colab_example.ipynb

{
  "cells": [
    {
      "attachments": {},
      "cell_type": "markdown",
      "metadata": {
        "id": "CdawLr4P2dj4"
      },
      "source": [
        "## Meep (Python) installation guide - Colab ver."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5IenS5XP2dkE",
        "outputId": "5d5b8900-a7a8-4a7d-d589-803754cef3cb"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "⏬ Downloading https://github.com/conda-forge/miniforge/releases/download/23.1.0-1/Mambaforge-23.1.0-1-Linux-x86_64.sh...\n",
            "📦 Installing...\n",
            "📌 Adjusting configuration...\n",
            "🩹 Patching environment...\n",
            "⏲ Done in 0:00:14\n",
            "🔁 Restarting kernel...\n",
            "/usr/local/bin/conda\n",
            "Collecting package metadata (current_repodata.json): - \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\bdone\n",
            "Solving environment: - \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\bfailed with initial frozen solve. Retrying with flexible solve.\n",
            "Solving environment: | \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\bfailed with repodata from current_repodata.json, will retry with next repodata source.\n",
            "Collecting package metadata (repodata.json): - \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\bdone\n",
            "Solving environment: / \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\bdone\n",
            "\n",
            "## Package Plan ##\n",
            "\n",
            "  environment location: /usr/local\n",
            "\n",
            "  added / updated specs:\n",
            "    - pymeep\n",
            "\n",
            "\n",
            "The following packages will be downloaded:\n",
            "\n",
            "    package                    |            build\n",
            "    ---------------------------|-----------------\n",
            "    boltons-23.0.0             |     pyhd8ed1ab_0         296 KB  conda-forge\n",
            "    ca-certificates-2023.11.17 |       hbcca054_0         151 KB  conda-forge\n",
            "    cached-property-1.5.2      |       hd8ed1ab_1           4 KB  conda-forge\n",
            "    cached_property-1.5.2      |     pyha770c72_1          11 KB  conda-forge\n",
            "    certifi-2023.11.17         |     pyhd8ed1ab_0         155 KB  conda-forge\n",
            "    conda-23.3.1               |  py310hff52083_0         941 KB  conda-forge\n",
            "    cudatoolkit-11.8.0         |      h4ba93d1_12       682.8 MB  conda-forge\n",
            "    fftw-3.3.10                |nompi_hc118613_108         1.9 MB  conda-forge\n",
            "    gsl-2.7                    |       he838d99_0         3.2 MB  conda-forge\n",
            "    h5py-3.9.0                 |nompi_py310h367e799_100         1.1 MB  conda-forge\n",
            "    harminv-1.4.2              |       hc567f7b_0          44 KB  conda-forge\n",
            "    hdf5-1.14.0                |nompi_hb72d44e_103         3.4 MB  conda-forge\n",
            "    jsonpatch-1.33             |     pyhd8ed1ab_0          17 KB  conda-forge\n",
            "    jsonpointer-2.4            |  py310hff52083_3          16 KB  conda-forge\n",
            "    libaec-1.1.2               |       h59595ed_1          34 KB  conda-forge\n",
            "    libblas-3.9.0              |20_linux64_openblas          14 KB  conda-forge\n",
            "    libcblas-3.9.0             |20_linux64_openblas          14 KB  conda-forge\n",
            "    libctl-4.5.1               |       h7f98852_0         114 KB  conda-forge\n",
            "    libgdsii-0.21              |       h4bd325d_4          85 KB  conda-forge\n",
            "    libgfortran-ng-13.2.0      |       h69a702a_0          23 KB  conda-forge\n",
            "    libgfortran5-13.2.0        |       ha4646dd_0         1.4 MB  conda-forge\n",
            "    liblapack-3.9.0            |20_linux64_openblas          14 KB  conda-forge\n",
            "    libopenblas-0.3.25         |pthreads_h413a1c8_0         5.3 MB  conda-forge\n",
            "    mpb-1.11.1                 |nompi_h9d77c19_104          65 KB  conda-forge\n",
            "    numpy-1.26.2               |  py310hb13e2d6_0         6.6 MB  conda-forge\n",
            "    openssl-3.2.0              |       hd590300_1         2.7 MB  conda-forge\n",
            "    packaging-23.2             |     pyhd8ed1ab_0          48 KB  conda-forge\n",
            "    pymeep-1.27.0              |nompi_py310h1234567_101         1.6 MB  conda-forge\n",
            "    python_abi-3.10            |          4_cp310           6 KB  conda-forge\n",
            "    zlib-1.2.13                |       h166bdaf_4          92 KB  conda-forge\n",
            "    ------------------------------------------------------------\n",
            "                                           Total:       712.2 MB\n",
            "\n",
            "The following NEW packages will be INSTALLED:\n",
            "\n",
            "  boltons            conda-forge/noarch::boltons-23.0.0-pyhd8ed1ab_0 \n",
            "  cached-property    conda-forge/noarch::cached-property-1.5.2-hd8ed1ab_1 \n",
            "  cached_property    conda-forge/noarch::cached_property-1.5.2-pyha770c72_1 \n",
            "  cudatoolkit        conda-forge/linux-64::cudatoolkit-11.8.0-h4ba93d1_12 \n",
            "  fftw               conda-forge/linux-64::fftw-3.3.10-nompi_hc118613_108 \n",
            "  gsl                conda-forge/linux-64::gsl-2.7-he838d99_0 \n",
            "  h5py               conda-forge/linux-64::h5py-3.9.0-nompi_py310h367e799_100 \n",
            "  harminv            conda-forge/linux-64::harminv-1.4.2-hc567f7b_0 \n",
            "  hdf5               conda-forge/linux-64::hdf5-1.14.0-nompi_hb72d44e_103 \n",
            "  jsonpatch          conda-forge/noarch::jsonpatch-1.33-pyhd8ed1ab_0 \n",
            "  jsonpointer        conda-forge/linux-64::jsonpointer-2.4-py310hff52083_3 \n",
            "  libaec             conda-forge/linux-64::libaec-1.1.2-h59595ed_1 \n",
            "  libblas            conda-forge/linux-64::libblas-3.9.0-20_linux64_openblas \n",
            "  libcblas           conda-forge/linux-64::libcblas-3.9.0-20_linux64_openblas \n",
            "  libctl             conda-forge/linux-64::libctl-4.5.1-h7f98852_0 \n",
            "  libgdsii           conda-forge/linux-64::libgdsii-0.21-h4bd325d_4 \n",
            "  libgfortran-ng     conda-forge/linux-64::libgfortran-ng-13.2.0-h69a702a_0 \n",
            "  libgfortran5       conda-forge/linux-64::libgfortran5-13.2.0-ha4646dd_0 \n",
            "  liblapack          conda-forge/linux-64::liblapack-3.9.0-20_linux64_openblas \n",
            "  libopenblas        conda-forge/linux-64::libopenblas-0.3.25-pthreads_h413a1c8_0 \n",
            "  mpb                conda-forge/linux-64::mpb-1.11.1-nompi_h9d77c19_104 \n",
            "  numpy              conda-forge/linux-64::numpy-1.26.2-py310hb13e2d6_0 \n",
            "  packaging          conda-forge/noarch::packaging-23.2-pyhd8ed1ab_0 \n",
            "  pymeep             conda-forge/linux-64::pymeep-1.27.0-nompi_py310h1234567_101 \n",
            "  zlib               conda-forge/linux-64::zlib-1.2.13-h166bdaf_4 \n",
            "\n",
            "The following packages will be UPDATED:\n",
            "\n",
            "  ca-certificates                      2022.12.7-ha878542_0 --> 2023.11.17-hbcca054_0 \n",
            "  certifi                            2022.12.7-pyhd8ed1ab_0 --> 2023.11.17-pyhd8ed1ab_0 \n",
            "  conda                              23.1.0-py310hff52083_0 --> 23.3.1-py310hff52083_0 \n",
            "  openssl                                  3.1.0-h0b41bf4_0 --> 3.2.0-hd590300_1 \n",
            "  python_abi                                   3.10-3_cp310 --> 3.10-4_cp310 \n",
            "\n",
            "\n",
            "\n",
            "Downloading and Extracting Packages\n",
            "fftw-3.3.10          | 1.9 MB    | :   0% 0/1 [00:00<?, ?it/s]\n",
            "pymeep-1.27.0        | 1.6 MB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\n",
            "\n",
            "python_abi-3.10      | 6 KB      | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "liblapack-3.9.0      | 14 KB     | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "numpy-1.26.2         | 6.6 MB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "packaging-23.2       | 48 KB     | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "cached-property-1.5. | 4 KB      | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "boltons-23.0.0       | 296 KB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "zlib-1.2.13          | 92 KB     | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "conda-23.3.1         | 941 KB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "libaec-1.1.2         | 34 KB     | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "hdf5-1.14.0          | 3.4 MB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "certifi-2023.11.17   | 155 KB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "libgfortran-ng-13.2. | 23 KB     | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "libopenblas-0.3.25   | 5.3 MB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "libcblas-3.9.0       | 14 KB     | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "libctl-4.5.1         | 114 KB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "mpb-1.11.1           | 65 KB     | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "harminv-1.4.2        | 44 KB     | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            " ... (more hidden) ...\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "fftw-3.3.10          | 1.9 MB    | :   1% 0.008112027576140617/1 [00:00<00:19, 19.73s/it]\n",
            "\n",
            "\n",
            "\n",
            "numpy-1.26.2         | 6.6 MB    | :   0% 0.002366694324324949/1 [00:00<01:06, 66.79s/it]\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "python_abi-3.10      | 6 KB      | : 100% 1.0/1 [00:00<00:00,  6.37it/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "liblapack-3.9.0      | 14 KB     | : 100% 1.0/1 [00:00<00:00,  5.39it/s]\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "packaging-23.2       | 48 KB     | :  33% 0.33131117042788966/1 [00:00<00:00,  1.66it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "cached-property-1.5. | 4 KB      | : 100% 1.0/1 [00:00<00:00,  4.54it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "boltons-23.0.0       | 296 KB    | :   5% 0.054111360281125426/1 [00:00<00:04,  4.53s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "zlib-1.2.13          | 92 KB     | :  17% 0.1741144964346061/1 [00:00<00:01,  1.48s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "pymeep-1.27.0        | 1.6 MB    | :   1% 0.010061057798885694/1 [00:00<00:26, 26.91s/it]\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "numpy-1.26.2         | 6.6 MB    | :  31% 0.30767026216224336/1 [00:00<00:00,  1.42it/s] \u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "liblapack-3.9.0      | 14 KB     | : 100% 1.0/1 [00:00<00:00,  5.39it/s]\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "cached-property-1.5. | 4 KB      | : 100% 1.0/1 [00:00<00:00,  4.54it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "conda-23.3.1         | 941 KB    | :   2% 0.01699687325585979/1 [00:00<00:17, 17.74s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "packaging-23.2       | 48 KB     | : 100% 1.0/1 [00:00<00:00,  3.61it/s]                \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "packaging-23.2       | 48 KB     | : 100% 1.0/1 [00:00<00:00,  3.61it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "hdf5-1.14.0          | 3.4 MB    | :   0% 0.004561661219810038/1 [00:00<01:09, 69.56s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "libaec-1.1.2         | 34 KB     | :  47% 0.4650845918019757/1 [00:00<00:00,  1.41it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "numpy-1.26.2         | 6.6 MB    | :  58% 0.5774734151352876/1 [00:00<00:00,  1.93it/s] \u001b[A\u001b[A\u001b[A\u001b[A\n",
            "pymeep-1.27.0        | 1.6 MB    | :  44% 0.4426865431509705/1 [00:00<00:00,  1.49it/s]  \u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "certifi-2023.11.17   | 155 KB    | :  10% 0.1030835729430788/1 [00:00<00:03,  3.62s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "libopenblas-0.3.25   | 5.3 MB    | :   0% 0.0029546439432233717/1 [00:00<02:20, 140.42s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "hdf5-1.14.0          | 3.4 MB    | :  42% 0.4151111710027135/1 [00:00<00:00,  1.26it/s]  \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "libgfortran-ng-13.2. | 23 KB     | :  70% 0.7045366587830574/1 [00:00<00:00,  1.65it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "libcblas-3.9.0       | 14 KB     | : 100% 1.0/1 [00:00<00:00,  2.20it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "numpy-1.26.2         | 6.6 MB    | :  80% 0.7952092929731829/1 [00:00<00:00,  1.93it/s]\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "libctl-4.5.1         | 114 KB    | :  14% 0.14004256664928671/1 [00:00<00:02,  3.41s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "libopenblas-0.3.25   | 5.3 MB    | :  32% 0.3220561898113475/1 [00:00<00:00,  1.22s/it]    \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "hdf5-1.14.0          | 3.4 MB    | :  98% 0.9807571622591582/1 [00:00<00:00,  2.60it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "harminv-1.4.2        | 44 KB     | :  36% 0.3639837380312354/1 [00:00<00:00,  1.44s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "boltons-23.0.0       | 296 KB    | : 100% 1.0/1 [00:00<00:00,  2.02it/s]                 \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "boltons-23.0.0       | 296 KB    | : 100% 1.0/1 [00:00<00:00,  2.02it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            " ... (more hidden) ...\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "zlib-1.2.13          | 92 KB     | : 100% 1.0/1 [00:00<00:00,  1.68it/s]               \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "fftw-3.3.10          | 1.9 MB    | : 100% 1.0/1 [00:00<00:00,  1.55it/s]\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "mpb-1.11.1           | 65 KB     | :  25% 0.24621673203793035/1 [00:00<00:02,  2.77s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "libaec-1.1.2         | 34 KB     | : 100% 1.0/1 [00:00<00:00,  1.45it/s]               \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "libaec-1.1.2         | 34 KB     | : 100% 1.0/1 [00:00<00:00,  1.45it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "certifi-2023.11.17   | 155 KB    | : 100% 1.0/1 [00:00<00:00,  1.47it/s]               \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "certifi-2023.11.17   | 155 KB    | : 100% 1.0/1 [00:00<00:00,  1.47it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "pymeep-1.27.0        | 1.6 MB    | : 100% 1.0/1 [00:01<00:00,  1.02s/it]               \u001b[A\n",
            "pymeep-1.27.0        | 1.6 MB    | : 100% 1.0/1 [00:01<00:00,  1.02s/it]\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "libgfortran-ng-13.2. | 23 KB     | : 100% 1.0/1 [00:01<00:00,  1.22s/it]               \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "libgfortran-ng-13.2. | 23 KB     | : 100% 1.0/1 [00:01<00:00,  1.22s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "libcblas-3.9.0       | 14 KB     | : 100% 1.0/1 [00:01<00:00,  2.20it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "libctl-4.5.1         | 114 KB    | : 100% 1.0/1 [00:01<00:00,  1.13s/it]                \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "libctl-4.5.1         | 114 KB    | : 100% 1.0/1 [00:01<00:00,  1.13s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "harminv-1.4.2        | 44 KB     | : 100% 1.0/1 [00:01<00:00,  1.24s/it]               \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "harminv-1.4.2        | 44 KB     | : 100% 1.0/1 [00:01<00:00,  1.24s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "conda-23.3.1         | 941 KB    | : 100% 1.0/1 [00:01<00:00,  1.39s/it]                \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "conda-23.3.1         | 941 KB    | : 100% 1.0/1 [00:01<00:00,  1.39s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "hdf5-1.14.0          | 3.4 MB    | : 100% 1.0/1 [00:01<00:00,  2.60it/s]               \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            " ... (more hidden) ...\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "libopenblas-0.3.25   | 5.3 MB    | : 100% 1.0/1 [00:02<00:00,  2.45s/it]               \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "libopenblas-0.3.25   | 5.3 MB    | : 100% 1.0/1 [00:02<00:00,  2.45s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "mpb-1.11.1           | 65 KB     | : 100% 1.0/1 [00:05<00:00,  5.42s/it]                \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "mpb-1.11.1           | 65 KB     | : 100% 1.0/1 [00:05<00:00,  5.42s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "numpy-1.26.2         | 6.6 MB    | : 100% 1.0/1 [00:06<00:00,  1.93it/s]               \u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "                                                                        \n",
            "                                                                        \u001b[A\n",
            "\n",
            "                                                                        \u001b[A\u001b[A\n",
            "\n",
            "\n",
            "                                                                        \u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "                                                                        \u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "                                                                        \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "                                                                        \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "                                                                        \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "                                                                        \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "                                                                        \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "                                                                        \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "                                                                        \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "                                                                        \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "                                                                        \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "                                                                        \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "                                                                        \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "                                                                        \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "                                                                        \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "                                                                        \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\u001b[A\n",
            "\n",
            "\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "Preparing transaction: \\ \b\b| \b\b/ \b\bdone\n",
            "Verifying transaction: \\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\bdone\n",
            "Executing transaction: | \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- By downloading and using the CUDA Toolkit conda packages, you accept the terms and conditions of the CUDA End User License Agreement (EULA): https://docs.nvidia.com/cuda/eula/index.html\n",
            "\n",
            "\b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\bdone\n",
            "Collecting package metadata (current_repodata.json): - \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\bdone\n",
            "Solving environment: \\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\bdone\n",
            "\n",
            "\n",
            "==> WARNING: A newer version of conda exists. <==\n",
            "  current version: 23.3.1\n",
            "  latest version: 23.11.0\n",
            "\n",
            "Please update conda by running\n",
            "\n",
            "    $ conda update -n base -c conda-forge conda\n",
            "\n",
            "Or to minimize the number of packages updated during conda update use\n",
            "\n",
            "     conda install conda=23.11.0\n",
            "\n",
            "\n",
            "\n",
            "## Package Plan ##\n",
            "\n",
            "  environment location: /usr/local/envs/pmp\n",
            "\n",
            "  added / updated specs:\n",
            "    - pymeep[build=mpi_mpich_*]\n",
            "\n",
            "\n",
            "The following packages will be downloaded:\n",
            "\n",
            "    package                    |            build\n",
            "    ---------------------------|-----------------\n",
            "    brotli-1.1.0               |       hd590300_1          19 KB  conda-forge\n",
            "    brotli-bin-1.1.0           |       hd590300_1          19 KB  conda-forge\n",
            "    bzip2-1.0.8                |       hd590300_5         248 KB  conda-forge\n",
            "    c-ares-1.23.0              |       hd590300_0         150 KB  conda-forge\n",
            "    contourpy-1.2.0            |  py311h9547e67_0         250 KB  conda-forge\n",
            "    cycler-0.12.1              |     pyhd8ed1ab_0          13 KB  conda-forge\n",
            "    fftw-3.3.10                |mpi_mpich_h5537406_8         2.0 MB  conda-forge\n",
            "    fonttools-4.46.0           |  py311h459d7ec_0         2.7 MB  conda-forge\n",
            "    freetype-2.12.1            |       h267a509_2         620 KB  conda-forge\n",
            "    h5py-3.10.0                |mpi_mpich_py311hef8708c_0         1.2 MB  conda-forge\n",
            "    hdf5-1.14.2                |mpi_mpich_ha2c2bf8_0         3.7 MB  conda-forge\n",
            "    kiwisolver-1.4.5           |  py311h9547e67_1          72 KB  conda-forge\n",
            "    krb5-1.21.2                |       h659d440_0         1.3 MB  conda-forge\n",
            "    lcms2-2.16                 |       hb7c19ff_0         239 KB  conda-forge\n",
            "    lerc-4.0.0                 |       h27087fc_0         275 KB  conda-forge\n",
            "    libbrotlicommon-1.1.0      |       hd590300_1          68 KB  conda-forge\n",
            "    libbrotlidec-1.1.0         |       hd590300_1          32 KB  conda-forge\n",
            "    libbrotlienc-1.1.0         |       hd590300_1         276 KB  conda-forge\n",
            "    libcurl-8.5.0              |       hca28451_0         380 KB  conda-forge\n",
            "    libdeflate-1.19            |       hd590300_0          66 KB  conda-forge\n",
            "    libexpat-2.5.0             |       hcb278e6_1          76 KB  conda-forge\n",
            "    libgcc-ng-13.2.0           |       h807b86a_3         755 KB  conda-forge\n",
            "    libgfortran-ng-13.2.0      |       h69a702a_3          23 KB  conda-forge\n",
            "    libgfortran5-13.2.0        |       ha4646dd_3         1.4 MB  conda-forge\n",
            "    libgomp-13.2.0             |       h807b86a_3         412 KB  conda-forge\n",
            "    libjpeg-turbo-3.0.0        |       hd590300_1         604 KB  conda-forge\n",
            "    libnghttp2-1.58.0          |       h47da74e_0         617 KB  conda-forge\n",
            "    libnsl-2.0.1               |       hd590300_0          33 KB  conda-forge\n",
            "    libpng-1.6.39              |       h753d276_0         276 KB  conda-forge\n",
            "    libsqlite-3.44.2           |       h2797004_0         826 KB  conda-forge\n",
            "    libssh2-1.11.0             |       h0841786_0         265 KB  conda-forge\n",
            "    libstdcxx-ng-13.2.0        |       h7e041cc_3         3.7 MB  conda-forge\n",
            "    libtiff-4.6.0              |       ha9c0a0a_2         277 KB  conda-forge\n",
            "    libwebp-base-1.3.2         |       hd590300_0         392 KB  conda-forge\n",
            "    libxcb-1.15                |       h0b41bf4_0         375 KB  conda-forge\n",
            "    libzlib-1.2.13             |       hd590300_5          60 KB  conda-forge\n",
            "    matplotlib-base-3.8.2      |  py311h54ef318_0         7.6 MB  conda-forge\n",
            "    mpb-1.11.1                 |mpi_mpich_h5eb1b22_4          67 KB  conda-forge\n",
            "    mpi-1.0                    |            mpich           4 KB  conda-forge\n",
            "    mpi4py-3.1.5               |  py311he01e52e_0         554 KB  conda-forge\n",
            "    mpich-4.1.2                |     h846660c_100        24.5 MB  conda-forge\n",
            "    munkres-1.1.4              |     pyh9f0ad1d_0          12 KB  conda-forge\n",
            "    ncurses-6.4                |       h59595ed_2         864 KB  conda-forge\n",
            "    numpy-1.26.2               |  py311h64a7726_0         7.7 MB  conda-forge\n",
            "    openjpeg-2.5.0             |       h488ebb8_3         348 KB  conda-forge\n",
            "    pillow-10.1.0              |  py311ha6c5da5_0        44.3 MB  conda-forge\n",
            "    pip-23.3.1                 |     pyhd8ed1ab_0         1.3 MB  conda-forge\n",
            "    pthread-stubs-0.4          |    h36c2ea0_1001           5 KB  conda-forge\n",
            "    pymeep-1.28.0              |mpi_mpich_py311h1234567_2         1.7 MB  conda-forge\n",
            "    pyparsing-3.1.1            |     pyhd8ed1ab_0          87 KB  conda-forge\n",
            "    python-3.11.6              |hab00c5b_0_cpython        29.3 MB  conda-forge\n",
            "    python-dateutil-2.8.2      |     pyhd8ed1ab_0         240 KB  conda-forge\n",
            "    python_abi-3.11            |          4_cp311           6 KB  conda-forge\n",
            "    scipy-1.11.4               |  py311h64a7726_0        15.3 MB  conda-forge\n",
            "    setuptools-68.2.2          |     pyhd8ed1ab_0         454 KB  conda-forge\n",
            "    six-1.16.0                 |     pyh6c4a22f_0          14 KB  conda-forge\n",
            "    tk-8.6.13                  |noxft_h4845f30_101         3.2 MB  conda-forge\n",
            "    wheel-0.42.0               |     pyhd8ed1ab_0          56 KB  conda-forge\n",
            "    xorg-libxau-1.0.11         |       hd590300_0          14 KB  conda-forge\n",
            "    xorg-libxdmcp-1.1.3        |       h7f98852_0          19 KB  conda-forge\n",
            "    zlib-1.2.13                |       hd590300_5          91 KB  conda-forge\n",
            "    zstd-1.5.5                 |       hfc55251_0         532 KB  conda-forge\n",
            "    ------------------------------------------------------------\n",
            "                                           Total:       161.5 MB\n",
            "\n",
            "The following NEW packages will be INSTALLED:\n",
            "\n",
            "  _libgcc_mutex      conda-forge/linux-64::_libgcc_mutex-0.1-conda_forge \n",
            "  _openmp_mutex      conda-forge/linux-64::_openmp_mutex-4.5-2_gnu \n",
            "  brotli             conda-forge/linux-64::brotli-1.1.0-hd590300_1 \n",
            "  brotli-bin         conda-forge/linux-64::brotli-bin-1.1.0-hd590300_1 \n",
            "  bzip2              conda-forge/linux-64::bzip2-1.0.8-hd590300_5 \n",
            "  c-ares             conda-forge/linux-64::c-ares-1.23.0-hd590300_0 \n",
            "  ca-certificates    conda-forge/linux-64::ca-certificates-2023.11.17-hbcca054_0 \n",
            "  cached-property    conda-forge/noarch::cached-property-1.5.2-hd8ed1ab_1 \n",
            "  cached_property    conda-forge/noarch::cached_property-1.5.2-pyha770c72_1 \n",
            "  certifi            conda-forge/noarch::certifi-2023.11.17-pyhd8ed1ab_0 \n",
            "  contourpy          conda-forge/linux-64::contourpy-1.2.0-py311h9547e67_0 \n",
            "  cycler             conda-forge/noarch::cycler-0.12.1-pyhd8ed1ab_0 \n",
            "  fftw               conda-forge/linux-64::fftw-3.3.10-mpi_mpich_h5537406_8 \n",
            "  fonttools          conda-forge/linux-64::fonttools-4.46.0-py311h459d7ec_0 \n",
            "  freetype           conda-forge/linux-64::freetype-2.12.1-h267a509_2 \n",
            "  gsl                conda-forge/linux-64::gsl-2.7-he838d99_0 \n",
            "  h5py               conda-forge/linux-64::h5py-3.10.0-mpi_mpich_py311hef8708c_0 \n",
            "  harminv            conda-forge/linux-64::harminv-1.4.2-hc567f7b_0 \n",
            "  hdf5               conda-forge/linux-64::hdf5-1.14.2-mpi_mpich_ha2c2bf8_0 \n",
            "  keyutils           conda-forge/linux-64::keyutils-1.6.1-h166bdaf_0 \n",
            "  kiwisolver         conda-forge/linux-64::kiwisolver-1.4.5-py311h9547e67_1 \n",
            "  krb5               conda-forge/linux-64::krb5-1.21.2-h659d440_0 \n",
            "  lcms2              conda-forge/linux-64::lcms2-2.16-hb7c19ff_0 \n",
            "  ld_impl_linux-64   conda-forge/linux-64::ld_impl_linux-64-2.40-h41732ed_0 \n",
            "  lerc               conda-forge/linux-64::lerc-4.0.0-h27087fc_0 \n",
            "  libaec             conda-forge/linux-64::libaec-1.1.2-h59595ed_1 \n",
            "  libblas            conda-forge/linux-64::libblas-3.9.0-20_linux64_openblas \n",
            "  libbrotlicommon    conda-forge/linux-64::libbrotlicommon-1.1.0-hd590300_1 \n",
            "  libbrotlidec       conda-forge/linux-64::libbrotlidec-1.1.0-hd590300_1 \n",
            "  libbrotlienc       conda-forge/linux-64::libbrotlienc-1.1.0-hd590300_1 \n",
            "  libcblas           conda-forge/linux-64::libcblas-3.9.0-20_linux64_openblas \n",
            "  libctl             conda-forge/linux-64::libctl-4.5.1-h7f98852_0 \n",
            "  libcurl            conda-forge/linux-64::libcurl-8.5.0-hca28451_0 \n",
            "  libdeflate         conda-forge/linux-64::libdeflate-1.19-hd590300_0 \n",
            "  libedit            conda-forge/linux-64::libedit-3.1.20191231-he28a2e2_2 \n",
            "  libev              conda-forge/linux-64::libev-4.33-h516909a_1 \n",
            "  libexpat           conda-forge/linux-64::libexpat-2.5.0-hcb278e6_1 \n",
            "  libffi             conda-forge/linux-64::libffi-3.4.2-h7f98852_5 \n",
            "  libgcc-ng          conda-forge/linux-64::libgcc-ng-13.2.0-h807b86a_3 \n",
            "  libgdsii           conda-forge/linux-64::libgdsii-0.21-h4bd325d_4 \n",
            "  libgfortran-ng     conda-forge/linux-64::libgfortran-ng-13.2.0-h69a702a_3 \n",
            "  libgfortran5       conda-forge/linux-64::libgfortran5-13.2.0-ha4646dd_3 \n",
            "  libgomp            conda-forge/linux-64::libgomp-13.2.0-h807b86a_3 \n",
            "  libjpeg-turbo      conda-forge/linux-64::libjpeg-turbo-3.0.0-hd590300_1 \n",
            "  liblapack          conda-forge/linux-64::liblapack-3.9.0-20_linux64_openblas \n",
            "  libnghttp2         conda-forge/linux-64::libnghttp2-1.58.0-h47da74e_0 \n",
            "  libnsl             conda-forge/linux-64::libnsl-2.0.1-hd590300_0 \n",
            "  libopenblas        conda-forge/linux-64::libopenblas-0.3.25-pthreads_h413a1c8_0 \n",
            "  libpng             conda-forge/linux-64::libpng-1.6.39-h753d276_0 \n",
            "  libsqlite          conda-forge/linux-64::libsqlite-3.44.2-h2797004_0 \n",
            "  libssh2            conda-forge/linux-64::libssh2-1.11.0-h0841786_0 \n",
            "  libstdcxx-ng       conda-forge/linux-64::libstdcxx-ng-13.2.0-h7e041cc_3 \n",
            "  libtiff            conda-forge/linux-64::libtiff-4.6.0-ha9c0a0a_2 \n",
            "  libuuid            conda-forge/linux-64::libuuid-2.38.1-h0b41bf4_0 \n",
            "  libwebp-base       conda-forge/linux-64::libwebp-base-1.3.2-hd590300_0 \n",
            "  libxcb             conda-forge/linux-64::libxcb-1.15-h0b41bf4_0 \n",
            "  libzlib            conda-forge/linux-64::libzlib-1.2.13-hd590300_5 \n",
            "  matplotlib-base    conda-forge/linux-64::matplotlib-base-3.8.2-py311h54ef318_0 \n",
            "  mpb                conda-forge/linux-64::mpb-1.11.1-mpi_mpich_h5eb1b22_4 \n",
            "  mpi                conda-forge/linux-64::mpi-1.0-mpich \n",
            "  mpi4py             conda-forge/linux-64::mpi4py-3.1.5-py311he01e52e_0 \n",
            "  mpich              conda-forge/linux-64::mpich-4.1.2-h846660c_100 \n",
            "  munkres            conda-forge/noarch::munkres-1.1.4-pyh9f0ad1d_0 \n",
            "  ncurses            conda-forge/linux-64::ncurses-6.4-h59595ed_2 \n",
            "  numpy              conda-forge/linux-64::numpy-1.26.2-py311h64a7726_0 \n",
            "  openjpeg           conda-forge/linux-64::openjpeg-2.5.0-h488ebb8_3 \n",
            "  openssl            conda-forge/linux-64::openssl-3.2.0-hd590300_1 \n",
            "  packaging          conda-forge/noarch::packaging-23.2-pyhd8ed1ab_0 \n",
            "  pillow             conda-forge/linux-64::pillow-10.1.0-py311ha6c5da5_0 \n",
            "  pip                conda-forge/noarch::pip-23.3.1-pyhd8ed1ab_0 \n",
            "  pthread-stubs      conda-forge/linux-64::pthread-stubs-0.4-h36c2ea0_1001 \n",
            "  pymeep             conda-forge/linux-64::pymeep-1.28.0-mpi_mpich_py311h1234567_2 \n",
            "  pyparsing          conda-forge/noarch::pyparsing-3.1.1-pyhd8ed1ab_0 \n",
            "  python             conda-forge/linux-64::python-3.11.6-hab00c5b_0_cpython \n",
            "  python-dateutil    conda-forge/noarch::python-dateutil-2.8.2-pyhd8ed1ab_0 \n",
            "  python_abi         conda-forge/linux-64::python_abi-3.11-4_cp311 \n",
            "  readline           conda-forge/linux-64::readline-8.2-h8228510_1 \n",
            "  scipy              conda-forge/linux-64::scipy-1.11.4-py311h64a7726_0 \n",
            "  setuptools         conda-forge/noarch::setuptools-68.2.2-pyhd8ed1ab_0 \n",
            "  six                conda-forge/noarch::six-1.16.0-pyh6c4a22f_0 \n",
            "  tk                 conda-forge/linux-64::tk-8.6.13-noxft_h4845f30_101 \n",
            "  tzdata             conda-forge/noarch::tzdata-2023c-h71feb2d_0 \n",
            "  wheel              conda-forge/noarch::wheel-0.42.0-pyhd8ed1ab_0 \n",
            "  xorg-libxau        conda-forge/linux-64::xorg-libxau-1.0.11-hd590300_0 \n",
            "  xorg-libxdmcp      conda-forge/linux-64::xorg-libxdmcp-1.1.3-h7f98852_0 \n",
            "  xz                 conda-forge/linux-64::xz-5.2.6-h166bdaf_0 \n",
            "  zlib               conda-forge/linux-64::zlib-1.2.13-hd590300_5 \n",
            "  zstd               conda-forge/linux-64::zstd-1.5.5-hfc55251_0 \n",
            "\n",
            "\n",
            "\n",
            "Downloading and Extracting Packages\n",
            "libbrotlienc-1.1.0   | 276 KB    | :   0% 0/1 [00:00<?, ?it/s]\n",
            "ncurses-6.4          | 864 KB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\n",
            "\n",
            "libtiff-4.6.0        | 277 KB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "numpy-1.26.2         | 7.7 MB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "pyparsing-3.1.1      | 87 KB     | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "bzip2-1.0.8          | 248 KB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "libwebp-base-1.3.2   | 392 KB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "scipy-1.11.4         | 15.3 MB   | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "mpi4py-3.1.5         | 554 KB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "pillow-10.1.0        | 44.3 MB   | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "krb5-1.21.2          | 1.3 MB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "brotli-bin-1.1.0     | 19 KB     | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "libgcc-ng-13.2.0     | 755 KB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "python-3.11.6        | 29.3 MB   | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "munkres-1.1.4        | 12 KB     | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "kiwisolver-1.4.5     | 72 KB     | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "libsqlite-3.44.2     | 826 KB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "h5py-3.10.0          | 1.2 MB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "matplotlib-base-3.8. | 7.6 MB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "libbrotlienc-1.1.0   | 276 KB    | :   6% 0.05799173872569667/1 [00:00<00:02,  2.13s/it]\n",
            "\n",
            "libtiff-4.6.0        | 277 KB    | :   6% 0.05785351591466041/1 [00:00<00:02,  2.19s/it]\u001b[A\u001b[A\n",
            "ncurses-6.4          | 864 KB    | :   2% 0.01852484187627341/1 [00:00<00:07,  7.16s/it]\u001b[A\n",
            "\n",
            "\n",
            "numpy-1.26.2         | 7.7 MB    | :   0% 0.002017712620285056/1 [00:00<01:04, 65.03s/it]\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "pyparsing-3.1.1      | 87 KB     | :  18% 0.18301850962344032/1 [00:00<00:00,  1.38it/s]\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "libwebp-base-1.3.2   | 392 KB    | :   4% 0.04077346141403081/1 [00:00<00:04,  4.71s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "bzip2-1.0.8          | 248 KB    | :   6% 0.06444608776373964/1 [00:00<00:02,  3.08s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "scipy-1.11.4         | 15.3 MB   | :   0% 0.00102108995743942/1 [00:00<03:17, 197.44s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "libbrotlienc-1.1.0   | 276 KB    | : 100% 1.0/1 [00:00<00:00,  4.53it/s]\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "pillow-10.1.0        | 44.3 MB   | :   0% 0.0003530998792275138/1 [00:00<11:51, 711.44s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "pyparsing-3.1.1      | 87 KB     | : 100% 1.0/1 [00:00<00:00,  4.39it/s]                \u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "pyparsing-3.1.1      | 87 KB     | : 100% 1.0/1 [00:00<00:00,  4.39it/s]\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "krb5-1.21.2          | 1.3 MB    | :   1% 0.011948823678274422/1 [00:00<00:21, 21.69s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "mpi4py-3.1.5         | 554 KB    | :   3% 0.028881782829582675/1 [00:00<00:08,  9.13s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "scipy-1.11.4         | 15.3 MB   | :  11% 0.1123198953183362/1 [00:00<00:01,  2.19s/it]  \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "numpy-1.26.2         | 7.7 MB    | :  37% 0.3712591221324503/1 [00:00<00:00,  1.34it/s]\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "brotli-bin-1.1.0     | 19 KB     | :  86% 0.8632244467860907/1 [00:00<00:00,  2.50it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "pillow-10.1.0        | 44.3 MB   | :   3% 0.03495688804352387/1 [00:00<00:07,  8.18s/it]   \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "libgcc-ng-13.2.0     | 755 KB    | :   2% 0.02117810992090524/1 [00:00<00:17, 17.77s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "python-3.11.6        | 29.3 MB   | :   0% 0.0005333224828596424/1 [00:00<12:21, 742.00s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "libtiff-4.6.0        | 277 KB    | : 100% 1.0/1 [00:00<00:00,  2.66it/s]                \u001b[A\u001b[A\n",
            "\n",
            "libtiff-4.6.0        | 277 KB    | : 100% 1.0/1 [00:00<00:00,  2.66it/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "scipy-1.11.4         | 15.3 MB   | :  24% 0.23791396008338486/1 [00:00<00:01,  1.34s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "numpy-1.26.2         | 7.7 MB    | :  61% 0.611366923946372/1 [00:00<00:00,  1.71it/s] \u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "pillow-10.1.0        | 44.3 MB   | :   7% 0.07238547524164034/1 [00:00<00:04,  4.85s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "munkres-1.1.4        | 12 KB     | : 100% 1.0/1 [00:00<00:00,  2.12it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "python-3.11.6        | 29.3 MB   | :   7% 0.06666531035745529/1 [00:00<00:05,  5.68s/it]   \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "scipy-1.11.4         | 15.3 MB   | :  34% 0.3359385959975692/1 [00:00<00:00,  1.22s/it] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "kiwisolver-1.4.5     | 72 KB     | :  22% 0.2236021454014439/1 [00:00<00:01,  2.27s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "numpy-1.26.2         | 7.7 MB    | :  84% 0.8353330247980132/1 [00:00<00:00,  1.89it/s]\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "bzip2-1.0.8          | 248 KB    | : 100% 1.0/1 [00:00<00:00,  2.02it/s]                \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "bzip2-1.0.8          | 248 KB    | : 100% 1.0/1 [00:00<00:00,  2.02it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "libsqlite-3.44.2     | 826 KB    | :   2% 0.019370322641665584/1 [00:00<00:25, 25.52s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "pillow-10.1.0        | 44.3 MB   | :  10% 0.09992726582138642/1 [00:00<00:03,  4.42s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "python-3.11.6        | 29.3 MB   | :  13% 0.1258641059548756/1 [00:00<00:03,  3.45s/it] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "scipy-1.11.4         | 15.3 MB   | :  43% 0.4298788720819958/1 [00:00<00:00,  1.17s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "h5py-3.10.0          | 1.2 MB    | :   1% 0.013063130223876729/1 [00:00<00:45, 45.82s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "matplotlib-base-3.8. | 7.6 MB    | :   0% 0.002063876888937373/1 [00:00<04:49, 290.03s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "pillow-10.1.0        | 44.3 MB   | :  13% 0.12958765567649758/1 [00:00<00:03,  4.04s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "python-3.11.6        | 29.3 MB   | :  19% 0.19306273879519054/1 [00:00<00:02,  2.52s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "scipy-1.11.4         | 15.3 MB   | :  55% 0.5462831272300896/1 [00:00<00:00,  1.05s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "libwebp-base-1.3.2   | 392 KB    | : 100% 1.0/1 [00:00<00:00,  1.45it/s]                \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "libwebp-base-1.3.2   | 392 KB    | : 100% 1.0/1 [00:00<00:00,  1.45it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "matplotlib-base-3.8. | 7.6 MB    | :  19% 0.19194055067117569/1 [00:00<00:02,  2.73s/it]  \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "pillow-10.1.0        | 44.3 MB   | :  16% 0.15748254613547116/1 [00:00<00:03,  4.11s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            " ... (more hidden) ...\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "python-3.11.6        | 29.3 MB   | :  25% 0.24852827701259333/1 [00:00<00:01,  2.34s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "scipy-1.11.4         | 15.3 MB   | :  65% 0.6473710330165923/1 [00:00<00:00,  1.11s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "matplotlib-base-3.8. | 7.6 MB    | :  45% 0.4457974080104726/1 [00:00<00:00,  1.20s/it] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "pillow-10.1.0        | 44.3 MB   | :  18% 0.18431813695676222/1 [00:00<00:03,  4.10s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "python-3.11.6        | 29.3 MB   | :  30% 0.30186052529855756/1 [00:00<00:01,  2.36s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "scipy-1.11.4         | 15.3 MB   | :  74% 0.741311309101019/1 [00:00<00:00,  1.12s/it] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "matplotlib-base-3.8. | 7.6 MB    | :  62% 0.6212269435701493/1 [00:00<00:00,  1.01it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "pillow-10.1.0        | 44.3 MB   | :  22% 0.21892192512105857/1 [00:00<00:02,  3.66s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "mpi4py-3.1.5         | 554 KB    | : 100% 1.0/1 [00:01<00:00,  1.05it/s]                 \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "mpi4py-3.1.5         | 554 KB    | : 100% 1.0/1 [00:01<00:00,  1.05it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "python-3.11.6        | 29.3 MB   | :  37% 0.3674591906902936/1 [00:01<00:01,  2.05s/it] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "scipy-1.11.4         | 15.3 MB   | :  84% 0.836272675142885/1 [00:01<00:00,  1.11s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "matplotlib-base-3.8. | 7.6 MB    | :  79% 0.7884009715740765/1 [00:01<00:00,  1.16it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "pillow-10.1.0        | 44.3 MB   | :  25% 0.2517602138892174/1 [00:01<00:02,  3.46s/it] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "scipy-1.11.4         | 15.3 MB   | :  95% 0.9455293005889029/1 [00:01<00:00,  1.06s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "python-3.11.6        | 29.3 MB   | :  42% 0.42239140642483675/1 [00:01<00:01,  2.07s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "pillow-10.1.0        | 44.3 MB   | :  29% 0.294132199396519/1 [00:01<00:02,  3.09s/it] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "python-3.11.6        | 29.3 MB   | :  50% 0.4975898765080463/1 [00:01<00:00,  1.85s/it] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "pillow-10.1.0        | 44.3 MB   | :  33% 0.32838288768158785/1 [00:01<00:02,  3.04s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "pillow-10.1.0        | 44.3 MB   | :  37% 0.3675769742758419/1 [00:01<00:01,  2.89s/it] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "python-3.11.6        | 29.3 MB   | :  55% 0.554655382174028/1 [00:01<00:00,  1.99s/it] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "python-3.11.6        | 29.3 MB   | :  61% 0.6117208878400098/1 [00:01<00:00,  1.94s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "pillow-10.1.0        | 44.3 MB   | :  40% 0.40288696219859327/1 [00:01<00:01,  2.92s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "python-3.11.6        | 29.3 MB   | :  68% 0.6757195857831668/1 [00:01<00:00,  1.84s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "pillow-10.1.0        | 44.3 MB   | :  44% 0.4410217491551648/1 [00:01<00:01,  2.85s/it] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "krb5-1.21.2          | 1.3 MB    | : 100% 1.0/1 [00:01<00:00,  1.57s/it]                 \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "krb5-1.21.2          | 1.3 MB    | : 100% 1.0/1 [00:01<00:00,  1.57s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "python-3.11.6        | 29.3 MB   | :  73% 0.7317184464834293/1 [00:01<00:00,  1.86s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "pillow-10.1.0        | 44.3 MB   | :  48% 0.4766848369571437/1 [00:01<00:01,  3.03s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "brotli-bin-1.1.0     | 19 KB     | : 100% 1.0/1 [00:01<00:00,  2.50it/s]               \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "python-3.11.6        | 29.3 MB   | :  79% 0.7866506622179724/1 [00:01<00:00,  1.91s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "pillow-10.1.0        | 44.3 MB   | :  52% 0.5172913230683078/1 [00:01<00:01,  2.98s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "python-3.11.6        | 29.3 MB   | :  85% 0.8495827151954103/1 [00:01<00:00,  1.81s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "pillow-10.1.0        | 44.3 MB   | :  55% 0.5522482111118316/1 [00:01<00:01,  2.95s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "libgcc-ng-13.2.0     | 755 KB    | : 100% 1.0/1 [00:02<00:00,  1.92s/it]                \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "libgcc-ng-13.2.0     | 755 KB    | : 100% 1.0/1 [00:02<00:00,  1.92s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "python-3.11.6        | 29.3 MB   | :  91% 0.9055815758956727/1 [00:02<00:00,  1.92s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "pillow-10.1.0        | 44.3 MB   | :  59% 0.5864988993969005/1 [00:02<00:01,  3.07s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "munkres-1.1.4        | 12 KB     | : 100% 1.0/1 [00:02<00:00,  2.12it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "pillow-10.1.0        | 44.3 MB   | :  62% 0.6242805864742444/1 [00:02<00:01,  2.95s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "kiwisolver-1.4.5     | 72 KB     | : 100% 1.0/1 [00:02<00:00,  2.17s/it]               \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "kiwisolver-1.4.5     | 72 KB     | : 100% 1.0/1 [00:02<00:00,  2.17s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "python-3.11.6        | 29.3 MB   | :  96% 0.958913824181637/1 [00:02<00:00,  2.06s/it] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "pillow-10.1.0        | 44.3 MB   | :  66% 0.6588843746385409/1 [00:02<00:01,  2.96s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "pillow-10.1.0        | 44.3 MB   | :  70% 0.6994908607497049/1 [00:02<00:00,  2.83s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "pillow-10.1.0        | 44.3 MB   | :  75% 0.7517496428753769/1 [00:02<00:00,  2.49s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "pillow-10.1.0        | 44.3 MB   | :  79% 0.7927092288657686/1 [00:02<00:00,  2.48s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "pillow-10.1.0        | 44.3 MB   | :  85% 0.8467335103875782/1 [00:02<00:00,  2.27s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "pillow-10.1.0        | 44.3 MB   | :  89% 0.8912240951702449/1 [00:02<00:00,  2.27s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "pillow-10.1.0        | 44.3 MB   | :  94% 0.9445421769335995/1 [00:02<00:00,  2.15s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "pillow-10.1.0        | 44.3 MB   | : 100% 0.9975071588177266/1 [00:02<00:00,  2.07s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "ncurses-6.4          | 864 KB    | : 100% 1.0/1 [00:04<00:00,  4.22s/it]                \u001b[A\n",
            "ncurses-6.4          | 864 KB    | : 100% 1.0/1 [00:04<00:00,  4.22s/it]\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "libsqlite-3.44.2     | 826 KB    | : 100% 1.0/1 [00:04<00:00,  4.08s/it]                 \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "libsqlite-3.44.2     | 826 KB    | : 100% 1.0/1 [00:04<00:00,  4.08s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "h5py-3.10.0          | 1.2 MB    | : 100% 1.0/1 [00:04<00:00,  4.21s/it]                 \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "h5py-3.10.0          | 1.2 MB    | : 100% 1.0/1 [00:04<00:00,  4.21s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            " ... (more hidden) ...\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            " ... (more hidden) ...\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "numpy-1.26.2         | 7.7 MB    | : 100% 1.0/1 [00:04<00:00,  1.89it/s]               \u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "matplotlib-base-3.8. | 7.6 MB    | : 100% 1.0/1 [00:05<00:00,  8.85s/it]               \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "matplotlib-base-3.8. | 7.6 MB    | : 100% 1.0/1 [00:05<00:00,  8.85s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "scipy-1.11.4         | 15.3 MB   | : 100% 1.0/1 [00:06<00:00,  1.06s/it]               \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "python-3.11.6        | 29.3 MB   | : 100% 1.0/1 [00:10<00:00,  2.06s/it]              \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "pillow-10.1.0        | 44.3 MB   | : 100% 1.0/1 [00:11<00:00,  2.07s/it]               \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "                                                                        \n",
            "                                                                        \u001b[A\n",
            "\n",
            "                                                                        \u001b[A\u001b[A\n",
            "\n",
            "\n",
            "                                                                        \u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "                                                                        \u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "                                                                        \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "                                                                        \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "                                                                        \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "                                                                        \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "                                                                        \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "                                                                        \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "                                                                        \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "                                                                        \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "                                                                        \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "                                                                        \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "                                                                        \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "                                                                        \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "                                                                        \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "                                                                        \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\u001b[A\n",
            "\n",
            "\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\u001b[A\n",
            "\n",
            "\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\u001b[A\n",
            "\n",
            "\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "Preparing transaction: / \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\bdone\n",
            "Verifying transaction: | \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\bdone\n",
            "Executing transaction: | \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\bdone\n",
            "#\n",
            "# To activate this environment, use\n",
            "#\n",
            "#     $ conda activate pmp\n",
            "#\n",
            "# To deactivate an active environment, use\n",
            "#\n",
            "#     $ conda deactivate\n",
            "\n",
            "\n",
            "CommandNotFoundError: Your shell has not been properly configured to use 'conda activate'.\n",
            "To initialize your shell, run\n",
            "\n",
            "    $ conda init <SHELL_NAME>\n",
            "\n",
            "Currently supported shells are:\n",
            "  - bash\n",
            "  - fish\n",
            "  - tcsh\n",
            "  - xonsh\n",
            "  - zsh\n",
            "  - powershell\n",
            "\n",
            "See 'conda init --help' for more information and options.\n",
            "\n",
            "IMPORTANT: You may need to close and restart your shell after running 'conda init'.\n",
            "\n",
            "\n",
            "Collecting nlopt\n",
            "  Downloading nlopt-2.7.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (423 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m423.7/423.7 kB\u001b[0m \u001b[31m11.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: numpy>=1.14 in /usr/local/lib/python3.10/site-packages (from nlopt) (1.26.2)\n",
            "Installing collected packages: nlopt\n",
            "Successfully installed nlopt-2.7.1\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\u001b[33m\n",
            "\u001b[0mMeep installation complete. You can now run Meep in Python.\n"
          ]
        }
      ],
      "source": [
        "# install conda\n",
        "!pip install -q condacolab\n",
        "import condacolab\n",
        "condacolab.install()\n",
        "\n",
        "!which conda\n",
        "\n",
        "# install meep (python)\n",
        "!conda install -c conda-forge pymeep\n",
        "\n",
        "## Parallel Meep (MPI version)\n",
        "!conda create -n pmp -c conda-forge pymeep=*=mpi_mpich_*\n",
        "!conda activate pmp\n",
        "\n",
        "# Install Additional Packages \n",
        "!pip install nlopt\n",
        "\n",
        "print(\"Meep installation complete. You can now run Meep in Python.\")"
      ]
    },
    {
      "attachments": {},
      "cell_type": "markdown",
      "metadata": {
        "id": "gyaz-IUj2dkF"
      },
      "source": [
        "#### Meep example code for testing\n",
        "Soruce : https://github.com/NanoComp/meep/blob/master/python/examples/adjoint_optimization/01-Introduction.ipynb"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "AzVkB6Wc2dkF"
      },
      "outputs": [],
      "source": [
        "import meep as mp\n",
        "import meep.adjoint as mpa\n",
        "import numpy as np\n",
        "from autograd import numpy as npa\n",
        "from matplotlib import pyplot as plt\n",
        "\n",
        "def J(alpha):\n",
        "    return npa.abs(alpha) ** 2\n",
        "\n",
        "mp.verbosity(0)\n",
        "seed = 240\n",
        "np.random.seed(seed)\n",
        "Si = mp.Medium(index=3.4)\n",
        "SiO2 = mp.Medium(index=1.44)\n",
        "\n",
        "resolution = 20\n",
        "\n",
        "Sx = 6\n",
        "Sy = 5\n",
        "cell_size = mp.Vector3(Sx, Sy)\n",
        "\n",
        "pml_layers = [mp.PML(1.0)]\n",
        "\n",
        "fcen = 1 / 1.55\n",
        "width = 0.1\n",
        "fwidth = width * fcen\n",
        "source_center = [-1, 0, 0]\n",
        "source_size = mp.Vector3(0, 2, 0)\n",
        "kpoint = mp.Vector3(1, 0, 0)\n",
        "src = mp.GaussianSource(frequency=fcen, fwidth=fwidth)\n",
        "source = [\n",
        "    mp.EigenModeSource(\n",
        "        src,\n",
        "        eig_band=1,\n",
        "        direction=mp.NO_DIRECTION,\n",
        "        eig_kpoint=kpoint,\n",
        "        size=source_size,\n",
        "        center=source_center,\n",
        "    )\n",
        "]\n",
        "\n",
        "design_region_resolution = 10\n",
        "Nx = design_region_resolution + 1\n",
        "Ny = design_region_resolution + 1\n",
        "\n",
        "design_variables = mp.MaterialGrid(mp.Vector3(Nx, Ny), SiO2, Si, grid_type=\"U_MEAN\")\n",
        "design_region = mpa.DesignRegion(\n",
        "    design_variables, volume=mp.Volume(center=mp.Vector3(), size=mp.Vector3(1, 1, 0))\n",
        ")\n",
        "\n",
        "\n",
        "geometry = [\n",
        "    mp.Block(\n",
        "        center=mp.Vector3(x=-Sx / 4), material=Si, size=mp.Vector3(Sx / 2, 0.5, 0)\n",
        "    ),  # horizontal waveguide\n",
        "    mp.Block(\n",
        "        center=mp.Vector3(y=Sy / 4), material=Si, size=mp.Vector3(0.5, Sy / 2, 0)\n",
        "    ),  # vertical waveguide\n",
        "    mp.Block(\n",
        "        center=design_region.center, size=design_region.size, material=design_variables\n",
        "    ),  # design region\n",
        "    # mp.Block(center=design_region.center, size=design_region.size, material=design_variables,\n",
        "    #        e1=mp.Vector3(x=-1).rotate(mp.Vector3(z=1), np.pi/2), e2=mp.Vector3(y=1).rotate(mp.Vector3(z=1), np.pi/2))\n",
        "    #\n",
        "    # The commented lines above impose symmetry by overlapping design region with the same design variable. However,\n",
        "    # currently there is an issue of doing that; We give an alternative approach to impose symmetry in later tutorials.\n",
        "    # See https://github.com/NanoComp/meep/issues/1984 and https://github.com/NanoComp/meep/issues/2093\n",
        "]\n",
        "\n",
        "sim = mp.Simulation(\n",
        "    cell_size=cell_size,\n",
        "    boundary_layers=pml_layers,\n",
        "    geometry=geometry,\n",
        "    sources=source,\n",
        "    eps_averaging=False,\n",
        "    resolution=resolution,\n",
        ")\n",
        "\n",
        "TE0 = mpa.EigenmodeCoefficient(\n",
        "    sim, mp.Volume(center=mp.Vector3(0, 1, 0), size=mp.Vector3(x=2)), mode=1\n",
        ")\n",
        "ob_list = [TE0]\n",
        "\n",
        "opt = mpa.OptimizationProblem(\n",
        "    simulation=sim,\n",
        "    objective_functions=J,\n",
        "    objective_arguments=ob_list,\n",
        "    design_regions=[design_region],\n",
        "    fcen=fcen,\n",
        "    df=0,\n",
        "    nf=1,\n",
        ")\n",
        "\n",
        "x0 = np.random.rand(Nx * Ny)\n",
        "try :\n",
        "    opt.update_design([x0])\n",
        "\n",
        "except Exception as e:\n",
        "    print(e)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 484
        },
        "id": "8HjQYJ462dkG",
        "outputId": "ca51acc7-eda4-4919-df1e-ff019e321894"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.10/site-packages/meep/visualization.py:519: UserWarning: The frequency parameter of plot2D has been deprecated. Use the frequency key of the eps_parameters dictionary instead.\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "data": {
            "image/png": "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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "opt.plot2D(True, frequency=1 / 1.55)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "buAYOXsy2dkG",
        "outputId": "08662d65-b804-4d88-d3e3-4933e1996239"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Starting forward run...\n",
            "Starting adjoint run...\n",
            "Calculating gradient...\n"
          ]
        }
      ],
      "source": [
        "f0, dJ_du = opt()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 447
        },
        "id": "IYnWXB082dkG",
        "outputId": "6d2a266c-7b14-4d1b-ccfd-e8b111198808"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7cd0f7ac1ae0>"
            ]
          },
          "execution_count": 4,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": "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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.figure()\n",
        "plt.imshow(np.rot90(dJ_du.reshape(Nx, Ny)))"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    },
    "orig_nbformat": 4
  },
  "nbformat": 4,
  "nbformat_minor": 0
}