ed-donner/electronics\"\n", + "dataset.push_to_hub(DATASET_NAME, private=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0282b9c5-019b-4e1c-910c-3f86b46b35dd", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/week6_wip/human.csv b/week6_wip/human.csv new file mode 100644 index 0000000..3e7efb8 --- /dev/null +++ b/week6_wip/human.csv @@ -0,0 +1,200 @@ +"Amba SAFSP-33 Free Standing Plug-In Towel Warmer, Polished",Heats quickly Made of 18/8 stainless steel Built in on/off switch Ten crossbars allow optimal drying Horizontal and vertical bars are heated,100 +AnyTone AT-D878UV Plus D878UV D868UV D858 Battery Pack 7.4V 3100mAh with Belt Clip,Original AnyTone 3100mAh Li-ion Battery with Belt Clip for AnyTone AT-D878UV Plus D878UV D868UV D858 BTECH DMR-6X2 radio. Original AnyTone 3100mAh Li-ion Battery with Belt Clip for AnyTone AT-D878UV Plus D878UV D868UV D858 BTECH DMR-6X2 radio.,20 +"Whitmor, Espresso Deluxe 6 Organizer with 3 Fabric Cubes","Great for quick organization and storage, this 6 cube organizer with 3 fabric cubes is the perfect small space storage solution eatures 6 cubes with 3 additional fabric cubes for organization and display of a variety of household items Wall mount accessory included Assembled dimensions: 15 L x 32.5 W x 37 H inches Constructed of laminated particleboard for stability and durability Easy assembly, Phillip's screwdriver needed For over 70 years, Whitmor has been bringing organization home. If you have questions or problems, please contact us for immediate assistance",20 +"Lori Mitchell 33164 Little Lost Lamb Figurine 5.5""","Lori Mitchell 33164 Little Lost Lamb Figurine 5.5"" Poly Resin 5.5"" Tall",10 +"Madison Bay Co Double Clear Ribbed Inkwells with Wood and Brass Stand, Vintage R","Madison Bay Co Double Clear Ribbed Inkwells with Wood and Brass Stand, Vintage R.",30 +ClimaTek Refrigerator Door Bin Shelf for Kenmore 2187172K,"This is a Brand New Aftermarket Refrigerator Door Bin Shelf This is a Brand New Aftermarket Refrigerator Door Bin Shelf This is a top quality white replacement refrigerator door bin. It attaches to the back of the door. Approx. 16.625"" W x 7"" D x 3.875"" H",25 +SmithOutlet 25 Pack Over The Head Low Cost Headphones in Bulk,"Pack of 25 Headphones; Each Headphone Individually Packaged and Sealed Extra Soft Leatherette Ear Cushions; Ear Cushions Can Be Wiped Clean Cord Length 4.5 Feet; Single Cord for Both Ears for Tangle-Free Use Stereo 3.5 MM Plug Works with iPods, iPhones, iPads, Smartphones, Chromebooks, Tablets, Laptops, Computers, Fitness and Audio Equipment Great for Students, Schools, Hospitals, Hotels, Musuems, Gyms, Dentists, Libraries and more",40 +Kodak Ektar 100 135-36 (Pack of 3),Kodak Ektar 100 135-36 (Pack of 3) World's finest grain color negative film Extraordinary enlargement capability from a 35mm negative. Ultra-vivid color and optimized sharpness. Distinct edges and fine detail. Incorporates entertainment imaging's KODAK vision film technology. Micro-structure optimized t-grain emulsions.,30 +"Kohler Prolific Large Bamboo Cutting Board, 21 in. L x 15.875 in. W",K-23680 | Prolific Large Bamboo Cutting Board | KOHLER Fits securely on K-23650-NA (covers the entire sink) or K-23652-NA (covers half the sink). May also be used with the K-23651-NA and K-5540-NA Prolific kitchen sinks. Countertop height creates a truly comfortable work surface for easy food prepping.,60 +"KC Republic Phone Brush Cleaning Kit with Mini Soft Round Cotton and Felt Tip Brushes, Clean Phone, Water Wet Phones, Dry Phones, Tablet, Laptop, or Computer, 3 Different Size Heads, (25 pieces)","Mini Tip Brushes For Cleaning Small Hard To Reach Places and Water Out of Phones Easily Remove Dirt, Sand, Water, or Debris From Small Crevices Felt Tip Attracts Water from Wet phone and Can Be Wet To Clean Out Dirt or Debris Cotton Round Tips For Soft Clean Touch On Camera Phone, Tablet, or Laptop Lenses Note: Brushes are Disposable",15 +"Atlas Homewares 4010-BRN 2-Inch Wine Glass Knob, Brushed Nickel","From the Manufacturer Wet Bar - It is always 5pm somewhere For Other Mini-Bar Knobs in this Finish and Collection See Items 4009-BRN, 4011-BRN & 4012-BRN Width: 1.5-Inch Projection: 1.5-Inch",15 +"Precious Moments ""My Gift for Him Figurine","With a message of peace and goodwill, this little drummer boy is a perfect addition to the Precious Moments standard size nativity. Porcelain bisque figurine 4.5"" high. Ornament Drummer Boy playing his drum standard size Each Piece Is Porcelain Bisque; Hand Sculpted and Hand Painted Infused with honest emotion it shares a message that speaks straight to the heart Indoor Use Only; Should Be Dusted Occasionally Packaged in a box made from recycled materials",40 +Flora-cal Products Fake Red Wine Set Fake Drinks,"Fake Red Wine Set Fake Drinks Artificial Red wine bottle, glass and grape set. The fake liquid is solid. Artificial Red Wine Display Food Prop Decoration Bottle Size: 3"" X 12""H Wine Glass Size: 3-1/4""D x 6""H Made in America",20 +HTC Desire 610 (AT&T Go Phone) No Annual Contract,"• WARNING: This product contains a chemical known to the State of California to cause cancer, birth defects or other reproductive harm. This refurbished product is tested and certified to look and work like new. The refurbishing process includes functionality testing, basic cleaning, inspection, and repackaging. The product ships with all relevant accessories, and may arrive in a generic box",300 +GARDENGREETERS Lighthouse Guiding Light Black and White Solar LED Outdoor Lighthouse Statue f,"Made of polyresin. Approximate size: 8""Dia x 20.5""H. Good for indoor/outdoor. Light will automatically light up at dark/night. Made of resin Approximate size: 8"" Dia x 20.5""H Good for indoor/outdoor",200 +Incipio HTC Inspire 4G Feather Ultralight Hard Shell Case - 1 Pack - Case - Retail Packaging - Black,"The feather is an ultra light weight hard shell case for the HTC Incredible, made of a durable and rigid polycarbonate material. A fan favorite case, the feather is loved for its slim, sleek, and sexy look. Less than 1mm thin - Ultra light, ultra strong polymer Form-fitting case that offers low-profile protection Provides full access to all ports and buttons",25 +Dm/Tnc Tamper,Vita-Mix 000760 Tamper. This is a genuine OEM (Original Equipment Manufacturer) part. Use genuine OEM parts for safety reliability and performance,15 +Skuttle 000-0814-008 Transformer 24 VAC 10VA,"Transformer 24 VAC 10VA Country Of Origin: United States Model Number: 000-0814-008 Item Package Dimensions: 1.0"" L x 1.0"" W x 1.0"" H Item Package Weight: 1.0 lb",50 +Desiderata 24x20 Framed Art Print,Desiderata 24x20 Framed Art Print High quality framed art print Two inch wide black wood frame In stock and ready to frame and ship Custom packed for safe delivery Satisfaction Guaranteed,40 +3-Wick Candle - Peach Bellini - 14.5 oz / 411 g,Peach Bellini flavored 3-Wick Candle best for sensational aromatherapy. Aromatherapy,30 +Shakespeare 5120 8' AM/FM Stereo Antenna with 15' RG-62 cable,"Continuing the tradition, Shakespeare’s Centennial 5120 AM/FM antenna puts high-end features where high-end does the most good. When you’re far from your favorite stations, this antenna helps bring them in loud and clear, without depleting your net worth. Chrome-plated brass ferrule with standard 1in-14 thread Includes 15ft RG-62 cable and Motorola connector Suggested mount: Style 4187 or 5187 Ratchet Mount (each sold separately) Smooth, durable, high gloss finish One section",50 +"Savoy House 8-4030-2-322 Octave 2-Light Bathroom Vanity Light in a Warm Brass Finish with Clear Glass (14"" W x 9"" H)","APPLICATIONS: Perfect for use in bathrooms and over vanities. Adds charm to any interior VERSATILE: LED/CFL/Incandescent compatible, holds two 60 Watt E26 Base Bulbs (Not Included) INSTALL YOUR WAY: This versatile fixture can be installed either with bulbs pointing UP or DOWN ASSEMBLED DIMENSIONS: 9"" Height, 14"" Width Safety rating: UL, CUL and",80 +Media Center,"The Homestead Collection media center features a large concealed storage area behind two flat panel doors, a fixed 40"" x 14"" shelf and genuine lodge pole pine corner trim and door pulls. Hand crafted in Montana. Trim pieces are square sawn for a unique, timber frame/barn wood appearance. This item is professionally finished with premium grade stain and clear lacquer. Comes fully assembled. 20-Year limited manufacturer warranty. Handcrafted Made from dead-standing lodgepole pine Made in the US Heirloom Quality",120 +RoomMates RMK11979WP Blue and Navy Crackled Stria Texture Peel and Stick Wallpaper,"Add natural dimension to the walls of any room in your home with our Crackled Stria Texture peel and stick wallpaper. Offered in beautiful tones of blue, this wallpaper will match many different decor styles. To apply, simply remove backing, smooth onto clean and flat walls and cut to fit! 1 roll - 20.5 inches wide X 16.5 feet Peel and stick to apply – no water, no paste, no mess 100% removable peel and stick wallpaper No sticky residue left behind upon removal Perfect for renters and homeowners",80 +"Pack of 2 ICY Crystal Decorative Christmas Standing Deer Figures 18""","From the Icy Crystal Animal Kingdom Collection Features a long and tall standing deer with the elegance of ice sculptures Dimensions: 18""H. Material(s): acrylic Pack includes 2 of the item shown Lodge-Style Modern-Design-Style Decorative",60 +Lord of the Rings Return of the King Glass Goblets Arwen the Elf,"LORD OF THE RINGS, GLASS GOBLETS COLLECTION. ""ARWEN THE ELF"" GOBLET GLASS. IT IS 6 1/2"" TALL, BY 2 3/4"" AT THE BASE. THE LID TAKES 2 AG13 (1.5V) BATTERIES. THEY ARE INCLUDED. THE LIGHT HAS A ON/OFF SWITCH, IT LIGHTS RED. IT HAS NEVER BEEN USED.COPYRIGHT 2001",80 +"Basicwise 9 Cube Wooden Organizer with 5 Enclosed Doors and 4 Shelves, White","Size: 35"" W x 11. 5"" D x 36"" L 9 cube shelves provides ample storage space Magnetic closure keeps door securely shut Durable wood composition for continual use Basic design fits into any style room decor",60 +Werner 300 LB Fiberglass Extension Ladder Label Kits (Pack of 6),Step ladder caution warning labels and correct ladder procedure with weight limit. Werner Ladder Safety Labels for all Type 1A 300 load capacity Extension Ladders. Contains all labels that come on a new ladder. Labels in both English and Spanish. (Pack of 6) Any size Werner 300 load capacity Fiberglass Extension Ladders.,120 +Westcott Scrim Jim Cine Kit (8' x 8') Heavy Duty Frame with 3/4 Stop Diffusion and Silver/White Bounce Reflector - Includes Carry Case,Comprehensive 8'x8' Scrim Jim Cine light control kit for Filmmakers and Video Production Portable modular framework allows quick build and breakdown times. Less hassle than other Scrim systems Soften or Bounce Options provide versatility within a single kit. Can be used with both natural and artificial lighting scenarios Ideal for the Traveling Filmmaker Includes USA Backed Warranty and Lifetime Customer Support,120 +Sony VHS T-120VL/WA Standard Grade VHS Tape - 5 pack,SONY T-120 5 PACK SONY T-120 6 Hours Standard Grade 5 PACK New,80 +"Acme Furniture Noralie Coffee Table, Mirrored & Faux Diamonds","Want to make a bold statement, then these Noralie Coffee table is the perfect solution. With a one of a kind cross base and dazzling diamond borders, this piece is sure to stand out. Featuring a sturdy 4mm table top that can be used for display or function. The gleaming complement will reflect the perfect amount of light into any dark space. Let this innovative furniture add new style to your home. Square Table Top Mirrored Top Faux Diamonds Inlay Cross Mirrored Base",160 +"Emachines E443-BZ602 Laptop LCD Screen Replacement 15.6"" WXGA HD LED",This is a compatible replacement screen for the model listed in the title.,80 +Warm White Cluster 768 Strand Sting Lights,LED Twinkle Cluster 8 Function Memory Controller - Black Cable IP44 Rated 13.2' Lead 33' Total Length Non-Replaceable Bulbs UL Approved LED Twinkle Cluster 8 Function Memory Controller 33' Total Length,220 +"1250mAh Battery for Barnes & Noble 005, Nook, BNRZ100, BNRV100, Nook Classic","Compatible: 4894128036135,BNRB1530, BNRZ1000, 9BS11GTFF10B3, 9875521, BNRB454261 Devices: Barnes & Noble 005, NOOK, BNRZ100, BNRV100, NOOK Classic- Certification: CE, FCC, RoHS",80 +Pac Intelligent 4 CAM SWTCHR,The VS41 Intelligent 4-Camera Switcher from PAC Audio features 4 camera inputs and 1 video output for connecting to a factory or aftermarket radio with a video display. The inputs are triggered by driver behavior. The rear backup inputs are automatically activatedwhen the vehicle is shifted into reverse while side inputs are activated by prompted by the turn signals. PAC VS41 Intelligent 4-Camera Switcher,60 +"Major-Q 6288t 28"" H Brushed Steel Base Crystal Ball Table Lamp with LED Light Bulb","Featuring a round chrome base with a brushed nickel finish, beautiful bubble-like crystal accents work their way up while decreasing in size until they reach the gorgeous drum-shaped linen shade. Make this table lamp the next lighting addition for your home.",90 +"3dRose I Can Help You Find Your Marbles Travel Mug, 14 oz, White","14oz capacity Made of stainless steel Easy-grip handle with thumb rest Slide opening lid with slanted drinking surface Not microwave safe, hand washing is recommended",20 +TEMCo Lug Crimper Tool TH0012-8 AWG - 0000 AWG(4/0) DIELESS Indent Electrical Battery Terminal Cable Wire 5 YEAR WARRANTY,"Black oxide crimp ram won't chip or flake. Dieless design adjusts quickly to the full range of terminal sizes 8 gauge though 0000 gauge (4/0). Perfect for Battery & Welder cables, Building Wiring, and more. Use with all crimp terminal lugs, including heavy cast lugs. 5 Year Warranty from an American name. NON-GENERIC",50 +"Caroline's Treasures Cheetahs by Daphne Baxter Leash or Key Holder BDBA0113TH68, Triple",The tile is Made from a hardboard and is mounted to a metal rectangle The hooks hang down from the metal plate in the back and is about 2.5 in. From the base Made in the USA A hanger is attached to the metal plate and is about 1.5 in. Long Lots of room to hang up using a Screw or paneling nail,50 +Metallurgica Motta Barista Kit,"Every thing you need to make perfect morning coffee drinks at home. Kit includes: (01) Motta Europa Milk Pitcher, 25.3-floz, (01) Motta Thermometer, (01) Motta Cocoa Duster, (01) 58mm Motta Aluminum Coffee Tamper Tried and backed up by the Barista Association of Italy Kit comes on a beautiful gift box Made in Italy",350 +"Samsung SM-G930UZDAXAA S7 Gold Galaxy Smartphone Unlocked-32Gb, Water-resistant up to 5 Feet, US Warranty",nicks and scratches from daily use will ship it right away with tracking number.,120 +HoneyWell 1 Heat Electric Thermostat 40 to 80 deg F 120/208/240/277 Volt AC,Discount price available now so order the Honeywell T410B1004 Electric Heat Thermostat via our online store affordable Honeywell products.. Economical. Replace virtually any twowire T410A or fourwire T410B line voltage wallmounted electric heating thermostat. Easy to install; 6 in. 150 mm colorcoded leads. Include longlasting Micro Switch mechanism. Rugged plastic mounting base and onepiece cover with vents.,120 +White Rodgers Upgraded Furnace Control Circuit Board Replaces Trane D341396P03,This is a Brand New White Rodgers Furnace Control Board This is a Brand New White Rodgers Furnace Control Board Top Quality Replacement Board Designed to Fit Trane and American Standard Furnaces,50 +"KOECKRITZ 6'x30' Black - Economy Turf/Artificial Grass Runners | 2', 3', 4' & 6' Widths x Lengths up to 100' |Light Weight Outdoor - Easy Maintenance - Just Hose Off & Dry! - 8 Colors to Choose from",,40 +Disco Queens the 70s,"Thibul Nettle aka Stinga T and Michael Collard aka Big Sexy are an Adelaide/Perth based rap duo called TDB (Tha Deadly Boyz). The boys are cousins and have been performing together since 1999 beginning the duo while still in high school. Performing together for over 8 years now, TBD have massively increased their profile via notable performances along with securing airplay across the country while their videos have featured on Channel V. 110-volts, 12-amps, 1300-watts Indicator Light Adjustable Thermostat Stainless Steel Frame Non-stick Surface",60 +"American Standard 0263.112.020 New Solar Soaking Bathtub with Right Hand Outlet, White, 5-Feet - 0263112.020","For those enamored with the look of enamel. The new solar bathtub is made from heavy gauge, enameled steel for attractiveness and durability. Features include a slip-resistant surface and an integral apron for a cleaner look. Above-floor rough alcove installation. Acid resisting, enameled steel construction One-piece bath End drain outlet Full slip-resistant pattern Fully-bonded support pad",300 +"HVAC Motor, 1/40-1/50-1/80 HP, 115V, CCW/LE","The Fasco D128 is a 3.3"" diameter fan and blower motor rated for 1/40-1/50-1/80 HP and 1500 RPM at 115 Volts General Purpose Fan Motors HP: 1/40 RPM: 1500 Volts: 115",200 +JBL Basspro SL2 - Powered under seat subwoofer system (Renewed),"125W RMS compact powered subwoofer system with Bass Boost of 0dB to +9dB @ 70Hz Dimensions (L x W x H): 13-9/16"" x 9-7/8"" x 2-13/16"" (344mm x 250mm x 71mm) Frequency Response 35Hz – 120Hz 8"" Powered Subwoofer Car audio Subwoofer",160 +"Iron Valley - 1-1/8"" Dome Cabinet Knob - Pack of (10) - Solid Cast Iron","Metal & Style: Traditional & Rustic Solid Cast Iron Finish: Rust Resistant Rich Black Powder Coat Dimensions: 7/8"" Projection - 1-1/8"" Wide Mounting Hardware: Includes 1"" Mounting Screws - 8/32"" Threading Package of (10) Knobs",80 +Stray Kids - Clé 1 : MIROH [Standard-Clé 1 ver.] 1CD+Photobook+3QR Photocard+Pre-Order Benefit+Folded Poster+Double Side Extra Photocards Set,,20 +KitchenAid Replacement Refrigerator / Freezer Ice Maker 4317943,This is a Brand New Replacement Refrigerator Ice Maker This is a Brand New Replacement Refrigerator Ice Maker Univeral Design and Easy Installation Make this a Top Qualty Replacement Part!,60 +"Steelex M1061 4 Jaw Chuck, 6-Inch",From the Manufacturer Each jaw moves independently. Such 4-Jaw Chucks are used for holding odd shaped pieces or where zero tolerance is required. This 6-Inch 4-jaw chuck with a 1-1/2-Inch bore has semi-steel bodies and hardened reversible jaws. 6-Inch 4-Jaw Independent 1-1/2-Inch Bore Plain back Reversible jaws,120 +Disney Peter Pan and Tinker Bell Legacy Sketchbook Ornament - Limited Release,"Genuine, Original, Authentic Disney Store Limited Release Sculptured scenic ornament Includes Peter Pan and Tinker Bell Windowsill frames translucent London background scene",40 +"C9 Led Multicolor Christmas Lights Outdoor String 66Ft 100 LED with Quick Clips Waterproof Strawberry Roof Lights, Commercial Grade Extendable for Indoor Outside Roofline Patio Home Xmas Decoration",,30 +Houston International 6515 S/2 2-Piece Galvanized Container Set,"2-Piece Galvanized Container SetSize 1: 8"" D x 9.5"" HSize 2:9.25"" D x 9.510.25 Laundry container storage container Compost container",30 +Department 56 Village Snow Laden Sisals (Set of 3),"On holidays, special days, or every day, collectors enjoy decorating with pieces from Department 56 mini villages. Fits well in any mini village display. Sisal collectible On holidays, special days, or every day, collectors enjoy decorating with pieces from Department 56 mini villages Fits well in any mini village display Made of sisal",40 +"Dekoni Audio Ear Pads Compatible with Sony WH-1000Xm3 Noise Cancelling Headphones, Black (Choice Suede)","Compatible with the Sony WH1000Xm3 noise cancelling headphones Dekoni Choice Suede is a synthetic soft and supple for a sheen look and gentle feeling on the ears Plastic mounting ring built in for easy installation Outer ring: 101mm high, 71mm wide, 20mm deep Inner ring: 68mm high, 36mm wide",30 +"XSPC TX480 Ultra Thin Radiator, 120mm x 4, Quad Fan, Black",High quality material made by XSPC The product will meet the expectations of gamers and also of computer enthusiasts who are looking for a quality product with the XSPC TX480 Ultrathin Radiator 480 mm Black Ultra Thin PC Radiator at just 20.5mm thickness 16mm Copper and Brass Core with Matte Black Paint Finish 22 FPI (fins per inch) Weight: ~792g Dimensions: 125 x 20.5 x 518mm (WxDxH) +-0.5mm,50 +"SCREENARAMA New Screen Replacement for ASUS Vivobook X420U, FHD 1920x1080, IPS, Matte, LCD LED Display with Tools","MUST match resolution and connector: FHD 1920x1080 30pins Non-touch (will not work if different resolution and type) Screen size: 14.0"", Matte, IPS (Wide View), Narrow bezel Tested screen, Guaranteed compatibility Warranty: 2 years Comes with complimentary set of tools and adhesive tape for installation",50 +Shaka Intekanational LLC / DLI Flush Mount Baby Breakout Board for Atomic Pi - 2.5mm Barrel Jack 5V Input,This board snaps in to the bottom of the Atomic Pi so you can use a 2.5mm barrel connector to power the Atomic Pi. A power supply capable of 5V 4A is recommended. Power supplies and the Atomic Pi itself are sold separately.,40 +"Samuel""Sam"" Adams Boston Lager Sensory Pint Beer Glass 22oz Set of 4","Set of 4 XL 22 Ounce Samuel Adams Sensory Glasses. Laser etched nucleation in base, looks like a hatch mark ring and aids in propagation of beer bubbles or head. Pub Edition, White Shield logo. May have imperfections from Factory, as these are licensed for Pub/Restuarant/Bar Use.",30 +Monoprice Essential Triple Monitor Articulating Arm Desk Mount (116247),"ESSENTIAL TRIPLE MONITOR ARTICULATING ARM DESK MOUNT VESA compatible: 75 x 75 to 100 x 100 Mount a three 10"" 30"" displays 22lbs max weight Mount can be swiveled 180 degrees, tilted 90 degree upward or downward, and rotated 360 degrees Quick release Lever on the back of the mount allows you to raise or lower the display at will",80 +"Acmee Non-Blinking LED Balloon Light, LED Party Lights,LED Paper Lantern Light, LED Mini Light for Party or Wedding Decoration (Green, Pack of 12)","Suitable for paper lanterns, florals,balloons, water proof Turn LED on and off by twisting the base With a hook a bottom, you can thread and hang them easily Batteries: 3 x 1.5V LR41 in each led, 8 hours+ (yes, batteries are included) Waterproof, bright lights",35 +Franklin Electric FPS 1/2 hp 20 gpm Effluent Septic Pump,"Stainless steel or thermoplastic discharge and motor bracket are tough and non-corrosive. Both materials are highly resistant to damage by minerals, metals, and other substances typically found in water 1/2 hp 20 gpm Effluent Septic Pump",310 +dreamGEAR Wired Headset for Xbox 360 (Ghost Camo),"Enhance your gaming experience with the Dream GEAR wired headset for Xbox 360. The wired headset is the perfect way to play your favorite Xbox 360 games. Get immersed in the game with crisp and clear audio. Microphone with boom delivers great communication. The wired headset has built in volume/mute controls. Wired headset for Xbox 360 plugs directly into your controller Works on left or right ear Volume/Mute controls Microphone with flexible boom Lightweight for the ""barely there"" feel",90 +Bose Wave AM/FM Clock Radio - Model AWR1G1 - Graphite,"Color:Graphite Gray | Style:Wave Music System Great AM/FM reception no questions asked returns AUX input and output connectors Great sound , Deep Bass and Clear highs",100 +Personalized Fathers Day Mug Dad of 4 Add Children's Names Custom Mug 11oz Ceramic Coffee Mug Blue,"Let your dad know how much you appreciate him with a sentimental ceramic coffee mug that make excellent dad gifts from daughter, Father's Day gifts for dad, a dad birthday gift, and much more. Size: This 11 ounce white ceramic coffee mug also makes a great tea cup with its large, easy to grip C-handle This custom gift is made to your exact specifications. Design: The premium full color sublimation imprint creates a vibrant, long lasting, and lead-free design Care: Microwave and dishwasher safe for your convenience",12 +"SCREENARAMA New Screen Replacement for NV140FHM-N41 V8.0, FHD 1920x1080, IPS, Matte, LCD LED Display with Tools","Tested screen, Guaranteed compatibility Warranty: 2 years Resolution: FHD 1920x1080 (Must be the same as your screen) Connector: 30 pin (Must be the same as your screen) Screen size: 14.0"", Matte, IPS (Wide View)",60 +"GEARWRENCH 10 Pc. 3/8"" & 1/2"" Drive Hex Bit Socket Set, SAE - 80579","Product Description 10PC 3/8""& 1/2""DR SAE HEX BIT, Made in: Taiwan, Dimensions: 1 X 4.3 X 12.2. Weight: 1.805 From the Manufacturer GearWrench Bit Sockets. Patented bit holding principle: Internal dimple feature, forces bit surface to the opposite side for maximum retention Heat treated socket bases for durability and serviceability Chrome Sockets Large hard stamped identifications Slide socket rail",40 +"Whirlpool 2186443 Filter Housing for Refrigerator, 1 Count (Pack of 1)","Works with the following models: Whirlpool 3KES0FHGNS00, Whirlpool 3XART745GW00 Whirlpool 3XART745GW01, Whirlpool 3XART745GW02 Whirlpool 3XED5SHGKS00 Whirlpool 3XED5SHGKS01 Genuine Whirlpool Replacement Part",80 +"Cute Seat Cushion, Cat Paw Shape Lazy Sofa Office Seat Cushion, Bear's Paw Office Chair Cushion, Plush Sofa Cushion Soft and Comfortable Cushion Home Bedroom Shop Restaurant Decoration",,30 +Danson Pelpro 2RPM Synchronous Auger Feed Motor SRV7000-670 OEM,"Fits Models: ~ PHC90 Cast ~ PP60 ~ PP60-RF ~ PP70 ~ PP130 ~ PP130-B ~ PP130-RF ~ PPC90 ~ TSC90 Fits Models: ~ PHC90 Cast ~ PP60 ~ PP60-RF ~ PP70 ~ PP130 ~ PP130-B ~ PP130-RF ~ PPC90 ~ TSC90 120v AC, 60hz, Class B 64TYZ Synchronous Motor Hole in Shaft to Spec Specialty Wire Connection Configuration",200 +"The Great American Hanger Company Wood Top Hanger, Box of 100 Space Saving 17 Inch Flat Wooden Hangers w/Espresso Finish & Brushed Chrome Swivel Hook & Notches for Shirt Jacket or Dress",Streamlined Flat Design Saves Space and Keeps Your Closet Organized 360 Degree Swivel Hook Makes Hanging Your Clothes Easy On Any Bar Made from Strong and Sturdy Hardwood Heavy duty brushed chrome hardware Precision Routed Notches to Hold Your Garments with Straps,50 +"Rae Dunn SALT & PEPPER Cellar Set - 3.5"" tall - 2.5"" - ceramic - very rare!","Rae’s inspiration comes from the earth, and she finds beauty in simple shapes, natural forms and found objects. Her utilitarian approach to designing ceramics is strongly based on the Japanese aesthetic of wabi sabi; the beauty of things imperfect, impermanent, and incomplete.",60 +Miller Honeywell Safety Products by 8928-Z7/18INBK Ansi Z7 D-Ring Extension with Snap,Made in Mexico Package height :4.826 cm Package length :8.128 cm Package width :20.828 cm,20 +"Floating TV Stand for TVs Up to 85 inch, 70 inch Wall Mounted Haning TV Stand with LED Lights, High Glossy Floating Entertainment Centre Hanging Media Console Shelf, Modern Under TV Floating TV Shelf",,50 +Extra Heavy Duty Swiss Army Military Wool Blanket Cover,"Hand Sewn White Crosses on each end 60"" x 84"" Extra Heavy Weight - Almost 6 lbs!!! Chestnut Brown - Shades of Brown my vary slightly 70% Wool Blend - Dry Clean Only",30 +Supermicro AOC-LPZCR2 All In One Zero Channel Raid Card 600MHZ,"Processor: Intel 80321 600MHz I/O Processor RAID Levels: 0, 1, 5, 10 and JBOD; 50 (SAS and SATA modes) Cache Memory: 256MB onboard ECC DDR Memory Bus Type: 64-bit/100MHz PCI-X Adaptec SAS Host Controller (AIC-9410)",220 +Westinghouse 1B1K2684 Main Board for VR-4090 Version 2,1B1K2684 Westinghouse Main Board For Westinghouse VR-4090 Version 2. This item is refurbished and guaranteed working. Item is offered with a NON DOA WARRANTY. For Westinghouse VR-4090 Version 2 P/N: 1B1K2684 TV Part (T.RSC8.10A 11153),110 +"Swiss Madison SM-SB510E Voltaire Shower Base, 48"" x 36"", Grey",Low single threshold for easy access Acrylic and fiberglass technology reinforcement Slip-resistant surface Integral 3-sided flange helps prevent water leakage Center-Hand Drain,80 +HID ThinLine II 5395CK100 Low Profile Prox Card Reader,THINLINEII BLK RDR WIEG OUT Prox Card Reader Wiegand (500 ft cable) interface Dimensions: 4.70 x 3.00 x 0.68 Inch Lifetime warranty,100 +TurboTorch 0386-0575 STK-31 Torch Swirl,"A longtime industry benchmark, the Turbo Torch line of STK torches and tips now features the new Extreme Swirl technology. This torch kit has 360 degree swivel tips and easy to clean orifice screws. The torch is safe to use with air, MAPP and propane processes. It is safe to use through high capacity applications and HVAC. STK-R Pressure Regulator w/CGA-600 Connection ST-3 Extreme Tip ST-1 Tip Size Processes: Air/MAPP and Propane Industrial Applications: High Capacity applications and HVAC",90 +Posh Pollen Silver Anna End & Side Table,"Base is constructed with metal, completed with a rhombus design Frame material is made of mango wood Detailed with antiqued silver foil Package Weight: 20.9 pounds",60 +"Depnee Small 130ml Cool Mist Humidifier, USB Mini Ultrasonic Aroma Diffuser with Waterless Auto Shut-Off, 7 Color LED Lights for Home Office Car Travel (White Wood Grain)",,100 +BRTTX3551 - Brother TX Tape Cartridge for PT-8000,"Ideal for high-production label making, with fewer re-supply situations. Perfect for indoor and outdoor use on smooth, flat surfaces. Sold as 1 Each. Ideal for high-production label making, with fewer re-supply situations. Perfect for indoor and outdoor use on smooth, flat surfaces. Tape measurements are approximate. Brother label machine tape for P-Touch PC and PT-8000 models.",30 +Whirlpool WP2156022 Trivet RC Shelf Large,"This is a genuine replacement part. The model number and name for the following item is: Whirlpool 2156022 Trivet RC Shelf, Large This is an O.E.M authorized part Fits various whirlpool models O.E.M part number 2156022 This is a Whirlpool replacement part Part Number 2156022",80 +"AKRacing Footstool with PU Leather, Height Adjustable with Wheels, Ottoman Foot Rest for Office and Gaming Chairs - PC; Mac; Linux, Black, (AK-Stool-BK)",Do you want to lay back and Just relax in your chair from time to time? Then the footstool from AKRacing is just the product you need. Durable PU leather upholstery and high-density cold-curved foam padding for maximum comfort Sleek design is compatible with all Office and Gaming chairs Adjustable height so you can get it just the way you want 360 Degree swivel Lockable wheels so the footstool stays in place,50 +Mr. Beer Premium Edition Beer Kit,"The best starting point for a beginning brewer, this Brew Kit comes with everything needed to brew and bottle your first batch of top-quality beer. Reuse this kit again and again with Refill Brew Packs so you're sure to find the right brew for you. 1 fermenter with lid & tap assembly 1 Standard BoosterTM Refill 8 Reusable Plastic 1-Liter Bottles w/ Caps 8 Labels with MR.BEER Logo 1 Brewing with MR.BEER -- Brewer's Guide(dvd)",200 +"Craig Frames Sonora, Aged Copper and Black Picture Frame, 10 by 11-Inch","Contemporary style; distressed copper and black with smooth wrap finish Frame includes: glass, rigid black backing and pre-attached stamped hanging hardware Frame holds a 10 inch by 11 inch photo/print/poster (viewable area reduced by .25"" on each side, due to frame lip) Frame moulding is 3.015 inches wide; MDF wood composite ; wrap finish Frame is designed for WALL HANGING only (hanging hardware allows for portrait or landscape orientation)",20 +"Jackpot Candles Caramel Coffee Latte Candle with Ring Inside (Surprise Jewelry Valued at $15 to $5,000) Ring Size 9","100 percent premium natural soy candle with organic cotton double wicks Made in the USA 15 ounce jar; 12 ounce candle with double wick for a cleaner burn Jewelry item hidden in each candle valued between 15 and 5,000 dollars",30 +"SODIKA Kitchen Mats Set Anti Fatigue Cushioned Kitchen Rugs and Mats Non Slip Comfort Standing Kitchen Floor Runner Rug Beautiful Beach Seascape Starfish and Conch (18""x30""+18""x59"")",,20 +"HolySpring Ice Maker Machine Countertop, Portable Ice Makers with Ice Bags and Standing Ice Scoop Basket, Countertop Ice Maker 2.1L w/Self Cleaning, 9 Bullet Cubes Ready in 5-7Mins, 26.5lbs in 24 hrs",,110 +"Creative Co-Op Decorative Bamboo Blanket Ladder, 60.25"", Natural","Add this functional yet decorative ladder to any living space for a rustic feel. The 60 inch tall white wood ladder is great for hanging blankets and throws or simply display by itself for a decorative touch. Place in a bedroom or living room for a statement piece. In the bathroom, this ladder can be used as a unique towel rack. Bamboo Hang blankets for a decorative touch In the bathroom, hang towels on this bamboo ladder Place against any wall for added dimension to the room décor 16""L x 1. 25""W x 60. 25""H",60 +Hypertherm 420144 HyAccess Cutting Nozzle,"Access extended Cutting Nozzle for Powermax30, Powermax30 XP and Powermax45 plasma systems. ""Cut with Confidence."". Unique patented design for cutting in hard to reach or confined places Access provides improved visibility and accessibility for challenging cutting applications Operates at 15 - 45 A",80 +Liberty Tabletop Celtic 65pc Flatware Set Service for 12 Silverware Made in USA,Finest Quality 18/10 Stainless Steel 100% Made in USA Forged Knife with Serrated Blade 25 Year Manufacturers Warranty Stunning Mirror Finish,55 +GM Genuine Parts 96673600 Rear Side Door Lower Radio Speaker,"Restore the sound quality of your audio system GM-recommended replacement part for your GM vehicle’s original factory speaker Offering the quality, reliability, and durability of GM OE Manufactured to GM OE specification for fit, form, and function",40 +CS OSBORNE 773-HRP HOG RING PLIER,Hardened and tempered. Forged steel. Vinyl handles. Works with our new 773-K millimeter hog rings. Ideal for closing around a smaller area. Can be used on bungee cord. CS OSBORNE 773-HRP HOG RING PLIER,50 +"Mundial Y5627-10E 10-Inch Slicing Serrated Edge Utility Knife, Yellow","Mundial 5600 series slicing knife, 10 in. High carbon stainless steel serrated blade, used for slicing meats. The yellow polypropylene handle is ergonomically designed to provide a secure non-slip grip. Lifetime limited warranty.",40 +"Star Projector, Galaxy Projector, Night Light Projector with Bluetooth Music Speaker & Remote Control, Ocean Wave Star Light Projector for Baby Bedroom, Home Theatre, Party, Birthday Gifts",,45 +"24x36 Black & White Double Picture Mats with White Core, for 20x30 Pictures","These are high quality 4 ply picture mats cut for the picture size referenced in the title. All openings are reduced by 1/2"" to overlap the picture. All of our matting is bevel cut and has a white core. All openings are reduced by 1/2"" to overlap the picture size referenced in the listing. All of our matting is bevel cut and has a white core. This listing is for picture matting only Made from 4 ply high quality matboard",30 +Forest Hill Scraper King Flooring Scraper witn Hardened and Tempered Spring Steel 5 x 7-inch Blade and Lightweight Long Firerglass Handle,"Long Lightweight Fiberglass Handle with a smooth veil finish, overall length is 58-inches. Blade size: 5-inch High x 7-inches Wide, Weight 3 pounds. Hardened and Tempered Spring Steel Scraper with the unique Forest Hill Rib design for rigidity. Extra Hard & Springy material for a superior scraping job. Multi-purpose use from floor debris and laminate to Ice and Snow. Heavy-duty Commercial Grade Construction, Made in the USA",40 +Armytek Wizard C2 Pro Max XHP70.2 Warm Light LED Headlamp 3720 Lumens,"✅ BRIGHTNESS New generation electronics provides impressive light output of 3720 lumens ✅ WIDE FLOOD LIGHT of the flashlight is optimal both for operating at a close distance and for highlighting large spaces. ✅ WIDE BEAM 110°:150° flood light is convenient for service and industrial works, as well as for active leisure and day-to-day tasks. ✅ FAST MAGNETIC USB CHARGER Charges the flashlight in just 5 hours 20 minutes.",120 +"The Endless Summer 15x18 Framed Art Print by Van Hamersveld, John","The Endless Summer 15x18 Framed Art Print by Van Hamersveld, John High quality framed art print Two inch wide black wood frame In stock and ready to frame and ship Custom packed for safe delivery Satisfaction Guaranteed",10 +760G/SB710 AM3 MAX-8GB DDR2 Uatx PCIE16 Pcie 2PCI Gbe,Motherboard - M4A78L-M - Vivid Onboard DX10 Graphics and Real-time Overclocking Performance Item Package Dimension: 10.899999988882L x 10.399999989392W x 2.099999997858H inches Item Package Weight - 2.3 Pounds Item Package Quantity - 1 Product Type - MOTHERBOARD,120 +"HP Laptop 14 inch HD Screen, Intel Celeron N4020 Processor, 4GB DDR4 Memory, 64GB eMMC, Webcam Bluetooth,1-Year Microsoft 365, Online Class/Online Meeting, Windows 10 Home S, iMei 64GB Micro SD Card","Experience the most secure Windows ever built with fast boot times, increased responsiveness, and added protection against phishing and malware. Intel Celeron N4020 1.1GHz 4GB 64GB SSD Intel UHD Graphics 600 1366 x 768 (HD) HP True Vision HD Camera Dual array microphones",400 +"BIA CORDON BLUE Bottle Vinegar White, 1 EA",Grace your kitchen with the simple elegance of this Vinegar Bottle. Dimensions: Measures 2.25' wide by 2.25' long by 11' tall/deep Material: 100% Porcelain Additional Features: Microwave-Safe Made of durable porcelain with a chip-resistant glaze for years of service Features leak-proof stopper and spout caps to keep vinegar fresh,30 +"Fotodiox Chromakey Green and Blue Jacket Cover, fits 40x60 5-in-1 Oval Reflector Pro Collapsible Disc Kit Collapsible","This cover can be used with 40x60"" 5-in-1 collapsible reflector, to provide additional application as chromakey backgrounds. Provides additional application as chromakey backgrounds. Good for studio use Bright",40 +Picard Hammer - Blacksmiths' Hammer (0000811-1500),"Crafted with the user in mind using high quality materials and world class craftsmanship, quality assured and made to withstand even the toughest jobs. Designed with the user in mind and fit to match the needs in the shop, at home or in the field - Proven and Tested for durabilty and function in real world conditions. Hardened face and cross peen Hickory handle Item Package Dimension: 8.0"" L x 8.0"" W x 20.0"" H Item Package Weight: 26.0 lb Made In Germany",40 +"NATIONAL MFG/SPECTRUM BRANDS HHI N351-015 Spring Hinge, 4-Inch, Oil Bronze","V522, 4"", oil rubbed bronze e spring adjustable door hinge, manufactured with cold rolled steel, closing speed is adjustable, fits standard hinge cutout, tension is adjustable, 5/8 "" radius round corners, hinge is UL approved for fire doors, visual pac. The product is 4 inch Oil Bronze spring hinge Closing speed is adjustable The product is manufactured in china Model number: N351-015",20 +"Fully Adjustable - TV Wall Mount Bracket for Panasonic TC-L37X1 37"" Inch LCD HDTV Television","High quality Adjustable Tilt & Swivel Tv Wall Mount Bracket. Sturdy steel, dual arm for LCD LED and Plasma TV's Full Motion TV Wall Mount Bracket Compatible with Panasonic TC-L37X1 LED / LCD / PLASMA TV Brand new in box Installation hardware included in box",45 +"M&G DuraVent 7"" DuraBlack Damper Section - 7DBK-DS","Install at, or close to, the stove outlet in-line. 5"" pipe section with the damper pre-installed. This product is manufactured by M&G DuraVent. This product is manufactured in United States. 7"" Size Highly Efficient Easy in-and-out fit Country of origin: United States",60 +Intel AFBR-703SDZ-IN2 INTEL SFP SR SFP,INTEL SFP+ SR SFP DISC PROD RPLCMNT PRT SEE NOTES AFBR-703SDZ-IN2 INTEL,60 +Sky High Car Audio 1/0 Cable Cutter,Make every install easier with the 1/0 Cable Cutters/Strippers from Sky High Car Audio Cuts any wire 1/0 and under OFC or CCA Strips down to 16 Gauge wire A handy tool to have laying around!,10 +"Chi Mei N140bge-l43 Rev.c1 Replacement Laptop LCD Screen 14.0"" WXGA HD LED DIODE (Substitute Only. Not a)",,70 +"Braun KF420-BLK Aromaster 10-Cup Coffeemaker, Black","Water-dispersal system provides fast, uniform saturation of coffee, full flavor Plastic carafe's lid seals to minimize evaporation Pour a cup midbrew with convenient brew-pause feature Swing-out filter basket; flip-top water-tank lid Measures 12 by 6 by 11 inches",100 +Noritake Rochelle Gold 5-Piece Place Setting,"Since 1904, Noritake has been bringing beauty and quality to dinner tables around the world. Superior artistry and craftsmanship, attention to detail and uncompromising commitment to quality have made Noritake an international trademark during this past century. Noritake Dinnerware will set your table with the standard of perfection. Noritake Rochelle Gold 5-Piece Place Setting Bone China World Famous Noritake Quality, Value and Design. Elegant Dining Dishwasher Safe",80 +NASSAU ELECTRICAL SUPPLY 50' Nassau 1/0-1/0-1/0-2 SER Aluminum Service Entrance Cable 600V,Wire Size : 1/0-1/0-1/0 AWG Bare Conductor Size AWG: 2 Conductor Material : Aluminum Cable Type : Service Entrance Cable Voltage : 600V,80 +iPhone 12/12 Pro Southwestern Aztec Design Case,"Unique Aztec Southwestern Design. Another Original Design by TheGraphicRabbit that is Distressed with a Vintage Style, this Popular item makes a Perfect Gift for a Birthday or Just for something Unique! Awesome Design with Southwest Flair. South Western Art Lovers. Another Original Design by TheGraphicRabbit that is Distressed with a Vintage Style, this Popular item makes a Perfect Gift for a Birthday or Just for something Unique! Two-part protective case made from a premium scratch-resistant polycarbonate shell and shock absorbent TPU liner protects against drops Printed in the USA Easy installation",20 +Plush Big Backrest Reading Rest Pillow Bed Adult Backrest Lounge Cushion Back Support for Sitting Up in Bed (Blue),"Special Feature Durable,Premium Fill Material Cotton Shape L-shape Plush",20 +Intel Core 2 Duo Mobile Processor T9400 Frequency 2.53ghz 1066mhz Cache 6MB CPU Micro-FCPGA,Core 2 Duo Mobile Processor T9400 Frequency 2.53ghz 1066mhz Cache 6MB CPU Micro-FCPGA ASIN: B005MFI6S6,180 +Blomus Magazine Collector,"The blomus chrome plated magazine collector provides organization for magazine storage. Keeps magazines orderly for reference or recycling. holds any magazine Material: steel chromed H 31 cm, W 34 cm, D 27 cm Easy to clean",20 +Frigidaire 316465800 Range/Stove/Oven Griddle Unit,"This is a genuine replacement Part, The model number and name for the following item: Frigidaire (FRIGB) 316465800 range/stove/oven - literature. Frigidaire (FRIGB) This is a genuine replacement part Cooktop-Accessories General Specs: Item Package Quantity: 1|Shipping Weight (lbs): 12.12|Collection: Frigidaire",40 +XL5100 Sony Projection TV Lamp Replacement. Lamp Assembly with Genuine Original Philips UHP Bulb Inside.,XL5100 Sony Projection TV Lamp Replacement lamp assembly with high quality original Philips UHP lamp inside.,40 +"Polylok 24"" x 6"" Septic Tank Riser","This model has been replaced with part number: 3008-NG as of 2021 Accepts Polylok 24"" Riser Safety Screens Made of high density polyethylene which won’t shatter Structural ribs inside prevent frost from adhering to the riser in frost prone areas Made in the USA",80 +"Meridian Furniture Isabelle Collection Modern | Contemporary Channel Tufted, Velvet Upholstered Chair with Custom Chrome Legs, Burgundy, 38.5"" W x 35.5"" D x 31"" H","Burgundy plush velvet Chrome legs Channel Tufted Modern | contemporary design Pillows included Overall dimensions: 38. 5"" W x 35. 5"" D x 31"" H",60 +GIA Cute Upholstered Light Pink Armless Plush Faux Fur Fuzzy Desk Chairs No Wheels - Removable Makeup Room Vanity Chair Slipcovers - Mid Century Shaggy Dog Accent Chairs - 1Pack,"Ergonomically designed to provide support for your back while functional and comfortable for you and your guests The contemporary look adds a designer touch to any living or working space Hassle free assembly in minutes with instructions and hardware kit Chairs are 32 inches high, 18 inches deep and 18 inches wide.",80 +Ridgid AC840085 (2 Pack) 18V 1.5AH Hyper Lithium-Ion Compact Battery # 130183010-2pk,Sold on Amazon,90 +ZyXEL C1100Z 802.11n VDSL2 Wireless Gateway CenturyLink,"Router in box is brand new and never used. Includes all network cables, phone cable, power cable, phone filters and instruction manual. Listed as used good because box has been opened. Power cord included Phone cord included",50 +Stow Green Classic Peter Rabbit Set of 6 Coasters,Peter Rabbit Classic Cork Backed Coasters Set Of 6 Peter Rabbit Classic Cork Backed Coasters Set Of 6,20 +"LENOVO ThinkPad T470p 14"" FHD Laptop, Intel Core i5-7300, 8GB DDR4 RAM, 256GB SSD, Windows 10 Pro 64Bit, CAM (Renewed)","Lenovo Thinkpad T470p Laptop Lenovo ThinkPad T470p Laptop, Intel Core i5-7300, 8GB RAM, 256GB SSD. Display: 14"" screen with 1920 x 1080 resolution. Operating System: Windows 10 64 Bit – Multi-language supports English/Spanish/French. efurbished: In excellent condition, 90-days Warranty",220 +Feit Electric LED Outdoor Fixture Oil Rubbed Bronze w/Frost Glass,"LED Outdoor Fixture Oil Rubbed Bronze w/Frost Glass Integrated LED Module No Bulbs Required Energy Saving LED - Improved Light Quality PATENT PENDING. Feit Electric, 12W, LED wall lantern, oil rubbed Bronze finish, Frosted glass lens, 550 lumens, 3000K color temperature LED improved light quality Adds Extra shine to your product Manufactured in China No Bulbs Needed Uses 1 Integrated LED Module Instant Full Brightness No Bulbs Needed Uses 1 Integrated LED Module Instant Full Brightness Energy Saving LED Improved Light Quality Patent Pending",100 +Replacement for Heil Single (1) One Pole 40 Amp Replacement Condenser Contactor 1050839,"This is a Brand New Condenser Contactor This is a Brand New Condenser Contactor Single Pole Rated for 40 Amps, making it a Heavy Duty Contactor! 24 Volt Coil",220 +"American Metalcraft 20-1/2"" x 12-1/2"" Full Size Black Rectangular Beverage Tub","This beverage tub is made of steel material. The hammered look offers a rustic yet refined appearance. It sports a sleek, textured surface and free-swinging decorative handles, sure to bring an upscale flair to any event. This tub must be hand washed. This tub can be filled with ice and drinks allowing guests to help themselves to a cold drink. Comes in full size and rectangular shape. Available in black color.",70 +Frigidaire 242176503 Dispenser Tray,This is a genuine replacement part. The 242176503 number and name for the Following item is: Frigidaire 242176503 dispenser tray This is an O.E.M. Authorized part Electrolux and Frigidaire are interchangeable Name for the same brand. Item received can be in any of the two names Model number: 242176503 Brand name: FRIGIDAIRE,40 +"1150MG Mechanical, Keyless Lever Lock","Digital Door Lock, 1150 Mechanical, Keyless, Heavy-Duty Lever, Deadlocking spring latch style lock in Marine Grade Mechanical, keyless push-button lock adjustable latch Easy programmable code Lifetime Warranty Changeable Handing",50 +"Samsung Galaxy Note 4, Frosted White 32GB (Sprint)",Samsung Galaxy Note 4 SM-N910P - 32GB - White (Sprint) Smartphone 100% functional item backed by Cellular Professor's 60-day warranty Network: Sprint Storage: 32GB Sim Size: Micro Color: White,99 +"ArtWall Mark Adlington 'Wolf' Unwrapped Flat Canvas Artwork, 18 by 22-Inch","Mark Adlington 'Wolf' unwrapped canvas is a high-quality canvas print capturing the quiet yet powerful wild gaze of a intriguing wolf . This enticing imagery makes for a commanding addition to any room. Artist: Mark Adlington Title: Wolf Style: Contemporary, Subject: Animals Dimensions: 14x18 image with 2 inch accent border 100% Made in the USA; Premium Printed Reproduction on Premium Professional grade Canvas",14 +"GE Lighting 31887 LED Reveal Globe Light Bulbs, G25, Frosted Pure White, 290 Lumens, 4.5-Watts, 2-Pk. - Quantity 1","GE Lighting 31887 LED Reveal Globe Light Bulbs, G25, Frosted Pure White, 290 Lumens, 4.5-Watts, 2-Pk. - Quantity 1",30 +Fiesta Party Supplies-12 Mini Sombreros and 12 Mini Maracas for Fiesta Bunco Party,Hand Wash Only 12 Small Maracas with Seeds that Rattle Mini Sombreros with String Bottle topper sized sombreros Addorable Decor for any Fiesta Party! Awsome Party Favors for your Guests,15 +"3D Rose Letter C Monogrammed Black and White Zebra Stripes Animal Print with Hot Pink Personalized Initial Towel, 15"" x 22"", Multicolor","Machine washable, do not bleach 15 x 22 inches Made of 63Percent polyester (Microfiber)/37Percent Cotton (velour terry cloth) Image printed on Microfiber side/terry cloth side blank",10 +"Rockville REC97 Dual 12"" Ported SUV Subwoofer Sub Box Enclosure - Behind 3rd Row","RockvilIe REC97 Dual 12"" Ported SUV Subwoofer Enclosure - Behind 3rd Row Fits Behind 3rd Row, Downfire. For Tahoe/Denali SUVs. Finished with Durable Bed Liner. 3/4"" MDF Air Space: 1.25 Cubic Feet (per sub). Mounting Depth: 9"" Product Dimensions (H x W x D): 13.5"" x 42.25"" x 16.25"" inches",40 +(Set of 12) Microwave Food Storage Tray Containers - 3 Section / Compartment (Set of 12),(Set of 12) Microwave Food Storage Tray Containers - 3 Section / Compartment (Set of 12),25 +"Eurofase 22558 9-Inch LED Picture Light, Oil Rubbed Bronze","Ultra slim, low profile picture light. 6 foot cord and plug with in-line switch. Included mounting clips can be secured to the wall or to the picture frame. Unique lamping configuration eliminates the need for a transformer. 6 foot cord and plug with in-line switch Included mounting clips can be secured to the wall or to the picture frame Unique lamping configuration eliminates the need for a transformer Package dimensions: 5.511811024"" L x 1.57480315"" W x 5.511811024"" H",15 +P Premium Power Products V13H010L33-ER Compatible Projector Lamp,Replaces Epson V13H010L33-ER Brand new high quality compatible replacement bulb manufactured in our ISO 9000 factories Plastic housing engineered to perfectly fit into your projector (may be recycled) Internal safety features protect your device from electrical hazards,25 +ActyGo Replaces for Central Pneumatic Harbor Freight Air Compressor Reed Valve Valves STAINLESS,"These are the reed valves as found in fits Central Pneumatic Harbor Freight air compressors as well as Sears Craftsman E100229 and others. They measure approximately 3/8"" x 1 3/4"" You will receive (2) reed valves with your purchase.",45 +Franco PAW Patrol Sheet Set Twin,"PAW Patrol Twin Sheet Set. this cozy microfiber sheet set comes with a fitted sheet, flat sheet and pillowcase.",40 +eHomeProducts Espresso Finish Coat Rack Hall Tree Purse Jacket,"This espresso finish hall tree coat rack provides ample storage for coats and accessories. Measures 19""W x 19""D x 72""H with simple assembly required. Finish: Espresso Features Six Hooks Made from Rubberwood Dimensions: 19""W x 19""D x 72""H Simple assembly required.",50 +Non Slip Wood Protector Disk Rubber Grip Support Table Bench Cookie Sil161,"High friction rubber surfaces and durable core provide a solid grip, preventing projects from slipping while routing, sanding, carving and more. They support the workpiece without leaving marks and raise panels for edge work and finishing. Each cookie is 3"" x 1"". This listing is for 4 cookies, as pictured. Doesn't leave marks. Rubber Grip Support. Table Bench Cookie. Cookie is 3"" x 1"" 4 x Discs/Cookies",20 +"1/2"" Stone Mountain Bowl Gouge","Bowl gouges are primarily used in the production of bowls, platters, dishes and other hollow forms produced on the faceplate - normally with the grain running across the blank. Easy to use and control Used for production of bowls, platters, dishes Most hollow forms produced on the faceplate",25 +Dynatron R24 2U CPU Cooler Active for Intel Socket 2011 - Narrow ILM,"60x60x28mm PWM Fan, Aluminum Fins with Heatpipe directly Contact CPU for 2U and Up Server, Support CPU Power up to 165 Watts Heat Dissipation. Dynatron R24 2U CPU Cooler Active for Intel Socket 2011 - Narrow ILM",40 +"Vickerman Lime Ornament Set, 125 per Box","125 Shatterproof Lime Plastic Ornaments. 3-Finish Matte/Shiny/Glitter. Set of 125 Pieces. Sizes range from 1.5"" to 5.5"" Including 2 6.5' Beaded Garlands. Shatterproof Seamless Plastic Equipped with ornament caps",30 +"NORTHLIGHT 60"" Silver Sequin Snowflake with White Faux Fur Border Skirt Christmas Tree Accessories","Enjoy a beautiful Christmas with this gorgeous tree skirt Tree skirt features sparkly, silver, sequin snowflakes, on a mesh overlay Design goes all the way around Closes in the back with a velcro fasteners Care instructions: spot clean only Dimensions: 60"" diameter Material(s): polyester/faux fur Faux Fur,mesh,sequin Sowflake Tree Skirt Spot Clean Only",20 +Steel Case for #900 Magnetic Protractor,heavey duty steel case with poweder cat paint finnish MADE IN USA with USA materials and labor steel case for 900 protractor MADE IN USA with USA materials and labor,20 +Ganxin Large Professional Flexible Tripod Stand Extendable and Foldable Scoreboard Holder,Ganxin Large professional flexible tripod stand extendable and foldable scoreboard holderSpecifications: Model:tripodA Item Condition:100% New Folded size:68cm Extended size: max.190-200cm Frame Materials: Aluminum alloy Color: black Gross Weight:1KG Warranty:2 months by manufacturer/seller Folded size:68cm Extended size: max.195-200cm Frame Materials: Aluminum alloy,60 +HYNIX HMT125U7BFR8C-H9 2GB DDR3 PC10600 240P DIMM,HYNIX HMT125U7BFR8C-H9 PC3-10600E DDR3-1333 2GB ECC 2RX8 HYNIX PART# HMT125U7BFR8C-H9 PC3-10600E DDR3-1333 2GB ECC 2RX8,50 +"Urban Shop Tufted Office Chair, Ivory",Tufted Leather effect is contemporary and stylish Sturdy armrests for added comfort Adjustable lever for varying heights Pneumatic Seat Height adjustable office chair Assembly required Weight capacity: 225 lbs.,110 +NVX XAD21 2000W RMS 1-OHM Stable Full Bridge Class D High Power Competition Full Range Bridgeable 2-Channel Car Audio MOSFET Amplifier,,40 +#30 Tri-Groove Socket,"Drive: 3/8"" Socket Length: 1-7/32""Fits Nut Size: 5/16"", 3/8"" And 8mmFor Use With Tri-Groove FastenersNot For Use With Pneumatic And Electric Impact WrenchesSocket Length May Vary Slightly, Contact To Confirm If Needed Drive: 3/8"" Socket Length: 1-7/32"" Use To Drive 5/16"", 3/8"" And M8 Tri-Groove Nuts",50 +Kohler K-T22024-4-BL Kohler K-T22024-4 Tempered Deck Mounted Roman Tub Filler,"This Certified Refurbished product is manufacturer refurbished, shows limited or no wear, and includes all original accessories plus a 90-day limited hardware warranty. Finish: Matte Black Manufactured By: Kohler Faucet Centers: 8 in.",40 +"Warehouse of Tiffany CM084/4 Tegan Black & Gold 4 Ceiling Light with Glass Shades Flushmount, Black/Gold",This semi-flush mounted indoor ceiling lamp offers plenty of illumination for your home. The finish combination of black and gold paired with four enclosed clear glass globes makes for a clean and modern fixture. It will showcase your excellent taste for decorating. Lighting Type: Semi-Flush mount Number of Lights: Four (4) Bulb Type: 60-W E12 (not included) Line switch ETL Listed,50 +Absolute USA P16-500GR 16 Gauge 500-Feet Spool Primary Power Wire Cable (Green),16 Gauge 500 FT Spool Primary Power Wire Cable Color Green Durable and Flexible for easy installation,40 +21st Century Model 138 Fiberglass Kerosene Heater Wick,"21st Century's Fiberglass Kerosene Heater Wicks are made of graphite coated fiberglass, a re-inforced cloth band and the highest quality cotton. Wick Model 138 fits Kero-sun OMNI105 (M,N,R), OMNI 120, OMNI 230 (B) Contact us for a free cross reference chart.. High quality cotton Graphite coated fiberglass Multiple set lines Package Dimension: 11.0"" L x 7.0"" W x 1.0"" H",55 +Whirlpool 7403P238-60 Infinite Switch for Range,Works with the following models: Samsung RESF3330DB Samsung RESF3330DW Samsung RESF5330DT 7403P238-60 Genuine Replacement Part,40 +"Naiture 36"" Standard Stainless Steel Shower Rod Ceiling Support with 1'' Loop, Brushed Nickel Finish","Material: Stainless Steel 1/4"" thick solid rod. Complete with eye loop and ceiling-mount flange. May be cut to fit ceiling height. Includes mounting hardware.",30 +ArtDirect M.C. Escher 2X Matted 24x20 Black Ornate Framed Art Print 'Dragonfly',This is a high quality framed and double matted open edition art print. The frame is a two inch black ornate wood frame. The high quality art print is in stock and framed within a business day of order placement. Your satisfaction is guaranteed. High Quality Large Framed and Double Matted Open Edition Art Print Two Inch Wide Black Ornate Wood Frame In Stock - Framed and Shipped Out within One Business Day Satisfaction Guaranteed Made in the U.S.A.,20 +"Jean Dubost 4 Piece Cheese Board Set, Ivory",This Jean Dubost cheese board set is great for slicing and serving all types of cheeses. It's a perfect addition to any party or get together. Abs Handles Stainless Steel Blades Certificate Of Authenticity Color: Ivory This Jean Dubost Cheese Board Set Is Great For Slicing And Serving All Types Of Cheeses. It's A Perfect Addition To Any Party Or Get Together.,45 +"Signs 4 Fun SIGJW9 John Wayne-Courage Metal Tin Sign, Brown",John Wayne - Courage Metal Tin Sign Unembossed Tin Built To Last. Great Item To Give as A Gift.,10 +Backcountry Access BCA BC Link 2.0 Two-Way FRS Radio + Frogzskin Vent Kit,Includes BCA BC Link 2.0 FRS Two-Way Radio Includes Frogz Skin Speaker & Microphone Vent Kit 22 FRS channels + 121 sub-channels ensures minimal interference Meet all criteria set out by the revised FCC CFR 47 Part 95B,40 +"Southwire Company 26977906 Building Wire, 18 Awg/ 1 Cond, Black, 500Ft",Southwire 500 ft. 18 Solid TFN Building Wire Wire Length: 500' Gauge Conductors: 18 Cable or Wire Type: TFN Color: Black uSE FOR Indoor,20 +Peony Flower Wreath for Front Door Pink Valentine's Day Wreath Artificial Spring Floral Welcome Wreath Summer Garland for Door Window Wall Wedding Party Office Home Decor,,30 +"LAPUDA Beautiful Hand Beading of Wedding Flower Basket with Elegant Appearance and Ivory Color, Clusters of Stars Style (1 Basket)",Basket Color is available in Ivory & White Applique : Clear Rhinestones Basket size: The total height is 8.6 inches. (Including handle height) Basket Color is Ivory Applique : Clear Rhinestones Basket size: The total height is 8.6 inches. (Including handle height),25 +Brookstone Wine Chilling Stick,"Chills your wine without watering it down Contoured spout allows for a drip-free pour To prep the stick, simply place it in the freezer for at least 1 hour Keeps wine perfectly chilled and ready to serve Keep your wine chilled and ready to go",80 +"Plug-in Transformr, 115V in, 16.5V Out, 20V","Plug-in Transformr,115V In,16.5V Out,20V Country of manufacture: China Door and Cabinet Hinges & Hardware Manufacturer: ALTRONIX",35 +"Supermicro E200-9B Pentium N3700 4X Intel LAN Mini Server, 8GB & 120GB mSATA SSD - Configured and Assembled by MITXPC",,150 +BQ220220 - Cutler Hammer Circuit Breakers,"2 Pole 20 Amp - 2 Pole 20 Amp Quad Breaker Cutler Hammer Type BQ Quad 2 Pole 20 and 2 Pole 30 2 Pole 20 and 2 Pole 30 10,000 aic @ 120 / 240Volt",40 +A&B Home Keyhole Vase,"This ceramic keyhole shape vase, designed by Anthony venetucci, has a ceramic construction. It has a lovely silver color with a metallic finish. The metallic tone gives it a rich appeal and makes it appear like a priceless treasure. It is a wonderful decorative piece for any style of room in your home. Made of ceramic Silver color with metallic finish Anthony venetucci design Perfect for home decor",30 +Bommeow Battery Charger Combo for ICOM IC-705 as BP-307 (CB-BICL0307-3350-D),Value Set 1 Charger with 1 Battery Combo Fit ICOM: IC-705 Two Way Radio Model OEM Charger: BC-202 Fit Battery: BP-307 Battery: 7.4 V | 3350 mAh | Li-ion | Densely constructed w/ thick shell casing Maintain high capacity for 12 months from date of shipment.,40 +"Hardware House H10-3947 Dakota Outdoor Fixture Post Light, Antique Silver",From the Manufacturer Dakota Series Outdoor Fixture Post Light Antique Silver. 6-3/4-inch by 8-1/2-inch 100-watt light Antique Silver Finish With Seedy Glass Bulbs not included,60 +"Valved ""Y"" Connections Model Code: AH - Price is for 1 Each (part# 111)",Oxygen RH Female B-Size. High Quality adapters and connectors for Regulators and gas cylinders. Please take extra consideration to ensure the connector you are purchasing will work with the appropriate gas use. Oxygen RH Female B-Size Outlet: 2 - Oxygen RH Male B-Size Material: Brass Max Pressure: 200 psi Size: CGA-022,20 +Lee Double Curtain Rod 66-120 inch - Satin Nickel,"Rod Desyne is pleased to introduce our designer-looking adjustable Lee Double Drapery Rod made with high quality steel pole. This curtain rod will add an elegant statement to any room. Matching single rod Includes two 13/16 inch diameter adjustable poles, extends 66-120 inch, 3 double brackets, and mounting hardware Projection: wall to back rod: 3.75"", wall to front rod: 6.375"" inches Each Lee finial measures W 1-3/8"", H 1-1/16"", D 1-1/16""",30 +"DeWalt DW735/DW735X 13"" Planer 4 Pack Replacement Carbon Brush # 5140011-85-4PK",Sold on Amazon,20 +"Dagan Wood Basket (DG-13BLK), Black","The Dagan Wood Basket provides a premium carrier to store your firewood. Made from durable steel with a black finish and a filigree body design, this log holder is built to last. Neatly stack your logs in this 3 pound, 21-inch long wood basket. Premium fireplace wood basket Made from durable steel with a black finish Beautiful filigree body design 21-inches long and weighs 3 pounds Manufacturer #: 13BLK",45 +Culligan Seal Pack,Culligan Seal Pack. This is a genuine OEM (Original Equipment Manufacturer) part. Use genuine OEM parts for safety reliability and performance. This is a genuine OEM (Original Equipment Manufacturer) part. Use genuine OEM parts for safety reliability and performance.,35 +Embraco EMI70HNR Replacement Refrigeration Compressor 1/3 HP R-134A R134A,This is a Brand New EMBRACO Refrigeration Compressor This is a Brand New EMBRACO Refrigeration Compressor 1/3 HP 115V R-134A / R134A / Aftermarket replacement for Embraco # EMI70HNR,60 +Essy serum for skin care pink 1 pack 60ML,"Brand sorrento P1419-10 Faux silk fabric Dimension :50"" Decoration High Quality Christams tree skirt style Secure around tree stand with the Velcro 100 % Polyester,faux Silk,sequin Dimensions:50""/Color:silver Faux silk with sequin embroidery to the 100% polyester fabric 100% polyurethane or foam filling High quality with lowest price Can be re-used yesr after year",40 +"Silk Shantung Traditional Bell Shaped Lamp Shade, Eggshell color | 16 Inch by UpgradeLAMPS",This beautiful classic shade can update any lamp style you have. Upgradelights traditional silk bell shaped lamp shade is a part of a timeless collection. Perfect for anyone who is looking for a traditional & elegant lampshade. Exterior Fabric: Hand Tailored Silk-Type Shantung Shantung Silk Imported Shade Dimensions in Inches: Top is (8 x 16 x 12) inches Shape & Style: Bell shaped for a Traditional elegant style Polished brass spider fitting. Creme fabric with self trim.,45 +"wall26 Canvas Print Wall Art Eagle Insignia Army & Family Flag Pop Culture Cultural Digital Art Modern Art Traditional Colorful for Living Room, Bedroom, Office - 32""x48""","High quality printed artwork stretched to fit on durable and shrink-resistant canvas. Great gift idea for friends and family for holidays or other special occasions. 1.5"" stretcher bars to give artwork a gallery-quality profile. Hanging accessory toolkit included with all artwork. Note: Due to monitor display issues, actual colors may slightly differ from pictures.",20 +Teen Wolf Mtv Poster 2ftx3ft,"Teen Wolf Mtv Poster 2ftx3ft,Size: 24inx36in, produced on quality poster paper. Measures 24""x36"" 24 inches x 36 inches Paper poster, Condition: NEW Packaged rolled inside cardboard tube Wall Art for any room",10 +Serta Motion Perfect 2.0 (New Black 2020 Version-) Replacement Remote for Adjustable Bed- Does NOT Have 6 PINS,"This is the genuine replacement remote for the Serta Motion Perfect 2.0 Adjustable Base. As of 2018 Serta discontinued the old white color remote and replaced it with the current black remote without a Serta logo. The same remote works for two bases (one from Simmons) so they were able to save on skus at the factory. If your old remote's buttons or the word ""Massage"" are in different places this remote will not be compatible with your base.",35 +Head Case Designs Officially Licensed Barruf Gentle Pug Dogs Leather Book Wallet Case Cover Compatible with Samsung Galaxy S21 Ultra 5G,Head Case Designs Officially Licensed Barruf product Handcrafted leather construction Multiple card slots for ID or credit cards Multi-view stand. Ideal for watching movies Magnetic closure system,20 +AFC (TM) AFC-EPH-1200-2-12000SKC Water Filter (Comparable to BodyGlove (R) BG-3000R ) Made in U.S.A (1),Micron Rating: 0.5 Microns Flow Rate: 0.5 GPM 1:89 LMP - 2.0 GPM/7.56 LMP Capacity: 12 months or 9000 Gallons Dimensions: 3.4″ Tall X 12.25″ Wide Max Temp: for cold water use only: 100° F (38° C) Max Pressure: 125 PSI,25 +"Cosmas 25 Pack 464SN Satin Nickel Leaf Cabinet Hardware Round Knob - 1-1/4"" Inch Diameter","High Quality Satin Nickel Finish Knob Diameter: 1-1/4"" Projection: 1"" Base of Knob Diameter: 5/8"" Individually Polybagged with 1"" Mounting Screws Included",15 +"ION TOOL Pry Bar 4 Piece Set, 8-24 inch with Hammer Top","4 Piece Pry Bar Set, comes in the following sizes: 24”, 19”, 13”, 8”. Quality Construction from forged square stock, will not easily bend or twist. Striking Cap designed for hammer striking to power through your project. Premium non-slip handles with attractive two-tone color design. Customer satisfaction guaranteed. US based company with fast and exceptional customer service.",65 +"WES CLASSIC ECONOMY, Manufacturer: WES, Part Number: 398004-AD, VPN: 120-0015-AD, Condition: New",,50 +Dometic 385311647 Dometic 385311647 Seat and Lid for 310 Series Toilet - Bone,"Dometic ducting attaches easily to duct rings, grilles, and transition boxes and is constructed from a Mylar fabric shell with 1"" thick insulation. 5"" x 25' size. Package Dimensions: 21 L x 5 H x 19 W (inches) Package Weight : 3 pounds Country of Origin : China Part number: 385311647",85 +Vickerman 9' Unlit Upside Down Artificial Christmas Tree (A860180),"9' x 102"" unlit Upside Down tree featuring 2420 PVC tips, making this festive tree the perfect addition to any room. 2420 PVC Tips Unlit, 2420 PVC Tips 10 Year Limited Manufacturer 9' x 102""",110 +BOYO VTS18HD - Tailgate Door Handle HD Backup Camera for Toyota Tacoma 2005-2014 (Black Door Handle),VTS18HD: Vehicle Specific Toyota Tacoma Tailgate Door-handle Camera Fits Toyota Tacoma 2005~2014;Sony HD CCD;600 TVL horizontal resolution;768(H) x 494(V) pixels; Waterproof IP67;130 degree wide viewing angle;0.1 lux; Reverse Image; Parking lines on/off selectable,50 +"Consumable Kit, 30 AMP, for XT30","The consumable kit is for use with XT30 torch. It includes 5 electrodes (249926), 5 tips (249927), 1 swirl ring (249931), 1 retaining cup (249932), 1 O-Ring (249969) and 1 grease pack (252951). Amps: 30 AMP Application: Plasma Cutting For use with: XT30 torch",60 +Efergy Elite 4.0 Wireless Electricity Monitor,"Large wireless portable compact display can be placed anywhere in the home DIY - easy, quick and safe installation and Set up Energy monitors are not designed to replace or be as accurate as your supply meter as meters are highly accurate and monitors are a guide Home instant real-time energy consumption readings",50 +Grey Pneumatic GY1326M 1/2 Inch Drive 26 Pieces Standard Lenght Metric Master Set,"High quality chro-moly alloy steel. GP High Torque Drive Socket design for increased strength with reduced chance of fastener rounding. .Comes in a molded case. Molded cases feature removable top for use as a toolbox tray. Set Includes: (1/2"" Drive; 6 Points): 10mm Thru 36mm Standard Length Impact Sockets.",65 \ No newline at end of file diff --git a/week6_wip/items-backup.py b/week6_wip/items-backup.py new file mode 100644 index 0000000..e58f002 --- /dev/null +++ b/week6_wip/items-backup.py @@ -0,0 +1,101 @@ +from typing import Optional +from tqdm import tqdm +from datasets import load_dataset +from transformers import AutoTokenizer +import re + +BASE_MODEL = "meta-llama/Meta-Llama-3.1-8B-Instruct" +MIN_TOKENS = 100 +MAX_TOKENS = 141 + +class Item: + + tokenizer = AutoTokenizer.from_pretrained(BASE_MODEL, trust_remote_code=True) + PREFIX = "Price is $" + + title: str + price: float + category: str + token_count: int = 0 + text: Optional[str] + details: Optional[str] + prompt: Optional[str] = None + include = False + + def __init__(self, data, price, category): + self.title = data['title'] + self.price = price + self.category = category + self.parse(data) + + def scrub_details(self): + details = self.details + removals = ['"Batteries Included?": "No"', '"Batteries Included?": "Yes"', '"Batteries Required?": "No"', '"Batteries Required?": "Yes"', "By Manufacturer", "Item", "Date First", "Package", ":", "Number of", "Best Sellers", "Number", "Product "] + for remove in removals: + details = details.replace(remove, "") + return details + + + def parse(self, data): + self.text = self.title + '\n' + self.text += '\n'.join(data['description'])+ '\n' + self.details = data['details'] + if self.details: + self.text += self.scrub_details() + '\n' + features = '\n'.join(data['features']) + if features: + self.text += '\n' + features + self.text = re.sub(r'[:\[\]"{}【】\s]+', ' ', self.text).strip() + self.text = self.text.replace(" ,", ",").replace(",,,",",").replace(",,",",") + tokens = self.tokenizer.encode(self.text, add_special_tokens=False) + if len(tokens) > MIN_TOKENS: + tokens = tokens[:MAX_TOKENS] + self.text = self.tokenizer.decode(tokens) + self.make_prompt() + self.count_tokens() + self.include = True + + def question(self): + prompt = "How much is this?\n" + prompt += f"{self.text}\n" + return prompt + + def messages(self): + return [ + {"role":"system", "content": "You estimate prices to the nearest dollar"}, + {"role":"user", "content": self.question()}, + {"role":"assistant", "content": f"{self.PREFIX}{str(round(self.price))}.00"} + ] + + def make_prompt(self): + prompt = self.tokenizer.apply_chat_template(self.messages(), tokenize=False, add_generation_prompt=False) + groups = prompt.split('\n\n') + self.prompt = groups[0]+'\n\n'+'\n\n'.join(groups[2:]) + + def count_tokens(self): + self.token_count = len(self.tokenizer.encode(self.prompt)) + + def tokens_between(self, low, high): + return self.token_count >= low and self.token_count < high + + def test_prompt(self): + return self.prompt.split(self.PREFIX)[0] + self.PREFIX + +def read_dataset(name): + print(f"Loading dataset {name}", flush=True) + dataset = load_dataset("McAuley-Lab/Amazon-Reviews-2023", f"raw_meta_{name}", split="full", trust_remote_code=True) + results = [] + for data in dataset: + try: + price_str = data['price'] + if price_str: + price = float(price_str) + if price >= 0.5 and price <= 999.49: + item = Item(data, price, name) + if item.include: + results.append(item) + except ValueError: + pass + print(f"Completed loading {name} with {len(results):,} datapoints", flush=True) + del dataset + return results \ No newline at end of file diff --git a/week6_wip/items.py b/week6_wip/items.py new file mode 100644 index 0000000..7da1899 --- /dev/null +++ b/week6_wip/items.py @@ -0,0 +1,94 @@ +from typing import Optional +from tqdm import tqdm +from datasets import load_dataset +from transformers import AutoTokenizer +import re + +BASE_MODEL = "meta-llama/Meta-Llama-3.1-8B" +MIN_TOKENS = 150 +MAX_TOKENS = 160 +MIN_CHARS = 300 +CEILING_CHARS = MAX_TOKENS * 7 + +class Item: + + tokenizer = AutoTokenizer.from_pretrained(BASE_MODEL, trust_remote_code=True) + eos = tokenizer.eos_token + bos = tokenizer.bos_token + PREFIX = "Price is $" + QUESTION = "How much does this cost to the nearest dollar?" + + title: str + price: float + category: str + token_count: int = 0 + text: Optional[str] + details: Optional[str] + prompt: Optional[str] = None + include = False + + def __init__(self, data, price, category): + self.title = data['title'] + self.price = price + self.category = category + self.parse(data) + + def scrub_details(self): + details = self.details + removals = ['"Batteries Included?": "No"', '"Batteries Included?": "Yes"', '"Batteries Required?": "No"', '"Batteries Required?": "Yes"', "By Manufacturer", "Item", "Date First", "Package", ":", "Number of", "Best Sellers", "Number", "Product "] + for remove in removals: + details = details.replace(remove, "") + return details + + def scrub(self, stuff): + stuff = re.sub(r'[:\[\]"{}【】\s]+', ' ', stuff).strip() + stuff = stuff.replace(" ,", ",").replace(",,,",",").replace(",,",",") + words = stuff.split(' ') + select = [word for word in words if len(word)<7 or not any(char.isdigit() for char in word)] + return " ".join(select) + + def parse(self, data): + contents = '\n'.join(data['description']) + if contents: + contents += '\n' + features = '\n'.join(data['features']) + if features: + contents += features + '\n' + self.details = data['details'] + if self.details: + contents += self.scrub_details() + '\n' + if len(contents) > MIN_CHARS: + text = f"{self.scrub(self.title)}\n{self.scrub(contents[:CEILING_CHARS])}" + tokens = self.tokenizer.encode(text, add_special_tokens=False) + if len(tokens) > MIN_TOKENS: + tokens = tokens[:MAX_TOKENS] + text = self.tokenizer.decode(tokens) + self.make_prompt(text) + self.include = True + + def make_prompt(self, text): + self.prompt = f"{self.QUESTION}\n\n{text}\n\n" + self.prompt += f"{self.PREFIX}{str(round(self.price))}.00" + self.token_count = len(self.tokenizer.encode(self.prompt, add_special_tokens=False)) + + def test_prompt(self): + return self.prompt.split(self.PREFIX)[0] + self.PREFIX + +def read_dataset(name): + print(f"Loading dataset {name}", flush=True) + dataset = load_dataset("McAuley-Lab/Amazon-Reviews-2023", f"raw_meta_{name}", split="full", trust_remote_code=True) + results = [] + for data in dataset: + try: + price_str = data['price'] + if price_str: + price = float(price_str) + if price >= 0.5 and price <= 999.49: + item = Item(data, price, name) + if item.include: + results.append(item) + except ValueError: + pass + print(f"Completed loading {name} with {len(results):,} datapoints", flush=True) + del dataset + return results \ No newline at end of file diff --git a/week6_wip/items_processing.py b/week6_wip/items_processing.py new file mode 100644 index 0000000..1d936a4 --- /dev/null +++ b/week6_wip/items_processing.py @@ -0,0 +1,133 @@ +from typing import Optional +from datetime import datetime +from tqdm import tqdm +from datasets import load_dataset +from transformers import AutoTokenizer +import re +from concurrent.futures import ProcessPoolExecutor, ThreadPoolExecutor + +BASE_MODEL = "meta-llama/Meta-Llama-3.1-8B" +MIN_TOKENS = 150 +MAX_TOKENS = 160 +MIN_CHARS = 300 +CEILING_CHARS = MAX_TOKENS * 7 + +class Item: + + tokenizer = AutoTokenizer.from_pretrained(BASE_MODEL, trust_remote_code=True) + PREFIX = "Price is $" + QUESTION = "How much does this cost to the nearest dollar?" + + title: str + price: float + category: str + token_count: int = 0 + details: Optional[str] + prompt: Optional[str] = None + include = False + + def __init__(self, data, price): + self.title = data['title'] + self.price = price + self.parse(data) + + def scrub_details(self): + details = self.details + removals = ['"Batteries Included?": "No"', '"Batteries Included?": "Yes"', '"Batteries Required?": "No"', '"Batteries Required?": "Yes"', "By Manufacturer", "Item", "Date First", "Package", ":", "Number of", "Best Sellers", "Number", "Product "] + for remove in removals: + details = details.replace(remove, "") + return details + + def scrub(self, stuff): + stuff = re.sub(r'[:\[\]"{}【】\s]+', ' ', stuff).strip() + stuff = stuff.replace(" ,", ",").replace(",,,",",").replace(",,",",") + words = stuff.split(' ') + select = [word for word in words if len(word)<7 or not any(char.isdigit() for char in word)] + return " ".join(select) + + def parse(self, data): + contents = '\n'.join(data['description']) + if contents: + contents += '\n' + features = '\n'.join(data['features']) + if features: + contents += features + '\n' + self.details = data['details'] + if self.details: + contents += self.scrub_details() + '\n' + if len(contents) > MIN_CHARS: + text = f"{self.scrub(self.title)}\n{self.scrub(contents[:CEILING_CHARS])}" + tokens = self.tokenizer.encode(text, add_special_tokens=False) + if len(tokens) > MIN_TOKENS: + tokens = tokens[:MAX_TOKENS] + text = self.tokenizer.decode(tokens) + self.make_prompt(text) + self.include = True + + def make_prompt(self, text): + self.prompt = f"{self.QUESTION}\n\n{text}\n\n" + self.prompt += f"{self.PREFIX}{str(round(self.price))}.00" + self.token_count = len(self.tokenizer.encode(self.prompt, add_special_tokens=False)) + + def test_prompt(self): + return self.prompt.split(self.PREFIX)[0] + self.PREFIX + + +class ItemLoader: + + def __init__(self, name): + self.name = name + self.dataset = None + + def from_datapoint(self, datapoint): + try: + price_str = datapoint['price'] + if price_str: + price = float(price_str) + if price >= 0.5 and price <= 999.49: + item = Item(datapoint, price) + if item.include: + return item + except ValueError: + pass + return None + + def from_chunk(self, chunk): + batch = [] + for datapoint in chunk: + result = self.from_datapoint(datapoint) + if result: + batch.append(result) + return batch + + def make_chunks(self): + print("Preparing data chunks...", end="", flush=True) + size = len(self.dataset) + chunks = [] + for i in range(0, size, 1000): + chunks.append(self.dataset.select(range(i, min(i + 1000, size)))) + print(" done.", flush=True) + return chunks + + def load_in_parallel(self, chunks, workers): + results = [] + with ProcessPoolExecutor(max_workers=6) as pool: + for batch in tqdm(pool.map(self.from_chunk, chunks), total=len(chunks)): + results.extend(batch) + for result in results: + result.category = self.name + return results + + def load(self, workers=8): + start = datetime.now() + print(f"Loading dataset {self.name}", flush=True) + self.dataset = load_dataset("McAuley-Lab/Amazon-Reviews-2023", f"raw_meta_{self.name}", split="full", trust_remote_code=True) + chunks = self.make_chunks() + results = self.load_in_parallel(chunks, workers) + finish = datetime.now() + print(f"Completed loading {self.name} with {len(results):,} datapoints in {(finish-start).total_seconds()/60:.1f} mins", flush=True) + return results + + + + \ No newline at end of file diff --git a/week6_wip/items_qwen.py b/week6_wip/items_qwen.py new file mode 100644 index 0000000..b2670fb --- /dev/null +++ b/week6_wip/items_qwen.py @@ -0,0 +1,94 @@ +from typing import Optional +from tqdm import tqdm +from datasets import load_dataset +from transformers import AutoTokenizer +import re + +BASE_MODEL = "Qwen/Qwen2-7B" +MIN_TOKENS = 150 +MAX_TOKENS = 160 +MIN_CHARS = 300 +CEILING_CHARS = MAX_TOKENS * 7 + +class Item: + + tokenizer = AutoTokenizer.from_pretrained(BASE_MODEL, trust_remote_code=True) + eos = tokenizer.eos_token + bos = tokenizer.bos_token + PREFIX = "Price is $" + QUESTION = "How much does this cost to the nearest dollar?" + + title: str + price: float + category: str + token_count: int = 0 + text: Optional[str] + details: Optional[str] + prompt: Optional[str] = None + include = False + + def __init__(self, data, price, category): + self.title = data['title'] + self.price = price + self.category = category + self.parse(data) + + def scrub_details(self): + details = self.details + removals = ['"Batteries Included?": "No"', '"Batteries Included?": "Yes"', '"Batteries Required?": "No"', '"Batteries Required?": "Yes"', "By Manufacturer", "Item", "Date First", "Package", ":", "Number of", "Best Sellers", "Number", "Product "] + for remove in removals: + details = details.replace(remove, "") + return details + + def scrub(self, stuff): + stuff = re.sub(r'[:\[\]"{}【】\s]+', ' ', stuff).strip() + stuff = stuff.replace(" ,", ",").replace(",,,",",").replace(",,",",") + words = stuff.split(' ') + select = [word for word in words if len(word)<7 or not any(char.isdigit() for char in word)] + return " ".join(select) + + def parse(self, data): + contents = '\n'.join(data['description']) + if contents: + contents += '\n' + features = '\n'.join(data['features']) + if features: + contents += features + '\n' + self.details = data['details'] + if self.details: + contents += self.scrub_details() + '\n' + if len(contents) > MIN_CHARS: + text = f"{self.scrub(self.title)}\n{self.scrub(contents[:CEILING_CHARS])}" + tokens = self.tokenizer.encode(text, add_special_tokens=False) + if len(tokens) > MIN_TOKENS: + tokens = tokens[:MAX_TOKENS] + text = self.tokenizer.decode(tokens) + self.make_prompt(text) + self.include = True + + def make_prompt(self, text): + self.prompt = f"{self.QUESTION}\n\n{text}\n\n" + self.prompt += f"{self.PREFIX}{str(round(self.price))}.00" + self.token_count = len(self.tokenizer.encode(self.prompt, add_special_tokens=False)) + + def test_prompt(self): + return self.prompt.split(self.PREFIX)[0] + self.PREFIX + +def read_dataset(name): + print(f"Loading dataset {name}", flush=True) + dataset = load_dataset("McAuley-Lab/Amazon-Reviews-2023", f"raw_meta_{name}", split="full", trust_remote_code=True) + results = [] + for data in dataset: + try: + price_str = data['price'] + if price_str: + price = float(price_str) + if price >= 0.5 and price <= 999.49: + item = Item(data, price, name) + if item.include: + results.append(item) + except ValueError: + pass + print(f"Completed loading {name} with {len(results):,} datapoints", flush=True) + del dataset + return results \ No newline at end of file diff --git a/week6_wip/test.csv b/week6_wip/test.csv new file mode 100644 index 0000000..fd21b98 --- /dev/null +++ b/week6_wip/test.csv @@ -0,0 +1,200 @@ +"Amba SAFSP-33 Free Standing Plug-In Towel Warmer, Polished",Heats quickly Made of 18/8 stainless steel Built in on/off switch Ten crossbars allow optimal drying Horizontal and vertical bars are heated,0 +AnyTone AT-D878UV Plus D878UV D868UV D858 Battery Pack 7.4V 3100mAh with Belt Clip,Original AnyTone 3100mAh Li-ion Battery with Belt Clip for AnyTone AT-D878UV Plus D878UV D868UV D858 BTECH DMR-6X2 radio. Original AnyTone 3100mAh Li-ion Battery with Belt Clip for AnyTone AT-D878UV Plus D878UV D868UV D858 BTECH DMR-6X2 radio.,0 +"Whitmor, Espresso Deluxe 6 Organizer with 3 Fabric Cubes","Great for quick organization and storage, this 6 cube organizer with 3 fabric cubes is the perfect small space storage solution eatures 6 cubes with 3 additional fabric cubes for organization and display of a variety of household items Wall mount accessory included Assembled dimensions: 15 L x 32.5 W x 37 H inches Constructed of laminated particleboard for stability and durability Easy assembly, Phillip's screwdriver needed For over 70 years, Whitmor has been bringing organization home. If you have questions or problems, please contact us for immediate assistance",0 +"Lori Mitchell 33164 Little Lost Lamb Figurine 5.5""","Lori Mitchell 33164 Little Lost Lamb Figurine 5.5"" Poly Resin 5.5"" Tall",0 +"Madison Bay Co Double Clear Ribbed Inkwells with Wood and Brass Stand, Vintage R","Madison Bay Co Double Clear Ribbed Inkwells with Wood and Brass Stand, Vintage R.",0 +ClimaTek Refrigerator Door Bin Shelf for Kenmore 2187172K,"This is a Brand New Aftermarket Refrigerator Door Bin Shelf This is a Brand New Aftermarket Refrigerator Door Bin Shelf This is a top quality white replacement refrigerator door bin. It attaches to the back of the door. Approx. 16.625"" W x 7"" D x 3.875"" H",0 +SmithOutlet 25 Pack Over The Head Low Cost Headphones in Bulk,"Pack of 25 Headphones; Each Headphone Individually Packaged and Sealed Extra Soft Leatherette Ear Cushions; Ear Cushions Can Be Wiped Clean Cord Length 4.5 Feet; Single Cord for Both Ears for Tangle-Free Use Stereo 3.5 MM Plug Works with iPods, iPhones, iPads, Smartphones, Chromebooks, Tablets, Laptops, Computers, Fitness and Audio Equipment Great for Students, Schools, Hospitals, Hotels, Musuems, Gyms, Dentists, Libraries and more",0 +Kodak Ektar 100 135-36 (Pack of 3),Kodak Ektar 100 135-36 (Pack of 3) World's finest grain color negative film Extraordinary enlargement capability from a 35mm negative. Ultra-vivid color and optimized sharpness. Distinct edges and fine detail. Incorporates entertainment imaging's KODAK vision film technology. Micro-structure optimized t-grain emulsions.,0 +"Kohler Prolific Large Bamboo Cutting Board, 21 in. L x 15.875 in. W",K-23680 | Prolific Large Bamboo Cutting Board | KOHLER Fits securely on K-23650-NA (covers the entire sink) or K-23652-NA (covers half the sink). May also be used with the K-23651-NA and K-5540-NA Prolific kitchen sinks. Countertop height creates a truly comfortable work surface for easy food prepping.,0 +"KC Republic Phone Brush Cleaning Kit with Mini Soft Round Cotton and Felt Tip Brushes, Clean Phone, Water Wet Phones, Dry Phones, Tablet, Laptop, or Computer, 3 Different Size Heads, (25 pieces)","Mini Tip Brushes For Cleaning Small Hard To Reach Places and Water Out of Phones Easily Remove Dirt, Sand, Water, or Debris From Small Crevices Felt Tip Attracts Water from Wet phone and Can Be Wet To Clean Out Dirt or Debris Cotton Round Tips For Soft Clean Touch On Camera Phone, Tablet, or Laptop Lenses Note: Brushes are Disposable",0 +"Atlas Homewares 4010-BRN 2-Inch Wine Glass Knob, Brushed Nickel","From the Manufacturer Wet Bar - It is always 5pm somewhere For Other Mini-Bar Knobs in this Finish and Collection See Items 4009-BRN, 4011-BRN & 4012-BRN Width: 1.5-Inch Projection: 1.5-Inch",0 +"Precious Moments ""My Gift for Him Figurine","With a message of peace and goodwill, this little drummer boy is a perfect addition to the Precious Moments standard size nativity. Porcelain bisque figurine 4.5"" high. Ornament Drummer Boy playing his drum standard size Each Piece Is Porcelain Bisque; Hand Sculpted and Hand Painted Infused with honest emotion it shares a message that speaks straight to the heart Indoor Use Only; Should Be Dusted Occasionally Packaged in a box made from recycled materials",0 +Flora-cal Products Fake Red Wine Set Fake Drinks,"Fake Red Wine Set Fake Drinks Artificial Red wine bottle, glass and grape set. The fake liquid is solid. Artificial Red Wine Display Food Prop Decoration Bottle Size: 3"" X 12""H Wine Glass Size: 3-1/4""D x 6""H Made in America",0 +HTC Desire 610 (AT&T Go Phone) No Annual Contract,"• WARNING: This product contains a chemical known to the State of California to cause cancer, birth defects or other reproductive harm. This refurbished product is tested and certified to look and work like new. The refurbishing process includes functionality testing, basic cleaning, inspection, and repackaging. The product ships with all relevant accessories, and may arrive in a generic box",0 +GARDENGREETERS Lighthouse Guiding Light Black and White Solar LED Outdoor Lighthouse Statue f,"Made of polyresin. Approximate size: 8""Dia x 20.5""H. Good for indoor/outdoor. Light will automatically light up at dark/night. Made of resin Approximate size: 8"" Dia x 20.5""H Good for indoor/outdoor",0 +Incipio HTC Inspire 4G Feather Ultralight Hard Shell Case - 1 Pack - Case - Retail Packaging - Black,"The feather is an ultra light weight hard shell case for the HTC Incredible, made of a durable and rigid polycarbonate material. A fan favorite case, the feather is loved for its slim, sleek, and sexy look. Less than 1mm thin - Ultra light, ultra strong polymer Form-fitting case that offers low-profile protection Provides full access to all ports and buttons",0 +Dm/Tnc Tamper,Vita-Mix 000760 Tamper. This is a genuine OEM (Original Equipment Manufacturer) part. Use genuine OEM parts for safety reliability and performance,0 +Skuttle 000-0814-008 Transformer 24 VAC 10VA,"Transformer 24 VAC 10VA Country Of Origin: United States Model Number: 000-0814-008 Item Package Dimensions: 1.0"" L x 1.0"" W x 1.0"" H Item Package Weight: 1.0 lb",0 +Desiderata 24x20 Framed Art Print,Desiderata 24x20 Framed Art Print High quality framed art print Two inch wide black wood frame In stock and ready to frame and ship Custom packed for safe delivery Satisfaction Guaranteed,0 +3-Wick Candle - Peach Bellini - 14.5 oz / 411 g,Peach Bellini flavored 3-Wick Candle best for sensational aromatherapy. Aromatherapy,0 +Shakespeare 5120 8' AM/FM Stereo Antenna with 15' RG-62 cable,"Continuing the tradition, Shakespeare’s Centennial 5120 AM/FM antenna puts high-end features where high-end does the most good. When you’re far from your favorite stations, this antenna helps bring them in loud and clear, without depleting your net worth. Chrome-plated brass ferrule with standard 1in-14 thread Includes 15ft RG-62 cable and Motorola connector Suggested mount: Style 4187 or 5187 Ratchet Mount (each sold separately) Smooth, durable, high gloss finish One section",0 +"Savoy House 8-4030-2-322 Octave 2-Light Bathroom Vanity Light in a Warm Brass Finish with Clear Glass (14"" W x 9"" H)","APPLICATIONS: Perfect for use in bathrooms and over vanities. Adds charm to any interior VERSATILE: LED/CFL/Incandescent compatible, holds two 60 Watt E26 Base Bulbs (Not Included) INSTALL YOUR WAY: This versatile fixture can be installed either with bulbs pointing UP or DOWN ASSEMBLED DIMENSIONS: 9"" Height, 14"" Width Safety rating: UL, CUL and",0 +Media Center,"The Homestead Collection media center features a large concealed storage area behind two flat panel doors, a fixed 40"" x 14"" shelf and genuine lodge pole pine corner trim and door pulls. Hand crafted in Montana. Trim pieces are square sawn for a unique, timber frame/barn wood appearance. This item is professionally finished with premium grade stain and clear lacquer. Comes fully assembled. 20-Year limited manufacturer warranty. Handcrafted Made from dead-standing lodgepole pine Made in the US Heirloom Quality",0 +RoomMates RMK11979WP Blue and Navy Crackled Stria Texture Peel and Stick Wallpaper,"Add natural dimension to the walls of any room in your home with our Crackled Stria Texture peel and stick wallpaper. Offered in beautiful tones of blue, this wallpaper will match many different decor styles. To apply, simply remove backing, smooth onto clean and flat walls and cut to fit! 1 roll - 20.5 inches wide X 16.5 feet Peel and stick to apply – no water, no paste, no mess 100% removable peel and stick wallpaper No sticky residue left behind upon removal Perfect for renters and homeowners",0 +"Pack of 2 ICY Crystal Decorative Christmas Standing Deer Figures 18""","From the Icy Crystal Animal Kingdom Collection Features a long and tall standing deer with the elegance of ice sculptures Dimensions: 18""H. Material(s): acrylic Pack includes 2 of the item shown Lodge-Style Modern-Design-Style Decorative",0 +Lord of the Rings Return of the King Glass Goblets Arwen the Elf,"LORD OF THE RINGS, GLASS GOBLETS COLLECTION. ""ARWEN THE ELF"" GOBLET GLASS. IT IS 6 1/2"" TALL, BY 2 3/4"" AT THE BASE. THE LID TAKES 2 AG13 (1.5V) BATTERIES. THEY ARE INCLUDED. THE LIGHT HAS A ON/OFF SWITCH, IT LIGHTS RED. IT HAS NEVER BEEN USED.COPYRIGHT 2001",0 +"Basicwise 9 Cube Wooden Organizer with 5 Enclosed Doors and 4 Shelves, White","Size: 35"" W x 11. 5"" D x 36"" L 9 cube shelves provides ample storage space Magnetic closure keeps door securely shut Durable wood composition for continual use Basic design fits into any style room decor",0 +Werner 300 LB Fiberglass Extension Ladder Label Kits (Pack of 6),Step ladder caution warning labels and correct ladder procedure with weight limit. Werner Ladder Safety Labels for all Type 1A 300 load capacity Extension Ladders. Contains all labels that come on a new ladder. Labels in both English and Spanish. (Pack of 6) Any size Werner 300 load capacity Fiberglass Extension Ladders.,0 +Westcott Scrim Jim Cine Kit (8' x 8') Heavy Duty Frame with 3/4 Stop Diffusion and Silver/White Bounce Reflector - Includes Carry Case,Comprehensive 8'x8' Scrim Jim Cine light control kit for Filmmakers and Video Production Portable modular framework allows quick build and breakdown times. Less hassle than other Scrim systems Soften or Bounce Options provide versatility within a single kit. Can be used with both natural and artificial lighting scenarios Ideal for the Traveling Filmmaker Includes USA Backed Warranty and Lifetime Customer Support,0 +Sony VHS T-120VL/WA Standard Grade VHS Tape - 5 pack,SONY T-120 5 PACK SONY T-120 6 Hours Standard Grade 5 PACK New,0 +"Acme Furniture Noralie Coffee Table, Mirrored & Faux Diamonds","Want to make a bold statement, then these Noralie Coffee table is the perfect solution. With a one of a kind cross base and dazzling diamond borders, this piece is sure to stand out. Featuring a sturdy 4mm table top that can be used for display or function. The gleaming complement will reflect the perfect amount of light into any dark space. Let this innovative furniture add new style to your home. Square Table Top Mirrored Top Faux Diamonds Inlay Cross Mirrored Base",0 +"Emachines E443-BZ602 Laptop LCD Screen Replacement 15.6"" WXGA HD LED",This is a compatible replacement screen for the model listed in the title.,0 +Warm White Cluster 768 Strand Sting Lights,LED Twinkle Cluster 8 Function Memory Controller - Black Cable IP44 Rated 13.2' Lead 33' Total Length Non-Replaceable Bulbs UL Approved LED Twinkle Cluster 8 Function Memory Controller 33' Total Length,0 +"1250mAh Battery for Barnes & Noble 005, Nook, BNRZ100, BNRV100, Nook Classic","Compatible: 4894128036135,BNRB1530, BNRZ1000, 9BS11GTFF10B3, 9875521, BNRB454261 Devices: Barnes & Noble 005, NOOK, BNRZ100, BNRV100, NOOK Classic- Certification: CE, FCC, RoHS",0 +Pac Intelligent 4 CAM SWTCHR,The VS41 Intelligent 4-Camera Switcher from PAC Audio features 4 camera inputs and 1 video output for connecting to a factory or aftermarket radio with a video display. The inputs are triggered by driver behavior. The rear backup inputs are automatically activatedwhen the vehicle is shifted into reverse while side inputs are activated by prompted by the turn signals. PAC VS41 Intelligent 4-Camera Switcher,0 +"Major-Q 6288t 28"" H Brushed Steel Base Crystal Ball Table Lamp with LED Light Bulb","Featuring a round chrome base with a brushed nickel finish, beautiful bubble-like crystal accents work their way up while decreasing in size until they reach the gorgeous drum-shaped linen shade. Make this table lamp the next lighting addition for your home.",0 +"3dRose I Can Help You Find Your Marbles Travel Mug, 14 oz, White","14oz capacity Made of stainless steel Easy-grip handle with thumb rest Slide opening lid with slanted drinking surface Not microwave safe, hand washing is recommended",0 +TEMCo Lug Crimper Tool TH0012-8 AWG - 0000 AWG(4/0) DIELESS Indent Electrical Battery Terminal Cable Wire 5 YEAR WARRANTY,"Black oxide crimp ram won't chip or flake. Dieless design adjusts quickly to the full range of terminal sizes 8 gauge though 0000 gauge (4/0). Perfect for Battery & Welder cables, Building Wiring, and more. Use with all crimp terminal lugs, including heavy cast lugs. 5 Year Warranty from an American name. NON-GENERIC",0 +"Caroline's Treasures Cheetahs by Daphne Baxter Leash or Key Holder BDBA0113TH68, Triple",The tile is Made from a hardboard and is mounted to a metal rectangle The hooks hang down from the metal plate in the back and is about 2.5 in. From the base Made in the USA A hanger is attached to the metal plate and is about 1.5 in. Long Lots of room to hang up using a Screw or paneling nail,0 +Metallurgica Motta Barista Kit,"Every thing you need to make perfect morning coffee drinks at home. Kit includes: (01) Motta Europa Milk Pitcher, 25.3-floz, (01) Motta Thermometer, (01) Motta Cocoa Duster, (01) 58mm Motta Aluminum Coffee Tamper Tried and backed up by the Barista Association of Italy Kit comes on a beautiful gift box Made in Italy",0 +"Samsung SM-G930UZDAXAA S7 Gold Galaxy Smartphone Unlocked-32Gb, Water-resistant up to 5 Feet, US Warranty",nicks and scratches from daily use will ship it right away with tracking number.,0 +HoneyWell 1 Heat Electric Thermostat 40 to 80 deg F 120/208/240/277 Volt AC,Discount price available now so order the Honeywell T410B1004 Electric Heat Thermostat via our online store affordable Honeywell products.. Economical. Replace virtually any twowire T410A or fourwire T410B line voltage wallmounted electric heating thermostat. Easy to install; 6 in. 150 mm colorcoded leads. Include longlasting Micro Switch mechanism. Rugged plastic mounting base and onepiece cover with vents.,0 +White Rodgers Upgraded Furnace Control Circuit Board Replaces Trane D341396P03,This is a Brand New White Rodgers Furnace Control Board This is a Brand New White Rodgers Furnace Control Board Top Quality Replacement Board Designed to Fit Trane and American Standard Furnaces,0 +"KOECKRITZ 6'x30' Black - Economy Turf/Artificial Grass Runners | 2', 3', 4' & 6' Widths x Lengths up to 100' |Light Weight Outdoor - Easy Maintenance - Just Hose Off & Dry! - 8 Colors to Choose from",,0 +Disco Queens the 70s,"Thibul Nettle aka Stinga T and Michael Collard aka Big Sexy are an Adelaide/Perth based rap duo called TDB (Tha Deadly Boyz). The boys are cousins and have been performing together since 1999 beginning the duo while still in high school. Performing together for over 8 years now, TBD have massively increased their profile via notable performances along with securing airplay across the country while their videos have featured on Channel V. 110-volts, 12-amps, 1300-watts Indicator Light Adjustable Thermostat Stainless Steel Frame Non-stick Surface",0 +"American Standard 0263.112.020 New Solar Soaking Bathtub with Right Hand Outlet, White, 5-Feet - 0263112.020","For those enamored with the look of enamel. The new solar bathtub is made from heavy gauge, enameled steel for attractiveness and durability. Features include a slip-resistant surface and an integral apron for a cleaner look. Above-floor rough alcove installation. Acid resisting, enameled steel construction One-piece bath End drain outlet Full slip-resistant pattern Fully-bonded support pad",0 +"HVAC Motor, 1/40-1/50-1/80 HP, 115V, CCW/LE","The Fasco D128 is a 3.3"" diameter fan and blower motor rated for 1/40-1/50-1/80 HP and 1500 RPM at 115 Volts General Purpose Fan Motors HP: 1/40 RPM: 1500 Volts: 115",0 +JBL Basspro SL2 - Powered under seat subwoofer system (Renewed),"125W RMS compact powered subwoofer system with Bass Boost of 0dB to +9dB @ 70Hz Dimensions (L x W x H): 13-9/16"" x 9-7/8"" x 2-13/16"" (344mm x 250mm x 71mm) Frequency Response 35Hz – 120Hz 8"" Powered Subwoofer Car audio Subwoofer",0 +"Iron Valley - 1-1/8"" Dome Cabinet Knob - Pack of (10) - Solid Cast Iron","Metal & Style: Traditional & Rustic Solid Cast Iron Finish: Rust Resistant Rich Black Powder Coat Dimensions: 7/8"" Projection - 1-1/8"" Wide Mounting Hardware: Includes 1"" Mounting Screws - 8/32"" Threading Package of (10) Knobs",0 +Stray Kids - Clé 1 : MIROH [Standard-Clé 1 ver.] 1CD+Photobook+3QR Photocard+Pre-Order Benefit+Folded Poster+Double Side Extra Photocards Set,,0 +KitchenAid Replacement Refrigerator / Freezer Ice Maker 4317943,This is a Brand New Replacement Refrigerator Ice Maker This is a Brand New Replacement Refrigerator Ice Maker Univeral Design and Easy Installation Make this a Top Qualty Replacement Part!,0 +"Steelex M1061 4 Jaw Chuck, 6-Inch",From the Manufacturer Each jaw moves independently. Such 4-Jaw Chucks are used for holding odd shaped pieces or where zero tolerance is required. This 6-Inch 4-jaw chuck with a 1-1/2-Inch bore has semi-steel bodies and hardened reversible jaws. 6-Inch 4-Jaw Independent 1-1/2-Inch Bore Plain back Reversible jaws,0 +Disney Peter Pan and Tinker Bell Legacy Sketchbook Ornament - Limited Release,"Genuine, Original, Authentic Disney Store Limited Release Sculptured scenic ornament Includes Peter Pan and Tinker Bell Windowsill frames translucent London background scene",0 +"C9 Led Multicolor Christmas Lights Outdoor String 66Ft 100 LED with Quick Clips Waterproof Strawberry Roof Lights, Commercial Grade Extendable for Indoor Outside Roofline Patio Home Xmas Decoration",,0 +Houston International 6515 S/2 2-Piece Galvanized Container Set,"2-Piece Galvanized Container SetSize 1: 8"" D x 9.5"" HSize 2:9.25"" D x 9.510.25 Laundry container storage container Compost container",0 +Department 56 Village Snow Laden Sisals (Set of 3),"On holidays, special days, or every day, collectors enjoy decorating with pieces from Department 56 mini villages. Fits well in any mini village display. Sisal collectible On holidays, special days, or every day, collectors enjoy decorating with pieces from Department 56 mini villages Fits well in any mini village display Made of sisal",0 +"Dekoni Audio Ear Pads Compatible with Sony WH-1000Xm3 Noise Cancelling Headphones, Black (Choice Suede)","Compatible with the Sony WH1000Xm3 noise cancelling headphones Dekoni Choice Suede is a synthetic soft and supple for a sheen look and gentle feeling on the ears Plastic mounting ring built in for easy installation Outer ring: 101mm high, 71mm wide, 20mm deep Inner ring: 68mm high, 36mm wide",0 +"XSPC TX480 Ultra Thin Radiator, 120mm x 4, Quad Fan, Black",High quality material made by XSPC The product will meet the expectations of gamers and also of computer enthusiasts who are looking for a quality product with the XSPC TX480 Ultrathin Radiator 480 mm Black Ultra Thin PC Radiator at just 20.5mm thickness 16mm Copper and Brass Core with Matte Black Paint Finish 22 FPI (fins per inch) Weight: ~792g Dimensions: 125 x 20.5 x 518mm (WxDxH) +-0.5mm,0 +"SCREENARAMA New Screen Replacement for ASUS Vivobook X420U, FHD 1920x1080, IPS, Matte, LCD LED Display with Tools","MUST match resolution and connector: FHD 1920x1080 30pins Non-touch (will not work if different resolution and type) Screen size: 14.0"", Matte, IPS (Wide View), Narrow bezel Tested screen, Guaranteed compatibility Warranty: 2 years Comes with complimentary set of tools and adhesive tape for installation",0 +Shaka Intekanational LLC / DLI Flush Mount Baby Breakout Board for Atomic Pi - 2.5mm Barrel Jack 5V Input,This board snaps in to the bottom of the Atomic Pi so you can use a 2.5mm barrel connector to power the Atomic Pi. A power supply capable of 5V 4A is recommended. Power supplies and the Atomic Pi itself are sold separately.,0 +"Samuel""Sam"" Adams Boston Lager Sensory Pint Beer Glass 22oz Set of 4","Set of 4 XL 22 Ounce Samuel Adams Sensory Glasses. Laser etched nucleation in base, looks like a hatch mark ring and aids in propagation of beer bubbles or head. Pub Edition, White Shield logo. May have imperfections from Factory, as these are licensed for Pub/Restuarant/Bar Use.",0 +Monoprice Essential Triple Monitor Articulating Arm Desk Mount (116247),"ESSENTIAL TRIPLE MONITOR ARTICULATING ARM DESK MOUNT VESA compatible: 75 x 75 to 100 x 100 Mount a three 10"" 30"" displays 22lbs max weight Mount can be swiveled 180 degrees, tilted 90 degree upward or downward, and rotated 360 degrees Quick release Lever on the back of the mount allows you to raise or lower the display at will",0 +"Acmee Non-Blinking LED Balloon Light, LED Party Lights,LED Paper Lantern Light, LED Mini Light for Party or Wedding Decoration (Green, Pack of 12)","Suitable for paper lanterns, florals,balloons, water proof Turn LED on and off by twisting the base With a hook a bottom, you can thread and hang them easily Batteries: 3 x 1.5V LR41 in each led, 8 hours+ (yes, batteries are included) Waterproof, bright lights",0 +Franklin Electric FPS 1/2 hp 20 gpm Effluent Septic Pump,"Stainless steel or thermoplastic discharge and motor bracket are tough and non-corrosive. Both materials are highly resistant to damage by minerals, metals, and other substances typically found in water 1/2 hp 20 gpm Effluent Septic Pump",0 +dreamGEAR Wired Headset for Xbox 360 (Ghost Camo),"Enhance your gaming experience with the Dream GEAR wired headset for Xbox 360. The wired headset is the perfect way to play your favorite Xbox 360 games. Get immersed in the game with crisp and clear audio. Microphone with boom delivers great communication. The wired headset has built in volume/mute controls. Wired headset for Xbox 360 plugs directly into your controller Works on left or right ear Volume/Mute controls Microphone with flexible boom Lightweight for the ""barely there"" feel",0 +Bose Wave AM/FM Clock Radio - Model AWR1G1 - Graphite,"Color:Graphite Gray | Style:Wave Music System Great AM/FM reception no questions asked returns AUX input and output connectors Great sound , Deep Bass and Clear highs",0 +Personalized Fathers Day Mug Dad of 4 Add Children's Names Custom Mug 11oz Ceramic Coffee Mug Blue,"Let your dad know how much you appreciate him with a sentimental ceramic coffee mug that make excellent dad gifts from daughter, Father's Day gifts for dad, a dad birthday gift, and much more. Size: This 11 ounce white ceramic coffee mug also makes a great tea cup with its large, easy to grip C-handle This custom gift is made to your exact specifications. Design: The premium full color sublimation imprint creates a vibrant, long lasting, and lead-free design Care: Microwave and dishwasher safe for your convenience",0 +"SCREENARAMA New Screen Replacement for NV140FHM-N41 V8.0, FHD 1920x1080, IPS, Matte, LCD LED Display with Tools","Tested screen, Guaranteed compatibility Warranty: 2 years Resolution: FHD 1920x1080 (Must be the same as your screen) Connector: 30 pin (Must be the same as your screen) Screen size: 14.0"", Matte, IPS (Wide View)",0 +"GEARWRENCH 10 Pc. 3/8"" & 1/2"" Drive Hex Bit Socket Set, SAE - 80579","Product Description 10PC 3/8""& 1/2""DR SAE HEX BIT, Made in: Taiwan, Dimensions: 1 X 4.3 X 12.2. Weight: 1.805 From the Manufacturer GearWrench Bit Sockets. Patented bit holding principle: Internal dimple feature, forces bit surface to the opposite side for maximum retention Heat treated socket bases for durability and serviceability Chrome Sockets Large hard stamped identifications Slide socket rail",0 +"Whirlpool 2186443 Filter Housing for Refrigerator, 1 Count (Pack of 1)","Works with the following models: Whirlpool 3KES0FHGNS00, Whirlpool 3XART745GW00 Whirlpool 3XART745GW01, Whirlpool 3XART745GW02 Whirlpool 3XED5SHGKS00 Whirlpool 3XED5SHGKS01 Genuine Whirlpool Replacement Part",0 +"Cute Seat Cushion, Cat Paw Shape Lazy Sofa Office Seat Cushion, Bear's Paw Office Chair Cushion, Plush Sofa Cushion Soft and Comfortable Cushion Home Bedroom Shop Restaurant Decoration",,0 +Danson Pelpro 2RPM Synchronous Auger Feed Motor SRV7000-670 OEM,"Fits Models: ~ PHC90 Cast ~ PP60 ~ PP60-RF ~ PP70 ~ PP130 ~ PP130-B ~ PP130-RF ~ PPC90 ~ TSC90 Fits Models: ~ PHC90 Cast ~ PP60 ~ PP60-RF ~ PP70 ~ PP130 ~ PP130-B ~ PP130-RF ~ PPC90 ~ TSC90 120v AC, 60hz, Class B 64TYZ Synchronous Motor Hole in Shaft to Spec Specialty Wire Connection Configuration",0 +"The Great American Hanger Company Wood Top Hanger, Box of 100 Space Saving 17 Inch Flat Wooden Hangers w/Espresso Finish & Brushed Chrome Swivel Hook & Notches for Shirt Jacket or Dress",Streamlined Flat Design Saves Space and Keeps Your Closet Organized 360 Degree Swivel Hook Makes Hanging Your Clothes Easy On Any Bar Made from Strong and Sturdy Hardwood Heavy duty brushed chrome hardware Precision Routed Notches to Hold Your Garments with Straps,0 +"Rae Dunn SALT & PEPPER Cellar Set - 3.5"" tall - 2.5"" - ceramic - very rare!","Rae’s inspiration comes from the earth, and she finds beauty in simple shapes, natural forms and found objects. Her utilitarian approach to designing ceramics is strongly based on the Japanese aesthetic of wabi sabi; the beauty of things imperfect, impermanent, and incomplete.",0 +Miller Honeywell Safety Products by 8928-Z7/18INBK Ansi Z7 D-Ring Extension with Snap,Made in Mexico Package height :4.826 cm Package length :8.128 cm Package width :20.828 cm,0 +"Floating TV Stand for TVs Up to 85 inch, 70 inch Wall Mounted Haning TV Stand with LED Lights, High Glossy Floating Entertainment Centre Hanging Media Console Shelf, Modern Under TV Floating TV Shelf",,0 +Extra Heavy Duty Swiss Army Military Wool Blanket Cover,"Hand Sewn White Crosses on each end 60"" x 84"" Extra Heavy Weight - Almost 6 lbs!!! Chestnut Brown - Shades of Brown my vary slightly 70% Wool Blend - Dry Clean Only",0 +Supermicro AOC-LPZCR2 All In One Zero Channel Raid Card 600MHZ,"Processor: Intel 80321 600MHz I/O Processor RAID Levels: 0, 1, 5, 10 and JBOD; 50 (SAS and SATA modes) Cache Memory: 256MB onboard ECC DDR Memory Bus Type: 64-bit/100MHz PCI-X Adaptec SAS Host Controller (AIC-9410)",0 +Westinghouse 1B1K2684 Main Board for VR-4090 Version 2,1B1K2684 Westinghouse Main Board For Westinghouse VR-4090 Version 2. This item is refurbished and guaranteed working. Item is offered with a NON DOA WARRANTY. For Westinghouse VR-4090 Version 2 P/N: 1B1K2684 TV Part (T.RSC8.10A 11153),0 +"Swiss Madison SM-SB510E Voltaire Shower Base, 48"" x 36"", Grey",Low single threshold for easy access Acrylic and fiberglass technology reinforcement Slip-resistant surface Integral 3-sided flange helps prevent water leakage Center-Hand Drain,0 +HID ThinLine II 5395CK100 Low Profile Prox Card Reader,THINLINEII BLK RDR WIEG OUT Prox Card Reader Wiegand (500 ft cable) interface Dimensions: 4.70 x 3.00 x 0.68 Inch Lifetime warranty,0 +TurboTorch 0386-0575 STK-31 Torch Swirl,"A longtime industry benchmark, the Turbo Torch line of STK torches and tips now features the new Extreme Swirl technology. This torch kit has 360 degree swivel tips and easy to clean orifice screws. The torch is safe to use with air, MAPP and propane processes. It is safe to use through high capacity applications and HVAC. STK-R Pressure Regulator w/CGA-600 Connection ST-3 Extreme Tip ST-1 Tip Size Processes: Air/MAPP and Propane Industrial Applications: High Capacity applications and HVAC",0 +Posh Pollen Silver Anna End & Side Table,"Base is constructed with metal, completed with a rhombus design Frame material is made of mango wood Detailed with antiqued silver foil Package Weight: 20.9 pounds",0 +"Depnee Small 130ml Cool Mist Humidifier, USB Mini Ultrasonic Aroma Diffuser with Waterless Auto Shut-Off, 7 Color LED Lights for Home Office Car Travel (White Wood Grain)",,0 +BRTTX3551 - Brother TX Tape Cartridge for PT-8000,"Ideal for high-production label making, with fewer re-supply situations. Perfect for indoor and outdoor use on smooth, flat surfaces. Sold as 1 Each. Ideal for high-production label making, with fewer re-supply situations. Perfect for indoor and outdoor use on smooth, flat surfaces. Tape measurements are approximate. Brother label machine tape for P-Touch PC and PT-8000 models.",0 +Whirlpool WP2156022 Trivet RC Shelf Large,"This is a genuine replacement part. The model number and name for the following item is: Whirlpool 2156022 Trivet RC Shelf, Large This is an O.E.M authorized part Fits various whirlpool models O.E.M part number 2156022 This is a Whirlpool replacement part Part Number 2156022",0 +"AKRacing Footstool with PU Leather, Height Adjustable with Wheels, Ottoman Foot Rest for Office and Gaming Chairs - PC; Mac; Linux, Black, (AK-Stool-BK)",Do you want to lay back and Just relax in your chair from time to time? Then the footstool from AKRacing is just the product you need. Durable PU leather upholstery and high-density cold-curved foam padding for maximum comfort Sleek design is compatible with all Office and Gaming chairs Adjustable height so you can get it just the way you want 360 Degree swivel Lockable wheels so the footstool stays in place,0 +Mr. Beer Premium Edition Beer Kit,"The best starting point for a beginning brewer, this Brew Kit comes with everything needed to brew and bottle your first batch of top-quality beer. Reuse this kit again and again with Refill Brew Packs so you're sure to find the right brew for you. 1 fermenter with lid & tap assembly 1 Standard BoosterTM Refill 8 Reusable Plastic 1-Liter Bottles w/ Caps 8 Labels with MR.BEER Logo 1 Brewing with MR.BEER -- Brewer's Guide(dvd)",0 +"Craig Frames Sonora, Aged Copper and Black Picture Frame, 10 by 11-Inch","Contemporary style; distressed copper and black with smooth wrap finish Frame includes: glass, rigid black backing and pre-attached stamped hanging hardware Frame holds a 10 inch by 11 inch photo/print/poster (viewable area reduced by .25"" on each side, due to frame lip) Frame moulding is 3.015 inches wide; MDF wood composite ; wrap finish Frame is designed for WALL HANGING only (hanging hardware allows for portrait or landscape orientation)",0 +"Jackpot Candles Caramel Coffee Latte Candle with Ring Inside (Surprise Jewelry Valued at $15 to $5,000) Ring Size 9","100 percent premium natural soy candle with organic cotton double wicks Made in the USA 15 ounce jar; 12 ounce candle with double wick for a cleaner burn Jewelry item hidden in each candle valued between 15 and 5,000 dollars",0 +"SODIKA Kitchen Mats Set Anti Fatigue Cushioned Kitchen Rugs and Mats Non Slip Comfort Standing Kitchen Floor Runner Rug Beautiful Beach Seascape Starfish and Conch (18""x30""+18""x59"")",,0 +"HolySpring Ice Maker Machine Countertop, Portable Ice Makers with Ice Bags and Standing Ice Scoop Basket, Countertop Ice Maker 2.1L w/Self Cleaning, 9 Bullet Cubes Ready in 5-7Mins, 26.5lbs in 24 hrs",,0 +"Creative Co-Op Decorative Bamboo Blanket Ladder, 60.25"", Natural","Add this functional yet decorative ladder to any living space for a rustic feel. The 60 inch tall white wood ladder is great for hanging blankets and throws or simply display by itself for a decorative touch. Place in a bedroom or living room for a statement piece. In the bathroom, this ladder can be used as a unique towel rack. Bamboo Hang blankets for a decorative touch In the bathroom, hang towels on this bamboo ladder Place against any wall for added dimension to the room décor 16""L x 1. 25""W x 60. 25""H",0 +Hypertherm 420144 HyAccess Cutting Nozzle,"Access extended Cutting Nozzle for Powermax30, Powermax30 XP and Powermax45 plasma systems. ""Cut with Confidence."". Unique patented design for cutting in hard to reach or confined places Access provides improved visibility and accessibility for challenging cutting applications Operates at 15 - 45 A",0 +Liberty Tabletop Celtic 65pc Flatware Set Service for 12 Silverware Made in USA,Finest Quality 18/10 Stainless Steel 100% Made in USA Forged Knife with Serrated Blade 25 Year Manufacturers Warranty Stunning Mirror Finish,0 +GM Genuine Parts 96673600 Rear Side Door Lower Radio Speaker,"Restore the sound quality of your audio system GM-recommended replacement part for your GM vehicle’s original factory speaker Offering the quality, reliability, and durability of GM OE Manufactured to GM OE specification for fit, form, and function",0 +CS OSBORNE 773-HRP HOG RING PLIER,Hardened and tempered. Forged steel. Vinyl handles. Works with our new 773-K millimeter hog rings. Ideal for closing around a smaller area. Can be used on bungee cord. CS OSBORNE 773-HRP HOG RING PLIER,0 +"Mundial Y5627-10E 10-Inch Slicing Serrated Edge Utility Knife, Yellow","Mundial 5600 series slicing knife, 10 in. High carbon stainless steel serrated blade, used for slicing meats. The yellow polypropylene handle is ergonomically designed to provide a secure non-slip grip. Lifetime limited warranty.",0 +"Star Projector, Galaxy Projector, Night Light Projector with Bluetooth Music Speaker & Remote Control, Ocean Wave Star Light Projector for Baby Bedroom, Home Theatre, Party, Birthday Gifts",,0 +"24x36 Black & White Double Picture Mats with White Core, for 20x30 Pictures","These are high quality 4 ply picture mats cut for the picture size referenced in the title. All openings are reduced by 1/2"" to overlap the picture. All of our matting is bevel cut and has a white core. All openings are reduced by 1/2"" to overlap the picture size referenced in the listing. All of our matting is bevel cut and has a white core. This listing is for picture matting only Made from 4 ply high quality matboard",0 +Forest Hill Scraper King Flooring Scraper witn Hardened and Tempered Spring Steel 5 x 7-inch Blade and Lightweight Long Firerglass Handle,"Long Lightweight Fiberglass Handle with a smooth veil finish, overall length is 58-inches. Blade size: 5-inch High x 7-inches Wide, Weight 3 pounds. Hardened and Tempered Spring Steel Scraper with the unique Forest Hill Rib design for rigidity. Extra Hard & Springy material for a superior scraping job. Multi-purpose use from floor debris and laminate to Ice and Snow. Heavy-duty Commercial Grade Construction, Made in the USA",0 +Armytek Wizard C2 Pro Max XHP70.2 Warm Light LED Headlamp 3720 Lumens,"✅ BRIGHTNESS New generation electronics provides impressive light output of 3720 lumens ✅ WIDE FLOOD LIGHT of the flashlight is optimal both for operating at a close distance and for highlighting large spaces. ✅ WIDE BEAM 110°:150° flood light is convenient for service and industrial works, as well as for active leisure and day-to-day tasks. ✅ FAST MAGNETIC USB CHARGER Charges the flashlight in just 5 hours 20 minutes.",0 +"The Endless Summer 15x18 Framed Art Print by Van Hamersveld, John","The Endless Summer 15x18 Framed Art Print by Van Hamersveld, John High quality framed art print Two inch wide black wood frame In stock and ready to frame and ship Custom packed for safe delivery Satisfaction Guaranteed",0 +760G/SB710 AM3 MAX-8GB DDR2 Uatx PCIE16 Pcie 2PCI Gbe,Motherboard - M4A78L-M - Vivid Onboard DX10 Graphics and Real-time Overclocking Performance Item Package Dimension: 10.899999988882L x 10.399999989392W x 2.099999997858H inches Item Package Weight - 2.3 Pounds Item Package Quantity - 1 Product Type - MOTHERBOARD,0 +"HP Laptop 14 inch HD Screen, Intel Celeron N4020 Processor, 4GB DDR4 Memory, 64GB eMMC, Webcam Bluetooth,1-Year Microsoft 365, Online Class/Online Meeting, Windows 10 Home S, iMei 64GB Micro SD Card","Experience the most secure Windows ever built with fast boot times, increased responsiveness, and added protection against phishing and malware. Intel Celeron N4020 1.1GHz 4GB 64GB SSD Intel UHD Graphics 600 1366 x 768 (HD) HP True Vision HD Camera Dual array microphones",0 +"BIA CORDON BLUE Bottle Vinegar White, 1 EA",Grace your kitchen with the simple elegance of this Vinegar Bottle. Dimensions: Measures 2.25' wide by 2.25' long by 11' tall/deep Material: 100% Porcelain Additional Features: Microwave-Safe Made of durable porcelain with a chip-resistant glaze for years of service Features leak-proof stopper and spout caps to keep vinegar fresh,0 +"Fotodiox Chromakey Green and Blue Jacket Cover, fits 40x60 5-in-1 Oval Reflector Pro Collapsible Disc Kit Collapsible","This cover can be used with 40x60"" 5-in-1 collapsible reflector, to provide additional application as chromakey backgrounds. Provides additional application as chromakey backgrounds. Good for studio use Bright",0 +Picard Hammer - Blacksmiths' Hammer (0000811-1500),"Crafted with the user in mind using high quality materials and world class craftsmanship, quality assured and made to withstand even the toughest jobs. Designed with the user in mind and fit to match the needs in the shop, at home or in the field - Proven and Tested for durabilty and function in real world conditions. Hardened face and cross peen Hickory handle Item Package Dimension: 8.0"" L x 8.0"" W x 20.0"" H Item Package Weight: 26.0 lb Made In Germany",0 +"NATIONAL MFG/SPECTRUM BRANDS HHI N351-015 Spring Hinge, 4-Inch, Oil Bronze","V522, 4"", oil rubbed bronze e spring adjustable door hinge, manufactured with cold rolled steel, closing speed is adjustable, fits standard hinge cutout, tension is adjustable, 5/8 "" radius round corners, hinge is UL approved for fire doors, visual pac. The product is 4 inch Oil Bronze spring hinge Closing speed is adjustable The product is manufactured in china Model number: N351-015",0 +"Fully Adjustable - TV Wall Mount Bracket for Panasonic TC-L37X1 37"" Inch LCD HDTV Television","High quality Adjustable Tilt & Swivel Tv Wall Mount Bracket. Sturdy steel, dual arm for LCD LED and Plasma TV's Full Motion TV Wall Mount Bracket Compatible with Panasonic TC-L37X1 LED / LCD / PLASMA TV Brand new in box Installation hardware included in box",0 +"M&G DuraVent 7"" DuraBlack Damper Section - 7DBK-DS","Install at, or close to, the stove outlet in-line. 5"" pipe section with the damper pre-installed. This product is manufactured by M&G DuraVent. This product is manufactured in United States. 7"" Size Highly Efficient Easy in-and-out fit Country of origin: United States",0 +Intel AFBR-703SDZ-IN2 INTEL SFP SR SFP,INTEL SFP+ SR SFP DISC PROD RPLCMNT PRT SEE NOTES AFBR-703SDZ-IN2 INTEL,0 +Sky High Car Audio 1/0 Cable Cutter,Make every install easier with the 1/0 Cable Cutters/Strippers from Sky High Car Audio Cuts any wire 1/0 and under OFC or CCA Strips down to 16 Gauge wire A handy tool to have laying around!,0 +"Chi Mei N140bge-l43 Rev.c1 Replacement Laptop LCD Screen 14.0"" WXGA HD LED DIODE (Substitute Only. Not a)",,0 +"Braun KF420-BLK Aromaster 10-Cup Coffeemaker, Black","Water-dispersal system provides fast, uniform saturation of coffee, full flavor Plastic carafe's lid seals to minimize evaporation Pour a cup midbrew with convenient brew-pause feature Swing-out filter basket; flip-top water-tank lid Measures 12 by 6 by 11 inches",0 +Noritake Rochelle Gold 5-Piece Place Setting,"Since 1904, Noritake has been bringing beauty and quality to dinner tables around the world. Superior artistry and craftsmanship, attention to detail and uncompromising commitment to quality have made Noritake an international trademark during this past century. Noritake Dinnerware will set your table with the standard of perfection. Noritake Rochelle Gold 5-Piece Place Setting Bone China World Famous Noritake Quality, Value and Design. Elegant Dining Dishwasher Safe",0 +NASSAU ELECTRICAL SUPPLY 50' Nassau 1/0-1/0-1/0-2 SER Aluminum Service Entrance Cable 600V,Wire Size : 1/0-1/0-1/0 AWG Bare Conductor Size AWG: 2 Conductor Material : Aluminum Cable Type : Service Entrance Cable Voltage : 600V,0 +iPhone 12/12 Pro Southwestern Aztec Design Case,"Unique Aztec Southwestern Design. Another Original Design by TheGraphicRabbit that is Distressed with a Vintage Style, this Popular item makes a Perfect Gift for a Birthday or Just for something Unique! Awesome Design with Southwest Flair. South Western Art Lovers. Another Original Design by TheGraphicRabbit that is Distressed with a Vintage Style, this Popular item makes a Perfect Gift for a Birthday or Just for something Unique! Two-part protective case made from a premium scratch-resistant polycarbonate shell and shock absorbent TPU liner protects against drops Printed in the USA Easy installation",0 +Plush Big Backrest Reading Rest Pillow Bed Adult Backrest Lounge Cushion Back Support for Sitting Up in Bed (Blue),"Special Feature Durable,Premium Fill Material Cotton Shape L-shape Plush",0 +Intel Core 2 Duo Mobile Processor T9400 Frequency 2.53ghz 1066mhz Cache 6MB CPU Micro-FCPGA,Core 2 Duo Mobile Processor T9400 Frequency 2.53ghz 1066mhz Cache 6MB CPU Micro-FCPGA ASIN: B005MFI6S6,0 +Blomus Magazine Collector,"The blomus chrome plated magazine collector provides organization for magazine storage. Keeps magazines orderly for reference or recycling. holds any magazine Material: steel chromed H 31 cm, W 34 cm, D 27 cm Easy to clean",0 +Frigidaire 316465800 Range/Stove/Oven Griddle Unit,"This is a genuine replacement Part, The model number and name for the following item: Frigidaire (FRIGB) 316465800 range/stove/oven - literature. Frigidaire (FRIGB) This is a genuine replacement part Cooktop-Accessories General Specs: Item Package Quantity: 1|Shipping Weight (lbs): 12.12|Collection: Frigidaire",0 +XL5100 Sony Projection TV Lamp Replacement. Lamp Assembly with Genuine Original Philips UHP Bulb Inside.,XL5100 Sony Projection TV Lamp Replacement lamp assembly with high quality original Philips UHP lamp inside.,0 +"Polylok 24"" x 6"" Septic Tank Riser","This model has been replaced with part number: 3008-NG as of 2021 Accepts Polylok 24"" Riser Safety Screens Made of high density polyethylene which won’t shatter Structural ribs inside prevent frost from adhering to the riser in frost prone areas Made in the USA",0 +"Meridian Furniture Isabelle Collection Modern | Contemporary Channel Tufted, Velvet Upholstered Chair with Custom Chrome Legs, Burgundy, 38.5"" W x 35.5"" D x 31"" H","Burgundy plush velvet Chrome legs Channel Tufted Modern | contemporary design Pillows included Overall dimensions: 38. 5"" W x 35. 5"" D x 31"" H",0 +GIA Cute Upholstered Light Pink Armless Plush Faux Fur Fuzzy Desk Chairs No Wheels - Removable Makeup Room Vanity Chair Slipcovers - Mid Century Shaggy Dog Accent Chairs - 1Pack,"Ergonomically designed to provide support for your back while functional and comfortable for you and your guests The contemporary look adds a designer touch to any living or working space Hassle free assembly in minutes with instructions and hardware kit Chairs are 32 inches high, 18 inches deep and 18 inches wide.",0 +Ridgid AC840085 (2 Pack) 18V 1.5AH Hyper Lithium-Ion Compact Battery # 130183010-2pk,Sold on Amazon,0 +ZyXEL C1100Z 802.11n VDSL2 Wireless Gateway CenturyLink,"Router in box is brand new and never used. Includes all network cables, phone cable, power cable, phone filters and instruction manual. Listed as used good because box has been opened. Power cord included Phone cord included",0 +Stow Green Classic Peter Rabbit Set of 6 Coasters,Peter Rabbit Classic Cork Backed Coasters Set Of 6 Peter Rabbit Classic Cork Backed Coasters Set Of 6,0 +"LENOVO ThinkPad T470p 14"" FHD Laptop, Intel Core i5-7300, 8GB DDR4 RAM, 256GB SSD, Windows 10 Pro 64Bit, CAM (Renewed)","Lenovo Thinkpad T470p Laptop Lenovo ThinkPad T470p Laptop, Intel Core i5-7300, 8GB RAM, 256GB SSD. Display: 14"" screen with 1920 x 1080 resolution. Operating System: Windows 10 64 Bit – Multi-language supports English/Spanish/French. efurbished: In excellent condition, 90-days Warranty",0 +Feit Electric LED Outdoor Fixture Oil Rubbed Bronze w/Frost Glass,"LED Outdoor Fixture Oil Rubbed Bronze w/Frost Glass Integrated LED Module No Bulbs Required Energy Saving LED - Improved Light Quality PATENT PENDING. Feit Electric, 12W, LED wall lantern, oil rubbed Bronze finish, Frosted glass lens, 550 lumens, 3000K color temperature LED improved light quality Adds Extra shine to your product Manufactured in China No Bulbs Needed Uses 1 Integrated LED Module Instant Full Brightness No Bulbs Needed Uses 1 Integrated LED Module Instant Full Brightness Energy Saving LED Improved Light Quality Patent Pending",0 +Replacement for Heil Single (1) One Pole 40 Amp Replacement Condenser Contactor 1050839,"This is a Brand New Condenser Contactor This is a Brand New Condenser Contactor Single Pole Rated for 40 Amps, making it a Heavy Duty Contactor! 24 Volt Coil",0 +"American Metalcraft 20-1/2"" x 12-1/2"" Full Size Black Rectangular Beverage Tub","This beverage tub is made of steel material. The hammered look offers a rustic yet refined appearance. It sports a sleek, textured surface and free-swinging decorative handles, sure to bring an upscale flair to any event. This tub must be hand washed. This tub can be filled with ice and drinks allowing guests to help themselves to a cold drink. Comes in full size and rectangular shape. Available in black color.",0 +Frigidaire 242176503 Dispenser Tray,This is a genuine replacement part. The 242176503 number and name for the Following item is: Frigidaire 242176503 dispenser tray This is an O.E.M. Authorized part Electrolux and Frigidaire are interchangeable Name for the same brand. Item received can be in any of the two names Model number: 242176503 Brand name: FRIGIDAIRE,0 +"1150MG Mechanical, Keyless Lever Lock","Digital Door Lock, 1150 Mechanical, Keyless, Heavy-Duty Lever, Deadlocking spring latch style lock in Marine Grade Mechanical, keyless push-button lock adjustable latch Easy programmable code Lifetime Warranty Changeable Handing",0 +"Samsung Galaxy Note 4, Frosted White 32GB (Sprint)",Samsung Galaxy Note 4 SM-N910P - 32GB - White (Sprint) Smartphone 100% functional item backed by Cellular Professor's 60-day warranty Network: Sprint Storage: 32GB Sim Size: Micro Color: White,0 +"ArtWall Mark Adlington 'Wolf' Unwrapped Flat Canvas Artwork, 18 by 22-Inch","Mark Adlington 'Wolf' unwrapped canvas is a high-quality canvas print capturing the quiet yet powerful wild gaze of a intriguing wolf . This enticing imagery makes for a commanding addition to any room. Artist: Mark Adlington Title: Wolf Style: Contemporary, Subject: Animals Dimensions: 14x18 image with 2 inch accent border 100% Made in the USA; Premium Printed Reproduction on Premium Professional grade Canvas",0 +"GE Lighting 31887 LED Reveal Globe Light Bulbs, G25, Frosted Pure White, 290 Lumens, 4.5-Watts, 2-Pk. - Quantity 1","GE Lighting 31887 LED Reveal Globe Light Bulbs, G25, Frosted Pure White, 290 Lumens, 4.5-Watts, 2-Pk. - Quantity 1",0 +Fiesta Party Supplies-12 Mini Sombreros and 12 Mini Maracas for Fiesta Bunco Party,Hand Wash Only 12 Small Maracas with Seeds that Rattle Mini Sombreros with String Bottle topper sized sombreros Addorable Decor for any Fiesta Party! Awsome Party Favors for your Guests,0 +"3D Rose Letter C Monogrammed Black and White Zebra Stripes Animal Print with Hot Pink Personalized Initial Towel, 15"" x 22"", Multicolor","Machine washable, do not bleach 15 x 22 inches Made of 63Percent polyester (Microfiber)/37Percent Cotton (velour terry cloth) Image printed on Microfiber side/terry cloth side blank",0 +"Rockville REC97 Dual 12"" Ported SUV Subwoofer Sub Box Enclosure - Behind 3rd Row","RockvilIe REC97 Dual 12"" Ported SUV Subwoofer Enclosure - Behind 3rd Row Fits Behind 3rd Row, Downfire. For Tahoe/Denali SUVs. Finished with Durable Bed Liner. 3/4"" MDF Air Space: 1.25 Cubic Feet (per sub). Mounting Depth: 9"" Product Dimensions (H x W x D): 13.5"" x 42.25"" x 16.25"" inches",0 +(Set of 12) Microwave Food Storage Tray Containers - 3 Section / Compartment (Set of 12),(Set of 12) Microwave Food Storage Tray Containers - 3 Section / Compartment (Set of 12),0 +"Eurofase 22558 9-Inch LED Picture Light, Oil Rubbed Bronze","Ultra slim, low profile picture light. 6 foot cord and plug with in-line switch. Included mounting clips can be secured to the wall or to the picture frame. Unique lamping configuration eliminates the need for a transformer. 6 foot cord and plug with in-line switch Included mounting clips can be secured to the wall or to the picture frame Unique lamping configuration eliminates the need for a transformer Package dimensions: 5.511811024"" L x 1.57480315"" W x 5.511811024"" H",0 +P Premium Power Products V13H010L33-ER Compatible Projector Lamp,Replaces Epson V13H010L33-ER Brand new high quality compatible replacement bulb manufactured in our ISO 9000 factories Plastic housing engineered to perfectly fit into your projector (may be recycled) Internal safety features protect your device from electrical hazards,0 +ActyGo Replaces for Central Pneumatic Harbor Freight Air Compressor Reed Valve Valves STAINLESS,"These are the reed valves as found in fits Central Pneumatic Harbor Freight air compressors as well as Sears Craftsman E100229 and others. They measure approximately 3/8"" x 1 3/4"" You will receive (2) reed valves with your purchase.",0 +Franco PAW Patrol Sheet Set Twin,"PAW Patrol Twin Sheet Set. this cozy microfiber sheet set comes with a fitted sheet, flat sheet and pillowcase.",0 +eHomeProducts Espresso Finish Coat Rack Hall Tree Purse Jacket,"This espresso finish hall tree coat rack provides ample storage for coats and accessories. Measures 19""W x 19""D x 72""H with simple assembly required. Finish: Espresso Features Six Hooks Made from Rubberwood Dimensions: 19""W x 19""D x 72""H Simple assembly required.",0 +Non Slip Wood Protector Disk Rubber Grip Support Table Bench Cookie Sil161,"High friction rubber surfaces and durable core provide a solid grip, preventing projects from slipping while routing, sanding, carving and more. They support the workpiece without leaving marks and raise panels for edge work and finishing. Each cookie is 3"" x 1"". This listing is for 4 cookies, as pictured. Doesn't leave marks. Rubber Grip Support. Table Bench Cookie. Cookie is 3"" x 1"" 4 x Discs/Cookies",0 +"1/2"" Stone Mountain Bowl Gouge","Bowl gouges are primarily used in the production of bowls, platters, dishes and other hollow forms produced on the faceplate - normally with the grain running across the blank. Easy to use and control Used for production of bowls, platters, dishes Most hollow forms produced on the faceplate",0 +Dynatron R24 2U CPU Cooler Active for Intel Socket 2011 - Narrow ILM,"60x60x28mm PWM Fan, Aluminum Fins with Heatpipe directly Contact CPU for 2U and Up Server, Support CPU Power up to 165 Watts Heat Dissipation. Dynatron R24 2U CPU Cooler Active for Intel Socket 2011 - Narrow ILM",0 +"Vickerman Lime Ornament Set, 125 per Box","125 Shatterproof Lime Plastic Ornaments. 3-Finish Matte/Shiny/Glitter. Set of 125 Pieces. Sizes range from 1.5"" to 5.5"" Including 2 6.5' Beaded Garlands. Shatterproof Seamless Plastic Equipped with ornament caps",0 +"NORTHLIGHT 60"" Silver Sequin Snowflake with White Faux Fur Border Skirt Christmas Tree Accessories","Enjoy a beautiful Christmas with this gorgeous tree skirt Tree skirt features sparkly, silver, sequin snowflakes, on a mesh overlay Design goes all the way around Closes in the back with a velcro fasteners Care instructions: spot clean only Dimensions: 60"" diameter Material(s): polyester/faux fur Faux Fur,mesh,sequin Sowflake Tree Skirt Spot Clean Only",0 +Steel Case for #900 Magnetic Protractor,heavey duty steel case with poweder cat paint finnish MADE IN USA with USA materials and labor steel case for 900 protractor MADE IN USA with USA materials and labor,0 +Ganxin Large Professional Flexible Tripod Stand Extendable and Foldable Scoreboard Holder,Ganxin Large professional flexible tripod stand extendable and foldable scoreboard holderSpecifications: Model:tripodA Item Condition:100% New Folded size:68cm Extended size: max.190-200cm Frame Materials: Aluminum alloy Color: black Gross Weight:1KG Warranty:2 months by manufacturer/seller Folded size:68cm Extended size: max.195-200cm Frame Materials: Aluminum alloy,0 +HYNIX HMT125U7BFR8C-H9 2GB DDR3 PC10600 240P DIMM,HYNIX HMT125U7BFR8C-H9 PC3-10600E DDR3-1333 2GB ECC 2RX8 HYNIX PART# HMT125U7BFR8C-H9 PC3-10600E DDR3-1333 2GB ECC 2RX8,0 +"Urban Shop Tufted Office Chair, Ivory",Tufted Leather effect is contemporary and stylish Sturdy armrests for added comfort Adjustable lever for varying heights Pneumatic Seat Height adjustable office chair Assembly required Weight capacity: 225 lbs.,0 +NVX XAD21 2000W RMS 1-OHM Stable Full Bridge Class D High Power Competition Full Range Bridgeable 2-Channel Car Audio MOSFET Amplifier,,0 +#30 Tri-Groove Socket,"Drive: 3/8"" Socket Length: 1-7/32""Fits Nut Size: 5/16"", 3/8"" And 8mmFor Use With Tri-Groove FastenersNot For Use With Pneumatic And Electric Impact WrenchesSocket Length May Vary Slightly, Contact To Confirm If Needed Drive: 3/8"" Socket Length: 1-7/32"" Use To Drive 5/16"", 3/8"" And M8 Tri-Groove Nuts",0 +Kohler K-T22024-4-BL Kohler K-T22024-4 Tempered Deck Mounted Roman Tub Filler,"This Certified Refurbished product is manufacturer refurbished, shows limited or no wear, and includes all original accessories plus a 90-day limited hardware warranty. Finish: Matte Black Manufactured By: Kohler Faucet Centers: 8 in.",0 +"Warehouse of Tiffany CM084/4 Tegan Black & Gold 4 Ceiling Light with Glass Shades Flushmount, Black/Gold",This semi-flush mounted indoor ceiling lamp offers plenty of illumination for your home. The finish combination of black and gold paired with four enclosed clear glass globes makes for a clean and modern fixture. It will showcase your excellent taste for decorating. Lighting Type: Semi-Flush mount Number of Lights: Four (4) Bulb Type: 60-W E12 (not included) Line switch ETL Listed,0 +Absolute USA P16-500GR 16 Gauge 500-Feet Spool Primary Power Wire Cable (Green),16 Gauge 500 FT Spool Primary Power Wire Cable Color Green Durable and Flexible for easy installation,0 +21st Century Model 138 Fiberglass Kerosene Heater Wick,"21st Century's Fiberglass Kerosene Heater Wicks are made of graphite coated fiberglass, a re-inforced cloth band and the highest quality cotton. Wick Model 138 fits Kero-sun OMNI105 (M,N,R), OMNI 120, OMNI 230 (B) Contact us for a free cross reference chart.. High quality cotton Graphite coated fiberglass Multiple set lines Package Dimension: 11.0"" L x 7.0"" W x 1.0"" H",0 +Whirlpool 7403P238-60 Infinite Switch for Range,Works with the following models: Samsung RESF3330DB Samsung RESF3330DW Samsung RESF5330DT 7403P238-60 Genuine Replacement Part,0 +"Naiture 36"" Standard Stainless Steel Shower Rod Ceiling Support with 1'' Loop, Brushed Nickel Finish","Material: Stainless Steel 1/4"" thick solid rod. Complete with eye loop and ceiling-mount flange. May be cut to fit ceiling height. Includes mounting hardware.",0 +ArtDirect M.C. Escher 2X Matted 24x20 Black Ornate Framed Art Print 'Dragonfly',This is a high quality framed and double matted open edition art print. The frame is a two inch black ornate wood frame. The high quality art print is in stock and framed within a business day of order placement. Your satisfaction is guaranteed. High Quality Large Framed and Double Matted Open Edition Art Print Two Inch Wide Black Ornate Wood Frame In Stock - Framed and Shipped Out within One Business Day Satisfaction Guaranteed Made in the U.S.A.,0 +"Jean Dubost 4 Piece Cheese Board Set, Ivory",This Jean Dubost cheese board set is great for slicing and serving all types of cheeses. It's a perfect addition to any party or get together. Abs Handles Stainless Steel Blades Certificate Of Authenticity Color: Ivory This Jean Dubost Cheese Board Set Is Great For Slicing And Serving All Types Of Cheeses. It's A Perfect Addition To Any Party Or Get Together.,0 +"Signs 4 Fun SIGJW9 John Wayne-Courage Metal Tin Sign, Brown",John Wayne - Courage Metal Tin Sign Unembossed Tin Built To Last. Great Item To Give as A Gift.,0 +Backcountry Access BCA BC Link 2.0 Two-Way FRS Radio + Frogzskin Vent Kit,Includes BCA BC Link 2.0 FRS Two-Way Radio Includes Frogz Skin Speaker & Microphone Vent Kit 22 FRS channels + 121 sub-channels ensures minimal interference Meet all criteria set out by the revised FCC CFR 47 Part 95B,0 +"Southwire Company 26977906 Building Wire, 18 Awg/ 1 Cond, Black, 500Ft",Southwire 500 ft. 18 Solid TFN Building Wire Wire Length: 500' Gauge Conductors: 18 Cable or Wire Type: TFN Color: Black uSE FOR Indoor,0 +Peony Flower Wreath for Front Door Pink Valentine's Day Wreath Artificial Spring Floral Welcome Wreath Summer Garland for Door Window Wall Wedding Party Office Home Decor,,0 +"LAPUDA Beautiful Hand Beading of Wedding Flower Basket with Elegant Appearance and Ivory Color, Clusters of Stars Style (1 Basket)",Basket Color is available in Ivory & White Applique : Clear Rhinestones Basket size: The total height is 8.6 inches. (Including handle height) Basket Color is Ivory Applique : Clear Rhinestones Basket size: The total height is 8.6 inches. (Including handle height),0 +Brookstone Wine Chilling Stick,"Chills your wine without watering it down Contoured spout allows for a drip-free pour To prep the stick, simply place it in the freezer for at least 1 hour Keeps wine perfectly chilled and ready to serve Keep your wine chilled and ready to go",0 +"Plug-in Transformr, 115V in, 16.5V Out, 20V","Plug-in Transformr,115V In,16.5V Out,20V Country of manufacture: China Door and Cabinet Hinges & Hardware Manufacturer: ALTRONIX",0 +"Supermicro E200-9B Pentium N3700 4X Intel LAN Mini Server, 8GB & 120GB mSATA SSD - Configured and Assembled by MITXPC",,0 +BQ220220 - Cutler Hammer Circuit Breakers,"2 Pole 20 Amp - 2 Pole 20 Amp Quad Breaker Cutler Hammer Type BQ Quad 2 Pole 20 and 2 Pole 30 2 Pole 20 and 2 Pole 30 10,000 aic @ 120 / 240Volt",0 +A&B Home Keyhole Vase,"This ceramic keyhole shape vase, designed by Anthony venetucci, has a ceramic construction. It has a lovely silver color with a metallic finish. The metallic tone gives it a rich appeal and makes it appear like a priceless treasure. It is a wonderful decorative piece for any style of room in your home. Made of ceramic Silver color with metallic finish Anthony venetucci design Perfect for home decor",0 +Bommeow Battery Charger Combo for ICOM IC-705 as BP-307 (CB-BICL0307-3350-D),Value Set 1 Charger with 1 Battery Combo Fit ICOM: IC-705 Two Way Radio Model OEM Charger: BC-202 Fit Battery: BP-307 Battery: 7.4 V | 3350 mAh | Li-ion | Densely constructed w/ thick shell casing Maintain high capacity for 12 months from date of shipment.,0 +"Hardware House H10-3947 Dakota Outdoor Fixture Post Light, Antique Silver",From the Manufacturer Dakota Series Outdoor Fixture Post Light Antique Silver. 6-3/4-inch by 8-1/2-inch 100-watt light Antique Silver Finish With Seedy Glass Bulbs not included,0 +"Valved ""Y"" Connections Model Code: AH - Price is for 1 Each (part# 111)",Oxygen RH Female B-Size. High Quality adapters and connectors for Regulators and gas cylinders. Please take extra consideration to ensure the connector you are purchasing will work with the appropriate gas use. Oxygen RH Female B-Size Outlet: 2 - Oxygen RH Male B-Size Material: Brass Max Pressure: 200 psi Size: CGA-022,0 +Lee Double Curtain Rod 66-120 inch - Satin Nickel,"Rod Desyne is pleased to introduce our designer-looking adjustable Lee Double Drapery Rod made with high quality steel pole. This curtain rod will add an elegant statement to any room. Matching single rod Includes two 13/16 inch diameter adjustable poles, extends 66-120 inch, 3 double brackets, and mounting hardware Projection: wall to back rod: 3.75"", wall to front rod: 6.375"" inches Each Lee finial measures W 1-3/8"", H 1-1/16"", D 1-1/16""",0 +"DeWalt DW735/DW735X 13"" Planer 4 Pack Replacement Carbon Brush # 5140011-85-4PK",Sold on Amazon,0 +"Dagan Wood Basket (DG-13BLK), Black","The Dagan Wood Basket provides a premium carrier to store your firewood. Made from durable steel with a black finish and a filigree body design, this log holder is built to last. Neatly stack your logs in this 3 pound, 21-inch long wood basket. Premium fireplace wood basket Made from durable steel with a black finish Beautiful filigree body design 21-inches long and weighs 3 pounds Manufacturer #: 13BLK",0 +Culligan Seal Pack,Culligan Seal Pack. This is a genuine OEM (Original Equipment Manufacturer) part. Use genuine OEM parts for safety reliability and performance. This is a genuine OEM (Original Equipment Manufacturer) part. Use genuine OEM parts for safety reliability and performance.,0 +Embraco EMI70HNR Replacement Refrigeration Compressor 1/3 HP R-134A R134A,This is a Brand New EMBRACO Refrigeration Compressor This is a Brand New EMBRACO Refrigeration Compressor 1/3 HP 115V R-134A / R134A / Aftermarket replacement for Embraco # EMI70HNR,0 +Essy serum for skin care pink 1 pack 60ML,"Brand sorrento P1419-10 Faux silk fabric Dimension :50"" Decoration High Quality Christams tree skirt style Secure around tree stand with the Velcro 100 % Polyester,faux Silk,sequin Dimensions:50""/Color:silver Faux silk with sequin embroidery to the 100% polyester fabric 100% polyurethane or foam filling High quality with lowest price Can be re-used yesr after year",0 +"Silk Shantung Traditional Bell Shaped Lamp Shade, Eggshell color | 16 Inch by UpgradeLAMPS",This beautiful classic shade can update any lamp style you have. Upgradelights traditional silk bell shaped lamp shade is a part of a timeless collection. Perfect for anyone who is looking for a traditional & elegant lampshade. Exterior Fabric: Hand Tailored Silk-Type Shantung Shantung Silk Imported Shade Dimensions in Inches: Top is (8 x 16 x 12) inches Shape & Style: Bell shaped for a Traditional elegant style Polished brass spider fitting. Creme fabric with self trim.,0 +"wall26 Canvas Print Wall Art Eagle Insignia Army & Family Flag Pop Culture Cultural Digital Art Modern Art Traditional Colorful for Living Room, Bedroom, Office - 32""x48""","High quality printed artwork stretched to fit on durable and shrink-resistant canvas. Great gift idea for friends and family for holidays or other special occasions. 1.5"" stretcher bars to give artwork a gallery-quality profile. Hanging accessory toolkit included with all artwork. Note: Due to monitor display issues, actual colors may slightly differ from pictures.",0 +Teen Wolf Mtv Poster 2ftx3ft,"Teen Wolf Mtv Poster 2ftx3ft,Size: 24inx36in, produced on quality poster paper. Measures 24""x36"" 24 inches x 36 inches Paper poster, Condition: NEW Packaged rolled inside cardboard tube Wall Art for any room",0 +Serta Motion Perfect 2.0 (New Black 2020 Version-) Replacement Remote for Adjustable Bed- Does NOT Have 6 PINS,"This is the genuine replacement remote for the Serta Motion Perfect 2.0 Adjustable Base. As of 2018 Serta discontinued the old white color remote and replaced it with the current black remote without a Serta logo. The same remote works for two bases (one from Simmons) so they were able to save on skus at the factory. If your old remote's buttons or the word ""Massage"" are in different places this remote will not be compatible with your base.",0 +Head Case Designs Officially Licensed Barruf Gentle Pug Dogs Leather Book Wallet Case Cover Compatible with Samsung Galaxy S21 Ultra 5G,Head Case Designs Officially Licensed Barruf product Handcrafted leather construction Multiple card slots for ID or credit cards Multi-view stand. Ideal for watching movies Magnetic closure system,0 +AFC (TM) AFC-EPH-1200-2-12000SKC Water Filter (Comparable to BodyGlove (R) BG-3000R ) Made in U.S.A (1),Micron Rating: 0.5 Microns Flow Rate: 0.5 GPM 1:89 LMP - 2.0 GPM/7.56 LMP Capacity: 12 months or 9000 Gallons Dimensions: 3.4″ Tall X 12.25″ Wide Max Temp: for cold water use only: 100° F (38° C) Max Pressure: 125 PSI,0 +"Cosmas 25 Pack 464SN Satin Nickel Leaf Cabinet Hardware Round Knob - 1-1/4"" Inch Diameter","High Quality Satin Nickel Finish Knob Diameter: 1-1/4"" Projection: 1"" Base of Knob Diameter: 5/8"" Individually Polybagged with 1"" Mounting Screws Included",0 +"ION TOOL Pry Bar 4 Piece Set, 8-24 inch with Hammer Top","4 Piece Pry Bar Set, comes in the following sizes: 24”, 19”, 13”, 8”. Quality Construction from forged square stock, will not easily bend or twist. Striking Cap designed for hammer striking to power through your project. Premium non-slip handles with attractive two-tone color design. Customer satisfaction guaranteed. US based company with fast and exceptional customer service.",0 +"WES CLASSIC ECONOMY, Manufacturer: WES, Part Number: 398004-AD, VPN: 120-0015-AD, Condition: New",,0 +Dometic 385311647 Dometic 385311647 Seat and Lid for 310 Series Toilet - Bone,"Dometic ducting attaches easily to duct rings, grilles, and transition boxes and is constructed from a Mylar fabric shell with 1"" thick insulation. 5"" x 25' size. Package Dimensions: 21 L x 5 H x 19 W (inches) Package Weight : 3 pounds Country of Origin : China Part number: 385311647",0 +Vickerman 9' Unlit Upside Down Artificial Christmas Tree (A860180),"9' x 102"" unlit Upside Down tree featuring 2420 PVC tips, making this festive tree the perfect addition to any room. 2420 PVC Tips Unlit, 2420 PVC Tips 10 Year Limited Manufacturer 9' x 102""",0 +BOYO VTS18HD - Tailgate Door Handle HD Backup Camera for Toyota Tacoma 2005-2014 (Black Door Handle),VTS18HD: Vehicle Specific Toyota Tacoma Tailgate Door-handle Camera Fits Toyota Tacoma 2005~2014;Sony HD CCD;600 TVL horizontal resolution;768(H) x 494(V) pixels; Waterproof IP67;130 degree wide viewing angle;0.1 lux; Reverse Image; Parking lines on/off selectable,0 +"Consumable Kit, 30 AMP, for XT30","The consumable kit is for use with XT30 torch. It includes 5 electrodes (249926), 5 tips (249927), 1 swirl ring (249931), 1 retaining cup (249932), 1 O-Ring (249969) and 1 grease pack (252951). Amps: 30 AMP Application: Plasma Cutting For use with: XT30 torch",0 +Efergy Elite 4.0 Wireless Electricity Monitor,"Large wireless portable compact display can be placed anywhere in the home DIY - easy, quick and safe installation and Set up Energy monitors are not designed to replace or be as accurate as your supply meter as meters are highly accurate and monitors are a guide Home instant real-time energy consumption readings",0 +Grey Pneumatic GY1326M 1/2 Inch Drive 26 Pieces Standard Lenght Metric Master Set,"High quality chro-moly alloy steel. GP High Torque Drive Socket design for increased strength with reduced chance of fastener rounding. .Comes in a molded case. Molded cases feature removable top for use as a toolbox tray. Set Includes: (1/2"" Drive; 6 Points): 10mm Thru 36mm Standard Length Impact Sockets.",0