From 21585b9ce9e1d10e467a320fcc79044baf2ac7ff Mon Sep 17 00:00:00 2001 From: sparsh_thakur <113547853+skullemote@users.noreply.github.com> Date: Mon, 3 Feb 2025 12:10:04 +0530 Subject: [PATCH] my day 2 exercise solution --- week1/day2EXERCISE-mysolution.ipynb | 1862 +++++++++++++++++++++++++++ 1 file changed, 1862 insertions(+) create mode 100644 week1/day2EXERCISE-mysolution.ipynb diff --git a/week1/day2EXERCISE-mysolution.ipynb b/week1/day2EXERCISE-mysolution.ipynb new file mode 100644 index 0000000..0810e32 --- /dev/null +++ b/week1/day2EXERCISE-mysolution.ipynb @@ -0,0 +1,1862 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "d15d8294-3328-4e07-ad16-8a03e9bbfdb9", + "metadata": {}, + "source": [ + "# Welcome to your first assignment!\n", + "\n", + "Instructions are below. Please give this a try, and look in the solutions folder if you get stuck (or feel free to ask me!)" + ] + }, + { + "cell_type": "markdown", + "id": "ada885d9-4d42-4d9b-97f0-74fbbbfe93a9", + "metadata": {}, + "source": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + "

Just before we get to the assignment --

\n", + " I thought I'd take a second to point you at this page of useful resources for the course. This includes links to all the slides.
\n", + " https://edwarddonner.com/2024/11/13/llm-engineering-resources/
\n", + " Please keep this bookmarked, and I'll continue to add more useful links there over time.\n", + "
\n", + "
" + ] + }, + { + "cell_type": "markdown", + "id": "6e9fa1fc-eac5-4d1d-9be4-541b3f2b3458", + "metadata": {}, + "source": [ + "# HOMEWORK EXERCISE ASSIGNMENT\n", + "\n", + "Upgrade the day 1 project to summarize a webpage to use an Open Source model running locally via Ollama rather than OpenAI\n", + "\n", + "You'll be able to use this technique for all subsequent projects if you'd prefer not to use paid APIs.\n", + "\n", + "**Benefits:**\n", + "1. No API charges - open-source\n", + "2. Data doesn't leave your box\n", + "\n", + "**Disadvantages:**\n", + "1. Significantly less power than Frontier Model\n", + "\n", + "## Recap on installation of Ollama\n", + "\n", + "Simply visit [ollama.com](https://ollama.com) and install!\n", + "\n", + "Once complete, the ollama server should already be running locally. \n", + "If you visit: \n", + "[http://localhost:11434/](http://localhost:11434/)\n", + "\n", + "You should see the message `Ollama is running`. \n", + "\n", + "If not, bring up a new Terminal (Mac) or Powershell (Windows) and enter `ollama serve` \n", + "And in another Terminal (Mac) or Powershell (Windows), enter `ollama pull llama3.2` \n", + "Then try [http://localhost:11434/](http://localhost:11434/) again.\n", + "\n", + "If Ollama is slow on your machine, try using `llama3.2:1b` as an alternative. Run `ollama pull llama3.2:1b` from a Terminal or Powershell, and change the code below from `MODEL = \"llama3.2\"` to `MODEL = \"llama3.2:1b\"`" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "4e2a9393-7767-488e-a8bf-27c12dca35bd", + "metadata": {}, + "outputs": [], + "source": [ + "# imports\n", + "\n", + "import requests\n", + "from bs4 import BeautifulSoup\n", + "from IPython.display import Markdown, display" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "29ddd15d-a3c5-4f4e-a678-873f56162724", + "metadata": {}, + "outputs": [], + "source": [ + "# Constants\n", + "\n", + "OLLAMA_API = \"http://localhost:11434/api/chat\"\n", + "HEADERS = {\"Content-Type\": \"application/json\"}\n", + "MODEL = \"llama3.2\"" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "dac0a679-599c-441f-9bf2-ddc73d35b940", + "metadata": {}, + "outputs": [], + "source": [ + "# Create a messages list using the same format that we used for OpenAI\n", + "\n", + "messages = [\n", + " {\"role\": \"user\", \"content\": \"Describe some of the business applications of Generative AI\"}\n", + "]" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "7bb9c624-14f0-4945-a719-8ddb64f66f47", + "metadata": {}, + "outputs": [], + "source": [ + "payload = {\n", + " \"model\": MODEL,\n", + " \"messages\": messages,\n", + " \"stream\": False\n", + " }" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "479ff514-e8bd-4985-a572-2ea28bb4fa40", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[?25lpulling manifest ⠋ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1Gpulling manifest ⠙ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1Gpulling manifest ⠹ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1Gpulling manifest ⠸ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1Gpulling manifest ⠼ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1Gpulling manifest ⠴ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1Gpulling manifest ⠦ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1Gpulling manifest ⠧ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1Gpulling manifest ⠇ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1Gpulling manifest ⠏ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1Gpulling manifest ⠋ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1Gpulling manifest ⠙ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1Gpulling manifest ⠹ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1Gpulling manifest ⠸ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1Gpulling manifest \n", + "pulling dde5aa3fc5ff... 100% ▕████████████████▏ 2.0 GB \n", + "pulling 966de95ca8a6... 100% ▕████████████████▏ 1.4 KB \n", + "pulling fcc5a6bec9da... 100% ▕████████████████▏ 7.7 KB \n", + "pulling a70ff7e570d9... 100% ▕████████████████▏ 6.0 KB \n", + "pulling 56bb8bd477a5... 100% ▕████████████████▏ 96 B \n", + "pulling 34bb5ab01051... 100% ▕████████████████▏ 561 B \n", + "verifying sha256 digest \n", + "writing manifest \n", + "success \u001b[?25h\n" + ] + } + ], + "source": [ + "# Let's just make sure the model is loaded\n", + "\n", + "!ollama pull llama3.2" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "42b9f644-522d-4e05-a691-56e7658c0ea9", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Generative AI has numerous business applications across various industries. Here are some examples:\n", + "\n", + "1. **Content Generation**: Generative AI can create high-quality content such as articles, social media posts, product descriptions, and more, reducing the need for human writers and editors.\n", + "2. **Marketing Automation**: Generative AI-powered tools can automate marketing tasks like email campaigns, ad copywriting, and lead generation, increasing efficiency and personalization.\n", + "3. **Product Design and Development**: Generative AI can aid in product design, such as creating 3D models, generating prototypes, and optimizing product designs for manufacturing.\n", + "4. **Personalized Recommendations**: Generative AI algorithms can analyze customer data and behavior to create personalized product recommendations, improving customer engagement and loyalty.\n", + "5. **Speech-to-Text and Translation**: Generative AI-powered speech recognition and translation tools can improve communication across languages and cultures, enhancing customer service and global business operations.\n", + "6. **Customer Service Chatbots**: Generative AI-driven chatbots can provide 24/7 customer support, answering common questions, and routing complex issues to human representatives.\n", + "7. **Image and Video Generation**: Generative AI can create high-quality images and videos for various applications, such as advertising, entertainment, and education.\n", + "8. **Supply Chain Optimization**: Generative AI can analyze supply chain data to predict demand, optimize inventory levels, and improve logistics operations.\n", + "9. **Predictive Maintenance**: Generative AI algorithms can analyze equipment sensor data to predict maintenance needs, reducing downtime and increasing overall efficiency.\n", + "10. **Data Analysis and Visualization**: Generative AI-powered tools can quickly analyze large datasets, identify patterns, and create insightful visualizations, enabling better decision-making.\n", + "\n", + "Industry-specific applications:\n", + "\n", + "1. **Finance and Banking**: Generative AI can aid in risk assessment, portfolio optimization, and customer onboarding processes.\n", + "2. **Healthcare**: Generative AI can help generate personalized medicine recommendations, diagnose diseases more accurately, and develop new treatments.\n", + "3. **Education**: Generative AI-powered tools can create adaptive learning platforms, automate grading, and provide real-time feedback to students.\n", + "4. **Retail and E-commerce**: Generative AI can optimize inventory levels, improve product recommendation algorithms, and enhance customer service through chatbots.\n", + "\n", + "These are just a few examples of the many business applications of Generative AI. As the technology continues to evolve, we can expect to see even more innovative uses across various industries.\n" + ] + } + ], + "source": [ + "# If this doesn't work for any reason, try the 2 versions in the following cells\n", + "# And double check the instructions in the 'Recap on installation of Ollama' at the top of this lab\n", + "# And if none of that works - contact me!\n", + "\n", + "response = requests.post(OLLAMA_API, json=payload, headers=HEADERS)\n", + "print(response.json()['message']['content'])" + ] + }, + { + "cell_type": "markdown", + "id": "6a021f13-d6a1-4b96-8e18-4eae49d876fe", + "metadata": {}, + "source": [ + "# Introducing the ollama package\n", + "\n", + "And now we'll do the same thing, but using the elegant ollama python package instead of a direct HTTP call.\n", + "\n", + "Under the hood, it's making the same call as above to the ollama server running at localhost:11434" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "7745b9c4-57dc-4867-9180-61fa5db55eb8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Generative AI has numerous business applications across various industries, including:\n", + "\n", + "1. **Content Creation**: Generative AI can be used to generate high-quality content such as images, videos, and text, reducing the need for human writers and designers.\n", + "2. **Marketing Automation**: Generative AI can help automate marketing processes, such as personalized email campaigns, social media posts, and product recommendations.\n", + "3. **Product Design**: Generative AI can assist in designing new products, such as furniture, clothing, and electronics, by generating 3D models and visual prototypes.\n", + "4. **Customer Service Chatbots**: Generative AI-powered chatbots can provide 24/7 customer support, answering frequently asked questions, and routing complex issues to human representatives.\n", + "5. **Data Analysis**: Generative AI can be used to analyze large datasets, identify patterns, and generate insights, helping businesses make data-driven decisions.\n", + "6. **Personalized Recommendations**: Generative AI can help create personalized product recommendations for customers based on their browsing history, purchase behavior, and other factors.\n", + "7. **Language Translation**: Generative AI-powered translation tools can translate text and speech in real-time, reducing language barriers and enabling global communication.\n", + "8. **Image and Video Editing**: Generative AI can be used to edit images and videos, removing noise, correcting imperfections, and generating new content.\n", + "9. **Music Composition**: Generative AI can assist in composing music, creating new melodies, harmonies, and beats that would be difficult or impossible for humans to create on their own.\n", + "10. **Supply Chain Optimization**: Generative AI can help optimize supply chain operations by predicting demand, identifying bottlenecks, and recommending logistics improvements.\n", + "\n", + "Some specific examples of business applications of Generative AI include:\n", + "\n", + "* **Google's Image Search**: Uses Generative AI to generate images that match search queries, improving the accuracy of image searches.\n", + "* **Netflix's Content Recommendations**: Uses Generative AI to create personalized content recommendations for users based on their viewing history and preferences.\n", + "* **Amazon's Virtual Customer Service**: Uses Generative AI-powered chatbots to provide 24/7 customer support to Amazon customers.\n", + "* **IBM's Watson Health**: Uses Generative AI to analyze medical images, diagnose diseases, and develop personalized treatment plans.\n", + "\n", + "These are just a few examples of the many business applications of Generative AI. As the technology continues to evolve, we can expect to see even more innovative uses in various industries.\n" + ] + } + ], + "source": [ + "import ollama\n", + "\n", + "response = ollama.chat(model=MODEL, messages=messages)\n", + "print(response['message']['content'])" + ] + }, + { + "cell_type": "markdown", + "id": "a4704e10-f5fb-4c15-a935-f046c06fb13d", + "metadata": {}, + "source": [ + "## Alternative approach - using OpenAI python library to connect to Ollama" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "23057e00-b6fc-4678-93a9-6b31cb704bff", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Generative AI has numerous business applications across various industries, including:\n", + "\n", + "1. **Content Generation**: Generating high-quality content such as articles, social media posts, product descriptions, and more, reducing the need for human writers and increasing content creation efficiency.\n", + "2. **Product Design and Development**: Using Generative AI to design and develop new products, reduce prototyping time, and improve product functionality.\n", + "3. **Artificial Photosynthesis**: Generating realistic images of products, scenes, or environments using generative models like StyleGAN or Diffusion, enabling digitalization of industrial prototypes.\n", + "4. **Chatbots and Virtual Assistants**: Creating conversational interfaces that mimic human-like conversations, allowing businesses to provide personalized customer experiences.\n", + "5. **Sales and Marketing Optimization**: Using Generative AI to generate sales pitches, product showcases, and marketing materials, increasing engagement rates and conversion optimization.\n", + "6. **Data Generation and Augmentation**: Generating synthetic data for testing and training machine learning models, reducing the need for real-world datasets and improving model accuracy.\n", + "\n", + "Some specific companies that are exploring these applications include:\n", + "\n", + "* **Content Generation**: WordLift uses Generative AI to generate high-quality content such as blog posts, articles, and product descriptions.\n", + "* **Product Design and Development**: Autodesk uses Generative Design tools powered by AI and machine learning algorithms to design building components faster and more efficiently.\n", + "* **Artificial Photosynthesis**: Generative models can be used in various fields like fashion design, video production or art. Example companies are Prisma for artistic style transference, Art Breeder for AI created visual outputs and the aforementioned StyleGAN.\n", + "\n", + "The potential benefits of Generative AI for businesses include:\n", + "\n", + "1. **Increased Efficiency**: Reduced time spent on content creation, product design, and data preparation.\n", + "2. **Improved Accuracy**: Improved accuracy in generating high-quality products, images, and customer experiences.\n", + "3. **Competitive Advantage**: Unique capabilities to differentiate from competitors.\n", + "4. **Scalability**: Ability to process large datasets quickly and generate a high volume of products.\n", + "\n", + "However, there are also potential risks and limitations associated with Generative AI applications:\n", + "\n", + "1. **Data Quality and Bias**: Risk of generating biased or high-quality content depending on the quality and diversity of input data.\n", + "2. **Job Displacement**: Concerns that jobs will be displaced for those human-based processes like writing, content management or customer satisfaction in some cases.\n", + "3.\n" + ] + } + ], + "source": [ + "# There's actually an alternative approach that some people might prefer\n", + "# You can use the OpenAI client python library to call Ollama:\n", + "\n", + "from openai import OpenAI\n", + "ollama_via_openai = OpenAI(base_url='http://localhost:11434/v1', api_key='ollama')\n", + "\n", + "response = ollama_via_openai.chat.completions.create(\n", + " model=MODEL,\n", + " messages=messages\n", + ")\n", + "\n", + "print(response.choices[0].message.content)" + ] + }, + { + "cell_type": "markdown", + "id": "bc7d1de3-e2ac-46ff-a302-3b4ba38c4c90", + "metadata": {}, + "source": [ + "## Also trying the amazing reasoning model DeepSeek\n", + "\n", + "Here we use the version of DeepSeek-reasoner that's been distilled to 1.5B. \n", + "This is actually a 1.5B variant of Qwen that has been fine-tuned using synethic data generated by Deepseek R1.\n", + "\n", + "Other sizes of DeepSeek are [here](https://ollama.com/library/deepseek-r1) all the way up to the full 671B parameter version, which would use up 404GB of your drive and is far too large for most!" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "cf9eb44e-fe5b-47aa-b719-0bb63669ab3d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[?25lpulling manifest ⠙ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1Gpulling manifest ⠹ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1Gpulling manifest ⠹ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1Gpulling manifest ⠼ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1Gpulling manifest ⠴ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1Gpulling manifest ⠴ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1Gpulling manifest ⠧ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1Gpulling manifest ⠧ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1Gpulling manifest ⠏ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1Gpulling manifest ⠏ 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"\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 2.7 MB/1.1 GB \u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 4.2 MB/1.1 GB 3.5 MB/s 5m17s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 5.0 MB/1.1 GB 3.5 MB/s 5m17s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 6.5 MB/1.1 GB 3.5 MB/s 5m16s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 8.0 MB/1.1 GB 3.5 MB/s 5m16s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 8.8 MB/1.1 GB 3.5 MB/s 5m16s\u001b[?25h\n", + "pulling aabd4debf0c8... 1% ▕ ▏ 9.8 MB/1.1 GB 3.5 MB/s 5m15s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 11 MB/1.1 GB 3.5 MB/s 5m15s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 11 MB/1.1 GB 3.5 MB/s 5m15s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 13 MB/1.1 GB 3.5 MB/s 5m14s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 14 MB/1.1 GB 3.5 MB/s 5m14s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 14 MB/1.1 GB 7.4 MB/s 2m28s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 16 MB/1.1 GB 7.4 MB/s 2m27s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 17 MB/1.1 GB 7.4 MB/s 2m27s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 19 MB/1.1 GB 7.4 MB/s 2m27s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 20 MB/1.1 GB 7.4 MB/s 2m27s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 22 MB/1.1 GB 7.4 MB/s 2m27s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 23 MB/1.1 GB 7.4 MB/s 2m27s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 24 MB/1.1 GB 7.4 MB/s 2m26s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 26 MB/1.1 GB 7.4 MB/s 2m26s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 26 MB/1.1 GB 7.4 MB/s 2m26s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 27 MB/1.1 GB 9.3 MB/s 1m56s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 30 MB/1.1 GB 9.3 MB/s 1m56s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 30 MB/1.1 GB 9.3 MB/s 1m56s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 32 MB/1.1 GB 9.3 MB/s 1m56s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 33 MB/1.1 GB 9.3 MB/s 1m56s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 34 MB/1.1 GB 9.3 MB/s 1m56s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 36 MB/1.1 GB 9.3 MB/s 1m55s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 37 MB/1.1 GB 9.3 MB/s 1m55s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 38 MB/1.1 GB 9.3 MB/s 1m55s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 39 MB/1.1 GB 9.3 MB/s 1m55s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 41 MB/1.1 GB 10 MB/s 1m44s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 42 MB/1.1 GB 10 MB/s 1m44s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 43 MB/1.1 GB 10 MB/s 1m43s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 45 MB/1.1 GB 10 MB/s 1m43s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 45 MB/1.1 GB 10 MB/s 1m43s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 47 MB/1.1 GB 10 MB/s 1m43s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 48 MB/1.1 GB 10 MB/s 1m43s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 49 MB/1.1 GB 10 MB/s 1m43s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 51 MB/1.1 GB 10 MB/s 1m43s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 52 MB/1.1 GB 10 MB/s 1m43s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 53 MB/1.1 GB 10 MB/s 1m42s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 54 MB/1.1 GB 10 MB/s 1m38s\u001b[?25h\n", + "\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest 55 MB/1.1 GB 10 MB/s 1m37s\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 55 MB/1.1 GB 10 MB/s 1m37s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 55 MB/1.1 GB 10 MB/s 1m37s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 56 MB/1.1 GB 10 MB/s 1m37s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 56 MB/1.1 GB 10 MB/s 1m37s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 57 MB/1.1 GB 10 MB/s 1m37s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 62 MB/1.1 GB 10 MB/s 1m37s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 62 MB/1.1 GB 10 MB/s 1m37s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 63 MB/1.1 GB 10 MB/s 1m37s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 66 MB/1.1 GB 10 MB/s 1m37s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 68 MB/1.1 GB 10 MB/s 1m37s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 69 MB/1.1 GB 10 MB/s 1m37s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 70 MB/1.1 GB 10 MB/s 1m36s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 70 MB/1.1 GB 10 MB/s 1m36s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 70 MB/1.1 GB 10 MB/s 1m36s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 71 MB/1.1 GB 10 MB/s 1m36s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 72 MB/1.1 GB 10 MB/s 1m36s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 75 MB/1.1 GB 10 MB/s 1m36s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 79 MB/1.1 GB 10 MB/s 1m36s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 79 MB/1.1 GB 11 MB/s 1m30s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 81 MB/1.1 GB 11 MB/s 1m30s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 82 MB/1.1 GB 11 MB/s 1m30s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 83 MB/1.1 GB 11 MB/s 1m30s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 84 MB/1.1 GB 11 MB/s 1m30s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 84 MB/1.1 GB 11 MB/s 1m30s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 84 MB/1.1 GB 11 MB/s 1m30s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 84 MB/1.1 GB 11 MB/s 1m30s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 84 MB/1.1 GB 11 MB/s 1m30s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 84 MB/1.1 GB 11 MB/s 1m30s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 85 MB/1.1 GB 10 MB/s 1m37s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 85 MB/1.1 GB 10 MB/s 1m37s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 85 MB/1.1 GB 10 MB/s 1m37s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 85 MB/1.1 GB 10 MB/s 1m37s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 85 MB/1.1 GB 10 MB/s 1m37s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 85 MB/1.1 GB 10 MB/s 1m37s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 92 MB/1.1 GB 10 MB/s 1m36s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 101 MB/1.1 GB 10 MB/s 1m35s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 102 MB/1.1 GB 10 MB/s 1m35s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 104 MB/1.1 GB 10 MB/s 1m35s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 105 MB/1.1 GB 11 MB/s 1m26s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 105 MB/1.1 GB 11 MB/s 1m26s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 105 MB/1.1 GB 11 MB/s 1m26s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 105 MB/1.1 GB 11 MB/s 1m26s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 106 MB/1.1 GB 11 MB/s 1m26s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 106 MB/1.1 GB 11 MB/s 1m26s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 107 MB/1.1 GB 11 MB/s 1m26s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 109 MB/1.1 GB 11 MB/s 1m25s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 109 MB/1.1 GB 11 MB/s 1m25s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 109 MB/1.1 GB 11 MB/s 1m25s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 110 MB/1.1 GB 11 MB/s 1m25s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 110 MB/1.1 GB 11 MB/s 1m24s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 112 MB/1.1 GB 11 MB/s 1m24s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 112 MB/1.1 GB 11 MB/s 1m24s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 112 MB/1.1 GB 11 MB/s 1m24s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 115 MB/1.1 GB 11 MB/s 1m24s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 118 MB/1.1 GB 11 MB/s 1m24s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 126 MB/1.1 GB 11 MB/s 1m23s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 128 MB/1.1 GB 11 MB/s 1m23s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 128 MB/1.1 GB 11 MB/s 1m23s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 130 MB/1.1 GB 11 MB/s 1m22s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 131 MB/1.1 GB 12 MB/s 1m16s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 132 MB/1.1 GB 12 MB/s 1m16s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 134 MB/1.1 GB 12 MB/s 1m16s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 135 MB/1.1 GB 12 MB/s 1m15s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 135 MB/1.1 GB 12 MB/s 1m15s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 135 MB/1.1 GB 12 MB/s 1m15s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 136 MB/1.1 GB 12 MB/s 1m15s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 136 MB/1.1 GB 12 MB/s 1m15s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 137 MB/1.1 GB 12 MB/s 1m15s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 142 MB/1.1 GB 12 MB/s 1m15s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 142 MB/1.1 GB 12 MB/s 1m16s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 142 MB/1.1 GB 12 MB/s 1m16s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 143 MB/1.1 GB 12 MB/s 1m16s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 143 MB/1.1 GB 12 MB/s 1m16s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 143 MB/1.1 GB 12 MB/s 1m16s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 148 MB/1.1 GB 12 MB/s 1m15s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 148 MB/1.1 GB 12 MB/s 1m15s\u001b[?25h\n", + "pulling aabd4debf0c8... 13% ▕██ ▏ 149 MB/1.1 GB 12 MB/s 1m15s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 149 MB/1.1 GB 12 MB/s 1m15s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 149 MB/1.1 GB 12 MB/s 1m15s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 150 MB/1.1 GB 12 MB/s 1m19s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 153 MB/1.1 GB 12 MB/s 1m19s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 153 MB/1.1 GB 12 MB/s 1m19s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 158 MB/1.1 GB 12 MB/s 1m18s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 161 MB/1.1 GB 12 MB/s 1m18s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 162 MB/1.1 GB 12 MB/s 1m18s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 164 MB/1.1 GB 12 MB/s 1m18s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 166 MB/1.1 GB 12 MB/s 1m18s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 166 MB/1.1 GB 12 MB/s 1m18s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 166 MB/1.1 GB 12 MB/s 1m18s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 166 MB/1.1 GB 12 MB/s 1m16s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 167 MB/1.1 GB 12 MB/s 1m16s\u001b[?25h\n", + "pulling aabd4debf0c8... 15% ▕██ ▏ 168 MB/1.1 GB 12 MB/s 1m15s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 169 MB/1.1 GB 12 MB/s 1m15s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 172 MB/1.1 GB 12 MB/s 1m15s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 174 MB/1.1 GB 12 MB/s 1m15s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 174 MB/1.1 GB 12 MB/s 1m15s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 174 MB/1.1 GB 12 MB/s 1m15s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 175 MB/1.1 GB 12 MB/s 1m15s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 179 MB/1.1 GB 12 MB/s 1m15s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 181 MB/1.1 GB 12 MB/s 1m14s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 183 MB/1.1 GB 13 MB/s 1m11s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 184 MB/1.1 GB 13 MB/s 1m11s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 185 MB/1.1 GB 13 MB/s 1m11s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 186 MB/1.1 GB 13 MB/s 1m11s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 188 MB/1.1 GB 13 MB/s 1m11s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 189 MB/1.1 GB 13 MB/s 1m11s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 190 MB/1.1 GB 13 MB/s 1m11s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 192 MB/1.1 GB 13 MB/s 1m10s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 192 MB/1.1 GB 13 MB/s 1m10s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 194 MB/1.1 GB 13 MB/s 1m10s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 195 MB/1.1 GB 12 MB/s 1m11s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 196 MB/1.1 GB 12 MB/s 1m11s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 198 MB/1.1 GB 12 MB/s 1m11s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 199 MB/1.1 GB 12 MB/s 1m11s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 200 MB/1.1 GB 12 MB/s 1m11s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 201 MB/1.1 GB 12 MB/s 1m11s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 203 MB/1.1 GB 12 MB/s 1m11s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 204 MB/1.1 GB 12 MB/s 1m11s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 205 MB/1.1 GB 12 MB/s 1m11s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 207 MB/1.1 GB 12 MB/s 1m11s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 207 MB/1.1 GB 13 MB/s 1m6s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 209 MB/1.1 GB 13 MB/s 1m6s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 210 MB/1.1 GB 13 MB/s 1m6s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 211 MB/1.1 GB 13 MB/s 1m6s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 213 MB/1.1 GB 13 MB/s 1m6s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 214 MB/1.1 GB 13 MB/s 1m6s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 215 MB/1.1 GB 13 MB/s 1m6s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 217 MB/1.1 GB 13 MB/s 1m5s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 218 MB/1.1 GB 13 MB/s 1m5s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 219 MB/1.1 GB 13 MB/s 1m5s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 220 MB/1.1 GB 12 MB/s 1m9s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 222 MB/1.1 GB 12 MB/s 1m9s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 223 MB/1.1 GB 12 MB/s 1m9s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 224 MB/1.1 GB 12 MB/s 1m9s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 226 MB/1.1 GB 12 MB/s 1m9s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 226 MB/1.1 GB 12 MB/s 1m9s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 228 MB/1.1 GB 12 MB/s 1m9s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 229 MB/1.1 GB 12 MB/s 1m9s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 230 MB/1.1 GB 12 MB/s 1m9s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 232 MB/1.1 GB 12 MB/s 1m9s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 233 MB/1.1 GB 13 MB/s 1m4s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 234 MB/1.1 GB 13 MB/s 1m4s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 235 MB/1.1 GB 13 MB/s 1m4s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 237 MB/1.1 GB 13 MB/s 1m4s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 238 MB/1.1 GB 13 MB/s 1m4s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 239 MB/1.1 GB 13 MB/s 1m4s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 241 MB/1.1 GB 13 MB/s 1m4s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 242 MB/1.1 GB 13 MB/s 1m3s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 243 MB/1.1 GB 13 MB/s 1m3s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 245 MB/1.1 GB 13 MB/s 1m3s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 245 MB/1.1 GB 13 MB/s 1m3s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 247 MB/1.1 GB 12 MB/s 1m7s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 248 MB/1.1 GB 12 MB/s 1m7s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 249 MB/1.1 GB 12 MB/s 1m7s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 251 MB/1.1 GB 12 MB/s 1m7s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 252 MB/1.1 GB 12 MB/s 1m7s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 253 MB/1.1 GB 12 MB/s 1m7s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 254 MB/1.1 GB 12 MB/s 1m7s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 256 MB/1.1 GB 12 MB/s 1m7s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 257 MB/1.1 GB 12 MB/s 1m7s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 258 MB/1.1 GB 12 MB/s 1m6s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 260 MB/1.1 GB 12 MB/s 1m6s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 260 MB/1.1 GB 12 MB/s 1m6s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 262 MB/1.1 GB 12 MB/s 1m6s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 263 MB/1.1 GB 12 MB/s 1m5s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 264 MB/1.1 GB 12 MB/s 1m5s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 266 MB/1.1 GB 12 MB/s 1m5s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 267 MB/1.1 GB 12 MB/s 1m5s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 268 MB/1.1 GB 12 MB/s 1m5s\u001b[?25h\n", + "pulling aabd4debf0c8... 24% ▕███ ▏ 269 MB/1.1 GB 12 MB/s 1m5s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 271 MB/1.1 GB 12 MB/s 1m5s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 272 MB/1.1 GB 13 MB/s 1m2s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 273 MB/1.1 GB 13 MB/s 1m2s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 275 MB/1.1 GB 13 MB/s 1m2s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 276 MB/1.1 GB 13 MB/s 1m2s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 277 MB/1.1 GB 13 MB/s 1m2s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 279 MB/1.1 GB 13 MB/s 1m1s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 279 MB/1.1 GB 13 MB/s 1m1s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 281 MB/1.1 GB 13 MB/s 1m1s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 282 MB/1.1 GB 13 MB/s 1m1s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 283 MB/1.1 GB 13 MB/s 1m1s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 285 MB/1.1 GB 13 MB/s 1m3s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 286 MB/1.1 GB 13 MB/s 1m3s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 287 MB/1.1 GB 13 MB/s 1m3s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 288 MB/1.1 GB 13 MB/s 1m2s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 290 MB/1.1 GB 13 MB/s 1m2s\u001b[?25h\n", + "pulling aabd4debf0c8... 26% ▕████ ▏ 291 MB/1.1 GB 13 MB/s 1m2s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 292 MB/1.1 GB 13 MB/s 1m2s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 294 MB/1.1 GB 13 MB/s 1m2s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 294 MB/1.1 GB 13 MB/s 1m2s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 296 MB/1.1 GB 13 MB/s 1m2s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 298 MB/1.1 GB 12 MB/s 1m3s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 298 MB/1.1 GB 12 MB/s 1m3s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 300 MB/1.1 GB 12 MB/s 1m3s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 301 MB/1.1 GB 12 MB/s 1m3s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 302 MB/1.1 GB 12 MB/s 1m3s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 304 MB/1.1 GB 12 MB/s 1m3s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 305 MB/1.1 GB 12 MB/s 1m3s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 306 MB/1.1 GB 12 MB/s 1m3s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 307 MB/1.1 GB 12 MB/s 1m2s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 308 MB/1.1 GB 12 MB/s 1m2s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 309 MB/1.1 GB 12 MB/s 1m2s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 311 MB/1.1 GB 12 MB/s 1m2s\u001b[?25h\n", + "pulling aabd4debf0c8... 28% ▕████ ▏ 312 MB/1.1 GB 12 MB/s 1m2s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 313 MB/1.1 GB 12 MB/s 1m2s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 315 MB/1.1 GB 12 MB/s 1m2s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 316 MB/1.1 GB 12 MB/s 1m2s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 317 MB/1.1 GB 12 MB/s 1m2s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 318 MB/1.1 GB 12 MB/s 1m2s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 320 MB/1.1 GB 12 MB/s 1m2s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 321 MB/1.1 GB 12 MB/s 1m1s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 322 MB/1.1 GB 12 MB/s 1m1s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 324 MB/1.1 GB 12 MB/s 1m1s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 325 MB/1.1 GB 12 MB/s 1m1s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 326 MB/1.1 GB 12 MB/s 1m1s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 328 MB/1.1 GB 12 MB/s 1m1s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 328 MB/1.1 GB 12 MB/s 1m1s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 330 MB/1.1 GB 12 MB/s 1m1s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 331 MB/1.1 GB 12 MB/s 1m1s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 332 MB/1.1 GB 12 MB/s 1m1s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 334 MB/1.1 GB 12 MB/s 1m1s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 335 MB/1.1 GB 12 MB/s 1m0s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 336 MB/1.1 GB 12 MB/s 1m0s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 337 MB/1.1 GB 12 MB/s 1m0s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 339 MB/1.1 GB 12 MB/s 1m0s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 340 MB/1.1 GB 12 MB/s 1m0s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 341 MB/1.1 GB 12 MB/s 1m0s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 343 MB/1.1 GB 12 MB/s 1m0s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 343 MB/1.1 GB 12 MB/s 1m0s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 345 MB/1.1 GB 12 MB/s 1m0s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 346 MB/1.1 GB 12 MB/s 1m0s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 347 MB/1.1 GB 12 MB/s 59s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 349 MB/1.1 GB 12 MB/s 59s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 350 MB/1.1 GB 12 MB/s 59s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 351 MB/1.1 GB 12 MB/s 59s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 353 MB/1.1 GB 12 MB/s 59s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 354 MB/1.1 GB 12 MB/s 59s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 355 MB/1.1 GB 12 MB/s 59s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 356 MB/1.1 GB 12 MB/s 59s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 358 MB/1.1 GB 12 MB/s 59s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 359 MB/1.1 GB 12 MB/s 59s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 360 MB/1.1 GB 12 MB/s 58s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 362 MB/1.1 GB 12 MB/s 58s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 362 MB/1.1 GB 12 MB/s 58s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 364 MB/1.1 GB 12 MB/s 58s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 365 MB/1.1 GB 12 MB/s 58s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 366 MB/1.1 GB 12 MB/s 58s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 368 MB/1.1 GB 12 MB/s 58s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 369 MB/1.1 GB 12 MB/s 58s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 370 MB/1.1 GB 12 MB/s 58s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 371 MB/1.1 GB 12 MB/s 58s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 373 MB/1.1 GB 12 MB/s 57s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 374 MB/1.1 GB 12 MB/s 57s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 375 MB/1.1 GB 12 MB/s 57s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 377 MB/1.1 GB 12 MB/s 57s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 378 MB/1.1 GB 12 MB/s 57s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 379 MB/1.1 GB 12 MB/s 57s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 381 MB/1.1 GB 12 MB/s 57s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 381 MB/1.1 GB 12 MB/s 57s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 383 MB/1.1 GB 12 MB/s 57s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 384 MB/1.1 GB 12 MB/s 57s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 385 MB/1.1 GB 12 MB/s 56s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 386 MB/1.1 GB 12 MB/s 56s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 388 MB/1.1 GB 12 MB/s 56s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 389 MB/1.1 GB 12 MB/s 56s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 390 MB/1.1 GB 12 MB/s 56s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 392 MB/1.1 GB 12 MB/s 56s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 393 MB/1.1 GB 12 MB/s 56s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 394 MB/1.1 GB 12 MB/s 56s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 396 MB/1.1 GB 12 MB/s 56s\u001b[?25h\n", + "pulling aabd4debf0c8... 36% ▕█████ ▏ 396 MB/1.1 GB 12 MB/s 56s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 398 MB/1.1 GB 12 MB/s 55s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 399 MB/1.1 GB 12 MB/s 55s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 400 MB/1.1 GB 12 MB/s 55s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 402 MB/1.1 GB 12 MB/s 55s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 403 MB/1.1 GB 12 MB/s 55s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 404 MB/1.1 GB 12 MB/s 55s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 405 MB/1.1 GB 12 MB/s 55s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 407 MB/1.1 GB 12 MB/s 55s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 408 MB/1.1 GB 12 MB/s 55s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 409 MB/1.1 GB 12 MB/s 55s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 411 MB/1.1 GB 12 MB/s 54s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 412 MB/1.1 GB 12 MB/s 54s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 413 MB/1.1 GB 12 MB/s 54s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 415 MB/1.1 GB 12 MB/s 54s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 415 MB/1.1 GB 12 MB/s 54s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 417 MB/1.1 GB 12 MB/s 54s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 418 MB/1.1 GB 12 MB/s 54s\u001b[?25h\n", + "pulling aabd4debf0c8... 38% ▕██████ ▏ 419 MB/1.1 GB 12 MB/s 54s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 421 MB/1.1 GB 12 MB/s 54s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 422 MB/1.1 GB 12 MB/s 54s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 423 MB/1.1 GB 12 MB/s 54s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 424 MB/1.1 GB 12 MB/s 53s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 426 MB/1.1 GB 12 MB/s 53s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 427 MB/1.1 GB 12 MB/s 53s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 428 MB/1.1 GB 12 MB/s 53s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 430 MB/1.1 GB 12 MB/s 53s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 430 MB/1.1 GB 12 MB/s 53s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 432 MB/1.1 GB 12 MB/s 53s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 433 MB/1.1 GB 12 MB/s 53s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 434 MB/1.1 GB 12 MB/s 53s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 436 MB/1.1 GB 12 MB/s 52s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 437 MB/1.1 GB 12 MB/s 52s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 437 MB/1.1 GB 12 MB/s 52s\u001b[?25h\n", + "pulling aabd4debf0c8... 39% ▕██████ ▏ 439 MB/1.1 GB 12 MB/s 52s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 441 MB/1.1 GB 12 MB/s 52s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 441 MB/1.1 GB 12 MB/s 52s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 443 MB/1.1 GB 12 MB/s 52s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 444 MB/1.1 GB 12 MB/s 52s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 445 MB/1.1 GB 12 MB/s 52s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 447 MB/1.1 GB 12 MB/s 52s\u001b[?25h\n", + "pulling aabd4debf0c8... 40% ▕██████ ▏ 448 MB/1.1 GB 12 MB/s 52s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 449 MB/1.1 GB 12 MB/s 52s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 450 MB/1.1 GB 12 MB/s 52s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 452 MB/1.1 GB 12 MB/s 51s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 453 MB/1.1 GB 12 MB/s 51s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 454 MB/1.1 GB 12 MB/s 51s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 456 MB/1.1 GB 12 MB/s 51s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 456 MB/1.1 GB 12 MB/s 51s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 458 MB/1.1 GB 12 MB/s 51s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 459 MB/1.1 GB 12 MB/s 51s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 460 MB/1.1 GB 12 MB/s 51s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 462 MB/1.1 GB 12 MB/s 51s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 463 MB/1.1 GB 12 MB/s 51s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 464 MB/1.1 GB 12 MB/s 50s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 466 MB/1.1 GB 12 MB/s 50s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 467 MB/1.1 GB 12 MB/s 50s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 468 MB/1.1 GB 12 MB/s 50s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 469 MB/1.1 GB 12 MB/s 50s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 471 MB/1.1 GB 12 MB/s 50s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 472 MB/1.1 GB 12 MB/s 50s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 473 MB/1.1 GB 12 MB/s 50s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 475 MB/1.1 GB 12 MB/s 50s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 475 MB/1.1 GB 12 MB/s 50s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 477 MB/1.1 GB 12 MB/s 49s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 478 MB/1.1 GB 12 MB/s 49s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 479 MB/1.1 GB 12 MB/s 49s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 481 MB/1.1 GB 12 MB/s 49s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 482 MB/1.1 GB 12 MB/s 49s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 483 MB/1.1 GB 12 MB/s 49s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 484 MB/1.1 GB 12 MB/s 49s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 486 MB/1.1 GB 12 MB/s 49s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 487 MB/1.1 GB 12 MB/s 49s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 488 MB/1.1 GB 12 MB/s 49s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 490 MB/1.1 GB 12 MB/s 48s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 490 MB/1.1 GB 12 MB/s 48s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 492 MB/1.1 GB 12 MB/s 48s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 493 MB/1.1 GB 12 MB/s 48s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 494 MB/1.1 GB 12 MB/s 48s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 496 MB/1.1 GB 12 MB/s 48s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 497 MB/1.1 GB 12 MB/s 48s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 498 MB/1.1 GB 12 MB/s 48s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 500 MB/1.1 GB 12 MB/s 48s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 501 MB/1.1 GB 12 MB/s 48s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 502 MB/1.1 GB 12 MB/s 48s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 503 MB/1.1 GB 12 MB/s 47s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 505 MB/1.1 GB 12 MB/s 47s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 506 MB/1.1 GB 12 MB/s 47s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 507 MB/1.1 GB 12 MB/s 47s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 509 MB/1.1 GB 12 MB/s 47s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 509 MB/1.1 GB 12 MB/s 47s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 511 MB/1.1 GB 12 MB/s 47s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 512 MB/1.1 GB 12 MB/s 47s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 513 MB/1.1 GB 12 MB/s 47s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 515 MB/1.1 GB 12 MB/s 47s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 516 MB/1.1 GB 12 MB/s 46s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 517 MB/1.1 GB 12 MB/s 46s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 518 MB/1.1 GB 12 MB/s 46s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 520 MB/1.1 GB 12 MB/s 46s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 521 MB/1.1 GB 12 MB/s 46s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 522 MB/1.1 GB 12 MB/s 46s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 524 MB/1.1 GB 12 MB/s 46s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 525 MB/1.1 GB 12 MB/s 46s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 526 MB/1.1 GB 12 MB/s 46s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 528 MB/1.1 GB 12 MB/s 46s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 528 MB/1.1 GB 12 MB/s 45s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 530 MB/1.1 GB 12 MB/s 45s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 531 MB/1.1 GB 12 MB/s 45s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 532 MB/1.1 GB 12 MB/s 45s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 534 MB/1.1 GB 12 MB/s 45s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 535 MB/1.1 GB 12 MB/s 45s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 536 MB/1.1 GB 12 MB/s 45s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 537 MB/1.1 GB 12 MB/s 45s\u001b[?25h\n", + "pulling aabd4debf0c8... 48% ▕███████ ▏ 539 MB/1.1 GB 12 MB/s 45s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 540 MB/1.1 GB 12 MB/s 45s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 541 MB/1.1 GB 12 MB/s 44s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 543 MB/1.1 GB 12 MB/s 44s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 543 MB/1.1 GB 12 MB/s 44s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 545 MB/1.1 GB 12 MB/s 44s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 546 MB/1.1 GB 12 MB/s 44s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 547 MB/1.1 GB 12 MB/s 44s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 549 MB/1.1 GB 12 MB/s 44s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 550 MB/1.1 GB 12 MB/s 44s\u001b[?25h\n", + "pulling aabd4debf0c8... 49% ▕███████ ▏ 551 MB/1.1 GB 12 MB/s 44s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 553 MB/1.1 GB 12 MB/s 44s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 554 MB/1.1 GB 12 MB/s 43s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 555 MB/1.1 GB 12 MB/s 43s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 556 MB/1.1 GB 12 MB/s 43s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 558 MB/1.1 GB 12 MB/s 43s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 559 MB/1.1 GB 12 MB/s 43s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 560 MB/1.1 GB 12 MB/s 43s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 562 MB/1.1 GB 12 MB/s 43s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 562 MB/1.1 GB 12 MB/s 43s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 564 MB/1.1 GB 12 MB/s 42s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 565 MB/1.1 GB 12 MB/s 42s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 565 MB/1.1 GB 12 MB/s 42s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 567 MB/1.1 GB 12 MB/s 42s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 569 MB/1.1 GB 12 MB/s 42s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 570 MB/1.1 GB 12 MB/s 42s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 571 MB/1.1 GB 12 MB/s 42s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 573 MB/1.1 GB 12 MB/s 42s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 573 MB/1.1 GB 12 MB/s 42s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 575 MB/1.1 GB 12 MB/s 42s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 576 MB/1.1 GB 12 MB/s 42s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 577 MB/1.1 GB 12 MB/s 42s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 579 MB/1.1 GB 12 MB/s 42s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 580 MB/1.1 GB 12 MB/s 41s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 581 MB/1.1 GB 12 MB/s 41s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 582 MB/1.1 GB 12 MB/s 41s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 584 MB/1.1 GB 12 MB/s 41s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 585 MB/1.1 GB 12 MB/s 41s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 586 MB/1.1 GB 12 MB/s 41s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 588 MB/1.1 GB 12 MB/s 41s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 588 MB/1.1 GB 12 MB/s 41s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 590 MB/1.1 GB 12 MB/s 41s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 591 MB/1.1 GB 12 MB/s 40s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 592 MB/1.1 GB 12 MB/s 40s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 594 MB/1.1 GB 12 MB/s 40s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 595 MB/1.1 GB 12 MB/s 40s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 596 MB/1.1 GB 12 MB/s 40s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 598 MB/1.1 GB 12 MB/s 40s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 599 MB/1.1 GB 12 MB/s 40s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 600 MB/1.1 GB 12 MB/s 40s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 601 MB/1.1 GB 12 MB/s 40s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 603 MB/1.1 GB 12 MB/s 40s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 604 MB/1.1 GB 12 MB/s 40s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 605 MB/1.1 GB 12 MB/s 39s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 607 MB/1.1 GB 12 MB/s 39s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 607 MB/1.1 GB 12 MB/s 39s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 609 MB/1.1 GB 12 MB/s 39s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 610 MB/1.1 GB 12 MB/s 39s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 611 MB/1.1 GB 12 MB/s 39s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 613 MB/1.1 GB 12 MB/s 39s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 614 MB/1.1 GB 12 MB/s 39s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 615 MB/1.1 GB 12 MB/s 39s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 616 MB/1.1 GB 12 MB/s 39s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 618 MB/1.1 GB 12 MB/s 38s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 619 MB/1.1 GB 12 MB/s 38s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 620 MB/1.1 GB 12 MB/s 38s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 622 MB/1.1 GB 12 MB/s 38s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 622 MB/1.1 GB 12 MB/s 38s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 624 MB/1.1 GB 12 MB/s 38s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 626 MB/1.1 GB 12 MB/s 38s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 626 MB/1.1 GB 12 MB/s 38s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 628 MB/1.1 GB 12 MB/s 38s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 629 MB/1.1 GB 12 MB/s 38s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 630 MB/1.1 GB 12 MB/s 37s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 632 MB/1.1 GB 12 MB/s 37s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 633 MB/1.1 GB 12 MB/s 37s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 634 MB/1.1 GB 12 MB/s 37s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 635 MB/1.1 GB 12 MB/s 37s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 637 MB/1.1 GB 12 MB/s 37s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 638 MB/1.1 GB 12 MB/s 37s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 639 MB/1.1 GB 12 MB/s 37s\u001b[?25h\n", + "pulling aabd4debf0c8... 57% ▕█████████ ▏ 641 MB/1.1 GB 12 MB/s 37s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 641 MB/1.1 GB 12 MB/s 37s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 643 MB/1.1 GB 12 MB/s 36s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 644 MB/1.1 GB 12 MB/s 36s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 645 MB/1.1 GB 12 MB/s 36s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 647 MB/1.1 GB 12 MB/s 36s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 648 MB/1.1 GB 12 MB/s 36s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 649 MB/1.1 GB 12 MB/s 36s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 650 MB/1.1 GB 12 MB/s 36s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 652 MB/1.1 GB 12 MB/s 36s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 653 MB/1.1 GB 12 MB/s 36s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 654 MB/1.1 GB 12 MB/s 36s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 656 MB/1.1 GB 12 MB/s 35s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 656 MB/1.1 GB 12 MB/s 35s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 658 MB/1.1 GB 12 MB/s 35s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 660 MB/1.1 GB 12 MB/s 35s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 660 MB/1.1 GB 12 MB/s 35s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 662 MB/1.1 GB 12 MB/s 35s\u001b[?25h\n", + "pulling aabd4debf0c8... 59% ▕█████████ ▏ 663 MB/1.1 GB 12 MB/s 35s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 664 MB/1.1 GB 12 MB/s 35s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 666 MB/1.1 GB 12 MB/s 35s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 667 MB/1.1 GB 12 MB/s 35s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 668 MB/1.1 GB 12 MB/s 35s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 669 MB/1.1 GB 12 MB/s 34s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 671 MB/1.1 GB 12 MB/s 34s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 672 MB/1.1 GB 12 MB/s 34s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 673 MB/1.1 GB 12 MB/s 34s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 675 MB/1.1 GB 12 MB/s 34s\u001b[?25h\n", + "pulling aabd4debf0c8... 60% ▕█████████ ▏ 675 MB/1.1 GB 12 MB/s 34s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 677 MB/1.1 GB 12 MB/s 34s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 678 MB/1.1 GB 12 MB/s 34s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 679 MB/1.1 GB 12 MB/s 34s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 681 MB/1.1 GB 12 MB/s 34s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 682 MB/1.1 GB 12 MB/s 33s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 683 MB/1.1 GB 12 MB/s 33s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 685 MB/1.1 GB 12 MB/s 33s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 686 MB/1.1 GB 12 MB/s 33s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 687 MB/1.1 GB 12 MB/s 33s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 688 MB/1.1 GB 12 MB/s 33s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 690 MB/1.1 GB 12 MB/s 33s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 691 MB/1.1 GB 12 MB/s 33s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 692 MB/1.1 GB 12 MB/s 33s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 693 MB/1.1 GB 12 MB/s 32s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 694 MB/1.1 GB 12 MB/s 32s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 695 MB/1.1 GB 12 MB/s 32s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 697 MB/1.1 GB 12 MB/s 32s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 698 MB/1.1 GB 12 MB/s 32s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 699 MB/1.1 GB 12 MB/s 32s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 701 MB/1.1 GB 12 MB/s 32s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 702 MB/1.1 GB 12 MB/s 32s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 703 MB/1.1 GB 12 MB/s 32s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 705 MB/1.1 GB 12 MB/s 32s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 705 MB/1.1 GB 12 MB/s 32s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 707 MB/1.1 GB 12 MB/s 32s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 708 MB/1.1 GB 12 MB/s 31s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 709 MB/1.1 GB 12 MB/s 31s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 711 MB/1.1 GB 12 MB/s 31s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 712 MB/1.1 GB 12 MB/s 31s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 713 MB/1.1 GB 12 MB/s 31s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 714 MB/1.1 GB 12 MB/s 31s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 716 MB/1.1 GB 12 MB/s 31s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 717 MB/1.1 GB 12 MB/s 31s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 718 MB/1.1 GB 12 MB/s 31s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 720 MB/1.1 GB 12 MB/s 30s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 721 MB/1.1 GB 12 MB/s 30s\u001b[?25h\n", + "pulling aabd4debf0c8... 65% ▕██████████ ▏ 722 MB/1.1 GB 12 MB/s 30s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 724 MB/1.1 GB 12 MB/s 30s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 724 MB/1.1 GB 12 MB/s 30s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 726 MB/1.1 GB 12 MB/s 30s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 727 MB/1.1 GB 12 MB/s 30s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 728 MB/1.1 GB 12 MB/s 30s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 730 MB/1.1 GB 12 MB/s 30s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 731 MB/1.1 GB 12 MB/s 30s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 732 MB/1.1 GB 12 MB/s 30s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 733 MB/1.1 GB 12 MB/s 29s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 735 MB/1.1 GB 12 MB/s 29s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 736 MB/1.1 GB 12 MB/s 29s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 737 MB/1.1 GB 12 MB/s 29s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 739 MB/1.1 GB 12 MB/s 29s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 739 MB/1.1 GB 12 MB/s 29s\u001b[?25h\n", + "pulling aabd4debf0c8... 66% ▕██████████ ▏ 741 MB/1.1 GB 12 MB/s 29s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 742 MB/1.1 GB 12 MB/s 29s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 743 MB/1.1 GB 12 MB/s 29s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 745 MB/1.1 GB 12 MB/s 29s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 746 MB/1.1 GB 12 MB/s 28s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 747 MB/1.1 GB 12 MB/s 28s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 748 MB/1.1 GB 12 MB/s 28s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 750 MB/1.1 GB 12 MB/s 28s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 751 MB/1.1 GB 12 MB/s 28s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 752 MB/1.1 GB 12 MB/s 28s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 754 MB/1.1 GB 12 MB/s 28s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 754 MB/1.1 GB 12 MB/s 28s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 756 MB/1.1 GB 12 MB/s 28s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 758 MB/1.1 GB 12 MB/s 28s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 758 MB/1.1 GB 12 MB/s 27s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 760 MB/1.1 GB 12 MB/s 27s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 761 MB/1.1 GB 12 MB/s 27s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 762 MB/1.1 GB 12 MB/s 27s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 764 MB/1.1 GB 12 MB/s 27s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 765 MB/1.1 GB 12 MB/s 27s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 766 MB/1.1 GB 12 MB/s 27s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 767 MB/1.1 GB 12 MB/s 27s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 769 MB/1.1 GB 12 MB/s 27s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 770 MB/1.1 GB 12 MB/s 27s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 771 MB/1.1 GB 12 MB/s 26s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 773 MB/1.1 GB 12 MB/s 26s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 773 MB/1.1 GB 12 MB/s 26s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 775 MB/1.1 GB 12 MB/s 26s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 776 MB/1.1 GB 12 MB/s 26s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 777 MB/1.1 GB 12 MB/s 26s\u001b[?25h\n", + "\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest 779 MB/1.1 GB 12 MB/s 26s\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 780 MB/1.1 GB 12 MB/s 26s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 781 MB/1.1 GB 12 MB/s 26s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 782 MB/1.1 GB 12 MB/s 26s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 784 MB/1.1 GB 12 MB/s 25s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 785 MB/1.1 GB 12 MB/s 25s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 786 MB/1.1 GB 12 MB/s 25s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 788 MB/1.1 GB 12 MB/s 25s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 789 MB/1.1 GB 12 MB/s 25s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 790 MB/1.1 GB 12 MB/s 25s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 792 MB/1.1 GB 12 MB/s 25s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 792 MB/1.1 GB 12 MB/s 25s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 794 MB/1.1 GB 12 MB/s 25s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 795 MB/1.1 GB 12 MB/s 25s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 796 MB/1.1 GB 12 MB/s 25s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 798 MB/1.1 GB 12 MB/s 24s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 799 MB/1.1 GB 12 MB/s 24s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 800 MB/1.1 GB 12 MB/s 24s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 801 MB/1.1 GB 12 MB/s 24s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 803 MB/1.1 GB 12 MB/s 24s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 804 MB/1.1 GB 12 MB/s 24s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 805 MB/1.1 GB 12 MB/s 24s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 807 MB/1.1 GB 12 MB/s 24s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 807 MB/1.1 GB 12 MB/s 24s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 809 MB/1.1 GB 12 MB/s 24s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 810 MB/1.1 GB 12 MB/s 23s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 811 MB/1.1 GB 12 MB/s 23s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 813 MB/1.1 GB 12 MB/s 23s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 814 MB/1.1 GB 12 MB/s 23s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 815 MB/1.1 GB 12 MB/s 23s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 817 MB/1.1 GB 12 MB/s 23s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 818 MB/1.1 GB 12 MB/s 23s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 819 MB/1.1 GB 12 MB/s 23s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 820 MB/1.1 GB 12 MB/s 23s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 821 MB/1.1 GB 12 MB/s 22s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 822 MB/1.1 GB 12 MB/s 22s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 823 MB/1.1 GB 12 MB/s 23s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 825 MB/1.1 GB 12 MB/s 22s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 825 MB/1.1 GB 12 MB/s 22s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 827 MB/1.1 GB 12 MB/s 22s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 828 MB/1.1 GB 12 MB/s 22s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 829 MB/1.1 GB 12 MB/s 22s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 831 MB/1.1 GB 12 MB/s 22s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 832 MB/1.1 GB 12 MB/s 22s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 833 MB/1.1 GB 12 MB/s 22s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 834 MB/1.1 GB 12 MB/s 22s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 836 MB/1.1 GB 12 MB/s 22s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 837 MB/1.1 GB 12 MB/s 21s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 838 MB/1.1 GB 12 MB/s 21s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 840 MB/1.1 GB 12 MB/s 21s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 841 MB/1.1 GB 12 MB/s 21s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 842 MB/1.1 GB 12 MB/s 21s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 844 MB/1.1 GB 12 MB/s 21s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 844 MB/1.1 GB 12 MB/s 21s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 846 MB/1.1 GB 12 MB/s 21s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 847 MB/1.1 GB 12 MB/s 21s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 848 MB/1.1 GB 12 MB/s 21s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 850 MB/1.1 GB 12 MB/s 20s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 851 MB/1.1 GB 12 MB/s 20s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 852 MB/1.1 GB 12 MB/s 20s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 853 MB/1.1 GB 12 MB/s 20s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 855 MB/1.1 GB 12 MB/s 20s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 856 MB/1.1 GB 12 MB/s 20s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 857 MB/1.1 GB 12 MB/s 20s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 859 MB/1.1 GB 12 MB/s 20s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 859 MB/1.1 GB 12 MB/s 20s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 861 MB/1.1 GB 12 MB/s 20s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 862 MB/1.1 GB 12 MB/s 19s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 863 MB/1.1 GB 12 MB/s 19s\u001b[?25h\n", + "pulling aabd4debf0c8... 77% ▕████████████ ▏ 865 MB/1.1 GB 12 MB/s 19s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 866 MB/1.1 GB 12 MB/s 19s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 867 MB/1.1 GB 12 MB/s 19s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 869 MB/1.1 GB 12 MB/s 19s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 870 MB/1.1 GB 12 MB/s 19s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 871 MB/1.1 GB 12 MB/s 19s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 872 MB/1.1 GB 12 MB/s 19s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 874 MB/1.1 GB 12 MB/s 19s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 875 MB/1.1 GB 12 MB/s 18s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 876 MB/1.1 GB 12 MB/s 18s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 878 MB/1.1 GB 12 MB/s 18s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 878 MB/1.1 GB 12 MB/s 18s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 880 MB/1.1 GB 12 MB/s 18s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 881 MB/1.1 GB 12 MB/s 18s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 882 MB/1.1 GB 12 MB/s 18s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 884 MB/1.1 GB 12 MB/s 18s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 885 MB/1.1 GB 12 MB/s 18s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 886 MB/1.1 GB 12 MB/s 18s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 887 MB/1.1 GB 12 MB/s 17s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 889 MB/1.1 GB 12 MB/s 17s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 890 MB/1.1 GB 12 MB/s 17s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 891 MB/1.1 GB 12 MB/s 17s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 893 MB/1.1 GB 12 MB/s 17s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 893 MB/1.1 GB 12 MB/s 17s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 895 MB/1.1 GB 12 MB/s 17s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 897 MB/1.1 GB 12 MB/s 17s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 897 MB/1.1 GB 12 MB/s 17s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 899 MB/1.1 GB 12 MB/s 17s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 900 MB/1.1 GB 12 MB/s 16s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 901 MB/1.1 GB 12 MB/s 16s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 903 MB/1.1 GB 12 MB/s 16s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 904 MB/1.1 GB 12 MB/s 16s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 905 MB/1.1 GB 12 MB/s 16s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ▏ 906 MB/1.1 GB 12 MB/s 16s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 908 MB/1.1 GB 12 MB/s 16s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 909 MB/1.1 GB 12 MB/s 16s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 910 MB/1.1 GB 12 MB/s 16s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 912 MB/1.1 GB 12 MB/s 16s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 912 MB/1.1 GB 12 MB/s 16s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 914 MB/1.1 GB 12 MB/s 15s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 915 MB/1.1 GB 12 MB/s 15s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 916 MB/1.1 GB 12 MB/s 15s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 918 MB/1.1 GB 12 MB/s 15s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 919 MB/1.1 GB 12 MB/s 15s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 920 MB/1.1 GB 12 MB/s 15s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 921 MB/1.1 GB 12 MB/s 15s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 923 MB/1.1 GB 12 MB/s 15s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 924 MB/1.1 GB 12 MB/s 15s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 925 MB/1.1 GB 12 MB/s 15s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 927 MB/1.1 GB 12 MB/s 14s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 928 MB/1.1 GB 12 MB/s 14s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 929 MB/1.1 GB 12 MB/s 14s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 931 MB/1.1 GB 12 MB/s 14s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 931 MB/1.1 GB 12 MB/s 14s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 933 MB/1.1 GB 12 MB/s 14s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 934 MB/1.1 GB 12 MB/s 14s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 935 MB/1.1 GB 12 MB/s 14s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 937 MB/1.1 GB 12 MB/s 14s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 938 MB/1.1 GB 12 MB/s 13s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 939 MB/1.1 GB 12 MB/s 13s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 940 MB/1.1 GB 12 MB/s 13s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 942 MB/1.1 GB 12 MB/s 13s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 943 MB/1.1 GB 12 MB/s 13s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 944 MB/1.1 GB 12 MB/s 13s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 946 MB/1.1 GB 12 MB/s 13s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 946 MB/1.1 GB 12 MB/s 13s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 948 MB/1.1 GB 12 MB/s 13s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 949 MB/1.1 GB 12 MB/s 12s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 950 MB/1.1 GB 12 MB/s 12s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 951 MB/1.1 GB 12 MB/s 12s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 953 MB/1.1 GB 12 MB/s 12s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 953 MB/1.1 GB 12 MB/s 12s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 955 MB/1.1 GB 12 MB/s 12s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 956 MB/1.1 GB 12 MB/s 12s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 957 MB/1.1 GB 12 MB/s 12s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 959 MB/1.1 GB 12 MB/s 12s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 960 MB/1.1 GB 12 MB/s 12s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 961 MB/1.1 GB 12 MB/s 12s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 962 MB/1.1 GB 12 MB/s 12s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 964 MB/1.1 GB 12 MB/s 11s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 965 MB/1.1 GB 12 MB/s 11s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 966 MB/1.1 GB 12 MB/s 11s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 968 MB/1.1 GB 12 MB/s 11s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 969 MB/1.1 GB 12 MB/s 11s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 970 MB/1.1 GB 12 MB/s 11s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 972 MB/1.1 GB 12 MB/s 11s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 972 MB/1.1 GB 12 MB/s 11s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 974 MB/1.1 GB 12 MB/s 11s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 975 MB/1.1 GB 12 MB/s 11s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest █ ▏ 976 MB/1.1 GB 12 MB/s 10s\u001b[?25h\n", + "pulling aabd4debf0c8... 88% ▕██████████████ ▏ 978 MB/1.1 GB 12 MB/s 10s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 979 MB/1.1 GB 12 MB/s 10s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 980 MB/1.1 GB 12 MB/s 10s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 981 MB/1.1 GB 12 MB/s 10s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 983 MB/1.1 GB 12 MB/s 10s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 984 MB/1.1 GB 12 MB/s 10s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 985 MB/1.1 GB 12 MB/s 10s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 987 MB/1.1 GB 12 MB/s 10s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 987 MB/1.1 GB 12 MB/s 10s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 989 MB/1.1 GB 12 MB/s 9s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 990 MB/1.1 GB 12 MB/s 9s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 991 MB/1.1 GB 12 MB/s 9s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 993 MB/1.1 GB 12 MB/s 9s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 994 MB/1.1 GB 12 MB/s 9s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 995 MB/1.1 GB 12 MB/s 9s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 996 MB/1.1 GB 12 MB/s 9s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 998 MB/1.1 GB 12 MB/s 9s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 999 MB/1.1 GB 12 MB/s 9s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 1.0 GB/1.1 GB 12 MB/s 9s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 1.0 GB/1.1 GB 12 MB/s 8s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 1.0 GB/1.1 GB 12 MB/s 8s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 1.0 GB/1.1 GB 12 MB/s 8s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 1.0 GB/1.1 GB 12 MB/s 8s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 1.0 GB/1.1 GB 12 MB/s 8s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 1.0 GB/1.1 GB 12 MB/s 8s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 1.0 GB/1.1 GB 12 MB/s 8s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 1.0 GB/1.1 GB 12 MB/s 8s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 1.0 GB/1.1 GB 12 MB/s 8s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 1.0 GB/1.1 GB 12 MB/s 8s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 1.0 GB/1.1 GB 12 MB/s 8s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 1.0 GB/1.1 GB 12 MB/s 7s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 1.0 GB/1.1 GB 12 MB/s 7s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 1.0 GB/1.1 GB 12 MB/s 7s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 1.0 GB/1.1 GB 12 MB/s 7s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 1.0 GB/1.1 GB 12 MB/s 7s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 1.0 GB/1.1 GB 12 MB/s 7s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 1.0 GB/1.1 GB 12 MB/s 7s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 1.0 GB/1.1 GB 12 MB/s 7s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 1.0 GB/1.1 GB 12 MB/s 7s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 1.0 GB/1.1 GB 12 MB/s 7s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 1.0 GB/1.1 GB 12 MB/s 6s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 1.0 GB/1.1 GB 12 MB/s 6s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 1.0 GB/1.1 GB 12 MB/s 6s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 1.0 GB/1.1 GB 12 MB/s 6s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 1.0 GB/1.1 GB 12 MB/s 6s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 1.0 GB/1.1 GB 12 MB/s 6s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 1.0 GB/1.1 GB 12 MB/s 6s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 1.0 GB/1.1 GB 12 MB/s 6s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 1.0 GB/1.1 GB 12 MB/s 6s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 1.0 GB/1.1 GB 12 MB/s 6s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 1.0 GB/1.1 GB 12 MB/s 5s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 1.0 GB/1.1 GB 12 MB/s 5s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 1.0 GB/1.1 GB 12 MB/s 5s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 1.0 GB/1.1 GB 12 MB/s 5s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ██ ▏ 1.0 GB/1.1 GB 12 MB/s 5s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.0 GB/1.1 GB 12 MB/s 5s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.0 GB/1.1 GB 12 MB/s 5s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 5s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 5s\u001b[?25h\n", + "pulling aabd4debf0c8... 94% ▕███████████████ ▏ 1.1 GB/1.1 GB 12 MB/s 5s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 4s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 4s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 4s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 4s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 4s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 4s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 4s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 4s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 4s\u001b[?25h\n", + "pulling aabd4debf0c8... 95% ▕███████████████ ▏ 1.1 GB/1.1 GB 12 MB/s 4s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 3s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 3s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 3s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 3s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 3s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 3s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 3s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 3s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 3s\u001b[?25h\n", + "pulling aabd4debf0c8... 96% ▕███████████████ ▏ 1.1 GB/1.1 GB 12 MB/s 3s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 3s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 3s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 2s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 2s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 2s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 2s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 2s\u001b[?25h\n", + "pulling aabd4debf0c8... 97% ▕███████████████ ▏ 1.1 GB/1.1 GB 12 MB/s 2s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 2s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 2s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 2s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 2s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 1s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 1s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 1s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 1s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 1s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 1s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 1s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 1s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 1s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 1s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 0s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 0s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 0s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 0s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 0s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 0s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 0s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 0s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 0s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 0s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 0s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ███ ▏ 1.1 GB/1.1 GB 12 MB/s 0s\u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ████▏ 1.1 GB \u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ████▏ 1.1 GB \u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ████▏ 1.1 GB \u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ████▏ 1.1 GB \u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ████▏ 1.1 GB \u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ████▏ 1.1 GB \u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ████▏ 1.1 GB \u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ████▏ 1.1 GB \u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ████▏ 1.1 GB \u001b[?25h\n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest ████▏ 1.1 GB \u001b[?25h\n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest B/ 387 B \u001b[?25h\n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest B/ 387 B \u001b[?25h\n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest B/ 387 B \u001b[?25h\n", + "pulling 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"\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest B \u001b[?25h\n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest B \u001b[?25h\n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest B \u001b[?25h\n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest B \u001b[?25h\n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest B \u001b[?25h\n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling 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+ "pulling 369ca498f347... 100% ▕████████████████▏ 387 B \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \u001b[?25h\n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "pulling 369ca498f347... 100% ▕████████████████▏ 387 B \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \u001b[?25h\n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "pulling 369ca498f347... 100% ▕████████████████▏ 387 B \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \u001b[?25h\n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "pulling 369ca498f347... 100% ▕████████████████▏ 387 B \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest 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"\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \u001b[?25h\n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "pulling 369ca498f347... 100% ▕████████████████▏ 387 B \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \u001b[?25h\n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "pulling 369ca498f347... 100% ▕████████████████▏ 387 B \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \u001b[?25h\n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "pulling 369ca498f347... 100% ▕████████████████▏ 387 B \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \u001b[?25h\n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "pulling 369ca498f347... 100% ▕████████████████▏ 387 B \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \u001b[?25h\n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "pulling 369ca498f347... 100% ▕████████████████▏ 387 B \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \u001b[?25h\n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "pulling 369ca498f347... 100% ▕████████████████▏ 387 B \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \u001b[?25h\n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "pulling 369ca498f347... 100% ▕████████████████▏ 387 B \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \u001b[?25h\n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "pulling 369ca498f347... 100% ▕████████████████▏ 387 B \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \u001b[?25h\n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "pulling 369ca498f347... 100% ▕████████████████▏ 387 B \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \u001b[?25h\n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "pulling 369ca498f347... 100% ▕████████████████▏ 387 B \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \u001b[?25h\n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "pulling 369ca498f347... 100% ▕████████████████▏ 387 B \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \u001b[?25h\n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "pulling 369ca498f347... 100% ▕████████████████▏ 387 B \n", + "pulling 6e4c38e1172f... 100% ▕████████████████▏ 1.1 KB \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \u001b[?25h\n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "pulling 369ca498f347... 100% ▕████████████████▏ 387 B \n", + "pulling 6e4c38e1172f... 100% ▕████████████████▏ 1.1 KB \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \u001b[?25h\n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "pulling 369ca498f347... 100% ▕████████████████▏ 387 B \n", + "pulling 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"pulling 369ca498f347... 100% ▕████████████████▏ 387 B \n", + "pulling 6e4c38e1172f... 100% ▕████████████████▏ 1.1 KB \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \u001b[?25h\n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "pulling 369ca498f347... 100% ▕████████████████▏ 387 B \n", + "pulling 6e4c38e1172f... 100% ▕████████████████▏ 1.1 KB \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \u001b[?25h\n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "pulling 369ca498f347... 100% ▕████████████████▏ 387 B \n", + "pulling 6e4c38e1172f... 100% ▕████████████████▏ 1.1 KB \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest 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"\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \u001b[?25h\n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "pulling 369ca498f347... 100% ▕████████████████▏ 387 B \n", + "pulling 6e4c38e1172f... 100% ▕████████████████▏ 1.1 KB \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \u001b[?25h\n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "pulling 369ca498f347... 100% ▕████████████████▏ 387 B \n", + "pulling 6e4c38e1172f... 100% ▕████████████████▏ 1.1 KB \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \u001b[?25h\n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "pulling 369ca498f347... 100% ▕████████████████▏ 387 B 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"\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "pulling 369ca498f347... 100% ▕████████████████▏ 387 B \n", + "pulling 6e4c38e1172f... 100% ▕████████████████▏ 1.1 KB \n", + "pulling f4d24e9138dd... 100% ▕████████████████▏ 148 B \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "pulling 369ca498f347... 100% ▕████████████████▏ 387 B \n", + "pulling 6e4c38e1172f... 100% ▕████████████████▏ 1.1 KB \n", + "pulling f4d24e9138dd... 100% ▕████████████████▏ 148 B \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "pulling 369ca498f347... 100% ▕████████████████▏ 387 B \n", + "pulling 6e4c38e1172f... 100% ▕████████████████▏ 1.1 KB \n", + "pulling f4d24e9138dd... 100% ▕████████████████▏ 148 B \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "pulling 369ca498f347... 100% ▕████████████████▏ 387 B \n", + "pulling 6e4c38e1172f... 100% ▕████████████████▏ 1.1 KB \n", + "pulling f4d24e9138dd... 100% ▕████████████████▏ 148 B \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "pulling 369ca498f347... 100% ▕████████████████▏ 387 B \n", + "pulling 6e4c38e1172f... 100% ▕████████████████▏ 1.1 KB \n", + "pulling f4d24e9138dd... 100% ▕████████████████▏ 148 B \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "pulling 369ca498f347... 100% ▕████████████████▏ 387 B \n", + "pulling 6e4c38e1172f... 100% ▕████████████████▏ 1.1 KB \n", + "pulling f4d24e9138dd... 100% ▕████████████████▏ 148 B \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "pulling 369ca498f347... 100% ▕████████████████▏ 387 B \n", + "pulling 6e4c38e1172f... 100% ▕████████████████▏ 1.1 KB \n", + "pulling f4d24e9138dd... 100% ▕████████████████▏ 148 B \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "pulling 369ca498f347... 100% ▕████████████████▏ 387 B \n", + "pulling 6e4c38e1172f... 100% ▕████████████████▏ 1.1 KB \n", + "pulling f4d24e9138dd... 100% ▕████████████████▏ 148 B \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "pulling 369ca498f347... 100% ▕████████████████▏ 387 B \n", + "pulling 6e4c38e1172f... 100% ▕████████████████▏ 1.1 KB \n", + "pulling f4d24e9138dd... 100% ▕████████████████▏ 148 B \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "pulling 369ca498f347... 100% ▕████████████████▏ 387 B \n", + "pulling 6e4c38e1172f... 100% ▕████████████████▏ 1.1 KB \n", + "pulling f4d24e9138dd... 100% ▕████████████████▏ 148 B \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "pulling 369ca498f347... 100% ▕████████████████▏ 387 B \n", + "pulling 6e4c38e1172f... 100% ▕████████████████▏ 1.1 KB \n", + "pulling f4d24e9138dd... 100% ▕████████████████▏ 148 B \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "pulling 369ca498f347... 100% ▕████████████████▏ 387 B \n", + "pulling 6e4c38e1172f... 100% ▕████████████████▏ 1.1 KB \n", + "pulling f4d24e9138dd... 100% ▕████████████████▏ 148 B \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "pulling 369ca498f347... 100% ▕████████████████▏ 387 B \n", + "pulling 6e4c38e1172f... 100% ▕████████████████▏ 1.1 KB \n", + "pulling f4d24e9138dd... 100% ▕████████████████▏ 148 B \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "pulling 369ca498f347... 100% ▕████████████████▏ 387 B \n", + "pulling 6e4c38e1172f... 100% ▕████████████████▏ 1.1 KB \n", + "pulling f4d24e9138dd... 100% ▕████████████████▏ 148 B \n", + "pulling a85fe2a2e58e... 100% ▕████████████████▏ 487 B \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "pulling 369ca498f347... 100% ▕████████████████▏ 387 B \n", + "pulling 6e4c38e1172f... 100% ▕████████████████▏ 1.1 KB \n", + "pulling f4d24e9138dd... 100% ▕████████████████▏ 148 B \n", + "pulling a85fe2a2e58e... 100% ▕████████████████▏ 487 B \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "pulling 369ca498f347... 100% ▕████████████████▏ 387 B \n", + "pulling 6e4c38e1172f... 100% ▕████████████████▏ 1.1 KB \n", + "pulling f4d24e9138dd... 100% ▕████████████████▏ 148 B \n", + "pulling 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100% ▕████████████████▏ 148 B \n", + "pulling a85fe2a2e58e... 100% ▕████████████████▏ 487 B \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "pulling 369ca498f347... 100% ▕████████████████▏ 387 B \n", + "pulling 6e4c38e1172f... 100% ▕████████████████▏ 1.1 KB \n", + "pulling f4d24e9138dd... 100% ▕████████████████▏ 148 B \n", + "pulling a85fe2a2e58e... 100% ▕████████████████▏ 487 B \n", + "\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n", + "pulling aabd4debf0c8... 100% ▕████████████████▏ 1.1 GB \n", + "pulling 369ca498f347... 100% ▕████████████████▏ 387 B \n", + "pulling 6e4c38e1172f... 100% ▕████████████████▏ 1.1 KB \n", + "pulling f4d24e9138dd... 100% ▕████████████████▏ 148 B \n", + "pulling a85fe2a2e58e... 100% ▕████████████████▏ 487 B \n", + "verifying sha256 digest \n", + "writing manifest \n", + "success \u001b[?25h\n" + ] + } + ], + "source": [ + "!ollama pull deepseek-r1:1.5b" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "1d3d554b-e00d-4c08-9300-45e073950a76", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Okay, so I'm trying to understand the basics that keep me from getting stuck on understanding large language models like those created by OpenAI. The user mentioned three core concepts: neural networks, attention, and transformers. I think I get the basics of each one separately, but when they come together in an LLM, it's a bit confusing.\n", + "\n", + "Let me start with neural networks because that seems straightforward. From what I remember, a neural network is like a multi-layered system inspired by the human brain. Each layer has nodes called neurons that process information through connections between them. These layers can learn various representations from data and form non-linear functions to solve complex problems. So, in an LLM, each model might have multiple layers that transform input text into useful patterns.\n", + "\n", + "Okay, attention comes next. I know it's about how models focus on specific parts of the input. It seems like for an LLM to be effective, every part of its text needs to know what other parts are most relevant. The \" attending position\" idea makes sense—each word doesn't need to look at every word in the sentence if none is as important. So attention allows models to weigh the importance of different input features and focus where they matter.\n", + "\n", + "Now, transformers. I've heard a lot about this, but I'm not fully clear on the specifics. From previous knowledge, transformers don't have traditional layers like CNNs or RNNs. Instead, they process input through multiple layers at once using self-attention mechanisms. So the key feature here must be that models can look at all positions in the model's output earlier than just the input or using other encodings.\n", + "\n", + "I'm still a bit fuzzy on how exactly these three components create deep understanding of text. Maybe it has to do with each piece of information being processed along with its context, allowing for context-dependent processing. That would mean that models not only encode the raw data but also figure out the relationships between different tokens or words. This interaction in higher dimensions might allow LLMs to generate coherent and contextual responses.\n", + "\n", + "Wait, I recall something about attention mechanisms allowing model self-attention where each element of the input and output interact. So over multiple layers, each layer processes the transformed information again with new attention patterns. That way, every part of the text is considered in different positions across various depths, creating a more sophisticated representation from which to generate outputs.\n", + "\n", + "Putting it all together, without these neural networks processing at multiple levels, self-attention in transformers enabling focused interactions, and context through attention weights, LLMs can capture deeper relationships. This interplay would allow them to understand and reason about texts on a much higher level than simpler models. That's probably why newer models like GPT-3 and its variants have pushed these boundaries, allowing more sophisticated and nuanced interactions.\n", + "\n", + "But I'm still unclear on the exact mechanisms, what makes a layer deep, and how all of this ties into human-like thinking. Maybe it's about each layer refining the representations so that they can be processed together in layers with multiple attention heads or varying depths, allowing for more complex processing across different scales. That would mean layers don't just process information sequentially but look at multiple dimensions simultaneously, creating a highly interconnected and multi-level representation system.\n", + "\n", + "I think I need to review some core components of neural networks, such as the basic architecture (feedforward vs recurrent), how attention functions operate, and how transformers handle parallel computation in their layers. Also, maybe consider what each layer does: for example, different depths might mean more layers of processing, each layer refining the context-based understanding.\n", + "\n", + "Additionally, considering memory mechanisms like self-attention allowing models to attend to all input parts, even if they're not directly connected. This seems key because without that ability, higher-level patterns wouldn't form in a text's output as effectively. So attention helps create a more global or relational view.\n", + "\n", + "I'm also vaguely remembering something about positional encoding in transformers, which allows models to encode the position information of each word token. Without this, models might not know how far back a word should look when processing it, making context-based understanding less efficient. So the presence of both self-attention and positional encoding would give them an encoded space where tokens can be processed with attention patterns derived from their positions.\n", + "\n", + "In summary, neural networks provide the foundational building blocks through layers that process data into features. Attention allows each part to focus on relevant contexts, while transformers' parallel layers create a hierarchical representation system based on self-attention over different depths and perspectives. Together, these components enable models to understand text in a way that incorporates context, relationships, and higher-dimensional interactions.\n", + "\n", + "\n", + "The core concepts behind large language models (LLMs), particularly neural networks, attention, and transformers, are interconnected to facilitate their ability to process and understand vast amounts of textual data. Here's an organized summary:\n", + "\n", + "1. **Neural Networks:**\n", + " - **Layers, Nodes, and Weights:** Neural networks consist of multiple layers that mimic the brain's structure. Each layer includes nodes (neurons) that compute transformations using connections between others, enabling nonlinear function approximation.\n", + " - These layers can learn representations from data, forming patterns that are beneficial for complex problem-solving.\n", + "\n", + "2. **Attention Mechanism:**\n", + " - Focuses on identifying and prioritizing specific parts of the input text. For an LLM to be effective, each part must attend selectively to others, allowing models to weigh information based on relevance.\n", + " - This feature enables a more nuanced understanding by incorporating context during processing.\n", + "\n", + "3. **Transformers:**\n", + " - Execute in self-attentional layers, where each layer processes encoded data through interactions that include multiple perspectives without sequential dependency.\n", + " - Key features: parallel computation and the creation of multi-level representations based on input positions.\n", + "\n", + "4. **Interplay Between Components:**\n", + " - Combines neural networks' layered processing with attention's context-sensitive focus.\n", + " - Transformers enhance this by enabling layers to co-process information across multiple depths, allowing for sophisticated context-aware learning.\n", + "\n", + "5. **Model Capabilities:**\n", + " - Models generate coherent and contextual responses by integrating context and relationship insights in a multi-dimensional space.\n", + " - Without proper mechanisms like positional encoding (in transformers), context inference might be limited.\n", + "\n", + "6. **Positional Encoding:**\n", + " - Aids models by embedding each token's position, enabling the system to process tokens considering their textual context when computing embeddings.\n", + "\n", + "Together, these components form a system where neural networks layer processes data, attention enables selective focus, and transformers provide hierarchical representation creation via self-attention across depths, allowing LLMs to perform deep and context-aware understanding.\n" + ] + } + ], + "source": [ + "# This may take a few minutes to run! You should then see a fascinating \"thinking\" trace inside tags, followed by some decent definitions\n", + "\n", + "response = ollama_via_openai.chat.completions.create(\n", + " model=\"deepseek-r1:1.5b\",\n", + " messages=[{\"role\": \"user\", \"content\": \"Please give definitions of some core concepts behind LLMs: a neural network, attention and the transformer\"}]\n", + ")\n", + "\n", + "print(response.choices[0].message.content)" + ] + }, + { + "cell_type": "markdown", + "id": "1622d9bb-5c68-4d4e-9ca4-b492c751f898", + "metadata": {}, + "source": [ + "# NOW the exercise for you\n", + "\n", + "Take the code from day1 and incorporate it here, to build a website summarizer that uses Llama 3.2 running locally instead of OpenAI; use either of the above approaches." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "6de38216-6d1c-48c4-877b-86d403f4e0f8", + "metadata": {}, + "outputs": [], + "source": [ + "import requests\n", + "from bs4 import BeautifulSoup\n", + "from IPython.display import Markdown, display\n", + "import ollama" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "88d5d02f-7787-4699-95a8-7332939c2dec", + "metadata": {}, + "outputs": [], + "source": [ + "MODEL = \"llama3.2\"" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "0f6b9704-0c6d-4eae-926a-ff626cf68174", + "metadata": {}, + "outputs": [], + "source": [ + "class Website:\n", + " url: str\n", + " title: str\n", + " text: str\n", + " def __init__(self, url):\n", + " self.url = url\n", + " response = requests.get(url)\n", + " soup = BeautifulSoup(response.content, 'html.parser')\n", + " self.title = soup.title.string if soup.title else \"No title found\"\n", + " for irrelevant in soup.body([\"script\", \"style\", \"img\", \"input\"]):\n", + " irrelevant.decompose()\n", + " self.text = soup.body.get_text(separator=\"\\n\", strip=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "b46ba06c-a8fe-4a79-b331-e0f7ffdb72f9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'print(st.title)\\nprint(st.text)'" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "st = Website(\"https://industrywaala.com/\")\n", + "\"\"\"print(st.title)\n", + "print(st.text)\"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "e36e0788-be78-4dc0-8310-c0fd3e059f93", + "metadata": {}, + "outputs": [], + "source": [ + "system_prompt = \"\"\"you are an AI to a salesperson working in the field of industrial tools and hardware. You have the following roles:\\\n", + "1. identify and understand the scenario the customer is describing.\\\n", + "2. figure what caregory of products are suitable for use in the scenario.\\\n", + "3. search the website mentioned in the user prompt for the category of products you identified in 2. and then look for 2 products in that\\\n", + "category that you think will be most suitable in the given use case. for this you need to check for product features provided in\\\n", + "the short and long descriptions on the website that are applicable in the scenario.\\\n", + "4. make a summary of the two products with the brand name, model and 2 other key features of the product\\\n", + "5. always respond in markdown.\n", + "\"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "8e3b28b7-687a-43e3-a392-97278ba16b0c", + "metadata": {}, + "outputs": [], + "source": [ + "def user_prompt_for(website):\n", + " user_prompt = f\"You are looking at a website titled {website.title}\"\n", + " user_prompt += \"\"\"can you help figure what model of product should i use in high temperature \\\n", + " environemt. \\n\\n\"\"\"\n", + " user_prompt += website.text\n", + " return user_prompt" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "447a5bac-398f-444b-9c4b-917e682ce1f4", + "metadata": {}, + "outputs": [], + "source": [ + "def messages_for(website):\n", + " return [\n", + " {\"role\": \"system\", \"content\": system_prompt},\n", + " {\"role\": \"user\", \"content\": user_prompt_for(website)}\n", + " ]" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "ede69fe6-6007-4632-9625-c4a7aed227d5", + "metadata": {}, + "outputs": [], + "source": [ + "def summarize(url):\n", + " website = Website(url)\n", + " messages = messages_for(website)\n", + " response = ollama.chat(model=MODEL, messages=messages)\n", + " return response['message']['content']" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "2c7f6fec-2a78-433f-873d-ec13bfde1117", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "\"This is a multi-post advertisement for various products from Industrywaala, an online store that sells industrial goods at wholesale prices. The posts are designed to promote specific products and offer incentives to customers.\\n\\nHere's a summary of the posts:\\n\\n**Post 1: Bosch Professional 18V Brushless Impact Drill**\\n\\n* Features: compact and lightweight, powerful brushless motor, dual speed gears, 20 torque settings, LED light\\n* Benefits: ideal for professionals who need a reliable and efficient drill for various tasks\\n* Call-to-action: visit the website or call +91 7377 01 7377 to purchase\\n\\n**Post 2: Bosch GDS 18V-1050 H Cordless Impact Driver**\\n\\n* Features: high power with cordless freedom, ProCORE 18V batteries and brushless motor, 3-speed/torque settings\\n* Benefits: ideal for versatility and controlled power in various applications\\n* Call-to-action: visit the website or call +91 7377 01 7377 to purchase\\n\\n**Post 3: Warmex Carbon Fiber Room Heater**\\n\\n* Features: dual power modes, energy efficient, carbon fiber technology, compact and portable\\n* Benefits: perfect for winter comfort and coziness\\n* Call-to-action: visit the website or call +91 7377 01 7377 to purchase\\n\\n**About Industrywaala**\\n\\n* Introduction: Industrywaala is an online store that sells industrial goods at wholesale prices.\\n* Mission: simplify procurement process for businesses of all sizes and make it easier to find and purchase products needed.\\n* Call-to-action: follow them on social media or visit their website to place an order.\\n\\nThe posts aim to target professionals, businesses, and individuals who need industrial goods for various purposes. The ads promote specific products with key features and benefits, while also highlighting the company's mission and services.\"" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "summarize(\"https://industrywaala.com/\")" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "d9588524-e132-452a-bf96-1c9f59afa61a", + "metadata": {}, + "outputs": [], + "source": [ + "def display_summary(url):\n", + " summary = summarize(url)\n", + " display(Markdown(summary))" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "243f78ed-fc2e-47a9-ad8a-ae83613f9d07", + "metadata": {}, + "outputs": [ + { + "data": { + "text/markdown": [ + "This is a promotional content for a power tool company, specifically highlighting their 18V brushless impact drill. The content includes:\n", + "\n", + "1. Key features of the product:\n", + "\t* Compact and lightweight design\n", + "\t* Powerful brushless motor with longer life and higher performance\n", + "\t* Dual speed gears for precision and speed control\n", + "\t* 20 torque settings for tailored control\n", + "\t* LED light for illuminating dark work areas\n", + "2. Taglines and hashtags used to promote the product:\n", + "\t* \"Drilling Made Easy\"\n", + "\t* \"#BoschProfessional #CordlessDrills #PowerTools\"\n", + "3. Social media links:\n", + "\t* Visit their website: industrywaala.com\n", + "\t* Call now for more information: +91 7377 01 7377\n", + "4. Additional content showcasing other products from the company, such as:\n", + "\t* Bosch GSB 183-LI Professional cordless impact drill\n", + "\t* Warmex Carbon Fiber Room Heater\n", + "\n", + "The tone of the content is promotional and sales-oriented, with an emphasis on highlighting the key features and benefits of the product. The language used is concise and easy to understand, making it accessible to a wide audience.\n", + "\n", + "Some potential suggestions for improvement:\n", + "\n", + "1. Consider adding more detailed product specifications or technical data to help customers make informed purchasing decisions.\n", + "2. Include customer testimonials or reviews to build trust and credibility with potential buyers.\n", + "3. Offer promotions, discounts, or special offers to incentivize sales and drive conversions.\n", + "4. Use eye-catching visuals, such as images or videos, to showcase the product in action and demonstrate its capabilities.\n", + "\n", + "Overall, the content effectively promotes the product and highlights its key features and benefits, but could benefit from additional details and supporting materials to make it more compelling and persuasive for potential customers." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "display_summary(\"https://industrywaala.com/\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9bf7264f-6018-4b64-8251-b0ea22732ad3", + "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": "3.11.11" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}