 archived/xgboost_customer_churn_outputs.ipynb

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   "source": [
    "# Customer Churn Prediction with XGBoost\n"
   ]
  },
  {
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   "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/introduction_to_applying_machine_learning|xgboost_customer_churn|xgboost_customer_churn_outputs.ipynb)\n",
    "\n",
    "---"
   ]
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   "source": [
    "_**Using Gradient Boosted Trees to Predict Mobile Customer Departure**_\n",
    "\n",
    "---\n",
    "\n",
    "---\n",
    "\n",
    "## Runtime\n",
    "\n",
    "This notebook takes approximately 8 minutes to run.\n",
    "\n",
    "## Contents\n",
    "\n",
    "1. [Background](#Background)\n",
    "1. [Setup](#Setup)\n",
    "1. [Data](#Data)\n",
    "1. [Train](#Train)\n",
    "1. [Host](#Host)\n",
    "  1. [Evaluate](#Evaluate)\n",
    "  1. [Relative cost of errors](#Relative-cost-of-errors)\n",
    "1. [Extensions](#Extensions)\n",
    "\n",
    "---\n",
    "\n",
    "## Background\n",
    "\n",
    "This notebook has been adapted from an [AWS blog post](https://aws.amazon.com/blogs/ai/predicting-customer-churn-with-amazon-machine-learning/).\n",
    "\n",
    "Losing customers is costly for any business.  Identifying unhappy customers early on gives you a chance to offer them incentives to stay.  This notebook describes using machine learning (ML) for the automated identification of unhappy customers, also known as customer churn prediction. ML models rarely give perfect predictions though, so this notebook is also about how to incorporate the relative costs of prediction mistakes when determining the financial outcome of using ML.\n",
    "\n",
    "We use a familiar example of churn: leaving a mobile phone operator.  Seems like one can always find fault with their provider du jour! And if the provider knows that a customer is thinking of leaving, it can offer timely incentives - such as a phone upgrade or perhaps having a new feature activated \u2013 and the customer may stick around. Incentives are often much more cost-effective than losing and reacquiring a customer.\n",
    "\n",
    "---\n",
    "\n",
    "## Setup\n",
    "\n",
    "_This notebook was created and tested on a `ml.m4.xlarge` notebook instance._\n",
    "\n",
    "Let's start by updating the required packages i.e. SageMaker Python SDK, `pandas` and `numpy`, and specifying:\n",
    "\n",
    "- The S3 bucket and prefix that you want to use for training and model data.  This should be within the same region as the Notebook Instance or Studio, training, and hosting.\n",
    "- The IAM role ARN used to give training and hosting access to your data. See the documentation for how to create these.  Note: if more than one role is required for notebook instances, training, and/or hosting, please replace the boto regexp with the appropriate full IAM role ARN string(s)."
   ]
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     "status": "completed"
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   "outputs": [
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      "/opt/conda/lib/python3.7/site-packages/secretstorage/dhcrypto.py:16: CryptographyDeprecationWarning: int_from_bytes is deprecated, use int.from_bytes instead\r\n",
      "  from cryptography.utils import int_from_bytes\r\n",
      "/opt/conda/lib/python3.7/site-packages/secretstorage/util.py:25: CryptographyDeprecationWarning: int_from_bytes is deprecated, use int.from_bytes instead\r\n",
      "  from cryptography.utils import int_from_bytes\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: sagemaker in /opt/conda/lib/python3.7/site-packages (2.69.1.dev0)\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting sagemaker\r\n"
     ]
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     "text": [
      "  Downloading sagemaker-2.86.2.tar.gz (521 kB)\r\n",
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      "\u001b[K     |\u2589                               | 276 kB 63.5 MB/s eta 0:00:01\r\n",
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      "\u001b[K     |\u2588\u2588\u258d                             | 829 kB 63.5 MB/s eta 0:00:01\r\n",
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      "\u001b[K     |\u2588\u2588\u258d                             | 849 kB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u258d                             | 860 kB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u258c                             | 870 kB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u258c                             | 880 kB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u258c                             | 890 kB 63.5 MB/s eta 0:00:01\r\n",
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      "\u001b[K     |\u2588\u2588\u258b                             | 911 kB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u258b                             | 921 kB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u258b                             | 931 kB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u258a                             | 942 kB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u258a                             | 952 kB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u258a                             | 962 kB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u258a                             | 972 kB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2589                             | 983 kB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2589                             | 993 kB 63.5 MB/s eta 0:00:01"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "\u001b[K     |\u2588\u2588\u2589                             | 1.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2589                             | 1.0 MB 63.5 MB/s eta 0:00:01\r\n",
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      "\u001b[K     |\u2588\u2588\u2588                             | 1.0 MB 63.5 MB/s eta 0:00:01\r\n",
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      "\u001b[K     |\u2588\u2588\u2588\u2588\u258e                           | 1.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u258e                           | 1.5 MB 63.5 MB/s eta 0:00:01\r\n",
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      "\u001b[K     |\u2588\u2588\u2588\u2588\u258d                           | 1.5 MB 63.5 MB/s eta 0:00:01\r\n",
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      "\u001b[K     |\u2588\u2588\u2588\u2588\u258d                           | 1.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u258d                           | 1.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u258c                           | 1.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u258c                           | 1.6 MB 63.5 MB/s eta 0:00:01\r\n",
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      "\u001b[K     |\u2588\u2588\u2588\u2588\u258b                           | 1.6 MB 63.5 MB/s eta 0:00:01\r\n",
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      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588                           | 1.8 MB 63.5 MB/s eta 0:00:01\r\n",
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      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588                           | 1.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588                           | 1.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258f                          | 1.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258f                          | 1.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258f                          | 1.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258e                          | 1.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258e                          | 1.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258e                          | 1.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258e                          | 1.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258d                          | 1.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258d                          | 1.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258d                          | 1.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258d                          | 1.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258c                          | 1.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258c                          | 1.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258c                          | 1.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258c                          | 2.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258b                          | 2.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258b                          | 2.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258b                          | 2.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258b                          | 2.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258a                          | 2.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258a                          | 2.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258a                          | 2.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2589                          | 2.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2589                          | 2.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2589                          | 2.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2589                          | 2.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588                          | 2.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588                          | 2.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588                          | 2.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588                          | 2.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588                          | 2.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588                          | 2.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588                          | 2.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588                          | 2.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258f                         | 2.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258f                         | 2.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258f                         | 2.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258f                         | 2.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258e                         | 2.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258e                         | 2.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258e                         | 2.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258e                         | 2.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258d                         | 2.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258d                         | 2.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258d                         | 2.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258c                         | 2.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258c                         | 2.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258c                         | 2.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258c                         | 2.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258b                         | 2.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258b                         | 2.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258b                         | 2.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258b                         | 2.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258a                         | 2.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258a                         | 2.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258a                         | 2.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258a                         | 2.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2589                         | 2.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2589                         | 2.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2589                         | 2.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2589                         | 2.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588                         | 2.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588                         | 2.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588                         | 2.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588                         | 2.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588                         | 2.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588                         | 2.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588                         | 2.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                        | 2.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                        | 2.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                        | 2.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                        | 2.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                        | 2.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                        | 2.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                        | 2.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                        | 2.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                        | 2.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                        | 2.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                        | 2.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                        | 2.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                        | 2.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                        | 2.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                        | 2.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                        | 2.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                        | 2.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                        | 2.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                        | 2.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                        | 2.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                        | 2.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                        | 2.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                        | 2.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                        | 2.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                        | 2.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                        | 2.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                        | 2.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                        | 2.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                        | 2.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                        | 2.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                        | 2.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                        | 2.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                        | 2.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                        | 2.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                        | 2.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                       | 2.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                       | 2.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                       | 2.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                       | 2.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                       | 2.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                       | 2.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                       | 2.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                       | 2.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                       | 2.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                       | 3.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                       | 3.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                       | 3.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                       | 3.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                       | 3.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                       | 3.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                       | 3.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                       | 3.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                       | 3.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                       | 3.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                       | 3.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                       | 3.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                       | 3.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                       | 3.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                       | 3.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                       | 3.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                       | 3.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                       | 3.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                       | 3.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                       | 3.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                       | 3.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                       | 3.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                       | 3.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                       | 3.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                       | 3.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                      | 3.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                      | 3.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                      | 3.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                      | 3.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                      | 3.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                      | 3.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                      | 3.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                      | 3.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                      | 3.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                      | 3.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                      | 3.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                      | 3.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                      | 3.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                      | 3.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                      | 3.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                      | 3.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                      | 3.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                      | 3.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                      | 3.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                      | 3.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                      | 3.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                      | 3.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                      | 3.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                      | 3.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                      | 3.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                      | 3.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                      | 3.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                      | 3.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                      | 3.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                      | 3.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                      | 3.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                      | 3.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                      | 3.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                      | 3.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                      | 3.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                     | 3.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                     | 3.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                     | 3.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                     | 3.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                     | 3.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                     | 3.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                     | 3.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                     | 3.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                     | 3.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                     | 3.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                     | 3.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                     | 3.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                     | 3.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                     | 3.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                     | 3.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                     | 3.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                     | 3.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                     | 3.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                     | 3.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                     | 3.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                     | 3.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                     | 3.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                     | 3.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                     | 3.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                     | 3.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                     | 3.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                     | 3.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                     | 3.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                     | 3.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                     | 3.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                     | 3.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                     | 3.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                     | 3.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                     | 3.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                    | 3.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                    | 3.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                    | 3.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                    | 4.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                    | 4.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                    | 4.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                    | 4.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                    | 4.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                    | 4.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                    | 4.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                    | 4.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                    | 4.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                    | 4.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                    | 4.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                    | 4.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                    | 4.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                    | 4.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                    | 4.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                    | 4.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                    | 4.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                    | 4.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                    | 4.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                    | 4.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                    | 4.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                    | 4.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                    | 4.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                    | 4.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                    | 4.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                    | 4.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                    | 4.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                    | 4.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                    | 4.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                    | 4.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                    | 4.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                    | 4.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                   | 4.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                   | 4.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                   | 4.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                   | 4.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                   | 4.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                   | 4.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                   | 4.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                   | 4.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                   | 4.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                   | 4.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                   | 4.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                   | 4.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                   | 4.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                   | 4.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                   | 4.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                   | 4.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                   | 4.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                   | 4.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                   | 4.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                   | 4.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                   | 4.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                   | 4.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                   | 4.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                   | 4.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                   | 4.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                   | 4.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                   | 4.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                   | 4.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                   | 4.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                   | 4.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                   | 4.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                   | 4.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                   | 4.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                   | 4.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                  | 4.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                  | 4.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                  | 4.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                  | 4.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                  | 4.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                  | 4.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                  | 4.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                  | 4.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                  | 4.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                  | 4.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                  | 4.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                  | 4.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                  | 4.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                  | 4.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                  | 4.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                  | 4.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                  | 4.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                  | 4.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                  | 4.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                  | 4.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                  | 4.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                  | 4.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                  | 4.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                  | 4.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                  | 4.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                  | 4.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                  | 4.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                  | 4.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                  | 4.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                  | 4.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                  | 4.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                  | 4.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                  | 5.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                  | 5.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                  | 5.0 MB 63.5 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                 | 5.0 MB 63.5 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                 | 5.0 MB 63.5 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                 | 5.0 MB 63.5 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                 | 5.0 MB 63.5 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                 | 5.0 MB 63.5 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                 | 5.0 MB 63.5 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                 | 5.0 MB 63.5 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                 | 5.1 MB 63.5 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                 | 5.1 MB 63.5 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                 | 5.1 MB 63.5 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                 | 5.1 MB 63.5 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                 | 5.1 MB 63.5 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                 | 5.1 MB 63.5 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                 | 5.1 MB 63.5 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                 | 5.1 MB 63.5 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                 | 5.1 MB 63.5 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                 | 5.2 MB 63.5 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                 | 5.2 MB 63.5 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                 | 5.2 MB 63.5 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                 | 5.2 MB 63.5 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                 | 5.2 MB 63.5 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                 | 5.2 MB 63.5 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                 | 5.2 MB 63.5 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                 | 5.2 MB 63.5 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                 | 5.2 MB 63.5 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                 | 5.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                 | 5.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                 | 5.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                 | 5.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                 | 5.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                 | 5.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                 | 5.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                 | 5.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                 | 5.3 MB 63.5 MB/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                | 5.3 MB 63.5 MB/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                | 5.3 MB 63.5 MB/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                | 5.4 MB 63.5 MB/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                | 5.4 MB 63.5 MB/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                | 5.4 MB 63.5 MB/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                | 5.4 MB 63.5 MB/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                | 5.4 MB 63.5 MB/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                | 5.4 MB 63.5 MB/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                | 5.4 MB 63.5 MB/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                | 5.4 MB 63.5 MB/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                | 5.4 MB 63.5 MB/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                | 5.4 MB 63.5 MB/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                | 5.5 MB 63.5 MB/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                | 5.5 MB 63.5 MB/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                | 5.5 MB 63.5 MB/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                | 5.5 MB 63.5 MB/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                | 5.5 MB 63.5 MB/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                | 5.5 MB 63.5 MB/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                | 5.5 MB 63.5 MB/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                | 5.5 MB 63.5 MB/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                | 5.5 MB 63.5 MB/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                | 5.6 MB 63.5 MB/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                | 5.6 MB 63.5 MB/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                | 5.6 MB 63.5 MB/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                | 5.6 MB 63.5 MB/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                | 5.6 MB 63.5 MB/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                | 5.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                | 5.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                | 5.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                | 5.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                | 5.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                | 5.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                | 5.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                | 5.7 MB 63.5 MB/s 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               | 5.7 MB 63.5 MB/s 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               | 5.7 MB 63.5 MB/s 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               | 5.7 MB 63.5 MB/s 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               | 5.7 MB 63.5 MB/s 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               | 5.7 MB 63.5 MB/s 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               | 5.7 MB 63.5 MB/s 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               | 5.7 MB 63.5 MB/s 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               | 5.8 MB 63.5 MB/s 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               | 5.8 MB 63.5 MB/s 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               | 5.8 MB 63.5 MB/s 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               | 5.8 MB 63.5 MB/s 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               | 5.8 MB 63.5 MB/s 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               | 5.8 MB 63.5 MB/s 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               | 5.8 MB 63.5 MB/s 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               | 5.8 MB 63.5 MB/s 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               | 5.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b               | 5.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b               | 5.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b               | 5.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b               | 5.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a               | 5.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a               | 5.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a               | 5.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589               | 5.9 MB 63.5 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\u2589               | 5.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589               | 5.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589               | 5.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588               | 6.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588               | 6.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588               | 6.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588               | 6.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588               | 6.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588               | 6.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588               | 6.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588               | 6.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f              | 6.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f              | 6.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f              | 6.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f              | 6.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e              | 6.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e              | 6.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e              | 6.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d              | 6.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d              | 6.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d              | 6.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d              | 6.1 MB 63.5 MB/s eta 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              | 6.2 MB 63.5 MB/s eta 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              | 6.2 MB 63.5 MB/s eta 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              | 6.2 MB 63.5 MB/s eta 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              | 6.2 MB 63.5 MB/s eta 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              | 6.2 MB 63.5 MB/s eta 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              | 6.2 MB 63.5 MB/s eta 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              | 6.2 MB 63.5 MB/s eta 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              | 6.2 MB 63.5 MB/s eta 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              | 6.2 MB 63.5 MB/s eta 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              | 6.2 MB 63.5 MB/s eta 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              | 6.3 MB 63.5 MB/s eta 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              | 6.3 MB 63.5 MB/s eta 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              | 6.3 MB 63.5 MB/s eta 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              | 6.3 MB 63.5 MB/s eta 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              | 6.3 MB 63.5 MB/s eta 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              | 6.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588              | 6.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588              | 6.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588              | 6.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588              | 6.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588              | 6.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588              | 6.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588              | 6.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f             | 6.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f             | 6.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f             | 6.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f             | 6.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e             | 6.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e             | 6.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e             | 6.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e             | 6.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d             | 6.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d             | 6.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d             | 6.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d             | 6.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c             | 6.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c             | 6.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c             | 6.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c             | 6.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b             | 6.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b             | 6.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b             | 6.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a             | 6.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a             | 6.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a             | 6.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a             | 6.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589             | 6.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589             | 6.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589             | 6.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589             | 6.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588             | 6.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588             | 6.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588             | 6.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588             | 6.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588             | 6.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588             | 6.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588             | 6.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588             | 6.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f            | 6.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f            | 6.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f            | 6.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f            | 6.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e            | 6.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e            | 6.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e            | 6.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d            | 6.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d            | 6.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d            | 6.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d            | 6.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c            | 6.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c            | 6.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c            | 6.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c            | 6.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b            | 6.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b            | 6.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b            | 6.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b            | 6.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a            | 6.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a            | 7.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a            | 7.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a            | 7.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589            | 7.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589            | 7.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589            | 7.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589            | 7.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588            | 7.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588            | 7.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588            | 7.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588            | 7.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588            | 7.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588            | 7.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588            | 7.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f           | 7.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f           | 7.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f           | 7.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f           | 7.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e           | 7.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e           | 7.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e           | 7.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e           | 7.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d           | 7.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d           | 7.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d           | 7.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d           | 7.2 MB 63.5 MB/s eta 0:00:01\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           | 7.2 MB 63.5 MB/s eta 0:00:01\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           | 7.2 MB 63.5 MB/s eta 0:00:01\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           | 7.2 MB 63.5 MB/s eta 0:00:01\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           | 7.2 MB 63.5 MB/s eta 0:00:01\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           | 7.3 MB 63.5 MB/s eta 0:00:01\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           | 7.3 MB 63.5 MB/s eta 0:00:01\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           | 7.3 MB 63.5 MB/s eta 0:00:01\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           | 7.3 MB 63.5 MB/s eta 0:00:01\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           | 7.3 MB 63.5 MB/s eta 0:00:01\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           | 7.3 MB 63.5 MB/s eta 0:00:01\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           | 7.3 MB 63.5 MB/s eta 0:00:01\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           | 7.3 MB 63.5 MB/s eta 0:00:01\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           | 7.3 MB 63.5 MB/s eta 0:00:01\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           | 7.4 MB 63.5 MB/s eta 0:00:01\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           | 7.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588           | 7.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588           | 7.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588           | 7.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588           | 7.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588           | 7.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588           | 7.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588           | 7.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588           | 7.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f          | 7.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f          | 7.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f          | 7.5 MB 63.5 MB/s eta 0:00:01\r\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          | 7.5 MB 63.5 MB/s eta 0:00:01\r\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          | 7.5 MB 63.5 MB/s eta 0:00:01\r\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          | 7.5 MB 63.5 MB/s eta 0:00:01\r\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          | 7.5 MB 63.5 MB/s eta 0:00:01\r\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          | 7.5 MB 63.5 MB/s eta 0:00:01\r\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          | 7.5 MB 63.5 MB/s eta 0:00:01\r\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          | 7.5 MB 63.5 MB/s eta 0:00:01\r\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          | 7.6 MB 63.5 MB/s eta 0:00:01\r\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          | 7.6 MB 63.5 MB/s eta 0:00:01\r\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          | 7.6 MB 63.5 MB/s eta 0:00:01\r\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          | 7.6 MB 63.5 MB/s eta 0:00:01\r\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          | 7.6 MB 63.5 MB/s eta 0:00:01\r\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          | 7.6 MB 63.5 MB/s eta 0:00:01\r\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          | 7.6 MB 63.5 MB/s eta 0:00:01\r\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          | 7.6 MB 63.5 MB/s eta 0:00:01\r\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          | 7.6 MB 63.5 MB/s eta 0:00:01\r\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          | 7.6 MB 63.5 MB/s eta 0:00:01\r\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          | 7.7 MB 63.5 MB/s eta 0:00:01\r\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          | 7.7 MB 63.5 MB/s eta 0:00:01\r\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          | 7.7 MB 63.5 MB/s eta 0:00:01\r\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          | 7.7 MB 63.5 MB/s eta 0:00:01\r\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          | 7.7 MB 63.5 MB/s eta 0:00:01\r\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          | 7.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588          | 7.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588          | 7.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588          | 7.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\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 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\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 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\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 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\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 63.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\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 63.5 MB/s eta 0:00:01\r\n",
      "\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         | 7.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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         | 7.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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         | 7.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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         | 7.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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         | 7.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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         | 7.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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         | 7.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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         | 7.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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         | 7.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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         | 7.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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         | 7.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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         | 7.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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         | 7.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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         | 7.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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         | 7.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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         | 8.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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         | 8.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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         | 8.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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         | 8.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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         | 8.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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         | 8.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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         | 8.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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         | 8.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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         | 8.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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         | 8.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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         | 8.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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         | 8.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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         | 8.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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         | 8.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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         | 8.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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         | 8.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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         | 8.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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         | 8.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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         | 8.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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        | 8.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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        | 8.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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        | 8.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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        | 8.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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        | 8.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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        | 8.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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        | 8.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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        | 8.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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        | 8.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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        | 8.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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        | 8.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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        | 8.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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        | 8.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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        | 8.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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        | 8.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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        | 8.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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        | 8.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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        | 8.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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        | 8.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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        | 8.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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        | 8.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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        | 8.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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        | 8.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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        | 8.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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        | 8.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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        | 8.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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        | 8.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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        | 8.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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        | 8.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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        | 8.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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        | 8.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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        | 8.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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        | 8.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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        | 8.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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        | 8.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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       | 8.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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       | 8.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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       | 8.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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       | 8.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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       | 8.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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       | 8.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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       | 8.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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       | 8.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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       | 8.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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       | 8.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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       | 8.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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       | 8.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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       | 8.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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       | 8.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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       | 8.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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       | 8.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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       | 8.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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       | 8.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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       | 8.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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       | 8.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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       | 8.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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       | 8.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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       | 8.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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       | 8.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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       | 8.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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       | 8.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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       | 8.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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       | 8.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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       | 8.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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       | 8.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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       | 8.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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       | 8.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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       | 8.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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       | 8.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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      | 8.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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      | 8.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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      | 8.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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      | 8.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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      | 8.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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      | 8.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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      | 8.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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      | 8.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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      | 8.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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      | 8.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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      | 9.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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      | 9.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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      | 9.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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      | 9.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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      | 9.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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      | 9.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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      | 9.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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      | 9.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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      | 9.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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      | 9.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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      | 9.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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      | 9.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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      | 9.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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      | 9.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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      | 9.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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      | 9.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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      | 9.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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      | 9.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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      | 9.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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      | 9.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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      | 9.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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      | 9.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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      | 9.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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      | 9.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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      | 9.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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     | 9.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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     | 9.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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     | 9.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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     | 9.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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     | 9.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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     | 9.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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     | 9.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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     | 9.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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     | 9.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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     | 9.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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     | 9.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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     | 9.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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     | 9.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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     | 9.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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     | 9.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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     | 9.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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     | 9.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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     | 9.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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     | 9.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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     | 9.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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     | 9.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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     | 9.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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     | 9.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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     | 9.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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     | 9.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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     | 9.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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     | 9.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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     | 9.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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     | 9.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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     | 9.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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     | 9.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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     | 9.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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     | 9.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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     | 9.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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    | 9.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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    | 9.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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    | 9.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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    | 9.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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    | 9.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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    | 9.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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    | 9.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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    | 9.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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    | 9.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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    | 9.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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    | 9.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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    | 9.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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    | 9.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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    | 9.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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    | 9.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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    | 9.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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    | 9.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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    | 9.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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    | 9.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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    | 9.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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    | 9.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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    | 9.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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    | 9.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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    | 9.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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    | 9.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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    | 9.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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    | 9.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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    | 9.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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    | 9.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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    | 9.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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    | 9.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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    | 9.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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    | 9.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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    | 9.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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    | 9.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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   | 9.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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   | 9.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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   | 9.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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   | 10.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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   | 10.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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   | 10.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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   | 10.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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   | 10.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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   | 10.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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   | 10.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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   | 10.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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   | 10.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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   | 10.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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   | 10.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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   | 10.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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   | 10.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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   | 10.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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   | 10.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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   | 10.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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   | 10.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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   | 10.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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   | 10.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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   | 10.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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   | 10.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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   | 10.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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   | 10.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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   | 10.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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   | 10.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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   | 10.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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   | 10.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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   | 10.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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   | 10.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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   | 10.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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   | 10.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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  | 10.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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  | 10.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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  | 10.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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  | 10.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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  | 10.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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  | 10.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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  | 10.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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  | 10.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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  | 10.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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  | 10.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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  | 10.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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  | 10.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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  | 10.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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  | 10.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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  | 10.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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  | 10.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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  | 10.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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  | 10.4 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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  | 10.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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  | 10.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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  | 10.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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  | 10.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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  | 10.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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  | 10.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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  | 10.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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  | 10.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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  | 10.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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  | 10.5 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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  | 10.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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  | 10.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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  | 10.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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  | 10.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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  | 10.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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  | 10.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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  | 10.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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 | 10.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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 | 10.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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 | 10.6 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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 | 10.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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 | 10.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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 | 10.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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 | 10.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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 | 10.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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 | 10.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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 | 10.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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 | 10.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u258c | 10.7 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u258c | 10.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u258c | 10.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u258c | 10.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u258b | 10.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u258b | 10.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u258b | 10.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u258b | 10.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u258a | 10.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u258a | 10.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u258a | 10.8 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u258a | 10.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u2589 | 10.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u2589 | 10.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u2589 | 10.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u2588 | 10.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u2588 | 10.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u2588 | 10.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u2588 | 10.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u2588 | 10.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u2588 | 10.9 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u2588 | 11.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u2588 | 11.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258f| 11.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258f| 11.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258f| 11.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258f| 11.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258e| 11.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258e| 11.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258e| 11.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258e| 11.0 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258d| 11.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258d| 11.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258d| 11.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258d| 11.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258c| 11.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258c| 11.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258c| 11.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258b| 11.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258b| 11.1 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258b| 11.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258b| 11.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258a| 11.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258a| 11.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258a| 11.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258a| 11.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u2588\u2589| 11.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u2588\u2589| 11.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u2588\u2589| 11.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u2588\u2589| 11.2 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u2588\u2588| 11.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u2588\u2588| 11.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u2588\u2588| 11.3 MB 63.5 MB/s eta 0:00:01\r\n",
      "\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\u2588\u2588| 11.3 MB 63.5 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\u2588\u2588\u2588\u2588\u2588| 11.3 MB 63.5 MB/s \r\n",
      "\u001b[?25h"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: numpy in /opt/conda/lib/python3.7/site-packages (1.21.1)\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting numpy\r\n",
      "  Downloading numpy-1.21.6-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (15.7 MB)\r\n",
      "\u001b[?25l\r\n",
      "\u001b[K     |                                | 10 kB 38.4 MB/s eta 0:00:01\r\n",
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      "\u001b[K     |\u258f                               | 61 kB 44.2 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u258f                               | 71 kB 39.9 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u258f                               | 81 kB 39.0 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u258f                               | 92 kB 39.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u258f                               | 102 kB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u258e                               | 112 kB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u258e                               | 122 kB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u258e                               | 133 kB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u258e                               | 143 kB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u258e                               | 153 kB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u258d                               | 163 kB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u258d                               | 174 kB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u258d                               | 184 kB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u258d                               | 194 kB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u258d                               | 204 kB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u258d                               | 215 kB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u258c                               | 225 kB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u258c                               | 235 kB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u258c                               | 245 kB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u258c                               | 256 kB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u258c                               | 266 kB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u258b                               | 276 kB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u258b                               | 286 kB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u258b                               | 296 kB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u258b                               | 307 kB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u258b                               | 317 kB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u258a                               | 327 kB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u258a                               | 337 kB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u258a                               | 348 kB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u258a                               | 358 kB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u258a                               | 368 kB 38.6 MB/s eta 0:00:01\r\n",
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      "\u001b[K     |\u2588\u2588                              | 1.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588                              | 1.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588                              | 1.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588                              | 1.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u258f                             | 1.0 MB 38.6 MB/s eta 0:00:01\r\n",
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      "\u001b[K     |\u2588\u2588\u258f                             | 1.1 MB 38.6 MB/s eta 0:00:01\r\n",
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      "\u001b[K     |\u2588\u2588\u258f                             | 1.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u258e                             | 1.1 MB 38.6 MB/s eta 0:00:01\r\n",
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      "\u001b[K     |\u2588\u2588\u258e                             | 1.1 MB 38.6 MB/s eta 0:00:01\r\n",
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      "\u001b[K     |\u2588\u2588\u258d                             | 1.1 MB 38.6 MB/s eta 0:00:01\r\n",
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      "\u001b[K     |\u2588\u2588\u258d                             | 1.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u258d                             | 1.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u258c                             | 1.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u258c                             | 1.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u258c                             | 1.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u258c                             | 1.2 MB 38.6 MB/s eta 0:00:01\r\n",
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      "\u001b[K     |\u2588\u2588\u258b                             | 1.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u258b                             | 1.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u258b                             | 1.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u258b                             | 1.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u258b                             | 1.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u258a                             | 1.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u258a                             | 1.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u258a                             | 1.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u258a                             | 1.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u258a                             | 1.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u258a                             | 1.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2589                             | 1.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2589                             | 1.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2589                             | 1.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2589                             | 1.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2589                             | 1.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588                             | 1.4 MB 38.6 MB/s eta 0:00:01"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "\u001b[K     |\u2588\u2588\u2588                             | 1.4 MB 38.6 MB/s eta 0:00:01\r\n",
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      "\u001b[K     |\u2588\u2588\u2588                             | 1.5 MB 38.6 MB/s eta 0:00:01\r\n",
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      "\u001b[K     |\u2588\u2588\u2588\u2588\u258f                           | 2.0 MB 38.6 MB/s eta 0:00:01\r\n",
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      "\u001b[K     |\u2588\u2588\u2588\u2588\u258e                           | 2.1 MB 38.6 MB/s eta 0:00:01\r\n",
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      "\u001b[K     |\u2588\u2588\u2588\u2588\u258d                           | 2.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u258d                           | 2.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u258d                           | 2.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u258d                           | 2.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u258d                           | 2.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u258c                           | 2.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u258c                           | 2.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u258c                           | 2.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u258c                           | 2.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u258c                           | 2.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u258c                           | 2.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u258b                           | 2.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u258b                           | 2.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u258b                           | 2.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u258b                           | 2.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u258b                           | 2.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u258a                           | 2.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u258a                           | 2.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u258a                           | 2.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u258a                           | 2.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u258a                           | 2.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2589                           | 2.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2589                           | 2.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2589                           | 2.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2589                           | 2.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2589                           | 2.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2589                           | 2.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588                           | 2.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588                           | 2.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588                           | 2.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588                           | 2.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588                           | 2.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588                           | 2.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588                           | 2.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588                           | 2.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588                           | 2.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588                           | 2.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258f                          | 2.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258f                          | 2.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258f                          | 2.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258f                          | 2.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258f                          | 2.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258f                          | 2.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258e                          | 2.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258e                          | 2.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258e                          | 2.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258e                          | 2.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258e                          | 2.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258d                          | 2.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258d                          | 2.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258d                          | 2.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258d                          | 2.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258d                          | 2.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258c                          | 2.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258c                          | 2.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258c                          | 2.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258c                          | 2.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258c                          | 2.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258c                          | 2.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258b                          | 2.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258b                          | 2.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258b                          | 2.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258b                          | 2.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258b                          | 2.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258a                          | 2.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258a                          | 2.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258a                          | 2.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258a                          | 2.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258a                          | 2.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2589                          | 2.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2589                          | 2.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2589                          | 2.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2589                          | 2.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2589                          | 2.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2589                          | 2.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588                          | 2.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588                          | 2.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588                          | 2.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588                          | 2.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588                          | 2.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588                          | 2.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588                          | 3.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588                          | 3.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588                          | 3.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588                          | 3.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258f                         | 3.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258f                         | 3.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258f                         | 3.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258f                         | 3.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258f                         | 3.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258f                         | 3.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258e                         | 3.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258e                         | 3.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258e                         | 3.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258e                         | 3.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258e                         | 3.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258d                         | 3.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258d                         | 3.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258d                         | 3.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258d                         | 3.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258d                         | 3.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258c                         | 3.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258c                         | 3.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258c                         | 3.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258c                         | 3.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258c                         | 3.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258c                         | 3.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258b                         | 3.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258b                         | 3.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258b                         | 3.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258b                         | 3.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258b                         | 3.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258a                         | 3.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258a                         | 3.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258a                         | 3.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258a                         | 3.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258a                         | 3.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2589                         | 3.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2589                         | 3.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2589                         | 3.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2589                         | 3.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2589                         | 3.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2589                         | 3.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588                         | 3.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588                         | 3.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588                         | 3.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588                         | 3.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588                         | 3.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588                         | 3.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588                         | 3.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588                         | 3.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588                         | 3.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588                         | 3.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                        | 3.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                        | 3.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                        | 3.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                        | 3.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                        | 3.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                        | 3.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                        | 3.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                        | 3.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                        | 3.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                        | 3.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                        | 3.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                        | 3.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                        | 3.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                        | 3.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                        | 3.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                        | 3.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                        | 3.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                        | 3.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                        | 3.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                        | 3.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                        | 3.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                        | 3.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                        | 3.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                        | 3.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                        | 3.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                        | 3.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                        | 3.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                        | 3.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                        | 3.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                        | 3.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                        | 3.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                        | 3.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                        | 3.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                        | 3.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                        | 3.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                        | 3.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                        | 3.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                        | 3.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                        | 3.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                        | 3.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                        | 3.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                        | 3.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                        | 3.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                        | 3.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                        | 3.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                        | 4.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                        | 4.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                        | 4.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                       | 4.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                       | 4.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                       | 4.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                       | 4.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                       | 4.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                       | 4.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                       | 4.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                       | 4.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                       | 4.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                       | 4.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                       | 4.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                       | 4.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                       | 4.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                       | 4.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                       | 4.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                       | 4.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                       | 4.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                       | 4.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                       | 4.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                       | 4.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                       | 4.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                       | 4.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                       | 4.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                       | 4.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                       | 4.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                       | 4.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                       | 4.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                       | 4.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                       | 4.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                       | 4.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                       | 4.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                       | 4.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                       | 4.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                       | 4.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                       | 4.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                       | 4.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                       | 4.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                       | 4.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                       | 4.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                       | 4.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                       | 4.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                       | 4.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                       | 4.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                       | 4.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                       | 4.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                       | 4.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                       | 4.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                       | 4.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                      | 4.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                      | 4.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                      | 4.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                      | 4.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                      | 4.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                      | 4.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                      | 4.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                      | 4.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                      | 4.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                      | 4.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                      | 4.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                      | 4.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                      | 4.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                      | 4.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                      | 4.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                      | 4.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                      | 4.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                      | 4.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                      | 4.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                      | 4.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                      | 4.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                      | 4.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                      | 4.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                      | 4.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                      | 4.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                      | 4.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                      | 4.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                      | 4.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                      | 4.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                      | 4.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                      | 4.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                      | 4.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                      | 4.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                      | 4.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                      | 4.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                      | 4.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                      | 4.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                      | 4.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                      | 4.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                      | 4.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                      | 4.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                      | 4.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                      | 4.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                      | 4.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                      | 4.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                      | 4.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                      | 4.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                      | 5.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                     | 5.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                     | 5.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                     | 5.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                     | 5.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                     | 5.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                     | 5.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                     | 5.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                     | 5.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                     | 5.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                     | 5.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                     | 5.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                     | 5.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                     | 5.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                     | 5.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                     | 5.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                     | 5.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                     | 5.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                     | 5.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                     | 5.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                     | 5.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                     | 5.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                     | 5.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                     | 5.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                     | 5.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                     | 5.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                     | 5.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                     | 5.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                     | 5.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                     | 5.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                     | 5.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                     | 5.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                     | 5.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                     | 5.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                     | 5.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                     | 5.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                     | 5.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                     | 5.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                     | 5.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                     | 5.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                     | 5.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                     | 5.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                     | 5.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                     | 5.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                     | 5.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                     | 5.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                     | 5.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                     | 5.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                     | 5.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                    | 5.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                    | 5.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                    | 5.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                    | 5.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                    | 5.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                    | 5.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                    | 5.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                    | 5.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                    | 5.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                    | 5.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                    | 5.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                    | 5.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                    | 5.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                    | 5.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                    | 5.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                    | 5.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                    | 5.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                    | 5.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                    | 5.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                    | 5.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                    | 5.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                    | 5.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                    | 5.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                    | 5.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                    | 5.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                    | 5.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                    | 5.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                    | 5.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                    | 5.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                    | 5.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                    | 5.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                    | 5.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                    | 5.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                    | 5.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                    | 5.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                    | 5.8 MB 38.6 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\u2589                    | 5.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                    | 5.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                    | 5.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                    | 5.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                    | 5.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                    | 5.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                    | 5.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                    | 5.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                    | 5.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                    | 5.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                    | 5.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                    | 5.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                   | 5.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                   | 6.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                   | 6.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                   | 6.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                   | 6.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                   | 6.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                   | 6.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                   | 6.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                   | 6.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                   | 6.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                   | 6.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                   | 6.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                   | 6.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                   | 6.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                   | 6.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                   | 6.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                   | 6.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                   | 6.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                   | 6.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                   | 6.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                   | 6.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                   | 6.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                   | 6.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                   | 6.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                   | 6.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                   | 6.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                   | 6.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                   | 6.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                   | 6.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                   | 6.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                   | 6.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                   | 6.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                   | 6.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                   | 6.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                   | 6.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                   | 6.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                   | 6.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                   | 6.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                   | 6.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                   | 6.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                   | 6.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                   | 6.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                   | 6.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                   | 6.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                   | 6.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                   | 6.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                   | 6.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                   | 6.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                  | 6.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                  | 6.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                  | 6.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                  | 6.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                  | 6.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                  | 6.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                  | 6.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                  | 6.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                  | 6.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                  | 6.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                  | 6.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                  | 6.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                  | 6.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                  | 6.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                  | 6.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                  | 6.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                  | 6.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                  | 6.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                  | 6.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                  | 6.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                  | 6.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                  | 6.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                  | 6.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                  | 6.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                  | 6.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                  | 6.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                  | 6.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                  | 6.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                  | 6.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                  | 6.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                  | 6.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                  | 6.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                  | 6.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                  | 6.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                  | 6.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                  | 6.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                  | 6.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                  | 6.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                  | 6.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                  | 6.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                  | 6.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                  | 6.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                  | 6.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                  | 6.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                  | 6.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                  | 6.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                  | 6.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                  | 6.9 MB 38.6 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                 | 6.9 MB 38.6 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                 | 6.9 MB 38.6 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                 | 7.0 MB 38.6 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                 | 7.0 MB 38.6 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                 | 7.0 MB 38.6 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                 | 7.0 MB 38.6 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                 | 7.0 MB 38.6 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                 | 7.0 MB 38.6 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                 | 7.0 MB 38.6 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                 | 7.0 MB 38.6 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                 | 7.0 MB 38.6 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                 | 7.0 MB 38.6 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                 | 7.1 MB 38.6 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                 | 7.1 MB 38.6 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                 | 7.1 MB 38.6 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                 | 7.1 MB 38.6 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                 | 7.1 MB 38.6 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                 | 7.1 MB 38.6 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                 | 7.1 MB 38.6 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                 | 7.1 MB 38.6 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                 | 7.1 MB 38.6 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                 | 7.1 MB 38.6 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                 | 7.2 MB 38.6 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                 | 7.2 MB 38.6 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                 | 7.2 MB 38.6 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                 | 7.2 MB 38.6 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                 | 7.2 MB 38.6 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                 | 7.2 MB 38.6 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                 | 7.2 MB 38.6 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                 | 7.2 MB 38.6 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                 | 7.2 MB 38.6 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                 | 7.2 MB 38.6 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                 | 7.3 MB 38.6 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                 | 7.3 MB 38.6 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                 | 7.3 MB 38.6 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                 | 7.3 MB 38.6 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                 | 7.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                 | 7.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                 | 7.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                 | 7.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                 | 7.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                 | 7.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                 | 7.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                 | 7.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                 | 7.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                 | 7.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                 | 7.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                 | 7.4 MB 38.6 MB/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                | 7.4 MB 38.6 MB/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                | 7.4 MB 38.6 MB/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                | 7.4 MB 38.6 MB/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                | 7.5 MB 38.6 MB/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                | 7.5 MB 38.6 MB/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                | 7.5 MB 38.6 MB/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                | 7.5 MB 38.6 MB/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                | 7.5 MB 38.6 MB/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                | 7.5 MB 38.6 MB/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                | 7.5 MB 38.6 MB/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                | 7.5 MB 38.6 MB/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                | 7.5 MB 38.6 MB/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                | 7.5 MB 38.6 MB/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                | 7.6 MB 38.6 MB/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                | 7.6 MB 38.6 MB/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                | 7.6 MB 38.6 MB/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                | 7.6 MB 38.6 MB/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                | 7.6 MB 38.6 MB/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                | 7.6 MB 38.6 MB/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                | 7.6 MB 38.6 MB/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                | 7.6 MB 38.6 MB/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                | 7.6 MB 38.6 MB/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                | 7.6 MB 38.6 MB/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                | 7.7 MB 38.6 MB/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                | 7.7 MB 38.6 MB/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                | 7.7 MB 38.6 MB/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                | 7.7 MB 38.6 MB/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                | 7.7 MB 38.6 MB/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                | 7.7 MB 38.6 MB/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                | 7.7 MB 38.6 MB/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                | 7.7 MB 38.6 MB/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                | 7.7 MB 38.6 MB/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                | 7.8 MB 38.6 MB/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                | 7.8 MB 38.6 MB/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                | 7.8 MB 38.6 MB/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                | 7.8 MB 38.6 MB/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                | 7.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                | 7.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                | 7.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                | 7.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                | 7.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                | 7.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                | 7.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                | 7.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                | 7.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                | 7.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                | 7.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                | 7.9 MB 38.6 MB/s 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               | 7.9 MB 38.6 MB/s 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               | 7.9 MB 38.6 MB/s 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               | 7.9 MB 38.6 MB/s 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               | 7.9 MB 38.6 MB/s 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               | 8.0 MB 38.6 MB/s 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               | 8.0 MB 38.6 MB/s 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               | 8.0 MB 38.6 MB/s 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               | 8.0 MB 38.6 MB/s 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               | 8.0 MB 38.6 MB/s 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               | 8.0 MB 38.6 MB/s 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               | 8.0 MB 38.6 MB/s 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               | 8.0 MB 38.6 MB/s 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               | 8.0 MB 38.6 MB/s 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               | 8.0 MB 38.6 MB/s 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               | 8.1 MB 38.6 MB/s 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               | 8.1 MB 38.6 MB/s 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               | 8.1 MB 38.6 MB/s 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               | 8.1 MB 38.6 MB/s 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               | 8.1 MB 38.6 MB/s 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               | 8.1 MB 38.6 MB/s 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               | 8.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b               | 8.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b               | 8.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b               | 8.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b               | 8.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b               | 8.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a               | 8.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a               | 8.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a               | 8.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a               | 8.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a               | 8.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589               | 8.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589               | 8.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589               | 8.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589               | 8.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589               | 8.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589               | 8.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588               | 8.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588               | 8.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588               | 8.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588               | 8.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588               | 8.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588               | 8.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588               | 8.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588               | 8.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588               | 8.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588               | 8.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f              | 8.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f              | 8.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f              | 8.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f              | 8.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f              | 8.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f              | 8.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e              | 8.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e              | 8.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e              | 8.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e              | 8.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e              | 8.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d              | 8.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d              | 8.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d              | 8.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d              | 8.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d              | 8.6 MB 38.6 MB/s eta 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              | 8.6 MB 38.6 MB/s eta 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              | 8.6 MB 38.6 MB/s eta 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              | 8.6 MB 38.6 MB/s eta 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              | 8.6 MB 38.6 MB/s eta 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              | 8.6 MB 38.6 MB/s eta 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              | 8.6 MB 38.6 MB/s eta 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              | 8.6 MB 38.6 MB/s eta 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              | 8.6 MB 38.6 MB/s eta 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              | 8.6 MB 38.6 MB/s eta 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              | 8.7 MB 38.6 MB/s eta 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              | 8.7 MB 38.6 MB/s eta 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              | 8.7 MB 38.6 MB/s eta 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              | 8.7 MB 38.6 MB/s eta 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              | 8.7 MB 38.6 MB/s eta 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              | 8.7 MB 38.6 MB/s eta 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              | 8.7 MB 38.6 MB/s eta 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              | 8.7 MB 38.6 MB/s eta 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              | 8.7 MB 38.6 MB/s eta 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              | 8.7 MB 38.6 MB/s eta 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              | 8.8 MB 38.6 MB/s eta 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              | 8.8 MB 38.6 MB/s eta 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              | 8.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588              | 8.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588              | 8.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588              | 8.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588              | 8.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588              | 8.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588              | 8.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588              | 8.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588              | 8.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588              | 8.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588              | 8.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f             | 8.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f             | 8.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f             | 8.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f             | 8.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f             | 8.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f             | 8.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e             | 8.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e             | 9.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e             | 9.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e             | 9.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e             | 9.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d             | 9.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d             | 9.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d             | 9.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d             | 9.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d             | 9.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c             | 9.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c             | 9.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c             | 9.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c             | 9.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c             | 9.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c             | 9.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b             | 9.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b             | 9.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b             | 9.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b             | 9.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b             | 9.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a             | 9.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a             | 9.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a             | 9.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a             | 9.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a             | 9.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589             | 9.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589             | 9.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589             | 9.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589             | 9.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589             | 9.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589             | 9.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588             | 9.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588             | 9.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588             | 9.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588             | 9.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588             | 9.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588             | 9.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588             | 9.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588             | 9.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588             | 9.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588             | 9.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f            | 9.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f            | 9.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f            | 9.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f            | 9.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f            | 9.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f            | 9.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e            | 9.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e            | 9.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e            | 9.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e            | 9.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e            | 9.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d            | 9.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d            | 9.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d            | 9.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d            | 9.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d            | 9.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c            | 9.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c            | 9.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c            | 9.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c            | 9.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c            | 9.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c            | 9.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b            | 9.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b            | 9.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b            | 9.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b            | 9.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b            | 9.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a            | 9.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a            | 9.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a            | 9.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a            | 9.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a            | 9.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589            | 9.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589            | 9.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589            | 9.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589            | 9.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589            | 9.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589            | 9.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588            | 9.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588            | 9.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588            | 9.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588            | 9.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588            | 9.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588            | 9.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588            | 9.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588            | 9.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588            | 9.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588            | 9.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f           | 9.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f           | 9.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f           | 9.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f           | 9.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f           | 9.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f           | 9.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e           | 9.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e           | 9.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e           | 10.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e           | 10.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e           | 10.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d           | 10.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d           | 10.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d           | 10.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d           | 10.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d           | 10.0 MB 38.6 MB/s eta 0:00:01\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           | 10.0 MB 38.6 MB/s eta 0:00:01\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           | 10.0 MB 38.6 MB/s eta 0:00:01\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           | 10.1 MB 38.6 MB/s eta 0:00:01\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           | 10.1 MB 38.6 MB/s eta 0:00:01\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           | 10.1 MB 38.6 MB/s eta 0:00:01\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           | 10.1 MB 38.6 MB/s eta 0:00:01\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           | 10.1 MB 38.6 MB/s eta 0:00:01\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           | 10.1 MB 38.6 MB/s eta 0:00:01\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           | 10.1 MB 38.6 MB/s eta 0:00:01\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           | 10.1 MB 38.6 MB/s eta 0:00:01\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           | 10.1 MB 38.6 MB/s eta 0:00:01\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           | 10.1 MB 38.6 MB/s eta 0:00:01\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           | 10.2 MB 38.6 MB/s eta 0:00:01\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           | 10.2 MB 38.6 MB/s eta 0:00:01\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           | 10.2 MB 38.6 MB/s eta 0:00:01\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           | 10.2 MB 38.6 MB/s eta 0:00:01\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           | 10.2 MB 38.6 MB/s eta 0:00:01\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           | 10.2 MB 38.6 MB/s eta 0:00:01\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           | 10.2 MB 38.6 MB/s eta 0:00:01\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           | 10.2 MB 38.6 MB/s eta 0:00:01\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           | 10.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588           | 10.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588           | 10.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588           | 10.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588           | 10.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588           | 10.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588           | 10.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588           | 10.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588           | 10.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588           | 10.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588           | 10.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588           | 10.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f          | 10.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f          | 10.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f          | 10.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f          | 10.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f          | 10.4 MB 38.6 MB/s eta 0:00:01\r\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          | 10.4 MB 38.6 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\u258e          | 10.4 MB 38.6 MB/s eta 0:00:01\r\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          | 10.4 MB 38.6 MB/s eta 0:00:01\r\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          | 10.4 MB 38.6 MB/s eta 0:00:01\r\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          | 10.5 MB 38.6 MB/s eta 0:00:01\r\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          | 10.5 MB 38.6 MB/s eta 0:00:01\r\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          | 10.5 MB 38.6 MB/s eta 0:00:01\r\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          | 10.5 MB 38.6 MB/s eta 0:00:01\r\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          | 10.5 MB 38.6 MB/s eta 0:00:01\r\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          | 10.5 MB 38.6 MB/s eta 0:00:01\r\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          | 10.5 MB 38.6 MB/s eta 0:00:01\r\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          | 10.5 MB 38.6 MB/s eta 0:00:01\r\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          | 10.5 MB 38.6 MB/s eta 0:00:01\r\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          | 10.5 MB 38.6 MB/s eta 0:00:01\r\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          | 10.6 MB 38.6 MB/s eta 0:00:01\r\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          | 10.6 MB 38.6 MB/s eta 0:00:01\r\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          | 10.6 MB 38.6 MB/s eta 0:00:01\r\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          | 10.6 MB 38.6 MB/s eta 0:00:01\r\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          | 10.6 MB 38.6 MB/s eta 0:00:01\r\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          | 10.6 MB 38.6 MB/s eta 0:00:01\r\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          | 10.6 MB 38.6 MB/s eta 0:00:01\r\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          | 10.6 MB 38.6 MB/s eta 0:00:01\r\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          | 10.6 MB 38.6 MB/s eta 0:00:01\r\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          | 10.6 MB 38.6 MB/s eta 0:00:01\r\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          | 10.7 MB 38.6 MB/s eta 0:00:01\r\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          | 10.7 MB 38.6 MB/s eta 0:00:01\r\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          | 10.7 MB 38.6 MB/s eta 0:00:01\r\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          | 10.7 MB 38.6 MB/s eta 0:00:01\r\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          | 10.7 MB 38.6 MB/s eta 0:00:01\r\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          | 10.7 MB 38.6 MB/s eta 0:00:01\r\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          | 10.7 MB 38.6 MB/s eta 0:00:01\r\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          | 10.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588          | 10.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588          | 10.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588          | 10.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588          | 10.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588          | 10.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588          | 10.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588          | 10.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588          | 10.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588          | 10.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588          | 10.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588          | 10.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 10.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 10.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 10.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 10.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 10.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 10.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 10.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 10.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 10.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 10.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 11.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 11.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 11.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 11.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 11.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 11.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 11.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 11.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 11.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 11.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 11.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 11.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 11.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 11.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 11.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 11.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 11.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 11.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 11.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 11.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 11.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 11.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 11.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 11.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 11.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 11.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 11.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 11.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 11.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 11.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 11.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 11.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 11.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 11.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 11.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 11.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 11.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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         | 11.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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        | 11.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 11.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 11.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 11.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 11.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 11.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 11.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 11.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 11.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 11.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 11.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 11.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 12.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 12.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 12.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 12.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 12.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 12.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 12.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 12.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 12.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 12.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 12.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 12.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 12.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 12.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 12.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 12.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 12.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 12.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 12.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 12.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 12.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 12.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 12.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 12.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 12.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 12.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 12.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 12.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 12.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 12.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 12.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 12.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 12.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 12.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 12.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 12.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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       | 12.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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      | 12.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 12.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 12.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 12.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 12.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 12.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 12.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 12.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 12.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 12.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 12.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 12.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 12.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 12.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 13.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 13.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 13.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 13.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 13.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 13.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 13.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 13.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 13.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 13.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 13.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 13.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 13.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 13.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 13.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 13.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 13.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 13.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 13.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 13.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 13.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 13.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 13.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 13.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 13.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 13.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 13.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 13.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 13.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 13.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 13.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 13.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 13.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 13.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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     | 13.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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    | 13.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 13.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 13.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 13.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 13.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 13.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 13.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 13.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 13.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 13.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 13.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 13.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 13.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 13.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 13.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 13.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 14.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 14.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 14.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 14.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 14.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 14.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 14.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 14.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 14.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 14.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 14.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 14.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 14.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 14.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 14.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 14.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 14.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 14.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 14.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 14.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 14.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 14.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 14.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 14.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 14.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 14.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 14.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 14.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 14.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 14.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 14.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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   | 14.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.7 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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  | 14.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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 | 14.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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 | 14.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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 | 14.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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 | 14.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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 | 14.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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 | 14.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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 | 14.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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 | 14.8 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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 | 14.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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 | 14.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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 | 14.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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 | 14.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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 | 14.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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 | 14.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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 | 14.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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 | 14.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u258c | 14.9 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u258c | 15.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u258c | 15.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u258c | 15.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u258c | 15.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u258c | 15.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u258b | 15.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u258b | 15.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u258b | 15.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u258b | 15.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u258b | 15.0 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u258a | 15.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u258a | 15.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u258a | 15.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u258a | 15.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u258a | 15.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2589 | 15.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2589 | 15.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2589 | 15.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2589 | 15.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2589 | 15.1 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2589 | 15.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588 | 15.2 MB 38.6 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\u2588\u2588\u2588\u2588 | 15.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588 | 15.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588 | 15.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588 | 15.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588 | 15.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588 | 15.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588 | 15.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588 | 15.2 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588 | 15.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258f| 15.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258f| 15.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258f| 15.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258f| 15.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258f| 15.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258f| 15.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258e| 15.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258e| 15.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258e| 15.3 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258e| 15.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258e| 15.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258d| 15.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258d| 15.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258d| 15.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258d| 15.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258d| 15.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258c| 15.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258c| 15.4 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258c| 15.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258c| 15.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258c| 15.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258c| 15.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258b| 15.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258b| 15.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258b| 15.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258b| 15.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258b| 15.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258a| 15.5 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258a| 15.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258a| 15.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258a| 15.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258a| 15.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588\u2589| 15.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588\u2589| 15.6 MB 38.6 MB/s eta 0:00:01\r\n",
      "\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\u2588\u2589| 15.6 MB 38.6 MB/s eta 0:00:01\r\n",
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      "\r\n",
      "\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\u2588\u2588| 15.7 MB 38.6 MB/s \r\n",
      "\u001b[?25h"
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      "Collecting attrs==20.3.0\r\n",
      "  Downloading attrs-20.3.0-py2.py3-none-any.whl (49 kB)\r\n",
      "\u001b[?25l\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258b                         | 10 kB 38.9 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                  | 20 kB 47.5 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588            | 30 kB 55.6 MB/s eta 0:00:01\r\n",
      "\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     | 40 kB 58.7 MB/s eta 0:00:01\r\n",
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      "\u001b[?25h"
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      "Collecting boto3>=1.20.21\r\n",
      "  Downloading boto3-1.21.42-py3-none-any.whl (132 kB)\r\n",
      "\u001b[?25l\r\n",
      "\u001b[K     |\u2588\u2588\u258c                             | 10 kB 40.2 MB/s eta 0:00:01\r\n",
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      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                        | 30 kB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                      | 40 kB 60.6 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                   | 51 kB 65.7 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                 | 61 kB 69.8 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e              | 71 kB 73.2 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\u2589            | 81 kB 73.7 MB/s eta 0:00:01\r\n",
      "\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         | 92 kB 76.8 MB/s eta 0:00:01\r\n",
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      "\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  | 122 kB 77.8 MB/s eta 0:00:01\r\n",
      "\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\u2588\u2588| 132 kB 77.8 MB/s \r\n",
      "\u001b[?25hRequirement already satisfied: google-pasta in /opt/conda/lib/python3.7/site-packages (from sagemaker) (0.2.0)\r\n"
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      "Requirement already satisfied: protobuf>=3.1 in /opt/conda/lib/python3.7/site-packages (from sagemaker) (3.17.3)\r\n",
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     ]
    },
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      "Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /opt/conda/lib/python3.7/site-packages (from boto3>=1.20.21->sagemaker) (0.10.0)\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting botocore<1.25.0,>=1.24.42\r\n",
      "  Downloading botocore-1.24.42-py3-none-any.whl (8.7 MB)\r\n",
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      "\r\n",
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      "\u001b[K     |\u2588\u2588\u2588\u258f                            | 849 kB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u258f                            | 860 kB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u258f                            | 870 kB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u258e                            | 880 kB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u258e                            | 890 kB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u258e                            | 901 kB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u258d                            | 911 kB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u258d                            | 921 kB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u258d                            | 931 kB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u258c                            | 942 kB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u258c                            | 952 kB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u258c                            | 962 kB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u258b                            | 972 kB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u258b                            | 983 kB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u258a                            | 993 kB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u258a                            | 1.0 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u258a                            | 1.0 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2589                            | 1.0 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2589                            | 1.0 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2589                            | 1.0 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588                            | 1.1 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588                            | 1.1 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588                            | 1.1 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588                            | 1.1 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588                            | 1.1 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588                            | 1.1 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u258f                           | 1.1 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u258f                           | 1.1 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u258f                           | 1.1 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u258e                           | 1.1 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u258e                           | 1.2 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u258e                           | 1.2 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u258d                           | 1.2 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u258d                           | 1.2 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u258d                           | 1.2 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u258c                           | 1.2 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u258c                           | 1.2 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u258c                           | 1.2 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u258b                           | 1.2 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u258b                           | 1.2 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u258b                           | 1.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u258a                           | 1.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u258a                           | 1.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u258a                           | 1.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2589                           | 1.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2589                           | 1.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2589                           | 1.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588                           | 1.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588                           | 1.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588                           | 1.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588                           | 1.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588                           | 1.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588                           | 1.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258f                          | 1.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258f                          | 1.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258f                          | 1.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258e                          | 1.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258e                          | 1.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258e                          | 1.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258d                          | 1.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258d                          | 1.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258c                          | 1.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258c                          | 1.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258c                          | 1.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258b                          | 1.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258b                          | 1.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258b                          | 1.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258a                          | 1.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258a                          | 1.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u258a                          | 1.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2589                          | 1.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2589                          | 1.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2589                          | 1.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588                          | 1.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588                          | 1.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588                          | 1.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588                          | 1.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588                          | 1.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588                          | 1.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258f                         | 1.7 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258f                         | 1.7 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258f                         | 1.7 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258e                         | 1.7 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258e                         | 1.7 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258e                         | 1.7 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258d                         | 1.7 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258d                         | 1.7 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258d                         | 1.7 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258c                         | 1.8 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258c                         | 1.8 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258c                         | 1.8 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258b                         | 1.8 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258b                         | 1.8 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258b                         | 1.8 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258a                         | 1.8 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258a                         | 1.8 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u258a                         | 1.8 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2589                         | 1.8 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2589                         | 1.9 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2589                         | 1.9 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588                         | 1.9 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588                         | 1.9 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588                         | 1.9 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588                         | 1.9 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588                         | 1.9 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588                         | 1.9 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                        | 1.9 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                        | 1.9 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                        | 2.0 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                        | 2.0 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                        | 2.0 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                        | 2.0 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                        | 2.0 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                        | 2.0 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                        | 2.0 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                        | 2.0 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                        | 2.0 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                        | 2.0 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                        | 2.1 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                        | 2.1 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                        | 2.1 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                        | 2.1 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                        | 2.1 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                        | 2.1 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                        | 2.1 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                        | 2.1 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                        | 2.1 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                        | 2.2 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                        | 2.2 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                        | 2.2 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                        | 2.2 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                        | 2.2 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                       | 2.2 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                       | 2.2 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                       | 2.2 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                       | 2.2 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                       | 2.2 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                       | 2.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                       | 2.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                       | 2.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                       | 2.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                       | 2.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                       | 2.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                       | 2.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                       | 2.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                       | 2.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                       | 2.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                       | 2.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                       | 2.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                       | 2.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                       | 2.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                       | 2.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                       | 2.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                       | 2.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                       | 2.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                       | 2.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                       | 2.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                       | 2.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                      | 2.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                      | 2.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                      | 2.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                      | 2.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                      | 2.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                      | 2.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                      | 2.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                      | 2.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                      | 2.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                      | 2.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                      | 2.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                      | 2.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                      | 2.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                      | 2.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                      | 2.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                      | 2.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                      | 2.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                      | 2.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                      | 2.7 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                      | 2.7 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                      | 2.7 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                      | 2.7 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                      | 2.7 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                      | 2.7 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                      | 2.7 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                      | 2.7 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                      | 2.7 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                     | 2.7 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                     | 2.8 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                     | 2.8 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                     | 2.8 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                     | 2.8 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                     | 2.8 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                     | 2.8 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                     | 2.8 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                     | 2.8 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                     | 2.8 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                     | 2.8 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                     | 2.9 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                     | 2.9 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                     | 2.9 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                     | 2.9 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                     | 2.9 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                     | 2.9 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                     | 2.9 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                     | 2.9 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                     | 2.9 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                     | 2.9 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                     | 3.0 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                     | 3.0 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                     | 3.0 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                     | 3.0 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                     | 3.0 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                    | 3.0 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                    | 3.0 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                    | 3.0 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                    | 3.0 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                    | 3.1 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                    | 3.1 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                    | 3.1 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                    | 3.1 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                    | 3.1 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                    | 3.1 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                    | 3.1 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                    | 3.1 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                    | 3.1 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                    | 3.1 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                    | 3.2 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                    | 3.2 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                    | 3.2 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                    | 3.2 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                    | 3.2 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                    | 3.2 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                    | 3.2 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                    | 3.2 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                    | 3.2 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                    | 3.2 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                    | 3.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                    | 3.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                    | 3.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                   | 3.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                   | 3.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                   | 3.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                   | 3.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                   | 3.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e                   | 3.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                   | 3.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                   | 3.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d                   | 3.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                   | 3.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                   | 3.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c                   | 3.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                   | 3.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                   | 3.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b                   | 3.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a                   | 3.4 MB 56.4 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\u258a                   | 3.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                   | 3.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                   | 3.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589                   | 3.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                   | 3.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                   | 3.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                   | 3.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                   | 3.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                   | 3.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                   | 3.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                  | 3.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                  | 3.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f                  | 3.6 MB 56.4 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 56.4 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 56.4 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 56.4 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 56.4 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 56.4 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 56.4 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 56.4 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 56.4 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 56.4 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 56.4 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 56.4 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 56.4 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 56.4 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 56.4 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 56.4 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 56.4 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 56.4 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 56.4 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 56.4 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 56.4 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 56.4 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 56.4 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 56.4 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 56.4 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 56.4 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 56.4 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 56.4 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 56.4 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 56.4 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 56.4 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 56.4 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 56.4 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 56.4 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 56.4 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 56.4 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 56.4 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 56.4 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 56.4 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 56.4 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 56.4 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 56.4 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 56.4 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 56.4 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 56.4 MB/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 56.4 MB/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 56.4 MB/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 56.4 MB/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 56.4 MB/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 56.4 MB/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 56.4 MB/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 56.4 MB/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 56.4 MB/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 56.4 MB/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 56.4 MB/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 56.4 MB/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 56.4 MB/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 56.4 MB/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 56.4 MB/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 56.4 MB/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 56.4 MB/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 56.4 MB/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 56.4 MB/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 56.4 MB/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 56.4 MB/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 56.4 MB/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 56.4 MB/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 56.4 MB/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 56.4 MB/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 56.4 MB/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 56.4 MB/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 56.4 MB/s 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 56.4 MB/s 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 56.4 MB/s 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 56.4 MB/s 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 56.4 MB/s 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 56.4 MB/s 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 56.4 MB/s 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 56.4 MB/s 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 56.4 MB/s 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 56.4 MB/s 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 56.4 MB/s 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 56.4 MB/s 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 56.4 MB/s 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 56.4 MB/s 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 56.4 MB/s 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 56.4 MB/s 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 56.4 MB/s 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 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b               | 4.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b               | 4.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b               | 4.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a               | 4.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a               | 4.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a               | 4.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589               | 4.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589               | 4.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589               | 4.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588               | 4.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588               | 4.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588               | 4.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588               | 4.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588               | 4.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588               | 4.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f              | 4.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f              | 4.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f              | 4.7 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e              | 4.7 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e              | 4.7 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e              | 4.7 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d              | 4.7 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d              | 4.7 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d              | 4.7 MB 56.4 MB/s eta 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              | 4.7 MB 56.4 MB/s eta 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              | 4.7 MB 56.4 MB/s eta 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              | 4.8 MB 56.4 MB/s eta 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              | 4.8 MB 56.4 MB/s eta 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              | 4.8 MB 56.4 MB/s eta 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              | 4.8 MB 56.4 MB/s eta 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 56.4 MB/s eta 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 56.4 MB/s eta 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 56.4 MB/s eta 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 56.4 MB/s eta 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 56.4 MB/s eta 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 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588              | 4.9 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588              | 4.9 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588              | 4.9 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588              | 4.9 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588              | 4.9 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588              | 4.9 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f             | 4.9 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f             | 4.9 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e             | 4.9 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e             | 4.9 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e             | 5.0 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d             | 5.0 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d             | 5.0 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d             | 5.0 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c             | 5.0 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c             | 5.0 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c             | 5.0 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b             | 5.0 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b             | 5.0 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b             | 5.0 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a             | 5.1 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a             | 5.1 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a             | 5.1 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589             | 5.1 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589             | 5.1 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589             | 5.1 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588             | 5.1 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588             | 5.1 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588             | 5.1 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588             | 5.2 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588             | 5.2 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588             | 5.2 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f            | 5.2 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f            | 5.2 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f            | 5.2 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e            | 5.2 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e            | 5.2 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e            | 5.2 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d            | 5.2 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d            | 5.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d            | 5.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c            | 5.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c            | 5.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c            | 5.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b            | 5.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b            | 5.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b            | 5.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a            | 5.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a            | 5.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a            | 5.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589            | 5.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589            | 5.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589            | 5.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588            | 5.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588            | 5.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588            | 5.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588            | 5.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588            | 5.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f           | 5.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f           | 5.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f           | 5.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e           | 5.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e           | 5.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e           | 5.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d           | 5.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d           | 5.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d           | 5.5 MB 56.4 MB/s eta 0:00:01\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           | 5.5 MB 56.4 MB/s eta 0:00:01\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           | 5.6 MB 56.4 MB/s eta 0:00:01\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           | 5.6 MB 56.4 MB/s eta 0:00:01\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           | 5.6 MB 56.4 MB/s eta 0:00:01\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           | 5.6 MB 56.4 MB/s eta 0:00:01\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           | 5.6 MB 56.4 MB/s eta 0:00:01\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           | 5.6 MB 56.4 MB/s eta 0:00:01\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           | 5.6 MB 56.4 MB/s eta 0:00:01\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           | 5.6 MB 56.4 MB/s eta 0:00:01\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           | 5.6 MB 56.4 MB/s eta 0:00:01\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           | 5.6 MB 56.4 MB/s eta 0:00:01\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           | 5.7 MB 56.4 MB/s eta 0:00:01\r\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 56.4 MB/s eta 0:00:01\r\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 56.4 MB/s eta 0:00:01\r\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 56.4 MB/s eta 0:00:01\r\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 56.4 MB/s eta 0:00:01\r\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 56.4 MB/s eta 0:00:01\r\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 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f          | 5.7 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f          | 5.7 MB 56.4 MB/s eta 0:00:01\r\n",
      "\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f          | 5.7 MB 56.4 MB/s eta 0:00:01\r\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 56.4 MB/s eta 0:00:01\r\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 56.4 MB/s eta 0:00:01\r\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 56.4 MB/s eta 0:00:01\r\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 56.4 MB/s eta 0:00:01\r\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 56.4 MB/s eta 0:00:01\r\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 56.4 MB/s eta 0:00:01\r\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 56.4 MB/s eta 0:00:01\r\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 56.4 MB/s eta 0:00:01\r\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 56.4 MB/s eta 0:00:01\r\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 56.4 MB/s eta 0:00:01\r\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 56.4 MB/s eta 0:00:01\r\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 56.4 MB/s eta 0:00:01\r\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 56.4 MB/s eta 0:00:01\r\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 56.4 MB/s eta 0:00:01\r\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 56.4 MB/s eta 0:00:01\r\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 56.4 MB/s eta 0:00:01\r\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 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          | 5.9 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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    | 7.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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    | 7.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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    | 7.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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    | 7.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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    | 7.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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    | 7.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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    | 7.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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    | 7.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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    | 7.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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    | 7.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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    | 7.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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    | 7.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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   | 7.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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   | 7.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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   | 7.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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   | 7.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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   | 7.7 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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   | 7.7 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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 56.4 MB/s eta 0:00:01\r\n",
      "\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\u258c | 8.3 MB 56.4 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\u2588\u2588\u2588\u258c | 8.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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\u258c | 8.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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\u258b | 8.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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\u258b | 8.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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\u258b | 8.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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\u258a | 8.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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\u258a | 8.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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\u258a | 8.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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\u2589 | 8.3 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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\u2589 | 8.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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\u2588 | 8.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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\u2588 | 8.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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\u2588 | 8.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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\u2588 | 8.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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\u2588 | 8.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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\u2588 | 8.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258f| 8.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258f| 8.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258f| 8.4 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258e| 8.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258e| 8.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258e| 8.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258d| 8.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258d| 8.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258d| 8.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258c| 8.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258c| 8.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258c| 8.5 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258b| 8.6 MB 56.4 MB/s eta 0:00:01\r\n",
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      "\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\u2588\u258b| 8.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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\u2588\u258a| 8.6 MB 56.4 MB/s eta 0:00:01\r\n",
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      "\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\u2588\u258a| 8.6 MB 56.4 MB/s eta 0:00:01\r\n",
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      "\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\u2588\u2589| 8.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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\u2588\u2589| 8.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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\u2588\u2588| 8.6 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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\u2588\u2588| 8.7 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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\u2588\u2588| 8.7 MB 56.4 MB/s eta 0:00:01\r\n",
      "\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\u2588\u2588| 8.7 MB 56.4 MB/s \r\n",
      "\u001b[?25h"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: s3transfer<0.6.0,>=0.5.0 in /opt/conda/lib/python3.7/site-packages (from boto3>=1.20.21->sagemaker) (0.5.0)\r\n",
      "Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /opt/conda/lib/python3.7/site-packages (from botocore<1.25.0,>=1.24.42->boto3>=1.20.21->sagemaker) (2.8.1)\r\n",
      "Requirement already satisfied: urllib3<1.27,>=1.25.4 in /opt/conda/lib/python3.7/site-packages (from botocore<1.25.0,>=1.24.42->boto3>=1.20.21->sagemaker) (1.26.6)\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: zipp>=0.5 in /opt/conda/lib/python3.7/site-packages (from importlib-metadata>=1.4.0->sagemaker) (2.2.0)\r\n",
      "Requirement already satisfied: pyparsing>=2.0.2 in /opt/conda/lib/python3.7/site-packages (from packaging>=20.0->sagemaker) (2.4.6)\r\n",
      "Requirement already satisfied: six in /opt/conda/lib/python3.7/site-packages (from packaging>=20.0->sagemaker) (1.14.0)\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: pytz>=2017.3 in /opt/conda/lib/python3.7/site-packages (from pandas) (2019.3)\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: pox>=0.3.0 in /opt/conda/lib/python3.7/site-packages (from pathos->sagemaker) (0.3.0)\r\n",
      "Requirement already satisfied: ppft>=1.6.6.4 in /opt/conda/lib/python3.7/site-packages (from pathos->sagemaker) (1.6.6.4)\r\n",
      "Requirement already satisfied: multiprocess>=0.70.12 in /opt/conda/lib/python3.7/site-packages (from pathos->sagemaker) (0.70.12.2)\r\n",
      "Requirement already satisfied: dill>=0.3.4 in /opt/conda/lib/python3.7/site-packages (from pathos->sagemaker) (0.3.4)\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Building wheels for collected packages: sagemaker\r\n",
      "  Building wheel for sagemaker (setup.py) ... \u001b[?25l"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-"
     ]
    },
    {
     "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=720870 sha256=aedabaf739c26053a9945284f424e7a056b77dbadceb6e7e89a6b8e79e1d3641\r\n",
      "  Stored in directory: /root/.cache/pip/wheels/ea/94/35/1b815c5bdf63f8947160a8e6a4eb12f4bb05bd6f9cc773176a\r\n",
      "Successfully built sagemaker\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Installing collected packages: botocore, numpy, pandas, boto3, attrs, sagemaker\r\n",
      "  Attempting uninstall: botocore\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    Found existing installation: botocore 1.23.7\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    Uninstalling botocore-1.23.7:\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      Successfully uninstalled botocore-1.23.7\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Attempting uninstall: numpy\r\n",
      "    Found existing installation: numpy 1.21.1\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    Uninstalling numpy-1.21.1:\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      Successfully uninstalled numpy-1.21.1\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Attempting uninstall: pandas\r\n",
      "    Found existing installation: pandas 1.0.1\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    Uninstalling pandas-1.0.1:\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      Successfully uninstalled pandas-1.0.1\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: attrs\r\n",
      "    Found existing installation: attrs 19.3.0\r\n",
      "    Uninstalling attrs-19.3.0:\r\n",
      "      Successfully uninstalled attrs-19.3.0\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"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      Successfully uninstalled sagemaker-2.69.1.dev0\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\r\n",
      "pytest-astropy 0.8.0 requires pytest-cov>=2.0, which is not installed.\r\n",
      "pytest-astropy 0.8.0 requires pytest-filter-subpackage>=0.1, which is not installed.\r\n",
      "awscli 1.22.7 requires botocore==1.23.7, but you have botocore 1.24.42 which is incompatible.\r\n",
      "aiobotocore 1.3.3 requires botocore<1.20.107,>=1.20.106, but you have botocore 1.24.42 which is incompatible.\u001b[0m\r\n",
      "Successfully installed attrs-20.3.0 boto3-1.21.42 botocore-1.24.42 numpy-1.21.6 pandas-1.3.5 sagemaker-2.86.2\r\n",
      "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\r\n",
      "\u001b[33mWARNING: You are using pip version 21.1.3; however, version 22.0.4 is available.\r\n",
      "You should consider upgrading via the '/opt/conda/bin/python3 -m pip install --upgrade pip' command.\u001b[0m\r\n"
     ]
    }
   ],
   "source": [
    "import sys\n",
    "\n",
    "!{sys.executable} -m pip install sagemaker pandas numpy --upgrade"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e4c1b3c0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-04-18T00:25:20.811979Z",
     "iopub.status.busy": "2022-04-18T00:25:20.810492Z",
     "iopub.status.idle": "2022-04-18T00:25:23.602926Z",
     "shell.execute_reply": "2022-04-18T00:25:23.601981Z"
    },
    "isConfigCell": true,
    "papermill": {
     "duration": 2.914795,
     "end_time": "2022-04-18T00:25:23.603047",
     "exception": false,
     "start_time": "2022-04-18T00:25:20.688252",
     "status": "completed"
    },
    "tags": [
     "parameters"
    ]
   },
   "outputs": [],
   "source": [
    "import sagemaker\n",
    "\n",
    "sess = sagemaker.Session()\n",
    "bucket = sess.default_bucket()\n",
    "prefix = \"sagemaker/DEMO-xgboost-churn\"\n",
    "\n",
    "# Define IAM role\n",
    "import boto3\n",
    "import re\n",
    "from sagemaker import get_execution_role\n",
    "\n",
    "role = get_execution_role()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "850a5b18",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-04-18T00:25:23.692504Z",
     "iopub.status.busy": "2022-04-18T00:25:23.690094Z",
     "iopub.status.idle": "2022-04-18T00:25:23.695152Z",
     "shell.execute_reply": "2022-04-18T00:25:23.694556Z"
    },
    "papermill": {
     "duration": 0.05133,
     "end_time": "2022-04-18T00:25:23.695272",
     "exception": false,
     "start_time": "2022-04-18T00:25:23.643942",
     "status": "completed"
    },
    "tags": [
     "injected-parameters"
    ]
   },
   "outputs": [],
   "source": [
    "# Parameters\n",
    "kms_key = \"arn:aws:kms:us-west-2:000000000000:1234abcd-12ab-34cd-56ef-1234567890ab\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e02e6dbb",
   "metadata": {
    "papermill": {
     "duration": 0.066535,
     "end_time": "2022-04-18T00:25:23.802854",
     "exception": false,
     "start_time": "2022-04-18T00:25:23.736319",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Next, we'll import the Python libraries we'll need for the remainder of the example."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "08714702",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-04-18T00:25:24.089066Z",
     "iopub.status.busy": "2022-04-18T00:25:24.088294Z",
     "iopub.status.idle": "2022-04-18T00:25:26.190482Z",
     "shell.execute_reply": "2022-04-18T00:25:26.189836Z"
    },
    "papermill": {
     "duration": 2.283392,
     "end_time": "2022-04-18T00:25:26.190629",
     "exception": false,
     "start_time": "2022-04-18T00:25:23.907237",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import io\n",
    "import os\n",
    "import sys\n",
    "import time\n",
    "import json\n",
    "from IPython.display import display\n",
    "from time import strftime, gmtime\n",
    "from sagemaker.inputs import TrainingInput\n",
    "from sagemaker.serializers import CSVSerializer"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c810d34",
   "metadata": {
    "papermill": {
     "duration": 0.103607,
     "end_time": "2022-04-18T00:25:26.398358",
     "exception": false,
     "start_time": "2022-04-18T00:25:26.294751",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "---\n",
    "## Data\n",
    "\n",
    "Mobile operators have historical records on which customers ultimately ended up churning and which continued using the service. We can use this historical information to construct an ML model of one mobile operator\u2019s churn using a process called training. After training the model, we can pass the profile information of an arbitrary customer (the same profile information that we used to train the model) to the model, and have the model predict whether this customer is going to churn. Of course, we expect the model to make mistakes. After all, predicting the future is tricky business! But we'll learn how to deal with prediction errors.\n",
    "\n",
    "The dataset we use is publicly available and was mentioned in the book [Discovering Knowledge in Data](https://www.amazon.com/dp/0470908742/) by Daniel T. Larose. It is attributed by the author to the University of California Irvine Repository of Machine Learning Datasets.  Let's download and read that dataset in now:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "2f01c890",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-04-18T00:25:26.693359Z",
     "iopub.status.busy": "2022-04-18T00:25:26.692169Z",
     "iopub.status.idle": "2022-04-18T00:25:27.547256Z",
     "shell.execute_reply": "2022-04-18T00:25:27.546839Z"
    },
    "papermill": {
     "duration": 1.033754,
     "end_time": "2022-04-18T00:25:27.547373",
     "exception": false,
     "start_time": "2022-04-18T00:25:26.513619",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "s3 = boto3.client(\"s3\")\n",
    "s3.download_file(f\"sagemaker-sample-files\", \"datasets/tabular/synthetic/churn.txt\", \"churn.txt\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b89ecb3f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-04-18T00:25:27.635925Z",
     "iopub.status.busy": "2022-04-18T00:25:27.634909Z",
     "iopub.status.idle": "2022-04-18T00:25:27.678714Z",
     "shell.execute_reply": "2022-04-18T00:25:27.679083Z"
    },
    "papermill": {
     "duration": 0.090992,
     "end_time": "2022-04-18T00:25:27.679216",
     "exception": false,
     "start_time": "2022-04-18T00:25:27.588224",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
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       "      <th>Account Length</th>\n",
       "      <th>Area Code</th>\n",
       "      <th>Phone</th>\n",
       "      <th>Int'l Plan</th>\n",
       "      <th>VMail Plan</th>\n",
       "      <th>VMail Message</th>\n",
       "      <th>Day Mins</th>\n",
       "      <th>Day Calls</th>\n",
       "      <th>Day Charge</th>\n",
       "      <th>Eve Mins</th>\n",
       "      <th>Eve Calls</th>\n",
       "      <th>Eve Charge</th>\n",
       "      <th>Night Mins</th>\n",
       "      <th>Night Calls</th>\n",
       "      <th>Night Charge</th>\n",
       "      <th>Intl Mins</th>\n",
       "      <th>Intl Calls</th>\n",
       "      <th>Intl Charge</th>\n",
       "      <th>CustServ Calls</th>\n",
       "      <th>Churn?</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>PA</td>\n",
       "      <td>163</td>\n",
       "      <td>806</td>\n",
       "      <td>403-2562</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>300</td>\n",
       "      <td>8.162204</td>\n",
       "      <td>3</td>\n",
       "      <td>7.579174</td>\n",
       "      <td>3.933035</td>\n",
       "      <td>4</td>\n",
       "      <td>6.508639</td>\n",
       "      <td>4.065759</td>\n",
       "      <td>100</td>\n",
       "      <td>5.111624</td>\n",
       "      <td>4.928160</td>\n",
       "      <td>6</td>\n",
       "      <td>5.673203</td>\n",
       "      <td>3</td>\n",
       "      <td>True.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SC</td>\n",
       "      <td>15</td>\n",
       "      <td>836</td>\n",
       "      <td>158-8416</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "      <td>10.018993</td>\n",
       "      <td>4</td>\n",
       "      <td>4.226289</td>\n",
       "      <td>2.325005</td>\n",
       "      <td>0</td>\n",
       "      <td>9.972592</td>\n",
       "      <td>7.141040</td>\n",
       "      <td>200</td>\n",
       "      <td>6.436188</td>\n",
       "      <td>3.221748</td>\n",
       "      <td>6</td>\n",
       "      <td>2.559749</td>\n",
       "      <td>8</td>\n",
       "      <td>False.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>MO</td>\n",
       "      <td>131</td>\n",
       "      <td>777</td>\n",
       "      <td>896-6253</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>300</td>\n",
       "      <td>4.708490</td>\n",
       "      <td>3</td>\n",
       "      <td>4.768160</td>\n",
       "      <td>4.537466</td>\n",
       "      <td>3</td>\n",
       "      <td>4.566715</td>\n",
       "      <td>5.363235</td>\n",
       "      <td>100</td>\n",
       "      <td>5.142451</td>\n",
       "      <td>7.139023</td>\n",
       "      <td>2</td>\n",
       "      <td>6.254157</td>\n",
       "      <td>4</td>\n",
       "      <td>False.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>WY</td>\n",
       "      <td>75</td>\n",
       "      <td>878</td>\n",
       "      <td>817-5729</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>700</td>\n",
       "      <td>1.268734</td>\n",
       "      <td>3</td>\n",
       "      <td>2.567642</td>\n",
       "      <td>2.528748</td>\n",
       "      <td>5</td>\n",
       "      <td>2.333624</td>\n",
       "      <td>3.773586</td>\n",
       "      <td>450</td>\n",
       "      <td>3.814413</td>\n",
       "      <td>2.245779</td>\n",
       "      <td>6</td>\n",
       "      <td>1.080692</td>\n",
       "      <td>6</td>\n",
       "      <td>False.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>WY</td>\n",
       "      <td>146</td>\n",
       "      <td>878</td>\n",
       "      <td>450-4942</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "      <td>2.696177</td>\n",
       "      <td>3</td>\n",
       "      <td>5.908916</td>\n",
       "      <td>6.015337</td>\n",
       "      <td>3</td>\n",
       "      <td>3.670408</td>\n",
       "      <td>3.751673</td>\n",
       "      <td>250</td>\n",
       "      <td>2.796812</td>\n",
       "      <td>6.905545</td>\n",
       "      <td>4</td>\n",
       "      <td>7.134343</td>\n",
       "      <td>6</td>\n",
       "      <td>True.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4995</th>\n",
       "      <td>NH</td>\n",
       "      <td>4</td>\n",
       "      <td>787</td>\n",
       "      <td>151-3162</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>800</td>\n",
       "      <td>10.862632</td>\n",
       "      <td>5</td>\n",
       "      <td>7.250969</td>\n",
       "      <td>6.936164</td>\n",
       "      <td>1</td>\n",
       "      <td>8.026482</td>\n",
       "      <td>4.921314</td>\n",
       "      <td>350</td>\n",
       "      <td>6.748489</td>\n",
       "      <td>4.872570</td>\n",
       "      <td>8</td>\n",
       "      <td>2.122530</td>\n",
       "      <td>9</td>\n",
       "      <td>False.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4996</th>\n",
       "      <td>SD</td>\n",
       "      <td>140</td>\n",
       "      <td>836</td>\n",
       "      <td>351-5993</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "      <td>1.581127</td>\n",
       "      <td>8</td>\n",
       "      <td>3.758307</td>\n",
       "      <td>7.377591</td>\n",
       "      <td>7</td>\n",
       "      <td>1.328827</td>\n",
       "      <td>0.939932</td>\n",
       "      <td>300</td>\n",
       "      <td>4.522661</td>\n",
       "      <td>6.938571</td>\n",
       "      <td>2</td>\n",
       "      <td>4.600473</td>\n",
       "      <td>4</td>\n",
       "      <td>False.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4997</th>\n",
       "      <td>SC</td>\n",
       "      <td>32</td>\n",
       "      <td>836</td>\n",
       "      <td>370-3127</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>700</td>\n",
       "      <td>0.163836</td>\n",
       "      <td>5</td>\n",
       "      <td>4.243980</td>\n",
       "      <td>5.841852</td>\n",
       "      <td>3</td>\n",
       "      <td>2.340554</td>\n",
       "      <td>0.939469</td>\n",
       "      <td>450</td>\n",
       "      <td>5.157898</td>\n",
       "      <td>4.388328</td>\n",
       "      <td>7</td>\n",
       "      <td>1.060340</td>\n",
       "      <td>6</td>\n",
       "      <td>False.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4998</th>\n",
       "      <td>MA</td>\n",
       "      <td>142</td>\n",
       "      <td>776</td>\n",
       "      <td>604-2108</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>600</td>\n",
       "      <td>2.034454</td>\n",
       "      <td>5</td>\n",
       "      <td>3.014859</td>\n",
       "      <td>4.140554</td>\n",
       "      <td>3</td>\n",
       "      <td>3.470372</td>\n",
       "      <td>6.076043</td>\n",
       "      <td>150</td>\n",
       "      <td>4.362780</td>\n",
       "      <td>7.173376</td>\n",
       "      <td>3</td>\n",
       "      <td>4.871900</td>\n",
       "      <td>7</td>\n",
       "      <td>True.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4999</th>\n",
       "      <td>AL</td>\n",
       "      <td>141</td>\n",
       "      <td>657</td>\n",
       "      <td>294-2849</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>500</td>\n",
       "      <td>1.803907</td>\n",
       "      <td>0</td>\n",
       "      <td>5.125716</td>\n",
       "      <td>8.357508</td>\n",
       "      <td>0</td>\n",
       "      <td>2.109823</td>\n",
       "      <td>2.624299</td>\n",
       "      <td>400</td>\n",
       "      <td>3.713631</td>\n",
       "      <td>5.798783</td>\n",
       "      <td>6</td>\n",
       "      <td>5.485345</td>\n",
       "      <td>7</td>\n",
       "      <td>False.</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5000 rows \u00d7 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     State  Account Length  Area Code     Phone Int'l Plan VMail Plan  \\\n",
       "0       PA             163        806  403-2562         no        yes   \n",
       "1       SC              15        836  158-8416        yes         no   \n",
       "2       MO             131        777  896-6253         no        yes   \n",
       "3       WY              75        878  817-5729        yes        yes   \n",
       "4       WY             146        878  450-4942        yes         no   \n",
       "...    ...             ...        ...       ...        ...        ...   \n",
       "4995    NH               4        787  151-3162        yes        yes   \n",
       "4996    SD             140        836  351-5993         no         no   \n",
       "4997    SC              32        836  370-3127         no        yes   \n",
       "4998    MA             142        776  604-2108        yes        yes   \n",
       "4999    AL             141        657  294-2849        yes        yes   \n",
       "\n",
       "      VMail Message   Day Mins  Day Calls  Day Charge  Eve Mins  Eve Calls  \\\n",
       "0               300   8.162204          3    7.579174  3.933035          4   \n",
       "1                 0  10.018993          4    4.226289  2.325005          0   \n",
       "2               300   4.708490          3    4.768160  4.537466          3   \n",
       "3               700   1.268734          3    2.567642  2.528748          5   \n",
       "4                 0   2.696177          3    5.908916  6.015337          3   \n",
       "...             ...        ...        ...         ...       ...        ...   \n",
       "4995            800  10.862632          5    7.250969  6.936164          1   \n",
       "4996              0   1.581127          8    3.758307  7.377591          7   \n",
       "4997            700   0.163836          5    4.243980  5.841852          3   \n",
       "4998            600   2.034454          5    3.014859  4.140554          3   \n",
       "4999            500   1.803907          0    5.125716  8.357508          0   \n",
       "\n",
       "      Eve Charge  Night Mins  Night Calls  Night Charge  Intl Mins  \\\n",
       "0       6.508639    4.065759          100      5.111624   4.928160   \n",
       "1       9.972592    7.141040          200      6.436188   3.221748   \n",
       "2       4.566715    5.363235          100      5.142451   7.139023   \n",
       "3       2.333624    3.773586          450      3.814413   2.245779   \n",
       "4       3.670408    3.751673          250      2.796812   6.905545   \n",
       "...          ...         ...          ...           ...        ...   \n",
       "4995    8.026482    4.921314          350      6.748489   4.872570   \n",
       "4996    1.328827    0.939932          300      4.522661   6.938571   \n",
       "4997    2.340554    0.939469          450      5.157898   4.388328   \n",
       "4998    3.470372    6.076043          150      4.362780   7.173376   \n",
       "4999    2.109823    2.624299          400      3.713631   5.798783   \n",
       "\n",
       "      Intl Calls  Intl Charge  CustServ Calls  Churn?  \n",
       "0              6     5.673203               3   True.  \n",
       "1              6     2.559749               8  False.  \n",
       "2              2     6.254157               4  False.  \n",
       "3              6     1.080692               6  False.  \n",
       "4              4     7.134343               6   True.  \n",
       "...          ...          ...             ...     ...  \n",
       "4995           8     2.122530               9  False.  \n",
       "4996           2     4.600473               4  False.  \n",
       "4997           7     1.060340               6  False.  \n",
       "4998           3     4.871900               7   True.  \n",
       "4999           6     5.485345               7  False.  \n",
       "\n",
       "[5000 rows x 21 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "churn = pd.read_csv(\"./churn.txt\")\n",
    "pd.set_option(\"display.max_columns\", 500)\n",
    "churn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2d3c3733",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-04-18T00:25:27.768643Z",
     "iopub.status.busy": "2022-04-18T00:25:27.767945Z",
     "iopub.status.idle": "2022-04-18T00:25:27.770875Z",
     "shell.execute_reply": "2022-04-18T00:25:27.771336Z"
    },
    "papermill": {
     "duration": 0.050252,
     "end_time": "2022-04-18T00:25:27.771472",
     "exception": false,
     "start_time": "2022-04-18T00:25:27.721220",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "21"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(churn.columns)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a1380adb",
   "metadata": {
    "papermill": {
     "duration": 0.041684,
     "end_time": "2022-04-18T00:25:27.855018",
     "exception": false,
     "start_time": "2022-04-18T00:25:27.813334",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "By modern standards, it\u2019s a relatively small dataset, with only 5,000 records, where each record uses 21 attributes to describe the profile of a customer of an unknown US mobile operator. The attributes are:\n",
    "\n",
    "- `State`: the US state in which the customer resides, indicated by a two-letter abbreviation; for example, OH or NJ\n",
    "- `Account Length`: the number of days that this account has been active\n",
    "- `Area Code`: the three-digit area code of the corresponding customer\u2019s phone number\n",
    "- `Phone`: the remaining seven-digit phone number\n",
    "- `Int\u2019l Plan`: whether the customer has an international calling plan: yes/no\n",
    "- `VMail Plan`: whether the customer has a voice mail feature: yes/no\n",
    "- `VMail Message`: the average number of voice mail messages per month\n",
    "- `Day Mins`: the total number of calling minutes used during the day\n",
    "- `Day Calls`: the total number of calls placed during the day\n",
    "- `Day Charge`: the billed cost of daytime calls\n",
    "- `Eve Mins, Eve Calls, Eve Charge`: the billed cost for calls placed during the evening\n",
    "- `Night Mins`, `Night Calls`, `Night Charge`: the billed cost for calls placed during nighttime\n",
    "- `Intl Mins`, `Intl Calls`, `Intl Charge`: the billed cost for international calls\n",
    "- `CustServ Calls`: the number of calls placed to Customer Service\n",
    "- `Churn?`: whether the customer left the service: true/false\n",
    "\n",
    "The last attribute, `Churn?`, is known as the target attribute: the attribute that we want the ML model to predict.  Because the target attribute is binary, our model will be performing binary prediction, also known as binary classification.\n",
    "\n",
    "Let's begin exploring the data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a35b9f65",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-04-18T00:25:28.089258Z",
     "iopub.status.busy": "2022-04-18T00:25:28.088118Z",
     "iopub.status.idle": "2022-04-18T00:25:35.313091Z",
     "shell.execute_reply": "2022-04-18T00:25:35.312694Z"
    },
    "papermill": {
     "duration": 7.403618,
     "end_time": "2022-04-18T00:25:35.313204",
     "exception": false,
     "start_time": "2022-04-18T00:25:27.909586",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>col_0</th>\n",
       "      <th>% observations</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>State</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AK</th>\n",
       "      <td>0.0170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AL</th>\n",
       "      <td>0.0200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AR</th>\n",
       "      <td>0.0220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AZ</th>\n",
       "      <td>0.0180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CA</th>\n",
       "      <td>0.0208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CO</th>\n",
       "      <td>0.0182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CT</th>\n",
       "      <td>0.0178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DC</th>\n",
       "      <td>0.0224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DE</th>\n",
       "      <td>0.0182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FL</th>\n",
       "      <td>0.0178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GA</th>\n",
       "      <td>0.0166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HI</th>\n",
       "      <td>0.0190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IA</th>\n",
       "      <td>0.0206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ID</th>\n",
       "      <td>0.0222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IL</th>\n",
       "      <td>0.0198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IN</th>\n",
       "      <td>0.0190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KS</th>\n",
       "      <td>0.0158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KY</th>\n",
       "      <td>0.0182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LA</th>\n",
       "      <td>0.0202</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MA</th>\n",
       "      <td>0.0208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MD</th>\n",
       "      <td>0.0226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ME</th>\n",
       "      <td>0.0148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MI</th>\n",
       "      <td>0.0202</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MN</th>\n",
       "      <td>0.0220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MO</th>\n",
       "      <td>0.0212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MS</th>\n",
       "      <td>0.0212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MT</th>\n",
       "      <td>0.0180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NC</th>\n",
       "      <td>0.0190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ND</th>\n",
       "      <td>0.0160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NE</th>\n",
       "      <td>0.0218</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NH</th>\n",
       "      <td>0.0188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NJ</th>\n",
       "      <td>0.0202</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NM</th>\n",
       "      <td>0.0166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NV</th>\n",
       "      <td>0.0198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NY</th>\n",
       "      <td>0.0196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OH</th>\n",
       "      <td>0.0222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OK</th>\n",
       "      <td>0.0186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OR</th>\n",
       "      <td>0.0204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PA</th>\n",
       "      <td>0.0198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RI</th>\n",
       "      <td>0.0240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SC</th>\n",
       "      <td>0.0226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SD</th>\n",
       "      <td>0.0204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TN</th>\n",
       "      <td>0.0194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TX</th>\n",
       "      <td>0.0196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UT</th>\n",
       "      <td>0.0190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VA</th>\n",
       "      <td>0.0198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VT</th>\n",
       "      <td>0.0194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WA</th>\n",
       "      <td>0.0202</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WI</th>\n",
       "      <td>0.0170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WV</th>\n",
       "      <td>0.0208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WY</th>\n",
       "      <td>0.0206</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "col_0  % observations\n",
       "State                \n",
       "AK             0.0170\n",
       "AL             0.0200\n",
       "AR             0.0220\n",
       "AZ             0.0180\n",
       "CA             0.0208\n",
       "CO             0.0182\n",
       "CT             0.0178\n",
       "DC             0.0224\n",
       "DE             0.0182\n",
       "FL             0.0178\n",
       "GA             0.0166\n",
       "HI             0.0190\n",
       "IA             0.0206\n",
       "ID             0.0222\n",
       "IL             0.0198\n",
       "IN             0.0190\n",
       "KS             0.0158\n",
       "KY             0.0182\n",
       "LA             0.0202\n",
       "MA             0.0208\n",
       "MD             0.0226\n",
       "ME             0.0148\n",
       "MI             0.0202\n",
       "MN             0.0220\n",
       "MO             0.0212\n",
       "MS             0.0212\n",
       "MT             0.0180\n",
       "NC             0.0190\n",
       "ND             0.0160\n",
       "NE             0.0218\n",
       "NH             0.0188\n",
       "NJ             0.0202\n",
       "NM             0.0166\n",
       "NV             0.0198\n",
       "NY             0.0196\n",
       "OH             0.0222\n",
       "OK             0.0186\n",
       "OR             0.0204\n",
       "PA             0.0198\n",
       "RI             0.0240\n",
       "SC             0.0226\n",
       "SD             0.0204\n",
       "TN             0.0194\n",
       "TX             0.0196\n",
       "UT             0.0190\n",
       "VA             0.0198\n",
       "VT             0.0194\n",
       "WA             0.0202\n",
       "WI             0.0170\n",
       "WV             0.0208\n",
       "WY             0.0206"
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       "col_0     % observations\n",
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       "col_0       % observations\n",
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       "col_0       % observations\n",
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       "col_0   % observations\n",
       "Churn?                \n",
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       "      <th></th>\n",
       "      <th>Account Length</th>\n",
       "      <th>Area Code</th>\n",
       "      <th>VMail Message</th>\n",
       "      <th>Day Mins</th>\n",
       "      <th>Day Calls</th>\n",
       "      <th>Day Charge</th>\n",
       "      <th>Eve Mins</th>\n",
       "      <th>Eve Calls</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>5000.000000</td>\n",
       "      <td>5000.000000</td>\n",
       "      <td>5000.000000</td>\n",
       "      <td>5000.000000</td>\n",
       "      <td>5000.00000</td>\n",
       "      <td>5000.000000</td>\n",
       "      <td>5000.000000</td>\n",
       "      <td>5000.000000</td>\n",
       "      <td>5000.000000</td>\n",
       "      <td>5000.000000</td>\n",
       "      <td>5000.000000</td>\n",
       "      <td>5000.000000</td>\n",
       "      <td>5000.000000</td>\n",
       "      <td>5000.000000</td>\n",
       "      <td>5000.000000</td>\n",
       "      <td>5000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>101.675800</td>\n",
       "      <td>773.791400</td>\n",
       "      <td>226.680000</td>\n",
       "      <td>5.518757</td>\n",
       "      <td>3.50460</td>\n",
       "      <td>5.018902</td>\n",
       "      <td>5.026199</td>\n",
       "      <td>3.140400</td>\n",
       "      <td>5.017557</td>\n",
       "      <td>4.000917</td>\n",
       "      <td>224.790000</td>\n",
       "      <td>5.023490</td>\n",
       "      <td>5.025876</td>\n",
       "      <td>5.475400</td>\n",
       "      <td>4.328242</td>\n",
       "      <td>5.525800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>57.596762</td>\n",
       "      <td>63.470888</td>\n",
       "      <td>273.998527</td>\n",
       "      <td>3.433485</td>\n",
       "      <td>1.68812</td>\n",
       "      <td>2.195759</td>\n",
       "      <td>2.135487</td>\n",
       "      <td>2.525621</td>\n",
       "      <td>2.127857</td>\n",
       "      <td>1.631001</td>\n",
       "      <td>97.302875</td>\n",
       "      <td>1.748900</td>\n",
       "      <td>1.019302</td>\n",
       "      <td>1.877045</td>\n",
       "      <td>2.440311</td>\n",
       "      <td>2.041217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>657.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000215</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.004777</td>\n",
       "      <td>0.004659</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013573</td>\n",
       "      <td>0.008468</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.054863</td>\n",
       "      <td>1.648514</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000769</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>52.000000</td>\n",
       "      <td>736.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.682384</td>\n",
       "      <td>2.00000</td>\n",
       "      <td>3.470151</td>\n",
       "      <td>3.588466</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.529613</td>\n",
       "      <td>2.921998</td>\n",
       "      <td>150.000000</td>\n",
       "      <td>3.873157</td>\n",
       "      <td>4.349726</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>2.468225</td>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>102.000000</td>\n",
       "      <td>778.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.336245</td>\n",
       "      <td>3.00000</td>\n",
       "      <td>4.988291</td>\n",
       "      <td>5.145656</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>5.006860</td>\n",
       "      <td>3.962089</td>\n",
       "      <td>200.000000</td>\n",
       "      <td>5.169154</td>\n",
       "      <td>5.034905</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>4.214058</td>\n",
       "      <td>6.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>151.000000</td>\n",
       "      <td>806.000000</td>\n",
       "      <td>400.000000</td>\n",
       "      <td>7.936151</td>\n",
       "      <td>5.00000</td>\n",
       "      <td>6.559750</td>\n",
       "      <td>6.552962</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>6.491725</td>\n",
       "      <td>5.100128</td>\n",
       "      <td>300.000000</td>\n",
       "      <td>6.272015</td>\n",
       "      <td>5.716386</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>5.960654</td>\n",
       "      <td>7.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>200.000000</td>\n",
       "      <td>878.000000</td>\n",
       "      <td>1300.000000</td>\n",
       "      <td>16.897529</td>\n",
       "      <td>10.00000</td>\n",
       "      <td>12.731936</td>\n",
       "      <td>13.622097</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>12.352871</td>\n",
       "      <td>10.183378</td>\n",
       "      <td>550.000000</td>\n",
       "      <td>10.407778</td>\n",
       "      <td>8.405644</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>14.212261</td>\n",
       "      <td>13.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Account Length    Area Code  VMail Message     Day Mins   Day Calls  \\\n",
       "count     5000.000000  5000.000000    5000.000000  5000.000000  5000.00000   \n",
       "mean       101.675800   773.791400     226.680000     5.518757     3.50460   \n",
       "std         57.596762    63.470888     273.998527     3.433485     1.68812   \n",
       "min          1.000000   657.000000       0.000000     0.000215     0.00000   \n",
       "25%         52.000000   736.000000       0.000000     2.682384     2.00000   \n",
       "50%        102.000000   778.000000       0.000000     5.336245     3.00000   \n",
       "75%        151.000000   806.000000     400.000000     7.936151     5.00000   \n",
       "max        200.000000   878.000000    1300.000000    16.897529    10.00000   \n",
       "\n",
       "        Day Charge     Eve Mins    Eve Calls   Eve Charge   Night Mins  \\\n",
       "count  5000.000000  5000.000000  5000.000000  5000.000000  5000.000000   \n",
       "mean      5.018902     5.026199     3.140400     5.017557     4.000917   \n",
       "std       2.195759     2.135487     2.525621     2.127857     1.631001   \n",
       "min       0.004777     0.004659     0.000000     0.013573     0.008468   \n",
       "25%       3.470151     3.588466     1.000000     3.529613     2.921998   \n",
       "50%       4.988291     5.145656     3.000000     5.006860     3.962089   \n",
       "75%       6.559750     6.552962     5.000000     6.491725     5.100128   \n",
       "max      12.731936    13.622097    14.000000    12.352871    10.183378   \n",
       "\n",
       "       Night Calls  Night Charge    Intl Mins   Intl Calls  Intl Charge  \\\n",
       "count  5000.000000   5000.000000  5000.000000  5000.000000  5000.000000   \n",
       "mean    224.790000      5.023490     5.025876     5.475400     4.328242   \n",
       "std      97.302875      1.748900     1.019302     1.877045     2.440311   \n",
       "min       0.000000      0.054863     1.648514     0.000000     0.000769   \n",
       "25%     150.000000      3.873157     4.349726     4.000000     2.468225   \n",
       "50%     200.000000      5.169154     5.034905     5.000000     4.214058   \n",
       "75%     300.000000      6.272015     5.716386     7.000000     5.960654   \n",
       "max     550.000000     10.407778     8.405644    12.000000    14.212261   \n",
       "\n",
       "       CustServ Calls  \n",
       "count     5000.000000  \n",
       "mean         5.525800  \n",
       "std          2.041217  \n",
       "min          0.000000  \n",
       "25%          4.000000  \n",
       "50%          6.000000  \n",
       "75%          7.000000  \n",
       "max         13.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x720 with 16 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Frequency tables for each categorical feature\n",
    "for column in churn.select_dtypes(include=[\"object\"]).columns:\n",
    "    display(pd.crosstab(index=churn[column], columns=\"% observations\", normalize=\"columns\"))\n",
    "\n",
    "# Histograms for each numeric features\n",
    "display(churn.describe())\n",
    "%matplotlib inline\n",
    "hist = churn.hist(bins=30, sharey=True, figsize=(10, 10))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2046fbb8",
   "metadata": {
    "papermill": {
     "duration": 0.171395,
     "end_time": "2022-04-18T00:25:35.592898",
     "exception": false,
     "start_time": "2022-04-18T00:25:35.421503",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "We can see immediately that:\n",
    "- `State` appears to be quite evenly distributed.\n",
    "- `Phone` takes on too many unique values to be of any practical use.  It's possible that parsing out the prefix could have some value, but without more context on how these are allocated, we should avoid using it.\n",
    "- Most of the numeric features are surprisingly nicely distributed, with many showing bell-like `gaussianity`.  `VMail Message` is a notable exception (and `Area Code` showing up as a feature we should convert to non-numeric)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "28552f05",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-04-18T00:25:35.819842Z",
     "iopub.status.busy": "2022-04-18T00:25:35.819323Z",
     "iopub.status.idle": "2022-04-18T00:25:35.890988Z",
     "shell.execute_reply": "2022-04-18T00:25:35.890433Z"
    },
    "papermill": {
     "duration": 0.188964,
     "end_time": "2022-04-18T00:25:35.891159",
     "exception": false,
     "start_time": "2022-04-18T00:25:35.702195",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "churn = churn.drop(\"Phone\", axis=1)\n",
    "churn[\"Area Code\"] = churn[\"Area Code\"].astype(object)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "197581c1",
   "metadata": {
    "papermill": {
     "duration": 0.200345,
     "end_time": "2022-04-18T00:25:36.212537",
     "exception": false,
     "start_time": "2022-04-18T00:25:36.012192",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Next let's look at the relationship between each of the features and our target variable."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "5cee110f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-04-18T00:25:36.590006Z",
     "iopub.status.busy": "2022-04-18T00:25:36.589118Z",
     "iopub.status.idle": "2022-04-18T00:25:50.004624Z",
     "shell.execute_reply": "2022-04-18T00:25:50.005051Z"
    },
    "papermill": {
     "duration": 13.606362,
     "end_time": "2022-04-18T00:25:50.005206",
     "exception": false,
     "start_time": "2022-04-18T00:25:36.398844",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Churn?</th>\n",
       "      <th>False.</th>\n",
       "      <th>True.</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>State</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AK</th>\n",
       "      <td>0.015588</td>\n",
       "      <td>0.018415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AL</th>\n",
       "      <td>0.021583</td>\n",
       "      <td>0.018415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AR</th>\n",
       "      <td>0.022782</td>\n",
       "      <td>0.021217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AZ</th>\n",
       "      <td>0.015588</td>\n",
       "      <td>0.020416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CA</th>\n",
       "      <td>0.020384</td>\n",
       "      <td>0.021217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CO</th>\n",
       "      <td>0.018785</td>\n",
       "      <td>0.017614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CT</th>\n",
       "      <td>0.015588</td>\n",
       "      <td>0.020016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DC</th>\n",
       "      <td>0.022382</td>\n",
       "      <td>0.022418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DE</th>\n",
       "      <td>0.018385</td>\n",
       "      <td>0.018014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FL</th>\n",
       "      <td>0.019984</td>\n",
       "      <td>0.015612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GA</th>\n",
       "      <td>0.017986</td>\n",
       "      <td>0.015212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HI</th>\n",
       "      <td>0.019185</td>\n",
       "      <td>0.018815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IA</th>\n",
       "      <td>0.018385</td>\n",
       "      <td>0.022818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ID</th>\n",
       "      <td>0.021583</td>\n",
       "      <td>0.022818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IL</th>\n",
       "      <td>0.021982</td>\n",
       "      <td>0.017614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IN</th>\n",
       "      <td>0.021583</td>\n",
       "      <td>0.016413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KS</th>\n",
       "      <td>0.014788</td>\n",
       "      <td>0.016813</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KY</th>\n",
       "      <td>0.017186</td>\n",
       "      <td>0.019215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LA</th>\n",
       "      <td>0.020783</td>\n",
       "      <td>0.019616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MA</th>\n",
       "      <td>0.021183</td>\n",
       "      <td>0.020416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MD</th>\n",
       "      <td>0.019584</td>\n",
       "      <td>0.025620</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ME</th>\n",
       "      <td>0.013589</td>\n",
       "      <td>0.016013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MI</th>\n",
       "      <td>0.018785</td>\n",
       "      <td>0.021617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MN</th>\n",
       "      <td>0.022782</td>\n",
       "      <td>0.021217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MO</th>\n",
       "      <td>0.020783</td>\n",
       "      <td>0.021617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MS</th>\n",
       "      <td>0.019584</td>\n",
       "      <td>0.022818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MT</th>\n",
       "      <td>0.017586</td>\n",
       "      <td>0.018415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NC</th>\n",
       "      <td>0.017186</td>\n",
       "      <td>0.020817</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ND</th>\n",
       "      <td>0.017186</td>\n",
       "      <td>0.014812</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NE</th>\n",
       "      <td>0.019185</td>\n",
       "      <td>0.024420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NH</th>\n",
       "      <td>0.019984</td>\n",
       "      <td>0.017614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NJ</th>\n",
       "      <td>0.022382</td>\n",
       "      <td>0.018014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NM</th>\n",
       "      <td>0.017186</td>\n",
       "      <td>0.016013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NV</th>\n",
       "      <td>0.023181</td>\n",
       "      <td>0.016413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NY</th>\n",
       "      <td>0.015188</td>\n",
       "      <td>0.024019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OH</th>\n",
       "      <td>0.019185</td>\n",
       "      <td>0.025220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OK</th>\n",
       "      <td>0.021183</td>\n",
       "      <td>0.016013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OR</th>\n",
       "      <td>0.019185</td>\n",
       "      <td>0.021617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PA</th>\n",
       "      <td>0.018785</td>\n",
       "      <td>0.020817</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RI</th>\n",
       "      <td>0.024380</td>\n",
       "      <td>0.023619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SC</th>\n",
       "      <td>0.021583</td>\n",
       "      <td>0.023619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SD</th>\n",
       "      <td>0.021583</td>\n",
       "      <td>0.019215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TN</th>\n",
       "      <td>0.021982</td>\n",
       "      <td>0.016813</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TX</th>\n",
       "      <td>0.019185</td>\n",
       "      <td>0.020016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UT</th>\n",
       "      <td>0.018385</td>\n",
       "      <td>0.019616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VA</th>\n",
       "      <td>0.021183</td>\n",
       "      <td>0.018415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VT</th>\n",
       "      <td>0.022382</td>\n",
       "      <td>0.016413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WA</th>\n",
       "      <td>0.021982</td>\n",
       "      <td>0.018415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WI</th>\n",
       "      <td>0.018785</td>\n",
       "      <td>0.015212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WV</th>\n",
       "      <td>0.019584</td>\n",
       "      <td>0.022018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WY</th>\n",
       "      <td>0.020783</td>\n",
       "      <td>0.020416</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      "text/plain": [
       "Churn?    False.     True.\n",
       "State                     \n",
       "AK      0.015588  0.018415\n",
       "AL      0.021583  0.018415\n",
       "AR      0.022782  0.021217\n",
       "AZ      0.015588  0.020416\n",
       "CA      0.020384  0.021217\n",
       "CO      0.018785  0.017614\n",
       "CT      0.015588  0.020016\n",
       "DC      0.022382  0.022418\n",
       "DE      0.018385  0.018014\n",
       "FL      0.019984  0.015612\n",
       "GA      0.017986  0.015212\n",
       "HI      0.019185  0.018815\n",
       "IA      0.018385  0.022818\n",
       "ID      0.021583  0.022818\n",
       "IL      0.021982  0.017614\n",
       "IN      0.021583  0.016413\n",
       "KS      0.014788  0.016813\n",
       "KY      0.017186  0.019215\n",
       "LA      0.020783  0.019616\n",
       "MA      0.021183  0.020416\n",
       "MD      0.019584  0.025620\n",
       "ME      0.013589  0.016013\n",
       "MI      0.018785  0.021617\n",
       "MN      0.022782  0.021217\n",
       "MO      0.020783  0.021617\n",
       "MS      0.019584  0.022818\n",
       "MT      0.017586  0.018415\n",
       "NC      0.017186  0.020817\n",
       "ND      0.017186  0.014812\n",
       "NE      0.019185  0.024420\n",
       "NH      0.019984  0.017614\n",
       "NJ      0.022382  0.018014\n",
       "NM      0.017186  0.016013\n",
       "NV      0.023181  0.016413\n",
       "NY      0.015188  0.024019\n",
       "OH      0.019185  0.025220\n",
       "OK      0.021183  0.016013\n",
       "OR      0.019185  0.021617\n",
       "PA      0.018785  0.020817\n",
       "RI      0.024380  0.023619\n",
       "SC      0.021583  0.023619\n",
       "SD      0.021583  0.019215\n",
       "TN      0.021982  0.016813\n",
       "TX      0.019185  0.020016\n",
       "UT      0.018385  0.019616\n",
       "VA      0.021183  0.018415\n",
       "VT      0.022382  0.016413\n",
       "WA      0.021982  0.018415\n",
       "WI      0.018785  0.015212\n",
       "WV      0.019584  0.022018\n",
       "WY      0.020783  0.020416"
      ]
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       "    <tr>\n",
       "      <th>686</th>\n",
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       "      <td>0.045637</td>\n",
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       "    <tr>\n",
       "      <th>737</th>\n",
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       "      <td>0.034027</td>\n",
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       "      <td>0.064452</td>\n",
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       "    <tr>\n",
       "      <th>778</th>\n",
       "      <td>0.037170</td>\n",
       "      <td>0.041233</td>\n",
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       "    <tr>\n",
       "      <th>786</th>\n",
       "      <td>0.053557</td>\n",
       "      <td>0.060048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>787</th>\n",
       "      <td>0.059552</td>\n",
       "      <td>0.051641</td>\n",
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       "    <tr>\n",
       "      <th>788</th>\n",
       "      <td>0.038369</td>\n",
       "      <td>0.040432</td>\n",
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       "    <tr>\n",
       "      <th>797</th>\n",
       "      <td>0.040368</td>\n",
       "      <td>0.041233</td>\n",
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       "    <tr>\n",
       "      <th>798</th>\n",
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       "      <td>0.021617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>806</th>\n",
       "      <td>0.018785</td>\n",
       "      <td>0.020817</td>\n",
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       "    <tr>\n",
       "      <th>827</th>\n",
       "      <td>0.024380</td>\n",
       "      <td>0.023619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>836</th>\n",
       "      <td>0.043165</td>\n",
       "      <td>0.042834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>847</th>\n",
       "      <td>0.021982</td>\n",
       "      <td>0.016813</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>848</th>\n",
       "      <td>0.019185</td>\n",
       "      <td>0.020016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>858</th>\n",
       "      <td>0.018385</td>\n",
       "      <td>0.019616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>866</th>\n",
       "      <td>0.021183</td>\n",
       "      <td>0.018415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>868</th>\n",
       "      <td>0.022382</td>\n",
       "      <td>0.016413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>876</th>\n",
       "      <td>0.021982</td>\n",
       "      <td>0.018415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>877</th>\n",
       "      <td>0.018785</td>\n",
       "      <td>0.015212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>878</th>\n",
       "      <td>0.040368</td>\n",
       "      <td>0.042434</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Churn?       False.     True.\n",
       "Area Code                    \n",
       "657        0.037170  0.036829\n",
       "658        0.022782  0.021217\n",
       "659        0.015588  0.020416\n",
       "676        0.020384  0.021217\n",
       "677        0.018785  0.017614\n",
       "678        0.015588  0.020016\n",
       "686        0.040767  0.040432\n",
       "707        0.019984  0.015612\n",
       "716        0.017986  0.015212\n",
       "727        0.019185  0.018815\n",
       "736        0.039968  0.045637\n",
       "737        0.043565  0.034027\n",
       "758        0.031974  0.036029\n",
       "766        0.020783  0.019616\n",
       "776        0.054357  0.062050\n",
       "777        0.062350  0.064452\n",
       "778        0.037170  0.041233\n",
       "786        0.053557  0.060048\n",
       "787        0.059552  0.051641\n",
       "788        0.038369  0.040432\n",
       "797        0.040368  0.041233\n",
       "798        0.019185  0.021617\n",
       "806        0.018785  0.020817\n",
       "827        0.024380  0.023619\n",
       "836        0.043165  0.042834\n",
       "847        0.021982  0.016813\n",
       "848        0.019185  0.020016\n",
       "858        0.018385  0.019616\n",
       "866        0.021183  0.018415\n",
       "868        0.022382  0.016413\n",
       "876        0.021982  0.018415\n",
       "877        0.018785  0.015212\n",
       "878        0.040368  0.042434"
      ]
     },
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       "      <th>Churn?</th>\n",
       "      <th>False.</th>\n",
       "      <th>True.</th>\n",
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       "    <tr>\n",
       "      <th>Int'l Plan</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
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       "      <th>yes</th>\n",
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       "Churn?      False.     True.\n",
       "Int'l Plan                  \n",
       "no             0.5  0.502802\n",
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       "      <th>False.</th>\n",
       "      <th>True.</th>\n",
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       "    <tr>\n",
       "      <th>VMail Plan</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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      "text/plain": [
       "Churn?        False.     True.\n",
       "VMail Plan                    \n",
       "no          0.496403  0.498799\n",
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      "Account Length\n"
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     "data": {
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",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "VMail Message\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Day Mins\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Day Calls\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Day Charge\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Eve Mins\n"
     ]
    },
    {
     "data": {
      "image/png": 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cuLJ5LUmaQW3dIzgBOL/ZPh94bkv1SJJGNI5EUMDlSa5Nsq4pO7Cq7gZong+Y/6Yk65KsT7J+y5YtYwhDkjSMcdwsfnpV3ZXkAOCKJN9cyJuq6mzgbIC1a9fWGOKQJA1h5BZBVd3VPG8GLgGOBDYlORiged48aj3SrEuyIck3klyfZH1Ttm+SK5Lc2jzvM+04pflGahEk2RPYo6rubbafBfwJcClwMnBm8/yJUQPV4szvUmp30ol5RlV9v+/1XMeJM5Oc3rx+/XRCkwYb9dLQgcAlSeY+60NV9dkk1wAfTnIK8B3g+SPWIy1VJwBHNdvnA1/ERKAZM1IiqKo7gH87oPwe4OhRPltaguY6ThTw1819sO06TjT30nbQdLRYB7Bq1apJxSsBjiyWxmmojhNg5wlNl3MNSWNixwktVSYCaQyS7JnkV+e26XWcuJEHOk6AHSc0o7w0JI2HHSe0ZJkIpDHoQseJQbPcankwEUjSmCzVKeG9RyBJHWcikKSOMxFIUseZCCSp47xZLEktWgoTQNoikKSOs0UgaSDHDXSHLQJJ6jgTgSR13NCJIMlhSb6Q5OYkNyV5TVP+piTfbZbruz7J8eMLV5I0bqPcI9gKvK6qrmtmXbw2yRXNvndW1V+MHp4kqW1DJ4Jm1aW5lZfuTXIzcMi4ApMkTcZY7hEkWQ08GfhKU3RakhuSnJtkn3HUIUlqx8jdR5PsBVwMvLaqfpLkLOAt9NZvfQvwduDlA97nGq0TtFRnRZTUvpFaBEkeTC8JfLCqPgZQVZuq6v6q2ga8j95yfTuoqrOram1VrV25cuUoYUiSRjBKr6EA5wA3V9U7+soP7jvsefSW65MkzahRLg09HXgJ8I0k1zdlbwBOTLKG3qWhDcArR4pQktSqUXoNXQVkwK7Lhg9H0iQ4fYT6OdeQJE3QLHbccIoJSeo4WwQdthTmSZfUPlsEktRxJgJJ6jgTgSR1nPcIJGnKpn2/zhaBJHWcLQL90kIGGdmzSFp+bBFIUsfZIpCkGTPp0ce2CCSp42wRSMucE8xpd0wEWpRZnDBL0mhMBJK0BLT5I6y1ewRJjk1yS5LbkpzeVj3SrPNc0KxrpUWQZAXwV8AxwEbgmiSXVtU/tlGfZouXjx4wjXPBewJarLYuDR0J3FZVdwAkuRA4ATARqGvGdi74H7zmG9fUFG0lgkOAO/tebwSe2lJdWgLGNWp5CbY2PBc089pKBIPWMq7tDkjWAeualz9NcstOPmt/4PtjjG1alu33yNvG88HDfs5u3veo4T51bHZ7LsDA8+EepvvvZRb+vU47hiVX/7DnQluJYCNwWN/rQ4G7+g+oqrOBs3f3QUnWV9Xa8YY3eX6PztrtuQA7ng/T/nOedv2zEEOX6m+r19A1wOFJHp3kIcCLgEtbqkuaZZ4LmnmttAiqamuS04DPASuAc6vqpjbqkmaZ54KWgtYGlFXVZcBlY/io3V4+WiL8Hh015Lkw7T/nadcP04+hM/Wnaof7VpKkDnH2UUnqOBOBJHXczE06l+Tf0Bt5eQi9/tZ3AZdW1c1TDUySlqmZahEkeT1wIb1BOF+l1/UuwAVLebKuJL+R5A+SPGvasWi2Jdk3yT6zEMcU6jwwyVOSPDnJgZOuf14sE//+0zRTN4uT/BPwxKr6l3nlDwFuqqrDpxPZ4iT5alUd2Wy/AjgVuAR4FvDJqjpzmvFptiRZBfwZcDTwI3o/fh4OfB44vao2tFz/G6vqT5vtJwAfBx7cxPHCqvpKy/WvAd4L7A18tyk+lN6fxX+rqutarn+q378vjr2BY9n+asjnqupHrVdeVTPzAL4JPGpA+aOAW6Yd3yK+x9f6tq8BVjbbewLfmHZ8i/wuewNnNn839zSPm5uyR0w7vuXwAL4MvBBY0Ve2gt7gs6snUP91fdufBo5rto8E/mEC9V8PPHVA+dOAry/379/UdRJwO3AW8Mbm8d6m7KS265+1ewSvBa5McisPTNS1CvjXwGlTi2rx9mia93vQa3VtAaiqnyXZOt3QFu3D9H6ZHlVV3wNIchBwMvARetMrazT7V9VF/QVVdT9wYZK3TDiWR1bVZ5oYvprkVyZQ55414Fd3VV2dZM8J1N9vGt8f4I+AI2rer//m/5GvAB9os/KZSgRV9dkkj6OXiQ+h1zTbCFzTnBhLxd7AtfTiryQHVdX3kuzF4EnIZtnqqtpuKqsmIbwtycunFNNyc22S9wDn88APoMPoJduvTaD+xyS5lN6/zUOTPKyq7mv2PXgC9X8myafp/WfX//1PAj47gfqn/f1p6h50nX4bE/g/Y6YSAUBVbQOunnYco6iq1TvZtQ143gRDGYdvJ/nvwPlVtQl6N/WAl7L99Moa3knAKcCbeeAH0J3AJ4FzJlD/CfNe7wG//Hs+q+3Kq+rVSY7jgd6Ccz8A/6p6o7LbNtXv33grcF2Sy9n+asgxQOutwpm6WazZ0zRNT6d3shzQFG+iN3HamVX1w2nFJi0nzbn2O2yfDD83iXPMRKChJXlZVb1/2nEsZ0meXVWfmmL966o3Rbb1L2MzNY5AS86bpx1AB/y7Kdc/7XtaXa+fJK0nIlsE2qUkN+xsF/C4qnroJONZrqY9or6p/xDgK1X1077yY6tqEjds+2P5DXodRm6sqssnUN+rgUuqaibveSU5oqqubbUOE4F2Jckmetct51+nDL0+1o+cfFTLSzOi/kR6o+o3NsWH0htHcGG1PACx+Y/wVHrjQ9YAr6mqTzT7rquqp7Rc/1QHYCb5MfAzen32LwA+MtfluytMBNqlJOcA76+qqwbs+1BV/ecphLWsTHtEfZJvAP++qn6aZDXwUeBvqupdSb5WVU9uuf5f1pHkGuD4qtrSjCG4uqqe1Hb9wBHAM+kN7HsOve7fFwAfq6p726y/iWFv4AzgucDKpngz8Al6nTJaHV3sPQLtUlWdMigJNPtMAuOxDRjUsjq42de2FXOXg6o3ncVRwHFJ3sFkrpHvkWSfJPsxbwAmMIkBmFVV26rq8qo6hd7fxXvoTfdwxwTqh97AzR/SG7i5X1XtBzyjKftI25XbIpCmLMmxwLuBgSPq275Gn+TzwB9U1fV9ZQ8CzgVeXFUrWq5/Aw8MnCrgP/QNwLyqqta0XP9OWz1JfqWqft5m/U09t1TV4xe7b2z1mwik6UuyB1MaUZ/kUGDr3BQi8/Y9var+vu0YBknyMODAqvpWy/U8rqr+qc06FhDD5cDfMnjg5jFV9cxW6zcRSNJ0TXvgpolAkmbYJAZumggkaYYl+U5VrWqzjpmbdE6SumY3AzdbX63NRCBJ03cguxi42XblJgJJmr5PAXv1d+Gdk+SLbVfuPQJJ6jhHFktSx5kIJKnjTASS1HEmAknqOBOBJHXc/wcrCca+5l5EvgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Eve Calls\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Eve Charge\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Night Mins\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Night Calls\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Night Charge\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Intl Mins\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Intl Calls\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Intl Charge\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CustServ Calls\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for column in churn.select_dtypes(include=[\"object\"]).columns:\n",
    "    if column != \"Churn?\":\n",
    "        display(pd.crosstab(index=churn[column], columns=churn[\"Churn?\"], normalize=\"columns\"))\n",
    "\n",
    "for column in churn.select_dtypes(exclude=[\"object\"]).columns:\n",
    "    print(column)\n",
    "    hist = churn[[column, \"Churn?\"]].hist(by=\"Churn?\", bins=30)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "f1e491a6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-04-18T00:25:50.319195Z",
     "iopub.status.busy": "2022-04-18T00:25:50.318702Z",
     "iopub.status.idle": "2022-04-18T00:27:11.605814Z",
     "shell.execute_reply": "2022-04-18T00:27:11.606519Z"
    },
    "papermill": {
     "duration": 81.418771,
     "end_time": "2022-04-18T00:27:11.606731",
     "exception": false,
     "start_time": "2022-04-18T00:25:50.187960",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Account Length</th>\n",
       "      <th>VMail Message</th>\n",
       "      <th>Day Mins</th>\n",
       "      <th>Day Calls</th>\n",
       "      <th>Day Charge</th>\n",
       "      <th>Eve Mins</th>\n",
       "      <th>Eve Calls</th>\n",
       "      <th>Eve Charge</th>\n",
       "      <th>Night Mins</th>\n",
       "      <th>Night Calls</th>\n",
       "      <th>Night Charge</th>\n",
       "      <th>Intl Mins</th>\n",
       "      <th>Intl Calls</th>\n",
       "      <th>Intl Charge</th>\n",
       "      <th>CustServ Calls</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Account Length</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.009030</td>\n",
       "      <td>-0.015878</td>\n",
       "      <td>0.011659</td>\n",
       "      <td>-0.007468</td>\n",
       "      <td>0.000213</td>\n",
       "      <td>0.026515</td>\n",
       "      <td>-0.012795</td>\n",
       "      <td>0.016400</td>\n",
       "      <td>-0.002383</td>\n",
       "      <td>-0.034925</td>\n",
       "      <td>0.017277</td>\n",
       "      <td>-0.003735</td>\n",
       "      <td>0.028285</td>\n",
       "      <td>-0.036721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VMail Message</th>\n",
       "      <td>-0.009030</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.143272</td>\n",
       "      <td>0.002762</td>\n",
       "      <td>-0.182712</td>\n",
       "      <td>-0.104667</td>\n",
       "      <td>-0.101240</td>\n",
       "      <td>-0.029212</td>\n",
       "      <td>0.061370</td>\n",
       "      <td>0.135042</td>\n",
       "      <td>-0.155475</td>\n",
       "      <td>-0.015162</td>\n",
       "      <td>0.131964</td>\n",
       "      <td>0.010120</td>\n",
       "      <td>0.068657</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Day Mins</th>\n",
       "      <td>-0.015878</td>\n",
       "      <td>-0.143272</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.087598</td>\n",
       "      <td>0.667941</td>\n",
       "      <td>0.482641</td>\n",
       "      <td>-0.184939</td>\n",
       "      <td>0.766489</td>\n",
       "      <td>0.188190</td>\n",
       "      <td>-0.445212</td>\n",
       "      <td>0.570508</td>\n",
       "      <td>0.001988</td>\n",
       "      <td>0.236131</td>\n",
       "      <td>0.239331</td>\n",
       "      <td>-0.195322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Day Calls</th>\n",
       "      <td>0.011659</td>\n",
       "      <td>0.002762</td>\n",
       "      <td>-0.087598</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.222556</td>\n",
       "      <td>0.033903</td>\n",
       "      <td>0.185881</td>\n",
       "      <td>-0.052051</td>\n",
       "      <td>-0.085222</td>\n",
       "      <td>-0.083050</td>\n",
       "      <td>0.046641</td>\n",
       "      <td>-0.022548</td>\n",
       "      <td>-0.045671</td>\n",
       "      <td>-0.120064</td>\n",
       "      <td>-0.065518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Day Charge</th>\n",
       "      <td>-0.007468</td>\n",
       "      <td>-0.182712</td>\n",
       "      <td>0.667941</td>\n",
       "      <td>-0.222556</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.574697</td>\n",
       "      <td>0.236626</td>\n",
       "      <td>0.371580</td>\n",
       "      <td>0.150700</td>\n",
       "      <td>-0.130722</td>\n",
       "      <td>0.374861</td>\n",
       "      <td>0.010294</td>\n",
       "      <td>0.119584</td>\n",
       "      <td>0.251748</td>\n",
       "      <td>-0.260945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Eve Mins</th>\n",
       "      <td>0.000213</td>\n",
       "      <td>-0.104667</td>\n",
       "      <td>0.482641</td>\n",
       "      <td>0.033903</td>\n",
       "      <td>0.574697</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.067123</td>\n",
       "      <td>0.269980</td>\n",
       "      <td>-0.090515</td>\n",
       "      <td>0.067315</td>\n",
       "      <td>0.317481</td>\n",
       "      <td>-0.015678</td>\n",
       "      <td>0.070456</td>\n",
       "      <td>0.448910</td>\n",
       "      <td>-0.167347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Eve Calls</th>\n",
       "      <td>0.026515</td>\n",
       "      <td>-0.101240</td>\n",
       "      <td>-0.184939</td>\n",
       "      <td>0.185881</td>\n",
       "      <td>0.236626</td>\n",
       "      <td>-0.067123</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.467814</td>\n",
       "      <td>0.221439</td>\n",
       "      <td>0.218149</td>\n",
       "      <td>-0.324936</td>\n",
       "      <td>-0.001593</td>\n",
       "      <td>-0.112062</td>\n",
       "      <td>0.017036</td>\n",
       "      <td>-0.433467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Eve Charge</th>\n",
       "      <td>-0.012795</td>\n",
       "      <td>-0.029212</td>\n",
       "      <td>0.766489</td>\n",
       "      <td>-0.052051</td>\n",
       "      <td>0.371580</td>\n",
       "      <td>0.269980</td>\n",
       "      <td>-0.467814</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.184230</td>\n",
       "      <td>-0.454649</td>\n",
       "      <td>0.546137</td>\n",
       "      <td>-0.003569</td>\n",
       "      <td>0.164104</td>\n",
       "      <td>0.243936</td>\n",
       "      <td>-0.011019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Night Mins</th>\n",
       "      <td>0.016400</td>\n",
       "      <td>0.061370</td>\n",
       "      <td>0.188190</td>\n",
       "      <td>-0.085222</td>\n",
       "      <td>0.150700</td>\n",
       "      <td>-0.090515</td>\n",
       "      <td>0.221439</td>\n",
       "      <td>0.184230</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.223023</td>\n",
       "      <td>-0.140482</td>\n",
       "      <td>-0.012781</td>\n",
       "      <td>0.038831</td>\n",
       "      <td>0.271179</td>\n",
       "      <td>-0.332802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Night Calls</th>\n",
       "      <td>-0.002383</td>\n",
       "      <td>0.135042</td>\n",
       "      <td>-0.445212</td>\n",
       "      <td>-0.083050</td>\n",
       "      <td>-0.130722</td>\n",
       "      <td>0.067315</td>\n",
       "      <td>0.218149</td>\n",
       "      <td>-0.454649</td>\n",
       "      <td>-0.223023</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.390333</td>\n",
       "      <td>-0.009821</td>\n",
       "      <td>0.181237</td>\n",
       "      <td>-0.155736</td>\n",
       "      <td>0.110211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Night Charge</th>\n",
       "      <td>-0.034925</td>\n",
       "      <td>-0.155475</td>\n",
       "      <td>0.570508</td>\n",
       "      <td>0.046641</td>\n",
       "      <td>0.374861</td>\n",
       "      <td>0.317481</td>\n",
       "      <td>-0.324936</td>\n",
       "      <td>0.546137</td>\n",
       "      <td>-0.140482</td>\n",
       "      <td>-0.390333</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.012585</td>\n",
       "      <td>-0.009720</td>\n",
       "      <td>-0.330772</td>\n",
       "      <td>0.439805</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Intl Mins</th>\n",
       "      <td>0.017277</td>\n",
       "      <td>-0.015162</td>\n",
       "      <td>0.001988</td>\n",
       "      <td>-0.022548</td>\n",
       "      <td>0.010294</td>\n",
       "      <td>-0.015678</td>\n",
       "      <td>-0.001593</td>\n",
       "      <td>-0.003569</td>\n",
       "      <td>-0.012781</td>\n",
       "      <td>-0.009821</td>\n",
       "      <td>0.012585</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.007220</td>\n",
       "      <td>-0.010907</td>\n",
       "      <td>-0.008672</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Intl Calls</th>\n",
       "      <td>-0.003735</td>\n",
       "      <td>0.131964</td>\n",
       "      <td>0.236131</td>\n",
       "      <td>-0.045671</td>\n",
       "      <td>0.119584</td>\n",
       "      <td>0.070456</td>\n",
       "      <td>-0.112062</td>\n",
       "      <td>0.164104</td>\n",
       "      <td>0.038831</td>\n",
       "      <td>0.181237</td>\n",
       "      <td>-0.009720</td>\n",
       "      <td>-0.007220</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.233809</td>\n",
       "      <td>-0.012260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Intl Charge</th>\n",
       "      <td>0.028285</td>\n",
       "      <td>0.010120</td>\n",
       "      <td>0.239331</td>\n",
       "      <td>-0.120064</td>\n",
       "      <td>0.251748</td>\n",
       "      <td>0.448910</td>\n",
       "      <td>0.017036</td>\n",
       "      <td>0.243936</td>\n",
       "      <td>0.271179</td>\n",
       "      <td>-0.155736</td>\n",
       "      <td>-0.330772</td>\n",
       "      <td>-0.010907</td>\n",
       "      <td>-0.233809</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.661833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CustServ Calls</th>\n",
       "      <td>-0.036721</td>\n",
       "      <td>0.068657</td>\n",
       "      <td>-0.195322</td>\n",
       "      <td>-0.065518</td>\n",
       "      <td>-0.260945</td>\n",
       "      <td>-0.167347</td>\n",
       "      <td>-0.433467</td>\n",
       "      <td>-0.011019</td>\n",
       "      <td>-0.332802</td>\n",
       "      <td>0.110211</td>\n",
       "      <td>0.439805</td>\n",
       "      <td>-0.008672</td>\n",
       "      <td>-0.012260</td>\n",
       "      <td>-0.661833</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Account Length  VMail Message  Day Mins  Day Calls  \\\n",
       "Account Length        1.000000      -0.009030 -0.015878   0.011659   \n",
       "VMail Message        -0.009030       1.000000 -0.143272   0.002762   \n",
       "Day Mins             -0.015878      -0.143272  1.000000  -0.087598   \n",
       "Day Calls             0.011659       0.002762 -0.087598   1.000000   \n",
       "Day Charge           -0.007468      -0.182712  0.667941  -0.222556   \n",
       "Eve Mins              0.000213      -0.104667  0.482641   0.033903   \n",
       "Eve Calls             0.026515      -0.101240 -0.184939   0.185881   \n",
       "Eve Charge           -0.012795      -0.029212  0.766489  -0.052051   \n",
       "Night Mins            0.016400       0.061370  0.188190  -0.085222   \n",
       "Night Calls          -0.002383       0.135042 -0.445212  -0.083050   \n",
       "Night Charge         -0.034925      -0.155475  0.570508   0.046641   \n",
       "Intl Mins             0.017277      -0.015162  0.001988  -0.022548   \n",
       "Intl Calls           -0.003735       0.131964  0.236131  -0.045671   \n",
       "Intl Charge           0.028285       0.010120  0.239331  -0.120064   \n",
       "CustServ Calls       -0.036721       0.068657 -0.195322  -0.065518   \n",
       "\n",
       "                Day Charge  Eve Mins  Eve Calls  Eve Charge  Night Mins  \\\n",
       "Account Length   -0.007468  0.000213   0.026515   -0.012795    0.016400   \n",
       "VMail Message    -0.182712 -0.104667  -0.101240   -0.029212    0.061370   \n",
       "Day Mins          0.667941  0.482641  -0.184939    0.766489    0.188190   \n",
       "Day Calls        -0.222556  0.033903   0.185881   -0.052051   -0.085222   \n",
       "Day Charge        1.000000  0.574697   0.236626    0.371580    0.150700   \n",
       "Eve Mins          0.574697  1.000000  -0.067123    0.269980   -0.090515   \n",
       "Eve Calls         0.236626 -0.067123   1.000000   -0.467814    0.221439   \n",
       "Eve Charge        0.371580  0.269980  -0.467814    1.000000    0.184230   \n",
       "Night Mins        0.150700 -0.090515   0.221439    0.184230    1.000000   \n",
       "Night Calls      -0.130722  0.067315   0.218149   -0.454649   -0.223023   \n",
       "Night Charge      0.374861  0.317481  -0.324936    0.546137   -0.140482   \n",
       "Intl Mins         0.010294 -0.015678  -0.001593   -0.003569   -0.012781   \n",
       "Intl Calls        0.119584  0.070456  -0.112062    0.164104    0.038831   \n",
       "Intl Charge       0.251748  0.448910   0.017036    0.243936    0.271179   \n",
       "CustServ Calls   -0.260945 -0.167347  -0.433467   -0.011019   -0.332802   \n",
       "\n",
       "                Night Calls  Night Charge  Intl Mins  Intl Calls  Intl Charge  \\\n",
       "Account Length    -0.002383     -0.034925   0.017277   -0.003735     0.028285   \n",
       "VMail Message      0.135042     -0.155475  -0.015162    0.131964     0.010120   \n",
       "Day Mins          -0.445212      0.570508   0.001988    0.236131     0.239331   \n",
       "Day Calls         -0.083050      0.046641  -0.022548   -0.045671    -0.120064   \n",
       "Day Charge        -0.130722      0.374861   0.010294    0.119584     0.251748   \n",
       "Eve Mins           0.067315      0.317481  -0.015678    0.070456     0.448910   \n",
       "Eve Calls          0.218149     -0.324936  -0.001593   -0.112062     0.017036   \n",
       "Eve Charge        -0.454649      0.546137  -0.003569    0.164104     0.243936   \n",
       "Night Mins        -0.223023     -0.140482  -0.012781    0.038831     0.271179   \n",
       "Night Calls        1.000000     -0.390333  -0.009821    0.181237    -0.155736   \n",
       "Night Charge      -0.390333      1.000000   0.012585   -0.009720    -0.330772   \n",
       "Intl Mins         -0.009821      0.012585   1.000000   -0.007220    -0.010907   \n",
       "Intl Calls         0.181237     -0.009720  -0.007220    1.000000    -0.233809   \n",
       "Intl Charge       -0.155736     -0.330772  -0.010907   -0.233809     1.000000   \n",
       "CustServ Calls     0.110211      0.439805  -0.008672   -0.012260    -0.661833   \n",
       "\n",
       "                CustServ Calls  \n",
       "Account Length       -0.036721  \n",
       "VMail Message         0.068657  \n",
       "Day Mins             -0.195322  \n",
       "Day Calls            -0.065518  \n",
       "Day Charge           -0.260945  \n",
       "Eve Mins             -0.167347  \n",
       "Eve Calls            -0.433467  \n",
       "Eve Charge           -0.011019  \n",
       "Night Mins           -0.332802  \n",
       "Night Calls           0.110211  \n",
       "Night Charge          0.439805  \n",
       "Intl Mins            -0.008672  \n",
       "Intl Calls           -0.012260  \n",
       "Intl Charge          -0.661833  \n",
       "CustServ Calls        1.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 864x864 with 225 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(churn.corr())\n",
    "pd.plotting.scatter_matrix(churn, figsize=(12, 12))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3217f3c5",
   "metadata": {
    "papermill": {
     "duration": 0.29132,
     "end_time": "2022-04-18T00:27:12.197112",
     "exception": false,
     "start_time": "2022-04-18T00:27:11.905792",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "We see several features that essentially have 100% correlation with one another.  Including these feature pairs in some machine learning algorithms can create catastrophic problems, while in others it will only introduce minor redundancy and bias.  Let's remove one feature from each of the highly correlated pairs: `Day Charge` from the pair with `Day Mins`, `Night Charge` from the pair with `Night Mins`, `Intl Charge` from the pair with `Intl Mins`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "c904a9d2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-04-18T00:27:13.391262Z",
     "iopub.status.busy": "2022-04-18T00:27:13.390443Z",
     "iopub.status.idle": "2022-04-18T00:27:13.393793Z",
     "shell.execute_reply": "2022-04-18T00:27:13.394508Z"
    },
    "papermill": {
     "duration": 0.700796,
     "end_time": "2022-04-18T00:27:13.394704",
     "exception": false,
     "start_time": "2022-04-18T00:27:12.693908",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "churn = churn.drop([\"Day Charge\", \"Eve Charge\", \"Night Charge\", \"Intl Charge\"], axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a3ce9711",
   "metadata": {
    "papermill": {
     "duration": 0.411572,
     "end_time": "2022-04-18T00:27:14.404628",
     "exception": false,
     "start_time": "2022-04-18T00:27:13.993056",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Now that we've cleaned up our dataset, let's determine which algorithm to use.  As mentioned above, there appear to be some variables where both high and low (but not intermediate) values are predictive of churn.  In order to accommodate this in an algorithm like linear regression, we'd need to generate polynomial (or bucketed) terms.  Instead, let's attempt to model this problem using gradient boosted trees.  Amazon SageMaker provides an XGBoost container that we can use to train in a managed, distributed setting, and then host as a real-time prediction endpoint.  XGBoost uses gradient boosted trees which naturally account for non-linear relationships between features and the target variable, as well as accommodating complex interactions between features.\n",
    "\n",
    "Amazon SageMaker XGBoost can train on data in either a CSV or LibSVM format.  For this example, we'll stick with CSV.  It should:\n",
    "- Have the predictor variable in the first column\n",
    "- Not have a header row\n",
    "\n",
    "But first, let's convert our categorical features into numeric features."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "8b3ea731",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-04-18T00:27:15.289448Z",
     "iopub.status.busy": "2022-04-18T00:27:15.288672Z",
     "iopub.status.idle": "2022-04-18T00:27:15.304402Z",
     "shell.execute_reply": "2022-04-18T00:27:15.303909Z"
    },
    "papermill": {
     "duration": 0.31783,
     "end_time": "2022-04-18T00:27:15.304547",
     "exception": false,
     "start_time": "2022-04-18T00:27:14.986717",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "model_data = pd.get_dummies(churn)\n",
    "model_data = pd.concat(\n",
    "    [model_data[\"Churn?_True.\"], model_data.drop([\"Churn?_False.\", \"Churn?_True.\"], axis=1)], axis=1\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "664ad1dc",
   "metadata": {
    "papermill": {
     "duration": 0.502298,
     "end_time": "2022-04-18T00:27:16.488853",
     "exception": false,
     "start_time": "2022-04-18T00:27:15.986555",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "And now let's split the data into training, validation, and test sets.  This will help prevent us from overfitting the model, and allow us to test the model's accuracy on data it hasn't already seen."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "298362cf",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-04-18T00:27:17.793698Z",
     "iopub.status.busy": "2022-04-18T00:27:17.791418Z",
     "iopub.status.idle": "2022-04-18T00:27:18.803424Z",
     "shell.execute_reply": "2022-04-18T00:27:18.804058Z"
    },
    "papermill": {
     "duration": 1.776905,
     "end_time": "2022-04-18T00:27:18.886705",
     "exception": false,
     "start_time": "2022-04-18T00:27:17.109800",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "train_data, validation_data, test_data = np.split(\n",
    "    model_data.sample(frac=1, random_state=1729),\n",
    "    [int(0.7 * len(model_data)), int(0.9 * len(model_data))],\n",
    ")\n",
    "train_data.to_csv(\"train.csv\", header=False, index=False)\n",
    "validation_data.to_csv(\"validation.csv\", header=False, index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "b6a5d489",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-04-18T00:27:20.393686Z",
     "iopub.status.busy": "2022-04-18T00:27:20.392749Z",
     "iopub.status.idle": "2022-04-18T00:27:20.396412Z",
     "shell.execute_reply": "2022-04-18T00:27:20.394472Z"
    },
    "papermill": {
     "duration": 0.89945,
     "end_time": "2022-04-18T00:27:20.396578",
     "exception": false,
     "start_time": "2022-04-18T00:27:19.497128",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "100"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(train_data.columns)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "31cd03d7",
   "metadata": {
    "papermill": {
     "duration": 0.8098,
     "end_time": "2022-04-18T00:27:22.101140",
     "exception": false,
     "start_time": "2022-04-18T00:27:21.291340",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Now we'll upload these files to S3."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "5b8d288f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-04-18T00:27:23.587287Z",
     "iopub.status.busy": "2022-04-18T00:27:23.503799Z",
     "iopub.status.idle": "2022-04-18T00:27:25.294192Z",
     "shell.execute_reply": "2022-04-18T00:27:25.292967Z"
    },
    "papermill": {
     "duration": 2.48255,
     "end_time": "2022-04-18T00:27:25.294382",
     "exception": false,
     "start_time": "2022-04-18T00:27:22.811832",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "boto3.Session().resource(\"s3\").Bucket(bucket).Object(\n",
    "    os.path.join(prefix, \"train/train.csv\")\n",
    ").upload_file(\"train.csv\")\n",
    "boto3.Session().resource(\"s3\").Bucket(bucket).Object(\n",
    "    os.path.join(prefix, \"validation/validation.csv\")\n",
    ").upload_file(\"validation.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "15beea62",
   "metadata": {
    "papermill": {
     "duration": 0.604505,
     "end_time": "2022-04-18T00:27:26.405993",
     "exception": false,
     "start_time": "2022-04-18T00:27:25.801488",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "---\n",
    "## Train\n",
    "\n",
    "Moving onto training, first we'll need to specify the locations of the XGBoost algorithm containers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "79682277",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-04-18T00:27:27.792217Z",
     "iopub.status.busy": "2022-04-18T00:27:27.786921Z",
     "iopub.status.idle": "2022-04-18T00:27:27.888711Z",
     "shell.execute_reply": "2022-04-18T00:27:27.889780Z"
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     "exception": false,
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'433757028032.dkr.ecr.us-west-2.amazonaws.com/xgboost:latest'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "container = sagemaker.image_uris.retrieve(\"xgboost\", sess.boto_region_name, \"1.7-1\")\n",
    "display(container)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6be2c94d",
   "metadata": {
    "papermill": {
     "duration": 0.678915,
     "end_time": "2022-04-18T00:27:28.988774",
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     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Then, because we're training with the CSV file format, we'll create `TrainingInput`s that our training function can use as a pointer to the files in S3."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "fb3b53d1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-04-18T00:27:30.295456Z",
     "iopub.status.busy": "2022-04-18T00:27:30.294500Z",
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     "shell.execute_reply": "2022-04-18T00:27:30.296192Z"
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     "exception": false,
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "s3_input_train = TrainingInput(\n",
    "    s3_data=\"s3://{}/{}/train\".format(bucket, prefix), content_type=\"csv\"\n",
    ")\n",
    "s3_input_validation = TrainingInput(\n",
    "    s3_data=\"s3://{}/{}/validation/\".format(bucket, prefix), content_type=\"csv\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d0e18e91",
   "metadata": {
    "papermill": {
     "duration": 0.492914,
     "end_time": "2022-04-18T00:27:31.292718",
     "exception": false,
     "start_time": "2022-04-18T00:27:30.799804",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Now, we can specify a few parameters like what type of training instances we'd like to use and how many, as well as our XGBoost hyperparameters.  A few key hyperparameters are:\n",
    "- `max_depth` controls how deep each tree within the algorithm can be built.  Deeper trees can lead to better fit, but are more computationally expensive and can lead to overfitting.  There is typically some trade-off in model performance that needs to be explored between numerous shallow trees and a smaller number of deeper trees.\n",
    "- `subsample` controls sampling of the training data.  This technique can help reduce overfitting, but setting it too low can also starve the model of data.\n",
    "- `num_round` controls the number of boosting rounds.  This is essentially the subsequent models that are trained using the residuals of previous iterations.  Again, more rounds should produce a better fit on the training data, but can be computationally expensive or lead to overfitting.\n",
    "- `eta` controls how aggressive each round of boosting is.  Larger values lead to more conservative boosting.\n",
    "- `gamma` controls how aggressively trees are grown.  Larger values lead to more conservative models.\n",
    "\n",
    "More detail on XGBoost's hyper-parameters can be found on their GitHub [page](https://github.com/dmlc/xgboost/blob/master/doc/parameter.md)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "3aea5a5c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-04-18T00:27:32.401013Z",
     "iopub.status.busy": "2022-04-18T00:27:32.399882Z",
     "iopub.status.idle": "2022-04-18T00:31:46.465183Z",
     "shell.execute_reply": "2022-04-18T00:31:46.464783Z"
    },
    "papermill": {
     "duration": 254.659733,
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     "exception": false,
     "start_time": "2022-04-18T00:27:31.805564",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2022-04-18 00:27:32 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 00:27:58 Starting - Preparing the instances for trainingProfilerReport-1650241652: 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": [
      "."
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "."
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "2022-04-18 00:29:20 Downloading - Downloading input data."
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "."
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "."
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "2022-04-18 00:29:57 Training - Downloading the training image."
     ]
    },
    {
     "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 00:30:57 Training - Training image download completed. Training in progress."
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[34mArguments: train\u001b[0m\n",
      "\u001b[34m[2022-04-18:00:31:00:INFO] Running standalone xgboost training.\u001b[0m\n",
      "\u001b[34m[2022-04-18:00:31:00:INFO] File size need to be processed in the node: 1.15mb. Available memory size in the node: 8506.4mb\u001b[0m\n",
      "\u001b[34m[2022-04-18:00:31:00:INFO] Determined delimiter of CSV input is ','\u001b[0m\n",
      "\u001b[34m[00:31:00] S3DistributionType set as FullyReplicated\u001b[0m\n",
      "\u001b[34m[00:31:00] 3500x99 matrix with 346500 entries loaded from /opt/ml/input/data/train?format=csv&label_column=0&delimiter=,\u001b[0m\n",
      "\u001b[34m[2022-04-18:00:31:00:INFO] Determined delimiter of CSV input is ','\u001b[0m\n",
      "\u001b[34m[00:31:00] S3DistributionType set as FullyReplicated\u001b[0m\n",
      "\u001b[34m[00:31:00] 1000x99 matrix with 99000 entries loaded from /opt/ml/input/data/validation?format=csv&label_column=0&delimiter=,\u001b[0m\n",
      "\u001b[34m[00:31:00] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 42 extra nodes, 6 pruned nodes, max_depth=5\u001b[0m\n",
      "\u001b[34m[0]#011train-error:0.116857#011validation-error:0.114\u001b[0m\n",
      "\u001b[34m[00:31:00] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 38 extra nodes, 12 pruned nodes, max_depth=5\u001b[0m\n",
      "\u001b[34m[1]#011train-error:0.102857#011validation-error:0.1\u001b[0m\n",
      "\u001b[34m[00:31:00] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 40 extra nodes, 8 pruned nodes, max_depth=5\u001b[0m\n",
      "\u001b...\n",
      "\u001b[34m[00:31:02] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 14 extra nodes, 8 pruned nodes, max_depth=5\u001b[0m\n",
      "\u001b[34m[97]#011train-error:0.036#011validation-error:0.063\u001b[0m\n",
      "\u001b[34m[00:31:02] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 20 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[98]#011train-error:0.036286#011validation-error:0.063\u001b[0m\n",
      "\u001b[34m[00:31:02] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 10 extra nodes, 16 pruned nodes, max_depth=5\u001b[0m\n",
      "\u001b[34m[99]#011train-error:0.036286#011validation-error:0.064\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "2022-04-18 00:31:18 Uploading - Uploading generated training model\n",
      "2022-04-18 00:31:18 Completed - Training job completed\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training seconds: 118\n",
      "Billable seconds: 118\n"
     ]
    }
   ],
   "source": [
    "sess = sagemaker.Session()\n",
    "\n",
    "xgb = sagemaker.estimator.Estimator(\n",
    "    container,\n",
    "    role,\n",
    "    instance_count=1,\n",
    "    instance_type=\"ml.m4.xlarge\",\n",
    "    output_path=\"s3://{}/{}/output\".format(bucket, prefix),\n",
    "    sagemaker_session=sess,\n",
    ")\n",
    "xgb.set_hyperparameters(\n",
    "    max_depth=5,\n",
    "    eta=0.2,\n",
    "    gamma=4,\n",
    "    min_child_weight=6,\n",
    "    subsample=0.8,\n",
    "    verbosity=0,\n",
    "    objective=\"binary:logistic\",\n",
    "    num_round=100,\n",
    ")\n",
    "\n",
    "xgb.fit({\"train\": s3_input_train, \"validation\": s3_input_validation})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "171515b0",
   "metadata": {
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     "duration": 0.088731,
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     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "---\n",
    "## Host\n",
    "\n",
    "Now that we've trained the algorithm, let's create a model and deploy it to a hosted endpoint."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "8f0232f5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-04-18T00:31:46.877305Z",
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "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": [
      "-"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "!"
     ]
    }
   ],
   "source": [
    "xgb_predictor = xgb.deploy(\n",
    "    initial_instance_count=1, instance_type=\"ml.m4.xlarge\", serializer=CSVSerializer()\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "29ab4cae",
   "metadata": {
    "papermill": {
     "duration": 0.082482,
     "end_time": "2022-04-18T00:35:18.569981",
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     "start_time": "2022-04-18T00:35:18.487499",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### Evaluate\n",
    "\n",
    "Now that we have a hosted endpoint running, we can make real-time predictions from our model very easily, simply by making a `http` POST request.  But first, we'll need to set up serializers and deserializers for passing our `test_data` NumPy arrays to the model behind the endpoint."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6f03c792",
   "metadata": {
    "papermill": {
     "duration": 0.082089,
     "end_time": "2022-04-18T00:35:18.736876",
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     "start_time": "2022-04-18T00:35:18.654787",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Now, we'll use a simple function to:\n",
    "1. Loop over our test dataset\n",
    "1. Split it into mini-batches of rows \n",
    "1. Convert those mini-batchs to CSV string payloads\n",
    "1. Retrieve mini-batch predictions by invoking the XGBoost endpoint\n",
    "1. Collect predictions and convert from the CSV output our model provides into a NumPy array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "42d1317f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-04-18T00:35:18.921378Z",
     "iopub.status.busy": "2022-04-18T00:35:18.920693Z",
     "iopub.status.idle": "2022-04-18T00:35:19.135882Z",
     "shell.execute_reply": "2022-04-18T00:35:19.135429Z"
    },
    "papermill": {
     "duration": 0.316118,
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    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def predict(data, rows=500):\n",
    "    split_array = np.array_split(data, int(data.shape[0] / float(rows) + 1))\n",
    "    predictions = \"\"\n",
    "    for array in split_array:\n",
    "        predictions = \",\".join([predictions, xgb_predictor.predict(array).decode(\"utf-8\")])\n",
    "\n",
    "    return np.fromstring(predictions[1:], sep=\",\")\n",
    "\n",
    "\n",
    "predictions = predict(test_data.to_numpy()[:, 1:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "745e08d2",
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    "execution": {
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    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1.35331511e-01 9.82077539e-01 1.02474750e-03 4.05021757e-03\n",
      " 3.92824411e-01 9.72177207e-01 9.91238415e-01 7.27955222e-01\n",
      " 8.88106227e-01 9.90995705e-01 9.52816725e-01 1.19172679e-02\n",
      " 3.58281261e-03 9.42603052e-01 9.89126205e-01 9.90786612e-01\n",
      " 9.89062250e-01 6.96188286e-02 9.03073490e-01 9.86119509e-01\n",
      " 9.62791502e-01 1.74614764e-03 5.25158504e-03 9.58006740e-01\n",
      " 9.41856503e-01 1.67768657e-01 9.90760803e-01 2.84090172e-03\n",
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      " 1.98116549e-03 9.55070615e-01 1.80402584e-03 2.31066555e-01\n",
      " 9.84024167e-01 2.06405832e-03 4.47656447e-03 9.76536214e-01\n",
      " 9.76774156e-01 2.38812685e-01 8.62769634e-02 9.92498100e-01\n",
      " 5.51647916e-02 1.81831885e-03 1.40864691e-02 6.51788637e-02\n",
      " 3.24071288e-01 9.69274342e-01 8.70716691e-01 2.77617481e-02\n",
      " 3.38171422e-03 9.86501753e-01 9.96587396e-01 2.11618710e-02\n",
      " 9.75571871e-01 9.65472043e-01 9.96151865e-01 9.69069004e-01\n",
      " 9.89180505e-01 2.63313879e-03 3.21035296e-01 1.08806137e-02\n",
      " 2.64573544e-02 9.37089503e-01 6.73267897e-03 2.58733481e-01\n",
      " 3.24417472e-01 9.28655446e-01 3.31248250e-03 8.90821934e-01\n",
      " 9.61377740e-01 2.71464825e-01 8.27060938e-02 4.50845510e-02\n",
      " 1.04574696e-03 2.53715012e-02 7.90762436e-03 5.23460889e-03\n",
      " 2.56178831e-03 1.91231240e-02 1.13130454e-02 7.38239754e-03\n",
      " 5.82699895e-01 9.73278880e-01 9.22638085e-03 8.47170115e-01\n",
      " 9.90330100e-01 3.55595469e-01 3.20115268e-01 1.39923133e-02\n",
      " 1.42177224e-01 6.04430676e-01 7.18148589e-01 5.39106596e-03\n",
      " 9.80735362e-01 7.37583041e-01 5.03236465e-02 1.64943077e-02\n",
      " 9.04652297e-01 9.81644273e-01 7.90716231e-01 9.85898018e-01\n",
      " 7.62424946e-01 9.84377503e-01 2.63425987e-03 4.38998500e-03\n",
      " 2.94039130e-01 4.28284109e-02 9.84231472e-01 5.86435676e-01\n",
      " 3.08436388e-03 9.39401984e-01 1.30047444e-02 1.97171748e-01\n",
      " 2.52563730e-02 8.10037076e-01 6.91544730e-03 9.95759904e-01\n",
      " 5.84239900e-01 6.48281515e-01 2.54428573e-03 4.74239998e-02\n",
      " 1.03579066e-03 1.68707268e-03 7.82937527e-01 9.83555257e-01\n",
      " 2.19112285e-03 1.72078947e-03 9.97695029e-01 9.94287312e-01\n",
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      " 9.97059226e-01 9.33740377e-01 9.48212445e-01 9.88600552e-01]\n"
     ]
    }
   ],
   "source": [
    "print(predictions)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b35e2bf7",
   "metadata": {
    "papermill": {
     "duration": 0.082945,
     "end_time": "2022-04-18T00:35:19.479949",
     "exception": false,
     "start_time": "2022-04-18T00:35:19.397004",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "There are many ways to compare the performance of a machine learning model, but let's start by simply by comparing actual to predicted values.  In this case, we're simply predicting whether the customer churned (`1`) or not (`0`), which produces a confusion matrix."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "d69d58f4",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-04-18T00:35:19.648504Z",
     "iopub.status.busy": "2022-04-18T00:35:19.647528Z",
     "iopub.status.idle": "2022-04-18T00:35:19.660924Z",
     "shell.execute_reply": "2022-04-18T00:35:19.661300Z"
    },
    "papermill": {
     "duration": 0.101661,
     "end_time": "2022-04-18T00:35:19.661437",
     "exception": false,
     "start_time": "2022-04-18T00:35:19.559776",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>predictions</th>\n",
       "      <th>0.0</th>\n",
       "      <th>1.0</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>actual</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>235</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>9</td>\n",
       "      <td>238</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "predictions  0.0  1.0\n",
       "actual               \n",
       "0            235   18\n",
       "1              9  238"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.crosstab(\n",
    "    index=test_data.iloc[:, 0],\n",
    "    columns=np.round(predictions),\n",
    "    rownames=[\"actual\"],\n",
    "    colnames=[\"predictions\"],\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "58cc9077",
   "metadata": {
    "papermill": {
     "duration": 0.079543,
     "end_time": "2022-04-18T00:35:19.819524",
     "exception": false,
     "start_time": "2022-04-18T00:35:19.739981",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "_Note, due to randomized elements of the algorithm, your results may differ slightly._\n",
    "\n",
    "Of the 48 churners, we've correctly predicted 39 of them (true positives). We also incorrectly predicted 4 customers would churn who then ended up not doing so (false positives).  There are also 9 customers who ended up churning, that we predicted would not (false negatives).\n",
    "\n",
    "An important point here is that because of the `np.round()` function above, we are using a simple threshold (or cutoff) of 0.5.  Our predictions from `xgboost` yield continuous values between 0 and 1, and we force them into the binary classes that we began with.  However, because a customer that churns is expected to cost the company more than proactively trying to retain a customer who we think might churn, we should consider lowering this cutoff.  That will almost certainly increase the number of false positives, but it can also be expected to increase the number of true positives and reduce the number of false negatives.\n",
    "\n",
    "To get a rough intuition here, let's look at the continuous values of our predictions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "2cc8123e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-04-18T00:35:19.990486Z",
     "iopub.status.busy": "2022-04-18T00:35:19.989418Z",
     "iopub.status.idle": "2022-04-18T00:35:20.133974Z",
     "shell.execute_reply": "2022-04-18T00:35:20.134407Z"
    },
    "papermill": {
     "duration": 0.235317,
     "end_time": "2022-04-18T00:35:20.134551",
     "exception": false,
     "start_time": "2022-04-18T00:35:19.899234",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(predictions)\n",
    "plt.xlabel(\"Predicted churn probability\")\n",
    "plt.ylabel(\"Number of customers\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "55ce4027",
   "metadata": {
    "papermill": {
     "duration": 0.080715,
     "end_time": "2022-04-18T00:35:20.294649",
     "exception": false,
     "start_time": "2022-04-18T00:35:20.213934",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "The continuous valued predictions coming from our model tend to skew toward 0 or 1, but there is sufficient mass between 0.1 and 0.9 that adjusting the cutoff should indeed shift a number of customers' predictions.  For example..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "dce5dca1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-04-18T00:35:20.463457Z",
     "iopub.status.busy": "2022-04-18T00:35:20.462520Z",
     "iopub.status.idle": "2022-04-18T00:35:20.476706Z",
     "shell.execute_reply": "2022-04-18T00:35:20.476296Z"
    },
    "papermill": {
     "duration": 0.101555,
     "end_time": "2022-04-18T00:35:20.476816",
     "exception": false,
     "start_time": "2022-04-18T00:35:20.375261",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>col_0</th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Churn?_True.</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>215</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3</td>\n",
       "      <td>244</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "col_0           0    1\n",
       "Churn?_True.          \n",
       "0             215   38\n",
       "1               3  244"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.crosstab(index=test_data.iloc[:, 0], columns=np.where(predictions > 0.3, 1, 0))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18f2c2f1",
   "metadata": {
    "papermill": {
     "duration": 0.081363,
     "end_time": "2022-04-18T00:35:20.638599",
     "exception": false,
     "start_time": "2022-04-18T00:35:20.557236",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "We can see that lowering the cutoff from 0.5 to 0.3 results in 1 more true positive, 3 more false positives, and 1 fewer false negative. The numbers are small overall here, but that's 6-10% of customers overall that are shifting because of a change to the cutoff.  Was this the right decision?  We may end up retaining 3 extra customers, but we also unnecessarily incentivized 5 more customers who would have stayed anyway.  Determining optimal cutoffs is a key step in properly applying machine learning in a real-world setting.  Let's discuss this more broadly and then apply a specific, hypothetical solution for our current problem.\n",
    "\n",
    "### Relative cost of errors\n",
    "\n",
    "Any practical binary classification problem is likely to produce a similarly sensitive cutoff. That by itself isn\u2019t a problem. After all, if the scores for two classes are really easy to separate, the problem probably isn\u2019t very hard to begin with and might even be solvable with deterministic rules instead of ML.\n",
    "\n",
    "More important, if we put an ML model into production, there are costs associated with the model erroneously assigning false positives and false negatives. We also need to look at similar costs associated with correct predictions of true positives and true negatives.  Because the choice of the cutoff affects all four of these statistics, we need to consider the relative costs to the business for each of these four outcomes for each prediction.\n",
    "\n",
    "#### Assigning costs\n",
    "\n",
    "What are the costs for our problem of mobile operator churn? The costs, of course, depend on the specific actions that the business takes. Let's make some assumptions here.\n",
    "\n",
    "First, assign the true negatives the cost of \\$0. Our model essentially correctly identified a happy customer in this case, and we don\u2019t need to do anything.\n",
    "\n",
    "False negatives are the most problematic, because they incorrectly predict that a churning customer will stay. We lose the customer and will have to pay all the costs of acquiring a replacement customer, including foregone revenue, advertising costs, administrative costs, point of sale costs, and likely a phone hardware subsidy. A quick search on the Internet reveals that such costs typically run in the hundreds of dollars so, for the purposes of this example, let's assume \\$500. This is the cost of false negatives.\n",
    "\n",
    "Finally, for customers that our model identifies as churning, let's assume a retention incentive in the amount of \\$100. If a provider offered a customer such a concession, they may think twice before leaving. This is the cost of both true positive and false positive outcomes. In the case of false positives (the customer is happy, but the model mistakenly predicted churn), we will \u201cwaste\u201d the \\$100 concession. We probably could have spent that \\$100 more effectively, but it's possible we increased the loyalty of an already loyal customer, so that\u2019s not so bad."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a51ea034",
   "metadata": {
    "papermill": {
     "duration": 0.081887,
     "end_time": "2022-04-18T00:35:20.801523",
     "exception": false,
     "start_time": "2022-04-18T00:35:20.719636",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "#### Finding the optimal cutoff\n",
    "\n",
    "It\u2019s clear that false negatives are substantially more costly than false positives. Instead of optimizing for error based on the number of customers, we should be minimizing a cost function that looks like this:\n",
    "\n",
    "```\n",
    "$500 * FN(C) + $0 * TN(C) + $100 * FP(C) + $100 * TP(C)\n",
    "```\n",
    "\n",
    "FN(C) means that the false negative percentage is a function of the cutoff, C, and similar for TN, FP, and TP.  We need to find the cutoff, C, where the result of the expression is smallest.\n",
    "\n",
    "A straightforward way to do this is to simply run a simulation over numerous possible cutoffs.  We test 100 possible values in the for-loop below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "324c9f5c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-04-18T00:35:20.977805Z",
     "iopub.status.busy": "2022-04-18T00:35:20.976715Z",
     "iopub.status.idle": "2022-04-18T00:35:21.878394Z",
     "shell.execute_reply": "2022-04-18T00:35:21.877795Z"
    },
    "papermill": {
     "duration": 0.994561,
     "end_time": "2022-04-18T00:35:21.878525",
     "exception": false,
     "start_time": "2022-04-18T00:35:20.883964",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cutoffs = np.arange(0.01, 1, 0.01)\n",
    "costs = []\n",
    "for c in cutoffs:\n",
    "    costs.append(\n",
    "        np.sum(\n",
    "            np.sum(\n",
    "                np.array([[0, 100], [500, 100]])\n",
    "                * pd.crosstab(index=test_data.iloc[:, 0], columns=np.where(predictions > c, 1, 0))\n",
    "            )\n",
    "        )\n",
    "    )\n",
    "\n",
    "costs = np.array(costs)\n",
    "plt.plot(cutoffs, costs)\n",
    "plt.xlabel(\"Cutoff\")\n",
    "plt.ylabel(\"Cost\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "ae213bd8",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-04-18T00:35:22.056327Z",
     "iopub.status.busy": "2022-04-18T00:35:22.055576Z",
     "iopub.status.idle": "2022-04-18T00:35:22.060108Z",
     "shell.execute_reply": "2022-04-18T00:35:22.059680Z"
    },
    "papermill": {
     "duration": 0.099359,
     "end_time": "2022-04-18T00:35:22.060220",
     "exception": false,
     "start_time": "2022-04-18T00:35:21.960861",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cost is minimized near a cutoff of: 0.37 for a cost of: 29200\n"
     ]
    }
   ],
   "source": [
    "print(\n",
    "    \"Cost is minimized near a cutoff of:\",\n",
    "    cutoffs[np.argmin(costs)],\n",
    "    \"for a cost of:\",\n",
    "    np.min(costs),\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "54e86315",
   "metadata": {
    "papermill": {
     "duration": 0.082158,
     "end_time": "2022-04-18T00:35:22.223905",
     "exception": false,
     "start_time": "2022-04-18T00:35:22.141747",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "The above chart shows how picking a threshold too low results in costs skyrocketing as all customers are given a retention incentive.  Meanwhile, setting the threshold too high results in too many lost customers, which ultimately grows to be nearly as costly.  The overall cost can be minimized at \\$8400 by setting the cutoff to 0.46, which is substantially better than the \\$20k+ we would expect to lose by not taking any action."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ce4a0e5b",
   "metadata": {
    "papermill": {
     "duration": 0.082441,
     "end_time": "2022-04-18T00:35:22.389043",
     "exception": false,
     "start_time": "2022-04-18T00:35:22.306602",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "---\n",
    "## Extensions\n",
    "\n",
    "This notebook showcased how to build a model that predicts whether a customer is likely to churn, and then how to optimally set a threshold that accounts for the cost of true positives, false positives, and false negatives.  There are several means of extending it including:\n",
    "- Some customers who receive retention incentives will still churn.  Including a probability of churning despite receiving an incentive in our cost function would provide a better ROI on our retention programs.\n",
    "- Customers who switch to a lower-priced plan or who deactivate a paid feature represent different kinds of churn that could be modeled separately.\n",
    "- Modeling the evolution of customer behavior. If usage is dropping and the number of calls placed to Customer Service is increasing, you are more likely to experience churn then if the trend is the opposite. A customer profile should incorporate behavior trends.\n",
    "- Actual training data and monetary cost assignments could be more complex.\n",
    "- Multiple models for each type of churn could be needed.\n",
    "\n",
    "Regardless of additional complexity, similar principles described in this notebook are likely applied."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ced6f363",
   "metadata": {
    "papermill": {
     "duration": 0.082292,
     "end_time": "2022-04-18T00:35:22.553701",
     "exception": false,
     "start_time": "2022-04-18T00:35:22.471409",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### (Optional) Clean-up\n",
    "\n",
    "If you're ready to be done with this notebook, please run the cell below.  This will remove the hosted endpoint you created and avoid any charges from a stray instance being left on."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "16febdfe",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-04-18T00:35:22.725752Z",
     "iopub.status.busy": "2022-04-18T00:35:22.725232Z",
     "iopub.status.idle": "2022-04-18T00:35:23.004118Z",
     "shell.execute_reply": "2022-04-18T00:35:23.003665Z"
    },
    "papermill": {
     "duration": 0.368496,
     "end_time": "2022-04-18T00:35:23.004249",
     "exception": false,
     "start_time": "2022-04-18T00:35:22.635753",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "xgb_predictor.delete_endpoint()"
   ]
  },
  {
   "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/introduction_to_applying_machine_learning|xgboost_customer_churn|xgboost_customer_churn_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/introduction_to_applying_machine_learning|xgboost_customer_churn|xgboost_customer_churn_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/introduction_to_applying_machine_learning|xgboost_customer_churn|xgboost_customer_churn_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/introduction_to_applying_machine_learning|xgboost_customer_churn|xgboost_customer_churn_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/introduction_to_applying_machine_learning|xgboost_customer_churn|xgboost_customer_churn_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/introduction_to_applying_machine_learning|xgboost_customer_churn|xgboost_customer_churn_outputs.ipynb)\n",
    "\n",
    "![This eu-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/eu-west-2/introduction_to_applying_machine_learning|xgboost_customer_churn|xgboost_customer_churn_outputs.ipynb)\n",
    "\n",
    "![This eu-west-3 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-3/introduction_to_applying_machine_learning|xgboost_customer_churn|xgboost_customer_churn_outputs.ipynb)\n",
    "\n",
    "![This eu-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/eu-central-1/introduction_to_applying_machine_learning|xgboost_customer_churn|xgboost_customer_churn_outputs.ipynb)\n",
    "\n",
    "![This eu-north-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-north-1/introduction_to_applying_machine_learning|xgboost_customer_churn|xgboost_customer_churn_outputs.ipynb)\n",
    "\n",
    "![This ap-southeast-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-southeast-1/introduction_to_applying_machine_learning|xgboost_customer_churn|xgboost_customer_churn_outputs.ipynb)\n",
    "\n",
    "![This ap-southeast-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-southeast-2/introduction_to_applying_machine_learning|xgboost_customer_churn|xgboost_customer_churn_outputs.ipynb)\n",
    "\n",
    "![This ap-northeast-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-northeast-1/introduction_to_applying_machine_learning|xgboost_customer_churn|xgboost_customer_churn_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/introduction_to_applying_machine_learning|xgboost_customer_churn|xgboost_customer_churn_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/introduction_to_applying_machine_learning|xgboost_customer_churn|xgboost_customer_churn_outputs.ipynb)\n"
   ]
  }
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  "celltoolbar": "Tags",
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  "kernelspec": {
   "display_name": "Python 3 (Data Science)",
   "language": "python",
   "name": "python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-east-1:000000000000:image/datascience-1.0"
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   "name": "python",
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   "pygments_lexer": "ipython3",
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  "notice": "Copyright 2017 Amazon.com, Inc. or its affiliates. All Rights Reserved.  Licensed under the Apache License, Version 2.0 (the \"License\"). You may not use this file except in compliance with the License. A copy of the License is located at http://aws.amazon.com/apache2.0/ or in the \"license\" file accompanying this file. This file is distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.",
  "papermill": {
   "default_parameters": {},
   "duration": 642.293397,
   "end_time": "2022-04-18T00:35:24.212364",
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   "input_path": "xgboost_customer_churn.ipynb",
   "output_path": "/opt/ml/processing/output/xgboost_customer_churn-2022-04-18-00-10-57.ipynb",
   "parameters": {
    "kms_key": "arn:aws:kms:us-west-2:000000000000:1234abcd-12ab-34cd-56ef-1234567890ab"
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