{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## Welcome to the Second Lab - Week 1, Day 3\n", "\n", "Today we will work with lots of models! This is a way to get comfortable with APIs." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", " \n", " \n", " \n", " \n", "
\n", " \n", " \n", "

Important point - please read

\n", " The way I collaborate with you may be different to other courses you've taken. I prefer not to type code while you watch. Rather, I execute Jupyter Labs, like this, and give you an intuition for what's going on. My suggestion is that you carefully execute this yourself, after watching the lecture. Add print statements to understand what's going on, and then come up with your own variations.

If you have time, I'd love it if you submit a PR for changes in the community_contributions folder - instructions in the resources. Also, if you have a Github account, use this to showcase your variations. Not only is this essential practice, but it demonstrates your skills to others, including perhaps future clients or employers...\n", " \n", "
" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "# Start with imports - ask ChatGPT to explain any package that you don't know\n", "\n", "import os\n", "import json\n", "from dotenv import load_dotenv\n", "from openai import OpenAI\n", "from anthropic import Anthropic\n", "from IPython.display import Markdown, display" ] }, { "cell_type": "markdown", "metadata": {}, "source": [] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "True" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Always remember to do this!\n", "load_dotenv(override=True)" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "OpenAI API Key exists and begins sk-proj-\n", "Anthropic API Key not set (and this is optional)\n", "Google API Key not set (and this is optional)\n", "DeepSeek API Key not set (and this is optional)\n", "Groq API Key not set (and this is optional)\n" ] } ], "source": [ "# Print the key prefixes to help with any debugging\n", "\n", "openai_api_key = os.getenv('OPENAI_API_KEY')\n", "anthropic_api_key = os.getenv('ANTHROPIC_API_KEY')\n", "google_api_key = os.getenv('GOOGLE_API_KEY')\n", "deepseek_api_key = os.getenv('DEEPSEEK_API_KEY')\n", "groq_api_key = os.getenv('GROQ_API_KEY')\n", "\n", "if openai_api_key:\n", " print(f\"OpenAI API Key exists and begins {openai_api_key[:8]}\")\n", "else:\n", " print(\"OpenAI API Key not set\")\n", " \n", "if anthropic_api_key:\n", " print(f\"Anthropic API Key exists and begins {anthropic_api_key[:7]}\")\n", "else:\n", " print(\"Anthropic API Key not set (and this is optional)\")\n", "\n", "if google_api_key:\n", " print(f\"Google API Key exists and begins {google_api_key[:2]}\")\n", "else:\n", " print(\"Google API Key not set (and this is optional)\")\n", "\n", "if deepseek_api_key:\n", " print(f\"DeepSeek API Key exists and begins {deepseek_api_key[:3]}\")\n", "else:\n", " print(\"DeepSeek API Key not set (and this is optional)\")\n", "\n", "if groq_api_key:\n", " print(f\"Groq API Key exists and begins {groq_api_key[:4]}\")\n", "else:\n", " print(\"Groq API Key not set (and this is optional)\")" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "request = \"Please come up with a challenging, nuanced question that I can ask a number of LLMs to evaluate their intelligence. \"\n", "request += \"Answer only with the question, no explanation.\"\n", "messages = [{\"role\": \"user\", \"content\": request}]" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[{'role': 'user',\n", " 'content': 'Please come up with a challenging, nuanced question that I can ask a number of LLMs to evaluate their intelligence. Answer only with the question, no explanation.'}]" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "messages" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "How would you approach designing a system to fairly allocate limited resources among competing societal needs, considering ethical implications, potential biases, and the long-term effects on different communities?\n" ] } ], "source": [ "openai = OpenAI()\n", "response = openai.chat.completions.create(\n", " model=\"gpt-4o-mini\",\n", " messages=messages,\n", ")\n", "question = response.choices[0].message.content\n", "print(question)\n" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "competitors = []\n", "answers = []\n", "messages = [{\"role\": \"user\", \"content\": question}]" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/markdown": [ "Designing a system for the fair allocation of limited resources among competing societal needs is a complex task that involves multiple ethical, social, and practical considerations. Here’s an approach to structuring such a system:\n", "\n", "### 1. Define Objectives and Principles\n", "\n", "**a. Establish Clear Goals:** Start by defining what the system aims to achieve. Is the priority maximizing overall well-being, ensuring equity, protecting vulnerable populations, or encouraging sustainable practices?\n", "\n", "**b. Ethical Frameworks:** Ground the allocation system in ethical principles, such as:\n", "- **Justice:** Ensure fair treatment and equitable distribution.\n", "- **Utility:** Aim for the greatest good for the greatest number.\n", "- **Need:** Prioritize those with the greatest need.\n", "- **Participation:** Involve stakeholders in decision-making processes.\n", "\n", "### 2. Stakeholder Engagement\n", "\n", "**a. Inclusivity:** Bring together a diverse group of stakeholders, including community representatives, experts, policymakers, and marginalized groups. This diversity will help ensure that different perspectives are addressed.\n", "\n", "**b. Participatory Design:** Develop mechanisms for incorporating stakeholder feedback into the design and governance of the system. This could involve deliberative polls, town hall meetings, or focus groups.\n", "\n", "### 3. Data Collection and Analysis\n", "\n", "**a. Comprehensive Data Gathering:** Use quantitative and qualitative data to understand the needs, challenges, and potential impacts of resource allocation decisions. This could include demographic data, socioeconomic indicators, and community feedback.\n", "\n", "**b. Identify Biases:** Analyze data for biases that might affect resource allocation (e.g., historical inequities, discrimination). Use statistical methods to adjust for these biases.\n", "\n", "### 4. Methodological Framework for Allocation\n", "\n", "**a. Developing Criteria for Allocation:** Create a transparent set of criteria for prioritizing resource distribution. For instance:\n", "- Severity of need\n", "- Potential for impact\n", "- Return on investment (not just financially, but in social terms)\n", "- Long-term sustainability\n", "\n", "**b. Algorithmic Approaches:** If using algorithms for allocation:\n", "- Ensure they are explainable and accountable.\n", "- Continually test for biases and correct them.\n", "- Allow human oversight in critical decisions.\n", "\n", "### 5. Allocation Model Implementation\n", "\n", "**a. Pilot Programs:** Implement pilot programs to test the allocation system in smaller communities before broader application. This will allow for adjustments based on real-world outcomes.\n", "\n", "**b. Adaptive Management:** Build in mechanisms for continual assessment and adjustment of the allocation model based on feedback and changing societal conditions.\n", "\n", "### 6. Transparency and Accountability\n", "\n", "**a. Open Communication:** Provide clear, accessible information about how decisions are made, the criteria used, and the outcomes of resource allocations.\n", "\n", "**b. Oversight Mechanisms:** Establish independent review boards or stakeholder oversight committees to monitor the allocation process and address any grievances.\n", "\n", "### 7. Monitor and Evaluate Long-Term Effects\n", "\n", "**a. Longitudinal Studies:** Conduct studies to assess the long-term effects of resource allocation on different communities. Evaluations should consider social, economic, health, and environmental impacts.\n", "\n", "**b. Feedback Loops:** Create mechanisms for ongoing stakeholder feedback and incorporate this feedback into future decision-making processes.\n", "\n", "### 8. Ethical Reflection and Iteration\n", "\n", "**a. Continuous Ethical Review:** Regularly review the ethical implications of your allocation system. Engage ethicists to consider whether the system is serving its intended goals and to reflect on potential unintended consequences.\n", "\n", "**b. Iterative Improvements:** Be prepared to iterate on the framework based on new findings, societal changes, and emerging needs.\n", "\n", "### Conclusion\n", "\n", "In approaching the design of a resource allocation system, it is essential to prioritize fairness, inclusivity, and responsiveness to the needs of diverse communities. This requires not only a robust analytical framework to guide decision-making but also a commitment to ethical practices and ongoing engagement with affected populations. By doing so, we can work toward solutions that not only address immediate needs but also promote long-term equity and sustainability." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# The API we know well\n", "\n", "model_name = \"gpt-4o-mini\"\n", "\n", "response = openai.chat.completions.create(model=model_name, messages=messages)\n", "answer = response.choices[0].message.content\n", "\n", "display(Markdown(answer))\n", "competitors.append(model_name)\n", "answers.append(answer)" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "ename": "TypeError", "evalue": "\"Could not resolve authentication method. Expected either api_key or auth_token to be set. Or for one of the `X-Api-Key` or `Authorization` headers to be explicitly omitted\"", "output_type": "error", "traceback": [ "\u001b[31m---------------------------------------------------------------------------\u001b[39m", "\u001b[31mTypeError\u001b[39m Traceback (most recent call last)", "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[11]\u001b[39m\u001b[32m, line 6\u001b[39m\n\u001b[32m 3\u001b[39m model_name = \u001b[33m\"\u001b[39m\u001b[33mclaude-3-7-sonnet-latest\u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m 5\u001b[39m claude = Anthropic()\n\u001b[32m----> \u001b[39m\u001b[32m6\u001b[39m response = \u001b[43mclaude\u001b[49m\u001b[43m.\u001b[49m\u001b[43mmessages\u001b[49m\u001b[43m.\u001b[49m\u001b[43mcreate\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m=\u001b[49m\u001b[43mmodel_name\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmessages\u001b[49m\u001b[43m=\u001b[49m\u001b[43mmessages\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmax_tokens\u001b[49m\u001b[43m=\u001b[49m\u001b[32;43m1000\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[32m 7\u001b[39m answer = response.content[\u001b[32m0\u001b[39m].text\n\u001b[32m 9\u001b[39m display(Markdown(answer))\n", "\u001b[36mFile \u001b[39m\u001b[32m~/Projects/agents/.venv/lib/python3.12/site-packages/anthropic/_utils/_utils.py:283\u001b[39m, in \u001b[36mrequired_args..inner..wrapper\u001b[39m\u001b[34m(*args, **kwargs)\u001b[39m\n\u001b[32m 281\u001b[39m msg = \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mMissing required argument: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mquote(missing[\u001b[32m0\u001b[39m])\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m\"\u001b[39m\n\u001b[32m 282\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(msg)\n\u001b[32m--> \u001b[39m\u001b[32m283\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43m*\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", "\u001b[36mFile \u001b[39m\u001b[32m~/Projects/agents/.venv/lib/python3.12/site-packages/anthropic/resources/messages/messages.py:978\u001b[39m, in \u001b[36mMessages.create\u001b[39m\u001b[34m(self, max_tokens, messages, model, metadata, service_tier, stop_sequences, stream, system, temperature, thinking, tool_choice, tools, top_k, top_p, extra_headers, extra_query, extra_body, timeout)\u001b[39m\n\u001b[32m 971\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m model \u001b[38;5;129;01min\u001b[39;00m DEPRECATED_MODELS:\n\u001b[32m 972\u001b[39m warnings.warn(\n\u001b[32m 973\u001b[39m \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mThe model \u001b[39m\u001b[33m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmodel\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m'\u001b[39m\u001b[33m is deprecated and will reach end-of-life on \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mDEPRECATED_MODELS[model]\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m.\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[33mPlease migrate to a newer model. Visit https://docs.anthropic.com/en/docs/resources/model-deprecations for more information.\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m 974\u001b[39m \u001b[38;5;167;01mDeprecationWarning\u001b[39;00m,\n\u001b[32m 975\u001b[39m stacklevel=\u001b[32m3\u001b[39m,\n\u001b[32m 976\u001b[39m )\n\u001b[32m--> \u001b[39m\u001b[32m978\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_post\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 979\u001b[39m \u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43m/v1/messages\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[32m 980\u001b[39m \u001b[43m \u001b[49m\u001b[43mbody\u001b[49m\u001b[43m=\u001b[49m\u001b[43mmaybe_transform\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 981\u001b[39m \u001b[43m \u001b[49m\u001b[43m{\u001b[49m\n\u001b[32m 982\u001b[39m \u001b[43m 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\u001b[49m\u001b[43mmessage_create_params\u001b[49m\u001b[43m.\u001b[49m\u001b[43mMessageCreateParamsNonStreaming\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1000\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1001\u001b[39m \u001b[43m \u001b[49m\u001b[43moptions\u001b[49m\u001b[43m=\u001b[49m\u001b[43mmake_request_options\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 1002\u001b[39m \u001b[43m \u001b[49m\u001b[43mextra_headers\u001b[49m\u001b[43m=\u001b[49m\u001b[43mextra_headers\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mextra_query\u001b[49m\u001b[43m=\u001b[49m\u001b[43mextra_query\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mextra_body\u001b[49m\u001b[43m=\u001b[49m\u001b[43mextra_body\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mtimeout\u001b[49m\n\u001b[32m 1003\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1004\u001b[39m \u001b[43m \u001b[49m\u001b[43mcast_to\u001b[49m\u001b[43m=\u001b[49m\u001b[43mMessage\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1005\u001b[39m \u001b[43m \u001b[49m\u001b[43mstream\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[32m 1006\u001b[39m \u001b[43m \u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[43m=\u001b[49m\u001b[43mStream\u001b[49m\u001b[43m[\u001b[49m\u001b[43mRawMessageStreamEvent\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1007\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n", "\u001b[36mFile \u001b[39m\u001b[32m~/Projects/agents/.venv/lib/python3.12/site-packages/anthropic/_base_client.py:1314\u001b[39m, in \u001b[36mSyncAPIClient.post\u001b[39m\u001b[34m(self, path, cast_to, body, options, files, stream, stream_cls)\u001b[39m\n\u001b[32m 1300\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mpost\u001b[39m(\n\u001b[32m 1301\u001b[39m \u001b[38;5;28mself\u001b[39m,\n\u001b[32m 1302\u001b[39m path: \u001b[38;5;28mstr\u001b[39m,\n\u001b[32m (...)\u001b[39m\u001b[32m 1309\u001b[39m stream_cls: \u001b[38;5;28mtype\u001b[39m[_StreamT] | \u001b[38;5;28;01mNone\u001b[39;00m = \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[32m 1310\u001b[39m ) -> ResponseT | _StreamT:\n\u001b[32m 1311\u001b[39m opts = FinalRequestOptions.construct(\n\u001b[32m 1312\u001b[39m method=\u001b[33m\"\u001b[39m\u001b[33mpost\u001b[39m\u001b[33m\"\u001b[39m, url=path, json_data=body, files=to_httpx_files(files), **options\n\u001b[32m 1313\u001b[39m )\n\u001b[32m-> \u001b[39m\u001b[32m1314\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m cast(ResponseT, \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcast_to\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mopts\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstream\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[43m)\u001b[49m)\n", "\u001b[36mFile \u001b[39m\u001b[32m~/Projects/agents/.venv/lib/python3.12/site-packages/anthropic/_base_client.py:1023\u001b[39m, in \u001b[36mSyncAPIClient.request\u001b[39m\u001b[34m(self, cast_to, options, stream, stream_cls)\u001b[39m\n\u001b[32m 1020\u001b[39m options = \u001b[38;5;28mself\u001b[39m._prepare_options(options)\n\u001b[32m 1022\u001b[39m remaining_retries = max_retries - retries_taken\n\u001b[32m-> \u001b[39m\u001b[32m1023\u001b[39m request = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_build_request\u001b[49m\u001b[43m(\u001b[49m\u001b[43moptions\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mretries_taken\u001b[49m\u001b[43m=\u001b[49m\u001b[43mretries_taken\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1024\u001b[39m \u001b[38;5;28mself\u001b[39m._prepare_request(request)\n\u001b[32m 1026\u001b[39m kwargs: HttpxSendArgs = {}\n", "\u001b[36mFile \u001b[39m\u001b[32m~/Projects/agents/.venv/lib/python3.12/site-packages/anthropic/_base_client.py:506\u001b[39m, in \u001b[36mBaseClient._build_request\u001b[39m\u001b[34m(self, options, retries_taken)\u001b[39m\n\u001b[32m 503\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 504\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mUnexpected JSON data type, \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mtype\u001b[39m(json_data)\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m, cannot merge with `extra_body`\u001b[39m\u001b[33m\"\u001b[39m)\n\u001b[32m--> \u001b[39m\u001b[32m506\u001b[39m headers = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_build_headers\u001b[49m\u001b[43m(\u001b[49m\u001b[43moptions\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mretries_taken\u001b[49m\u001b[43m=\u001b[49m\u001b[43mretries_taken\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 507\u001b[39m params = _merge_mappings(\u001b[38;5;28mself\u001b[39m.default_query, options.params)\n\u001b[32m 508\u001b[39m content_type = headers.get(\u001b[33m\"\u001b[39m\u001b[33mContent-Type\u001b[39m\u001b[33m\"\u001b[39m)\n", "\u001b[36mFile \u001b[39m\u001b[32m~/Projects/agents/.venv/lib/python3.12/site-packages/anthropic/_base_client.py:447\u001b[39m, in \u001b[36mBaseClient._build_headers\u001b[39m\u001b[34m(self, options, retries_taken)\u001b[39m\n\u001b[32m 437\u001b[39m custom_headers = options.headers \u001b[38;5;129;01mor\u001b[39;00m {}\n\u001b[32m 438\u001b[39m headers_dict = _merge_mappings(\n\u001b[32m 439\u001b[39m {\n\u001b[32m 440\u001b[39m \u001b[33m\"\u001b[39m\u001b[33mx-stainless-timeout\u001b[39m\u001b[33m\"\u001b[39m: \u001b[38;5;28mstr\u001b[39m(options.timeout.read)\n\u001b[32m (...)\u001b[39m\u001b[32m 445\u001b[39m custom_headers,\n\u001b[32m 446\u001b[39m )\n\u001b[32m--> \u001b[39m\u001b[32m447\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_validate_headers\u001b[49m\u001b[43m(\u001b[49m\u001b[43mheaders_dict\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcustom_headers\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 449\u001b[39m \u001b[38;5;66;03m# headers are case-insensitive while dictionaries are not.\u001b[39;00m\n\u001b[32m 450\u001b[39m headers = httpx.Headers(headers_dict)\n", "\u001b[36mFile \u001b[39m\u001b[32m~/Projects/agents/.venv/lib/python3.12/site-packages/anthropic/_client.py:196\u001b[39m, in \u001b[36mAnthropic._validate_headers\u001b[39m\u001b[34m(self, headers, custom_headers)\u001b[39m\n\u001b[32m 193\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(custom_headers.get(\u001b[33m\"\u001b[39m\u001b[33mAuthorization\u001b[39m\u001b[33m\"\u001b[39m), Omit):\n\u001b[32m 194\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m196\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(\n\u001b[32m 197\u001b[39m \u001b[33m'\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mCould not resolve authentication method. Expected either api_key or auth_token to be set. Or for one of the `X-Api-Key` or `Authorization` headers to be explicitly omitted\u001b[39m\u001b[33m\"\u001b[39m\u001b[33m'\u001b[39m\n\u001b[32m 198\u001b[39m )\n", "\u001b[31mTypeError\u001b[39m: \"Could not resolve authentication method. Expected either api_key or auth_token to be set. Or for one of the `X-Api-Key` or `Authorization` headers to be explicitly omitted\"" ] } ], "source": [ "# Anthropic has a slightly different API, and Max Tokens is required\n", "\n", "model_name = \"claude-3-7-sonnet-latest\"\n", "\n", "claude = Anthropic()\n", "response = claude.messages.create(model=model_name, messages=messages, max_tokens=1000)\n", "answer = response.content[0].text\n", "\n", "display(Markdown(answer))\n", "competitors.append(model_name)\n", "answers.append(answer)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "gemini = OpenAI(api_key=google_api_key, base_url=\"https://generativelanguage.googleapis.com/v1beta/openai/\")\n", "model_name = \"gemini-2.0-flash\"\n", "\n", "response = gemini.chat.completions.create(model=model_name, messages=messages)\n", "answer = response.choices[0].message.content\n", "\n", "display(Markdown(answer))\n", "competitors.append(model_name)\n", "answers.append(answer)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "deepseek = OpenAI(api_key=deepseek_api_key, base_url=\"https://api.deepseek.com/v1\")\n", "model_name = \"deepseek-chat\"\n", "\n", "response = deepseek.chat.completions.create(model=model_name, messages=messages)\n", "answer = response.choices[0].message.content\n", "\n", "display(Markdown(answer))\n", "competitors.append(model_name)\n", "answers.append(answer)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "groq = OpenAI(api_key=groq_api_key, base_url=\"https://api.groq.com/openai/v1\")\n", "model_name = \"llama-3.3-70b-versatile\"\n", "\n", "response = groq.chat.completions.create(model=model_name, messages=messages)\n", "answer = response.choices[0].message.content\n", "\n", "display(Markdown(answer))\n", "competitors.append(model_name)\n", "answers.append(answer)\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## For the next cell, we will use Ollama\n", "\n", "Ollama runs a local web service that gives an OpenAI compatible endpoint, \n", "and runs models locally using high performance C++ code.\n", "\n", "If you don't have Ollama, install it here by visiting https://ollama.com then pressing Download and following the instructions.\n", "\n", "After it's installed, you should be able to visit here: http://localhost:11434 and see the message \"Ollama is running\"\n", "\n", "You might need to restart Cursor (and maybe reboot). Then open a Terminal (control+\\`) and run `ollama serve`\n", "\n", "Useful Ollama commands (run these in the terminal, or with an exclamation mark in this notebook):\n", "\n", "`ollama pull ` downloads a model locally \n", "`ollama ls` lists all the models you've downloaded \n", "`ollama rm ` deletes the specified model from your downloads" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", " \n", " \n", " \n", " \n", "
\n", " \n", " \n", "

Super important - ignore me at your peril!

\n", " The model called llama3.3 is FAR too large for home computers - it's not intended for personal computing and will consume all your resources! Stick with the nicely sized llama3.2 or llama3.2:1b and if you want larger, try llama3.1 or smaller variants of Qwen, Gemma, Phi or DeepSeek. See the the Ollama models page for a full list of models and sizes.\n", " \n", "
" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest ⠙ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest ⠹ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest ⠹ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest ⠼ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest ⠴ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest ⠦ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest ⠦ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest ⠧ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest ⠇ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest ⠏ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 0% ▕ ▏ 650 KB/3.3 GB \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 0% ▕ ▏ 4.1 MB/3.3 GB \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 0% ▕ ▏ 6.1 MB/3.3 GB \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 0% ▕ ▏ 9.9 MB/3.3 GB \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 0% ▕ ▏ 13 MB/3.3 GB \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 0% ▕ ▏ 15 MB/3.3 GB \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 1% ▕ ▏ 19 MB/3.3 GB \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 1% ▕ ▏ 23 MB/3.3 GB \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 1% ▕ ▏ 25 MB/3.3 GB \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 1% ▕ ▏ 29 MB/3.3 GB \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 1% ▕ ▏ 33 MB/3.3 GB 32 MB/s 1m41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 1% ▕ ▏ 34 MB/3.3 GB 32 MB/s 1m41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 1% ▕ ▏ 38 MB/3.3 GB 32 MB/s 1m41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 1% ▕ ▏ 42 MB/3.3 GB 32 MB/s 1m41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 1% ▕ ▏ 43 MB/3.3 GB 32 MB/s 1m41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 1% ▕ ▏ 47 MB/3.3 GB 32 MB/s 1m41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 2% ▕ ▏ 51 MB/3.3 GB 32 MB/s 1m41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 2% ▕ ▏ 53 MB/3.3 GB 32 MB/s 1m41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 2% ▕ ▏ 56 MB/3.3 GB 32 MB/s 1m41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 2% ▕ ▏ 60 MB/3.3 GB 32 MB/s 1m41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 2% ▕ ▏ 62 MB/3.3 GB 32 MB/s 1m41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 2% ▕ ▏ 65 MB/3.3 GB 31 MB/s 1m42s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 2% ▕ ▏ 69 MB/3.3 GB 31 MB/s 1m42s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 2% ▕ ▏ 71 MB/3.3 GB 31 MB/s 1m42s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 2% ▕ ▏ 73 MB/3.3 GB 31 MB/s 1m42s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 2% ▕ ▏ 77 MB/3.3 GB 31 MB/s 1m42s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 2% ▕ ▏ 78 MB/3.3 GB 31 MB/s 1m42s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 2% ▕ ▏ 80 MB/3.3 GB 31 MB/s 1m42s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 3% ▕ ▏ 84 MB/3.3 GB 31 MB/s 1m42s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 3% ▕ ▏ 85 MB/3.3 GB 31 MB/s 1m42s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 3% ▕ ▏ 89 MB/3.3 GB 31 MB/s 1m42s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 3% ▕ ▏ 92 MB/3.3 GB 30 MB/s 1m47s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 3% ▕ ▏ 94 MB/3.3 GB 30 MB/s 1m47s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 3% ▕ ▏ 98 MB/3.3 GB 30 MB/s 1m47s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 3% ▕ ▏ 102 MB/3.3 GB 30 MB/s 1m47s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 3% ▕ ▏ 104 MB/3.3 GB 30 MB/s 1m47s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 3% ▕ ▏ 107 MB/3.3 GB 30 MB/s 1m47s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 3% ▕ ▏ 110 MB/3.3 GB 30 MB/s 1m46s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 3% ▕ ▏ 112 MB/3.3 GB 30 MB/s 1m46s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 3% ▕ ▏ 115 MB/3.3 GB 30 MB/s 1m46s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 4% ▕ ▏ 119 MB/3.3 GB 30 MB/s 1m46s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 4% ▕ ▏ 121 MB/3.3 GB 30 MB/s 1m46s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 4% ▕ ▏ 124 MB/3.3 GB 30 MB/s 1m46s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 4% ▕ ▏ 128 MB/3.3 GB 30 MB/s 1m46s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 4% ▕ ▏ 129 MB/3.3 GB 30 MB/s 1m46s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 4% ▕ ▏ 133 MB/3.3 GB 30 MB/s 1m46s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 4% ▕ ▏ 137 MB/3.3 GB 30 MB/s 1m46s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 4% ▕ ▏ 139 MB/3.3 GB 30 MB/s 1m46s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 4% ▕ ▏ 142 MB/3.3 GB 30 MB/s 1m45s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 4% ▕ ▏ 145 MB/3.3 GB 30 MB/s 1m45s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 4% ▕ ▏ 146 MB/3.3 GB 30 MB/s 1m45s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 4% ▕ ▏ 150 MB/3.3 GB 29 MB/s 1m46s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 5% ▕ ▏ 153 MB/3.3 GB 29 MB/s 1m46s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 5% ▕ ▏ 154 MB/3.3 GB 29 MB/s 1m46s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 5% ▕ ▏ 158 MB/3.3 GB 29 MB/s 1m46s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 5% ▕ ▏ 161 MB/3.3 GB 29 MB/s 1m46s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 5% ▕ ▏ 163 MB/3.3 GB 29 MB/s 1m46s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 5% ▕ ▏ 167 MB/3.3 GB 29 MB/s 1m46s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 5% ▕ ▏ 171 MB/3.3 GB 29 MB/s 1m45s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 5% ▕ ▏ 172 MB/3.3 GB 29 MB/s 1m45s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 5% ▕ ▏ 176 MB/3.3 GB 29 MB/s 1m45s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 5% ▕ ▏ 180 MB/3.3 GB 29 MB/s 1m45s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 5% ▕ ▏ 182 MB/3.3 GB 29 MB/s 1m45s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 6% ▕█ ▏ 185 MB/3.3 GB 29 MB/s 1m45s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 6% ▕█ ▏ 189 MB/3.3 GB 29 MB/s 1m45s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 6% ▕█ ▏ 191 MB/3.3 GB 29 MB/s 1m45s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 6% ▕█ ▏ 194 MB/3.3 GB 29 MB/s 1m44s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 6% ▕█ ▏ 198 MB/3.3 GB 29 MB/s 1m44s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 6% ▕█ ▏ 200 MB/3.3 GB 29 MB/s 1m44s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 6% ▕█ ▏ 203 MB/3.3 GB 29 MB/s 1m44s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 6% ▕█ ▏ 207 MB/3.3 GB 29 MB/s 1m44s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 6% ▕█ ▏ 209 MB/3.3 GB 29 MB/s 1m44s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 6% ▕█ ▏ 213 MB/3.3 GB 30 MB/s 1m43s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 6% ▕█ ▏ 216 MB/3.3 GB 30 MB/s 1m43s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 6% ▕█ ▏ 216 MB/3.3 GB 30 MB/s 1m43s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 7% ▕█ ▏ 220 MB/3.3 GB 30 MB/s 1m43s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 7% ▕█ ▏ 223 MB/3.3 GB 30 MB/s 1m43s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 7% ▕█ ▏ 225 MB/3.3 GB 30 MB/s 1m43s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 7% ▕█ ▏ 229 MB/3.3 GB 30 MB/s 1m43s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 7% ▕█ ▏ 232 MB/3.3 GB 30 MB/s 1m43s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 7% ▕█ ▏ 234 MB/3.3 GB 30 MB/s 1m43s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 7% ▕█ ▏ 238 MB/3.3 GB 30 MB/s 1m43s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 7% ▕█ ▏ 242 MB/3.3 GB 29 MB/s 1m43s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 7% ▕█ ▏ 244 MB/3.3 GB 29 MB/s 1m43s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 7% ▕█ ▏ 247 MB/3.3 GB 29 MB/s 1m43s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 8% ▕█ ▏ 251 MB/3.3 GB 29 MB/s 1m42s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 8% ▕█ ▏ 253 MB/3.3 GB 29 MB/s 1m42s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 8% ▕█ ▏ 256 MB/3.3 GB 29 MB/s 1m42s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 8% ▕█ ▏ 260 MB/3.3 GB 29 MB/s 1m42s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 8% ▕█ ▏ 262 MB/3.3 GB 29 MB/s 1m42s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 8% ▕█ ▏ 266 MB/3.3 GB 29 MB/s 1m42s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 8% ▕█ ▏ 269 MB/3.3 GB 29 MB/s 1m42s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 8% ▕█ ▏ 271 MB/3.3 GB 30 MB/s 1m41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 8% ▕█ ▏ 275 MB/3.3 GB 30 MB/s 1m41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 8% ▕█ ▏ 279 MB/3.3 GB 30 MB/s 1m41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 8% ▕█ ▏ 280 MB/3.3 GB 30 MB/s 1m41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 9% ▕█ ▏ 284 MB/3.3 GB 30 MB/s 1m41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 9% ▕█ ▏ 287 MB/3.3 GB 30 MB/s 1m41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 9% ▕█ ▏ 289 MB/3.3 GB 30 MB/s 1m41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 9% ▕█ ▏ 291 MB/3.3 GB 30 MB/s 1m41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 9% ▕█ ▏ 292 MB/3.3 GB 30 MB/s 1m41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 9% ▕█ ▏ 294 MB/3.3 GB 30 MB/s 1m41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 9% ▕█ ▏ 298 MB/3.3 GB 29 MB/s 1m43s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 9% ▕█ ▏ 302 MB/3.3 GB 29 MB/s 1m43s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 9% ▕█ ▏ 304 MB/3.3 GB 29 MB/s 1m42s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 9% ▕█ ▏ 307 MB/3.3 GB 29 MB/s 1m42s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 9% ▕█ ▏ 311 MB/3.3 GB 29 MB/s 1m42s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 9% ▕█ ▏ 313 MB/3.3 GB 29 MB/s 1m42s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 9% ▕█ ▏ 316 MB/3.3 GB 29 MB/s 1m42s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 10% ▕█ ▏ 320 MB/3.3 GB 29 MB/s 1m42s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 10% ▕█ ▏ 322 MB/3.3 GB 29 MB/s 1m42s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 10% ▕█ ▏ 325 MB/3.3 GB 29 MB/s 1m42s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 10% ▕█ ▏ 329 MB/3.3 GB 29 MB/s 1m41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 10% ▕█ ▏ 331 MB/3.3 GB 29 MB/s 1m41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 10% ▕█ ▏ 335 MB/3.3 GB 29 MB/s 1m41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 10% ▕█ ▏ 339 MB/3.3 GB 29 MB/s 1m41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 10% ▕█ ▏ 341 MB/3.3 GB 29 MB/s 1m41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 10% ▕█ ▏ 344 MB/3.3 GB 29 MB/s 1m41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 10% ▕█ ▏ 348 MB/3.3 GB 29 MB/s 1m41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 10% ▕█ ▏ 349 MB/3.3 GB 29 MB/s 1m41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 11% ▕█ ▏ 351 MB/3.3 GB 29 MB/s 1m41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 11% ▕█ ▏ 355 MB/3.3 GB 29 MB/s 1m41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 11% ▕█ ▏ 357 MB/3.3 GB 29 MB/s 1m41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 11% ▕█ ▏ 361 MB/3.3 GB 29 MB/s 1m40s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 11% ▕█ ▏ 364 MB/3.3 GB 29 MB/s 1m39s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 11% ▕█ ▏ 366 MB/3.3 GB 29 MB/s 1m39s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 11% ▕█ ▏ 369 MB/3.3 GB 29 MB/s 1m39s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 11% ▕██ ▏ 373 MB/3.3 GB 29 MB/s 1m39s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 11% ▕██ ▏ 374 MB/3.3 GB 29 MB/s 1m39s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 11% ▕██ ▏ 378 MB/3.3 GB 29 MB/s 1m39s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 11% ▕██ ▏ 381 MB/3.3 GB 29 MB/s 1m39s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 11% ▕██ ▏ 383 MB/3.3 GB 29 MB/s 1m39s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 12% ▕██ ▏ 387 MB/3.3 GB 29 MB/s 1m39s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 12% ▕██ ▏ 390 MB/3.3 GB 29 MB/s 1m39s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 12% ▕██ ▏ 392 MB/3.3 GB 29 MB/s 1m39s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 12% ▕██ ▏ 395 MB/3.3 GB 29 MB/s 1m39s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 12% ▕██ ▏ 399 MB/3.3 GB 29 MB/s 1m38s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 12% ▕██ ▏ 401 MB/3.3 GB 29 MB/s 1m38s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 12% ▕██ ▏ 404 MB/3.3 GB 29 MB/s 1m38s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 12% ▕██ ▏ 408 MB/3.3 GB 29 MB/s 1m38s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 12% ▕██ ▏ 410 MB/3.3 GB 29 MB/s 1m38s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 12% ▕██ ▏ 413 MB/3.3 GB 29 MB/s 1m38s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 12% ▕██ ▏ 417 MB/3.3 GB 29 MB/s 1m38s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 13% ▕██ ▏ 418 MB/3.3 GB 29 MB/s 1m37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 13% ▕██ ▏ 422 MB/3.3 GB 29 MB/s 1m37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 13% ▕██ ▏ 426 MB/3.3 GB 29 MB/s 1m37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 13% ▕██ ▏ 427 MB/3.3 GB 29 MB/s 1m37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 13% ▕██ ▏ 430 MB/3.3 GB 29 MB/s 1m37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 13% ▕██ ▏ 434 MB/3.3 GB 29 MB/s 1m37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 13% ▕██ ▏ 436 MB/3.3 GB 29 MB/s 1m37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 13% ▕██ ▏ 439 MB/3.3 GB 29 MB/s 1m37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 13% ▕██ ▏ 442 MB/3.3 GB 29 MB/s 1m37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 13% ▕██ ▏ 443 MB/3.3 GB 29 MB/s 1m36s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 13% ▕██ ▏ 446 MB/3.3 GB 29 MB/s 1m37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 13% ▕██ ▏ 449 MB/3.3 GB 29 MB/s 1m37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 14% ▕██ ▏ 451 MB/3.3 GB 29 MB/s 1m37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 14% ▕██ ▏ 454 MB/3.3 GB 29 MB/s 1m37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 14% ▕██ ▏ 457 MB/3.3 GB 29 MB/s 1m37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 14% ▕██ ▏ 459 MB/3.3 GB 29 MB/s 1m37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 14% ▕██ ▏ 462 MB/3.3 GB 29 MB/s 1m37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 14% ▕██ ▏ 464 MB/3.3 GB 29 MB/s 1m37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 14% ▕██ ▏ 466 MB/3.3 GB 29 MB/s 1m37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 14% ▕██ ▏ 470 MB/3.3 GB 29 MB/s 1m36s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 14% ▕██ ▏ 473 MB/3.3 GB 29 MB/s 1m38s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 14% ▕██ ▏ 475 MB/3.3 GB 29 MB/s 1m38s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 14% ▕██ ▏ 479 MB/3.3 GB 29 MB/s 1m37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 14% ▕██ ▏ 482 MB/3.3 GB 29 MB/s 1m37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 15% ▕██ ▏ 484 MB/3.3 GB 29 MB/s 1m37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 15% ▕██ ▏ 487 MB/3.3 GB 29 MB/s 1m37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 15% ▕██ ▏ 489 MB/3.3 GB 29 MB/s 1m37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 15% ▕██ ▏ 491 MB/3.3 GB 29 MB/s 1m37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 15% ▕██ ▏ 494 MB/3.3 GB 29 MB/s 1m37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 15% ▕██ ▏ 498 MB/3.3 GB 29 MB/s 1m37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 15% ▕██ ▏ 500 MB/3.3 GB 29 MB/s 1m37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 15% ▕██ ▏ 503 MB/3.3 GB 29 MB/s 1m37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 15% ▕██ ▏ 507 MB/3.3 GB 29 MB/s 1m37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 15% ▕██ ▏ 509 MB/3.3 GB 29 MB/s 1m37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 15% ▕██ ▏ 512 MB/3.3 GB 29 MB/s 1m37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 15% ▕██ ▏ 515 MB/3.3 GB 29 MB/s 1m37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 16% ▕██ ▏ 517 MB/3.3 GB 29 MB/s 1m37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 16% ▕██ ▏ 520 MB/3.3 GB 29 MB/s 1m36s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 16% ▕██ ▏ 524 MB/3.3 GB 29 MB/s 1m36s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 16% ▕██ ▏ 525 MB/3.3 GB 29 MB/s 1m36s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 16% ▕██ ▏ 529 MB/3.3 GB 29 MB/s 1m36s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 16% ▕██ ▏ 532 MB/3.3 GB 28 MB/s 1m37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 16% ▕██ ▏ 534 MB/3.3 GB 28 MB/s 1m37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 16% ▕██ ▏ 538 MB/3.3 GB 28 MB/s 1m37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 16% ▕██ ▏ 542 MB/3.3 GB 28 MB/s 1m37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 16% ▕██ ▏ 544 MB/3.3 GB 28 MB/s 1m37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 16% ▕██ ▏ 547 MB/3.3 GB 28 MB/s 1m36s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 17% ▕██ ▏ 551 MB/3.3 GB 28 MB/s 1m36s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 17% ▕██ ▏ 553 MB/3.3 GB 28 MB/s 1m36s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 17% ▕███ ▏ 556 MB/3.3 GB 28 MB/s 1m36s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 17% ▕███ ▏ 560 MB/3.3 GB 28 MB/s 1m36s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 17% ▕███ ▏ 562 MB/3.3 GB 29 MB/s 1m34s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 17% ▕███ ▏ 566 MB/3.3 GB 29 MB/s 1m34s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 17% ▕███ ▏ 570 MB/3.3 GB 29 MB/s 1m34s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 17% ▕███ ▏ 571 MB/3.3 GB 29 MB/s 1m34s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 17% ▕███ ▏ 575 MB/3.3 GB 29 MB/s 1m34s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 17% ▕███ ▏ 578 MB/3.3 GB 29 MB/s 1m34s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 17% ▕███ ▏ 580 MB/3.3 GB 29 MB/s 1m33s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 17% ▕███ ▏ 582 MB/3.3 GB 29 MB/s 1m33s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 17% ▕███ ▏ 583 MB/3.3 GB 29 MB/s 1m33s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 18% ▕███ ▏ 585 MB/3.3 GB 29 MB/s 1m33s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 18% ▕███ ▏ 588 MB/3.3 GB 28 MB/s 1m35s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 18% ▕███ ▏ 592 MB/3.3 GB 28 MB/s 1m35s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 18% ▕███ ▏ 593 MB/3.3 GB 28 MB/s 1m35s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 18% ▕███ ▏ 597 MB/3.3 GB 28 MB/s 1m35s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 18% ▕███ ▏ 601 MB/3.3 GB 28 MB/s 1m35s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 18% ▕███ ▏ 602 MB/3.3 GB 28 MB/s 1m35s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 18% ▕███ ▏ 606 MB/3.3 GB 28 MB/s 1m34s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 18% ▕███ ▏ 609 MB/3.3 GB 28 MB/s 1m34s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 18% ▕███ ▏ 611 MB/3.3 GB 28 MB/s 1m34s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 18% ▕███ ▏ 615 MB/3.3 GB 28 MB/s 1m34s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 19% ▕███ ▏ 617 MB/3.3 GB 28 MB/s 1m34s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 19% ▕███ ▏ 618 MB/3.3 GB 28 MB/s 1m34s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 19% ▕███ ▏ 622 MB/3.3 GB 28 MB/s 1m34s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 19% ▕███ ▏ 625 MB/3.3 GB 28 MB/s 1m34s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 19% ▕███ ▏ 627 MB/3.3 GB 28 MB/s 1m34s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 19% ▕███ ▏ 631 MB/3.3 GB 28 MB/s 1m34s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 19% ▕███ ▏ 634 MB/3.3 GB 28 MB/s 1m34s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 19% ▕███ ▏ 636 MB/3.3 GB 28 MB/s 1m34s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 19% ▕███ ▏ 640 MB/3.3 GB 28 MB/s 1m33s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 19% ▕███ ▏ 643 MB/3.3 GB 28 MB/s 1m33s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 19% ▕███ ▏ 645 MB/3.3 GB 28 MB/s 1m33s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 19% ▕███ ▏ 649 MB/3.3 GB 28 MB/s 1m33s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 20% ▕███ ▏ 652 MB/3.3 GB 28 MB/s 1m33s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 20% ▕███ ▏ 654 MB/3.3 GB 28 MB/s 1m33s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 20% ▕███ ▏ 658 MB/3.3 GB 28 MB/s 1m33s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 20% ▕███ ▏ 662 MB/3.3 GB 28 MB/s 1m33s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 20% ▕███ ▏ 664 MB/3.3 GB 28 MB/s 1m33s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 20% ▕███ ▏ 667 MB/3.3 GB 28 MB/s 1m32s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 20% ▕███ ▏ 671 MB/3.3 GB 28 MB/s 1m32s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 20% ▕███ ▏ 673 MB/3.3 GB 28 MB/s 1m32s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 20% ▕███ ▏ 677 MB/3.3 GB 28 MB/s 1m32s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 20% ▕███ ▏ 680 MB/3.3 GB 28 MB/s 1m31s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 20% ▕███ ▏ 682 MB/3.3 GB 28 MB/s 1m31s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 21% ▕███ ▏ 686 MB/3.3 GB 28 MB/s 1m31s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 21% ▕███ ▏ 690 MB/3.3 GB 28 MB/s 1m31s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 21% ▕███ ▏ 691 MB/3.3 GB 28 MB/s 1m31s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 21% ▕███ ▏ 695 MB/3.3 GB 28 MB/s 1m31s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 21% ▕███ ▏ 699 MB/3.3 GB 28 MB/s 1m31s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 21% ▕███ ▏ 701 MB/3.3 GB 28 MB/s 1m31s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 21% ▕███ ▏ 704 MB/3.3 GB 28 MB/s 1m31s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 21% ▕███ ▏ 708 MB/3.3 GB 28 MB/s 1m30s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 21% ▕███ ▏ 710 MB/3.3 GB 29 MB/s 1m29s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 21% ▕███ ▏ 713 MB/3.3 GB 29 MB/s 1m29s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 21% ▕███ ▏ 717 MB/3.3 GB 29 MB/s 1m29s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 22% ▕███ ▏ 719 MB/3.3 GB 29 MB/s 1m29s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 22% ▕███ ▏ 723 MB/3.3 GB 29 MB/s 1m29s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 22% ▕███ ▏ 726 MB/3.3 GB 29 MB/s 1m29s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 22% ▕███ ▏ 728 MB/3.3 GB 29 MB/s 1m29s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 22% ▕███ ▏ 732 MB/3.3 GB 29 MB/s 1m28s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 22% ▕███ ▏ 736 MB/3.3 GB 29 MB/s 1m28s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 22% ▕███ ▏ 738 MB/3.3 GB 29 MB/s 1m28s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 22% ▕███ ▏ 741 MB/3.3 GB 29 MB/s 1m27s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 22% ▕████ ▏ 745 MB/3.3 GB 29 MB/s 1m27s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 22% ▕████ ▏ 746 MB/3.3 GB 29 MB/s 1m27s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 22% ▕████ ▏ 750 MB/3.3 GB 29 MB/s 1m26s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 23% ▕████ ▏ 754 MB/3.3 GB 29 MB/s 1m26s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 23% ▕████ ▏ 755 MB/3.3 GB 29 MB/s 1m26s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 23% ▕████ ▏ 759 MB/3.3 GB 29 MB/s 1m26s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 23% ▕████ ▏ 763 MB/3.3 GB 29 MB/s 1m26s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 23% ▕████ ▏ 765 MB/3.3 GB 29 MB/s 1m26s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 23% ▕████ ▏ 767 MB/3.3 GB 29 MB/s 1m26s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 23% ▕████ ▏ 770 MB/3.3 GB 29 MB/s 1m26s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 23% ▕████ ▏ 772 MB/3.3 GB 29 MB/s 1m25s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 23% ▕████ ▏ 776 MB/3.3 GB 29 MB/s 1m25s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 23% ▕████ ▏ 779 MB/3.3 GB 29 MB/s 1m25s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 23% ▕████ ▏ 781 MB/3.3 GB 29 MB/s 1m25s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 24% ▕████ ▏ 785 MB/3.3 GB 29 MB/s 1m25s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 24% ▕████ ▏ 788 MB/3.3 GB 29 MB/s 1m25s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 24% ▕████ ▏ 790 MB/3.3 GB 29 MB/s 1m25s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 24% ▕████ ▏ 794 MB/3.3 GB 29 MB/s 1m25s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 24% ▕████ ▏ 797 MB/3.3 GB 29 MB/s 1m25s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 24% ▕████ ▏ 799 MB/3.3 GB 29 MB/s 1m25s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 24% ▕████ ▏ 803 MB/3.3 GB 30 MB/s 1m24s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 24% ▕████ ▏ 807 MB/3.3 GB 30 MB/s 1m24s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 24% ▕████ ▏ 808 MB/3.3 GB 30 MB/s 1m24s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 24% ▕████ ▏ 812 MB/3.3 GB 30 MB/s 1m24s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 24% ▕████ ▏ 816 MB/3.3 GB 30 MB/s 1m23s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 24% ▕████ ▏ 817 MB/3.3 GB 30 MB/s 1m23s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 25% ▕████ ▏ 821 MB/3.3 GB 30 MB/s 1m23s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 25% ▕████ ▏ 825 MB/3.3 GB 30 MB/s 1m23s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 25% ▕████ ▏ 827 MB/3.3 GB 30 MB/s 1m23s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 25% ▕████ ▏ 831 MB/3.3 GB 30 MB/s 1m23s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 25% ▕████ ▏ 834 MB/3.3 GB 30 MB/s 1m23s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 25% ▕████ ▏ 836 MB/3.3 GB 30 MB/s 1m23s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 25% ▕████ ▏ 840 MB/3.3 GB 30 MB/s 1m23s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 25% ▕████ ▏ 844 MB/3.3 GB 30 MB/s 1m23s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 25% ▕████ ▏ 845 MB/3.3 GB 30 MB/s 1m22s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 25% ▕████ ▏ 849 MB/3.3 GB 30 MB/s 1m22s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 26% ▕████ ▏ 852 MB/3.3 GB 30 MB/s 1m22s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 26% ▕████ ▏ 853 MB/3.3 GB 30 MB/s 1m22s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 26% ▕████ ▏ 857 MB/3.3 GB 30 MB/s 1m22s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 26% ▕████ ▏ 860 MB/3.3 GB 30 MB/s 1m22s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 26% ▕████ ▏ 862 MB/3.3 GB 30 MB/s 1m21s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 26% ▕████ ▏ 865 MB/3.3 GB 30 MB/s 1m21s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 26% ▕████ ▏ 869 MB/3.3 GB 30 MB/s 1m21s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 26% ▕████ ▏ 871 MB/3.3 GB 30 MB/s 1m21s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 26% ▕████ ▏ 874 MB/3.3 GB 30 MB/s 1m21s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 26% ▕████ ▏ 878 MB/3.3 GB 30 MB/s 1m20s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 26% ▕████ ▏ 880 MB/3.3 GB 30 MB/s 1m20s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 26% ▕████ ▏ 883 MB/3.3 GB 30 MB/s 1m20s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 26% ▕████ ▏ 884 MB/3.3 GB 30 MB/s 1m20s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 27% ▕████ ▏ 885 MB/3.3 GB 30 MB/s 1m20s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 27% ▕████ ▏ 889 MB/3.3 GB 30 MB/s 1m21s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 27% ▕████ ▏ 893 MB/3.3 GB 30 MB/s 1m21s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 27% ▕████ ▏ 894 MB/3.3 GB 30 MB/s 1m21s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 27% ▕████ ▏ 898 MB/3.3 GB 30 MB/s 1m20s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 27% ▕████ ▏ 902 MB/3.3 GB 30 MB/s 1m20s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 27% ▕████ ▏ 904 MB/3.3 GB 30 MB/s 1m20s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 27% ▕████ ▏ 907 MB/3.3 GB 30 MB/s 1m20s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 27% ▕████ ▏ 911 MB/3.3 GB 30 MB/s 1m20s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 27% ▕████ ▏ 911 MB/3.3 GB 30 MB/s 1m20s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 27% ▕████ ▏ 915 MB/3.3 GB 30 MB/s 1m20s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 28% ▕████ ▏ 918 MB/3.3 GB 30 MB/s 1m20s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 28% ▕████ ▏ 919 MB/3.3 GB 30 MB/s 1m20s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 28% ▕████ ▏ 923 MB/3.3 GB 30 MB/s 1m20s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 28% ▕████ ▏ 926 MB/3.3 GB 30 MB/s 1m20s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 28% ▕█████ ▏ 928 MB/3.3 GB 30 MB/s 1m20s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 28% ▕█████ ▏ 932 MB/3.3 GB 30 MB/s 1m19s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 28% ▕█████ ▏ 936 MB/3.3 GB 30 MB/s 1m19s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 28% ▕█████ ▏ 937 MB/3.3 GB 30 MB/s 1m19s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 28% ▕█████ ▏ 941 MB/3.3 GB 30 MB/s 1m19s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 28% ▕█████ ▏ 945 MB/3.3 GB 30 MB/s 1m19s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 28% ▕█████ ▏ 947 MB/3.3 GB 30 MB/s 1m19s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 28% ▕█████ ▏ 950 MB/3.3 GB 29 MB/s 1m19s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 29% ▕█████ ▏ 953 MB/3.3 GB 29 MB/s 1m19s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 29% ▕█████ ▏ 955 MB/3.3 GB 29 MB/s 1m19s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 29% ▕█████ ▏ 958 MB/3.3 GB 29 MB/s 1m19s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 29% ▕█████ ▏ 961 MB/3.3 GB 29 MB/s 1m19s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 29% ▕█████ ▏ 963 MB/3.3 GB 29 MB/s 1m19s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 29% ▕█████ ▏ 966 MB/3.3 GB 29 MB/s 1m19s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 29% ▕█████ ▏ 970 MB/3.3 GB 29 MB/s 1m18s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 29% ▕█████ ▏ 972 MB/3.3 GB 29 MB/s 1m18s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 29% ▕█████ ▏ 975 MB/3.3 GB 29 MB/s 1m18s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 29% ▕█████ ▏ 979 MB/3.3 GB 29 MB/s 1m19s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 29% ▕█████ ▏ 980 MB/3.3 GB 29 MB/s 1m19s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 29% ▕█████ ▏ 983 MB/3.3 GB 29 MB/s 1m19s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 30% ▕█████ ▏ 987 MB/3.3 GB 29 MB/s 1m19s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 30% ▕█████ ▏ 988 MB/3.3 GB 29 MB/s 1m19s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 30% ▕█████ ▏ 992 MB/3.3 GB 29 MB/s 1m19s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 30% ▕█████ ▏ 995 MB/3.3 GB 29 MB/s 1m18s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 30% ▕█████ ▏ 997 MB/3.3 GB 29 MB/s 1m18s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 30% ▕█████ ▏ 1.0 GB/3.3 GB 29 MB/s 1m18s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 30% ▕█████ ▏ 1.0 GB/3.3 GB 29 MB/s 1m18s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 30% ▕█████ ▏ 1.0 GB/3.3 GB 29 MB/s 1m19s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 30% ▕█████ ▏ 1.0 GB/3.3 GB 29 MB/s 1m19s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 30% ▕█████ ▏ 1.0 GB/3.3 GB 29 MB/s 1m19s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 30% ▕█████ ▏ 1.0 GB/3.3 GB 29 MB/s 1m19s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 31% ▕█████ ▏ 1.0 GB/3.3 GB 29 MB/s 1m18s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 31% ▕█████ ▏ 1.0 GB/3.3 GB 29 MB/s 1m18s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 31% ▕█████ ▏ 1.0 GB/3.3 GB 29 MB/s 1m18s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 31% ▕█████ ▏ 1.0 GB/3.3 GB 29 MB/s 1m18s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 31% ▕█████ ▏ 1.0 GB/3.3 GB 29 MB/s 1m18s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 31% ▕█████ ▏ 1.0 GB/3.3 GB 29 MB/s 1m18s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 31% ▕█████ ▏ 1.0 GB/3.3 GB 29 MB/s 1m18s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 31% ▕█████ ▏ 1.0 GB/3.3 GB 29 MB/s 1m18s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 31% ▕█████ ▏ 1.0 GB/3.3 GB 29 MB/s 1m17s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 31% ▕█████ ▏ 1.0 GB/3.3 GB 29 MB/s 1m17s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 31% ▕█████ ▏ 1.0 GB/3.3 GB 29 MB/s 1m17s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 31% ▕█████ ▏ 1.0 GB/3.3 GB 29 MB/s 1m17s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 31% ▕█████ ▏ 1.1 GB/3.3 GB 29 MB/s 1m17s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 32% ▕█████ ▏ 1.1 GB/3.3 GB 29 MB/s 1m17s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 32% ▕█████ ▏ 1.1 GB/3.3 GB 29 MB/s 1m17s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 32% ▕█████ ▏ 1.1 GB/3.3 GB 29 MB/s 1m17s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 32% ▕█████ ▏ 1.1 GB/3.3 GB 29 MB/s 1m17s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 32% ▕█████ ▏ 1.1 GB/3.3 GB 29 MB/s 1m17s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 32% ▕█████ ▏ 1.1 GB/3.3 GB 29 MB/s 1m17s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 32% ▕█████ ▏ 1.1 GB/3.3 GB 29 MB/s 1m17s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 32% ▕█████ ▏ 1.1 GB/3.3 GB 29 MB/s 1m17s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 32% ▕█████ ▏ 1.1 GB/3.3 GB 29 MB/s 1m17s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 32% ▕█████ ▏ 1.1 GB/3.3 GB 29 MB/s 1m17s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 32% ▕█████ ▏ 1.1 GB/3.3 GB 29 MB/s 1m17s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 33% ▕█████ ▏ 1.1 GB/3.3 GB 29 MB/s 1m17s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 33% ▕█████ ▏ 1.1 GB/3.3 GB 29 MB/s 1m16s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 33% ▕█████ ▏ 1.1 GB/3.3 GB 29 MB/s 1m16s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 33% ▕█████ ▏ 1.1 GB/3.3 GB 29 MB/s 1m17s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 33% ▕█████ ▏ 1.1 GB/3.3 GB 29 MB/s 1m17s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 33% ▕█████ ▏ 1.1 GB/3.3 GB 29 MB/s 1m16s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 33% ▕█████ ▏ 1.1 GB/3.3 GB 29 MB/s 1m16s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 33% ▕█████ ▏ 1.1 GB/3.3 GB 29 MB/s 1m16s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 33% ▕█████ ▏ 1.1 GB/3.3 GB 29 MB/s 1m16s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 33% ▕██████ ▏ 1.1 GB/3.3 GB 29 MB/s 1m16s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 33% ▕██████ ▏ 1.1 GB/3.3 GB 29 MB/s 1m16s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 34% ▕██████ ▏ 1.1 GB/3.3 GB 29 MB/s 1m16s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 34% ▕██████ ▏ 1.1 GB/3.3 GB 29 MB/s 1m16s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 34% ▕██████ ▏ 1.1 GB/3.3 GB 29 MB/s 1m15s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 34% ▕██████ ▏ 1.1 GB/3.3 GB 29 MB/s 1m15s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 34% ▕██████ ▏ 1.1 GB/3.3 GB 29 MB/s 1m15s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 34% ▕██████ ▏ 1.1 GB/3.3 GB 29 MB/s 1m15s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 34% ▕██████ ▏ 1.1 GB/3.3 GB 29 MB/s 1m15s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 34% ▕██████ ▏ 1.1 GB/3.3 GB 29 MB/s 1m15s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 34% ▕██████ ▏ 1.1 GB/3.3 GB 29 MB/s 1m14s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 34% ▕██████ ▏ 1.1 GB/3.3 GB 29 MB/s 1m14s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 34% ▕██████ ▏ 1.2 GB/3.3 GB 29 MB/s 1m14s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 35% ▕██████ ▏ 1.2 GB/3.3 GB 29 MB/s 1m14s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 35% ▕██████ ▏ 1.2 GB/3.3 GB 29 MB/s 1m13s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 35% ▕██████ ▏ 1.2 GB/3.3 GB 29 MB/s 1m13s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 35% ▕██████ ▏ 1.2 GB/3.3 GB 29 MB/s 1m13s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 35% ▕██████ ▏ 1.2 GB/3.3 GB 29 MB/s 1m13s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 35% ▕██████ ▏ 1.2 GB/3.3 GB 29 MB/s 1m13s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 35% ▕██████ ▏ 1.2 GB/3.3 GB 29 MB/s 1m13s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 35% ▕██████ ▏ 1.2 GB/3.3 GB 29 MB/s 1m12s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 35% ▕██████ ▏ 1.2 GB/3.3 GB 29 MB/s 1m12s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 35% ▕██████ ▏ 1.2 GB/3.3 GB 29 MB/s 1m12s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 35% ▕██████ ▏ 1.2 GB/3.3 GB 29 MB/s 1m12s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 35% ▕██████ ▏ 1.2 GB/3.3 GB 29 MB/s 1m13s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 36% ▕██████ ▏ 1.2 GB/3.3 GB 29 MB/s 1m13s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 36% ▕██████ ▏ 1.2 GB/3.3 GB 29 MB/s 1m12s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 36% ▕██████ ▏ 1.2 GB/3.3 GB 29 MB/s 1m12s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 36% ▕██████ ▏ 1.2 GB/3.3 GB 29 MB/s 1m12s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 36% ▕██████ ▏ 1.2 GB/3.3 GB 29 MB/s 1m12s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 36% ▕██████ ▏ 1.2 GB/3.3 GB 29 MB/s 1m12s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 36% ▕██████ ▏ 1.2 GB/3.3 GB 29 MB/s 1m12s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 36% ▕██████ ▏ 1.2 GB/3.3 GB 29 MB/s 1m12s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 36% ▕██████ ▏ 1.2 GB/3.3 GB 29 MB/s 1m12s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 36% ▕██████ ▏ 1.2 GB/3.3 GB 29 MB/s 1m12s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 36% ▕██████ ▏ 1.2 GB/3.3 GB 29 MB/s 1m12s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 36% ▕██████ ▏ 1.2 GB/3.3 GB 29 MB/s 1m12s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 37% ▕██████ ▏ 1.2 GB/3.3 GB 29 MB/s 1m12s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 37% ▕██████ ▏ 1.2 GB/3.3 GB 29 MB/s 1m12s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 37% ▕██████ ▏ 1.2 GB/3.3 GB 29 MB/s 1m12s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 37% ▕██████ ▏ 1.2 GB/3.3 GB 29 MB/s 1m12s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 37% ▕██████ ▏ 1.2 GB/3.3 GB 29 MB/s 1m11s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 37% ▕██████ ▏ 1.2 GB/3.3 GB 29 MB/s 1m11s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 37% ▕██████ ▏ 1.2 GB/3.3 GB 29 MB/s 1m11s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 37% ▕██████ ▏ 1.2 GB/3.3 GB 29 MB/s 1m11s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 37% ▕██████ ▏ 1.2 GB/3.3 GB 29 MB/s 1m10s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 37% ▕██████ ▏ 1.2 GB/3.3 GB 29 MB/s 1m10s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 37% ▕██████ ▏ 1.3 GB/3.3 GB 29 MB/s 1m10s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 38% ▕██████ ▏ 1.3 GB/3.3 GB 29 MB/s 1m10s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 38% ▕██████ ▏ 1.3 GB/3.3 GB 29 MB/s 1m10s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 38% ▕██████ ▏ 1.3 GB/3.3 GB 29 MB/s 1m10s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 38% ▕██████ ▏ 1.3 GB/3.3 GB 29 MB/s 1m10s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 38% ▕██████ ▏ 1.3 GB/3.3 GB 29 MB/s 1m10s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 38% ▕██████ ▏ 1.3 GB/3.3 GB 29 MB/s 1m10s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 38% ▕██████ ▏ 1.3 GB/3.3 GB 29 MB/s 1m10s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 38% ▕██████ ▏ 1.3 GB/3.3 GB 29 MB/s 1m10s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 38% ▕██████ ▏ 1.3 GB/3.3 GB 29 MB/s 1m10s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 38% ▕██████ ▏ 1.3 GB/3.3 GB 29 MB/s 1m9s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 38% ▕██████ ▏ 1.3 GB/3.3 GB 29 MB/s 1m9s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 38% ▕██████ ▏ 1.3 GB/3.3 GB 29 MB/s 1m9s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 39% ▕██████ ▏ 1.3 GB/3.3 GB 29 MB/s 1m9s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 39% ▕██████ ▏ 1.3 GB/3.3 GB 29 MB/s 1m9s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 39% ▕██████ ▏ 1.3 GB/3.3 GB 29 MB/s 1m9s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 39% ▕██████ ▏ 1.3 GB/3.3 GB 29 MB/s 1m9s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 39% ▕███████ ▏ 1.3 GB/3.3 GB 29 MB/s 1m9s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 39% ▕███████ ▏ 1.3 GB/3.3 GB 29 MB/s 1m8s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 39% ▕███████ ▏ 1.3 GB/3.3 GB 29 MB/s 1m8s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 39% ▕███████ ▏ 1.3 GB/3.3 GB 29 MB/s 1m8s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 39% ▕███████ ▏ 1.3 GB/3.3 GB 29 MB/s 1m8s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 39% ▕███████ ▏ 1.3 GB/3.3 GB 29 MB/s 1m8s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 39% ▕███████ ▏ 1.3 GB/3.3 GB 29 MB/s 1m8s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 39% ▕███████ ▏ 1.3 GB/3.3 GB 29 MB/s 1m8s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 40% ▕███████ ▏ 1.3 GB/3.3 GB 29 MB/s 1m8s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 40% ▕███████ ▏ 1.3 GB/3.3 GB 29 MB/s 1m8s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 40% ▕███████ ▏ 1.3 GB/3.3 GB 29 MB/s 1m8s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 40% ▕███████ ▏ 1.3 GB/3.3 GB 29 MB/s 1m8s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 40% ▕███████ ▏ 1.3 GB/3.3 GB 29 MB/s 1m7s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 40% ▕███████ ▏ 1.3 GB/3.3 GB 29 MB/s 1m7s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 40% ▕███████ ▏ 1.3 GB/3.3 GB 29 MB/s 1m7s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 40% ▕███████ ▏ 1.3 GB/3.3 GB 29 MB/s 1m7s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 40% ▕███████ ▏ 1.3 GB/3.3 GB 29 MB/s 1m7s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 40% ▕███████ ▏ 1.3 GB/3.3 GB 29 MB/s 1m7s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 41% ▕███████ ▏ 1.4 GB/3.3 GB 29 MB/s 1m7s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 41% ▕███████ ▏ 1.4 GB/3.3 GB 29 MB/s 1m7s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 41% ▕███████ ▏ 1.4 GB/3.3 GB 29 MB/s 1m7s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 41% ▕███████ ▏ 1.4 GB/3.3 GB 29 MB/s 1m6s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 41% ▕███████ ▏ 1.4 GB/3.3 GB 29 MB/s 1m6s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 41% ▕███████ ▏ 1.4 GB/3.3 GB 29 MB/s 1m6s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 41% ▕███████ ▏ 1.4 GB/3.3 GB 29 MB/s 1m6s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 41% ▕███████ ▏ 1.4 GB/3.3 GB 29 MB/s 1m6s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 41% ▕███████ ▏ 1.4 GB/3.3 GB 29 MB/s 1m6s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 41% ▕███████ ▏ 1.4 GB/3.3 GB 29 MB/s 1m6s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 41% ▕███████ ▏ 1.4 GB/3.3 GB 29 MB/s 1m5s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 42% ▕███████ ▏ 1.4 GB/3.3 GB 29 MB/s 1m5s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 42% ▕███████ ▏ 1.4 GB/3.3 GB 29 MB/s 1m5s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 42% ▕███████ ▏ 1.4 GB/3.3 GB 29 MB/s 1m5s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 42% ▕███████ ▏ 1.4 GB/3.3 GB 29 MB/s 1m5s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 42% ▕███████ ▏ 1.4 GB/3.3 GB 29 MB/s 1m5s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 42% ▕███████ ▏ 1.4 GB/3.3 GB 29 MB/s 1m5s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 42% ▕███████ ▏ 1.4 GB/3.3 GB 29 MB/s 1m5s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 42% ▕███████ ▏ 1.4 GB/3.3 GB 29 MB/s 1m4s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 42% ▕███████ ▏ 1.4 GB/3.3 GB 29 MB/s 1m4s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 42% ▕███████ ▏ 1.4 GB/3.3 GB 29 MB/s 1m4s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 42% ▕███████ ▏ 1.4 GB/3.3 GB 29 MB/s 1m4s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 42% ▕███████ ▏ 1.4 GB/3.3 GB 29 MB/s 1m4s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 43% ▕███████ ▏ 1.4 GB/3.3 GB 29 MB/s 1m4s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 43% ▕███████ ▏ 1.4 GB/3.3 GB 29 MB/s 1m4s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 43% ▕███████ ▏ 1.4 GB/3.3 GB 29 MB/s 1m4s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 43% ▕███████ ▏ 1.4 GB/3.3 GB 29 MB/s 1m4s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 43% ▕███████ ▏ 1.4 GB/3.3 GB 29 MB/s 1m4s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 43% ▕███████ ▏ 1.4 GB/3.3 GB 29 MB/s 1m4s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 43% ▕███████ ▏ 1.4 GB/3.3 GB 29 MB/s 1m4s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 43% ▕███████ ▏ 1.4 GB/3.3 GB 29 MB/s 1m3s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 43% ▕███████ ▏ 1.4 GB/3.3 GB 29 MB/s 1m3s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 43% ▕███████ ▏ 1.4 GB/3.3 GB 29 MB/s 1m3s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 43% ▕███████ ▏ 1.4 GB/3.3 GB 29 MB/s 1m3s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 43% ▕███████ ▏ 1.4 GB/3.3 GB 29 MB/s 1m3s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 44% ▕███████ ▏ 1.5 GB/3.3 GB 29 MB/s 1m3s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 44% ▕███████ ▏ 1.5 GB/3.3 GB 29 MB/s 1m3s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 44% ▕███████ ▏ 1.5 GB/3.3 GB 29 MB/s 1m3s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 44% ▕███████ ▏ 1.5 GB/3.3 GB 29 MB/s 1m3s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 44% ▕███████ ▏ 1.5 GB/3.3 GB 29 MB/s 1m3s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 44% ▕███████ ▏ 1.5 GB/3.3 GB 29 MB/s 1m3s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 44% ▕███████ ▏ 1.5 GB/3.3 GB 29 MB/s 1m3s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 44% ▕███████ ▏ 1.5 GB/3.3 GB 29 MB/s 1m3s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 44% ▕███████ ▏ 1.5 GB/3.3 GB 29 MB/s 1m3s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 44% ▕███████ ▏ 1.5 GB/3.3 GB 28 MB/s 1m4s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 44% ▕███████ ▏ 1.5 GB/3.3 GB 28 MB/s 1m4s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 44% ▕███████ ▏ 1.5 GB/3.3 GB 28 MB/s 1m4s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 44% ▕███████ ▏ 1.5 GB/3.3 GB 28 MB/s 1m4s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 44% ▕████████ ▏ 1.5 GB/3.3 GB 28 MB/s 1m4s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 45% ▕████████ ▏ 1.5 GB/3.3 GB 28 MB/s 1m4s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 45% ▕████████ ▏ 1.5 GB/3.3 GB 28 MB/s 1m3s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 45% ▕████████ ▏ 1.5 GB/3.3 GB 28 MB/s 1m3s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 45% ▕████████ ▏ 1.5 GB/3.3 GB 28 MB/s 1m3s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 45% ▕████████ ▏ 1.5 GB/3.3 GB 28 MB/s 1m3s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 45% ▕████████ ▏ 1.5 GB/3.3 GB 28 MB/s 1m3s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 45% ▕████████ ▏ 1.5 GB/3.3 GB 28 MB/s 1m3s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 45% ▕████████ ▏ 1.5 GB/3.3 GB 28 MB/s 1m3s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 45% ▕████████ ▏ 1.5 GB/3.3 GB 28 MB/s 1m3s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 45% ▕████████ ▏ 1.5 GB/3.3 GB 28 MB/s 1m3s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 45% ▕████████ ▏ 1.5 GB/3.3 GB 28 MB/s 1m3s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 46% ▕████████ ▏ 1.5 GB/3.3 GB 28 MB/s 1m3s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 46% ▕████████ ▏ 1.5 GB/3.3 GB 28 MB/s 1m3s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 46% ▕████████ ▏ 1.5 GB/3.3 GB 28 MB/s 1m2s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 46% ▕████████ ▏ 1.5 GB/3.3 GB 28 MB/s 1m2s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 46% ▕████████ ▏ 1.5 GB/3.3 GB 28 MB/s 1m2s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 46% ▕████████ ▏ 1.5 GB/3.3 GB 28 MB/s 1m2s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 46% ▕████████ ▏ 1.5 GB/3.3 GB 28 MB/s 1m2s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 46% ▕████████ ▏ 1.5 GB/3.3 GB 28 MB/s 1m2s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 46% ▕████████ ▏ 1.5 GB/3.3 GB 28 MB/s 1m2s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 46% ▕████████ ▏ 1.5 GB/3.3 GB 28 MB/s 1m2s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 46% ▕████████ ▏ 1.5 GB/3.3 GB 28 MB/s 1m2s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 46% ▕████████ ▏ 1.5 GB/3.3 GB 28 MB/s 1m2s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 47% ▕████████ ▏ 1.6 GB/3.3 GB 28 MB/s 1m1s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 47% ▕████████ ▏ 1.6 GB/3.3 GB 28 MB/s 1m1s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 47% ▕████████ ▏ 1.6 GB/3.3 GB 28 MB/s 1m1s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 47% ▕████████ ▏ 1.6 GB/3.3 GB 28 MB/s 1m1s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 47% ▕████████ ▏ 1.6 GB/3.3 GB 28 MB/s 1m1s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 47% ▕████████ ▏ 1.6 GB/3.3 GB 28 MB/s 1m1s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 47% ▕████████ ▏ 1.6 GB/3.3 GB 28 MB/s 1m1s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 47% ▕████████ ▏ 1.6 GB/3.3 GB 28 MB/s 1m1s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 47% ▕████████ ▏ 1.6 GB/3.3 GB 28 MB/s 1m1s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 47% ▕████████ ▏ 1.6 GB/3.3 GB 28 MB/s 1m1s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 47% ▕████████ ▏ 1.6 GB/3.3 GB 28 MB/s 1m1s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 47% ▕████████ ▏ 1.6 GB/3.3 GB 28 MB/s 1m0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 48% ▕████████ ▏ 1.6 GB/3.3 GB 28 MB/s 1m0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 48% ▕████████ ▏ 1.6 GB/3.3 GB 29 MB/s 1m0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 48% ▕████████ ▏ 1.6 GB/3.3 GB 29 MB/s 59s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 48% ▕████████ ▏ 1.6 GB/3.3 GB 29 MB/s 59s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 48% ▕████████ ▏ 1.6 GB/3.3 GB 29 MB/s 59s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 48% ▕████████ ▏ 1.6 GB/3.3 GB 29 MB/s 59s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 48% ▕████████ ▏ 1.6 GB/3.3 GB 29 MB/s 59s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 48% ▕████████ ▏ 1.6 GB/3.3 GB 29 MB/s 59s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 48% ▕████████ ▏ 1.6 GB/3.3 GB 29 MB/s 59s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 48% ▕████████ ▏ 1.6 GB/3.3 GB 29 MB/s 59s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 48% ▕████████ ▏ 1.6 GB/3.3 GB 29 MB/s 59s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 49% ▕████████ ▏ 1.6 GB/3.3 GB 28 MB/s 59s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 49% ▕████████ ▏ 1.6 GB/3.3 GB 28 MB/s 59s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 49% ▕████████ ▏ 1.6 GB/3.3 GB 28 MB/s 59s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 49% ▕████████ ▏ 1.6 GB/3.3 GB 28 MB/s 58s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 49% ▕████████ ▏ 1.6 GB/3.3 GB 28 MB/s 58s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 49% ▕████████ ▏ 1.6 GB/3.3 GB 28 MB/s 58s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 49% ▕████████ ▏ 1.6 GB/3.3 GB 28 MB/s 58s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 49% ▕████████ ▏ 1.6 GB/3.3 GB 28 MB/s 58s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 49% ▕████████ ▏ 1.6 GB/3.3 GB 28 MB/s 58s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 49% ▕████████ ▏ 1.6 GB/3.3 GB 28 MB/s 58s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 49% ▕████████ ▏ 1.7 GB/3.3 GB 28 MB/s 58s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 50% ▕████████ ▏ 1.7 GB/3.3 GB 28 MB/s 58s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 50% ▕████████ ▏ 1.7 GB/3.3 GB 28 MB/s 58s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 50% ▕████████ ▏ 1.7 GB/3.3 GB 28 MB/s 58s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 50% ▕████████ ▏ 1.7 GB/3.3 GB 28 MB/s 58s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 50% ▕████████ ▏ 1.7 GB/3.3 GB 28 MB/s 58s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 50% ▕████████ ▏ 1.7 GB/3.3 GB 28 MB/s 58s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 50% ▕█████████ ▏ 1.7 GB/3.3 GB 28 MB/s 58s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 50% ▕█████████ ▏ 1.7 GB/3.3 GB 28 MB/s 57s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 50% ▕█████████ ▏ 1.7 GB/3.3 GB 28 MB/s 57s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 50% ▕█████████ ▏ 1.7 GB/3.3 GB 28 MB/s 57s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 50% ▕█████████ ▏ 1.7 GB/3.3 GB 28 MB/s 57s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 51% ▕█████████ ▏ 1.7 GB/3.3 GB 28 MB/s 57s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 51% ▕█████████ ▏ 1.7 GB/3.3 GB 28 MB/s 57s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 51% ▕█████████ ▏ 1.7 GB/3.3 GB 28 MB/s 57s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 51% ▕█████████ ▏ 1.7 GB/3.3 GB 28 MB/s 57s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 51% ▕█████████ ▏ 1.7 GB/3.3 GB 28 MB/s 57s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 51% ▕█████████ ▏ 1.7 GB/3.3 GB 28 MB/s 57s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 51% ▕█████████ ▏ 1.7 GB/3.3 GB 28 MB/s 57s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 51% ▕█████████ ▏ 1.7 GB/3.3 GB 28 MB/s 56s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 51% ▕█████████ ▏ 1.7 GB/3.3 GB 28 MB/s 56s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 51% ▕█████████ ▏ 1.7 GB/3.3 GB 29 MB/s 55s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 51% ▕█████████ ▏ 1.7 GB/3.3 GB 29 MB/s 55s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 51% ▕█████████ ▏ 1.7 GB/3.3 GB 29 MB/s 55s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 52% ▕█████████ ▏ 1.7 GB/3.3 GB 29 MB/s 55s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 52% ▕█████████ ▏ 1.7 GB/3.3 GB 29 MB/s 55s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 52% ▕█████████ ▏ 1.7 GB/3.3 GB 29 MB/s 55s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 52% ▕█████████ ▏ 1.7 GB/3.3 GB 29 MB/s 55s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 52% ▕█████████ ▏ 1.7 GB/3.3 GB 29 MB/s 55s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 52% ▕█████████ ▏ 1.7 GB/3.3 GB 29 MB/s 55s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 52% ▕█████████ ▏ 1.7 GB/3.3 GB 29 MB/s 54s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 52% ▕█████████ ▏ 1.7 GB/3.3 GB 29 MB/s 53s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 52% ▕█████████ ▏ 1.7 GB/3.3 GB 29 MB/s 53s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 52% ▕█████████ ▏ 1.7 GB/3.3 GB 29 MB/s 53s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 52% ▕█████████ ▏ 1.8 GB/3.3 GB 29 MB/s 53s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 53% ▕█████████ ▏ 1.8 GB/3.3 GB 29 MB/s 52s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 53% ▕█████████ ▏ 1.8 GB/3.3 GB 29 MB/s 52s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 53% ▕█████████ ▏ 1.8 GB/3.3 GB 29 MB/s 52s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 53% ▕█████████ ▏ 1.8 GB/3.3 GB 29 MB/s 52s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 53% ▕█████████ ▏ 1.8 GB/3.3 GB 29 MB/s 52s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 53% ▕█████████ ▏ 1.8 GB/3.3 GB 29 MB/s 52s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 53% ▕█████████ ▏ 1.8 GB/3.3 GB 29 MB/s 52s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 53% ▕█████████ ▏ 1.8 GB/3.3 GB 29 MB/s 52s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 53% ▕█████████ ▏ 1.8 GB/3.3 GB 29 MB/s 52s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 53% ▕█████████ ▏ 1.8 GB/3.3 GB 29 MB/s 52s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 53% ▕█████████ ▏ 1.8 GB/3.3 GB 29 MB/s 52s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 53% ▕█████████ ▏ 1.8 GB/3.3 GB 29 MB/s 52s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 54% ▕█████████ ▏ 1.8 GB/3.3 GB 29 MB/s 52s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 54% ▕█████████ ▏ 1.8 GB/3.3 GB 29 MB/s 52s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 54% ▕█████████ ▏ 1.8 GB/3.3 GB 29 MB/s 52s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 54% ▕█████████ ▏ 1.8 GB/3.3 GB 29 MB/s 51s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 54% ▕█████████ ▏ 1.8 GB/3.3 GB 29 MB/s 51s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 54% ▕█████████ ▏ 1.8 GB/3.3 GB 29 MB/s 51s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 54% ▕█████████ ▏ 1.8 GB/3.3 GB 29 MB/s 51s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 54% ▕█████████ ▏ 1.8 GB/3.3 GB 29 MB/s 51s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 54% ▕█████████ ▏ 1.8 GB/3.3 GB 29 MB/s 51s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 54% ▕█████████ ▏ 1.8 GB/3.3 GB 29 MB/s 51s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 54% ▕█████████ ▏ 1.8 GB/3.3 GB 29 MB/s 50s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 54% ▕█████████ ▏ 1.8 GB/3.3 GB 29 MB/s 50s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 55% ▕█████████ ▏ 1.8 GB/3.3 GB 29 MB/s 50s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 55% ▕█████████ ▏ 1.8 GB/3.3 GB 29 MB/s 50s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 55% ▕█████████ ▏ 1.8 GB/3.3 GB 29 MB/s 50s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 55% ▕█████████ ▏ 1.8 GB/3.3 GB 29 MB/s 50s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 55% ▕█████████ ▏ 1.8 GB/3.3 GB 29 MB/s 50s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 55% ▕█████████ ▏ 1.8 GB/3.3 GB 29 MB/s 50s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 55% ▕█████████ ▏ 1.8 GB/3.3 GB 29 MB/s 50s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 55% ▕█████████ ▏ 1.8 GB/3.3 GB 29 MB/s 50s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 55% ▕█████████ ▏ 1.8 GB/3.3 GB 29 MB/s 50s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 55% ▕█████████ ▏ 1.8 GB/3.3 GB 29 MB/s 50s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 55% ▕█████████ ▏ 1.9 GB/3.3 GB 29 MB/s 49s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 55% ▕█████████ ▏ 1.9 GB/3.3 GB 29 MB/s 49s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 56% ▕██████████ ▏ 1.9 GB/3.3 GB 29 MB/s 49s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 56% ▕██████████ ▏ 1.9 GB/3.3 GB 29 MB/s 50s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 56% ▕██████████ ▏ 1.9 GB/3.3 GB 29 MB/s 50s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 56% ▕██████████ ▏ 1.9 GB/3.3 GB 29 MB/s 50s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 56% ▕██████████ ▏ 1.9 GB/3.3 GB 29 MB/s 49s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 56% ▕██████████ ▏ 1.9 GB/3.3 GB 29 MB/s 49s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 56% ▕██████████ ▏ 1.9 GB/3.3 GB 29 MB/s 49s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 56% ▕██████████ ▏ 1.9 GB/3.3 GB 29 MB/s 49s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 56% ▕██████████ ▏ 1.9 GB/3.3 GB 29 MB/s 49s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 56% ▕██████████ ▏ 1.9 GB/3.3 GB 29 MB/s 49s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 56% ▕██████████ ▏ 1.9 GB/3.3 GB 29 MB/s 49s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 56% ▕██████████ ▏ 1.9 GB/3.3 GB 29 MB/s 49s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 57% ▕██████████ ▏ 1.9 GB/3.3 GB 29 MB/s 49s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 57% ▕██████████ ▏ 1.9 GB/3.3 GB 29 MB/s 49s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 57% ▕██████████ ▏ 1.9 GB/3.3 GB 29 MB/s 49s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 57% ▕██████████ ▏ 1.9 GB/3.3 GB 29 MB/s 49s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 57% ▕██████████ ▏ 1.9 GB/3.3 GB 29 MB/s 49s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 57% ▕██████████ ▏ 1.9 GB/3.3 GB 29 MB/s 49s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 57% ▕██████████ ▏ 1.9 GB/3.3 GB 29 MB/s 49s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 57% ▕██████████ ▏ 1.9 GB/3.3 GB 29 MB/s 48s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 57% ▕██████████ ▏ 1.9 GB/3.3 GB 29 MB/s 48s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 57% ▕██████████ ▏ 1.9 GB/3.3 GB 29 MB/s 48s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 57% ▕██████████ ▏ 1.9 GB/3.3 GB 29 MB/s 48s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 57% ▕██████████ ▏ 1.9 GB/3.3 GB 29 MB/s 48s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 58% ▕██████████ ▏ 1.9 GB/3.3 GB 29 MB/s 48s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 58% ▕██████████ ▏ 1.9 GB/3.3 GB 29 MB/s 48s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 58% ▕██████████ ▏ 1.9 GB/3.3 GB 29 MB/s 48s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 58% ▕██████████ ▏ 1.9 GB/3.3 GB 29 MB/s 48s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 58% ▕██████████ ▏ 1.9 GB/3.3 GB 29 MB/s 48s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 58% ▕██████████ ▏ 1.9 GB/3.3 GB 29 MB/s 48s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 58% ▕██████████ ▏ 1.9 GB/3.3 GB 29 MB/s 48s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 58% ▕██████████ ▏ 1.9 GB/3.3 GB 28 MB/s 48s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest 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47s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 59% ▕██████████ ▏ 2.0 GB/3.3 GB 28 MB/s 47s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 59% ▕██████████ ▏ 2.0 GB/3.3 GB 28 MB/s 47s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 59% ▕██████████ ▏ 2.0 GB/3.3 GB 28 MB/s 47s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 59% ▕██████████ ▏ 2.0 GB/3.3 GB 28 MB/s 47s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 59% ▕██████████ ▏ 2.0 GB/3.3 GB 28 MB/s 47s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 59% ▕██████████ ▏ 2.0 GB/3.3 GB 28 MB/s 47s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 59% ▕██████████ ▏ 2.0 GB/3.3 GB 28 MB/s 47s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 59% ▕██████████ ▏ 2.0 GB/3.3 GB 28 MB/s 47s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 59% ▕██████████ ▏ 2.0 GB/3.3 GB 28 MB/s 46s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 60% ▕██████████ ▏ 2.0 GB/3.3 GB 28 MB/s 46s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 60% ▕██████████ ▏ 2.0 GB/3.3 GB 28 MB/s 46s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 60% ▕██████████ ▏ 2.0 GB/3.3 GB 28 MB/s 46s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 60% ▕██████████ ▏ 2.0 GB/3.3 GB 28 MB/s 46s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 60% ▕██████████ ▏ 2.0 GB/3.3 GB 28 MB/s 46s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 60% ▕██████████ ▏ 2.0 GB/3.3 GB 28 MB/s 46s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 60% ▕██████████ ▏ 2.0 GB/3.3 GB 28 MB/s 46s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 60% ▕██████████ ▏ 2.0 GB/3.3 GB 28 MB/s 46s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling 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45s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 61% ▕██████████ ▏ 2.0 GB/3.3 GB 28 MB/s 45s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 61% ▕██████████ ▏ 2.0 GB/3.3 GB 28 MB/s 45s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 61% ▕███████████ ▏ 2.0 GB/3.3 GB 28 MB/s 45s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 61% ▕███████████ ▏ 2.0 GB/3.3 GB 28 MB/s 45s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 61% ▕███████████ ▏ 2.0 GB/3.3 GB 28 MB/s 45s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 61% ▕███████████ ▏ 2.0 GB/3.3 GB 27 MB/s 47s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 61% ▕███████████ ▏ 2.0 GB/3.3 GB 27 MB/s 47s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 61% ▕███████████ ▏ 2.0 GB/3.3 GB 27 MB/s 47s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 61% ▕███████████ ▏ 2.1 GB/3.3 GB 27 MB/s 47s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 62% ▕███████████ ▏ 2.1 GB/3.3 GB 27 MB/s 47s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 62% ▕███████████ ▏ 2.1 GB/3.3 GB 27 MB/s 46s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 62% ▕███████████ ▏ 2.1 GB/3.3 GB 27 MB/s 46s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 62% ▕███████████ ▏ 2.1 GB/3.3 GB 27 MB/s 46s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 62% ▕███████████ ▏ 2.1 GB/3.3 GB 27 MB/s 46s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 62% ▕███████████ ▏ 2.1 GB/3.3 GB 27 MB/s 46s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 62% ▕███████████ ▏ 2.1 GB/3.3 GB 27 MB/s 46s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 62% ▕███████████ ▏ 2.1 GB/3.3 GB 27 MB/s 46s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 62% ▕███████████ ▏ 2.1 GB/3.3 GB 27 MB/s 46s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 62% ▕███████████ ▏ 2.1 GB/3.3 GB 27 MB/s 46s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 62% ▕███████████ ▏ 2.1 GB/3.3 GB 27 MB/s 45s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 63% ▕███████████ ▏ 2.1 GB/3.3 GB 27 MB/s 45s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 63% ▕███████████ ▏ 2.1 GB/3.3 GB 27 MB/s 45s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 63% ▕███████████ ▏ 2.1 GB/3.3 GB 27 MB/s 45s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 63% ▕███████████ ▏ 2.1 GB/3.3 GB 27 MB/s 45s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 63% ▕███████████ ▏ 2.1 GB/3.3 GB 27 MB/s 45s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 63% ▕███████████ ▏ 2.1 GB/3.3 GB 27 MB/s 45s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 63% ▕███████████ ▏ 2.1 GB/3.3 GB 27 MB/s 44s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 63% ▕███████████ ▏ 2.1 GB/3.3 GB 27 MB/s 44s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 63% ▕███████████ ▏ 2.1 GB/3.3 GB 27 MB/s 44s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 63% ▕███████████ ▏ 2.1 GB/3.3 GB 27 MB/s 44s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 63% ▕███████████ ▏ 2.1 GB/3.3 GB 27 MB/s 44s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 63% ▕███████████ ▏ 2.1 GB/3.3 GB 27 MB/s 44s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 64% ▕███████████ ▏ 2.1 GB/3.3 GB 27 MB/s 44s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 64% ▕███████████ ▏ 2.1 GB/3.3 GB 27 MB/s 44s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 64% ▕███████████ ▏ 2.1 GB/3.3 GB 27 MB/s 44s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 64% ▕███████████ ▏ 2.1 GB/3.3 GB 27 MB/s 43s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 64% ▕███████████ ▏ 2.1 GB/3.3 GB 27 MB/s 43s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 64% ▕███████████ ▏ 2.1 GB/3.3 GB 27 MB/s 43s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 64% ▕███████████ ▏ 2.1 GB/3.3 GB 27 MB/s 43s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 64% ▕███████████ ▏ 2.1 GB/3.3 GB 27 MB/s 43s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 64% ▕███████████ ▏ 2.1 GB/3.3 GB 27 MB/s 43s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 64% ▕███████████ ▏ 2.1 GB/3.3 GB 27 MB/s 43s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 64% ▕███████████ ▏ 2.2 GB/3.3 GB 27 MB/s 42s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 65% ▕███████████ ▏ 2.2 GB/3.3 GB 27 MB/s 42s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 65% ▕███████████ ▏ 2.2 GB/3.3 GB 27 MB/s 42s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 65% ▕███████████ ▏ 2.2 GB/3.3 GB 27 MB/s 42s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 65% ▕███████████ ▏ 2.2 GB/3.3 GB 27 MB/s 42s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 65% ▕███████████ ▏ 2.2 GB/3.3 GB 27 MB/s 42s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 65% ▕███████████ ▏ 2.2 GB/3.3 GB 27 MB/s 42s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 65% ▕███████████ ▏ 2.2 GB/3.3 GB 27 MB/s 42s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 65% ▕███████████ ▏ 2.2 GB/3.3 GB 27 MB/s 41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 65% ▕███████████ ▏ 2.2 GB/3.3 GB 27 MB/s 41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 65% ▕███████████ ▏ 2.2 GB/3.3 GB 27 MB/s 41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 65% ▕███████████ ▏ 2.2 GB/3.3 GB 27 MB/s 41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 65% ▕███████████ ▏ 2.2 GB/3.3 GB 27 MB/s 41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 66% ▕███████████ ▏ 2.2 GB/3.3 GB 27 MB/s 41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 66% ▕███████████ ▏ 2.2 GB/3.3 GB 27 MB/s 41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 66% ▕███████████ ▏ 2.2 GB/3.3 GB 27 MB/s 41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 66% ▕███████████ ▏ 2.2 GB/3.3 GB 27 MB/s 41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 66% ▕███████████ ▏ 2.2 GB/3.3 GB 27 MB/s 41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 66% ▕███████████ ▏ 2.2 GB/3.3 GB 27 MB/s 41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 66% ▕███████████ ▏ 2.2 GB/3.3 GB 27 MB/s 41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 66% ▕███████████ ▏ 2.2 GB/3.3 GB 27 MB/s 40s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 66% ▕███████████ ▏ 2.2 GB/3.3 GB 27 MB/s 40s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 66% ▕███████████ ▏ 2.2 GB/3.3 GB 27 MB/s 40s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 66% ▕███████████ ▏ 2.2 GB/3.3 GB 27 MB/s 40s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 66% ▕███████████ ▏ 2.2 GB/3.3 GB 27 MB/s 41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 66% ▕███████████ ▏ 2.2 GB/3.3 GB 27 MB/s 41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 67% ▕███████████ ▏ 2.2 GB/3.3 GB 27 MB/s 41s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 67% ▕███████████ ▏ 2.2 GB/3.3 GB 27 MB/s 40s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 67% ▕████████████ ▏ 2.2 GB/3.3 GB 27 MB/s 40s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 67% ▕████████████ ▏ 2.2 GB/3.3 GB 27 MB/s 40s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 67% ▕████████████ ▏ 2.2 GB/3.3 GB 27 MB/s 40s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 67% ▕████████████ ▏ 2.2 GB/3.3 GB 27 MB/s 40s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 67% ▕████████████ ▏ 2.2 GB/3.3 GB 27 MB/s 40s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 67% ▕████████████ ▏ 2.2 GB/3.3 GB 27 MB/s 40s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 67% ▕████████████ ▏ 2.2 GB/3.3 GB 27 MB/s 40s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 67% ▕████████████ ▏ 2.2 GB/3.3 GB 27 MB/s 39s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 67% ▕████████████ ▏ 2.3 GB/3.3 GB 27 MB/s 39s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 67% ▕████████████ ▏ 2.3 GB/3.3 GB 27 MB/s 39s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 68% ▕████████████ ▏ 2.3 GB/3.3 GB 27 MB/s 39s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 68% ▕████████████ ▏ 2.3 GB/3.3 GB 27 MB/s 39s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 68% ▕████████████ ▏ 2.3 GB/3.3 GB 27 MB/s 39s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 68% ▕████████████ ▏ 2.3 GB/3.3 GB 27 MB/s 39s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 68% ▕████████████ ▏ 2.3 GB/3.3 GB 27 MB/s 39s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 68% ▕████████████ ▏ 2.3 GB/3.3 GB 27 MB/s 39s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 68% ▕████████████ ▏ 2.3 GB/3.3 GB 27 MB/s 39s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 68% ▕████████████ ▏ 2.3 GB/3.3 GB 27 MB/s 38s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 68% ▕████████████ ▏ 2.3 GB/3.3 GB 27 MB/s 38s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 68% ▕████████████ ▏ 2.3 GB/3.3 GB 27 MB/s 38s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 68% ▕████████████ ▏ 2.3 GB/3.3 GB 27 MB/s 38s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 69% ▕████████████ ▏ 2.3 GB/3.3 GB 27 MB/s 38s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 69% ▕████████████ ▏ 2.3 GB/3.3 GB 27 MB/s 37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 69% ▕████████████ ▏ 2.3 GB/3.3 GB 27 MB/s 37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 69% ▕████████████ ▏ 2.3 GB/3.3 GB 27 MB/s 37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 69% ▕████████████ ▏ 2.3 GB/3.3 GB 27 MB/s 37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 69% ▕████████████ ▏ 2.3 GB/3.3 GB 27 MB/s 37s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 69% ▕████████████ ▏ 2.3 GB/3.3 GB 29 MB/s 35s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 69% ▕████████████ ▏ 2.3 GB/3.3 GB 29 MB/s 35s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 69% ▕████████████ ▏ 2.3 GB/3.3 GB 29 MB/s 35s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 69% ▕████████████ ▏ 2.3 GB/3.3 GB 29 MB/s 35s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 69% ▕████████████ ▏ 2.3 GB/3.3 GB 29 MB/s 35s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 69% ▕████████████ ▏ 2.3 GB/3.3 GB 29 MB/s 35s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 70% ▕████████████ ▏ 2.3 GB/3.3 GB 29 MB/s 35s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 70% ▕████████████ ▏ 2.3 GB/3.3 GB 29 MB/s 34s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 70% ▕████████████ ▏ 2.3 GB/3.3 GB 29 MB/s 34s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 70% ▕████████████ ▏ 2.3 GB/3.3 GB 29 MB/s 34s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 70% ▕████████████ ▏ 2.3 GB/3.3 GB 28 MB/s 35s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 70% ▕████████████ ▏ 2.3 GB/3.3 GB 28 MB/s 35s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 70% ▕████████████ ▏ 2.3 GB/3.3 GB 28 MB/s 35s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 70% ▕████████████ ▏ 2.3 GB/3.3 GB 28 MB/s 35s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 70% ▕████████████ ▏ 2.3 GB/3.3 GB 28 MB/s 35s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 70% ▕████████████ ▏ 2.3 GB/3.3 GB 28 MB/s 35s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 70% ▕████████████ ▏ 2.3 GB/3.3 GB 28 MB/s 34s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 70% ▕████████████ ▏ 2.4 GB/3.3 GB 28 MB/s 34s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 70% ▕████████████ ▏ 2.4 GB/3.3 GB 28 MB/s 34s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 71% ▕████████████ ▏ 2.4 GB/3.3 GB 28 MB/s 34s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 71% ▕████████████ ▏ 2.4 GB/3.3 GB 28 MB/s 34s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 71% ▕████████████ ▏ 2.4 GB/3.3 GB 28 MB/s 34s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 71% ▕████████████ ▏ 2.4 GB/3.3 GB 28 MB/s 34s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 71% ▕████████████ ▏ 2.4 GB/3.3 GB 28 MB/s 34s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 71% ▕████████████ ▏ 2.4 GB/3.3 GB 28 MB/s 34s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 71% ▕████████████ ▏ 2.4 GB/3.3 GB 28 MB/s 33s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 71% ▕████████████ ▏ 2.4 GB/3.3 GB 28 MB/s 33s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 71% ▕████████████ ▏ 2.4 GB/3.3 GB 28 MB/s 33s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 71% ▕████████████ ▏ 2.4 GB/3.3 GB 28 MB/s 33s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 71% ▕████████████ ▏ 2.4 GB/3.3 GB 28 MB/s 33s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 72% ▕████████████ ▏ 2.4 GB/3.3 GB 28 MB/s 33s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 72% ▕████████████ ▏ 2.4 GB/3.3 GB 28 MB/s 33s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 72% ▕████████████ ▏ 2.4 GB/3.3 GB 28 MB/s 33s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 72% ▕████████████ ▏ 2.4 GB/3.3 GB 28 MB/s 32s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 72% ▕████████████ ▏ 2.4 GB/3.3 GB 28 MB/s 32s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 72% ▕████████████ ▏ 2.4 GB/3.3 GB 28 MB/s 32s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 72% ▕████████████ ▏ 2.4 GB/3.3 GB 28 MB/s 32s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 72% ▕████████████ ▏ 2.4 GB/3.3 GB 28 MB/s 32s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 72% ▕█████████████ ▏ 2.4 GB/3.3 GB 28 MB/s 32s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 72% ▕█████████████ ▏ 2.4 GB/3.3 GB 28 MB/s 32s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 72% ▕█████████████ ▏ 2.4 GB/3.3 GB 28 MB/s 32s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 73% ▕█████████████ ▏ 2.4 GB/3.3 GB 28 MB/s 32s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 73% ▕█████████████ ▏ 2.4 GB/3.3 GB 28 MB/s 31s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 73% ▕█████████████ ▏ 2.4 GB/3.3 GB 28 MB/s 31s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 73% ▕█████████████ ▏ 2.4 GB/3.3 GB 28 MB/s 31s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 73% ▕█████████████ ▏ 2.4 GB/3.3 GB 28 MB/s 31s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 73% ▕█████████████ ▏ 2.4 GB/3.3 GB 28 MB/s 31s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 73% ▕█████████████ ▏ 2.4 GB/3.3 GB 28 MB/s 31s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 73% ▕█████████████ ▏ 2.4 GB/3.3 GB 28 MB/s 31s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 73% ▕█████████████ ▏ 2.4 GB/3.3 GB 28 MB/s 31s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 73% ▕█████████████ ▏ 2.4 GB/3.3 GB 28 MB/s 31s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 73% ▕█████████████ ▏ 2.4 GB/3.3 GB 28 MB/s 30s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 73% ▕█████████████ ▏ 2.5 GB/3.3 GB 28 MB/s 30s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 74% ▕█████████████ ▏ 2.5 GB/3.3 GB 28 MB/s 30s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 74% ▕█████████████ ▏ 2.5 GB/3.3 GB 28 MB/s 30s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 74% ▕█████████████ ▏ 2.5 GB/3.3 GB 28 MB/s 30s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 74% ▕█████████████ ▏ 2.5 GB/3.3 GB 28 MB/s 30s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 74% ▕█████████████ ▏ 2.5 GB/3.3 GB 28 MB/s 30s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 74% ▕█████████████ ▏ 2.5 GB/3.3 GB 28 MB/s 30s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 74% ▕█████████████ ▏ 2.5 GB/3.3 GB 28 MB/s 30s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 74% ▕█████████████ ▏ 2.5 GB/3.3 GB 28 MB/s 30s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 74% ▕█████████████ ▏ 2.5 GB/3.3 GB 29 MB/s 29s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 74% ▕█████████████ ▏ 2.5 GB/3.3 GB 29 MB/s 29s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 74% ▕█████████████ ▏ 2.5 GB/3.3 GB 29 MB/s 29s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 75% ▕█████████████ ▏ 2.5 GB/3.3 GB 29 MB/s 28s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 75% ▕█████████████ ▏ 2.5 GB/3.3 GB 29 MB/s 28s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 75% ▕█████████████ ▏ 2.5 GB/3.3 GB 29 MB/s 28s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 75% ▕█████████████ ▏ 2.5 GB/3.3 GB 29 MB/s 28s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 75% ▕█████████████ ▏ 2.5 GB/3.3 GB 29 MB/s 28s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 75% ▕█████████████ ▏ 2.5 GB/3.3 GB 29 MB/s 28s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 75% ▕█████████████ ▏ 2.5 GB/3.3 GB 29 MB/s 28s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 75% ▕█████████████ ▏ 2.5 GB/3.3 GB 29 MB/s 28s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 75% ▕█████████████ ▏ 2.5 GB/3.3 GB 29 MB/s 28s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 75% ▕█████████████ ▏ 2.5 GB/3.3 GB 29 MB/s 27s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 75% ▕█████████████ ▏ 2.5 GB/3.3 GB 29 MB/s 27s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 76% ▕█████████████ ▏ 2.5 GB/3.3 GB 29 MB/s 27s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 76% ▕█████████████ ▏ 2.5 GB/3.3 GB 29 MB/s 27s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 76% ▕█████████████ ▏ 2.5 GB/3.3 GB 29 MB/s 27s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 76% ▕█████████████ ▏ 2.5 GB/3.3 GB 29 MB/s 27s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 76% ▕█████████████ ▏ 2.5 GB/3.3 GB 29 MB/s 27s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 76% ▕█████████████ ▏ 2.5 GB/3.3 GB 29 MB/s 27s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 76% ▕█████████████ ▏ 2.5 GB/3.3 GB 29 MB/s 27s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 76% ▕█████████████ ▏ 2.5 GB/3.3 GB 29 MB/s 27s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 76% ▕█████████████ ▏ 2.5 GB/3.3 GB 29 MB/s 26s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 76% ▕█████████████ ▏ 2.5 GB/3.3 GB 29 MB/s 26s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 76% ▕█████████████ ▏ 2.6 GB/3.3 GB 29 MB/s 26s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 77% ▕█████████████ ▏ 2.6 GB/3.3 GB 29 MB/s 26s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 77% ▕█████████████ ▏ 2.6 GB/3.3 GB 29 MB/s 26s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 77% ▕█████████████ ▏ 2.6 GB/3.3 GB 29 MB/s 26s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 77% ▕█████████████ ▏ 2.6 GB/3.3 GB 29 MB/s 26s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 77% ▕█████████████ ▏ 2.6 GB/3.3 GB 29 MB/s 26s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 77% ▕█████████████ ▏ 2.6 GB/3.3 GB 29 MB/s 26s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 77% ▕█████████████ ▏ 2.6 GB/3.3 GB 29 MB/s 26s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 77% ▕█████████████ ▏ 2.6 GB/3.3 GB 29 MB/s 25s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 77% ▕█████████████ ▏ 2.6 GB/3.3 GB 29 MB/s 25s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 77% ▕█████████████ ▏ 2.6 GB/3.3 GB 29 MB/s 25s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 77% ▕█████████████ ▏ 2.6 GB/3.3 GB 29 MB/s 25s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 77% ▕█████████████ ▏ 2.6 GB/3.3 GB 29 MB/s 25s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 78% ▕█████████████ ▏ 2.6 GB/3.3 GB 29 MB/s 25s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 78% ▕█████████████ ▏ 2.6 GB/3.3 GB 29 MB/s 25s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 78% ▕█████████████ ▏ 2.6 GB/3.3 GB 29 MB/s 25s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 78% ▕██████████████ ▏ 2.6 GB/3.3 GB 29 MB/s 25s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 78% ▕██████████████ ▏ 2.6 GB/3.3 GB 29 MB/s 24s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 78% ▕██████████████ ▏ 2.6 GB/3.3 GB 29 MB/s 24s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 78% ▕██████████████ ▏ 2.6 GB/3.3 GB 29 MB/s 24s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 78% ▕██████████████ ▏ 2.6 GB/3.3 GB 29 MB/s 24s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 78% ▕██████████████ ▏ 2.6 GB/3.3 GB 29 MB/s 24s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 78% ▕██████████████ ▏ 2.6 GB/3.3 GB 29 MB/s 24s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 78% ▕██████████████ ▏ 2.6 GB/3.3 GB 29 MB/s 24s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 79% ▕██████████████ ▏ 2.6 GB/3.3 GB 29 MB/s 23s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 79% ▕██████████████ ▏ 2.6 GB/3.3 GB 29 MB/s 23s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 79% ▕██████████████ ▏ 2.6 GB/3.3 GB 29 MB/s 23s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 79% ▕██████████████ ▏ 2.6 GB/3.3 GB 29 MB/s 23s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 79% ▕██████████████ ▏ 2.6 GB/3.3 GB 29 MB/s 23s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest 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23s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 79% ▕██████████████ ▏ 2.6 GB/3.3 GB 29 MB/s 23s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 79% ▕██████████████ ▏ 2.7 GB/3.3 GB 29 MB/s 23s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 80% ▕██████████████ ▏ 2.7 GB/3.3 GB 29 MB/s 23s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 80% ▕██████████████ ▏ 2.7 GB/3.3 GB 29 MB/s 23s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 80% ▕██████████████ ▏ 2.7 GB/3.3 GB 29 MB/s 22s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 80% ▕██████████████ ▏ 2.7 GB/3.3 GB 29 MB/s 22s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 80% ▕██████████████ ▏ 2.7 GB/3.3 GB 29 MB/s 22s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 80% ▕██████████████ ▏ 2.7 GB/3.3 GB 29 MB/s 22s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 80% ▕██████████████ ▏ 2.7 GB/3.3 GB 29 MB/s 22s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 80% ▕██████████████ ▏ 2.7 GB/3.3 GB 29 MB/s 22s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 80% ▕██████████████ ▏ 2.7 GB/3.3 GB 29 MB/s 22s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest 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21s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 81% ▕██████████████ ▏ 2.7 GB/3.3 GB 29 MB/s 21s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 81% ▕██████████████ ▏ 2.7 GB/3.3 GB 29 MB/s 21s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 81% ▕██████████████ ▏ 2.7 GB/3.3 GB 29 MB/s 21s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 81% ▕██████████████ ▏ 2.7 GB/3.3 GB 29 MB/s 21s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 81% ▕██████████████ ▏ 2.7 GB/3.3 GB 29 MB/s 21s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 81% ▕██████████████ ▏ 2.7 GB/3.3 GB 29 MB/s 20s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 81% ▕██████████████ ▏ 2.7 GB/3.3 GB 29 MB/s 20s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 82% ▕██████████████ ▏ 2.7 GB/3.3 GB 29 MB/s 20s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 82% ▕██████████████ ▏ 2.7 GB/3.3 GB 29 MB/s 20s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 82% ▕██████████████ ▏ 2.7 GB/3.3 GB 29 MB/s 20s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 82% ▕██████████████ ▏ 2.7 GB/3.3 GB 29 MB/s 20s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest 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19s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 82% ▕██████████████ ▏ 2.8 GB/3.3 GB 29 MB/s 19s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 83% ▕██████████████ ▏ 2.8 GB/3.3 GB 29 MB/s 19s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 83% ▕██████████████ ▏ 2.8 GB/3.3 GB 29 MB/s 19s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 83% ▕██████████████ ▏ 2.8 GB/3.3 GB 29 MB/s 19s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 83% ▕██████████████ ▏ 2.8 GB/3.3 GB 29 MB/s 19s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 83% ▕██████████████ ▏ 2.8 GB/3.3 GB 29 MB/s 19s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 83% ▕██████████████ ▏ 2.8 GB/3.3 GB 29 MB/s 18s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 83% ▕██████████████ ▏ 2.8 GB/3.3 GB 29 MB/s 18s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 83% ▕██████████████ ▏ 2.8 GB/3.3 GB 29 MB/s 18s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 83% ▕██████████████ ▏ 2.8 GB/3.3 GB 29 MB/s 18s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 83% ▕███████████████ ▏ 2.8 GB/3.3 GB 29 MB/s 18s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 83% ▕███████████████ ▏ 2.8 GB/3.3 GB 29 MB/s 18s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 84% ▕███████████████ ▏ 2.8 GB/3.3 GB 29 MB/s 18s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 84% ▕███████████████ ▏ 2.8 GB/3.3 GB 29 MB/s 18s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 84% ▕███████████████ ▏ 2.8 GB/3.3 GB 29 MB/s 18s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 84% ▕███████████████ ▏ 2.8 GB/3.3 GB 29 MB/s 17s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 84% ▕███████████████ ▏ 2.8 GB/3.3 GB 29 MB/s 17s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 84% ▕███████████████ ▏ 2.8 GB/3.3 GB 29 MB/s 17s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 84% ▕███████████████ ▏ 2.8 GB/3.3 GB 29 MB/s 17s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 84% ▕███████████████ ▏ 2.8 GB/3.3 GB 30 MB/s 17s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 84% ▕███████████████ ▏ 2.8 GB/3.3 GB 30 MB/s 17s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 84% ▕███████████████ ▏ 2.8 GB/3.3 GB 30 MB/s 17s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 84% ▕███████████████ ▏ 2.8 GB/3.3 GB 30 MB/s 17s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 85% ▕███████████████ ▏ 2.8 GB/3.3 GB 30 MB/s 17s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 85% ▕███████████████ ▏ 2.8 GB/3.3 GB 30 MB/s 17s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 85% ▕███████████████ ▏ 2.8 GB/3.3 GB 30 MB/s 16s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 85% ▕███████████████ ▏ 2.8 GB/3.3 GB 30 MB/s 16s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 85% ▕███████████████ ▏ 2.8 GB/3.3 GB 30 MB/s 16s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 85% ▕███████████████ ▏ 2.8 GB/3.3 GB 30 MB/s 16s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 85% ▕███████████████ ▏ 2.8 GB/3.3 GB 30 MB/s 16s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 85% ▕███████████████ ▏ 2.8 GB/3.3 GB 29 MB/s 16s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 85% ▕███████████████ ▏ 2.8 GB/3.3 GB 29 MB/s 16s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 85% ▕███████████████ ▏ 2.8 GB/3.3 GB 29 MB/s 16s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 85% ▕███████████████ ▏ 2.9 GB/3.3 GB 29 MB/s 16s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 85% ▕███████████████ ▏ 2.9 GB/3.3 GB 29 MB/s 16s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 86% ▕███████████████ ▏ 2.9 GB/3.3 GB 29 MB/s 16s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 86% ▕███████████████ ▏ 2.9 GB/3.3 GB 29 MB/s 16s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 86% ▕███████████████ ▏ 2.9 GB/3.3 GB 29 MB/s 15s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 86% ▕███████████████ ▏ 2.9 GB/3.3 GB 29 MB/s 15s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 86% ▕███████████████ ▏ 2.9 GB/3.3 GB 29 MB/s 15s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 86% ▕███████████████ ▏ 2.9 GB/3.3 GB 30 MB/s 15s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 86% ▕███████████████ ▏ 2.9 GB/3.3 GB 30 MB/s 15s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 86% ▕███████████████ ▏ 2.9 GB/3.3 GB 30 MB/s 15s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 86% ▕███████████████ ▏ 2.9 GB/3.3 GB 30 MB/s 15s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 86% ▕███████████████ ▏ 2.9 GB/3.3 GB 30 MB/s 15s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 86% ▕███████████████ ▏ 2.9 GB/3.3 GB 30 MB/s 15s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 87% ▕███████████████ ▏ 2.9 GB/3.3 GB 30 MB/s 14s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 87% ▕███████████████ ▏ 2.9 GB/3.3 GB 30 MB/s 14s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 87% ▕███████████████ ▏ 2.9 GB/3.3 GB 30 MB/s 14s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 87% ▕███████████████ ▏ 2.9 GB/3.3 GB 30 MB/s 14s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 87% ▕███████████████ ▏ 2.9 GB/3.3 GB 30 MB/s 14s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 87% ▕███████████████ ▏ 2.9 GB/3.3 GB 30 MB/s 14s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 87% ▕███████████████ ▏ 2.9 GB/3.3 GB 30 MB/s 14s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 87% ▕███████████████ ▏ 2.9 GB/3.3 GB 30 MB/s 14s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 87% ▕███████████████ ▏ 2.9 GB/3.3 GB 30 MB/s 13s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 87% ▕███████████████ ▏ 2.9 GB/3.3 GB 30 MB/s 13s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 87% ▕███████████████ ▏ 2.9 GB/3.3 GB 30 MB/s 13s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 88% ▕███████████████ ▏ 2.9 GB/3.3 GB 30 MB/s 13s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 88% ▕███████████████ ▏ 2.9 GB/3.3 GB 30 MB/s 13s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 88% ▕███████████████ ▏ 2.9 GB/3.3 GB 30 MB/s 13s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 88% ▕███████████████ ▏ 2.9 GB/3.3 GB 30 MB/s 13s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 88% ▕███████████████ ▏ 2.9 GB/3.3 GB 30 MB/s 13s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 88% ▕███████████████ ▏ 2.9 GB/3.3 GB 30 MB/s 13s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 88% ▕███████████████ ▏ 2.9 GB/3.3 GB 30 MB/s 13s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 88% ▕███████████████ ▏ 2.9 GB/3.3 GB 30 MB/s 13s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 88% ▕███████████████ ▏ 2.9 GB/3.3 GB 30 MB/s 13s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 88% ▕███████████████ ▏ 2.9 GB/3.3 GB 30 MB/s 13s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 88% ▕███████████████ ▏ 2.9 GB/3.3 GB 30 MB/s 12s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 88% ▕███████████████ ▏ 2.9 GB/3.3 GB 30 MB/s 12s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 88% ▕███████████████ ▏ 3.0 GB/3.3 GB 30 MB/s 12s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 89% ▕███████████████ ▏ 3.0 GB/3.3 GB 29 MB/s 12s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 89% ▕███████████████ ▏ 3.0 GB/3.3 GB 29 MB/s 12s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 89% ▕███████████████ ▏ 3.0 GB/3.3 GB 29 MB/s 12s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 89% ▕███████████████ ▏ 3.0 GB/3.3 GB 29 MB/s 12s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 89% ▕████████████████ ▏ 3.0 GB/3.3 GB 29 MB/s 12s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 89% ▕████████████████ ▏ 3.0 GB/3.3 GB 29 MB/s 12s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 89% ▕████████████████ ▏ 3.0 GB/3.3 GB 29 MB/s 12s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 89% ▕████████████████ ▏ 3.0 GB/3.3 GB 29 MB/s 12s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 89% ▕████████████████ ▏ 3.0 GB/3.3 GB 29 MB/s 11s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 89% ▕████████████████ ▏ 3.0 GB/3.3 GB 29 MB/s 11s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 89% ▕████████████████ ▏ 3.0 GB/3.3 GB 29 MB/s 11s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 90% ▕████████████████ ▏ 3.0 GB/3.3 GB 30 MB/s 11s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 90% ▕████████████████ ▏ 3.0 GB/3.3 GB 30 MB/s 11s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 90% ▕████████████████ ▏ 3.0 GB/3.3 GB 30 MB/s 11s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 90% ▕████████████████ ▏ 3.0 GB/3.3 GB 30 MB/s 11s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 90% ▕████████████████ ▏ 3.0 GB/3.3 GB 30 MB/s 11s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 90% ▕████████████████ ▏ 3.0 GB/3.3 GB 30 MB/s 11s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 90% ▕████████████████ ▏ 3.0 GB/3.3 GB 30 MB/s 10s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 90% ▕████████████████ ▏ 3.0 GB/3.3 GB 30 MB/s 10s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 90% ▕████████████████ ▏ 3.0 GB/3.3 GB 30 MB/s 10s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 90% ▕████████████████ ▏ 3.0 GB/3.3 GB 30 MB/s 10s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 91% ▕████████████████ ▏ 3.0 GB/3.3 GB 30 MB/s 10s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 91% ▕████████████████ ▏ 3.0 GB/3.3 GB 30 MB/s 10s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 91% ▕████████████████ ▏ 3.0 GB/3.3 GB 30 MB/s 10s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 91% ▕████████████████ ▏ 3.0 GB/3.3 GB 30 MB/s 10s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 91% ▕████████████████ ▏ 3.0 GB/3.3 GB 30 MB/s 10s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 91% ▕████████████████ ▏ 3.0 GB/3.3 GB 30 MB/s 9s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 91% ▕████████████████ ▏ 3.0 GB/3.3 GB 30 MB/s 9s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 91% ▕████████████████ ▏ 3.0 GB/3.3 GB 30 MB/s 9s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 91% ▕████████████████ ▏ 3.0 GB/3.3 GB 30 MB/s 9s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 91% ▕████████████████ ▏ 3.1 GB/3.3 GB 30 MB/s 9s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 91% ▕████████████████ ▏ 3.1 GB/3.3 GB 30 MB/s 9s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 92% ▕████████████████ ▏ 3.1 GB/3.3 GB 30 MB/s 9s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 92% ▕████████████████ ▏ 3.1 GB/3.3 GB 30 MB/s 9s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 92% ▕████████████████ ▏ 3.1 GB/3.3 GB 30 MB/s 9s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 92% ▕████████████████ ▏ 3.1 GB/3.3 GB 30 MB/s 8s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 92% ▕████████████████ ▏ 3.1 GB/3.3 GB 30 MB/s 8s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 92% ▕████████████████ ▏ 3.1 GB/3.3 GB 30 MB/s 8s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 92% ▕████████████████ ▏ 3.1 GB/3.3 GB 30 MB/s 8s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 92% ▕████████████████ ▏ 3.1 GB/3.3 GB 30 MB/s 8s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 92% ▕████████████████ ▏ 3.1 GB/3.3 GB 30 MB/s 8s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 92% ▕████████████████ ▏ 3.1 GB/3.3 GB 30 MB/s 8s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 93% ▕████████████████ ▏ 3.1 GB/3.3 GB 30 MB/s 8s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 93% ▕████████████████ ▏ 3.1 GB/3.3 GB 30 MB/s 8s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 93% ▕████████████████ ▏ 3.1 GB/3.3 GB 30 MB/s 8s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 93% ▕████████████████ ▏ 3.1 GB/3.3 GB 30 MB/s 7s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 93% ▕████████████████ ▏ 3.1 GB/3.3 GB 30 MB/s 7s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 93% ▕████████████████ ▏ 3.1 GB/3.3 GB 30 MB/s 7s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 93% ▕████████████████ ▏ 3.1 GB/3.3 GB 30 MB/s 7s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 93% ▕████████████████ ▏ 3.1 GB/3.3 GB 30 MB/s 7s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 93% ▕████████████████ ▏ 3.1 GB/3.3 GB 30 MB/s 7s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 93% ▕████████████████ ▏ 3.1 GB/3.3 GB 30 MB/s 7s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 93% ▕████████████████ ▏ 3.1 GB/3.3 GB 30 MB/s 7s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 93% ▕████████████████ ▏ 3.1 GB/3.3 GB 30 MB/s 7s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 94% ▕████████████████ ▏ 3.1 GB/3.3 GB 30 MB/s 7s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 94% ▕████████████████ ▏ 3.1 GB/3.3 GB 30 MB/s 6s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 94% ▕████████████████ ▏ 3.1 GB/3.3 GB 30 MB/s 6s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 94% ▕████████████████ ▏ 3.1 GB/3.3 GB 30 MB/s 6s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 94% ▕████████████████ ▏ 3.1 GB/3.3 GB 30 MB/s 6s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 94% ▕████████████████ ▏ 3.1 GB/3.3 GB 30 MB/s 6s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 94% ▕████████████████ ▏ 3.1 GB/3.3 GB 30 MB/s 6s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 94% ▕████████████████ ▏ 3.1 GB/3.3 GB 30 MB/s 6s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 94% ▕████████████████ ▏ 3.1 GB/3.3 GB 30 MB/s 6s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 94% ▕████████████████ ▏ 3.2 GB/3.3 GB 30 MB/s 6s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 94% ▕█████████████████ ▏ 3.2 GB/3.3 GB 30 MB/s 6s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 95% ▕█████████████████ ▏ 3.2 GB/3.3 GB 30 MB/s 5s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 95% ▕█████████████████ ▏ 3.2 GB/3.3 GB 30 MB/s 5s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 95% ▕█████████████████ ▏ 3.2 GB/3.3 GB 30 MB/s 5s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 95% ▕█████████████████ ▏ 3.2 GB/3.3 GB 30 MB/s 5s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 95% ▕█████████████████ ▏ 3.2 GB/3.3 GB 30 MB/s 5s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 95% ▕█████████████████ ▏ 3.2 GB/3.3 GB 30 MB/s 5s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 95% ▕█████████████████ ▏ 3.2 GB/3.3 GB 30 MB/s 5s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 95% ▕█████████████████ ▏ 3.2 GB/3.3 GB 30 MB/s 5s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 95% ▕█████████████████ ▏ 3.2 GB/3.3 GB 30 MB/s 5s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 95% ▕█████████████████ ▏ 3.2 GB/3.3 GB 30 MB/s 5s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 95% ▕█████████████████ ▏ 3.2 GB/3.3 GB 30 MB/s 5s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 95% ▕█████████████████ ▏ 3.2 GB/3.3 GB 30 MB/s 4s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 96% ▕█████████████████ ▏ 3.2 GB/3.3 GB 30 MB/s 4s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 96% ▕█████████████████ ▏ 3.2 GB/3.3 GB 30 MB/s 4s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 96% ▕█████████████████ ▏ 3.2 GB/3.3 GB 30 MB/s 4s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 96% ▕█████████████████ ▏ 3.2 GB/3.3 GB 30 MB/s 4s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 96% ▕█████████████████ ▏ 3.2 GB/3.3 GB 30 MB/s 4s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 96% ▕█████████████████ ▏ 3.2 GB/3.3 GB 30 MB/s 4s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 96% ▕█████████████████ ▏ 3.2 GB/3.3 GB 30 MB/s 4s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 96% ▕█████████████████ ▏ 3.2 GB/3.3 GB 30 MB/s 4s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 96% ▕█████████████████ ▏ 3.2 GB/3.3 GB 30 MB/s 4s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 96% ▕█████████████████ ▏ 3.2 GB/3.3 GB 30 MB/s 3s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 97% ▕█████████████████ ▏ 3.2 GB/3.3 GB 30 MB/s 3s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 97% ▕█████████████████ ▏ 3.2 GB/3.3 GB 30 MB/s 3s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 97% ▕█████████████████ ▏ 3.2 GB/3.3 GB 30 MB/s 3s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 97% ▕█████████████████ ▏ 3.2 GB/3.3 GB 30 MB/s 3s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 97% ▕█████████████████ ▏ 3.2 GB/3.3 GB 30 MB/s 3s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 97% ▕█████████████████ ▏ 3.2 GB/3.3 GB 30 MB/s 3s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 97% ▕█████████████████ ▏ 3.2 GB/3.3 GB 30 MB/s 3s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 97% ▕█████████████████ ▏ 3.2 GB/3.3 GB 30 MB/s 3s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 97% ▕█████████████████ ▏ 3.2 GB/3.3 GB 30 MB/s 3s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 97% ▕█████████████████ ▏ 3.2 GB/3.3 GB 30 MB/s 3s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 97% ▕█████████████████ ▏ 3.2 GB/3.3 GB 30 MB/s 2s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 97% ▕█████████████████ ▏ 3.3 GB/3.3 GB 30 MB/s 2s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 97% ▕█████████████████ ▏ 3.3 GB/3.3 GB 30 MB/s 2s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 98% ▕█████████████████ ▏ 3.3 GB/3.3 GB 30 MB/s 2s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 98% ▕█████████████████ ▏ 3.3 GB/3.3 GB 30 MB/s 2s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 98% ▕█████████████████ ▏ 3.3 GB/3.3 GB 30 MB/s 2s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 98% ▕█████████████████ ▏ 3.3 GB/3.3 GB 30 MB/s 2s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 98% ▕█████████████████ ▏ 3.3 GB/3.3 GB 30 MB/s 2s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 98% ▕█████████████████ ▏ 3.3 GB/3.3 GB 30 MB/s 2s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 98% ▕█████████████████ ▏ 3.3 GB/3.3 GB 30 MB/s 2s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 98% ▕█████████████████ ▏ 3.3 GB/3.3 GB 30 MB/s 2s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 98% ▕█████████████████ ▏ 3.3 GB/3.3 GB 30 MB/s 1s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 98% ▕█████████████████ ▏ 3.3 GB/3.3 GB 30 MB/s 1s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 98% ▕█████████████████ ▏ 3.3 GB/3.3 GB 30 MB/s 1s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 99% ▕█████████████████ ▏ 3.3 GB/3.3 GB 30 MB/s 1s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 99% ▕█████████████████ ▏ 3.3 GB/3.3 GB 30 MB/s 1s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 99% ▕█████████████████ ▏ 3.3 GB/3.3 GB 30 MB/s 1s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 99% ▕█████████████████ ▏ 3.3 GB/3.3 GB 30 MB/s 1s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 99% ▕█████████████████ ▏ 3.3 GB/3.3 GB 30 MB/s 1s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 99% ▕█████████████████ ▏ 3.3 GB/3.3 GB 30 MB/s 1s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 99% ▕█████████████████ ▏ 3.3 GB/3.3 GB 30 MB/s 1s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 99% ▕█████████████████ ▏ 3.3 GB/3.3 GB 30 MB/s 1s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 99% ▕█████████████████ ▏ 3.3 GB/3.3 GB 30 MB/s 0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 99% ▕█████████████████ ▏ 3.3 GB/3.3 GB 30 MB/s 0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 99% ▕█████████████████ ▏ 3.3 GB/3.3 GB 30 MB/s 0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 99% ▕█████████████████ ▏ 3.3 GB/3.3 GB 30 MB/s 0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 99% ▕█████████████████ ▏ 3.3 GB/3.3 GB 29 MB/s 0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 99% ▕█████████████████ ▏ 3.3 GB/3.3 GB 29 MB/s 0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 99% ▕█████████████████ ▏ 3.3 GB/3.3 GB 29 MB/s 0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 99% ▕█████████████████ ▏ 3.3 GB/3.3 GB 29 MB/s 0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 99% ▕█████████████████ ▏ 3.3 GB/3.3 GB 29 MB/s 0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 99% ▕█████████████████ ▏ 3.3 GB/3.3 GB 29 MB/s 0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 100% ▕█████████████████ ▏ 3.3 GB/3.3 GB 29 MB/s 0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 100% ▕█████████████████ ▏ 3.3 GB/3.3 GB 29 MB/s 0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 100% ▕█████████████████ ▏ 3.3 GB/3.3 GB 29 MB/s 0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 100% ▕█████████████████ ▏ 3.3 GB/3.3 GB 29 MB/s 0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 100% ▕█████████████████ ▏ 3.3 GB/3.3 GB 26 MB/s 0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 100% ▕█████████████████ ▏ 3.3 GB/3.3 GB 26 MB/s 0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 100% ▕█████████████████ ▏ 3.3 GB/3.3 GB 26 MB/s 0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 100% ▕█████████████████ ▏ 3.3 GB/3.3 GB 26 MB/s 0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 100% ▕█████████████████ ▏ 3.3 GB/3.3 GB 26 MB/s 0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 100% ▕█████████████████ ▏ 3.3 GB/3.3 GB 26 MB/s 0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 100% ▕█████████████████ ▏ 3.3 GB/3.3 GB 26 MB/s 0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 100% ▕█████████████████ ▏ 3.3 GB/3.3 GB 26 MB/s 0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 100% ▕██████████████████▏ 3.3 GB 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"pulling aeda25e63ebd: 100% ▕██████████████████▏ 3.3 GB \u001b[K\n", "pulling e0a42594d802: 100% ▕██████████████████▏ 358 B \u001b[K\n", "pulling dd084c7d92a3: 100% ▕██████████████████▏ 8.4 KB \u001b[K\n", "pulling 3116c5225075: 100% ▕██████████████████▏ 77 B \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[A\u001b[A\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 100% ▕██████████████████▏ 3.3 GB \u001b[K\n", "pulling e0a42594d802: 100% ▕██████████████████▏ 358 B \u001b[K\n", "pulling dd084c7d92a3: 100% ▕██████████████████▏ 8.4 KB \u001b[K\n", "pulling 3116c5225075: 100% ▕██████████████████▏ 77 B \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[A\u001b[A\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 100% ▕██████████████████▏ 3.3 GB \u001b[K\n", "pulling e0a42594d802: 100% ▕██████████████████▏ 358 B \u001b[K\n", "pulling dd084c7d92a3: 100% ▕██████████████████▏ 8.4 KB \u001b[K\n", "pulling 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GB \u001b[K\n", "pulling e0a42594d802: 100% ▕██████████████████▏ 358 B \u001b[K\n", "pulling dd084c7d92a3: 100% ▕██████████████████▏ 8.4 KB \u001b[K\n", "pulling 3116c5225075: 100% ▕██████████████████▏ 77 B \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[A\u001b[A\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 100% ▕██████████████████▏ 3.3 GB \u001b[K\n", "pulling e0a42594d802: 100% ▕██████████████████▏ 358 B \u001b[K\n", "pulling dd084c7d92a3: 100% ▕██████████████████▏ 8.4 KB \u001b[K\n", "pulling 3116c5225075: 100% ▕██████████████████▏ 77 B \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[A\u001b[A\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 100% ▕██████████████████▏ 3.3 GB \u001b[K\n", "pulling e0a42594d802: 100% ▕██████████████████▏ 358 B \u001b[K\n", "pulling dd084c7d92a3: 100% ▕██████████████████▏ 8.4 KB \u001b[K\n", "pulling 3116c5225075: 100% ▕██████████████████▏ 77 B 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489 B \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 100% ▕██████████████████▏ 3.3 GB \u001b[K\n", "pulling e0a42594d802: 100% ▕██████████████████▏ 358 B \u001b[K\n", "pulling dd084c7d92a3: 100% ▕██████████████████▏ 8.4 KB \u001b[K\n", "pulling 3116c5225075: 100% ▕██████████████████▏ 77 B \u001b[K\n", "pulling b6ae5839783f: 100% ▕██████████████████▏ 489 B \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 100% ▕██████████████████▏ 3.3 GB \u001b[K\n", "pulling e0a42594d802: 100% ▕██████████████████▏ 358 B \u001b[K\n", "pulling dd084c7d92a3: 100% ▕██████████████████▏ 8.4 KB \u001b[K\n", "pulling 3116c5225075: 100% ▕██████████████████▏ 77 B \u001b[K\n", "pulling b6ae5839783f: 100% ▕██████████████████▏ 489 B 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\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 100% ▕██████████████████▏ 3.3 GB \u001b[K\n", "pulling e0a42594d802: 100% ▕██████████████████▏ 358 B \u001b[K\n", "pulling dd084c7d92a3: 100% ▕██████████████████▏ 8.4 KB \u001b[K\n", "pulling 3116c5225075: 100% ▕██████████████████▏ 77 B \u001b[K\n", "pulling b6ae5839783f: 100% ▕██████████████████▏ 489 B \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 100% ▕██████████████████▏ 3.3 GB \u001b[K\n", "pulling e0a42594d802: 100% ▕██████████████████▏ 358 B \u001b[K\n", "pulling dd084c7d92a3: 100% ▕██████████████████▏ 8.4 KB \u001b[K\n", "pulling 3116c5225075: 100% ▕██████████████████▏ 77 B \u001b[K\n", "pulling b6ae5839783f: 100% ▕██████████████████▏ 489 B \u001b[K\n", "verifying sha256 digest ⠋ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 100% ▕██████████████████▏ 3.3 GB \u001b[K\n", "pulling e0a42594d802: 100% ▕██████████████████▏ 358 B \u001b[K\n", "pulling dd084c7d92a3: 100% ▕██████████████████▏ 8.4 KB \u001b[K\n", "pulling 3116c5225075: 100% ▕██████████████████▏ 77 B \u001b[K\n", "pulling b6ae5839783f: 100% ▕██████████████████▏ 489 B \u001b[K\n", "verifying sha256 digest ⠙ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 100% ▕██████████████████▏ 3.3 GB \u001b[K\n", "pulling e0a42594d802: 100% ▕██████████████████▏ 358 B \u001b[K\n", "pulling dd084c7d92a3: 100% ▕██████████████████▏ 8.4 KB \u001b[K\n", "pulling 3116c5225075: 100% ▕██████████████████▏ 77 B \u001b[K\n", "pulling b6ae5839783f: 100% ▕██████████████████▏ 489 B \u001b[K\n", "verifying sha256 digest ⠹ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 100% ▕██████████████████▏ 3.3 GB \u001b[K\n", "pulling e0a42594d802: 100% ▕██████████████████▏ 358 B \u001b[K\n", "pulling dd084c7d92a3: 100% ▕██████████████████▏ 8.4 KB \u001b[K\n", "pulling 3116c5225075: 100% ▕██████████████████▏ 77 B \u001b[K\n", "pulling b6ae5839783f: 100% ▕██████████████████▏ 489 B \u001b[K\n", "verifying sha256 digest ⠸ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 100% ▕██████████████████▏ 3.3 GB \u001b[K\n", "pulling e0a42594d802: 100% ▕██████████████████▏ 358 B \u001b[K\n", "pulling dd084c7d92a3: 100% ▕██████████████████▏ 8.4 KB \u001b[K\n", "pulling 3116c5225075: 100% ▕██████████████████▏ 77 B \u001b[K\n", "pulling b6ae5839783f: 100% ▕██████████████████▏ 489 B \u001b[K\n", "verifying sha256 digest ⠼ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 100% ▕██████████████████▏ 3.3 GB \u001b[K\n", "pulling e0a42594d802: 100% ▕██████████████████▏ 358 B \u001b[K\n", "pulling dd084c7d92a3: 100% ▕██████████████████▏ 8.4 KB \u001b[K\n", "pulling 3116c5225075: 100% ▕██████████████████▏ 77 B \u001b[K\n", "pulling b6ae5839783f: 100% ▕██████████████████▏ 489 B \u001b[K\n", "verifying sha256 digest ⠴ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 100% ▕██████████████████▏ 3.3 GB \u001b[K\n", "pulling e0a42594d802: 100% ▕██████████████████▏ 358 B \u001b[K\n", "pulling dd084c7d92a3: 100% ▕██████████████████▏ 8.4 KB \u001b[K\n", "pulling 3116c5225075: 100% ▕██████████████████▏ 77 B \u001b[K\n", "pulling b6ae5839783f: 100% ▕██████████████████▏ 489 B \u001b[K\n", "verifying sha256 digest ⠦ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 100% ▕██████████████████▏ 3.3 GB \u001b[K\n", "pulling e0a42594d802: 100% ▕██████████████████▏ 358 B \u001b[K\n", "pulling dd084c7d92a3: 100% ▕██████████████████▏ 8.4 KB \u001b[K\n", "pulling 3116c5225075: 100% ▕██████████████████▏ 77 B \u001b[K\n", "pulling b6ae5839783f: 100% ▕██████████████████▏ 489 B \u001b[K\n", "verifying sha256 digest ⠧ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 100% ▕██████████████████▏ 3.3 GB \u001b[K\n", "pulling e0a42594d802: 100% ▕██████████████████▏ 358 B \u001b[K\n", "pulling dd084c7d92a3: 100% ▕██████████████████▏ 8.4 KB \u001b[K\n", "pulling 3116c5225075: 100% ▕██████████████████▏ 77 B \u001b[K\n", "pulling b6ae5839783f: 100% ▕██████████████████▏ 489 B \u001b[K\n", "verifying sha256 digest ⠇ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 100% ▕██████████████████▏ 3.3 GB \u001b[K\n", "pulling e0a42594d802: 100% ▕██████████████████▏ 358 B \u001b[K\n", "pulling dd084c7d92a3: 100% ▕██████████████████▏ 8.4 KB \u001b[K\n", "pulling 3116c5225075: 100% ▕██████████████████▏ 77 B \u001b[K\n", "pulling b6ae5839783f: 100% ▕██████████████████▏ 489 B \u001b[K\n", "verifying sha256 digest ⠏ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 100% ▕██████████████████▏ 3.3 GB \u001b[K\n", "pulling e0a42594d802: 100% ▕██████████████████▏ 358 B \u001b[K\n", "pulling dd084c7d92a3: 100% ▕██████████████████▏ 8.4 KB \u001b[K\n", "pulling 3116c5225075: 100% ▕██████████████████▏ 77 B \u001b[K\n", "pulling b6ae5839783f: 100% ▕██████████████████▏ 489 B \u001b[K\n", "verifying sha256 digest ⠋ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 100% ▕██████████████████▏ 3.3 GB \u001b[K\n", "pulling e0a42594d802: 100% ▕██████████████████▏ 358 B \u001b[K\n", "pulling dd084c7d92a3: 100% ▕██████████████████▏ 8.4 KB \u001b[K\n", "pulling 3116c5225075: 100% ▕██████████████████▏ 77 B \u001b[K\n", "pulling b6ae5839783f: 100% ▕██████████████████▏ 489 B \u001b[K\n", "verifying sha256 digest ⠙ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 100% ▕██████████████████▏ 3.3 GB \u001b[K\n", "pulling e0a42594d802: 100% ▕██████████████████▏ 358 B \u001b[K\n", "pulling dd084c7d92a3: 100% ▕██████████████████▏ 8.4 KB \u001b[K\n", "pulling 3116c5225075: 100% ▕██████████████████▏ 77 B \u001b[K\n", "pulling b6ae5839783f: 100% ▕██████████████████▏ 489 B \u001b[K\n", "verifying sha256 digest ⠹ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 100% ▕██████████████████▏ 3.3 GB \u001b[K\n", "pulling e0a42594d802: 100% ▕██████████████████▏ 358 B \u001b[K\n", "pulling dd084c7d92a3: 100% ▕██████████████████▏ 8.4 KB \u001b[K\n", "pulling 3116c5225075: 100% ▕██████████████████▏ 77 B \u001b[K\n", "pulling b6ae5839783f: 100% ▕██████████████████▏ 489 B \u001b[K\n", "verifying sha256 digest ⠸ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 100% ▕██████████████████▏ 3.3 GB \u001b[K\n", "pulling e0a42594d802: 100% ▕██████████████████▏ 358 B \u001b[K\n", "pulling dd084c7d92a3: 100% ▕██████████████████▏ 8.4 KB \u001b[K\n", "pulling 3116c5225075: 100% ▕██████████████████▏ 77 B \u001b[K\n", "pulling b6ae5839783f: 100% ▕██████████████████▏ 489 B \u001b[K\n", "verifying sha256 digest ⠼ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 100% ▕██████████████████▏ 3.3 GB \u001b[K\n", "pulling e0a42594d802: 100% ▕██████████████████▏ 358 B \u001b[K\n", "pulling dd084c7d92a3: 100% ▕██████████████████▏ 8.4 KB \u001b[K\n", "pulling 3116c5225075: 100% ▕██████████████████▏ 77 B \u001b[K\n", "pulling b6ae5839783f: 100% ▕██████████████████▏ 489 B \u001b[K\n", "verifying sha256 digest ⠴ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 100% ▕██████████████████▏ 3.3 GB \u001b[K\n", "pulling e0a42594d802: 100% ▕██████████████████▏ 358 B \u001b[K\n", "pulling dd084c7d92a3: 100% ▕██████████████████▏ 8.4 KB \u001b[K\n", "pulling 3116c5225075: 100% ▕██████████████████▏ 77 B \u001b[K\n", "pulling b6ae5839783f: 100% ▕██████████████████▏ 489 B \u001b[K\n", "verifying sha256 digest ⠦ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[1Gpulling manifest \u001b[K\n", "pulling aeda25e63ebd: 100% ▕██████████████████▏ 3.3 GB \u001b[K\n", "pulling e0a42594d802: 100% ▕██████████████████▏ 358 B \u001b[K\n", "pulling dd084c7d92a3: 100% ▕██████████████████▏ 8.4 KB \u001b[K\n", "pulling 3116c5225075: 100% ▕██████████████████▏ 77 B \u001b[K\n", "pulling b6ae5839783f: 100% ▕██████████████████▏ 489 B \u001b[K\n", "verifying sha256 digest \u001b[K\n", "writing manifest \u001b[K\n", "success \u001b[K\u001b[?25h\u001b[?2026l\n" ] } ], "source": [ "!ollama pull gemma3" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "data": { "text/markdown": [ "Designing a system for fairly allocating limited resources is an incredibly complex undertaking, fraught with ethical dilemmas and potential for unintended consequences. Here’s a breakdown of how I’d approach it, incorporating ethical considerations, bias mitigation, and long-term impact analysis:\n", "\n", "**1. Defining the Problem & Scope:**\n", "\n", "* **Identify the Resource:** Be incredibly specific. Is it healthcare, funding for education, housing, disaster relief, or something else? The specific resource dictates the allocation mechanisms.\n", "* **Define “Limited”:** Quantify the scarcity. How much of the resource is genuinely limited, and what are the drivers of that limitation (e.g., natural disaster, economic downturn)?\n", "* **Identify Competing Needs:** Thoroughly map out the diverse societal needs vying for the resource. This goes beyond broad categories like \"healthcare\" – it needs to include specific medical needs, preventative care, mental health support, etc.\n", "* **Set Clear Objectives:** What are we trying to achieve with this allocation process? Maximize overall well-being? Minimize harm? Prioritize certain populations? Clear objectives guide decision-making.\n", "\n", "**2. Establishing Ethical Frameworks:**\n", "\n", "* **Utilitarianism:** (Greatest good for the greatest number) - While tempting, simple cost-benefit analysis can be easily manipulated and doesn’t account for individual rights.\n", "* **Deontology (Rights-Based Ethics):** Focuses on inherent rights and duties. Ensures everyone is treated with dignity and respect, regardless of their circumstances. Principles like non-discrimination are central.\n", "* **Virtue Ethics:** Emphasizes character – what kind of society do we want to create? Promotes fairness, compassion, and justice.\n", "* **Procedural Justice:** The *process* of allocation is just as important as the outcome. Transparency, participation, and accountability are key.\n", "\n", "**3. Addressing Bias & Discrimination:**\n", "\n", "* **Data Audit:** Critically examine the data used to understand need. Historical data often reflects existing inequalities – we need to identify and correct for systemic biases.\n", "* **Intersectionality:** Recognize that individuals experience multiple forms of disadvantage (race, gender, socioeconomic status, disability, etc.). A purely numerical approach will fail to capture these complexities.\n", "* **Blind Review Processes:** Where possible, remove identifiable information from the initial screening stages to mitigate unconscious biases.\n", "* **Diverse Audit Teams:** Employ a diverse team of experts (statisticians, ethicists, social workers, community representatives) to conduct regular audits of the system and its outcomes.\n", "* **Regular Bias Monitoring:** Implement systems for monitoring the allocation process for evidence of bias, and establish clear mechanisms for addressing any detected disparities.\n", "\n", "**4. Allocation Mechanisms – Considering Variety:**\n", "\n", "* **Needs-Based Allocation:** Prioritizing based on demonstrable need (e.g., medical need, poverty level). Complex, but can be effective when robust data is available.\n", "* **Random Allocation:** Can be perceived as fair in the absence of explicit criteria, but doesn’t address underlying inequalities. Best used in conjunction with other methods.\n", "* **Lottery Systems:** Fair in the sense of random selection, but doesn’t consider individual circumstances.\n", "* **Targeted Allocation:** Focusing resources on specific communities identified as needing the most support. Requires careful justification and regular review to avoid stigmatization.\n", "* **Hybrid Approaches:** Combining elements of different mechanisms (e.g., needs-based + lottery) can create a more nuanced system.\n", "\n", "**5. Long-Term Impact Analysis & Feedback Loops:**\n", "\n", "* **Impact Assessments:** Conduct thorough assessments of the allocation system's long-term effects on different communities. This includes social, economic, and psychological impacts.\n", "* **Community Engagement:** Establish ongoing consultation with affected communities – not just for initial design, but continuously throughout the system’s operation. Their lived experience is invaluable.\n", "* **Monitoring & Evaluation:** Track key metrics related to equity, access, and outcomes. Use this data to refine the system over time. \n", "* **Adaptive Management:** Recognize that the system will require adjustments as circumstances change. Be willing to experiment, learn, and adapt.\n", "\n", "\n", "**Key Considerations Throughout:**\n", "\n", "* **Transparency:** The entire process – data collection, decision-making, and outcomes – must be transparent to the public.\n", "* **Accountability:** Establish clear lines of accountability for the system's performance.\n", "* **Political Will:** Fair resource allocation often requires challenging the status quo and addressing powerful interests.\n", "\n", "**Disclaimer:** Designing a truly \"fair\" allocation system is arguably impossible. It’s about striving for the *most just* system possible, acknowledging and addressing inherent limitations and biases.\n", "\n", "---\n", "\n", "To help me refine this response further, could you tell me:\n", "\n", "* What specific resource are you interested in allocating? (e.g., vaccines, disaster relief funds, housing vouchers)\n", "* What context are you considering? (e.g., a pandemic, a natural disaster, a long-term societal challenge)" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ollama = OpenAI(base_url='http://localhost:11434/v1', api_key='ollama')\n", "model_name = \"gemma3\"\n", "\n", "response = ollama.chat.completions.create(model=model_name, messages=messages)\n", "answer = response.choices[0].message.content\n", "\n", "display(Markdown(answer))\n", "competitors.append(model_name)\n", "answers.append(answer)" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['gpt-4o-mini', 'llama3.2', 'gemma3']\n", "['Designing a system for the fair allocation of limited resources among competing societal needs is a complex task that involves multiple ethical, social, and practical considerations. Here’s an approach to structuring such a system:\\n\\n### 1. Define Objectives and Principles\\n\\n**a. Establish Clear Goals:** Start by defining what the system aims to achieve. Is the priority maximizing overall well-being, ensuring equity, protecting vulnerable populations, or encouraging sustainable practices?\\n\\n**b. Ethical Frameworks:** Ground the allocation system in ethical principles, such as:\\n- **Justice:** Ensure fair treatment and equitable distribution.\\n- **Utility:** Aim for the greatest good for the greatest number.\\n- **Need:** Prioritize those with the greatest need.\\n- **Participation:** Involve stakeholders in decision-making processes.\\n\\n### 2. Stakeholder Engagement\\n\\n**a. Inclusivity:** Bring together a diverse group of stakeholders, including community representatives, experts, policymakers, and marginalized groups. This diversity will help ensure that different perspectives are addressed.\\n\\n**b. Participatory Design:** Develop mechanisms for incorporating stakeholder feedback into the design and governance of the system. This could involve deliberative polls, town hall meetings, or focus groups.\\n\\n### 3. Data Collection and Analysis\\n\\n**a. Comprehensive Data Gathering:** Use quantitative and qualitative data to understand the needs, challenges, and potential impacts of resource allocation decisions. This could include demographic data, socioeconomic indicators, and community feedback.\\n\\n**b. Identify Biases:** Analyze data for biases that might affect resource allocation (e.g., historical inequities, discrimination). Use statistical methods to adjust for these biases.\\n\\n### 4. Methodological Framework for Allocation\\n\\n**a. Developing Criteria for Allocation:** Create a transparent set of criteria for prioritizing resource distribution. For instance:\\n- Severity of need\\n- Potential for impact\\n- Return on investment (not just financially, but in social terms)\\n- Long-term sustainability\\n\\n**b. Algorithmic Approaches:** If using algorithms for allocation:\\n- Ensure they are explainable and accountable.\\n- Continually test for biases and correct them.\\n- Allow human oversight in critical decisions.\\n\\n### 5. Allocation Model Implementation\\n\\n**a. Pilot Programs:** Implement pilot programs to test the allocation system in smaller communities before broader application. This will allow for adjustments based on real-world outcomes.\\n\\n**b. Adaptive Management:** Build in mechanisms for continual assessment and adjustment of the allocation model based on feedback and changing societal conditions.\\n\\n### 6. Transparency and Accountability\\n\\n**a. Open Communication:** Provide clear, accessible information about how decisions are made, the criteria used, and the outcomes of resource allocations.\\n\\n**b. Oversight Mechanisms:** Establish independent review boards or stakeholder oversight committees to monitor the allocation process and address any grievances.\\n\\n### 7. Monitor and Evaluate Long-Term Effects\\n\\n**a. Longitudinal Studies:** Conduct studies to assess the long-term effects of resource allocation on different communities. Evaluations should consider social, economic, health, and environmental impacts.\\n\\n**b. Feedback Loops:** Create mechanisms for ongoing stakeholder feedback and incorporate this feedback into future decision-making processes.\\n\\n### 8. Ethical Reflection and Iteration\\n\\n**a. Continuous Ethical Review:** Regularly review the ethical implications of your allocation system. Engage ethicists to consider whether the system is serving its intended goals and to reflect on potential unintended consequences.\\n\\n**b. Iterative Improvements:** Be prepared to iterate on the framework based on new findings, societal changes, and emerging needs.\\n\\n### Conclusion\\n\\nIn approaching the design of a resource allocation system, it is essential to prioritize fairness, inclusivity, and responsiveness to the needs of diverse communities. This requires not only a robust analytical framework to guide decision-making but also a commitment to ethical practices and ongoing engagement with affected populations. By doing so, we can work toward solutions that not only address immediate needs but also promote long-term equity and sustainability.', \"Designing a fair and equitable system for allocating limited resources that considers ethical implications, potential biases, and long-term effects on different communities requires a multi-faceted approach. Here are some steps to approach this complex issue:\\n\\n1. Define the resources and needs: Identify the specific resources to be allocated, such as healthcare, education, water, or housing. Determine the competing societal needs that require these resources.\\n2. Conduct a comprehensive needs assessment: Gather data on the current needs of each community, including demographics, socioeconomic indicators, and existing resource allocation. This will help identify areas of imbalance and potential disparities.\\n3. Develop a set of evaluation criteria: Establish clear and objective criteria for evaluating the relative importance and urgency of different societal needs. Consider factors such as need level, impact, and fairness.\\n4. Incorporate diverse stakeholder perspectives: Engage with representatives from various community groups, experts, and stakeholders to ensure that diverse voices are heard and considered. This can include community members, local leaders, healthcare professionals, educators, and policymakers.\\n5. Implement a transparent and participatory process: Develop a transparent and inclusive decision-making process that allows for public input, feedback, and monitoring. This could include regular updates on resource allocation decisions and adjustments to the criteria.\\n6. Address potential biases: Implement measures to mitigate biases in the evaluation criteria and decision-making process. Consider using diverse metrics or weights for each criterion to ensure fairness.\\n7. Ensure long-term sustainability: Factor in the long-term effects of resource distribution across different communities. Consider policies that promote intergenerational equity, adaptability, and resilience.\\n8. Regularly review and update the system: Continuously evaluate the effectiveness of the allocation system and make adjustments as needed.\\n\\nTo address ethical considerations:\\n\\n1. Define fairness and equity frameworks: Develop a clear understanding of what fairness and equity mean in this context.\\n2. Use evidence-based approaches: Ground decision-making processes in empirical research, data analysis, and expert opinions.\\n3. Consider cultural humility: Recognize the diversity of community needs and values.\\n4. Prioritize human well-being: Ensure resource allocation prioritizes human well-being over economic interests.\\n\\nTo address potential biases:\\n\\n1. Establish diverse evaluators' pools: Include experts with diverse backgrounds, expertise, and experiences in decision-making processes.\\n2. Monitor power dynamics: Consider the impact of social and political structures on resource distribution and implement mechanisms to mitigate them.\\n3. Use data analysis tools: Utilize statistical methods and machine learning techniques to minimize subjective bias.\\n\\nTo address the long-term effects:\\n\\n1. Conduct horizon scanning: Regularly monitor changes in societal needs, technological advancements, and environmental shifts.\\n2. Foster collaborative governance: Encourage intersectoral coordination, participatory processes, and stakeholder engagement to ensure resource distribution aligns with community needs over time.\\n\\nBy considering these steps and ongoing adjustments, a system for allocating limited resources among competing societal demands can be designed that balances fairness, equity, and long-term sustainability, promoting an equitable society that accounts for diverse needs.\", 'Designing a system for fairly allocating limited resources is an incredibly complex undertaking, fraught with ethical dilemmas and potential for unintended consequences. Here’s a breakdown of how I’d approach it, incorporating ethical considerations, bias mitigation, and long-term impact analysis:\\n\\n**1. Defining the Problem & Scope:**\\n\\n* **Identify the Resource:** Be incredibly specific. Is it healthcare, funding for education, housing, disaster relief, or something else? The specific resource dictates the allocation mechanisms.\\n* **Define “Limited”:** Quantify the scarcity. How much of the resource is genuinely limited, and what are the drivers of that limitation (e.g., natural disaster, economic downturn)?\\n* **Identify Competing Needs:** Thoroughly map out the diverse societal needs vying for the resource. This goes beyond broad categories like \"healthcare\" – it needs to include specific medical needs, preventative care, mental health support, etc.\\n* **Set Clear Objectives:** What are we trying to achieve with this allocation process? Maximize overall well-being? Minimize harm? Prioritize certain populations? Clear objectives guide decision-making.\\n\\n**2. Establishing Ethical Frameworks:**\\n\\n* **Utilitarianism:** (Greatest good for the greatest number) - While tempting, simple cost-benefit analysis can be easily manipulated and doesn’t account for individual rights.\\n* **Deontology (Rights-Based Ethics):** Focuses on inherent rights and duties. Ensures everyone is treated with dignity and respect, regardless of their circumstances. Principles like non-discrimination are central.\\n* **Virtue Ethics:** Emphasizes character – what kind of society do we want to create? Promotes fairness, compassion, and justice.\\n* **Procedural Justice:** The *process* of allocation is just as important as the outcome. Transparency, participation, and accountability are key.\\n\\n**3. Addressing Bias & Discrimination:**\\n\\n* **Data Audit:** Critically examine the data used to understand need. Historical data often reflects existing inequalities – we need to identify and correct for systemic biases.\\n* **Intersectionality:** Recognize that individuals experience multiple forms of disadvantage (race, gender, socioeconomic status, disability, etc.). A purely numerical approach will fail to capture these complexities.\\n* **Blind Review Processes:** Where possible, remove identifiable information from the initial screening stages to mitigate unconscious biases.\\n* **Diverse Audit Teams:** Employ a diverse team of experts (statisticians, ethicists, social workers, community representatives) to conduct regular audits of the system and its outcomes.\\n* **Regular Bias Monitoring:** Implement systems for monitoring the allocation process for evidence of bias, and establish clear mechanisms for addressing any detected disparities.\\n\\n**4. Allocation Mechanisms – Considering Variety:**\\n\\n* **Needs-Based Allocation:** Prioritizing based on demonstrable need (e.g., medical need, poverty level). Complex, but can be effective when robust data is available.\\n* **Random Allocation:** Can be perceived as fair in the absence of explicit criteria, but doesn’t address underlying inequalities. Best used in conjunction with other methods.\\n* **Lottery Systems:** Fair in the sense of random selection, but doesn’t consider individual circumstances.\\n* **Targeted Allocation:** Focusing resources on specific communities identified as needing the most support. Requires careful justification and regular review to avoid stigmatization.\\n* **Hybrid Approaches:** Combining elements of different mechanisms (e.g., needs-based + lottery) can create a more nuanced system.\\n\\n**5. Long-Term Impact Analysis & Feedback Loops:**\\n\\n* **Impact Assessments:** Conduct thorough assessments of the allocation system\\'s long-term effects on different communities. This includes social, economic, and psychological impacts.\\n* **Community Engagement:** Establish ongoing consultation with affected communities – not just for initial design, but continuously throughout the system’s operation. Their lived experience is invaluable.\\n* **Monitoring & Evaluation:** Track key metrics related to equity, access, and outcomes. Use this data to refine the system over time. \\n* **Adaptive Management:** Recognize that the system will require adjustments as circumstances change. Be willing to experiment, learn, and adapt.\\n\\n\\n**Key Considerations Throughout:**\\n\\n* **Transparency:** The entire process – data collection, decision-making, and outcomes – must be transparent to the public.\\n* **Accountability:** Establish clear lines of accountability for the system\\'s performance.\\n* **Political Will:** Fair resource allocation often requires challenging the status quo and addressing powerful interests.\\n\\n**Disclaimer:** Designing a truly \"fair\" allocation system is arguably impossible. It’s about striving for the *most just* system possible, acknowledging and addressing inherent limitations and biases.\\n\\n---\\n\\nTo help me refine this response further, could you tell me:\\n\\n* What specific resource are you interested in allocating? (e.g., vaccines, disaster relief funds, housing vouchers)\\n* What context are you considering? (e.g., a pandemic, a natural disaster, a long-term societal challenge)']\n" ] } ], "source": [ "# So where are we?\n", "\n", "print(competitors)\n", "print(answers)\n" ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Competitor: gpt-4o-mini\n", "\n", "Designing a system for the fair allocation of limited resources among competing societal needs is a complex task that involves multiple ethical, social, and practical considerations. Here’s an approach to structuring such a system:\n", "\n", "### 1. Define Objectives and Principles\n", "\n", "**a. Establish Clear Goals:** Start by defining what the system aims to achieve. Is the priority maximizing overall well-being, ensuring equity, protecting vulnerable populations, or encouraging sustainable practices?\n", "\n", "**b. Ethical Frameworks:** Ground the allocation system in ethical principles, such as:\n", "- **Justice:** Ensure fair treatment and equitable distribution.\n", "- **Utility:** Aim for the greatest good for the greatest number.\n", "- **Need:** Prioritize those with the greatest need.\n", "- **Participation:** Involve stakeholders in decision-making processes.\n", "\n", "### 2. Stakeholder Engagement\n", "\n", "**a. Inclusivity:** Bring together a diverse group of stakeholders, including community representatives, experts, policymakers, and marginalized groups. This diversity will help ensure that different perspectives are addressed.\n", "\n", "**b. Participatory Design:** Develop mechanisms for incorporating stakeholder feedback into the design and governance of the system. This could involve deliberative polls, town hall meetings, or focus groups.\n", "\n", "### 3. Data Collection and Analysis\n", "\n", "**a. Comprehensive Data Gathering:** Use quantitative and qualitative data to understand the needs, challenges, and potential impacts of resource allocation decisions. This could include demographic data, socioeconomic indicators, and community feedback.\n", "\n", "**b. Identify Biases:** Analyze data for biases that might affect resource allocation (e.g., historical inequities, discrimination). Use statistical methods to adjust for these biases.\n", "\n", "### 4. Methodological Framework for Allocation\n", "\n", "**a. Developing Criteria for Allocation:** Create a transparent set of criteria for prioritizing resource distribution. For instance:\n", "- Severity of need\n", "- Potential for impact\n", "- Return on investment (not just financially, but in social terms)\n", "- Long-term sustainability\n", "\n", "**b. Algorithmic Approaches:** If using algorithms for allocation:\n", "- Ensure they are explainable and accountable.\n", "- Continually test for biases and correct them.\n", "- Allow human oversight in critical decisions.\n", "\n", "### 5. Allocation Model Implementation\n", "\n", "**a. Pilot Programs:** Implement pilot programs to test the allocation system in smaller communities before broader application. This will allow for adjustments based on real-world outcomes.\n", "\n", "**b. Adaptive Management:** Build in mechanisms for continual assessment and adjustment of the allocation model based on feedback and changing societal conditions.\n", "\n", "### 6. Transparency and Accountability\n", "\n", "**a. Open Communication:** Provide clear, accessible information about how decisions are made, the criteria used, and the outcomes of resource allocations.\n", "\n", "**b. Oversight Mechanisms:** Establish independent review boards or stakeholder oversight committees to monitor the allocation process and address any grievances.\n", "\n", "### 7. Monitor and Evaluate Long-Term Effects\n", "\n", "**a. Longitudinal Studies:** Conduct studies to assess the long-term effects of resource allocation on different communities. Evaluations should consider social, economic, health, and environmental impacts.\n", "\n", "**b. Feedback Loops:** Create mechanisms for ongoing stakeholder feedback and incorporate this feedback into future decision-making processes.\n", "\n", "### 8. Ethical Reflection and Iteration\n", "\n", "**a. Continuous Ethical Review:** Regularly review the ethical implications of your allocation system. Engage ethicists to consider whether the system is serving its intended goals and to reflect on potential unintended consequences.\n", "\n", "**b. Iterative Improvements:** Be prepared to iterate on the framework based on new findings, societal changes, and emerging needs.\n", "\n", "### Conclusion\n", "\n", "In approaching the design of a resource allocation system, it is essential to prioritize fairness, inclusivity, and responsiveness to the needs of diverse communities. This requires not only a robust analytical framework to guide decision-making but also a commitment to ethical practices and ongoing engagement with affected populations. By doing so, we can work toward solutions that not only address immediate needs but also promote long-term equity and sustainability.\n", "Competitor: llama3.2\n", "\n", "Designing a fair and equitable system for allocating limited resources that considers ethical implications, potential biases, and long-term effects on different communities requires a multi-faceted approach. Here are some steps to approach this complex issue:\n", "\n", "1. Define the resources and needs: Identify the specific resources to be allocated, such as healthcare, education, water, or housing. Determine the competing societal needs that require these resources.\n", "2. Conduct a comprehensive needs assessment: Gather data on the current needs of each community, including demographics, socioeconomic indicators, and existing resource allocation. This will help identify areas of imbalance and potential disparities.\n", "3. Develop a set of evaluation criteria: Establish clear and objective criteria for evaluating the relative importance and urgency of different societal needs. Consider factors such as need level, impact, and fairness.\n", "4. Incorporate diverse stakeholder perspectives: Engage with representatives from various community groups, experts, and stakeholders to ensure that diverse voices are heard and considered. This can include community members, local leaders, healthcare professionals, educators, and policymakers.\n", "5. Implement a transparent and participatory process: Develop a transparent and inclusive decision-making process that allows for public input, feedback, and monitoring. This could include regular updates on resource allocation decisions and adjustments to the criteria.\n", "6. Address potential biases: Implement measures to mitigate biases in the evaluation criteria and decision-making process. Consider using diverse metrics or weights for each criterion to ensure fairness.\n", "7. Ensure long-term sustainability: Factor in the long-term effects of resource distribution across different communities. Consider policies that promote intergenerational equity, adaptability, and resilience.\n", "8. Regularly review and update the system: Continuously evaluate the effectiveness of the allocation system and make adjustments as needed.\n", "\n", "To address ethical considerations:\n", "\n", "1. Define fairness and equity frameworks: Develop a clear understanding of what fairness and equity mean in this context.\n", "2. Use evidence-based approaches: Ground decision-making processes in empirical research, data analysis, and expert opinions.\n", "3. Consider cultural humility: Recognize the diversity of community needs and values.\n", "4. Prioritize human well-being: Ensure resource allocation prioritizes human well-being over economic interests.\n", "\n", "To address potential biases:\n", "\n", "1. Establish diverse evaluators' pools: Include experts with diverse backgrounds, expertise, and experiences in decision-making processes.\n", "2. Monitor power dynamics: Consider the impact of social and political structures on resource distribution and implement mechanisms to mitigate them.\n", "3. Use data analysis tools: Utilize statistical methods and machine learning techniques to minimize subjective bias.\n", "\n", "To address the long-term effects:\n", "\n", "1. Conduct horizon scanning: Regularly monitor changes in societal needs, technological advancements, and environmental shifts.\n", "2. Foster collaborative governance: Encourage intersectoral coordination, participatory processes, and stakeholder engagement to ensure resource distribution aligns with community needs over time.\n", "\n", "By considering these steps and ongoing adjustments, a system for allocating limited resources among competing societal demands can be designed that balances fairness, equity, and long-term sustainability, promoting an equitable society that accounts for diverse needs.\n", "Competitor: gemma3\n", "\n", "Designing a system for fairly allocating limited resources is an incredibly complex undertaking, fraught with ethical dilemmas and potential for unintended consequences. Here’s a breakdown of how I’d approach it, incorporating ethical considerations, bias mitigation, and long-term impact analysis:\n", "\n", "**1. Defining the Problem & Scope:**\n", "\n", "* **Identify the Resource:** Be incredibly specific. Is it healthcare, funding for education, housing, disaster relief, or something else? The specific resource dictates the allocation mechanisms.\n", "* **Define “Limited”:** Quantify the scarcity. How much of the resource is genuinely limited, and what are the drivers of that limitation (e.g., natural disaster, economic downturn)?\n", "* **Identify Competing Needs:** Thoroughly map out the diverse societal needs vying for the resource. This goes beyond broad categories like \"healthcare\" – it needs to include specific medical needs, preventative care, mental health support, etc.\n", "* **Set Clear Objectives:** What are we trying to achieve with this allocation process? Maximize overall well-being? Minimize harm? Prioritize certain populations? Clear objectives guide decision-making.\n", "\n", "**2. Establishing Ethical Frameworks:**\n", "\n", "* **Utilitarianism:** (Greatest good for the greatest number) - While tempting, simple cost-benefit analysis can be easily manipulated and doesn’t account for individual rights.\n", "* **Deontology (Rights-Based Ethics):** Focuses on inherent rights and duties. Ensures everyone is treated with dignity and respect, regardless of their circumstances. Principles like non-discrimination are central.\n", "* **Virtue Ethics:** Emphasizes character – what kind of society do we want to create? Promotes fairness, compassion, and justice.\n", "* **Procedural Justice:** The *process* of allocation is just as important as the outcome. Transparency, participation, and accountability are key.\n", "\n", "**3. Addressing Bias & Discrimination:**\n", "\n", "* **Data Audit:** Critically examine the data used to understand need. Historical data often reflects existing inequalities – we need to identify and correct for systemic biases.\n", "* **Intersectionality:** Recognize that individuals experience multiple forms of disadvantage (race, gender, socioeconomic status, disability, etc.). A purely numerical approach will fail to capture these complexities.\n", "* **Blind Review Processes:** Where possible, remove identifiable information from the initial screening stages to mitigate unconscious biases.\n", "* **Diverse Audit Teams:** Employ a diverse team of experts (statisticians, ethicists, social workers, community representatives) to conduct regular audits of the system and its outcomes.\n", "* **Regular Bias Monitoring:** Implement systems for monitoring the allocation process for evidence of bias, and establish clear mechanisms for addressing any detected disparities.\n", "\n", "**4. Allocation Mechanisms – Considering Variety:**\n", "\n", "* **Needs-Based Allocation:** Prioritizing based on demonstrable need (e.g., medical need, poverty level). Complex, but can be effective when robust data is available.\n", "* **Random Allocation:** Can be perceived as fair in the absence of explicit criteria, but doesn’t address underlying inequalities. Best used in conjunction with other methods.\n", "* **Lottery Systems:** Fair in the sense of random selection, but doesn’t consider individual circumstances.\n", "* **Targeted Allocation:** Focusing resources on specific communities identified as needing the most support. Requires careful justification and regular review to avoid stigmatization.\n", "* **Hybrid Approaches:** Combining elements of different mechanisms (e.g., needs-based + lottery) can create a more nuanced system.\n", "\n", "**5. Long-Term Impact Analysis & Feedback Loops:**\n", "\n", "* **Impact Assessments:** Conduct thorough assessments of the allocation system's long-term effects on different communities. This includes social, economic, and psychological impacts.\n", "* **Community Engagement:** Establish ongoing consultation with affected communities – not just for initial design, but continuously throughout the system’s operation. Their lived experience is invaluable.\n", "* **Monitoring & Evaluation:** Track key metrics related to equity, access, and outcomes. Use this data to refine the system over time. \n", "* **Adaptive Management:** Recognize that the system will require adjustments as circumstances change. Be willing to experiment, learn, and adapt.\n", "\n", "\n", "**Key Considerations Throughout:**\n", "\n", "* **Transparency:** The entire process – data collection, decision-making, and outcomes – must be transparent to the public.\n", "* **Accountability:** Establish clear lines of accountability for the system's performance.\n", "* **Political Will:** Fair resource allocation often requires challenging the status quo and addressing powerful interests.\n", "\n", "**Disclaimer:** Designing a truly \"fair\" allocation system is arguably impossible. It’s about striving for the *most just* system possible, acknowledging and addressing inherent limitations and biases.\n", "\n", "---\n", "\n", "To help me refine this response further, could you tell me:\n", "\n", "* What specific resource are you interested in allocating? (e.g., vaccines, disaster relief funds, housing vouchers)\n", "* What context are you considering? (e.g., a pandemic, a natural disaster, a long-term societal challenge)\n" ] } ], "source": [ "# It's nice to know how to use \"zip\"\n", "for competitor, answer in zip(competitors, answers):\n", " print(f\"Competitor: {competitor}\\n\\n{answer}\")\n" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [], "source": [ "# Let's bring this together - note the use of \"enumerate\"\n", "\n", "together = \"\"\n", "for index, answer in enumerate(answers):\n", " together += f\"# Response from competitor {index+1}\\n\\n\"\n", " together += answer + \"\\n\\n\"" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "# Response from competitor 1\n", "\n", "Designing a system for the fair allocation of limited resources among competing societal needs is a complex task that involves multiple ethical, social, and practical considerations. Here’s an approach to structuring such a system:\n", "\n", "### 1. Define Objectives and Principles\n", "\n", "**a. Establish Clear Goals:** Start by defining what the system aims to achieve. Is the priority maximizing overall well-being, ensuring equity, protecting vulnerable populations, or encouraging sustainable practices?\n", "\n", "**b. Ethical Frameworks:** Ground the allocation system in ethical principles, such as:\n", "- **Justice:** Ensure fair treatment and equitable distribution.\n", "- **Utility:** Aim for the greatest good for the greatest number.\n", "- **Need:** Prioritize those with the greatest need.\n", "- **Participation:** Involve stakeholders in decision-making processes.\n", "\n", "### 2. Stakeholder Engagement\n", "\n", "**a. Inclusivity:** Bring together a diverse group of stakeholders, including community representatives, experts, policymakers, and marginalized groups. This diversity will help ensure that different perspectives are addressed.\n", "\n", "**b. Participatory Design:** Develop mechanisms for incorporating stakeholder feedback into the design and governance of the system. This could involve deliberative polls, town hall meetings, or focus groups.\n", "\n", "### 3. Data Collection and Analysis\n", "\n", "**a. Comprehensive Data Gathering:** Use quantitative and qualitative data to understand the needs, challenges, and potential impacts of resource allocation decisions. This could include demographic data, socioeconomic indicators, and community feedback.\n", "\n", "**b. Identify Biases:** Analyze data for biases that might affect resource allocation (e.g., historical inequities, discrimination). Use statistical methods to adjust for these biases.\n", "\n", "### 4. Methodological Framework for Allocation\n", "\n", "**a. Developing Criteria for Allocation:** Create a transparent set of criteria for prioritizing resource distribution. For instance:\n", "- Severity of need\n", "- Potential for impact\n", "- Return on investment (not just financially, but in social terms)\n", "- Long-term sustainability\n", "\n", "**b. Algorithmic Approaches:** If using algorithms for allocation:\n", "- Ensure they are explainable and accountable.\n", "- Continually test for biases and correct them.\n", "- Allow human oversight in critical decisions.\n", "\n", "### 5. Allocation Model Implementation\n", "\n", "**a. Pilot Programs:** Implement pilot programs to test the allocation system in smaller communities before broader application. This will allow for adjustments based on real-world outcomes.\n", "\n", "**b. Adaptive Management:** Build in mechanisms for continual assessment and adjustment of the allocation model based on feedback and changing societal conditions.\n", "\n", "### 6. Transparency and Accountability\n", "\n", "**a. Open Communication:** Provide clear, accessible information about how decisions are made, the criteria used, and the outcomes of resource allocations.\n", "\n", "**b. Oversight Mechanisms:** Establish independent review boards or stakeholder oversight committees to monitor the allocation process and address any grievances.\n", "\n", "### 7. Monitor and Evaluate Long-Term Effects\n", "\n", "**a. Longitudinal Studies:** Conduct studies to assess the long-term effects of resource allocation on different communities. Evaluations should consider social, economic, health, and environmental impacts.\n", "\n", "**b. Feedback Loops:** Create mechanisms for ongoing stakeholder feedback and incorporate this feedback into future decision-making processes.\n", "\n", "### 8. Ethical Reflection and Iteration\n", "\n", "**a. Continuous Ethical Review:** Regularly review the ethical implications of your allocation system. Engage ethicists to consider whether the system is serving its intended goals and to reflect on potential unintended consequences.\n", "\n", "**b. Iterative Improvements:** Be prepared to iterate on the framework based on new findings, societal changes, and emerging needs.\n", "\n", "### Conclusion\n", "\n", "In approaching the design of a resource allocation system, it is essential to prioritize fairness, inclusivity, and responsiveness to the needs of diverse communities. This requires not only a robust analytical framework to guide decision-making but also a commitment to ethical practices and ongoing engagement with affected populations. By doing so, we can work toward solutions that not only address immediate needs but also promote long-term equity and sustainability.\n", "\n", "# Response from competitor 2\n", "\n", "Designing a fair and equitable system for allocating limited resources that considers ethical implications, potential biases, and long-term effects on different communities requires a multi-faceted approach. Here are some steps to approach this complex issue:\n", "\n", "1. Define the resources and needs: Identify the specific resources to be allocated, such as healthcare, education, water, or housing. Determine the competing societal needs that require these resources.\n", "2. Conduct a comprehensive needs assessment: Gather data on the current needs of each community, including demographics, socioeconomic indicators, and existing resource allocation. This will help identify areas of imbalance and potential disparities.\n", "3. Develop a set of evaluation criteria: Establish clear and objective criteria for evaluating the relative importance and urgency of different societal needs. Consider factors such as need level, impact, and fairness.\n", "4. Incorporate diverse stakeholder perspectives: Engage with representatives from various community groups, experts, and stakeholders to ensure that diverse voices are heard and considered. This can include community members, local leaders, healthcare professionals, educators, and policymakers.\n", "5. Implement a transparent and participatory process: Develop a transparent and inclusive decision-making process that allows for public input, feedback, and monitoring. This could include regular updates on resource allocation decisions and adjustments to the criteria.\n", "6. Address potential biases: Implement measures to mitigate biases in the evaluation criteria and decision-making process. Consider using diverse metrics or weights for each criterion to ensure fairness.\n", "7. Ensure long-term sustainability: Factor in the long-term effects of resource distribution across different communities. Consider policies that promote intergenerational equity, adaptability, and resilience.\n", "8. Regularly review and update the system: Continuously evaluate the effectiveness of the allocation system and make adjustments as needed.\n", "\n", "To address ethical considerations:\n", "\n", "1. Define fairness and equity frameworks: Develop a clear understanding of what fairness and equity mean in this context.\n", "2. Use evidence-based approaches: Ground decision-making processes in empirical research, data analysis, and expert opinions.\n", "3. Consider cultural humility: Recognize the diversity of community needs and values.\n", "4. Prioritize human well-being: Ensure resource allocation prioritizes human well-being over economic interests.\n", "\n", "To address potential biases:\n", "\n", "1. Establish diverse evaluators' pools: Include experts with diverse backgrounds, expertise, and experiences in decision-making processes.\n", "2. Monitor power dynamics: Consider the impact of social and political structures on resource distribution and implement mechanisms to mitigate them.\n", "3. Use data analysis tools: Utilize statistical methods and machine learning techniques to minimize subjective bias.\n", "\n", "To address the long-term effects:\n", "\n", "1. Conduct horizon scanning: Regularly monitor changes in societal needs, technological advancements, and environmental shifts.\n", "2. Foster collaborative governance: Encourage intersectoral coordination, participatory processes, and stakeholder engagement to ensure resource distribution aligns with community needs over time.\n", "\n", "By considering these steps and ongoing adjustments, a system for allocating limited resources among competing societal demands can be designed that balances fairness, equity, and long-term sustainability, promoting an equitable society that accounts for diverse needs.\n", "\n", "# Response from competitor 3\n", "\n", "Designing a system for fairly allocating limited resources is an incredibly complex undertaking, fraught with ethical dilemmas and potential for unintended consequences. Here’s a breakdown of how I’d approach it, incorporating ethical considerations, bias mitigation, and long-term impact analysis:\n", "\n", "**1. Defining the Problem & Scope:**\n", "\n", "* **Identify the Resource:** Be incredibly specific. Is it healthcare, funding for education, housing, disaster relief, or something else? The specific resource dictates the allocation mechanisms.\n", "* **Define “Limited”:** Quantify the scarcity. How much of the resource is genuinely limited, and what are the drivers of that limitation (e.g., natural disaster, economic downturn)?\n", "* **Identify Competing Needs:** Thoroughly map out the diverse societal needs vying for the resource. This goes beyond broad categories like \"healthcare\" – it needs to include specific medical needs, preventative care, mental health support, etc.\n", "* **Set Clear Objectives:** What are we trying to achieve with this allocation process? Maximize overall well-being? Minimize harm? Prioritize certain populations? Clear objectives guide decision-making.\n", "\n", "**2. Establishing Ethical Frameworks:**\n", "\n", "* **Utilitarianism:** (Greatest good for the greatest number) - While tempting, simple cost-benefit analysis can be easily manipulated and doesn’t account for individual rights.\n", "* **Deontology (Rights-Based Ethics):** Focuses on inherent rights and duties. Ensures everyone is treated with dignity and respect, regardless of their circumstances. Principles like non-discrimination are central.\n", "* **Virtue Ethics:** Emphasizes character – what kind of society do we want to create? Promotes fairness, compassion, and justice.\n", "* **Procedural Justice:** The *process* of allocation is just as important as the outcome. Transparency, participation, and accountability are key.\n", "\n", "**3. Addressing Bias & Discrimination:**\n", "\n", "* **Data Audit:** Critically examine the data used to understand need. Historical data often reflects existing inequalities – we need to identify and correct for systemic biases.\n", "* **Intersectionality:** Recognize that individuals experience multiple forms of disadvantage (race, gender, socioeconomic status, disability, etc.). A purely numerical approach will fail to capture these complexities.\n", "* **Blind Review Processes:** Where possible, remove identifiable information from the initial screening stages to mitigate unconscious biases.\n", "* **Diverse Audit Teams:** Employ a diverse team of experts (statisticians, ethicists, social workers, community representatives) to conduct regular audits of the system and its outcomes.\n", "* **Regular Bias Monitoring:** Implement systems for monitoring the allocation process for evidence of bias, and establish clear mechanisms for addressing any detected disparities.\n", "\n", "**4. Allocation Mechanisms – Considering Variety:**\n", "\n", "* **Needs-Based Allocation:** Prioritizing based on demonstrable need (e.g., medical need, poverty level). Complex, but can be effective when robust data is available.\n", "* **Random Allocation:** Can be perceived as fair in the absence of explicit criteria, but doesn’t address underlying inequalities. Best used in conjunction with other methods.\n", "* **Lottery Systems:** Fair in the sense of random selection, but doesn’t consider individual circumstances.\n", "* **Targeted Allocation:** Focusing resources on specific communities identified as needing the most support. Requires careful justification and regular review to avoid stigmatization.\n", "* **Hybrid Approaches:** Combining elements of different mechanisms (e.g., needs-based + lottery) can create a more nuanced system.\n", "\n", "**5. Long-Term Impact Analysis & Feedback Loops:**\n", "\n", "* **Impact Assessments:** Conduct thorough assessments of the allocation system's long-term effects on different communities. This includes social, economic, and psychological impacts.\n", "* **Community Engagement:** Establish ongoing consultation with affected communities – not just for initial design, but continuously throughout the system’s operation. Their lived experience is invaluable.\n", "* **Monitoring & Evaluation:** Track key metrics related to equity, access, and outcomes. Use this data to refine the system over time. \n", "* **Adaptive Management:** Recognize that the system will require adjustments as circumstances change. Be willing to experiment, learn, and adapt.\n", "\n", "\n", "**Key Considerations Throughout:**\n", "\n", "* **Transparency:** The entire process – data collection, decision-making, and outcomes – must be transparent to the public.\n", "* **Accountability:** Establish clear lines of accountability for the system's performance.\n", "* **Political Will:** Fair resource allocation often requires challenging the status quo and addressing powerful interests.\n", "\n", "**Disclaimer:** Designing a truly \"fair\" allocation system is arguably impossible. It’s about striving for the *most just* system possible, acknowledging and addressing inherent limitations and biases.\n", "\n", "---\n", "\n", "To help me refine this response further, could you tell me:\n", "\n", "* What specific resource are you interested in allocating? (e.g., vaccines, disaster relief funds, housing vouchers)\n", "* What context are you considering? (e.g., a pandemic, a natural disaster, a long-term societal challenge)\n", "\n", "\n" ] } ], "source": [ "print(together)" ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [], "source": [ "judge = f\"\"\"You are judging a competition between {len(competitors)} competitors.\n", "Each model has been given this question:\n", "\n", "{question}\n", "\n", "Your job is to evaluate each response for clarity and strength of argument, and rank them in order of best to worst.\n", "Respond with JSON, and only JSON, with the following format:\n", "{{\"results\": [\"best competitor number\", \"second best competitor number\", \"third best competitor number\", ...]}}\n", "\n", "Here are the responses from each competitor:\n", "\n", "{together}\n", "\n", "Now respond with the JSON with the ranked order of the competitors, nothing else. Do not include markdown formatting or code blocks.\"\"\"\n" ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "You are judging a competition between 3 competitors.\n", "Each model has been given this question:\n", "\n", "How would you approach designing a system to fairly allocate limited resources among competing societal needs, considering ethical implications, potential biases, and the long-term effects on different communities?\n", "\n", "Your job is to evaluate each response for clarity and strength of argument, and rank them in order of best to worst.\n", "Respond with JSON, and only JSON, with the following format:\n", "{\"results\": [\"best competitor number\", \"second best competitor number\", \"third best competitor number\", ...]}\n", "\n", "Here are the responses from each competitor:\n", "\n", "# Response from competitor 1\n", "\n", "Designing a system for the fair allocation of limited resources among competing societal needs is a complex task that involves multiple ethical, social, and practical considerations. Here’s an approach to structuring such a system:\n", "\n", "### 1. Define Objectives and Principles\n", "\n", "**a. Establish Clear Goals:** Start by defining what the system aims to achieve. Is the priority maximizing overall well-being, ensuring equity, protecting vulnerable populations, or encouraging sustainable practices?\n", "\n", "**b. Ethical Frameworks:** Ground the allocation system in ethical principles, such as:\n", "- **Justice:** Ensure fair treatment and equitable distribution.\n", "- **Utility:** Aim for the greatest good for the greatest number.\n", "- **Need:** Prioritize those with the greatest need.\n", "- **Participation:** Involve stakeholders in decision-making processes.\n", "\n", "### 2. Stakeholder Engagement\n", "\n", "**a. Inclusivity:** Bring together a diverse group of stakeholders, including community representatives, experts, policymakers, and marginalized groups. This diversity will help ensure that different perspectives are addressed.\n", "\n", "**b. Participatory Design:** Develop mechanisms for incorporating stakeholder feedback into the design and governance of the system. This could involve deliberative polls, town hall meetings, or focus groups.\n", "\n", "### 3. Data Collection and Analysis\n", "\n", "**a. Comprehensive Data Gathering:** Use quantitative and qualitative data to understand the needs, challenges, and potential impacts of resource allocation decisions. This could include demographic data, socioeconomic indicators, and community feedback.\n", "\n", "**b. Identify Biases:** Analyze data for biases that might affect resource allocation (e.g., historical inequities, discrimination). Use statistical methods to adjust for these biases.\n", "\n", "### 4. Methodological Framework for Allocation\n", "\n", "**a. Developing Criteria for Allocation:** Create a transparent set of criteria for prioritizing resource distribution. For instance:\n", "- Severity of need\n", "- Potential for impact\n", "- Return on investment (not just financially, but in social terms)\n", "- Long-term sustainability\n", "\n", "**b. Algorithmic Approaches:** If using algorithms for allocation:\n", "- Ensure they are explainable and accountable.\n", "- Continually test for biases and correct them.\n", "- Allow human oversight in critical decisions.\n", "\n", "### 5. Allocation Model Implementation\n", "\n", "**a. Pilot Programs:** Implement pilot programs to test the allocation system in smaller communities before broader application. This will allow for adjustments based on real-world outcomes.\n", "\n", "**b. Adaptive Management:** Build in mechanisms for continual assessment and adjustment of the allocation model based on feedback and changing societal conditions.\n", "\n", "### 6. Transparency and Accountability\n", "\n", "**a. Open Communication:** Provide clear, accessible information about how decisions are made, the criteria used, and the outcomes of resource allocations.\n", "\n", "**b. Oversight Mechanisms:** Establish independent review boards or stakeholder oversight committees to monitor the allocation process and address any grievances.\n", "\n", "### 7. Monitor and Evaluate Long-Term Effects\n", "\n", "**a. Longitudinal Studies:** Conduct studies to assess the long-term effects of resource allocation on different communities. Evaluations should consider social, economic, health, and environmental impacts.\n", "\n", "**b. Feedback Loops:** Create mechanisms for ongoing stakeholder feedback and incorporate this feedback into future decision-making processes.\n", "\n", "### 8. Ethical Reflection and Iteration\n", "\n", "**a. Continuous Ethical Review:** Regularly review the ethical implications of your allocation system. Engage ethicists to consider whether the system is serving its intended goals and to reflect on potential unintended consequences.\n", "\n", "**b. Iterative Improvements:** Be prepared to iterate on the framework based on new findings, societal changes, and emerging needs.\n", "\n", "### Conclusion\n", "\n", "In approaching the design of a resource allocation system, it is essential to prioritize fairness, inclusivity, and responsiveness to the needs of diverse communities. This requires not only a robust analytical framework to guide decision-making but also a commitment to ethical practices and ongoing engagement with affected populations. By doing so, we can work toward solutions that not only address immediate needs but also promote long-term equity and sustainability.\n", "\n", "# Response from competitor 2\n", "\n", "Designing a fair and equitable system for allocating limited resources that considers ethical implications, potential biases, and long-term effects on different communities requires a multi-faceted approach. Here are some steps to approach this complex issue:\n", "\n", "1. Define the resources and needs: Identify the specific resources to be allocated, such as healthcare, education, water, or housing. Determine the competing societal needs that require these resources.\n", "2. Conduct a comprehensive needs assessment: Gather data on the current needs of each community, including demographics, socioeconomic indicators, and existing resource allocation. This will help identify areas of imbalance and potential disparities.\n", "3. Develop a set of evaluation criteria: Establish clear and objective criteria for evaluating the relative importance and urgency of different societal needs. Consider factors such as need level, impact, and fairness.\n", "4. Incorporate diverse stakeholder perspectives: Engage with representatives from various community groups, experts, and stakeholders to ensure that diverse voices are heard and considered. This can include community members, local leaders, healthcare professionals, educators, and policymakers.\n", "5. Implement a transparent and participatory process: Develop a transparent and inclusive decision-making process that allows for public input, feedback, and monitoring. This could include regular updates on resource allocation decisions and adjustments to the criteria.\n", "6. Address potential biases: Implement measures to mitigate biases in the evaluation criteria and decision-making process. Consider using diverse metrics or weights for each criterion to ensure fairness.\n", "7. Ensure long-term sustainability: Factor in the long-term effects of resource distribution across different communities. Consider policies that promote intergenerational equity, adaptability, and resilience.\n", "8. Regularly review and update the system: Continuously evaluate the effectiveness of the allocation system and make adjustments as needed.\n", "\n", "To address ethical considerations:\n", "\n", "1. Define fairness and equity frameworks: Develop a clear understanding of what fairness and equity mean in this context.\n", "2. Use evidence-based approaches: Ground decision-making processes in empirical research, data analysis, and expert opinions.\n", "3. Consider cultural humility: Recognize the diversity of community needs and values.\n", "4. Prioritize human well-being: Ensure resource allocation prioritizes human well-being over economic interests.\n", "\n", "To address potential biases:\n", "\n", "1. Establish diverse evaluators' pools: Include experts with diverse backgrounds, expertise, and experiences in decision-making processes.\n", "2. Monitor power dynamics: Consider the impact of social and political structures on resource distribution and implement mechanisms to mitigate them.\n", "3. Use data analysis tools: Utilize statistical methods and machine learning techniques to minimize subjective bias.\n", "\n", "To address the long-term effects:\n", "\n", "1. Conduct horizon scanning: Regularly monitor changes in societal needs, technological advancements, and environmental shifts.\n", "2. Foster collaborative governance: Encourage intersectoral coordination, participatory processes, and stakeholder engagement to ensure resource distribution aligns with community needs over time.\n", "\n", "By considering these steps and ongoing adjustments, a system for allocating limited resources among competing societal demands can be designed that balances fairness, equity, and long-term sustainability, promoting an equitable society that accounts for diverse needs.\n", "\n", "# Response from competitor 3\n", "\n", "Designing a system for fairly allocating limited resources is an incredibly complex undertaking, fraught with ethical dilemmas and potential for unintended consequences. Here’s a breakdown of how I’d approach it, incorporating ethical considerations, bias mitigation, and long-term impact analysis:\n", "\n", "**1. Defining the Problem & Scope:**\n", "\n", "* **Identify the Resource:** Be incredibly specific. Is it healthcare, funding for education, housing, disaster relief, or something else? The specific resource dictates the allocation mechanisms.\n", "* **Define “Limited”:** Quantify the scarcity. How much of the resource is genuinely limited, and what are the drivers of that limitation (e.g., natural disaster, economic downturn)?\n", "* **Identify Competing Needs:** Thoroughly map out the diverse societal needs vying for the resource. This goes beyond broad categories like \"healthcare\" – it needs to include specific medical needs, preventative care, mental health support, etc.\n", "* **Set Clear Objectives:** What are we trying to achieve with this allocation process? Maximize overall well-being? Minimize harm? Prioritize certain populations? Clear objectives guide decision-making.\n", "\n", "**2. Establishing Ethical Frameworks:**\n", "\n", "* **Utilitarianism:** (Greatest good for the greatest number) - While tempting, simple cost-benefit analysis can be easily manipulated and doesn’t account for individual rights.\n", "* **Deontology (Rights-Based Ethics):** Focuses on inherent rights and duties. Ensures everyone is treated with dignity and respect, regardless of their circumstances. Principles like non-discrimination are central.\n", "* **Virtue Ethics:** Emphasizes character – what kind of society do we want to create? Promotes fairness, compassion, and justice.\n", "* **Procedural Justice:** The *process* of allocation is just as important as the outcome. Transparency, participation, and accountability are key.\n", "\n", "**3. Addressing Bias & Discrimination:**\n", "\n", "* **Data Audit:** Critically examine the data used to understand need. Historical data often reflects existing inequalities – we need to identify and correct for systemic biases.\n", "* **Intersectionality:** Recognize that individuals experience multiple forms of disadvantage (race, gender, socioeconomic status, disability, etc.). A purely numerical approach will fail to capture these complexities.\n", "* **Blind Review Processes:** Where possible, remove identifiable information from the initial screening stages to mitigate unconscious biases.\n", "* **Diverse Audit Teams:** Employ a diverse team of experts (statisticians, ethicists, social workers, community representatives) to conduct regular audits of the system and its outcomes.\n", "* **Regular Bias Monitoring:** Implement systems for monitoring the allocation process for evidence of bias, and establish clear mechanisms for addressing any detected disparities.\n", "\n", "**4. Allocation Mechanisms – Considering Variety:**\n", "\n", "* **Needs-Based Allocation:** Prioritizing based on demonstrable need (e.g., medical need, poverty level). Complex, but can be effective when robust data is available.\n", "* **Random Allocation:** Can be perceived as fair in the absence of explicit criteria, but doesn’t address underlying inequalities. Best used in conjunction with other methods.\n", "* **Lottery Systems:** Fair in the sense of random selection, but doesn’t consider individual circumstances.\n", "* **Targeted Allocation:** Focusing resources on specific communities identified as needing the most support. Requires careful justification and regular review to avoid stigmatization.\n", "* **Hybrid Approaches:** Combining elements of different mechanisms (e.g., needs-based + lottery) can create a more nuanced system.\n", "\n", "**5. Long-Term Impact Analysis & Feedback Loops:**\n", "\n", "* **Impact Assessments:** Conduct thorough assessments of the allocation system's long-term effects on different communities. This includes social, economic, and psychological impacts.\n", "* **Community Engagement:** Establish ongoing consultation with affected communities – not just for initial design, but continuously throughout the system’s operation. Their lived experience is invaluable.\n", "* **Monitoring & Evaluation:** Track key metrics related to equity, access, and outcomes. Use this data to refine the system over time. \n", "* **Adaptive Management:** Recognize that the system will require adjustments as circumstances change. Be willing to experiment, learn, and adapt.\n", "\n", "\n", "**Key Considerations Throughout:**\n", "\n", "* **Transparency:** The entire process – data collection, decision-making, and outcomes – must be transparent to the public.\n", "* **Accountability:** Establish clear lines of accountability for the system's performance.\n", "* **Political Will:** Fair resource allocation often requires challenging the status quo and addressing powerful interests.\n", "\n", "**Disclaimer:** Designing a truly \"fair\" allocation system is arguably impossible. It’s about striving for the *most just* system possible, acknowledging and addressing inherent limitations and biases.\n", "\n", "---\n", "\n", "To help me refine this response further, could you tell me:\n", "\n", "* What specific resource are you interested in allocating? (e.g., vaccines, disaster relief funds, housing vouchers)\n", "* What context are you considering? (e.g., a pandemic, a natural disaster, a long-term societal challenge)\n", "\n", "\n", "\n", "Now respond with the JSON with the ranked order of the competitors, nothing else. Do not include markdown formatting or code blocks.\n" ] } ], "source": [ "print(judge)" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [], "source": [ "judge_messages = [{\"role\": \"user\", \"content\": judge}]" ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "{\"results\": [\"1\", \"3\", \"2\"]}\n" ] } ], "source": [ "# Judgement time!\n", "\n", "openai = OpenAI()\n", "response = openai.chat.completions.create(\n", " model=\"o3-mini\",\n", " messages=judge_messages,\n", ")\n", "results = response.choices[0].message.content\n", "print(results)\n" ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Rank 1: gpt-4o-mini\n", "Rank 2: gemma3\n", "Rank 3: llama3.2\n" ] } ], "source": [ "# OK let's turn this into results!\n", "\n", "results_dict = json.loads(results)\n", "ranks = results_dict[\"results\"]\n", "for index, result in enumerate(ranks):\n", " competitor = competitors[int(result)-1]\n", " print(f\"Rank {index+1}: {competitor}\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", " \n", " \n", " \n", " \n", "
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Exercise

\n", " Which pattern(s) did this use? Try updating this to add another Agentic design pattern.\n", " \n", "
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Commercial implications

\n", " These kinds of patterns - to send a task to multiple models, and evaluate results,\n", " are common where you need to improve the quality of your LLM response. This approach can be universally applied\n", " to business projects where accuracy is critical.\n", " \n", "
" ] } ], "metadata": { "kernelspec": { "display_name": ".venv", "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": "3.12.9" } }, "nbformat": 4, "nbformat_minor": 2 }