Main.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FsI1xGdBJewM"
      },
      "source": [
        "### **Introduction**\n",
        "\n",
        "Hello! Thanks for visiting our code. We describe our method in our GitHub page. Without that, the following code will probably seem like gibberish. So please, check it out [here](https://github.com/AthanasiosPetsanis/Diploma_Clone) if you haven't already.\n",
        "\n",
        "To see the code run, just hit  **\"Runtime\" --> \"Run all\"**\n",
        "\n",
        "If you want to change the settings and redo it, just hit **\"Runtime\" --> \"Disconnect and delete runtime\"** and then **\"Runtime\" --> \"Run all\"**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3ntAzNbRoyGa"
      },
      "source": [
        "### **Prerequisites**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bjkJiCwE8jYg"
      },
      "source": [
        "#### **MiniGrid**\n",
        "\n",
        "First we install the simulator (i.e. MiniGrid)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "31xClzqX8jwx",
        "outputId": "34a80931-3768-4c3c-c7e9-21d566bc157b"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting minigrid\n",
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            "  Downloading Farama_Notifications-0.0.4-py3-none-any.whl (2.5 kB)\n",
            "Installing collected packages: farama-notifications, gymnasium, minigrid\n",
            "Successfully installed farama-notifications-0.0.4 gymnasium-0.29.1 minigrid-2.3.1\n",
            "Cloning into 'rl-starter-files'...\n",
            "remote: Enumerating objects: 2720, done.\u001b[K\n",
            "remote: Counting objects: 100% (69/69), done.\u001b[K\n",
            "remote: Compressing objects: 100% (43/43), done.\u001b[K\n",
            "remote: Total 2720 (delta 33), reused 40 (delta 26), pack-reused 2651\u001b[K\n",
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            "Installing collected packages: tensorboardX, torch-ac\n",
            "Successfully installed tensorboardX-2.6.2.2 torch-ac-1.4.0\n"
          ]
        }
      ],
      "source": [
        "!pip install minigrid && \\\n",
        "cd /usr/local/lib/python3.10/dist-packages && \\\n",
        "git clone https://github.com/lcswillems/rl-starter-files.git && \\\n",
        "cd rl-starter-files && \\\n",
        "pip3 install -r requirements.txt"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "e7XOAuzyJOH_"
      },
      "source": [
        "#### **TextWorld**\n",
        "\n",
        "Now to install our decomposer (i.e. TextWorld)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qLmQOhScJScW",
        "outputId": "e6ebf3f6-3ddb-4508-efb2-4ec0a9c71c96"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting textworld\n",
            "  Downloading textworld-1.5.4.tar.gz (689 kB)\n",
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            "Building wheels for collected packages: textworld, jericho\n",
            "  Building wheel for textworld (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for textworld: filename=textworld-1.5.4-cp310-cp310-linux_x86_64.whl size=6711509 sha256=12189c805e129897cbb3cd2801130834683c9119777b2e22cdb1800aa5cddb1c\n",
            "  Stored in directory: /root/.cache/pip/wheels/1f/9d/bb/6459281133bc872eca4141056c01ac5041330592c3eaa6ab95\n",
            "  Building wheel for jericho (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for jericho: filename=jericho-3.1.2-py3-none-any.whl size=325097 sha256=92d0df75c6a5125499dbfdc651970a02086087bcee2b228b076e34109d3d0be8\n",
            "  Stored in directory: /root/.cache/pip/wheels/6b/1d/a7/91e11767b583fe77fae27d292e724d0dc8cd4335dab886adfe\n",
            "Successfully built textworld jericho\n",
            "Installing collected packages: tatsu, mementos, hashids, jericho, textworld\n",
            "Successfully installed hashids-1.3.1 jericho-3.1.2 mementos-1.3.1 tatsu-4.4.0 textworld-1.5.4\n"
          ]
        }
      ],
      "source": [
        "!pip install textworld"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fpIU7j4rIU09"
      },
      "source": [
        "#### **Install our files**\n",
        "\n",
        "Now we need to tweak TextWorld with our own implementation"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BsVR7WwNIl9-",
        "outputId": "1fef03b0-86ec-4a70-bb87-12b97221fd8d"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Cloning into 'DiplomaClone'...\n",
            "remote: Enumerating objects: 834, done.\u001b[K\n",
            "remote: Counting objects: 100% (150/150), done.\u001b[K\n",
            "remote: Compressing objects: 100% (114/114), done.\u001b[K\n",
            "remote: Total 834 (delta 41), reused 132 (delta 30), pack-reused 684\u001b[K\n",
            "Receiving objects: 100% (834/834), 15.25 MiB | 44.23 MiB/s, done.\n",
            "Resolving deltas: 100% (288/288), done.\n",
            "renamed 'DiplomaClone/TextWorld/Created_Games' -> 'textworld/Created_Games'\n",
            "renamed 'DiplomaClone/TextWorld/MyPy' -> 'textworld/MyPy'\n",
            "renamed 'DiplomaClone/TextWorld/tw_inform7.py' -> 'textworld/envs/wrappers/tw_inform7.py'\n"
          ]
        }
      ],
      "source": [
        "!cd /usr/local/lib/python3.10/dist-packages/ && \\\n",
        "git clone https://github.com/AthanasiosPetsanis/DiplomaClone.git && \\\n",
        "mv DiplomaClone/TextWorld/Created_Games textworld/ -v && \\\n",
        "mv DiplomaClone/TextWorld/MyPy textworld/ -v && \\\n",
        "mv DiplomaClone/TextWorld/tw_inform7.py textworld/envs/wrappers/ -v && \\\n",
        "sed -i '6c\\from collections.abc import Mapping' /usr/local/lib/python3.10/dist-packages/tatsu/grammars.py && \\\n",
        "sed -i '7i\\from collections import defaultdict' /usr/local/lib/python3.10/dist-packages/tatsu/grammars.py"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xWrFzMz8v0Qy"
      },
      "source": [
        "And MiniGrid with our own implementation"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qCDKrHFHv6OB",
        "outputId": "ecb65618-0ab9-4294-99d1-e8dcbe11c9a7"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "sending incremental file list\n",
            "./\n",
            "world_object.py\n",
            "\n",
            "sent 8,649 bytes  received 38 bytes  17,374.00 bytes/sec\n",
            "total size is 8,518  speedup is 0.98\n",
            "sending incremental file list\n",
            "./\n",
            "MyEnvs.py\n",
            "__init__.py\n",
            "\n",
            "sent 20,606 bytes  received 57 bytes  41,326.00 bytes/sec\n",
            "total size is 20,416  speedup is 0.99\n",
            "renamed 'DiplomaClone/MiniGrid/minigrid_env.py' -> 'minigrid/minigrid_env.py'\n",
            "renamed 'DiplomaClone/MiniGrid/__init__.py' -> 'minigrid/__init__.py'\n"
          ]
        }
      ],
      "source": [
        "!cd /usr/local/lib/python3.10/dist-packages/ && \\\n",
        "rsync -av --update DiplomaClone/MiniGrid/core/ minigrid/core/ && \\\n",
        "rsync -av --update DiplomaClone/MiniGrid/envs/ minigrid/envs/ && \\\n",
        "mv DiplomaClone/MiniGrid/minigrid_env.py minigrid/ -v && \\\n",
        "mv DiplomaClone/MiniGrid/__init__.py minigrid/ -v"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Or4uEka5JSye"
      },
      "source": [
        "#### **Import Libraries**\n",
        "\n",
        "\n",
        "After installation I also need to import my code. Importing the Q_agent.py code is enough since it consecutively imports the rest.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "id": "aCiJU7ejdINq"
      },
      "outputs": [],
      "source": [
        "# This imports all the necessary libraries from inside Q_agent.py\n",
        "from textworld.MyPy.Q_agent import *\n",
        "start = tic() # Start timer"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zDOc_bqlXCNG"
      },
      "source": [
        "### **Parameters**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QJkKvv5CXBJm",
        "outputId": "6da140b2-96f5-4a44-adb0-d465b8a43c54"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/ipykernel/ipkernel.py:283: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.\n",
            "  and should_run_async(code)\n"
          ]
        }
      ],
      "source": [
        "# env_names = ['Easy', 'Medium_2', 'Hard']\n",
        "env_names = ['Easy', 'Medium_2']\n",
        "# env_names = ['Hard']\n",
        "algo = 'ppo'\n",
        "graph_points = 300\n",
        "frames = graph_points * 2048\n",
        "recurrence = 8\n",
        "action_courses = {}\n",
        "user_inputs = {}"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "id": "iPHVdcos57By"
      },
      "outputs": [],
      "source": [
        "# The environments to be tested\n",
        "envs = []\n",
        "for env_name in env_names:\n",
        "    envs.append('Sparse_' + env_name)\n",
        "    envs.append('Dense_' + env_name)\n",
        "\n",
        "# Define user-command as putting the 'apple' on the 'table' in the 'livingroom' for all levels\n",
        "user_inputs['Easy'] = ['apple', 'livingroom', 'table']\n",
        "user_inputs['Easy_2'] = ['apple', 'livingroom', 'table']\n",
        "user_inputs['Medium'] = ['apple', 'livingroom', 'table']\n",
        "user_inputs['Medium_2'] = ['apple', 'livingroom', 'table']\n",
        "user_inputs['Hard'] = ['apple', 'livingroom', 'table']"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hBAyAu74RuCX"
      },
      "source": [
        "### **TextWorld Training**\n",
        "\n",
        "Here I train the high-level agent which takes as input the user-command and deduces the required sub-tasks to reach it for each level of difficulty."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "n_fcFv8INOsy",
        "outputId": "abd58699-4b93-445b-863e-397f73b55c4e"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/gym/envs/registration.py:440: UserWarning: \u001b[33mWARN: The `registry.env_specs` property along with `EnvSpecTree` is deprecated. Please use `registry` directly as a dictionary instead.\u001b[0m\n",
            "  logger.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/gym/core.py:317: DeprecationWarning: \u001b[33mWARN: Initializing wrapper in old step API which returns one bool instead of two. It is recommended to set `new_step_api=True` to use new step API. This will be the default behaviour in future.\u001b[0m\n",
            "  deprecation(\n",
            "/usr/local/lib/python3.10/dist-packages/gym/wrappers/step_api_compatibility.py:39: DeprecationWarning: \u001b[33mWARN: Initializing environment in old step API which returns one bool instead of two. It is recommended to set `new_step_api=True` to use new step API. This will be the default behaviour in future.\u001b[0m\n",
            "  deprecation(\n",
            "/usr/local/lib/python3.10/dist-packages/gym/utils/passive_env_checker.py:174: UserWarning: \u001b[33mWARN: Future gym versions will require that `Env.reset` can be passed a `seed` instead of using `Env.seed` for resetting the environment random number generator.\u001b[0m\n",
            "  logger.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/gym/utils/passive_env_checker.py:190: UserWarning: \u001b[33mWARN: Future gym versions will require that `Env.reset` can be passed `return_info` to return information from the environment resetting.\u001b[0m\n",
            "  logger.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/gym/utils/passive_env_checker.py:195: UserWarning: \u001b[33mWARN: Future gym versions will require that `Env.reset` can be passed `options` to allow the environment initialisation to be passed additional information.\u001b[0m\n",
            "  logger.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/gym/utils/passive_env_checker.py:167: UserWarning: \u001b[33mWARN: The obs returned by the `reset()` method is not within the observation space with exception: \u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space with exception: {e}\")\n",
            "/usr/local/lib/python3.10/dist-packages/gym/utils/passive_env_checker.py:227: DeprecationWarning: \u001b[33mWARN: Core environment is written in old step API which returns one bool instead of two. It is recommended to rewrite the environment with new step API. \u001b[0m\n",
            "  logger.deprecation(\n",
            "/usr/local/lib/python3.10/dist-packages/gym/utils/passive_env_checker.py:167: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space with exception: \u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space with exception: {e}\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "\n",
            "\n",
            "                    ________  ________  __    __  ________        \n",
            "                   |        \\|        \\|  \\  |  \\|        \\       \n",
            "                    \\$$$$$$$$| $$$$$$$$| $$  | $$ \\$$$$$$$$       \n",
            "                      | $$   | $$__     \\$$\\/  $$   | $$          \n",
            "                      | $$   | $$  \\     >$$  $$    | $$          \n",
            "                      | $$   | $$$$$    /  $$$$\\    | $$          \n",
            "                      | $$   | $$_____ |  $$ \\$$\\   | $$          \n",
            "                      | $$   | $$     \\| $$  | $$   | $$          \n",
            "                       \\$$    \\$$$$$$$$ \\$$   \\$$    \\$$          \n",
            "              __       __   ______   _______   __        _______  \n",
            "             |  \\  _  |  \\ /      \\ |       \\ |  \\      |       \\ \n",
            "             | $$ / \\ | $$|  $$$$$$\\| $$$$$$$\\| $$      | $$$$$$$\\\n",
            "             | $$/  $\\| $$| $$  | $$| $$__| $$| $$      | $$  | $$\n",
            "             | $$  $$$\\ $$| $$  | $$| $$    $$| $$      | $$  | $$\n",
            "             | $$ $$\\$$\\$$| $$  | $$| $$$$$$$\\| $$      | $$  | $$\n",
            "             | $$$$  \\$$$$| $$__/ $$| $$  | $$| $$_____ | $$__/ $$\n",
            "             | $$$    \\$$$ \\$$    $$| $$  | $$| $$     \\| $$    $$\n",
            "              \\$$      \\$$  \\$$$$$$  \\$$   \\$$ \\$$$$$$$$ \\$$$$$$$ \n",
            "\n",
            "\n",
            "\n",
            "-= Livingroom =-\n",
            "You arrive in a LivingRoom. A standard one. Let's see what's in here.\n",
            "\n",
            "You rest your hand against a wall, but you miss the wall and fall onto a table. The table is typical. Unfortunately, there isn't a thing on it. Hopefully, this discovery doesn't ruin your TextWorld experience!\n",
            "\n",
            "\n",
            "\n",
            "There is an apple on the floor.\n",
            "\n",
            "[array([134.99336446]), array([108.26279634, 149.99872   ]), array([0.])]\n",
            "Training detected [134.99336446] possible states\n",
            "Number of commands for each state: \n",
            "[(1,), (2,), (1,)]\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training took 0.0 minutes and 20.188190698623657 seconds\n",
            "S1: ['Livingroom', [], ['take apple']]\n",
            "S2: ['Livingroom', ['apple.'], ['drop apple', 'put apple on table']]\n",
            "S3: ['Livingroom', [], ['take apple from table']]\n",
            "Action taken in step 1: take apple\n",
            "Action taken in step 2: put apple on table\n",
            "Finished in 2 moves\n",
            "Actions taken:\n",
            "take apple > put apple on table > \n",
            "\n",
            "\n",
            "                    ________  ________  __    __  ________        \n",
            "                   |        \\|        \\|  \\  |  \\|        \\       \n",
            "                    \\$$$$$$$$| $$$$$$$$| $$  | $$ \\$$$$$$$$       \n",
            "                      | $$   | $$__     \\$$\\/  $$   | $$          \n",
            "                      | $$   | $$  \\     >$$  $$    | $$          \n",
            "                      | $$   | $$$$$    /  $$$$\\    | $$          \n",
            "                      | $$   | $$_____ |  $$ \\$$\\   | $$          \n",
            "                      | $$   | $$     \\| $$  | $$   | $$          \n",
            "                       \\$$    \\$$$$$$$$ \\$$   \\$$    \\$$          \n",
            "              __       __   ______   _______   __        _______  \n",
            "             |  \\  _  |  \\ /      \\ |       \\ |  \\      |       \\ \n",
            "             | $$ / \\ | $$|  $$$$$$\\| $$$$$$$\\| $$      | $$$$$$$\\\n",
            "             | $$/  $\\| $$| $$  | $$| $$__| $$| $$      | $$  | $$\n",
            "             | $$  $$$\\ $$| $$  | $$| $$    $$| $$      | $$  | $$\n",
            "             | $$ $$\\$$\\$$| $$  | $$| $$$$$$$\\| $$      | $$  | $$\n",
            "             | $$$$  \\$$$$| $$__/ $$| $$  | $$| $$_____ | $$__/ $$\n",
            "             | $$$    \\$$$ \\$$    $$| $$  | $$| $$     \\| $$    $$\n",
            "              \\$$      \\$$  \\$$$$$$  \\$$   \\$$ \\$$$$$$$$ \\$$$$$$$ \n",
            "\n",
            "\n",
            "\n",
            "-= Livingroom =-\n",
            "Well, here we are in a LivingRoom.\n",
            "\n",
            "You can see a table. However, the table, like an empty table, has nothing on it.\n",
            "\n",
            "There is a closed door leading east.\n",
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/gym/envs/registration.py:440: UserWarning: \u001b[33mWARN: The `registry.env_specs` property along with `EnvSpecTree` is deprecated. Please use `registry` directly as a dictionary instead.\u001b[0m\n",
            "  logger.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/gym/core.py:317: DeprecationWarning: \u001b[33mWARN: Initializing wrapper in old step API which returns one bool instead of two. It is recommended to set `new_step_api=True` to use new step API. This will be the default behaviour in future.\u001b[0m\n",
            "  deprecation(\n",
            "/usr/local/lib/python3.10/dist-packages/gym/wrappers/step_api_compatibility.py:39: DeprecationWarning: \u001b[33mWARN: Initializing environment in old step API which returns one bool instead of two. It is recommended to set `new_step_api=True` to use new step API. This will be the default behaviour in future.\u001b[0m\n",
            "  deprecation(\n",
            "/usr/local/lib/python3.10/dist-packages/gym/utils/passive_env_checker.py:174: UserWarning: \u001b[33mWARN: Future gym versions will require that `Env.reset` can be passed a `seed` instead of using `Env.seed` for resetting the environment random number generator.\u001b[0m\n",
            "  logger.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/gym/utils/passive_env_checker.py:190: UserWarning: \u001b[33mWARN: Future gym versions will require that `Env.reset` can be passed `return_info` to return information from the environment resetting.\u001b[0m\n",
            "  logger.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/gym/utils/passive_env_checker.py:195: UserWarning: \u001b[33mWARN: Future gym versions will require that `Env.reset` can be passed `options` to allow the environment initialisation to be passed additional information.\u001b[0m\n",
            "  logger.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/gym/utils/passive_env_checker.py:167: UserWarning: \u001b[33mWARN: The obs returned by the `reset()` method is not within the observation space with exception: \u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space with exception: {e}\")\n",
            "/usr/local/lib/python3.10/dist-packages/gym/utils/passive_env_checker.py:227: DeprecationWarning: \u001b[33mWARN: Core environment is written in old step API which returns one bool instead of two. It is recommended to rewrite the environment with new step API. \u001b[0m\n",
            "  logger.deprecation(\n",
            "/usr/local/lib/python3.10/dist-packages/gym/utils/passive_env_checker.py:167: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space with exception: \u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space with exception: {e}\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[array([68.02187847]), array([42.89866566, 75.83258781]), array([53.59656037, 65.39444902, 84.46430846]), array([58.85533827, 47.73070719]), array([64.59496136, 81.98517111, 81.59913461]), array([79.19040923, 71.85328811, 24.23393223, 73.60294972, 91.87224474]), array([69.59879908, 78.35103354, 79.96442205]), array([70.57628953, 76.67477812, 63.2417037 , 90.93595493]), array([69.60612406, 65.2731569 , 73.72082374, 89.56041538]), array([ 80.10040326,  80.46388013,  13.06620244, 103.09939201,\n",
            "        89.84236143]), array([102.56255806,  91.31564946,  48.1650874 ,  90.24112231,\n",
            "       116.52787639]), array([47.67659927, 58.85191423, 47.67005052]), array([52.97044819, 51.60549835]), array([69.67639744, 11.80015633, 89.47108331, 78.72374032]), array([ 82.6484934 ,  92.59195249,  81.94757908,  45.44800162,\n",
            "       104.69469091,  83.15028942]), array([77.32642485, 68.3205334 , 76.7810469 ]), array([ 89.5137165 ,  31.60047027,  99.71502905, 114.15953894]), array([ 85.99541095, 100.36351215]), array([73.76624233, 71.04435869, 73.10941243, 94.04004938]), array([0., 0., 0.]), array([ 89.98351321,  66.60589981, 101.45733607]), array([0., 0.])]\n",
            "Training detected [68.02187847] possible states\n",
            "Number of commands for each state: \n",
            "[(1,), (2,), (3,), (2,), (3,), (5,), (3,), (4,), (4,), (5,), (5,), (3,), (2,), (4,), (6,), (3,), (4,), (2,), (4,), (3,), (3,), (2,)]\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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La7WM28SJE/n11189js2ePZsBAwZw11130bVrV4xGI6tWreKiiy4CYOfOnWRnZ5OZmQlAZmYmjz76qNYKA2DlypVYLJZmyaAFKqNTAm+sPpe/dXke567n0fW/FfTe33KPwE0ybkIIEfaijAayHprSas8djGuvvZZ58+YB+L2zsq6ZM2eydOlS7r77bpYuXcrUqVO1NmBlZWWkp6drWTx36tKnBx54gCuuuILPPvuMzz//nPvvv593332XCy64IKjxNKfMzEyWL1/ucWzlypVaHNIaWi1wi4uLY9CgQR7HYmJi6Nixo3b8uuuuY/78+SQmJmKxWLjlllvIzMxkzJgxAEyePJmMjAyuuuoqnnjiCXJycrj33nuZO3duWKRJ+6bG8mnxBO5Ke5PE8gNw+BPoeqHXc7e7BW7lNsm4CSFEuNPpdAFPV7a2qVOnYrPZ0Ol0TJniGXT27t0bk8nEDz/8oK1Xq66uZtOmTR41Vq+44gruvfdeNm/ezAcffMBLL72k3XfyySeTk5NDREQEPXr08DmOfv360a9fP26//XYuv/xy3njjjRYJ3MrKytizZ4/2/b59+9i6dSuJiYl069aNBQsWcPjwYd566y0AbrrpJl544QX+8pe/cO211/L111/zn//8h88++6zZx+pLq+8qbcjTTz/N2WefzUUXXcS4ceNIS0vz2BFjMBhYtmwZBoOBzMxMrrzySmbNmsVDDz3UiqN2iTQa6JKUyDuFtf84dj7r89ysI5JxE0II0bwMBgPbt28nKyurXsP2mJgYbr75Zu68805WrFhBVlYWc+bMoaKiguuuu047r0ePHpx66qlcd9112O12zj33XO2+SZMmkZmZyfnnn8+XX37J/v37Wbt2LX/961/58ccfqaysZN68eaxevZoDBw7www8/sGnTJgYOHNgir//HH39k+PDh2k7a+fPnM3z4cK3+69GjR8nOztbO79mzJ5999hkrV65k6NCh/OMf/+DVV1+tF/S2pLD6VaFuajUyMpLFixc3mM7t3r17vTRmOBmYbuH/ts3g5pQP0ed9C8e3QodhHucUV1Zz2K0ESLmscRNCCNFMLBaLz/sef/xxHA4HV111FaWlpYwcOZIvvviCDh06eJw3c+ZM/vjHPzJr1iyPtV46nY7ly5fz17/+ldmzZ5Ofn09aWhrjxo0jNTUVg8HAsWPHmDVrFrm5uSQlJXHhhRfy4IMPNtvrdTd+/PgGd+R664owfvx4fvrpp2YcVWB0zmD2FJ9gDh06RNeuXTl48CBdunQJ6bX/tWYviz7fwQdDnmMkX0Kva2DMGx7nrP/9GJe9vF77/tKRXfnbxUMQQggRHqqqqti3bx89e/Zs8UoI7V1D731zfn6Hq7CeKj0RDExXfrNZkl+bSt6/FKryPM5xX98GUg5ECCGEEN5J4NbM1MDts5zu2DuMBIcNdv/L4xx1fVt6vPKbRIVsThBCCCGEFxK4NbPkODPJcWacTh3ZyXOUg7v/CXabds72HCVwG9FdWUNQbpWMmxBCCCHqk8CtBahZt/U1EyAqHapyIPt9AKrtDnbllgFwSo9EQDJuQgghhPBOArcWkFEbuP12tAr63Kwc3PksOJ38nl+OrcZBrDmCfqlKBwcpByKEEEIIbyRwawED05WAbPvREuh7I+jNULgJCtZpGxMGpscRa1aqs0jGTQghhBDeSODWAk7qpGTcduSU4jAlQ4+Zyh07/qG1uhqYbiHarBRDlDVuQgghhPBGArcW0KNjDOYIPRU2OwcKK2DAfOWOgx9xLCcLUAK3GJNk3IQQQgjhmwRuLSDCoGdAmjJdmnWkBBJOgvRpgJNRVqUfWoZbxq3G4cRW42it4QohhBAiTEng1kLUnaVasd2BdwBwTtwXJEaU0D8tjmijq2+cbFAQQgjRVvTo0YNnnnmmtYfRLkjg1kIyate5qWvaSJ1AadQgovVW5nVdRaTRQIRBjylC+Sspl+lSIYQQIXDNNdeg0+nq3aZOndraQxNBkMCthdTLuOl0rDdfA8DFcR+D3QpAjEnJulXIBgUhhBAhMnXqVI4ePepxe+edd1p7WCIIEri1EHWN29HiKo6XK10TPi06jSO2JCwcg/1vAxBdu0FBMm5CCCFCxWw2k5aW5nHr0KEDq1evxmQy8d1332nnPvHEE6SkpJCbmwvA+PHjmTdvHvPmzSM+Pp6kpCTuu+8+nE5na72cdk0CtxYSF2mkW2I04Mq6bTtayRsFtc3nd/wDnE5iajcoyBo3IYQIc04n1JS3zi1EQdP48eO57bbbuOqqqyguLuann37ivvvu49VXXyU1NVU778033yQiIoKNGzfy7LPP8tRTT/Hqq6+GZAwiMBGtPYD2JCPdQnZhBVlHSxjerQP7Csp5VzeFBd3eR1+cBUdXEGVSplQrrJJxE0KIsGavgP/Ets5zX1IGETF+n75s2TJiYz3Hes8993DPPffwyCOPsHLlSm644QZ+++03rr76as4991yPc7t27crTTz+NTqejf//+/Prrrzz99NPMmTMnJC9H+E8ybi1IXeeWdbSEnbmlOJxgju6Avk/tD/72f2hr3Mol4yaEECJEJkyYwNatWz1uN910EwAmk4m3336b//73v1RVVfH000/Xe/yYMWPQ6XTa95mZmezevRu7XZIMLU0ybi1I3Vm6/WipUs+N2mCu/61K79LcVfQ3zWYtCVKEVwghwp0hWsl8tdZzByAmJoY+ffr4vH/t2rUAFBYWUlhYSEyM/9k80bIk49aC1J6le/JK+eVQEVDbgD6mG3S7BIDpxqWAdE8QQoiwp9Mp05WtcXPLfjXV3r17uf3223nllVcYPXo0V199NQ6HZxH4DRs2eHy/fv16+vbti8FgQLQsCdxaUOeEKCyREVTbnazYlgO4snAM/DMAJ/Ml6cZ8KQcihBAiZKxWKzk5OR63goIC7HY7V155JVOmTGH27Nm88cYb/PLLL/zjH//weHx2djbz589n586dvPPOOzz//PPceuutrfRq2jeZKm1BOp2OgekWNuwrpKiiGnCteyNxBKROwJD7DdclfUyBbUwrjlQIIcSJZMWKFaSnp3sc69+/P1dccQUHDhxg2bJlAKSnp/Pyyy9z+eWXM3nyZIYOHQrArFmzqKysZNSoURgMBm699VZuuOGGFn8dQgK3FpfRSQncAEwRenolua0jGHgX5H7D5Ylf8Jz1jlYaoRBCiBPJkiVLWLJkic/7Fy5c6PH9hRdeiNVq9ThmNBp55plnePHFF71eY//+/U0dpvCTTJW2MC3DBvRPjSPC4PZXkD6ZfGMGMYYqTq56uxVGJ4QQQohwJoFbC8twC9zcvwZAp2N7ws0AjLW/oxRZFEIIIYSoJVOlLaxvaiwReh01Dqe2y9RdXodz2H/oMXqYj8KeV2GALP4UQgjRelavXt3aQxBuJOPWwswRBoZ3S0Cng5E9EuvdH2M28a/8i5Rvdvwd7LYWHqEQQgghwpUEbq3ghStO5r83n8qgzvH17os2R/Df4xM5Zu8IFYfgwNJWGKEQQghvpLF6y5P33JMEbq0g1RLJyd06eL0vxmTA5jTyftnFyoGsv4HT4fVcIYQQLcNoNAJQUVHRyiNpf9T3XP07aO9kjVuYiartVfre8WnclPQulOyAQ/+Drhe08siEEKL9MhgMJCQkkJeXB0B0dLRH704Rek6nk4qKCvLy8khISJAuDbUkcAszMSblryTfGgn95sK2xyDrcehyfkhbnAghhAhMWloagBa8iZaRkJCgvfdCArewE21WfqMot9Xg7PcndDuegmMbIW81pE5o3cEJIUQ7ptPpSE9PJyUlherq6tYeTrtgNBol01ZHqwZuL774Ii+++KJWcfmkk05i4cKFTJs2DYDx48ezZs0aj8fceOONvPTSS9r32dnZ3HzzzXzzzTfExsZy9dVXs2jRIiIi2mZMqmbcnE6oMiQR1es62L0Yti2SwE0IIcKAwWCQYEK0mlaNbrp06cLjjz9O3759cTqdvPnmm5x33nn89NNPnHTSSQDMmTOHhx56SHtMdHS09rXdbmfGjBmkpaWxdu1ajh49yqxZszAajTz22GMt/npCIcro+s+gwlZD1MA/w56XIGclHPsROo5sxdEJIYQQojW16q7Sc845h+nTp9O3b1/69evHo48+SmxsLOvXr9fOiY6OJi0tTbtZLK5uA19++SVZWVn8+9//ZtiwYUybNo2HH36YxYsXY7O1zfpner1OC94qbHaI7QndL1fu3PZoK45MCCGEEK0tbMqB2O123n33XcrLy8nMzNSOv/322yQlJTFo0CAWLFjgsRV73bp1DB48mNTUVO3YlClTKCkpYdu2bS06/lCKcVvnBsBJfwV0cOhjOP5Lq41LCCGEEK2r1ReC/frrr2RmZlJVVUVsbCwfffQRGRkZAFxxxRV0796dTp068csvv3DXXXexc+dOPvzwQwBycnI8gjZA+z4nJ8fnc1qtVqxWq/Z9aWlpqF9Wk0SbIgAb5Va7ciB+AHT7A2T/B7Y9Aqf9p1XHJ4QQQojW0eqBW//+/dm6dSvFxcV88MEHXH311axZs4aMjAxuuOEG7bzBgweTnp7OxIkT2bt3L7179w76ORctWsSDDz4YiuE3i+jaWm6VNrvr4KB7lcAt+wMo3g7xA1tpdEIIIYRoLa0+VWoymejTpw8jRoxg0aJFDB06lGeffdbruaNHjwZgz549gFJTJzc31+Mc9fuGar4sWLCA4uJi7ZaVlRWKlxIyauCmTZUCJAxWarnhlLVuQgghRDvV6oFbXQ6Hw2Ma093WrVsBSE9PByAzM5Nff/3VoxjiypUrsVgs2nSrN2azGYvFot3i4uJC9wJCIMasJEIr3AM3gEH3KX8eeAdKdrfwqIQQQgjR2lp1qnTBggVMmzaNbt26UVpaytKlS1m9ejVffPEFe/fuZenSpUyfPp2OHTvyyy+/cPvttzNu3DiGDBkCwOTJk8nIyOCqq67iiSeeICcnh3vvvZe5c+diNptb86U1iZZxs9o970g8GTrNgCOfQdYiGPN6K4xOCCGEEK2lVTNueXl5zJo1i/79+zNx4kQ2bdrEF198wVlnnYXJZOKrr75i8uTJDBgwgD//+c9cdNFFfPrpp9rjDQYDy5Ytw2AwkJmZyZVXXsmsWbM86r61RWoR3noZN3Bl3fa9BWX7WnBUQgghhGhtrZpxe+2113ze17Vr13pdE7zp3r07y5cvD+WwWp3aaL7CZq9/Z9JoSDtLKcib9TiM+lcLj04IIYQQrSXs1rgJ9zVuXgI3cGXdfn8Dyg+20KiEEEII0dokcAtDrjVuXqZKAVJOh5Tx4KiG7U+03MCEEEII0aokcAtDrjVuPjJu4Mq67XkFKo+2wKiEEEII0dokcAtD0WZ1jZuPjBtA6gRIHgsOK2x7vIVGJoQQQojWJIFbGIpuaHOCSqeDwbXdH/b8CyoOtcDIhBBCCNGaJHALQ9G1U6U+17ipUs+ElHG1WbdFLTAyIYQQQrQmCdzCkF9r3KA261Zbs27vK1B+oJlHJoQQQojWJIFbGFLXuJU3tMZNlXqGknlzVMNv0sNUCCGEOJFJ4BaG1DVulY1l3FRDarNuv78BZb8306iEEEII0dokcAtDMdoaNz8Dt+SxkD4FnDXw2yPNODIhhBBCtCYJ3MKQlnGrtmN3OP17kLrDdN9bULK7mUYmhBBCiNYkgVsYUltegRK8+SVpNHSaAU47/PZQM41MCCGEEK1JArcwZI7Qo9cpX1c0VhLEnbrW7cBSKN4e+oEJIYQQolVJ4BaGdDqdVsut0ZIg7hJPhi7ng9MhWTchhBDiBCSBW5jSGs37UxLE3eAHlD8PvAdFv4Z2UEIIIYRoVRK4hSl1nVtAGTeADkOh2x8AJ/x8b+gHJoQQQohWI4FbmNIyboGscVMNeRh0Bjj8CeSvDfHIhBBCCNFaJHALUwEX4XVn6Q+9rlG+/nkBOP0sKSKEEEKIsCaBW5jSGs0HE7gBDLof9GbI+xaOfhHCkQkhhBCitUjgFqZiavuVVgS6OUG7QFfoN0/5+ud7lJ2mQgghhGjTJHALU9GBtr3yJuNuiIiD4z9B9vshGpkQQgghWosEbmEqxtTEjBtAZBIMvFP5+ud7wVEdgpEJIYQQbdfixYvp0aMHkZGRjB49mo0bNzZ4/jPPPEP//v2Jioqia9eu3H777VRVVbXQaOuTwC1MRQVTgNebAbeBORnK9sDvbzR9YEIIIUQb9d577zF//nzuv/9+tmzZwtChQ5kyZQp5eXlez1+6dCl33303999/P9u3b+e1117jvffe45577mnhkbtI4BamQpJxAzDGwaDaem6/Pgg1lU0cmRBCCNE2PfXUU8yZM4fZs2eTkZHBSy+9RHR0NK+//rrX89euXcvYsWO54oor6NGjB5MnT+byyy9vNEvXnCRwC1PR5hCscVP1uRFiukPlEdj1QtOvJ4QQQoSR0tJSSkpKtJvVaq13js1mY/PmzUyaNEk7ptfrmTRpEuvWrfN63VNPPZXNmzdrgdrvv//O8uXLmT59evO8ED9I4BamQpZxAzCYYfCDytdZi8BW1PRrCiGEEGEiIyOD+Ph47bZo0aJ65xQUFGC320lNTfU4npqaSk5OjtfrXnHFFTz00EOcdtppGI1Gevfuzfjx42WqVNQXpQVuIci4AfS4EuIzwHYcsh4PzTWFEEKIMJCVlUVxcbF2W7BgQUiuu3r1ah577DH++c9/smXLFj788EM+++wzHn744ZBcPxgRrfbMokExTS3AW5feAEMfh2/PhR3PQN8/Qky30FxbCCGEaEVxcXFYLJYGz0lKSsJgMJCbm+txPDc3l7S0NK+Pue+++7jqqqu4/vrrARg8eDDl5eXccMMN/PWvf0Wvb/n8l2TcwlS0WoA3mF6lvnQ+G1LOAIdVGtALIYRoV0wmEyNGjGDVqlXaMYfDwapVq8jMzPT6mIqKinrBmcGgfD47W6mdpARuYSomVOVA3Ol0MPzvytf7/w2FP4Xu2kIIIUSYmz9/Pq+88gpvvvkm27dv5+abb6a8vJzZs2cDMGvWLI9p1nPOOYcXX3yRd999l3379rFy5Uruu+8+zjnnHC2Aa2kyVRqm1JZX5aHYnOCu40jofgUcWAo/3QFnfqUEdEIIIcQJ7tJLLyU/P5+FCxeSk5PDsGHDWLFihbZhITs72yPDdu+996LT6bj33ns5fPgwycnJnHPOOTz66KOt9RLQOVsr1xdGDh06RNeuXTl48CBdunRp7eEAcLiokrGPf40pQs+uR6aF9uJl+2FZf3DY4IzPoHPrbWsWQgghghWOn9/NrVWnSl988UWGDBmCxWLBYrGQmZnJ559/rt1fVVXF3Llz6dixI7GxsVx00UX1FhVmZ2czY8YMoqOjSUlJ4c4776SmJsRZqlaglgOx1Tiotoe4QXxsD+j/J+XrrX8BR9t/v4QQQoj2oFUDty5duvD444+zefNmfvzxR84880zOO+88tm3bBsDtt9/Op59+yvvvv8+aNWs4cuQIF154ofZ4u93OjBkzsNlsrF27ljfffJMlS5awcOHC1npJIaM2mYcQr3NTnXQPmDpA8Tb4fUnory+EEEKIkAu7qdLExESefPJJLr74YpKTk1m6dCkXX3wxADt27GDgwIGsW7eOMWPG8Pnnn3P22Wdz5MgRbX76pZde4q677iI/Px+TyeTXc4ZrqrXvX5dTbXeybsGZpMdHhf4JdjwNW+ZDVDqcsxsiYkL/HEIIIUQzCdfP7+YUNrtK7XY77777LuXl5WRmZrJ582aqq6s9WlMMGDCAbt26aa0p1q1bx+DBgz2qIE+ZMoWSkhIta+eN1Wr1aI1RWlrafC+sCaKMIS7CW1ffP0JMT6g8Ctv/0TzPIYQQQoiQafXA7ddffyU2Nhaz2cxNN93ERx99REZGBjk5OZhMJhISEjzOd29NkZOT47V1hXqfL4sWLfJojZGRkRHaFxUiMbX9SitC0a/UG4MZhtW2Bdn+BFT6fs+EEEII0fpaPXDr378/W7duZcOGDdx8881cffXVZGVlNetzLliwwKM1RnM/X7CiTc1UEsRdt0ug42ioKYdfpCivEEIIEc5aPXAzmUz06dOHESNGsGjRIoYOHcqzzz5LWloaNpuNoqIij/PdW1OkpaV5bV2h3ueL2WzWdrJaLBbi4uJC+6JCRMu4NWfgptPByU8pX+99XYryCiGEEGGs1QO3uhwOB1arlREjRmA0Gj1aU+zcuZPs7GytNUVmZia//voreXl52jkrV67EYrGE7fRnILSMW3NNlaqST4XulwNO2HwrhNd+FSGEEELUatXOCQsWLGDatGl069aN0tJSli5dyurVq/niiy+Ij4/nuuuuY/78+SQmJmKxWLjlllvIzMxkzJgxAEyePJmMjAyuuuoqnnjiCXJycrj33nuZO3cuZrO5NV9aSKglQSqba3OCu2F/g0MfQ/53cPAD6PaH5n9OIYQQQgSkVQO3vLw8Zs2axdGjR4mPj2fIkCF88cUXnHXWWQA8/fTT6PV6LrroIqxWK1OmTOGf//yn9niDwcCyZcu4+eabyczMJCYmhquvvpqHHnqotV5SSLXIGjdVTFcY+Bf47UH46U7odDZENEMJEiGEEEIErVUDt9dee63B+yMjI1m8eDGLFy/2eU737t1Zvnx5qIcWFpql0XxDMv4Cv78G5Qdgx1Mw6K8t87xCCCGE8EvYrXETLtFqo3lrC7WkiohWpkwBshZBxZGWeV4hhBBC+EUCtzCmTpU2lHGrCXUf0+6XQ8cxSnmQnxeE9tpCCCGEaBIJ3MJYtKnhciAL//cbQx78kte+34fDEaKdoDodjHhW+XrfW1CwMTTXFUIIIUSTSeAWxmK0zQneM26f/5ZDhc3Ow8uyuPyV9RwsrAjNEyeNgh5XKV9vuU3KgwghhBBhQgK3MBattbyqn3E7Xm4jv9SqnGcysGFfIVOf+ZZ3NmbjDEWgNWwRGKKhYB3sf9vjruLKan7cXxia52nD8kqreGvdfkqrqlt7KEIIIdoJCdzCmLqr1FvGbVduKQCdE6L4/NbTOaVHB8ptdhZ8+CvXLtlEbklV0548ujOcdI/y9U93QnWJdtd9H//GxS+tY+3eY017jjbun9/sZeH/tvHepoOtPRQhhBDthARuYUzdnOCtAO+uvDIA+qXG0r1jDO/ekMlfpw/EFKHnm535THv2OwrKrE0bwMA7ILYPVOXArw+6nrs2aNxTO4b26tDxito/K1t5JEIIIdoLCdzCWEMFeHfXBk/9UpU+qwa9jjnjevHZLafROSGKwnJb0zNiBjOMfE75euezULQNQAsImxwYtnEFZbbaP9v3+yCEEKLlSOAWxrQm8156lapZr761gZuqb2ocw7slAGhr4Jqk0zToch447bD5Fux2B4XlErCABLBCCCFangRuYazhjJtrqrSu5DilT2tIAjeAk58BQyTkfkPZ7rdRK4/kl9pCc/02yOl0agHbsbL2+z4IIYRoWRK4hTH3JvPuOziPlVk5Vpv16pPSAoFbbA/IUIrxRv92N9F6ZU3XsfL2m2mqsNmpqlaKH0vGTQghREuRwC2MqS2vahxObG4dEnbVZtu6JUZrwZ275NjawC2UAUXGXyC2F0bbEW5JeQ9o3wGL+2s/XlEd+g4WQgghhBcSuIWxaKNB+9p9ndsubWNC/WwbNEPGDZSp0tqOCtclfUwv8yEK2vFUaUGd6VF13Z8QQgjRnCRwC2MRBj3mCOWvyH2dm6+NCapmCdwAOp/NfvMETPoaHuj0Lyqrayj3Uhy4PaibbQxpdlMIIYTwocmBW2lVNV9sy2FPXmkoxiPq0HaWutVya2hjArgCt8JyK/ZQ9TCttcz4F6wOI+PifmJ6/A/tdmF+3cCtvb4PQgghWlbAgdvct7fw5tr9AFRV2zn3hR+Yt3QLU5/5js9/PRrq8bV7UbXTpWrg5nQ62VUbJPdN8Z5x6xhjRq8DhzP0Gwh2lafyYv7FACzs9DLHivJDev22om6g1p7X+wkhhGg5AQduG/YVckqPRAC+2JaD0+nkl/uncP+5J/H813tCPsD2LqZ2g4LarzS/zEpRRTV6nfcdpaAU402MaZ7p0vxSKy/m/YHfrZ1IMxaSuPfhkF6/rZCMmxBCiNYQcOBWWlVNQrQRgDU785k6KJ0ok4EzB6Sw/1h5yAfY3kXX6Ve6221HaaTb5oW6kmJNQOgDt4IyK1aniUdy5ynjKHgdjm0K6XO0BWqgZqpdgygZNyGEEF7t+z/4cix81AnKDyjHdjwDh/4X1OUCDtw6JUSxJfs4FbYa1uzKZ1zfJACKK6q1hfQidLSMW+3mhF11Wl350lwbFNRF+MXxZ/Dh8QnocMLGG8HRvjYpqO9D39qsZ91dpkIIIQS7X4Qt86HTdLAVKV2IAEwJSvAWhIAjrWvH9uC2d7cy5rFVpFgiGdOrIwAb9x2jf1rDwYQIXJTRc3NCwIFbCDNBthoHRRXVAAxIi+PRI9dRgQWO/wS7XgjZ87QFaoZN/ZmXjJsQQoh6dj4Po16BQX8FndssWeJIKP41qEvWr97aiKsyezC0awJHiqo4vW8Ser0OgG4do7ljcv+gBiF8UzNuatkNtfhuXx87SlXNkXFTNzpE6HX0SYnlmD2Bj5y3MFP3KPxyH3S7GKK7hOz5wpk6VTpAAjchhBC+lO+DxOH1j+vNUBPc8rKg5jaHdElg6qA0ok0GrRXTmQNSGVm7aUGEjrrGraK27ZXfGbfa7gmhnMJTg8COsSYtMPykdBokj4WaMvjxTyF7rnBmq3FQXKlmHi2AbE4QQgjhRUxPOL61/vGjK8AyMKhLBpxxA3hvUzavfb+P/QUVAPRIiubasT25bFS3oAYhfItxazSfW2KltKoGg15Hr+SYBh/nyrhVhWwsauCWHGcmSWurVQ2nvASfD4dDH8GhT6DLuSF7znCkdkmIcPt7OFZuxel0otPpWnNoQgghwsmA+bBpLtirACcUbIT970DWIhj1alCXDDhwe+rLnbz6/T6uPrUHJ3frAMCW7OM8vCyLI0WVzJfp0pCKVgvwWu1atq17x2jMEb53lELzTJWq04HJsa7AraDMCgmDYOAdkPU4/DgPUs8EY8NTuW2Z+j4kxpi096Ha7qSksob42h3XQgghBH2uB0MU/Hwv1FTA2isgqpPSQrLHZUFdMuDA7d8bsll04WDOG9ZZO3ZWRioD0uJ44JNtEriFWLTJVYBXDdz6NzJNCpDSDIGbe8ZNnYotqarBWmPHPOg+OPCeMp//y30w4umQPW+4UQO3pFgzkUYDcZERlFbVkF9mlcBNCCGEp54zlVtNhbKsKDKlSZcLeI1btd3BkC4J9Y4P7hxPTYjbKwnXVGmFrUar4earR6m75NhIQAmsqqrtjZztHzVwS4o1Y4mKwGhQpgWPldkgIhpGvaScuPNZKFgfkucMR+q6wY61tfLUrNsx2aAghBDCl4joJgdtEETgduHwzvx7/YF6x9/ZmM35blk4ERruBXjVVle+epS6s0RFYDKEtjisGrAkx5nR6XR0jHGbLgVInww9ZwFO2HAd2E/MQMZ9yhhcxY6llpsQQggP/+sJ/+vl+xaEoDYn/GfTQb7bnc/wrsoat60HizhSVMmFJ3fm4WVZ2nn3nZ0R1KCEi3s5EFdz+cYzbjqdjuQ4M4eLKskvtdKlQ3STx+I+VQqQFGcip6TKc0flyU8pu2WKs2DbIhjyQJOfN9yombWk2vdBDWBD3RdWCCFEG9f/Ns/vndVQ+JPyOTnwzqAuGXDgtjO3lJM6KyUQDhQqNUg6xBjpEGNkZ+0aLAAdsrsuFKJqM26/55dRZq0hQq+jR8eGd5SqktwCt1DId1vb5f6nR5Ffc0cY8Tz8cClkPabUdksYFJLnDxfaVGlM7VRpXG3GLcRdKoQQQrRxA271fnzXYij8MahLBhy4vXtDZlBPJIKjrnE7XtuxoGdSjNYfszHJ3gKrJiiok3GrN1Wq6vYHOLBU6cO24To4ay3oG94F25YU1Alg1fchX6ZKhRBC+KPTNNi6AMa8EfBDg24uur+gnDW78rWF72ohXhFa6ho3Vb8A2oqFsiRIpc1OaW33BvepUoCC0joBi04HIxeD0QLHNsKu55r8/OGk3uaEONmcIIQQIgDZH4A5uKYFAWfcjpfbmLt0C+t+P4YOWH3HBLp1jOYvH/xCfJSRe2VdW0ipa9xU/VJaJ3BTs0ymCD1xtbXlkmN9ZNwAojvD8L/DxhuU+jVdzoPY4BZihpu6GbdkbXOCBG5CCCHcfD4cPJaOOaEyB6z5cMo/g7pkwBm3h5dlEWHQs/buM4kyuoKKs4d2Ys2u/ICutWjRIk455RTi4uJISUnh/PPPZ+fOnR7njB8/Hp1O53G76aabPM7Jzs5mxowZREdHk5KSwp133klNTU2gLy0s1cu4+bGjVBXKwC3fbSel2h1AK4Pha1F+7+shZTzYK2DjjXACZGUdDqfWOUGbMtbeB5kqFUII4abL+UriQrtdCIPvh+m/QZ8bgrpkwBm3b3cX8Na1o0iPj/I43rNjDIeLKgO61po1a5g7dy6nnHIKNTU13HPPPUyePJmsrCxiYlwL8OfMmcNDDz2kfR8d7dohabfbmTFjBmlpaaxdu5ajR48ya9YsjEYjjz32WKAvL+yoBXhV/tRwU4VyjVvdHaXgmiqsN1Wq0ulg9CuwfDDkfAV7X1OqSLdhRZXV2GvrFSbGeNZxk80JQgghPAy+P+SXDDhwq7TVEGWqv9C8qNLm96J51YoVKzy+X7JkCSkpKWzevJlx48Zpx6Ojo0lLS/N6jS+//JKsrCy++uorUlNTGTZsGA8//DB33XUXDzzwACaTKaAxhRv3rKbJoKdHR//LeoQ041bqOT3o/nWDU4RxfWDII/DTHbBlPqSfBTHdmzye1qKuY0uINmKsrZOnBrDlNjuVNrvXfx9CCCHaieoS/881WgK+fMBTpaf0TOTDLYe073U6ZfroX2t+J7NXx4AH4K64uBiAxETPBXtvv/02SUlJDBo0iAULFlBRUaHdt27dOgYPHkxqaqp2bMqUKZSUlLBt2zavz2O1WikpKdFupaWlXs8LB3q9Tsu69UqOIcLg/1+Ze9urpm4e0YrOxtUP3AorbNTYHb4f3P82SDoVakph/XVtespUzV6qpUAA4swR2i8tss5NCCHaufcT4IMODd/Uc4IQcMZtwbSBzHx1Pb8cKqba7mTR59vZlVtGUUU1/705+FIhDoeD2267jbFjxzJokKvu1xVXXEH37t3p1KkTv/zyC3fddRc7d+7kww8/BCAnJ8cjaAO073Nycrw+16JFi3jwwQeDHmtLizZFUGGzBzRNCq7AylrjoNRagyUy+D6a3qZKE2NM6HXgcCrlStzv86A3KFuePx8Guatgz7+g703ezw1z6o5S98yjTqcjKcbEkeIqjpXb6JrY9GLHQggh2qiJ3zTr5QMO3PqnxfH1HeN5a+1+Ys0RlNtqmHpSGrMyu5NiiQx6IHPnzuW3337j+++/9zh+ww2uxXuDBw8mPT2diRMnsnfvXnr37h3Ucy1YsID58+dr3x8+fJiMjPDdDatm3PoHsDEBIMpkIM4cQam1hvxSa2gCt1hXpsmg15EYY6KgzEZBmdV34AZg6QdDF8GW25Rp0/TJbXKXad2uCaqkODNHiqtknZsQQrR3qWc06+WDanlliTQy78y+IRvEvHnzWLZsGd9++y1dunRp8NzRo0cDsGfPHnr37k1aWhobN270OCc3NxfA57o4s9mM2ez64C0pCWA+uhXERykBV/+0wOfCk+PMWuDWOzmwwM+dt6lSUIrPqoGbL0eKKln/+zHOGTIX46EPIe9bWH8tTPwadPWnfvcXlLMyK5crx3QPu/ViWimQGM+1k+rUqUyVCiGEqKemAsqzwVFnM1+HIQFfKqjALVScTie33HILH330EatXr6Znz56NPmbr1q0ApKenA5CZmcmjjz5KXl4eKSkpAKxcuRKLxRLWWbRA3DGlP9/uymd8/+SAH5sUZ+b3gvImb1DI9xG4JcWZ2JnbcMBy/yfbWJmVS5TRwLQxb8DyIZC3Bna9AP3/VO/8J7/cyWe/HKVDjImLRzQcyLe0Y16mSt2/l5IgQgghNFX5sH42HP3c+/2X2wO+ZNCdE0Jh7ty5/Pvf/2bp0qXExcWRk5NDTk4OlZVKWZG9e/fy8MMPs3nzZvbv388nn3zCrFmzGDduHEOGKFHq5MmTycjI4KqrruLnn3/miy++4N5772Xu3LkeWbW27Ix+ydx3doa2izEQaqDVlEyQ0+n0uqvU/XufJUGAXw4VAXCgsEKZHh32hHLH1ruhZHe98w8dV/7+Dx8PrLxMS1Dfx4513gf1+4YC5GNlVv5v3X5Kqqqbb4BCCCHCx+bboLoIJm8AQxSMXwFj3oS4vjDuk6Au2aqB24svvkhxcTHjx48nPT1du7333nsAmEwmvvrqKyZPnsyAAQP485//zEUXXcSnn36qXcNgMLBs2TIMBgOZmZlceeWVzJo1y6PuW3uW7EdA0Zhym52qamXXqM/AzUcR3sJyG7klyn3a+q++N0HqRLBXwvprwOH5G4d6XjhOO+ZrGTfPqVL1+4Yybs9/vYf7/reNt9dnN98AhRBChI/cr2H4U9BxJKBXymH1vFJJYGQtCuqSrT5V2pCuXbuyZs2aRq/TvXt3li9fHqphnVBCUctNfWyMyUCM2fNHprEivDtyXOsHtULAOj2MeQ0+GwwFa2HHPyDjL0Btdq/2vFDUnws1X5sTtMxmA2P+uTbzmFtS1TyDE0IIEV5qyiFSWcaFqYPS6op+kDAYCrcEdcmgMm4lVdXszS9jb36ZTPuEOS1wa0L2Spsm9bJrtLEivDtzXDXyPAKxmO4w4mnl61/uheNbASipqsFW42jwmq3F6XS6bU6ov0kDfLf/sjuc2nsh/2aEEKKdsPSHktpWnh2Gwu5/QcVh2P0SRKUHdcmAMm7vbszm1e/38Xt+mcfxXsmxzDm9J5ee0i2oQYjmE4qMW4Fbn9J6128kcNtx1EfgBtDrWji8DA59DGuvhCmbKChzTZuGW+BW4T5lHFdnqjRO3VXqPfN44Fg5FTbltZVWnRh9dIUQQjSi/61QdVT5evD98M1UOPA26E0wZklQl/Q7cPvXmr0889Vurhnbg3F9B5Fc+0GVX2rju935PPhpFsWV1dwwLrjaaqJ5hGKNm7fiuyptN6WPgMV9qrReIKbTwaiXoWAdFG+DnxeQ3+E+t/PDa4emOv4oo4FoU50p49qM2/HaLhJ1O1xkHXW9DyWVknETQoh2oeeVrq8TR8B5B6BkB0R3g8ikoC7pd+D21roDPPmHIZw9pJPH8T4pkNm7IwPTLSxavl0CtzCjBlvHym3YHU4Mel3A12gocOuoLcpX2mrpdK7r2x1OduW6srPHK6qx1Tg8e9pGJsPo12HNDNj5LM7uYwClQ0SZtYaqajuRxvCo5aZNk8bV73+bGGNCp1O6eRVW2EiJ8yxGvd09cJOMmxBCtA9530PKaa7vI6Ih8eQmXdLvNW4FZVYGpPluuTQgLY7CivDKkAhXQGF3ODke5N+PFrB4mSpVA7dqu5PiOpmk7MIKKqvtmCP0RNQGjF7XgHWeDn3/CMCQQ7cRb2hgerUVqRnAjjH13weDXkditO+NGllHJOMmhBDtztdnwv96wtZ7oDgrJJf0O3Ab2iWBf67e67WZuN3h5MU1exnSJSEkgxKhYzTotYAi2CCooYybOcKAJVJJ3NadCt1Rm2XqlxrXeL234U+CpT8x9lwe7bwYcHq9ZmtqKIB1P+4tOPWYKpXNCUII0T6cfwQG/FkpOv/ZIFg+DLKehIpDQV/S76nSB887iVmvb+SUR79iVM9Ej92EG/cVYjTo+b/rRgc9ENF8kuPMHCu3kV9qZWAQm1jyG9icAMpu05KqGvJLbfRJcR3fUbuLckBaHE6c5JRUkV9WBcTXv0hENGT+G/sXmZyd8D2rSkbxUdGZYbXOTV3Hl+xlqhRqs49eukgcK7NqtexAmQJ2OJzog5i2FkII0YZEJkH/ecqtbB/sXwr73oSfF0DKOKX1Y4D8zrgNTLfwzR3jmT+5PzHmCLILK8gurCDGHMGfJ/dn1Z/PoH8DU6mi9TR1Z2lBA+VAwFUao26mSd2YMCDd4t8miY4j+bjmegAe6vwiXYy5YZlx8zZVCr43amyv3VnbKV5Z9+Z0QplN1rkJIUS7EtsTMu6GYY8rddzyGq9T601A5UBizRFcNaY7V43pHtSTidahBU1BBEHuBXG9TZWCWymM0rqBmyvjtrM2iGssg/Zm8aV0i/yWU2KyeLbbk6wvGRPwmJuLa6rUe8Ytycf7nHW0GIBh3RI4tj0Pa42DkspqLJHGZhytEEKIsJH/A+x/G7I/AHsVdDkPhgbXOSFkLa+q7Q4OF4Vfb0nRtIxbcWU11XZlvVljAYt7UFZurSG7sAJQArckP8uS5JbWcHv2nyl3xjIiZgeDjz8T8Jibi7Y5wceUsbbDtk5wqm5MyEi3YIlSgrWSSsm4CSHECW/rAmVzwqozoTwbRjwLF+bAqf8HnaYGdcmQBW67c8s4/W+Bz9WK5teUwE3NMlkiIzBHeC/L4a17wq7cUpxO5bk7xpr9GoPD4eRYmY1D1al8GaP0mj3N9irkhMfPVWObE3wVI1anSjM6WYir3chRKhsUhBCiVSxevJgePXoQGRnJ6NGj2bhxY4PnFxUVMXfuXNLT0zGbzfTr18//Npt538LAO+H8wzB+GfS4XFnT3QSt2mRetIymBG55DewoVXnLuLlPk3qMoYHp2qLKamoctf1ru/+Bd45NRq9zwroroSo/4LGHml+bE/AM3Kqq7eyp7TQyMN2iTY9KLTchhGh57733HvPnz+f+++9ny5YtDB06lClTppCXl+f1fJvNxllnncX+/fv54IMP2LlzJ6+88gqdO3f27wkn/wD9/hh0sV1v/F7jNuO57xq8v6ra3uD9ovU0ZY1bQ6VAVN4Clp11AjdXORDfY1Cfq0O0kTRLFLOP3ECmZSc9OADrZ8MZnyrdFlqBrcah1akLZHPC7twy7A5n7WuKdJsqlYybEEK0tKeeeoo5c+Ywe/ZsAF566SU+++wzXn/9de6+++5657/++usUFhaydu1ajEbl/+8ePXq05JDr8TvjtjuvjAFpFs7KSPV6G92rY3OOUzRB06ZKlSDE1/Sg+33ugZvaKWBAmsXvMbhPRSbHmahyRvLnw3eB3gxHPoOdzwY8/lBRd8xG6HXER3nfVOC+xs3pVDKH6saEjE4WdDqdVvNOarkJIUTolJaWUlJSot2s1vqfNTabjc2bNzNp0iTtmF6vZ9KkSaxbt87rdT/55BMyMzOZO3cuqampDBo0iMceewy7vfWSVX5n3PqnxjGsW4LPHaXbjhTz7sbskA1MhI4aNBVXVmOtsftcq+aNPxk397VdasCiTpX2rzNVWtpAGyv351KDwc0l3age+iTGn/4EW/+i1L1pYruQYKhZtMQYk8/6a+qYbXYHJVU1xEcZXevb0pUANi5SNicIIUSoZWRkeHx///3388ADD3gcKygowG63k5qa6nE8NTWVHTt2eL3u77//ztdff83MmTNZvnw5e/bs4Y9//CPV1dXcf//9IX0N/vI7cBvRvQO/55f5vD/WHMGonokhGZQIrfgoI0aDjmq7k4IyG50Tovx+rD+Bm1oOpKraQbnNTllVDcWV1Rj0OvqkxAIQZ47AFKHHVuMgv9RK18T6izML3MqOuI85P+06OnX5Gg59DD9cBlO3gDHW79cQCvmNbEwAiDQaiDVHUGatoaDMSnyUUdtROrA2cLNEyeYEIYQItaysLI91Z2az7/+rA+FwOEhJSeHll1/GYDAwYsQIDh8+zJNPPhn+gdsD557U4P3dO8bw7g2ZTR6QCD2dTkdyrJkjxVUUlFoDCtwa20kJEG2KIMpooLLazrEyK78XlAPQKylGy6ypYzhcVEl+mffATQ0Sk2LN6HQ6OsaYySmpoqDcRqfRr0Hhj1C6GzbeCKf+u0XXu6kZN19FiFVJsSbKrDUcK7PRK8mpTRlndKoN3LTNCRK4CSFEqMTFxWGxWBo8JykpCYPBQG5ursfx3Nxc0tLSvD4mPT0do9GIweCaJRo4cCA5OTnYbDZMJu+b1eqx28CaB846bUNjuvn3eDeyq7SdCHadmz8ZN3ArwltmZcdRz2lSf8dQ97ncr4k5EU59B3QGOLAU9r4S0OtoKi2AjWn4H6n7er9DxysptdZgMujpnaxkCKWOmxBCtA6TycSIESNYtWqVdszhcLBq1SoyM70nnsaOHcuePXtwOFwB165du0hPT/cvaCvZDStPh/9Ewf+6wyc9ldv/eih/BkECt3bCn3Ic3jTWp1TlKrBr07okqNODdc/x1caq7nRkvcb0KafB0MeUr3/8ExRuCeSlNEljbb9U7jtst9VOk/ZLi8VoUP6pyeYEIYRoPfPnz+eVV17hzTffZPv27dx8882Ul5dru0xnzZrFggULtPNvvvlmCgsLufXWW9m1axefffYZjz32GHPnzvXvCddfAzo9nLEMpm5WlvpM3QLTflL+DEJALa9E2xVMxs3ucFJYrtYu8y9wKyiz1qvh5u8Y6mXcvJUxGXgH5H8Phz+F7/+g/OCbvDStD7Fjte9DR78zbjZtR+7ANFcAK1OlQgjRei699FLy8/NZuHAhOTk5DBs2jBUrVmgbFrKzs9HrXTmtrl278sUXX3D77bczZMgQOnfuzK233spdd93l3xMe36oEbPEDQvYaJHBrJ/xq8l7H8QobdocTnU7ZTdkQtR1WTnEVe/KUTSyBTpUW1Mnuec3Q6fQwZgmsOBnKfocN18JpHzT7ejd/1vqBqx1WQZmVvBLlMer6NnDfnCBTpUII0RrmzZvHvHnzvN63evXqescyMzNZv359cE8WnwHWguAe64NfU6Urs3KptjsaP1GErWAybuq5idEmbarPFzWg2bivkBqHkzhzRL1NEMleCvWq3LN76tq2JO38Oo3pzYkw9j+gN8LBD2Hnc36/pmC5+pQ2HMAma7XcrK6NCeleMm5SgFcIIU58w/6mlLLKXQ3WY1Bd4nkLgl+B243/96P2QdNrwWc+1yiJ8BXMGjf38hyNUQO3LdnHARiQHoeuThasoeDxWLkVhxP0OldnAvV8r90WkkbB8KeUr3+6AwqC/G3IT4Fm3Pbml3O4qBKAgR4ZN1fLK7XmnRBCiBPU15OUz6evJ8KHKfBBB+X2foLyZxD8mipNjDHzU3YRkzJScQKt03RINEVTMm6NBSvu56i9RutOk3qMwUvwqGX3YswYagvcNraZgX5zIf9byH4fvr9EWexpDn0HD0cQa/3U6eIuHaK0LBugNZm3O5xU2OzEmGW1ghBCnLAmfhPyS/r1qTFzdDfm/N+P6FCCtlMe/crnub8vmhGioYlQSo6NBJQAyel01suGeeNvKRCoP4U4IK1+PR33XaJ1x+BqrWWqf76vwE2ng9GvKos/S3fDD1fA+OWg978zhD+KKqux1wakja31q/s+ZNTZWRtlNBCh11HjcFJaVSOBmxBCnMhSzwj5Jf361Lj9rH6cM7QTB46Vc/1bP/LkxUO1sgaibVDXjVVW2ym32Yn1I2AIZqpUNTC9fsZNPcfbGLwFiWoQd7yimmq7w/s6O6MFTv8vfDEGcr6EX+6DYY81Ot5AqO9DQrTR77V+KveNCaAUIrZEGSkst1FSVU1afGRIxyqEECLM2Ipg72tQsl35Pv4k6HVt0BUR/I6++qTE0iclllsn9mXG4HSiTKHNaojmFW2K0Nox5Zda/QrcXFOljRcZrFvnrV9q/cAtxhxBjMlAuc1ebwzeArcO0SYMep22cSHV4iPISRgMo1+DtZdD1iLoOBK6XtjomP2lBm6NlQIBpU6byaDHVruZp24tO/WcwnKbbFAQQogT3bEf4ZspYIiCjqOUYzuegm2PwoQvg+q9HXAB3tsm9SPKZOBYmZVN+wvZtL+QY7JZoU1Qg6KPfzrsc62b0+nkhz0F3PR/m/n0l6MApMQ1nhWyRCkBCyjruuLc1nW5UwvY1p3+rFsKBECv12lTk42uzetxGQyYr3y97moo9t4wOBiuadzGM486nc5jurTuVCm4b1CQwE0IIU5oW26HLufCefth3IfK7dx90Ols2HxbUJcMeL6z0mZn4f9+46OfDmOv3RVn0Om48OTOPHjuIMnEhbGeSTHsKyjn2VW7ee7r3ZzcrQOTM1KZfFIaidEmPthyiLfXH9B6jQJk9urIGf2SG722GrAcLa7yur5NlRxr5sCxinqBmK/1dEmxZvJLrf7thh32N6WbQt5q+O58mLJRmUptIn+7JqiSYs0cLa4iLjKCLh3q94VVNyhI2yshhDjBFf4Io14BvVu4pY+AjL/AipFBXTLgwO2hZVls2FfIK1ePZGR3ZSvrj/uP88Cn23jksywevWBwUAMRze+Ji4fw3qaDfLkth58PFbP5wHE2HzjOos93aAvmAWLNEVwwvDNXjunudXeoL67AzfdjfO1u9bWDVavl5s9uWH0EnPYerBgBJTtxrJ3FvoFv0Su5fmmSQBwr969PqUrNuGWkW7w+r7rLtFQybkIIcWIzWqAiu37nhPKDYPT/89VdwIHbit+O8s+ZI8js7Sq7MGFACmajnnlLf5LALYwlxZqZO6EPcyf04WhxJV9l5fJlVi7r9h6jxuFkQFocV47pzvnDO/u1Bq6ufilx/Ha4hFN6JjY4BmhgqrROVivZrYWUXyJT4LT/wlenoz/8P/774y0Mnfo3ppyU5u/LqOeYVnzXv4ybOmZv69vAve2VZNyEEOKE1u1S2HAdDP87JJ2qHMv/AbbeCd0vD+qSAa9xq6y2kxxXP/OQFGum0mYP6FqLFi3ilFNOIS4ujpSUFM4//3x27tzpcU5VVRVz586lY8eOxMbGctFFF5Gbm+txTnZ2NjNmzCA6OpqUlBTuvPNOamrkQ7Eh6fFRXJXZg/+7bjSb7zuLb+4Yz+e3ns6VY7oHFbQBPHz+ID7646mM65vk8xyfGTcfgZuvNXENShoFIxcDcEfa/2HN/sz/x3pRXLuJICHa+7q9ui45pSun9u7I5aO6eb1fbXslmxOEEOIEN/zv0OVCWDcLPumh3NZfA10vVpb3BCHgwO3kbh14euVuqqpdQVpVtZ1nv9rNyd0TArrWmjVrmDt3LuvXr2flypVUV1czefJkystda6xuv/12Pv30U95//33WrFnDkSNHuPBC145Bu93OjBkzsNlsrF27ljfffJMlS5awcOHCQF9auxUfZaRnUkyTphNB2TU6vFuHBq/jLXCz1TgoqlCCGJ9TpYFugOlzPStt56HXOZl8/HYo2dn4Y3xQ+4rG+VkC55QeiSydM8bnNHOcNJoXQoj2wWCCkc/Cxcdh2lbldnEhjHgaDP7N4tQVcGrl/nNOYtbrG8hctEqbCtp+tARzhIG3rhsV0LVWrFjh8f2SJUtISUlh8+bNjBs3juLiYl577TWWLl3KmWeeCcAbb7zBwIEDWb9+PWPGjOHLL78kKyuLr776itTUVIYNG8bDDz/MXXfdxQMPPIDJ5N+6JNEyvE2VqmvIIvQ6EqKMjZ7vr2eLbiE+ZjejYrJgzbkwZT2YAm8xogZYFh87ZQNlkc0JQgjRvkREK6WrQnGpQB/QPy2O1XdM4OOth9lb29bn3KGdOH94ZyKNTdtRWlxcDEBiorJGavPmzVRXVzNp0iTtnAEDBtCtWzfWrVvHmDFjWLduHYMHDyY1NVU7Z8qUKdx8881s27aN4cOHN2lMIrS8ZdzcNybo9Z7ZOvduC4E6XqXj5vx7WHnSHSSW7oLvL4Pxn3nu7vGDK+MWosBNyoEIIcSJ69sLIXOJsjHh20Zqio77MODLB7WYKcpk8Ll+J1gOh4PbbruNsWPHMmjQIABycnIwmUwkJCR4nJuamkpOTo52jnvQpt6v3ueN1WrFanUFDqWlpaF6GaIR7v1K1bZXWgN3H2snIbiMW0llNaX2BJ6yPskj0TcqnRV+ulNJUQd4HXCtTWsq2ZwghBAnMFM8Wld3o0VpzxhCYdO3au7cufz22298//33zf5cixYt4sEHH2z25xH1qd0Hqu1OiiurSYg2uWq4edm1qQZ6hRU2auwOIhppOaVyOJyU2ZTAaFtlT5j4Fnx/Mex8RklX977Wr+s4nc5my7iVyuYEIYQ48Yx5w/V15pKQXz7gzQnNYd68eSxbtoxvvvmGLl26aMfT0tKw2WwUFRV5nJ+bm0taWpp2Tt1dpur36jl1LViwgOLiYu2WlZUVwlcjGhJpNGhrvNQsWkPN7BNjTOh14HQqwZu/ymw11NaHVgKvbhfB4AeUA5tuUrZj+8Fa49DaV4WqP69WgFemSoUQ4sS26kylV2ld1SXKfUFo1cDN6XQyb948PvroI77++mt69uzpcf+IESMwGo2sWrVKO7Zz506ys7PJzMwEIDMzk19//ZW8vDztnJUrV2KxWMjIyPD6vGazGYvFot3i4oIrgieCowZoebUBW0MtpQxuba8CWefmXmpD+3rQfdD1InBUw3cXQvmBxq9TG1zpdBBjCtFUaZRMlQohRLuQuxocXj677FWQ911Ql2zVqdK5c+eydOlS/ve//xEXF6etSYuPjycqKor4+Hiuu+465s+fT2JiIhaLhVtuuYXMzEzGjBkDwOTJk8nIyOCqq67iiSeeICcnh3vvvZe5c+diNge31VY0r6RYM3vzy7VMW0MZN/X8gjJbQOvcSt2CIu1rnR4y34TSPVD0M6w+Gyb/0GBbLHXnZ5w5ot7GiWCpmTtbjYOqanuTN/UIIYQIM8d/cX1dnAWVbmvunXY4ugKiOwd16aACt+LKaj7/9SgHCiu4cVwvEqJN/Ha4mKRYM2nxjTckV7344osAjB8/3uP4G2+8wTXXXAPA008/jV6v56KLLsJqtTJlyhT++c9/aucaDAaWLVvGzTffTGZmJjExMVx99dU89NBDwbw00QKS4zy7Ifhqd6VSjpcGFLi5Z9wqq+1U2x0YDXqIiIEzPoEvRkPxb/D9pXDGpz53mqptqUK1vg2UzJ1eBw6nktGTwE0IIU4wnw9Tpmp0Ou9TooYoGPl8UJcOOHDbfrSEK1/dQFxkBIeOV3L5Kd1IiDax4rccjhRV8tSlw/y+llNdhNSAyMhIFi9ezOLFi32e0717d5YvX+7384rWVbckiK92V6pgivCW1pmGLKuqoYPaazSmmxKsfTVO+a1n85+UTgtedv6o05mWqNAFbnq9jlhzBCVVNZRU1pAiM/VCCHFiOW+fsjj7k14wZSNEJrvu05vAnAL64H5pD3iN2yOfZXHxiC6svnMC5gjXwycMSGbDvsKgBiHaFzWzFshUKQTQr5T6C//rbQToOBJOXQroYPeLym5TL1wZt9CuKpBabkIIcQKL6Q6xPeAKh/J5E9PddYtKDzpogyAybr8cLOYxL43kUy2RWr9JIRqS7NZ/tKraTqlVyWr5nCpVzy8NPuNW93sAup4Pw5+En+6ALX+G2F7Q5TyPU9Q1bqHqmqBSrlfpfVxCCCFOLMVZUJ5df6NCl3MDvlTAgZspQu/1w2ZfQblWo0uIhrhPlarZNlOE3me5DS1DF+QaN2ggszVgvrJZYc9L8MMVcNa3kDhCu7tUa3cV6oybNJoXQogTXtnv8O0FUPSrshxHXSKmLs253O77sT4EPFU6aWAqz63aTXVtbSudDg4XVfL45zuYOsh73TQh3CW7BWJqMJYca/bZnN61xs3/qVI1i6d97yuzpdMpC0TTp4C9AtacA+UHtbu1PqUhXOMG7t0TJHATQogT1o+3QmxPuDAPDNEwYxtM+hYSR8LE1UFdMuDA7a9nD6TCZmfEwyupqnFw6b/WMf7Jb4gxR3DnlP5BDUK0L1o3hHIbeSVVgGs61Jtg2l6V1l3j1lBmSx8Bp/0H4gdB5VFYPQ1sx2uvo3ZNCG3GTd2lKo3mhRDiBHZsHQx+CCKTlJJUOj2knAZDFykb44IQ8KeRJdLIv68fzab9hew4WkK5zc6gTvGc1jcpqAGI9icxxoROB3aHk125ZYD3dlcq90DP4XD6VU+tbkDU6Foyo0VpQP9lJhRvg2/PhwlfuPqUhnqNW5R0TxBCiBOeww7G2tIB5iSoPAKW/somhZKdQV0y6DTCKT0SOaVHYrAPF+2Y0aCnQ7SJwnIb24+WAL53lAJa5wS7w8nxChsdGwjyVGpAFGnUU1Xt8G8TQEw3GP85fHU65H0La6+irOoOoBl2ldYGgnUzg0IIIU4gCYPg+M/KdGnH0ZD1hFIOZM/Lyoa4IAT8afTGD/u8HtcBZqOB7h2jGd2zI4YQVZkXJ6bkWLNn4Bbre2OLEugZOV5RTUGZv4GbEqh1Soji9/xy/zNbHYbAuI/hmylw8AMudOr4ilmhX+MWJVOlQghxwjvpXrCXK18PeQjWnA0rTwdzRxj7XlCXDDhwe+37fRSW26isthNf++FTXFlNlNFAtCmCY+VWuiVG886cMXRKiApqUOLElxxnZmduKfuPVWjfNyQp1lwbuFnpT+MVa9VMVufawC2gzFbqBBjzFqy9nOnm95mTFEdc5Gj/H+8HizSaF0KIE1+nKa6v4/rA2TvAWgimDl6Lvvsj4M0Jd07pz5Au8ay+YzxbF05m68LJfPPn8QzrmsD952Sw9u4zSY418/CyrKAGJNqHpDoZNn8CN/B/g4KayerSQfnlIeB6aT0ug+H/AOCvnV6nW8nHgT2+Ea7NCRK4CSHECclRDe9EQNFvnsfNiUEHbRBE4PaPL3dx39kZdO8Yox3rkRTDPdMH8sQXO0iPj2LB9AH8eOB40IMSJ766gZqv4rva/XXaZDVGzbB1ig8ycAMYOJ+3Ci8AoNuuuXB0ZeDX8MG1OUGmSoUQ4oSkN0J0N6WpfCgvG+gD8kqrsDvq9xi1O5zah2pKXCTlVvlAEr7VDdwaz7j5X8vNWmPHWqPUGexcm3ELZkrS7nBy/6HZLCs6HZ2zGr67AAo2BHwdb2RzghBCtAOD/go/36NMj4ZIwIFbZq+O3PPRr/x2uFg79tvhYu79+DdO7a2UBNmZU0rXDtEhG6Q48dTNsDWacQtgqtQ9u5behIxbmbUGJ3rmH5yPI3US1JQrNd6KtgV8rbriZXOCEEKc+Ha9oFQp+KgTfNofPj/Z8xaEgDcn/O3iIcx/72fOeeF7jHol7qtxOBjbJ4m/XTQEgGizgb/OGBjUgET74J5hizYZiDE3/KOYHOv/VKkapMWaI0iIDj6zpa4/0xnM6Md9BF9PgmMb4JvJcNb3yvbuIKnlRSqr7dhqHJgiAv4dSgghRLjrcn7ILxlw4JYSF8m/rx/Nnrwy9hUoW1x7JcfQOzlWO0fNvAnhi3vg1tg0KUBSnDpV2njg5iqaG6EFSMGsJVMDQEuUEYyxMH45fDVOKdD79VlK8BYVXJu3WLdAtbSq2q8SJ0IIIdqYwfeH/JJBVxXtkxJLn5TYxk8Uwgv3qdHGpkndzwlkqjQu0qjt3rTVOKiqthNpNPg9RnVdnFZ815wIE76ElWOhbK9S623SGjAl+H1NVYRBT6w5gjJrDaVVNRK4CSHEiaxwMxRvV76OPwkShwd9qaACt6PFlXyVlcvhoiqt2bzqvrMzgh6MaD86RJsw6HXYHc4G212p1MDtWFnjba9cjeEjiDNHoNOB06kEdIEEblrGzb3dVXQnOHMlrDwNin5RiilO+BIiAl/TaYlUAjep5SaEECeoqjz44TLIXe36Jd9WpNQLHfsuRCYHfMmAA7cf9hRw/Zs/0i0xmr35ZfRLjePQ8QqcwKBO8QEPQLRPBr2OjjEm8kqtfk2VdqzdVVrjcFJcWU2HGN+dFkq1TJkRvV5HrCmCUmsNpVXVfj2XSp1yrdfuKq6PEqx9NQ7yf1D6mp7xCRgi/b42KFOwR4qrZIOCEEKcqH68BapLYcY2iK9d+1+cBeuuVprMj30n4EsGvCL6iRU7mDOuF1/cPg5zhJ6XrhzBugUTGd2zI9OHpAc8ANF+qVk0f6ZKzREGrdtAY9OlaiCknh/sOrdSLXPnpd1VhyHKmreIGMhZCd/9AeyNlypxFyfdE4QQ4sR2dAWc8k9X0AYQnwEjF8ORz4O6ZMCB2568Mi46uTOgZE2qauzEmCOYf1Y/Xlq9N6hBiPapU4KSoUqP9y9TpRXhbSRwc8+4uf8Z6M7SkirPALCe5FPhjE+VTNuRZbD2CnD4HxxapHuCEEKc2JwOpRBvXXqjcl8QAg7cokwR2rq2FEskB2p7TQIcrwgs4yDat9vP6sfN43v7nalN1jYoNPxzVqJtTlACLrVLQaC13LSMW2QDDeZTJ8DpH4HeBAf/C+uvAYd/VbLVTF5QXR2EEEKEv9QzYfOtUHHEdaziMGy5HdImBnXJgNe4De+WwKb9x+mTEseE/sk8+lkWO3NKWLEth+HdEoIahGifTuoUz0kBrItUM24FjdRyK6kzxRl0xq3SMwD0qdNUOO0/8N3FsP9tJQM36mXQNfx7kTSaF0KIE9zIF+Dbc+GTHhDdVTlWcRDiB8Gp/w7qkgEHbvfNyKDcpnyg3X5WP8ptdpb9cpQeHWO492wpuiuaT1KMf7XcSutk3LS1ZAFuAii1NrDGra4u58Gpb8Pay2Hva6CPhJHPN9hIWBrNCyHECS6mK0zdAjlfQckO5Vj8QEibFPQlAwrc7A4nR4srGZBuASDaFMFjFwwO+smFCIS/tdxcBXiNHn82W8ZN1f0ScFiV3UK7FyvTpyf/w2fwJo3mhRCiHdDpIP0s5RYCAQVuBr2Oq17fyKr5Z2i9FoVoKepU6bFG1rj5zLgFGCCV+LPGra6eV4G9CjbeADufBpxw8lNegzfZnCCEECegnc/5f27/PwV8+YCnSvunxpFdWEHXRGkiL1qW3xk3n2vcAt2c4OrAEJA+cwAnbLwRdj6jfH3y0/WCN9mcIIQQJ6AdT/t5oq5lArc/T+7Ho59t58+T+zG4czxRJs9K9AF/yAnhp6RYdY2bfxm3+nXcAp0qdXVgCFifGwBdbebtWeVYneBNy7jJ5gQhhDhxnLevWS8f8CfS7CWbALj+rR9xzx84AR3w+6IZoRmZEHWoGbf8MitOpxOdl+lHp9NZr4yHK7Plf4CkXCfIjJuqzxyU4G2OErw5nTDiGS14c22akMBNCCFOeE6n8mcDm9b8EXDg9s6cMU16QiGCpbarstU4KLXWeF17Vm6z46j9t+EqwBt4HTdrjQNbbb1CnwV4/dHneqUsyIbrYddzgBNGPAs6nRZQyuYEIYQ4ge19TZk+Ld2tfB/XF/rfpnw+BCHgT6QxvToG9URCNFWk0UCsWWnMXlBq9Rq4qdmrCL2OSKNSR80SROCmTl/qdBBjakLgBtD7WkAHG66DXc+DoxpOWayNq8xag93hxKBv2m9hQgghwswvC2HHU9DvFkjKVI4VrFMK8FZkw5CHAr5kUJ9IG/cVsnTDAbILK/jnzBGkxUfy4ZZDdE2M5pQeicFcUgi/JMWalMCtzEav5Pr3a+vboozaVGpcEGvJtFIg5gj0oQioes9WosD118Kel6CmnLiRr2p3l1XVEB8t60OFEOKEsvtFGPUK9LjcdazLuZAwBDbfElTgFnDLq89/Pcqs1zcQaTTw25ESbDXKdFJpVQ2Lv9kT8ACECERjO0tdfUpdv5NY3HaVOtU1Bo2o2+80JHpdA6cuBZ0B9v8fpg0ziTMq7bFkg4IQQpyAHNWQOLL+8cQRAfW2dhdw4Pb813t49PzBPH7REIxumYgR3Tvw2+GSgK717bffcs4559CpUyd0Oh0ff/yxx/3XXHMNOp3O4zZ16lSPcwoLC5k5cyYWi4WEhASuu+46ysrKAn1Zoo1oLHDzVntNDeLsDieV1f71ES1xy9yFVI/L4PT/1vY2/YAXuz+KWWelWDYoCCHEiafnVUrWra49L0OPmUFdMuCp0t8LyhjVs/50qCXSGHDWoLy8nKFDh3Lttddy4YUXej1n6tSpvPHGG9r3ZrPZ4/6ZM2dy9OhRVq5cSXV1NbNnz+aGG25g6dKlAY1FtA1JcbUlQXz0K61bfBcg2mTAoNdhdzgpqawh2o81a94ydyHT5TwY9wl8dwGnRW/k9R4PUlZ+MuB/31YhhBBtxO+vQc6XkFS7ubNgg7K+recs2Dzfdd6Ip/y6XMCfSslxZg4cq1+Ad9P+QroFWJR32rRpTJs2rcFzzGYzaWlpXu/bvn07K1asYNOmTYwcqaQin3/+eaZPn87f//53OnXqFNB4RPjrGKOWBPFey61uuysAnU5HXGQERRXVlFZVkxYf2ejzqGvcAuqaEIhOU2DCCipXTmVs3C8cz7oEenwJpoTmeT4hhBAtr+g36HCy8nXpXuVPc5JyK/rNdV4AJUICDtwuO6UbD366jScuHoJOpyO3tIot2cd5bPl2bjmzT6CXa9Tq1atJSUmhQ4cOnHnmmTzyyCN07KjsbF23bh0JCQla0AYwadIk9Ho9GzZs4IILLvB6TavVitXqytiUlpaGfNyiebjaXvmaKvXeX1QN3PwtveGqBdcMGTdVyjieqF7Mbfpb6FCxCb4aDxNWQJT3X1SEEEK0MZO+CfklA17j9sfxvTlvWCdmvrqBclsNl/xrHXf99xeuGN2Na8b2DOngpk6dyltvvcWqVav429/+xpo1a5g2bRp2u7JOKScnh5SUFI/HREREkJiYSE5Ojs/rLlq0iPj4eO2WkZER0nGL5pOsdU9oZI1bnbVpcebAivD6uk6oFZiHcdnvi6jQJ0HRz7DyNCj7vVmfUwghRAupyvd9X9GvQV0y4HSCTqdj3pl9uWFcbw4cK6fcZqdvSiwx5tBnJi677DLt68GDBzNkyBB69+7N6tWrmThxYtDXXbBgAfPnu+aVDx8+LMFbG+HanOB9qtTbGjf37/3PuHm/TqhZIiPYXtWLdxPe4VrrDVC2F74cCxO+gA5DmvW5hRBCNLPlg2H0a9C5Tlep7X+HX+6DSysDvmTAGbePfjpEpc2OKUJP39Q4hnVNaJagzZtevXqRlJTEnj1K2ZG0tDTy8vI8zqmpqaGwsNDnujhQ1s1ZLBbtFhcX16zjFqHT6K5SL2vcIPC2V76uE2rquA5Wp8PkHyBhMFTlwFdnQN73zfrcQgghmtmA+fDdRbDxZqiphIrDsGoiZD2hlIcKQsCB28PLtjPikZX86Z2f+GZHHnaHf3WxQuHQoUMcO3aM9PR0ADIzMykqKmLz5s3aOV9//TUOh4PRo0e32LhEy1HXuFXY7FTY6mfPGsu4+ds9oeUybq4ac0Slw6Q1kDwWqovgm8lw+LNmfX4hhBDNKOMvMHkd5H8Hy4coN70Zpv8CXb2vw29MwIHbxnsm8vzlw9HpYO7SLYx69Cvu+/g3Nh8oDPjJy8rK2Lp1K1u3bgVg3759bN26lezsbMrKyrjzzjtZv349+/fvZ9WqVZx33nn06dOHKVOmADBw4ECmTp3KnDlz2LhxIz/88APz5s3jsssukx2lJ6gYk0FrZVVQWn+6tMRH4VxXgBRea9zqNZo3dYAJX0Kn6WCvhG/Pg9/fbNYxCCGEaEZxfSB+EJTvh+oS6H5pkzahBRy4RRj0TByYyrOXDWfzvWdx39kZHDpeweUvb2DcE4Htnvjxxx8ZPnw4w4cPB2D+/PkMHz6chQsXYjAY+OWXXzj33HPp168f1113HSNGjOC7777zqOX29ttvM2DAACZOnMj06dM57bTTePnllwN9WaKN0Ol02nRpvpfpUlfLKx9r3CrDLOMW5aUdV0Q0jPsYelwJTjusvwZ+exT87PoghBAiTOT/oGTZSncrWbZTXoQfb4HvLwXb8aAu2aRPpSiTgXH9kimurOZwUSV78gLrWDB+/PgGWxB98cUXjV4jMTFRiu22M0mxZg4dr/S6zq3US+cE9+/Dbo2br4BSb4TMNyG6M2T9DX65VynYOHIx6FtmTakQQpyIFi9ezJNPPklOTg5Dhw7l+eefZ9SoUY0+7t133+Xyyy/nvPPOq9fpyadVZ8KA22HIw8r/6/EDIXUCrL0SPhsMFxwKePxBfQJU2ux8sS2Hj7ceZu2eY6QnRHLu0E78c2bnYC4nREAa2qDgq3Bu2K5xUzdNWL0ElDo9DHscorsqv6HteVlZ2HraexAR06zjEkKIE9F7773H/Pnzeemllxg9ejTPPPMMU6ZMYefOnfXKi7nbv38/d9xxB6effnpgTzjhS0g9w/NYXG9lM9pvjwbxCoKYKp23dAsjHlnJw8uy6JYYzTs3jGHNnRP48+T+9EmJDWoQQgQiWWt75bnGrdru0HqR1t+c4GVK0ge7w0mptZl6ldahBpgNTuH2mwunfwiGSDjymVKotyrP9/lCCCG8euqpp5gzZw6zZ88mIyODl156iejoaF5//XWfj7Hb7cycOZMHH3yQXr16BfaEdYM2lU4Pg+8L7Fq1Ag7cDHodi684mY1/ncRD5w1iRPcO2n07c6QDgWh+vjJu7tm0puwqLbP6vk6oWbRxVeNoaId21/PhzK/B3BEKf4QvM6FkV7OOTQgh2orS0lJKSkq0m3t3JJXNZmPz5s1MmjRJO6bX65k0aRLr1q3zee2HHnqIlJQUrrvuOv8H9M10sBW7vt/2ONiKXN9bj8Gy4OrHBhy4PXvZcCYMSMGgV/pqlVlrWLohm/Ne+J5pz34b1CCECIQauB0rrxu4Kdm0aJOBCIPnj7arjlvjgZu6vs0cocccYWjyeBuijsvhhHIv5U08JGfCWWshtpfSXeHLMZC7ulnHJ4QQbUFGRoZHR6RFixbVO6egoAC73U5qaqrH8dTUVJ/dlr7//ntee+01XnnllcAGlPMFONw+o7Y9Bja36huOGijdGdg1awWdTtjw+zHe+/EgK37LIdUSyZST0njovEHBXk4Iv3WM9T5V2lBjeFfnhManSl3r25p3mhSU4NBk0GOzOyipqmn8OS39lJpAa86DY+vh67Ng1L+g97XNPlYhhAhXWVlZdO7sWmfvXn0iWKWlpVx11VW88sorJCUlBfbgehsvQ1cVIKDALa+0ig82H+I/mw5SZq1hxuB0bDUOXr5qBH1TpfuAaBm+p0rVGm71f6zVY2XWGhwOJ/rajLE3rhpuzb97U6fTYYmKoKDMVjv+qMYfFJkCE7+G9bMh+z3YcB2U7IRhi5R1E0II0c7ExcVhsVgaPCcpKQmDwUBubq7H8dzcXK/dlvbu3cv+/fs555xztGMOhwNQ+qLv3LmT3r17h2D0gfH7f/nrlmxi4t/XsONoKQvPyWDDPZN4UDJsohX4quPWUNFcNQvndEJZI1OSLZlxc38ef2vMARARBWOXwqDaxa3bn4Dv/wA1Fc0wQiGEaPtMJhMjRoxg1apV2jGHw8GqVavIzMysd/6AAQP49ddftUYBW7du5dxzz2XChAls3bqVrl27+n4ynQ6omyDwnTAIhN8phdW78rnm1B5cOaY7PZOkFIFoPcm1gVtpVQ1V1XYijco6tJIGSnhEGg3alGRpVU2D9dlcNdxapl6apW73BH/p9DDkIYjrp2TdDn4I5Qdg3CcQLZ1DhBCirvnz53P11VczcuRIRo0axTPPPEN5eTmzZ88GYNasWXTu3JlFixYRGRnJoEGeCaqEhASAesfrcTqV4un62ilbexVsvMlVysnhvd+2P/z+ZHr/pkz+s+kg5zz/Pb1TYrlweGfOGSofDqLlWaIitCDsWLmNzgnK9GJjmbK4yAiOlTc+JemriG9z8do9IRA9r4SYHvDdBVC4Gb4YCad/BEnSr1cIIdxdeuml5Ofns3DhQnJychg2bBgrVqzQNixkZ2ej14dgyUmvqz2/73ll/XN6zgrq0n4Hbid368DJ3Tqw8JwMlv18lP/8eJBHPsvC4XTy3e4C0hOiiDVLRXfR/HQ6HR1jTRwtrqKg1KoFbo1lytTArbEpyRIfbbOai6uWW5CBG0DKaTBlA6w5F4q3wVfjYNTL9f/zEEKIdm7evHnMmzfP632rV69u8LFLlizx70nGvBHYoAIQcFgZbYrgklO68sHNp7LitnHMOb0XL67Zy4iHV3L9m5uaY4xC1ONtg0JjGTdXSZCGA6RSH43qm4saIH7y8xFW78zD3lA9t4bE9lJ2nHY5Dxw2JU2/eb6y7VwIIcQJoUn5wN7JsSyYPpD1Cyby3OXDQzUmIRqVpJYEcQvcGtsN6m8RXldZkZbJuA3vphSx3pJdxDVvbGLs41/z9y92cuBYeeAXM8YpXRYGLVS+3/k0rJ4edDNjIYQQ4SUktQMMeh1TTkrj1atPCcXlhGiUK+PmquXWWKYszuzfWjK1b2hzt7tSXTKyK5/96TSuObUH8VFGckqqeOGbPZzx5Goue3kd+wsCDOB0ehjyIJz2PhiiIWclJR+fTPHRrc0yfiGEEC1Hij6JNikprrYkSKlbxq2RTFmgGbfmbnfl7qRO8Txw7klsuGciL1wxnHH9ktHpYP3vhSxZuz+4i3a7GCavpVjfGUvNfqK+GQsH/hPScZ8I7A4nX+/I5ViZf7u8jpVZmfX6Rpb/erSZRyaEEPVJ4CbaJFfbK7eMm7Xh3aD+7t5s6V2l7iKNBs4e0om3rh3F4xcOBiDraEnwF+wwlL9WvMYPpUMwUQE/XApb/izr3tys2p7LtUt+ZOEn2/w6/7Nfj/Ltrnze9DOgPlpcyfgnv+GVb39vwiiFEEIhgZtok7Q1bt4ybk1d49bCBXh9Gdw5AYAdR0tw1muf4r+NRw3M2vcwnztqt57veAq+ngSVuQ0/sJ3YVzsVveWAf+sAtx8tBVw/J43ZuK+Q/ccqWPbLkeAGKIQQbiRwE22S912ljaxx87PsRmkLtrxqSO+UGCL0OkqqajhSXBXUNQrKrOSVWrFj4M2Km+D0/0JELOStgRUnQ/66EI+67VF/ho4WV3G83NbI2bC9NgPqb/kW9bzGfmEQQgh/SOAm2qS6gZvT6XQrB+I94LIEvMatdTNu5ggDfVJiASXrFoztbo8rraqBrhfClE1gGQiVR2DVGbDzOS8NkduPY24bXLY38j7bHU525igZt8bKyqjUzJy/GTohhGiIBG6iTVKnSo9XVFNtd1BZbaemtv6Zr7VpaiDW0AduVbUdm91Re53WLyg9IC0OgB21wUKg6gVuAPEDlGK93f4AjmrYfKvS59RW3OTxtkXuPW8bW0+YXVhBZbUdgDJrDQ4/au6payqD7owhhBBuJHATbVKHaBMGvdKwt7DcpgUlBr2OaJPB62P8ybipH646HcSYwiBwS7cAwW9QUNdjQZ3AwRgHY9+Dk58BvREO/leZOi3c3JThtkkFHhm3hgNk90DY4YRyW+NZNPXnzVbjwFpjD3KUQgihkMBNtEl6vY7EGCXrll9q1dYRxUVGoNPpvD5GW+PWQOZDm241R6DXe79OSxpYG7iFaqrUY5ODTgcDboVJ3yu9Tst+hy9PhV2L29XUqfs6ycamSuv+Pfizbs39HFnnJoRoKgncRJvlvs6tpJH1beDabNBgxq2yZdtdNWZg7VTpvoJyqqoDy9ZYa+zsySvTvrc7nNo0n4ekUTBti6tV1o/zlLIh7WDq1OFwUui2IWFPXhm2GofP87PqZOT8CcTcNzE0qR+tEEIggZtow1xtr2yudlcNBFxqMFZhs1Nj9/7h7GowHx6BW3KcmcQYEw4n7MoNbJ3bnrwyahxO4iIjtGlln4GGqQOc/hGc/BToIiD7ffh8OBSsb+pLCGvHK2xab9hYcwQ2u4O9+WU+z6+bkfNng4L7OZJxE0I0lQRuos1Kdsu4NbajtO59vj5AXSVFWn99G4BOp2Ngeu0GhUbWX9WlrtfKSLcQa1azjQ0EGjodDLgdzvpOmTot3wcrT4Ntj4HjxFybpa5vS4g2klE7Le1rurSkqprDRZUAdEuM1o41xn03qWxQEEI0lQRuos1S214VuK1xayjjZjToiTQqP/K+AjdX26zwyLgBDEgLboOCGoAMTLdo08TFlX5kfJLGwLSt0P0ycNrh578qBXsrDgf0/G2B2uYqKdasBci+Ajc1cO4UH0mXDlGAv2vcJOMmhAgdCdxEm6VOlR5z21Xa2No0SyMbFFztrsIj4wZuGxRyggvcMtItxJkbL4XiwRQPpy6FMW9ARAzkrYblQ+DgxwGNIdzla4GbiYxOasbNe2bTIxDWfo78WePmlnGTNW5CiCaSwE20WUkeU6X+dTtorO2VtlYuTNa4gWctN39bXzmdTo9Aw992Xx50Ouh1DUzdAokjwFYI310AG2+Eat/rwNoSdaq0Y6xZC5CzfLQYUwPnAelx2vvZWCCm1hhUScZNCNFUEriJNksN3PJLrVrA1VjGrbGSIP6slWtpfVJiMeh1FFVUk1PiX+ur3BIrxyuqMeh19E2NdSs+HETgYOkHZ62FgXco3+95+YTZuKCWAkmONdMvNQ69TqkLmOfWA1el7ihVAmH/3s+yOvf7nfEUQggfJHATbZYr4+aaKm1sirPRjJsfa+VaWqTRQO/kGMD/DQpZR5VSHr2SYog0GrT3JejF8QYTDH8SzlwF0V2gbA+sHAs/36d0X2ijCkpdU6WRRgO9kpUWY3XXE9odTnbluAI3V2mZhl973fdb2l4JIZpKAjfRZqlr3ArLrRRV+BdwqVOgvj5wwzHjBoFvUNjulh2Cxl+339LOhOm/Qo8rwemAbY/Al5lQvKNp120lBW6bEwCfO0sPHCunstpOpFFPj44xfmfc6t4vu0qFEE0lgZtosxJjTOh0Suuh7MIKoPGAq7G2V+G4xg2UdVXgf8/SLLf1bdB4pjEgpgQ49f+UllmmDkqbrBXDYcczSjDXhqhr3NTAbWC69w0K6vf9U+Mw6HWuNW6NZdzqrIEr8WdXrxBCNEACN9FmRRj0dIhWsm5q4NZYwKWtcfOxqDxcM26Btr5ybUxQAr6QBm6q7pfA9N8gfQrYq2DL7fDVGVC6J3TP0cy0ciBxauCmvF9ZRzy7RqgbE7QMpp/vZ92pUVnjJoRoqlYN3L799lvOOeccOnXqhE6n4+OPP/a43+l0snDhQtLT04mKimLSpEns3r3b45zCwkJmzpyJxWIhISGB6667jrKyE2PHm2icOl2qVr9vcsYtDNe4AQysnSr93Y/WV5U2O/sLygHX1J9rai/EgUN0Jxj/OYz6F0TEQv73StmQHc+GffbN6XS6ZdyUnyP1/arbYkwNhNUdvhY/3081IxdR27lC1rgJIZqqVQO38vJyhg4dyuLFi73e/8QTT/Dcc8/x0ksvsWHDBmJiYpgyZQpVVa6ddTNnzmTbtm2sXLmSZcuW8e2333LDDTe01EsQrUyd4lI1FnBpAYy1bWXcUi1mEqKN2B1Oj/6j3uzMLcXhhI4xJpJrM0mu8hXNEDjodNDnBpjxG6ROBHslbLkNvhof1tm3kqoabLWtz9Sfo+Q4Mx1rW4ztdJuWrrtm0JW59W+NW3pCZO33knETQjRNqwZu06ZN45FHHuGCCy6od5/T6eSZZ57h3nvv5bzzzmPIkCG89dZbHDlyRMvMbd++nRUrVvDqq68yevRoTjvtNJ5//nneffddjhw50sKvRrSGuoFbYwFXQ1OGdoeTUmt49SpV6XQ6Levmq7K/Siu828mCTqdkehorPBwSMd3hzJVwyku12bfvarNvT4dlyyx1Y0KsOYJIowFQ3mdXIV7lfSyudLW6UjeJuH6OGn4/1fs7J/jfaUEIIRoStmvc9u3bR05ODpMmTdKOxcfHM3r0aNatWwfAunXrSEhIYOTIkdo5kyZNQq/Xs2HDBp/XtlqtlJSUaLfS0sB6QIrwUT9wC36NW5m1xu288Mq4gWuDgq/K/qrtdTYmQDOtcfNGp4O+Nyo7T7Xs23xl5+nxX5r3uQPkXgrE3cA6O0vVdYWdE6KIj1Z+ftTAvtxm16bpvVEzcp0TlN6mpVXVfhdRFkIIb8I2cMvJyQEgNTXV43hqaqp2X05ODikpKR73R0REkJiYqJ3jzaJFi4iPj9duGRkZIR69aClJca4P3UijHlNEwz/SDa1xU4M5c4Qec4QhhKMMDTXj1ljrq7obE6AZ17j5EttDyb6NehmM8VC4CVaMgJ/vVTYyhIG6O0pV2gYFNXDT6re5v5+uwL5ukV13roybMlXqcCrBnhBCBCtsA7fmtGDBAoqLi7VbVlZWaw9JBMn9Q7exbJv7Od4Wifvb77S1uGeCfGVtHA5nvfVY4BawWmtwNJAhCimdDvrMgRlZ0PVCcNbAtkdh+VDI+7ZlxtCAujXcVK4dvKUercPUaVIAo0FPpFH577Oh6Wf1vuQ4M0ZD7QYF6VcqhGiCsA3c0tLSAMjNzfU4npubq92XlpZGXl6ex/01NTUUFhZq53hjNpuxWCzaLS4uzue5Irwlu33o+tMYvqH6WyV+9jttLX1TY9Hr4HhFtdeWTACHjldSZq3BZNDTu7YLALim9pxOKLe18Dqr6E5w+n+VW1Q6lO5SyoZsmAPWYy07Fjda4BbnOVXaOzkWk0FPqbWGQ8crvU49Q+Pt08D1y4Alyti0tmNCCFErbAO3nj17kpaWxqpVq7RjJSUlbNiwgczMTAAyMzMpKipi8+bN2jlff/01DoeD0aNHt/iYRcsLNOOmLtK31Tiw1nhOWYV7xs29JZOvDQrq9F6flFiMBtc/b3OEXsv4tFrg0PVCJfvWp3bX995XYdkA+P1NJaJsYb6mSo0GPX1Tlff5t8PF7MytP1UK/tVyc7ViMza97ZgQQtDKgVtZWRlbt25l69atgLIhYevWrWRnZ6PT6bjtttt45JFH+OSTT/j111+ZNWsWnTp14vzzzwdg4MCBTJ06lTlz5rBx40Z++OEH5s2bx2WXXUanTp1a74WJFuOeLfFnJ2isW1auXjsirYZbeGbcwFVHzNcGBV/ZIZ1OFx4ZH1OCUvNt0rcQfxJYC2D9NbBqAhRvb9Gh+JoqBdf79/lvOVRVO4g06uneMcbjnMaKOYMrSIuLjGj5dYZCiBNSqwZuP/74I8OHD2f48OEAzJ8/n+HDh7Nw4UIA/vKXv3DLLbdwww03cMopp1BWVsaKFSuIjIzUrvH2228zYMAAJk6cyPTp0znttNN4+eWXW+X1iJaXGOMK3PzZCWrQ64g1e8+UqB+o4VZ81522/srHBgVvGxNU/pawaBEpp8PULTDscTBEQd4a+HwobL0HaipaZAiuwM1U7z71ff5im7LJqX+aBUNtEV2VPzt13adKXY3pZapUCBG8Vk0tjB8/vsGt8TqdjoceeoiHHnrI5zmJiYksXbq0OYYn2gBzhAFLZAQlVTV+B1xxkRGUWWvq95HUPmTDN+OmBmQ7fGXcagO6jDoZN2h4fV+rMJgg4y7odin8eAscWQZZi2D/2zDiaehygbLBoZk0lHFT3z9rjVKgd2Ba/UBYzfD6CoSdTqf2MxYXGUGcufEMnRBCNCZs17gJ4S+1z6S/U5wWH1OGpdq0Vvhm3NSdjXvzy7ys0avmYKFSKLbuVCn4ft2tLrYHnPEJnP4RRHeFimz47iL4ZnKzTp8WlHpf4wb1A1/v72fDGbSqagc1Wis2o1vgHGbvvxCiTZHATbR56gevv90O3KcMDxZW8H/rD3D9m5v49/ps5TphvMYtPT4SS2QENV5aX6n1xtIskXSIqT/9F9aBg04HXc+Hs3fAoPtAb4acr5TOC1vugOqGa9cFqtxaQ2VtL1I18HcXH22kU7xrSYa3wK2xXaXqcb0OYkwG7eczbDKeQog2KXw/oYTwU/fEaDbuKyTVEtn4ybgCmLv++0u9ICY9PpKJA1O9PSws6HQ6BqZb2LCvkKe+3EVynJnSqhqldEWhsjZMbdlUVyCL40uqqltnrV9ENAx5CHpdA5tvh8OfwI5/KNOnwx6HnleBrum/b6rTpJFGPTEm78WWB6ZbOFKsFAvu72WqNM7HWkmVewZX2Rwia9yEEE0ngZto8+6Y0p9TeiRy9pB0v85PiVMCvJKqGgx6HSO6deCM/smc0S+ZjHQLen3zrasKhUGd49mwr5BVO/K83j+mV6LX4/4GDit+O8pN/97CA+dkcM3Ynk0bbLBie8EZ/4Mjn8PmW6F0t7L7dNcLcPLTkHJaky7vXgpE52Md3cB0C6t25Cmtrrxkc11r3Ly/n3XXTIbtVLUQok2RwE20eamWSC45pavf58+d0IfU+EgGpMUxtk+S1w/lcHbDuF5E1AaXseYI4iIjiK1dQ5UUa2J41w5eH2fxo3wFwKb9xwFYvSu/9QI3VadpkHom7HwOtj0ChT/CV6dDtz/AsL9BbHDja2hjgur0vkm88M0exvVL8np/Y5s9tI0JtZsStPNlc0LY2360hGiToV4JmOb26ne/A3D96b1a9HkD9d6mbI4WV3HrxL4+f/ERzUcCN9HudOsYzfyz+rX2MIKWaolkwfSBAT/O34zbsdqgZmdOw83sW4zBDBl3Qq+r4ZeFsPcVyH4fDn0CA26HkxaA0fv0sC/+BG6je3XkmzvGk+ZjCr6h9mngXtA5wuP8sCjHInwqrqzm/MU/EB9lZMM9E1ssMMkvtfLIZ9vR6eDSU7qG7SYpp9PJwv9tw1rjYMbgdPqmSuehliabE4RoJyx+Bg7qNOLR4iqKK8IoyIhMgVEvwdSfIHUiOKyQ9Th80gd2vgB2m9+Xcu0orb+Jw13PpBiifKyBszRSF8/VQs1Y+2cYbw4RmkPHK7DWOMgrtVJqbbm/K7U2o9Pp+jcYjoorq7UyOVk+OriI5iWBmxDthL8ZNzUbBWjtnsJKhyFw5koY9z+I6wfWfNh8C3x2EmR/4Ff7LH8ybo1prBNF3Yybv4GzaF3uQVOBj57AzcE9w+3+bzDcePz/EC5Z+XZGAjch2gl/mqJD3f+Yw/Q3ap0OupwLM36DU/6pZOPK9sD3f4AvT4W87xp8eENdE/zV2Jo1Vws1o8efJZWScQtn7sFaS2a+3NvYtWTAGKj8Utd7skMCt1YhgZsQ7YQ/LZfsDieF5W3oP2a9EfreDOfsgUH3gyEajq2Hr8bB6nPg+C9eH6YFbl5quPlLDcSsNQ5stVNH7lwN5tU1bsqfldV2qu31zxfhwf0Xl5bMfO3Mdf2S1FYybjtkqrRVSOAmRDvhT5P54xU2HG4zjW1mKsQYB0MegHP3QJ8bQWdQWmh9Pgx+uAJKdnuc7l4OJFixboWavU1/ltZZ4+beS7dM1rmFrdYI3GrsDnblugpqh/MaN/f35EhxFcWyS7rFSeAmRDuhBg5l1hrsDu/rwOp+UO3MLW2wn3DYiUpXNjDM2AbdLgGccOAd+GwgbLwRKg4BoVnjZtDriDX73nBQUmeNW4RBT3TtRgfpnhC+WmON2/5jFR5Z27aScYM29MvdCUQCNyHaCY+Mj4/dcsdqP7R6JsUQoddRWlWjdQ9oUyz94bT3YOoW6DQdnHbY8zJ80oeaTbcSWZMPQHITAjfwbJ9Wl7fet9I9Ify5Byb5LRRA7aizljSsA7dSz2xg3bGL5ieBmxDthDnCgClC+Sfva0G9+oGRZomkd3IsEMYbFPyROBzGfwaTvoXk08BhJWL3c3w74Hru7fQaFl1hky7fUDcEdROCe+swf4sgi9aT75Zlyy9tmSlLNWvVIVr5+WgLU6Uda/shh/062BOQBG5CtCONtV1SP7Q6xpq0/pwnxH/MKacrwdv4FZTHjSRKb+X6pI/QfdILfvoLVOUHdVn/Mm4R9c6XWm7hy2OqtIUyX+qO0lP7KF06joVzxq12bGNrxyobFFqeBG5CtCONFY11X7SvBm4nzBoWnQ46TWF970+5Zt8D7KoZAPYK2P4kfNITfroLKnMDuqSrJEj9QEzbVerWUk39Wta4hSdlV3XLb05QpxtPqw2GwjvjpoxNHevOnFIcPtbMiuYhgZsQ7Uhja6zU3/ST48wMONECt1oF5TZWl47kMfsSOONTSBwBNeWw/Qn4pAf8eKu2iaExvmrj2R1Oreq+Z8ZNGs2Hs7q7qgvKrM2+Oae0qppDxysBVzBUZq2hqtrerM8bDKfTqa37G9UzEZNBT7nNzuGiylYeWfsigZsQ7UhjRXjdC9OqGbe9+WUnVN0xV1YxEjqfDVM2KQFcx9Fgr4Jdz8EnvWHjTVC2r8Fr+aqN5775w9tUqXRPCE/qUoEoo7L7t6raQbmteQOoXbXdSdIskXTpEIXJoPcYSzgptdZou1/T4iPpk6Ksg90u06UtSgI3IdqRxorwqkFNxxgznROiiDNHUG138nt+eYuNsbnVKwWi0ykB3OR1SiutlDPAYYM9/4JP+8Laq6DoV6/X8hUIq5sPzBF6zBGuXqfSPSG8qT8bXROjtOCtuUuCqGtI+6fFodPptG4e4bizVH0v4swRRBoNWlb+hFgH24ZI4CZEOxJnbrhf5jG3jgI6nY5+2n/MJ85v1K6MW512VzodpE2CSauVjQxpk5UyIvv/DcuHwOqzlVZablNnvqaeXX1KjR7HJeMW3tyD+qS4lgmgdtRuTBiQrvxbU7t5HAvDdW5qFlAdozrmE205RbiTwE2IdqShNW5Op7NeUHPCbVDAlTVIbqjdVcrpcOYXyjRq14sBHRz5TGmltXIsHPofOB0+G8eXaF0TIjyOy+aE8KbWKEuKNWs1/pp7ylL9t6Vmr9RMcFhm3Or8/zAgzQLA9hPoF7u2QAI3IdoR19Se90r/ttq1bOqHx4m4QSGgrgkdR8Lp78PZO6HPDaA3QcE6+PZ8+OwkBlW+i1ln9TvjZpECvGHNI+PWAgGU0+nUgh41CArrqdI6/3bU/x/2F5SH5WaKE5UEbkK0I646YvUzPup/yrG161cA+qeeeGtYtAKidadKG2LpC6P+BecdgIy7wWiBkh0MO3o3awfO5mzdvzxKiWh9SiPrZNxkV2lYy9eWCpi06cD8ZpyyPFpcRWlVDRF6nVbwuqMWMIbfVGndwC05zkxijAmHE3a79VoVzUsCNyHaEXWqzlvgcMzL2i81C3C4qPKEWJdVbXdwvEJ5HUH1KY1Kg2GL4PxDcPLTWM1d6RhRwhXRS+B/3WHD9VD0m7Y5weJjjZtMlYYn9zqGLZFxU9eO9k6O1bqahPdUqWfgptPptKybTJe2HAnchGhHGloc720KMT7aSJolEnCVLWjLCsuVD2a9DjpEB5Bxq8sYBwNu48CpP/PHA3fza9UAcFhh72uwfDATj17BWZb1WMw6j4dJHbfwpq1/jDWTrE5ZNuMat+11NiZAeE+Vqi3A1I0b4FoHq26yEM1PAjch2pGGNif4mkI8kVpfqQvNE2PMGPS6Rs5uXFx0JMuLT+OCPf/AedYPykYGnYGutvW80uMR7qo5B7b/A2zHAddmhZLK6mYv7CoC19Jr3Ha6lQJRJbehqVKAgbVZ+Z25knFrKRK4CdGO+NoFCZ7TRO5OpA0Kx8p9lAIJkppBq3E4qYofrWxkOPd3vjFcy/GaOBIch+GnO+CjLrDxRuKrslznV584RY1PBA6HU/v5SI4za2vcmjOAUqdK1eAH3Ne4hV/GzVvgpmYLtx8tlV9GWogEbkK0Iw311vS12/JEyrj5VQokADEmA2riTguGY7rxQc1cxmxfwg8dH4eEIUpP1D0vE71qJB/0vpPzEr6hpFwWc4eTospq7LX9rjrGmtwyX80TQFlr7Fpha/eMm/pLRVFFdVh1LFHKBbmmklV9U+LQ6ZRlCPlhGGyeiCRwE6IdUTNuldX2eh8KBXWKa6rca7m19d+oAyoF4gedTue1xEpJVTVWp5nc5JkwbStMXA3dLgVdBCNjtvNst3+Q9FVv2Ho3lP0ekrGIplF/NhKijRgNeu3fQYXNTrk19GsS9+aVU+NwYomMID0+UjveIdqkTeOrazLDQbnNrmWJ3de4RZkM9OwYA5wYWfm2QAI3IdqRWLfyFGV11rlpQU2M5zRin5RYDHodxZXV5Ja07d+o3Xuxhoq3naJqEGeJNCodGVLPgNPehfMP8krxbA7bkjFUH4Osvyl9Ub8+C7LfB3v4fFC3N9ovLrVBfYzJQKRR+YhsjqybuiZsQJoFnc613lKv15FY+28wnPqVqu9PtMlAtMmzzI06XSobFFqGBG5CtCNGg17rwVh3g4K2/qtOxs0cYaBnkvIbdVtvfaX1Yg1Rxg287xQtrS0HElenjhtRaXxkm824Ha/ya+8lkD4F0EHOV/D9JfBxF/jpL1CyK2TjE/7JrxPUK31Dm2+6tG6rK3fhWBKkoWx1W+ugsHjxYnr06EFkZCSjR49m48aNPs995ZVXOP300+nQoQMdOnRg0qRJDZ7fEsI6cHvggQfQ6XQetwEDBmj3V1VVMXfuXDp27EhsbCwXXXQRubm5DVxRCOGrlljdjIO7E6X1VainSsG9G0L9jFvdzgnKsQjsGNgfeRZMWAHn/g4n3QtR6WDNh+1PwrL+8NUZ8PubUFMesrEK37xtzlG/VstghNIOLztKXc+rlgQJnwxsQ9nqtvT/w3vvvcf8+fO5//772bJlC0OHDmXKlCnk5eV5PX/16tVcfvnlfPPNN6xbt46uXbsyefJkDh8+3MIjdwnrwA3gpJNO4ujRo9rt+++/1+67/fbb+fTTT3n//fdZs2YNR44c4cILL2zF0QoR/rz1y6y02Sm3KS1rvHUUGJDadv5jbojWJDukU6W172el5xo3qN+rVDlW5/2P7QFDH4bzsmHc/6DTDNDpIe9bWH8NfJimFPbNX+vR4F6EVr6XX1yaNeNWp9WVO/V5j4VRxi3fx65zcO2K3Z1bRk0Ybajw5qmnnmLOnDnMnj2bjIwMXnrpJaKjo3n99de9nv/222/zxz/+kWHDhjFgwABeffVVHA4Hq1atauGRu9T/XyXMREREkJaWVu94cXExr732GkuXLuXMM88E4I033mDgwIGsX7+eMWPGtPRQhWgTvNVyUz+YTBF64sz1/1s4UXaWusqBNF/GzVpjx1ajfHj5yrgp59dZ8K6PgC7nKreKQ7DvLdj7OpTtVQr77n0NLP2h5zXQYybEdA3ZaxCufwPuO46T45qnGO7xcpu2XrThjFv4BG6+Ni8BdOkQRYzJQLnNzr6Ccvqm1n9N4cBms7F582YWLFigHdPr9UyaNIl169b5dY2Kigqqq6tJTExsrmE2Kuwzbrt376ZTp0706tWLmTNnkp2dDcDmzZuprq5m0qRJ2rkDBgygW7dufv8FCNEeeVuT5b7N332htErNCuzJD//fqH1xOJzaLr1QlQOB+m3E1D91OrwGwRYtQ9dA26voLnDSPXDObpi0BnpdA4ZoKNkJPy9Q2mutmqhMpVa37WA6XHibCmyukiDqL0BdE6OI9fIzkhSGRXjzvZQCUen1Ovq18i93paWllJSUaDertf7fWUFBAXa7ndTUVI/jqamp5OTk+PU8d911F506dfKIPVpaWAduo0ePZsmSJaxYsYIXX3yRffv2cfrpp1NaWkpOTg4mk4mEhASPx/jzF2C1Wj3+gktL5T8+0X54a3tV4KVPqbsuHaKINhmw1TjYf8xzzVVVtZ0Dx8pxOMJ7Gu94hU2r05UYE/pdper7qQZksaYI9F66M1ga6F5Rj04HKeNgzBtwYQ6Mfg1SzgCckPu1ayp17ZVwZAU4pJVWsLytf9SK8IZ4jZs6Tdo/tf40KYRnEd6GMm7g+uWutTYwZWRkEB8fr90WLVoU8ud4/PHHeffdd/noo4+IjIxs/AHNJKynSqdNm6Z9PWTIEEaPHk337t35z3/+Q1RUVNDXXbRoEQ8++GAohihEm2PxUoTX1e7K+3/Ker2OfqlxbD1YxNc78th6sJifDxax9WAR24+WUONwcueU/syd0Kf5X0CQ1OC0Q22drlBxbfbwzLjV21Gqne+7e0WDjHHQ+1rlVrYf9r+tTKeW7lK+3v82mJOh+6XQ/QpIGqMEfsIvanDWEmvc1LWiA73sKFWeN3w3JyT7+OVuYCuXBMnKyqJz587a92Zz/f/LkpKSMBgM9TYx5ubmel2S5e7vf/87jz/+OF999RVDhgwJzaCDFNaBW10JCQn069ePPXv2cNZZZ2Gz2SgqKvLIuvnzF7BgwQLmz5+vfX/48GEyMjKaa9hChBVvba+O+VHfbECaErg9tnyH1/u/3ZXfLIGbw+Hk29357CsoJ6/USm5JFfm1fx4rsxFpNJAQbay9mUiIUr7uEG0iPqr2WLSRfbVV6kO5vg3qB2KujQn117cpxz0DvUA4HE7yy6wcOm7hYPU1HIz6A1RuZGDVx5xu/gazNR92vaDcYnpCjyug+2WQMCiYl9bqDhZWsO1ICXmlVeSVKH/neaVWCsqsTDkpjT9N7OvXdX4+WERsZAS9k2O93u90OjlWXj+jpO0qDXHgtr02cPO2McH9ecMq49bA5gSA/qmtO1UaFxeHxeL9/VSZTCZGjBjBqlWrOP/88wG0jQbz5s3z+bgnnniCRx99lC+++IKRI0eGcthBaVOBW1lZGXv37uWqq65ixIgRGI1GVq1axUUXXQTAzp07yc7OJjMzs8HrmM1mj2i8pKRt1J4RIhS8b05ofNH+mQNSeHfTQSKNegZ3jmdY1wSGdk3AHGFgzls/sitX6azgbY1cU3z6yxFufXdrg+ccLqr0+3reds02haVO54TmyrgdLa7kvBd+IK9eUdYOwGx6Jt7IN1fWwP6lcOgjKN8H2x5VbvEZ0O0SpXtD/ABvlw87eaVVTHxqjbbRo66dOaXcdEZvTBENZ09zS6r4w0vrSIwxsW7BmV5/Posrq6m217a7cptG1zJfQRTCdTiczF26hU37j9e7Tw0SvW1MANcazMJyGw6H0+uUe0trrJSOGoQeLvr/9u48Psrq3h/455l9klmyzySELCzZZJXNCLcuBNFarwtV3KNC70sBN2qLbW+BtrcF609LaxFv1aK9oiAqWlQQRIjVgkiIIgYSAoGwZCfLZJLZz++PZ55nZpKZZJJMmMzk+369nleSeZ6ZOWcmDN+cc77n24V2i138dzHcLF++HMXFxZg+fTpmzpyJdevWwWw248EHHwQA3H///Rg1apQ41frMM89g5cqVePPNN5GVlSUuxdJoNNBo/P8hMNSGdeD21FNP4aabbkJmZiYuXLiAVatWQSqV4q677oJer8eiRYuwfPlyJCQkQKfT4dFHH0VhYSFllBLSCzFwsHoCh8Yg9je77jIjvl15HWKVUsi8photdickHNDSaUejyYoUXWjXfnx9+iIAfsTvijGJSNEpkaJVwaBTIjFWCavDidYuO1o7bWjttLsPG9q67GjptKO1y462Thtau+zosjlxw4TUkLbPU//Vd41boP+4dH62DwlGSUUjGkxWSDggVa/G6AQ10uNjYNSp8Ne9Vai+aENH4nxo0m4AHJ3A+e18EFe7E2grB75bzR9xE/kALuN2QJczsE5fAmU1rbA5XNCpZCgcmwiDToUUrRIpOhV+u70cHVYHqpvMAYMfwZFzbbA5Xahrt+BcSxdGJ8T0uEYISrQqGVTuDaoBz+ib2eZEl80JtULa476BVDebseNo4PXW6fFqZCX2bAvgWYPpdDG0dNpCumH0QHTaHOh0bxcUaI2bPkaONL0Kte0WnGo0Y8rouEvYwuAtXLgQjY2NWLlyJerq6jBlyhTs3LlTTFioqamBROL5fNuwYQNsNht+/OMf+zzOqlWrsHr16kvZdNGwDtzOnTuHu+66C83NzUhOTsacOXNw4MABJCcnAwD+9Kc/QSKRYMGCBbBarZg/fz5efPHFMLeakOHN74ibSVjj1vtolD6mZzCikkuRlRiLU01mHK8zhTxwE9bMPHzVWNwydVQfV/duKEYEu7+efY+49UwOCcaxWn5m4KHZ2fjvH/ku7dhy6CwaTVZU1ptweUY8IItxr3VbCNjagHMfADVvA3W7gNbv+OPIfwP6CcDoBUDGAv77YbQmTnjf5xUY8dwdk33ObT5Yg8M1raioN/UZuFV4LZY/XmfyG7gJG+x2z5jUKmVQyCSwOVxo6rD6vW/g5xWmQ7VYd+eUHuczEmJ8/gDyJpdKEBcjR2unHU0d4Q/chPV/KrkEsb0Er28sngWjXtWjJNZws2zZsoBTo/v27fP5+fTp00PfoH4a1q/u5s2bez2vUqmwfv16rF+//hK1iJDI5287CmF/M3+p/sHINWpxqsmMynoTfpCTPPhGurlcTFwzk5/a+/qVYIQ6aAO8twOx+3wNvMat53YswThWG/h1yDNq0WiyoqLOHbh5U+iBMffzh60FOPs+ULMFqNsDtB3lj6O/AbTj+SBu9AIgYVrYgzghO9HfAv5cow6Ha1pRWWcCJvc43e1xPGuuKuraMa/A0OOaQNOAHMchWaPE+dYuNPYzcDvuDrQnp8cFXMvWmySNEq2ddvf60/Dui+Y9It/bv6ExAdYQktAa1tuBEEJCr7cNeANNg/RlqDboPdfShQ6rAwqpBGOSY0P62KEivJ4dVgdcLuZV7qqPETerQ9yepC+MMbEOZEGa/8AN8AQLASnigbEP8qW2FjQAV7wOjLoJkCgB0wmgfC3wyQzggwzg62VA7e6wFb4XRhj9BT25Bj5ACOb3zbvax7EA13t+/3uOOHu2BOnfOrfeSloFQ1hfF+rEiIEYilJxZOCG9YgbIST0tN0W09udLrR28qNEiQPc3yx3iEpilbv/8x6XognpFh6hJIxguhhgtjnErFJ/VRP42z0fux1WB/QBRua8nWvpgsnigFzK+c2M9Oyh1Y/XXxHvGYmzm4DzHwFn3wVqd/CVG06s5w+5ni/Dlf6fQOr1/AjeEDNbHThzsRNA4BE3AKis772/VocTp5o8+w4G+v3sLTBJHuDWHMJ74a+IfDCG0ya8FLgNLxS4ETLCdF9jJVQTkEo4xMcMMHBzjyqcaDDB6WKQhigLzjNdNvhp0qGilEkgl3KwOxlMFoeYdBAoOUEpk0Ipk8DqcKG9yx5U4OYJYLV+syi9RzwHtI5PrgWy7uQPpwWo+ww49z5w/gPA0gCceZM/OBm/IfCom/hDO7Z/zxMkPkOZz670t75L6G/NxU6YrQ7E+qk+AAAnG8xwupj4/lQ3mWGxO30SEAD/e7gJBrI1h9nqQI078BzINOlAn3eoCK9Psp8RSXLpDc8/YQkhQ0YIKKwOF6wOp1hcOyFWMeBtBzITY6GUSWCxu8T/sEJBmC4LtFHpcMBxnNfeeA4xIA40Vcqf6986t75eh3EpGkglHNq67GINzAGTqoBRPwRm/Q245QIw70sg/2eALg9gDr5iw+Enge3jgA/zgbKfAfV7QzqletxrYb8/CbEKccuMEw0dAR+nop5/3aaMjkNcjBxOF0OVn+v91SkVDCSAqnCPBKZolQOu0iFMlQ6HQvM04ja8UOBGyAij8QooTBZHSD6UpRIO493rjipCWPKmtwX5w4mneoJdDMYCJSfw5zzXB0MI3AoCvA4quRTZSfwawGOhLDkkkQLJVwJT/wj86BhfO/Xy5wHDNfzoW/tx4Nj/A/ZcC7ybBPxrAXDyVaDz/KCe1hOoBn7fPdPzgfvrvc4sr5d1mL39GxDXmvVjjVvFINe3ebeFpkpJdxS4ETLCSCWcWNiaD9x6r1MaLKHuYkVd4BGQ/ujwmm4a/oGbJ7O0fUhG3PoOYIUgIdTrDH1oxwF5TwJzPwMWNAKzNwPZ9/Olthwm4Ox7wFeLgffTgY8nA2U/B+o+5adf++G42N/AgU+OGLj1MuImBlA6ccrSX6DX278BMTmhHyNfx4MIPPsyrKZKKXAbVmiNGyEjkFYlQ4eVn9ZrDtGHsjCiIUxPDZbwH6xBN/DppktFGEHjp0qFNW6BP151/djLzWSxBxXA5hu1+OhI7dAGbt4UcZ694pgLuHgYuPAxfzQfBFqP8MexZwGpGki5GkidD6Rex0+7BliH551B29v6MOH3rbcEBe+91OTuZQDdR9wYY+Jomv/khP6PfAnZq8Ko4EAMNJt1KITqjzsSGhS4ETICaVUy1LZ1nyod3IdyTohHfMojZJoUALRKz9544j5uvZT88beXXiDC69lXACtkWh7ra0uQocBJgMTp/DFxJWBpAup2A7Wf8Jv+dtXy2aq1O/jr1WmAsYg/DHOBmDTxoS60WWCyOCCT+M+gFeT0sQVNW6cdtW38SF+OQQuZO3A71q0IervFAZuTL6vld41bPwMoxpgnYBzE2kwhw7vJbBuSjaP7QwxsB7hdEAktCtwIGYG0XoFDMHVKgyGMgJxu7vSbuddfve3jNdwI06K1bRYIW7MF2g7E+/pgpkqDWe8FeF7/k40dsDtd4d0+RZUEZN3FH4zxlRpqP+GPxi+ArgtA9T/4AwD0lwGGawHDtTjRkg+AT7jorQ5pjntNZVOHFc0d1h7Zp0KCQJpeBb1ajhyDFhzHX9/UYe0xFalRyvz+zgrXmayOoH6v69otaOuyQyrhMC5l4BvSCkGkzeGCyeoIW+1Pi92JDiv/e0pTpcMDrXEjZATSqbzXuAnlrgb3oZyiVUKvDpy511/HIyCjVCAEaRfcxe7lUg4qeeCPVyFxIZjkhGBHHtPj1dAoZbA7GU41mnu99pLiOCB+ElDwM2Dup8CPW4BrdwMFK/gKDeCAtu+ByheAf92Kq47m48Pxj2OF4RV+bzm7/xHEGIUMGe5KBhV+pkuF24S1f7FKr+u9RumaTL2POOtUMijcQXAw682EEcAxSbFQygb+x4tKLhXXooZzulQYbVPIJL1O/5NLhwI3QkYgzya89pCtX+E4TvxPsq+NUfviXeoqUCblcCKscTvvDty0KnmvU1taZf9H3Pp6Hbxf/+OhzCwNNZmanyKdsha4/hCf5DBnKzD+EUCXBw4ME9QncQ37P6DkR8A78cDO6cDhnwLn/smX7XITf9/8TJcKayRzvUZs/WWW9jXizHGc+G8jmHVuQmJFXgh+b/vzvENF3Cqlj3JX5NKhwI2QEUjrZ8QtFNMgeSFa51ZzsROdNicUMom4zcVwJgTC51v4wK2vkYlgR9ycLs96qWDW+g1V6bEhpUwEMn4MzHgR+NEx3FG/FY/VPIXapHsBzRh34kMpcPx54PObgXcSgY+nAIcew01xXyJZdtH/iJufveCEIM67NFgwv//9WedWISZWDH6keDhkllJiwvBD456EjEBCoNHWZRcrJ4QicBO2aBhs4CCMGOUYNJAN01JX3oRAuK7d4v659/VIwa5xO91sRpfdCZU8uAA2/1JsCTKELHYnDjWo4WJX47+vmAvoVHz5rfoSoKEEaPwcaK8AWr8FWr/FfwL4zwKgzpwG7J8HJM8BkmeDaXP81goVX5967xG3wHVKBcK/jWDqhva1eXB/JA6DTXhpK5DhhwI3QkYgYWrv7MVOsdB5Ygj+og5mi4ZgiOu6IiAxAfCtVwr0vocbf963XmwgwjRprkEbVBkxfyNKkaSy3gQX4zMqxQzPmHQg+x7+AICuOqDhc6DxC1gulEBh+g5G6QWg+nX+AMDkCVhnHItvuvIwjqkAxxWALFacvqyo85RmCyYwEbcE6WPEzeZw4WQjv75zMJvvCjwBYxinSnvZKoWEBwVuhIxAQuBQ3cwvYo+LkYckC1HYoqG2zYK2Tjv0MQPLhAs2k3K46D412lcGoJgc0sd2IP19HYRg4UIbn9kYTB3U4cSzPkwbeD2V2ghk3gFk3gGp04Vpq9/FJOUxvDDPDJ3pANB8EBL7RczVXcRc3dfAvv8DOCkQNwmZibOwMCkWB9tzcKapA2NStGjspU6pQBiN62vK8lRTB+xOBq1ShlFx6gG8At2ed1hMlfY9IkkuLQrcCBmBhMChppnf2DVUf03rVHKk6VW40GZBRb0JM7MTBvQ4kRa4dZ8aDd2IW//2stOrPa9/Zb0JM7IG9vqHSzAb73qTSyUwJBpQUheDQ/rpuHaWAXDa8M6ej/D9tztw06jTuFxdDnSdB1rKIGkpwzNpANIA296ngZRZKHKkwqHNQKoqM+DzBFt+yrvUVSgW8g+HTXhDtV0QCR0K3AgZgYTAwiFMk4awMkGuUTuowK3dYsc59yL/SNgKBOgZqPVWp5Q/H1yt0oEEsMLrf7y2PfICt9r+L+zPMWhxvM6E43UmXJtnAKQKfHExC+8334yk6bm4/JpxgPks0HwAaDqA0xV7kOoshxItQO1O3KkG7swGUP4b4EwWkDiTPxKmAwmXA3Jt0GvcjnmNGIZCkvvfZbM5fFOljbTGbdihwI2QEaj7CFEod0TPMWqxt6JxwMXmhVGLVL0KcTGRMT3TPVALdsTN5nAF3NS1tdMm7vzfn0AgL1WHvRWNkZVZCr7iwPF+ZNAKco1a4FvfLUGOdy85FTuaPzJux2ed1Vjz0bd4IL8dv5zVig/2fICJqkqMVZ0DzKf5o+Zt9yNxgC4HV8gnYlFSHJqsEwH7BEDu//043s8Rw74MpE5qqFFywvBDgRshI1D3NVjJIfxQHuyWIJE2TQr0DNT6yioVNlYF+MxSf4Fbuft1SI9X92vXfH97lUWC+nYrWjv7X3Egt1sms93Ze4JAnlELO5Pjk7rReDzrbjxRMxYA8P2vZiHW/C3Q/DVfa/XiIaDzLNBegWRU4NdCVa6tTwDa8UD8VH5ELn4qf6iS/G5BMhhJQSZFDCXhuZNpjduwQYEbISNQ90AjlHs05Ro8mXsDqbE4kOmycJNLJVDJJbDY+ZqXfe3jJpVw0CplMFkdMFnsfmtk9nd9m0AY7Rno6x8uwvs+Jim2X+XShODsVKMZdqcL1U1m2J0MGqUM6fE9EwSE62suduKMOzlHLZciVpsEaOcCxrmeiy0NwMVSdNUfxOcHdmKiugppiibAVMkfNVvES13q0fhdvBHlqjEocJqA9mmAdixfx3WAhH+XZpsTXTYn1IrBlZHrL6vDKa7DpBG34YMCN0JGoO6B22DLXXkbmxILqYRDu8WBunYLUvX9y64baMASbjqVHBY7PzrR14gbf40QuPlPUBjoyOOY5FjIpRw6rA6ca+nCaHeZp+FOTEzoZ39HxakRq5DCbHPiTLNZHHnLMWj8Bq2JGiWStUo0mqzYf7IZQC8Zk6oUIO0GqFKvx7J3ZsDuZDjw5AQYnceBljKg5TBwsQzoqIKk6yyKdGdRpPsa+Mod0Mk0QNxEIG6S71dFXFB90yhlUMoksDpcaOqwXvL3stmdmCCXchGXoRzNKHAjZASKVcjAcXz9byC0f00rZVJkJ8WiqqEDx+tM/Qrc+lspYDjRqmRocE8rCckHvdGp5bjQZgmYoBBsqavu5FIJxiZrcLzOhIo6U8QEbsfFgL1/I60SCYfxBi2+Odvq7nPPUlfd5Rm1aDRZ8a8TTQD6/v3ny14pUdtmQb1ND+Po+UDafM8F9nbs+Ncn2F+6B0WpdfhB0nmg7Sjg6ACa9vOHt5jRfACnnwDETQD0lwG6fL4cmJ/nPd/aFZbATaxjHEvlroYTCtwIGYEk7qk6zzRIaNev5Bq1qGroQGWdCdfkpgR9vzPuSgHKCCl15c17lC2YNWm9VU+wO104Uc+v0xpIrdY8o5Bp2Y6iAkO/7x8OwsL+gWy6nGfkA7dKd7Aq3BZIfqoO/zrRhK+q+RG3YNZ4CoGb30QBuQ6ft+bhreYYaCeNxQ/m5wEuB2A6AbQe4Y+WI0Dbd4D5DL92rvMscOFjz2NwEkAzlg/i9AXi1zQNw/nW8NQrFQrM0x5uwwsFboSMUFqVfMjWr+QatPgItf1OUPAuUxRMpYDhxHv6OZjATbim3c8mvCcbO2BzugKu0+pLXqoO+OZCxCQoWOxOnGzk15sNZCsN71Jr/kpddSckNAhrEoPJqvYUfPefKNAjo1QiA/T5/JG50HOhrRVoPcqPyAlf244C1mY+0DOdAM69L16+JZ5DTawR8soCwHo5oMvjR+f0eYAivs92DwZllA5PFLgRMkJ5BxohD9wGmNkoruuKkFJX3ry3BOlrOxDva/yNuHknaEgGEMDmRljN0qqGDjhdDHq1HEadqt/3F0bXys62iqNEvY24dQ8Og/n9720TXpeLiduR9JlUo4gDUubwh4AxwFLvDuLK3cf3QNv3kNhakKWsBTprgWN7fB9LZQB0uYA2l/8qfK/J5gPHQaLNd4cnCtwIGaGEEZ9YhTTk2WrCf15VjR1wOF1BF4r3LMiPnIxSgXcmqSaowI1//U1+1rgNNkFDeP1PNZlhdTihlF3abMT+8uzfNrCKA0KpNSFoM+iUve4BOC5FA6mEE+v0JgexVEAYlWv0szXHuZYumG1OKKQDnOLnOL6Ul9oIGIs8tzOGv+74El+Wfo57C7pwY2Yr0H6cPzrP8cGepZ6v3epNIuenXbXj3UeO5/uYUUFnujZSndJhiQI3QkYoYcQnlJvvCkbHx0Atl6LL7sTp5s6g9+WK1IxSwBOIxSikQdV99VRPCDziNtDXwahTQa+Wo63LjqqGDlyWph/Q41wqx2sHt3FtkkaJJI1CHCHqLTEB4BNoxiTF4kRDh3j/YJ4D8D9VKkyTjkvRBP1HSlA4DjG6UdhvnowEaypunH6555zd5A7iKvjDVOn56uzyBHjdSVXuoG4coBnHfxW+j0n3GakT+upvuxoSPhS4ETJCCVN7oSx3JZBIOOQYNPj2XBsq6kxBBW5tXXacb+VLXYVq5/lLSRhxC2aalL9OqFfqb8RtcCOPHMch16jFweqLOF5rGvaBm7AVyGBGWnMMWjR18MkGwewBmGvUegK3IAKT5F6qGAgjhqEqdeUtYL1SuRZInMEf3piLH40zVfLr5drdX02VQEc14LSI07A9cDIgNgvQjAE0Y3CFVQa7ToexUhlgiw96GxMytChwI2SEEkfchmgaJMegxbfn2rB25zH8/ctqOFwMTpcLDicDY/x0YnyMHHq1AnExcljsTgD8vlz6mMjbM0oIxIKtciBcV9tqwXfn2mBzOmF1uNDaaUdThw0c1/sC+77kuwO3inp+I95OmxMmiwMdVjtMFgdcDJBJOEi7HQqpBAqZBEoZ/1UhlQxoFIkxhnaLA40mC+rbrWgwWdBoskIqkSBJo0BirBKJGgUSYxXiViCDCdhzDFr8270vm1jqqhf5qTp8eKQWQLAjbkJyQs81boPJiA3+eYOsnsBJgNgM/vCedgUAlx0w1wCmKqCjiv8qfN9RDbis7u+rAAD3KoF7swBU/wGoBiCP49fPabKB2Gx3kJfFf43NDFgKjIQWBW6EjFDx7jVAhgEsBg/G9Kx4bC09h7MXu3D2YlfQ94vEaVLAEwgHP+LGX7f/VDNu+usXPc5nJ8YiRjHwj2hhuvDVL6rxyr9Owb2ca0CkEg4xCim0Shm0Kjk0Khm0Khk0ShkYAzptDnTanOiyO/mvNieazVYxazMYEs6THToQ3qNswQS83sFdMNvhCFuG1FzsxJNbvkGqXoXUODXS9CocPS/sHRf6wEV43oZ2K/757QWcaTLjdHMnTjebcabZDJvDhRSdCgadEgatCsnurxwHNJisqG/nA+b6dgsaTFZIOA6ZiRpkJc5GZuI8ZCfFInNsLGQcQ11dFdqbKmFvq4LUXA2lpRqjFXWYoL8Imb0JsLe6Nx4u899YRYI7iMvgA7nYTCDG63tlEr+ejwwKBW6EjFB3zBiNZrMVD8zOGpLHX3B5Ogw6FTptTkg4jh/dkXKQchw4DjBbHWjttKOl047WLhvaOu2wOlxYNCd7SNoz1ArHJiLXoMWtU0cFdf0VYxIxPkWDZrOtxyiXSi7FQ7MH9zoUjk2ETMLB4RWxSSUcNEo+4BIW5ztcLjhd4EdDXQx2pws2h8sn0HO6GEwWd5UHd+H7YGlVMhjcgUWyRgmHi+Gi2YbmDhuazVZcNNvgYsAPcpIHlSQjJCgEW+t0YroeUglfEcC7dmwgo+I9FRq2lZ33e81QTJUKVU1MVgcee8t/wNRu6UCVe9o3GBfNNpTVtAY4GwdguvsAUvUq7C2+GjJ0AebT/MicuRroOM3/LBy2FsB2kT9aDvt/6PkHe07tkn7jGGOD+DssOpw7dw6jR4/G2bNnkZ6eHu7mEEJISDSYLGjvckDrHiFTy6VBZ206nC5YHXwQZ3W40GlzuKda+fqqQiAnlXBQK6RQy6WIcWcoxyj4afAUrarPYMzpYmjvsiMuRj6o3fkdThee2votMhJjsXxeTlD3+eJEE/RqOSamB7cG8OzFThyuaUFtmwUXWrtwodWC2rYu1LVZMGtMAtbffXnIKwwwxrBk02EcOtOCrMQYZCXGIispFpnu75UyCRpM/FR0fbsVDe1W1JssYIwhRatCinsELkWnhEGngt3pQk1zJ6qbzTjTxI/cnW42w+liyEyM5R8/MQaZSfzXHIM2uNqxtjZ+c2Hh6Kzx/b6rFritni8jFkIj8f/vqAnc1q9fj2effRZ1dXWYPHkyXnjhBcycOTOo+47EN54QQgi5ZJxWQKII+VTpSPz/O4R5y+GzZcsWLF++HKtWrcLhw4cxefJkzJ8/Hw0NDeFuGiGEEEKkSlrfFiJREbg9//zz+MlPfoIHH3wQBQUFeOmllxATE4O///3v4W4aIYQQQkjIRHzgZrPZUFpaiqIiT9qzRCJBUVER9u/f7/c+VqsV7e3t4mEyRUZZGEIIIYSMbBEfuDU1NcHpdMJgMPjcbjAYUFdX5/c+a9asgV6vF4+CgoJL0VRCCCGEkEGJ+MBtIH7xi1+gra1NPMrLy8PdJEIIIYSQPkX8Pm5JSUmQSqWor6/3ub2+vh5Go9HvfZRKJZRKz07Z7e3tQ9pGQgghhJBQiPgRN4VCgWnTpmHPnj3ibS6XC3v27EFhYWEYW0YIIYQQEloRP+IGAMuXL0dxcTGmT5+OmTNnYt26dTCbzXjwwQfD3TRCCCGEkJCJisBt4cKFaGxsxMqVK1FXV4cpU6Zg586dPRIWCCGEEEIiWVQEbgCwbNkyLFu2LNzNIIQQQggZMhG/xo0QQgghZKSgwI0QQgghJEJQ4EYIIYQQEiEocCOEEEIIiRBRk5wwGC6XCwBQW1sb5pYQQgghJFjC/9vC/+MjAQVugFh1YebMmWFuCSGEEEL6q76+HhkZGeFuxiXBMcZYuBsRbg6HA2VlZTAYDJBI+j97bDKZUFBQgPLycmi12iFo4fBC/Y1+I63P1N/oRv2NXi6XC/X19Zg6dSpkspExFkWBWwi0t7dDr9ejra0NOp0u3M0ZctTf6DfS+kz9jW7UXxJNKDmBEEIIISRCUOBGCCGEEBIhKHALAaVSiVWrVkGpVIa7KZcE9Tf6jbQ+U3+jG/WXRBNa40YIIYQQEiFoxI0QQgghJEJQ4EYIIYQQEiEocCOEEEIIiRAUuBFCCCGERAgK3EJg/fr1yMrKgkqlwqxZs3Dw4MFwNykkPv/8c9x0001IS0sDx3F4//33fc4zxrBy5UqkpqZCrVajqKgIJ06cCE9jQ2DNmjWYMWMGtFotUlJScMstt6CiosLnGovFgqVLlyIxMREajQYLFiwQS6ZFmg0bNmDSpEnQ6XTQ6XQoLCzEjh07xPPR1Fd/1q5dC47j8MQTT4i3RVOfV69eDY7jfI68vDzxfDT1VXD+/Hnce++9SExMhFqtxsSJE3Ho0CHxfDR9ZmVlZfV4fzmOw9KlSwFE5/tLeBS4DdKWLVuwfPlyrFq1CocPH8bkyZMxf/58NDQ0hLtpg2Y2mzF58mSsX7/e7/k//vGP+Mtf/oKXXnoJX331FWJjYzF//nxYLJZL3NLQKCkpwdKlS3HgwAHs3r0bdrsd1113Hcxms3jNk08+ie3bt2Pr1q0oKSnBhQsXcNttt4Wx1QOXnp6OtWvXorS0FIcOHcK1116Lm2++Gd9//z2A6Oprd19//TX+93//F5MmTfK5Pdr6fNlll6G2tlY8vvjiC/FctPW1paUFs2fPhlwux44dO1BeXo7nnnsO8fHx4jXR9Jn19ddf+7y3u3fvBgDcfvvtAKLv/SVeGBmUmTNnsqVLl4o/O51OlpaWxtasWRPGVoUeALZt2zbxZ5fLxYxGI3v22WfF21pbW5lSqWRvvfVWGFoYeg0NDQwAKykpYYzx/ZPL5Wzr1q3iNceOHWMA2P79+8PVzJCKj49nr7zySlT31WQysfHjx7Pdu3ezq666ij3++OOMseh7f1etWsUmT57s91y09ZUxxlasWMHmzJkT8Hy0f2Y9/vjjbOzYsczlckXl+0s8aMRtEGw2G0pLS1FUVCTeJpFIUFRUhP3794exZUOvuroadXV1Pn3X6/WYNWtW1PS9ra0NAJCQkAAAKC0thd1u9+lzXl4eMjIyIr7PTqcTmzdvhtlsRmFhYVT3denSpbjxxht9+gZE5/t74sQJpKWlYcyYMbjnnntQU1MDIDr7+s9//hPTp0/H7bffjpSUFEydOhUvv/yyeD6aP7NsNhveeOMNPPTQQ+A4LirfX+JBgdsgNDU1wel0wmAw+NxuMBhQV1cXplZdGkL/orXvLpcLTzzxBGbPno0JEyYA4PusUCgQFxfnc20k9/m7776DRqOBUqnEww8/jG3btqGgoCAq+woAmzdvxuHDh7FmzZoe56Ktz7NmzcJrr72GnTt3YsOGDaiursZ//Md/wGQyRV1fAeDUqVPYsGEDxo8fj08++QSPPPIIHnvsMbz++usAovsz6/3330drayseeOABANH3u0x8ycLdAEKGo6VLl+Lo0aM+a4KiUW5uLr755hu0tbXhnXfeQXFxMUpKSsLdrCFx9uxZPP7449i9ezdUKlW4mzPkbrjhBvH7SZMmYdasWcjMzMTbb78NtVodxpYNDZfLhenTp+MPf/gDAGDq1Kk4evQoXnrpJRQXF4e5dUPr1VdfxQ033IC0tLRwN4VcAjTiNghJSUmQSqU9MnXq6+thNBrD1KpLQ+hfNPZ92bJl+PDDD7F3716kp6eLtxuNRthsNrS2tvpcH8l9VigUGDduHKZNm4Y1a9Zg8uTJ+POf/xyVfS0tLUVDQwMuv/xyyGQyyGQylJSU4C9/+QtkMhkMBkPU9dlbXFwccnJyUFVVFZXvb2pqKgoKCnxuy8/PF6eHo/Uz68yZM/j000+xePFi8bZofH+JBwVug6BQKDBt2jTs2bNHvM3lcmHPnj0oLCwMY8uGXnZ2NoxGo0/f29vb8dVXX0Vs3xljWLZsGbZt24bPPvsM2dnZPuenTZsGuVzu0+eKigrU1NREbJ+7c7lcsFqtUdnXuXPn4rvvvsM333wjHtOnT8c999wjfh9tffbW0dGBkydPIjU1NSrf39mzZ/fYvqeyshKZmZkAovMzCwA2btyIlJQU3HjjjeJt0fj+Ei/hzo6IdJs3b2ZKpZK99tprrLy8nP3Xf/0Xi4uLY3V1deFu2qCZTCZWVlbGysrKGAD2/PPPs7KyMnbmzBnGGGNr165lcXFx7IMPPmBHjhxhN998M8vOzmZdXV1hbvnAPPLII0yv17N9+/ax2tpa8ejs7BSvefjhh1lGRgb77LPP2KFDh1hhYSErLCwMY6sH7umnn2YlJSWsurqaHTlyhD399NOM4zi2a9cuxlh09TUQ76xSxqKrzz/96U/Zvn37WHV1Nfvyyy9ZUVERS0pKYg0NDYyx6OorY4wdPHiQyWQy9vvf/56dOHGCbdq0icXExLA33nhDvCbaPrOcTifLyMhgK1as6HEu2t5f4kGBWwi88MILLCMjgykUCjZz5kx24MCBcDcpJPbu3csA9DiKi4sZY3x6/a9//WtmMBiYUqlkc+fOZRUVFeFt9CD46ysAtnHjRvGarq4utmTJEhYfH89iYmLYrbfeympra8PX6EF46KGHWGZmJlMoFCw5OZnNnTtXDNoYi66+BtI9cIumPi9cuJClpqYyhULBRo0axRYuXMiqqqrE89HUV8H27dvZhAkTmFKpZHl5eexvf/ubz/lo+8z65JNPGAC/fYjG95fwOMYYC8tQHyGEEEII6Rda40YIIYQQEiEocCOEEEIIiRAUuBFCCCGERAgK3AghhBBCIgQFboQQQgghEYICN0IIIYSQCEGBGyGEEEJIhKDAjRAS9a6++mo88cQTl/x59+3bB47jetSMDKVw9Y0QEh4UuBESpR544AFwHNfjuP7668PdNL/ee+89XHfddUhMTATHcfjmm296XGOxWLB06VIkJiZCo9FgwYIFPkXDL0Wg1B9XXnklamtrodfrw90UQkiUoMCNkCh2/fXXo7a21ud46623huz5GGNwOBwDuq/ZbMacOXPwzDPPBLzmySefxPbt27F161aUlJTgwoULuO222wba3CGnUChgNBrBcVy4m0IIiRIUuBESxZRKJYxGo88RHx8PALj77ruxcOFCn+vtdjuSkpLwj3/8AwDgcrmwZs0aZGdnQ61WY/LkyXjnnXfE64URrh07dmDatGlQKpV44403IJFIcOjQIZ/HXrduHTIzM+Fyufy29b777sPKlStRVFTk93xbWxteffVVPP/887j22msxbdo0bNy4Ef/+979x4MABnD59Gtdccw0AID4+HhzH4YEHHhDv73K58POf/xwJCQkwGo1YvXp1n6/fK6+8gvz8fKhUKuTl5eHFF18Uz50+fRocx2Hz5s248soroVKpMGHCBJSUlPR4fYQRwDNnzuCmm25CfHw8YmNjcdlll+Hjjz8Wry8pKcHMmTOhVCqRmpqKp59+2icQNpvNuP/++6HRaJCamornnnuuR5utViueeuopjBo1CrGxsZg1axb27dvXZ18JIREizLVSCSFDpLi4mN18880Bz3/44YdMrVYzk8kk3rZ9+3amVqtZe3s7Y4yx//mf/2F5eXls586d7OTJk2zjxo1MqVSyffv2McYY27t3LwPAJk2axHbt2sWqqqpYc3MzmzdvHluyZInP802aNImtXLmyz3ZXV1czAKysrMzn9j179jAArKWlxef2jIwM9vzzzzOHw8Heffddseh2bW0ta21tZYzxxeR1Oh1bvXo1q6ysZK+//jrjOI7t2rUrYDveeOMNlpqayt5991126tQp9u6777KEhAT22muv+bQzPT2dvfPOO6y8vJwtXryYabVa1tTU5PP6CG2+8cYb2bx589iRI0fYyZMn2fbt21lJSQljjLFz586xmJgYtmTJEnbs2DG2bds2lpSUxFatWiW26ZFHHmEZGRns008/ZUeOHGE/+tGPmFarZY8//rh4zeLFi9mVV17JPv/8c1ZVVcWeffZZplQqWWVlZZ+vPSFk+KPAjZAoVVxczKRSKYuNjfU5fv/73zPGGLPb7SwpKYn94x//EO9z1113sYULFzLGGLNYLCwmJob9+9//9nncRYsWsbvuuosx5glM3n//fZ9rtmzZwuLj45nFYmGMMVZaWso4jmPV1dV9tjtQ4LZp0yamUCh6XD9jxgz285//3Kc93YO7q666is2ZM6fH/VasWBGwHWPHjmVvvvmmz22/+93vWGFhoU87165dK5632+0sPT2dPfPMM37bM3HiRLZ69Wq/z/fLX/6S5ebmMpfLJd62fv16ptFomNPpZCaTiSkUCvb222+L55ubm5larRYDtzNnzjCpVMrOnz/v89hz585lv/jFLwL2lRASOWRhGugjhFwC11xzDTZs2OBzW0JCAgBAJpPhjjvuwKZNm3DffffBbDbjgw8+wObNmwEAVVVV6OzsxLx583zub7PZMHXqVJ/bpk+f7vPzLbfcgqVLl2Lbtm2488478dprr+Gaa65BVlZWiHsYvEmTJvn8nJqaioaGBr/Xms1mnDx5EosWLcJPfvIT8XaHw9Ej0aCwsFD8XiaTYfr06Th27Jjfx33sscfwyCOPYNeuXSgqKsKCBQvEdh07dgyFhYU+6+Fmz56Njo4OnDt3Di0tLbDZbJg1a5Z4PiEhAbm5ueLP3333HZxOJ3Jycnye12q1IjEx0W+bCCGRhQI3QqJYbGwsxo0bF/D8Pffcg6uuugoNDQ3YvXs31Gq1mHXa0dEBAPjoo48watQon/splcoez+NNoVDg/vvvx8aNG3HbbbfhzTffxJ///OdB9cVoNMJms6G1tRVxcXHi7fX19TAajX3eXy6X+/zMcVzA9XZC319++WWfQAkApFJpP1vusXjxYsyfPx8fffQRdu3ahTVr1uC5557Do48+OuDH9NbR0QGpVIrS0tIe7dRoNCF5DkJIeFFyAiEj2JVXXonRo0djy5Yt2LRpE26//XYxwCkoKIBSqURNTQ3GjRvnc4wePbrPx168eDE+/fRTvPjii3A4HIPO/pw2bRrkcjn27Nkj3lZRUYGamhpx1EuhUAAAnE7noJ7LYDAgLS0Np06d6tH37Oxsn2sPHDggfu9wOFBaWor8/PyAjz169Gg8/PDDeO+99/DTn/4UL7/8MgAgPz8f+/fvB2NMvPbLL7+EVqtFeno6xo4dC7lcjq+++ko839LSgsrKSvHnqVOnwul0oqGhoUe7gwluCSHDH424ERLFrFYr6urqfG6TyWRISkoSf7777rvx0ksvobKyEnv37hVv12q1eOqpp/Dkk0/C5XJhzpw5aGtrw5dffgmdTofi4uJenzs/Px9XXHEFVqxYgYceeghqtbrX6y9evIiamhpcuHABAB+UARCzYfV6PRYtWoTly5cjISEBOp0Ojz76KAoLC3HFFVcAADIzM8FxHD788EP88Ic/hFqtHvBI029+8xs89thj0Ov1uP7662G1WnHo0CG0tLRg+fLl4nXr16/H+PHjkZ+fjz/96U9oaWnBQw895Pcxn3jiCdxwww3IyclBS0sL9u7dKwZ5S5Yswbp16/Doo49i2bJlqKiowKpVq7B8+XJIJBJoNBosWrQIP/vZz5CYmIiUlBT86le/gkTi+fs7JycH99xzD+6//34899xzmDp1KhobG7Fnzx5MmjQJN95444BeC0LIMBLuRXaEkKFRXFzMAPQ4cnNzfa4rLy9nAFhmZqbPwnjGGHO5XGzdunUsNzeXyeVylpyczObPny9mQgZKBhC8+uqrDAA7ePBgn+3duHGj3/Z6Z1V2dXWxJUuWsPj4eBYTE8NuvfVWVltb6/M4v/3tb5nRaGQcx7Hi4mLGGJ+c4J15yRhjN998s3g+kE2bNrEpU6YwhULB4uPj2Q9+8AP23nvvMcY8yQlvvvkmmzlzJlMoFKygoIB99tln4v27vz7Lli1jY8eOZUqlkiUnJ7P77rtPzEBljLF9+/axGTNmMIVCwYxGI1uxYgWz2+3ieZPJxO69914WExPDDAYD++Mf/9ijbzabja1cuZJlZWUxuVzOUlNT2a233sqOHDnSxztACIkEHGNe4/KEEBJCv/vd77B161YcOXIk3E0JudOnTyM7OxtlZWWYMmVKuJtDCBkhaI0bISTkOjo6cPToUfz1r38N2cJ7QgghFLgRQobAsmXLMG3aNFx99dUB13sRQgjpP5oqJYQQQgiJEDTiRgghhBASIShwI4QQQgiJEBS4EUIIIYRECArcCCGEEEIiBAVuhBBCCCERggI3QgghhJAIQYEbIYQQQkiEoMCNEEIIISRCUOBGCCGEEBIh/j+ojruX+R9tBAAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training took 4.0 minutes and 46.78670358657837 seconds\n",
            "S1: ['Livingroom', [], ['open door']]\n",
            "S2: ['Livingroom', [], ['close door', 'go east']]\n",
            "S3: ['Kitchen', [], ['close door', 'go west', 'open fridge']]\n",
            "S4: ['Kitchen', [], ['open door', 'open fridge']]\n",
            "S5: ['Kitchen', [], ['close fridge', 'open door', 'take apple from fridge']]\n",
            "S6: ['Kitchen', ['apple.'], ['close fridge', 'drop apple', 'eat apple', 'insert apple into fridge', 'open door']]\n",
            "S7: ['Kitchen', [], ['close fridge', 'open door', 'take apple']]\n",
            "S8: ['Kitchen', [], ['close door', 'close fridge', 'go west', 'take apple']]\n",
            "S9: ['Kitchen', [], ['close door', 'go west', 'open fridge', 'take apple']]\n",
            "S10: ['Kitchen', ['apple.'], ['close door', 'drop apple', 'eat apple', 'go west', 'open fridge']]\n",
            "S11: ['Livingroom', ['apple.'], ['close door', 'drop apple', 'eat apple', 'go east', 'put apple on table']]\n",
            "S12: ['Kitchen', [], ['close door', 'close fridge', 'go west']]\n",
            "S13: ['Kitchen', [], ['close fridge', 'open door']]\n",
            "S14: ['Kitchen', ['apple.'], ['drop apple', 'eat apple', 'open door', 'open fridge']]\n",
            "S15: ['Kitchen', ['apple.'], ['close door', 'close fridge', 'drop apple', 'eat apple', 'go west', 'insert apple into fridge']]\n",
            "S16: ['Kitchen', [], ['open door', 'open fridge', 'take apple']]\n",
            "S17: ['Livingroom', ['apple.'], ['drop apple', 'eat apple', 'open door', 'put apple on table']]\n",
            "S18: ['Livingroom', [], ['open door', 'take apple']]\n",
            "S19: ['Kitchen', [], ['close door', 'close fridge', 'go west', 'take apple from fridge']]\n",
            "S20: ['Livingroom', [], ['close door', 'go east', 'take apple from table']]\n",
            "Action taken in step 1: open door\n",
            "Action taken in step 2: go east\n",
            "Action taken in step 3: open fridge\n",
            "Action taken in step 4: take apple from fridge\n",
            "Action taken in step 5: go west\n",
            "Action taken in step 6: put apple on table\n",
            "Finished in 6 moves\n",
            "Actions taken:\n",
            "open door > go east > open fridge > take apple from fridge > go west > put apple on table > Total TextWorld training took 5.0 minutes and 7.413982152938843 seconds\n"
          ]
        }
      ],
      "source": [
        "# (Άλλαξα το reward σε 100 + 100/step)\n",
        "\n",
        "for env_name in env_names:\n",
        "\n",
        "    # Load env\n",
        "    game_file = '/usr/local/lib/python3.10/dist-packages/textworld/Created_Games/' + env_name + '.ulx'\n",
        "    env, obs, infos = load_game(game_file=game_file)\n",
        "\n",
        "    # Make agent\n",
        "    agent = Q_agent(env)\n",
        "\n",
        "    # Train\n",
        "    agent.reset()\n",
        "    agent.train(max_epochs=5, max_eps=150, title=env_name, min_expl=0.05, expl_decay_rate=0.004,\n",
        "                    gamma=0.9, user_input=user_inputs[env_name])\n",
        "\n",
        "    # Test\n",
        "    action_courses[env_name] = agent.test()\n",
        "\n",
        "toc(start, 'Total TextWorld training') # End timer. This timed the total TextWolrd training"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JKb3TeCwI_um"
      },
      "source": [
        "### **Preprocess**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "goIh0w6QKkYB",
        "outputId": "7239e5e3-8011-45e7-a32e-be2c4f5d3ada"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "{'Easy': ['take apple', 'put apple on table'], 'Medium_2': ['open door', 'open fridge', 'take apple from fridge', 'put apple on table']}\n",
            "{'Easy': ['take apple', 'put apple on table'], 'Medium_2': ['open door', 'open fridge', 'take apple from fridge', 'put apple on table']}\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/ipykernel/ipkernel.py:283: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.\n",
            "  and should_run_async(code)\n"
          ]
        }
      ],
      "source": [
        "import pickle\n",
        "\n",
        "def filter_actions(action_courses):\n",
        "    rmv_actions = ['go east', 'go west', 'go north', 'go south']\n",
        "    for action_course, actions_taken in action_courses.items():\n",
        "        for sentence in actions_taken:\n",
        "            if 'unlock' in sentence:\n",
        "                action_courses[action_course].remove(sentence)\n",
        "        action_courses[action_course] = list(filter(lambda action: action not in rmv_actions, actions_taken))\n",
        "    return action_courses\n",
        "\n",
        "def reset(envs):\n",
        "    for env_name in envs:\n",
        "        !cd /usr/local/lib/python3.10/dist-packages/rl-starter-files/storage && \\\n",
        "        rm -rf {env_name} -v\n",
        "\n",
        "action_courses = filter_actions(action_courses)\n",
        "print(action_courses)\n",
        "# action_courses['Hard'] = ['take key', 'open door', 'open fridge', 'take apple from fridge', 'put apple on table']\n",
        "# action_courses['Medium'] = ['open door', 'open fridge', 'take apple from fridge', 'put apple on table']\n",
        "print(action_courses)\n",
        "\n",
        "with open('/usr/local/lib/python3.10/dist-packages/rl-starter-files/storage/action_courses', 'wb') as fp:\n",
        "    pickle.dump(action_courses, fp)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "krY0s4MSprAh"
      },
      "source": [
        "### **MiniGrid Training**\n",
        "\n",
        "Time to train the home environment simulator (i.e. MiniGrid) agent. We do this both using the deduced sub-tasks from TextWorld and without them for comparison.\n",
        "\n",
        "Notice that the only connection between MiniGrid and Textworld are the deduced sub-tasks saved in the variable **action_courses**."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cMAm2vZySMzw",
        "outputId": "ad2e2750-df02-4082-ce0e-5d647d883779"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/rl-starter-files/scripts/train.py --algo ppo --env MiniGrid-Sparse_Easy-v0 --frames 614400 --model Sparse_Easy --recurrence 8\n",
            "\n",
            "Namespace(algo='ppo', env='MiniGrid-Sparse_Easy-v0', model='Sparse_Easy', seed=1, log_interval=1, save_interval=10, procs=16, frames=614400, epochs=4, batch_size=256, frames_per_proc=None, discount=0.99, lr=0.001, gae_lambda=0.95, entropy_coef=0.01, value_loss_coef=0.5, max_grad_norm=0.5, optim_eps=1e-08, optim_alpha=0.99, clip_eps=0.2, recurrence=8, text=False, mem=True)\n",
            "\n",
            "Device: cpu\n",
            "\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `reset()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "Environments loaded\n",
            "\n",
            "Training status loaded\n",
            "\n",
            "Observations preprocessor loaded\n",
            "Model loaded\n",
            "\n",
            "ACModel(\n",
            "  (image_conv): Sequential(\n",
            "    (0): Conv2d(3, 16, kernel_size=(2, 2), stride=(1, 1))\n",
            "    (1): ReLU()\n",
            "    (2): MaxPool2d(kernel_size=(2, 2), stride=(2, 2), padding=0, dilation=1, ceil_mode=False)\n",
            "    (3): Conv2d(16, 32, kernel_size=(2, 2), stride=(1, 1))\n",
            "    (4): ReLU()\n",
            "    (5): Conv2d(32, 64, kernel_size=(2, 2), stride=(1, 1))\n",
            "    (6): ReLU()\n",
            "  )\n",
            "  (memory_rnn): LSTMCell(64, 64)\n",
            "  (actor): Sequential(\n",
            "    (0): Linear(in_features=64, out_features=64, bias=True)\n",
            "    (1): Tanh()\n",
            "    (2): Linear(in_features=64, out_features=7, bias=True)\n",
            "  )\n",
            "  (critic): Sequential(\n",
            "    (0): Linear(in_features=64, out_features=64, bias=True)\n",
            "    (1): Tanh()\n",
            "    (2): Linear(in_features=64, out_features=1, bias=True)\n",
            "  )\n",
            ")\n",
            "\n",
            "Optimizer loaded\n",
            "\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "U 1 | F 002048 | FPS 1108 | D 1 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 0.0 0.0 0 0 | H 1.943 | V 0.060 | pL 0.013 | vL 0.000 | ∇ 0.017\n",
            "U 2 | F 004096 | FPS 1072 | D 3 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 0.0 0.0 0 0 | H 1.945 | V 0.061 | pL 0.011 | vL 0.000 | ∇ 0.003\n",
            "U 3 | F 006144 | FPS 0899 | D 6 | rR:μσmM 9.08 24.03 0.00 74.62 | F:μσmM 38.0 100.8 0.0 326.0 | H 1.930 | V 0.225 | pL -1.199 | vL 49.634 | ∇ 1.596\n",
            "U 4 | F 008192 | FPS 1265 | D 7 | rR:μσmM 15.00 31.55 0.00 94.69 | F:μσmM 41.7 100.5 0.0 326.0 | H 1.925 | V 0.178 | pL 0.034 | vL 0.002 | ∇ 0.029\n",
            "U 5 | F 010240 | FPS 1305 | D 9 | rR:μσmM 31.84 33.62 0.00 94.69 | F:μσmM 201.8 234.7 0.0 571.0 | H 1.923 | V 0.412 | pL -1.816 | vL 49.533 | ∇ 0.820\n",
            "U 6 | F 012288 | FPS 1308 | D 10 | rR:μσmM 38.66 30.00 0.00 94.69 | F:μσmM 334.3 279.3 0.0 752.0 | H 1.902 | V 0.579 | pL -0.656 | vL 13.775 | ∇ 0.677\n",
            "U 7 | F 014336 | FPS 1259 | D 12 | rR:μσmM 39.89 28.77 0.00 94.69 | F:μσmM 390.1 295.7 0.0 893.0 | H 1.877 | V 0.532 | pL -0.129 | vL 2.177 | ∇ 0.465\n",
            "U 8 | F 016384 | FPS 1279 | D 14 | rR:μσmM 29.99 26.73 0.00 81.55 | F:μσmM 736.2 251.7 205.0 1000.0 | H 1.900 | V 0.491 | pL -0.425 | vL 25.527 | ∇ 0.995\n",
            "U 9 | F 018432 | FPS 1339 | D 15 | rR:μσmM 32.65 30.72 0.00 95.59 | F:μσmM 706.6 298.6 49.0 1000.0 | H 1.890 | V 0.595 | pL -0.528 | vL 34.988 | ∇ 1.847\n",
            "U 10 | F 020480 | FPS 0866 | D 17 | rR:μσmM 30.76 31.36 0.00 95.59 | F:μσmM 727.6 309.5 49.0 1000.0 | H 1.866 | V 0.832 | pL -1.249 | vL 41.336 | ∇ 1.081\n",
            "Status saved\n",
            "U 11 | F 022528 | FPS 1132 | D 19 | rR:μσmM 34.46 33.70 0.00 95.59 | F:μσmM 686.5 333.5 49.0 1000.0 | H 1.881 | V 0.746 | pL -0.832 | vL 37.312 | ∇ 2.343\n",
            "U 12 | F 024576 | FPS 1270 | D 21 | rR:μσmM 51.07 25.43 0.00 95.59 | F:μσmM 536.7 269.5 49.0 1000.0 | H 1.861 | V 1.054 | pL -2.456 | vL 85.956 | ∇ 3.363\n",
            "U 13 | F 026624 | FPS 1383 | D 22 | rR:μσmM 62.26 28.34 0.00 93.43 | F:μσmM 405.4 285.1 73.0 1000.0 | H 1.829 | V 1.270 | pL -4.366 | vL 201.574 | ∇ 3.135\n",
            "U 14 | F 028672 | FPS 1317 | D 24 | rR:μσmM 75.01 24.36 0.00 95.68 | F:μσmM 270.8 249.8 48.0 1000.0 | H 1.739 | V 1.532 | pL -3.982 | vL 184.134 | ∇ 3.315\n",
            "U 15 | F 030720 | FPS 1285 | D 26 | rR:μσmM 81.50 14.89 43.12 97.39 | F:μσmM 205.6 165.4 29.0 632.0 | H 1.675 | V 1.702 | pL -6.151 | vL 279.680 | ∇ 6.046\n",
            "U 16 | F 032768 | FPS 1231 | D 27 | rR:μσmM 83.69 14.74 41.14 97.57 | F:μσmM 181.2 163.7 27.0 654.0 | H 1.639 | V 2.100 | pL -6.050 | vL 289.837 | ∇ 6.442\n",
            "U 17 | F 034816 | FPS 1032 | D 29 | rR:μσmM 79.91 17.91 43.66 97.93 | F:μσmM 223.2 199.0 23.0 626.0 | H 1.507 | V 2.455 | pL -7.323 | vL 315.255 | ∇ 7.937\n",
            "U 18 | F 036864 | FPS 0913 | D 31 | rR:μσmM 86.24 15.91 38.17 98.56 | F:μσmM 152.9 176.8 16.0 687.0 | H 1.297 | V 2.650 | pL -7.470 | vL 367.933 | ∇ 8.041\n",
            "U 19 | F 038912 | FPS 1247 | D 33 | rR:μσmM 87.60 10.61 61.93 98.02 | F:μσmM 137.8 117.9 22.0 423.0 | H 1.161 | V 2.634 | pL -7.548 | vL 352.231 | ∇ 7.238\n",
            "U 20 | F 040960 | FPS 1205 | D 35 | rR:μσmM 87.85 14.93 45.19 98.38 | F:μσmM 135.0 165.9 18.0 609.0 | H 1.283 | V 3.215 | pL -14.733 | vL 770.367 | ∇ 14.480\n",
            "Status saved\n",
            "U 21 | F 043008 | FPS 1294 | D 36 | rR:μσmM 91.43 10.36 50.77 98.56 | F:μσmM 95.2 115.2 16.0 547.0 | H 1.170 | V 3.405 | pL -12.505 | vL 619.860 | ∇ 18.195\n",
            "U 22 | F 045056 | FPS 1319 | D 38 | rR:μσmM 93.77 6.81 73.27 98.83 | F:μσmM 69.3 75.6 13.0 297.0 | H 1.139 | V 3.801 | pL -16.709 | vL 890.103 | ∇ 15.710\n",
            "U 23 | F 047104 | FPS 1323 | D 39 | rR:μσmM 92.67 9.06 57.07 99.10 | F:μσmM 81.5 100.7 10.0 477.0 | H 1.065 | V 4.524 | pL -18.889 | vL 996.710 | ∇ 23.050\n",
            "U 24 | F 049152 | FPS 1231 | D 41 | rR:μσmM 95.79 3.54 84.52 99.10 | F:μσmM 46.8 39.3 10.0 172.0 | H 1.018 | V 5.431 | pL -25.368 | vL 1376.278 | ∇ 20.233\n",
            "U 25 | F 051200 | FPS 0849 | D 44 | rR:μσmM 96.22 4.33 78.49 98.92 | F:μσmM 42.0 48.1 12.0 239.0 | H 0.939 | V 5.763 | pL -25.456 | vL 1398.524 | ∇ 21.874\n",
            "U 26 | F 053248 | FPS 1276 | D 45 | rR:μσmM 96.79 3.18 82.36 99.10 | F:μσmM 35.7 35.4 10.0 196.0 | H 0.949 | V 7.030 | pL -34.837 | vL 1993.929 | ∇ 44.733\n",
            "U 27 | F 055296 | FPS 1298 | D 47 | rR:μσmM 97.66 2.15 84.61 99.10 | F:μσmM 26.0 23.9 10.0 171.0 | H 0.869 | V 7.950 | pL -41.380 | vL 2418.802 | ∇ 33.810\n",
            "U 28 | F 057344 | FPS 1352 | D 48 | rR:μσmM 97.70 1.68 89.56 99.10 | F:μσmM 25.5 18.6 10.0 116.0 | H 0.798 | V 8.995 | pL -41.707 | vL 2438.579 | ∇ 39.350\n",
            "U 29 | F 059392 | FPS 1241 | D 50 | rR:μσmM 97.62 1.36 90.28 99.10 | F:μσmM 26.4 15.1 10.0 108.0 | H 0.756 | V 9.732 | pL -38.740 | vL 2135.723 | ∇ 57.078\n",
            "U 30 | F 061440 | FPS 1262 | D 52 | rR:μσmM 97.79 1.47 90.64 99.10 | F:μσmM 24.6 16.3 10.0 104.0 | H 0.687 | V 10.044 | pL -35.400 | vL 1999.733 | ∇ 36.403\n",
            "Status saved\n",
            "U 31 | F 063488 | FPS 1271 | D 53 | rR:μσmM 97.69 1.82 87.13 99.01 | F:μσmM 25.7 20.2 11.0 143.0 | H 0.647 | V 11.197 | pL -41.442 | vL 2318.924 | ∇ 27.340\n",
            "U 32 | F 065536 | FPS 1090 | D 55 | rR:μσmM 97.92 1.50 89.11 99.01 | F:μσmM 23.1 16.7 11.0 121.0 | H 0.578 | V 11.539 | pL -38.539 | vL 2173.101 | ∇ 43.400\n",
            "U 33 | F 067584 | FPS 0907 | D 57 | rR:μσmM 97.83 2.31 77.14 99.01 | F:μσmM 24.1 25.7 11.0 254.0 | H 0.506 | V 12.716 | pL -40.532 | vL 2252.845 | ∇ 44.389\n",
            "U 34 | F 069632 | FPS 1214 | D 59 | rR:μσmM 98.02 0.96 93.79 99.01 | F:μσmM 22.0 10.7 11.0 69.0 | H 0.496 | V 13.493 | pL -40.990 | vL 2314.356 | ∇ 45.215\n",
            "U 35 | F 071680 | FPS 1343 | D 61 | rR:μσmM 98.11 1.03 90.73 99.01 | F:μσmM 21.0 11.4 11.0 103.0 | H 0.442 | V 13.905 | pL -39.156 | vL 2228.600 | ∇ 58.980\n",
            "U 36 | F 073728 | FPS 1320 | D 62 | rR:μσmM 98.03 2.30 78.13 99.28 | F:μσmM 21.9 25.6 8.0 243.0 | H 0.424 | V 14.822 | pL -40.575 | vL 2346.333 | ∇ 61.527\n",
            "U 37 | F 075776 | FPS 1284 | D 64 | rR:μσmM 98.11 2.06 80.29 99.10 | F:μσmM 21.0 22.9 10.0 219.0 | H 0.393 | V 15.777 | pL -42.229 | vL 2384.671 | ∇ 36.215\n",
            "U 38 | F 077824 | FPS 1204 | D 65 | rR:μσmM 98.32 0.99 92.80 99.10 | F:μσmM 18.7 11.0 10.0 80.0 | H 0.347 | V 17.088 | pL -43.978 | vL 2479.890 | ∇ 29.277\n",
            "U 39 | F 079872 | FPS 1209 | D 67 | rR:μσmM 98.38 1.56 83.80 99.10 | F:μσmM 18.0 17.3 10.0 180.0 | H 0.285 | V 18.106 | pL -44.847 | vL 2568.932 | ∇ 47.132\n",
            "U 40 | F 081920 | FPS 0931 | D 69 | rR:μσmM 98.51 0.49 96.85 99.10 | F:μσmM 16.5 5.5 10.0 35.0 | H 0.250 | V 19.172 | pL -46.561 | vL 2610.401 | ∇ 19.505\n",
            "Status saved\n",
            "U 41 | F 083968 | FPS 1174 | D 71 | rR:μσmM 98.42 0.78 93.43 99.10 | F:μσmM 17.5 8.6 10.0 73.0 | H 0.234 | V 19.355 | pL -41.665 | vL 2286.664 | ∇ 28.774\n",
            "U 42 | F 086016 | FPS 1284 | D 73 | rR:μσmM 98.43 1.85 78.85 99.19 | F:μσmM 17.5 20.5 9.0 235.0 | H 0.187 | V 20.798 | pL -47.525 | vL 2638.089 | ∇ 19.194\n",
            "U 43 | F 088064 | FPS 1264 | D 74 | rR:μσmM 98.56 0.72 93.07 99.10 | F:μσmM 16.0 8.0 10.0 77.0 | H 0.162 | V 21.183 | pL -46.341 | vL 2521.091 | ∇ 21.644\n",
            "U 44 | F 090112 | FPS 1250 | D 76 | rR:μσmM 98.58 0.62 93.07 99.10 | F:μσmM 15.8 6.9 10.0 77.0 | H 0.129 | V 22.087 | pL -46.535 | vL 2536.453 | ∇ 18.525\n",
            "U 45 | F 092160 | FPS 1267 | D 78 | rR:μσmM 98.62 0.31 97.30 99.01 | F:μσmM 15.3 3.4 11.0 30.0 | H 0.128 | V 22.832 | pL -44.955 | vL 2439.463 | ∇ 14.254\n",
            "U 46 | F 094208 | FPS 1271 | D 79 | rR:μσmM 98.59 0.34 96.31 99.01 | F:μσmM 15.6 3.8 11.0 41.0 | H 0.112 | V 23.301 | pL -43.586 | vL 2304.714 | ∇ 9.601\n",
            "U 47 | F 096256 | FPS 0993 | D 81 | rR:μσmM 98.36 2.95 65.53 99.01 | F:μσmM 18.3 32.7 11.0 383.0 | H 0.076 | V 24.366 | pL -44.806 | vL 2356.542 | ∇ 5.097\n",
            "U 48 | F 098304 | FPS 0942 | D 83 | rR:μσmM 98.67 0.17 97.84 99.01 | F:μσmM 14.8 1.9 11.0 24.0 | H 0.053 | V 25.221 | pL -47.299 | vL 2488.263 | ∇ 5.834\n",
            "U 49 | F 100352 | FPS 1292 | D 85 | rR:μσmM 98.61 0.26 97.57 98.92 | F:μσmM 15.4 2.8 12.0 27.0 | H 0.047 | V 25.465 | pL -46.317 | vL 2404.194 | ∇ 4.392\n",
            "U 50 | F 102400 | FPS 1313 | D 87 | rR:μσmM 98.67 0.16 97.93 98.92 | F:μσmM 14.8 1.8 12.0 23.0 | H 0.036 | V 25.839 | pL -46.815 | vL 2438.790 | ∇ 3.559\n",
            "Status saved\n",
            "U 51 | F 104448 | FPS 1284 | D 88 | rR:μσmM 98.68 0.15 98.02 98.83 | F:μσmM 14.7 1.7 13.0 22.0 | H 0.041 | V 25.942 | pL -44.895 | vL 2326.198 | ∇ 10.829\n",
            "U 52 | F 106496 | FPS 1360 | D 90 | rR:μσmM 98.68 0.14 98.20 98.83 | F:μσmM 14.7 1.6 13.0 20.0 | H 0.077 | V 26.001 | pL -42.683 | vL 2217.836 | ∇ 4.726\n",
            "U 53 | F 108544 | FPS 1257 | D 91 | rR:μσmM 98.55 1.38 82.45 98.83 | F:μσmM 16.1 15.3 13.0 195.0 | H 0.035 | V 26.913 | pL -46.065 | vL 2358.645 | ∇ 2.810\n",
            "U 54 | F 110592 | FPS 1242 | D 93 | rR:μσmM 98.70 0.13 97.93 98.83 | F:μσmM 14.5 1.5 13.0 23.0 | H 0.019 | V 27.132 | pL -46.199 | vL 2371.457 | ∇ 4.089\n",
            "U 55 | F 112640 | FPS 0832 | D 95 | rR:μσmM 98.69 0.13 98.29 98.83 | F:μσmM 14.5 1.4 13.0 19.0 | H 0.021 | V 27.543 | pL -46.863 | vL 2391.439 | ∇ 1.505\n",
            "U 56 | F 114688 | FPS 1240 | D 97 | rR:μσmM 98.70 0.12 98.11 98.83 | F:μσmM 14.5 1.3 13.0 21.0 | H 0.018 | V 27.744 | pL -45.837 | vL 2325.241 | ∇ 1.550\n",
            "U 57 | F 116736 | FPS 1273 | D 99 | rR:μσmM 98.68 0.12 98.20 98.83 | F:μσmM 14.6 1.3 13.0 20.0 | H 0.010 | V 28.003 | pL -45.984 | vL 2318.353 | ∇ 2.008\n",
            "U 58 | F 118784 | FPS 1351 | D 100 | rR:μσmM 98.68 0.10 98.47 98.83 | F:μσmM 14.6 1.1 13.0 17.0 | H 0.004 | V 28.234 | pL -45.547 | vL 2290.668 | ∇ 9.397\n",
            "U 59 | F 120832 | FPS 1276 | D 102 | rR:μσmM 98.69 0.11 98.11 98.83 | F:μσmM 14.6 1.2 13.0 21.0 | H 0.003 | V 28.476 | pL -45.417 | vL 2271.269 | ∇ 45.497\n",
            "U 60 | F 122880 | FPS 1297 | D 103 | rR:μσmM 98.69 0.10 98.47 98.83 | F:μσmM 14.5 1.1 13.0 17.0 | H 0.002 | V 28.762 | pL -45.726 | vL 2276.981 | ∇ 0.505\n",
            "Status saved\n",
            "U 61 | F 124928 | FPS 1331 | D 105 | rR:μσmM 98.69 0.10 98.47 98.83 | F:μσmM 14.6 1.1 13.0 17.0 | H 0.002 | V 28.933 | pL -45.066 | vL 2251.663 | ∇ 179.890\n",
            "U 62 | F 126976 | FPS 1058 | D 107 | rR:μσmM 98.72 0.10 98.56 98.83 | F:μσmM 14.3 1.1 13.0 16.0 | H 0.001 | V 29.337 | pL -45.378 | vL 2259.004 | ∇ 0.397\n",
            "U 63 | F 129024 | FPS 0938 | D 109 | rR:μσmM 98.71 0.10 98.56 98.83 | F:μσmM 14.4 1.1 13.0 16.0 | H 0.001 | V 29.547 | pL -44.973 | vL 2226.023 | ∇ 90.712\n",
            "U 64 | F 131072 | FPS 1406 | D 110 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.4 1.2 13.0 16.0 | H 0.001 | V 29.914 | pL -44.962 | vL 2216.914 | ∇ 0.384\n",
            "U 65 | F 133120 | FPS 1286 | D 112 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.6 1.1 13.0 16.0 | H 0.001 | V 30.209 | pL -44.607 | vL 2169.319 | ∇ 2.316\n",
            "U 66 | F 135168 | FPS 1337 | D 114 | rR:μσmM 98.68 0.10 98.56 98.83 | F:μσmM 14.6 1.1 13.0 16.0 | H 0.001 | V 30.458 | pL -44.191 | vL 2154.402 | ∇ 85.884\n",
            "U 67 | F 137216 | FPS 1366 | D 115 | rR:μσmM 98.69 0.09 98.56 98.83 | F:μσmM 14.5 1.0 13.0 16.0 | H 0.001 | V 30.819 | pL -44.116 | vL 2131.411 | ∇ 5.571\n",
            "U 68 | F 139264 | FPS 1281 | D 117 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.4 1.1 13.0 16.0 | H 0.001 | V 30.950 | pL -43.535 | vL 2110.249 | ∇ 13.878\n",
            "U 69 | F 141312 | FPS 1358 | D 118 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.001 | V 31.239 | pL -43.424 | vL 2082.399 | ∇ 9.434\n",
            "U 70 | F 143360 | FPS 0891 | D 121 | rR:μσmM 98.71 0.10 98.56 98.83 | F:μσmM 14.3 1.1 13.0 16.0 | H 0.000 | V 31.411 | pL -44.035 | vL 2124.638 | ∇ 3.911\n",
            "Status saved\n",
            "U 71 | F 145408 | FPS 1143 | D 122 | rR:μσmM 98.68 0.10 98.56 98.83 | F:μσmM 14.7 1.2 13.0 16.0 | H 0.001 | V 31.688 | pL -43.021 | vL 2045.180 | ∇ 44.176\n",
            "U 72 | F 147456 | FPS 1354 | D 124 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.4 1.1 13.0 16.0 | H 0.000 | V 31.997 | pL -43.133 | vL 2060.236 | ∇ 3.006\n",
            "U 73 | F 149504 | FPS 1307 | D 125 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 32.270 | pL -42.455 | vL 2007.922 | ∇ 1.531\n",
            "U 74 | F 151552 | FPS 1320 | D 127 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.2 13.0 16.0 | H 0.000 | V 32.532 | pL -42.810 | vL 2021.783 | ∇ 44.311\n",
            "U 75 | F 153600 | FPS 1326 | D 129 | rR:μσmM 98.70 0.11 98.11 98.83 | F:μσmM 14.5 1.3 13.0 21.0 | H 0.001 | V 32.818 | pL -42.817 | vL 2009.638 | ∇ 3.095\n",
            "U 76 | F 155648 | FPS 1336 | D 130 | rR:μσmM 98.70 0.11 98.11 98.83 | F:μσmM 14.5 1.3 13.0 21.0 | H 0.001 | V 33.044 | pL -42.062 | vL 1978.718 | ∇ 89.226\n",
            "U 77 | F 157696 | FPS 1237 | D 132 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.4 1.1 13.0 16.0 | H 0.000 | V 33.345 | pL -42.065 | vL 1954.594 | ∇ 4.490\n",
            "U 78 | F 159744 | FPS 0839 | D 134 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.001 | V 33.532 | pL -41.801 | vL 1937.428 | ∇ 156.008\n",
            "U 79 | F 161792 | FPS 1313 | D 136 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 33.755 | pL -42.091 | vL 1946.265 | ∇ 301.721\n",
            "U 80 | F 163840 | FPS 1319 | D 137 | rR:μσmM 98.69 0.09 98.56 98.83 | F:μσmM 14.5 1.0 13.0 16.0 | H 0.000 | V 34.046 | pL -41.877 | vL 1922.855 | ∇ 117.599\n",
            "Status saved\n",
            "U 81 | F 165888 | FPS 1398 | D 139 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.4 1.1 13.0 16.0 | H 0.000 | V 34.264 | pL -41.656 | vL 1910.085 | ∇ 73.075\n",
            "U 82 | F 167936 | FPS 1328 | D 140 | rR:μσmM 98.71 0.10 98.56 98.83 | F:μσmM 14.4 1.1 13.0 16.0 | H 0.000 | V 34.572 | pL -41.191 | vL 1878.857 | ∇ 0.745\n",
            "U 83 | F 169984 | FPS 1351 | D 142 | rR:μσmM 98.69 0.11 98.56 98.83 | F:μσmM 14.5 1.2 13.0 16.0 | H 0.000 | V 34.738 | pL -41.587 | vL 1884.917 | ∇ 16.793\n",
            "U 84 | F 172032 | FPS 1366 | D 143 | rR:μσmM 98.70 0.11 98.56 98.83 | F:μσmM 14.4 1.2 13.0 16.0 | H 0.000 | V 35.035 | pL -40.808 | vL 1855.666 | ∇ 6.470\n",
            "U 85 | F 174080 | FPS 1127 | D 145 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 35.248 | pL -40.275 | vL 1814.884 | ∇ 4.237\n",
            "U 86 | F 176128 | FPS 0906 | D 147 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 35.506 | pL -40.804 | vL 1835.688 | ∇ 31.662\n",
            "U 87 | F 178176 | FPS 1383 | D 149 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 35.735 | pL -40.394 | vL 1798.179 | ∇ 3.072\n",
            "U 88 | F 180224 | FPS 1304 | D 150 | rR:μσmM 98.69 0.11 98.56 98.83 | F:μσmM 14.5 1.2 13.0 16.0 | H 0.000 | V 35.940 | pL -39.667 | vL 1762.639 | ∇ 9.230\n",
            "U 89 | F 182272 | FPS 1333 | D 152 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 36.177 | pL -39.809 | vL 1764.925 | ∇ 7.918\n",
            "U 90 | F 184320 | FPS 1289 | D 154 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.4 1.1 13.0 16.0 | H 0.000 | V 36.419 | pL -39.653 | vL 1756.652 | ∇ 8.716\n",
            "Status saved\n",
            "U 91 | F 186368 | FPS 1292 | D 155 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.6 1.1 13.0 16.0 | H 0.000 | V 36.647 | pL -39.526 | vL 1727.920 | ∇ 4.009\n",
            "U 92 | F 188416 | FPS 1361 | D 157 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.6 1.2 13.0 16.0 | H 0.000 | V 36.861 | pL -39.810 | vL 1745.250 | ∇ 196.167\n",
            "U 93 | F 190464 | FPS 0947 | D 159 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.4 1.1 13.0 16.0 | H 0.000 | V 37.225 | pL -39.403 | vL 1717.502 | ∇ 1.638\n",
            "U 94 | F 192512 | FPS 1057 | D 161 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.6 1.1 13.0 16.0 | H 0.000 | V 37.386 | pL -39.145 | vL 1695.916 | ∇ 189.879\n",
            "U 95 | F 194560 | FPS 1275 | D 162 | rR:μσmM 98.71 0.10 98.56 98.83 | F:μσmM 14.3 1.1 13.0 16.0 | H 0.000 | V 37.756 | pL -39.114 | vL 1695.206 | ∇ 1.103\n",
            "U 96 | F 196608 | FPS 1269 | D 164 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.6 1.1 13.0 16.0 | H 0.000 | V 37.991 | pL -38.337 | vL 1644.413 | ∇ 0.755\n",
            "U 97 | F 198656 | FPS 1312 | D 166 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.4 1.1 13.0 16.0 | H 0.000 | V 38.187 | pL -38.468 | vL 1647.667 | ∇ 11.067\n",
            "U 98 | F 200704 | FPS 1358 | D 167 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.6 1.1 13.0 16.0 | H 0.000 | V 38.453 | pL -38.513 | vL 1629.147 | ∇ 11.049\n",
            "U 99 | F 202752 | FPS 1315 | D 169 | rR:μσmM 98.68 0.09 98.56 98.83 | F:μσmM 14.7 1.0 13.0 16.0 | H 0.000 | V 38.747 | pL -38.248 | vL 1609.650 | ∇ 3.278\n",
            "U 100 | F 204800 | FPS 1259 | D 170 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 38.968 | pL -37.924 | vL 1610.057 | ∇ 88.940\n",
            "Status saved\n",
            "U 101 | F 206848 | FPS 0900 | D 173 | rR:μσmM 98.68 0.10 98.56 98.83 | F:μσmM 14.7 1.1 13.0 16.0 | H 0.000 | V 39.230 | pL -37.129 | vL 1560.432 | ∇ 129.548\n",
            "U 102 | F 208896 | FPS 1110 | D 174 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.4 1.1 13.0 16.0 | H 0.000 | V 39.478 | pL -37.215 | vL 1560.055 | ∇ 2.174\n",
            "U 103 | F 210944 | FPS 1310 | D 176 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 39.714 | pL -37.146 | vL 1551.797 | ∇ 2.432\n",
            "U 104 | F 212992 | FPS 1343 | D 178 | rR:μσmM 98.68 0.10 98.56 98.83 | F:μσmM 14.6 1.1 13.0 16.0 | H 0.000 | V 39.861 | pL -36.509 | vL 1512.651 | ∇ 77.592\n",
            "U 105 | F 215040 | FPS 1307 | D 179 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.6 1.1 13.0 16.0 | H 0.000 | V 40.127 | pL -36.966 | vL 1521.627 | ∇ 1.875\n",
            "U 106 | F 217088 | FPS 1317 | D 181 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 40.378 | pL -36.918 | vL 1523.338 | ∇ 2.528\n",
            "U 107 | F 219136 | FPS 1328 | D 182 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 40.569 | pL -36.217 | vL 1482.794 | ∇ 188.390\n",
            "U 108 | F 221184 | FPS 1068 | D 184 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.6 1.2 13.0 16.0 | H 0.000 | V 40.880 | pL -36.195 | vL 1473.599 | ∇ 9.209\n",
            "U 109 | F 223232 | FPS 0886 | D 186 | rR:μσmM 98.68 0.10 98.56 98.83 | F:μσmM 14.6 1.1 13.0 16.0 | H 0.000 | V 41.156 | pL -36.264 | vL 1472.053 | ∇ 1.117\n",
            "U 110 | F 225280 | FPS 1321 | D 188 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 41.379 | pL -36.043 | vL 1462.049 | ∇ 11.138\n",
            "Status saved\n",
            "U 111 | F 227328 | FPS 1361 | D 190 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 41.613 | pL -36.099 | vL 1446.330 | ∇ 2.916\n",
            "U 112 | F 229376 | FPS 1318 | D 191 | rR:μσmM 98.71 0.10 98.56 98.83 | F:μσmM 14.4 1.1 13.0 16.0 | H 0.000 | V 41.803 | pL -36.205 | vL 1452.370 | ∇ 182.962\n",
            "U 113 | F 231424 | FPS 1355 | D 193 | rR:μσmM 98.68 0.10 98.56 98.83 | F:μσmM 14.7 1.1 13.0 16.0 | H 0.000 | V 42.161 | pL -35.430 | vL 1408.005 | ∇ 1.260\n",
            "U 114 | F 233472 | FPS 1366 | D 194 | rR:μσmM 98.71 0.10 98.56 98.83 | F:μσmM 14.4 1.1 13.0 16.0 | H 0.000 | V 42.380 | pL -35.577 | vL 1409.317 | ∇ 12.806\n",
            "U 115 | F 235520 | FPS 1316 | D 196 | rR:μσmM 98.68 0.10 98.56 98.83 | F:μσmM 14.7 1.1 13.0 16.0 | H 0.000 | V 42.630 | pL -34.753 | vL 1365.640 | ∇ 1.971\n",
            "U 116 | F 237568 | FPS 0914 | D 198 | rR:μσmM 98.69 0.11 98.56 98.83 | F:μσmM 14.5 1.2 13.0 16.0 | H 0.000 | V 42.869 | pL -35.501 | vL 1393.706 | ∇ 1.648\n",
            "U 117 | F 239616 | FPS 1068 | D 200 | rR:μσmM 98.70 0.11 98.56 98.83 | F:μσmM 14.4 1.2 13.0 16.0 | H 0.000 | V 43.123 | pL -35.125 | vL 1376.262 | ∇ 0.781\n",
            "U 118 | F 241664 | FPS 1285 | D 201 | rR:μσmM 98.68 0.11 98.56 98.83 | F:μσmM 14.7 1.2 13.0 16.0 | H 0.000 | V 43.318 | pL -34.483 | vL 1342.294 | ∇ 105.406\n",
            "U 119 | F 243712 | FPS 1335 | D 203 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 43.640 | pL -34.764 | vL 1343.241 | ∇ 1.677\n",
            "U 120 | F 245760 | FPS 1340 | D 204 | rR:μσmM 98.70 0.11 98.56 98.83 | F:μσmM 14.4 1.2 13.0 16.0 | H 0.000 | V 43.860 | pL -34.242 | vL 1318.337 | ∇ 2.438\n",
            "Status saved\n",
            "U 121 | F 247808 | FPS 1304 | D 206 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 44.054 | pL -33.568 | vL 1289.780 | ∇ 111.011\n",
            "U 122 | F 249856 | FPS 1304 | D 208 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 44.366 | pL -33.963 | vL 1289.128 | ∇ 3.209\n",
            "U 123 | F 251904 | FPS 1246 | D 209 | rR:μσmM 98.71 0.10 98.56 98.83 | F:μσmM 14.3 1.1 13.0 16.0 | H 0.000 | V 44.578 | pL -34.143 | vL 1296.768 | ∇ 1.726\n",
            "U 124 | F 253952 | FPS 0875 | D 212 | rR:μσmM 98.70 0.09 98.56 98.83 | F:μσmM 14.4 1.0 13.0 16.0 | H 0.000 | V 44.837 | pL -33.714 | vL 1282.127 | ∇ 1.806\n",
            "U 125 | F 256000 | FPS 1262 | D 213 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.6 1.1 13.0 16.0 | H 0.000 | V 45.035 | pL -33.682 | vL 1269.468 | ∇ 37.659\n",
            "U 126 | F 258048 | FPS 1351 | D 215 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 45.359 | pL -33.308 | vL 1245.567 | ∇ 1.336\n",
            "U 127 | F 260096 | FPS 1302 | D 216 | rR:μσmM 98.68 0.10 98.47 98.83 | F:μσmM 14.6 1.2 13.0 17.0 | H 0.000 | V 45.580 | pL -33.233 | vL 1234.987 | ∇ 3.589\n",
            "U 128 | F 262144 | FPS 1277 | D 218 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.4 1.1 13.0 16.0 | H 0.000 | V 45.767 | pL -33.097 | vL 1237.472 | ∇ 135.765\n",
            "U 129 | F 264192 | FPS 1287 | D 220 | rR:μσmM 98.68 0.10 98.56 98.83 | F:μσmM 14.7 1.2 13.0 16.0 | H 0.000 | V 46.145 | pL -32.430 | vL 1194.037 | ∇ 1.289\n",
            "U 130 | F 266240 | FPS 1378 | D 221 | rR:μσmM 98.69 0.09 98.56 98.83 | F:μσmM 14.6 1.0 13.0 16.0 | H 0.000 | V 46.341 | pL -32.156 | vL 1178.786 | ∇ 6.406\n",
            "Status saved\n",
            "U 131 | F 268288 | FPS 1089 | D 223 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 46.570 | pL -32.582 | vL 1185.882 | ∇ 14.395\n",
            "U 132 | F 270336 | FPS 0942 | D 225 | rR:μσmM 98.69 0.11 98.56 98.83 | F:μσmM 14.6 1.2 13.0 16.0 | H 0.000 | V 46.795 | pL -32.262 | vL 1171.415 | ∇ 8.680\n",
            "U 133 | F 272384 | FPS 1326 | D 227 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.4 1.1 13.0 16.0 | H 0.000 | V 47.015 | pL -32.166 | vL 1165.056 | ∇ 6.552\n",
            "U 134 | F 274432 | FPS 1344 | D 228 | rR:μσmM 98.69 0.11 98.56 98.83 | F:μσmM 14.6 1.2 13.0 16.0 | H 0.000 | V 47.243 | pL -31.446 | vL 1139.182 | ∇ 10.334\n",
            "U 135 | F 276480 | FPS 1377 | D 230 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.4 1.1 13.0 16.0 | H 0.000 | V 47.510 | pL -31.260 | vL 1118.443 | ∇ 14.207\n",
            "U 136 | F 278528 | FPS 1381 | D 231 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.6 1.1 13.0 16.0 | H 0.000 | V 47.695 | pL -31.391 | vL 1118.637 | ∇ 96.168\n",
            "U 137 | F 280576 | FPS 1315 | D 233 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 47.995 | pL -30.918 | vL 1092.684 | ∇ 4.064\n",
            "U 138 | F 282624 | FPS 1345 | D 234 | rR:μσmM 98.68 0.10 98.56 98.83 | F:μσmM 14.7 1.1 13.0 16.0 | H 0.000 | V 48.218 | pL -31.335 | vL 1100.359 | ∇ 9.706\n",
            "U 139 | F 284672 | FPS 1018 | D 236 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 48.412 | pL -31.123 | vL 1093.616 | ∇ 162.493\n",
            "U 140 | F 286720 | FPS 0974 | D 238 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.4 1.1 13.0 16.0 | H 0.000 | V 48.634 | pL -31.320 | vL 1099.673 | ∇ 1.231\n",
            "Status saved\n",
            "U 141 | F 288768 | FPS 1373 | D 240 | rR:μσmM 98.71 0.09 98.56 98.83 | F:μσmM 14.4 1.1 13.0 16.0 | H 0.000 | V 48.844 | pL -30.930 | vL 1077.481 | ∇ 2.350\n",
            "U 142 | F 290816 | FPS 1337 | D 241 | rR:μσmM 98.70 0.11 98.56 98.83 | F:μσmM 14.4 1.2 13.0 16.0 | H 0.000 | V 49.056 | pL -30.660 | vL 1062.556 | ∇ 101.863\n",
            "U 143 | F 292864 | FPS 1366 | D 243 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 49.407 | pL -30.548 | vL 1044.871 | ∇ 7.784\n",
            "U 144 | F 294912 | FPS 1335 | D 244 | rR:μσmM 98.68 0.10 98.56 98.83 | F:μσmM 14.7 1.1 13.0 16.0 | H 0.000 | V 49.681 | pL -30.404 | vL 1033.079 | ∇ 7.070\n",
            "U 145 | F 296960 | FPS 1345 | D 246 | rR:μσmM 98.68 0.10 98.56 98.83 | F:μσmM 14.7 1.1 13.0 16.0 | H 0.000 | V 49.982 | pL -29.335 | vL 995.641 | ∇ 2.224\n",
            "U 146 | F 299008 | FPS 1305 | D 248 | rR:μσmM 98.68 0.11 98.56 98.83 | F:μσmM 14.6 1.2 13.0 16.0 | H 0.000 | V 50.223 | pL -29.761 | vL 1000.438 | ∇ 1.723\n",
            "U 147 | F 301056 | FPS 0910 | D 250 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 50.438 | pL -29.573 | vL 993.326 | ∇ 7.788\n",
            "U 148 | F 303104 | FPS 1111 | D 252 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 50.712 | pL -29.551 | vL 983.516 | ∇ 60.357\n",
            "U 149 | F 305152 | FPS 1364 | D 253 | rR:μσmM 98.69 0.11 98.56 98.83 | F:μσmM 14.6 1.2 13.0 16.0 | H 0.000 | V 50.910 | pL -28.808 | vL 957.568 | ∇ 5.197\n",
            "U 150 | F 307200 | FPS 1330 | D 255 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.6 1.1 13.0 16.0 | H 0.000 | V 51.129 | pL -29.155 | vL 956.942 | ∇ 3.883\n",
            "Status saved\n",
            "U 151 | F 309248 | FPS 1343 | D 256 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.4 1.1 13.0 16.0 | H 0.000 | V 51.347 | pL -28.834 | vL 947.705 | ∇ 10.896\n",
            "U 152 | F 311296 | FPS 1298 | D 258 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.6 1.1 13.0 16.0 | H 0.000 | V 51.576 | pL -28.787 | vL 940.903 | ∇ 4.115\n",
            "U 153 | F 313344 | FPS 1355 | D 259 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 51.811 | pL -29.007 | vL 942.304 | ∇ 2.231\n",
            "U 154 | F 315392 | FPS 1235 | D 261 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 51.984 | pL -28.432 | vL 923.987 | ∇ 170.566\n",
            "U 155 | F 317440 | FPS 0872 | D 263 | rR:μσmM 98.69 0.09 98.56 98.83 | F:μσmM 14.5 1.0 13.0 16.0 | H 0.000 | V 52.309 | pL -28.384 | vL 912.517 | ∇ 16.354\n",
            "U 156 | F 319488 | FPS 1227 | D 265 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.6 1.1 13.0 16.0 | H 0.000 | V 52.561 | pL -27.934 | vL 891.754 | ∇ 1.465\n",
            "U 157 | F 321536 | FPS 1312 | D 267 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 52.741 | pL -28.261 | vL 896.023 | ∇ 91.392\n",
            "U 158 | F 323584 | FPS 1280 | D 268 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 53.077 | pL -27.693 | vL 871.138 | ∇ 32.755\n",
            "U 159 | F 325632 | FPS 1336 | D 270 | rR:μσmM 98.69 0.11 98.56 98.83 | F:μσmM 14.5 1.2 13.0 16.0 | H 0.000 | V 53.351 | pL -27.664 | vL 871.242 | ∇ 0.949\n",
            "U 160 | F 327680 | FPS 1371 | D 271 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 53.568 | pL -26.914 | vL 841.364 | ∇ 2.220\n",
            "Status saved\n",
            "U 161 | F 329728 | FPS 1308 | D 273 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 53.798 | pL -27.435 | vL 846.989 | ∇ 5.621\n",
            "U 162 | F 331776 | FPS 1053 | D 275 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 54.050 | pL -27.482 | vL 848.595 | ∇ 23.133\n",
            "U 163 | F 333824 | FPS 0939 | D 277 | rR:μσmM 98.71 0.10 98.56 98.83 | F:μσmM 14.3 1.1 13.0 16.0 | H 0.000 | V 54.388 | pL -27.490 | vL 844.116 | ∇ 1.503\n",
            "U 164 | F 335872 | FPS 1318 | D 278 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.4 1.1 13.0 16.0 | H 0.000 | V 54.599 | pL -26.848 | vL 815.743 | ∇ 29.121\n",
            "U 165 | F 337920 | FPS 1380 | D 280 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 54.903 | pL -26.899 | vL 808.366 | ∇ 52.788\n",
            "U 166 | F 339968 | FPS 1343 | D 281 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.4 1.1 13.0 16.0 | H 0.000 | V 55.152 | pL -26.196 | vL 785.964 | ∇ 5.934\n",
            "U 167 | F 342016 | FPS 1310 | D 283 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 55.347 | pL -25.996 | vL 778.083 | ∇ 86.447\n",
            "U 168 | F 344064 | FPS 1306 | D 285 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.4 1.1 13.0 16.0 | H 0.000 | V 55.628 | pL -25.738 | vL 766.399 | ∇ 1.962\n",
            "U 169 | F 346112 | FPS 1329 | D 286 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.4 1.1 13.0 16.0 | H 0.000 | V 55.862 | pL -25.962 | vL 769.142 | ∇ 17.045\n",
            "U 170 | F 348160 | FPS 0935 | D 288 | rR:μσmM 98.70 0.11 98.56 98.83 | F:μσmM 14.5 1.2 13.0 16.0 | H 0.000 | V 56.148 | pL -25.519 | vL 743.471 | ∇ 7.349\n",
            "Status saved\n",
            "U 171 | F 350208 | FPS 1060 | D 290 | rR:μσmM 98.69 0.09 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 56.363 | pL -25.567 | vL 737.850 | ∇ 0.623\n",
            "U 172 | F 352256 | FPS 1328 | D 292 | rR:μσmM 98.71 0.10 98.56 98.83 | F:μσmM 14.4 1.1 13.0 16.0 | H 0.000 | V 56.629 | pL -25.345 | vL 734.001 | ∇ 0.869\n",
            "U 173 | F 354304 | FPS 1371 | D 293 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 56.826 | pL -24.988 | vL 716.899 | ∇ 3.754\n",
            "U 174 | F 356352 | FPS 1325 | D 295 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 57.059 | pL -24.797 | vL 709.615 | ∇ 2.561\n",
            "U 175 | F 358400 | FPS 1348 | D 296 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 57.303 | pL -25.127 | vL 710.757 | ∇ 5.327\n",
            "U 176 | F 360448 | FPS 1356 | D 298 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.4 1.1 13.0 16.0 | H 0.000 | V 57.473 | pL -24.541 | vL 695.672 | ∇ 185.685\n",
            "U 177 | F 362496 | FPS 1367 | D 299 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 57.827 | pL -24.382 | vL 680.233 | ∇ 0.861\n",
            "U 178 | F 364544 | FPS 0876 | D 302 | rR:μσmM 98.72 0.10 98.56 98.83 | F:μσmM 14.3 1.2 13.0 16.0 | H 0.000 | V 58.017 | pL -24.505 | vL 680.897 | ∇ 19.284\n",
            "U 179 | F 366592 | FPS 1180 | D 304 | rR:μσmM 98.68 0.10 98.56 98.83 | F:μσmM 14.6 1.1 13.0 16.0 | H 0.000 | V 58.279 | pL -23.953 | vL 657.148 | ∇ 59.788\n",
            "U 180 | F 368640 | FPS 1300 | D 305 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 58.503 | pL -23.964 | vL 657.424 | ∇ 1.808\n",
            "Status saved\n",
            "U 181 | F 370688 | FPS 1339 | D 307 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 58.732 | pL -23.449 | vL 642.630 | ∇ 1.981\n",
            "U 182 | F 372736 | FPS 1330 | D 308 | rR:μσmM 98.68 0.10 98.56 98.83 | F:μσmM 14.6 1.1 13.0 16.0 | H 0.000 | V 58.988 | pL -23.511 | vL 635.166 | ∇ 3.854\n",
            "U 183 | F 374784 | FPS 1319 | D 310 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 59.209 | pL -23.338 | vL 627.388 | ∇ 1.770\n",
            "U 184 | F 376832 | FPS 1333 | D 311 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 59.450 | pL -23.418 | vL 630.044 | ∇ 47.561\n",
            "U 185 | F 378880 | FPS 1203 | D 313 | rR:μσmM 98.71 0.10 98.56 98.83 | F:μσmM 14.4 1.1 13.0 16.0 | H 0.000 | V 59.801 | pL -23.182 | vL 616.653 | ∇ 1.240\n",
            "U 186 | F 380928 | FPS 0850 | D 315 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.2 13.0 16.0 | H 0.000 | V 60.017 | pL -22.774 | vL 600.986 | ∇ 1.083\n",
            "U 187 | F 382976 | FPS 1429 | D 317 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 60.229 | pL -22.658 | vL 593.737 | ∇ 3.222\n",
            "U 188 | F 385024 | FPS 1320 | D 318 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 60.476 | pL -22.563 | vL 589.875 | ∇ 4.150\n",
            "U 189 | F 387072 | FPS 1360 | D 320 | rR:μσmM 98.72 0.11 98.56 98.83 | F:μσmM 14.2 1.2 13.0 16.0 | H 0.000 | V 60.731 | pL -22.599 | vL 583.755 | ∇ 15.476\n",
            "U 190 | F 389120 | FPS 1349 | D 321 | rR:μσmM 98.71 0.10 98.56 98.83 | F:μσmM 14.3 1.1 13.0 16.0 | H 0.000 | V 61.001 | pL -22.215 | vL 569.753 | ∇ 3.275\n",
            "Status saved\n",
            "U 191 | F 391168 | FPS 1351 | D 323 | rR:μσmM 98.71 0.10 98.56 98.83 | F:μσmM 14.4 1.1 13.0 16.0 | H 0.000 | V 61.246 | pL -21.943 | vL 559.947 | ∇ 3.024\n",
            "U 192 | F 393216 | FPS 1359 | D 324 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.4 1.1 13.0 16.0 | H 0.000 | V 61.474 | pL -22.029 | vL 558.352 | ∇ 0.777\n",
            "U 193 | F 395264 | FPS 1106 | D 326 | rR:μσmM 98.68 0.10 98.56 98.83 | F:μσmM 14.6 1.1 13.0 16.0 | H 0.000 | V 61.723 | pL -21.474 | vL 540.494 | ∇ 2.057\n",
            "U 194 | F 397312 | FPS 0918 | D 329 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.4 1.2 13.0 16.0 | H 0.000 | V 61.951 | pL -21.434 | vL 536.866 | ∇ 25.490\n",
            "U 195 | F 399360 | FPS 1382 | D 330 | rR:μσmM 98.68 0.10 98.56 98.83 | F:μσmM 14.6 1.1 13.0 16.0 | H 0.000 | V 62.209 | pL -21.058 | vL 519.280 | ∇ 52.479\n",
            "U 196 | F 401408 | FPS 1339 | D 332 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.5 1.2 13.0 16.0 | H 0.000 | V 62.546 | pL -21.090 | vL 516.381 | ∇ 2.729\n",
            "U 197 | F 403456 | FPS 1395 | D 333 | rR:μσmM 98.68 0.10 98.56 98.83 | F:μσmM 14.7 1.1 13.0 16.0 | H 0.000 | V 62.780 | pL -20.681 | vL 503.184 | ∇ 27.457\n",
            "U 198 | F 405504 | FPS 1357 | D 335 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 63.000 | pL -20.596 | vL 497.249 | ∇ 57.708\n",
            "U 199 | F 407552 | FPS 1383 | D 336 | rR:μσmM 98.69 0.09 98.56 98.83 | F:μσmM 14.6 1.0 13.0 16.0 | H 0.000 | V 63.299 | pL -20.373 | vL 487.533 | ∇ 68.649\n",
            "U 200 | F 409600 | FPS 1401 | D 337 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.6 1.1 13.0 16.0 | H 0.000 | V 63.676 | pL -20.358 | vL 479.130 | ∇ 2.492\n",
            "Status saved\n",
            "U 201 | F 411648 | FPS 1080 | D 339 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 64.009 | pL -20.256 | vL 473.614 | ∇ 0.744\n",
            "U 202 | F 413696 | FPS 0948 | D 342 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.2 13.0 16.0 | H 0.000 | V 64.226 | pL -19.388 | vL 450.598 | ∇ 4.871\n",
            "U 203 | F 415744 | FPS 1318 | D 343 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 64.476 | pL -19.301 | vL 444.716 | ∇ 8.087\n",
            "U 204 | F 417792 | FPS 1364 | D 345 | rR:μσmM 98.68 0.10 98.56 98.83 | F:μσmM 14.6 1.1 13.0 16.0 | H 0.000 | V 64.763 | pL -19.334 | vL 440.230 | ∇ 3.959\n",
            "U 205 | F 419840 | FPS 1312 | D 346 | rR:μσmM 98.71 0.10 98.56 98.83 | F:μσmM 14.4 1.1 13.0 16.0 | H 0.000 | V 64.982 | pL -18.928 | vL 431.894 | ∇ 4.901\n",
            "U 206 | F 421888 | FPS 1306 | D 348 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 65.251 | pL -19.052 | vL 429.242 | ∇ 1.049\n",
            "U 207 | F 423936 | FPS 1323 | D 349 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 65.506 | pL -19.083 | vL 425.842 | ∇ 4.171\n",
            "U 208 | F 425984 | FPS 1365 | D 351 | rR:μσmM 98.71 0.10 98.56 98.83 | F:μσmM 14.3 1.1 13.0 16.0 | H 0.000 | V 65.793 | pL -19.048 | vL 422.877 | ∇ 0.943\n",
            "U 209 | F 428032 | FPS 0897 | D 353 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 66.006 | pL -18.421 | vL 404.279 | ∇ 2.905\n",
            "U 210 | F 430080 | FPS 1079 | D 355 | rR:μσmM 98.69 0.09 98.56 98.83 | F:μσmM 14.6 1.0 13.0 16.0 | H 0.000 | V 66.189 | pL -17.914 | vL 390.617 | ∇ 3.945\n",
            "Status saved\n",
            "U 211 | F 432128 | FPS 1345 | D 357 | rR:μσmM 98.70 0.09 98.56 98.83 | F:μσmM 14.5 1.0 13.0 16.0 | H 0.000 | V 66.415 | pL -18.325 | vL 394.735 | ∇ 2.529\n",
            "U 212 | F 434176 | FPS 1383 | D 358 | rR:μσmM 98.68 0.10 98.56 98.83 | F:μσmM 14.6 1.1 13.0 16.0 | H 0.000 | V 66.676 | pL -18.110 | vL 386.410 | ∇ 42.996\n",
            "U 213 | F 436224 | FPS 1352 | D 360 | rR:μσmM 98.68 0.10 98.56 98.83 | F:μσmM 14.6 1.1 13.0 16.0 | H 0.000 | V 67.055 | pL -17.641 | vL 371.588 | ∇ 1.004\n",
            "U 214 | F 438272 | FPS 1300 | D 361 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.6 1.1 13.0 16.0 | H 0.000 | V 67.298 | pL -17.479 | vL 366.056 | ∇ 6.071\n",
            "U 215 | F 440320 | FPS 1323 | D 363 | rR:μσmM 98.71 0.11 98.56 98.83 | F:μσmM 14.3 1.2 13.0 16.0 | H 0.000 | V 67.529 | pL -17.487 | vL 364.825 | ∇ 9.729\n",
            "U 216 | F 442368 | FPS 1206 | D 364 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.2 13.0 16.0 | H 0.000 | V 67.768 | pL -17.407 | vL 358.442 | ∇ 2.431\n",
            "U 217 | F 444416 | FPS 0836 | D 367 | rR:μσmM 98.69 0.09 98.56 98.83 | F:μσmM 14.6 1.0 13.0 16.0 | H 0.000 | V 68.041 | pL -17.168 | vL 349.666 | ∇ 18.098\n",
            "U 218 | F 446464 | FPS 1318 | D 368 | rR:μσmM 98.68 0.09 98.56 98.83 | F:μσmM 14.6 1.0 13.0 16.0 | H 0.000 | V 68.339 | pL -16.619 | vL 332.971 | ∇ 1.314\n",
            "U 219 | F 448512 | FPS 1303 | D 370 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 68.550 | pL -16.694 | vL 337.500 | ∇ 3.795\n",
            "U 220 | F 450560 | FPS 1315 | D 371 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 68.785 | pL -16.491 | vL 326.968 | ∇ 1.321\n",
            "Status saved\n",
            "U 221 | F 452608 | FPS 1322 | D 373 | rR:μσmM 98.70 0.11 98.56 98.83 | F:μσmM 14.5 1.2 13.0 16.0 | H 0.000 | V 69.042 | pL -16.157 | vL 320.443 | ∇ 48.295\n",
            "U 222 | F 454656 | FPS 1327 | D 375 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 69.404 | pL -16.204 | vL 315.389 | ∇ 6.080\n",
            "U 223 | F 456704 | FPS 1373 | D 376 | rR:μσmM 98.71 0.10 98.56 98.83 | F:μσmM 14.3 1.2 13.0 16.0 | H 0.000 | V 69.691 | pL -15.993 | vL 308.114 | ∇ 2.074\n",
            "U 224 | F 458752 | FPS 1060 | D 378 | rR:μσmM 98.71 0.10 98.56 98.83 | F:μσmM 14.3 1.1 13.0 16.0 | H 0.000 | V 69.928 | pL -16.103 | vL 307.670 | ∇ 35.174\n",
            "U 225 | F 460800 | FPS 0928 | D 380 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.2 13.0 16.0 | H 0.000 | V 70.271 | pL -15.722 | vL 295.254 | ∇ 3.819\n",
            "U 226 | F 462848 | FPS 1295 | D 382 | rR:μσmM 98.68 0.09 98.56 98.83 | F:μσmM 14.6 1.0 13.0 16.0 | H 0.000 | V 70.553 | pL -15.165 | vL 280.973 | ∇ 1.792\n",
            "U 227 | F 464896 | FPS 1325 | D 383 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.6 1.1 13.0 16.0 | H 0.000 | V 70.789 | pL -14.969 | vL 275.444 | ∇ 4.029\n",
            "U 228 | F 466944 | FPS 1309 | D 385 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.6 1.1 13.0 16.0 | H 0.000 | V 70.982 | pL -14.673 | vL 267.852 | ∇ 4.713\n",
            "U 229 | F 468992 | FPS 1312 | D 387 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 71.215 | pL -14.788 | vL 268.741 | ∇ 11.173\n",
            "U 230 | F 471040 | FPS 1353 | D 388 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 71.431 | pL -14.608 | vL 262.658 | ∇ 5.221\n",
            "Status saved\n",
            "U 231 | F 473088 | FPS 1338 | D 390 | rR:μσmM 98.69 0.09 98.56 98.83 | F:μσmM 14.6 1.0 13.0 16.0 | H 0.000 | V 71.660 | pL -14.245 | vL 252.843 | ∇ 2.788\n",
            "U 232 | F 475136 | FPS 0922 | D 392 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 71.950 | pL -14.474 | vL 254.746 | ∇ 0.730\n",
            "U 233 | F 477184 | FPS 1092 | D 394 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 72.145 | pL -13.895 | vL 246.162 | ∇ 3.601\n",
            "U 234 | F 479232 | FPS 1330 | D 395 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.4 1.1 13.0 16.0 | H 0.000 | V 72.356 | pL -13.379 | vL 235.687 | ∇ 20.233\n",
            "U 235 | F 481280 | FPS 1350 | D 397 | rR:μσmM 98.71 0.10 98.56 98.83 | F:μσmM 14.4 1.1 13.0 16.0 | H 0.000 | V 72.564 | pL -13.856 | vL 238.824 | ∇ 1.122\n",
            "U 236 | F 483328 | FPS 1394 | D 398 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.6 1.1 13.0 16.0 | H 0.000 | V 72.825 | pL -13.581 | vL 228.997 | ∇ 3.883\n",
            "U 237 | F 485376 | FPS 1373 | D 400 | rR:μσmM 98.67 0.10 98.56 98.83 | F:μσmM 14.7 1.1 13.0 16.0 | H 0.000 | V 73.068 | pL -13.168 | vL 220.779 | ∇ 4.629\n",
            "U 238 | F 487424 | FPS 1325 | D 401 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 73.295 | pL -13.242 | vL 219.309 | ∇ 4.204\n",
            "U 239 | F 489472 | FPS 1271 | D 403 | rR:μσmM 98.70 0.11 98.56 98.83 | F:μσmM 14.5 1.2 13.0 16.0 | H 0.000 | V 73.508 | pL -13.123 | vL 217.601 | ∇ 4.727\n",
            "U 240 | F 491520 | FPS 0808 | D 405 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 73.751 | pL -13.037 | vL 211.907 | ∇ 6.297\n",
            "Status saved\n",
            "U 241 | F 493568 | FPS 1285 | D 407 | rR:μσmM 98.70 0.09 98.56 98.83 | F:μσmM 14.5 1.0 13.0 16.0 | H 0.000 | V 74.000 | pL -12.468 | vL 203.466 | ∇ 2.238\n",
            "U 242 | F 495616 | FPS 1364 | D 409 | rR:μσmM 98.68 0.10 98.56 98.83 | F:μσmM 14.6 1.1 13.0 16.0 | H 0.000 | V 74.237 | pL -12.434 | vL 198.409 | ∇ 2.342\n",
            "U 243 | F 497664 | FPS 1360 | D 410 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 74.485 | pL -12.538 | vL 197.374 | ∇ 40.978\n",
            "U 244 | F 499712 | FPS 1362 | D 412 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.5 1.2 13.0 16.0 | H 0.000 | V 74.797 | pL -12.042 | vL 189.254 | ∇ 8.496\n",
            "U 245 | F 501760 | FPS 1365 | D 413 | rR:μσmM 98.68 0.10 98.56 98.83 | F:μσmM 14.6 1.1 13.0 16.0 | H 0.000 | V 75.006 | pL -11.852 | vL 183.497 | ∇ 40.146\n",
            "U 246 | F 503808 | FPS 1319 | D 415 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 75.303 | pL -11.812 | vL 179.823 | ∇ 1.177\n",
            "U 247 | F 505856 | FPS 1173 | D 416 | rR:μσmM 98.68 0.09 98.56 98.83 | F:μσmM 14.6 1.1 13.0 16.0 | H 0.000 | V 75.493 | pL -11.592 | vL 174.380 | ∇ 2.925\n",
            "U 248 | F 507904 | FPS 0906 | D 419 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.4 1.2 13.0 16.0 | H 0.000 | V 75.720 | pL -11.345 | vL 170.948 | ∇ 1.269\n",
            "U 249 | F 509952 | FPS 1348 | D 420 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.6 1.1 13.0 16.0 | H 0.000 | V 75.913 | pL -11.276 | vL 167.255 | ∇ 4.580\n",
            "U 250 | F 512000 | FPS 1317 | D 422 | rR:μσmM 98.69 0.09 98.56 98.83 | F:μσmM 14.6 1.0 13.0 16.0 | H 0.000 | V 76.202 | pL -11.191 | vL 165.176 | ∇ 1.163\n",
            "Status saved\n",
            "U 251 | F 514048 | FPS 1411 | D 423 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 76.417 | pL -10.797 | vL 157.620 | ∇ 5.568\n",
            "U 252 | F 516096 | FPS 1316 | D 425 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.6 1.1 13.0 16.0 | H 0.000 | V 76.680 | pL -10.843 | vL 153.050 | ∇ 1.672\n",
            "U 253 | F 518144 | FPS 1392 | D 426 | rR:μσmM 98.71 0.10 98.56 98.83 | F:μσmM 14.3 1.1 13.0 16.0 | H 0.000 | V 76.924 | pL -11.029 | vL 153.209 | ∇ 2.992\n",
            "U 254 | F 520192 | FPS 1372 | D 428 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 77.181 | pL -10.536 | vL 146.381 | ∇ 3.073\n",
            "U 255 | F 522240 | FPS 1089 | D 430 | rR:μσmM 98.70 0.11 98.56 98.83 | F:μσmM 14.5 1.2 13.0 16.0 | H 0.000 | V 77.440 | pL -10.303 | vL 141.676 | ∇ 1.114\n",
            "U 256 | F 524288 | FPS 0962 | D 432 | rR:μσmM 98.68 0.10 98.56 98.83 | F:μσmM 14.6 1.1 13.0 16.0 | H 0.000 | V 77.643 | pL -9.952 | vL 134.139 | ∇ 1.328\n",
            "U 257 | F 526336 | FPS 1388 | D 433 | rR:μσmM 98.68 0.10 98.56 98.83 | F:μσmM 14.7 1.1 13.0 16.0 | H 0.000 | V 77.910 | pL -10.010 | vL 133.575 | ∇ 0.476\n",
            "U 258 | F 528384 | FPS 1354 | D 435 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.001 | V 78.194 | pL -9.669 | vL 129.831 | ∇ 3.090\n",
            "U 259 | F 530432 | FPS 1334 | D 436 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.6 1.1 13.0 16.0 | H 0.000 | V 78.417 | pL -9.300 | vL 124.075 | ∇ 2.759\n",
            "U 260 | F 532480 | FPS 1370 | D 438 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.2 13.0 16.0 | H 0.000 | V 78.694 | pL -9.304 | vL 119.652 | ∇ 1.548\n",
            "Status saved\n",
            "U 261 | F 534528 | FPS 1331 | D 439 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 78.910 | pL -9.188 | vL 117.107 | ∇ 1.747\n",
            "U 262 | F 536576 | FPS 1374 | D 441 | rR:μσmM 98.68 0.10 98.56 98.83 | F:μσmM 14.6 1.1 13.0 16.0 | H 0.000 | V 79.151 | pL -8.914 | vL 112.298 | ∇ 32.143\n",
            "U 263 | F 538624 | FPS 0942 | D 443 | rR:μσmM 98.71 0.10 98.56 98.83 | F:μσmM 14.3 1.1 13.0 16.0 | H 0.000 | V 79.441 | pL -8.911 | vL 110.171 | ∇ 3.878\n",
            "U 264 | F 540672 | FPS 1045 | D 445 | rR:μσmM 98.69 0.11 98.56 98.83 | F:μσmM 14.6 1.2 13.0 16.0 | H 0.000 | V 79.671 | pL -8.379 | vL 105.032 | ∇ 1.982\n",
            "U 265 | F 542720 | FPS 1334 | D 446 | rR:μσmM 98.68 0.10 98.56 98.83 | F:μσmM 14.7 1.1 13.0 16.0 | H 0.000 | V 79.910 | pL -8.232 | vL 100.415 | ∇ 2.262\n",
            "U 266 | F 544768 | FPS 1337 | D 448 | rR:μσmM 98.69 0.11 98.56 98.83 | F:μσmM 14.5 1.2 13.0 16.0 | H 0.000 | V 80.280 | pL -8.215 | vL 97.806 | ∇ 1.140\n",
            "U 267 | F 546816 | FPS 1299 | D 450 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 80.489 | pL -7.987 | vL 93.766 | ∇ 2.627\n",
            "U 268 | F 548864 | FPS 1386 | D 451 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.4 1.1 13.0 16.0 | H 0.000 | V 80.742 | pL -7.990 | vL 91.963 | ∇ 10.011\n",
            "U 269 | F 550912 | FPS 1343 | D 453 | rR:μσmM 98.71 0.10 98.56 98.83 | F:μσmM 14.3 1.1 13.0 16.0 | H 0.000 | V 81.068 | pL -7.601 | vL 88.200 | ∇ 2.155\n",
            "U 270 | F 552960 | FPS 1385 | D 454 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.6 1.1 13.0 16.0 | H 0.000 | V 81.296 | pL -7.534 | vL 84.384 | ∇ 1.142\n",
            "Status saved\n",
            "U 271 | F 555008 | FPS 0971 | D 456 | rR:μσmM 98.68 0.10 98.56 98.83 | F:μσmM 14.6 1.1 13.0 16.0 | H 0.000 | V 81.552 | pL -7.229 | vL 80.162 | ∇ 3.107\n",
            "U 272 | F 557056 | FPS 1013 | D 458 | rR:μσmM 98.71 0.10 98.56 98.83 | F:μσmM 14.4 1.1 13.0 16.0 | H 0.000 | V 81.874 | pL -7.122 | vL 76.997 | ∇ 1.034\n",
            "U 273 | F 559104 | FPS 1345 | D 460 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 82.160 | pL -6.898 | vL 73.104 | ∇ 1.020\n",
            "U 274 | F 561152 | FPS 1334 | D 461 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 82.432 | pL -6.778 | vL 69.743 | ∇ 0.672\n",
            "U 275 | F 563200 | FPS 1316 | D 463 | rR:μσmM 98.68 0.10 98.56 98.83 | F:μσmM 14.6 1.1 13.0 16.0 | H 0.000 | V 82.867 | pL -6.431 | vL 64.740 | ∇ 0.930\n",
            "U 276 | F 565248 | FPS 1357 | D 464 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.4 1.2 13.0 16.0 | H 0.000 | V 83.208 | pL -5.957 | vL 61.201 | ∇ 1.911\n",
            "U 277 | F 567296 | FPS 1328 | D 466 | rR:μσmM 98.69 0.11 98.56 98.83 | F:μσmM 14.6 1.2 13.0 16.0 | H 0.000 | V 83.389 | pL -5.961 | vL 57.970 | ∇ 2.381\n",
            "U 278 | F 569344 | FPS 1300 | D 467 | rR:μσmM 98.70 0.09 98.56 98.83 | F:μσmM 14.4 1.0 13.0 16.0 | H 0.000 | V 83.573 | pL -5.975 | vL 57.565 | ∇ 1.517\n",
            "U 279 | F 571392 | FPS 0894 | D 470 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.6 1.2 13.0 16.0 | H 0.000 | V 83.901 | pL -5.593 | vL 53.346 | ∇ 1.036\n",
            "U 280 | F 573440 | FPS 1201 | D 471 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 84.130 | pL -5.466 | vL 50.532 | ∇ 3.466\n",
            "Status saved\n",
            "U 281 | F 575488 | FPS 1331 | D 473 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.4 1.1 13.0 16.0 | H 0.000 | V 84.422 | pL -5.274 | vL 48.426 | ∇ 3.290\n",
            "U 282 | F 577536 | FPS 1311 | D 475 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 84.884 | pL -4.978 | vL 44.277 | ∇ 3.182\n",
            "U 283 | F 579584 | FPS 1349 | D 476 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.6 1.1 13.0 16.0 | H 0.000 | V 85.024 | pL -4.830 | vL 41.938 | ∇ 1.230\n",
            "U 284 | F 581632 | FPS 1361 | D 478 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.4 1.1 13.0 16.0 | H 0.000 | V 85.270 | pL -4.702 | vL 40.358 | ∇ 1.301\n",
            "U 285 | F 583680 | FPS 1303 | D 479 | rR:μσmM 98.70 0.11 98.56 98.83 | F:μσmM 14.5 1.2 13.0 16.0 | H 0.000 | V 85.424 | pL -4.702 | vL 38.469 | ∇ 1.599\n",
            "U 286 | F 585728 | FPS 1159 | D 481 | rR:μσmM 98.70 0.09 98.56 98.83 | F:μσmM 14.5 1.0 13.0 16.0 | H 0.000 | V 85.823 | pL -4.434 | vL 35.187 | ∇ 2.405\n",
            "U 287 | F 587776 | FPS 0885 | D 483 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.4 1.2 13.0 16.0 | H 0.001 | V 85.976 | pL -4.185 | vL 34.049 | ∇ 4.383\n",
            "U 288 | F 589824 | FPS 1371 | D 485 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.6 1.1 13.0 16.0 | H 0.001 | V 86.092 | pL -4.291 | vL 32.075 | ∇ 0.617\n",
            "U 289 | F 591872 | FPS 1303 | D 486 | rR:μσmM 98.68 0.10 98.56 98.83 | F:μσmM 14.7 1.1 13.0 16.0 | H 0.000 | V 86.380 | pL -3.999 | vL 29.824 | ∇ 0.953\n",
            "U 290 | F 593920 | FPS 1299 | D 488 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.4 1.1 13.0 16.0 | H 0.000 | V 86.580 | pL -3.799 | vL 28.272 | ∇ 1.907\n",
            "Status saved\n",
            "U 291 | F 595968 | FPS 1337 | D 489 | rR:μσmM 98.71 0.10 98.56 98.83 | F:μσmM 14.4 1.1 13.0 16.0 | H 0.000 | V 86.758 | pL -3.821 | vL 27.066 | ∇ 0.723\n",
            "U 292 | F 598016 | FPS 1349 | D 491 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.6 1.1 13.0 16.0 | H 0.000 | V 87.127 | pL -3.514 | vL 25.407 | ∇ 1.410\n",
            "U 293 | F 600064 | FPS 1345 | D 492 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.001 | V 87.348 | pL -3.285 | vL 22.356 | ∇ 1.476\n",
            "U 294 | F 602112 | FPS 1062 | D 494 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.001 | V 87.774 | pL -3.049 | vL 20.333 | ∇ 1.270\n",
            "U 295 | F 604160 | FPS 0915 | D 497 | rR:μσmM 98.69 0.10 98.47 98.83 | F:μσmM 14.5 1.1 13.0 17.0 | H 0.000 | V 87.797 | pL -2.976 | vL 18.770 | ∇ 1.259\n",
            "U 296 | F 606208 | FPS 1361 | D 498 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.6 1.1 13.0 16.0 | H 0.001 | V 87.885 | pL -2.794 | vL 17.454 | ∇ 1.717\n",
            "U 297 | F 608256 | FPS 1350 | D 500 | rR:μσmM 98.68 0.09 98.56 98.83 | F:μσmM 14.6 1.0 13.0 16.0 | H 0.000 | V 88.179 | pL -2.747 | vL 15.989 | ∇ 0.809\n",
            "U 298 | F 610304 | FPS 1317 | D 501 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.5 1.1 13.0 16.0 | H 0.000 | V 88.361 | pL -2.672 | vL 15.225 | ∇ 1.009\n",
            "U 299 | F 612352 | FPS 1285 | D 503 | rR:μσmM 98.70 0.10 98.56 98.83 | F:μσmM 14.4 1.1 13.0 16.0 | H 0.000 | V 88.605 | pL -2.513 | vL 13.739 | ∇ 0.733\n",
            "U 300 | F 614400 | FPS 1347 | D 504 | rR:μσmM 98.69 0.10 98.56 98.83 | F:μσmM 14.6 1.1 13.0 16.0 | H 0.000 | V 88.706 | pL -2.454 | vL 12.553 | ∇ 1.058\n",
            "Status saved\n",
            "Sparse_Easy took 8.0 minutes and 31.393205881118774 seconds\n",
            "/usr/local/lib/python3.10/dist-packages/rl-starter-files/scripts/train.py --algo ppo --env MiniGrid-Dense_Easy-v0 --frames 614400 --model Dense_Easy --recurrence 8\n",
            "\n",
            "Namespace(algo='ppo', env='MiniGrid-Dense_Easy-v0', model='Dense_Easy', seed=1, log_interval=1, save_interval=10, procs=16, frames=614400, epochs=4, batch_size=256, frames_per_proc=None, discount=0.99, lr=0.001, gae_lambda=0.95, entropy_coef=0.01, value_loss_coef=0.5, max_grad_norm=0.5, optim_eps=1e-08, optim_alpha=0.99, clip_eps=0.2, recurrence=8, text=False, mem=True)\n",
            "\n",
            "Device: cpu\n",
            "\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `reset()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "Environments loaded\n",
            "\n",
            "Training status loaded\n",
            "\n",
            "Observations preprocessor loaded\n",
            "Model loaded\n",
            "\n",
            "ACModel(\n",
            "  (image_conv): Sequential(\n",
            "    (0): Conv2d(3, 16, kernel_size=(2, 2), stride=(1, 1))\n",
            "    (1): ReLU()\n",
            "    (2): MaxPool2d(kernel_size=(2, 2), stride=(2, 2), padding=0, dilation=1, ceil_mode=False)\n",
            "    (3): Conv2d(16, 32, kernel_size=(2, 2), stride=(1, 1))\n",
            "    (4): ReLU()\n",
            "    (5): Conv2d(32, 64, kernel_size=(2, 2), stride=(1, 1))\n",
            "    (6): ReLU()\n",
            "  )\n",
            "  (memory_rnn): LSTMCell(64, 64)\n",
            "  (actor): Sequential(\n",
            "    (0): Linear(in_features=64, out_features=64, bias=True)\n",
            "    (1): Tanh()\n",
            "    (2): Linear(in_features=64, out_features=7, bias=True)\n",
            "  )\n",
            "  (critic): Sequential(\n",
            "    (0): Linear(in_features=64, out_features=64, bias=True)\n",
            "    (1): Tanh()\n",
            "    (2): Linear(in_features=64, out_features=1, bias=True)\n",
            "  )\n",
            ")\n",
            "\n",
            "Optimizer loaded\n",
            "\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "U 1 | F 002048 | FPS 1276 | D 1 | rR:μσmM 23.18 40.16 0.00 95.45 | F:μσmM 26.9 47.7 0.0 127.0 | H 1.935 | V 0.297 | pL -3.198 | vL 130.526 | ∇ 1.656\n",
            "U 2 | F 004096 | FPS 1377 | D 3 | rR:μσmM 55.82 43.32 0.00 95.45 | F:μσmM 90.5 75.5 0.0 192.0 | H 1.886 | V 0.524 | pL -3.901 | vL 174.974 | ∇ 3.039\n",
            "U 3 | F 006144 | FPS 1316 | D 4 | rR:μσmM 86.47 6.81 71.14 95.58 | F:μσmM 175.6 74.0 76.0 341.0 | H 1.850 | V 0.864 | pL -4.046 | vL 171.267 | ∇ 2.202\n",
            "U 4 | F 008192 | FPS 1383 | D 6 | rR:μσmM 85.60 7.51 71.14 95.58 | F:μσmM 184.9 81.8 76.0 341.0 | H 1.790 | V 1.045 | pL -3.439 | vL 152.483 | ∇ 3.900\n",
            "U 5 | F 010240 | FPS 1300 | D 7 | rR:μσmM 76.19 13.95 48.31 94.70 | F:μσmM 288.0 152.3 86.0 588.0 | H 1.757 | V 1.158 | pL -4.017 | vL 146.048 | ∇ 4.913\n",
            "U 6 | F 012288 | FPS 1282 | D 9 | rR:μσmM 74.11 18.52 40.21 98.38 | F:μσmM 310.1 201.4 45.0 678.0 | H 1.693 | V 1.503 | pL -6.407 | vL 267.534 | ∇ 3.770\n",
            "U 7 | F 014336 | FPS 0935 | D 11 | rR:μσmM 88.93 6.16 79.50 98.38 | F:μσmM 148.6 67.1 45.0 252.0 | H 1.618 | V 1.764 | pL -7.382 | vL 344.113 | ∇ 5.806\n",
            "U 8 | F 016384 | FPS 1053 | D 13 | rR:μσmM 88.69 8.74 71.01 99.87 | F:μσmM 150.7 94.8 29.0 342.0 | H 1.596 | V 2.113 | pL -14.963 | vL 665.422 | ∇ 8.094\n",
            "U 9 | F 018432 | FPS 1336 | D 14 | rR:μσmM 93.30 5.53 83.25 100.69 | F:μσmM 100.6 60.3 20.0 209.0 | H 1.472 | V 2.240 | pL -8.416 | vL 405.089 | ∇ 7.066\n",
            "U 10 | F 020480 | FPS 1395 | D 16 | rR:μσmM 92.09 6.92 78.76 100.69 | F:μσmM 113.6 75.1 20.0 258.0 | H 1.334 | V 2.503 | pL -7.593 | vL 385.868 | ∇ 6.129\n",
            "Status saved\n",
            "U 11 | F 022528 | FPS 1396 | D 17 | rR:μσmM 88.29 8.61 70.35 99.33 | F:μσmM 154.7 93.2 35.0 349.0 | H 1.325 | V 2.632 | pL -11.321 | vL 517.927 | ∇ 6.671\n",
            "U 12 | F 024576 | FPS 1349 | D 19 | rR:μσmM 89.02 8.17 73.66 99.50 | F:μσmM 146.8 88.6 33.0 313.0 | H 1.265 | V 2.867 | pL -7.925 | vL 361.663 | ∇ 5.366\n",
            "U 13 | F 026624 | FPS 1312 | D 21 | rR:μσmM 93.10 6.47 73.74 99.86 | F:μσmM 102.5 70.2 29.0 312.0 | H 1.210 | V 3.198 | pL -12.098 | vL 618.390 | ∇ 11.203\n",
            "U 14 | F 028672 | FPS 1322 | D 22 | rR:μσmM 94.80 4.72 77.17 100.68 | F:μσmM 83.9 51.3 20.0 275.0 | H 1.140 | V 3.475 | pL -15.101 | vL 764.853 | ∇ 9.173\n",
            "U 15 | F 030720 | FPS 0835 | D 25 | rR:μσmM 93.75 8.31 66.36 99.96 | F:μσmM 95.3 90.1 28.0 392.0 | H 1.027 | V 3.561 | pL -11.457 | vL 575.020 | ∇ 8.001\n",
            "U 16 | F 032768 | FPS 1167 | D 26 | rR:μσmM 92.62 6.54 74.38 99.42 | F:μσmM 107.5 70.8 34.0 305.0 | H 1.070 | V 3.852 | pL -12.855 | vL 636.584 | ∇ 9.125\n",
            "U 17 | F 034816 | FPS 1312 | D 28 | rR:μσmM 94.44 6.72 71.27 99.95 | F:μσmM 87.9 72.9 28.0 339.0 | H 1.092 | V 4.260 | pL -16.143 | vL 835.447 | ∇ 10.943\n",
            "U 18 | F 036864 | FPS 1386 | D 29 | rR:μσmM 96.06 3.45 85.47 100.69 | F:μσmM 70.3 37.4 20.0 185.0 | H 1.005 | V 4.494 | pL -12.844 | vL 659.943 | ∇ 10.726\n",
            "U 19 | F 038912 | FPS 1342 | D 31 | rR:μσmM 95.47 4.96 80.12 101.05 | F:μσmM 76.6 53.8 16.0 243.0 | H 0.970 | V 4.867 | pL -16.220 | vL 822.236 | ∇ 10.653\n",
            "U 20 | F 040960 | FPS 1355 | D 32 | rR:μσmM 95.20 8.49 60.18 100.69 | F:μσmM 79.6 92.0 20.0 459.0 | H 0.864 | V 5.195 | pL -18.758 | vL 970.878 | ∇ 17.395\n",
            "Status saved\n",
            "U 21 | F 043008 | FPS 1282 | D 34 | rR:μσmM 96.18 4.74 83.54 100.78 | F:μσmM 69.0 51.4 19.0 206.0 | H 0.896 | V 5.613 | pL -19.500 | vL 996.536 | ∇ 17.076\n",
            "U 22 | F 045056 | FPS 1108 | D 36 | rR:μσmM 96.19 4.84 79.65 100.96 | F:μσmM 68.8 52.5 17.0 248.0 | H 0.777 | V 6.084 | pL -18.815 | vL 945.229 | ∇ 12.079\n",
            "U 23 | F 047104 | FPS 0881 | D 38 | rR:μσmM 95.42 3.51 83.71 100.86 | F:μσmM 77.2 38.0 18.0 204.0 | H 0.604 | V 6.343 | pL -18.305 | vL 890.310 | ∇ 18.323\n",
            "U 24 | F 049152 | FPS 1343 | D 40 | rR:μσmM 96.44 3.06 87.24 100.96 | F:μσmM 66.2 33.2 17.0 166.0 | H 0.647 | V 6.620 | pL -19.120 | vL 948.243 | ∇ 11.470\n",
            "U 25 | F 051200 | FPS 1277 | D 41 | rR:μσmM 97.81 2.10 91.37 101.24 | F:μσmM 51.4 22.9 14.0 121.0 | H 0.596 | V 7.098 | pL -23.073 | vL 1173.347 | ∇ 20.412\n",
            "U 26 | F 053248 | FPS 1326 | D 43 | rR:μσmM 97.63 2.49 88.80 100.78 | F:μσmM 53.3 27.1 19.0 149.0 | H 0.672 | V 7.461 | pL -24.745 | vL 1241.245 | ∇ 18.224\n",
            "U 27 | F 055296 | FPS 1268 | D 44 | rR:μσmM 98.13 2.44 91.09 101.14 | F:μσmM 47.9 26.5 15.0 124.0 | H 0.712 | V 8.132 | pL -26.708 | vL 1370.384 | ∇ 14.103\n",
            "U 28 | F 057344 | FPS 1258 | D 46 | rR:μσmM 98.74 1.79 91.32 101.23 | F:μσmM 41.2 19.5 14.0 122.0 | H 0.668 | V 8.965 | pL -29.957 | vL 1509.876 | ∇ 14.051\n",
            "U 29 | F 059392 | FPS 1350 | D 48 | rR:μσmM 99.06 1.25 96.25 101.14 | F:μσmM 37.7 13.6 15.0 68.0 | H 0.650 | V 9.698 | pL -31.697 | vL 1614.376 | ∇ 13.966\n",
            "U 30 | F 061440 | FPS 0929 | D 50 | rR:μσmM 99.27 1.27 95.90 101.32 | F:μσmM 35.4 13.9 13.0 72.0 | H 0.629 | V 10.364 | pL -33.871 | vL 1762.580 | ∇ 22.939\n",
            "Status saved\n",
            "U 31 | F 063488 | FPS 1081 | D 52 | rR:μσmM 99.32 1.16 96.53 101.14 | F:μσmM 34.9 12.7 15.0 65.0 | H 0.572 | V 11.074 | pL -32.084 | vL 1641.955 | ∇ 18.053\n",
            "U 32 | F 065536 | FPS 1310 | D 53 | rR:μσmM 99.53 1.32 95.67 101.24 | F:μσmM 32.6 14.5 14.0 75.0 | H 0.569 | V 11.769 | pL -34.817 | vL 1805.916 | ∇ 17.570\n",
            "U 33 | F 067584 | FPS 1308 | D 55 | rR:μσmM 99.27 1.32 95.16 101.14 | F:μσmM 35.5 14.5 15.0 81.0 | H 0.505 | V 12.586 | pL -33.196 | vL 1685.940 | ∇ 16.696\n",
            "U 34 | F 069632 | FPS 1318 | D 56 | rR:μσmM 99.55 0.94 97.25 101.05 | F:μσmM 32.4 10.3 16.0 58.0 | H 0.519 | V 13.056 | pL -33.032 | vL 1670.220 | ∇ 19.589\n",
            "U 35 | F 071680 | FPS 1289 | D 58 | rR:μσmM 99.97 0.84 96.69 101.23 | F:μσmM 27.7 9.3 14.0 64.0 | H 0.510 | V 13.574 | pL -37.974 | vL 2018.159 | ∇ 30.277\n",
            "U 36 | F 073728 | FPS 1275 | D 60 | rR:μσmM 99.93 0.74 97.86 101.14 | F:μσmM 28.2 8.1 15.0 51.0 | H 0.508 | V 14.552 | pL -37.521 | vL 1938.943 | ∇ 18.791\n",
            "U 37 | F 075776 | FPS 1134 | D 61 | rR:μσmM 100.01 0.71 96.96 101.05 | F:μσmM 27.4 7.8 16.0 61.0 | H 0.492 | V 15.364 | pL -38.191 | vL 1966.383 | ∇ 18.522\n",
            "U 38 | F 077824 | FPS 0848 | D 64 | rR:μσmM 99.85 0.84 96.45 101.04 | F:μσmM 29.0 9.2 16.0 66.0 | H 0.492 | V 16.087 | pL -37.763 | vL 1908.185 | ∇ 19.036\n",
            "U 39 | F 079872 | FPS 1335 | D 65 | rR:μσmM 100.13 0.66 98.00 101.24 | F:μσmM 26.0 7.3 14.0 49.0 | H 0.447 | V 16.911 | pL -38.727 | vL 1959.576 | ∇ 18.012\n",
            "U 40 | F 081920 | FPS 1316 | D 67 | rR:μσmM 100.04 0.81 96.68 101.41 | F:μσmM 27.0 8.9 12.0 64.0 | H 0.419 | V 17.615 | pL -37.486 | vL 1886.024 | ∇ 18.008\n",
            "Status saved\n",
            "U 41 | F 083968 | FPS 1313 | D 69 | rR:μσmM 100.30 0.53 98.42 101.51 | F:μσmM 24.1 5.9 11.0 45.0 | H 0.358 | V 18.248 | pL -40.226 | vL 2061.757 | ∇ 10.965\n",
            "U 42 | F 086016 | FPS 1346 | D 70 | rR:μσmM 100.28 0.57 97.65 101.05 | F:μσmM 24.3 6.2 16.0 53.0 | H 0.351 | V 18.501 | pL -36.409 | vL 1848.717 | ∇ 14.313\n",
            "U 43 | F 088064 | FPS 1322 | D 72 | rR:μσmM 100.19 1.21 90.25 101.41 | F:μσmM 25.3 13.1 12.0 133.0 | H 0.320 | V 19.314 | pL -38.351 | vL 1944.072 | ∇ 12.960\n",
            "U 44 | F 090112 | FPS 1309 | D 73 | rR:μσmM 100.29 0.53 98.12 100.95 | F:μσmM 24.2 5.8 17.0 48.0 | H 0.297 | V 19.978 | pL -40.035 | vL 1993.927 | ∇ 11.313\n",
            "U 45 | F 092160 | FPS 1012 | D 75 | rR:μσmM 100.16 0.58 97.98 101.05 | F:μσmM 25.7 6.4 16.0 50.0 | H 0.302 | V 20.662 | pL -37.262 | vL 1796.571 | ∇ 13.635\n",
            "U 46 | F 094208 | FPS 0964 | D 77 | rR:μσmM 100.17 0.55 98.75 100.95 | F:μσmM 25.6 6.1 17.0 41.0 | H 0.303 | V 21.284 | pL -36.303 | vL 1725.348 | ∇ 9.700\n",
            "U 47 | F 096256 | FPS 1345 | D 79 | rR:μσmM 100.05 0.68 97.34 100.96 | F:μσmM 26.9 7.5 17.0 57.0 | H 0.279 | V 21.873 | pL -35.495 | vL 1671.546 | ∇ 10.622\n",
            "U 48 | F 098304 | FPS 1330 | D 80 | rR:μσmM 100.08 0.57 97.70 100.86 | F:μσmM 26.6 6.3 18.0 53.0 | H 0.245 | V 22.346 | pL -34.624 | vL 1605.558 | ∇ 9.606\n",
            "U 49 | F 100352 | FPS 1308 | D 82 | rR:μσmM 100.20 0.62 98.49 100.86 | F:μσmM 25.2 6.8 18.0 44.0 | H 0.248 | V 22.858 | pL -35.808 | vL 1700.895 | ∇ 11.009\n",
            "U 50 | F 102400 | FPS 1323 | D 84 | rR:μσmM 100.23 0.52 97.84 100.77 | F:μσmM 25.0 5.7 19.0 51.0 | H 0.217 | V 23.546 | pL -36.980 | vL 1736.419 | ∇ 11.211\n",
            "Status saved\n",
            "U 51 | F 104448 | FPS 1269 | D 85 | rR:μσmM 100.07 0.68 96.99 100.87 | F:μσmM 26.7 7.5 18.0 61.0 | H 0.218 | V 24.264 | pL -33.724 | vL 1539.404 | ∇ 13.930\n",
            "U 52 | F 106496 | FPS 1267 | D 87 | rR:μσmM 100.08 0.64 97.61 100.86 | F:μσmM 26.6 7.0 18.0 54.0 | H 0.191 | V 24.858 | pL -33.461 | vL 1508.551 | ∇ 11.296\n",
            "U 53 | F 108544 | FPS 0810 | D 89 | rR:μσmM 99.78 1.04 94.29 100.59 | F:μσmM 29.9 11.5 21.0 90.0 | H 0.165 | V 25.161 | pL -29.991 | vL 1341.657 | ∇ 6.044\n",
            "U 54 | F 110592 | FPS 1233 | D 91 | rR:μσmM 99.92 0.75 96.49 100.86 | F:μσmM 28.3 8.3 18.0 66.0 | H 0.214 | V 25.437 | pL -30.587 | vL 1360.367 | ∇ 17.306\n",
            "U 55 | F 112640 | FPS 1353 | D 92 | rR:μσmM 99.82 0.86 96.72 100.77 | F:μσmM 29.4 9.5 19.0 64.0 | H 0.211 | V 25.695 | pL -28.293 | vL 1247.954 | ∇ 6.855\n",
            "U 56 | F 114688 | FPS 1266 | D 94 | rR:μσmM 99.98 2.51 77.72 100.86 | F:μσmM 27.7 27.2 18.0 269.0 | H 0.216 | V 26.038 | pL -33.796 | vL 1529.664 | ∇ 8.491\n",
            "U 57 | F 116736 | FPS 1259 | D 96 | rR:μσmM 100.24 0.50 98.69 101.32 | F:μσmM 24.9 5.5 13.0 42.0 | H 0.215 | V 26.440 | pL -33.140 | vL 1485.219 | ∇ 12.632\n",
            "U 58 | F 118784 | FPS 1346 | D 97 | rR:μσmM 100.23 0.47 98.93 100.86 | F:μσmM 25.0 5.1 18.0 39.0 | H 0.203 | V 26.874 | pL -34.350 | vL 1528.261 | ∇ 10.342\n",
            "U 59 | F 120832 | FPS 1279 | D 99 | rR:μσmM 100.14 0.65 97.41 101.04 | F:μσmM 25.9 7.2 16.0 56.0 | H 0.189 | V 27.400 | pL -33.342 | vL 1475.475 | ∇ 6.752\n",
            "U 60 | F 122880 | FPS 0995 | D 101 | rR:μσmM 100.21 0.60 98.11 100.96 | F:μσmM 25.2 6.6 17.0 48.0 | H 0.181 | V 27.863 | pL -33.840 | vL 1485.393 | ∇ 7.729\n",
            "Status saved\n",
            "U 61 | F 124928 | FPS 0966 | D 103 | rR:μσmM 100.19 0.53 97.31 100.86 | F:μσmM 25.4 5.9 18.0 57.0 | H 0.163 | V 28.194 | pL -32.078 | vL 1392.756 | ∇ 8.680\n",
            "U 62 | F 126976 | FPS 1304 | D 105 | rR:μσmM 100.19 0.72 97.86 100.96 | F:μσmM 25.3 7.9 17.0 51.0 | H 0.150 | V 28.804 | pL -33.443 | vL 1466.317 | ∇ 7.259\n",
            "U 63 | F 129024 | FPS 1329 | D 106 | rR:μσmM 100.45 0.32 99.12 100.87 | F:μσmM 22.5 3.5 18.0 37.0 | H 0.141 | V 29.273 | pL -34.683 | vL 1527.890 | ∇ 6.534\n",
            "U 64 | F 131072 | FPS 1345 | D 108 | rR:μσmM 100.46 0.30 99.11 100.87 | F:μσmM 22.4 3.3 18.0 37.0 | H 0.147 | V 29.623 | pL -35.302 | vL 1556.588 | ∇ 7.161\n",
            "U 65 | F 133120 | FPS 1339 | D 109 | rR:μσmM 100.33 0.47 98.04 100.96 | F:μσmM 23.8 5.2 17.0 49.0 | H 0.151 | V 30.004 | pL -34.276 | vL 1465.353 | ∇ 5.843\n",
            "U 66 | F 135168 | FPS 1300 | D 111 | rR:μσmM 100.37 0.32 98.95 100.87 | F:μσmM 23.4 3.5 18.0 39.0 | H 0.145 | V 30.540 | pL -34.370 | vL 1474.836 | ∇ 8.069\n",
            "U 67 | F 137216 | FPS 1299 | D 112 | rR:μσmM 100.31 0.32 99.12 100.86 | F:μσmM 24.1 3.5 18.0 37.0 | H 0.126 | V 31.104 | pL -33.836 | vL 1416.026 | ∇ 6.502\n",
            "U 68 | F 139264 | FPS 0873 | D 115 | rR:μσmM 100.34 0.31 99.32 100.95 | F:μσmM 23.8 3.5 17.0 35.0 | H 0.130 | V 31.633 | pL -33.176 | vL 1398.927 | ∇ 7.002\n",
            "U 69 | F 141312 | FPS 1080 | D 117 | rR:μσmM 100.36 0.29 99.40 101.23 | F:μσmM 23.5 3.2 14.0 34.0 | H 0.144 | V 32.026 | pL -32.609 | vL 1366.923 | ∇ 10.443\n",
            "U 70 | F 143360 | FPS 1267 | D 118 | rR:μσmM 100.42 0.25 99.59 101.14 | F:μσmM 22.8 2.8 15.0 32.0 | H 0.092 | V 32.486 | pL -33.498 | vL 1406.408 | ∇ 6.181\n",
            "Status saved\n",
            "U 71 | F 145408 | FPS 1298 | D 120 | rR:μσmM 100.29 0.25 99.22 100.77 | F:μσmM 24.3 2.8 19.0 36.0 | H 0.100 | V 32.866 | pL -31.780 | vL 1298.167 | ∇ 4.891\n",
            "U 72 | F 147456 | FPS 1260 | D 121 | rR:μσmM 100.27 0.29 98.86 100.78 | F:μσmM 24.4 3.2 19.0 40.0 | H 0.092 | V 33.245 | pL -30.722 | vL 1245.664 | ∇ 6.605\n",
            "U 73 | F 149504 | FPS 1301 | D 123 | rR:μσmM 100.31 0.21 99.58 100.96 | F:μσmM 24.1 2.3 17.0 32.0 | H 0.091 | V 33.552 | pL -31.229 | vL 1242.059 | ∇ 6.660\n",
            "U 74 | F 151552 | FPS 1332 | D 125 | rR:μσmM 100.20 0.50 96.16 100.59 | F:μσmM 25.3 5.4 21.0 69.0 | H 0.101 | V 33.935 | pL -29.939 | vL 1181.105 | ∇ 8.015\n",
            "U 75 | F 153600 | FPS 1113 | D 126 | rR:μσmM 100.23 0.33 99.12 100.68 | F:μσmM 24.9 3.6 20.0 37.0 | H 0.087 | V 34.226 | pL -30.512 | vL 1210.469 | ∇ 9.725\n",
            "U 76 | F 155648 | FPS 0901 | D 129 | rR:μσmM 100.25 0.29 99.13 101.23 | F:μσmM 24.7 3.2 14.0 37.0 | H 0.075 | V 34.645 | pL -30.518 | vL 1213.323 | ∇ 5.928\n",
            "U 77 | F 157696 | FPS 1372 | D 130 | rR:μσmM 100.05 0.52 97.49 100.59 | F:μσmM 27.0 5.7 21.0 55.0 | H 0.083 | V 34.940 | pL -27.358 | vL 1051.154 | ∇ 4.111\n",
            "U 78 | F 159744 | FPS 1309 | D 132 | rR:μσmM 100.10 0.50 97.58 100.77 | F:μσmM 26.4 5.5 19.0 54.0 | H 0.081 | V 35.396 | pL -28.380 | vL 1100.043 | ∇ 8.855\n",
            "U 79 | F 161792 | FPS 1383 | D 133 | rR:μσmM 100.16 0.32 98.40 100.50 | F:μσmM 25.7 3.5 22.0 45.0 | H 0.070 | V 35.896 | pL -29.319 | vL 1112.160 | ∇ 5.032\n",
            "U 80 | F 163840 | FPS 1299 | D 135 | rR:μσmM 100.20 0.22 99.41 100.68 | F:μσmM 25.3 2.4 20.0 34.0 | H 0.063 | V 36.197 | pL -29.276 | vL 1118.703 | ∇ 6.718\n",
            "Status saved\n",
            "U 81 | F 165888 | FPS 1355 | D 136 | rR:μσmM 100.23 0.18 99.77 100.59 | F:μσmM 24.9 2.0 21.0 30.0 | H 0.053 | V 36.760 | pL -29.814 | vL 1131.314 | ∇ 5.990\n",
            "U 82 | F 167936 | FPS 1326 | D 138 | rR:μσmM 100.29 0.18 99.96 100.78 | F:μσmM 24.2 1.9 19.0 28.0 | H 0.052 | V 37.074 | pL -29.346 | vL 1108.099 | ∇ 6.213\n",
            "U 83 | F 169984 | FPS 0984 | D 140 | rR:μσmM 100.30 0.19 99.59 100.69 | F:μσmM 24.2 2.1 20.0 32.0 | H 0.049 | V 37.543 | pL -28.965 | vL 1094.339 | ∇ 5.303\n",
            "U 84 | F 172032 | FPS 1015 | D 142 | rR:μσmM 100.32 0.18 99.86 100.78 | F:μσmM 24.0 2.0 19.0 29.0 | H 0.041 | V 37.820 | pL -29.360 | vL 1107.095 | ∇ 4.940\n",
            "U 85 | F 174080 | FPS 1227 | D 144 | rR:μσmM 100.29 0.16 100.04 100.69 | F:μσmM 24.3 1.7 20.0 27.0 | H 0.027 | V 38.162 | pL -28.754 | vL 1063.637 | ∇ 3.108\n",
            "U 86 | F 176128 | FPS 1289 | D 145 | rR:μσmM 100.29 0.14 100.13 100.59 | F:μσmM 24.3 1.6 21.0 26.0 | H 0.018 | V 38.398 | pL -28.624 | vL 1062.151 | ∇ 4.098\n",
            "U 87 | F 178176 | FPS 1279 | D 147 | rR:μσmM 100.25 0.13 100.04 100.59 | F:μσmM 24.7 1.4 21.0 27.0 | H 0.015 | V 38.753 | pL -28.033 | vL 1034.947 | ∇ 2.099\n",
            "U 88 | F 180224 | FPS 1288 | D 148 | rR:μσmM 100.29 0.16 100.04 100.78 | F:μσmM 24.3 1.7 19.0 27.0 | H 0.027 | V 39.059 | pL -28.427 | vL 1034.435 | ∇ 4.608\n",
            "U 89 | F 182272 | FPS 1349 | D 150 | rR:μσmM 100.26 0.12 100.05 100.59 | F:μσmM 24.6 1.3 21.0 27.0 | H 0.027 | V 39.332 | pL -27.589 | vL 1004.726 | ∇ 4.779\n",
            "U 90 | F 184320 | FPS 1265 | D 152 | rR:μσmM 100.29 0.14 100.04 100.59 | F:μσmM 24.3 1.5 21.0 27.0 | H 0.028 | V 39.605 | pL -27.726 | vL 994.551 | ∇ 4.512\n",
            "Status saved\n",
            "U 91 | F 186368 | FPS 0883 | D 154 | rR:μσmM 100.31 0.14 100.13 100.59 | F:μσmM 24.0 1.5 21.0 26.0 | H 0.034 | V 39.870 | pL -27.856 | vL 1008.034 | ∇ 4.457\n",
            "U 92 | F 188416 | FPS 1217 | D 156 | rR:μσmM 100.31 0.15 100.13 100.68 | F:μσmM 24.1 1.6 20.0 26.0 | H 0.016 | V 40.103 | pL -26.990 | vL 973.136 | ∇ 39.536\n",
            "U 93 | F 190464 | FPS 1279 | D 157 | rR:μσmM 100.29 0.16 100.04 100.78 | F:μσmM 24.2 1.7 19.0 27.0 | H 0.020 | V 40.380 | pL -27.325 | vL 972.389 | ∇ 4.761\n",
            "U 94 | F 192512 | FPS 1301 | D 159 | rR:μσmM 100.34 0.16 100.13 100.59 | F:μσmM 23.7 1.7 21.0 26.0 | H 0.019 | V 40.682 | pL -28.105 | vL 998.982 | ∇ 8.148\n",
            "U 95 | F 194560 | FPS 1281 | D 160 | rR:μσmM 100.35 0.20 100.13 100.78 | F:μσmM 23.6 2.1 19.0 26.0 | H 0.016 | V 40.999 | pL -27.726 | vL 991.353 | ∇ 3.074\n",
            "U 96 | F 196608 | FPS 1299 | D 162 | rR:μσmM 100.35 0.18 100.13 100.68 | F:μσmM 23.6 1.9 20.0 26.0 | H 0.013 | V 41.299 | pL -27.465 | vL 969.751 | ∇ 2.032\n",
            "U 97 | F 198656 | FPS 1337 | D 164 | rR:μσmM 100.32 0.18 100.13 100.68 | F:μσmM 24.0 1.9 20.0 26.0 | H 0.012 | V 41.576 | pL -27.266 | vL 952.574 | ∇ 2.170\n",
            "U 98 | F 200704 | FPS 1067 | D 165 | rR:μσmM 100.38 0.18 100.13 100.78 | F:μσmM 23.3 2.0 19.0 26.0 | H 0.016 | V 41.792 | pL -27.402 | vL 957.518 | ∇ 6.170\n",
            "U 99 | F 202752 | FPS 0923 | D 168 | rR:μσmM 100.35 0.18 100.13 100.78 | F:μσmM 23.6 1.9 19.0 26.0 | H 0.007 | V 42.057 | pL -27.184 | vL 945.186 | ∇ 2.884\n",
            "U 100 | F 204800 | FPS 1312 | D 169 | rR:μσmM 100.35 0.19 100.13 100.78 | F:μσmM 23.6 2.0 19.0 26.0 | H 0.012 | V 42.350 | pL -26.555 | vL 932.312 | ∇ 6.655\n",
            "Status saved\n",
            "U 101 | F 206848 | FPS 1352 | D 171 | rR:μσmM 100.35 0.19 100.13 100.78 | F:μσmM 23.7 2.0 19.0 26.0 | H 0.007 | V 42.718 | pL -26.382 | vL 899.354 | ∇ 1.303\n",
            "U 102 | F 208896 | FPS 1343 | D 172 | rR:μσmM 100.38 0.18 100.13 100.59 | F:μσmM 23.3 1.9 21.0 26.0 | H 0.008 | V 42.958 | pL -26.576 | vL 913.634 | ∇ 5.633\n",
            "U 103 | F 210944 | FPS 1277 | D 174 | rR:μσmM 100.36 0.19 100.13 100.59 | F:μσmM 23.5 2.0 21.0 26.0 | H 0.006 | V 43.215 | pL -26.328 | vL 905.184 | ∇ 16.186\n",
            "U 104 | F 212992 | FPS 1339 | D 175 | rR:μσmM 100.35 0.18 100.13 100.59 | F:μσmM 23.6 1.9 21.0 26.0 | H 0.003 | V 43.477 | pL -26.068 | vL 887.258 | ∇ 3.184\n",
            "U 105 | F 215040 | FPS 1307 | D 177 | rR:μσmM 100.35 0.19 100.13 100.59 | F:μσmM 23.6 2.0 21.0 26.0 | H 0.002 | V 43.763 | pL -25.884 | vL 875.614 | ∇ 23.774\n",
            "U 106 | F 217088 | FPS 0885 | D 179 | rR:μσmM 100.32 0.16 100.13 100.59 | F:μσmM 24.0 1.8 21.0 26.0 | H 0.002 | V 43.984 | pL -25.028 | vL 839.425 | ∇ 9.606\n",
            "U 107 | F 219136 | FPS 1144 | D 181 | rR:μσmM 100.35 0.18 100.13 100.59 | F:μσmM 23.7 1.9 21.0 26.0 | H 0.002 | V 44.273 | pL -25.659 | vL 857.156 | ∇ 2.267\n",
            "U 108 | F 221184 | FPS 1300 | D 183 | rR:μσmM 100.31 0.17 100.13 100.59 | F:μσmM 24.0 1.8 21.0 26.0 | H 0.002 | V 44.514 | pL -25.076 | vL 826.111 | ∇ 1.953\n",
            "U 109 | F 223232 | FPS 1337 | D 184 | rR:μσmM 100.31 0.18 100.13 100.59 | F:μσmM 24.1 1.9 21.0 26.0 | H 0.001 | V 44.734 | pL -25.020 | vL 825.131 | ∇ 28.080\n",
            "U 110 | F 225280 | FPS 1332 | D 186 | rR:μσmM 100.32 0.17 100.13 100.59 | F:μσmM 24.0 1.9 21.0 26.0 | H 0.001 | V 44.965 | pL -24.272 | vL 799.341 | ∇ 28.312\n",
            "Status saved\n",
            "U 111 | F 227328 | FPS 1304 | D 187 | rR:μσmM 100.36 0.18 100.13 100.59 | F:μσmM 23.6 1.9 21.0 26.0 | H 0.001 | V 45.139 | pL -25.077 | vL 824.342 | ∇ 3.300\n",
            "U 112 | F 229376 | FPS 1319 | D 189 | rR:μσmM 100.35 0.19 100.13 100.59 | F:μσmM 23.6 2.0 21.0 26.0 | H 0.001 | V 45.339 | pL -24.493 | vL 798.566 | ∇ 7.193\n",
            "U 113 | F 231424 | FPS 1186 | D 191 | rR:μσmM 100.35 0.18 100.13 100.59 | F:μσmM 23.6 2.0 21.0 26.0 | H 0.001 | V 45.620 | pL -25.196 | vL 812.945 | ∇ 1.070\n",
            "U 114 | F 233472 | FPS 0841 | D 193 | rR:μσmM 100.33 0.17 100.13 100.59 | F:μσmM 23.8 1.9 21.0 26.0 | H 0.001 | V 45.787 | pL -24.197 | vL 786.770 | ∇ 5.784\n",
            "U 115 | F 235520 | FPS 1320 | D 195 | rR:μσmM 100.40 0.17 100.04 100.59 | F:μσmM 23.1 1.9 21.0 27.0 | H 0.001 | V 46.067 | pL -25.290 | vL 815.406 | ∇ 1.915\n",
            "U 116 | F 237568 | FPS 1280 | D 196 | rR:μσmM 100.36 0.19 100.13 100.59 | F:μσmM 23.6 2.0 21.0 26.0 | H 0.001 | V 46.250 | pL -24.102 | vL 781.019 | ∇ 3.101\n",
            "U 117 | F 239616 | FPS 1381 | D 198 | rR:μσmM 100.31 0.18 100.13 100.59 | F:μσmM 24.1 1.9 21.0 26.0 | H 0.001 | V 46.517 | pL -23.536 | vL 758.126 | ∇ 28.888\n",
            "U 118 | F 241664 | FPS 1272 | D 199 | rR:μσmM 100.33 0.18 100.13 100.59 | F:μσmM 23.8 2.0 21.0 26.0 | H 0.001 | V 46.700 | pL -23.260 | vL 739.481 | ∇ 17.079\n",
            "U 119 | F 243712 | FPS 1313 | D 201 | rR:μσmM 100.34 0.17 100.13 100.59 | F:μσmM 23.8 1.9 21.0 26.0 | H 0.001 | V 46.910 | pL -23.898 | vL 752.280 | ∇ 2.658\n",
            "U 120 | F 245760 | FPS 1273 | D 202 | rR:μσmM 100.33 0.18 100.13 100.59 | F:μσmM 23.9 1.9 21.0 26.0 | H 0.001 | V 47.126 | pL -23.546 | vL 733.745 | ∇ 84.995\n",
            "Status saved\n",
            "U 121 | F 247808 | FPS 0900 | D 205 | rR:μσmM 100.35 0.17 100.13 100.59 | F:μσmM 23.6 1.9 21.0 26.0 | H 0.001 | V 47.361 | pL -23.334 | vL 736.317 | ∇ 9.901\n",
            "U 122 | F 249856 | FPS 0987 | D 207 | rR:μσmM 100.35 0.18 100.13 100.59 | F:μσmM 23.6 2.0 21.0 26.0 | H 0.001 | V 47.498 | pL -23.646 | vL 735.286 | ∇ 50.329\n",
            "U 123 | F 251904 | FPS 1211 | D 209 | rR:μσmM 100.35 0.19 100.13 100.59 | F:μσmM 23.6 2.0 21.0 26.0 | H 0.001 | V 47.734 | pL -23.119 | vL 732.581 | ∇ 2.341\n",
            "U 124 | F 253952 | FPS 1334 | D 210 | rR:μσmM 100.32 0.17 100.13 100.59 | F:μσmM 24.0 1.8 21.0 26.0 | H 0.001 | V 47.983 | pL -22.593 | vL 700.962 | ∇ 2.081\n",
            "U 125 | F 256000 | FPS 1347 | D 212 | rR:μσmM 100.31 0.17 100.13 100.59 | F:μσmM 24.0 1.9 21.0 26.0 | H 0.001 | V 48.238 | pL -23.504 | vL 714.976 | ∇ 0.438\n",
            "U 126 | F 258048 | FPS 1293 | D 213 | rR:μσmM 100.34 0.18 100.13 100.59 | F:μσmM 23.7 1.9 21.0 26.0 | H 0.001 | V 48.393 | pL -22.869 | vL 698.641 | ∇ 22.378\n",
            "U 127 | F 260096 | FPS 1271 | D 215 | rR:μσmM 100.34 0.18 100.13 100.59 | F:μσmM 23.8 1.9 21.0 26.0 | H 0.001 | V 48.594 | pL -22.927 | vL 701.811 | ∇ 51.137\n",
            "U 128 | F 262144 | FPS 1170 | D 217 | rR:μσmM 100.34 0.18 100.13 100.59 | F:μσmM 23.7 2.0 21.0 26.0 | H 0.001 | V 48.898 | pL -22.838 | vL 691.367 | ∇ 2.894\n",
            "U 129 | F 264192 | FPS 0860 | D 219 | rR:μσmM 100.37 0.19 100.13 100.59 | F:μσmM 23.4 2.0 21.0 26.0 | H 0.001 | V 49.093 | pL -22.727 | vL 687.683 | ∇ 14.415\n",
            "U 130 | F 266240 | FPS 1295 | D 221 | rR:μσmM 100.34 0.17 100.13 100.59 | F:μσmM 23.7 1.9 21.0 26.0 | H 0.001 | V 49.350 | pL -22.185 | vL 661.953 | ∇ 1.641\n",
            "Status saved\n",
            "U 131 | F 268288 | FPS 1301 | D 222 | rR:μσmM 100.33 0.17 100.13 100.59 | F:μσmM 23.9 1.8 21.0 26.0 | H 0.001 | V 49.535 | pL -22.155 | vL 656.880 | ∇ 28.437\n",
            "U 132 | F 270336 | FPS 1237 | D 224 | rR:μσmM 100.35 0.18 100.13 100.59 | F:μσmM 23.6 2.0 21.0 26.0 | H 0.001 | V 49.785 | pL -22.556 | vL 670.717 | ∇ 2.164\n",
            "U 133 | F 272384 | FPS 1318 | D 225 | rR:μσmM 100.32 0.18 100.13 100.59 | F:μσmM 23.9 1.9 21.0 26.0 | H 0.001 | V 50.007 | pL -22.233 | vL 663.349 | ∇ 18.990\n",
            "U 134 | F 274432 | FPS 1243 | D 227 | rR:μσmM 100.35 0.19 100.13 100.59 | F:μσmM 23.7 2.0 21.0 26.0 | H 0.001 | V 50.277 | pL -21.559 | vL 635.259 | ∇ 1.929\n",
            "U 135 | F 276480 | FPS 1301 | D 229 | rR:μσmM 100.33 0.18 100.13 100.59 | F:μσmM 23.8 2.0 21.0 26.0 | H 0.001 | V 50.477 | pL -21.636 | vL 629.473 | ∇ 11.820\n",
            "U 136 | F 278528 | FPS 0906 | D 231 | rR:μσmM 100.30 0.17 100.13 100.59 | F:μσmM 24.2 1.8 21.0 26.0 | H 0.001 | V 50.740 | pL -20.941 | vL 614.295 | ∇ 5.374\n",
            "U 137 | F 280576 | FPS 1025 | D 233 | rR:μσmM 100.34 0.18 100.13 100.59 | F:μσmM 23.7 1.9 21.0 26.0 | H 0.001 | V 50.956 | pL -21.085 | vL 608.133 | ∇ 63.514\n",
            "U 138 | F 282624 | FPS 1285 | D 234 | rR:μσmM 100.32 0.16 100.13 100.59 | F:μσmM 24.0 1.8 21.0 26.0 | H 0.001 | V 51.241 | pL -21.571 | vL 618.740 | ∇ 1.735\n",
            "U 139 | F 284672 | FPS 1310 | D 236 | rR:μσmM 100.35 0.18 100.13 100.59 | F:μσmM 23.6 2.0 21.0 26.0 | H 0.001 | V 51.495 | pL -20.910 | vL 602.035 | ∇ 27.499\n",
            "U 140 | F 286720 | FPS 1279 | D 238 | rR:μσmM 100.32 0.17 100.13 100.59 | F:μσmM 23.9 1.8 21.0 26.0 | H 0.001 | V 51.785 | pL -20.536 | vL 590.381 | ∇ 3.293\n",
            "Status saved\n",
            "U 141 | F 288768 | FPS 1249 | D 239 | rR:μσmM 100.31 0.15 100.13 100.59 | F:μσmM 24.1 1.7 21.0 26.0 | H 0.000 | V 52.033 | pL -20.644 | vL 588.338 | ∇ 7.796\n",
            "U 142 | F 290816 | FPS 1286 | D 241 | rR:μσmM 100.36 0.17 100.13 100.59 | F:μσmM 23.5 1.8 21.0 26.0 | H 0.000 | V 52.272 | pL -20.753 | vL 585.855 | ∇ 26.867\n",
            "U 143 | F 292864 | FPS 1080 | D 243 | rR:μσmM 100.33 0.18 100.13 100.59 | F:μσmM 23.8 1.9 21.0 26.0 | H 0.001 | V 52.452 | pL -20.785 | vL 584.415 | ∇ 5.769\n",
            "U 144 | F 294912 | FPS 0877 | D 245 | rR:μσmM 100.34 0.17 100.13 100.59 | F:μσmM 23.7 1.8 21.0 26.0 | H 0.000 | V 52.697 | pL -20.059 | vL 555.409 | ∇ 10.126\n",
            "U 145 | F 296960 | FPS 1283 | D 247 | rR:μσmM 100.35 0.19 100.13 100.59 | F:μσmM 23.6 2.0 21.0 26.0 | H 0.001 | V 52.979 | pL -20.560 | vL 561.231 | ∇ 1.059\n",
            "U 146 | F 299008 | FPS 1285 | D 248 | rR:μσmM 100.34 0.18 100.13 100.59 | F:μσmM 23.7 2.0 21.0 26.0 | H 0.001 | V 53.201 | pL -20.074 | vL 551.861 | ∇ 22.500\n",
            "U 147 | F 301056 | FPS 1214 | D 250 | rR:μσmM 100.33 0.18 100.13 100.59 | F:μσmM 23.8 1.9 21.0 26.0 | H 0.001 | V 53.412 | pL -19.925 | vL 538.710 | ∇ 25.744\n",
            "U 148 | F 303104 | FPS 1242 | D 252 | rR:μσmM 100.34 0.17 100.13 100.59 | F:μσmM 23.8 1.9 21.0 26.0 | H 0.001 | V 53.613 | pL -19.618 | vL 532.691 | ∇ 1.335\n",
            "U 149 | F 305152 | FPS 1303 | D 253 | rR:μσmM 100.35 0.17 100.13 100.59 | F:μσmM 23.7 1.9 21.0 26.0 | H 0.000 | V 53.824 | pL -19.367 | vL 533.511 | ∇ 4.843\n",
            "U 150 | F 307200 | FPS 1236 | D 255 | rR:μσmM 100.34 0.18 100.13 100.59 | F:μσmM 23.8 2.0 21.0 26.0 | H 0.000 | V 54.025 | pL -19.724 | vL 535.171 | ∇ 38.319\n",
            "Status saved\n",
            "U 151 | F 309248 | FPS 0877 | D 257 | rR:μσmM 100.32 0.17 100.13 100.59 | F:μσmM 24.0 1.8 21.0 26.0 | H 0.000 | V 54.254 | pL -19.630 | vL 527.673 | ∇ 35.654\n",
            "U 152 | F 311296 | FPS 1180 | D 259 | rR:μσmM 100.33 0.17 100.13 100.59 | F:μσmM 23.9 1.8 21.0 26.0 | H 0.000 | V 54.453 | pL -19.574 | vL 520.610 | ∇ 50.987\n",
            "U 153 | F 313344 | FPS 1293 | D 261 | rR:μσmM 100.35 0.18 100.13 100.59 | F:μσmM 23.7 1.9 21.0 26.0 | H 0.000 | V 54.661 | pL -19.095 | vL 505.378 | ∇ 7.309\n",
            "U 154 | F 315392 | FPS 1337 | D 262 | rR:μσmM 100.33 0.17 100.13 100.59 | F:μσmM 23.8 1.9 21.0 26.0 | H 0.000 | V 54.912 | pL -19.268 | vL 507.066 | ∇ 2.411\n",
            "U 155 | F 317440 | FPS 1266 | D 264 | rR:μσmM 100.32 0.18 100.13 100.59 | F:μσmM 23.9 1.9 21.0 26.0 | H 0.000 | V 55.131 | pL -19.166 | vL 501.735 | ∇ 8.779\n",
            "U 156 | F 319488 | FPS 1267 | D 265 | rR:μσmM 100.35 0.18 100.13 100.59 | F:μσmM 23.6 1.9 21.0 26.0 | H 0.000 | V 55.403 | pL -18.843 | vL 494.945 | ∇ 60.689\n",
            "U 157 | F 321536 | FPS 1280 | D 267 | rR:μσmM 100.34 0.18 100.13 100.59 | F:μσmM 23.7 1.9 21.0 26.0 | H 0.000 | V 55.707 | pL -18.660 | vL 482.563 | ∇ 14.189\n",
            "U 158 | F 323584 | FPS 0973 | D 269 | rR:μσmM 100.32 0.17 100.13 100.59 | F:μσmM 23.9 1.9 21.0 26.0 | H 0.000 | V 55.930 | pL -17.903 | vL 463.538 | ∇ 55.661\n",
            "U 159 | F 325632 | FPS 0960 | D 271 | rR:μσmM 100.31 0.17 100.13 100.59 | F:μσmM 24.1 1.9 21.0 26.0 | H 0.000 | V 56.169 | pL -18.097 | vL 464.911 | ∇ 1.592\n",
            "U 160 | F 327680 | FPS 1323 | D 273 | rR:μσmM 100.31 0.18 100.13 100.59 | F:μσmM 24.0 1.9 21.0 26.0 | H 0.000 | V 56.363 | pL -18.035 | vL 460.503 | ∇ 24.497\n",
            "Status saved\n",
            "U 161 | F 329728 | FPS 1323 | D 274 | rR:μσmM 100.32 0.18 100.13 100.59 | F:μσmM 23.9 2.0 21.0 26.0 | H 0.001 | V 56.623 | pL -18.031 | vL 457.260 | ∇ 60.978\n",
            "U 162 | F 331776 | FPS 1213 | D 276 | rR:μσmM 100.37 0.18 100.13 100.59 | F:μσmM 23.5 1.9 21.0 26.0 | H 0.000 | V 56.889 | pL -17.977 | vL 451.957 | ∇ 16.900\n",
            "U 163 | F 333824 | FPS 1257 | D 278 | rR:μσmM 100.33 0.16 100.13 100.59 | F:μσmM 23.8 1.7 21.0 26.0 | H 0.000 | V 57.134 | pL -17.895 | vL 450.654 | ∇ 2.873\n",
            "U 164 | F 335872 | FPS 1320 | D 279 | rR:μσmM 100.34 0.18 100.13 100.59 | F:μσmM 23.7 2.0 21.0 26.0 | H 0.000 | V 57.315 | pL -17.472 | vL 436.800 | ∇ 4.800\n",
            "U 165 | F 337920 | FPS 1296 | D 281 | rR:μσmM 100.38 0.19 100.13 100.59 | F:μσmM 23.4 2.0 21.0 26.0 | H 0.000 | V 57.592 | pL -17.558 | vL 434.403 | ∇ 2.246\n",
            "U 166 | F 339968 | FPS 0900 | D 283 | rR:μσmM 100.33 0.18 100.13 100.59 | F:μσmM 23.8 1.9 21.0 26.0 | H 0.000 | V 57.783 | pL -17.155 | vL 425.032 | ∇ 6.104\n",
            "U 167 | F 342016 | FPS 1118 | D 285 | rR:μσmM 100.35 0.17 100.13 100.59 | F:μσmM 23.6 1.8 21.0 26.0 | H 0.000 | V 58.013 | pL -17.208 | vL 420.489 | ∇ 9.209\n",
            "U 168 | F 344064 | FPS 1219 | D 287 | rR:μσmM 100.38 0.18 100.13 100.59 | F:μσmM 23.4 1.9 21.0 26.0 | H 0.000 | V 58.242 | pL -17.407 | vL 425.270 | ∇ 20.763\n",
            "U 169 | F 346112 | FPS 1245 | D 288 | rR:μσmM 100.33 0.17 100.13 100.59 | F:μσmM 23.9 1.9 21.0 26.0 | H 0.000 | V 58.485 | pL -16.907 | vL 409.282 | ∇ 24.068\n",
            "U 170 | F 348160 | FPS 1268 | D 290 | rR:μσmM 100.38 0.18 100.13 100.59 | F:μσmM 23.3 1.9 21.0 26.0 | H 0.000 | V 58.753 | pL -17.221 | vL 411.617 | ∇ 4.554\n",
            "Status saved\n",
            "U 171 | F 350208 | FPS 1326 | D 291 | rR:μσmM 100.37 0.18 100.13 100.59 | F:μσmM 23.4 2.0 21.0 26.0 | H 0.000 | V 58.972 | pL -16.869 | vL 405.158 | ∇ 1.465\n",
            "U 172 | F 352256 | FPS 1222 | D 293 | rR:μσmM 100.34 0.17 100.13 100.59 | F:μσmM 23.8 1.8 21.0 26.0 | H 0.001 | V 59.209 | pL -16.791 | vL 394.841 | ∇ 27.259\n",
            "U 173 | F 354304 | FPS 0924 | D 295 | rR:μσmM 100.34 0.18 100.13 100.59 | F:μσmM 23.8 1.9 21.0 26.0 | H 0.000 | V 59.469 | pL -16.410 | vL 389.498 | ∇ 2.327\n",
            "U 174 | F 356352 | FPS 0946 | D 297 | rR:μσmM 100.32 0.16 100.13 100.59 | F:μσmM 23.9 1.7 21.0 26.0 | H 0.000 | V 59.681 | pL -15.881 | vL 373.709 | ∇ 40.662\n",
            "U 175 | F 358400 | FPS 1287 | D 299 | rR:μσmM 100.35 0.18 100.13 100.59 | F:μσmM 23.7 2.0 21.0 26.0 | H 0.000 | V 59.930 | pL -16.397 | vL 382.400 | ∇ 3.456\n",
            "U 176 | F 360448 | FPS 1309 | D 301 | rR:μσmM 100.35 0.18 100.13 100.59 | F:μσmM 23.6 2.0 21.0 26.0 | H 0.000 | V 60.122 | pL -16.186 | vL 376.756 | ∇ 5.212\n",
            "U 177 | F 362496 | FPS 1265 | D 302 | rR:μσmM 100.36 0.17 100.13 100.59 | F:μσmM 23.6 1.8 21.0 26.0 | H 0.000 | V 60.328 | pL -15.895 | vL 368.267 | ∇ 15.821\n",
            "U 178 | F 364544 | FPS 1281 | D 304 | rR:μσmM 100.35 0.19 100.13 100.59 | F:μσmM 23.7 2.1 21.0 26.0 | H 0.000 | V 60.582 | pL -16.576 | vL 378.586 | ∇ 2.029\n",
            "U 179 | F 366592 | FPS 1257 | D 305 | rR:μσmM 100.36 0.19 100.13 100.59 | F:μσmM 23.5 2.0 21.0 26.0 | H 0.000 | V 60.825 | pL -15.583 | vL 359.169 | ∇ 49.932\n",
            "U 180 | F 368640 | FPS 1174 | D 307 | rR:μσmM 100.36 0.18 100.13 100.59 | F:μσmM 23.5 1.9 21.0 26.0 | H 0.000 | V 61.034 | pL -15.464 | vL 353.121 | ∇ 8.891\n",
            "Status saved\n",
            "U 181 | F 370688 | FPS 0840 | D 310 | rR:μσmM 100.30 0.17 100.13 100.59 | F:μσmM 24.1 1.8 21.0 26.0 | H 0.000 | V 61.246 | pL -15.169 | vL 341.508 | ∇ 4.304\n",
            "U 182 | F 372736 | FPS 1312 | D 311 | rR:μσmM 100.31 0.17 100.13 100.59 | F:μσmM 24.1 1.8 21.0 26.0 | H 0.000 | V 61.463 | pL -15.189 | vL 336.437 | ∇ 49.933\n",
            "U 183 | F 374784 | FPS 1350 | D 313 | rR:μσmM 100.37 0.17 100.13 100.59 | F:μσmM 23.4 1.9 21.0 26.0 | H 0.002 | V 61.791 | pL -14.884 | vL 331.046 | ∇ 46.409\n",
            "U 184 | F 376832 | FPS 1269 | D 314 | rR:μσmM 100.31 0.16 100.13 100.59 | F:μσmM 24.1 1.8 21.0 26.0 | H 0.000 | V 62.025 | pL -14.952 | vL 319.651 | ∇ 2.220\n",
            "U 185 | F 378880 | FPS 1326 | D 316 | rR:μσmM 100.34 0.18 100.13 100.59 | F:μσmM 23.7 2.0 21.0 26.0 | H 0.000 | V 62.241 | pL -14.784 | vL 319.563 | ∇ 47.182\n",
            "U 186 | F 380928 | FPS 1264 | D 317 | rR:μσmM 100.33 0.17 100.13 100.59 | F:μσmM 23.8 1.9 21.0 26.0 | H 0.000 | V 62.591 | pL -14.077 | vL 306.072 | ∇ 1.867\n",
            "U 187 | F 382976 | FPS 1252 | D 319 | rR:μσmM 100.35 0.18 100.13 100.59 | F:μσmM 23.7 2.0 21.0 26.0 | H 0.000 | V 62.757 | pL -14.090 | vL 303.457 | ∇ 6.497\n",
            "U 188 | F 385024 | FPS 0914 | D 321 | rR:μσmM 100.34 0.19 100.13 100.59 | F:μσmM 23.7 2.0 21.0 26.0 | H 0.000 | V 62.951 | pL -14.092 | vL 299.396 | ∇ 3.303\n",
            "U 189 | F 387072 | FPS 1044 | D 323 | rR:μσmM 100.35 0.17 100.13 100.59 | F:μσmM 23.7 1.8 21.0 26.0 | H 0.000 | V 63.166 | pL -14.202 | vL 304.864 | ∇ 4.608\n",
            "U 190 | F 389120 | FPS 1240 | D 325 | rR:μσmM 100.33 0.17 100.13 100.59 | F:μσmM 23.9 1.8 21.0 26.0 | H 0.001 | V 63.464 | pL -14.165 | vL 293.658 | ∇ 3.982\n",
            "Status saved\n",
            "U 191 | F 391168 | FPS 1276 | D 327 | rR:μσmM 100.33 0.18 100.13 100.59 | F:μσmM 23.9 1.9 21.0 26.0 | H 0.000 | V 63.766 | pL -13.599 | vL 286.253 | ∇ 3.032\n",
            "U 192 | F 393216 | FPS 1249 | D 328 | rR:μσmM 100.33 0.17 100.13 100.59 | F:μσmM 23.8 1.8 21.0 26.0 | H 0.000 | V 64.077 | pL -13.966 | vL 285.622 | ∇ 1.062\n",
            "U 193 | F 395264 | FPS 1298 | D 330 | rR:μσmM 100.35 0.17 100.13 100.59 | F:μσmM 23.6 1.9 21.0 26.0 | H 0.000 | V 64.262 | pL -13.680 | vL 282.812 | ∇ 3.624\n",
            "U 194 | F 397312 | FPS 1348 | D 331 | rR:μσmM 100.34 0.17 100.13 100.59 | F:μσmM 23.8 1.9 21.0 26.0 | H 0.000 | V 64.489 | pL -13.574 | vL 276.834 | ∇ 2.849\n",
            "U 195 | F 399360 | FPS 1045 | D 333 | rR:μσmM 100.34 0.17 100.13 100.59 | F:μσmM 23.8 1.9 21.0 26.0 | H 0.000 | V 64.740 | pL -13.364 | vL 269.178 | ∇ 2.548\n",
            "U 196 | F 401408 | FPS 0873 | D 336 | rR:μσmM 100.34 0.19 100.13 100.59 | F:μσmM 23.7 2.1 21.0 26.0 | H 0.000 | V 64.997 | pL -13.360 | vL 270.184 | ∇ 2.933\n",
            "U 197 | F 403456 | FPS 1306 | D 337 | rR:μσmM 100.35 0.17 100.13 100.59 | F:μσmM 23.6 1.8 21.0 26.0 | H 0.000 | V 65.272 | pL -13.266 | vL 266.488 | ∇ 2.572\n",
            "U 198 | F 405504 | FPS 1260 | D 339 | rR:μσmM 100.35 0.17 100.13 100.59 | F:μσmM 23.7 1.9 21.0 26.0 | H 0.000 | V 65.488 | pL -12.993 | vL 254.389 | ∇ 3.516\n",
            "U 199 | F 407552 | FPS 1332 | D 340 | rR:μσmM 100.31 0.17 100.13 100.59 | F:μσmM 24.0 1.8 21.0 26.0 | H 0.000 | V 65.682 | pL -12.360 | vL 245.319 | ∇ 10.296\n",
            "U 200 | F 409600 | FPS 1277 | D 342 | rR:μσmM 100.32 0.18 100.13 100.59 | F:μσmM 24.0 1.9 21.0 26.0 | H 0.000 | V 65.885 | pL -11.757 | vL 231.386 | ∇ 10.500\n",
            "Status saved\n",
            "U 201 | F 411648 | FPS 1264 | D 344 | rR:μσmM 100.33 0.18 100.13 100.59 | F:μσmM 23.9 1.9 21.0 26.0 | H 0.000 | V 66.066 | pL -12.320 | vL 236.990 | ∇ 5.650\n",
            "U 202 | F 413696 | FPS 1177 | D 345 | rR:μσmM 100.32 0.18 100.13 100.59 | F:μσmM 24.0 1.9 21.0 26.0 | H 0.000 | V 66.313 | pL -12.407 | vL 240.979 | ∇ 0.914\n",
            "U 203 | F 415744 | FPS 0815 | D 348 | rR:μσmM 100.33 0.17 100.13 100.59 | F:μσmM 23.9 1.9 21.0 26.0 | H 0.000 | V 66.594 | pL -12.427 | vL 236.026 | ∇ 10.139\n",
            "U 204 | F 417792 | FPS 1261 | D 350 | rR:μσmM 100.31 0.17 100.13 100.59 | F:μσmM 24.1 1.8 21.0 26.0 | H 0.000 | V 66.803 | pL -12.166 | vL 230.394 | ∇ 4.303\n",
            "U 205 | F 419840 | FPS 1240 | D 351 | rR:μσmM 100.37 0.17 100.13 100.59 | F:μσmM 23.5 1.9 21.0 26.0 | H 0.000 | V 67.016 | pL -11.419 | vL 220.711 | ∇ 29.460\n",
            "U 206 | F 421888 | FPS 1230 | D 353 | rR:μσmM 100.33 0.18 100.13 100.59 | F:μσmM 23.9 1.9 21.0 26.0 | H 0.000 | V 67.386 | pL -12.020 | vL 218.420 | ∇ 0.816\n",
            "U 207 | F 423936 | FPS 1265 | D 354 | rR:μσmM 100.29 0.16 100.13 100.59 | F:μσmM 24.3 1.7 21.0 26.0 | H 0.000 | V 67.552 | pL -11.464 | vL 211.498 | ∇ 5.881\n",
            "U 208 | F 425984 | FPS 1286 | D 356 | rR:μσmM 100.35 0.19 100.13 100.59 | F:μσmM 23.6 2.0 21.0 26.0 | H 0.000 | V 67.794 | pL -11.448 | vL 211.655 | ∇ 2.547\n",
            "U 209 | F 428032 | FPS 1233 | D 358 | rR:μσmM 100.32 0.18 100.13 100.59 | F:μσmM 23.9 1.9 21.0 26.0 | H 0.000 | V 68.022 | pL -11.334 | vL 208.947 | ∇ 1.734\n",
            "U 210 | F 430080 | FPS 0914 | D 360 | rR:μσmM 100.37 0.19 100.13 100.59 | F:μσmM 23.4 2.1 21.0 26.0 | H 0.000 | V 68.304 | pL -11.546 | vL 206.290 | ∇ 1.443\n",
            "Status saved\n",
            "U 211 | F 432128 | FPS 1041 | D 362 | rR:μσmM 100.35 0.19 100.13 100.59 | F:μσmM 23.6 2.0 21.0 26.0 | H 0.000 | V 68.551 | pL -11.038 | vL 195.795 | ∇ 2.116\n",
            "U 212 | F 434176 | FPS 1234 | D 364 | rR:μσmM 100.33 0.19 100.13 100.59 | F:μσmM 23.8 2.0 21.0 26.0 | H 0.000 | V 68.825 | pL -10.880 | vL 191.866 | ∇ 1.834\n",
            "U 213 | F 436224 | FPS 1255 | D 365 | rR:μσmM 100.36 0.17 100.13 100.59 | F:μσmM 23.6 1.8 21.0 26.0 | H 0.000 | V 69.042 | pL -10.945 | vL 195.767 | ∇ 1.919\n",
            "U 214 | F 438272 | FPS 1269 | D 367 | rR:μσmM 100.30 0.16 100.13 100.59 | F:μσmM 24.1 1.8 21.0 26.0 | H 0.000 | V 69.271 | pL -10.350 | vL 185.285 | ∇ 10.498\n",
            "U 215 | F 440320 | FPS 1262 | D 368 | rR:μσmM 100.36 0.16 100.13 100.59 | F:μσmM 23.5 1.8 21.0 26.0 | H 0.000 | V 69.556 | pL -10.258 | vL 180.493 | ∇ 2.895\n",
            "U 216 | F 442368 | FPS 1287 | D 370 | rR:μσmM 100.37 0.17 100.13 100.59 | F:μσmM 23.4 1.8 21.0 26.0 | H 0.000 | V 69.703 | pL -10.455 | vL 178.632 | ∇ 7.064\n",
            "U 217 | F 444416 | FPS 1065 | D 372 | rR:μσmM 100.35 0.17 100.13 100.59 | F:μσmM 23.6 1.9 21.0 26.0 | H 0.000 | V 70.034 | pL -10.425 | vL 177.611 | ∇ 2.021\n",
            "U 218 | F 446464 | FPS 0876 | D 374 | rR:μσmM 100.31 0.17 100.13 100.59 | F:μσmM 24.0 1.8 21.0 26.0 | H 0.000 | V 70.246 | pL -9.771 | vL 164.528 | ∇ 1.897\n",
            "U 219 | F 448512 | FPS 1277 | D 376 | rR:μσmM 100.33 0.17 100.13 100.59 | F:μσmM 23.9 1.9 21.0 26.0 | H 0.000 | V 70.567 | pL -9.940 | vL 162.951 | ∇ 2.752\n",
            "U 220 | F 450560 | FPS 1250 | D 378 | rR:μσmM 100.35 0.18 100.13 100.59 | F:μσmM 23.6 1.9 21.0 26.0 | H 0.000 | V 70.875 | pL -10.031 | vL 166.330 | ∇ 3.841\n",
            "Status saved\n",
            "U 221 | F 452608 | FPS 1307 | D 379 | rR:μσmM 100.33 0.18 100.13 100.59 | F:μσmM 23.9 2.0 21.0 26.0 | H 0.000 | V 71.055 | pL -9.446 | vL 155.763 | ∇ 9.420\n",
            "U 222 | F 454656 | FPS 1325 | D 381 | rR:μσmM 100.36 0.17 100.13 100.59 | F:μσmM 23.5 1.9 21.0 26.0 | H 0.002 | V 71.399 | pL -9.675 | vL 153.061 | ∇ 1.597\n",
            "U 223 | F 456704 | FPS 1248 | D 382 | rR:μσmM 100.34 0.18 100.13 100.59 | F:μσmM 23.8 1.9 21.0 26.0 | H 0.001 | V 71.573 | pL -9.336 | vL 149.238 | ∇ 7.383\n",
            "U 224 | F 458752 | FPS 1307 | D 384 | rR:μσmM 100.33 0.18 100.13 100.59 | F:μσmM 23.9 2.0 21.0 26.0 | H 0.001 | V 71.846 | pL -8.958 | vL 142.690 | ∇ 3.224\n",
            "U 225 | F 460800 | FPS 0808 | D 386 | rR:μσmM 100.33 0.17 100.13 100.59 | F:μσmM 23.9 1.9 21.0 26.0 | H 0.001 | V 72.060 | pL -8.849 | vL 138.308 | ∇ 47.966\n",
            "U 226 | F 462848 | FPS 1150 | D 388 | rR:μσmM 100.38 0.18 100.13 100.59 | F:μσmM 23.3 2.0 21.0 26.0 | H 0.001 | V 72.312 | pL -8.995 | vL 138.163 | ∇ 1.843\n",
            "U 227 | F 464896 | FPS 1263 | D 390 | rR:μσmM 100.31 0.17 100.13 100.59 | F:μσmM 24.1 1.8 21.0 26.0 | H 0.000 | V 72.449 | pL -8.760 | vL 133.069 | ∇ 2.408\n",
            "U 228 | F 466944 | FPS 1313 | D 391 | rR:μσmM 100.32 0.17 100.13 100.59 | F:μσmM 24.0 1.8 21.0 26.0 | H 0.001 | V 72.717 | pL -8.445 | vL 127.139 | ∇ 22.257\n",
            "U 229 | F 468992 | FPS 1334 | D 393 | rR:μσmM 100.35 0.17 100.13 100.59 | F:μσmM 23.6 1.9 21.0 26.0 | H 0.000 | V 72.969 | pL -8.456 | vL 128.511 | ∇ 3.287\n",
            "U 230 | F 471040 | FPS 1320 | D 395 | rR:μσmM 100.31 0.17 100.13 100.59 | F:μσmM 24.1 1.8 21.0 26.0 | H 0.000 | V 73.152 | pL -8.163 | vL 121.745 | ∇ 22.735\n",
            "Status saved\n",
            "U 231 | F 473088 | FPS 1312 | D 396 | rR:μσmM 100.32 0.18 99.95 100.59 | F:μσmM 23.9 2.0 21.0 28.0 | H 0.002 | V 73.437 | pL -8.360 | vL 122.140 | ∇ 1.828\n",
            "U 232 | F 475136 | FPS 1011 | D 398 | rR:μσmM 100.32 0.16 100.13 100.59 | F:μσmM 24.0 1.7 21.0 26.0 | H 0.001 | V 73.679 | pL -8.319 | vL 119.788 | ∇ 1.126\n",
            "U 233 | F 477184 | FPS 0968 | D 400 | rR:μσmM 100.35 0.18 100.13 100.59 | F:μσmM 23.6 2.0 21.0 26.0 | H 0.001 | V 73.963 | pL -7.990 | vL 119.480 | ∇ 4.632\n",
            "U 234 | F 479232 | FPS 1271 | D 402 | rR:μσmM 100.35 0.19 100.13 100.59 | F:μσmM 23.6 2.0 21.0 26.0 | H 0.001 | V 74.435 | pL -7.807 | vL 109.749 | ∇ 2.673\n",
            "U 235 | F 481280 | FPS 1295 | D 403 | rR:μσmM 100.35 0.18 100.13 100.59 | F:μσmM 23.6 2.0 21.0 26.0 | H 0.001 | V 74.911 | pL -7.691 | vL 105.517 | ∇ 1.729\n",
            "U 236 | F 483328 | FPS 1275 | D 405 | rR:μσmM 100.33 0.17 100.13 100.59 | F:μσmM 23.8 1.8 21.0 26.0 | H 0.001 | V 75.139 | pL -7.286 | vL 98.723 | ∇ 2.424\n",
            "U 237 | F 485376 | FPS 1240 | D 407 | rR:μσmM 100.34 0.18 100.13 100.59 | F:μσmM 23.7 2.0 21.0 26.0 | H 0.000 | V 75.368 | pL -7.481 | vL 98.315 | ∇ 0.810\n",
            "U 238 | F 487424 | FPS 1320 | D 408 | rR:μσmM 100.35 0.17 100.13 100.59 | F:μσmM 23.7 1.8 21.0 26.0 | H 0.001 | V 75.574 | pL -7.056 | vL 93.668 | ∇ 1.710\n",
            "U 239 | F 489472 | FPS 1203 | D 410 | rR:μσmM 100.35 0.17 100.13 100.59 | F:μσmM 23.7 1.8 21.0 26.0 | H 0.001 | V 75.760 | pL -6.902 | vL 92.223 | ∇ 7.362\n",
            "U 240 | F 491520 | FPS 0820 | D 412 | rR:μσmM 100.36 0.17 100.13 100.59 | F:μσmM 23.6 1.9 21.0 26.0 | H 0.001 | V 76.087 | pL -6.768 | vL 87.744 | ∇ 5.528\n",
            "Status saved\n",
            "U 241 | F 493568 | FPS 1349 | D 414 | rR:μσmM 100.35 0.19 100.13 100.59 | F:μσmM 23.6 2.0 21.0 26.0 | H 0.001 | V 76.246 | pL -6.643 | vL 87.784 | ∇ 7.633\n",
            "U 242 | F 495616 | FPS 1270 | D 416 | rR:μσmM 100.32 0.18 100.13 100.59 | F:μσmM 23.9 2.0 21.0 26.0 | H 0.001 | V 76.389 | pL -6.532 | vL 81.967 | ∇ 2.491\n",
            "U 243 | F 497664 | FPS 1263 | D 417 | rR:μσmM 100.32 0.17 100.13 100.59 | F:μσmM 24.0 1.8 21.0 26.0 | H 0.001 | V 76.634 | pL -6.340 | vL 79.408 | ∇ 1.474\n",
            "U 244 | F 499712 | FPS 1292 | D 419 | rR:μσmM 100.33 0.18 100.13 100.59 | F:μσmM 23.8 2.0 21.0 26.0 | H 0.001 | V 76.857 | pL -6.498 | vL 80.820 | ∇ 2.079\n",
            "U 245 | F 501760 | FPS 1279 | D 420 | rR:μσmM 100.34 0.18 100.13 100.59 | F:μσmM 23.8 2.0 21.0 26.0 | H 0.001 | V 77.173 | pL -5.781 | vL 72.588 | ∇ 2.673\n",
            "U 246 | F 503808 | FPS 1300 | D 422 | rR:μσmM 100.33 0.18 100.13 100.59 | F:μσmM 23.9 2.0 21.0 26.0 | H 0.001 | V 77.363 | pL -5.735 | vL 70.851 | ∇ 3.939\n",
            "U 247 | F 505856 | FPS 0948 | D 424 | rR:μσmM 100.33 0.18 100.13 100.59 | F:μσmM 23.8 2.0 21.0 26.0 | H 0.001 | V 77.615 | pL -5.603 | vL 67.885 | ∇ 3.539\n",
            "U 248 | F 507904 | FPS 0991 | D 426 | rR:μσmM 100.34 0.17 100.13 100.59 | F:μσmM 23.8 1.8 21.0 26.0 | H 0.001 | V 77.842 | pL -5.804 | vL 67.407 | ∇ 1.013\n",
            "U 249 | F 509952 | FPS 1282 | D 428 | rR:μσmM 100.36 0.18 100.13 100.59 | F:μσmM 23.6 1.9 21.0 26.0 | H 0.001 | V 77.983 | pL -5.483 | vL 65.811 | ∇ 4.445\n",
            "U 250 | F 512000 | FPS 1220 | D 430 | rR:μσmM 100.33 0.19 100.13 100.59 | F:μσmM 23.9 2.1 21.0 26.0 | H 0.001 | V 78.105 | pL -5.502 | vL 64.009 | ∇ 1.639\n",
            "Status saved\n",
            "U 251 | F 514048 | FPS 1331 | D 431 | rR:μσmM 100.33 0.17 100.13 100.59 | F:μσmM 23.8 1.9 21.0 26.0 | H 0.001 | V 78.414 | pL -5.423 | vL 62.170 | ∇ 2.522\n",
            "U 252 | F 516096 | FPS 1305 | D 433 | rR:μσmM 100.32 0.19 100.13 100.59 | F:μσmM 23.9 2.0 21.0 26.0 | H 0.001 | V 78.609 | pL -5.430 | vL 59.266 | ∇ 0.968\n",
            "U 253 | F 518144 | FPS 1363 | D 434 | rR:μσmM 100.35 0.18 100.13 100.59 | F:μσmM 23.7 2.0 21.0 26.0 | H 0.001 | V 78.805 | pL -5.260 | vL 57.980 | ∇ 2.132\n",
            "U 254 | F 520192 | FPS 1161 | D 436 | rR:μσmM 100.33 0.18 100.13 100.59 | F:μσmM 23.9 1.9 21.0 26.0 | H 0.001 | V 79.043 | pL -5.038 | vL 56.120 | ∇ 1.984\n",
            "U 255 | F 522240 | FPS 0826 | D 438 | rR:μσmM 100.34 0.18 100.13 100.59 | F:μσmM 23.7 1.9 21.0 26.0 | H 0.001 | V 79.230 | pL -5.174 | vL 55.158 | ∇ 1.425\n",
            "U 256 | F 524288 | FPS 1362 | D 440 | rR:μσmM 100.34 0.19 100.13 100.59 | F:μσmM 23.8 2.0 21.0 26.0 | H 0.001 | V 79.596 | pL -4.785 | vL 50.110 | ∇ 1.579\n",
            "U 257 | F 526336 | FPS 1300 | D 441 | rR:μσmM 100.34 0.18 100.13 100.59 | F:μσmM 23.7 1.9 21.0 26.0 | H 0.001 | V 80.007 | pL -4.632 | vL 48.323 | ∇ 1.796\n",
            "U 258 | F 528384 | FPS 1356 | D 443 | rR:μσmM 100.34 0.18 100.13 100.59 | F:μσmM 23.7 1.9 21.0 26.0 | H 0.001 | V 80.279 | pL -4.342 | vL 44.454 | ∇ 2.662\n",
            "U 259 | F 530432 | FPS 1356 | D 445 | rR:μσmM 100.37 0.18 100.13 100.59 | F:μσmM 23.4 1.9 21.0 26.0 | H 0.001 | V 80.561 | pL -4.600 | vL 46.652 | ∇ 2.084\n",
            "U 260 | F 532480 | FPS 1309 | D 446 | rR:μσmM 100.32 0.18 100.13 100.59 | F:μσmM 24.0 2.0 21.0 26.0 | H 0.001 | V 80.560 | pL -4.060 | vL 40.820 | ∇ 1.285\n",
            "Status saved\n",
            "U 261 | F 534528 | FPS 1225 | D 448 | rR:μσmM 100.34 0.17 100.13 100.59 | F:μσmM 23.8 1.8 21.0 26.0 | H 0.001 | V 80.681 | pL -4.139 | vL 40.163 | ∇ 1.118\n",
            "U 262 | F 536576 | FPS 1026 | D 450 | rR:μσmM 100.32 0.18 100.13 100.59 | F:μσmM 23.9 1.9 21.0 26.0 | H 0.001 | V 80.846 | pL -4.048 | vL 37.878 | ∇ 1.801\n",
            "U 263 | F 538624 | FPS 0915 | D 452 | rR:μσmM 100.36 0.19 100.13 100.59 | F:μσmM 23.5 2.1 21.0 26.0 | H 0.001 | V 81.046 | pL -3.826 | vL 35.947 | ∇ 5.649\n",
            "U 264 | F 540672 | FPS 1230 | D 454 | rR:μσmM 100.34 0.18 100.13 100.59 | F:μσmM 23.8 1.9 21.0 26.0 | H 0.001 | V 81.398 | pL -3.856 | vL 34.572 | ∇ 1.481\n",
            "U 265 | F 542720 | FPS 1290 | D 455 | rR:μσmM 100.32 0.17 100.13 100.59 | F:μσmM 23.9 1.9 21.0 26.0 | H 0.001 | V 81.582 | pL -3.732 | vL 32.996 | ∇ 1.358\n",
            "U 266 | F 544768 | FPS 1309 | D 457 | rR:μσmM 100.35 0.19 100.13 100.59 | F:μσmM 23.6 2.0 21.0 26.0 | H 0.001 | V 81.882 | pL -3.680 | vL 31.417 | ∇ 1.292\n",
            "U 267 | F 546816 | FPS 1284 | D 458 | rR:μσmM 100.32 0.17 100.13 100.59 | F:μσmM 23.9 1.8 21.0 26.0 | H 0.001 | V 82.015 | pL -3.379 | vL 28.569 | ∇ 1.454\n",
            "U 268 | F 548864 | FPS 1304 | D 460 | rR:μσmM 100.36 0.18 100.13 100.59 | F:μσmM 23.5 2.0 21.0 26.0 | H 0.001 | V 82.376 | pL -3.399 | vL 27.869 | ∇ 1.599\n",
            "U 269 | F 550912 | FPS 1168 | D 462 | rR:μσmM 100.34 0.19 100.13 100.59 | F:μσmM 23.8 2.0 21.0 26.0 | H 0.001 | V 82.780 | pL -3.139 | vL 25.994 | ∇ 2.477\n",
            "U 270 | F 552960 | FPS 0832 | D 464 | rR:μσmM 100.35 0.18 100.13 100.59 | F:μσmM 23.7 1.9 21.0 26.0 | H 0.001 | V 82.729 | pL -3.060 | vL 24.081 | ∇ 2.174\n",
            "Status saved\n",
            "U 271 | F 555008 | FPS 1254 | D 466 | rR:μσmM 100.34 0.17 100.13 100.59 | F:μσmM 23.8 1.9 21.0 26.0 | H 0.001 | V 83.435 | pL -2.958 | vL 23.501 | ∇ 2.100\n",
            "U 272 | F 557056 | FPS 1261 | D 467 | rR:μσmM 100.37 0.18 100.13 100.59 | F:μσmM 23.4 1.9 21.0 26.0 | H 0.001 | V 83.589 | pL -2.679 | vL 20.639 | ∇ 0.964\n",
            "U 273 | F 559104 | FPS 1242 | D 469 | rR:μσmM 100.37 0.17 100.04 100.59 | F:μσmM 23.4 1.8 21.0 27.0 | H 0.002 | V 83.759 | pL -2.471 | vL 19.043 | ∇ 1.508\n",
            "U 274 | F 561152 | FPS 1241 | D 471 | rR:μσmM 100.33 0.18 100.13 100.59 | F:μσmM 23.8 1.9 21.0 26.0 | H 0.003 | V 83.998 | pL -2.395 | vL 17.293 | ∇ 1.490\n",
            "U 275 | F 563200 | FPS 1334 | D 472 | rR:μσmM 100.33 0.17 100.13 100.59 | F:μσmM 23.8 1.9 21.0 26.0 | H 0.003 | V 84.169 | pL -2.442 | vL 16.129 | ∇ 1.138\n",
            "U 276 | F 565248 | FPS 1295 | D 474 | rR:μσmM 100.35 0.16 100.13 100.59 | F:μσmM 23.6 1.7 21.0 26.0 | H 0.011 | V 84.365 | pL -2.281 | vL 14.422 | ∇ 1.483\n",
            "U 277 | F 567296 | FPS 0905 | D 476 | rR:μσmM 100.34 0.16 100.13 100.59 | F:μσmM 23.7 1.8 21.0 26.0 | H 0.016 | V 84.365 | pL -2.080 | vL 14.147 | ∇ 1.626\n",
            "U 278 | F 569344 | FPS 0987 | D 478 | rR:μσmM 100.38 0.15 100.13 100.59 | F:μσmM 23.3 1.6 21.0 26.0 | H 0.009 | V 84.778 | pL -2.284 | vL 12.975 | ∇ 0.805\n",
            "U 279 | F 571392 | FPS 1246 | D 480 | rR:μσmM 100.40 0.14 100.13 100.59 | F:μσmM 23.1 1.5 21.0 26.0 | H 0.002 | V 85.130 | pL -2.069 | vL 11.805 | ∇ 0.826\n",
            "U 280 | F 573440 | FPS 1252 | D 482 | rR:μσmM 100.40 0.14 100.22 100.59 | F:μσmM 23.1 1.5 21.0 25.0 | H 0.005 | V 85.315 | pL -1.835 | vL 11.000 | ∇ 2.618\n",
            "Status saved\n",
            "U 281 | F 575488 | FPS 1295 | D 483 | rR:μσmM 100.37 0.14 100.22 100.59 | F:μσmM 23.4 1.5 21.0 25.0 | H 0.005 | V 85.376 | pL -1.965 | vL 9.679 | ∇ 0.355\n",
            "U 282 | F 577536 | FPS 1330 | D 485 | rR:μσmM 100.39 0.14 100.22 100.59 | F:μσmM 23.2 1.5 21.0 25.0 | H 0.002 | V 85.821 | pL -1.717 | vL 8.957 | ∇ 1.434\n",
            "U 283 | F 579584 | FPS 1305 | D 486 | rR:μσmM 100.43 0.15 100.22 100.59 | F:μσmM 22.7 1.6 21.0 25.0 | H 0.002 | V 85.912 | pL -1.648 | vL 8.511 | ∇ 2.885\n",
            "U 284 | F 581632 | FPS 1039 | D 488 | rR:μσmM 100.39 0.14 100.13 100.59 | F:μσmM 23.1 1.5 21.0 26.0 | H 0.002 | V 85.920 | pL -1.688 | vL 7.783 | ∇ 1.219\n",
            "U 285 | F 583680 | FPS 0906 | D 490 | rR:μσmM 100.40 0.14 100.22 100.59 | F:μσmM 23.1 1.5 21.0 25.0 | H 0.004 | V 86.182 | pL -1.476 | vL 6.805 | ∇ 0.704\n",
            "U 286 | F 585728 | FPS 1292 | D 492 | rR:μσmM 100.38 0.14 100.22 100.59 | F:μσmM 23.3 1.5 21.0 25.0 | H 0.003 | V 86.367 | pL -1.198 | vL 6.043 | ∇ 1.576\n",
            "U 287 | F 587776 | FPS 1274 | D 494 | rR:μσmM 100.42 0.15 100.22 100.59 | F:μσmM 22.9 1.6 21.0 25.0 | H 0.004 | V 86.778 | pL -1.001 | vL 5.128 | ∇ 1.604\n",
            "U 288 | F 589824 | FPS 1297 | D 495 | rR:μσmM 100.40 0.15 100.22 100.59 | F:μσmM 23.0 1.6 21.0 25.0 | H 0.004 | V 86.978 | pL -0.970 | vL 4.193 | ∇ 0.848\n",
            "U 289 | F 591872 | FPS 1279 | D 497 | rR:μσmM 100.41 0.15 100.22 100.59 | F:μσmM 22.9 1.6 21.0 25.0 | H 0.005 | V 87.143 | pL -1.009 | vL 3.639 | ∇ 0.703\n",
            "U 290 | F 593920 | FPS 1254 | D 499 | rR:μσmM 100.38 0.14 100.22 100.59 | F:μσmM 23.3 1.5 21.0 25.0 | H 0.022 | V 87.261 | pL -0.800 | vL 2.967 | ∇ 0.834\n",
            "Status saved\n",
            "U 291 | F 595968 | FPS 1309 | D 500 | rR:μσmM 100.36 0.19 100.04 100.59 | F:μσmM 23.5 2.1 21.0 27.0 | H 0.015 | V 87.490 | pL -0.287 | vL 2.881 | ∇ 1.203\n",
            "U 292 | F 598016 | FPS 0812 | D 503 | rR:μσmM 100.37 0.17 99.95 100.59 | F:μσmM 23.4 1.9 21.0 28.0 | H 0.021 | V 87.338 | pL -0.683 | vL 2.136 | ∇ 1.322\n",
            "U 293 | F 600064 | FPS 1203 | D 504 | rR:μσmM 100.37 0.13 100.13 100.77 | F:μσmM 23.4 1.4 19.0 26.0 | H 0.002 | V 87.606 | pL -0.668 | vL 1.625 | ∇ 0.945\n",
            "U 294 | F 602112 | FPS 1294 | D 506 | rR:μσmM 100.39 0.14 100.22 100.59 | F:μσmM 23.2 1.5 21.0 25.0 | H 0.002 | V 87.962 | pL -0.592 | vL 1.271 | ∇ 1.163\n",
            "U 295 | F 604160 | FPS 1261 | D 508 | rR:μσmM 100.42 0.14 100.22 100.59 | F:μσmM 22.9 1.5 21.0 25.0 | H 0.002 | V 87.983 | pL -0.557 | vL 0.959 | ∇ 0.714\n",
            "U 296 | F 606208 | FPS 1187 | D 509 | rR:μσmM 100.40 0.13 100.22 100.59 | F:μσmM 23.1 1.4 21.0 25.0 | H 0.002 | V 88.136 | pL -0.403 | vL 0.660 | ∇ 0.500\n",
            "U 297 | F 608256 | FPS 1257 | D 511 | rR:μσmM 100.40 0.14 100.22 100.59 | F:μσmM 23.1 1.5 21.0 25.0 | H 0.003 | V 88.334 | pL -0.333 | vL 0.486 | ∇ 0.301\n",
            "U 298 | F 610304 | FPS 1381 | D 512 | rR:μσmM 100.38 0.13 100.22 100.59 | F:μσmM 23.3 1.4 21.0 25.0 | H 0.024 | V 88.433 | pL -0.213 | vL 0.290 | ∇ 0.438\n",
            "U 299 | F 612352 | FPS 1006 | D 514 | rR:μσmM 100.29 0.23 99.68 100.59 | F:μσmM 24.3 2.5 21.0 31.0 | H 0.069 | V 88.580 | pL 0.444 | vL 0.789 | ∇ 0.813\n",
            "U 300 | F 614400 | FPS 0961 | D 517 | rR:μσmM 100.60 0.45 100.04 101.22 | F:μσmM 20.8 5.0 14.0 27.0 | H 0.021 | V 91.631 | pL 11.953 | vL 171.640 | ∇ 4.531\n",
            "Status saved\n",
            "Dense_Easy took 8.0 minutes and 39.69762182235718 seconds\n",
            "/usr/local/lib/python3.10/dist-packages/rl-starter-files/scripts/train.py --algo ppo --env MiniGrid-Sparse_Medium_2-v0 --frames 614400 --model Sparse_Medium_2 --recurrence 8\n",
            "\n",
            "Namespace(algo='ppo', env='MiniGrid-Sparse_Medium_2-v0', model='Sparse_Medium_2', seed=1, log_interval=1, save_interval=10, procs=16, frames=614400, epochs=4, batch_size=256, frames_per_proc=None, discount=0.99, lr=0.001, gae_lambda=0.95, entropy_coef=0.01, value_loss_coef=0.5, max_grad_norm=0.5, optim_eps=1e-08, optim_alpha=0.99, clip_eps=0.2, recurrence=8, text=False, mem=True)\n",
            "\n",
            "Device: cpu\n",
            "\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `reset()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "Environments loaded\n",
            "\n",
            "Training status loaded\n",
            "\n",
            "Observations preprocessor loaded\n",
            "Model loaded\n",
            "\n",
            "ACModel(\n",
            "  (image_conv): Sequential(\n",
            "    (0): Conv2d(3, 16, kernel_size=(2, 2), stride=(1, 1))\n",
            "    (1): ReLU()\n",
            "    (2): MaxPool2d(kernel_size=(2, 2), stride=(2, 2), padding=0, dilation=1, ceil_mode=False)\n",
            "    (3): Conv2d(16, 32, kernel_size=(2, 2), stride=(1, 1))\n",
            "    (4): ReLU()\n",
            "    (5): Conv2d(32, 64, kernel_size=(2, 2), stride=(1, 1))\n",
            "    (6): ReLU()\n",
            "  )\n",
            "  (memory_rnn): LSTMCell(64, 64)\n",
            "  (actor): Sequential(\n",
            "    (0): Linear(in_features=64, out_features=64, bias=True)\n",
            "    (1): Tanh()\n",
            "    (2): Linear(in_features=64, out_features=7, bias=True)\n",
            "  )\n",
            "  (critic): Sequential(\n",
            "    (0): Linear(in_features=64, out_features=64, bias=True)\n",
            "    (1): Tanh()\n",
            "    (2): Linear(in_features=64, out_features=1, bias=True)\n",
            "  )\n",
            ")\n",
            "\n",
            "Optimizer loaded\n",
            "\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "U 1 | F 002048 | FPS 1257 | D 1 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 0.0 0.0 0 0 | H 1.944 | V 0.062 | pL 0.011 | vL 0.000 | ∇ 0.016\n",
            "U 2 | F 004096 | FPS 1288 | D 3 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 0.0 0.0 0 0 | H 1.945 | V 0.062 | pL 0.011 | vL 0.000 | ∇ 0.004\n",
            "U 3 | F 006144 | FPS 1286 | D 4 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 0.0 0.0 0 0 | H 1.944 | V 0.057 | pL 0.010 | vL 0.000 | ∇ 0.003\n",
            "U 4 | F 008192 | FPS 1268 | D 6 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 0.0 0.0 0 0 | H 1.944 | V 0.049 | pL 0.008 | vL 0.000 | ∇ 0.002\n",
            "U 5 | F 010240 | FPS 0975 | D 8 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 0.0 0.0 0 0 | H 1.945 | V 0.041 | pL 0.007 | vL 0.000 | ∇ 0.002\n",
            "U 6 | F 012288 | FPS 0955 | D 10 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 0.0 0.0 0 0 | H 1.945 | V 0.033 | pL 0.006 | vL 0.000 | ∇ 0.002\n",
            "U 7 | F 014336 | FPS 1268 | D 12 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 0.0 0.0 0 0 | H 1.945 | V 0.027 | pL 0.005 | vL 0.000 | ∇ 0.001\n",
            "U 8 | F 016384 | FPS 1305 | D 13 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.945 | V 0.020 | pL 0.007 | vL 0.000 | ∇ 0.002\n",
            "U 9 | F 018432 | FPS 1378 | D 15 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.017 | pL 0.003 | vL 0.000 | ∇ 0.001\n",
            "U 10 | F 020480 | FPS 1312 | D 16 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.014 | pL 0.003 | vL 0.000 | ∇ 0.001\n",
            "Status saved\n",
            "U 11 | F 022528 | FPS 1336 | D 18 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.013 | pL 0.002 | vL 0.000 | ∇ 0.001\n",
            "U 12 | F 024576 | FPS 1209 | D 20 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.011 | pL 0.002 | vL 0.000 | ∇ 0.001\n",
            "U 13 | F 026624 | FPS 0824 | D 22 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.010 | pL 0.002 | vL 0.000 | ∇ 0.001\n",
            "U 14 | F 028672 | FPS 1227 | D 24 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.008 | pL 0.001 | vL 0.000 | ∇ 0.000\n",
            "U 15 | F 030720 | FPS 1332 | D 25 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.007 | pL 0.001 | vL 0.000 | ∇ 0.001\n",
            "U 16 | F 032768 | FPS 1308 | D 27 | rR:μσmM 0.87 3.36 0.00 13.87 | F:μσmM 997.3 10.4 957.0 1000.0 | H 1.911 | V 0.120 | pL -0.107 | vL 0.789 | ∇ 0.166\n",
            "U 17 | F 034816 | FPS 1289 | D 29 | rR:μσmM 0.87 3.36 0.00 13.87 | F:μσmM 997.3 10.4 957.0 1000.0 | H 1.918 | V 0.127 | pL 0.023 | vL 0.000 | ∇ 0.009\n",
            "U 18 | F 036864 | FPS 1359 | D 30 | rR:μσmM 0.87 3.36 0.00 13.87 | F:μσmM 997.3 10.4 957.0 1000.0 | H 1.943 | V 0.113 | pL 0.021 | vL 0.000 | ∇ 0.004\n",
            "U 19 | F 038912 | FPS 1254 | D 32 | rR:μσmM 0.87 3.36 0.00 13.87 | F:μσmM 997.3 10.4 957.0 1000.0 | H 1.943 | V 0.100 | pL 0.017 | vL 0.000 | ∇ 0.005\n",
            "U 20 | F 040960 | FPS 0988 | D 34 | rR:μσmM 0.87 3.36 0.00 13.87 | F:μσmM 997.3 10.4 957.0 1000.0 | H 1.945 | V 0.087 | pL 0.015 | vL 0.000 | ∇ 0.005\n",
            "Status saved\n",
            "U 21 | F 043008 | FPS 0951 | D 36 | rR:μσmM 0.87 3.36 0.00 13.87 | F:μσmM 997.3 10.4 957.0 1000.0 | H 1.945 | V 0.072 | pL 0.012 | vL 0.000 | ∇ 0.003\n",
            "U 22 | F 045056 | FPS 1357 | D 37 | rR:μσmM 0.87 3.36 0.00 13.87 | F:μσmM 997.3 10.4 957.0 1000.0 | H 1.945 | V 0.060 | pL 0.011 | vL 0.000 | ∇ 0.003\n",
            "U 23 | F 047104 | FPS 1321 | D 39 | rR:μσmM 0.87 3.36 0.00 13.87 | F:μσmM 997.3 10.4 957.0 1000.0 | H 1.945 | V 0.054 | pL 0.010 | vL 0.000 | ∇ 0.003\n",
            "U 24 | F 049152 | FPS 1335 | D 41 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.944 | V 0.039 | pL 0.013 | vL 0.000 | ∇ 0.004\n",
            "U 25 | F 051200 | FPS 1314 | D 42 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.945 | V 0.031 | pL 0.005 | vL 0.000 | ∇ 0.002\n",
            "U 26 | F 053248 | FPS 1250 | D 44 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.945 | V 0.024 | pL 0.004 | vL 0.000 | ∇ 0.001\n",
            "U 27 | F 055296 | FPS 1379 | D 45 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.021 | pL 0.004 | vL 0.000 | ∇ 0.002\n",
            "U 28 | F 057344 | FPS 0857 | D 48 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.016 | pL 0.003 | vL 0.000 | ∇ 0.001\n",
            "U 29 | F 059392 | FPS 1137 | D 49 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.013 | pL 0.002 | vL 0.000 | ∇ 0.001\n",
            "U 30 | F 061440 | FPS 1315 | D 51 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.011 | pL 0.002 | vL 0.000 | ∇ 0.000\n",
            "Status saved\n",
            "U 31 | F 063488 | FPS 1333 | D 53 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.009 | pL 0.002 | vL 0.000 | ∇ 0.001\n",
            "U 32 | F 065536 | FPS 1248 | D 54 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.007 | pL 0.002 | vL 0.000 | ∇ 0.001\n",
            "U 33 | F 067584 | FPS 1380 | D 56 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.005 | pL 0.001 | vL 0.000 | ∇ 0.000\n",
            "U 34 | F 069632 | FPS 1315 | D 57 | rR:μσmM 4.66 18.04 0.00 74.53 | F:μσmM 955.2 173.6 283.0 1000.0 | H 1.918 | V 0.143 | pL -0.851 | vL 36.824 | ∇ 0.927\n",
            "U 35 | F 071680 | FPS 1144 | D 59 | rR:μσmM 4.66 18.04 0.00 74.53 | F:μσmM 955.2 173.6 283.0 1000.0 | H 1.917 | V 0.097 | pL 0.020 | vL 0.001 | ∇ 0.025\n",
            "U 36 | F 073728 | FPS 0829 | D 61 | rR:μσmM 4.66 18.04 0.00 74.53 | F:μσmM 955.2 173.6 283.0 1000.0 | H 1.924 | V 0.090 | pL 0.017 | vL 0.000 | ∇ 0.008\n",
            "U 37 | F 075776 | FPS 1378 | D 63 | rR:μσmM 4.66 18.04 0.00 74.53 | F:μσmM 955.2 173.6 283.0 1000.0 | H 1.931 | V 0.075 | pL 0.013 | vL 0.000 | ∇ 0.004\n",
            "U 38 | F 077824 | FPS 1341 | D 64 | rR:μσmM 4.66 18.04 0.00 74.53 | F:μσmM 955.2 173.6 283.0 1000.0 | H 1.937 | V 0.068 | pL 0.012 | vL 0.000 | ∇ 0.002\n",
            "U 39 | F 079872 | FPS 1245 | D 66 | rR:μσmM 4.66 18.04 0.00 74.53 | F:μσmM 955.2 173.6 283.0 1000.0 | H 1.939 | V 0.062 | pL 0.011 | vL 0.000 | ∇ 0.004\n",
            "U 40 | F 081920 | FPS 1335 | D 68 | rR:μσmM 4.66 18.04 0.00 74.53 | F:μσmM 955.2 173.6 283.0 1000.0 | H 1.941 | V 0.052 | pL 0.011 | vL 0.000 | ∇ 0.003\n",
            "Status saved\n",
            "U 41 | F 083968 | FPS 1275 | D 69 | rR:μσmM 4.66 18.04 0.00 74.53 | F:μσmM 955.2 173.6 283.0 1000.0 | H 1.943 | V 0.044 | pL 0.007 | vL 0.000 | ∇ 0.003\n",
            "U 42 | F 086016 | FPS 1279 | D 71 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.944 | V 0.035 | pL 0.006 | vL 0.000 | ∇ 0.001\n",
            "U 43 | F 088064 | FPS 0946 | D 73 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.945 | V 0.029 | pL 0.005 | vL 0.000 | ∇ 0.001\n",
            "U 44 | F 090112 | FPS 0996 | D 75 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.945 | V 0.024 | pL 0.004 | vL 0.000 | ∇ 0.001\n",
            "U 45 | F 092160 | FPS 1282 | D 77 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.945 | V 0.020 | pL 0.003 | vL 0.000 | ∇ 0.001\n",
            "U 46 | F 094208 | FPS 1241 | D 78 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.945 | V 0.017 | pL 0.003 | vL 0.000 | ∇ 0.001\n",
            "U 47 | F 096256 | FPS 1325 | D 80 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.945 | V 0.013 | pL 0.005 | vL 0.000 | ∇ 0.002\n",
            "U 48 | F 098304 | FPS 1296 | D 82 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.945 | V 0.011 | pL 0.002 | vL 0.000 | ∇ 0.001\n",
            "U 49 | F 100352 | FPS 1282 | D 83 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.009 | pL 0.002 | vL 0.000 | ∇ 0.001\n",
            "U 50 | F 102400 | FPS 1093 | D 85 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.008 | pL 0.002 | vL 0.000 | ∇ 0.000\n",
            "Status saved\n",
            "U 51 | F 104448 | FPS 0868 | D 87 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.007 | pL 0.001 | vL 0.000 | ∇ 0.001\n",
            "U 52 | F 106496 | FPS 1257 | D 89 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.007 | pL 0.001 | vL 0.000 | ∇ 0.000\n",
            "U 53 | F 108544 | FPS 1301 | D 91 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.005 | pL 0.001 | vL 0.000 | ∇ 0.000\n",
            "U 54 | F 110592 | FPS 1320 | D 92 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.005 | pL 0.001 | vL 0.000 | ∇ 0.000\n",
            "U 55 | F 112640 | FPS 1344 | D 94 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.004 | pL 0.002 | vL 0.000 | ∇ 0.001\n",
            "U 56 | F 114688 | FPS 1283 | D 95 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.002 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 57 | F 116736 | FPS 1361 | D 97 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.002 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 58 | F 118784 | FPS 0913 | D 99 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.002 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 59 | F 120832 | FPS 1044 | D 101 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.001 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 60 | F 122880 | FPS 1296 | D 103 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.001 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "Status saved\n",
            "U 61 | F 124928 | FPS 1284 | D 104 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.001 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 62 | F 126976 | FPS 1261 | D 106 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.001 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 63 | F 129024 | FPS 1363 | D 107 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.001 | pL 0.001 | vL 0.000 | ∇ 0.001\n",
            "U 64 | F 131072 | FPS 1311 | D 109 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.001 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 65 | F 133120 | FPS 1144 | D 111 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.001 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 66 | F 135168 | FPS 0869 | D 113 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 67 | F 137216 | FPS 1288 | D 115 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 68 | F 139264 | FPS 1254 | D 116 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 69 | F 141312 | FPS 1232 | D 118 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 70 | F 143360 | FPS 1310 | D 119 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "Status saved\n",
            "U 71 | F 145408 | FPS 1302 | D 121 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.001\n",
            "U 72 | F 147456 | FPS 1307 | D 123 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 73 | F 149504 | FPS 0925 | D 125 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 74 | F 151552 | FPS 1028 | D 127 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.000 | pL -0.000 | vL 0.000 | ∇ 0.000\n",
            "U 75 | F 153600 | FPS 1292 | D 128 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.000 | pL -0.000 | vL 0.000 | ∇ 0.000\n",
            "U 76 | F 155648 | FPS 1336 | D 130 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 77 | F 157696 | FPS 1288 | D 132 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.000 | pL -0.000 | vL 0.000 | ∇ 0.000\n",
            "U 78 | F 159744 | FPS 1285 | D 133 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.000 | pL -0.000 | vL 0.000 | ∇ 0.000\n",
            "U 79 | F 161792 | FPS 1290 | D 135 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 80 | F 163840 | FPS 1243 | D 136 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.000 | pL -0.000 | vL 0.000 | ∇ 0.000\n",
            "Status saved\n",
            "U 81 | F 165888 | FPS 0846 | D 139 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.000 | pL -0.000 | vL 0.000 | ∇ 0.000\n",
            "U 82 | F 167936 | FPS 1255 | D 140 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.000 | pL -0.000 | vL 0.000 | ∇ 0.000\n",
            "U 83 | F 169984 | FPS 1360 | D 142 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.000 | pL -0.000 | vL 0.000 | ∇ 0.000\n",
            "U 84 | F 172032 | FPS 1248 | D 144 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.000 | pL -0.000 | vL 0.000 | ∇ 0.000\n",
            "U 85 | F 174080 | FPS 1260 | D 145 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.000 | pL -0.000 | vL 0.000 | ∇ 0.000\n",
            "U 86 | F 176128 | FPS 1303 | D 147 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 87 | F 178176 | FPS 1394 | D 148 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.000 | pL -0.000 | vL 0.000 | ∇ 0.000\n",
            "U 88 | F 180224 | FPS 1018 | D 150 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.000 | pL -0.000 | vL 0.000 | ∇ 0.000\n",
            "U 89 | F 182272 | FPS 0950 | D 152 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 90 | F 184320 | FPS 1290 | D 154 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.000 | pL -0.000 | vL 0.000 | ∇ 0.000\n",
            "Status saved\n",
            "U 91 | F 186368 | FPS 1337 | D 156 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 92 | F 188416 | FPS 1263 | D 157 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 93 | F 190464 | FPS 1348 | D 159 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 94 | F 192512 | FPS 1320 | D 160 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.001\n",
            "U 95 | F 194560 | FPS 1248 | D 162 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.000 | pL -0.000 | vL 0.000 | ∇ 0.000\n",
            "U 96 | F 196608 | FPS 0856 | D 164 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 97 | F 198656 | FPS 1237 | D 166 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.000 | pL -0.000 | vL 0.000 | ∇ 0.000\n",
            "U 98 | F 200704 | FPS 1289 | D 168 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL -0.000 | vL 0.000 | ∇ 0.000\n",
            "U 99 | F 202752 | FPS 1305 | D 169 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 100 | F 204800 | FPS 1262 | D 171 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL -0.000 | vL 0.000 | ∇ 0.000\n",
            "Status saved\n",
            "U 101 | F 206848 | FPS 1322 | D 172 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 102 | F 208896 | FPS 1257 | D 174 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 103 | F 210944 | FPS 0976 | D 176 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 104 | F 212992 | FPS 0979 | D 178 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 105 | F 215040 | FPS 1236 | D 180 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 106 | F 217088 | FPS 1240 | D 181 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 107 | F 219136 | FPS 1312 | D 183 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 108 | F 221184 | FPS 1233 | D 185 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 109 | F 223232 | FPS 1331 | D 186 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 110 | F 225280 | FPS 1193 | D 188 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "Status saved\n",
            "U 111 | F 227328 | FPS 0852 | D 190 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 112 | F 229376 | FPS 1307 | D 192 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 113 | F 231424 | FPS 1328 | D 193 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 114 | F 233472 | FPS 1218 | D 195 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 115 | F 235520 | FPS 1301 | D 197 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 116 | F 237568 | FPS 1243 | D 198 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 117 | F 239616 | FPS 1269 | D 200 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 118 | F 241664 | FPS 0895 | D 202 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 119 | F 243712 | FPS 1057 | D 204 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 120 | F 245760 | FPS 1348 | D 206 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "Status saved\n",
            "U 121 | F 247808 | FPS 1312 | D 207 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 122 | F 249856 | FPS 1291 | D 209 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 123 | F 251904 | FPS 1331 | D 210 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.001 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 124 | F 253952 | FPS 1208 | D 212 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 125 | F 256000 | FPS 1172 | D 214 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 126 | F 258048 | FPS 0831 | D 216 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 127 | F 260096 | FPS 1293 | D 218 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 128 | F 262144 | FPS 1304 | D 220 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 129 | F 264192 | FPS 1306 | D 221 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 130 | F 266240 | FPS 1313 | D 223 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "Status saved\n",
            "U 131 | F 268288 | FPS 1313 | D 224 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 132 | F 270336 | FPS 1309 | D 226 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.000 | pL -0.000 | vL 0.000 | ∇ 0.000\n",
            "U 133 | F 272384 | FPS 0950 | D 228 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 134 | F 274432 | FPS 1040 | D 230 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.000 | pL -0.000 | vL 0.000 | ∇ 0.000\n",
            "U 135 | F 276480 | FPS 1332 | D 231 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.000 | pL -0.000 | vL 0.000 | ∇ 0.000\n",
            "U 136 | F 278528 | FPS 1343 | D 233 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.000 | pL -0.000 | vL 0.000 | ∇ 0.000\n",
            "U 137 | F 280576 | FPS 1283 | D 235 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.000 | pL -0.000 | vL 0.000 | ∇ 0.000\n",
            "U 138 | F 282624 | FPS 1376 | D 236 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.000 | pL -0.000 | vL 0.000 | ∇ 0.000\n",
            "U 139 | F 284672 | FPS 1284 | D 238 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.000 | pL -0.000 | vL 0.000 | ∇ 0.000\n",
            "U 140 | F 286720 | FPS 1258 | D 239 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.000 | pL -0.000 | vL 0.000 | ∇ 0.000\n",
            "Status saved\n",
            "U 141 | F 288768 | FPS 0898 | D 242 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.000 | pL -0.000 | vL 0.000 | ∇ 0.000\n",
            "U 142 | F 290816 | FPS 1167 | D 243 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.000 | pL -0.000 | vL 0.000 | ∇ 0.000\n",
            "U 143 | F 292864 | FPS 1279 | D 245 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.000 | pL -0.000 | vL 0.000 | ∇ 0.000\n",
            "U 144 | F 294912 | FPS 1326 | D 247 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 145 | F 296960 | FPS 1283 | D 248 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 146 | F 299008 | FPS 1260 | D 250 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 147 | F 301056 | FPS 1281 | D 251 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 148 | F 303104 | FPS 1015 | D 253 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.000 | pL -0.000 | vL 0.000 | ∇ 0.000\n",
            "U 149 | F 305152 | FPS 0940 | D 256 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 150 | F 307200 | FPS 1202 | D 257 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "Status saved\n",
            "U 151 | F 309248 | FPS 1223 | D 259 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 152 | F 311296 | FPS 1314 | D 261 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 153 | F 313344 | FPS 1291 | D 262 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 154 | F 315392 | FPS 1310 | D 264 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 155 | F 317440 | FPS 1259 | D 265 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 156 | F 319488 | FPS 0822 | D 268 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 157 | F 321536 | FPS 1319 | D 269 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 158 | F 323584 | FPS 1240 | D 271 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL -0.000 | vL 0.000 | ∇ 0.000\n",
            "U 159 | F 325632 | FPS 1313 | D 273 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.000 | pL -0.000 | vL 0.000 | ∇ 0.000\n",
            "U 160 | F 327680 | FPS 1335 | D 274 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "Status saved\n",
            "U 161 | F 329728 | FPS 1308 | D 276 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 162 | F 331776 | FPS 1320 | D 277 | rR:μσmM 2.47 9.57 0.00 39.52 | F:μσmM 979.5 79.4 672.0 1000.0 | H 1.918 | V 0.185 | pL -0.335 | vL 6.521 | ∇ 0.363\n",
            "U 163 | F 333824 | FPS 1044 | D 279 | rR:μσmM 2.47 9.57 0.00 39.52 | F:μσmM 979.5 79.4 672.0 1000.0 | H 1.926 | V 0.150 | pL 0.025 | vL 0.000 | ∇ 0.016\n",
            "U 164 | F 335872 | FPS 0970 | D 281 | rR:μσmM 2.47 9.57 0.00 39.52 | F:μσmM 979.5 79.4 672.0 1000.0 | H 1.930 | V 0.120 | pL 0.023 | vL 0.000 | ∇ 0.005\n",
            "U 165 | F 337920 | FPS 1378 | D 283 | rR:μσmM 2.47 9.57 0.00 39.52 | F:μσmM 979.5 79.4 672.0 1000.0 | H 1.940 | V 0.096 | pL 0.021 | vL 0.000 | ∇ 0.008\n",
            "U 166 | F 339968 | FPS 1341 | D 284 | rR:μσmM 2.47 9.57 0.00 39.52 | F:μσmM 979.5 79.4 672.0 1000.0 | H 1.942 | V 0.083 | pL 0.015 | vL 0.000 | ∇ 0.003\n",
            "U 167 | F 342016 | FPS 1237 | D 286 | rR:μσmM 2.47 9.57 0.00 39.52 | F:μσmM 979.5 79.4 672.0 1000.0 | H 1.943 | V 0.075 | pL 0.014 | vL 0.000 | ∇ 0.004\n",
            "U 168 | F 344064 | FPS 1303 | D 288 | rR:μσmM 2.47 9.57 0.00 39.52 | F:μσmM 979.5 79.4 672.0 1000.0 | H 1.944 | V 0.067 | pL 0.011 | vL 0.000 | ∇ 0.003\n",
            "U 169 | F 346112 | FPS 1248 | D 289 | rR:μσmM 2.47 9.57 0.00 39.52 | F:μσmM 979.5 79.4 672.0 1000.0 | H 1.945 | V 0.057 | pL 0.010 | vL 0.000 | ∇ 0.003\n",
            "U 170 | F 348160 | FPS 1183 | D 291 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.945 | V 0.049 | pL 0.009 | vL 0.000 | ∇ 0.003\n",
            "Status saved\n",
            "U 171 | F 350208 | FPS 0874 | D 293 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.945 | V 0.042 | pL 0.007 | vL 0.000 | ∇ 0.002\n",
            "U 172 | F 352256 | FPS 1148 | D 295 | rR:μσmM 4.35 16.84 0.00 69.58 | F:μσmM 958.6 160.2 338.0 1000.0 | H 1.904 | V 0.241 | pL -0.612 | vL 20.265 | ∇ 0.435\n",
            "U 173 | F 354304 | FPS 1298 | D 297 | rR:μσmM 4.35 16.84 0.00 69.58 | F:μσmM 958.6 160.2 338.0 1000.0 | H 1.908 | V 0.203 | pL 0.036 | vL 0.000 | ∇ 0.007\n",
            "U 174 | F 356352 | FPS 1284 | D 298 | rR:μσmM 4.35 16.84 0.00 69.58 | F:μσmM 958.6 160.2 338.0 1000.0 | H 1.936 | V 0.165 | pL 0.030 | vL 0.000 | ∇ 0.007\n",
            "U 175 | F 358400 | FPS 1367 | D 300 | rR:μσmM 4.35 16.84 0.00 69.58 | F:μσmM 958.6 160.2 338.0 1000.0 | H 1.943 | V 0.135 | pL 0.025 | vL 0.000 | ∇ 0.005\n",
            "U 176 | F 360448 | FPS 1317 | D 301 | rR:μσmM 4.35 16.84 0.00 69.58 | F:μσmM 958.6 160.2 338.0 1000.0 | H 1.942 | V 0.116 | pL 0.021 | vL 0.000 | ∇ 0.004\n",
            "U 177 | F 362496 | FPS 1294 | D 303 | rR:μσmM 4.35 16.84 0.00 69.58 | F:μσmM 958.6 160.2 338.0 1000.0 | H 1.944 | V 0.100 | pL 0.018 | vL 0.000 | ∇ 0.004\n",
            "U 178 | F 364544 | FPS 1040 | D 305 | rR:μσmM 4.35 16.84 0.00 69.58 | F:μσmM 958.6 160.2 338.0 1000.0 | H 1.944 | V 0.087 | pL 0.016 | vL 0.000 | ∇ 0.004\n",
            "U 179 | F 366592 | FPS 0918 | D 307 | rR:μσmM 4.35 16.84 0.00 69.58 | F:μσmM 958.6 160.2 338.0 1000.0 | H 1.943 | V 0.078 | pL 0.014 | vL 0.000 | ∇ 0.003\n",
            "U 180 | F 368640 | FPS 1266 | D 309 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.942 | V 0.060 | pL 0.021 | vL 0.000 | ∇ 0.005\n",
            "Status saved\n",
            "U 181 | F 370688 | FPS 1259 | D 310 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.942 | V 0.050 | pL 0.009 | vL 0.000 | ∇ 0.002\n",
            "U 182 | F 372736 | FPS 1253 | D 312 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.945 | V 0.042 | pL 0.008 | vL 0.000 | ∇ 0.001\n",
            "U 183 | F 374784 | FPS 1294 | D 314 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.945 | V 0.036 | pL 0.006 | vL 0.000 | ∇ 0.001\n",
            "U 184 | F 376832 | FPS 1330 | D 315 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.945 | V 0.029 | pL 0.005 | vL 0.000 | ∇ 0.002\n",
            "U 185 | F 378880 | FPS 1124 | D 317 | rR:μσmM 3.09 11.96 0.00 49.42 | F:μσmM 972.6 106.0 562.0 1000.0 | H 1.920 | V 0.104 | pL -0.133 | vL 5.367 | ∇ 0.235\n",
            "U 186 | F 380928 | FPS 0825 | D 319 | rR:μσmM 4.82 13.32 0.00 49.42 | F:μσmM 960.3 113.3 562.0 1000.0 | H 1.905 | V 0.290 | pL -0.220 | vL 3.177 | ∇ 0.352\n",
            "U 187 | F 382976 | FPS 1272 | D 321 | rR:μσmM 4.82 13.32 0.00 49.42 | F:μσmM 960.3 113.3 562.0 1000.0 | H 1.911 | V 0.199 | pL 0.035 | vL 0.000 | ∇ 0.012\n",
            "U 188 | F 385024 | FPS 1320 | D 323 | rR:μσmM 5.58 13.37 0.00 49.42 | F:μσmM 958.8 112.9 562.0 1000.0 | H 1.915 | V 0.238 | pL -0.050 | vL 0.592 | ∇ 0.141\n",
            "U 189 | F 387072 | FPS 1247 | D 324 | rR:μσmM 5.58 13.37 0.00 49.42 | F:μσmM 958.8 112.9 562.0 1000.0 | H 1.915 | V 0.206 | pL 0.035 | vL 0.001 | ∇ 0.021\n",
            "U 190 | F 389120 | FPS 1303 | D 326 | rR:μσmM 5.58 13.37 0.00 49.42 | F:μσmM 958.8 112.9 562.0 1000.0 | H 1.924 | V 0.168 | pL 0.033 | vL 0.000 | ∇ 0.006\n",
            "Status saved\n",
            "U 191 | F 391168 | FPS 1238 | D 328 | rR:μσmM 5.58 13.37 0.00 49.42 | F:μσmM 958.8 112.9 562.0 1000.0 | H 1.929 | V 0.148 | pL 0.025 | vL 0.000 | ∇ 0.004\n",
            "U 192 | F 393216 | FPS 1227 | D 329 | rR:μσmM 2.49 7.15 0.00 27.73 | F:μσmM 986.2 47.7 803.0 1000.0 | H 1.935 | V 0.133 | pL 0.025 | vL 0.000 | ∇ 0.005\n",
            "U 193 | F 395264 | FPS 0919 | D 331 | rR:μσmM 2.49 7.15 0.00 27.73 | F:μσmM 986.2 47.7 803.0 1000.0 | H 1.938 | V 0.117 | pL 0.020 | vL 0.000 | ∇ 0.007\n",
            "U 194 | F 397312 | FPS 1046 | D 333 | rR:μσmM 0.76 2.94 0.00 12.16 | F:μσmM 998.5 5.8 976.0 1000.0 | H 1.939 | V 0.097 | pL 0.018 | vL 0.000 | ∇ 0.005\n",
            "U 195 | F 399360 | FPS 1332 | D 335 | rR:μσmM 0.76 2.94 0.00 12.16 | F:μσmM 998.5 5.8 976.0 1000.0 | H 1.940 | V 0.076 | pL 0.014 | vL 0.000 | ∇ 0.004\n",
            "U 196 | F 401408 | FPS 1297 | D 337 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.941 | V 0.056 | pL 0.017 | vL 0.000 | ∇ 0.004\n",
            "U 197 | F 403456 | FPS 1268 | D 338 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.942 | V 0.048 | pL 0.009 | vL 0.000 | ∇ 0.002\n",
            "U 198 | F 405504 | FPS 1290 | D 340 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.943 | V 0.041 | pL 0.008 | vL 0.000 | ∇ 0.002\n",
            "U 199 | F 407552 | FPS 1301 | D 341 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.944 | V 0.036 | pL 0.006 | vL 0.000 | ∇ 0.002\n",
            "U 200 | F 409600 | FPS 1126 | D 343 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.945 | V 0.033 | pL 0.006 | vL 0.000 | ∇ 0.002\n",
            "Status saved\n",
            "U 201 | F 411648 | FPS 0873 | D 345 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.945 | V 0.028 | pL 0.005 | vL 0.000 | ∇ 0.001\n",
            "U 202 | F 413696 | FPS 1341 | D 347 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.945 | V 0.022 | pL 0.004 | vL 0.000 | ∇ 0.001\n",
            "U 203 | F 415744 | FPS 1283 | D 349 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.945 | V 0.019 | pL 0.003 | vL 0.000 | ∇ 0.001\n",
            "U 204 | F 417792 | FPS 1302 | D 350 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.945 | V 0.014 | pL 0.004 | vL 0.000 | ∇ 0.001\n",
            "U 205 | F 419840 | FPS 1321 | D 352 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.011 | pL 0.002 | vL 0.000 | ∇ 0.001\n",
            "U 206 | F 421888 | FPS 1319 | D 353 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.009 | pL 0.002 | vL 0.000 | ∇ 0.001\n",
            "U 207 | F 423936 | FPS 1242 | D 355 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.008 | pL 0.001 | vL 0.000 | ∇ 0.001\n",
            "U 208 | F 425984 | FPS 0958 | D 357 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.006 | pL 0.001 | vL 0.000 | ∇ 0.001\n",
            "U 209 | F 428032 | FPS 0987 | D 359 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.006 | pL 0.001 | vL 0.000 | ∇ 0.001\n",
            "U 210 | F 430080 | FPS 1268 | D 361 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.005 | pL 0.001 | vL 0.000 | ∇ 0.001\n",
            "Status saved\n",
            "U 211 | F 432128 | FPS 1329 | D 362 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.004 | pL 0.001 | vL 0.000 | ∇ 0.001\n",
            "U 212 | F 434176 | FPS 1258 | D 364 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.002 | pL 0.001 | vL 0.000 | ∇ 0.000\n",
            "U 213 | F 436224 | FPS 1303 | D 366 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.003 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 214 | F 438272 | FPS 1259 | D 367 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.003 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 215 | F 440320 | FPS 1208 | D 369 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.002 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 216 | F 442368 | FPS 0838 | D 371 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.002 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 217 | F 444416 | FPS 1346 | D 373 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.002 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 218 | F 446464 | FPS 1295 | D 374 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.002 | pL 0.000 | vL 0.000 | ∇ 0.001\n",
            "U 219 | F 448512 | FPS 1271 | D 376 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.002 | pL 0.001 | vL 0.000 | ∇ 0.001\n",
            "U 220 | F 450560 | FPS 1223 | D 378 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "Status saved\n",
            "U 221 | F 452608 | FPS 1245 | D 379 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.001 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 222 | F 454656 | FPS 1316 | D 381 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.001\n",
            "U 223 | F 456704 | FPS 0870 | D 383 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 224 | F 458752 | FPS 1133 | D 385 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.001 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 225 | F 460800 | FPS 1310 | D 387 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 226 | F 462848 | FPS 1361 | D 388 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.001 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 227 | F 464896 | FPS 1316 | D 390 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 228 | F 466944 | FPS 1306 | D 391 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.000 | pL -0.000 | vL 0.000 | ∇ 0.000\n",
            "U 229 | F 468992 | FPS 1235 | D 393 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.000 | pL -0.000 | vL 0.000 | ∇ 0.000\n",
            "U 230 | F 471040 | FPS 1118 | D 395 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.000 | pL -0.000 | vL 0.000 | ∇ 0.000\n",
            "Status saved\n",
            "U 231 | F 473088 | FPS 0870 | D 397 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.000 | pL -0.000 | vL 0.000 | ∇ 0.001\n",
            "U 232 | F 475136 | FPS 1317 | D 399 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.001 | pL -0.000 | vL 0.000 | ∇ 0.000\n",
            "U 233 | F 477184 | FPS 1392 | D 400 | rR:μσmM 1.48 5.73 0.00 23.68 | F:μσmM 990.5 36.8 848.0 1000.0 | H 1.930 | V 0.140 | pL -0.199 | vL 2.325 | ∇ 0.220\n",
            "U 234 | F 479232 | FPS 1260 | D 402 | rR:μσmM 1.48 5.73 0.00 23.68 | F:μσmM 990.5 36.8 848.0 1000.0 | H 1.928 | V 0.096 | pL 0.015 | vL 0.000 | ∇ 0.012\n",
            "U 235 | F 481280 | FPS 1277 | D 403 | rR:μσmM 1.48 5.73 0.00 23.68 | F:μσmM 990.5 36.8 848.0 1000.0 | H 1.931 | V 0.067 | pL 0.021 | vL 0.000 | ∇ 0.005\n",
            "U 236 | F 483328 | FPS 1290 | D 405 | rR:μσmM 1.48 5.73 0.00 23.68 | F:μσmM 990.5 36.8 848.0 1000.0 | H 1.934 | V 0.058 | pL 0.011 | vL 0.000 | ∇ 0.003\n",
            "U 237 | F 485376 | FPS 1247 | D 407 | rR:μσmM 1.48 5.73 0.00 23.68 | F:μσmM 990.5 36.8 848.0 1000.0 | H 1.936 | V 0.052 | pL 0.010 | vL 0.000 | ∇ 0.002\n",
            "U 238 | F 487424 | FPS 0866 | D 409 | rR:μσmM 1.48 5.73 0.00 23.68 | F:μσmM 990.5 36.8 848.0 1000.0 | H 1.938 | V 0.046 | pL 0.008 | vL 0.000 | ∇ 0.002\n",
            "U 239 | F 489472 | FPS 1171 | D 411 | rR:μσmM 1.48 5.73 0.00 23.68 | F:μσmM 990.5 36.8 848.0 1000.0 | H 1.939 | V 0.040 | pL 0.007 | vL 0.000 | ∇ 0.002\n",
            "U 240 | F 491520 | FPS 1272 | D 412 | rR:μσmM 1.48 5.73 0.00 23.68 | F:μσmM 990.5 36.8 848.0 1000.0 | H 1.940 | V 0.036 | pL 0.006 | vL 0.000 | ∇ 0.002\n",
            "Status saved\n",
            "U 241 | F 493568 | FPS 1268 | D 414 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.941 | V 0.033 | pL 0.006 | vL 0.000 | ∇ 0.002\n",
            "U 242 | F 495616 | FPS 1298 | D 416 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.942 | V 0.029 | pL 0.005 | vL 0.000 | ∇ 0.002\n",
            "U 243 | F 497664 | FPS 1390 | D 417 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.943 | V 0.023 | pL 0.005 | vL 0.000 | ∇ 0.002\n",
            "U 244 | F 499712 | FPS 1271 | D 419 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.943 | V 0.020 | pL 0.003 | vL 0.000 | ∇ 0.001\n",
            "U 245 | F 501760 | FPS 1134 | D 420 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.944 | V 0.017 | pL 0.003 | vL 0.000 | ∇ 0.001\n",
            "U 246 | F 503808 | FPS 0889 | D 423 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.944 | V 0.014 | pL 0.002 | vL 0.000 | ∇ 0.001\n",
            "U 247 | F 505856 | FPS 1363 | D 424 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.945 | V 0.012 | pL 0.002 | vL 0.000 | ∇ 0.001\n",
            "U 248 | F 507904 | FPS 1311 | D 426 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.945 | V 0.010 | pL 0.002 | vL 0.000 | ∇ 0.000\n",
            "U 249 | F 509952 | FPS 1279 | D 427 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.945 | V 0.008 | pL 0.002 | vL 0.000 | ∇ 0.001\n",
            "U 250 | F 512000 | FPS 1305 | D 429 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.945 | V 0.006 | pL 0.002 | vL 0.000 | ∇ 0.001\n",
            "Status saved\n",
            "U 251 | F 514048 | FPS 1198 | D 431 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.945 | V 0.004 | pL 0.001 | vL 0.000 | ∇ 0.000\n",
            "U 252 | F 516096 | FPS 1304 | D 432 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.945 | V 0.003 | pL 0.001 | vL 0.000 | ∇ 0.000\n",
            "U 253 | F 518144 | FPS 0887 | D 435 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.002 | pL 0.001 | vL 0.000 | ∇ 0.000\n",
            "U 254 | F 520192 | FPS 1039 | D 437 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.002 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 255 | F 522240 | FPS 1222 | D 438 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.002 | pL 0.001 | vL 0.000 | ∇ 0.000\n",
            "U 256 | F 524288 | FPS 1261 | D 440 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.002 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 257 | F 526336 | FPS 1346 | D 441 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.002 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 258 | F 528384 | FPS 1290 | D 443 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.001 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 259 | F 530432 | FPS 1343 | D 445 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.001 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 260 | F 532480 | FPS 1077 | D 446 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.001 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "Status saved\n",
            "U 261 | F 534528 | FPS 0902 | D 449 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.001 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 262 | F 536576 | FPS 1325 | D 450 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.001 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 263 | F 538624 | FPS 1248 | D 452 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.001 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 264 | F 540672 | FPS 1319 | D 454 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.001 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 265 | F 542720 | FPS 1280 | D 455 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.001 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 266 | F 544768 | FPS 1224 | D 457 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 267 | F 546816 | FPS 1302 | D 458 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL -0.000 | vL 0.000 | ∇ 0.000\n",
            "U 268 | F 548864 | FPS 0837 | D 461 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 269 | F 550912 | FPS 1174 | D 463 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 270 | F 552960 | FPS 1323 | D 464 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "Status saved\n",
            "U 271 | F 555008 | FPS 1323 | D 466 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 272 | F 557056 | FPS 1311 | D 467 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.001 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 273 | F 559104 | FPS 1311 | D 469 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL -0.000 | vL 0.000 | ∇ 0.000\n",
            "U 274 | F 561152 | FPS 1331 | D 470 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 275 | F 563200 | FPS 1226 | D 472 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.000 | pL -0.000 | vL 0.000 | ∇ 0.000\n",
            "U 276 | F 565248 | FPS 0857 | D 474 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.000 | pL -0.000 | vL 0.000 | ∇ 0.000\n",
            "U 277 | F 567296 | FPS 1314 | D 476 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.000 | pL 0.000 | vL 0.000 | ∇ 0.000\n",
            "U 278 | F 569344 | FPS 1316 | D 478 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V 0.000 | pL -0.000 | vL 0.000 | ∇ 0.000\n",
            "U 279 | F 571392 | FPS 1387 | D 479 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 1000.0 0.0 1000.0 1000.0 | H 1.946 | V -0.000 | pL -0.000 | vL 0.000 | ∇ 0.000\n",
            "U 280 | F 573440 | FPS 1297 | D 481 | rR:μσmM 1.82 7.06 0.00 29.17 | F:μσmM 986.7 51.6 787.0 1000.0 | H 1.933 | V 0.186 | pL -0.249 | vL 3.546 | ∇ 0.293\n",
            "Status saved\n",
            "U 281 | F 575488 | FPS 1333 | D 482 | rR:μσmM 1.82 7.06 0.00 29.17 | F:μσmM 986.7 51.6 787.0 1000.0 | H 1.924 | V 0.161 | pL 0.027 | vL 0.000 | ∇ 0.012\n",
            "U 282 | F 577536 | FPS 1355 | D 484 | rR:μσmM 1.82 7.06 0.00 29.17 | F:μσmM 986.7 51.6 787.0 1000.0 | H 1.928 | V 0.124 | pL 0.033 | vL 0.001 | ∇ 0.007\n",
            "U 283 | F 579584 | FPS 0983 | D 486 | rR:μσmM 1.82 7.06 0.00 29.17 | F:μσmM 986.7 51.6 787.0 1000.0 | H 1.931 | V 0.108 | pL 0.019 | vL 0.000 | ∇ 0.003\n",
            "U 284 | F 581632 | FPS 0985 | D 488 | rR:μσmM 1.82 7.06 0.00 29.17 | F:μσmM 986.7 51.6 787.0 1000.0 | H 1.934 | V 0.095 | pL 0.018 | vL 0.000 | ∇ 0.003\n",
            "U 285 | F 583680 | FPS 1333 | D 489 | rR:μσmM 1.82 7.06 0.00 29.17 | F:μσmM 986.7 51.6 787.0 1000.0 | H 1.936 | V 0.085 | pL 0.015 | vL 0.000 | ∇ 0.004\n",
            "U 286 | F 585728 | FPS 1322 | D 491 | rR:μσmM 1.82 7.06 0.00 29.17 | F:μσmM 986.7 51.6 787.0 1000.0 | H 1.938 | V 0.074 | pL 0.013 | vL 0.000 | ∇ 0.004\n",
            "U 287 | F 587776 | FPS 1286 | D 493 | rR:μσmM 2.49 9.65 0.00 39.88 | F:μσmM 979.2 80.4 668.0 1000.0 | H 1.899 | V 0.192 | pL -0.339 | vL 6.598 | ∇ 0.366\n",
            "U 288 | F 589824 | FPS 1287 | D 494 | rR:μσmM 4.16 11.26 0.00 39.88 | F:μσmM 967.6 89.5 668.0 1000.0 | H 1.830 | V 0.196 | pL -0.211 | vL 2.949 | ∇ 0.387\n",
            "U 289 | F 591872 | FPS 1279 | D 496 | rR:μσmM 4.16 11.26 0.00 39.88 | F:μσmM 967.6 89.5 668.0 1000.0 | H 1.896 | V 0.263 | pL 0.050 | vL 0.002 | ∇ 0.017\n",
            "U 290 | F 593920 | FPS 1323 | D 497 | rR:μσmM 4.16 11.26 0.00 39.88 | F:μσmM 967.6 89.5 668.0 1000.0 | H 1.909 | V 0.213 | pL 0.040 | vL 0.001 | ∇ 0.013\n",
            "Status saved\n",
            "U 291 | F 595968 | FPS 0850 | D 500 | rR:μσmM 4.16 11.26 0.00 39.88 | F:μσmM 967.6 89.5 668.0 1000.0 | H 1.917 | V 0.181 | pL 0.034 | vL 0.000 | ∇ 0.010\n",
            "U 292 | F 598016 | FPS 1148 | D 501 | rR:μσmM 4.16 11.26 0.00 39.88 | F:μσmM 967.6 89.5 668.0 1000.0 | H 1.924 | V 0.150 | pL 0.028 | vL 0.000 | ∇ 0.007\n",
            "U 293 | F 600064 | FPS 1305 | D 503 | rR:μσmM 5.91 12.57 0.00 39.88 | F:μσmM 955.1 97.7 668.0 1000.0 | H 1.914 | V 0.202 | pL -0.222 | vL 3.192 | ∇ 0.235\n",
            "U 294 | F 602112 | FPS 1324 | D 505 | rR:μσmM 5.69 12.00 0.00 36.37 | F:μσmM 957.6 90.7 707.0 1000.0 | H 1.920 | V 0.200 | pL -0.230 | vL 5.084 | ∇ 0.383\n",
            "U 295 | F 604160 | FPS 1276 | D 506 | rR:μσmM 5.69 12.00 0.00 36.37 | F:μσmM 957.6 90.7 707.0 1000.0 | H 1.915 | V 0.186 | pL 0.031 | vL 0.005 | ∇ 0.019\n",
            "U 296 | F 606208 | FPS 1237 | D 508 | rR:μσmM 4.02 10.75 0.00 36.37 | F:μσmM 969.2 83.2 707.0 1000.0 | H 1.919 | V 0.160 | pL 0.033 | vL 0.001 | ∇ 0.014\n",
            "U 297 | F 608256 | FPS 1228 | D 510 | rR:μσmM 5.03 11.07 0.00 36.37 | F:μσmM 964.9 83.2 707.0 1000.0 | H 1.930 | V 0.178 | pL -0.093 | vL 1.020 | ∇ 0.170\n",
            "U 298 | F 610304 | FPS 0979 | D 512 | rR:μσmM 5.03 11.07 0.00 36.37 | F:μσmM 964.9 83.2 707.0 1000.0 | H 1.933 | V 0.158 | pL 0.026 | vL 0.001 | ∇ 0.012\n",
            "U 299 | F 612352 | FPS 0980 | D 514 | rR:μσmM 5.03 11.07 0.00 36.37 | F:μσmM 964.9 83.2 707.0 1000.0 | H 1.933 | V 0.145 | pL 0.026 | vL 0.001 | ∇ 0.012\n",
            "U 300 | F 614400 | FPS 1287 | D 515 | rR:μσmM 5.03 11.07 0.00 36.37 | F:μσmM 964.9 83.2 707.0 1000.0 | H 1.934 | V 0.122 | pL 0.021 | vL 0.000 | ∇ 0.008\n",
            "Status saved\n",
            "Sparse_Medium_2 took 8.0 minutes and 37.89825463294983 seconds\n",
            "/usr/local/lib/python3.10/dist-packages/rl-starter-files/scripts/train.py --algo ppo --env MiniGrid-Dense_Medium_2-v0 --frames 614400 --model Dense_Medium_2 --recurrence 8\n",
            "\n",
            "Namespace(algo='ppo', env='MiniGrid-Dense_Medium_2-v0', model='Dense_Medium_2', seed=1, log_interval=1, save_interval=10, procs=16, frames=614400, epochs=4, batch_size=256, frames_per_proc=None, discount=0.99, lr=0.001, gae_lambda=0.95, entropy_coef=0.01, value_loss_coef=0.5, max_grad_norm=0.5, optim_eps=1e-08, optim_alpha=0.99, clip_eps=0.2, recurrence=8, text=False, mem=True)\n",
            "\n",
            "Device: cpu\n",
            "\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `reset()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "Environments loaded\n",
            "\n",
            "Training status loaded\n",
            "\n",
            "Observations preprocessor loaded\n",
            "Model loaded\n",
            "\n",
            "ACModel(\n",
            "  (image_conv): Sequential(\n",
            "    (0): Conv2d(3, 16, kernel_size=(2, 2), stride=(1, 1))\n",
            "    (1): ReLU()\n",
            "    (2): MaxPool2d(kernel_size=(2, 2), stride=(2, 2), padding=0, dilation=1, ceil_mode=False)\n",
            "    (3): Conv2d(16, 32, kernel_size=(2, 2), stride=(1, 1))\n",
            "    (4): ReLU()\n",
            "    (5): Conv2d(32, 64, kernel_size=(2, 2), stride=(1, 1))\n",
            "    (6): ReLU()\n",
            "  )\n",
            "  (memory_rnn): LSTMCell(64, 64)\n",
            "  (actor): Sequential(\n",
            "    (0): Linear(in_features=64, out_features=64, bias=True)\n",
            "    (1): Tanh()\n",
            "    (2): Linear(in_features=64, out_features=7, bias=True)\n",
            "  )\n",
            "  (critic): Sequential(\n",
            "    (0): Linear(in_features=64, out_features=64, bias=True)\n",
            "    (1): Tanh()\n",
            "    (2): Linear(in_features=64, out_features=1, bias=True)\n",
            "  )\n",
            ")\n",
            "\n",
            "Optimizer loaded\n",
            "\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "/usr/local/lib/python3.10/dist-packages/gymnasium/utils/passive_env_checker.py:159: UserWarning: \u001b[33mWARN: The obs returned by the `step()` method is not within the observation space.\u001b[0m\n",
            "  logger.warn(f\"{pre} is not within the observation space.\")\n",
            "U 1 | F 002048 | FPS 1283 | D 1 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 0.0 0.0 0 0 | H 1.932 | V 0.127 | pL -0.049 | vL 0.064 | ∇ 0.110\n",
            "U 2 | F 004096 | FPS 1366 | D 3 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 0.0 0.0 0 0 | H 1.932 | V 0.073 | pL -0.067 | vL 0.064 | ∇ 0.123\n",
            "U 3 | F 006144 | FPS 1315 | D 4 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 0.0 0.0 0 0 | H 1.911 | V 0.194 | pL -0.096 | vL 0.234 | ∇ 0.211\n",
            "U 4 | F 008192 | FPS 1123 | D 6 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 0.0 0.0 0 0 | H 1.910 | V 0.222 | pL -0.012 | vL 0.047 | ∇ 0.117\n",
            "U 5 | F 010240 | FPS 0894 | D 8 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 0.0 0.0 0 0 | H 1.926 | V 0.222 | pL -0.026 | vL 0.101 | ∇ 0.125\n",
            "U 6 | F 012288 | FPS 1340 | D 10 | rR:μσmM 0.00 0.00 0.00 0.00 | F:μσmM 0.0 0.0 0 0 | H 1.921 | V 0.224 | pL -0.015 | vL 0.032 | ∇ 0.097\n",
            "U 7 | F 014336 | FPS 1288 | D 11 | rR:μσmM 3.97 10.53 0.00 33.94 | F:μσmM 105.6 279.4 0.0 861.0 | H 1.927 | V 0.327 | pL -0.426 | vL 4.776 | ∇ 0.421\n",
            "U 8 | F 016384 | FPS 1257 | D 13 | rR:μσmM 8.67 11.00 0.59 33.94 | F:μσmM 971.4 54.2 828.0 1000.0 | H 1.909 | V 0.354 | pL -0.132 | vL 1.925 | ∇ 0.290\n",
            "U 9 | F 018432 | FPS 1283 | D 15 | rR:μσmM 8.67 11.00 0.59 33.94 | F:μσmM 971.4 54.2 828.0 1000.0 | H 1.911 | V 0.319 | pL -0.025 | vL 0.170 | ∇ 0.167\n",
            "U 10 | F 020480 | FPS 1306 | D 16 | rR:μσmM 8.67 11.00 0.59 33.94 | F:μσmM 971.4 54.2 828.0 1000.0 | H 1.914 | V 0.325 | pL -0.030 | vL 0.136 | ∇ 0.138\n",
            "Status saved\n",
            "U 11 | F 022528 | FPS 1325 | D 18 | rR:μσmM 8.67 11.00 0.59 33.94 | F:μσmM 971.4 54.2 828.0 1000.0 | H 1.911 | V 0.307 | pL 0.036 | vL 0.013 | ∇ 0.048\n",
            "U 12 | F 024576 | FPS 0847 | D 20 | rR:μσmM 10.63 16.66 0.59 65.30 | F:μσmM 948.1 133.1 456.0 1000.0 | H 1.904 | V 0.391 | pL -0.514 | vL 14.333 | ∇ 0.763\n",
            "U 13 | F 026624 | FPS 1196 | D 22 | rR:μσmM 12.28 19.52 0.59 65.30 | F:μσmM 930.1 160.5 456.0 1000.0 | H 1.876 | V 0.512 | pL -0.563 | vL 10.222 | ∇ 1.042\n",
            "U 14 | F 028672 | FPS 1251 | D 24 | rR:μσmM 14.33 19.87 1.30 65.30 | F:μσmM 916.1 162.3 456.0 1000.0 | H 1.861 | V 0.564 | pL -0.470 | vL 5.500 | ∇ 0.769\n",
            "U 15 | F 030720 | FPS 1295 | D 25 | rR:μσmM 19.66 25.69 1.30 84.46 | F:μσmM 871.5 220.7 286.0 1000.0 | H 1.836 | V 0.605 | pL -0.626 | vL 22.625 | ∇ 0.714\n",
            "U 16 | F 032768 | FPS 1263 | D 27 | rR:μσmM 16.70 27.72 0.00 86.33 | F:μσmM 885.6 238.7 254.0 1000.0 | H 1.845 | V 0.743 | pL -0.836 | vL 33.013 | ∇ 2.806\n",
            "U 17 | F 034816 | FPS 1298 | D 28 | rR:μσmM 17.97 28.75 0.00 86.33 | F:μσmM 874.1 245.5 254.0 1000.0 | H 1.832 | V 0.711 | pL -0.356 | vL 7.226 | ∇ 0.806\n",
            "U 18 | F 036864 | FPS 1243 | D 30 | rR:μσmM 17.97 28.75 0.00 86.33 | F:μσmM 874.1 245.5 254.0 1000.0 | H 1.841 | V 0.658 | pL 0.112 | vL 0.023 | ∇ 0.083\n",
            "U 19 | F 038912 | FPS 1003 | D 32 | rR:μσmM 26.90 33.75 0.00 86.33 | F:μσmM 769.3 307.5 254.0 1000.0 | H 1.799 | V 0.743 | pL -2.132 | vL 82.980 | ∇ 2.425\n",
            "U 20 | F 040960 | FPS 0935 | D 34 | rR:μσmM 41.51 36.83 0.00 99.07 | F:μσmM 643.2 330.3 127.0 1000.0 | H 1.829 | V 0.811 | pL -1.547 | vL 59.470 | ∇ 5.073\n",
            "Status saved\n",
            "U 21 | F 043008 | FPS 1306 | D 36 | rR:μσmM 48.26 35.12 0.00 99.07 | F:μσmM 591.4 319.8 127.0 1000.0 | H 1.805 | V 1.042 | pL -0.833 | vL 24.361 | ∇ 3.314\n",
            "U 22 | F 045056 | FPS 1309 | D 37 | rR:μσmM 57.40 24.14 16.15 99.07 | F:μσmM 524.9 248.3 127.0 988.0 | H 1.797 | V 1.169 | pL -1.785 | vL 41.344 | ∇ 2.787\n",
            "U 23 | F 047104 | FPS 1267 | D 39 | rR:μσmM 48.77 31.37 0.00 99.07 | F:μσmM 618.8 302.4 127.0 1000.0 | H 1.783 | V 1.408 | pL -2.026 | vL 59.079 | ∇ 2.533\n",
            "U 24 | F 049152 | FPS 1377 | D 40 | rR:μσmM 45.80 31.92 0.00 96.13 | F:μσmM 641.2 298.0 154.0 1000.0 | H 1.726 | V 1.578 | pL -1.857 | vL 60.468 | ∇ 4.691\n",
            "U 25 | F 051200 | FPS 1290 | D 42 | rR:μσmM 69.30 28.05 0.00 97.35 | F:μσmM 411.5 266.7 142.0 1000.0 | H 1.650 | V 2.061 | pL -4.029 | vL 150.645 | ∇ 9.345\n",
            "U 26 | F 053248 | FPS 1246 | D 44 | rR:μσmM 85.58 11.86 65.90 100.40 | F:μσmM 262.2 125.0 109.0 482.0 | H 1.652 | V 2.410 | pL -6.851 | vL 252.183 | ∇ 7.657\n",
            "U 27 | F 055296 | FPS 0906 | D 46 | rR:μσmM 87.83 16.55 38.42 105.25 | F:μσmM 239.4 172.9 58.0 758.0 | H 1.579 | V 2.732 | pL -9.097 | vL 381.246 | ∇ 9.564\n",
            "U 28 | F 057344 | FPS 1098 | D 48 | rR:μσmM 97.25 5.55 84.49 104.41 | F:μσmM 141.3 58.2 67.0 276.0 | H 1.602 | V 2.804 | pL -9.592 | vL 434.435 | ∇ 11.096\n",
            "U 29 | F 059392 | FPS 1303 | D 49 | rR:μσmM 95.12 8.34 74.27 104.57 | F:μσmM 161.9 84.7 66.0 372.0 | H 1.517 | V 3.253 | pL -9.532 | vL 388.679 | ∇ 9.948\n",
            "U 30 | F 061440 | FPS 1307 | D 51 | rR:μσmM 98.23 7.21 80.38 106.60 | F:μσmM 131.5 73.9 45.0 308.0 | H 1.510 | V 3.530 | pL -8.956 | vL 393.701 | ∇ 16.098\n",
            "Status saved\n",
            "U 31 | F 063488 | FPS 1298 | D 53 | rR:μσmM 98.28 6.57 79.16 105.25 | F:μσmM 130.6 67.1 59.0 328.0 | H 1.457 | V 4.205 | pL -13.803 | vL 581.483 | ∇ 16.178\n",
            "U 32 | F 065536 | FPS 1336 | D 54 | rR:μσmM 102.45 3.47 94.94 106.87 | F:μσmM 87.9 35.9 42.0 165.0 | H 1.359 | V 5.148 | pL -16.493 | vL 743.845 | ∇ 15.721\n",
            "U 33 | F 067584 | FPS 1288 | D 56 | rR:μσmM 102.19 5.71 83.80 106.82 | F:μσmM 91.1 60.4 43.0 288.0 | H 1.299 | V 5.346 | pL -14.765 | vL 658.939 | ∇ 19.566\n",
            "U 34 | F 069632 | FPS 1128 | D 58 | rR:μσmM 102.99 3.33 95.55 107.12 | F:μσmM 82.4 34.6 39.0 162.0 | H 1.196 | V 5.856 | pL -18.602 | vL 852.554 | ∇ 17.515\n",
            "U 35 | F 071680 | FPS 0876 | D 60 | rR:μσmM 104.17 4.28 90.33 108.00 | F:μσmM 69.9 44.3 30.0 216.0 | H 0.977 | V 6.235 | pL -19.453 | vL 878.456 | ∇ 17.223\n",
            "U 36 | F 073728 | FPS 1306 | D 61 | rR:μσmM 105.42 2.26 98.39 107.52 | F:μσmM 57.1 24.0 35.0 132.0 | H 0.834 | V 6.667 | pL -20.071 | vL 958.691 | ∇ 16.292\n",
            "U 37 | F 075776 | FPS 1238 | D 63 | rR:μσmM 105.47 1.79 101.09 107.43 | F:μσmM 56.7 18.8 36.0 106.0 | H 0.700 | V 7.445 | pL -18.878 | vL 897.998 | ∇ 17.264\n",
            "U 38 | F 077824 | FPS 1305 | D 65 | rR:μσmM 105.20 3.70 88.21 108.01 | F:μσmM 59.6 37.9 30.0 229.0 | H 0.632 | V 7.968 | pL -20.882 | vL 979.758 | ∇ 13.909\n",
            "U 39 | F 079872 | FPS 1333 | D 66 | rR:μσmM 106.02 1.67 101.35 108.00 | F:μσmM 51.2 17.6 30.0 99.0 | H 0.609 | V 8.546 | pL -22.637 | vL 1060.625 | ∇ 14.175\n",
            "U 40 | F 081920 | FPS 1285 | D 68 | rR:μσmM 106.44 1.01 103.56 107.84 | F:μσmM 46.6 10.6 32.0 76.0 | H 0.578 | V 8.697 | pL -21.642 | vL 983.432 | ∇ 12.970\n",
            "Status saved\n",
            "U 41 | F 083968 | FPS 1286 | D 69 | rR:μσmM 106.01 2.42 93.37 107.82 | F:μσmM 51.3 25.7 32.0 185.0 | H 0.491 | V 9.547 | pL -22.895 | vL 1043.048 | ∇ 9.828\n",
            "U 42 | F 086016 | FPS 0915 | D 72 | rR:μσmM 99.97 23.04 5.74 107.79 | F:μσmM 110.3 229.7 32.0 1000.0 | H 0.521 | V 10.888 | pL -24.577 | vL 1112.554 | ∇ 11.504\n",
            "U 43 | F 088064 | FPS 1087 | D 74 | rR:μσmM 106.52 1.97 95.77 108.10 | F:μσmM 43.4 12.2 29.0 110.0 | H 0.513 | V 12.621 | pL -28.141 | vL 1269.565 | ∇ 15.294\n",
            "U 44 | F 090112 | FPS 1375 | D 75 | rR:μσmM 106.63 1.07 103.22 108.00 | F:μσmM 44.7 11.4 30.0 79.0 | H 0.400 | V 13.866 | pL -29.923 | vL 1367.809 | ∇ 12.972\n",
            "U 45 | F 092160 | FPS 1314 | D 77 | rR:μσmM 106.85 0.61 104.94 107.72 | F:μσmM 42.4 6.6 33.0 62.0 | H 0.390 | V 14.145 | pL -26.993 | vL 1216.945 | ∇ 11.951\n",
            "U 46 | F 094208 | FPS 1316 | D 78 | rR:μσmM 106.88 0.82 103.91 107.91 | F:μσmM 42.2 8.8 31.0 74.0 | H 0.347 | V 14.704 | pL -27.688 | vL 1246.932 | ∇ 7.316\n",
            "U 47 | F 096256 | FPS 1265 | D 80 | rR:μσmM 106.49 3.58 82.08 108.18 | F:μσmM 46.5 39.8 28.0 318.0 | H 0.301 | V 15.640 | pL -28.391 | vL 1275.510 | ∇ 9.903\n",
            "U 48 | F 098304 | FPS 1299 | D 81 | rR:μσmM 107.13 0.56 104.50 107.83 | F:μσmM 39.4 6.0 32.0 67.0 | H 0.260 | V 16.549 | pL -30.496 | vL 1368.948 | ∇ 11.054\n",
            "U 49 | F 100352 | FPS 1101 | D 83 | rR:μσmM 107.22 0.39 105.85 107.82 | F:μσmM 38.4 4.3 32.0 53.0 | H 0.247 | V 17.497 | pL -30.361 | vL 1348.446 | ∇ 9.041\n",
            "U 50 | F 102400 | FPS 0854 | D 86 | rR:μσmM 107.16 0.64 103.88 108.00 | F:μσmM 39.0 6.8 30.0 73.0 | H 0.215 | V 18.221 | pL -29.353 | vL 1303.519 | ∇ 6.949\n",
            "Status saved\n",
            "U 51 | F 104448 | FPS 1344 | D 87 | rR:μσmM 107.29 0.31 106.70 107.99 | F:μσmM 37.7 3.4 30.0 44.0 | H 0.225 | V 18.722 | pL -30.732 | vL 1351.233 | ∇ 9.469\n",
            "U 52 | F 106496 | FPS 1312 | D 89 | rR:μσmM 107.21 1.14 99.57 108.09 | F:μσmM 38.4 11.7 29.0 116.0 | H 0.187 | V 19.581 | pL -30.619 | vL 1350.867 | ∇ 7.368\n",
            "U 53 | F 108544 | FPS 1337 | D 90 | rR:μσmM 107.25 0.40 106.37 108.09 | F:μσmM 38.1 4.3 29.0 48.0 | H 0.169 | V 20.389 | pL -29.464 | vL 1286.244 | ∇ 7.255\n",
            "U 54 | F 110592 | FPS 1345 | D 92 | rR:μσmM 107.25 0.28 106.45 107.90 | F:μσmM 38.1 3.0 31.0 46.0 | H 0.148 | V 21.141 | pL -30.222 | vL 1292.418 | ∇ 7.380\n",
            "U 55 | F 112640 | FPS 1383 | D 93 | rR:μσmM 107.23 0.35 106.35 107.82 | F:μσmM 38.3 3.8 32.0 48.0 | H 0.143 | V 22.004 | pL -28.397 | vL 1182.363 | ∇ 9.499\n",
            "U 56 | F 114688 | FPS 1268 | D 95 | rR:μσmM 107.20 0.33 106.35 107.91 | F:μσmM 38.7 3.5 31.0 48.0 | H 0.150 | V 22.976 | pL -29.373 | vL 1236.887 | ∇ 9.487\n",
            "U 57 | F 116736 | FPS 1015 | D 97 | rR:μσmM 107.03 0.59 103.57 107.72 | F:μσmM 40.5 6.1 33.0 76.0 | H 0.145 | V 23.630 | pL -25.964 | vL 1057.394 | ∇ 11.245\n",
            "U 58 | F 118784 | FPS 0969 | D 99 | rR:μσmM 107.15 0.27 106.52 107.91 | F:μσmM 39.2 2.9 31.0 46.0 | H 0.139 | V 24.129 | pL -26.290 | vL 1076.084 | ∇ 6.057\n",
            "U 59 | F 120832 | FPS 1228 | D 101 | rR:μσmM 107.27 0.32 106.44 108.00 | F:μσmM 37.9 3.5 30.0 47.0 | H 0.127 | V 24.714 | pL -27.843 | vL 1147.580 | ∇ 9.313\n",
            "U 60 | F 122880 | FPS 1317 | D 102 | rR:μσmM 107.17 0.23 106.69 107.64 | F:μσmM 39.0 2.5 34.0 44.0 | H 0.111 | V 25.224 | pL -27.390 | vL 1086.203 | ∇ 5.314\n",
            "Status saved\n",
            "U 61 | F 124928 | FPS 1269 | D 104 | rR:μσmM 107.21 0.20 106.80 107.64 | F:μσmM 38.6 2.2 34.0 43.0 | H 0.105 | V 25.567 | pL -25.963 | vL 1024.433 | ∇ 5.548\n",
            "U 62 | F 126976 | FPS 1287 | D 105 | rR:μσmM 107.32 0.19 106.79 107.72 | F:μσmM 37.4 2.1 33.0 43.0 | H 0.101 | V 26.216 | pL -26.945 | vL 1068.763 | ∇ 8.070\n",
            "U 63 | F 129024 | FPS 1268 | D 107 | rR:μσmM 107.31 0.20 106.71 107.73 | F:μσmM 37.4 2.1 33.0 44.0 | H 0.079 | V 26.695 | pL -26.697 | vL 1052.857 | ∇ 6.998\n",
            "U 64 | F 131072 | FPS 1209 | D 109 | rR:μσmM 107.39 0.16 107.07 107.73 | F:μσmM 36.6 1.7 33.0 40.0 | H 0.067 | V 27.148 | pL -27.461 | vL 1092.911 | ∇ 3.574\n",
            "U 65 | F 133120 | FPS 0826 | D 111 | rR:μσmM 107.43 0.15 107.07 107.73 | F:μσmM 36.2 1.5 33.0 40.0 | H 0.061 | V 27.666 | pL -26.943 | vL 1057.325 | ∇ 4.923\n",
            "U 66 | F 135168 | FPS 1297 | D 113 | rR:μσmM 107.41 0.13 107.16 107.82 | F:μσmM 36.3 1.4 32.0 39.0 | H 0.048 | V 28.198 | pL -26.376 | vL 1012.205 | ∇ 4.787\n",
            "U 67 | F 137216 | FPS 1339 | D 114 | rR:μσmM 107.39 0.15 107.07 107.64 | F:μσmM 36.6 1.6 34.0 40.0 | H 0.046 | V 28.994 | pL -27.804 | vL 1083.785 | ∇ 4.447\n",
            "U 68 | F 139264 | FPS 1279 | D 116 | rR:μσmM 107.44 0.13 107.25 107.73 | F:μσmM 36.1 1.3 33.0 38.0 | H 0.036 | V 29.700 | pL -25.500 | vL 962.760 | ∇ 3.188\n",
            "U 69 | F 141312 | FPS 1331 | D 118 | rR:μσmM 107.40 0.15 107.16 107.82 | F:μσmM 36.5 1.5 32.0 39.0 | H 0.035 | V 30.265 | pL -26.444 | vL 994.887 | ∇ 3.939\n",
            "U 70 | F 143360 | FPS 1290 | D 119 | rR:μσmM 107.44 0.15 107.16 108.00 | F:μσmM 36.0 1.6 30.0 39.0 | H 0.026 | V 30.697 | pL -25.105 | vL 941.866 | ∇ 3.150\n",
            "Status saved\n",
            "U 71 | F 145408 | FPS 1276 | D 121 | rR:μσmM 107.42 0.13 107.16 107.64 | F:μσmM 36.2 1.3 34.0 39.0 | H 0.021 | V 31.273 | pL -26.033 | vL 973.004 | ∇ 2.825\n",
            "U 72 | F 147456 | FPS 1002 | D 123 | rR:μσmM 107.40 0.13 107.16 107.55 | F:μσmM 36.5 1.3 35.0 39.0 | H 0.016 | V 31.585 | pL -24.207 | vL 890.073 | ∇ 3.347\n",
            "U 73 | F 149504 | FPS 0941 | D 125 | rR:μσmM 107.43 0.11 107.16 107.55 | F:μσmM 36.2 1.1 35.0 39.0 | H 0.015 | V 32.028 | pL -25.735 | vL 941.487 | ∇ 2.075\n",
            "U 74 | F 151552 | FPS 1318 | D 127 | rR:μσmM 107.42 0.11 107.16 107.63 | F:μσmM 36.3 1.2 34.0 39.0 | H 0.017 | V 32.239 | pL -23.822 | vL 869.007 | ∇ 9.316\n",
            "U 75 | F 153600 | FPS 1294 | D 128 | rR:μσmM 107.44 0.13 106.95 107.64 | F:μσmM 36.0 1.3 34.0 41.0 | H 0.021 | V 32.806 | pL -24.658 | vL 887.776 | ∇ 2.930\n",
            "U 76 | F 155648 | FPS 1300 | D 130 | rR:μσmM 107.43 0.12 107.25 107.73 | F:μσmM 36.2 1.3 33.0 38.0 | H 0.011 | V 33.010 | pL -24.500 | vL 901.094 | ∇ 8.775\n",
            "U 77 | F 157696 | FPS 1344 | D 131 | rR:μσmM 107.41 0.14 106.95 107.55 | F:μσmM 36.4 1.4 35.0 41.0 | H 0.008 | V 33.285 | pL -23.711 | vL 852.565 | ∇ 2.027\n",
            "U 78 | F 159744 | FPS 1233 | D 133 | rR:μσmM 107.43 0.10 107.25 107.55 | F:μσmM 36.2 1.0 35.0 38.0 | H 0.006 | V 33.552 | pL -23.442 | vL 843.523 | ∇ 1.851\n",
            "U 79 | F 161792 | FPS 1249 | D 135 | rR:μσmM 107.41 0.13 107.25 107.55 | F:μσmM 36.4 1.3 35.0 38.0 | H 0.004 | V 33.815 | pL -23.828 | vL 837.714 | ∇ 2.090\n",
            "U 80 | F 163840 | FPS 0793 | D 137 | rR:μσmM 107.43 0.10 107.25 107.55 | F:μσmM 36.2 1.0 35.0 38.0 | H 0.004 | V 33.990 | pL -23.218 | vL 824.102 | ∇ 31.776\n",
            "Status saved\n",
            "U 81 | F 165888 | FPS 1299 | D 139 | rR:μσmM 107.43 0.11 107.25 107.55 | F:μσmM 36.2 1.1 35.0 38.0 | H 0.004 | V 34.221 | pL -23.632 | vL 827.049 | ∇ 4.796\n",
            "U 82 | F 167936 | FPS 1299 | D 140 | rR:μσmM 107.42 0.11 107.25 107.55 | F:μσmM 36.3 1.1 35.0 38.0 | H 0.005 | V 34.492 | pL -23.962 | vL 857.691 | ∇ 2.777\n",
            "U 83 | F 169984 | FPS 1296 | D 142 | rR:μσmM 107.42 0.11 107.25 107.55 | F:μσmM 36.3 1.1 35.0 38.0 | H 0.003 | V 34.760 | pL -23.616 | vL 823.726 | ∇ 0.677\n",
            "U 84 | F 172032 | FPS 1298 | D 143 | rR:μσmM 107.41 0.12 107.25 107.55 | F:μσmM 36.4 1.2 35.0 38.0 | H 0.003 | V 34.997 | pL -23.484 | vL 826.043 | ∇ 6.382\n",
            "U 85 | F 174080 | FPS 1264 | D 145 | rR:μσmM 107.44 0.10 107.25 107.55 | F:μσmM 36.1 1.0 35.0 38.0 | H 0.003 | V 35.171 | pL -22.883 | vL 791.413 | ∇ 24.851\n",
            "U 86 | F 176128 | FPS 1227 | D 147 | rR:μσmM 107.41 0.12 107.16 107.55 | F:μσmM 36.4 1.2 35.0 39.0 | H 0.002 | V 35.476 | pL -23.419 | vL 791.060 | ∇ 2.221\n",
            "U 87 | F 178176 | FPS 0898 | D 149 | rR:μσmM 107.45 0.09 107.25 107.55 | F:μσmM 36.0 0.9 35.0 38.0 | H 0.002 | V 35.682 | pL -22.331 | vL 763.808 | ∇ 17.554\n",
            "U 88 | F 180224 | FPS 1055 | D 151 | rR:μσmM 107.42 0.11 107.25 107.55 | F:μσmM 36.3 1.1 35.0 38.0 | H 0.002 | V 35.924 | pL -23.728 | vL 805.372 | ∇ 2.551\n",
            "U 89 | F 182272 | FPS 1305 | D 153 | rR:μσmM 107.41 0.11 107.16 107.55 | F:μσmM 36.4 1.1 35.0 39.0 | H 0.002 | V 36.213 | pL -22.970 | vL 779.625 | ∇ 43.806\n",
            "U 90 | F 184320 | FPS 1362 | D 154 | rR:μσmM 107.39 0.11 107.25 107.55 | F:μσmM 36.6 1.1 35.0 38.0 | H 0.002 | V 36.603 | pL -23.719 | vL 802.718 | ∇ 4.863\n",
            "Status saved\n",
            "U 91 | F 186368 | FPS 1323 | D 156 | rR:μσmM 107.44 0.10 107.25 107.55 | F:μσmM 36.1 1.0 35.0 38.0 | H 0.001 | V 36.818 | pL -22.517 | vL 760.108 | ∇ 2.754\n",
            "U 92 | F 188416 | FPS 1270 | D 157 | rR:μσmM 107.45 0.10 107.25 107.55 | F:μσmM 36.0 1.0 35.0 38.0 | H 0.001 | V 37.053 | pL -22.806 | vL 768.745 | ∇ 1.814\n",
            "U 93 | F 190464 | FPS 1329 | D 159 | rR:μσmM 107.46 0.09 107.25 107.55 | F:μσmM 35.9 0.9 35.0 38.0 | H 0.001 | V 37.302 | pL -22.370 | vL 751.400 | ∇ 0.830\n",
            "U 94 | F 192512 | FPS 1195 | D 160 | rR:μσmM 107.44 0.10 107.25 107.55 | F:μσmM 36.1 1.1 35.0 38.0 | H 0.001 | V 37.473 | pL -22.439 | vL 754.426 | ∇ 53.663\n",
            "U 95 | F 194560 | FPS 0831 | D 163 | rR:μσmM 107.42 0.11 107.25 107.55 | F:μσmM 36.3 1.1 35.0 38.0 | H 0.001 | V 37.770 | pL -22.097 | vL 729.498 | ∇ 2.298\n",
            "U 96 | F 196608 | FPS 1356 | D 164 | rR:μσmM 107.43 0.09 107.25 107.55 | F:μσmM 36.2 0.9 35.0 38.0 | H 0.001 | V 37.996 | pL -22.150 | vL 722.685 | ∇ 35.449\n",
            "U 97 | F 198656 | FPS 1310 | D 166 | rR:μσmM 107.43 0.10 107.25 107.55 | F:μσmM 36.2 1.0 35.0 38.0 | H 0.001 | V 38.206 | pL -22.937 | vL 759.685 | ∇ 16.313\n",
            "U 98 | F 200704 | FPS 1313 | D 168 | rR:μσmM 107.43 0.11 107.25 107.55 | F:μσmM 36.1 1.1 35.0 38.0 | H 0.001 | V 38.509 | pL -22.315 | vL 744.348 | ∇ 0.615\n",
            "U 99 | F 202752 | FPS 1304 | D 169 | rR:μσmM 107.42 0.11 107.25 107.55 | F:μσmM 36.3 1.1 35.0 38.0 | H 0.001 | V 38.665 | pL -22.108 | vL 723.208 | ∇ 2.446\n",
            "U 100 | F 204800 | FPS 1269 | D 171 | rR:μσmM 107.41 0.12 107.25 107.55 | F:μσmM 36.4 1.2 35.0 38.0 | H 0.001 | V 38.848 | pL -21.415 | vL 681.811 | ∇ 82.185\n",
            "Status saved\n",
            "U 101 | F 206848 | FPS 1378 | D 172 | rR:μσmM 107.42 0.10 107.25 107.55 | F:μσmM 36.2 1.0 35.0 38.0 | H 0.001 | V 39.121 | pL -21.247 | vL 687.756 | ∇ 2.079\n",
            "U 102 | F 208896 | FPS 1002 | D 174 | rR:μσmM 107.43 0.11 107.25 107.55 | F:μσmM 36.2 1.1 35.0 38.0 | H 0.001 | V 39.343 | pL -20.838 | vL 671.443 | ∇ 18.547\n",
            "U 103 | F 210944 | FPS 0924 | D 177 | rR:μσmM 107.42 0.11 107.25 107.55 | F:μσmM 36.2 1.1 35.0 38.0 | H 0.001 | V 39.576 | pL -21.896 | vL 698.110 | ∇ 0.428\n",
            "U 104 | F 212992 | FPS 1305 | D 178 | rR:μσmM 107.44 0.09 107.25 107.55 | F:μσmM 36.1 0.9 35.0 38.0 | H 0.001 | V 39.779 | pL -21.531 | vL 676.658 | ∇ 3.945\n",
            "U 105 | F 215040 | FPS 1285 | D 180 | rR:μσmM 107.44 0.11 107.16 107.55 | F:μσmM 36.1 1.1 35.0 39.0 | H 0.001 | V 40.106 | pL -21.514 | vL 691.430 | ∇ 0.611\n",
            "U 106 | F 217088 | FPS 1354 | D 181 | rR:μσmM 107.42 0.12 107.25 107.55 | F:μσmM 36.3 1.2 35.0 38.0 | H 0.001 | V 40.319 | pL -21.042 | vL 663.067 | ∇ 4.317\n",
            "U 107 | F 219136 | FPS 1307 | D 183 | rR:μσmM 107.44 0.11 107.25 107.55 | F:μσmM 36.1 1.1 35.0 38.0 | H 0.001 | V 40.600 | pL -21.194 | vL 675.434 | ∇ 22.027\n",
            "U 108 | F 221184 | FPS 1304 | D 184 | rR:μσmM 107.42 0.12 107.25 107.55 | F:μσmM 36.3 1.2 35.0 38.0 | H 0.001 | V 40.843 | pL -20.652 | vL 639.573 | ∇ 91.252\n",
            "U 109 | F 223232 | FPS 1277 | D 186 | rR:μσmM 107.42 0.11 107.25 107.55 | F:μσmM 36.3 1.1 35.0 38.0 | H 0.001 | V 41.155 | pL -20.317 | vL 620.851 | ∇ 40.245\n",
            "U 110 | F 225280 | FPS 0834 | D 188 | rR:μσmM 107.43 0.11 107.25 107.55 | F:μσmM 36.2 1.1 35.0 38.0 | H 0.001 | V 41.400 | pL -20.166 | vL 635.019 | ∇ 3.607\n",
            "Status saved\n",
            "U 111 | F 227328 | FPS 1205 | D 190 | rR:μσmM 107.41 0.10 107.25 107.55 | F:μσmM 36.4 1.0 35.0 38.0 | H 0.001 | V 41.656 | pL -19.861 | vL 606.730 | ∇ 9.489\n",
            "U 112 | F 229376 | FPS 1296 | D 192 | rR:μσmM 107.45 0.09 107.25 107.55 | F:μσmM 36.0 0.9 35.0 38.0 | H 0.001 | V 41.881 | pL -20.130 | vL 624.743 | ∇ 89.514\n",
            "U 113 | F 231424 | FPS 1310 | D 193 | rR:μσmM 107.42 0.11 107.25 107.55 | F:μσmM 36.3 1.1 35.0 38.0 | H 0.001 | V 42.201 | pL -19.606 | vL 589.560 | ∇ 11.327\n",
            "U 114 | F 233472 | FPS 1217 | D 195 | rR:μσmM 107.40 0.12 107.25 107.55 | F:μσmM 36.5 1.2 35.0 38.0 | H 0.001 | V 42.415 | pL -19.472 | vL 590.294 | ∇ 71.250\n",
            "U 115 | F 235520 | FPS 1292 | D 197 | rR:μσmM 107.41 0.11 107.25 107.55 | F:μσmM 36.4 1.1 35.0 38.0 | H 0.001 | V 42.666 | pL -19.504 | vL 596.926 | ∇ 1.904\n",
            "U 116 | F 237568 | FPS 1321 | D 198 | rR:μσmM 107.39 0.12 107.25 107.55 | F:μσmM 36.6 1.2 35.0 38.0 | H 0.002 | V 42.928 | pL -19.809 | vL 594.780 | ∇ 4.323\n",
            "U 117 | F 239616 | FPS 0962 | D 200 | rR:μσmM 107.42 0.12 107.25 107.55 | F:μσmM 36.3 1.2 35.0 38.0 | H 0.001 | V 43.166 | pL -19.049 | vL 558.351 | ∇ 14.988\n",
            "U 118 | F 241664 | FPS 0941 | D 202 | rR:μσmM 107.42 0.12 107.25 107.55 | F:μσmM 36.3 1.2 35.0 38.0 | H 0.001 | V 43.453 | pL -20.449 | vL 615.624 | ∇ 107.213\n",
            "U 119 | F 243712 | FPS 1270 | D 204 | rR:μσmM 107.43 0.11 107.25 107.55 | F:μσmM 36.2 1.1 35.0 38.0 | H 0.001 | V 43.772 | pL -19.112 | vL 558.811 | ∇ 7.701\n",
            "U 120 | F 245760 | FPS 1264 | D 206 | rR:μσmM 107.44 0.11 107.25 107.55 | F:μσmM 36.1 1.1 35.0 38.0 | H 0.001 | V 44.000 | pL -19.949 | vL 587.974 | ∇ 1.342\n",
            "Status saved\n",
            "U 121 | F 247808 | FPS 1314 | D 207 | rR:μσmM 107.42 0.11 107.25 107.55 | F:μσmM 36.3 1.1 35.0 38.0 | H 0.001 | V 44.204 | pL -18.772 | vL 545.012 | ∇ 78.079\n",
            "U 122 | F 249856 | FPS 1297 | D 209 | rR:μσmM 107.41 0.11 107.25 107.55 | F:μσmM 36.4 1.1 35.0 38.0 | H 0.001 | V 44.550 | pL -19.381 | vL 568.120 | ∇ 2.114\n",
            "U 123 | F 251904 | FPS 1302 | D 210 | rR:μσmM 107.41 0.11 107.25 107.55 | F:μσmM 36.4 1.1 35.0 38.0 | H 0.001 | V 44.741 | pL -17.466 | vL 506.609 | ∇ 30.657\n",
            "U 124 | F 253952 | FPS 1132 | D 212 | rR:μσmM 107.43 0.10 107.25 107.55 | F:μσmM 36.1 1.0 35.0 38.0 | H 0.001 | V 44.995 | pL -19.592 | vL 572.313 | ∇ 21.273\n",
            "U 125 | F 256000 | FPS 0863 | D 215 | rR:μσmM 107.43 0.12 107.25 107.55 | F:μσmM 36.2 1.2 35.0 38.0 | H 0.000 | V 45.284 | pL -18.026 | vL 512.539 | ∇ 5.455\n",
            "U 126 | F 258048 | FPS 1308 | D 216 | rR:μσmM 107.39 0.12 107.25 107.55 | F:μσmM 36.6 1.2 35.0 38.0 | H 0.000 | V 45.491 | pL -18.502 | vL 524.706 | ∇ 34.893\n",
            "U 127 | F 260096 | FPS 1363 | D 218 | rR:μσmM 107.42 0.11 107.25 107.63 | F:μσmM 36.3 1.1 34.0 38.0 | H 0.001 | V 45.697 | pL -17.776 | vL 509.785 | ∇ 14.433\n",
            "U 128 | F 262144 | FPS 1273 | D 219 | rR:μσmM 107.39 0.11 107.25 107.55 | F:μσmM 36.6 1.1 35.0 38.0 | H 0.001 | V 45.955 | pL -17.693 | vL 499.612 | ∇ 1.987\n",
            "U 129 | F 264192 | FPS 1287 | D 221 | rR:μσmM 107.42 0.11 107.25 107.55 | F:μσmM 36.3 1.1 35.0 38.0 | H 0.001 | V 46.179 | pL -17.618 | vL 500.746 | ∇ 2.214\n",
            "U 130 | F 266240 | FPS 1267 | D 222 | rR:μσmM 107.44 0.10 107.25 107.55 | F:μσmM 36.1 1.0 35.0 38.0 | H 0.000 | V 46.364 | pL -18.293 | vL 519.681 | ∇ 2.276\n",
            "Status saved\n",
            "U 131 | F 268288 | FPS 1270 | D 224 | rR:μσmM 107.44 0.10 107.25 107.55 | F:μσmM 36.1 1.0 35.0 38.0 | H 0.001 | V 46.564 | pL -17.865 | vL 504.073 | ∇ 28.534\n",
            "U 132 | F 270336 | FPS 0945 | D 226 | rR:μσmM 107.42 0.10 107.25 107.55 | F:μσmM 36.3 1.0 35.0 38.0 | H 0.001 | V 46.783 | pL -17.801 | vL 492.406 | ∇ 1.272\n",
            "U 133 | F 272384 | FPS 1014 | D 228 | rR:μσmM 107.46 0.10 107.25 107.73 | F:μσmM 35.9 1.0 33.0 38.0 | H 0.001 | V 46.969 | pL -18.309 | vL 505.406 | ∇ 2.090\n",
            "U 134 | F 274432 | FPS 1304 | D 230 | rR:μσmM 107.39 0.12 107.25 107.55 | F:μσmM 36.6 1.2 35.0 38.0 | H 0.001 | V 47.187 | pL -17.415 | vL 478.137 | ∇ 46.664\n",
            "U 135 | F 276480 | FPS 1365 | D 231 | rR:μσmM 107.38 0.12 107.16 107.55 | F:μσmM 36.7 1.3 35.0 39.0 | H 0.013 | V 47.524 | pL -17.664 | vL 492.790 | ∇ 4.664\n",
            "U 136 | F 278528 | FPS 1278 | D 233 | rR:μσmM 107.36 0.13 107.16 107.55 | F:μσmM 36.9 1.3 35.0 39.0 | H 0.003 | V 47.769 | pL -17.015 | vL 468.420 | ∇ 9.715\n",
            "U 137 | F 280576 | FPS 1246 | D 235 | rR:μσmM 107.30 0.13 107.07 107.46 | F:μσmM 37.7 1.3 36.0 40.0 | H 0.012 | V 48.058 | pL -16.559 | vL 453.978 | ∇ 18.956\n",
            "U 138 | F 282624 | FPS 1350 | D 236 | rR:μσmM 107.35 0.12 107.15 107.55 | F:μσmM 37.1 1.2 35.0 39.0 | H 0.010 | V 48.377 | pL -16.463 | vL 431.645 | ∇ 2.221\n",
            "U 139 | F 284672 | FPS 1196 | D 238 | rR:μσmM 107.35 0.09 107.16 107.46 | F:μσmM 37.1 0.9 36.0 39.0 | H 0.003 | V 48.565 | pL -16.683 | vL 451.483 | ∇ 18.337\n",
            "U 140 | F 286720 | FPS 0827 | D 240 | rR:μσmM 107.31 0.11 107.16 107.46 | F:μσmM 37.5 1.1 36.0 39.0 | H 0.001 | V 48.792 | pL -15.954 | vL 416.305 | ∇ 4.180\n",
            "Status saved\n",
            "U 141 | F 288768 | FPS 1258 | D 242 | rR:μσmM 107.34 0.10 107.16 107.46 | F:μσmM 37.2 1.0 36.0 39.0 | H 0.001 | V 49.049 | pL -15.495 | vL 417.499 | ∇ 30.838\n",
            "U 142 | F 290816 | FPS 1285 | D 244 | rR:μσmM 107.36 0.10 107.16 107.46 | F:μσmM 36.9 1.0 36.0 39.0 | H 0.001 | V 49.241 | pL -16.597 | vL 437.039 | ∇ 33.056\n",
            "U 143 | F 292864 | FPS 1268 | D 245 | rR:μσmM 107.33 0.11 107.16 107.46 | F:μσmM 37.3 1.1 36.0 39.0 | H 0.001 | V 49.558 | pL -14.773 | vL 391.850 | ∇ 23.358\n",
            "U 144 | F 294912 | FPS 1254 | D 247 | rR:μσmM 107.34 0.11 107.16 107.46 | F:μσmM 37.2 1.1 36.0 39.0 | H 0.001 | V 49.782 | pL -16.062 | vL 425.239 | ∇ 13.966\n",
            "U 145 | F 296960 | FPS 1275 | D 248 | rR:μσmM 107.31 0.11 107.16 107.46 | F:μσmM 37.5 1.1 36.0 39.0 | H 0.001 | V 49.932 | pL -15.080 | vL 390.348 | ∇ 53.163\n",
            "U 146 | F 299008 | FPS 1303 | D 250 | rR:μσmM 107.35 0.10 107.16 107.46 | F:μσmM 37.1 1.0 36.0 39.0 | H 0.001 | V 50.166 | pL -15.567 | vL 405.224 | ∇ 3.287\n",
            "U 147 | F 301056 | FPS 0897 | D 252 | rR:μσmM 107.31 0.11 107.16 107.46 | F:μσmM 37.5 1.1 36.0 39.0 | H 0.000 | V 50.402 | pL -15.817 | vL 403.606 | ∇ 22.232\n",
            "U 148 | F 303104 | FPS 1035 | D 254 | rR:μσmM 107.34 0.10 107.16 107.46 | F:μσmM 37.2 1.0 36.0 39.0 | H 0.001 | V 50.747 | pL -15.508 | vL 404.081 | ∇ 17.427\n",
            "U 149 | F 305152 | FPS 1356 | D 256 | rR:μσmM 107.35 0.10 107.16 107.46 | F:μσmM 37.1 1.0 36.0 39.0 | H 0.001 | V 50.978 | pL -15.524 | vL 396.653 | ∇ 56.541\n",
            "U 150 | F 307200 | FPS 1271 | D 257 | rR:μσmM 107.32 0.10 107.16 107.46 | F:μσmM 37.4 1.0 36.0 39.0 | H 0.001 | V 51.287 | pL -14.664 | vL 370.942 | ∇ 8.849\n",
            "Status saved\n",
            "U 151 | F 309248 | FPS 1303 | D 259 | rR:μσmM 107.34 0.11 107.16 107.46 | F:μσmM 37.2 1.1 36.0 39.0 | H 0.001 | V 51.469 | pL -15.477 | vL 387.631 | ∇ 6.085\n",
            "U 152 | F 311296 | FPS 1301 | D 261 | rR:μσmM 107.35 0.11 107.16 107.46 | F:μσmM 37.1 1.1 36.0 39.0 | H 0.000 | V 51.799 | pL -14.133 | vL 353.590 | ∇ 18.028\n",
            "U 153 | F 313344 | FPS 1374 | D 262 | rR:μσmM 107.31 0.11 107.16 107.46 | F:μσmM 37.5 1.1 36.0 39.0 | H 0.000 | V 52.070 | pL -15.383 | vL 383.565 | ∇ 42.523\n",
            "U 154 | F 315392 | FPS 1231 | D 264 | rR:μσmM 107.36 0.09 107.16 107.46 | F:μσmM 37.0 0.9 36.0 39.0 | H 0.000 | V 52.326 | pL -14.672 | vL 360.145 | ∇ 1.612\n",
            "U 155 | F 317440 | FPS 0828 | D 266 | rR:μσmM 107.34 0.10 107.16 107.46 | F:μσmM 37.2 1.0 36.0 39.0 | H 0.000 | V 52.502 | pL -14.441 | vL 362.612 | ∇ 17.089\n",
            "U 156 | F 319488 | FPS 1278 | D 268 | rR:μσmM 107.36 0.09 107.16 107.46 | F:μσmM 36.9 0.9 36.0 39.0 | H 0.000 | V 52.767 | pL -14.468 | vL 344.508 | ∇ 1.168\n",
            "U 157 | F 321536 | FPS 1290 | D 269 | rR:μσmM 107.34 0.10 107.16 107.46 | F:μσmM 37.2 1.0 36.0 39.0 | H 0.000 | V 52.975 | pL -14.267 | vL 350.333 | ∇ 2.187\n",
            "U 158 | F 323584 | FPS 1310 | D 271 | rR:μσmM 107.35 0.10 107.16 107.46 | F:μσmM 37.1 1.0 36.0 39.0 | H 0.000 | V 53.162 | pL -14.573 | vL 349.585 | ∇ 45.301\n",
            "U 159 | F 325632 | FPS 1241 | D 273 | rR:μσmM 107.33 0.10 107.16 107.46 | F:μσmM 37.3 1.0 36.0 39.0 | H 0.000 | V 53.496 | pL -13.950 | vL 326.732 | ∇ 1.595\n",
            "U 160 | F 327680 | FPS 1281 | D 274 | rR:μσmM 107.33 0.12 107.16 107.46 | F:μσmM 37.3 1.2 36.0 39.0 | H 0.001 | V 53.723 | pL -14.744 | vL 357.604 | ∇ 1.650\n",
            "Status saved\n",
            "U 161 | F 329728 | FPS 1298 | D 276 | rR:μσmM 107.30 0.11 107.16 107.46 | F:μσmM 37.6 1.2 36.0 39.0 | H 0.000 | V 53.887 | pL -13.836 | vL 323.039 | ∇ 74.081\n",
            "U 162 | F 331776 | FPS 0909 | D 278 | rR:μσmM 107.32 0.13 107.07 107.46 | F:μσmM 37.4 1.3 36.0 40.0 | H 0.001 | V 54.222 | pL -13.264 | vL 313.805 | ∇ 2.074\n",
            "U 163 | F 333824 | FPS 1021 | D 280 | rR:μσmM 107.32 0.11 107.16 107.46 | F:μσmM 37.4 1.1 36.0 39.0 | H 0.001 | V 54.399 | pL -13.483 | vL 309.231 | ∇ 7.239\n",
            "U 164 | F 335872 | FPS 1284 | D 282 | rR:μσmM 107.34 0.11 107.16 107.46 | F:μσmM 37.2 1.1 36.0 39.0 | H 0.000 | V 54.621 | pL -13.086 | vL 311.608 | ∇ 11.863\n",
            "U 165 | F 337920 | FPS 1285 | D 283 | rR:μσmM 107.32 0.11 107.16 107.46 | F:μσmM 37.4 1.1 36.0 39.0 | H 0.000 | V 54.835 | pL -13.517 | vL 317.079 | ∇ 4.427\n",
            "U 166 | F 339968 | FPS 1310 | D 285 | rR:μσmM 107.33 0.11 107.16 107.46 | F:μσmM 37.2 1.1 36.0 39.0 | H 0.000 | V 55.078 | pL -13.224 | vL 306.602 | ∇ 1.960\n",
            "U 167 | F 342016 | FPS 1328 | D 286 | rR:μσmM 107.34 0.11 107.16 107.46 | F:μσmM 37.2 1.1 36.0 39.0 | H 0.000 | V 55.314 | pL -14.036 | vL 325.520 | ∇ 39.094\n",
            "U 168 | F 344064 | FPS 1277 | D 288 | rR:μσmM 107.32 0.12 107.16 107.46 | F:μσmM 37.4 1.2 36.0 39.0 | H 0.000 | V 55.511 | pL -12.989 | vL 293.960 | ∇ 22.661\n",
            "U 169 | F 346112 | FPS 1136 | D 290 | rR:μσmM 107.35 0.11 107.16 107.46 | F:μσmM 37.1 1.1 36.0 39.0 | H 0.000 | V 55.752 | pL -12.916 | vL 297.490 | ∇ 14.914\n",
            "U 170 | F 348160 | FPS 0886 | D 292 | rR:μσmM 107.33 0.11 107.16 107.46 | F:μσmM 37.3 1.1 36.0 39.0 | H 0.000 | V 56.012 | pL -12.724 | vL 282.390 | ∇ 2.958\n",
            "Status saved\n",
            "U 171 | F 350208 | FPS 1313 | D 294 | rR:μσmM 107.34 0.11 107.16 107.46 | F:μσmM 37.2 1.1 36.0 39.0 | H 0.000 | V 56.236 | pL -13.263 | vL 294.638 | ∇ 13.021\n",
            "U 172 | F 352256 | FPS 1412 | D 295 | rR:μσmM 107.35 0.09 107.16 107.46 | F:μσmM 37.1 0.9 36.0 39.0 | H 0.001 | V 56.487 | pL -12.295 | vL 269.753 | ∇ 4.404\n",
            "U 173 | F 354304 | FPS 1336 | D 297 | rR:μσmM 107.35 0.10 107.16 107.46 | F:μσmM 37.1 1.0 36.0 39.0 | H 0.000 | V 56.652 | pL -11.473 | vL 267.775 | ∇ 28.476\n",
            "U 174 | F 356352 | FPS 1282 | D 298 | rR:μσmM 107.32 0.12 107.07 107.46 | F:μσmM 37.4 1.2 36.0 40.0 | H 0.001 | V 56.883 | pL -12.506 | vL 273.617 | ∇ 3.626\n",
            "U 175 | F 358400 | FPS 1245 | D 300 | rR:μσmM 107.31 0.12 107.07 107.46 | F:μσmM 37.5 1.2 36.0 40.0 | H 0.001 | V 57.164 | pL -11.728 | vL 259.498 | ∇ 1.629\n",
            "U 176 | F 360448 | FPS 1324 | D 301 | rR:μσmM 107.31 0.13 107.16 107.46 | F:μσmM 37.5 1.3 36.0 39.0 | H 0.001 | V 57.335 | pL -12.729 | vL 275.321 | ∇ 63.170\n",
            "U 177 | F 362496 | FPS 0966 | D 304 | rR:μσmM 107.36 0.09 107.16 107.46 | F:μσmM 36.9 0.9 36.0 39.0 | H 0.000 | V 57.667 | pL -12.092 | vL 258.985 | ∇ 2.260\n",
            "U 178 | F 364544 | FPS 0996 | D 306 | rR:μσmM 107.32 0.11 107.07 107.46 | F:μσmM 37.4 1.1 36.0 40.0 | H 0.001 | V 57.845 | pL -11.840 | vL 261.196 | ∇ 5.542\n",
            "U 179 | F 366592 | FPS 1254 | D 307 | rR:μσmM 107.34 0.11 107.16 107.46 | F:μσmM 37.2 1.1 36.0 39.0 | H 0.000 | V 58.079 | pL -12.212 | vL 261.487 | ∇ 0.861\n",
            "U 180 | F 368640 | FPS 1293 | D 309 | rR:μσmM 107.32 0.12 107.16 107.46 | F:μσmM 37.4 1.2 36.0 39.0 | H 0.000 | V 58.297 | pL -11.374 | vL 250.632 | ∇ 1.888\n",
            "Status saved\n",
            "U 181 | F 370688 | FPS 1357 | D 310 | rR:μσmM 107.34 0.11 107.16 107.46 | F:μσmM 37.2 1.1 36.0 39.0 | H 0.000 | V 58.500 | pL -12.005 | vL 256.073 | ∇ 1.055\n",
            "U 182 | F 372736 | FPS 1296 | D 312 | rR:μσmM 107.31 0.12 107.16 107.46 | F:μσmM 37.5 1.2 36.0 39.0 | H 0.000 | V 58.715 | pL -11.324 | vL 239.200 | ∇ 15.548\n",
            "U 183 | F 374784 | FPS 1363 | D 313 | rR:μσmM 107.33 0.11 107.16 107.46 | F:μσmM 37.3 1.1 36.0 39.0 | H 0.000 | V 59.003 | pL -12.091 | vL 254.335 | ∇ 3.036\n",
            "U 184 | F 376832 | FPS 1229 | D 315 | rR:μσmM 107.35 0.11 107.16 107.46 | F:μσmM 37.1 1.1 36.0 39.0 | H 0.000 | V 59.261 | pL -11.811 | vL 245.903 | ∇ 1.025\n",
            "U 185 | F 378880 | FPS 0837 | D 318 | rR:μσmM 107.36 0.09 107.16 107.46 | F:μσmM 37.0 0.9 36.0 39.0 | H 0.000 | V 59.526 | pL -11.770 | vL 244.583 | ∇ 14.545\n",
            "U 186 | F 380928 | FPS 1312 | D 319 | rR:μσmM 107.31 0.10 107.16 107.46 | F:μσmM 37.5 1.0 36.0 39.0 | H 0.000 | V 59.765 | pL -11.050 | vL 224.986 | ∇ 1.381\n",
            "U 187 | F 382976 | FPS 1288 | D 321 | rR:μσmM 107.35 0.11 107.16 107.46 | F:μσmM 37.1 1.1 36.0 39.0 | H 0.001 | V 59.978 | pL -10.648 | vL 218.938 | ∇ 17.866\n",
            "U 188 | F 385024 | FPS 1268 | D 322 | rR:μσmM 107.34 0.11 107.16 107.46 | F:μσmM 37.2 1.2 36.0 39.0 | H 0.001 | V 60.217 | pL -10.774 | vL 217.448 | ∇ 1.099\n",
            "U 189 | F 387072 | FPS 1297 | D 324 | rR:μσmM 107.32 0.11 107.16 107.46 | F:μσmM 37.4 1.2 36.0 39.0 | H 0.000 | V 60.447 | pL -10.345 | vL 208.928 | ∇ 1.967\n",
            "U 190 | F 389120 | FPS 1379 | D 325 | rR:μσmM 107.32 0.11 107.16 107.46 | F:μσmM 37.4 1.1 36.0 39.0 | H 0.000 | V 60.653 | pL -10.324 | vL 209.714 | ∇ 13.889\n",
            "Status saved\n",
            "U 191 | F 391168 | FPS 1302 | D 327 | rR:μσmM 107.35 0.10 107.16 107.46 | F:μσmM 37.1 1.0 36.0 39.0 | H 0.000 | V 60.927 | pL -10.425 | vL 205.676 | ∇ 1.915\n",
            "U 192 | F 393216 | FPS 1062 | D 329 | rR:μσmM 107.34 0.09 107.16 107.46 | F:μσmM 37.2 0.9 36.0 39.0 | H 0.000 | V 61.144 | pL -10.142 | vL 207.062 | ∇ 3.590\n",
            "U 193 | F 395264 | FPS 0907 | D 331 | rR:μσmM 107.30 0.14 107.07 107.46 | F:μσmM 37.6 1.4 36.0 40.0 | H 0.001 | V 61.354 | pL -10.254 | vL 198.483 | ∇ 1.854\n",
            "U 194 | F 397312 | FPS 1308 | D 333 | rR:μσmM 107.34 0.11 107.16 107.46 | F:μσmM 37.2 1.1 36.0 39.0 | H 0.000 | V 61.574 | pL -10.382 | vL 203.801 | ∇ 3.320\n",
            "U 195 | F 399360 | FPS 1268 | D 334 | rR:μσmM 107.37 0.11 107.07 107.46 | F:μσmM 36.9 1.1 36.0 40.0 | H 0.000 | V 61.790 | pL -10.572 | vL 204.776 | ∇ 0.505\n",
            "U 196 | F 401408 | FPS 1381 | D 336 | rR:μσmM 107.34 0.12 107.16 107.46 | F:μσmM 37.2 1.2 36.0 39.0 | H 0.000 | V 62.019 | pL -10.190 | vL 198.279 | ∇ 6.252\n",
            "U 197 | F 403456 | FPS 1380 | D 337 | rR:μσmM 107.30 0.13 107.16 107.46 | F:μσmM 37.6 1.3 36.0 39.0 | H 0.000 | V 62.241 | pL -9.457 | vL 181.085 | ∇ 26.772\n",
            "U 198 | F 405504 | FPS 1265 | D 339 | rR:μσmM 107.35 0.09 107.16 107.46 | F:μσmM 37.1 1.0 36.0 39.0 | H 0.000 | V 62.609 | pL -9.716 | vL 186.012 | ∇ 2.187\n",
            "U 199 | F 407552 | FPS 1323 | D 341 | rR:μσmM 107.32 0.11 107.06 107.46 | F:μσmM 37.4 1.1 36.0 40.0 | H 0.001 | V 62.753 | pL -9.454 | vL 178.537 | ∇ 3.426\n",
            "U 200 | F 409600 | FPS 0867 | D 343 | rR:μσmM 107.31 0.11 107.16 107.46 | F:μσmM 37.5 1.2 36.0 39.0 | H 0.000 | V 62.982 | pL -9.393 | vL 180.397 | ∇ 2.828\n",
            "Status saved\n",
            "U 201 | F 411648 | FPS 1111 | D 345 | rR:μσmM 107.32 0.11 107.16 107.46 | F:μσmM 37.4 1.1 36.0 39.0 | H 0.000 | V 63.271 | pL -9.955 | vL 182.971 | ∇ 1.155\n",
            "U 202 | F 413696 | FPS 1257 | D 346 | rR:μσmM 107.34 0.11 107.16 107.46 | F:μσmM 37.1 1.1 36.0 39.0 | H 0.000 | V 63.459 | pL -9.805 | vL 180.923 | ∇ 15.859\n",
            "U 203 | F 415744 | FPS 1384 | D 348 | rR:μσmM 107.33 0.11 107.16 107.46 | F:μσmM 37.3 1.1 36.0 39.0 | H 0.000 | V 63.833 | pL -9.335 | vL 174.289 | ∇ 1.634\n",
            "U 204 | F 417792 | FPS 1278 | D 349 | rR:μσmM 107.30 0.12 107.16 107.46 | F:μσmM 37.6 1.2 36.0 39.0 | H 0.000 | V 64.028 | pL -9.494 | vL 171.663 | ∇ 1.115\n",
            "U 205 | F 419840 | FPS 1327 | D 351 | rR:μσmM 107.33 0.11 107.16 107.46 | F:μσmM 37.3 1.1 36.0 39.0 | H 0.000 | V 64.227 | pL -9.360 | vL 170.294 | ∇ 2.337\n",
            "U 206 | F 421888 | FPS 1319 | D 353 | rR:μσmM 107.33 0.11 107.16 107.54 | F:μσmM 37.3 1.1 35.0 39.0 | H 0.000 | V 64.432 | pL -8.922 | vL 160.312 | ∇ 4.331\n",
            "U 207 | F 423936 | FPS 1119 | D 354 | rR:μσmM 107.35 0.10 107.16 107.46 | F:μσmM 37.1 1.0 36.0 39.0 | H 0.000 | V 64.706 | pL -9.004 | vL 161.462 | ∇ 1.709\n",
            "U 208 | F 425984 | FPS 0883 | D 357 | rR:μσmM 107.35 0.11 107.16 107.46 | F:μσmM 37.1 1.1 36.0 39.0 | H 0.000 | V 64.912 | pL -8.473 | vL 149.743 | ∇ 1.625\n",
            "U 209 | F 428032 | FPS 1316 | D 358 | rR:μσmM 107.33 0.12 107.16 107.46 | F:μσmM 37.3 1.2 36.0 39.0 | H 0.000 | V 65.110 | pL -8.188 | vL 151.037 | ∇ 21.926\n",
            "U 210 | F 430080 | FPS 1317 | D 360 | rR:μσmM 107.33 0.11 107.16 107.46 | F:μσmM 37.3 1.1 36.0 39.0 | H 0.000 | V 65.302 | pL -8.139 | vL 143.666 | ∇ 5.019\n",
            "Status saved\n",
            "U 211 | F 432128 | FPS 1288 | D 361 | rR:μσmM 107.32 0.11 107.16 107.46 | F:μσmM 37.4 1.2 36.0 39.0 | H 0.000 | V 65.590 | pL -8.115 | vL 139.835 | ∇ 2.733\n",
            "U 212 | F 434176 | FPS 1352 | D 363 | rR:μσmM 107.33 0.11 107.16 107.46 | F:μσmM 37.2 1.1 36.0 39.0 | H 0.000 | V 65.868 | pL -8.494 | vL 145.194 | ∇ 0.977\n",
            "U 213 | F 436224 | FPS 1304 | D 365 | rR:μσmM 107.37 0.10 107.16 107.46 | F:μσmM 36.9 1.0 36.0 39.0 | H 0.000 | V 66.166 | pL -8.165 | vL 141.004 | ∇ 3.044\n",
            "U 214 | F 438272 | FPS 1350 | D 366 | rR:μσmM 107.34 0.11 107.16 107.46 | F:μσmM 37.2 1.2 36.0 39.0 | H 0.000 | V 66.351 | pL -8.374 | vL 144.782 | ∇ 31.500\n",
            "U 215 | F 440320 | FPS 0874 | D 368 | rR:μσmM 107.35 0.09 107.16 107.46 | F:μσmM 37.1 0.9 36.0 39.0 | H 0.000 | V 66.717 | pL -7.639 | vL 128.483 | ∇ 2.212\n",
            "U 216 | F 442368 | FPS 1039 | D 370 | rR:μσmM 107.35 0.09 107.16 107.46 | F:μσmM 37.1 0.9 36.0 39.0 | H 0.000 | V 66.901 | pL -7.954 | vL 133.448 | ∇ 1.822\n",
            "U 217 | F 444416 | FPS 1338 | D 372 | rR:μσmM 107.34 0.10 107.16 107.46 | F:μσmM 37.1 1.0 36.0 39.0 | H 0.000 | V 67.162 | pL -7.829 | vL 125.375 | ∇ 6.689\n",
            "U 218 | F 446464 | FPS 1334 | D 373 | rR:μσmM 107.33 0.10 107.16 107.46 | F:μσmM 37.3 1.0 36.0 39.0 | H 0.000 | V 67.344 | pL -7.898 | vL 130.449 | ∇ 7.294\n",
            "U 219 | F 448512 | FPS 1233 | D 375 | rR:μσmM 107.35 0.09 107.16 107.46 | F:μσmM 37.1 0.9 36.0 39.0 | H 0.000 | V 67.632 | pL -7.581 | vL 120.542 | ∇ 1.100\n",
            "U 220 | F 450560 | FPS 1269 | D 377 | rR:μσmM 107.34 0.10 107.16 107.46 | F:μσmM 37.2 1.0 36.0 39.0 | H 0.000 | V 67.890 | pL -7.240 | vL 117.700 | ∇ 2.243\n",
            "Status saved\n",
            "U 221 | F 452608 | FPS 1374 | D 378 | rR:μσmM 107.36 0.10 107.16 107.46 | F:μσmM 37.0 1.0 36.0 39.0 | H 0.000 | V 68.028 | pL -7.471 | vL 119.491 | ∇ 1.053\n",
            "U 222 | F 454656 | FPS 1137 | D 380 | rR:μσmM 107.34 0.10 107.16 107.46 | F:μσmM 37.2 1.0 36.0 39.0 | H 0.001 | V 68.289 | pL -7.404 | vL 120.024 | ∇ 1.639\n",
            "U 223 | F 456704 | FPS 0850 | D 382 | rR:μσmM 107.35 0.11 107.16 107.46 | F:μσmM 37.1 1.1 36.0 39.0 | H 0.000 | V 68.503 | pL -7.303 | vL 113.813 | ∇ 6.143\n",
            "U 224 | F 458752 | FPS 1207 | D 384 | rR:μσmM 107.32 0.11 107.16 107.46 | F:μσmM 37.4 1.1 36.0 39.0 | H 0.001 | V 68.715 | pL -7.042 | vL 108.712 | ∇ 2.125\n",
            "U 225 | F 460800 | FPS 1312 | D 386 | rR:μσmM 107.34 0.10 107.16 107.46 | F:μσmM 37.2 1.0 36.0 39.0 | H 0.001 | V 69.006 | pL -6.914 | vL 106.701 | ∇ 3.095\n",
            "U 226 | F 462848 | FPS 1245 | D 387 | rR:μσmM 107.35 0.10 107.16 107.46 | F:μσmM 37.1 1.0 36.0 39.0 | H 0.001 | V 69.426 | pL -6.958 | vL 107.799 | ∇ 1.179\n",
            "U 227 | F 464896 | FPS 1308 | D 389 | rR:μσmM 107.36 0.10 107.16 107.46 | F:μσmM 37.0 1.0 36.0 39.0 | H 0.001 | V 69.682 | pL -6.651 | vL 101.467 | ∇ 11.137\n",
            "U 228 | F 466944 | FPS 1292 | D 391 | rR:μσmM 107.32 0.12 107.16 107.46 | F:μσmM 37.4 1.2 36.0 39.0 | H 0.004 | V 69.914 | pL -6.549 | vL 98.606 | ∇ 3.402\n",
            "U 229 | F 468992 | FPS 1303 | D 392 | rR:μσmM 107.34 0.11 107.16 107.46 | F:μσmM 37.2 1.1 36.0 39.0 | H 0.000 | V 70.135 | pL -6.385 | vL 95.384 | ∇ 3.019\n",
            "U 230 | F 471040 | FPS 0861 | D 394 | rR:μσmM 107.32 0.11 107.16 107.46 | F:μσmM 37.4 1.1 36.0 39.0 | H 0.000 | V 70.302 | pL -6.180 | vL 95.073 | ∇ 14.655\n",
            "Status saved\n",
            "U 231 | F 473088 | FPS 1102 | D 396 | rR:μσmM 107.33 0.12 107.16 107.46 | F:μσmM 37.3 1.2 36.0 39.0 | H 0.000 | V 70.734 | pL -6.327 | vL 92.066 | ∇ 18.090\n",
            "U 232 | F 475136 | FPS 1257 | D 398 | rR:μσmM 107.35 0.11 107.16 107.46 | F:μσmM 37.1 1.1 36.0 39.0 | H 0.000 | V 70.998 | pL -5.991 | vL 88.556 | ∇ 1.168\n",
            "U 233 | F 477184 | FPS 1331 | D 400 | rR:μσmM 107.34 0.10 107.16 107.46 | F:μσmM 37.2 1.0 36.0 39.0 | H 0.000 | V 71.257 | pL -6.331 | vL 87.745 | ∇ 0.470\n",
            "U 234 | F 479232 | FPS 1363 | D 401 | rR:μσmM 107.31 0.12 107.16 107.46 | F:μσmM 37.5 1.2 36.0 39.0 | H 0.001 | V 71.371 | pL -5.388 | vL 77.153 | ∇ 1.880\n",
            "U 235 | F 481280 | FPS 1267 | D 403 | rR:μσmM 107.30 0.11 107.16 107.46 | F:μσmM 37.5 1.1 36.0 39.0 | H 0.001 | V 71.543 | pL -5.427 | vL 79.573 | ∇ 3.593\n",
            "U 236 | F 483328 | FPS 1294 | D 404 | rR:μσmM 107.32 0.12 107.16 107.46 | F:μσmM 37.3 1.2 36.0 39.0 | H 0.001 | V 71.770 | pL -5.517 | vL 77.352 | ∇ 3.133\n",
            "U 237 | F 485376 | FPS 1098 | D 406 | rR:μσmM 107.34 0.10 107.16 107.46 | F:μσmM 37.2 1.0 36.0 39.0 | H 0.001 | V 71.947 | pL -5.634 | vL 77.867 | ∇ 16.748\n",
            "U 238 | F 487424 | FPS 0880 | D 408 | rR:μσmM 107.34 0.11 107.16 107.46 | F:μσmM 37.2 1.1 36.0 39.0 | H 0.000 | V 72.142 | pL -5.579 | vL 76.025 | ∇ 1.392\n",
            "U 239 | F 489472 | FPS 1407 | D 410 | rR:μσmM 107.34 0.10 107.16 107.46 | F:μσmM 37.2 1.0 36.0 39.0 | H 0.000 | V 72.347 | pL -5.426 | vL 74.467 | ∇ 3.282\n",
            "U 240 | F 491520 | FPS 1326 | D 411 | rR:μσmM 107.34 0.10 107.16 107.46 | F:μσmM 37.2 1.0 36.0 39.0 | H 0.000 | V 72.506 | pL -5.359 | vL 75.183 | ∇ 2.162\n",
            "Status saved\n",
            "U 241 | F 493568 | FPS 1381 | D 413 | rR:μσmM 107.31 0.12 107.16 107.46 | F:μσmM 37.5 1.2 36.0 39.0 | H 0.001 | V 72.762 | pL -4.952 | vL 69.967 | ∇ 2.272\n",
            "U 242 | F 495616 | FPS 1265 | D 415 | rR:μσmM 107.31 0.12 107.16 107.46 | F:μσmM 37.5 1.2 36.0 39.0 | H 0.001 | V 73.037 | pL -4.990 | vL 68.619 | ∇ 1.661\n",
            "U 243 | F 497664 | FPS 1271 | D 416 | rR:μσmM 107.36 0.11 107.16 107.46 | F:μσmM 37.0 1.1 36.0 39.0 | H 0.000 | V 73.266 | pL -4.911 | vL 64.620 | ∇ 1.452\n",
            "U 244 | F 499712 | FPS 1310 | D 418 | rR:μσmM 107.34 0.11 107.16 107.46 | F:μσmM 37.2 1.1 36.0 39.0 | H 0.000 | V 73.424 | pL -4.990 | vL 65.992 | ∇ 1.398\n",
            "U 245 | F 501760 | FPS 0929 | D 420 | rR:μσmM 107.34 0.12 107.16 107.46 | F:μσmM 37.1 1.2 36.0 39.0 | H 0.000 | V 73.688 | pL -4.644 | vL 59.807 | ∇ 1.391\n",
            "U 246 | F 503808 | FPS 1002 | D 422 | rR:μσmM 107.32 0.11 107.16 107.46 | F:μσmM 37.4 1.1 36.0 39.0 | H 0.001 | V 73.923 | pL -4.627 | vL 60.096 | ∇ 2.352\n",
            "U 247 | F 505856 | FPS 1277 | D 424 | rR:μσmM 107.34 0.11 107.16 107.46 | F:μσmM 37.2 1.1 36.0 39.0 | H 0.000 | V 74.346 | pL -4.866 | vL 58.464 | ∇ 0.828\n",
            "U 248 | F 507904 | FPS 1255 | D 425 | rR:μσmM 107.33 0.11 107.16 107.46 | F:μσmM 37.3 1.1 36.0 39.0 | H 0.001 | V 74.533 | pL -4.299 | vL 54.495 | ∇ 1.764\n",
            "U 249 | F 509952 | FPS 1282 | D 427 | rR:μσmM 107.33 0.11 107.16 107.46 | F:μσmM 37.3 1.1 36.0 39.0 | H 0.001 | V 74.799 | pL -4.316 | vL 52.208 | ∇ 1.857\n",
            "U 250 | F 512000 | FPS 1360 | D 428 | rR:μσmM 107.35 0.11 107.16 107.46 | F:μσmM 37.1 1.1 36.0 39.0 | H 0.001 | V 74.931 | pL -4.159 | vL 53.078 | ∇ 2.563\n",
            "Status saved\n",
            "U 251 | F 514048 | FPS 1286 | D 430 | rR:μσmM 107.36 0.11 107.16 107.46 | F:μσmM 37.0 1.1 36.0 39.0 | H 0.001 | V 75.250 | pL -3.966 | vL 48.503 | ∇ 2.221\n",
            "U 252 | F 516096 | FPS 1151 | D 432 | rR:μσmM 107.33 0.10 107.16 107.46 | F:μσmM 37.3 1.0 36.0 39.0 | H 0.001 | V 75.336 | pL -3.929 | vL 50.375 | ∇ 2.609\n",
            "U 253 | F 518144 | FPS 0847 | D 434 | rR:μσmM 107.35 0.11 107.16 107.46 | F:μσmM 37.1 1.1 36.0 39.0 | H 0.001 | V 75.605 | pL -3.979 | vL 45.793 | ∇ 1.545\n",
            "U 254 | F 520192 | FPS 1285 | D 436 | rR:μσmM 107.34 0.11 107.16 107.46 | F:μσmM 37.2 1.1 36.0 39.0 | H 0.001 | V 75.850 | pL -3.711 | vL 45.723 | ∇ 4.069\n",
            "U 255 | F 522240 | FPS 1321 | D 437 | rR:μσmM 107.35 0.09 107.16 107.46 | F:μσmM 37.1 0.9 36.0 39.0 | H 0.001 | V 75.994 | pL -3.797 | vL 44.171 | ∇ 1.667\n",
            "U 256 | F 524288 | FPS 1268 | D 439 | rR:μσmM 107.34 0.11 107.16 107.46 | F:μσmM 37.2 1.1 36.0 39.0 | H 0.001 | V 76.227 | pL -3.491 | vL 40.962 | ∇ 1.580\n",
            "U 257 | F 526336 | FPS 1277 | D 441 | rR:μσmM 107.36 0.10 107.16 107.46 | F:μσmM 37.0 1.0 36.0 39.0 | H 0.001 | V 76.383 | pL -3.619 | vL 41.336 | ∇ 1.828\n",
            "U 258 | F 528384 | FPS 1276 | D 442 | rR:μσmM 107.34 0.11 107.16 107.46 | F:μσmM 37.2 1.1 36.0 39.0 | H 0.001 | V 76.664 | pL -3.517 | vL 38.252 | ∇ 1.211\n",
            "U 259 | F 530432 | FPS 1354 | D 444 | rR:μσmM 107.32 0.12 107.16 107.46 | F:μσmM 37.4 1.2 36.0 39.0 | H 0.001 | V 76.802 | pL -3.575 | vL 38.745 | ∇ 1.148\n",
            "U 260 | F 532480 | FPS 0895 | D 446 | rR:μσmM 107.32 0.11 107.16 107.46 | F:μσmM 37.4 1.1 36.0 39.0 | H 0.001 | V 76.999 | pL -3.404 | vL 35.980 | ∇ 0.962\n",
            "Status saved\n",
            "U 261 | F 534528 | FPS 1092 | D 448 | rR:μσmM 107.34 0.11 107.16 107.46 | F:μσmM 37.2 1.1 36.0 39.0 | H 0.001 | V 77.252 | pL -3.081 | vL 34.328 | ∇ 1.764\n",
            "U 262 | F 536576 | FPS 1305 | D 449 | rR:μσmM 107.33 0.11 107.16 107.46 | F:μσmM 37.3 1.1 36.0 39.0 | H 0.002 | V 77.430 | pL -3.283 | vL 33.082 | ∇ 1.068\n",
            "U 263 | F 538624 | FPS 1304 | D 451 | rR:μσmM 107.35 0.10 107.16 107.46 | F:μσmM 37.1 1.0 36.0 39.0 | H 0.001 | V 77.713 | pL -2.818 | vL 31.668 | ∇ 1.955\n",
            "U 264 | F 540672 | FPS 1314 | D 453 | rR:μσmM 107.33 0.10 107.16 107.46 | F:μσmM 37.3 1.0 36.0 39.0 | H 0.001 | V 77.974 | pL -2.993 | vL 29.992 | ∇ 0.891\n",
            "U 265 | F 542720 | FPS 1314 | D 454 | rR:μσmM 107.37 0.08 107.16 107.46 | F:μσmM 36.9 0.8 36.0 39.0 | H 0.006 | V 78.183 | pL -2.845 | vL 28.556 | ∇ 0.992\n",
            "U 266 | F 544768 | FPS 1277 | D 456 | rR:μσmM 107.36 0.07 107.26 107.46 | F:μσmM 37.0 0.7 36.0 38.0 | H 0.001 | V 78.517 | pL -2.993 | vL 27.786 | ∇ 0.724\n",
            "U 267 | F 546816 | FPS 1132 | D 458 | rR:μσmM 107.36 0.08 107.26 107.46 | F:μσmM 37.0 0.8 36.0 38.0 | H 0.006 | V 78.593 | pL -2.619 | vL 25.977 | ∇ 1.755\n",
            "U 268 | F 548864 | FPS 0856 | D 460 | rR:μσmM 107.36 0.06 107.26 107.46 | F:μσmM 37.0 0.6 36.0 38.0 | H 0.001 | V 78.878 | pL -2.744 | vL 24.798 | ∇ 1.463\n",
            "U 269 | F 550912 | FPS 1294 | D 461 | rR:μσmM 107.36 0.07 107.26 107.46 | F:μσmM 37.0 0.7 36.0 38.0 | H 0.001 | V 79.012 | pL -2.386 | vL 23.131 | ∇ 0.976\n",
            "U 270 | F 552960 | FPS 1292 | D 463 | rR:μσmM 107.37 0.08 107.26 107.46 | F:μσmM 36.9 0.8 36.0 38.0 | H 0.001 | V 79.156 | pL -2.115 | vL 22.503 | ∇ 2.425\n",
            "Status saved\n",
            "U 271 | F 555008 | FPS 1327 | D 465 | rR:μσmM 107.36 0.07 107.26 107.46 | F:μσmM 37.0 0.7 36.0 38.0 | H 0.001 | V 79.364 | pL -2.429 | vL 19.991 | ∇ 1.009\n",
            "U 272 | F 557056 | FPS 1308 | D 466 | rR:μσmM 107.37 0.06 107.26 107.46 | F:μσmM 36.8 0.6 36.0 38.0 | H 0.001 | V 79.402 | pL -2.141 | vL 20.224 | ∇ 2.534\n",
            "U 273 | F 559104 | FPS 1397 | D 468 | rR:μσmM 107.37 0.07 107.26 107.46 | F:μσmM 36.9 0.7 36.0 38.0 | H 0.001 | V 79.608 | pL -2.385 | vL 19.247 | ∇ 1.236\n",
            "U 274 | F 561152 | FPS 1359 | D 469 | rR:μσmM 107.35 0.07 107.26 107.46 | F:μσmM 37.1 0.7 36.0 38.0 | H 0.003 | V 80.031 | pL -2.177 | vL 17.776 | ∇ 1.485\n",
            "U 275 | F 563200 | FPS 0870 | D 472 | rR:μσmM 107.35 0.07 107.26 107.46 | F:μσmM 37.1 0.7 36.0 38.0 | H 0.004 | V 80.176 | pL -2.256 | vL 16.626 | ∇ 0.481\n",
            "U 276 | F 565248 | FPS 1083 | D 473 | rR:μσmM 107.35 0.06 107.26 107.46 | F:μσmM 37.1 0.6 36.0 38.0 | H 0.006 | V 80.454 | pL -1.853 | vL 14.315 | ∇ 1.054\n",
            "U 277 | F 567296 | FPS 1273 | D 475 | rR:μσmM 107.36 0.05 107.26 107.46 | F:μσmM 37.0 0.5 36.0 38.0 | H 0.002 | V 80.741 | pL -2.046 | vL 14.642 | ∇ 0.859\n",
            "U 278 | F 569344 | FPS 1308 | D 477 | rR:μσmM 107.37 0.07 107.26 107.46 | F:μσmM 36.9 0.7 36.0 38.0 | H 0.004 | V 81.031 | pL -1.677 | vL 13.176 | ∇ 1.537\n",
            "U 279 | F 571392 | FPS 1309 | D 478 | rR:μσmM 107.36 0.06 107.26 107.46 | F:μσmM 37.0 0.6 36.0 38.0 | H 0.008 | V 81.092 | pL -1.724 | vL 12.629 | ∇ 1.333\n",
            "U 280 | F 573440 | FPS 1277 | D 480 | rR:μσmM 107.38 0.06 107.26 107.46 | F:μσmM 36.8 0.6 36.0 38.0 | H 0.007 | V 81.361 | pL -1.591 | vL 10.825 | ∇ 1.329\n",
            "Status saved\n",
            "U 281 | F 575488 | FPS 1246 | D 481 | rR:μσmM 107.39 0.05 107.36 107.46 | F:μσmM 36.7 0.5 36.0 37.0 | H 0.004 | V 81.532 | pL -1.629 | vL 10.721 | ∇ 1.445\n",
            "U 282 | F 577536 | FPS 1106 | D 483 | rR:μσmM 107.39 0.05 107.36 107.46 | F:μσmM 36.7 0.5 36.0 37.0 | H 0.003 | V 81.453 | pL -1.444 | vL 9.042 | ∇ 1.225\n",
            "U 283 | F 579584 | FPS 0897 | D 486 | rR:μσmM 107.39 0.05 107.36 107.46 | F:μσmM 36.7 0.5 36.0 37.0 | H 0.008 | V 81.817 | pL -1.491 | vL 9.302 | ∇ 0.798\n",
            "U 284 | F 581632 | FPS 1256 | D 487 | rR:μσmM 107.39 0.05 107.36 107.46 | F:μσmM 36.7 0.5 36.0 37.0 | H 0.003 | V 81.855 | pL -1.314 | vL 7.899 | ∇ 1.037\n",
            "U 285 | F 583680 | FPS 1282 | D 489 | rR:μσmM 107.38 0.04 107.36 107.46 | F:μσmM 36.8 0.4 36.0 37.0 | H 0.004 | V 82.043 | pL -1.123 | vL 7.422 | ∇ 1.638\n",
            "U 286 | F 585728 | FPS 1327 | D 490 | rR:μσmM 107.39 0.05 107.36 107.46 | F:μσmM 36.6 0.5 36.0 37.0 | H 0.007 | V 82.257 | pL -1.269 | vL 6.706 | ∇ 1.300\n",
            "U 287 | F 587776 | FPS 1321 | D 492 | rR:μσmM 107.39 0.05 107.36 107.55 | F:μσmM 36.7 0.5 35.0 37.0 | H 0.020 | V 82.542 | pL -1.071 | vL 5.878 | ∇ 1.511\n",
            "U 288 | F 589824 | FPS 1313 | D 493 | rR:μσmM 107.41 0.08 107.36 107.65 | F:μσmM 36.5 0.8 34.0 37.0 | H 0.026 | V 82.794 | pL -1.095 | vL 5.466 | ∇ 0.706\n",
            "U 289 | F 591872 | FPS 1278 | D 495 | rR:μσmM 107.45 0.10 107.36 107.65 | F:μσmM 36.0 1.0 34.0 37.0 | H 0.016 | V 83.172 | pL -1.127 | vL 5.018 | ∇ 1.315\n",
            "U 290 | F 593920 | FPS 0886 | D 497 | rR:μσmM 107.54 0.08 107.36 107.65 | F:μσmM 35.1 0.9 34.0 37.0 | H 0.004 | V 83.321 | pL -1.244 | vL 4.536 | ∇ 0.953\n",
            "Status saved\n",
            "U 291 | F 595968 | FPS 1135 | D 499 | rR:μσmM 107.58 0.05 107.46 107.65 | F:μσmM 34.8 0.5 34.0 36.0 | H 0.003 | V 83.767 | pL -1.247 | vL 4.041 | ∇ 0.290\n",
            "U 292 | F 598016 | FPS 1277 | D 501 | rR:μσmM 107.57 0.18 106.30 107.65 | F:μσmM 34.9 2.0 34.0 49.0 | H 0.003 | V 83.948 | pL -0.866 | vL 4.314 | ∇ 1.331\n",
            "U 293 | F 600064 | FPS 1311 | D 502 | rR:μσmM 107.57 0.04 107.55 107.65 | F:μσmM 34.8 0.4 34.0 35.0 | H 0.002 | V 84.052 | pL -0.949 | vL 2.922 | ∇ 0.842\n",
            "U 294 | F 602112 | FPS 1380 | D 504 | rR:μσmM 107.58 0.04 107.55 107.65 | F:μσmM 34.7 0.4 34.0 35.0 | H 0.003 | V 84.332 | pL -0.870 | vL 2.325 | ∇ 0.703\n",
            "U 295 | F 604160 | FPS 1273 | D 505 | rR:μσmM 107.52 0.37 104.76 107.65 | F:μσmM 35.4 4.1 34.0 66.0 | H 0.008 | V 84.573 | pL -0.463 | vL 3.721 | ∇ 1.817\n",
            "U 296 | F 606208 | FPS 1290 | D 507 | rR:μσmM 107.53 0.07 107.35 107.65 | F:μσmM 35.3 0.7 34.0 37.0 | H 0.029 | V 84.620 | pL -0.439 | vL 1.507 | ∇ 0.903\n",
            "U 297 | F 608256 | FPS 1184 | D 509 | rR:μσmM 107.56 0.07 107.37 107.65 | F:μσmM 35.0 0.7 34.0 37.0 | H 0.015 | V 84.910 | pL -0.579 | vL 1.238 | ∇ 0.397\n",
            "U 298 | F 610304 | FPS 0861 | D 511 | rR:μσmM 107.58 0.05 107.46 107.65 | F:μσmM 34.7 0.5 34.0 36.0 | H 0.004 | V 85.166 | pL -0.533 | vL 0.994 | ∇ 1.062\n",
            "U 299 | F 612352 | FPS 1311 | D 513 | rR:μσmM 107.59 0.05 107.55 107.65 | F:μσmM 34.6 0.5 34.0 35.0 | H 0.004 | V 85.258 | pL -0.443 | vL 0.762 | ∇ 0.961\n",
            "U 300 | F 614400 | FPS 1332 | D 514 | rR:μσmM 107.57 0.04 107.55 107.65 | F:μσmM 34.8 0.4 34.0 35.0 | H 0.003 | V 85.400 | pL -0.352 | vL 0.524 | ∇ 0.111\n",
            "Status saved\n",
            "Dense_Medium_2 took 8.0 minutes and 36.94784712791443 seconds\n"
          ]
        }
      ],
      "source": [
        "!cd /usr/local/lib/python3.10/dist-packages/minigrid/envs/ && \\\n",
        "python3 MyEnvs.py\n",
        "\n",
        "import time\n",
        "reset(envs)\n",
        "# envs = ['Dense_Hard']\n",
        "for env_name in envs:\n",
        "    start = tic()\n",
        "    env_dir = 'MiniGrid-' + env_name + '-v0'\n",
        "    !cd /usr/local/lib/python3.10/dist-packages/rl-starter-files/ && \\\n",
        "    python3 -m scripts.train --algo {algo} --env {env_dir} --frames {frames} --model {env_name} --recurrence {recurrence}\n",
        "    toc(start, env_name)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XDAy-MMWpzOE"
      },
      "source": [
        "### Graphs"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "id": "39d6-lJJJdtq"
      },
      "outputs": [],
      "source": [
        "import csv\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "def data_extract(envs, data_label):\n",
        "\n",
        "    storage_data = []\n",
        "    new_dir_names = []\n",
        "\n",
        "    for env_name in envs:\n",
        "        file_name = '/usr/local/lib/python3.10/dist-packages/rl-starter-files/storage/' + env_name + '/log.csv'\n",
        "        file = open(file_name)\n",
        "        file = csv.reader(file)\n",
        "        header = next(file)\n",
        "\n",
        "        data = []\n",
        "        for d in file:\n",
        "            data.append(d)\n",
        "        for i in range(len(header)):\n",
        "            if header[i] == data_label: r_index = i\n",
        "\n",
        "        data_hist = []\n",
        "        for epoch in range(len(data)):\n",
        "            sample = data[epoch][r_index]\n",
        "            if sample != data_label:\n",
        "                data_hist.append(round(float(sample), 5))\n",
        "\n",
        "        storage_data.append(np.array(data_hist))\n",
        "    return storage_data\n",
        "\n",
        "data_rrmean = data_extract(envs, 'rreturn_mean')\n",
        "data_rrstd = data_extract(envs, 'rreturn_std')\n",
        "# data_rrmax = data_extract(envs, 'rreturn_max')\n",
        "# data_rrmin = data_extract(envs, 'rreturn_min')\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6Eoga1f_yEwH",
        "outputId": "d9cdba10-ffc9-4936-ab6c-ddc2a18cf1a4"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(4, 300)\n",
            "(4, 300)\n",
            "<class 'numpy.ndarray'>\n"
          ]
        }
      ],
      "source": [
        "print(np.shape(data_rrmean))\n",
        "# print(np.shape(data_rrmax))\n",
        "# print(np.shape(data_rrmin))\n",
        "print(np.shape(data_rrstd))\n",
        "print(type(data_rrstd[0]))\n",
        "# print(data_rrstd[0])\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "id": "yrdDhF9KJpff"
      },
      "outputs": [],
      "source": [
        "# Simple Representation\n",
        "def plotter(rrmean, rrstd):\n",
        "    for i in np.arange(0,len(rrmean),2):\n",
        "\n",
        "        # Find length of epochs (i.e. x-axis)\n",
        "        x_len = np.shape(rrmean)[1]\n",
        "        x = np.arange(0,x_len)\n",
        "\n",
        "        # Find values of mean+std and mean-std for dense and sparse\n",
        "        y_pos = np.add(rrmean[i], rrstd[i])\n",
        "        y_neg = np.subtract(rrmean[i], rrstd[i])\n",
        "        y_pos_ = np.add(rrmean[i+1], rrstd[i+1])\n",
        "        y_neg_ = np.subtract(rrmean[i+1], rrstd[i+1])\n",
        "\n",
        "        # Style properties\n",
        "        fig = plt.figure(figsize=(6,4), edgecolor='black',dpi=100)\n",
        "        title = env_names[int(i/2)]\n",
        "        ax = fig.add_axes([0,0,1,1], projection='rectilinear',\n",
        "        xlabel = 'Epochs',\n",
        "        ylabel = 'Mean Return', title=title, facecolor='w')\n",
        "        plt.style.use('seaborn')\n",
        "\n",
        "        # Plot for Dense with blue\n",
        "        plt.plot(rrmean[i], color='r', label='Sparse Rewarding')\n",
        "        plt.plot(y_pos, color='r', alpha=0.06)\n",
        "        plt.plot(y_neg, color='r', alpha=0.06)\n",
        "        plt.fill_between(x, y_pos, y_neg, color='r', alpha=0.4)\n",
        "\n",
        "        # Plot for Sparse with red\n",
        "        plt.plot(rrmean[i+1], color='b', label='Dense Rewarding')\n",
        "        plt.plot(y_pos_, color='b', alpha=0.06)\n",
        "        plt.plot(y_neg_, color='b', alpha=0.06)\n",
        "        plt.fill_between(x, y_pos_, y_neg_, color='royalblue', alpha=0.4)\n",
        "\n",
        "        plt.legend()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "Gpz54o5hXkYO",
        "outputId": "0eef5232-a8cb-422b-829a-bb4f3c41c0bb"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "['Sparse_Easy', 'Dense_Easy', 'Sparse_Medium_2', 'Dense_Medium_2']\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-13-a8b275055f74>:21: MatplotlibDeprecationWarning: The seaborn styles shipped by Matplotlib are deprecated since 3.6, as they no longer correspond to the styles shipped by seaborn. However, they will remain available as 'seaborn-v0_8-<style>'. Alternatively, directly use the seaborn API instead.\n",
            "  plt.style.use('seaborn')\n",
            "<ipython-input-13-a8b275055f74>:21: MatplotlibDeprecationWarning: The seaborn styles shipped by Matplotlib are deprecated since 3.6, as they no longer correspond to the styles shipped by seaborn. However, they will remain available as 'seaborn-v0_8-<style>'. Alternatively, directly use the seaborn API instead.\n",
            "  plt.style.use('seaborn')\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 600x400 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 600x400 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "# plotter(data_rrmean, data_rrmax, data_rrmin)\n",
        "plotter(data_rrmean, data_rrstd)\n",
        "print(envs)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TXt6-dzIP7Z5",
        "outputId": "40708c8e-cc70-4b22-e7a7-51ffadc5d16a"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "events.out.tfevents.1695825021.6300c07d12ed  log.csv  log.txt  status.pt\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/ipykernel/ipkernel.py:283: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.\n",
            "  and should_run_async(code)\n"
          ]
        }
      ],
      "source": [
        "!cd /usr/local/lib/python3.10/dist-packages/rl-starter-files/storage/{env_name}/ && ls"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.8.2"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}