archived/sagemaker-lineage-multihop-queries

{ "cells": [ { "cell_type": "markdown", "id": "cb187715", "metadata": { "papermill": { "duration": 0.024868, "end_time": "2022-04-18T00:20:52.987178", "exception": false, "start_time": "2022-04-18T00:20:52.962310", "status": "completed" }, "tags": [] }, "source": [ "# Amazon SageMaker Multi-hop Lineage Queries\n" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "---\n", "\n", "This notebook's CI test result for us-west-2 is as follows. CI test results in other regions can be found at the end of the notebook. \n", "\n", "![This us-west-2 badge failed to load. Check your device's internet connectivity, otherwise the service is currently unavailable](https://prod.us-west-2.tcx-beacon.docs.aws.dev/sagemaker-nb/us-west-2/sagemaker-lineage|sagemaker-lineage-multihop-queries_outputs.ipynb)\n", "\n", "---" ] }, { "cell_type": "markdown", "id": "cb187715", "metadata": { "papermill": { "duration": 0.024868, "end_time": "2022-04-18T00:20:52.987178", "exception": false, "start_time": "2022-04-18T00:20:52.962310", "status": "completed" }, "tags": [] }, "source": [ "\n", "Amazon SageMaker Lineage tracks events that happen within SageMaker allowing the relationships between them to be traced via a graph structure. SageMaker Lineage introduces a new API called `LineageQuery` that allows customers to query the lineage graph structure to discover relationship across their Machine Learning entities. \n", "\n", "Your machine learning workflows can generate deeply nested relationships, the lineage APIs allow you to answer questions about these relationships. For example find all Data Sets that trained the model deployed to a given Endpoint or find all Models trained by a Data Set.\n", "\n", "The lineage graph is created automatically by SageMaker and you can directly create or modify your own lineage.\n", "\n", "In addition to the `LineageQuery` API, the SageMaker SDK provides wrapper functions that make it easy to run queries that span across multiple hops of the entity relationship graph. These APIs and helper functions are described in this notebook.\n", "\n", "## Runtime\n", "\n", "This notebook takes approximately 15 minutes to run.\n", "\n", "## Contents\n", "\n", "1. [Key Concepts](#Key-Concepts)\n", "1. [Prerequisites](#Prerequisites)\n", "1. [Notebook Overview](#Notebook-Overview)\n", "1. [Create an Experiment and Trial for a training job](#Create-an-Experiment-and-Trial-for-a-training-job)\n", "1. [Training Data](#Training-Data)\n", "1. [Create a training job](#Create-a-training-job)\n", "1. [Create a Model Package Group for the trained model to be registered](#Create-a-Model-Package-Group-for-the-trained-model-to-be-registered)\n", "1. [Register the model in the Model Registry](#Register-the-model-in-the-Model-Registry)\n", "1. [Deploy the model to a SageMaker Endpoint](#Deploy-the-model-to-a-SageMaker-Endpoint)\n", "1. [SageMaker Lineage Queries](#SageMaker-Lineage-Queries)\n", " 1. [Using the LineageQuery API to find entity associations](#Using-the-LineageQuery-API-to-find-entity-associations)\n", " 1. [Find all datasets associated with an Endpoint](#Find-all-datasets-associated-with-an-Endpoint)\n", " 1. [Find the models associated with an Endpoint](#Find-the-models-associated-with-an-Endpoint)\n", " 1. [Find the trial components associated with an Endpoint](#Find-the-trial-components-associated-with-an-Endpoint)\n", " 1. [Change the focal point of lineage](#Change-the-focal-point-of-lineage)\n", " 1. [Use LineageQueryDirectionEnum.BOTH](#Use-LineageQueryDirectionEnum.BOTH)\n", " 1. [Directions in LineageQuery: Ascendants vs. Descendants](#Directions-in-LineageQuery:-Ascendants-vs.-Descendants)\n", " 1. [SDK helper functions](#SDK-helper-functions)\n", " 1. [Lineage Graph Visualization](#Lineage-Graph-Visualization)\n", "1. [Conclusion](#Conclusion)\n", "1. [Cleanup](#Cleanup)\n", "\n", "\n", "## Key Concepts\n", "\n", "* **Lineage Graph** - A connected graph tracing your machine learning workflow end to end. \n", "* **Artifacts** - Represents a URI addressable object or data. Artifacts are typically inputs or outputs to Actions. \n", "* **Actions** - Represents an action taken such as a computation, transformation, or job. \n", "* **Contexts** - Provides a method to logically group other entities.\n", "* **Associations** - A directed edge in the lineage graph that links two entities.\n", "* **Lineage Traversal** - Starting from an arbitrary point trace the lineage graph to discover and analyze relationships between steps in your workflow.\n", "* **Experiments** - Experiment entites (Experiments, Trials, and Trial Components) are also part of the lineage graph and can be associated wtih Artifacts, Actions, or Contexts." ] }, { "cell_type": "markdown", "id": "25d4a00f", "metadata": { "papermill": { "duration": 0.024683, "end_time": "2022-04-18T00:20:53.036514", "exception": false, "start_time": "2022-04-18T00:20:53.011831", "status": "completed" }, "tags": [] }, "source": [ "## Prerequisites\n", "\n", "[`sagemaker-experiments`](https://github.com/aws/sagemaker-experiments) and [`pyvis`]((https://pyvis.readthedocs.io/en/latest/)) are two Python libraries that need to be installed as part of this notebook execution. `pyvis` is a library designed for interactive network visualization and `sagemaker-experiments` gives users the ability to use SageMaker's Experiment Tracking capabilities. \n", "\n", "This notebook should be run with `Python 3.9` using the SageMaker Studio `Python3 (Data Science)` kernel. The `sagemaker` sdk version required for this notebook is `>2.70.0`.\n", "\n", "If running in SageMaker Classic Notebooks, use the `conda_python3` kernel. \n", "\n", "The AWS account running this notebook should have access to provision two instances of type `ml.m5.xlarge`. These instances are used for training and deploying a model." ] }, { "cell_type": "markdown", "id": "0fee7359", "metadata": { "papermill": { "duration": 0.0244, "end_time": "2022-04-18T00:20:53.085482", "exception": false, "start_time": "2022-04-18T00:20:53.061082", "status": "completed" }, "tags": [] }, "source": [ "Let's start by installing the Python SDK, boto and AWS CLI." ] }, { "cell_type": "code", "execution_count": 2, "id": "93adbfe7", "metadata": { "execution": { "iopub.execute_input": "2022-04-18T00:20:53.142364Z", "iopub.status.busy": "2022-04-18T00:20:53.141366Z", "iopub.status.idle": "2022-04-18T00:21:35.518839Z", "shell.execute_reply": "2022-04-18T00:21:35.519317Z" }, "papermill": { "duration": 42.409595, "end_time": "2022-04-18T00:21:35.519466", "exception": false, "start_time": "2022-04-18T00:20:53.109871", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Requirement already satisfied: sagemaker in 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"\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 2.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 2.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 2.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 2.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 2.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 2.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 2.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 2.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 2.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 2.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 2.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 2.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 2.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 2.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 2.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 2.3 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 2.3 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 2.3 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 2.3 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 2.3 MB 28.0 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eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 2.6 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 2.6 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 2.6 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 2.6 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 2.6 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 2.6 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 2.7 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 2.7 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 2.7 MB 28.0 MB/s eta 0:00:01\r\n", 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2.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 2.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 2.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 2.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 2.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 2.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 2.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 2.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 2.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K 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|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 3.6 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 3.6 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 3.6 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 3.6 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 3.6 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 3.6 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 3.6 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 3.7 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 3.7 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 3.7 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 3.7 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 3.7 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 3.7 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 3.7 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 3.7 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 3.7 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 3.7 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 3.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 3.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 3.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 3.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 3.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 3.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 3.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 3.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 3.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 3.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 3.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 3.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 3.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 3.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 3.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 3.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 3.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 3.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 3.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 4.0 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 4.0 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 4.0 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 4.0 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 4.0 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 4.0 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 4.0 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 4.0 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 4.0 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 4.0 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 4.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 4.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 4.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 4.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 4.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 4.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 4.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 4.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 4.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 4.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 4.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 4.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 4.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 4.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 4.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 4.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 4.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 4.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 4.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 4.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 4.3 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 4.3 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 4.3 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 4.3 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 4.3 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 4.3 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 4.3 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 4.3 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 4.3 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 4.4 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 4.4 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 4.4 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 4.4 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 4.4 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 4.4 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 4.4 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 4.4 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 4.4 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 4.4 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 4.5 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 4.5 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 4.5 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K 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|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 4.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 4.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 4.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 4.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 4.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 4.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K 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|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 5.7 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 5.7 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 5.7 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 5.7 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 5.7 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K 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|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 5.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 5.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 5.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 5.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 5.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 5.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 5.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 5.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 5.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 5.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 5.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 5.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 5.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 5.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 5.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 5.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 5.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 5.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 5.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 5.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 6.0 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 6.0 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 6.0 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 6.0 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 6.0 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 6.0 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 6.0 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 6.0 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 6.0 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 6.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 6.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 6.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 6.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 6.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 6.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 6.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 6.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 6.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 6.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 6.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 6.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 6.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 6.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 6.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 6.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 6.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 6.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 6.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 6.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 6.3 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 6.3 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 6.3 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 6.3 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 6.3 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 6.3 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 6.3 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 6.3 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 6.3 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 6.3 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 6.4 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 6.4 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 6.4 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 6.4 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 6.4 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 6.4 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 6.4 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 6.4 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 6.4 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 6.5 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 6.5 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 6.5 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 6.5 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 6.5 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 6.5 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 6.5 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 6.5 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 6.5 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 6.5 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 6.6 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 6.6 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 6.6 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 6.6 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 6.6 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 6.6 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 6.6 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 6.6 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 6.6 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 6.6 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 6.7 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 6.7 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 6.7 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 6.7 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 6.7 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 6.7 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 6.7 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 6.7 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 6.7 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 6.7 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 6.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 6.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 6.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 6.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 6.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 6.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 6.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 6.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 6.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 6.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 6.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 6.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 6.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 6.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 6.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 6.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 6.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 6.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 6.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 7.0 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 7.0 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 7.0 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 7.0 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 7.0 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 7.0 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 7.0 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 7.0 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 7.0 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 7.0 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 7.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 7.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 7.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 7.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 7.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 7.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 7.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 7.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 7.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 7.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 7.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 7.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 7.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 7.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 7.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 7.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 7.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 7.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 7.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 7.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 7.3 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 7.3 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 7.3 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 7.3 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 7.3 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K 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|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 7.4 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 7.4 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 7.4 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 7.4 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K 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|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 7.4 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 7.4 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 7.5 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 7.5 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 7.5 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 7.5 MB 28.0 MB/s eta 0:00:01" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 7.5 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 7.5 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K 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|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 7.7 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 7.7 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 7.7 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 7.7 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 7.7 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 7.7 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 7.7 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 7.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 7.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 7.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 7.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 7.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 7.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 7.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 7.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 7.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 7.8 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 7.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 7.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 7.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 7.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 7.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 7.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 7.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 7.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 7.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 7.9 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 8.0 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 8.0 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 8.0 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 8.0 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 8.0 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 8.0 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 8.0 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 8.0 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 8.0 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 8.0 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 8.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 8.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 8.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 8.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 8.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 8.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 8.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 8.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 8.1 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 8.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 8.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 8.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 8.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 8.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 8.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 8.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 8.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 8.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 8.2 MB 28.0 MB/s eta 0:00:01\r\n", "\u001b[K 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|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 1.1 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 1.1 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 1.1 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 1.2 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 1.2 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 1.2 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 1.2 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 1.2 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 1.2 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 1.2 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 1.2 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 1.2 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 1.2 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 1.3 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 1.3 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 1.3 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 1.3 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 1.3 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 1.3 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 1.3 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 1.3 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 1.3 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 1.4 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 1.4 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 1.4 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 1.4 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 1.4 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 1.4 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 1.4 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 1.4 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 1.4 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 1.4 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 1.5 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 1.5 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 1.5 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 1.5 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 1.5 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 1.5 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 1.5 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 1.5 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 1.5 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 1.5 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 1.6 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 1.6 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 1.6 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 1.6 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 1.6 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 1.6 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 1.6 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 1.6 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 1.6 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 1.6 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 1.7 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 1.7 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 1.7 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 1.7 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 1.7 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 1.7 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 1.7 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 1.7 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 1.7 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 1.8 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 1.8 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 1.8 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 1.8 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 1.8 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 1.8 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 1.8 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 1.8 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 1.8 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 1.8 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 1.9 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 1.9 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 1.9 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 1.9 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 1.9 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 1.9 MB 48.1 MB/s eta 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|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 2.1 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 2.1 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 2.1 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 2.1 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 2.1 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 2.2 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 2.2 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 2.2 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 2.2 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 2.2 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 2.2 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 2.2 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 2.2 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 2.2 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 2.2 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 2.3 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 2.3 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 2.3 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 2.3 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 2.3 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 2.3 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 2.3 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 2.3 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 2.3 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 2.3 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 2.4 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 2.4 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 2.4 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 2.4 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 2.4 MB 48.1 MB/s eta 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|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 2.5 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 2.5 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 2.5 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 2.5 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 2.5 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K 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0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 3.1 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 3.1 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 3.1 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 3.1 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 3.1 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 3.1 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 3.1 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 3.1 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 3.2 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 3.2 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 3.2 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 3.2 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 3.2 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 3.2 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 3.2 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 3.2 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 3.2 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 3.2 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 3.3 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 3.3 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 3.3 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 3.3 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 3.3 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 3.3 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 3.3 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 3.3 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 3.3 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 3.3 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 3.4 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 3.4 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 3.4 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 3.4 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 3.4 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 3.4 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 3.4 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 3.4 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 3.4 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 3.5 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 3.5 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 3.5 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 3.5 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 3.5 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 3.5 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 3.5 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 3.5 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 3.5 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 3.5 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 3.6 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 3.6 MB 48.1 MB/s eta 0:00:01\r\n", "\u001b[K 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packages: sagemaker\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Building wheel for sagemaker (setup.py) ... \u001b[?25l-" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b \b\\" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b \b|" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b \b/" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b \b-" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b \b\\" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b \b|" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b \b/" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b \bdone\r\n", "\u001b[?25h Created wheel for sagemaker: filename=sagemaker-2.86.2-py2.py3-none-any.whl size=720848 sha256=1da97f32bd534164c5bd8d162be8084b3a9d165d9aa1ff7fab6fbef1dd88ec7c\r\n", " Stored in directory: /root/.cache/pip/wheels/59/43/38/ebab0cc66165586b93249bb62b88af317edd25ecd7885b496b\r\n", "Successfully built sagemaker\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Installing collected packages: botocore, boto3, sagemaker, awscli\r\n", " Attempting uninstall: botocore\r\n", " Found existing installation: botocore 1.23.7\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Uninstalling botocore-1.23.7:\r\n", " Successfully uninstalled botocore-1.23.7\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Attempting uninstall: boto3\r\n", " Found existing installation: boto3 1.20.7\r\n", " Uninstalling boto3-1.20.7:\r\n", " Successfully uninstalled boto3-1.20.7\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Attempting uninstall: sagemaker\r\n", " Found existing installation: sagemaker 2.69.1.dev0\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Uninstalling sagemaker-2.69.1.dev0:\r\n", " Successfully uninstalled sagemaker-2.69.1.dev0\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Attempting uninstall: awscli\r\n", " Found existing installation: awscli 1.22.7\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Uninstalling awscli-1.22.7:\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Successfully uninstalled awscli-1.22.7\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Successfully installed awscli-1.22.97 boto3-1.21.42 botocore-1.24.42 sagemaker-2.86.2\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\u001b[33mWARNING: You are using pip version 21.0.1; however, version 21.3.1 is available.\r\n", "You should consider upgrading via the '/usr/local/bin/python3.6 -m pip install --upgrade pip' command.\u001b[0m\r\n" ] } ], "source": [ "!pip install sagemaker botocore boto3 awscli --upgrade" ] }, { "cell_type": "code", "execution_count": 3, "id": "69886125", "metadata": { "execution": { "iopub.execute_input": "2022-04-18T00:21:35.641552Z", "iopub.status.busy": "2022-04-18T00:21:35.638662Z", "iopub.status.idle": "2022-04-18T00:21:48.123259Z", "shell.execute_reply": "2022-04-18T00:21:48.122746Z" }, "papermill": { "duration": 12.563328, "end_time": "2022-04-18T00:21:48.123383", "exception": false, "start_time": "2022-04-18T00:21:35.560055", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Requirement already satisfied: sagemaker-experiments in /usr/local/lib/python3.6/site-packages (0.1.28)\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Collecting pyvis\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Downloading pyvis-0.2.0.tar.gz (21 kB)\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Requirement already satisfied: jinja2>=2.9.6 in /usr/local/lib/python3.6/site-packages (from pyvis) (3.0.3)\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Collecting networkx>=1.11\r\n", " Downloading 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eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 1.1 MB 8.2 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 1.1 MB 8.2 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 1.1 MB 8.2 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 1.1 MB 8.2 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 1.1 MB 8.2 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 1.1 MB 8.2 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 1.1 MB 8.2 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 1.1 MB 8.2 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 1.1 MB 8.2 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 1.1 MB 8.2 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 1.2 MB 8.2 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 1.2 MB 8.2 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 1.2 MB 8.2 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 1.2 MB 8.2 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 1.2 MB 8.2 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 1.2 MB 8.2 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 1.2 MB 8.2 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 1.2 MB 8.2 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 1.2 MB 8.2 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 1.2 MB 8.2 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 1.3 MB 8.2 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 1.3 MB 8.2 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 1.3 MB 8.2 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 1.3 MB 8.2 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 1.3 MB 8.2 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 1.3 MB 8.2 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 1.3 MB 8.2 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 1.3 MB 8.2 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 1.3 MB 8.2 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 1.4 MB 8.2 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 1.4 MB 8.2 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 1.4 MB 8.2 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 1.4 MB 8.2 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 1.4 MB 8.2 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 1.4 MB 8.2 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 1.4 MB 8.2 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 1.4 MB 8.2 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 1.4 MB 8.2 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 1.4 MB 8.2 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 1.5 MB 8.2 MB/s eta 0:00:01\r\n", "\u001b[K |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 1.5 MB 8.2 MB/s eta 0:00:01\r\n", "\u001b[K 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"source": [ "## Notebook Overview\n", "\n", "This notebook demonstrates how to use SageMaker Lineage APIs to query multi-hop relationships across the lineage graph. Multi-hop relationships are those that span beyond single entity relationships, e.g. Model -> Endpoint, Training Job -> Model. Multi-hop queries allow users to search for distant relationships across the Lineage Graph such as Endpoint -> Data Set.\n", "\n", "To demonstrate these capabilities, in this notebook we create a training job, register a model to the Model Registry, and deploy the model to an Endpoint. " ] }, { "cell_type": "code", "execution_count": 4, "id": "26efdda2", "metadata": { "execution": { "iopub.execute_input": "2022-04-18T00:21:48.532654Z", "iopub.status.busy": "2022-04-18T00:21:48.531445Z", "iopub.status.idle": "2022-04-18T00:21:51.762692Z", "shell.execute_reply": "2022-04-18T00:21:51.763131Z" }, "papermill": { "duration": 3.348491, "end_time": "2022-04-18T00:21:51.763284", "exception": false, "start_time": "2022-04-18T00:21:48.414793", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "import os\n", "import boto3\n", "import sagemaker\n", "import pprint\n", "from botocore.config import Config\n", "\n", "config = Config(retries={\"max_attempts\": 50, \"mode\": \"adaptive\"})\n", "\n", "sagemaker_session = sagemaker.Session()\n", "sm_client = sagemaker_session.sagemaker_client\n", "\n", "region = sagemaker_session.boto_region_name\n", "\n", "default_bucket = sagemaker_session.default_bucket()\n", "role = sagemaker.get_execution_role()\n", "\n", "# Helper function to print query outputs\n", "pp = pprint.PrettyPrinter()" ] }, { "cell_type": "code", "execution_count": 5, "id": "9c40701a", "metadata": { "execution": { "iopub.execute_input": "2022-04-18T00:21:51.918953Z", "iopub.status.busy": "2022-04-18T00:21:51.917704Z", "iopub.status.idle": "2022-04-18T00:21:51.919884Z", "shell.execute_reply": "2022-04-18T00:21:51.920432Z" }, "papermill": { "duration": 0.111052, "end_time": "2022-04-18T00:21:51.920587", "exception": false, "start_time": "2022-04-18T00:21:51.809535", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "from datetime import datetime\n", "\n", "training_instance_type = \"ml.m5.xlarge\"\n", "inference_instance_type = \"ml.m5.xlarge\"\n", "s3_prefix = \"multihop-example\"\n", "\n", "unique_id = str(datetime.now().timestamp()).split(\".\")[0]" ] }, { "cell_type": "markdown", "id": "6c51f513", "metadata": { "papermill": { "duration": 0.177412, "end_time": "2022-04-18T00:21:52.207604", "exception": false, "start_time": "2022-04-18T00:21:52.030192", "status": "completed" }, "tags": [] }, "source": [ "## Create an Experiment and Trial for a training job" ] }, { "cell_type": "code", "execution_count": 6, "id": "8718c000", "metadata": { "execution": { "iopub.execute_input": "2022-04-18T00:21:52.513234Z", "iopub.status.busy": "2022-04-18T00:21:52.511849Z", "iopub.status.idle": "2022-04-18T00:21:53.030768Z", "shell.execute_reply": "2022-04-18T00:21:53.030273Z" }, "papermill": { "duration": 0.712365, "end_time": "2022-04-18T00:21:53.030940", "exception": false, "start_time": "2022-04-18T00:21:52.318575", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "MultihopQueryExperiment-1650241311\n", "MultihopQueryTrial-1650241311\n" ] } ], "source": [ "from smexperiments.experiment import Experiment\n", "from smexperiments.trial import Trial\n", "from smexperiments.trial_component import TrialComponent\n", "\n", "experiment_name = f\"MultihopQueryExperiment-{unique_id}\"\n", "exp = Experiment.create(experiment_name=experiment_name, sagemaker_boto_client=sm_client)\n", "\n", "trial = Trial.create(\n", " experiment_name=exp.experiment_name,\n", " trial_name=f\"MultihopQueryTrial-{unique_id}\",\n", " sagemaker_boto_client=sm_client,\n", ")\n", "\n", "print(exp.experiment_name)\n", "print(trial.trial_name)" ] }, { "cell_type": "markdown", "id": "f63f088c", "metadata": { "papermill": { "duration": 0.108382, "end_time": "2022-04-18T00:21:53.219040", "exception": false, "start_time": "2022-04-18T00:21:53.110658", "status": "completed" }, "tags": [] }, "source": [ "## Training Data\n", "\n", "Creating a `data/` directory to store the preprocessed [UCI Abalone](https://archive.ics.uci.edu/ml/datasets/abalone) dataset. The preprocessing is done using the preprocessing script defined in the notebook [Orchestrating Jobs with Amazon SageMaker Model Building Pipelines](https://github.com/aws/amazon-sagemaker-examples/blob/master/sagemaker-pipelines/tabular/abalone_build_train_deploy/sagemaker-pipelines-preprocess-train-evaluate-batch-transform.ipynb) notebook. Then training and validation data is uploaded to S3 so that it can be used in the training and inference job." ] }, { "cell_type": "code", "execution_count": 7, "id": "4d020ac3", "metadata": { "execution": { "iopub.execute_input": "2022-04-18T00:21:53.515419Z", "iopub.status.busy": "2022-04-18T00:21:53.514379Z", "iopub.status.idle": "2022-04-18T00:21:53.520352Z", "shell.execute_reply": "2022-04-18T00:21:53.520790Z" }, "papermill": { "duration": 0.188205, "end_time": "2022-04-18T00:21:53.520927", "exception": false, "start_time": "2022-04-18T00:21:53.332722", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "'sagemaker-us-west-2-521695447989'" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "default_bucket" ] }, { "cell_type": "code", "execution_count": 8, "id": "c54bdc99", "metadata": { "execution": { "iopub.execute_input": "2022-04-18T00:21:53.813706Z", "iopub.status.busy": "2022-04-18T00:21:53.812966Z", "iopub.status.idle": "2022-04-18T00:21:55.959336Z", "shell.execute_reply": "2022-04-18T00:21:55.958845Z" }, "papermill": { "duration": 2.327265, "end_time": "2022-04-18T00:21:55.959586", "exception": false, "start_time": "2022-04-18T00:21:53.632321", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Directory Created \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/usr/local/lib/python3.6/site-packages/boto3/compat.py:88: PythonDeprecationWarning: Boto3 will no longer support Python 3.6 starting May 30, 2022. To continue receiving service updates, bug fixes, and security updates please upgrade to Python 3.7 or later. More information can be found here: https://aws.amazon.com/blogs/developer/python-support-policy-updates-for-aws-sdks-and-tools/\n", " warnings.warn(warning, PythonDeprecationWarning)\n" ] } ], "source": [ "if not os.path.exists(\"./data/\"):\n", " os.makedirs(\"./data/\")\n", " print(\"Directory Created \")\n", "else:\n", " print(\"Directory already exists\")\n", "\n", "# Download the processed abalone dataset files\n", "s3 = boto3.client(\"s3\")\n", "s3.download_file(\n", " f\"sagemaker-sample-files\",\n", " \"datasets/tabular/uci_abalone/preprocessed/test.csv\",\n", " \"./data/test.csv\",\n", ")\n", "s3.download_file(\n", " f\"sagemaker-sample-files\",\n", " \"datasets/tabular/uci_abalone/preprocessed/train.csv\",\n", " \"./data/train.csv\",\n", ")\n", "s3.download_file(\n", " f\"sagemaker-sample-files\",\n", " \"datasets/tabular/uci_abalone/preprocessed/validation.csv\",\n", " \"./data/validation.csv\",\n", ")\n", "\n", "# Upload the datasets to the SageMaker session default bucket\n", "boto3.Session().resource(\"s3\").Bucket(default_bucket).Object(\n", " \"experiments-demo/train.csv\"\n", ").upload_file(\"data/train.csv\")\n", "boto3.Session().resource(\"s3\").Bucket(default_bucket).Object(\n", " \"experiments-demo/validation.csv\"\n", ").upload_file(\"data/validation.csv\")\n", "\n", "training_data = f\"s3://{default_bucket}/experiments-demo/train.csv\"\n", "validation_data = f\"s3://{default_bucket}/experiments-demo/validation.csv\"" ] }, { "cell_type": "markdown", "id": "660c9e25", "metadata": { "papermill": { "duration": 0.072894, "end_time": "2022-04-18T00:21:56.128168", "exception": false, "start_time": "2022-04-18T00:21:56.055274", "status": "completed" }, "tags": [] }, "source": [ "## Create a training job\n", "\n", "We train a simple XGBoost model on the Abalone dataset. \n", "`sagemaker.image_uris.retrieve()` is used to get the sagemaker container for XGBoost so that it can be used in the Estimator. \n", "\n", "In the `.fit()` function, we pass in a training and validation dataset along with an `experiment_config`. The `experiment_config` ensures that the metrics, parameters, and artifats associated with this training job are logged to the experiment and trial created above. \n" ] }, { "cell_type": "code", "execution_count": 9, "id": "8fed64de", "metadata": { "execution": { "iopub.execute_input": "2022-04-18T00:21:56.238377Z", "iopub.status.busy": "2022-04-18T00:21:56.237354Z", "iopub.status.idle": "2022-04-18T00:21:56.264467Z", "shell.execute_reply": "2022-04-18T00:21:56.263710Z" }, "papermill": { "duration": 0.08736, "end_time": "2022-04-18T00:21:56.264638", "exception": false, "start_time": "2022-04-18T00:21:56.177278", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO:sagemaker.image_uris:Same images used for training and inference. Defaulting to image scope: inference.\n" ] } ], "source": [ "from sagemaker.estimator import Estimator\n", "\n", "model_path = f\"s3://{default_bucket}/{s3_prefix}/xgb_model\"\n", "training_instance_type = \"ml.m5.large\"\n", "\n", "image_uri = sagemaker.image_uris.retrieve(\n", " framework=\"xgboost\",\n", " region=region,\n", " version=\"1.5-1\",\n", " py_version=\"py3\",\n", " instance_type=training_instance_type,\n", ")\n", "\n", "xgb_train = Estimator(\n", " image_uri=image_uri,\n", " instance_type=training_instance_type,\n", " instance_count=1,\n", " output_path=model_path,\n", " sagemaker_session=sagemaker_session,\n", " role=role,\n", ")\n", "\n", "xgb_train.set_hyperparameters(\n", " objective=\"reg:linear\",\n", " num_round=50,\n", " max_depth=5,\n", " eta=0.2,\n", " gamma=4,\n", " min_child_weight=6,\n", " subsample=0.7,\n", " verbosity=0,\n", ")" ] }, { "cell_type": "code", "execution_count": 10, "id": "5285ba3d", "metadata": { "execution": { "iopub.execute_input": "2022-04-18T00:21:56.379639Z", "iopub.status.busy": "2022-04-18T00:21:56.378511Z", "iopub.status.idle": "2022-04-18T00:26:05.399560Z", "shell.execute_reply": "2022-04-18T00:26:05.399050Z" }, "papermill": { "duration": 249.082849, "end_time": "2022-04-18T00:26:05.399691", "exception": false, "start_time": "2022-04-18T00:21:56.316842", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO:sagemaker.image_uris:Defaulting to the only supported framework/algorithm version: latest.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO:sagemaker.image_uris:Ignoring unnecessary instance type: None.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO:sagemaker:Creating training-job with name: sagemaker-xgboost-2022-04-18-00-21-56-371\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "2022-04-18 00:21:56 Starting - Starting the training job." ] }, { "name": "stdout", "output_type": "stream", "text": [ "." ] }, { "name": "stdout", "output_type": "stream", "text": [ "." ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "2022-04-18 00:22:12 Starting - Preparing the instances for trainingProfilerReport-1650241316: InProgress\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "." ] }, { "name": "stdout", "output_type": "stream", "text": [ "." ] }, { "name": "stdout", "output_type": "stream", "text": [ "." ] }, { "name": "stdout", "output_type": "stream", "text": [ "." ] }, { "name": "stdout", "output_type": "stream", "text": [ "." ] }, { "name": "stdout", "output_type": "stream", "text": [ "." ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "2022-04-18 00:23:27 Downloading - Downloading input data" ] }, { "name": "stdout", "output_type": "stream", "text": [ "." ] }, { "name": "stdout", "output_type": "stream", "text": [ "." ] }, { "name": "stdout", "output_type": "stream", "text": [ "." ] }, { "name": "stdout", "output_type": "stream", "text": [ "." ] }, { "name": "stdout", "output_type": "stream", "text": [ "." ] }, { "name": "stdout", "output_type": "stream", "text": [ "." ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "2022-04-18 00:24:28 Training - Downloading the training image." ] }, { "name": "stdout", "output_type": "stream", "text": [ "." ] }, { "name": "stdout", "output_type": "stream", "text": [ "." ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "2022-04-18 00:25:01 Uploading - Uploading generated training model\u001b[34mINFO:sagemaker-containers:Imported framework sagemaker_xgboost_container.training\u001b[0m\n", "\u001b[34mINFO:sagemaker-containers:Failed to parse hyperparameter objective value reg:linear to Json.\u001b[0m\n", "\u001b[34mReturning the value itself\u001b[0m\n", "\u001b[34mINFO:sagemaker-containers:No GPUs detected (normal if no gpus installed)\u001b[0m\n", "\u001b[34mINFO:sagemaker_xgboost_container.training:Running XGBoost Sagemaker in algorithm mode\u001b[0m\n", "\u001b[34mINFO:root:Determined delimiter of CSV input is ','\u001b[0m\n", "\u001b[34mINFO:root:Determined delimiter of CSV input is ','\u001b[0m\n", "\u001b[34mINFO:root:Determined delimiter of CSV input is ','\u001b[0m\n", "\u001b[34m[00:24:55] 2923x10 matrix with 29230 entries loaded from /opt/ml/input/data/train?format=csv&label_column=0&delimiter=,\u001b[0m\n", "\u001b[34mINFO:root:Determined delimiter of CSV input is ','\u001b[0m\n", "\u001b[34m[00:24:55] 627x10 matrix with 6270 entries loaded from /opt/ml/input/data/validation?format=csv&label_column=0&delimiter=,\u001b[0m\n", "\u001b[34mINFO:root:Single node training.\u001b[0m\n", "\u001b[34mINFO:root:Train matrix has 2923 rows\u001b[0m\n", "\u001b[34mINFO:root:Validation matrix has 627 rows\u001b[0m\n", "\u001b[34m[00:24:55] WARNING: /workspace/src/objective/regression_obj.cu:167: reg:linear is now deprecated in favor of reg:squarederror.\u001b[0m\n", "\u001b[34m[00:24:55] WARNING: /workspace/src/learner.cc:328: \u001b[0m\n", "\u001b[34mParameters: { num_round, silent } might not be used.\n", " This may not be accurate due to some parameters are only used in language bindings but\n", " passed down to XGBoost core. Or some parameters are not used but slip through this\n", " verification. Please open an issue if you find above cases.\u001b[0m\n", "\u001b[34m[0]#011train-rmse:8.09483#011validation-rmse:8.33559\u001b[0m\n", "\u001b[34m[1]#011train-rmse:6.62617#011validation-rmse:6.86867\u001b[0m\n", "\u001b[34m[2]#011train-rmse:5.47384#011validation-rmse:5.71510\u001b[0m\n", "\u001b[34m[3]#011train-rmse:4.56593#011validation-rmse:4.80989\u001b[0m\n", "\u001b[34m[4]#011train-rmse:3.87283#011validation-rmse:4.13381\u001b[0m\n", "\u001b[34m[5]#011train-rmse:3.34117#011validation-rmse:3.60401\u001b[0m\n", "\u001b[34m[6]#011train-rmse:2.94611#011validation-rmse:3.22161\u001b[0m\n", "\u001b[34m[7]#011train-rmse:2.65142#011validation-rmse:2.91350\u001b[0m\n", "\u001b[34m[8]#011train-rmse:2.43912#011validation-rmse:2.71088\u001b[0m\n", "\u001b[34m[9]#011train-rmse:2.28429#011validation-rmse:2.56262\u001b[0m\n", "\u001b[34m[10]#011train-rmse:2.17619#011validation-rmse:2.46501\u001b[0m\n", "\u001b[34m[11]#011train-rmse:2.10069#011validation-rmse:2.39678\u001b[0m\n", "\u001b[34m[12]#011train-rmse:2.03541#011validation-rmse:2.35187\u001b[0m\n", "\u001b[34m[13]#011train-rmse:1.99775#011validation-rmse:2.31802\u001b[0m\n", "\u001b[34m[14]#011train-rmse:1.95787#011validation-rmse:2.30118\u001b[0m\n", "\u001b[34m[15]#011train-rmse:1.93027#011validation-rmse:2.28703\u001b[0m\n", "\u001b[34m[16]#011train-rmse:1.90745#011validation-rmse:2.27673\u001b[0m\n", "\u001b[34m[17]#011train-rmse:1.89317#011validation-rmse:2.28023\u001b[0m\n", "\u001b[34m[18]#011train-rmse:1.86939#011validation-rmse:2.27143\u001b[0m\n", "\u001b[34m[19]#011train-rmse:1.85007#011validation-rmse:2.26374\u001b[0m\n", "\u001b[34m[20]#011train-rmse:1.83256#011validation-rmse:2.26897\u001b[0m\n", "\u001b[34m[21]#011train-rmse:1.82095#011validation-rmse:2.27035\u001b[0m\n", "\u001b[34m[22]#011train-rmse:1.81574#011validation-rmse:2.26190\u001b[0m\n", "\u001b[34m[23]#011train-rmse:1.80797#011validation-rmse:2.26231\u001b[0m\n", "\u001b[34m[24]#011train-rmse:1.78942#011validation-rmse:2.26233\u001b[0m\n", "\u001b[34m[25]#011train-rmse:1.78354#011validation-rmse:2.26086\u001b[0m\n", "\u001b[34m[26]#011train-rmse:1.77177#011validation-rmse:2.26747\u001b[0m\n", "\u001b[34m[27]#011train-rmse:1.76730#011validation-rmse:2.26610\u001b[0m\n", "\u001b[34m[28]#011train-rmse:1.75690#011validation-rmse:2.26657\u001b[0m\n", "\u001b[34m[29]#011train-rmse:1.75205#011validation-rmse:2.26914\u001b[0m\n", "\u001b[34m[30]#011train-rmse:1.75068#011validation-rmse:2.26550\u001b[0m\n", "\u001b[34m[31]#011train-rmse:1.74036#011validation-rmse:2.26121\u001b[0m\n", "\u001b[34m[32]#011train-rmse:1.72941#011validation-rmse:2.26256\u001b[0m\n", "\u001b[34m[33]#011train-rmse:1.71468#011validation-rmse:2.25891\u001b[0m\n", "\u001b[34m[34]#011train-rmse:1.71255#011validation-rmse:2.25856\u001b[0m\n", "\u001b[34m[35]#011train-rmse:1.71040#011validation-rmse:2.26029\u001b[0m\n", "\u001b[34m[36]#011train-rmse:1.70669#011validation-rmse:2.26590\u001b[0m\n", "\u001b[34m[37]#011train-rmse:1.70319#011validation-rmse:2.26375\u001b[0m\n", "\u001b[34m[38]#011train-rmse:1.69704#011validation-rmse:2.26592\u001b[0m\n", "\u001b[34m[39]#011train-rmse:1.69448#011validation-rmse:2.26439\u001b[0m\n", "\u001b[34m[40]#011train-rmse:1.68990#011validation-rmse:2.26771\u001b[0m\n", "\u001b[34m[41]#011train-rmse:1.67904#011validation-rmse:2.26990\u001b[0m\n", "\u001b[34m[42]#011train-rmse:1.67131#011validation-rmse:2.26866\u001b[0m\n", "\u001b[34m[43]#011train-rmse:1.66305#011validation-rmse:2.26504\u001b[0m\n", "\u001b[34m[44]#011train-rmse:1.65370#011validation-rmse:2.27383\u001b[0m\n", "\u001b[34m[45]#011train-rmse:1.64502#011validation-rmse:2.27462\u001b[0m\n", "\u001b[34m[46]#011train-rmse:1.63533#011validation-rmse:2.27985\u001b[0m\n", "\u001b[34m[47]#011train-rmse:1.62758#011validation-rmse:2.28381\u001b[0m\n", "\u001b[34m[48]#011train-rmse:1.61885#011validation-rmse:2.28484\u001b[0m\n", "\u001b[34m[49]#011train-rmse:1.61356#011validation-rmse:2.28200\u001b[0m\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "2022-04-18 00:25:48 Completed - Training job completed\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Training seconds: 108\n", "Billable seconds: 108\n" ] } ], "source": [ "from sagemaker.inputs import TrainingInput\n", "\n", "xgb_train.fit(\n", " inputs={\n", " \"train\": TrainingInput(\n", " s3_data=training_data,\n", " content_type=\"text/csv\",\n", " ),\n", " \"validation\": TrainingInput(\n", " s3_data=validation_data,\n", " content_type=\"text/csv\",\n", " ),\n", " },\n", " experiment_config={\n", " \"ExperimentName\": experiment_name,\n", " \"TrialName\": trial.trial_name,\n", " \"TrialComponentDisplayName\": \"MultiHopQueryTrialComponent\",\n", " },\n", ")" ] }, { "cell_type": "markdown", "id": "ce43b815", "metadata": { "papermill": { "duration": 0.231837, "end_time": "2022-04-18T00:26:05.932590", "exception": false, "start_time": "2022-04-18T00:26:05.700753", "status": "completed" }, "tags": [] }, "source": [ "## Create a Model Package Group for the trained model to be registered\n", "\n", "Create a new Model Package Group or use an existing one to register the model." ] }, { "cell_type": "code", "execution_count": 11, "id": "17e9f1e0", "metadata": { "execution": { "iopub.execute_input": "2022-04-18T00:26:06.143662Z", "iopub.status.busy": "2022-04-18T00:26:06.142740Z", "iopub.status.idle": "2022-04-18T00:26:06.211242Z", "shell.execute_reply": "2022-04-18T00:26:06.210527Z" }, "papermill": { "duration": 0.141459, "end_time": "2022-04-18T00:26:06.211386", "exception": false, "start_time": "2022-04-18T00:26:06.069927", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "model_package_group_name = \"lineage-test-\" + unique_id\n", "mpg = sm_client.create_model_package_group(ModelPackageGroupName=model_package_group_name)\n", "mpg_arn = mpg[\"ModelPackageGroupArn\"]" ] }, { "cell_type": "markdown", "id": "d17d04c0", "metadata": { "papermill": { "duration": 0.164678, "end_time": "2022-04-18T00:26:06.478218", "exception": false, "start_time": "2022-04-18T00:26:06.313540", "status": "completed" }, "tags": [] }, "source": [ "## Register the model in the Model Registry\n", "Once the model is registered, it appears in the Model Registry tab of the SageMaker Studio UI. The model is registered with the `approval_status` set to \"Approved\". By default, the model is registered with the `approval_status` set to \"PendingManualApproval\". Users can then navigate to the Model Registry to manually approve the model based on any criteria set for model evaluation or this can be done via API. " ] }, { "cell_type": "code", "execution_count": 12, "id": "38ab67a1", "metadata": { "execution": { "iopub.execute_input": "2022-04-18T00:26:06.711865Z", "iopub.status.busy": "2022-04-18T00:26:06.711126Z", "iopub.status.idle": "2022-04-18T00:26:06.997506Z", "shell.execute_reply": "2022-04-18T00:26:06.999952Z" }, "papermill": { "duration": 0.36442, "end_time": "2022-04-18T00:26:07.000558", "exception": false, "start_time": "2022-04-18T00:26:06.636138", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Model Package ARN : arn:aws:sagemaker:us-west-2:000000000000:model-package/lineage-test-1650241311/1\n" ] } ], "source": [ "inference_instance_type = \"ml.m5.xlarge\"\n", "model_package = xgb_train.register(\n", " model_package_group_name=mpg_arn,\n", " inference_instances=[inference_instance_type],\n", " transform_instances=[inference_instance_type],\n", " content_types=[\"text/csv\"],\n", " response_types=[\"text/csv\"],\n", " approval_status=\"Approved\",\n", ")\n", "\n", "model_package_arn = model_package.model_package_arn\n", "print(\"Model Package ARN : \", model_package_arn)" ] }, { "cell_type": "markdown", "id": "570f9d6c", "metadata": { "papermill": { "duration": 0.060471, "end_time": "2022-04-18T00:26:07.156494", "exception": false, "start_time": "2022-04-18T00:26:07.096023", "status": "completed" }, "tags": [] }, "source": [ "## Deploy the model to a SageMaker Endpoint\n", "\n", "A SageMaker Endpoint is used to host a model that can be used for inference. The type of endpoint deployed in this notebook is a real time inference endpoint. This is ideal for inference workloads where you have real-time, interactive, low latency requirements." ] }, { "cell_type": "code", "execution_count": 13, "id": "8433e1e9", "metadata": { "execution": { "iopub.execute_input": "2022-04-18T00:26:07.290500Z", "iopub.status.busy": "2022-04-18T00:26:07.289414Z", "iopub.status.idle": "2022-04-18T00:28:08.679128Z", "shell.execute_reply": "2022-04-18T00:28:08.680773Z" }, "papermill": { "duration": 121.466207, "end_time": "2022-04-18T00:28:08.680960", "exception": false, "start_time": "2022-04-18T00:26:07.214753", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO:sagemaker:Creating model with name: 1-2022-04-18-00-26-07-325\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO:sagemaker:Creating endpoint-config with name lineage-test-endpoint-1650241311\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO:sagemaker:Creating endpoint with name lineage-test-endpoint-1650241311\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "-" ] }, { "name": "stdout", "output_type": "stream", "text": [ "-" ] }, { "name": "stdout", "output_type": "stream", "text": [ "-" ] }, { "name": "stdout", "output_type": "stream", "text": [ "-" ] }, { "name": "stdout", "output_type": "stream", "text": [ "!" ] } ], "source": [ "endpoint_name = \"lineage-test-endpoint-\" + unique_id\n", "model_package.deploy(\n", " endpoint_name=endpoint_name,\n", " initial_instance_count=1,\n", " instance_type=inference_instance_type,\n", ")" ] }, { "cell_type": "code", "execution_count": 14, "id": "17178ffe", "metadata": { "execution": { "iopub.execute_input": "2022-04-18T00:28:08.865886Z", "iopub.status.busy": "2022-04-18T00:28:08.864991Z", "iopub.status.idle": "2022-04-18T00:28:08.959717Z", "shell.execute_reply": "2022-04-18T00:28:08.960369Z" }, "papermill": { "duration": 0.19124, "end_time": "2022-04-18T00:28:08.960518", "exception": false, "start_time": "2022-04-18T00:28:08.769278", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "arn:aws:sagemaker:us-west-2:000000000000:endpoint/lineage-test-endpoint-1650241311\n" ] } ], "source": [ "# Get the endpoint ARN\n", "endpoint_arn = sm_client.describe_endpoint(EndpointName=endpoint_name)[\"EndpointArn\"]\n", "print(endpoint_arn)" ] }, { "cell_type": "markdown", "id": "1b73bd20", "metadata": { "papermill": { "duration": 0.186054, "end_time": "2022-04-18T00:28:09.242728", "exception": false, "start_time": "2022-04-18T00:28:09.056674", "status": "completed" }, "tags": [] }, "source": [ "## SageMaker Lineage Queries\n", "\n", "We explore SageMaker's lineage capabilities to traverse the relationships between the entities created in this notebook - datasets, model, endpoint, and training job. " ] }, { "cell_type": "code", "execution_count": 15, "id": "fc2b4ef0", "metadata": { "execution": { "iopub.execute_input": "2022-04-18T00:28:09.426915Z", "iopub.status.busy": "2022-04-18T00:28:09.424706Z", "iopub.status.idle": "2022-04-18T00:28:09.427701Z", "shell.execute_reply": "2022-04-18T00:28:09.428139Z" }, "papermill": { "duration": 0.099576, "end_time": "2022-04-18T00:28:09.428273", "exception": false, "start_time": "2022-04-18T00:28:09.328697", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "from sagemaker.lineage.context import Context, EndpointContext\n", "from sagemaker.lineage.action import Action\n", "from sagemaker.lineage.association import Association\n", "from sagemaker.lineage.artifact import Artifact, ModelArtifact, DatasetArtifact\n", "\n", "from sagemaker.lineage.query import (\n", " LineageQuery,\n", " LineageFilter,\n", " LineageSourceEnum,\n", " LineageEntityEnum,\n", " LineageQueryDirectionEnum,\n", ")" ] }, { "cell_type": "markdown", "id": "093e985e", "metadata": { "papermill": { "duration": 0.060241, "end_time": "2022-04-18T00:28:09.549648", "exception": false, "start_time": "2022-04-18T00:28:09.489407", "status": "completed" }, "tags": [] }, "source": [ "### Using the LineageQuery API to find entity associations\n", "\n", "In this section we use two APIs, `LineageQuery` and `LineageFilter` to construct queries to answer questions about the Lineage Graph and extract entity relationships. \n", "\n", "LineageQuery parameters:\n", "* `start_arns`: A list of ARNs that is used as the starting point for the query.\n", "* `direction`: The direction of the query.\n", "* `include_edges`: If true, return edges in addition to vertices.\n", "* `query_filter`: The query filter.\n", "\n", "LineageFilter paramters:\n", "* `entities`: A list of entity types (Artifact, Association, Action) to filter for when returning the results on LineageQuery\n", "* `sources`: A list of source types (Endpoint, Model, Dataset) to filter for when returning the results of LineageQuery\n", "\n", "A `Context` is automatically created when a SageMaker Endpoint is created, an `Artifact` is automatically created when a Model is created in SageMaker. " ] }, { "cell_type": "code", "execution_count": 16, "id": "a30c455b", "metadata": { "execution": { "iopub.execute_input": "2022-04-18T00:28:09.728570Z", "iopub.status.busy": "2022-04-18T00:28:09.725785Z", "iopub.status.idle": "2022-04-18T00:28:09.885082Z", "shell.execute_reply": "2022-04-18T00:28:09.884584Z" }, "papermill": { "duration": 0.273637, "end_time": "2022-04-18T00:28:09.885212", "exception": false, "start_time": "2022-04-18T00:28:09.611575", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Find the endpoint context and model artifact that should be used for the lineage queries.\n", "\n", "contexts = Context.list(source_uri=endpoint_arn)\n", "context_name = list(contexts)[0].context_name\n", "endpoint_context = EndpointContext.load(context_name=context_name)" ] }, { "cell_type": "markdown", "id": "9963e76e", "metadata": { "papermill": { "duration": 0.061589, "end_time": "2022-04-18T00:28:10.007389", "exception": false, "start_time": "2022-04-18T00:28:09.945800", "status": "completed" }, "tags": [] }, "source": [ "#### Find all datasets associated with an Endpoint" ] }, { "cell_type": "code", "execution_count": 17, "id": "dfde258b", "metadata": { "execution": { "iopub.execute_input": "2022-04-18T00:28:10.150292Z", "iopub.status.busy": "2022-04-18T00:28:10.149572Z", "iopub.status.idle": "2022-04-18T00:28:10.451715Z", "shell.execute_reply": "2022-04-18T00:28:10.452487Z" }, "papermill": { "duration": 0.385712, "end_time": "2022-04-18T00:28:10.452638", "exception": false, "start_time": "2022-04-18T00:28:10.066926", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['s3://sagemaker-us-west-2-000000000000/experiments-demo/train.csv',\n", " 's3://sagemaker-us-west-2-000000000000/experiments-demo/validation.csv']\n" ] } ], "source": [ "# Define the LineageFilter to look for entities of type `ARTIFACT` and the source of type `DATASET`.\n", "\n", "query_filter = LineageFilter(\n", " entities=[LineageEntityEnum.ARTIFACT], sources=[LineageSourceEnum.DATASET]\n", ")\n", "\n", "# Providing this `LineageFilter` to the `LineageQuery` constructs a query that traverses through the given context `endpoint_context`\n", "# and find all datasets.\n", "\n", "query_result = LineageQuery(sagemaker_session).query(\n", " start_arns=[endpoint_context.context_arn],\n", " query_filter=query_filter,\n", " direction=LineageQueryDirectionEnum.ASCENDANTS,\n", " include_edges=False,\n", ")\n", "\n", "# Parse through the query results to get the lineage objects corresponding to the datasets\n", "dataset_artifacts = []\n", "for vertex in query_result.vertices:\n", " dataset_artifacts.append(vertex.to_lineage_object().source.source_uri)\n", "\n", "pp.pprint(dataset_artifacts)" ] }, { "cell_type": "markdown", "id": "7dab1c4a", "metadata": { "papermill": { "duration": 0.070208, "end_time": "2022-04-18T00:28:10.581996", "exception": false, "start_time": "2022-04-18T00:28:10.511788", "status": "completed" }, "tags": [] }, "source": [ "#### Find the models associated with an Endpoint" ] }, { "cell_type": "code", "execution_count": 18, "id": "6294fc97", "metadata": { "execution": { "iopub.execute_input": "2022-04-18T00:28:10.736557Z", "iopub.status.busy": "2022-04-18T00:28:10.735846Z", "iopub.status.idle": "2022-04-18T00:28:11.056073Z", "shell.execute_reply": "2022-04-18T00:28:11.055587Z" }, "papermill": { "duration": 0.41345, "end_time": "2022-04-18T00:28:11.056192", "exception": false, "start_time": "2022-04-18T00:28:10.642742", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['arn:aws:sagemaker:us-west-2:000000000000:model-package/lineage-test-1650241311/1',\n", " 's3://sagemaker-us-west-2-000000000000/multihop-example/xgb_model/sagemaker-xgboost-2022-04-18-00-21-56-371/output/model.tar.gz']\n" ] } ], "source": [ "# Define the LineageFilter to look for entities of type `ARTIFACT` and the source of type `MODEL`.\n", "\n", "query_filter = LineageFilter(\n", " entities=[LineageEntityEnum.ARTIFACT], sources=[LineageSourceEnum.MODEL]\n", ")\n", "\n", "# Providing this `LineageFilter` to the `LineageQuery` constructs a query that traverses through the given context `endpoint_context`\n", "# and find all datasets.\n", "\n", "query_result = LineageQuery(sagemaker_session).query(\n", " start_arns=[endpoint_context.context_arn],\n", " query_filter=query_filter,\n", " direction=LineageQueryDirectionEnum.ASCENDANTS,\n", " include_edges=False,\n", ")\n", "\n", "# Parse through the query results to get the lineage objects corresponding to the model\n", "model_artifacts = []\n", "for vertex in query_result.vertices:\n", " model_artifacts.append(vertex.to_lineage_object().source.source_uri)\n", "\n", "# The results of the `LineageQuery` API call return the ARN of the model deployed to the endpoint along with\n", "# the S3 URI to the model.tar.gz file associated with the model\n", "pp.pprint(model_artifacts)" ] }, { "cell_type": "markdown", "id": "4fa79344", "metadata": { "papermill": { "duration": 0.058894, "end_time": "2022-04-18T00:28:11.177287", "exception": false, "start_time": "2022-04-18T00:28:11.118393", "status": "completed" }, "tags": [] }, "source": [ "#### Find the trial components associated with an Endpoint" ] }, { "cell_type": "code", "execution_count": 19, "id": "d417bf3a", "metadata": { "execution": { "iopub.execute_input": "2022-04-18T00:28:11.302796Z", "iopub.status.busy": "2022-04-18T00:28:11.302134Z", "iopub.status.idle": "2022-04-18T00:28:11.391013Z", "shell.execute_reply": "2022-04-18T00:28:11.390532Z" }, "papermill": { "duration": 0.155052, "end_time": "2022-04-18T00:28:11.391132", "exception": false, "start_time": "2022-04-18T00:28:11.236080", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['arn:aws:sagemaker:us-west-2:000000000000:experiment-trial-component/sagemaker-xgboost-2022-04-18-00-21-56-371-aws-training-job']\n" ] } ], "source": [ "# Define the LineageFilter to look for entities of type `TRIAL_COMPONENT` and the source of type `TRAINING_JOB`.\n", "\n", "query_filter = LineageFilter(\n", " entities=[LineageEntityEnum.TRIAL_COMPONENT],\n", " sources=[LineageSourceEnum.TRAINING_JOB],\n", ")\n", "\n", "# Providing this `LineageFilter` to the `LineageQuery` constructs a query that traverses through the given context `endpoint_context`\n", "# and find all datasets.\n", "\n", "query_result = LineageQuery(sagemaker_session).query(\n", " start_arns=[endpoint_context.context_arn],\n", " query_filter=query_filter,\n", " direction=LineageQueryDirectionEnum.ASCENDANTS,\n", " include_edges=False,\n", ")\n", "\n", "# Parse through the query results to get the ARNs of the training jobs associated with this Endpoint\n", "trial_components = []\n", "for vertex in query_result.vertices:\n", " trial_components.append(vertex.arn)\n", "\n", "pp.pprint(trial_components)" ] }, { "cell_type": "markdown", "id": "9954748f", "metadata": { "papermill": { "duration": 0.069502, "end_time": "2022-04-18T00:28:11.531770", "exception": false, "start_time": "2022-04-18T00:28:11.462268", "status": "completed" }, "tags": [] }, "source": [ "#### Change the focal point of lineage\n", "\n", "The `LineageQuery` can be modified to have different `start_arns` which changes the focal point of lineage. In addition, the `LineageFilter` can take multiple sources and entities to expand the scope of the query. \n", "\n", "**Here we use the model as the lineage focal point and find the Endpoints and Datasets associated with it.**" ] }, { "cell_type": "code", "execution_count": 20, "id": "0c28d8ea", "metadata": { "execution": { "iopub.execute_input": "2022-04-18T00:28:11.702516Z", "iopub.status.busy": "2022-04-18T00:28:11.701469Z", "iopub.status.idle": "2022-04-18T00:28:11.882451Z", "shell.execute_reply": "2022-04-18T00:28:11.883477Z" }, "papermill": { "duration": 0.283796, "end_time": "2022-04-18T00:28:11.883638", "exception": false, "start_time": "2022-04-18T00:28:11.599842", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Get the ModelArtifact\n", "\n", "model_artifact_summary = list(Artifact.list(source_uri=model_package_arn))[0]\n", "model_artifact = ModelArtifact.load(artifact_arn=model_artifact_summary.artifact_arn)" ] }, { "cell_type": "code", "execution_count": 21, "id": "ca86919e", "metadata": { "execution": { "iopub.execute_input": "2022-04-18T00:28:12.069067Z", "iopub.status.busy": "2022-04-18T00:28:12.068355Z", "iopub.status.idle": "2022-04-18T00:28:12.417332Z", "shell.execute_reply": "2022-04-18T00:28:12.417909Z" }, "papermill": { "duration": 0.459339, "end_time": "2022-04-18T00:28:12.418092", "exception": false, "start_time": "2022-04-18T00:28:11.958753", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['s3://sagemaker-us-west-2-000000000000/experiments-demo/train.csv',\n", " 's3://sagemaker-us-west-2-000000000000/experiments-demo/validation.csv']\n" ] } ], "source": [ "query_filter = LineageFilter(\n", " entities=[LineageEntityEnum.ARTIFACT],\n", " sources=[LineageSourceEnum.ENDPOINT, LineageSourceEnum.DATASET],\n", ")\n", "\n", "query_result = LineageQuery(sagemaker_session).query(\n", " start_arns=[model_artifact.artifact_arn], # Model is the starting artifact\n", " query_filter=query_filter,\n", " # Find all the entities that descend from the model, i.e. the endpoint\n", " direction=LineageQueryDirectionEnum.DESCENDANTS,\n", " include_edges=False,\n", ")\n", "\n", "associations = []\n", "for vertex in query_result.vertices:\n", " associations.append(vertex.to_lineage_object().source.source_uri)\n", "\n", "query_result = LineageQuery(sagemaker_session).query(\n", " start_arns=[model_artifact.artifact_arn], # Model is the starting artifact\n", " query_filter=query_filter,\n", " # Find all the entities that ascend from the model, i.e. the datasets\n", " direction=LineageQueryDirectionEnum.ASCENDANTS,\n", " include_edges=False,\n", ")\n", "\n", "for vertex in query_result.vertices:\n", " associations.append(vertex.to_lineage_object().source.source_uri)\n", "\n", "pp.pprint(associations)" ] }, { "cell_type": "markdown", "id": "eaa41ff9", "metadata": { "papermill": { "duration": 0.118264, "end_time": "2022-04-18T00:28:12.611359", "exception": false, "start_time": "2022-04-18T00:28:12.493095", "status": "completed" }, "tags": [] }, "source": [ "#### Use LineageQueryDirectionEnum.BOTH\n", "\n", "When the direction is set to `BOTH`, when the query traverses the graph to find ascendant and descendant relationships, the traversal takes place not only from the starting node, but from each node that is visited. \n", "\n", "e.g. If the training job is run twice and both models generated by the training job are deployed to endpoints, this result of the query with direction set to `BOTH` shows both endpoints. This is because the same image is used for training and deploying the model. Since the image is common to the model (`start_arn`) and both the endpoints, it appears in the query result. " ] }, { "cell_type": "code", "execution_count": 22, "id": "f4bee658", "metadata": { "execution": { "iopub.execute_input": "2022-04-18T00:28:12.850164Z", "iopub.status.busy": "2022-04-18T00:28:12.841574Z", "iopub.status.idle": "2022-04-18T00:28:13.059016Z", "shell.execute_reply": "2022-04-18T00:28:13.059534Z" }, "papermill": { "duration": 0.366618, "end_time": "2022-04-18T00:28:13.059709", "exception": false, "start_time": "2022-04-18T00:28:12.693091", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['s3://sagemaker-us-west-2-000000000000/experiments-demo/train.csv',\n", " 's3://sagemaker-us-west-2-000000000000/experiments-demo/validation.csv']\n" ] } ], "source": [ "query_filter = LineageFilter(\n", " entities=[LineageEntityEnum.ARTIFACT],\n", " sources=[LineageSourceEnum.ENDPOINT, LineageSourceEnum.DATASET],\n", ")\n", "\n", "query_result = LineageQuery(sagemaker_session).query(\n", " start_arns=[model_artifact.artifact_arn], # Model is the starting artifact\n", " query_filter=query_filter,\n", " # This specifies that the query should look for associations both ascending and descending for the start\n", " direction=LineageQueryDirectionEnum.BOTH,\n", " include_edges=False,\n", ")\n", "\n", "associations = []\n", "for vertex in query_result.vertices:\n", " associations.append(vertex.to_lineage_object().source.source_uri)\n", "\n", "pp.pprint(associations)" ] }, { "cell_type": "markdown", "id": "a69aff24", "metadata": { "papermill": { "duration": 0.102007, "end_time": "2022-04-18T00:28:13.229104", "exception": false, "start_time": "2022-04-18T00:28:13.127097", "status": "completed" }, "tags": [] }, "source": [ "### Directions in LineageQuery: Ascendants vs. Descendants\n", "\n", "To understand the direction in the Lineage Graph, take the following entity relationship graph - \n", "Dataset -> Training Job -> Model -> Endpoint\n", "\n", "The endpoint is a **descendant** of the model, and the model is a **descendant** of the dataset. Similarly, the model is an **ascendant** of the endpoint The `direction` parameter can be used to specify whether the query should return entities that are descendants or ascendants of the entity in start_arns. If `start_arns` contains a model and the direction is `DESCENDANTS`, the query returns the endpoint. If the direction is `ASCENDANTS`, the query returns the dataset.\"" ] }, { "cell_type": "code", "execution_count": 23, "id": "a273b49f", "metadata": { "execution": { "iopub.execute_input": "2022-04-18T00:28:13.397659Z", "iopub.status.busy": "2022-04-18T00:28:13.396588Z", "iopub.status.idle": "2022-04-18T00:28:13.755563Z", "shell.execute_reply": "2022-04-18T00:28:13.755089Z" }, "papermill": { "duration": 0.436413, "end_time": "2022-04-18T00:28:13.755683", "exception": false, "start_time": "2022-04-18T00:28:13.319270", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Ascendant artifacts:\n", "['s3://sagemaker-us-west-2-000000000000/experiments-demo/train.csv',\n", " 's3://sagemaker-us-west-2-000000000000/experiments-demo/validation.csv',\n", " 's3://sagemaker-us-west-2-000000000000/multihop-example/xgb_model/sagemaker-xgboost-2022-04-18-00-21-56-371/output/model.tar.gz']\n", "Descendant artifacts:\n", "[]\n" ] } ], "source": [ "# In this example, we'll look at the impact of specifying the direction as ASCENDANT or DESCENDANT in a `LineageQuery`.\n", "\n", "query_filter = LineageFilter(\n", " entities=[LineageEntityEnum.ARTIFACT],\n", " sources=[\n", " LineageSourceEnum.ENDPOINT,\n", " LineageSourceEnum.MODEL,\n", " LineageSourceEnum.DATASET,\n", " LineageSourceEnum.TRAINING_JOB,\n", " ],\n", ")\n", "\n", "query_result = LineageQuery(sagemaker_session).query(\n", " start_arns=[model_artifact.artifact_arn],\n", " query_filter=query_filter,\n", " direction=LineageQueryDirectionEnum.ASCENDANTS,\n", " include_edges=False,\n", ")\n", "\n", "ascendant_artifacts = []\n", "\n", "# The lineage entity returned for the Training Job is a TrialComponent which can't be converted to a\n", "# lineage object using the method `to_lineage_object()` so we extract the TrialComponent ARN.\n", "for vertex in query_result.vertices:\n", " try:\n", " ascendant_artifacts.append(vertex.to_lineage_object().source.source_uri)\n", " except:\n", " ascendant_artifacts.append(vertex.arn)\n", "\n", "print(\"Ascendant artifacts:\")\n", "pp.pprint(ascendant_artifacts)\n", "\n", "query_result = LineageQuery(sagemaker_session).query(\n", " start_arns=[model_artifact.artifact_arn],\n", " query_filter=query_filter,\n", " direction=LineageQueryDirectionEnum.DESCENDANTS,\n", " include_edges=False,\n", ")\n", "\n", "descendant_artifacts = []\n", "for vertex in query_result.vertices:\n", " try:\n", " descendant_artifacts.append(vertex.to_lineage_object().source.source_uri)\n", " except:\n", " # Handling TrialComponents.\n", " descendant_artifacts.append(vertex.arn)\n", "\n", "print(\"Descendant artifacts:\")\n", "pp.pprint(descendant_artifacts)" ] }, { "cell_type": "markdown", "id": "f7ec9d14", "metadata": { "papermill": { "duration": 0.060729, "end_time": "2022-04-18T00:28:13.877321", "exception": false, "start_time": "2022-04-18T00:28:13.816592", "status": "completed" }, "tags": [] }, "source": [ "### SDK helper functions\n", "\n", "The classes `EndpointContext`, `ModelArtifact`, and `DatasetArtifact`have helper functions that are wrappers over the `LineageQuery` API to make \n", "certain lineage queries easier to leverage. " ] }, { "cell_type": "code", "execution_count": 24, "id": "b5df166d", "metadata": { "execution": { "iopub.execute_input": "2022-04-18T00:28:14.011418Z", "iopub.status.busy": "2022-04-18T00:28:14.010699Z", "iopub.status.idle": "2022-04-18T00:28:14.541105Z", "shell.execute_reply": "2022-04-18T00:28:14.540616Z" }, "papermill": { "duration": 0.601608, "end_time": "2022-04-18T00:28:14.541224", "exception": false, "start_time": "2022-04-18T00:28:13.939616", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Datasets : ['s3://sagemaker-us-west-2-000000000000/experiments-demo/train.csv', 's3://sagemaker-us-west-2-000000000000/experiments-demo/validation.csv']\n", "Training Jobs : ['arn:aws:sagemaker:us-west-2:000000000000:training-job/sagemaker-xgboost-2022-04-18-00-21-56-371']\n" ] } ], "source": [ "# Find all the datasets associated with the endpoint\n", "\n", "datasets = []\n", "dataset_artifacts = endpoint_context.dataset_artifacts()\n", "for dataset in dataset_artifacts:\n", " datasets.append(dataset.source.source_uri)\n", "print(\"Datasets : \", datasets)\n", "\n", "# Find the training jobs associated with the endpoint\n", "training_job_artifacts = endpoint_context.training_job_arns()\n", "training_jobs = []\n", "for training_job in training_job_artifacts:\n", " training_jobs.append(training_job)\n", "print(\"Training Jobs : \", training_jobs)\n", "\n", "# Get the ARN for the pipeline execution associated with this endpoint (if any)\n", "pipeline_executions = endpoint_context.pipeline_execution_arn()\n", "if pipeline_executions:\n", " for pipeline in pipelines_executions:\n", " print(pipeline)" ] }, { "cell_type": "code", "execution_count": 25, "id": "dfc055f5", "metadata": { "execution": { "iopub.execute_input": "2022-04-18T00:28:14.703807Z", "iopub.status.busy": "2022-04-18T00:28:14.703130Z", "iopub.status.idle": "2022-04-18T00:28:15.019639Z", "shell.execute_reply": "2022-04-18T00:28:15.020598Z" }, "papermill": { "duration": 0.401729, "end_time": "2022-04-18T00:28:15.020756", "exception": false, "start_time": "2022-04-18T00:28:14.619027", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Datasets associated with this model : \n", "['s3://sagemaker-us-west-2-000000000000/experiments-demo/train.csv',\n", " 's3://sagemaker-us-west-2-000000000000/experiments-demo/validation.csv']\n", "Endpoints associated with this model : \n", "['arn:aws:sagemaker:us-west-2:000000000000:endpoint/lineage-test-endpoint-1650241311']\n" ] } ], "source": [ "# Here we use the `ModelArtifact` class to find all the datasets and endpoints associated with the model\n", "\n", "dataset_artifacts = model_artifact.dataset_artifacts()\n", "endpoint_contexts = model_artifact.endpoint_contexts()\n", "\n", "datasets = [dataset.source.source_uri for dataset in dataset_artifacts]\n", "endpoints = [endpoint.source.source_uri for endpoint in endpoint_contexts]\n", "\n", "print(\"Datasets associated with this model : \")\n", "pp.pprint(datasets)\n", "\n", "print(\"Endpoints associated with this model : \")\n", "pp.pprint(endpoints)" ] }, { "cell_type": "code", "execution_count": 26, "id": "1fd69a51", "metadata": { "execution": { "iopub.execute_input": "2022-04-18T00:28:15.326795Z", "iopub.status.busy": "2022-04-18T00:28:15.325455Z", "iopub.status.idle": "2022-04-18T00:28:15.939132Z", "shell.execute_reply": "2022-04-18T00:28:15.940082Z" }, "papermill": { "duration": 0.803714, "end_time": "2022-04-18T00:28:15.940257", "exception": false, "start_time": "2022-04-18T00:28:15.136543", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Endpoints associated with the training dataset s3://sagemaker-us-west-2-000000000000/experiments-demo/train.csv\n", "['arn:aws:sagemaker:us-west-2:000000000000:endpoint/lineage-test-endpoint-1638836105',\n", " 'arn:aws:sagemaker:us-west-2:000000000000:endpoint/lineage-test-endpoint-1639181910',\n", " 'arn:aws:sagemaker:us-west-2:000000000000:endpoint/lineage-test-endpoint-1638576916',\n", " 'arn:aws:sagemaker:us-west-2:000000000000:endpoint/lineage-test-endpoint-1638749736',\n", " 'arn:aws:sagemaker:us-west-2:000000000000:endpoint/lineage-test-endpoint-1639008846',\n", " 'arn:aws:sagemaker:us-west-2:000000000000:endpoint/lineage-test-endpoint-1650241311']\n" ] } ], "source": [ "# Here we use the `DatasetArtifact` class to find all the endpoints hosting models that were trained with a particular dataset\n", "# Find the artifact associated with the dataset\n", "\n", "dataset_artifact_arn = list(Artifact.list(source_uri=training_data))[0].artifact_arn\n", "dataset_artifact = DatasetArtifact.load(artifact_arn=dataset_artifact_arn)\n", "\n", "# Find the endpoints that used this training dataset\n", "endpoint_contexts = dataset_artifact.endpoint_contexts()\n", "endpoints = [endpoint.source.source_uri for endpoint in endpoint_contexts]\n", "\n", "print(\"Endpoints associated with the training dataset {}\".format(training_data))\n", "pp.pprint(endpoints)" ] }, { "cell_type": "markdown", "id": "2f9fdd40", "metadata": { "papermill": { "duration": 0.243598, "end_time": "2022-04-18T00:28:16.363579", "exception": false, "start_time": "2022-04-18T00:28:16.119981", "status": "completed" }, "tags": [] }, "source": [ "### Lineage Graph Visualization\n", "\n", "A helper class `Visualizer()` is provided in `visualizer.py` to help plot the lineage graph. When the query response is rendered, a graph with the lineage relationships from the `StartArns` is displayed. From the `StartArns` the visualization shows the relationships with the other lineage entities returned in the `query_lineage` API call. " ] }, { "cell_type": "code", "execution_count": 27, "id": "106d8d5a", "metadata": { "execution": { "iopub.execute_input": "2022-04-18T00:28:16.568500Z", "iopub.status.busy": "2022-04-18T00:28:16.567367Z", "iopub.status.idle": "2022-04-18T00:28:17.262765Z", "shell.execute_reply": "2022-04-18T00:28:17.263375Z" }, "papermill": { "duration": 0.771066, "end_time": "2022-04-18T00:28:17.263588", "exception": false, "start_time": "2022-04-18T00:28:16.492522", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Graph APIs\n", "# Here we use the boto3 `query_lineage` API to generate the query response to plot.\n", "\n", "from visualizer import Visualizer\n", "\n", "query_response = sm_client.query_lineage(\n", " StartArns=[endpoint_context.context_arn], Direction=\"Ascendants\", IncludeEdges=True\n", ")\n", "\n", "viz = Visualizer()\n", "viz.render(query_response, \"Endpoint\")" ] }, { "cell_type": "code", "execution_count": 28, "id": "22436292", "metadata": { "execution": { "iopub.execute_input": "2022-04-18T00:28:17.409805Z", "iopub.status.busy": "2022-04-18T00:28:17.409172Z", "iopub.status.idle": "2022-04-18T00:28:17.553404Z", "shell.execute_reply": "2022-04-18T00:28:17.552973Z" }, "papermill": { "duration": 0.218634, "end_time": "2022-04-18T00:28:17.553525", "exception": false, "start_time": "2022-04-18T00:28:17.334891", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "query_response = sm_client.query_lineage(\n", " StartArns=[model_artifact.artifact_arn], Direction=\"Ascendants\", IncludeEdges=True\n", ")\n", "viz.render(query_response, \"Model\")" ] }, { "cell_type": "markdown", "id": "b393afa3", "metadata": { "papermill": { "duration": 0.06462, "end_time": "2022-04-18T00:28:17.681467", "exception": false, "start_time": "2022-04-18T00:28:17.616847", "status": "completed" }, "tags": [] }, "source": [ "## Conclusion\n", "\n", "This notebook demostrated the capabilities of SageMaker Lineage that make it easy for users to keep track of their complex ML workflows. Users can construct their own lineage queries using the `LineageQuery` API and `LineageFilter` or they can use the functions provided on the `EndpointContext`, `ModelArtifact`, and `DatasetArtifact` classes. \n", "\n", "In addition, the responses from lineage queries can be plotting using the helper class `Visualizer()` to better understand the relationship between the lineage entities. \n", "\n", "When using SageMaker Pipelines as part of their ML workflows, users can find Pipeline execution ARNs using the lineage APIs described in this notebook.\n", "\n", "## Cleanup\n", "In this section we clean up the resources created in this notebook." ] }, { "cell_type": "code", "execution_count": 29, "id": "8f43ef02", "metadata": { "execution": { "iopub.execute_input": "2022-04-18T00:28:17.821277Z", "iopub.status.busy": "2022-04-18T00:28:17.820433Z", "iopub.status.idle": "2022-04-18T00:28:18.071316Z", "shell.execute_reply": "2022-04-18T00:28:18.071797Z" }, "papermill": { "duration": 0.325756, "end_time": "2022-04-18T00:28:18.071943", "exception": false, "start_time": "2022-04-18T00:28:17.746187", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "{'ResponseMetadata': {'RequestId': '4a4ce803-ff77-4112-93e4-9d23826eba8d',\n", " 'HTTPStatusCode': 200,\n", " 'HTTPHeaders': {'x-amzn-requestid': '4a4ce803-ff77-4112-93e4-9d23826eba8d',\n", " 'content-type': 'application/x-amz-json-1.1',\n", " 'content-length': '0',\n", " 'date': 'Mon, 18 Apr 2022 00:28:17 GMT'},\n", " 'RetryAttempts': 0}}" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Delete endpoint\n", "\n", "sm_client.delete_endpoint(EndpointName=endpoint_name)\n", "\n", "# # Delete the model package\n", "sm_client.delete_model_package(ModelPackageName=model_package.model_package_arn)\n", "\n", "# Delete the model package group\n", "sm_client.delete_model_package_group(ModelPackageGroupName=model_package_group_name)" ] }, { "cell_type": "code", "execution_count": 30, "id": "2e19fe85", "metadata": { "execution": { "iopub.execute_input": "2022-04-18T00:28:18.240842Z", "iopub.status.busy": "2022-04-18T00:28:18.240258Z", "iopub.status.idle": "2022-04-18T00:28:19.419313Z", "shell.execute_reply": "2022-04-18T00:28:19.414325Z" }, "papermill": { "duration": 1.281177, "end_time": "2022-04-18T00:28:19.419484", "exception": false, "start_time": "2022-04-18T00:28:18.138307", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Experiment MultihopQueryExperiment-1650241311 deleted\n" ] } ], "source": [ "# Delete the experiment and trial within it\n", "\n", "import time\n", "\n", "\n", "def delete_experiment(experiment):\n", " for trial_summary in experiment.list_trials():\n", " trial = Trial.load(trial_name=trial_summary.trial_name)\n", " for trial_component_summary in trial.list_trial_components():\n", " tc = TrialComponent.load(\n", " trial_component_name=trial_component_summary.trial_component_name\n", " )\n", " trial.remove_trial_component(tc)\n", " try:\n", " # comment out to keep trial components\n", " tc.delete()\n", " except:\n", " # tc is associated with another trial\n", " continue\n", " # to prevent throttling\n", " time.sleep(0.5)\n", " trial.delete()\n", " experiment_name = experiment.experiment_name\n", " experiment.delete()\n", " print(f\"\\nExperiment {experiment_name} deleted\")\n", "\n", "\n", "# Delete the Experiment and Trials within it\n", "experiment = Experiment.load(experiment_name=exp.experiment_name)\n", "delete_experiment(experiment)" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Notebook CI Test Results\n", "\n", "This notebook was tested in multiple regions. The test results are as follows, except for us-west-2 which is shown at the top of the notebook.\n", "\n", "![This us-east-1 badge failed to load. Check your device's internet connectivity, otherwise the service is currently unavailable](https://prod.us-west-2.tcx-beacon.docs.aws.dev/sagemaker-nb/us-east-1/sagemaker-lineage|sagemaker-lineage-multihop-queries_outputs.ipynb)\n", "\n", "![This us-east-2 badge failed to load. Check your device's internet connectivity, otherwise the service is currently unavailable](https://prod.us-west-2.tcx-beacon.docs.aws.dev/sagemaker-nb/us-east-2/sagemaker-lineage|sagemaker-lineage-multihop-queries_outputs.ipynb)\n", "\n", "![This us-west-1 badge failed to load. Check your device's internet connectivity, otherwise the service is currently unavailable](https://prod.us-west-2.tcx-beacon.docs.aws.dev/sagemaker-nb/us-west-1/sagemaker-lineage|sagemaker-lineage-multihop-queries_outputs.ipynb)\n", "\n", "![This ca-central-1 badge failed to load. Check your device's internet connectivity, otherwise the service is currently unavailable](https://prod.us-west-2.tcx-beacon.docs.aws.dev/sagemaker-nb/ca-central-1/sagemaker-lineage|sagemaker-lineage-multihop-queries_outputs.ipynb)\n", "\n", "![This sa-east-1 badge failed to load. Check your device's internet connectivity, otherwise the service is currently unavailable](https://prod.us-west-2.tcx-beacon.docs.aws.dev/sagemaker-nb/sa-east-1/sagemaker-lineage|sagemaker-lineage-multihop-queries_outputs.ipynb)\n", "\n", "![This eu-west-1 badge failed to load. Check your device's internet connectivity, otherwise the service is currently unavailable](https://prod.us-west-2.tcx-beacon.docs.aws.dev/sagemaker-nb/eu-west-1/sagemaker-lineage|sagemaker-lineage-multihop-queries_outputs.ipynb)\n", "\n", "![This eu-west-2 badge failed to load. 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Check your device's internet connectivity, otherwise the service is currently unavailable](https://prod.us-west-2.tcx-beacon.docs.aws.dev/sagemaker-nb/ap-northeast-1/sagemaker-lineage|sagemaker-lineage-multihop-queries_outputs.ipynb)\n", "\n", "![This ap-northeast-2 badge failed to load. Check your device's internet connectivity, otherwise the service is currently unavailable](https://prod.us-west-2.tcx-beacon.docs.aws.dev/sagemaker-nb/ap-northeast-2/sagemaker-lineage|sagemaker-lineage-multihop-queries_outputs.ipynb)\n", "\n", "![This ap-south-1 badge failed to load. Check your device's internet connectivity, otherwise the service is currently unavailable](https://prod.us-west-2.tcx-beacon.docs.aws.dev/sagemaker-nb/ap-south-1/sagemaker-lineage|sagemaker-lineage-multihop-queries_outputs.ipynb)\n" ] } ], "metadata": { "instance_type": "ml.t3.medium", "interpreter": { "hash": "ac2eaa0ea0ebeafcc7822e65e46aa9d4f966f30b695406963e145ea4a91cd4fc" }, "kernelspec": { "display_name": "conda_amazonei_tensorflow_p36", "language": "python", "name": "conda_amazonei_tensorflow_p36" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.13" }, "papermill": { "default_parameters": {}, "duration": 448.895438, "end_time": "2022-04-18T00:28:20.347889", "environment_variables": {}, "exception": null, "input_path": "sagemaker-lineage-multihop-queries.ipynb", "output_path": "/opt/ml/processing/output/sagemaker-lineage-multihop-queries-2022-04-18-00-09-29.ipynb", "parameters": { "kms_key": "arn:aws:kms:us-west-2:000000000000:1234abcd-12ab-34cd-56ef-1234567890ab" }, "start_time": "2022-04-18T00:20:51.452451", "version": "2.3.4" } }, "nbformat": 4, "nbformat_minor": 5 }

archived/sagemaker-lineage-multihop-queries_outputs.ipynb (4,205 lines of code) (raw):