ML0101EN-Proj-Loan-py-v1.ipynb

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   "source": [
    "<p style=\"text-align:center\">\n",
    "    <a href=\"https://skills.network/?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDeveloperSkillsNetworkML0101ENSkillsNetwork20718538-2022-01-01\" target=\"_blank\">\n",
    "    <img src=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/assets/logos/SN_web_lightmode.png\" width=\"200\" alt=\"Skills Network Logo\"  />\n",
    "    </a>\n",
    "</p>\n",
    "\n",
    "<h1 align=\"center\"><font size=\"5\">Classification with Python</font></h1>\n"
   ]
  },
  {
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   "source": [
    "In this notebook we try to practice all the classification algorithms that we have learned in this course.\n",
    "\n",
    "We load a dataset using Pandas library, and apply the following algorithms, and find the best one for this specific dataset by accuracy evaluation methods.\n",
    "\n",
    "Let's first load required libraries:\n"
   ]
  },
  {
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   "execution_count": 1,
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   "outputs": [
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     "text": [
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/utils/validation.py:37: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n",
      "  LARGE_SPARSE_SUPPORTED = LooseVersion(scipy_version) >= '0.14.0'\n"
     ]
    }
   ],
   "source": [
    "import itertools\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.ticker import NullFormatter\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.ticker as ticker\n",
    "from sklearn import preprocessing\n",
    "%matplotlib inline"
   ]
  },
  {
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   "source": [
    "### About dataset\n"
   ]
  },
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   "source": [
    "This dataset is about past loans. The **Loan_train.csv** data set includes details of 346 customers whose loan are already paid off or defaulted. It includes following fields:\n",
    "\n",
    "| Field          | Description                                                                           |\n",
    "| -------------- | ------------------------------------------------------------------------------------- |\n",
    "| Loan_status    | Whether a loan is paid off on in collection                                           |\n",
    "| Principal      | Basic principal loan amount at the                                                    |\n",
    "| Terms          | Origination terms which can be weekly (7 days), biweekly, and monthly payoff schedule |\n",
    "| Effective_date | When the loan got originated and took effects                                         |\n",
    "| Due_date       | Since it’s one-time payoff schedule, each loan has one single due date                |\n",
    "| Age            | Age of applicant                                                                      |\n",
    "| Education      | Education of applicant                                                                |\n",
    "| Gender         | The gender of applicant                                                               |\n"
   ]
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   },
   "source": [
    "Let's download the dataset\n"
   ]
  },
  {
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     "text": [
      "--2022-06-03 03:35:47--  https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-ML0101EN-SkillsNetwork/labs/FinalModule_Coursera/data/loan_train.csv\n",
      "Resolving cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud (cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud)... 169.63.118.104\n",
      "Connecting to cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud (cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud)|169.63.118.104|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 23101 (23K) [text/csv]\n",
      "Saving to: ‘loan_train.csv’\n",
      "\n",
      "loan_train.csv      100%[===================>]  22.56K  --.-KB/s    in 0.05s   \n",
      "\n",
      "2022-06-03 03:35:47 (432 KB/s) - ‘loan_train.csv’ saved [23101/23101]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "!wget -O loan_train.csv https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-ML0101EN-SkillsNetwork/labs/FinalModule_Coursera/data/loan_train.csv"
   ]
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   },
   "source": [
    "### Load Data From CSV File\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
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       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Unnamed: 0.1</th>\n",
       "      <th>loan_status</th>\n",
       "      <th>Principal</th>\n",
       "      <th>terms</th>\n",
       "      <th>effective_date</th>\n",
       "      <th>due_date</th>\n",
       "      <th>age</th>\n",
       "      <th>education</th>\n",
       "      <th>Gender</th>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PAIDOFF</td>\n",
       "      <td>1000</td>\n",
       "      <td>30</td>\n",
       "      <td>9/8/2016</td>\n",
       "      <td>10/7/2016</td>\n",
       "      <td>45</td>\n",
       "      <td>High School or Below</td>\n",
       "      <td>male</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>PAIDOFF</td>\n",
       "      <td>1000</td>\n",
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       "      <td>Bechalor</td>\n",
       "      <td>female</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>PAIDOFF</td>\n",
       "      <td>1000</td>\n",
       "      <td>15</td>\n",
       "      <td>9/8/2016</td>\n",
       "      <td>9/22/2016</td>\n",
       "      <td>27</td>\n",
       "      <td>college</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>PAIDOFF</td>\n",
       "      <td>1000</td>\n",
       "      <td>30</td>\n",
       "      <td>9/9/2016</td>\n",
       "      <td>10/8/2016</td>\n",
       "      <td>28</td>\n",
       "      <td>college</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>PAIDOFF</td>\n",
       "      <td>1000</td>\n",
       "      <td>30</td>\n",
       "      <td>9/9/2016</td>\n",
       "      <td>10/8/2016</td>\n",
       "      <td>29</td>\n",
       "      <td>college</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "   Unnamed: 0  Unnamed: 0.1 loan_status  Principal  terms effective_date  \\\n",
       "0           0             0     PAIDOFF       1000     30       9/8/2016   \n",
       "1           2             2     PAIDOFF       1000     30       9/8/2016   \n",
       "2           3             3     PAIDOFF       1000     15       9/8/2016   \n",
       "3           4             4     PAIDOFF       1000     30       9/9/2016   \n",
       "4           6             6     PAIDOFF       1000     30       9/9/2016   \n",
       "\n",
       "    due_date  age             education  Gender  \n",
       "0  10/7/2016   45  High School or Below    male  \n",
       "1  10/7/2016   33              Bechalor  female  \n",
       "2  9/22/2016   27               college    male  \n",
       "3  10/8/2016   28               college  female  \n",
       "4  10/8/2016   29               college    male  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('loan_train.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(346, 10)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "df.shape"
   ]
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   },
   "source": [
    "### Convert to date time object\n"
   ]
  },
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       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Unnamed: 0.1</th>\n",
       "      <th>loan_status</th>\n",
       "      <th>Principal</th>\n",
       "      <th>terms</th>\n",
       "      <th>effective_date</th>\n",
       "      <th>due_date</th>\n",
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       "      <td>2016-10-07</td>\n",
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       "      <td>4</td>\n",
       "      <td>PAIDOFF</td>\n",
       "      <td>1000</td>\n",
       "      <td>30</td>\n",
       "      <td>2016-09-09</td>\n",
       "      <td>2016-10-08</td>\n",
       "      <td>28</td>\n",
       "      <td>college</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>PAIDOFF</td>\n",
       "      <td>1000</td>\n",
       "      <td>30</td>\n",
       "      <td>2016-09-09</td>\n",
       "      <td>2016-10-08</td>\n",
       "      <td>29</td>\n",
       "      <td>college</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "   Unnamed: 0  Unnamed: 0.1 loan_status  Principal  terms effective_date  \\\n",
       "0           0             0     PAIDOFF       1000     30     2016-09-08   \n",
       "1           2             2     PAIDOFF       1000     30     2016-09-08   \n",
       "2           3             3     PAIDOFF       1000     15     2016-09-08   \n",
       "3           4             4     PAIDOFF       1000     30     2016-09-09   \n",
       "4           6             6     PAIDOFF       1000     30     2016-09-09   \n",
       "\n",
       "    due_date  age             education  Gender  \n",
       "0 2016-10-07   45  High School or Below    male  \n",
       "1 2016-10-07   33              Bechalor  female  \n",
       "2 2016-09-22   27               college    male  \n",
       "3 2016-10-08   28               college  female  \n",
       "4 2016-10-08   29               college    male  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['due_date'] = pd.to_datetime(df['due_date'])\n",
    "df['effective_date'] = pd.to_datetime(df['effective_date'])\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "# Data visualization and pre-processing\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "Let’s see how many of each class is in our data set\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
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    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PAIDOFF       260\n",
       "COLLECTION     86\n",
       "Name: loan_status, dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['loan_status'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "260 people have paid off the loan on time while 86 have gone into collection\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's plot some columns to underestand data better:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting package metadata (current_repodata.json): done\n",
      "Solving environment: failed with initial frozen solve. Retrying with flexible solve.\n",
      "Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.\n",
      "Collecting package metadata (repodata.json): done\n",
      "Solving environment: failed with initial frozen solve. Retrying with flexible solve.\n",
      "Solving environment: - \n",
      "Found conflicts! Looking for incompatible packages.\n",
      "This can take several minutes.  Press CTRL-C to abort.\n",
      "                                                                                              -             -failed\n",
      "\n",
      "UnsatisfiableError: The following specifications were found\n",
      "to be incompatible with the existing python installation in your environment:\n",
      "\n",
      "Specifications:\n",
      "\n",
      "  - h5py -> python[version='<3']\n",
      "  - tenacity -> python[version='>=3.5,<3.6.0a0']\n",
      "\n",
      "Your python: python~=3.7\n",
      "\n",
      "If python is on the left-most side of the chain, that's the version you've asked for.\n",
      "When python appears to the right, that indicates that the thing on the left is somehow\n",
      "not available for the python version you are constrained to. Note that conda will not\n",
      "change your python version to a different minor version unless you explicitly specify\n",
      "that.\n",
      "\n",
      "The following specifications were found to be incompatible with a past\n",
      "explicit spec that is not an explicit spec in this operation (pip):\n",
      "\n",
      "  - seaborn -> python[version='>=3.6'] -> pip\n",
      "\n",
      "The following specifications were found to be incompatible with each other:\n",
      "\n",
      "Output in format: Requested package -> Available versions\n",
      "\n",
      "Package sqlite conflicts for:\n",
      "python~=3.7 -> sqlite[version='>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "charset-normalizer -> python[version='>=3.5'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "pycparser -> python[version='>=3.6'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "termcolor -> python[version='>=3.10,<3.11.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.26.0,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0|>=3.27.2,<4.0a0|>=3.25.3,<4.0a0']\n",
      "pywavelets -> python[version='>=3.10,<3.11.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.32.3,<4.0a0|>=3.30.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "python-dateutil -> python -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "dash -> python -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "libopencv -> qt=5.12 -> sqlite[version='>=3.34.0,<4.0a0']\n",
      "qt -> nss[version='>=3.61,<4.0a0'] -> sqlite[version='>=3.37.0,<4.0a0|>=3.38.5,<4.0a0']\n",
      "imageio -> python[version='>=3'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "traitlets -> python[version='>=3.7'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "flask -> python[version='>=3.6'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "xlrd==1.2.0 -> python[version='>=3.7,<3.8.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.38.0,<4.0a0|>=3.30.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.2,<4.0a0|>=3.32.3,<4.0a0|>=3.38.3,<4.0a0']\n",
      "click -> python[version='>=3.10,<3.11.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0|>=3.32.3,<4.0a0|>=3.30.0,<4.0a0']\n",
      "pandas -> python[version='>=3.10,<3.11.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "ninja -> python -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "ibm_db==3.0.4 -> python[version='>=3.7,<3.8.0a0'] -> sqlite[version='>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.38.0,<4.0a0']\n",
      "seaborn -> python[version='>=3.6'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "ipykernel -> python[version='>=3.10,<3.11.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0|>=3.32.3,<4.0a0|>=3.30.0,<4.0a0']\n",
      "python_abi -> python=3.7 -> sqlite[version='>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.38.0,<4.0a0']\n",
      "typing_extensions -> python[version='>=3.6'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "pillow -> python[version='>=3.10,<3.11.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0|>=3.32.3,<4.0a0|>=3.30.0,<4.0a0']\n",
      "pyparsing -> python[version='>=3.6'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "pyzmq -> python[version='>=3.10,<3.11.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "pexpect -> python -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "tensorflow==1.14.0 -> python=3.6 -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.26.0,<4.0a0|>=3.29.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.38.0,<4.0a0|>=3.36.0,<4.0a0|>=3.27.2,<4.0a0|>=3.25.3,<4.0a0|>=3.30.0,<4.0a0']\n",
      "keras-preprocessing -> python[version='>=3.6'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "qt -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.3,<4.0a0|>=3.34.0,<4.0a0']\n",
      "entrypoints -> python[version='>=3.8,<3.9.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0|>=3.37.2,<4.0a0']\n",
      "tornado -> python[version='>=3.10,<3.11.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.26.0,<4.0a0|>=3.29.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0|>=3.32.3,<4.0a0|>=3.30.0,<4.0a0|>=3.27.2,<4.0a0|>=3.25.3,<4.0a0']\n",
      "jupyter_client -> python[version='>=3.10,<3.11.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "cytoolz -> python[version='>=3.10,<3.11.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "markdown -> python[version='>=3.10,<3.11.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.26.0,<4.0a0|>=3.29.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0|>=3.27.2,<4.0a0|>=3.25.3,<4.0a0|>=3.32.3,<4.0a0|>=3.30.0,<4.0a0']\n",
      "matplotlib-base -> python[version='>=3.8,<3.9.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0|>=3.37.2,<4.0a0']\n",
      "pygments -> python[version='>=3.5'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "scipy -> python[version='>=3.7,<3.8.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0|>=3.32.3,<4.0a0|>=3.30.0,<4.0a0|>=3.37.2,<4.0a0']\n",
      "pyproj -> proj[version='>=8.2.1'] -> sqlite[version='>=3.11|>=3.37.2,<4.0a0|>=3.38.2,<4.0a0|>=3.38.0,<4.0a0|>=3.36.0,<4.0a0|>=3.35.4,<4.0a0|>=3.33.0,<4.0a0|>=3.38.3,<4.0a0|>=3.32.3,<4.0a0|>=3.31.1,<4.0a0|>=3.30.1,<4.0a0|>=3.30.0,<4.0a0|>=3.37.0,<4.0a0|>=3.29.0,<4.0a0|>=3.26.0,<4.0a0|>=3.25.2,<4.0a0|>=3.24.0,<4.0a0|>=3.23.1,<4.0a0|>=3.22.0,<4.0a0|>=3.20.1,<4.0a0|>=3.27.2,<4.0a0|>=3.25.3,<4.0a0']\n",
      "ptyprocess -> python -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "nest-asyncio -> python[version='>=3.7,<3.8.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.38.0,<4.0a0|>=3.32.3,<4.0a0|>=3.30.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0|>=3.37.2,<4.0a0']\n",
      "grpcio -> python[version='>=3.9,<3.10.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0|>=3.37.2,<4.0a0']\n",
      "ipython -> python[version='>=3.9,<3.10.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0|>=3.37.2,<4.0a0']\n",
      "tqdm==4.60.0 -> python[version='>=2.7'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "tensorflow-estimator -> python -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "astor -> python[version='>=3.10,<3.11.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.26.0,<4.0a0|>=3.29.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0|>=3.27.2,<4.0a0|>=3.25.3,<4.0a0|>=3.32.3,<4.0a0|>=3.30.0,<4.0a0']\n",
      "six -> python -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "brotli-python -> python[version='>=3.8,<3.9.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.26.0,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.38.0,<4.0a0|>=3.27.2,<4.0a0|>=3.25.3,<4.0a0']\n",
      "google-pasta -> python -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "bottleneck -> python[version='>=3.8,<3.9.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0|>=3.37.2,<4.0a0']\n",
      "numexpr -> python[version='>=3.8,<3.9.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0|>=3.37.2,<4.0a0']\n",
      "unicodedata2 -> python[version='>=3.10,<3.11.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.26.0,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0|>=3.27.2,<4.0a0|>=3.25.3,<4.0a0']\n",
      "nss -> sqlite[version='>=3.31.1,<4.0a0|>=3.36.0,<4.0a0|>=3.37.0,<4.0a0|>=3.38.5,<4.0a0']\n",
      "h5py -> python[version='>=3.10,<3.11.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.32.3,<4.0a0|>=3.30.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "markupsafe -> python[version='>=3.10,<3.11.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.26.0,<4.0a0|>=3.29.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.32.3,<4.0a0|>=3.30.0,<4.0a0|>=3.27.2,<4.0a0|>=3.25.3,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "gast -> python -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "dask-core -> python[version='>=3.8'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "importlib-metadata -> python[version='>=3.10,<3.11.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.32.3,<4.0a0|>=3.30.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "tifffile -> python[version='>=3.7'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "kiwisolver -> python[version='>=3.8,<3.9.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0|>=3.37.2,<4.0a0']\n",
      "absl-py -> python -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "protobuf -> python[version='>=3.8,<3.9.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0|>=3.37.2,<4.0a0']\n",
      "prompt-toolkit -> python -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "jinja2 -> python[version='>=3.6'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "pyopenssl -> python[version='>=3.6'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "typing-extensions -> python -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "cython -> python[version='>=3.9,<3.10.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0|>=3.32.3,<4.0a0|>=3.30.0,<4.0a0|>=3.37.2,<4.0a0']\n",
      "pytz -> python -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "fonttools -> python[version='>=3.6'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "fsspec -> python[version='>=3.7'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "packaging -> python[version='>=3.6'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "munkres -> python -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "py-opencv -> python[version='>=3.7,<3.8.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.38.0,<4.0a0|>=3.30.0,<4.0a0']\n",
      "tensorflow-base -> python[version='>=3.9,<3.10.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "basemap==1.2.0 -> python[version='>=3.6,<3.7.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.26.0,<4.0a0|>=3.29.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.38.0,<4.0a0|>=3.36.0,<4.0a0|>=3.32.3,<4.0a0|>=3.30.0,<4.0a0|>=3.27.2,<4.0a0|>=3.25.3,<4.0a0']\n",
      "psutil -> python[version='>=3.10,<3.11.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "backports.functools_lru_cache -> python -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "jupyter-dash==0.4.0 -> python[version='>=3.5'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "pysocks -> python[version='>=3.7,<3.8.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.38.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0|>=3.32.3,<4.0a0|>=3.30.0,<4.0a0']\n",
      "brotlipy -> python[version='>=3.7,<3.8.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.38.0,<4.0a0|>=3.32.3,<4.0a0|>=3.30.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0|>=3.37.2,<4.0a0']\n",
      "cloudpickle -> python[version='>=3.6'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "idna -> python[version='>=3.5'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "setuptools -> python[version='>=3.10,<3.11.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "itsdangerous -> python[version='>=3.6'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "locket -> python[version='>=3.9,<3.10.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0|>=3.37.2,<4.0a0']\n",
      "olefile -> python[version='>=3.5,<3.6.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.35.4,<4.0a0|>=3.33.0,<4.0a0|>=3.31.1,<4.0a0|>=3.30.1,<4.0a0|>=3.29.0,<4.0a0|>=3.26.0,<4.0a0|>=3.25.2,<4.0a0|>=3.30.0,<4.0a0|>=3.27.2,<4.0a0|>=3.25.3,<4.0a0|>=3.38.0,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.2,<4.0a0|>=3.32.3,<4.0a0|>=3.38.3,<4.0a0']\n",
      "cryptography -> python[version='>=3.10,<3.11.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0|>=3.32.3,<4.0a0|>=3.30.0,<4.0a0']\n",
      "certifi -> python[version='>=3.7,<3.8.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.38.0,<4.0a0|>=3.32.3,<4.0a0|>=3.30.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0|>=3.37.2,<4.0a0']\n",
      "plotly -> python[version='>=3.6'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "jedi -> python[version='>=3.10,<3.11.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "imutils==0.5.4 -> python[version='>=3.7,<3.8.0a0'] -> sqlite[version='>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.38.0,<4.0a0']\n",
      "pyyaml -> python[version='>=3.7,<3.8.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0|>=3.32.3,<4.0a0|>=3.30.0,<4.0a0|>=3.37.2,<4.0a0']\n",
      "pyshp -> python -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "tenacity -> python[version='>=3.10,<3.11.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.26.0,<4.0a0|>=3.29.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.32.3,<4.0a0|>=3.30.0,<4.0a0|>=3.27.2,<4.0a0|>=3.25.3,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "zipp -> python[version='>=3.7'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "cffi -> python[version='>=3.10,<3.11.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0|>=3.32.3,<4.0a0|>=3.30.0,<4.0a0']\n",
      "ansi2html -> python[version='>=3.10,<3.11.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.26.0,<4.0a0|>=3.29.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.32.3,<4.0a0|>=3.30.0,<4.0a0|>=3.27.2,<4.0a0|>=3.25.3,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "tensorboard -> python[version='>=3.2'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "matplotlib-inline -> python[version='>=3.6'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "pip -> python[version='>=3.10,<3.11.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.26.0,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0|>=3.27.2,<4.0a0|>=3.25.3,<4.0a0']\n",
      "cycler -> python[version='>=3.6'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "flask-compress -> python[version='>=2.7'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "backports -> python -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "tensorflow-base -> sqlite[version='>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0']\n",
      "parso -> python[version='>=3.6'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "urllib3 -> python[version='>=3.9,<3.10.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0|>=3.37.2,<4.0a0']\n",
      "networkx -> python[version='>=3.8'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "pickleshare -> python[version='>=3'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "decorator -> python[version='>=3.5'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "werkzeug -> python[version='>=3.6'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "debugpy -> python[version='>=3.10,<3.11.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "wrapt -> python[version='>=3.10,<3.11.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "retrying -> python[version='>=3.6,<3.7.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.26.0,<4.0a0|>=3.29.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.38.0,<4.0a0|>=3.36.0,<4.0a0|>=3.27.2,<4.0a0|>=3.25.3,<4.0a0|>=3.30.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.2,<4.0a0|>=3.32.3,<4.0a0|>=3.38.3,<4.0a0']\n",
      "wcwidth -> python -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "pytorch==1.5.0 -> python[version='>=3.7,<3.8.0a0'] -> sqlite[version='>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.38.0,<4.0a0']\n",
      "keras-applications -> python -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "backcall -> python -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "numpy -> python[version='>=3.8,<3.9.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0|>=3.37.2,<4.0a0']\n",
      "imagecodecs-lite -> python[version='>=3.7,<3.8.0a0'] -> sqlite[version='>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.38.0,<4.0a0']\n",
      "requests -> python[version='>=3.6'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "wheel -> python -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "scikit-image==0.17.2 -> python[version='>=3.9,<3.10.0a0'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.26.0,<4.0a0|>=3.29.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0|>=3.27.2,<4.0a0|>=3.25.3,<4.0a0|>=3.32.3,<4.0a0|>=3.30.0,<4.0a0']\n",
      "pycocotools==2.0.2 -> python[version='>=3.7,<3.8.0a0'] -> sqlite[version='>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.38.0,<4.0a0']\n",
      "partd -> python[version='>=3.5'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "toolz -> python[version='>=3.5'] -> sqlite[version='>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.4,<4.0a0|>=3.36.0,<4.0a0|>=3.37.2,<4.0a0|>=3.38.0,<4.0a0|>=3.38.2,<4.0a0|>=3.38.3,<4.0a0']\n",
      "\n",
      "Package ca-certificates conflicts for:\n",
      "six -> python -> ca-certificates\n",
      "munkres -> python -> ca-certificates\n",
      "packaging -> python -> ca-certificates\n",
      "jupyter_client -> python -> ca-certificates\n",
      "google-pasta -> python -> ca-certificates\n",
      "py-opencv -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "itsdangerous -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "krb5 -> openssl[version='>=1.1.1k,<1.1.2a'] -> ca-certificates\n",
      "partd -> python -> ca-certificates\n",
      "backcall -> python -> ca-certificates\n",
      "gast -> python -> ca-certificates\n",
      "pyparsing -> python -> ca-certificates\n",
      "keras-preprocessing -> python -> ca-certificates\n",
      "libpq -> openssl[version='>=1.1.1l,<1.1.2a'] -> ca-certificates\n",
      "pywavelets -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "absl-py -> python -> ca-certificates\n",
      "prompt-toolkit -> python -> ca-certificates\n",
      "werkzeug -> python -> ca-certificates\n",
      "tensorflow==1.14.0 -> python=2.7 -> ca-certificates\n",
      "numpy -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "pysocks -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "wcwidth -> python -> ca-certificates\n",
      "ptyprocess -> python -> ca-certificates\n",
      "zipp -> python -> ca-certificates\n",
      "psutil -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "tqdm==4.60.0 -> python[version='>=2.7'] -> ca-certificates\n",
      "ninja -> python -> ca-certificates\n",
      "keras-applications -> python -> ca-certificates\n",
      "backports -> python -> ca-certificates\n",
      "flask-compress -> python[version='>=2.7'] -> ca-certificates\n",
      "pytz -> python -> ca-certificates\n",
      "cython -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "openssl -> ca-certificates\n",
      "wheel -> python -> ca-certificates\n",
      "tenacity -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "grpcio -> openssl[version='>=1.1.1l,<1.1.2a'] -> ca-certificates\n",
      "markupsafe -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "pickleshare -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "dash -> python -> ca-certificates\n",
      "pyzmq -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "tensorboard -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "seaborn -> python -> ca-certificates\n",
      "markdown -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "toolz -> python -> ca-certificates\n",
      "ipython -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "python~=3.7 -> openssl[version='>=1.1.1n,<1.1.2a'] -> ca-certificates\n",
      "pyproj -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "pexpect -> python -> ca-certificates\n",
      "typing_extensions -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "imageio -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "idna -> python -> ca-certificates\n",
      "ffmpeg -> gnutls[version='>=3.6.5,<3.7.0a0'] -> ca-certificates\n",
      "pandas -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "olefile -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "python-dateutil -> python -> ca-certificates\n",
      "traitlets -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "pyshp -> python -> ca-certificates\n",
      "locket -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "pyopenssl -> python -> ca-certificates\n",
      "libevent -> openssl[version='>=1.1.1m,<1.1.2a'] -> ca-certificates\n",
      "requests -> python -> ca-certificates\n",
      "h5py -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "click -> python -> ca-certificates\n",
      "decorator -> python -> ca-certificates\n",
      "plotly -> python -> ca-certificates\n",
      "cloudpickle -> python -> ca-certificates\n",
      "protobuf -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "gnutls -> ca-certificates\n",
      "hdf5 -> openssl[version='>=1.1.1l,<1.1.2a'] -> ca-certificates\n",
      "wrapt -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "cytoolz -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "tensorflow-estimator -> python -> ca-certificates\n",
      "fonttools -> python -> ca-certificates\n",
      "retrying -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "jinja2 -> python -> ca-certificates\n",
      "pycparser -> python -> ca-certificates\n",
      "entrypoints -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "typing-extensions -> python -> ca-certificates\n",
      "pyyaml -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "dask-core -> python -> ca-certificates\n",
      "pillow -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "qt -> openssl=1.1 -> ca-certificates\n",
      "backports.functools_lru_cache -> python -> ca-certificates\n",
      "libssh2 -> openssl[version='>=1.1.1n,<1.1.2a'] -> ca-certificates\n",
      "urllib3 -> python[version='<4.0'] -> ca-certificates\n",
      "xlrd==1.2.0 -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "ansi2html -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "tensorflow-base -> openssl[version='>=1.1.1k,<1.1.2a'] -> ca-certificates\n",
      "termcolor -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "certifi -> python -> ca-certificates\n",
      "libarchive -> openssl[version='>=1.1.1f,<1.1.2a'] -> ca-certificates\n",
      "basemap==1.2.0 -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "kiwisolver -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "jedi -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "cryptography -> openssl -> ca-certificates\n",
      "astor -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "pygments -> python -> ca-certificates\n",
      "libcurl -> openssl[version='>=1.1.1n,<1.1.2a'] -> ca-certificates\n",
      "cycler -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "mysql-libs -> openssl[version='>=1.1.1k,<1.1.2a'] -> ca-certificates\n",
      "setuptools -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "ipykernel -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "flask -> python -> ca-certificates\n",
      "pip -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "bottleneck -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "numexpr -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "scipy -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "libnghttp2 -> openssl[version='>=1.1.1l,<1.1.2a'] -> ca-certificates\n",
      "cffi -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "tornado -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "parso -> python -> ca-certificates\n",
      "networkx -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates\n",
      "\n",
      "Package libffi conflicts for:\n",
      "gast -> python -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "dash -> python -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "python~=3.7 -> libffi[version='>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "cython -> python[version='>=3.9,<3.10.0a0'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "imageio -> python[version='>=3'] -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "tenacity -> python[version='>=3.10,<3.11.0a0'] -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "cairo -> glib[version='>=2.67.4,<3.0a0'] -> libffi[version='>=3.0.0|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "graphviz==2.40.1 -> libffi[version='>=3.2.1,<3.3a0|>=3.2.1,<4.0a0']\n",
      "urllib3 -> python[version='>=3.9,<3.10.0a0'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "pyyaml -> python[version='>=3.7,<3.8.0a0'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "setuptools -> python[version='>=3.10,<3.11.0a0'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "absl-py -> python -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "ansi2html -> python[version='>=3.10,<3.11.0a0'] -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "scikit-image==0.17.2 -> python[version='>=3.9,<3.10.0a0'] -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "psutil -> python[version='>=3.10,<3.11.0a0'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "requests -> python[version='>=3.6'] -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "pandas -> python[version='>=3.10,<3.11.0a0'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "protobuf -> python[version='>=3.8,<3.9.0a0'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "gettext -> libffi[version='>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.4.2,<3.5.0a0']\n",
      "imagecodecs-lite -> python[version='>=3.7,<3.8.0a0'] -> libffi[version='>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "wcwidth -> python -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "pyzmq -> python[version='>=3.10,<3.11.0a0'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "tqdm==4.60.0 -> python[version='>=2.7'] -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "gstreamer -> gettext -> libffi[version='>=3.0.0|>=3.3,<3.4.0a0|>=3.3|>=3.4.2,<3.5.0a0']\n",
      "matplotlib-inline -> python[version='>=3.6'] -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "tornado -> python[version='>=3.10,<3.11.0a0'] -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "brotlipy -> cffi[version='>=1.0.0'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "numpy -> python[version='>=3.8,<3.9.0a0'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "jupyter_client -> python[version='>=3.10,<3.11.0a0'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "flask-compress -> python[version='>=2.7'] -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "pytz -> python -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "charset-normalizer -> python[version='>=3.5'] -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "cytoolz -> python[version='>=3.10,<3.11.0a0'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "py-opencv -> python[version='>=3.7,<3.8.0a0'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "imutils==0.5.4 -> python[version='>=3.7,<3.8.0a0'] -> libffi[version='>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "wheel -> python -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "basemap==1.2.0 -> python[version='>=3.6,<3.7.0a0'] -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "pycocotools==2.0.2 -> python[version='>=3.7,<3.8.0a0'] -> libffi[version='>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "jupyter-dash==0.4.0 -> python[version='>=3.5'] -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "certifi -> python[version='>=3.7,<3.8.0a0'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "flask -> python[version='>=3.6'] -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "qt -> glib[version='>=2.56.2,<2.57.0a0'] -> libffi[version='>=3.0.0|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.4.2,<3.5.0a0|>=3.3|>=3.3,<3.4.0a0']\n",
      "harfbuzz -> glib[version='>=2.69.1,<3.0a0'] -> libffi[version='>=3.0.0|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "idna -> python[version='>=3.5'] -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "pywavelets -> python[version='>=3.10,<3.11.0a0'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "astor -> python[version='>=3.10,<3.11.0a0'] -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "nest-asyncio -> python[version='>=3.7,<3.8.0a0'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "decorator -> python[version='>=3.5'] -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "backcall -> python -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "pexpect -> python -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "markupsafe -> python[version='>=3.10,<3.11.0a0'] -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "ibm_db==3.0.4 -> python[version='>=3.7,<3.8.0a0'] -> libffi[version='>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "python_abi -> python=3.7 -> libffi[version='>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "entrypoints -> python[version='>=3.8,<3.9.0a0'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "pango -> glib[version='>=2.65.0,<3.0a0'] -> libffi[version='>=3.0.0|>=3.3|>=3.4.2,<3.5.0a0']\n",
      "olefile -> python[version='>=3.5,<3.6.0a0'] -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "pyshp -> python -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "matplotlib-base -> python[version='>=3.8,<3.9.0a0'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "traitlets -> python[version='>=3.7'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "pygments -> python[version='>=3.5'] -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "gstreamer -> libffi[version='>=3.2.1,<3.3a0|>=3.2.1,<4.0a0']\n",
      "fonttools -> python[version='>=3.6'] -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "debugpy -> python[version='>=3.10,<3.11.0a0'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "fsspec -> python[version='>=3.7'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "scipy -> python[version='>=3.7,<3.8.0a0'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "unicodedata2 -> python[version='>=3.10,<3.11.0a0'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "xorg-libxpm -> gettext[version='>=0.19.8.1,<1.0a0'] -> libffi[version='>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.4.2,<3.5.0a0']\n",
      "grpcio -> python[version='>=3.9,<3.10.0a0'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "ipython -> python[version='>=3.9,<3.10.0a0'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "pycparser -> python[version='>=3.6'] -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "pyparsing -> python[version='>=3.6'] -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "bottleneck -> python[version='>=3.8,<3.9.0a0'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "numexpr -> python[version='>=3.8,<3.9.0a0'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "keras-preprocessing -> python[version='>=3.6'] -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "pango -> libffi[version='>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0']\n",
      "pip -> python[version='>=3.10,<3.11.0a0'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "parso -> python[version='>=3.6'] -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "tensorflow==1.14.0 -> python=3.6 -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "pickleshare -> python[version='>=3'] -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "werkzeug -> python[version='>=3.6'] -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "typing_extensions -> python[version='>=3.6'] -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "ipykernel -> python[version='>=3.10,<3.11.0a0'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "xlrd==1.2.0 -> python[version='>=3.7,<3.8.0a0'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "locket -> python[version='>=3.9,<3.10.0a0'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "markdown -> python[version='>=3.10,<3.11.0a0'] -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "pillow -> python[version='>=3.10,<3.11.0a0'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "libglib -> gettext[version='>=0.19.8.1,<1.0a0'] -> libffi[version='>=3.2.1,<3.3a0|>=3.2.1,<4.0a0']\n",
      "keras-applications -> python -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "ptyprocess -> python -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "tensorflow-estimator -> python -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "jinja2 -> python[version='>=3.6'] -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "packaging -> python[version='>=3.6'] -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "dask-core -> python[version='>=3.8'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "pyopenssl -> python[version='>=3.6'] -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "typing-extensions -> python -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "pyproj -> python[version='>=3.9,<3.10.0a0'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "partd -> python[version='>=3.5'] -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "jedi -> python[version='>=3.10,<3.11.0a0'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "cffi -> libffi[version='>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "ninja -> python -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "libglib -> libffi[version='>=3.4.2,<3.5.0a0']\n",
      "backports.functools_lru_cache -> python -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "seaborn -> python[version='>=3.6'] -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "python-dateutil -> python -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "cloudpickle -> python[version='>=3.6'] -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "zipp -> python[version='>=3.7'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "kiwisolver -> python[version='>=3.8,<3.9.0a0'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "wrapt -> python[version='>=3.10,<3.11.0a0'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "prompt-toolkit -> python -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "tensorflow-base -> python[version='>=3.9,<3.10.0a0'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "retrying -> python[version='>=3.6,<3.7.0a0'] -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "importlib-metadata -> python[version='>=3.10,<3.11.0a0'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "gst-plugins-base -> gettext -> libffi[version='>=3.0.0|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.4.2,<3.5.0a0|>=3.3|>=3.3,<3.4.0a0']\n",
      "tifffile -> python[version='>=3.7'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "termcolor -> python[version='>=3.10,<3.11.0a0'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "backports -> python -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "click -> python[version='>=3.10,<3.11.0a0'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "networkx -> python[version='>=3.8'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "cryptography -> cffi[version='>=1.12'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "cffi -> python[version='>=3.6,<3.7.0a0'] -> libffi=3.2\n",
      "plotly -> python[version='>=3.6'] -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "h5py -> python[version='>=3.10,<3.11.0a0'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "pytorch==1.5.0 -> cffi -> libffi[version='>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "brotli-python -> python[version='>=3.8,<3.9.0a0'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "graphviz==2.40.1 -> pango[version='>=1.42.1,<2.0a0'] -> libffi[version='>=3.3|>=3.3,<3.4.0a0']\n",
      "six -> python -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "tensorboard -> python[version='>=3.2'] -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "munkres -> python -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "dbus -> glib -> libffi[version='>=3.0.0|>=3.2.1,<4.0a0|>=3.3|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "google-pasta -> python -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "toolz -> python[version='>=3.5'] -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "pysocks -> python[version='>=3.7,<3.8.0a0'] -> libffi[version='3.2.*|>=3.2.1,<3.3a0|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.4.2,<3.5.0a0']\n",
      "cycler -> python[version='>=3.6'] -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "itsdangerous -> python[version='>=3.6'] -> libffi[version='3.2.*|>=3.2.1,<4.0a0|>=3.3,<3.4.0a0|>=3.2.1,<3.3a0|>=3.4.2,<3.5.0a0']\n",
      "\n",
      "Package _openmp_mutex conflicts for:\n",
      "tornado -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "libglib -> libgcc-ng[version='>=9.4.0'] -> _openmp_mutex[version='>=4.5']\n",
      "grpcio -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "libopus -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "krb5 -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "zlib -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "libgcc-ng -> _openmp_mutex[version='>=4.5']\n",
      "xorg-libx11 -> libgcc-ng[version='>=9.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "libpq -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "alsa-lib -> libgcc-ng[version='>=10.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "xorg-libsm -> libgcc-ng[version='>=9.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "pixman -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "pcre -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "scikit-image==0.17.2 -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "libxkbcommon -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "geos -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "pywavelets -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "bzip2 -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "libbrotlidec -> libgcc-ng[version='>=10.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "binutils_impl_linux-64 -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "tensorboard -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "libprotobuf -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "basemap==1.2.0 -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "libsodium -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "lcms2 -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "blas -> _openmp_mutex[version='*|>=4.5',build=*_llvm]\n",
      "leptonica -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "scipy -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='*|>=4.5',build=*_llvm]\n",
      "tensorflow==1.14.0 -> libgcc-ng[version='>=5.4.0'] -> _openmp_mutex[version='>=4.5']\n",
      "xorg-libice -> libgcc-ng[version='>=9.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "lame -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "cffi -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "libnsl -> libgcc-ng[version='>=9.4.0'] -> _openmp_mutex[version='>=4.5']\n",
      "libxml2 -> libgcc-ng[version='>=9.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "debugpy -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "cytoolz -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "cryptography -> libgcc-ng -> _openmp_mutex[version='>=4.5']\n",
      "sqlite -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "brotli-bin -> libgcc-ng[version='>=10.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "libopencv -> opencv==4.5.4 -> _openmp_mutex[version='>=4.5|>=5.1']\n",
      "libvorbis -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "gmp -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "icu -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "openh264 -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "openjpeg -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "giflib -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "gnutls -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "psutil -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "xorg-xextproto -> libgcc-ng[version='>=9.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "libbrotlienc -> libgcc-ng[version='>=10.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "brotli-python -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "kiwisolver -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "libarchive -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "libedit -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "imagecodecs-lite -> libgcc-ng[version='>=10.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "harfbuzz -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "gettext -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "zstd -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "python~=3.7 -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "libllvm11 -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "pyyaml -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "tensorflow-base -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='*|>=4.5',build=*_llvm]\n",
      "xorg-libxpm -> libgcc-ng[version='>=9.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "mkl-devel -> mkl==2022.0.1=h8d4b97c_803 -> _openmp_mutex[version='*|>=4.5',build=*_llvm]\n",
      "xorg-renderproto -> libgcc-ng[version='>=9.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "ibm_db==3.0.4 -> libgcc-ng[version='>=9.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "blas -> libgcc-ng[version='>=10.3.0'] -> _openmp_mutex\n",
      "matplotlib-base -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "fontconfig -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "pyproj -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "xz -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "xorg-libxt -> libgcc-ng[version='>=9.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "cython -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "brotli -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "jpeg -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "zeromq -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "xorg-libxau -> libgcc-ng[version='>=9.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "libzlib -> libgcc-ng[version='>=10.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "markupsafe -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "gstreamer -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "libcurl -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "libffi -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "xorg-libxdmcp -> libgcc-ng[version='>=9.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "yaml -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "pyzmq -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "tbb -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "libnghttp2 -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "imutils==0.5.4 -> opencv -> _openmp_mutex[version='>=4.5|>=5.1']\n",
      "cudatoolkit -> libgcc-ng[version='>=9.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "pytorch==1.5.0 -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='*|>=4.5',build=*_llvm]\n",
      "openssl -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "xorg-libxext -> libgcc-ng[version='>=9.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "ninja -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "libiconv -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "nspr -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "x264 -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "readline -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "freetype -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "fonttools -> libgcc-ng[version='>=10.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "lz4-c -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "libpng -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "libtool -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "hdf5 -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "libogg -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "libssh2 -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "mkl -> _openmp_mutex[version='*|>=4.5',build=*_llvm]\n",
      "libev -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "pthread-stubs -> libgcc-ng[version='>=7.2.0'] -> _openmp_mutex[version='>=4.5']\n",
      "numpy -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='*|>=4.5',build=*_llvm]\n",
      "proj4==5.2.0 -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "jasper -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "libwebp -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "tifffile -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "c-ares -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "libbrotlicommon -> libgcc-ng[version='>=10.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "h5py -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "libuuid -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "xorg-kbproto -> libgcc-ng[version='>=9.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "ncurses -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "tk -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "numexpr -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='*|>=4.5',build=*_llvm]\n",
      "pycocotools==2.0.2 -> libgcc-ng[version='>=9.4.0'] -> _openmp_mutex[version='>=4.5']\n",
      "protobuf -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "blas-devel -> mkl[version='>=2022.0.1,<2023.0a0'] -> _openmp_mutex[version='*|>=4.5',build=*_llvm]\n",
      "gcc_impl_linux-64 -> libgcc-ng[version='>=4.9'] -> _openmp_mutex[version='>=4.5']\n",
      "nodejs==10.15.3 -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "pango -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "libclang -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "nss -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "keyutils -> libgcc-ng[version='>=10.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "xorg-xproto -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "bottleneck -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "qt -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "xorg-libxrender -> libgcc-ng[version='>=9.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "brotlipy -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "libtiff -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "wrapt -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "ffmpeg -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "mysql-libs -> libgcc-ng[version='>=9.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "gst-plugins-base -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "nettle==3.6 -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "dbus -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "pandas -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "cairo -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "tesseract==4.1.1 -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "expat -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "graphite2 -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "unicodedata2 -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "libevent -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "fribidi -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "pillow -> libgcc-ng[version='>=7.5.0'] -> _openmp_mutex[version='>=4.5']\n",
      "graphviz==2.40.1 -> libgcc-ng[version='>=7.2.0'] -> _openmp_mutex[version='>=4.5']\n",
      "lzo -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "libblas -> mkl[version='>=2022.0.1,<2023.0a0'] -> _openmp_mutex[version='*|>=4.5',build=*_llvm]\n",
      "py-opencv -> opencv==4.5.4 -> _openmp_mutex[version='>=4.5|>=5.1']\n",
      "libxcb -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']\n",
      "\n",
      "Package libgcc-ng conflicts for:\n",
      "lcms2 -> libgcc-ng[version='>=7.3.0|>=7.5.0']\n",
      "maven==3.6.0 -> openjdk -> libgcc-ng[version='>=7.5.0']\n",
      "hdf5 -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.3.0']\n",
      "werkzeug -> python[version='>=3.6'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "graphviz==2.40.1 -> cairo[version='>=1.14.12,<2.0a0'] -> libgcc-ng[version='7.2.0.*|>=7.5.0|>=9.3.0|>=10.3.0|>=9.4.0']\n",
      "matplotlib-base -> libgcc-ng[version='>=10.3.0|>=7.3.0|>=7.5.0|>=9.3.0']\n",
      "zstd -> libgcc-ng[version='>=7.2.0|>=7.3.0|>=7.5.0|>=9.3.0']\n",
      "libarchive -> openssl[version='>=1.1.1f,<1.1.2a'] -> libgcc-ng[version='>=10.3.0']\n",
      "pcre -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.3.0']\n",
      "xorg-libxt -> libgcc-ng[version='>=9.3.0']\n",
      "hdf5 -> libcurl[version='>=7.78.0,<8.0a0'] -> libgcc-ng[version='>=10.3.0']\n",
      "libiconv -> libgcc-ng[version='>=7.2.0|>=7.5.0']\n",
      "openssl -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=10.3.0']\n",
      "pip -> python[version='>=3.10,<3.11.0a0'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "libopencv -> libgcc-ng[version='>=7.2.0|>=7.3.0']\n",
      "wrapt -> python[version='>=3.7,<3.8.0a0'] -> libgcc-ng[version='7.2.0.*|>=9.4.0']\n",
      "pyzmq -> zeromq[version='>=4.3.4,<4.4.0a0'] -> libgcc-ng[version='>=9.4.0']\n",
      "matplotlib-base -> freetype[version='>=2.3'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=8.4.0|>=9.4.0']\n",
      "freetype -> zlib[version='>=1.2.11,<1.3.0a0'] -> libgcc-ng[version='>=10.3.0']\n",
      "libpng -> zlib[version='>=1.2.11,<1.3.0a0'] -> libgcc-ng[version='>=10.3.0']\n",
      "brotlipy -> libgcc-ng[version='>=10.3.0|>=7.3.0|>=7.5.0']\n",
      "pyproj -> python[version='>=3.6,<3.7.0a0'] -> libgcc-ng[version='7.2.0.*|>=9.4.0|>=10.3.0']\n",
      "fonttools -> brotli[version='>=1.0.1'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "libogg -> libgcc-ng[version='>=7.3.0|>=9.3.0']\n",
      "sqlite -> readline[version='>=8.0,<9.0a0'] -> libgcc-ng[version='>=9.3.0']\n",
      "debugpy -> python[version='>=3.9,<3.10.0a0'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=9.4.0']\n",
      "gnutls -> gmp[version='>=6.1.2'] -> libgcc-ng[version='7.2.0.*|>=7.2.0']\n",
      "libtiff -> jpeg[version='>=9b,<10a'] -> libgcc-ng[version='>=10.3.0|>=9.3.0']\n",
      "basemap==1.2.0 -> matplotlib-base[version='>=1.0.0'] -> libgcc-ng[version='7.2.0.*|>=10.3.0|>=7.5.0|>=9.3.0|>=7.2.0|>=9.4.0']\n",
      "gstreamer -> gettext -> libgcc-ng[version='7.2.0.*|>=9.3.0']\n",
      "imagecodecs-lite -> numpy[version='>=1.19.5,<2.0a0'] -> libgcc-ng[version='>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "unicodedata2 -> python[version='>=3.6,<3.7.0a0'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=9.4.0']\n",
      "pyyaml -> python[version='>=3.7,<3.8.0a0'] -> libgcc-ng[version='7.2.0.*|>=9.4.0']\n",
      "xorg-libxt -> xorg-xproto -> libgcc-ng[version='>=7.3.0']\n",
      "grpcio -> libgcc-ng[version='>=12|>=7.2.0|>=7.3.0|>=7.5.0']\n",
      "pthread-stubs -> libgcc-ng[version='>=7.2.0|>=7.5.0']\n",
      "libtool -> libgcc-ng[version='7.2.0.*|>=7.3.0|>=7.5.0|>=7.2.0|>=9.4.0']\n",
      "xorg-xproto -> libgcc-ng[version='>=7.3.0|>=9.3.0']\n",
      "xorg-libxau -> libgcc-ng[version='>=9.3.0']\n",
      "libbrotlidec -> libgcc-ng[version='>=10.3.0']\n",
      "ninja -> python -> libgcc-ng[version='7.2.0.*|>=9.4.0']\n",
      "libllvm11 -> libgcc-ng[version='>=7.5.0|>=9.4.0']\n",
      "blas -> libgcc-ng[version='>=10.3.0']\n",
      "libsodium -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0']\n",
      "readline -> libgcc-ng[version='7.2.0.*|>=7.3.0|>=7.5.0|>=7.2.0|>=9.3.0']\n",
      "tensorflow==1.14.0 -> libgcc-ng[version='>=5.4.0']\n",
      "cytoolz -> libgcc-ng[version='>=10.3.0|>=7.2.0|>=7.3.0|>=7.5.0']\n",
      "pyopenssl -> cryptography[version='>=35.0'] -> libgcc-ng[version='7.2.0.*|>=10.3.0|>=7.5.0|>=7.3.0|>=7.2.0|>=9.4.0']\n",
      "zeromq -> libsodium[version='>=1.0.18,<1.0.19.0a0'] -> libgcc-ng[version='>=7.5.0']\n",
      "zeromq -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=9.4.0']\n",
      "tesseract==4.1.1 -> giflib[version='>=5.2.1,<5.3.0a0'] -> libgcc-ng[version='7.2.0.*|>=10.3.0|>=7.5.0|>=9.3.0|>=7.2.0']\n",
      "qt -> dbus[version='>=1.13.2,<2.0a0'] -> libgcc-ng[version='7.2.0.*|>=10.3.0|>=7.5.0|>=9.4.0|>=12']\n",
      "libwebp -> libgcc-ng[version='>=7.2.0|>=7.3.0|>=7.5.0']\n",
      "libwebp -> jpeg[version='>=9d,<10a'] -> libgcc-ng[version='7.2.0.*|>=10.3.0']\n",
      "nss -> sqlite[version='>=3.37.0,<4.0a0'] -> libgcc-ng[version='7.2.0.*|>=10.3.0|>=9.4.0|>=7.2.0']\n",
      "tensorflow-base -> abseil-cpp[version='>=20210324.2,<20210324.3.0a0'] -> libgcc-ng[version='7.2.0.*|>=12|>=7.3.0|>=9.4.0|>=10.3.0']\n",
      "cloudpickle -> python[version='>=3.6'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "h5py -> numpy[version='>=1.21.2,<2.0a0'] -> libgcc-ng[version='>=10.3.0|>=9.4.0|>=9.3.0']\n",
      "protobuf -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=10.3.0']\n",
      "libtiff -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0']\n",
      "jinja2 -> markupsafe[version='>=2.0'] -> libgcc-ng[version='7.2.0.*|>=10.3.0|>=7.3.0|>=7.5.0|>=7.2.0|>=9.4.0']\n",
      "pandas -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0']\n",
      "python~=3.7 -> bzip2[version='>=1.0.8,<2.0a0'] -> libgcc-ng[version='7.2.0.*|>=10.3.0|>=9.3.0']\n",
      "tbb -> libgcc-ng[version='>=10.3.0|>=7.2.0|>=7.3.0|>=7.5.0']\n",
      "typing-extensions -> python -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "imutils==0.5.4 -> matplotlib-base -> libgcc-ng[version='7.2.0.*|>=10.3.0|>=7.3.0|>=7.5.0|>=9.3.0|>=7.2.0|>=9.4.0']\n",
      "ffmpeg -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0']\n",
      "libglib -> gettext[version='>=0.19.8.1,<1.0a0'] -> libgcc-ng[version='7.2.0.*|>=7.3.0|>=7.2.0|>=7.5.0|>=10.3.0|>=9.3.0']\n",
      "libxkbcommon -> libgcc-ng[version='>=7.5.0']\n",
      "yaml -> libgcc-ng[version='7.2.0.*|>=7.3.0|>=7.2.0|>=9.4.0']\n",
      "tensorflow-base -> libgcc-ng[version='>=5.4.0|>=7.5.0|>=7.2.0']\n",
      "dash -> python -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0|>=10.3.0']\n",
      "pyproj -> libgcc-ng[version='>=7.2.0|>=7.3.0|>=7.5.0']\n",
      "tk -> libgcc-ng[version='7.2.0.*|>=7.3.0|>=7.5.0|>=7.2.0|>=9.4.0']\n",
      "psutil -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=10.3.0']\n",
      "nettle==3.6 -> libgcc-ng[version='>=7.5.0']\n",
      "jupyter-dash==0.4.0 -> python[version='>=3.5'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "ibm_db==3.0.4 -> libgcc-ng[version='>=9.3.0']\n",
      "openh264 -> libgcc-ng[version='>=7.3.0|>=7.5.0']\n",
      "fontconfig -> freetype[version='>=2.10.4,<3.0a0'] -> libgcc-ng[version='7.2.0.*|>=7.5.0|>=9.3.0']\n",
      "pytorch==1.5.0 -> libgcc-ng[version='>=7.3.0']\n",
      "tifffile -> libgcc-ng[version='>=7.3.0']\n",
      "xorg-libice -> libgcc-ng[version='>=9.3.0']\n",
      "lz4-c -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.3.0']\n",
      "charset-normalizer -> python[version='>=3.5'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "c-ares -> libgcc-ng[version='>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "debugpy -> libgcc-ng[version='>=10.3.0|>=7.5.0']\n",
      "setuptools -> python[version='>=3.10,<3.11.0a0'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "harfbuzz -> cairo[version='>=1.14.12,<2.0a0'] -> libgcc-ng[version='7.2.0.*|>=9.3.0']\n",
      "itsdangerous -> python[version='>=3.6'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "icu -> libgcc-ng[version='7.2.0.*|>=7.3.0|>=7.2.0|>=9.4.0']\n",
      "libopus -> libgcc-ng[version='7.2.0.*|>=7.3.0|>=9.3.0|>=7.2.0']\n",
      "cytoolz -> python[version='>=3.7,<3.8.0a0'] -> libgcc-ng[version='7.2.0.*|>=9.4.0']\n",
      "py-opencv -> opencv==4.5.4 -> libgcc-ng[version='7.2.0.*|>=7.5.0|>=10.3.0|>=9.4.0']\n",
      "sqlite -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=10.3.0']\n",
      "libffi -> libgcc-ng[version='7.2.0.*|>=7.3.0|>=7.5.0|>=7.2.0|>=9.4.0']\n",
      "xlrd==1.2.0 -> python[version='>=3.7,<3.8.0a0'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "markupsafe -> python[version='>=3.6,<3.7.0a0'] -> libgcc-ng[version='7.2.0.*|>=9.4.0']\n",
      "xorg-kbproto -> libgcc-ng[version='>=9.3.0']\n",
      "fribidi -> libgcc-ng[version='>=7.2.0|>=7.3.0|>=7.5.0']\n",
      "python_abi -> python=3.7 -> libgcc-ng[version='>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "ipykernel -> debugpy[version='>=1.0.0,<2.0'] -> libgcc-ng[version='7.2.0.*|>=10.3.0|>=7.5.0|>=7.3.0|>=7.2.0|>=9.4.0']\n",
      "libxml2 -> zlib[version='>=1.2.11,<1.3.0a0'] -> libgcc-ng[version='>=10.3.0|>=9.4.0']\n",
      "tensorflow==1.14.0 -> python=3.6 -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0|>=10.3.0']\n",
      "plotly -> python[version='>=3.6'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "ansi2html -> python[version='>=3.10,<3.11.0a0'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "libpq -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "h5py -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0']\n",
      "lcms2 -> jpeg[version='>=9b,<10a'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=10.3.0']\n",
      "tornado -> python[version='>=3.6,<3.7.0a0'] -> libgcc-ng[version='7.2.0.*|>=9.4.0']\n",
      "libpng -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0']\n",
      "retrying -> python[version='>=3.6,<3.7.0a0'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "typing_extensions -> python[version='>=3.6'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "pillow -> jpeg -> libgcc-ng[version='>=10.3.0|>=9.4.0']\n",
      "cython -> python[version='>=3.7,<3.8.0a0'] -> libgcc-ng[version='>=9.4.0']\n",
      "pyparsing -> python[version='>=3.6'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "lzo -> libgcc-ng[version='7.2.0.*|>=7.3.0|>=7.2.0|>=7.5.0']\n",
      "libzlib -> libgcc-ng[version='>=10.3.0']\n",
      "scikit-image==0.17.2 -> libgcc-ng[version='>=7.3.0|>=9.3.0']\n",
      "xorg-libsm -> libgcc-ng[version='>=9.3.0']\n",
      "qt -> libgcc-ng[version='>=7.2.0|>=7.3.0|>=9.3.0']\n",
      "graphite2 -> libgcc-ng[version='>=7.2.0|>=7.3.0|>=7.5.0']\n",
      "jasper -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.5.0|>=7.3.0']\n",
      "tensorboard -> libgcc-ng[version='>=7.2.0|>=7.3.0']\n",
      "networkx -> python[version='>=3.8'] -> libgcc-ng[version='7.2.0.*|>=10.3.0|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0|>=9.3.0']\n",
      "tensorflow-estimator -> grpcio[version='>=1.8.6'] -> libgcc-ng[version='7.2.0.*|>=10.3.0|>=12|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0|>=5.4.0']\n",
      "brotlipy -> cffi[version='>=1.0.0'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=9.4.0']\n",
      "pycocotools==2.0.2 -> cython -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=10.3.0|>=9.3.0']\n",
      "fsspec -> python[version='>=3.7'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "python~=3.7 -> libgcc-ng[version='>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "munkres -> python -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "pysocks -> python[version='>=3.7,<3.8.0a0'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "xz -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0']\n",
      "google-pasta -> python -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "entrypoints -> python[version='>=3.8,<3.9.0a0'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "jasper -> jpeg -> libgcc-ng[version='>=10.3.0']\n",
      "krb5 -> tk[version='>=8.6.8,<8.7.0a0'] -> libgcc-ng[version='>=9.4.0']\n",
      "libarchive -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=9.3.0|>=7.5.0']\n",
      "cycler -> python[version='>=3.6'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "gnutls -> libgcc-ng[version='>=7.3.0|>=7.5.0']\n",
      "jedi -> python[version='>=3.10,<3.11.0a0'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "markupsafe -> libgcc-ng[version='>=10.3.0|>=7.2.0|>=7.3.0|>=7.5.0']\n",
      "keyutils -> libgcc-ng[version='>=10.3.0']\n",
      "bzip2 -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=9.3.0']\n",
      "libuuid -> libgcc-ng[version='>=7.2.0|>=7.5.0|>=9.3.0']\n",
      "gcc_linux-64 -> gcc_impl_linux-64=9.3.0 -> libgcc-ng[version='>=11.2.0|>=4.9|>=9.3.0|>=8.4.0|>=7.5.0|>=7.3.0']\n",
      "cudatoolkit -> libgcc-ng[version='>=10.3.0|>=7.3.0|>=9.3.0']\n",
      "pyyaml -> libgcc-ng[version='>=10.3.0|>=7.2.0|>=7.3.0|>=7.5.0']\n",
      "urllib3 -> brotlipy[version='>=0.6.0'] -> libgcc-ng[version='7.2.0.*|>=10.3.0|>=7.3.0|>=7.5.0|>=7.2.0|>=9.4.0']\n",
      "libxml2 -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=9.3.0|>=7.5.0']\n",
      "grpcio -> c-ares[version='>=1.17.1,<2.0a0'] -> libgcc-ng[version='7.2.0.*|>=10.3.0|>=9.4.0']\n",
      "xorg-renderproto -> libgcc-ng[version='>=9.3.0']\n",
      "libllvm11 -> zlib -> libgcc-ng[version='7.2.0.*|>=7.3.0|>=7.2.0|>=10.3.0']\n",
      "scipy -> libopenblas[version='>=0.3.3,<1.0a0'] -> libgcc-ng[version='>=10.3.0|>=11.2.0|>=8.2.0']\n",
      "nodejs==10.15.3 -> libgcc-ng[version='>=7.3.0']\n",
      "libssh2 -> openssl[version='>=1.1.1n,<1.1.2a'] -> libgcc-ng[version='>=10.3.0']\n",
      "pyzmq -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=10.3.0']\n",
      "flask -> python[version='>=3.6'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "libxcb -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "six -> python -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "libbrotlicommon -> libgcc-ng[version='>=10.3.0']\n",
      "libedit -> libgcc-ng[version='>=7.2.0|>=7.3.0|>=7.5.0']\n",
      "libbrotlienc -> libgcc-ng[version='>=10.3.0']\n",
      "wrapt -> libgcc-ng[version='>=10.3.0|>=7.2.0|>=7.3.0|>=7.5.0']\n",
      "imagecodecs-lite -> libgcc-ng[version='>=10.3.0']\n",
      "libev -> libgcc-ng[version='>=7.3.0|>=7.5.0']\n",
      "libevent -> libgcc-ng[version='7.2.0.*|>=7.3.0|>=7.5.0|>=9.4.0|>=7.2.0']\n",
      "giflib -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0']\n",
      "scikit-image==0.17.2 -> cytoolz[version='>=0.7.3'] -> libgcc-ng[version='7.2.0.*|>=10.3.0|>=7.2.0|>=7.5.0|>=8.4.0|>=9.4.0']\n",
      "readline -> ncurses[version='>=6.3,<7.0a0'] -> libgcc-ng[version='>=10.3.0']\n",
      "leptonica -> libgcc-ng[version='>=7.3.0']\n",
      "xorg-libxdmcp -> libgcc-ng[version='>=9.3.0']\n",
      "cryptography -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=10.3.0']\n",
      "ffmpeg -> bzip2[version='>=1.0.8,<2.0a0'] -> libgcc-ng[version='>=10.3.0|>=7.5.0|>=9.3.0']\n",
      "ninja -> libgcc-ng[version='>=10.3.0|>=7.2.0|>=7.3.0|>=7.5.0']\n",
      "keras-applications -> h5py -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=10.3.0|>=9.4.0']\n",
      "gast -> python -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "ibm_db==3.0.4 -> libxml2[version='>=2.9.10,<2.10.0a0'] -> libgcc-ng[version='>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "wcwidth -> python -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "brotli-bin -> libgcc-ng[version='>=10.3.0']\n",
      "opencv==3.4.9 -> libopencv==3.4.9=py37_2 -> libgcc-ng[version='>=7.3.0']\n",
      "gst-plugins-base -> libgcc-ng[version='>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "backcall -> python -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "freetype -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.3.0']\n",
      "expat -> libgcc-ng[version='7.2.0.*|>=7.3.0|>=7.5.0|>=7.2.0|>=10.3.0']\n",
      "pango -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0']\n",
      "zstd -> zlib[version='>=1.2.11,<1.3.0a0'] -> libgcc-ng[version='7.2.0.*|>=10.3.0']\n",
      "x264 -> libgcc-ng[version='>=7.3.0']\n",
      "brotli-python -> python[version='>=3.8,<3.9.0a0'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.5.0|>=9.4.0']\n",
      "absl-py -> python -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "tifffile -> imagecodecs[version='>=2021.4.28'] -> libgcc-ng[version='7.2.0.*|>=10.3.0|>=7.5.0|>=7.2.0|>=9.4.0']\n",
      "pyshp -> python -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "pandas -> bottleneck[version='>=1.3.1'] -> libgcc-ng[version='>=10.3.0|>=9.4.0']\n",
      "xorg-libxpm -> libgcc-ng[version='>=9.3.0']\n",
      "tesseract==4.1.1 -> libgcc-ng[version='>=7.3.0']\n",
      "alsa-lib -> libgcc-ng[version='>=10.3.0']\n",
      "wheel -> python -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "dbus -> libgcc-ng[version='>=7.2.0|>=7.3.0|>=9.4.0']\n",
      "libnsl -> libgcc-ng[version='>=9.4.0']\n",
      "gxx_impl_linux-64 -> gcc_impl_linux-64==9.3.0=h6df7d76_17 -> libgcc-ng[version='>=11.2.0|>=4.9|>=9.3.0|>=8.4.0|>=7.5.0|>=7.3.0']\n",
      "gcc_impl_linux-64 -> libgcc-ng[version='>=11.2.0|>=4.9|>=9.3.0|>=8.4.0|>=7.5.0|>=7.3.0']\n",
      "ncurses -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=10.3.0']\n",
      "binutils_linux-64 -> binutils_impl_linux-64=2.33.1 -> libgcc-ng[version='>=7.3.0']\n",
      "libprotobuf -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=10.3.0']\n",
      "certifi -> python[version='>=3.7,<3.8.0a0'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "harfbuzz -> libgcc-ng[version='>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "libvorbis -> libgcc-ng[version='>=7.3.0|>=9.3.0']\n",
      "fonttools -> libgcc-ng[version='>=10.3.0']\n",
      "tk -> zlib[version='>=1.2.11,<1.3.0a0'] -> libgcc-ng[version='>=10.3.0']\n",
      "imageio -> numpy -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=10.3.0|>=8.4.0|>=9.3.0|>=9.4.0']\n",
      "markdown -> python[version='>=3.10,<3.11.0a0'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "libevent -> openssl[version='>=1.1.1m,<1.1.2a'] -> libgcc-ng[version='>=10.3.0']\n",
      "tqdm==4.60.0 -> python[version='>=2.7'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "cython -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=10.3.0']\n",
      "libcurl -> libgcc-ng[version='>=10.3.0|>=7.2.0|>=7.3.0|>=7.5.0']\n",
      "nspr -> libgcc-ng[version='>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "fontconfig -> libgcc-ng[version='>=10.3.0|>=7.2.0|>=7.3.0']\n",
      "bottleneck -> libgcc-ng[version='>=10.3.0|>=7.2.0|>=7.3.0|>=7.5.0']\n",
      "scipy -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "libcurl -> libssh2[version='>=1.9.0,<2.0a0'] -> libgcc-ng[version='7.2.0.*|>=9.4.0']\n",
      "geos -> libgcc-ng[version='7.2.0.*|>=7.3.0|>=7.5.0|>=7.2.0']\n",
      "brotli-python -> libgcc-ng[version='>=10.3.0|>=7.3.0']\n",
      "krb5 -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=10.3.0']\n",
      "ipython -> python[version='>=3.9,<3.10.0a0'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "xorg-libx11 -> libgcc-ng[version='>=9.3.0']\n",
      "mysql-libs -> openssl[version='>=1.1.1k,<1.1.2a'] -> libgcc-ng[version='7.2.0.*|>=10.3.0|>=7.3.0|>=7.5.0|>=7.2.0']\n",
      "importlib-metadata -> python[version='>=3.10,<3.11.0a0'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "libclang -> libllvm11[version='>=11.1.0,<11.2.0a0'] -> libgcc-ng[version='>=7.5.0|>=9.4.0']\n",
      "openh264 -> zlib[version='>=1.2.11,<1.3.0a0'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=10.3.0']\n",
      "gstreamer -> libgcc-ng[version='>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "libopencv -> opencv==4.5.4 -> libgcc-ng[version='7.2.0.*|>=7.5.0|>=9.3.0|>=10.3.0|>=9.4.0']\n",
      "xorg-xextproto -> libgcc-ng[version='>=9.3.0']\n",
      "nest-asyncio -> python[version='>=3.7,<3.8.0a0'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "libglib -> libgcc-ng[version='>=9.4.0']\n",
      "partd -> python[version='>=3.5'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "xorg-libxext -> libgcc-ng[version='>=9.3.0']\n",
      "libnghttp2 -> libgcc-ng[version='>=10.3.0|>=7.3.0|>=7.5.0']\n",
      "parso -> python[version='>=3.6'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "numexpr -> numpy[version='>=1.16.6,<2.0a0'] -> libgcc-ng[version='>=10.3.0|>=11.2.0|>=8.2.0']\n",
      "toolz -> python[version='>=3.5'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "xorg-libx11 -> libxcb=1 -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "gettext -> libxml2[version='>=2.9.10,<2.10.0a0'] -> libgcc-ng[version='>=7.5.0|>=9.3.0']\n",
      "kiwisolver -> python[version='>=3.7,<3.8.0a0'] -> libgcc-ng[version='>=9.4.0']\n",
      "pixman -> libgcc-ng[version='7.2.0.*|>=7.3.0|>=7.5.0|>=7.2.0']\n",
      "leptonica -> giflib[version='>=5.2.1,<5.3.0a0'] -> libgcc-ng[version='7.2.0.*|>=10.3.0|>=7.5.0|>=9.3.0|>=7.2.0']\n",
      "proj4==5.2.0 -> libgcc-ng[version='>=7.3.0|>=7.5.0']\n",
      "decorator -> python[version='>=3.5'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "pytorch==1.5.0 -> cffi -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.5.0|>=9.4.0|>=10.3.0']\n",
      "locket -> python[version='>=3.9,<3.10.0a0'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "libxkbcommon -> libxcb[version='>=1.14,<2.0a0'] -> libgcc-ng[version='>=7.3.0|>=9.3.0']\n",
      "pycocotools==2.0.2 -> libgcc-ng[version='>=9.4.0']\n",
      "basemap==1.2.0 -> libgcc-ng[version='>=7.3.0']\n",
      "cairo -> fontconfig[version='>=2.13.1,<3.0a0'] -> libgcc-ng[version='>=10.3.0|>=9.4.0']\n",
      "tenacity -> python[version='>=3.10,<3.11.0a0'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "pango -> cairo[version='>=1.14.12,<2.0a0'] -> libgcc-ng[version='>=10.3.0|>=9.3.0|>=9.4.0']\n",
      "dask-core -> python[version='>=3.8'] -> libgcc-ng[version='7.2.0.*|>=10.3.0|>=7.3.0|>=7.5.0|>=7.2.0|>=9.4.0']\n",
      "backports.functools_lru_cache -> python -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "openjpeg -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.5.0|>=9.3.0']\n",
      "gettext -> libgcc-ng[version='7.2.0.*|>=7.3.0|>=7.2.0|>=9.4.0']\n",
      "traitlets -> python[version='>=3.7'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "nss -> libgcc-ng[version='>=12|>=7.3.0|>=7.5.0']\n",
      "cffi -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "cairo -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=9.3.0|>=7.5.0']\n",
      "olefile -> python[version='>=3.5,<3.6.0a0'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "idna -> python[version='>=3.5'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "click -> python[version='>=3.10,<3.11.0a0'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "jupyter_client -> python[version='>=3.10,<3.11.0a0'] -> libgcc-ng[version='7.2.0.*|>=10.3.0|>=7.5.0|>=7.3.0|>=7.2.0|>=9.4.0']\n",
      "xorg-libxrender -> libgcc-ng[version='>=9.3.0']\n",
      "lame -> libgcc-ng[version='>=7.3.0|>=9.3.0']\n",
      "cryptography -> cffi[version='>=1.12'] -> libgcc-ng[version='>=7.5.0|>=9.4.0']\n",
      "zlib -> libgcc-ng[version='7.2.0.*|>=7.3.0|>=7.5.0|>=7.2.0|>=10.3.0']\n",
      "astor -> python[version='>=3.10,<3.11.0a0'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "requests -> python[version='>=3.6'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "brotli -> libgcc-ng[version='>=10.3.0|>=7.2.0|>=7.3.0']\n",
      "prompt-toolkit -> python -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "libedit -> ncurses[version='>=6.3,<7.0a0'] -> libgcc-ng[version='7.2.0.*|>=10.3.0']\n",
      "py-opencv -> libgcc-ng[version='>=7.2.0|>=7.3.0']\n",
      "llvm-openmp -> libzlib[version='>=1.2.11,<1.3.0a0'] -> libgcc-ng[version='>=10.3.0']\n",
      "pywavelets -> python[version='>=3.7,<3.8.0a0'] -> libgcc-ng[version='7.2.0.*|>=9.4.0']\n",
      "libpq -> krb5[version='>=1.19.2,<1.20.0a0'] -> libgcc-ng[version='>=10.3.0|>=9.3.0']\n",
      "numpy -> python[version='>=3.7,<3.8.0a0'] -> libgcc-ng[version='>=11.2.0|>=9.4.0|>=8.2.0']\n",
      "numpy -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=10.3.0']\n",
      "pexpect -> python -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "libnghttp2 -> c-ares[version='>=1.17.1,<2.0a0'] -> libgcc-ng[version='7.2.0.*|>=9.4.0|>=7.2.0']\n",
      "pywavelets -> libgcc-ng[version='>=10.3.0|>=7.2.0|>=7.3.0|>=7.5.0']\n",
      "jpeg -> libgcc-ng[version='7.2.0.*|>=7.5.0|>=7.2.0|>=10.3.0']\n",
      "unicodedata2 -> libgcc-ng[version='>=10.3.0|>=7.3.0|>=7.5.0']\n",
      "libssh2 -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "gst-plugins-base -> gettext -> libgcc-ng[version='7.2.0.*|>=9.3.0|>=10.3.0']\n",
      "ptyprocess -> python -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "tensorboard -> grpcio[version='>=1.24.3'] -> libgcc-ng[version='7.2.0.*|>=12|>=7.5.0|>=10.3.0|>=9.4.0']\n",
      "keras-preprocessing -> numpy[version='>=1.9.1'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=10.3.0|>=9.4.0']\n",
      "matplotlib-inline -> python[version='>=3.6'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "dbus -> expat[version='>=2.2.10,<3.0a0'] -> libgcc-ng[version='7.2.0.*|>=10.3.0|>=7.5.0']\n",
      "xorg-libxpm -> gettext[version='>=0.19.8.1,<1.0a0'] -> libgcc-ng[version='7.2.0.*|>=7.3.0|>=7.2.0|>=9.4.0']\n",
      "numexpr -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "mkl-devel -> blas=[build=mkl] -> libgcc-ng[version='>=10.3.0']\n",
      "packaging -> python[version='>=3.6'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "pycparser -> python[version='>=3.6'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "mkl -> tbb=2021 -> libgcc-ng[version='>=10.3.0|>=7.3.0|>=7.5.0']\n",
      "protobuf -> python[version='>=3.7,<3.8.0a0'] -> libgcc-ng[version='>=9.4.0']\n",
      "backports -> python -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "libclang -> libgcc-ng[version='>=7.3.0|>=9.3.0']\n",
      "flask-compress -> brotli-python -> libgcc-ng[version='7.2.0.*|>=10.3.0|>=7.3.0|>=7.5.0|>=7.2.0|>=9.4.0']\n",
      "bottleneck -> python[version='>=3.7,<3.8.0a0'] -> libgcc-ng[version='7.2.0.*|>=9.4.0']\n",
      "pytz -> python -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "python-dateutil -> python -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "gmp -> libgcc-ng[version='7.2.0.*|>=7.3.0|>=7.2.0|>=7.5.0']\n",
      "pillow -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=8.4.0|>=9.3.0']\n",
      "graphviz==2.40.1 -> libgcc-ng[version='>=7.2.0|>=7.3.0']\n",
      "binutils_impl_linux-64 -> libgcc-ng[version='>=7.3.0']\n",
      "seaborn -> matplotlib[version='>=2.2'] -> libgcc-ng[version='7.2.0.*|>=10.3.0|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "pygments -> python[version='>=3.5'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "tornado -> libgcc-ng[version='>=10.3.0|>=7.2.0|>=7.3.0|>=7.5.0']\n",
      "zipp -> python[version='>=3.7'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "openjpeg -> libpng[version='>=1.6.37,<1.7.0a0'] -> libgcc-ng[version='>=10.3.0|>=7.3.0']\n",
      "mysql-libs -> libgcc-ng[version='>=9.3.0']\n",
      "kiwisolver -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=10.3.0']\n",
      "psutil -> python[version='>=3.7,<3.8.0a0'] -> libgcc-ng[version='>=9.4.0']\n",
      "libxcb -> xorg-libxau -> libgcc-ng[version='>=9.3.0']\n",
      "termcolor -> python[version='>=3.10,<3.11.0a0'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "pickleshare -> python[version='>=3'] -> libgcc-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "\n",
      "Package libopenblas conflicts for:\n",
      "pytorch==1.5.0 -> numpy[version='>=1.11.3,<2.0a0'] -> libopenblas[version='>=0.2.20,<0.2.21.0a0|>=0.3.2,<0.3.3.0a0|>=0.3.3,<1.0a0']\n",
      "matplotlib-base -> numpy[version='>=1.19.2,<2.0a0'] -> libopenblas[version='>=0.2.20,<0.2.21.0a0|>=0.3.2,<0.3.3.0a0|>=0.3.3,<1.0a0']\n",
      "pandas -> numexpr[version='>=2.7.1'] -> libopenblas[version='>=0.2.20,<0.2.21.0a0|>=0.3.2,<0.3.3.0a0|>=0.3.3,<1.0a0']\n",
      "imutils==0.5.4 -> numpy -> libopenblas[version='>=0.2.20,<0.2.21.0a0|>=0.3.2,<0.3.3.0a0|>=0.3.3,<1.0a0|>=0.3.17,<1.0a0|>=0.3.18,<1.0a0']\n",
      "tensorflow-estimator -> numpy[version='>=1.16.1'] -> libopenblas[version='>=0.2.20,<0.2.21.0a0|>=0.3.2,<0.3.3.0a0|>=0.3.3,<1.0a0']\n",
      "pycocotools==2.0.2 -> numpy[version='>=1.18.5,<2.0a0'] -> libopenblas[version='>=0.3.3,<1.0a0']\n",
      "h5py -> numpy[version='>=1.21.2,<2.0a0'] -> libopenblas[version='>=0.2.20,<0.2.21.0a0|>=0.3.2,<0.3.3.0a0|>=0.3.3,<1.0a0']\n",
      "keras-applications -> numpy[version='>=1.9.1'] -> libopenblas[version='>=0.2.20,<0.2.21.0a0|>=0.3.2,<0.3.3.0a0|>=0.3.3,<1.0a0']\n",
      "basemap==1.2.0 -> numpy[version='>=1.14.6,<2.0a0'] -> libopenblas[version='>=0.2.20,<0.2.21.0a0|>=0.3.2,<0.3.3.0a0|>=0.3.3,<1.0a0']\n",
      "py-opencv -> opencv==4.5.4 -> libopenblas[version='>=0.2.20,<0.2.21.0a0|>=0.3.17,<1.0a0|>=0.3.18,<1.0a0|>=0.3.3,<1.0a0|>=0.3.2,<0.3.3.0a0']\n",
      "pywavelets -> numpy[version='>=1.21.2,<2.0a0'] -> libopenblas[version='>=0.2.20,<0.2.21.0a0|>=0.3.2,<0.3.3.0a0|>=0.3.3,<1.0a0']\n",
      "imageio -> numpy -> libopenblas[version='>=0.2.20,<0.2.21.0a0|>=0.3.2,<0.3.3.0a0|>=0.3.3,<1.0a0']\n",
      "tifffile -> numpy[version='>=1.15.1'] -> libopenblas[version='>=0.2.20,<0.2.21.0a0|>=0.3.2,<0.3.3.0a0|>=0.3.3,<1.0a0']\n",
      "numpy -> libopenblas[version='>=0.2.20,<0.2.21.0a0|>=0.3.2,<0.3.3.0a0|>=0.3.3,<1.0a0']\n",
      "scipy -> libopenblas[version='>=0.2.20,<0.2.21.0a0|>=0.3.2,<0.3.3.0a0|>=0.3.3,<1.0a0']\n",
      "tensorboard -> numpy[version='>=1.12.0'] -> libopenblas[version='>=0.2.20,<0.2.21.0a0|>=0.3.2,<0.3.3.0a0|>=0.3.3,<1.0a0']\n",
      "seaborn -> numpy[version='>=1.15'] -> libopenblas[version='>=0.2.20,<0.2.21.0a0|>=0.3.2,<0.3.3.0a0|>=0.3.3,<1.0a0']\n",
      "pyproj -> numpy -> libopenblas[version='>=0.2.20,<0.2.21.0a0|>=0.3.2,<0.3.3.0a0|>=0.3.3,<1.0a0']\n",
      "keras-preprocessing -> numpy[version='>=1.9.1'] -> libopenblas[version='>=0.2.20,<0.2.21.0a0|>=0.3.2,<0.3.3.0a0|>=0.3.3,<1.0a0']\n",
      "networkx -> numpy[version='>=1.19'] -> libopenblas[version='>=0.3.3,<1.0a0']\n",
      "libopencv -> opencv==4.5.4 -> libopenblas[version='>=0.3.17,<1.0a0|>=0.3.18,<1.0a0']\n",
      "scikit-image==0.17.2 -> numpy[version='>=1.16.6,<2.0a0'] -> libopenblas[version='>=0.2.20,<0.2.21.0a0|>=0.3.2,<0.3.3.0a0|>=0.3.3,<1.0a0']\n",
      "numexpr -> libopenblas[version='>=0.2.20,<0.2.21.0a0|>=0.3.2,<0.3.3.0a0|>=0.3.3,<1.0a0']\n",
      "tensorflow-base -> numpy[version='>=1.20'] -> libopenblas[version='>=0.2.20,<0.2.21.0a0|>=0.3.2,<0.3.3.0a0|>=0.3.3,<1.0a0']\n",
      "bottleneck -> numpy[version='>=1.16.6,<2.0a0'] -> libopenblas[version='>=0.2.20,<0.2.21.0a0|>=0.3.2,<0.3.3.0a0|>=0.3.3,<1.0a0']\n",
      "imagecodecs-lite -> numpy[version='>=1.19.5,<2.0a0'] -> libopenblas[version='>=0.3.3,<1.0a0']\n",
      "\n",
      "Package nspr conflicts for:\n",
      "qt -> nss[version='>=3.61,<4.0a0'] -> nspr[version='>=4.32,<5.0a0|>=4.33,<5|>=4.33,<5.0a0']\n",
      "qt -> nspr[version='>=4.29,<5.0a0']\n",
      "libopencv -> qt=5.12 -> nspr[version='>=4.29,<5.0a0']\n",
      "nss -> nspr[version='>=4.22,<5.0a0|>=4.27|>=4.33,<5|>=4.33,<5.0a0|>=4.32,<5.0a0']\n",
      "\n",
      "Package libstdcxx-ng conflicts for:\n",
      "markupsafe -> python[version='>=3.6,<3.7.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "openjpeg -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.5.0|>=9.3.0']\n",
      "numpy -> mkl_fft -> libstdcxx-ng[version='7.2.0.*|>=11.2.0|>=7.2.0|>=7.3.0|>=9.4.0']\n",
      "openjpeg -> libtiff[version='>=4.1.0,<5.0a0'] -> libstdcxx-ng[version='>=7.3.0']\n",
      "brotli -> libstdcxx-ng[version='>=7.2.0|>=7.3.0']\n",
      "libglib -> libstdcxx-ng[version='>=9.4.0']\n",
      "numexpr -> numpy[version='>=1.16.6,<2.0a0'] -> libstdcxx-ng[version='>=10.3.0|>=11.2.0']\n",
      "jasper -> freeglut[version='>=3.0.0,<4.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0']\n",
      "brotli-python -> python[version='>=3.8,<3.9.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.5.0|>=9.4.0']\n",
      "protobuf -> python[version='>=3.7,<3.8.0a0'] -> libstdcxx-ng[version='>=9.4.0']\n",
      "kiwisolver -> python[version='>=3.7,<3.8.0a0'] -> libstdcxx-ng[version='>=9.4.0']\n",
      "tensorboard -> libstdcxx-ng[version='>=7.2.0|>=7.3.0']\n",
      "tornado -> python[version='>=3.6,<3.7.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "locket -> python[version='>=3.9,<3.10.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "gnutls -> gmp[version='>=6.1.2'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0']\n",
      "basemap==1.2.0 -> libstdcxx-ng[version='>=7.3.0']\n",
      "pyshp -> python -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "pycparser -> python[version='>=3.6'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "tensorflow-estimator -> grpcio[version='>=1.8.6'] -> libstdcxx-ng[version='7.2.0.*|>=10.3.0|>=12|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0|>=5.4.0']\n",
      "libxkbcommon -> libstdcxx-ng[version='>=7.5.0']\n",
      "flask-compress -> brotli-python -> libstdcxx-ng[version='7.2.0.*|>=10.3.0|>=7.3.0|>=7.5.0|>=7.2.0|>=9.4.0']\n",
      "nspr -> libstdcxx-ng[version='>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "pyzmq -> zeromq[version='>=4.3.4,<4.4.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.5.0|>=9.4.0']\n",
      "harfbuzz -> icu[version='>=58.2,<59.0a0'] -> libstdcxx-ng=7.2.0\n",
      "zeromq -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=9.4.0']\n",
      "jupyter-dash==0.4.0 -> python[version='>=3.5'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "libglib -> gettext[version='>=0.19.8.1,<1.0a0'] -> libstdcxx-ng[version='>=7.3.0|>=7.5.0|>=9.3.0']\n",
      "cryptography -> python[version='>=3.9,<3.10.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "cloudpickle -> python[version='>=3.6'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "idna -> python[version='>=3.5'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "leptonica -> libtiff[version='>=4.1.0,<5.0a0'] -> libstdcxx-ng[version='>=7.3.0|>=7.5.0|>=9.3.0']\n",
      "itsdangerous -> python[version='>=3.6'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "gstreamer -> gettext -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.3.0']\n",
      "requests -> python[version='>=3.6'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "qt -> expat[version='>=2.2.6,<3.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=10.3.0|>=7.5.0|>=9.4.0|>=12']\n",
      "python_abi -> python=3.7 -> libstdcxx-ng[version='>=7.2.0|>=7.3.0|>=9.4.0']\n",
      "gettext -> libffi[version='>=3.2.1,<4.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.5.0|>=7.2.0']\n",
      "qt -> libstdcxx-ng[version='>=7.2.0|>=7.3.0|>=9.3.0']\n",
      "typing_extensions -> python[version='>=3.6'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "bottleneck -> numpy[version='>=1.16.6,<2.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=10.3.0|>=7.5.0|>=7.3.0|>=7.2.0|>=9.4.0']\n",
      "gst-plugins-base -> libstdcxx-ng[version='>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "pexpect -> python -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "protobuf -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=10.3.0']\n",
      "libedit -> ncurses[version='>=6.2,<7.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0']\n",
      "fonttools -> brotli[version='>=1.0.1'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "backports.functools_lru_cache -> python -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "debugpy -> python[version='>=3.9,<3.10.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=9.4.0']\n",
      "binutils_linux-64 -> binutils_impl_linux-64=2.33.1 -> libstdcxx-ng[version='>=4.9|>=7.3.0']\n",
      "packaging -> python[version='>=3.6'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "tesseract==4.1.1 -> libtiff[version='>=4.1.0,<5.0a0'] -> libstdcxx-ng[version='>=7.5.0|>=9.3.0']\n",
      "openh264 -> libstdcxx-ng[version='>=7.3.0|>=7.5.0']\n",
      "ffmpeg -> gmp[version='>=6.1.2'] -> libstdcxx-ng[version='>=7.5.0']\n",
      "libvorbis -> libstdcxx-ng[version='>=9.3.0']\n",
      "sqlite -> ncurses[version='>=6.2,<7.0a0'] -> libstdcxx-ng[version='>=7.3.0']\n",
      "brotlipy -> python[version='>=3.7,<3.8.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=9.4.0|>=7.5.0']\n",
      "nss -> libstdcxx-ng[version='>=12|>=7.3.0|>=7.5.0']\n",
      "matplotlib-base -> kiwisolver[version='>=1.0.1'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=8.4.0|>=9.4.0']\n",
      "tesseract==4.1.1 -> libstdcxx-ng[version='>=7.3.0']\n",
      "py-opencv -> opencv==4.5.4 -> libstdcxx-ng[version='7.2.0.*|>=10.3.0|>=7.5.0|>=9.4.0']\n",
      "python-dateutil -> python -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "libwebp -> libtiff[version='>=4.1.0,<5.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0']\n",
      "scikit-image==0.17.2 -> matplotlib-base[version='>=2.0.0'] -> libstdcxx-ng[version='7.2.0.*|>=10.3.0|>=7.5.0|>=8.4.0|>=7.2.0|>=9.4.0']\n",
      "pillow -> libtiff[version='>=4.1.0,<5.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=9.4.0|>=9.3.0']\n",
      "jupyter_client -> pyzmq[version='>=22.3'] -> libstdcxx-ng[version='7.2.0.*|>=10.3.0|>=7.5.0|>=7.3.0|>=7.2.0|>=9.4.0']\n",
      "gstreamer -> libstdcxx-ng[version='>=9.4.0']\n",
      "zipp -> python[version='>=3.7'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "proj4==5.2.0 -> libstdcxx-ng[version='>=7.3.0|>=7.5.0']\n",
      "gst-plugins-base -> libvorbis -> libstdcxx-ng[version='7.2.0.*|>=9.3.0']\n",
      "tensorflow-base -> libstdcxx-ng[version='>=5.4.0|>=7.5.0|>=7.2.0']\n",
      "libclang -> libllvm11[version='>=11.1.0,<11.2.0a0'] -> libstdcxx-ng[version='>=7.5.0|>=9.4.0']\n",
      "lcms2 -> libtiff[version='>=4.1.0,<5.0a0'] -> libstdcxx-ng[version='>=7.3.0|>=7.5.0']\n",
      "libarchive -> lz4-c[version='>=1.9.2,<1.10.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.3.0|>=7.5.0|>=9.3.0|>=7.2.0|>=10.3.0']\n",
      "matplotlib-inline -> python[version='>=3.6'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "graphite2 -> libstdcxx-ng[version='>=7.2.0|>=7.3.0|>=7.5.0']\n",
      "toolz -> python[version='>=3.5'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "scipy -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "charset-normalizer -> python[version='>=3.5'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "libffi -> libstdcxx-ng[version='7.2.0.*|>=7.3.0|>=7.5.0|>=7.2.0']\n",
      "pytorch==1.5.0 -> ninja -> libstdcxx-ng[version='>=10.3.0|>=7.2.0|>=7.5.0|>=9.4.0']\n",
      "ninja -> python -> libstdcxx-ng[version='7.2.0.*|>=9.4.0']\n",
      "backports -> python -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "cudatoolkit -> libstdcxx-ng[version='>=10.3.0|>=7.3.0|>=9.3.0']\n",
      "pillow -> libstdcxx-ng[version='>=7.5.0|>=8.4.0']\n",
      "gcc_linux-64 -> gcc_impl_linux-64=9.3.0 -> libstdcxx-ng[version='>=11.2.0|>=4.9|>=9.3.0|>=8.4.0|>=7.5.0|>=7.3.0|>=7.2.0|>=5.4.0']\n",
      "pytorch==1.5.0 -> libstdcxx-ng[version='>=7.3.0']\n",
      "psutil -> python[version='>=3.8,<3.9.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "mysql-libs -> libstdcxx-ng[version='>=9.3.0']\n",
      "imageio -> numpy -> libstdcxx-ng[version='7.2.0.*|>=10.3.0|>=7.5.0|>=8.4.0|>=7.3.0|>=7.2.0|>=9.4.0']\n",
      "keras-applications -> numpy[version='>=1.9.1'] -> libstdcxx-ng[version='7.2.0.*|>=10.3.0|>=7.5.0|>=7.3.0|>=7.2.0|>=9.4.0']\n",
      "pango -> cairo[version='>=1.14.12,<2.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0|>=9.3.0']\n",
      "readline -> ncurses[version='>=6.2,<7.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0']\n",
      "hdf5 -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.3.0']\n",
      "parso -> python[version='>=3.6'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "cython -> libstdcxx-ng[version='>=10.3.0|>=7.2.0|>=7.3.0|>=7.5.0']\n",
      "xlrd==1.2.0 -> python[version='>=3.7,<3.8.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=9.4.0|>=7.5.0']\n",
      "pcre -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.3.0']\n",
      "debugpy -> libstdcxx-ng[version='>=10.3.0|>=7.5.0']\n",
      "cffi -> libffi[version='>=3.3'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "libcurl -> krb5[version='>=1.19.2,<1.20.0a0'] -> libstdcxx-ng[version='>=10.3.0|>=7.5.0|>=7.3.0|>=7.2.0']\n",
      "decorator -> python[version='>=3.5'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "setuptools -> python[version='>=3.8,<3.9.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "krb5 -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=10.3.0']\n",
      "expat -> libstdcxx-ng[version='7.2.0.*|>=7.3.0|>=7.5.0|>=7.2.0|>=10.3.0']\n",
      "werkzeug -> python[version='>=3.6'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "nodejs==10.15.3 -> libstdcxx-ng[version='>=7.3.0']\n",
      "tifffile -> imagecodecs[version='>=2021.4.28'] -> libstdcxx-ng[version='7.2.0.*|>=10.3.0|>=7.3.0|>=7.5.0|>=7.2.0|>=9.4.0']\n",
      "xorg-libxpm -> gettext[version='>=0.19.8.1,<1.0a0'] -> libstdcxx-ng[version='>=7.3.0']\n",
      "pandas -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0']\n",
      "wcwidth -> python -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "numpy -> libstdcxx-ng[version='>=10.3.0|>=7.5.0']\n",
      "markdown -> python[version='>=3.9,<3.10.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "pickleshare -> python[version='>=3'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "lz4-c -> libstdcxx-ng[version='>=7.3.0|>=7.5.0|>=9.3.0']\n",
      "tqdm==4.60.0 -> python[version='>=2.7'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "cairo -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0']\n",
      "pywavelets -> numpy[version='>=1.21.2,<2.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=10.3.0|>=7.5.0|>=7.3.0|>=7.2.0|>=9.4.0']\n",
      "olefile -> python[version='>=3.5,<3.6.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "unicodedata2 -> python[version='>=3.8,<3.9.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "harfbuzz -> libstdcxx-ng[version='>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "backcall -> python -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "ninja -> libstdcxx-ng[version='>=10.3.0|>=7.2.0|>=7.3.0|>=7.5.0']\n",
      "gxx_linux-64==7.2.0 -> libstdcxx-ng==7.2.0=h24385c6_1\n",
      "imagecodecs-lite -> numpy[version='>=1.19.5,<2.0a0'] -> libstdcxx-ng[version='>=10.3.0|>=7.5.0|>=7.3.0|>=7.2.0|>=9.4.0']\n",
      "python~=3.7 -> libffi[version='>=3.2.1,<4.0a0'] -> libstdcxx-ng=7.2.0\n",
      "click -> python[version='>=3.7,<3.8.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=9.4.0|>=7.5.0']\n",
      "wheel -> python -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "partd -> python[version='>=3.5'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "gcc_impl_linux-64 -> libstdcxx-ng[version='>=11.2.0|>=4.9|>=9.3.0|>=8.4.0|>=7.5.0|>=7.3.0|>=7.2.0|>=5.4.0']\n",
      "tenacity -> python[version='>=3.6,<3.7.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "python~=3.7 -> libstdcxx-ng[version='>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "zstd -> libstdcxx-ng[version='>=7.3.0|>=7.5.0|>=9.3.0']\n",
      "numexpr -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "ipykernel -> debugpy[version='>=1.0.0,<2.0'] -> libstdcxx-ng[version='7.2.0.*|>=10.3.0|>=7.5.0|>=7.3.0|>=7.2.0|>=9.4.0']\n",
      "urllib3 -> python[version='>=3.9,<3.10.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "imutils==0.5.4 -> matplotlib-base -> libstdcxx-ng[version='7.2.0.*|>=10.3.0|>=7.3.0|>=7.5.0|>=9.3.0|>=7.2.0|>=9.4.0']\n",
      "gettext -> libstdcxx-ng[version='>=7.3.0']\n",
      "matplotlib-base -> libstdcxx-ng[version='>=10.3.0|>=7.3.0|>=7.5.0|>=9.3.0']\n",
      "dash -> python -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "astor -> python[version='>=3.6,<3.7.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "libpq -> krb5[version='>=1.19.2,<1.20.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=10.3.0|>=7.3.0|>=7.2.0']\n",
      "tensorboard -> grpcio[version='>=1.24.3'] -> libstdcxx-ng[version='7.2.0.*|>=10.3.0|>=12|>=7.5.0|>=9.4.0']\n",
      "tensorflow==1.14.0 -> libstdcxx-ng[version='>=5.4.0']\n",
      "keras-preprocessing -> numpy[version='>=1.9.1'] -> libstdcxx-ng[version='7.2.0.*|>=10.3.0|>=7.5.0|>=7.3.0|>=7.2.0|>=9.4.0']\n",
      "traitlets -> python[version='>=3.7'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "flask -> python[version='>=3.6'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "ibm_db==3.0.4 -> libstdcxx-ng[version='>=9.3.0']\n",
      "pyzmq -> libstdcxx-ng[version='>=10.3.0|>=7.3.0']\n",
      "py-opencv -> libstdcxx-ng[version='>=7.2.0|>=7.3.0']\n",
      "grpcio -> libstdcxx-ng[version='>=12|>=7.2.0|>=7.3.0|>=7.5.0']\n",
      "graphviz==2.40.1 -> libstdcxx-ng[version='>=7.2.0|>=7.3.0']\n",
      "nest-asyncio -> python[version='>=3.7,<3.8.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=9.4.0|>=7.5.0']\n",
      "retrying -> python[version='>=3.6,<3.7.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "pyproj -> proj[version='>=8.2.1'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0|>=10.3.0']\n",
      "pyparsing -> python[version='>=3.6'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "libxml2 -> icu[version='>=58.2,<59.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.3.0|>=7.2.0|>=9.4.0']\n",
      "icu -> libstdcxx-ng[version='7.2.0.*|>=7.3.0|>=7.2.0|>=9.4.0']\n",
      "ncurses -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0']\n",
      "networkx -> python[version='>=3.8'] -> libstdcxx-ng[version='7.2.0.*|>=10.3.0|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0|>=9.3.0']\n",
      "fsspec -> python[version='>=3.7'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "basemap==1.2.0 -> matplotlib-base[version='>=1.0.0'] -> libstdcxx-ng[version='7.2.0.*|>=10.3.0|>=7.5.0|>=9.3.0|>=7.2.0|>=9.4.0']\n",
      "fontconfig -> icu[version='>=58.2,<59.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.3.0|>=7.2.0|>=10.3.0']\n",
      "entrypoints -> python[version='>=3.8,<3.9.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "libopencv -> opencv==4.5.4 -> libstdcxx-ng[version='7.2.0.*|>=7.5.0|>=9.4.0|>=9.3.0']\n",
      "importlib-metadata -> python[version='>=3.7,<3.8.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=9.4.0|>=7.5.0']\n",
      "plotly -> python[version='>=3.6'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "graphviz==2.40.1 -> expat[version='>=2.2.5,<3.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.5.0|>=10.3.0|>=9.3.0']\n",
      "libopencv -> libstdcxx-ng[version='>=7.2.0|>=7.3.0']\n",
      "grpcio -> python[version='>=3.7,<3.8.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=10.3.0|>=9.4.0']\n",
      "ansi2html -> python[version='>=3.6,<3.7.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "pip -> python[version='>=3.9,<3.10.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "pygments -> python[version='>=3.5'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "libtiff -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0']\n",
      "pycocotools==2.0.2 -> cython -> libstdcxx-ng[version='>=10.3.0|>=7.2.0|>=7.3.0|>=7.5.0|>=9.3.0|>=9.4.0']\n",
      "gxx_impl_linux-64 -> gcc_impl_linux-64==9.3.0=h6df7d76_17 -> libstdcxx-ng[version='>=11.2.0|>=4.9|>=9.3.0|>=8.4.0|>=7.5.0|>=7.3.0|>=7.2.0|>=5.4.0']\n",
      "nss -> nspr[version='>=4.27'] -> libstdcxx-ng[version='>=9.4.0']\n",
      "cairo -> glib[version='>=2.67.4,<3.0a0'] -> libstdcxx-ng[version='>=7.5.0|>=9.4.0']\n",
      "libnghttp2 -> libstdcxx-ng[version='>=10.3.0|>=7.3.0|>=7.5.0']\n",
      "ptyprocess -> python -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "pysocks -> python[version='>=3.7,<3.8.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=9.4.0|>=7.5.0']\n",
      "six -> python -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "munkres -> python -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "google-pasta -> python -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "tensorflow-base -> abseil-cpp[version='>=20210324.2,<20210324.3.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=10.3.0|>=12|>=7.3.0|>=9.4.0']\n",
      "cycler -> python[version='>=3.6'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "wrapt -> python[version='>=3.9,<3.10.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "certifi -> python[version='>=3.7,<3.8.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=9.4.0|>=7.5.0']\n",
      "gast -> python -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "seaborn -> matplotlib[version='>=2.2'] -> libstdcxx-ng[version='7.2.0.*|>=10.3.0|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "ibm_db==3.0.4 -> python[version='>=3.7,<3.8.0a0'] -> libstdcxx-ng[version='>=7.2.0|>=7.3.0|>=9.4.0']\n",
      "libtiff -> zstd[version='>=1.4'] -> libstdcxx-ng[version='>=9.3.0']\n",
      "dask-core -> python[version='>=3.8'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "h5py -> hdf5[version='>=1.10.6,<1.10.7.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=10.3.0|>=7.3.0|>=7.5.0|>=7.2.0|>=9.4.0|>=9.3.0']\n",
      "tensorflow==1.14.0 -> python=3.6 -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "opencv==3.4.9 -> libopencv==3.4.9=py37_2 -> libstdcxx-ng[version='>=7.3.0']\n",
      "jedi -> python[version='>=3.8,<3.9.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "maven==3.6.0 -> openjdk -> libstdcxx-ng[version='>=7.5.0']\n",
      "binutils_impl_linux-64 -> libstdcxx-ng[version='>=4.9|>=7.3.0']\n",
      "brotli-python -> libstdcxx-ng[version='>=10.3.0|>=7.3.0']\n",
      "absl-py -> python -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "libclang -> libstdcxx-ng[version='>=7.3.0|>=9.3.0']\n",
      "cytoolz -> python[version='>=3.9,<3.10.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "ffmpeg -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0']\n",
      "prompt-toolkit -> python -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "dbus -> expat[version='>=2.2.10,<3.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=10.3.0|>=7.3.0|>=7.5.0|>=7.2.0|>=9.4.0']\n",
      "gnutls -> libstdcxx-ng[version='>=7.3.0|>=7.5.0']\n",
      "libllvm11 -> libstdcxx-ng[version='>=7.5.0|>=9.4.0']\n",
      "pyyaml -> python[version='>=3.7,<3.8.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=9.4.0|>=7.5.0']\n",
      "pandas -> numexpr[version='>=2.7.1'] -> libstdcxx-ng[version='>=10.3.0|>=9.4.0']\n",
      "scipy -> libopenblas[version='>=0.3.3,<1.0a0'] -> libstdcxx-ng[version='>=10.3.0|>=11.2.0']\n",
      "tbb -> libstdcxx-ng[version='>=10.3.0|>=7.2.0|>=7.3.0|>=7.5.0']\n",
      "mkl -> tbb=2021 -> libstdcxx-ng[version='>=10.3.0|>=7.3.0|>=7.5.0']\n",
      "libprotobuf -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=10.3.0']\n",
      "jinja2 -> python[version='>=3.6'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "gmp -> libstdcxx-ng[version='7.2.0.*|>=7.3.0|>=7.2.0|>=7.5.0']\n",
      "mysql-libs -> zstd[version='>=1.4.9,<1.5.0a0'] -> libstdcxx-ng[version='>=7.3.0']\n",
      "pyopenssl -> python[version='>=3.6'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "termcolor -> python[version='>=3.8,<3.9.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "cython -> python[version='>=3.7,<3.8.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=9.4.0']\n",
      "typing-extensions -> python -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "ipython -> python[version='>=3.9,<3.10.0a0'] -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "pytz -> python -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=9.4.0']\n",
      "geos -> libstdcxx-ng[version='7.2.0.*|>=7.3.0|>=7.5.0|>=7.2.0']\n",
      "scikit-image==0.17.2 -> libstdcxx-ng[version='>=7.3.0|>=9.3.0']\n",
      "kiwisolver -> libstdcxx-ng[version='7.2.0.*|>=7.2.0|>=7.3.0|>=7.5.0|>=10.3.0']\n",
      "\n",
      "Package cudatoolkit conflicts for:\n",
      "pytorch==1.5.0 -> cudatoolkit[version='>=10.2,<10.3']\n",
      "tensorflow-estimator -> tensorflow-base[version='>=2.4.1,<2.5.0a0'] -> cudatoolkit[version='>=10.0.130,<10.1.0a0|>=10.1.243,<10.2.0a0|>=10.1.168,<10.2.0a0|>=9.2,<9.3.0a0|>=9.0,<9.1.0a0']\n",
      "tensorflow-base -> cudatoolkit[version='8.0.*|9.0.*|9.2.*|>=10.0.130,<10.1.0a0|>=10.1.243,<10.2.0a0|>=10.1.168,<10.2.0a0|>=9.2,<9.3.0a0|>=9.0,<9.1.0a0']\n",
      "tensorflow-base -> cudnn[version='>=7.6,<8.0a0'] -> cudatoolkit[version='10.0.*|>=10.0,<10.1|>=10.1,<10.2|>=9.0,<9.1|>=9.2,<9.3|>=10.2,<10.3|>=11.3,<11.4|9.*|8.*']\n",
      "tensorflow==1.14.0 -> tensorflow-base==1.14.0=gpu_py36he45bfe2_0 -> cudatoolkit[version='>=10.0.130,<10.1.0a0|>=10.1.168,<10.2.0a0|>=9.2,<9.3.0a0|>=9.0,<9.1.0a0']\n",
      "\n",
      "Package xz conflicts for:\n",
      "fonttools -> python[version='>=3.6'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "wheel -> python -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "zipp -> python[version='>=3.7'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "numpy -> python[version='>=3.8,<3.9.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "libtiff -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.4,<5.3.0a0']\n",
      "libwebp -> libtiff[version='>=4.1.0,<5.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<5.3.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0']\n",
      "tensorflow-estimator -> python -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "charset-normalizer -> python[version='>=3.5'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "flask-compress -> python[version='>=2.7'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "six -> python -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "idna -> python[version='>=3.5'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "python~=3.7 -> xz[version='>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "setuptools -> python[version='>=3.10,<3.11.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "cffi -> python[version='>=3.10,<3.11.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "pyyaml -> python[version='>=3.7,<3.8.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "ipykernel -> python[version='>=3.10,<3.11.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "ninja -> python -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "libtiff -> zstd[version='>=1.4'] -> xz[version='>=5.2.5,<5.3.0a0']\n",
      "seaborn -> python[version='>=3.6'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "werkzeug -> python[version='>=3.6'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "cloudpickle -> python[version='>=3.6'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "retrying -> python[version='>=3.6,<3.7.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "pexpect -> python -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "zstd -> xz[version='>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "grpcio -> python[version='>=3.9,<3.10.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "libarchive -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "prompt-toolkit -> python -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "termcolor -> python[version='>=3.10,<3.11.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "wrapt -> python[version='>=3.10,<3.11.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "jupyter_client -> python[version='>=3.10,<3.11.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "brotlipy -> python[version='>=3.7,<3.8.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "packaging -> python[version='>=3.6'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "entrypoints -> python[version='>=3.8,<3.9.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "pyproj -> python[version='>=3.9,<3.10.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "graphviz==2.40.1 -> cairo[version='>=1.14.12,<2.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.5,<6.0a0|>=5.2.4,<5.3.0a0|>=5.2.5,<5.3.0a0']\n",
      "matplotlib-inline -> python[version='>=3.6'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "lcms2 -> libtiff[version='>=4.1.0,<5.0a0'] -> xz[version='>=5.2.4,<5.3.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0']\n",
      "imagecodecs-lite -> python[version='>=3.7,<3.8.0a0'] -> xz[version='>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "pytz -> python -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "kiwisolver -> python[version='>=3.8,<3.9.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "pyshp -> python -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "protobuf -> python[version='>=3.8,<3.9.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "gst-plugins-base -> xz[version='>=5.2.3,<6.0a0']\n",
      "imutils==0.5.4 -> python[version='>=3.7,<3.8.0a0'] -> xz[version='>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "psutil -> python[version='>=3.10,<3.11.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "h5py -> python[version='>=3.10,<3.11.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "gettext -> libxml2[version='>=2.9.10,<2.10.0a0'] -> xz[version='>=5.2.5,<5.3.0a0|>=5.2.5,<6.0a0']\n",
      "pango -> cairo[version='>=1.14.12,<2.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "bottleneck -> python[version='>=3.8,<3.9.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "leptonica -> libtiff[version='>=4.1.0,<5.0a0'] -> xz[version='>=5.2.4,<6.0a0|>=5.2.5,<6.0a0']\n",
      "jupyter-dash==0.4.0 -> python[version='>=3.5'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "tensorflow==1.14.0 -> python=3.6 -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "graphviz==2.40.1 -> xz[version='>=5.2.4,<6.0a0']\n",
      "parso -> python[version='>=3.6'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "pyparsing -> python[version='>=3.6'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "py-opencv -> python[version='>=3.7,<3.8.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "backcall -> python -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "keras-preprocessing -> python[version='>=3.6'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "matplotlib-base -> python[version='>=3.8,<3.9.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "libxkbcommon -> libxml2[version='>=2.9.12,<2.10.0a0'] -> xz[version='>=5.2.5,<5.3.0a0|>=5.2.5,<6.0a0']\n",
      "tesseract==4.1.1 -> libarchive[version='>=3.3.3,<3.6.0a0'] -> xz[version='>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "libxml2 -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "certifi -> python[version='>=3.7,<3.8.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "plotly -> python[version='>=3.6'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "tensorflow-base -> python[version='>=3.9,<3.10.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "cryptography -> python[version='>=3.10,<3.11.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "pyopenssl -> python[version='>=3.6'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "typing-extensions -> python -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "pillow -> libtiff[version='>=4.1.0,<5.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<5.3.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "backports -> python -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "ipython -> python[version='>=3.9,<3.10.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "pywavelets -> python[version='>=3.10,<3.11.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "scipy -> python[version='>=3.7,<3.8.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "tifffile -> imagecodecs[version='>=2021.4.28'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "cython -> python[version='>=3.9,<3.10.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "nest-asyncio -> python[version='>=3.7,<3.8.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "munkres -> python -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "google-pasta -> python -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "toolz -> python[version='>=3.5'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "locket -> python[version='>=3.9,<3.10.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "urllib3 -> python[version='>=3.9,<3.10.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "ibm_db==3.0.4 -> libxml2[version='>=2.9.10,<2.10.0a0'] -> xz[version='>=5.2.4,<6.0a0|>=5.2.5,<5.3.0a0|>=5.2.5,<6.0a0']\n",
      "gast -> python -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "dask-core -> python[version='>=3.8'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "tenacity -> python[version='>=3.10,<3.11.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "dash -> python -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "tensorboard -> python[version='>=3.2'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "backports.functools_lru_cache -> python -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "basemap==1.2.0 -> python[version='>=3.6,<3.7.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "imageio -> python[version='>=3'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "traitlets -> python[version='>=3.7'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "flask -> python[version='>=3.6'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "pickleshare -> python[version='>=3'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "olefile -> python[version='>=3.5,<3.6.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "itsdangerous -> python[version='>=3.6'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "absl-py -> python -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "brotli-python -> python[version='>=3.8,<3.9.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "leptonica -> xz[version='>=5.2.4,<5.3.0a0']\n",
      "unicodedata2 -> python[version='>=3.10,<3.11.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "requests -> python[version='>=3.6'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "xlrd==1.2.0 -> python[version='>=3.7,<3.8.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "typing_extensions -> python[version='>=3.6'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "pango -> xz[version='>=5.2.4,<6.0a0|>=5.2.5,<6.0a0']\n",
      "harfbuzz -> cairo[version='>=1.14.12,<2.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0']\n",
      "libopencv -> libtiff[version='>=4.0.9,<5.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.4,<5.3.0a0']\n",
      "wcwidth -> python -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "cairo -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0']\n",
      "gstreamer -> xz[version='>=5.2.3,<6.0a0']\n",
      "tqdm==4.60.0 -> python[version='>=2.7'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "jedi -> python[version='>=3.10,<3.11.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "pysocks -> python[version='>=3.7,<3.8.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "tornado -> python[version='>=3.10,<3.11.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "pytorch==1.5.0 -> python[version='>=3.7,<3.8.0a0'] -> xz[version='>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "fontconfig -> libxml2[version='>=2.9.10,<2.10.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<5.3.0a0|>=5.2.5,<6.0a0']\n",
      "python_abi -> python=3.7 -> xz[version='>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "tesseract==4.1.1 -> xz[version='>=5.2.4,<5.3.0a0']\n",
      "partd -> python[version='>=3.5'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "pycocotools==2.0.2 -> python[version='>=3.7,<3.8.0a0'] -> xz[version='>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "pygments -> python[version='>=3.5'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "pandas -> python[version='>=3.10,<3.11.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "networkx -> python[version='>=3.8'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "cycler -> python[version='>=3.6'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "pyzmq -> python[version='>=3.10,<3.11.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "qt -> gst-plugins-base[version='>=1.14.0,<1.15.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.5,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "importlib-metadata -> python[version='>=3.10,<3.11.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "pip -> python[version='>=3.10,<3.11.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "cytoolz -> python[version='>=3.10,<3.11.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "click -> python[version='>=3.10,<3.11.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "pycparser -> python[version='>=3.6'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "astor -> python[version='>=3.10,<3.11.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "jinja2 -> python[version='>=3.6'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "decorator -> python[version='>=3.5'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "openjpeg -> libtiff[version='>=4.1.0,<5.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<5.3.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0']\n",
      "scikit-image==0.17.2 -> python[version='>=3.9,<3.10.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "debugpy -> python[version='>=3.10,<3.11.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "ptyprocess -> python -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "ansi2html -> python[version='>=3.10,<3.11.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "fsspec -> python[version='>=3.7'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "numexpr -> python[version='>=3.8,<3.9.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "mysql-libs -> zstd[version='>=1.4.9,<1.5.0a0'] -> xz[version='>=5.2.5,<5.3.0a0|>=5.2.5,<6.0a0']\n",
      "keras-applications -> python -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "python-dateutil -> python -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "markdown -> python[version='>=3.10,<3.11.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "markupsafe -> python[version='>=3.10,<3.11.0a0'] -> xz[version='>=5.2.3,<6.0a0|>=5.2.4,<6.0a0|>=5.2.5,<6.0a0|>=5.2.5,<5.3.0a0']\n",
      "\n",
      "Package ld_impl_linux-64 conflicts for:\n",
      "python~=3.7 -> ld_impl_linux-64[version='>=2.34']\n",
      "requests -> python[version='>=3.6'] -> ld_impl_linux-64[version='>=2.34']\n",
      "retrying -> python[version='>=3.6,<3.7.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "typing_extensions -> python[version='>=3.6'] -> ld_impl_linux-64[version='>=2.34']\n",
      "importlib-metadata -> python[version='>=3.10,<3.11.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "traitlets -> python[version='>=3.7'] -> ld_impl_linux-64[version='>=2.34']\n",
      "ibm_db==3.0.4 -> python[version='>=3.7,<3.8.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "numpy -> python[version='>=3.8,<3.9.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "click -> python[version='>=3.10,<3.11.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "scipy -> python[version='>=3.7,<3.8.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "astor -> python[version='>=3.10,<3.11.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "tqdm==4.60.0 -> python[version='>=2.7'] -> ld_impl_linux-64[version='>=2.34']\n",
      "jinja2 -> python[version='>=3.6'] -> ld_impl_linux-64[version='>=2.34']\n",
      "keras-applications -> python -> ld_impl_linux-64[version='>=2.34']\n",
      "six -> python -> ld_impl_linux-64[version='>=2.34']\n",
      "gcc_impl_linux-64 -> binutils_impl_linux-64[version='>=2.35.1'] -> ld_impl_linux-64[version='2.33.1|2.35.1|2.38|2.38',build='h1181459_0|h7274673_9|h1181459_1|h53a641e_7']\n",
      "pysocks -> python[version='>=3.7,<3.8.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "google-pasta -> python -> ld_impl_linux-64[version='>=2.34']\n",
      "olefile -> python[version='>=3.6,<3.7.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "markupsafe -> python[version='>=3.10,<3.11.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "wheel -> python -> ld_impl_linux-64[version='>=2.34']\n",
      "gast -> python -> ld_impl_linux-64[version='>=2.34']\n",
      "pygments -> python[version='>=3.5'] -> ld_impl_linux-64[version='>=2.34']\n",
      "pandas -> python[version='>=3.10,<3.11.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "kiwisolver -> python[version='>=3.8,<3.9.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "seaborn -> python[version='>=3.6'] -> ld_impl_linux-64[version='>=2.34']\n",
      "cloudpickle -> python[version='>=3.6'] -> ld_impl_linux-64[version='>=2.34']\n",
      "pyopenssl -> python[version='>=3.6'] -> ld_impl_linux-64[version='>=2.34']\n",
      "pyzmq -> python[version='>=3.10,<3.11.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "termcolor -> python[version='>=3.10,<3.11.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "idna -> python[version='>=3.5'] -> ld_impl_linux-64[version='>=2.34']\n",
      "pycparser -> python[version='>=3.6'] -> ld_impl_linux-64[version='>=2.34']\n",
      "decorator -> python[version='>=3.5'] -> ld_impl_linux-64[version='>=2.34']\n",
      "keras-preprocessing -> python[version='>=3.6'] -> ld_impl_linux-64[version='>=2.34']\n",
      "brotlipy -> python[version='>=3.7,<3.8.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "tensorflow==1.14.0 -> python=3.6 -> ld_impl_linux-64[version='>=2.34']\n",
      "fsspec -> python[version='>=3.7'] -> ld_impl_linux-64[version='>=2.34']\n",
      "matplotlib-base -> python[version='>=3.8,<3.9.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "numexpr -> python[version='>=3.8,<3.9.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "markdown -> python[version='>=3.10,<3.11.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "wrapt -> python[version='>=3.10,<3.11.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "bottleneck -> python[version='>=3.8,<3.9.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "tensorflow-estimator -> python -> ld_impl_linux-64[version='>=2.34']\n",
      "tensorflow-base -> python[version='>=3.9,<3.10.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "pycocotools==2.0.2 -> python[version='>=3.7,<3.8.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "jedi -> python[version='>=3.10,<3.11.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "toolz -> python[version='>=3.5'] -> ld_impl_linux-64[version='>=2.34']\n",
      "typing-extensions -> python -> ld_impl_linux-64[version='>=2.34']\n",
      "itsdangerous -> python[version='>=3.6'] -> ld_impl_linux-64[version='>=2.34']\n",
      "pyyaml -> python[version='>=3.7,<3.8.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "pytz -> python -> ld_impl_linux-64[version='>=2.34']\n",
      "ipykernel -> python[version='>=3.10,<3.11.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "imutils==0.5.4 -> python[version='>=3.7,<3.8.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "locket -> python[version='>=3.9,<3.10.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "pexpect -> python -> ld_impl_linux-64[version='>=2.34']\n",
      "pillow -> python[version='>=3.10,<3.11.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "tenacity -> python[version='>=3.10,<3.11.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "parso -> python[version='>=3.6'] -> ld_impl_linux-64[version='>=2.34']\n",
      "backports.functools_lru_cache -> python -> ld_impl_linux-64[version='>=2.34']\n",
      "debugpy -> python[version='>=3.10,<3.11.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "absl-py -> python -> ld_impl_linux-64[version='>=2.34']\n",
      "binutils_impl_linux-64 -> ld_impl_linux-64[version='2.33.1|2.35.1|2.38|2.38',build='h7274673_9|h53a641e_7|h1181459_1|h1181459_0']\n",
      "grpcio -> python[version='>=3.9,<3.10.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "prompt-toolkit -> python -> ld_impl_linux-64[version='>=2.34']\n",
      "wcwidth -> python -> ld_impl_linux-64[version='>=2.34']\n",
      "zipp -> python[version='>=3.7'] -> ld_impl_linux-64[version='>=2.34']\n",
      "pyproj -> python[version='>=3.9,<3.10.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "ptyprocess -> python -> ld_impl_linux-64[version='>=2.34']\n",
      "py-opencv -> python[version='>=3.7,<3.8.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "matplotlib-inline -> python[version='>=3.6'] -> ld_impl_linux-64[version='>=2.34']\n",
      "binutils_linux-64 -> binutils_impl_linux-64=2.35.1 -> ld_impl_linux-64[version='2.33.1|2.35.1|2.38|2.38',build='h7274673_9|h53a641e_7|h1181459_1|h1181459_0']\n",
      "packaging -> python[version='>=3.6'] -> ld_impl_linux-64[version='>=2.34']\n",
      "backports -> python -> ld_impl_linux-64[version='>=2.34']\n",
      "python_abi -> python=3.7 -> ld_impl_linux-64[version='>=2.34']\n",
      "cryptography -> python[version='>=3.10,<3.11.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "ninja -> python -> ld_impl_linux-64[version='>=2.34']\n",
      "protobuf -> python[version='>=3.8,<3.9.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "networkx -> python[version='>=3.8'] -> ld_impl_linux-64[version='>=2.34']\n",
      "werkzeug -> python[version='>=3.6'] -> ld_impl_linux-64[version='>=2.34']\n",
      "xlrd==1.2.0 -> python[version='>=3.7,<3.8.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "h5py -> python[version='>=3.10,<3.11.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "jupyter-dash==0.4.0 -> python[version='>=3.5'] -> ld_impl_linux-64[version='>=2.34']\n",
      "tensorboard -> python[version='>=3.2'] -> ld_impl_linux-64[version='>=2.34']\n",
      "munkres -> python -> ld_impl_linux-64[version='>=2.34']\n",
      "pip -> python[version='>=3.10,<3.11.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "cycler -> python[version='>=3.6'] -> ld_impl_linux-64[version='>=2.34']\n",
      "backcall -> python -> ld_impl_linux-64[version='>=2.34']\n",
      "dask-core -> python[version='>=3.8'] -> ld_impl_linux-64[version='>=2.34']\n",
      "imageio -> python[version='>=3'] -> ld_impl_linux-64[version='>=2.34']\n",
      "cytoolz -> python[version='>=3.10,<3.11.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "ansi2html -> python[version='>=3.10,<3.11.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "pyshp -> python -> ld_impl_linux-64[version='>=2.34']\n",
      "unicodedata2 -> python[version='>=3.10,<3.11.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "python-dateutil -> python -> ld_impl_linux-64[version='>=2.34']\n",
      "certifi -> python[version='>=3.7,<3.8.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "pywavelets -> python[version='>=3.10,<3.11.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "fonttools -> python[version='>=3.6'] -> ld_impl_linux-64[version='>=2.34']\n",
      "pytorch==1.5.0 -> python[version='>=3.7,<3.8.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "psutil -> python[version='>=3.10,<3.11.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "cython -> python[version='>=3.9,<3.10.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "imagecodecs-lite -> python[version='>=3.7,<3.8.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "tornado -> python[version='>=3.10,<3.11.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "flask-compress -> python[version='>=2.7'] -> ld_impl_linux-64[version='>=2.34']\n",
      "ipython -> python[version='>=3.9,<3.10.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "charset-normalizer -> python[version='>=3.5'] -> ld_impl_linux-64[version='>=2.34']\n",
      "pyparsing -> python[version='>=3.6'] -> ld_impl_linux-64[version='>=2.34']\n",
      "setuptools -> python[version='>=3.10,<3.11.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "urllib3 -> python[version='>=3.9,<3.10.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "nest-asyncio -> python[version='>=3.7,<3.8.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "partd -> python[version='>=3.5'] -> ld_impl_linux-64[version='>=2.34']\n",
      "dash -> python -> ld_impl_linux-64[version='>=2.34']\n",
      "tifffile -> python[version='>=3.7'] -> ld_impl_linux-64[version='>=2.34']\n",
      "scikit-image==0.17.2 -> python[version='>=3.9,<3.10.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "jupyter_client -> python[version='>=3.10,<3.11.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "basemap==1.2.0 -> python[version='>=3.6,<3.7.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "flask -> python[version='>=3.6'] -> ld_impl_linux-64[version='>=2.34']\n",
      "pickleshare -> python[version='>=3'] -> ld_impl_linux-64[version='>=2.34']\n",
      "entrypoints -> python[version='>=3.8,<3.9.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "cffi -> python[version='>=3.10,<3.11.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "brotli-python -> python[version='>=3.8,<3.9.0a0'] -> ld_impl_linux-64[version='>=2.34']\n",
      "plotly -> python[version='>=3.6'] -> ld_impl_linux-64[version='>=2.34']\n",
      "\n",
      "Package certifi conflicts for:\n",
      "jinja2 -> setuptools -> certifi[version='>=2016.09|>=2016.9.26']\n",
      "requests -> certifi[version='>=2017.4.17']\n",
      "ansi2html -> setuptools -> certifi[version='>=2016.09|>=2016.9.26']\n",
      "ibm_db==3.0.4 -> setuptools -> certifi[version='>=2016.09|>=2016.9.26']\n",
      "pyproj -> certifi\n",
      "cython -> setuptools -> certifi[version='>=2016.09|>=2016.9.26']\n",
      "pip -> setuptools -> certifi[version='>=2016.09|>=2016.9.26']\n",
      "ipykernel -> tornado[version='>=4.2,<7.0'] -> certifi\n",
      "numexpr -> setuptools -> certifi[version='>=2016.09|>=2016.9.26']\n",
      "protobuf -> setuptools -> certifi[version='>=2016.09|>=2016.9.26']\n",
      "tornado -> certifi\n",
      "ipython -> setuptools[version='>=18.5'] -> certifi[version='>=2016.09|>=2016.9.26']\n",
      "jupyter_client -> tornado[version='>=4.1'] -> certifi\n",
      "matplotlib-base -> setuptools -> certifi[version='>=2016.09|>=2016.9.26']\n",
      "imutils==0.5.4 -> matplotlib-base -> certifi[version='>=2020.06.20']\n",
      "requests -> urllib3[version='>=1.21.1,<1.27'] -> certifi\n",
      "pygments -> setuptools -> certifi[version='>=2016.09|>=2016.9.26']\n",
      "jupyter-dash==0.4.0 -> requests -> certifi[version='>=2017.4.17']\n",
      "dash -> setuptools -> certifi[version='>=2016.09|>=2016.9.26']\n",
      "backports.functools_lru_cache -> setuptools -> certifi[version='>=2016.09|>=2016.9.26']\n",
      "pycocotools==2.0.2 -> matplotlib-base -> certifi[version='>=2020.06.20']\n",
      "basemap==1.2.0 -> matplotlib-base[version='>=1.0.0'] -> certifi[version='>=2020.06.20']\n",
      "wheel -> setuptools -> certifi[version='>=2016.09|>=2016.9.26']\n",
      "tensorboard -> requests[version='>=2.21.0'] -> certifi[version='>=2016.09|>=2016.9.26|>=2017.4.17']\n",
      "setuptools -> certifi[version='>=2016.09|>=2016.9.26']\n",
      "urllib3 -> certifi\n",
      "matplotlib-base -> certifi[version='>=2020.06.20']\n",
      "networkx -> setuptools -> certifi[version='>=2016.09|>=2016.9.26|>=2020.06.20']\n",
      "scikit-image==0.17.2 -> matplotlib-base[version='>=2.0.0'] -> certifi[version='>=2020.06.20']\n",
      "grpcio -> setuptools -> certifi[version='>=2016.09|>=2016.9.26']\n",
      "markdown -> setuptools -> certifi[version='>=2016.09|>=2016.9.26']\n",
      "plotly -> setuptools -> certifi[version='>=2016.09|>=2016.9.26|>=2017.4.17']\n",
      "\n",
      "Package libtiff conflicts for:\n",
      "tifffile -> imagecodecs[version='>=2021.4.28'] -> libtiff[version='>=4.1.0,<5.0a0']\n",
      "lcms2 -> libtiff[version='>=4.1.0,<5.0a0']\n",
      "libwebp -> libtiff[version='>=4.0.9,<5.0a0|>=4.1.0,<5.0a0']\n",
      "opencv==3.4.9 -> libopencv==3.4.9=py37_2 -> libtiff[version='>=4.1.0,<5.0a0']\n",
      "libopencv -> libtiff[version='>=4.0.9,<5.0a0|>=4.1.0,<5.0a0']\n",
      "graphviz==2.40.1 -> libtiff[version='>=4.0.9,<5.0a0|>=4.1.0,<5.0a0']\n",
      "imageio -> pillow -> libtiff[version='>=4.0.10,<5.0a0|>=4.1.0,<5.0a0|>=4.0.9,<5.0a0|>=4.0.8,<5.0a0']\n",
      "tesseract==4.1.1 -> libtiff[version='>=4.1.0,<5.0a0']\n",
      "matplotlib-base -> pillow[version='>=6.2.0'] -> libtiff[version='>=4.0.10,<5.0a0|>=4.1.0,<5.0a0']\n",
      "pyproj -> proj[version='>=8.2.1'] -> libtiff[version='>=4.1.0,<5.0a0']\n",
      "pillow -> libtiff[version='>=4.0.10,<5.0a0|>=4.1.0,<5.0a0|>=4.0.9,<5.0a0|>=4.0.8,<5.0a0']\n",
      "imutils==0.5.4 -> opencv -> libtiff[version='>=4.0.9,<5.0a0|>=4.1.0,<5.0a0']\n",
      "scikit-image==0.17.2 -> pillow[version='>=4.3.0'] -> libtiff[version='>=4.0.10,<5.0a0|>=4.1.0,<5.0a0|>=4.0.9,<5.0a0']\n",
      "py-opencv -> opencv==4.5.4 -> libtiff[version='>=4.0.9,<5.0a0|>=4.1.0,<5.0a0']\n",
      "openjpeg -> libtiff[version='>=4.0.8,<5.0a0|>=4.0.9,<5.0a0|>=4.1.0,<5.0a0']\n",
      "leptonica -> libtiff[version='>=4.1.0,<5.0a0']\n",
      "\n",
      "Package ncurses conflicts for:\n",
      "pysocks -> python[version='>=3.7,<3.8.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "pycparser -> python[version='>=3.6'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "cffi -> python[version='>=3.10,<3.11.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "krb5 -> libedit[version='>=3.1.20210216,<3.2.0a0'] -> ncurses[version='6.0.*|>=6.1,<7.0a0|>=6.2,<7.0.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0']\n",
      "pyyaml -> python[version='>=3.7,<3.8.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "gast -> python -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "pandas -> python[version='>=3.10,<3.11.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "tifffile -> python[version='>=3.7'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "libedit -> ncurses[version='6.0.*|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "ninja -> python -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "networkx -> python[version='>=3.8'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "seaborn -> python[version='>=3.6'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "imutils==0.5.4 -> python[version='>=3.7,<3.8.0a0'] -> ncurses[version='>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "werkzeug -> python[version='>=3.6'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "cloudpickle -> python[version='>=3.6'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "pyzmq -> python[version='>=3.10,<3.11.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "retrying -> python[version='>=3.6,<3.7.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "pexpect -> python -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "prompt-toolkit -> python -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "termcolor -> python[version='>=3.10,<3.11.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "jupyter_client -> python[version='>=3.10,<3.11.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "cytoolz -> python[version='>=3.10,<3.11.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "entrypoints -> python[version='>=3.8,<3.9.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "pyproj -> python[version='>=3.9,<3.10.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "jinja2 -> python[version='>=3.6'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "pytz -> python -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "ptyprocess -> python -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "fsspec -> python[version='>=3.7'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "certifi -> python[version='>=3.7,<3.8.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "markdown -> python[version='>=3.10,<3.11.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "qt -> sqlite[version='>=3.25.3,<4.0a0'] -> ncurses[version='>=6.2,<7.0a0|>=6.3,<7.0a0']\n",
      "psutil -> python[version='>=3.10,<3.11.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "h5py -> python[version='>=3.10,<3.11.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "bottleneck -> python[version='>=3.8,<3.9.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "jupyter-dash==0.4.0 -> python[version='>=3.5'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "flask-compress -> python[version='>=2.7'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "idna -> python[version='>=3.5'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "parso -> python[version='>=3.6'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "pyparsing -> python[version='>=3.6'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "setuptools -> python[version='>=3.10,<3.11.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "imagecodecs-lite -> python[version='>=3.7,<3.8.0a0'] -> ncurses[version='>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "keras-preprocessing -> python[version='>=3.6'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "decorator -> python[version='>=3.5'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "ipykernel -> python[version='>=3.10,<3.11.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "nss -> sqlite[version='>=3.37.0,<4.0a0'] -> ncurses[version='>=6.2,<7.0a0|>=6.3,<7.0a0']\n",
      "matplotlib-base -> python[version='>=3.8,<3.9.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "pycocotools==2.0.2 -> python[version='>=3.7,<3.8.0a0'] -> ncurses[version='>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "plotly -> python[version='>=3.6'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "ansi2html -> python[version='>=3.10,<3.11.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "cryptography -> python[version='>=3.10,<3.11.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "pyopenssl -> python[version='>=3.6'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "typing-extensions -> python -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "grpcio -> python[version='>=3.9,<3.10.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "ipython -> python[version='>=3.9,<3.10.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "wrapt -> python[version='>=3.10,<3.11.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "python~=3.7 -> ncurses[version='>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "scipy -> python[version='>=3.7,<3.8.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "zipp -> python[version='>=3.7'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "ibm_db==3.0.4 -> python[version='>=3.7,<3.8.0a0'] -> ncurses[version='>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "cython -> python[version='>=3.9,<3.10.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "munkres -> python -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "matplotlib-inline -> python[version='>=3.6'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "google-pasta -> python -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "toolz -> python[version='>=3.5'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "python_abi -> python=3.7 -> ncurses[version='>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "libpq -> readline[version='>=8.0,<9.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "sqlite -> readline[version='>=8.0,<9.0a0'] -> ncurses[version='6.0.*|>=6.1,<7.0a0|>=6.2,<7.0.0a0']\n",
      "kiwisolver -> python[version='>=3.8,<3.9.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "tensorboard -> python[version='>=3.2'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "basemap==1.2.0 -> python[version='>=3.6,<3.7.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "flask -> python[version='>=3.6'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "pytorch==1.5.0 -> python[version='>=3.7,<3.8.0a0'] -> ncurses[version='>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "readline -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "protobuf -> python[version='>=3.8,<3.9.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "itsdangerous -> python[version='>=3.6'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "absl-py -> python -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "brotli-python -> python[version='>=3.8,<3.9.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "xlrd==1.2.0 -> python[version='>=3.7,<3.8.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "typing_extensions -> python[version='>=3.6'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "python~=3.7 -> readline[version='>=7.0,<8.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0']\n",
      "brotlipy -> python[version='>=3.7,<3.8.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "tensorflow==1.14.0 -> python=3.6 -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "wcwidth -> python -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "jedi -> python[version='>=3.10,<3.11.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "py-opencv -> python[version='>=3.7,<3.8.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "backcall -> python -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "tornado -> python[version='>=3.10,<3.11.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "pyshp -> python -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "nest-asyncio -> python[version='>=3.7,<3.8.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "partd -> python[version='>=3.5'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "pygments -> python[version='>=3.5'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "tensorflow-base -> python[version='>=3.9,<3.10.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "backports -> python -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "python-dateutil -> python -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "pywavelets -> python[version='>=3.10,<3.11.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "importlib-metadata -> python[version='>=3.10,<3.11.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "traitlets -> python[version='>=3.7'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "pip -> python[version='>=3.10,<3.11.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "click -> python[version='>=3.10,<3.11.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "astor -> python[version='>=3.10,<3.11.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "locket -> python[version='>=3.9,<3.10.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "urllib3 -> python[version='>=3.9,<3.10.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "dask-core -> python[version='>=3.8'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "pillow -> python[version='>=3.10,<3.11.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "tenacity -> python[version='>=3.10,<3.11.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "dash -> python -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "backports.functools_lru_cache -> python -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "scikit-image==0.17.2 -> python[version='>=3.9,<3.10.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "debugpy -> python[version='>=3.10,<3.11.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "imageio -> python[version='>=3'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "pickleshare -> python[version='>=3'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "numexpr -> python[version='>=3.8,<3.9.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "keras-applications -> python -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "olefile -> python[version='>=3.5,<3.6.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "sqlite -> ncurses[version='>=6.2,<7.0a0|>=6.3,<7.0a0']\n",
      "markupsafe -> python[version='>=3.10,<3.11.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "unicodedata2 -> python[version='>=3.10,<3.11.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "requests -> python[version='>=3.6'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "fonttools -> python[version='>=3.6'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "wheel -> python -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "numpy -> python[version='>=3.8,<3.9.0a0'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "cycler -> python[version='>=3.6'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "tqdm==4.60.0 -> python[version='>=2.7'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "tensorflow-estimator -> python -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "charset-normalizer -> python[version='>=3.5'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "packaging -> python[version='>=3.6'] -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "six -> python -> ncurses[version='6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0|>=6.2,<7.0a0|>=6.3,<7.0a0|>=6.2,<7.0.0a0']\n",
      "\n",
      "Package bzip2 conflicts for:\n",
      "bottleneck -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "plotly -> python[version='>=3.6'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "cryptography -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "unicodedata2 -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "ninja -> python -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "pyopenssl -> python[version='>=3.6'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "tesseract==4.1.1 -> libarchive[version='>=3.3.3,<3.6.0a0'] -> bzip2[version='>=1.0.6,<2.0a0|>=1.0.8,<2.0a0']\n",
      "typing-extensions -> python -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "urllib3 -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "pyproj -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "six -> python -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "munkres -> python -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "google-pasta -> python -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "toolz -> python[version='>=3.5'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "cffi -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "entrypoints -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "retrying -> python -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "backcall -> python -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "gast -> python -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "dask-core -> python[version='>=3.8'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "pyyaml -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "matplotlib-base -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "brotlipy -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "imageio -> python[version='>=3'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "absl-py -> python -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "ansi2html -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "requests -> python[version='>=3.6'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "certifi -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "wcwidth -> python -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "scipy -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "tqdm==4.60.0 -> python[version='>=2.7'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "kiwisolver -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "jedi -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "tornado -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "flask-compress -> python[version='>=2.7'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "pytz -> python -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "pywavelets -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "pyparsing -> python[version='>=3.6'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "tenacity -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "partd -> python[version='>=3.5'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "networkx -> python[version='>=3.8'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "protobuf -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "ipykernel -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "itsdangerous -> python[version='>=3.6'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "pyzmq -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "dash -> python -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "h5py -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "python~=3.7 -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "importlib-metadata -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "flask -> python[version='>=3.6'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "idna -> python[version='>=3.5'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "click -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "astor -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "backports -> python -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "libarchive -> bzip2[version='>=1.0.6,<2.0a0|>=1.0.8,<2.0a0']\n",
      "pyshp -> python -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "pygments -> python[version='>=3.5'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "fonttools -> python[version='>=3.6'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "zipp -> python[version='>=3.7'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "tensorboard -> python[version='>=3.2'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "cycler -> python[version='>=3.6'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "pip -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "pillow -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "keras-preprocessing -> python[version='>=3.6'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "cytoolz -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "pandas -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "parso -> python[version='>=3.6'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "ffmpeg -> bzip2[version='>=1.0.6,<2.0a0|>=1.0.8,<2.0a0']\n",
      "fsspec -> python[version='>=3.7'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "pickleshare -> python[version='>=3'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "decorator -> python[version='>=3.5'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "werkzeug -> python[version='>=3.6'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "pexpect -> python -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "markdown -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "markupsafe -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "debugpy -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "wrapt -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "jupyter_client -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "numexpr -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "keras-applications -> python -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "olefile -> python -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "tensorflow-estimator -> python -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "charset-normalizer -> python[version='>=3.5'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "jinja2 -> python[version='>=3.6'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "packaging -> python[version='>=3.6'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "tifffile -> imagecodecs[version='>=2021.4.28'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "wheel -> python -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "setuptools -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "grpcio -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "pycparser -> python[version='>=3.6'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "backports.functools_lru_cache -> python -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "seaborn -> python[version='>=3.6'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "python-dateutil -> python -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "cython -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "cloudpickle -> python[version='>=3.6'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "libopencv -> ffmpeg[version='>=4.0,<4.1.0a0'] -> bzip2[version='>=1.0.6,<2.0a0']\n",
      "traitlets -> python[version='>=3.7'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "psutil -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "ipython -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "prompt-toolkit -> python -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "termcolor -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "ptyprocess -> python -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "numpy -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "jupyter-dash==0.4.0 -> python[version='>=3.5'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "nest-asyncio -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "typing_extensions -> python[version='>=3.6'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "pysocks -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "matplotlib-inline -> python[version='>=3.6'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "locket -> python[version='>=3.10,<3.11.0a0'] -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "xlrd==1.2.0 -> python -> bzip2[version='>=1.0.8,<2.0a0']\n",
      "\n",
      "Package libgomp conflicts for:\n",
      "libgcc-ng -> _openmp_mutex[version='>=4.5'] -> libgomp[version='>=7.5.0']\n",
      "gcc_linux-64 -> gcc_impl_linux-64=9.3.0 -> libgomp[version='>=11.2.0|>=7.5.0|>=8.4.0|>=9.3.0']\n",
      "mkl -> _openmp_mutex[version='>=4.5'] -> libgomp[version='>=7.5.0']\n",
      "gxx_impl_linux-64 -> gcc_impl_linux-64==9.3.0=h6df7d76_17 -> libgomp[version='>=11.2.0|>=7.5.0|>=8.4.0|>=9.3.0']\n",
      "gcc_impl_linux-64 -> libgomp[version='>=11.2.0|>=7.5.0|>=8.4.0|>=9.3.0']\n",
      "blas -> _openmp_mutex[version='>=4.5'] -> libgomp[version='>=7.5.0']\n",
      "_openmp_mutex -> libgomp[version='>=7.5.0']\n",
      "\n",
      "Package python_abi conflicts for:\n",
      "dash -> pyyaml[version='>=5.1.1'] -> python_abi=3.7[build=*_cp37m]\n",
      "protobuf -> python_abi=3.7[build=*_cp37m]\n",
      "debugpy -> python_abi=3.7[build=*_cp37m]\n",
      "tensorflow-base -> python_abi=3.7[build=*_cp37m]\n",
      "pandas -> bottleneck[version='>=1.3.1'] -> python_abi=3.7[build=*_cp37m]\n",
      "keras-applications -> numpy[version='>=1.9.1'] -> python_abi=3.7[build=*_cp37m]\n",
      "urllib3 -> brotlipy[version='>=0.6.0'] -> python_abi=3.7[build=*_cp37m]\n",
      "pip -> setuptools -> python_abi=3.7[build=*_cp37m]\n",
      "flask -> click[version='>=7.1.2'] -> python_abi=3.7[build=*_cp37m]\n",
      "scipy -> python_abi=3.7[build=*_cp37m]\n",
      "tensorflow-estimator -> grpcio[version='>=1.8.6'] -> python_abi=3.7[build=*_cp37m]\n",
      "basemap==1.2.0 -> matplotlib-base[version='>=1.0.0'] -> python_abi=3.7[build=*_cp37m]\n",
      "cython -> python_abi=3.7[build=*_cp37m]\n",
      "seaborn -> numpy[version='>=1.15'] -> python_abi=3.7[build=*_cp37m]\n",
      "requests -> certifi[version='>=2017.4.17'] -> python_abi=3.7[build=*_cp37m]\n",
      "psutil -> python_abi=3.7[build=*_cp37m]\n",
      "pytorch==1.5.0 -> cffi -> python_abi=3.7[build=*_cp37m]\n",
      "cytoolz -> python_abi=3.7[build=*_cp37m]\n",
      "ansi2html -> python_abi=3.7[build=*_cp37m]\n",
      "setuptools -> python_abi=3.7[build=*_cp37m]\n",
      "markdown -> importlib-metadata -> python_abi=3.7[build=*_cp37m]\n",
      "unicodedata2 -> python_abi=3.7[build=*_cp37m]\n",
      "tensorflow==1.14.0 -> python_abi=3.7[build=*_cp37m]\n",
      "fonttools -> python_abi=3.7[build=*_cp37m]\n",
      "imageio -> numpy -> python_abi=3.7[build=*_cp37m]\n",
      "certifi -> python_abi=3.7[build=*_cp37m]\n",
      "ipython -> python_abi=3.7[build=*_cp37m]\n",
      "cryptography -> python_abi=3.7[build=*_cp37m]\n",
      "numexpr -> python_abi=3.7[build=*_cp37m]\n",
      "imagecodecs-lite -> python_abi=3.7[build=*_cp37m]\n",
      "h5py -> numpy[version='>=1.21.2,<2.0a0'] -> python_abi=3.7[build=*_cp37m]\n",
      "ipykernel -> python_abi=3.7[build=*_cp37m]\n",
      "brotli-python -> python_abi=3.7[build=*_cp37m]\n",
      "kiwisolver -> python_abi=3.7[build=*_cp37m]\n",
      "pickleshare -> python_abi=3.7[build=*_cp37m]\n",
      "pyzmq -> python_abi=3.7[build=*_cp37m]\n",
      "matplotlib-base -> python_abi=3.7[build=*_cp37m]\n",
      "ibm_db==3.0.4 -> python_abi=3.7[build=*_cp37m]\n",
      "imutils==0.5.4 -> python_abi=3.7[build=*_cp37m]\n",
      "jedi -> python_abi=3.7[build=*_cp37m]\n",
      "flask-compress -> brotli-python -> python_abi=3.7[build=*_cp37m]\n",
      "pyopenssl -> cryptography[version='>=35.0'] -> python_abi=3.7[build=*_cp37m]\n",
      "pyyaml -> python_abi=3.7[build=*_cp37m]\n",
      "jupyter-dash==0.4.0 -> ansi2html -> python_abi=3.7[build=*_cp37m]\n",
      "jupyter_client -> jupyter_core[version='>=4.9.2'] -> python_abi=3.7[build=*_cp37m]\n",
      "pysocks -> python_abi=3.7[build=*_cp37m]\n",
      "wrapt -> python_abi=3.7[build=*_cp37m]\n",
      "numpy -> python_abi=3.7[build=*_cp37m]\n",
      "wheel -> setuptools -> python_abi=3.7[build=*_cp37m]\n",
      "pywavelets -> python_abi=3.7[build=*_cp37m]\n",
      "markupsafe -> python_abi=3.7[build=*_cp37m]\n",
      "pyproj -> certifi -> python_abi=3.7[build=*_cp37m]\n",
      "pexpect -> python_abi=3.7[build=*_cp37m]\n",
      "tifffile -> numpy[version='>=1.15.1'] -> python_abi=3.7[build=*_cp37m]\n",
      "pygments -> setuptools -> python_abi=3.7[build=*_cp37m]\n",
      "cffi -> python_abi=3.7[build=*_cp37m]\n",
      "jinja2 -> markupsafe[version='>=2.0'] -> python_abi=3.7[build=*_cp37m]\n",
      "pillow -> python_abi=3.7[build=*_cp37m]\n",
      "backports.functools_lru_cache -> setuptools -> python_abi=3.7[build=*_cp37m]\n",
      "tornado -> python_abi=3.7[build=*_cp37m]\n",
      "dask-core -> pyyaml[version='>=5.3.1'] -> python_abi=3.7[build=*_cp37m]\n",
      "scikit-image==0.17.2 -> python_abi=3.7[build=*_cp37m]\n",
      "grpcio -> python_abi=3.7[build=*_cp37m]\n",
      "brotlipy -> python_abi=3.7[build=*_cp37m]\n",
      "pycocotools==2.0.2 -> python_abi=3.7[build=*_cp37m]\n",
      "click -> python_abi=3.7[build=*_cp37m]\n",
      "networkx -> numpy[version='>=1.19'] -> python_abi=3.7[build=*_cp37m]\n",
      "plotly -> setuptools -> python_abi=3.7[build=*_cp37m]\n",
      "py-opencv -> numpy[version='>=1.11.3,<2.0a0'] -> python_abi=3.7[build=*_cp37m]\n",
      "bottleneck -> python_abi=3.7[build=*_cp37m]\n",
      "importlib-metadata -> python_abi=3.7[build=*_cp37m]\n",
      "tensorboard -> grpcio[version='>=1.24.3'] -> python_abi=3.7[build=*_cp37m]\n",
      "keras-preprocessing -> numpy[version='>=1.9.1'] -> python_abi=3.7[build=*_cp37m]\n",
      "\n",
      "Package openssl conflicts for:\n",
      "tensorflow-estimator -> grpcio[version='>=1.8.6'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1d,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.1.1a,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "tifffile -> python[version='>=3.7'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "pygments -> python[version='>=3.5'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "wheel -> python -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "psutil -> python[version='>=3.10,<3.11.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "pandas -> python[version='>=3.10,<3.11.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "pillow -> python[version='>=3.10,<3.11.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "matplotlib-inline -> python[version='>=3.6'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "flask-compress -> python[version='>=2.7'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "jinja2 -> python[version='>=3.6'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "six -> python -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "munkres -> python -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "mysql-libs -> openssl[version='>=1.1.1k,<1.1.2a']\n",
      "backports -> python -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "tenacity -> python[version='>=3.10,<3.11.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1b,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1o,<1.1.2a']\n",
      "python-dateutil -> python -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "python_abi -> python=3.7 -> openssl[version='>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1l,<1.1.2a']\n",
      "protobuf -> python[version='>=3.8,<3.9.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "cryptography -> python[version='>=3.10,<3.11.0a0'] -> openssl[version='>=1.0.2l,<1.0.3a|>=1.1.1e,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a']\n",
      "cryptography -> openssl[version='1.0.*|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.0.2n,<1.0.3a|>=1.0.2m,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "grpcio -> openssl[version='>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1d,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.1.1a,<1.1.2a']\n",
      "ansi2html -> python[version='>=3.10,<3.11.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1b,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1o,<1.1.2a']\n",
      "libpq -> openssl[version='>=1.0.2m,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a']\n",
      "tornado -> python[version='>=3.10,<3.11.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1i,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.1.1b,<1.1.2a']\n",
      "gast -> python -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "flask -> python[version='>=3.6'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "ninja -> python -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "tensorboard -> grpcio[version='>=1.24.3'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "xlrd==1.2.0 -> python[version='>=3.7,<3.8.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1m,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1o,<1.1.2a']\n",
      "brotlipy -> python[version='>=3.7,<3.8.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1i,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.1.1m,<1.1.2a']\n",
      "pysocks -> python[version='>=3.7,<3.8.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "seaborn -> python[version='>=3.6'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "jedi -> python[version='>=3.10,<3.11.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "werkzeug -> python[version='>=3.6'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "cloudpickle -> python[version='>=3.6'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "pyopenssl -> cryptography[version='>=35.0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "absl-py -> python -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "libcurl -> libnghttp2[version='>=1.41.0,<2.0a0'] -> openssl[version='>=1.0.2m,<1.0.3a|>=1.1.1h,<1.1.2a|>=1.1.1j,<1.1.2a']\n",
      "tensorflow==1.14.0 -> python=3.6 -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1n,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1o,<1.1.2a']\n",
      "wcwidth -> python -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "prompt-toolkit -> python -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "pycocotools==2.0.2 -> python[version='>=3.7,<3.8.0a0'] -> openssl[version='>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1l,<1.1.2a']\n",
      "keras-applications -> python -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "ipykernel -> python[version='>=3.10,<3.11.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "traitlets -> python[version='>=3.7'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "libnghttp2 -> openssl[version='>=1.1.1h,<1.1.2a|>=1.1.1l,<1.1.2a']\n",
      "grpcio -> python[version='>=3.9,<3.10.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1m,<1.1.2a']\n",
      "libpq -> krb5[version='>=1.19.1,<1.20.0a0'] -> openssl[version='1.0.*|>=1.0.2l,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1j,<1.1.2a']\n",
      "debugpy -> python[version='>=3.10,<3.11.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "basemap==1.2.0 -> python[version='>=3.6,<3.7.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1n,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1b,<1.1.2a']\n",
      "tqdm==4.60.0 -> python[version='>=2.7'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "kiwisolver -> python[version='>=3.8,<3.9.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "markdown -> python[version='>=3.10,<3.11.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1b,<1.1.2a']\n",
      "google-pasta -> python -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "ffmpeg -> openssl[version='>=1.1.1d,<1.1.2a']\n",
      "astor -> python[version='>=3.10,<3.11.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1i,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.1.1b,<1.1.2a']\n",
      "markupsafe -> python[version='>=3.10,<3.11.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1b,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1o,<1.1.2a']\n",
      "py-opencv -> python[version='>=3.7,<3.8.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "jupyter-dash==0.4.0 -> python[version='>=3.5'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "pyproj -> python[version='>=3.9,<3.10.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1b,<1.1.2a']\n",
      "charset-normalizer -> python[version='>=3.5'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "idna -> python[version='>=3.5'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "pyparsing -> python[version='>=3.6'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "tesseract==4.1.1 -> libarchive[version='>=3.3.3,<3.6.0a0'] -> openssl[version='>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1f,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1o,<1.1.2a']\n",
      "numexpr -> python[version='>=3.8,<3.9.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "libcurl -> openssl[version='>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1o,<1.1.2a']\n",
      "cython -> python[version='>=3.9,<3.10.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "decorator -> python[version='>=3.5'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "pywavelets -> python[version='>=3.10,<3.11.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "importlib-metadata -> python[version='>=3.10,<3.11.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "plotly -> python[version='>=3.6'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "pytorch==1.5.0 -> python[version='>=3.7,<3.8.0a0'] -> openssl[version='>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1l,<1.1.2a']\n",
      "libssh2 -> openssl[version='>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1b,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1a,<1.1.2a']\n",
      "typing-extensions -> python -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "setuptools -> python[version='>=3.10,<3.11.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "h5py -> python[version='>=3.10,<3.11.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "hdf5 -> openssl[version='>=1.1.1l,<1.1.2a']\n",
      "ptyprocess -> python -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "scikit-image==0.17.2 -> python[version='>=3.9,<3.10.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1b,<1.1.2a']\n",
      "fonttools -> python[version='>=3.6'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "packaging -> python[version='>=3.6'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "tensorflow-base -> openssl[version='>=1.1.1k,<1.1.2a']\n",
      "hdf5 -> libcurl[version='>=7.78.0,<8.0a0'] -> openssl[version='>=1.1.1k,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1o,<1.1.2a']\n",
      "dask-core -> python[version='>=3.8'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "qt -> openssl[version='1.0.*|1.1.*|>=1.0.2p,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.1.1j,<1.1.2a']\n",
      "olefile -> python[version='>=3.5,<3.6.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1k,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1j,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1a,<1.1.2a|>=1.1.1,<1.1.2.0a0|>=1.1.1b,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1o,<1.1.2a']\n",
      "zipp -> python[version='>=3.7'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "click -> python[version='>=3.10,<3.11.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "brotli-python -> python[version='>=3.8,<3.9.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1b,<1.1.2a']\n",
      "jupyter_client -> python[version='>=3.10,<3.11.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "termcolor -> python[version='>=3.10,<3.11.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1b,<1.1.2a']\n",
      "bottleneck -> python[version='>=3.8,<3.9.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "tensorflow-base -> grpcio -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1d,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.1.1a,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "python~=3.7 -> openssl[version='>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1o,<1.1.2a']\n",
      "qt -> libevent[version='>=2.1.10,<2.1.11.0a0'] -> openssl[version='>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a']\n",
      "matplotlib-base -> python[version='>=3.8,<3.9.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "pyyaml -> python[version='>=3.7,<3.8.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "retrying -> python[version='>=3.6,<3.7.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1n,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1o,<1.1.2a']\n",
      "urllib3 -> cryptography[version='>=1.3.4'] -> openssl[version='1.0.*|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.0.2n,<1.0.3a|>=1.0.2m,<1.0.3a|>=1.1.1o,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "itsdangerous -> python[version='>=3.6'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "typing_extensions -> python[version='>=3.6'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "pexpect -> python -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "numpy -> python[version='>=3.8,<3.9.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "networkx -> python[version='>=3.8'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "cffi -> python[version='>=3.10,<3.11.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "backcall -> python -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "unicodedata2 -> python[version='>=3.10,<3.11.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1b,<1.1.2a']\n",
      "pyzmq -> python[version='>=3.10,<3.11.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "scipy -> python[version='>=3.7,<3.8.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "imageio -> python[version='>=3'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "partd -> python[version='>=3.5'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "pyshp -> python -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "ibm_db==3.0.4 -> python[version='>=3.7,<3.8.0a0'] -> openssl[version='>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1l,<1.1.2a']\n",
      "cytoolz -> python[version='>=3.10,<3.11.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "certifi -> python[version='>=3.7,<3.8.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "cycler -> python[version='>=3.6'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "fsspec -> python[version='>=3.7'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "toolz -> python[version='>=3.5'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "pycparser -> python[version='>=3.6'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "nest-asyncio -> python[version='>=3.7,<3.8.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "entrypoints -> python[version='>=3.8,<3.9.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "imutils==0.5.4 -> python[version='>=3.7,<3.8.0a0'] -> openssl[version='>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1l,<1.1.2a']\n",
      "pytz -> python -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "ipython -> python[version='>=3.9,<3.10.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "pip -> python[version='>=3.10,<3.11.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1b,<1.1.2a']\n",
      "imagecodecs-lite -> python[version='>=3.7,<3.8.0a0'] -> openssl[version='>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1l,<1.1.2a']\n",
      "wrapt -> python[version='>=3.10,<3.11.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "keras-preprocessing -> python[version='>=3.6'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "libevent -> openssl[version='>=1.0.2m,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1g,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1a,<1.1.2a']\n",
      "dash -> python -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "backports.functools_lru_cache -> python -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "parso -> python[version='>=3.6'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "libarchive -> openssl[version='>=1.0.2l,<1.0.3a|>=1.0.2m,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1f,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1o,<1.1.2a']\n",
      "libopencv -> qt=5.12 -> openssl[version='>=1.1.1j,<1.1.2a']\n",
      "pickleshare -> python[version='>=3'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "locket -> python[version='>=3.9,<3.10.0a0'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.1.1o,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.0.2l,<1.0.3a']\n",
      "requests -> python[version='>=3.6'] -> openssl[version='1.0.*|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1m,<1.1.2a|>=1.1.1n,<1.1.2a|>=1.0.2l,<1.0.3a|>=1.1.1o,<1.1.2a']\n",
      "krb5 -> openssl[version='1.0.*|>=1.0.2l,<1.0.3a|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.1.1,<1.1.2.0a0|>=1.1.1d,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1k,<1.1.2a|>=1.1.1l,<1.1.2a|>=1.1.1a,<1.1.2a']\n",
      "\n",
      "Package tensorboard conflicts for:\n",
      "tensorflow==1.14.0 -> tensorflow-base==1.14.0=py37h4531e10_0 -> tensorboard[version='>=1.14.0,<1.15.0a0']\n",
      "tensorflow-estimator -> tensorflow-base[version='>=1.14.0,<1.15.0a0'] -> tensorboard[version='>=1.14.0,<1.15.0a0']\n",
      "tensorflow==1.14.0 -> tensorboard[version='>=1.14.0,<1.15.0']\n",
      "tensorflow-base -> tensorboard[version='>=1.14.0,<1.15.0a0|>=2.5.0,<2.6|>=2.6.0,<2.7']\n",
      "\n",
      "Package toolz conflicts for:\n",
      "scikit-image==0.17.2 -> toolz[version='>=0.7.3']\n",
      "cytoolz -> toolz[version='>=0.10.0|>=0.8.0']\n",
      "dask-core -> toolz[version='>=0.8.2']\n",
      "partd -> toolz\n",
      "scikit-image==0.17.2 -> cytoolz[version='>=0.7.3'] -> toolz[version='>=0.10.0|>=0.8.0|>=0.8.2']\n",
      "dask-core -> partd[version='>=0.3.10'] -> toolz\n",
      "\n",
      "Package libuuid conflicts for:\n",
      "fonttools -> python[version='>=3.6'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "wheel -> python -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "graphviz==2.40.1 -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "psutil -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "zipp -> python[version='>=3.7'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "kiwisolver -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "tifffile -> python[version='>=3.7'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "pango -> fontconfig[version='>=2.13.0,<3.0a0'] -> libuuid[version='>=2.32.1,<3.0a0']\n",
      "toolz -> python[version='>=3.5'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "cycler -> python[version='>=3.6'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "flask-compress -> python[version='>=2.7'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "protobuf -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "charset-normalizer -> python[version='>=3.5'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "idna -> python[version='>=3.5'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "pycparser -> python[version='>=3.6'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "setuptools -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "cffi -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "dash -> python -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "pip -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "cytoolz -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "traitlets -> python[version='>=3.7'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "seaborn -> python[version='>=3.6'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "unicodedata2 -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "pyopenssl -> python[version='>=3.6'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "werkzeug -> python[version='>=3.6'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "qt -> fontconfig[version='>=2.13.0,<3.0a0'] -> libuuid[version='>=1.0.3,<2.0a0|>=2.32.1,<3.0a0']\n",
      "pexpect -> python -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "termcolor -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "wrapt -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "locket -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "jupyter_client -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "packaging -> python[version='>=3.6'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "olefile -> python -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "pysocks -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "markdown -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "urllib3 -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "grpcio -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "pytz -> python -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "pyshp -> python -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "cloudpickle -> python[version='>=3.6'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "matplotlib-base -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "numexpr -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "backcall -> python -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "keras-preprocessing -> python[version='>=3.6'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "numpy -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "xlrd==1.2.0 -> python -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "graphviz==2.40.1 -> fontconfig[version='>=2.13.0,<3.0a0'] -> libuuid[version='>=2.32.1,<3.0a0']\n",
      "bottleneck -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "cryptography -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "typing-extensions -> python -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "backports -> python -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "tensorflow-estimator -> python -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "parso -> python[version='>=3.6'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "six -> python -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "munkres -> python -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "pyyaml -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "ipykernel -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "gast -> python -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "dask-core -> python[version='>=3.8'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "h5py -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "tenacity -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "ipython -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "python~=3.7 -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "backports.functools_lru_cache -> python -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "brotlipy -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "imageio -> python[version='>=3'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "pickleshare -> python[version='>=3'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "cython -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "retrying -> python -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "itsdangerous -> python[version='>=3.6'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "absl-py -> python -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "requests -> python[version='>=3.6'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "prompt-toolkit -> python -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "typing_extensions -> python[version='>=3.6'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "scipy -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "certifi -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "matplotlib-inline -> python[version='>=3.6'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "plotly -> python[version='>=3.6'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "jedi -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "tornado -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "python-dateutil -> python -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "fontconfig -> libuuid[version='>=1.0.3,<2.0a0|>=2.32.1,<3.0a0']\n",
      "cairo -> fontconfig[version='>=2.13.1,<3.0a0'] -> libuuid[version='>=1.0.3,<2.0a0|>=2.32.1,<3.0a0']\n",
      "flask -> python[version='>=3.6'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "partd -> python[version='>=3.5'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "pygments -> python[version='>=3.5'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "pandas -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "ninja -> python -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "networkx -> python[version='>=3.8'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "pango -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "pyproj -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "pyparsing -> python[version='>=3.6'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "pyzmq -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "jupyter-dash==0.4.0 -> python[version='>=3.5'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "tensorboard -> python[version='>=3.2'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "wcwidth -> python -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "entrypoints -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "click -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "xorg-libxt -> xorg-libsm=1.2 -> libuuid[version='>=2.32.1,<3.0a0']\n",
      "xorg-libsm -> libuuid[version='>=2.32.1,<3.0a0']\n",
      "astor -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "jinja2 -> python[version='>=3.6'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "decorator -> python[version='>=3.5'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "pillow -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "debugpy -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "ptyprocess -> python -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "ansi2html -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "fsspec -> python[version='>=3.7'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "nest-asyncio -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "tqdm==4.60.0 -> python[version='>=2.7'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "keras-applications -> python -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "google-pasta -> python -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "markupsafe -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "pywavelets -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "importlib-metadata -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0']\n",
      "\n",
      "Package libzlib conflicts for:\n",
      "libpq -> zlib[version='>=1.2.11,<1.3.0a0'] -> libzlib==1.2.11=h166bdaf_1014\n",
      "pytorch==1.5.0 -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "tensorflow-base -> grpcio -> libzlib[version='1.2.11|>=1.2.11,<1.3.0a0',build=h166bdaf_1014]\n",
      "cycler -> python[version='>=3.6'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "retrying -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "imagecodecs-lite -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "idna -> python[version='>=3.5'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "pyyaml -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "libllvm11 -> zlib -> libzlib==1.2.11=h166bdaf_1014\n",
      "gast -> python -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "keras-preprocessing -> python[version='>=3.6'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "tifffile -> python[version='>=3.7'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "libprotobuf -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "fsspec -> python[version='>=3.7'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "matplotlib-base -> tk -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "libarchive -> zlib[version='>=1.2.11,<1.3.0a0'] -> libzlib==1.2.11=h166bdaf_1014\n",
      "libopencv -> zlib[version='>=1.2.11,<1.3.0a0'] -> libzlib==1.2.11=h166bdaf_1014\n",
      "mysql-libs -> zlib[version='>=1.2.11,<1.3.0a0'] -> libzlib==1.2.11=h166bdaf_1014\n",
      "werkzeug -> python[version='>=3.6'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "pexpect -> python -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "olefile -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "sqlite -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "ffmpeg -> zlib[version='>=1.2.11,<1.3.0a0'] -> libzlib==1.2.11=h166bdaf_1014\n",
      "keras-applications -> python -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "certifi -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "libnghttp2 -> zlib[version='>=1.2.11,<1.3.0a0'] -> libzlib==1.2.11=h166bdaf_1014\n",
      "qt -> sqlite[version='>=3.25.3,<4.0a0'] -> libzlib[version='1.2.11|>=1.2.11,<1.3.0a0',build=h166bdaf_1014]\n",
      "tesseract==4.1.1 -> zlib[version='>=1.2.11,<1.3.0a0'] -> libzlib==1.2.11=h166bdaf_1014\n",
      "hdf5 -> libcurl[version='>=7.78.0,<8.0a0'] -> libzlib[version='1.2.11|>=1.2.11,<1.3.0a0',build=h166bdaf_1014]\n",
      "numexpr -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "scipy -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "cryptography -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "jinja2 -> python[version='>=3.6'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "charset-normalizer -> python[version='>=3.5'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "six -> python -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "pyopenssl -> python[version='>=3.6'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "libnghttp2 -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "wheel -> python -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "typing-extensions -> python -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "locket -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "pytz -> python -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "llvm-openmp -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "imutils==0.5.4 -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "krb5 -> tk[version='>=8.6.8,<8.7.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "parso -> python[version='>=3.6'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "backports.functools_lru_cache -> python -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "tensorflow-estimator -> grpcio[version='>=1.8.6'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "libssh2 -> zlib[version='>=1.2.11,<1.3.0a0'] -> libzlib==1.2.11=h166bdaf_1014\n",
      "pickleshare -> python[version='>=3'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "decorator -> python[version='>=3.5'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "libclang -> libllvm11[version='>=11.1.0,<11.2.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "cloudpickle -> python[version='>=3.6'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "unicodedata2 -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "openjpeg -> zlib[version='>=1.2.11,<1.3.0a0'] -> libzlib==1.2.11=h166bdaf_1014\n",
      "libprotobuf -> zlib[version='>=1.2.11,<1.3.0a0'] -> libzlib==1.2.11=h166bdaf_1014\n",
      "psutil -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "absl-py -> python -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "h5py -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "prompt-toolkit -> python -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "harfbuzz -> libglib[version='>=2.68.4,<3.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "jupyter-dash==0.4.0 -> python[version='>=3.5'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "pip -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "debugpy -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "libcurl -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "cython -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "setuptools -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "pycocotools==2.0.2 -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "matplotlib-inline -> python[version='>=3.6'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "networkx -> python[version='>=3.7'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "mkl -> llvm-openmp[version='>=12.0.1'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "packaging -> python[version='>=3.6'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "sqlite -> zlib[version='>=1.2.11,<1.3.0a0'] -> libzlib==1.2.11=h166bdaf_1014\n",
      "backports -> python -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "tenacity -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "libglib -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "numpy -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "python~=3.7 -> zlib[version='>=1.2.11,<1.3.0a0'] -> libzlib==1.2.11=h166bdaf_1014\n",
      "ipython -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "tensorboard -> grpcio[version='>=1.24.3'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "cairo -> zlib[version='>=1.2.11,<1.3.0a0'] -> libzlib[version='1.2.11|>=1.2.11,<1.3.0a0',build=h166bdaf_1014]\n",
      "openh264 -> zlib[version='>=1.2.11,<1.3.0a0'] -> libzlib==1.2.11=h166bdaf_1014\n",
      "ansi2html -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "kiwisolver -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "plotly -> python[version='>=3.6'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "scikit-image==0.17.2 -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "ninja -> python -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "pycparser -> python[version='>=3.6'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "markdown -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "urllib3 -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "nss -> zlib -> libzlib==1.2.11=h166bdaf_1014\n",
      "seaborn -> python[version='>=3.6'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "libtiff -> zlib[version='>=1.2.11,<1.3.0a0'] -> libzlib==1.2.11=h166bdaf_1014\n",
      "python-dateutil -> python -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "python_abi -> python=3.7 -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "freetype -> zlib[version='>=1.2.11,<1.3.0a0'] -> libzlib==1.2.11=h166bdaf_1014\n",
      "tensorflow==1.14.0 -> python=3.7 -> libzlib[version='1.2.11|>=1.2.11,<1.3.0a0',build=h166bdaf_1014]\n",
      "fonttools -> python[version='>=3.6'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "zipp -> python[version='>=3.7'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "pillow -> tk -> libzlib[version='1.2.11|>=1.2.11,<1.3.0a0',build=h166bdaf_1014]\n",
      "zstd -> zlib[version='>=1.2.11,<1.3.0a0'] -> libzlib==1.2.11=h166bdaf_1014\n",
      "google-pasta -> python -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "toolz -> python[version='>=3.5'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "leptonica -> zlib[version='>=1.2.11,<1.3.0a0'] -> libzlib==1.2.11=h166bdaf_1014\n",
      "graphviz==2.40.1 -> zlib[version='>=1.2.11,<1.3.0a0'] -> libzlib==1.2.11=h166bdaf_1014\n",
      "zlib -> libzlib==1.2.11=h166bdaf_1014\n",
      "pango -> zlib[version='>=1.2.11,<1.3.0a0'] -> libzlib[version='1.2.11|>=1.2.11,<1.3.0a0',build=h166bdaf_1014]\n",
      "backcall -> python -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "itsdangerous -> python[version='>=3.6'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "cffi -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "bottleneck -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "brotlipy -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "pandas -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "py-opencv -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "libllvm11 -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "entrypoints -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "ipykernel -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "requests -> python[version='>=3.6'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "xlrd==1.2.0 -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "pyzmq -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "_openmp_mutex -> llvm-openmp[version='>=9.0.1'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "basemap==1.2.0 -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "wcwidth -> python -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "tqdm==4.60.0 -> python[version='>=2.7'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "tornado -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "pysocks -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "grpcio -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "dbus -> libglib[version='>=2.70.2,<3.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "flask-compress -> python[version='>=2.7'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "pyparsing -> python[version='>=3.6'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "grpcio -> zlib[version='>=1.2.11,<1.3.0a0'] -> libzlib==1.2.11=h166bdaf_1014\n",
      "nest-asyncio -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "partd -> python[version='>=3.5'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "munkres -> python -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "libpng -> zlib[version='>=1.2.11,<1.3.0a0'] -> libzlib==1.2.11=h166bdaf_1014\n",
      "tk -> zlib[version='>=1.2.11,<1.3.0a0'] -> libzlib==1.2.11=h166bdaf_1014\n",
      "wrapt -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "protobuf -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "pyproj -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "gst-plugins-base -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "brotli-python -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "dash -> python -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "python~=3.7 -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "pywavelets -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "importlib-metadata -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "imageio -> python[version='>=3'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "traitlets -> python[version='>=3.7'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "flask -> python[version='>=3.6'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "dask-core -> python[version='>=3.7'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "termcolor -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "click -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "ptyprocess -> python -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "nss -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "libcurl -> zlib[version='>=1.2.11,<1.3.0a0'] -> libzlib==1.2.11=h166bdaf_1014\n",
      "libpq -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "gstreamer -> libglib[version='>=2.70.2,<3.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "typing_extensions -> python[version='>=3.6'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "jedi -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "tk -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "jupyter_client -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "cytoolz -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "gst-plugins-base -> zlib[version='>=1.2.11,<1.3.0a0'] -> libzlib==1.2.11=h166bdaf_1014\n",
      "blas -> llvm-openmp[version='>=13.0.1'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "libxml2 -> zlib[version='>=1.2.11,<1.3.0a0'] -> libzlib==1.2.11=h166bdaf_1014\n",
      "astor -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "pyshp -> python -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "pygments -> python[version='>=3.5'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "markupsafe -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "ibm_db==3.0.4 -> python[version='>=3.7,<3.8.0a0'] -> libzlib[version='>=1.2.11,<1.3.0a0']\n",
      "\n",
      "Package idna conflicts for:\n",
      "urllib3 -> idna[version='>=2.0.0']\n",
      "tensorboard -> requests[version='>=2.21.0'] -> idna[version='>=2.5,<2.9|>=2.5,<3|>=2.5,<4']\n",
      "requests -> idna[version='>=2.5,<2.7|>=2.5,<2.8|>=2.5,<2.9|>=2.5,<3|>=2.5,<4']\n",
      "jupyter-dash==0.4.0 -> requests -> idna[version='>=2.5,<2.7|>=2.5,<2.8|>=2.5,<2.9|>=2.5,<3|>=2.5,<4']\n",
      "cryptography -> idna[version='>=2.1']\n",
      "urllib3 -> cryptography[version='>=1.3.4'] -> idna[version='>=2.1']\n",
      "requests -> urllib3[version='>=1.21.1,<1.27'] -> idna[version='>=2.0.0']\n",
      "pyopenssl -> cryptography[version='>=2.8'] -> idna[version='>=2.1']\n",
      "plotly -> requests -> idna[version='>=2.5,<2.7|>=2.5,<2.8|>=2.5,<2.9|>=2.5,<3|>=2.5,<4']\n",
      "\n",
      "Package jaraco.itertools conflicts for:\n",
      "importlib-metadata -> zipp[version='>=0.5'] -> jaraco.itertools\n",
      "zipp -> jaraco.itertools\n",
      "\n",
      "Package graphite2 conflicts for:\n",
      "graphviz==2.40.1 -> graphite2[version='>=1.3.11,<2.0a0']\n",
      "pango -> graphite2[version='>=1.3.11,<2.0a0|>=1.3.12,<2.0a0|>=1.3.13,<2.0a0|>=1.3.14,<2.0a0']\n",
      "harfbuzz -> graphite2[version='1.3.*|>=1.3.10,<2.0a0|>=1.3.11,<2.0a0|>=1.3.13,<2.0a0|>=1.3.14,<2.0a0']\n",
      "pango -> harfbuzz[version='>=2.4.0,<3.0a0'] -> graphite2[version='1.3.*|>=1.3.10,<2.0a0']\n",
      "libopencv -> harfbuzz[version='>=1.7.6,<2.0a0'] -> graphite2[version='1.3.*|>=1.3.10,<2.0a0|>=1.3.11,<2.0a0|>=1.3.14,<2.0a0|>=1.3.13,<2.0a0']\n",
      "graphviz==2.40.1 -> harfbuzz[version='>=1.7.6,<2.0a0'] -> graphite2[version='>=1.3.10,<2.0a0|>=1.3.14,<2.0a0|>=1.3.13,<2.0a0|>=1.3.12,<2.0a0']\n",
      "\n",
      "Package tk conflicts for:\n",
      "seaborn -> matplotlib[version='>=2.2'] -> tk[version='8.6.*|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.10,<8.7.0a0']\n",
      "python~=3.7 -> tk[version='>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "imutils==0.5.4 -> matplotlib-base -> tk[version='>=8.6.10,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.12,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "libcurl -> krb5[version='>=1.17.1,<1.18.0a0'] -> tk[version='>=8.6.7,<8.7.0a0|>=8.6.8,<8.7.0a0']\n",
      "tensorflow==1.14.0 -> python=3.6 -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0|>=8.6.11,<8.7.0a0']\n",
      "olefile -> python[version='>=3.5,<3.6.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.7,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.11,<8.7.0a0']\n",
      "click -> python[version='>=3.10,<3.11.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "pyproj -> python[version='>=3.9,<3.10.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "brotlipy -> python[version='>=3.7,<3.8.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "unicodedata2 -> python[version='>=3.10,<3.11.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "tornado -> python[version='>=3.10,<3.11.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "markdown -> python[version='>=3.10,<3.11.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "pyshp -> python -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "pytorch==1.5.0 -> python[version='>=3.7,<3.8.0a0'] -> tk[version='>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "certifi -> python[version='>=3.7,<3.8.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "matplotlib-base -> python[version='>=3.8,<3.9.0a0'] -> tk[version='8.6.*|>=8.6.11,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "google-pasta -> python -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "tensorflow-estimator -> python -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "tensorflow-base -> python[version='>=3.9,<3.10.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "imagecodecs-lite -> python[version='>=3.7,<3.8.0a0'] -> tk[version='>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "cryptography -> python[version='>=3.10,<3.11.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "jedi -> python[version='>=3.10,<3.11.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "itsdangerous -> python[version='>=3.6'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "pillow -> tk[version='>=8.6.10,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "pillow -> python[version='>=3.10,<3.11.0a0'] -> tk[version='8.6.*|>=8.6.11,<8.7.0a0']\n",
      "tenacity -> python[version='>=3.10,<3.11.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "backports.functools_lru_cache -> python -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "cffi -> python[version='>=3.10,<3.11.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "pyyaml -> python[version='>=3.7,<3.8.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "backcall -> python -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "ipykernel -> python[version='>=3.10,<3.11.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "xlrd==1.2.0 -> python[version='>=3.7,<3.8.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "locket -> python[version='>=3.9,<3.10.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "ibm_db==3.0.4 -> python[version='>=3.7,<3.8.0a0'] -> tk[version='>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "wcwidth -> python -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "debugpy -> python[version='>=3.10,<3.11.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "pycocotools==2.0.2 -> matplotlib-base -> tk[version='>=8.6.10,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.12,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "matplotlib-inline -> python[version='>=3.6'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "grpcio -> python[version='>=3.9,<3.10.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "requests -> python[version='>=3.6'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "ipython -> python[version='>=3.9,<3.10.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "backports -> python -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "plotly -> python[version='>=3.6'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "pycparser -> python[version='>=3.6'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "pytz -> python -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "kiwisolver -> python[version='>=3.8,<3.9.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "importlib-metadata -> python[version='>=3.10,<3.11.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "flask -> python[version='>=3.6'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "fonttools -> python[version='>=3.6'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "pandas -> python[version='>=3.10,<3.11.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "protobuf -> python[version='>=3.8,<3.9.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "jupyter-dash==0.4.0 -> python[version='>=3.5'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "tensorboard -> python[version='>=3.2'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "idna -> python[version='>=3.5'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "termcolor -> python[version='>=3.10,<3.11.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "toolz -> python[version='>=3.5'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "pickleshare -> python[version='>=3'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "cycler -> python[version='>=3.6'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "pyzmq -> python[version='>=3.10,<3.11.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "gast -> python -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "dask-core -> python[version='>=3.8'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "krb5 -> tk[version='8.6.*|>=8.6.7,<8.7.0a0|>=8.6.8,<8.7.0a0']\n",
      "jupyter_client -> python[version='>=3.10,<3.11.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "wheel -> python -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "cytoolz -> python[version='>=3.10,<3.11.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "keras-preprocessing -> python[version='>=3.6'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "py-opencv -> python[version='>=3.7,<3.8.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "ansi2html -> python[version='>=3.10,<3.11.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "jinja2 -> python[version='>=3.6'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "fsspec -> python[version='>=3.7'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "matplotlib-base -> tk[version='>=8.6.10,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.12,<8.7.0a0']\n",
      "python-dateutil -> python -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "scikit-image==0.17.2 -> matplotlib-base[version='>=2.0.0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.12,<8.7.0a0|>=8.6.7,<8.7.0a0|>=8.6.11,<8.7.0a0']\n",
      "wrapt -> python[version='>=3.10,<3.11.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "tqdm==4.60.0 -> python[version='>=2.7'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "ninja -> python -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "keras-applications -> python -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "bottleneck -> python[version='>=3.8,<3.9.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "flask-compress -> python[version='>=2.7'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "charset-normalizer -> python[version='>=3.5'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "pywavelets -> python[version='>=3.10,<3.11.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "pyparsing -> python[version='>=3.6'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "urllib3 -> python[version='>=3.9,<3.10.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "nest-asyncio -> python[version='>=3.7,<3.8.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "dash -> python -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "cython -> python[version='>=3.9,<3.10.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "networkx -> python[version='>=3.8'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0|>=8.6.12,<8.7.0a0']\n",
      "prompt-toolkit -> python -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "tifffile -> python[version='>=3.7'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "parso -> python[version='>=3.6'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "partd -> python[version='>=3.5'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "pip -> python[version='>=3.10,<3.11.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "entrypoints -> python[version='>=3.8,<3.9.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "werkzeug -> python[version='>=3.6'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "h5py -> python[version='>=3.10,<3.11.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "basemap==1.2.0 -> matplotlib-base[version='>=1.0.0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.12,<8.7.0a0|>=8.6.7,<8.7.0a0|>=8.6.11,<8.7.0a0']\n",
      "traitlets -> python[version='>=3.7'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "absl-py -> python -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "numpy -> python[version='>=3.8,<3.9.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "ptyprocess -> python -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "retrying -> python[version='>=3.6,<3.7.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0|>=8.6.11,<8.7.0a0']\n",
      "brotli-python -> python[version='>=3.8,<3.9.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "scipy -> python[version='>=3.7,<3.8.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "astor -> python[version='>=3.10,<3.11.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "packaging -> python[version='>=3.6'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "python_abi -> python=3.7 -> tk[version='>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "decorator -> python[version='>=3.5'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "six -> python -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "pyopenssl -> python[version='>=3.6'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "pysocks -> python[version='>=3.7,<3.8.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "typing_extensions -> python[version='>=3.6'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "pexpect -> python -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "typing-extensions -> python -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "markupsafe -> python[version='>=3.10,<3.11.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "libpq -> krb5[version='>=1.17.1,<1.18.0a0'] -> tk[version='8.6.*|>=8.6.7,<8.7.0a0|>=8.6.8,<8.7.0a0']\n",
      "imageio -> pillow -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0|>=8.6.11,<8.7.0a0']\n",
      "numexpr -> python[version='>=3.8,<3.9.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "munkres -> python -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "cloudpickle -> python[version='>=3.6'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "setuptools -> python[version='>=3.10,<3.11.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "psutil -> python[version='>=3.10,<3.11.0a0'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "zipp -> python[version='>=3.7'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "pygments -> python[version='>=3.5'] -> tk[version='8.6.*|>=8.6.10,<8.7.0a0|>=8.6.11,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.7,<8.7.0a0']\n",
      "\n",
      "Package zlib conflicts for:\n",
      "scipy -> python[version='>=3.7,<3.8.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "lcms2 -> libtiff[version='>=4.1.0,<5.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "krb5 -> tk[version='>=8.6.8,<8.7.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "munkres -> python -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "backports.functools_lru_cache -> python -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "opencv==3.4.9 -> libopencv==3.4.9=py37_2 -> zlib[version='>=1.2.11,<1.3.0a0']\n",
      "networkx -> python[version='>=3.8'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "cffi -> python[version='>=3.10,<3.11.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "pyyaml -> python[version='>=3.7,<3.8.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "cloudpickle -> python[version='>=3.6'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "ipykernel -> python[version='>=3.10,<3.11.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "locket -> python[version='>=3.9,<3.10.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "libwebp -> libpng[version='>=1.6.37,<1.7.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "traitlets -> python[version='>=3.7'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "dask-core -> python[version='>=3.8'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "tk -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "pandas -> python[version='>=3.10,<3.11.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "scikit-image==0.17.2 -> pillow[version='>=4.3.0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "libprotobuf -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "h5py -> hdf5[version='>=1.10.6,<1.10.7.0a0'] -> zlib[version='1.2.*|>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "libxml2 -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "idna -> python[version='>=3.5'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "matplotlib-inline -> python[version='>=3.6'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "absl-py -> python -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "libopencv -> zlib[version='>=1.2.11,<1.3.0a0']\n",
      "libarchive -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "prompt-toolkit -> python -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "tensorflow-base -> python[version='>=3.9,<3.10.0a0'] -> zlib[version='>=1.2.12,<1.3.0a0']\n",
      "pango -> zlib[version='>=1.2.11,<1.3.0a0']\n",
      "backports -> python -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "pillow -> zlib[version='>=1.2.11,<1.3.0a0']\n",
      "pyproj -> python[version='>=3.9,<3.10.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "numexpr -> python[version='>=3.8,<3.9.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "entrypoints -> python[version='>=3.8,<3.9.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "zstd -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "libpng -> zlib[version='>=1.2.11,<1.3.0a0']\n",
      "jinja2 -> python[version='>=3.6'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "qt -> zlib[version='>=1.2.11,<1.3.0a0']\n",
      "plotly -> python[version='>=3.6'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "libcurl -> zlib[version='>=1.2.11,<1.3.0a0']\n",
      "leptonica -> zlib[version='>=1.2.11,<1.3.0a0']\n",
      "pytz -> python -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "fontconfig -> freetype[version='>=2.10.4,<3.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "libllvm11 -> zlib[version='>=1.2.11,<1.3.0a0']\n",
      "urllib3 -> python[version='>=3.9,<3.10.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "kiwisolver -> python[version='>=3.8,<3.9.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "freetype -> zlib[version='>=1.2.11,<1.3.0a0']\n",
      "flask -> python[version='>=3.6'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "fonttools -> python[version='>=3.6'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "libclang -> libllvm10[version='>=10.0.1,<10.1.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0']\n",
      "bottleneck -> python[version='>=3.8,<3.9.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "pysocks -> python[version='>=3.7,<3.8.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "google-pasta -> python -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "toolz -> python[version='>=3.5'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "pickleshare -> python[version='>=3'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "openh264 -> zlib[version='>=1.2.11,<1.3.0a0']\n",
      "basemap==1.2.0 -> python[version='>=3.6,<3.7.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0']\n",
      "cycler -> python[version='>=3.6'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "werkzeug -> python[version='>=3.6'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "pip -> python[version='>=3.10,<3.11.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "qt -> libxml2[version='>=2.9.8,<2.10.0a0'] -> zlib[version='>=1.2.12,<1.3.0a0']\n",
      "cytoolz -> python[version='>=3.10,<3.11.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "graphviz==2.40.1 -> zlib[version='>=1.2.11,<1.3.0a0']\n",
      "decorator -> python[version='>=3.5'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "brotli-python -> python[version='>=3.8,<3.9.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0']\n",
      "imutils==0.5.4 -> opencv -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "tesseract==4.1.1 -> zlib[version='>=1.2.11,<1.3.0a0']\n",
      "nss -> sqlite[version='>=3.37.0,<4.0a0'] -> zlib[version='>=1.2.12,<1.3.0a0']\n",
      "backcall -> python -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "wcwidth -> python -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "debugpy -> python[version='>=3.10,<3.11.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "ptyprocess -> python -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "wrapt -> python[version='>=3.10,<3.11.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "tqdm==4.60.0 -> python[version='>=2.7'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "leptonica -> libtiff[version='>=4.1.0,<5.0a0'] -> zlib[version='>=1.2.12,<1.3.0a0']\n",
      "ninja -> python -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "graphviz==2.40.1 -> cairo[version='>=1.14.12,<2.0a0'] -> zlib[version='>=1.2.12,<1.3.0a0']\n",
      "imageio -> pillow -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "flask-compress -> python[version='>=2.7'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "ipython -> python[version='>=3.9,<3.10.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "charset-normalizer -> python[version='>=3.5'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "pywavelets -> python[version='>=3.10,<3.11.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "pyparsing -> python[version='>=3.6'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "wheel -> python -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "psutil -> python[version='>=3.10,<3.11.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "zipp -> python[version='>=3.7'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "cython -> python[version='>=3.9,<3.10.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "termcolor -> python[version='>=3.10,<3.11.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "libnghttp2 -> zlib[version='>=1.2.11,<1.3.0a0']\n",
      "partd -> python[version='>=3.5'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "python_abi -> python=3.7 -> zlib[version='>=1.2.11,<1.3.0a0']\n",
      "py-opencv -> opencv==4.5.4 -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "pycparser -> python[version='>=3.6'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "dash -> python -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "tenacity -> python[version='>=3.10,<3.11.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "python~=3.7 -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "grpcio -> zlib[version='>=1.2.11,<1.3.0a0']\n",
      "jupyter-dash==0.4.0 -> python[version='>=3.5'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "importlib-metadata -> python[version='>=3.10,<3.11.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "libxkbcommon -> libxml2[version='>=2.9.12,<2.10.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "openjpeg -> libtiff[version='>=4.1.0,<5.0a0'] -> zlib[version='>=1.2.12,<1.3.0a0']\n",
      "seaborn -> matplotlib[version='>=2.2'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "grpcio -> python[version='>=3.9,<3.10.0a0'] -> zlib[version='>=1.2.12,<1.3.0a0']\n",
      "astor -> python[version='>=3.10,<3.11.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "requests -> python[version='>=3.6'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "packaging -> python[version='>=3.6'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "pyopenssl -> python[version='>=3.6'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "retrying -> python[version='>=3.6,<3.7.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "typing_extensions -> python[version='>=3.6'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "tesseract==4.1.1 -> libarchive[version='>=3.3.3,<3.6.0a0'] -> zlib[version='>=1.2.12,<1.3.0a0']\n",
      "pexpect -> python -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "markupsafe -> python[version='>=3.10,<3.11.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "jupyter_client -> python[version='>=3.10,<3.11.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "tensorflow==1.14.0 -> zlib[version='>=1.2.11,<1.3.0a0']\n",
      "tornado -> python[version='>=3.10,<3.11.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "gstreamer -> glib[version='>=2.69.1,<3.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0']\n",
      "python-dateutil -> python -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "mysql-libs -> zlib[version='>=1.2.11,<1.3.0a0']\n",
      "pyshp -> python -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "setuptools -> python[version='>=3.10,<3.11.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "libpq -> zlib[version='>=1.2.11,<1.3.0a0']\n",
      "pygments -> python[version='>=3.5'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "gettext -> libxml2[version='>=2.9.10,<2.10.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "maven==3.6.0 -> openjdk -> zlib[version='>=1.2.11,<1.3.0a0']\n",
      "dbus -> glib -> zlib[version='>=1.2.11,<1.3.0a0']\n",
      "cairo -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "libssh2 -> zlib[version='>=1.2.11,<1.3.0a0']\n",
      "protobuf -> libprotobuf=3.19.1 -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "pytorch==1.5.0 -> python[version='>=3.7,<3.8.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0']\n",
      "six -> python -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "pyzmq -> python[version='>=3.10,<3.11.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "gast -> python -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "keras-preprocessing -> python[version='>=3.6'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "parso -> python[version='>=3.6'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "gst-plugins-base -> zlib[version='>=1.2.11,<1.3.0a0']\n",
      "click -> python[version='>=3.10,<3.11.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "brotlipy -> python[version='>=3.7,<3.8.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "ffmpeg -> zlib[version='>=1.2.11,<1.3.0a0']\n",
      "tensorflow-estimator -> grpcio[version='>=1.8.6'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "imagecodecs-lite -> python[version='>=3.7,<3.8.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0']\n",
      "unicodedata2 -> python[version='>=3.10,<3.11.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "xlrd==1.2.0 -> python[version='>=3.7,<3.8.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "pillow -> libtiff[version='>=4.1.0,<5.0a0'] -> zlib[version='>=1.2.12,<1.3.0a0']\n",
      "tensorflow-base -> zlib[version='>=1.2.11,<1.3.0a0']\n",
      "markdown -> python[version='>=3.10,<3.11.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "nss -> zlib[version='>=1.2.11,<1.3.0a0']\n",
      "openjpeg -> zlib[version='>=1.2.11,<1.3.0a0']\n",
      "pycocotools==2.0.2 -> python[version='>=3.7,<3.8.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0']\n",
      "ibm_db==3.0.4 -> libxml2[version='>=2.9.10,<2.10.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "pango -> cairo[version='>=1.14.12,<2.0a0'] -> zlib[version='>=1.2.12,<1.3.0a0']\n",
      "sqlite -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "ansi2html -> python[version='>=3.10,<3.11.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "fsspec -> python[version='>=3.7'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "hdf5 -> zlib[version='1.2.*|>=1.2.11,<1.3.0a0']\n",
      "keras-applications -> python -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "certifi -> python[version='>=3.7,<3.8.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "olefile -> python[version='>=3.5,<3.6.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "tensorboard -> grpcio[version='>=1.24.3'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "cryptography -> python[version='>=3.10,<3.11.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "matplotlib-base -> freetype[version='>=2.11.0,<3.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "tifffile -> imagecodecs[version='>=2021.4.28'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "jedi -> python[version='>=3.10,<3.11.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "typing-extensions -> python -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "itsdangerous -> python[version='>=3.6'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "libtiff -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "nest-asyncio -> python[version='>=3.7,<3.8.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "numpy -> python[version='>=3.8,<3.9.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "harfbuzz -> cairo[version='>=1.14.12,<2.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0']\n",
      "libopencv -> libtiff[version='>=4.0.9,<5.0a0'] -> zlib[version='1.2.*|>=1.2.12,<1.3.0a0']\n",
      "\n",
      "Package traitlets conflicts for:\n",
      "ipykernel -> traitlets[version='>=4.1|>=4.1.0,<6.0|>=5.1.0,<6.0|>=5.1.0']\n",
      "jupyter-dash==0.4.0 -> ipykernel -> traitlets[version='>=4.1|>=4.1.0,<6.0|>=5.1.0,<6.0|>=5.1.0|>=5|>=4.2']\n",
      "jupyter_client -> traitlets\n",
      "plotly -> nbformat[version='>=4.2'] -> traitlets[version='>=4.1']\n",
      "ipython -> traitlets[version='>=4.2|>=5']\n",
      "ipykernel -> ipython[version='>=7.23.1'] -> traitlets[version='>=4.2|>=5']\n",
      "matplotlib-inline -> traitlets\n",
      "\n",
      "Package _libgcc_mutex conflicts for:\n",
      "libxml2 -> libgcc-ng[version='>=9.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "numpy -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "pandas -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "pycocotools==2.0.2 -> libgcc-ng[version='>=9.4.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "grpcio -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "alsa-lib -> libgcc-ng[version='>=10.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "zlib -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "libogg -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "nodejs==10.15.3 -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "xorg-libsm -> libgcc-ng[version='>=9.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "pango -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "nspr -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "libclang -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "libiconv -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "pywavelets -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "freetype -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "_openmp_mutex -> _libgcc_mutex==0.1[build='main|conda_forge']\n",
      "bzip2 -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "keyutils -> libgcc-ng[version='>=10.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "xorg-xproto -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "tensorboard -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "xorg-libxpm -> libgcc-ng[version='>=9.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "xorg-libxrender -> libgcc-ng[version='>=9.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "lcms2 -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "graphite2 -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "brotlipy -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "xorg-libice -> libgcc-ng[version='>=9.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "openjpeg -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "pyzmq -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "gst-plugins-base -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "libuuid -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "cudatoolkit -> libgcc-ng[version='>=9.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "dbus -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "cairo -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "unicodedata2 -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "libbrotlicommon -> libgcc-ng[version='>=10.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "gcc_impl_linux-64 -> libgcc-ng[version='>=4.9'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "py-opencv -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "libbrotlienc -> libgcc-ng[version='>=10.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "psutil -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "lzo -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "libxcb -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "imagecodecs-lite -> libgcc-ng[version='>=10.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "libtiff -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "gettext -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "libnsl -> libgcc-ng[version='>=9.4.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "libopus -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "nettle==3.6 -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "libgcc-ng -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "xorg-libx11 -> libgcc-ng[version='>=9.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "qt -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "expat -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "brotli -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "pixman -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "scikit-image==0.17.2 -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "libxkbcommon -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "geos -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "cython -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "binutils_impl_linux-64 -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "tesseract==4.1.1 -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "libprotobuf -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "brotli-python -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "cytoolz -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "scipy -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "libzlib -> libgcc-ng[version='>=10.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "tensorflow==1.14.0 -> libgcc-ng[version='>=5.4.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "libnghttp2 -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "gstreamer -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "libcurl -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "xorg-libxdmcp -> libgcc-ng[version='>=9.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "python~=3.7 -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "tbb -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "nss -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "wrapt -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "bottleneck -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "numexpr -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "openssl -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "xorg-libxext -> libgcc-ng[version='>=9.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "libvorbis -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "icu -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "openh264 -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "yaml -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "libglib -> libgcc-ng[version='>=9.4.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "gnutls -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "pcre -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "libssh2 -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "xorg-xextproto -> libgcc-ng[version='>=9.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "libevent -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "libbrotlidec -> libgcc-ng[version='>=10.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "kiwisolver -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "fribidi -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "libpq -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "matplotlib-base -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "libedit -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "pthread-stubs -> libgcc-ng[version='>=7.2.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "libsodium -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "leptonica -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "harfbuzz -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "ncurses -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "zstd -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "blas -> _openmp_mutex=[build=*_llvm] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "h5py -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "mysql-libs -> libgcc-ng[version='>=9.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "markupsafe -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "c-ares -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "ninja -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "sqlite -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "xz -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "brotli-bin -> libgcc-ng[version='>=10.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "gmp -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "krb5 -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "jpeg -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "protobuf -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "zeromq -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "libffi -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "graphviz==2.40.1 -> libgcc-ng[version='>=7.2.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "mkl -> _openmp_mutex=[build=*_llvm] -> _libgcc_mutex==0.1[build='main|conda_forge']\n",
      "readline -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "basemap==1.2.0 -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "giflib -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "hdf5 -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "pyyaml -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "lame -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "libarchive -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "libopencv -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "pytorch==1.5.0 -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "fontconfig -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "xorg-renderproto -> libgcc-ng[version='>=9.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "ibm_db==3.0.4 -> libgcc-ng[version='>=9.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "x264 -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "ffmpeg -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "debugpy -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "fonttools -> libgcc-ng[version='>=10.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "lz4-c -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "libllvm11 -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "tk -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "libpng -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "pyproj -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "libtool -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "xorg-libxt -> libgcc-ng[version='>=9.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "tensorflow-base -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "libev -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "xorg-kbproto -> libgcc-ng[version='>=9.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "proj4==5.2.0 -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "pillow -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "cffi -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "tornado -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "jasper -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "xorg-libxau -> libgcc-ng[version='>=9.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "libwebp -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "cryptography -> libgcc-ng -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "tifffile -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']\n",
      "\n",
      "Package libgfortran5 conflicts for:\n",
      "seaborn -> scipy[version='>=1.0'] -> libgfortran5[version='>=9.4.0']\n",
      "numexpr -> libopenblas[version='>=0.3.3,<1.0a0'] -> libgfortran5[version='>=10.3.0|>=11.2.0']\n",
      "tensorflow-base -> scipy[version='>=1.6.2'] -> libgfortran5[version='>=9.4.0']\n",
      "libgfortran-ng -> libgfortran5[version='11.2.0.*|12.1.0|8.4.0.*|9.3.0.*',build=hdcd56e2_16]\n",
      "imutils==0.5.4 -> scipy -> libgfortran5[version='>=9.4.0']\n",
      "hdf5 -> libgfortran-ng -> libgfortran5[version='11.2.0.*|12.1.0|8.4.0.*|9.3.0.*',build=hdcd56e2_16]\n",
      "blas -> libgfortran5[version='>=10.3.0']\n",
      "numpy -> libopenblas[version='>=0.3.3,<1.0a0'] -> libgfortran5[version='11.2.0.*|12.1.0|8.4.0.*|9.3.0.*|>=11.2.0|>=10.3.0',build=hdcd56e2_16]\n",
      "scipy -> libgfortran-ng -> libgfortran5[version='11.2.0.*|12.1.0|8.4.0.*|9.3.0.*|>=11.2.0|>=10.3.0',build=hdcd56e2_16]\n",
      "pytorch==1.5.0 -> blas=[build=mkl] -> libgfortran5[version='>=10.3.0']\n",
      "h5py -> hdf5 -> libgfortran5[version='>=9.3.0']\n",
      "scikit-image==0.17.2 -> scipy[version='>=0.19'] -> libgfortran5[version='>=9.4.0']\n",
      "keras-preprocessing -> scipy[version='>=0.14'] -> libgfortran5[version='>=9.4.0']\n",
      "networkx -> scipy[version='>=1.5,!=1.6.1'] -> libgfortran5[version='>=9.4.0']\n",
      "hdf5 -> libgfortran5[version='>=9.3.0']\n",
      "scipy -> libgfortran5[version='>=9.4.0']\n",
      "blas -> libgfortran-ng -> libgfortran5[version='11.2.0.*|12.1.0|8.4.0.*|9.3.0.*',build=hdcd56e2_16]\n",
      "mkl-devel -> blas=[build=mkl] -> libgfortran5[version='>=10.3.0']\n",
      "libopencv -> hdf5[version='>=1.10.5,<1.10.6.0a0'] -> libgfortran5[version='>=9.3.0']\n",
      "\n",
      "Package enum34 conflicts for:\n",
      "tensorflow-base -> enum34[version='>=1.1.6|>=1.1.6,<2.0a0']\n",
      "pyopenssl -> cryptography[version='>=2.8'] -> enum34\n",
      "tensorflow-estimator -> absl-py[version='>=0.7.0'] -> enum34[version='>=1.0.4|>=1.1.6|>=1.1.6,<2.0a0']\n",
      "traitlets -> enum34\n",
      "scikit-image==0.17.2 -> imageio[version='>=2.3.0'] -> enum34\n",
      "matplotlib-inline -> traitlets -> enum34\n",
      "urllib3 -> cryptography[version='>=1.3.4'] -> enum34\n",
      "cryptography -> enum34\n",
      "jupyter_core -> traitlets -> enum34\n",
      "jupyter_client -> traitlets -> enum34\n",
      "ipython -> traitlets[version='>=4.2'] -> enum34\n",
      "absl-py -> enum34\n",
      "tensorflow==1.14.0 -> tensorflow-base==1.14.0=gpu_py27he45bfe2_0 -> enum34[version='>=1.1.6']\n",
      "imageio -> enum34\n",
      "tensorboard -> absl-py[version='>=0.4'] -> enum34[version='>=1.0.4']\n",
      "tensorflow-base -> grpcio -> enum34[version='>=1.0.4']\n",
      "grpcio -> enum34[version='>=1.0.4']\n",
      "ipykernel -> traitlets[version='>=4.1.0,<6.0'] -> enum34\n",
      "\n",
      "Package scipy conflicts for:\n",
      "seaborn -> statsmodels[version='>=0.5.0'] -> scipy[version='>=0.14|>=1.3']\n",
      "tensorflow-estimator -> tensorflow-base[version='>=2.4.1,<2.5.0a0'] -> scipy[version='>=1.2.1|>=1.4.1|>=1.6.1']\n",
      "imutils==0.5.4 -> scipy\n",
      "seaborn -> scipy[version='>=0.15.2|>=1.0|>=1.0.1']\n",
      "networkx -> scipy[version='>=1.5,!=1.6.1']\n",
      "scikit-image==0.17.2 -> networkx[version='>=2.0'] -> scipy[version='>=1.5,!=1.6.1']\n",
      "keras-preprocessing -> scipy[version='>=0.14']\n",
      "tensorflow-base -> keras-preprocessing[version='>=1.1.2'] -> scipy[version='>=0.14']\n",
      "tensorflow-base -> scipy[version='>=1.2.1|>=1.4.1|>=1.6.1|>=1.6.2']\n",
      "scikit-image==0.17.2 -> scipy[version='>=0.19']\n",
      "\n",
      "Package subprocess32 conflicts for:\n",
      "seaborn -> matplotlib[version='>=2.2'] -> subprocess32\n",
      "basemap==1.2.0 -> matplotlib[version='>=1.0.0'] -> subprocess32\n",
      "\n",
      "Package readline conflicts for:\n",
      "libpq -> readline[version='>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "brotli-python -> python[version='>=3.8,<3.9.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "pexpect -> python -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "imageio -> python[version='>=3'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "cytoolz -> python[version='>=3.10,<3.11.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "imutils==0.5.4 -> python[version='>=3.7,<3.8.0a0'] -> readline[version='>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "pytorch==1.5.0 -> python[version='>=3.7,<3.8.0a0'] -> readline[version='>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "ansi2html -> python[version='>=3.10,<3.11.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "unicodedata2 -> python[version='>=3.10,<3.11.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "python-dateutil -> python -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "wrapt -> python[version='>=3.10,<3.11.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "grpcio -> python[version='>=3.9,<3.10.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "wcwidth -> python -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "psutil -> python[version='>=3.10,<3.11.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "keras-applications -> python -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "jupyter-dash==0.4.0 -> python[version='>=3.5'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "munkres -> python -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "tornado -> python[version='>=3.10,<3.11.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "tensorflow-estimator -> python -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "flask-compress -> python[version='>=2.7'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "charset-normalizer -> python[version='>=3.5'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "pyparsing -> python[version='>=3.6'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "setuptools -> python[version='>=3.10,<3.11.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "urllib3 -> python[version='>=3.9,<3.10.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "itsdangerous -> python[version='>=3.6'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "gast -> python -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "nest-asyncio -> python[version='>=3.7,<3.8.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "partd -> python[version='>=3.5'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "tifffile -> python[version='>=3.7'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "scikit-image==0.17.2 -> python[version='>=3.9,<3.10.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "ibm_db==3.0.4 -> python[version='>=3.7,<3.8.0a0'] -> readline[version='>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "entrypoints -> python[version='>=3.8,<3.9.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "cffi -> python[version='>=3.10,<3.11.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "plotly -> python[version='>=3.6'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "retrying -> python[version='>=3.6,<3.7.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "typing_extensions -> python[version='>=3.6'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "traitlets -> python[version='>=3.7'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "click -> python[version='>=3.10,<3.11.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "imagecodecs-lite -> python[version='>=3.7,<3.8.0a0'] -> readline[version='>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "astor -> python[version='>=3.10,<3.11.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "jinja2 -> python[version='>=3.6'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "six -> python -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "pyproj -> python[version='>=3.9,<3.10.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "pysocks -> python[version='>=3.7,<3.8.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "google-pasta -> python -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "markupsafe -> python[version='>=3.10,<3.11.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "sqlite -> readline[version='>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "pycocotools==2.0.2 -> python[version='>=3.7,<3.8.0a0'] -> readline[version='>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "ipython -> python[version='>=3.9,<3.10.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "kiwisolver -> python[version='>=3.8,<3.9.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "cryptography -> python[version='>=3.10,<3.11.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "flask -> python[version='>=3.6'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "protobuf -> python[version='>=3.8,<3.9.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "pyopenssl -> python[version='>=3.6'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "networkx -> python[version='>=3.8'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "seaborn -> python[version='>=3.6'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "ipykernel -> python[version='>=3.10,<3.11.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "xlrd==1.2.0 -> python[version='>=3.7,<3.8.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "importlib-metadata -> python[version='>=3.10,<3.11.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "idna -> python[version='>=3.5'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "nss -> sqlite[version='>=3.37.0,<4.0a0'] -> readline[version='>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "decorator -> python[version='>=3.5'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "backcall -> python -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "keras-preprocessing -> python[version='>=3.6'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "dask-core -> python[version='>=3.8'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "brotlipy -> python[version='>=3.7,<3.8.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "tensorflow==1.14.0 -> python=3.6 -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "wheel -> python -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "fsspec -> python[version='>=3.7'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "numexpr -> python[version='>=3.8,<3.9.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "markdown -> python[version='>=3.10,<3.11.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "certifi -> python[version='>=3.7,<3.8.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "python_abi -> python=3.7 -> readline[version='>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "bottleneck -> python[version='>=3.8,<3.9.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "pywavelets -> python[version='>=3.10,<3.11.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "scipy -> python[version='>=3.7,<3.8.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "fonttools -> python[version='>=3.6'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "tensorflow-base -> python[version='>=3.9,<3.10.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "cython -> python[version='>=3.9,<3.10.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "jedi -> python[version='>=3.10,<3.11.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "toolz -> python[version='>=3.5'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "typing-extensions -> python -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "pycparser -> python[version='>=3.6'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "pyyaml -> python[version='>=3.7,<3.8.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "pytz -> python -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "locket -> python[version='>=3.9,<3.10.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "pillow -> python[version='>=3.10,<3.11.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "dash -> python -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "tenacity -> python[version='>=3.10,<3.11.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "parso -> python[version='>=3.6'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "backports.functools_lru_cache -> python -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "jupyter_client -> python[version='>=3.10,<3.11.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "basemap==1.2.0 -> python[version='>=3.6,<3.7.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "debugpy -> python[version='>=3.10,<3.11.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "matplotlib-base -> python[version='>=3.8,<3.9.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "pickleshare -> python[version='>=3'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "olefile -> python[version='>=3.5,<3.6.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "werkzeug -> python[version='>=3.6'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "absl-py -> python -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "h5py -> python[version='>=3.10,<3.11.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "prompt-toolkit -> python -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "zipp -> python[version='>=3.7'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "numpy -> python[version='>=3.8,<3.9.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "ptyprocess -> python -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "py-opencv -> python[version='>=3.7,<3.8.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "matplotlib-inline -> python[version='>=3.6'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "tqdm==4.60.0 -> python[version='>=2.7'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "requests -> python[version='>=3.6'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "packaging -> python[version='>=3.6'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "qt -> sqlite[version='>=3.25.3,<4.0a0'] -> readline[version='>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "backports -> python -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "pygments -> python[version='>=3.5'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "pandas -> python[version='>=3.10,<3.11.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "ninja -> python -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "pyshp -> python -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "cloudpickle -> python[version='>=3.6'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "pyzmq -> python[version='>=3.10,<3.11.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "python~=3.7 -> readline[version='>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "termcolor -> python[version='>=3.10,<3.11.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "tensorboard -> python[version='>=3.2'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "pip -> python[version='>=3.10,<3.11.0a0'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "cycler -> python[version='>=3.6'] -> readline[version='7.*|>=7.0,<8.0a0|>=8.0,<9.0a0|>=8.1,<9.0a0']\n",
      "\n",
      "Package libgfortran-ng conflicts for:\n",
      "tensorboard -> numpy[version='>=1.12.0'] -> libgfortran-ng[version='7.2.0.*|>=7,<8.0a0|>=7.2.0|>=7.2.0,<8.0a0']\n",
      "tensorflow-base -> scipy[version='>=1.6.2'] -> libgfortran-ng[version='7.2.0.*|>=7,<8.0a0|>=7.2.0,<8.0a0|>=7.2.0']\n",
      "pyproj -> numpy -> libgfortran-ng[version='7.2.0.*|>=7,<8.0a0|>=7.2.0|>=7.2.0,<8.0a0']\n",
      "pytorch==1.5.0 -> numpy[version='>=1.11.3,<2.0a0'] -> libgfortran-ng[version='7.2.0.*|>=7,<8.0a0|>=7.2.0|>=7.2.0,<8.0a0']\n",
      "scipy -> libgfortran-ng[version='7.2.0.*|>=7,<8.0a0|>=7.2.0|>=7.2.0,<8.0a0']\n",
      "matplotlib-base -> numpy[version='>=1.16.6,<2.0a0'] -> libgfortran-ng[version='7.2.0.*|>=7,<8.0a0|>=7.2.0|>=7.2.0,<8.0a0']\n",
      "pywavelets -> numpy[version='>=1.18.5,<2.0a0'] -> libgfortran-ng[version='7.2.0.*|>=7,<8.0a0|>=7.2.0|>=7.2.0,<8.0a0']\n",
      "scikit-image==0.17.2 -> numpy[version='>=1.16.6,<2.0a0'] -> libgfortran-ng[version='7.2.0.*|>=7,<8.0a0|>=7.2.0|>=7.2.0,<8.0a0']\n",
      "basemap==1.2.0 -> numpy[version='>=1.14.6,<2.0a0'] -> libgfortran-ng[version='7.2.0.*|>=7,<8.0a0|>=7.2.0|>=7.2.0,<8.0a0']\n",
      "numpy -> libopenblas[version='>=0.3.3,<1.0a0'] -> libgfortran-ng[version='>=8,<9.0a0']\n",
      "imutils==0.5.4 -> numpy -> libgfortran-ng[version='7.2.0.*|>=7,<8.0a0|>=7.2.0|>=7.2.0,<8.0a0']\n",
      "pandas -> numpy[version='>=1.16.6,<2.0a0'] -> libgfortran-ng[version='7.2.0.*|>=7,<8.0a0|>=7.2.0,<8.0a0|>=7.2.0']\n",
      "tifffile -> numpy[version='>=1.15.1'] -> libgfortran-ng[version='7.2.0.*|>=7,<8.0a0|>=7.2.0|>=7.2.0,<8.0a0']\n",
      "tensorflow-estimator -> numpy[version='>=1.16.1'] -> libgfortran-ng[version='7.2.0.*|>=7,<8.0a0|>=7.2.0,<8.0a0']\n",
      "pycocotools==2.0.2 -> numpy[version='>=1.18.5,<2.0a0'] -> libgfortran-ng[version='>=7,<8.0a0']\n",
      "seaborn -> numpy[version='>=1.15'] -> libgfortran-ng[version='7.2.0.*|>=7,<8.0a0|>=7.2.0,<8.0a0|>=7.2.0']\n",
      "numpy -> libgfortran-ng[version='7.2.0.*|>=7,<8.0a0|>=7.2.0|>=7.2.0,<8.0a0']\n",
      "py-opencv -> numpy[version='>=1.11.3,<2.0a0'] -> libgfortran-ng[version='7.2.0.*|>=7,<8.0a0|>=7.2.0|>=7.2.0,<8.0a0']\n",
      "hdf5 -> libgfortran-ng[version='7.2.0.*|>=7,<8.0a0|>=7.2.0|>=7.2.0,<8.0a0']\n",
      "keras-applications -> numpy[version='>=1.9.1'] -> libgfortran-ng[version='7.2.0.*|>=7,<8.0a0|>=7.2.0|>=7.2.0,<8.0a0']\n",
      "h5py -> hdf5[version='>=1.10.6,<1.10.7.0a0'] -> libgfortran-ng[version='7.2.0.*|>=7,<8.0a0|>=7.2.0|>=7.2.0,<8.0a0']\n",
      "scipy -> libopenblas[version='>=0.3.2,<0.3.3.0a0'] -> libgfortran-ng[version='>=8,<9.0a0']\n",
      "numexpr -> numpy[version='>=1.16.6,<2.0a0'] -> libgfortran-ng[version='7.2.0.*|>=7,<8.0a0|>=7.2.0|>=7.2.0,<8.0a0|>=8,<9.0a0']\n",
      "mkl-devel -> blas=[build=mkl] -> libgfortran-ng\n",
      "bottleneck -> numpy[version='>=1.16.6,<2.0a0'] -> libgfortran-ng[version='7.2.0.*|>=7,<8.0a0|>=7.2.0|>=7.2.0,<8.0a0']\n",
      "blas -> libgfortran-ng\n",
      "keras-preprocessing -> numpy[version='>=1.9.1'] -> libgfortran-ng[version='7.2.0.*|>=7,<8.0a0|>=7.2.0|>=7.2.0,<8.0a0']\n",
      "libopencv -> hdf5[version='>=1.8.20,<1.9.0a0'] -> libgfortran-ng[version='7.2.0.*|>=7,<8.0a0|>=7.2.0|>=7.2.0,<8.0a0']\n",
      "imageio -> numpy -> libgfortran-ng[version='7.2.0.*|>=7,<8.0a0|>=7.2.0|>=7.2.0,<8.0a0']\n",
      "networkx -> scipy[version='>=1.5,!=1.6.1'] -> libgfortran-ng[version='>=7,<8.0a0']\n",
      "\n",
      "Package cython conflicts for:\n",
      "tensorflow-base -> grpcio -> cython\n",
      "grpcio -> cython\n",
      "tensorflow-estimator -> grpcio[version='>=1.8.6'] -> cython\n",
      "tensorboard -> grpcio[version='>=1.24.3'] -> cython\n",
      "pycocotools==2.0.2 -> cython\n",
      "\n",
      "Package jpeg conflicts for:\n",
      "openjpeg -> libtiff[version='>=4.1.0,<5.0a0'] -> jpeg[version='>=9b,<10a|>=9e,<10a|>=9c,<10a']\n",
      "tesseract==4.1.1 -> jpeg[version='>=9c,<10a']\n",
      "graphviz==2.40.1 -> jpeg[version='>=9b,<10a|>=9c,<10a']\n",
      "tensorflow-base -> jpeg[version='>=9b,<10a']\n",
      "tesseract==4.1.1 -> libtiff[version='>=4.1.0,<5.0a0'] -> jpeg[version='>=9b,<10a|>=9e,<10a']\n",
      "libtiff -> jpeg[version='>=9b,<10a|>=9e,<10a|>=9c,<10a']\n",
      "tifffile -> imagecodecs[version='>=2021.4.28'] -> jpeg[version='>=9b,<10a|>=9d,<10a']\n",
      "matplotlib-base -> pillow[version='>=6.2.0'] -> jpeg[version='>=9b,<10a|>=9d,<10a']\n",
      "libwebp -> libtiff[version='>=4.1.0,<5.0a0'] -> jpeg[version='>=9e,<10a']\n",
      "pillow -> libtiff[version='>=4.1.0,<5.0a0'] -> jpeg[version='>=9c,<10a|>=9e,<10a']\n",
      "scikit-image==0.17.2 -> pillow[version='>=4.3.0'] -> jpeg[version='>=9b,<10a|>=9d,<10a']\n",
      "leptonica -> libtiff[version='>=4.1.0,<5.0a0'] -> jpeg[version='>=9b,<10a|>=9e,<10a']\n",
      "imutils==0.5.4 -> opencv -> jpeg[version='>=9b,<10a|>=9d,<10a|>=9e,<10a']\n",
      "jasper -> jpeg[version='>=9b,<10a|>=9c,<10a']\n",
      "qt -> jpeg[version='>=9b,<10a|>=9d,<10a']\n",
      "libopencv -> jpeg[version='>=9b,<10a|>=9c,<10a']\n",
      "libopencv -> opencv==4.5.4 -> jpeg[version='>=9d,<10a|>=9e,<10a']\n",
      "lcms2 -> jpeg[version='>=9b,<10a|>=9d,<10a']\n",
      "py-opencv -> opencv==4.5.4 -> jpeg[version='>=9b,<10a|>=9d,<10a|>=9e,<10a|>=9c,<10a']\n",
      "graphviz==2.40.1 -> libtiff[version='>=4.0.9,<5.0a0'] -> jpeg[version='>=9e,<10a']\n",
      "imageio -> pillow -> jpeg[version='>=9b,<10a|>=9d,<10a']\n",
      "lcms2 -> libtiff[version='>=4.1.0,<5.0a0'] -> jpeg[version='>=9c,<10a|>=9e,<10a']\n",
      "pillow -> jpeg[version='>=9b,<10a|>=9d,<10a']\n",
      "libwebp -> jpeg[version='>=9b,<10a|>=9d,<10a|>=9c,<10a']\n",
      "leptonica -> jpeg[version='>=9c,<10a']\n",
      "opencv==3.4.9 -> libopencv==3.4.9=py37_2 -> jpeg[version='>=9c,<10a']\n",
      "\n",
      "Package importlib-metadata conflicts for:\n",
      "markdown -> importlib-metadata[version='>=4.4']\n",
      "ansi2html -> importlib-metadata\n",
      "tensorboard -> markdown[version='>=2.6.8'] -> importlib-metadata[version='>=4.4']\n",
      "jupyter-dash==0.4.0 -> ansi2html -> importlib-metadata[version='<5|>=3.6.0']\n",
      "tensorflow-base -> markdown[version='>=2.6.11'] -> importlib-metadata[version='>=4.4']\n",
      "flask -> importlib-metadata[version='>=3.6.0']\n",
      "dash -> flask[version='>=1.0.2'] -> importlib-metadata[version='>=3.6.0']\n",
      "flask-compress -> flask -> importlib-metadata[version='>=3.6.0']\n",
      "flask -> click[version='>=7.1.2'] -> importlib-metadata\n",
      "click -> importlib-metadata\n",
      "ipykernel -> importlib-metadata[version='<5']\n",
      "\n",
      "Package cycler conflicts for:\n",
      "pycocotools==2.0.2 -> matplotlib-base -> cycler[version='>=0.10']\n",
      "scikit-image==0.17.2 -> matplotlib-base[version='>=2.0.0'] -> cycler[version='>=0.10']\n",
      "basemap==1.2.0 -> matplotlib-base[version='>=1.0.0'] -> cycler[version='>=0.10']\n",
      "imutils==0.5.4 -> matplotlib-base -> cycler[version='>=0.10']\n",
      "networkx -> matplotlib-base[version='>=3.3'] -> cycler[version='>=0.10']\n",
      "matplotlib-base -> cycler[version='>=0.10']\n",
      "seaborn -> matplotlib[version='>=2.2'] -> cycler[version='>=0.10']\n",
      "\n",
      "Package tornado conflicts for:\n",
      "seaborn -> matplotlib[version='>=2.2'] -> tornado\n",
      "networkx -> matplotlib[version='>=3.3'] -> tornado\n",
      "ipykernel -> jupyter_client[version='<8.0'] -> tornado[version='>=4.1|>=6.0']\n",
      "matplotlib-base -> tornado\n",
      "basemap==1.2.0 -> matplotlib-base[version='>=1.0.0'] -> tornado\n",
      "ipykernel -> tornado[version='>=4.0|>=4.2|>=4.2,<7.0|>=6.1']\n",
      "scikit-image==0.17.2 -> matplotlib-base[version='>=2.0.0'] -> tornado\n",
      "imutils==0.5.4 -> matplotlib-base -> tornado\n",
      "jupyter_client -> tornado[version='>=4.1|>=6.0']\n",
      "jupyter-dash==0.4.0 -> ipykernel -> tornado[version='>=4.0|>=4.2|>=4.2,<7.0|>=6.1']\n",
      "pycocotools==2.0.2 -> matplotlib-base -> tornado\n",
      "\n",
      "Package numpy conflicts for:\n",
      "pycocotools==2.0.2 -> matplotlib-base -> numpy[version='>=1.14.6,<2.0a0|>=1.15.4,<2.0a0|>=1.16.6,<2.0a0|>=1.19.2,<2.0a0|>=1.21.2,<2.0a0|>=1.17|>=1.19.5,<2.0a0']\n",
      "py-opencv -> numpy[version='>=1.11.3,<2.0a0|>=1.9.3,<2.0a0|>=1.14.6,<2.0a0']\n",
      "h5py -> numpy[version='>=1.11.3,<2.0a0|>=1.14.6,<2.0a0|>=1.16.6,<2.0a0|>=1.21.2,<2.0a0']\n",
      "scikit-image==0.17.2 -> imageio[version='>=2.3.0'] -> numpy[version='>=1.11.3,<2.0a0|>=1.14.6,<2.0a0|>=1.15.4,<2.0a0|>=1.19.2,<2.0a0|>=1.21.2,<2.0a0|>=1.17|>=1.19.5,<2.0a0|>=1.19|>=1.18.5,<2.0a0|>=1.9.3,<2.0a0|>=1.15.1,<2.0a0|>=1.15.1']\n",
      "scipy -> numpy[version='>=1.11.3,<2.0a0|>=1.14.6,<2.0a0|>=1.16.6,<2.0a0|>=1.21.2,<2.0a0|>=1.15.1,<2.0a0|>=1.9.3,<2.0a0|>=1.18.5,<2.0a0']\n",
      "pywavelets -> numpy[version='>=1.11.3,<2.0a0|>=1.14.6,<2.0a0|>=1.16.6,<2.0a0|>=1.18.5,<2.0a0|>=1.21.2,<2.0a0|>=1.19.2,<2.0a0|>=1.9.3,<2.0a0|>=1.19.5,<2.0a0']\n",
      "libopencv -> opencv==4.5.4 -> numpy[version='1.16.*|1.21.*']\n",
      "pandas -> numpy[version='>=1.11.3,<2.0a0|>=1.12.1,<2.0a0|>=1.13.3,<2.0a0|>=1.14.6,<2.0a0|>=1.15.4,<2.0a0|>=1.16.6,<2.0a0|>=1.19.2,<2.0a0|>=1.21.5,<2.0a0|>=1.21.2,<2.0a0|>=1.20.3,<2.0a0|>=1.20.2,<2.0a0|>=1.9.3,<2.0a0|>=1.9']\n",
      "keras-applications -> h5py -> numpy[version='>=1.11.3,<2.0a0|>=1.14.6,<2.0a0|>=1.16.6,<2.0a0|>=1.21.2,<2.0a0']\n",
      "tifffile -> imagecodecs[version='>=2021.4.28'] -> numpy[version='>=1.15.4,<2.0a0|>=1.16.6,<2.0a0|>=1.21.2,<2.0a0|>=1.19.5,<2.0a0']\n",
      "pandas -> bottleneck[version='>=1.3.1'] -> numpy[version='>=1.16.4,<2.0a0|>=1.18.5,<2.0a0|>=1.19.5,<2.0a0']\n",
      "tensorflow-base -> numpy[version='>=1.12.1,<2.0a0|>=1.13.3,<2.0a0|>=1.14.6,<2.0a0|>=1.16.5,<2.0a0|>=1.16.6,<2.0a0|>=1.20|>=1.16.1,<2.0a0']\n",
      "tensorflow-estimator -> numpy[version='>=1.13.3|>=1.16.1']\n",
      "imutils==0.5.4 -> numpy\n",
      "networkx -> pandas[version='>=1.1'] -> numpy[version='>=1.14.6,<2.0a0|>=1.15.4,<2.0a0|>=1.16.6,<2.0a0|>=1.19.2,<2.0a0|>=1.21.5,<2.0a0|>=1.21.2,<2.0a0|>=1.20.3,<2.0a0|>=1.20.2,<2.0a0|>=1.18.5,<2.0a0|>=1.17|>=1.19.5,<2.0a0']\n",
      "scikit-image==0.17.2 -> numpy[version='>=1.16.5,<2.0a0|>=1.16.6,<2.0a0']\n",
      "py-opencv -> opencv==4.5.4 -> numpy[version='1.16.*|1.21.*']\n",
      "pytorch==1.5.0 -> numpy[version='>=1.11|>=1.11.3,<2.0a0']\n",
      "seaborn -> matplotlib[version='>=2.2'] -> numpy[version='>=1.11.3,<2.0a0|>=1.12.1,<2.0a0|>=1.13.3,<2.0a0|>=1.14.6,<2.0a0|>=1.21.5,<2.0a0|>=1.19.2,<2.0a0|>=1.21.2,<2.0a0|>=1.20.3,<2.0a0|>=1.20.2,<2.0a0|>=1.16.6,<2.0a0|>=1.15.4,<2.0a0|>=1.9.3,<2.0a0|>=1.15.1,<2.0a0|>=1.18.5,<2.0a0|>=1.9|>=1.17.0,<2.0a0|>=1.19.1,<2.0a0|>=1.4.0']\n",
      "keras-preprocessing -> scipy[version='>=0.14'] -> numpy[version='>=1.11.3,<2.0a0|>=1.14.6,<2.0a0|>=1.16.6,<2.0a0|>=1.21.2,<2.0a0|>=1.15.1,<2.0a0|>=1.9.3,<2.0a0|>=1.18.5,<2.0a0']\n",
      "imageio -> numpy\n",
      "keras-applications -> numpy[version='>=1.9.1']\n",
      "tensorboard -> numpy[version='>=1.12|>=1.12.0|>=1.16']\n",
      "basemap==1.2.0 -> numpy[version='>=1.11.3,<2.0a0|>=1.14.6,<2.0a0']\n",
      "keras-preprocessing -> numpy[version='>=1.9.1']\n",
      "bottleneck -> numpy[version='>=1.11.3,<2.0a0|>=1.14.6,<2.0a0|>=1.16.6,<2.0a0|>=1.21.2,<2.0a0|>=1.9.3,<2.0a0|>=1.19.5,<2.0a0']\n",
      "tensorflow-base -> h5py[version='>=3.1.0'] -> numpy[version='>=1.11.3,<2.0a0|>=1.12.0|>=1.18.5,<2.0a0|>=1.21.2,<2.0a0|>=1.9.1|>=1.16.1|>=1.13.3']\n",
      "pycocotools==2.0.2 -> numpy[version='>=1.18.5,<2.0a0']\n",
      "numexpr -> numpy[version='>=1.11.3,<2.0a0|>=1.14.6,<2.0a0|>=1.16.6,<2.0a0|>=1.21.2,<2.0a0|>=1.16.4,<2.0a0|>=1.15.4,<2.0a0|>=1.9.3,<2.0a0|>=1.18.5,<2.0a0']\n",
      "imutils==0.5.4 -> matplotlib-base -> numpy[version='1.16.*|>=1.14.6,<2.0a0|>=1.15.4,<2.0a0|>=1.16.6,<2.0a0|>=1.19.2,<2.0a0|>=1.21.2,<2.0a0|>=1.17|>=1.19.5,<2.0a0|1.21.*|>=1.9.3,<2.0a0|>=1.11.3,<2.0a0|>=1.15.1,<2.0a0|>=1.18.5,<2.0a0']\n",
      "seaborn -> numpy[version='>=1.13.3|>=1.15|>=1.9.3']\n",
      "tensorflow-estimator -> tensorflow-base[version='>=2.4.1,<2.5.0a0'] -> numpy[version='>=1.14.6,<2.0a0|>=1.16.5,<2.0a0|>=1.16.6,<2.0a0|>=1.16.1,<2.0a0']\n",
      "tensorflow==1.14.0 -> tensorboard[version='>=1.14.0,<1.15.0'] -> numpy[version='>=1.12.0|>=1.14.6,<2.0a0|>=1.16.1|>=1.16.1,<2.0a0']\n",
      "matplotlib-base -> numpy[version='>=1.14.6,<2.0a0|>=1.15.4,<2.0a0|>=1.16.6,<2.0a0|>=1.19.2,<2.0a0|>=1.21.2,<2.0a0|>=1.17|>=1.19.5,<2.0a0']\n",
      "basemap==1.2.0 -> matplotlib-base[version='>=1.0.0'] -> numpy[version='>=1.15.4,<2.0a0|>=1.16.6,<2.0a0|>=1.19.2,<2.0a0|>=1.21.2,<2.0a0|>=1.17|>=1.19.5,<2.0a0']\n",
      "opencv==3.4.9 -> py-opencv==3.4.9=py37h5ca1d4c_2 -> numpy[version='>=1.14.6,<2.0a0']\n",
      "tifffile -> numpy[version='>=1.11.3,<2.0a0|>=1.15.1|>=1.14.6,<2.0a0']\n",
      "pyproj -> numpy\n",
      "networkx -> numpy[version='>=1.19']\n",
      "imagecodecs-lite -> numpy[version='>=1.19.5,<2.0a0']\n",
      "\n",
      "Package python-dateutil conflicts for:\n",
      "ipykernel -> jupyter_client[version='<8.0'] -> python-dateutil[version='>=2.1|>=2.8.2']\n",
      "jupyter_client -> python-dateutil[version='>=2.1|>=2.8.2']\n",
      "pycocotools==2.0.2 -> matplotlib-base -> python-dateutil[version='>=2.1|>=2.7']\n",
      "scikit-image==0.17.2 -> matplotlib-base[version='>=2.0.0'] -> python-dateutil[version='>=2.1|>=2.7']\n",
      "seaborn -> matplotlib[version='>=2.2'] -> python-dateutil[version='>=2.5.*|>=2.6.1|>=2.7.3|>=2.8.1']\n",
      "basemap==1.2.0 -> matplotlib-base[version='>=1.0.0'] -> python-dateutil[version='>=2.1|>=2.7']\n",
      "pandas -> python-dateutil[version='>=2.5.*|>=2.6.1|>=2.7.3|>=2.8.1']\n",
      "networkx -> pandas[version='>=1.1'] -> python-dateutil[version='>=2.1|>=2.7|>=2.7.3|>=2.8.1']\n",
      "imutils==0.5.4 -> matplotlib-base -> python-dateutil[version='>=2.1|>=2.7']\n",
      "matplotlib-base -> python-dateutil[version='>=2.1|>=2.7']\n",
      "\n",
      "Package pysocks conflicts for:\n",
      "urllib3 -> pysocks[version='>=1.5.6,<2.0,!=1.5.7']\n",
      "requests -> urllib3[version='>=1.21.1,<1.27'] -> pysocks[version='>=1.5.6,<2.0,!=1.5.7']\n",
      "\n",
      "Package glib conflicts for:\n",
      "qt -> dbus[version='>=1.13.2,<2.0a0'] -> glib[version='>=2.63.1,<3.0a0|>=2.66.1,<3.0a0|>=2.69.1,<3.0a0']\n",
      "dbus -> glib[version='>=2.53.6,<2.54.0a0|>=2.56.1,<2.57.0a0|>=2.56.2,<2.57.0a0|>=2.63.1,<3.0a0|>=2.56.2,<3.0a0|>=2.56.1,<3.0a0|>=2.53.6,<3.0a0']\n",
      "pango -> glib[version='>=2.53.6,<2.54.0a0|>=2.56.1,<2.57.0a0|>=2.63.1,<3.0a0|>=2.65.0,<3.0a0|>=2.56.1,<3.0a0|>=2.53.6,<3.0a0']\n",
      "pango -> cairo[version='>=1.14.12,<2.0a0'] -> glib[version='>=2.67.4,<3.0a0|>=2.69.1,<3.0a0|>=2.68.2,<3.0a0']\n",
      "gstreamer -> glib[version='>=2.53.6,<2.54.0a0|>=2.56.1,<2.57.0a0|>=2.66.1,<3.0a0|>=2.69.1,<3.0a0|>=2.56.1,<3.0a0|>=2.53.6,<3.0a0']\n",
      "harfbuzz -> glib[version='>=2.53.6,<2.54.0a0|>=2.56.1,<2.57.0a0|>=2.63.1,<3.0a0|>=2.65.0,<3.0a0|>=2.67.4,<3.0a0|>=2.68.2,<3.0a0|>=2.69.1,<3.0a0|>=2.56.1,<3.0a0|>=2.53.6,<3.0a0']\n",
      "maven==3.6.0 -> openjdk -> glib[version='>=2.69.1,<3.0a0']\n",
      "cairo -> glib[version='>=2.53.6,<2.54.0a0|>=2.56.1,<2.57.0a0|>=2.67.4,<3.0a0|>=2.69.1,<3.0a0|>=2.56.1,<3.0a0|>=2.53.6,<3.0a0']\n",
      "gst-plugins-base -> glib[version='>=2.53.6,<2.54.0a0|>=2.56.1,<2.57.0a0|>=2.66.1,<3.0a0|>=2.69.1,<3.0a0|>=2.56.1,<3.0a0|>=2.53.6,<3.0a0']\n",
      "graphviz==2.40.1 -> glib[version='>=2.56.1,<2.57.0a0|>=2.56.1,<3.0a0']\n",
      "libopencv -> opencv==4.5.4 -> glib[version='>=2.53.6,<2.54.0a0|>=2.56.1,<2.57.0a0|>=2.69.1,<3.0a0|>=2.56.1,<3.0a0|>=2.53.6,<3.0a0|>=2.68.2,<3.0a0|>=2.67.4,<3.0a0|>=2.65.0,<3.0a0|>=2.63.1,<3.0a0']\n",
      "imutils==0.5.4 -> opencv -> glib[version='>=2.69.1,<3.0a0']\n",
      "graphviz==2.40.1 -> cairo[version='>=1.14.12,<2.0a0'] -> glib[version='>=2.53.6,<2.54.0a0|>=2.67.4,<3.0a0|>=2.69.1,<3.0a0|>=2.53.6,<3.0a0|>=2.65.0,<3.0a0|>=2.63.1,<3.0a0']\n",
      "qt -> glib[version='>=2.53.6,<2.54.0a0|>=2.56.1,<2.57.0a0|>=2.56.2,<2.57.0a0|>=2.56.2,<3.0a0|>=2.56.1,<3.0a0|>=2.53.6,<3.0a0']\n",
      "py-opencv -> opencv==4.5.4 -> glib[version='>=2.69.1,<3.0a0']\n",
      "\n",
      "Package opt_einsum conflicts for:\n",
      "tensorflow-estimator -> tensorflow-base[version='>=2.4.1,<2.5.0a0'] -> opt_einsum[version='>=2.3.2,<3.0a0|>=2.3.2|>=3.1.0|>=3.1.0,<4.0a0']\n",
      "tensorflow-base -> opt_einsum[version='3.3.0.*|>=3.1.0|>=2.3.2|>=2.3.2,<3.0a0|>=3.1.0,<4.0a0']\n",
      "\n",
      "Package libnsl conflicts for:\n",
      "zipp -> python[version='>=3.7'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "wrapt -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "jupyter_client -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "ptyprocess -> python -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "numexpr -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "matplotlib-inline -> python[version='>=3.6'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "tqdm==4.60.0 -> python[version='>=2.7'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "tensorflow-estimator -> python -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "packaging -> python[version='>=3.6'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "pycparser -> python[version='>=3.6'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "tornado -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "backports -> python -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "flask -> python[version='>=3.6'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "tifffile -> python[version='>=3.7'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "ninja -> python -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "pillow -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "pickleshare -> python[version='>=3'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "seaborn -> python[version='>=3.6'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "werkzeug -> python[version='>=3.6'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "xlrd==1.2.0 -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "python~=3.7 -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "jupyter-dash==0.4.0 -> python[version='>=3.5'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "click -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "py-opencv -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "backcall -> python -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "requests -> python[version='>=3.6'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "wheel -> python -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "partd -> python[version='>=3.5'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "ansi2html -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "python-dateutil -> python -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "cryptography -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "markupsafe -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "basemap==1.2.0 -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "psutil -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "olefile -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "imagecodecs-lite -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "debugpy -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "protobuf -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "flask-compress -> python[version='>=2.7'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "pyproj -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "charset-normalizer -> python[version='>=3.5'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "pyparsing -> python[version='>=3.6'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "networkx -> python[version='>=3.7'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "setuptools -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "cffi -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "cytoolz -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "pandas -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "brotlipy -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "plotly -> python[version='>=3.6'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "cython -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "typing_extensions -> python[version='>=3.6'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "pyzmq -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "pyopenssl -> python[version='>=3.6'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "ibm_db==3.0.4 -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "termcolor -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "locket -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "pytorch==1.5.0 -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "scipy -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "keras-applications -> python -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "six -> python -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "tensorboard -> python[version='>=3.2'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "munkres -> python -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "pysocks -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "google-pasta -> python -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "jedi -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "markdown -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "cycler -> python[version='>=3.6'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "pyyaml -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "imutils==0.5.4 -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "urllib3 -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "gast -> python -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "nest-asyncio -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "pygments -> python[version='>=3.5'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "matplotlib-base -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "cloudpickle -> python[version='>=3.6'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "tensorflow-base -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "ipykernel -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "prompt-toolkit -> python -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "traitlets -> python[version='>=3.7'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "dask-core -> python[version='>=3.7'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "bottleneck -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "wcwidth -> python -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "entrypoints -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "jinja2 -> python[version='>=3.6'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "typing-extensions -> python -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "keras-preprocessing -> python[version='>=3.6'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "pytz -> python -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "numpy -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "fsspec -> python[version='>=3.7'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "scikit-image==0.17.2 -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "certifi -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "grpcio -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "tensorflow==1.14.0 -> python=3.7 -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "ipython -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "brotli-python -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "pywavelets -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "importlib-metadata -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "python_abi -> python=3.7 -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "fonttools -> python[version='>=3.6'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "retrying -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "kiwisolver -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "idna -> python[version='>=3.5'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "pycocotools==2.0.2 -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "parso -> python[version='>=3.6'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "toolz -> python[version='>=3.5'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "itsdangerous -> python[version='>=3.6'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "decorator -> python[version='>=3.5'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "pexpect -> python -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "h5py -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "tenacity -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "dash -> python -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "pip -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "backports.functools_lru_cache -> python -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "imageio -> python[version='>=3'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "unicodedata2 -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "absl-py -> python -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "astor -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "pyshp -> python -> libnsl[version='>=2.0.0,<2.1.0a0']\n",
      "\n",
      "Package xorg-libxau conflicts for:\n",
      "cairo -> libxcb[version='>=1.13,<2.0a0'] -> xorg-libxau\n",
      "libxcb -> xorg-libxau\n",
      "xorg-libx11 -> libxcb=1 -> xorg-libxau\n",
      "gst-plugins-base -> libxcb[version='>=1.13,<2.0a0'] -> xorg-libxau\n",
      "graphviz==2.40.1 -> libxcb -> xorg-libxau\n",
      "harfbuzz -> libxcb[version='>=1.13,<2.0a0'] -> xorg-libxau\n",
      "qt -> libxcb[version='>=1.13,<2.0a0'] -> xorg-libxau\n",
      "\n",
      "Package setuptools conflicts for:\n",
      "pygments -> setuptools\n",
      "ibm_db==3.0.4 -> setuptools\n",
      "pandas -> numexpr[version='>=2.7.1'] -> setuptools\n",
      "jupyter-dash==0.4.0 -> ansi2html -> setuptools[version='>=18.5']\n",
      "ipython -> pygments[version='>=2.4.0'] -> setuptools\n",
      "seaborn -> matplotlib[version='>=2.2'] -> setuptools\n",
      "numexpr -> setuptools\n",
      "grpcio -> setuptools\n",
      "tensorflow-base -> grpcio -> setuptools\n",
      "networkx -> setuptools\n",
      "ipykernel -> ipython[version='>=7.23.1'] -> setuptools[version='>=18.5']\n",
      "basemap==1.2.0 -> matplotlib-base[version='>=1.0.0'] -> setuptools\n",
      "prompt-toolkit -> pygments -> setuptools\n",
      "protobuf -> setuptools\n",
      "plotly -> setuptools\n",
      "wcwidth -> backports.functools_lru_cache -> setuptools\n",
      "ansi2html -> setuptools\n",
      "backports.functools_lru_cache -> setuptools\n",
      "tensorflow-estimator -> grpcio[version='>=1.8.6'] -> setuptools\n",
      "wheel -> setuptools\n",
      "python~=3.7 -> pip -> setuptools\n",
      "dash -> setuptools\n",
      "imutils==0.5.4 -> matplotlib-base -> setuptools\n",
      "jinja2 -> setuptools\n",
      "tensorboard -> setuptools[version='>=41.0.0|>=41.4']\n",
      "markdown -> setuptools\n",
      "ipython -> setuptools[version='>=18.5']\n",
      "pip -> setuptools\n",
      "flask -> jinja2[version='>=3.0'] -> setuptools\n",
      "matplotlib-base -> setuptools\n",
      "cython -> setuptools\n",
      "tensorboard -> google-auth[version='>=1.6.3'] -> setuptools[version='>=40.3.0']\n",
      "pycocotools==2.0.2 -> cython -> setuptools\n",
      "scikit-image==0.17.2 -> matplotlib-base[version='>=2.0.0'] -> setuptools\n",
      "\n",
      "Package chardet conflicts for:\n",
      "requests -> chardet[version='>=3.0.2,<3.1.0|>=3.0.2,<4|>=3.0.2,<5']\n",
      "jupyter-dash==0.4.0 -> requests -> chardet[version='>=3.0.2,<3.1.0|>=3.0.2,<4|>=3.0.2,<5']\n",
      "tensorboard -> requests[version='>=2.21.0'] -> chardet[version='>=3.0.2,<3.1.0|>=3.0.2,<4|>=3.0.2,<5']\n",
      "plotly -> requests -> chardet[version='>=3.0.2,<3.1.0|>=3.0.2,<4|>=3.0.2,<5']\n",
      "\n",
      "Package libblas conflicts for:\n",
      "imageio -> numpy -> libblas[version='>=3.8.0,<4.0a0']\n",
      "imutils==0.5.4 -> numpy -> libblas[version='>=3.8.0,<4.0a0']\n",
      "tensorboard -> numpy[version='>=1.12.0'] -> libblas[version='>=3.8.0,<4.0a0']\n",
      "numexpr -> numpy[version='>=1.16.6,<2.0a0'] -> libblas[version='3.9.0|>=3.8.0,<4.0a0',build=14_linux64_mkl]\n",
      "pyproj -> numpy -> libblas[version='>=3.8.0,<4.0a0']\n",
      "blas-devel -> libblas==3.9.0=14_linux64_mkl\n",
      "scipy -> libblas[version='>=3.8.0,<4.0a0']\n",
      "pywavelets -> numpy[version='>=1.21.2,<2.0a0'] -> libblas[version='>=3.8.0,<4.0a0']\n",
      "seaborn -> numpy[version='>=1.15'] -> libblas[version='>=3.8.0,<4.0a0']\n",
      "pycocotools==2.0.2 -> numpy[version='>=1.18.5,<2.0a0'] -> libblas[version='>=3.8.0,<4.0a0']\n",
      "pandas -> numpy[version='>=1.21.5,<2.0a0'] -> libblas[version='>=3.8.0,<4.0a0']\n",
      "tifffile -> numpy[version='>=1.15.1'] -> libblas[version='>=3.8.0,<4.0a0']\n",
      "bottleneck -> numpy[version='>=1.16.6,<2.0a0'] -> libblas[version='>=3.8.0,<4.0a0']\n",
      "libcblas -> libblas==3.9.0=14_linux64_mkl\n",
      "liblapack -> libblas==3.9.0=14_linux64_mkl\n",
      "numpy -> libcblas[version='>=3.8.0,<4.0a0'] -> libblas==3.9.0=14_linux64_mkl\n",
      "keras-preprocessing -> numpy[version='>=1.9.1'] -> libblas[version='>=3.8.0,<4.0a0']\n",
      "scikit-image==0.17.2 -> numpy[version='>=1.16.6,<2.0a0'] -> libblas[version='>=3.8.0,<4.0a0']\n",
      "matplotlib-base -> numpy[version='>=1.19.2,<2.0a0'] -> libblas[version='>=3.8.0,<4.0a0']\n",
      "py-opencv -> numpy[version='>=1.11.3,<2.0a0'] -> libblas[version='>=3.8.0,<4.0a0']\n",
      "tensorflow-base -> numpy[version='>=1.20'] -> libblas[version='>=3.8.0,<4.0a0']\n",
      "liblapacke -> libblas==3.9.0=14_linux64_mkl\n",
      "h5py -> numpy[version='>=1.21.2,<2.0a0'] -> libblas[version='>=3.8.0,<4.0a0']\n",
      "keras-applications -> numpy[version='>=1.9.1'] -> libblas[version='>=3.8.0,<4.0a0']\n",
      "scipy -> libcblas[version='>=3.8.0,<4.0a0'] -> libblas==3.9.0=14_linux64_mkl\n",
      "libopencv -> liblapacke[version='>=3.8.0,<4.0.0a0'] -> libblas==3.9.0=14_linux64_mkl\n",
      "pytorch==1.5.0 -> numpy[version='>=1.11.3,<2.0a0'] -> libblas[version='3.9.0|>=3.8.0,<4.0a0',build=14_linux64_mkl]\n",
      "basemap==1.2.0 -> numpy[version='>=1.14.6,<2.0a0'] -> libblas[version='>=3.8.0,<4.0a0']\n",
      "tensorflow-estimator -> numpy[version='>=1.16.1'] -> libblas[version='>=3.8.0,<4.0a0']\n",
      "numpy -> libblas[version='>=3.8.0,<4.0a0']\n",
      "networkx -> numpy[version='>=1.19'] -> libblas[version='>=3.8.0,<4.0a0']\n",
      "mkl-devel -> blas=[build=mkl] -> libblas==3.9.0=14_linux64_mkl\n",
      "imagecodecs-lite -> numpy[version='>=1.19.5,<2.0a0'] -> libblas[version='>=3.8.0,<4.0a0']\n",
      "blas -> libblas==3.9.0=14_linux64_mkl\n",
      "\n",
      "Package tzdata conflicts for:\n",
      "pyparsing -> python[version='>=3.6'] -> tzdata\n",
      "itsdangerous -> python[version='>=3.6'] -> tzdata\n",
      "astor -> python[version='>=3.10,<3.11.0a0'] -> tzdata\n",
      "pillow -> python[version='>=3.10,<3.11.0a0'] -> tzdata\n",
      "plotly -> python[version='>=3.6'] -> tzdata\n",
      "ansi2html -> python[version='>=3.10,<3.11.0a0'] -> tzdata\n",
      "markdown -> python[version='>=3.10,<3.11.0a0'] -> tzdata\n",
      "pickleshare -> python[version='>=3'] -> tzdata\n",
      "xlrd==1.2.0 -> python -> tzdata\n",
      "bottleneck -> python[version='>=3.9,<3.10.0a0'] -> tzdata\n",
      "markupsafe -> python[version='>=3.10,<3.11.0a0'] -> tzdata\n",
      "grpcio -> python[version='>=3.9,<3.10.0a0'] -> tzdata\n",
      "ipython -> python[version='>=3.9,<3.10.0a0'] -> tzdata\n",
      "matplotlib-base -> python[version='>=3.9,<3.10.0a0'] -> tzdata\n",
      "pywavelets -> python[version='>=3.10,<3.11.0a0'] -> tzdata\n",
      "fonttools -> python[version='>=3.6'] -> tzdata\n",
      "google-pasta -> python -> tzdata\n",
      "jedi -> python[version='>=3.10,<3.11.0a0'] -> tzdata\n",
      "toolz -> python[version='>=3.5'] -> tzdata\n",
      "numpy -> python[version='>=3.9,<3.10.0a0'] -> tzdata\n",
      "dash -> python -> tzdata\n",
      "partd -> python[version='>=3.5'] -> tzdata\n",
      "pip -> python[version='>=3.10,<3.11.0a0'] -> tzdata\n",
      "numexpr -> python[version='>=3.9,<3.10.0a0'] -> tzdata\n",
      "traitlets -> python[version='>=3.7'] -> tzdata\n",
      "flask -> python[version='>=3.6'] -> tzdata\n",
      "ninja -> python -> tzdata\n",
      "pycparser -> python[version='>=3.6'] -> tzdata\n",
      "dask-core -> python[version='>=3.8'] -> tzdata\n",
      "seaborn -> python[version='>=3.6'] -> tzdata\n",
      "decorator -> python[version='>=3.5'] -> tzdata\n",
      "jupyter_core -> python[version='>=3.10,<3.11.0a0'] -> tzdata\n",
      "werkzeug -> python[version='>=3.6'] -> tzdata\n",
      "importlib-metadata -> python[version='>=3.10,<3.11.0a0'] -> tzdata\n",
      "imageio -> python[version='>=3'] -> tzdata\n",
      "nest-asyncio -> python[version='>=3.9,<3.10.0a0'] -> tzdata\n",
      "pexpect -> python -> tzdata\n",
      "wcwidth -> python -> tzdata\n",
      "debugpy -> python[version='>=3.10,<3.11.0a0'] -> tzdata\n",
      "termcolor -> python[version='>=3.10,<3.11.0a0'] -> tzdata\n",
      "ptyprocess -> python -> tzdata\n",
      "parso -> python[version='>=3.6'] -> tzdata\n",
      "wrapt -> python[version='>=3.10,<3.11.0a0'] -> tzdata\n",
      "click -> python[version='>=3.10,<3.11.0a0'] -> tzdata\n",
      "tqdm==4.60.0 -> python[version='>=2.7'] -> tzdata\n",
      "keras-applications -> python -> tzdata\n",
      "wheel -> python -> tzdata\n",
      "cython -> python[version='>=3.9,<3.10.0a0'] -> tzdata\n",
      "tifffile -> python[version='>=3.7'] -> tzdata\n",
      "tornado -> python[version='>=3.10,<3.11.0a0'] -> tzdata\n",
      "pyyaml -> python[version='>=3.9,<3.10.0a0'] -> tzdata\n",
      "pyshp -> python -> tzdata\n",
      "brotlipy -> python[version='>=3.9,<3.10.0a0'] -> tzdata\n",
      "setuptools -> python[version='>=3.10,<3.11.0a0'] -> tzdata\n",
      "h5py -> python[version='>=3.10,<3.11.0a0'] -> tzdata\n",
      "python~=3.7 -> tzdata\n",
      "tensorboard -> python[version='>=3.2'] -> tzdata\n",
      "psutil -> python[version='>=3.10,<3.11.0a0'] -> tzdata\n",
      "entrypoints -> python[version='>=3.9,<3.10.0a0'] -> tzdata\n",
      "cycler -> python[version='>=3.6'] -> tzdata\n",
      "typing_extensions -> python[version='>=3.6'] -> tzdata\n",
      "certifi -> python[version='>=3.9,<3.10.0a0'] -> tzdata\n",
      "scipy -> python[version='>=3.9,<3.10.0a0'] -> tzdata\n",
      "keras-preprocessing -> python[version='>=3.6'] -> tzdata\n",
      "tenacity -> python[version='>=3.10,<3.11.0a0'] -> tzdata\n",
      "cytoolz -> python[version='>=3.10,<3.11.0a0'] -> tzdata\n",
      "backports.functools_lru_cache -> python -> tzdata\n",
      "jupyter_client -> python[version='>=3.10,<3.11.0a0'] -> tzdata\n",
      "backcall -> python -> tzdata\n",
      "retrying -> python -> tzdata\n",
      "python-dateutil -> python -> tzdata\n",
      "requests -> python[version='>=3.6'] -> tzdata\n",
      "typing-extensions -> python -> tzdata\n",
      "zipp -> python[version='>=3.7'] -> tzdata\n",
      "pygments -> python[version='>=3.5'] -> tzdata\n",
      "matplotlib-inline -> python[version='>=3.6'] -> tzdata\n",
      "olefile -> python -> tzdata\n",
      "tensorflow-estimator -> python -> tzdata\n",
      "flask-compress -> python[version='>=2.7'] -> tzdata\n",
      "packaging -> python[version='>=3.6'] -> tzdata\n",
      "jinja2 -> python[version='>=3.6'] -> tzdata\n",
      "charset-normalizer -> python[version='>=3.5'] -> tzdata\n",
      "six -> python -> tzdata\n",
      "backports -> python -> tzdata\n",
      "pandas -> python[version='>=3.10,<3.11.0a0'] -> tzdata\n",
      "munkres -> python -> tzdata\n",
      "cffi -> python[version='>=3.10,<3.11.0a0'] -> tzdata\n",
      "unicodedata2 -> python[version='>=3.10,<3.11.0a0'] -> tzdata\n",
      "cloudpickle -> python[version='>=3.6'] -> tzdata\n",
      "urllib3 -> python[version='>=3.9,<3.10.0a0'] -> tzdata\n",
      "absl-py -> python -> tzdata\n",
      "kiwisolver -> python[version='>=3.9,<3.10.0a0'] -> tzdata\n",
      "scikit-image==0.17.2 -> python[version='>=3.9,<3.10.0a0'] -> tzdata\n",
      "prompt-toolkit -> python -> tzdata\n",
      "protobuf -> python[version='>=3.9,<3.10.0a0'] -> tzdata\n",
      "pyproj -> python[version='>=3.9,<3.10.0a0'] -> tzdata\n",
      "idna -> python[version='>=3.5'] -> tzdata\n",
      "pysocks -> python[version='>=3.10,<3.11.0a0'] -> tzdata\n",
      "tensorflow-base -> python[version='>=3.9,<3.10.0a0'] -> tzdata\n",
      "cryptography -> python[version='>=3.10,<3.11.0a0'] -> tzdata\n",
      "fsspec -> python[version='>=3.7'] -> tzdata\n",
      "pyopenssl -> python[version='>=3.6'] -> tzdata\n",
      "networkx -> python[version='>=3.8'] -> tzdata\n",
      "pytz -> python -> tzdata\n",
      "ipykernel -> python[version='>=3.10,<3.11.0a0'] -> tzdata\n",
      "locket -> python[version='>=3.9,<3.10.0a0'] -> tzdata\n",
      "pyzmq -> python[version='>=3.10,<3.11.0a0'] -> tzdata\n",
      "gast -> python -> tzdata\n",
      "jupyter-dash==0.4.0 -> python[version='>=3.5'] -> tzdata\n",
      "\n",
      "Package protobuf conflicts for:\n",
      "tensorboard -> protobuf[version='>=3.4.0|>=3.6.0|>=3.8.0|>=3.6.1']\n",
      "tensorflow-base -> grpcio -> protobuf[version='>=3.5.0']\n",
      "grpcio -> protobuf[version='>=3.5.0']\n",
      "tensorflow==1.14.0 -> tensorboard[version='>=1.14.0,<1.15.0'] -> protobuf[version='>=3.4.0|>=3.6.0|>=3.6.1']\n",
      "tensorflow-estimator -> grpcio[version='>=1.8.6'] -> protobuf[version='>=3.14.0|>=3.5.0|>=3.8.0|>=3.9.2|>=3.6.1,<4.0a0']\n",
      "tensorboard -> grpcio[version='>=1.6.3'] -> protobuf[version='>=3.5.0']\n",
      "tensorflow-estimator -> protobuf[version='>=3.6.1']\n",
      "tensorflow-base -> protobuf[version='>=3.14.0|>=3.9.2|>=3.8.0|>=3.6.1,<4.0a0|>=3.6.1|>=3.6.0|>=3.4.0|>=3.3.0']\n",
      "\n",
      "Package xorg-libsm conflicts for:\n",
      "cairo -> xorg-libsm\n",
      "pango -> cairo[version='>=1.14.12,<2.0a0'] -> xorg-libsm\n",
      "graphviz==2.40.1 -> cairo[version='>=1.14.12,<2.0a0'] -> xorg-libsm\n",
      "harfbuzz -> cairo[version='>=1.14.12,<2.0a0'] -> xorg-libsm\n",
      "xorg-libxpm -> xorg-libxt[version='>=1.2.1,<2.0a0'] -> xorg-libsm=1.2\n",
      "xorg-libxt -> xorg-libsm=1.2\n",
      "\n",
      "Package freetype conflicts for:\n",
      "pillow -> freetype[version='>=2.10.3,<3.0a0|>=2.10.4,<3.0a0|>=2.9.1,<3.0a0|>=2.8,<2.9.0a0']\n",
      "networkx -> matplotlib-base[version='>=3.3'] -> freetype[version='>=2.10.2,<3.0a0|>=2.10.4,<3.0a0|>=2.11.0,<3.0a0|>=2.3']\n",
      "pango -> fontconfig[version='>=2.13.0,<3.0a0'] -> freetype[version='>=2.9,<3.0a0']\n",
      "imageio -> pillow -> freetype[version='>=2.10.3,<3.0a0|>=2.10.4,<3.0a0|>=2.9.1,<3.0a0|>=2.8,<2.9.0a0']\n",
      "cairo -> freetype[version='>=2.10.4,<3.0a0|>=2.9.1,<3.0a0|>=2.8,<2.9.0a0']\n",
      "qt -> fontconfig[version='>=2.13.0,<3.0a0'] -> freetype[version='>=2.9,<3.0a0']\n",
      "ffmpeg -> freetype[version='>=2.8,<2.9.0a0|>=2.9.1,<3.0a0']\n",
      "cairo -> fontconfig[version='>=2.13.0,<3.0a0'] -> freetype[version='>=2.9,<3.0a0']\n",
      "basemap==1.2.0 -> matplotlib-base[version='>=1.0.0'] -> freetype[version='>=2.10.2,<3.0a0|>=2.10.4,<3.0a0|>=2.11.0,<3.0a0|>=2.3|>=2.9.1,<3.0a0|>=2.8,<2.9.0a0']\n",
      "graphviz==2.40.1 -> cairo[version='>=1.14.12,<2.0a0'] -> freetype[version='>=2.10.4,<3.0a0|>=2.9,<3.0a0']\n",
      "imutils==0.5.4 -> matplotlib-base -> freetype[version='>=2.10.2,<3.0a0|>=2.10.4,<3.0a0|>=2.11.0,<3.0a0|>=2.3|>=2.9.1,<3.0a0|>=2.8,<2.9.0a0']\n",
      "scikit-image==0.17.2 -> matplotlib-base[version='>=2.0.0'] -> freetype[version='>=2.10.2,<3.0a0|>=2.10.4,<3.0a0|>=2.11.0,<3.0a0|>=2.3|>=2.9.1,<3.0a0|>=2.10.3,<3.0a0|>=2.8,<2.9.0a0']\n",
      "matplotlib-base -> freetype[version='>=2.10.2,<3.0a0|>=2.10.4,<3.0a0|>=2.11.0,<3.0a0|>=2.3|>=2.9.1,<3.0a0']\n",
      "maven==3.6.0 -> openjdk -> freetype\n",
      "opencv==3.4.9 -> libopencv==3.4.9=py37_2 -> freetype[version='>=2.9.1,<3.0a0']\n",
      "fontconfig -> freetype[version='>=2.10.4,<3.0a0|>=2.9.1,<3.0a0|>=2.9,<3.0a0|>=2.8,<2.9.0a0']\n",
      "libopencv -> opencv==4.5.4 -> freetype[version='>=2.10.4,<3.0a0']\n",
      "qt -> freetype[version='>=2.10.4,<3.0a0|>=2.8,<2.9.0a0|>=2.9.1,<3.0a0']\n",
      "libopencv -> freetype[version='>=2.8,<2.9.0a0|>=2.9.1,<3.0a0']\n",
      "matplotlib-base -> pillow[version='>=6.2.0'] -> freetype[version='>=2.10.3,<3.0a0']\n",
      "pango -> freetype[version='>=2.10.4,<3.0a0|>=2.8,<2.9.0a0|>=2.9.1,<3.0a0']\n",
      "py-opencv -> opencv==4.5.4 -> freetype[version='>=2.10.4,<3.0a0|>=2.9.1,<3.0a0|>=2.8,<2.9.0a0']\n",
      "graphviz==2.40.1 -> freetype[version='>=2.8,<2.9.0a0|>=2.9.1,<3.0a0']\n",
      "harfbuzz -> freetype[version='>=2.10.4,<3.0a0|>=2.9.1,<3.0a0|>=2.8,<2.9.0a0']\n",
      "pycocotools==2.0.2 -> matplotlib-base -> freetype[version='>=2.10.2,<3.0a0|>=2.10.4,<3.0a0|>=2.11.0,<3.0a0|>=2.3|>=2.9.1,<3.0a0']\n",
      "seaborn -> matplotlib[version='>=2.2'] -> freetype[version='>=2.8,<2.9.0a0|>=2.9.1,<3.0a0']\n",
      "\n",
      "Package dataclasses conflicts for:\n",
      "tensorboard -> werkzeug[version='>=0.11.15'] -> dataclasses\n",
      "flask -> werkzeug[version='>=2.0'] -> dataclasses\n",
      "werkzeug -> dataclasses\n",
      "\n",
      "Package libprotobuf conflicts for:\n",
      "tensorflow-estimator -> protobuf[version='>=3.6.1'] -> libprotobuf[version='3.10.1.*|3.11.2.*|3.11.3.*|3.11.4.*|3.12.3.*|3.12.4.*|3.13.0.*|3.13.0.1.*|3.14.0.*|3.17.2.*|3.19.1.*|>=3.19.1,<3.20.0a0|>=3.17.2,<3.18.0a0|>=3.14.0,<3.15.0a0|>=3.13.0.1,<3.14.0a0|>=3.13.0,<3.14.0a0|>=3.12.4,<3.13.0a0|>=3.12.3,<3.13.0a0|>=3.11.4,<3.12.0a0|>=3.11.3,<3.12.0a0|>=3.11.2,<3.12.0a0|>=3.10.1,<3.11.0a0|3.9.2.*|>=3.9.2,<3.10.0a0|3.8.0.*|>=3.8.0,<3.9.0a0|>=3.7.1,<3.8.0a0|>=3.6.1,<3.6.2.0a0|3.20.1.*|>=3.20.1,<3.21.0a0']\n",
      "tensorflow-base -> protobuf[version='>=3.9.2'] -> libprotobuf[version='3.10.1.*|3.11.2.*|3.11.3.*|3.11.4.*|3.12.3.*|3.12.4.*|3.13.0.*|3.13.0.1.*|3.14.0.*|3.17.2.*|3.19.1.*|>=3.19.1,<3.20.0a0|>=3.17.2,<3.18.0a0|>=3.13.0.1,<3.14.0a0|>=3.13.0,<3.14.0a0|>=3.12.4,<3.13.0a0|>=3.12.3,<3.13.0a0|>=3.11.4,<3.12.0a0|>=3.11.3,<3.12.0a0|>=3.11.2,<3.12.0a0|>=3.10.1,<3.11.0a0|3.9.2.*|>=3.9.2,<3.10.0a0|3.20.1.*|>=3.20.1,<3.21.0a0|3.8.0.*|>=3.8.0,<3.9.0a0|>=3.7.1,<3.8.0a0|>=3.6.1,<3.6.2.0a0|>=3.6.0,<3.6.1.0a0|>=3.5.2,<3.6.0a0|>=3.5.1,<3.6.0a0|>=3.4.1,<3.5.0a0']\n",
      "protobuf -> libprotobuf[version='3.10.1.*|3.11.2.*|3.11.3.*|3.11.4.*|3.12.3.*|3.12.4.*|3.13.0.*|3.13.0.1.*|3.14.0.*|3.17.2.*|3.19.1.*|>=3.19.1,<3.20.0a0|>=3.17.2,<3.18.0a0|>=3.14.0,<3.15.0a0|>=3.13.0.1,<3.14.0a0|>=3.13.0,<3.14.0a0|>=3.12.4,<3.13.0a0|>=3.12.3,<3.13.0a0|>=3.11.4,<3.12.0a0|>=3.11.3,<3.12.0a0|>=3.11.2,<3.12.0a0|>=3.10.1,<3.11.0a0|3.9.2.*|>=3.9.2,<3.10.0a0|3.8.0.*|>=3.8.0,<3.9.0a0|>=3.7.1,<3.8.0a0|>=3.6.1,<3.6.2.0a0|>=3.6.0,<3.6.1.0a0|>=3.5.2,<3.6.0a0|>=3.5.1,<3.6.0a0|>=3.4.1,<3.5.0a0|3.20.1.*|>=3.20.1,<3.21.0a0']\n",
      "tensorboard -> protobuf[version='>=3.6.0'] -> libprotobuf[version='3.10.1.*|3.11.2.*|3.11.3.*|3.11.4.*|3.12.3.*|3.12.4.*|3.13.0.*|3.13.0.1.*|3.14.0.*|3.17.2.*|3.19.1.*|>=3.19.1,<3.20.0a0|>=3.17.2,<3.18.0a0|>=3.14.0,<3.15.0a0|>=3.13.0.1,<3.14.0a0|>=3.13.0,<3.14.0a0|>=3.12.4,<3.13.0a0|>=3.12.3,<3.13.0a0|>=3.11.4,<3.12.0a0|>=3.11.3,<3.12.0a0|>=3.11.2,<3.12.0a0|>=3.10.1,<3.11.0a0|3.9.2.*|>=3.9.2,<3.10.0a0|3.8.0.*|>=3.8.0,<3.9.0a0|>=3.7.1,<3.8.0a0|>=3.6.1,<3.6.2.0a0|>=3.6.0,<3.6.1.0a0|3.20.1.*|>=3.20.1,<3.21.0a0|>=3.5.2,<3.6.0a0|>=3.5.1,<3.6.0a0|>=3.4.1,<3.5.0a0']\n",
      "tensorflow-base -> libprotobuf[version='>=3.14.0,<3.15.0a0']\n",
      "imutils==0.5.4 -> opencv -> libprotobuf[version='3.5.1|>=3.5.1,<3.6.0a0|>=3.5.2,<3.6.0a0|>=3.4.1,<3.5.0a0|>=3.20.1,<3.21.0a0']\n",
      "grpcio -> protobuf[version='>=3.5.0'] -> libprotobuf[version='3.10.1.*|3.11.2.*|3.11.3.*|3.11.4.*|3.12.3.*|3.12.4.*|3.13.0.*|3.13.0.1.*|3.14.0.*|3.17.2.*|3.19.1.*|>=3.19.1,<3.20.0a0|>=3.17.2,<3.18.0a0|>=3.14.0,<3.15.0a0|>=3.13.0.1,<3.14.0a0|>=3.13.0,<3.14.0a0|>=3.12.4,<3.13.0a0|>=3.12.3,<3.13.0a0|>=3.11.4,<3.12.0a0|>=3.11.3,<3.12.0a0|>=3.11.2,<3.12.0a0|>=3.10.1,<3.11.0a0|3.9.2.*|>=3.9.2,<3.10.0a0|3.8.0.*|>=3.8.0,<3.9.0a0|>=3.7.1,<3.8.0a0|>=3.6.1,<3.6.2.0a0|>=3.6.0,<3.6.1.0a0|>=3.5.2,<3.6.0a0|>=3.5.1,<3.6.0a0|3.20.1.*|>=3.20.1,<3.21.0a0']\n",
      "libopencv -> opencv==4.5.4 -> libprotobuf[version='3.5.1|>=3.5.1,<3.6.0a0|>=3.20.1,<3.21.0a0']\n",
      "py-opencv -> opencv==4.5.4 -> libprotobuf[version='3.5.1|>=3.5.1,<3.6.0a0|>=3.20.1,<3.21.0a0|>=3.5.2,<3.6.0a0']\n",
      "libopencv -> libprotobuf[version='>=3.5.2,<3.6.0a0']\n",
      "\n",
      "Package liblapack conflicts for:\n",
      "pywavelets -> numpy[version='>=1.21.2,<2.0a0'] -> liblapack[version='>=3.8.0,<4.0a0']\n",
      "matplotlib-base -> numpy[version='>=1.19.2,<2.0a0'] -> liblapack[version='>=3.8.0,<4.0a0']\n",
      "networkx -> numpy[version='>=1.19'] -> liblapack[version='>=3.8.0,<4.0a0']\n",
      "py-opencv -> numpy[version='>=1.11.3,<2.0a0'] -> liblapack[version='>=3.8.0,<4.0a0']\n",
      "tensorflow-base -> numpy[version='>=1.20'] -> liblapack[version='>=3.8.0,<4.0a0']\n",
      "pytorch==1.5.0 -> numpy[version='>=1.11.3,<2.0a0'] -> liblapack[version='3.9.0|>=3.8.0,<4.0a0',build=14_linux64_mkl]\n",
      "liblapacke -> liblapack==3.9.0=14_linux64_mkl\n",
      "blas -> liblapack==3.9.0=14_linux64_mkl\n",
      "numpy -> blas=[build=mkl] -> liblapack==3.9.0=14_linux64_mkl\n",
      "mkl-devel -> blas=[build=mkl] -> liblapack==3.9.0=14_linux64_mkl\n",
      "imageio -> numpy -> liblapack[version='>=3.8.0,<4.0a0']\n",
      "imutils==0.5.4 -> numpy -> liblapack[version='>=3.8.0,<4.0a0']\n",
      "numexpr -> numpy[version='>=1.16.6,<2.0a0'] -> liblapack[version='3.9.0|>=3.8.0,<4.0a0',build=14_linux64_mkl]\n",
      "h5py -> numpy[version='>=1.21.2,<2.0a0'] -> liblapack[version='>=3.8.0,<4.0a0']\n",
      "scipy -> liblapack[version='>=3.8.0,<4.0a0']\n",
      "pycocotools==2.0.2 -> numpy[version='>=1.18.5,<2.0a0'] -> liblapack[version='>=3.8.0,<4.0a0']\n",
      "imagecodecs-lite -> numpy[version='>=1.19.5,<2.0a0'] -> liblapack[version='>=3.8.0,<4.0a0']\n",
      "blas-devel -> liblapack==3.9.0=14_linux64_mkl\n",
      "pyproj -> numpy -> liblapack[version='>=3.8.0,<4.0a0']\n",
      "basemap==1.2.0 -> numpy[version='>=1.14.6,<2.0a0'] -> liblapack[version='>=3.8.0,<4.0a0']\n",
      "scipy -> blas=[build=mkl] -> liblapack==3.9.0=14_linux64_mkl\n",
      "pandas -> numpy[version='>=1.21.5,<2.0a0'] -> liblapack[version='>=3.8.0,<4.0a0']\n",
      "seaborn -> numpy[version='>=1.15'] -> liblapack[version='>=3.8.0,<4.0a0']\n",
      "scikit-image==0.17.2 -> numpy[version='>=1.16.6,<2.0a0'] -> liblapack[version='>=3.8.0,<4.0a0']\n",
      "keras-applications -> numpy[version='>=1.9.1'] -> liblapack[version='>=3.8.0,<4.0a0']\n",
      "tensorflow-estimator -> numpy[version='>=1.16.1'] -> liblapack[version='>=3.8.0,<4.0a0']\n",
      "numpy -> liblapack[version='>=3.8.0,<4.0a0']\n",
      "tifffile -> numpy[version='>=1.15.1'] -> liblapack[version='>=3.8.0,<4.0a0']\n",
      "tensorboard -> numpy[version='>=1.12.0'] -> liblapack[version='>=3.8.0,<4.0a0']\n",
      "bottleneck -> numpy[version='>=1.16.6,<2.0a0'] -> liblapack[version='>=3.8.0,<4.0a0']\n",
      "libopencv -> liblapacke[version='>=3.8.0,<4.0.0a0'] -> liblapack==3.9.0=14_linux64_mkl\n",
      "keras-preprocessing -> numpy[version='>=1.9.1'] -> liblapack[version='>=3.8.0,<4.0a0']\n",
      "\n",
      "Package psutil conflicts for:\n",
      "ipykernel -> psutil\n",
      "jupyter-dash==0.4.0 -> ipykernel -> psutil\n",
      "\n",
      "Package blas conflicts for:\n",
      "bottleneck -> numpy[version='>=1.16.6,<2.0a0'] -> blas[version='*|*|1.0|1.0',build='openblas|mkl|openblas|mkl']\n",
      "pytorch==1.5.0 -> blas[version='*|1.0',build=mkl]\n",
      "pycocotools==2.0.2 -> numpy[version='>=1.18.5,<2.0a0'] -> blas[version='*|1.0',build='mkl|openblas']\n",
      "keras-applications -> numpy[version='>=1.9.1'] -> blas[version='*|*|1.0|1.0',build='openblas|mkl|openblas|mkl']\n",
      "numpy -> blas[version='*|*|1.0|1.0',build='openblas|mkl|openblas|mkl']\n",
      "pyproj -> numpy -> blas[version='*|*|1.0|1.0',build='openblas|mkl|openblas|mkl']\n",
      "blas-devel -> mkl-devel=2022.0 -> blas=[build=mkl]\n",
      "imageio -> numpy -> blas[version='*|*|1.0|1.0',build='openblas|mkl|openblas|mkl']\n",
      "imagecodecs-lite -> numpy[version='>=1.19.5,<2.0a0'] -> blas[version='*|1.0',build='mkl|openblas']\n",
      "py-opencv -> opencv==4.5.4 -> blas[version='*|*|1.0|1.0',build='openblas|mkl|openblas|mkl']\n",
      "pywavelets -> numpy[version='>=1.21.2,<2.0a0'] -> blas[version='*|*|1.0|1.0',build='openblas|mkl|openblas|mkl']\n",
      "seaborn -> numpy[version='>=1.15'] -> blas[version='*|*|1.0|1.0',build='openblas|mkl|openblas|mkl']\n",
      "scipy -> blas[version='*|*|1.0|1.0',build='openblas|mkl|openblas|mkl']\n",
      "mkl-devel -> blas=[build=mkl]\n",
      "scikit-image==0.17.2 -> numpy[version='>=1.16.6,<2.0a0'] -> blas[version='*|*|1.0|1.0',build='openblas|mkl|openblas|mkl']\n",
      "pandas -> numexpr[version='>=2.7.1'] -> blas[version='*|*|1.0|1.0',build='openblas|mkl|openblas|mkl']\n",
      "tensorboard -> numpy[version='>=1.12.0'] -> blas[version='*|*|1.0|1.0',build='openblas|mkl|openblas|mkl']\n",
      "tensorflow-base -> numpy[version='>=1.20'] -> blas[version='*|*|1.0|1.0',build='openblas|mkl|openblas|mkl']\n",
      "libopencv -> opencv==4.5.4 -> blas=[build=openblas]\n",
      "networkx -> numpy[version='>=1.19'] -> blas[version='*|1.0',build='mkl|openblas']\n",
      "matplotlib-base -> numpy[version='>=1.19.2,<2.0a0'] -> blas[version='*|*|1.0|1.0',build='openblas|mkl|openblas|mkl']\n",
      "imutils==0.5.4 -> numpy -> blas[version='*|*|1.0|1.0',build='openblas|mkl|openblas|mkl']\n",
      "tifffile -> numpy[version='>=1.15.1'] -> blas[version='*|*|1.0|1.0',build='openblas|mkl|openblas|mkl']\n",
      "pytorch==1.5.0 -> numpy[version='>=1.11.3,<2.0a0'] -> blas[version='*|1.0',build=openblas]\n",
      "tensorflow-estimator -> numpy[version='>=1.16.1'] -> blas[version='*|*|1.0|1.0',build='openblas|mkl|openblas|mkl']\n",
      "numexpr -> blas[version='*|*|1.0|1.0',build='openblas|mkl|openblas|mkl']\n",
      "h5py -> numpy[version='>=1.21.2,<2.0a0'] -> blas[version='*|*|1.0|1.0',build='openblas|mkl|openblas|mkl']\n",
      "keras-preprocessing -> numpy[version='>=1.9.1'] -> blas[version='*|*|1.0|1.0',build='openblas|mkl|openblas|mkl']\n",
      "basemap==1.2.0 -> numpy[version='>=1.14.6,<2.0a0'] -> blas[version='*|*|1.0|1.0',build='openblas|mkl|openblas|mkl']\n",
      "\n",
      "Package pyqt conflicts for:\n",
      "seaborn -> matplotlib[version='>=2.2'] -> pyqt[version='5.*|5.9.*|>=5.6,<6.0a0|>=5.9.2,<5.10.0a0|5.6.*']\n",
      "networkx -> matplotlib[version='>=3.3'] -> pyqt\n",
      "basemap==1.2.0 -> matplotlib[version='>=1.0.0'] -> pyqt[version='5.*|5.9.*|>=5.6,<6.0a0|>=5.9.2,<5.10.0a0|5.6.*']\n",
      "\n",
      "Package bottleneck conflicts for:\n",
      "seaborn -> pandas[version='>=0.23'] -> bottleneck[version='>=1.2.1|>=1.3.1']\n",
      "networkx -> pandas[version='>=1.1'] -> bottleneck[version='>=1.2.1|>=1.3.1']\n",
      "pandas -> bottleneck[version='>=1.2.1|>=1.3.1']\n",
      "\n",
      "Package lz4-c conflicts for:\n",
      "tifffile -> imagecodecs[version='>=2021.4.28'] -> lz4-c[version='>=1.9.2,<1.10.0a0|>=1.9.3,<1.10.0a0']\n",
      "zstd -> lz4-c[version='>=1.9.2,<1.10.0a0|>=1.9.3,<1.10.0a0|>=1.9.3,<1.9.4.0a0']\n",
      "tesseract==4.1.1 -> libarchive[version='>=3.3.3,<3.6.0a0'] -> lz4-c[version='>=1.8.1.2,<1.9.0a0|>=1.9.2,<1.10.0a0|>=1.9.3,<1.9.4.0a0|>=1.9.3,<1.10.0a0']\n",
      "libtiff -> zstd[version='>=1.4.5,<1.4.6.0a0'] -> lz4-c[version='>=1.9.2,<1.10.0a0|>=1.9.3,<1.10.0a0|>=1.9.3,<1.9.4.0a0']\n",
      "mysql-libs -> zstd[version='>=1.4.9,<1.5.0a0'] -> lz4-c[version='>=1.9.3,<1.10.0a0|>=1.9.3,<1.9.4.0a0']\n",
      "libarchive -> lz4-c[version='>=1.8.0,<1.9.0a0|>=1.8.1.2,<1.9.0a0|>=1.9.2,<1.10.0a0|>=1.9.3,<1.9.4.0a0|>=1.9.3,<1.10.0a0']\n",
      "\n",
      "Package nss conflicts for:\n",
      "libopencv -> qt=5.12 -> nss[version='>=3.61,<4.0a0']\n",
      "qt -> nss[version='>=3.61,<4.0a0']\n",
      "\n",
      "Package libwebp-base conflicts for:\n",
      "graphviz==2.40.1 -> libtiff[version='>=4.0.9,<5.0a0'] -> libwebp-base\n",
      "libwebp -> libwebp-base\n",
      "pillow -> libtiff[version='>=4.1.0,<5.0a0'] -> libwebp-base\n",
      "libtiff -> libwebp-base\n",
      "lcms2 -> libtiff[version='>=4.1.0,<5.0a0'] -> libwebp-base\n",
      "leptonica -> libtiff[version='>=4.1.0,<5.0a0'] -> libwebp-base\n",
      "libopencv -> opencv==4.5.4 -> libwebp-base\n",
      "tesseract==4.1.1 -> libtiff[version='>=4.1.0,<5.0a0'] -> libwebp-base\n",
      "imutils==0.5.4 -> opencv -> libwebp-base\n",
      "openjpeg -> libtiff[version='>=4.1.0,<5.0a0'] -> libwebp-base\n",
      "py-opencv -> opencv==4.5.4 -> libwebp-base\n",
      "\n",
      "Package xorg-libice conflicts for:\n",
      "xorg-libsm -> xorg-libice=1.0\n",
      "graphviz==2.40.1 -> cairo[version='>=1.14.12,<2.0a0'] -> xorg-libice\n",
      "cairo -> xorg-libice\n",
      "harfbuzz -> cairo[version='>=1.14.12,<2.0a0'] -> xorg-libice\n",
      "pango -> cairo[version='>=1.14.12,<2.0a0'] -> xorg-libice\n",
      "xorg-libxt -> xorg-libice=1.0\n",
      "xorg-libxpm -> xorg-libxt[version='>=1.2.1,<2.0a0'] -> xorg-libice=1.0\n",
      "cairo -> xorg-libsm -> xorg-libice=1.0\n",
      "\n",
      "Package numpy-base conflicts for:\n",
      "tensorboard -> numpy[version='>=1.12.0'] -> numpy-base[version='1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.17.2.*|1.17.3.*|1.17.4.*|1.18.1.*|1.18.5.*|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.5|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.17.0|1.17.0|1.17.0|1.17.0|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|>=1.9.3,<2.0a0',build='py27h2b20989_6|py37hdbf6ddf_6|py36hdbf6ddf_6|py27hdbf6ddf_7|py27h2b20989_7|py36hdbf6ddf_7|py35h2b20989_7|py37hdbf6ddf_7|py37h2b20989_7|py27h2b20989_7|py27hdbf6ddf_7|py36hdbf6ddf_7|py36h2b20989_8|py37h2b20989_8|py27hdbf6ddf_8|py35h2b20989_8|py36h7cdd4dd_9|py35h7cdd4dd_9|py27h7cdd4dd_9|py37h7cdd4dd_9|py37h3dfced4_9|py37h81de0dd_9|py35h74e8950_9|py37h74e8950_9|py36h74e8950_9|py27h81de0dd_9|py37h74e8950_10|py35h74e8950_10|py27h74e8950_10|py36h74e8950_10|py27h81de0dd_10|py35h81de0dd_10|py37h2f8d375_10|py36h2f8d375_10|py27h2f8d375_10|py27h2f8d375_11|py36h2f8d375_11|py27hde5b4d6_11|py37h2f8d375_12|py27h2f8d375_12|py36h2f8d375_12|py27hde5b4d6_12|py37hde5b4d6_12|py38h2f8d375_12|py36h2f8d375_0|py37hde5b4d6_0|py36hde5b4d6_0|py39hf524024_0|py38hf524024_0|py39hb8be1f0_0|py36h0ea5e3f_1|py36h9be14a7_1|py35h9be14a7_1|py27h2b20989_0|py36h2b20989_0|py35h2b20989_0|py27hdbf6ddf_0|py36hdbf6ddf_0|py27h2b20989_0|py36hdbf6ddf_0|py27hdbf6ddf_0|py27hdbf6ddf_1|py36hdbf6ddf_1|py37hdbf6ddf_1|py27h2b20989_1|py27h2b20989_2|py37h2b20989_2|py27hdbf6ddf_2|py37hdbf6ddf_2|py36h2b20989_3|py37h2b20989_3|py36hdbf6ddf_3|py27hdbf6ddf_4|py37hdbf6ddf_4|py36h2b20989_4|py35hdbf6ddf_4|py35h2f8d375_4|py27h81de0dd_4|py35h81de0dd_4|py36h2f8d375_5|py27h2f8d375_5|py36hde5b4d6_5|py36h7cdd4dd_0|py37h7cdd4dd_0|py35h7cdd4dd_0|py27h3dfced4_0|py36h3dfced4_0|py35h74e8950_0|py27h74e8950_0|py37h74e8950_0|py37h81de0dd_0|py35h2f8d375_0|py36h2f8d375_0|py37h2f8d375_0|py37h81de0dd_0|py35h2f8d375_0|py36h2f8d375_1|py27h81de0dd_1|py37h81de0dd_1|py36h2f8d375_0|py37h81de0dd_0|py37h2f8d375_0|py36h2f8d375_0|py27h2f8d375_0|py37h81de0dd_0|py36hde5b4d6_0|py37hde5b4d6_0|py36hde5b4d6_0|py37h2f8d375_1|py36h2f8d375_1|py27hde5b4d6_1|py36h2f8d375_0|py36hde5b4d6_0|py37h2f8d375_1|py36h2f8d375_1|py27hde5b4d6_1|py36h2f8d375_0|py27h2f8d375_0|py37h2f8d375_0|py37hde5b4d6_0|py36hde5b4d6_0|py36h2f8d375_0|py27h2f8d375_0|py37h2f8d375_0|py36hde5b4d6_0|py37h2f8d375_0|py36hde5b4d6_0|py38h2f8d375_0|py38hde5b4d6_0|py39h76555f2_1|py36h41b4c56_3|py37hdc34a94_3|py37hfa32c7d_0|py38hfa32c7d_0|py36hfa32c7d_0|py36h75fe3a5_0|py37hfa32c7d_0|py36h75fe3a5_0|py36hfa32c7d_0|py39h2ae0177_0|py37h7d8b39e_0|py38h34387ca_0|py38hfae3a4d_0|py37h74d4b33_0|py39h74d4b33_0|py38h74d4b33_0|py38h39b7dee_0|py37h39b7dee_0|py37h2b8c604_0|py37h79a1101_0|py310h2b8c604_0|py310h79a1101_0|py39hb8be1f0_1|py310h9585f30_1|py37hb8be1f0_2|py38hb8be1f0_2|py310h9585f30_2|py39hf524024_2|py38hf524024_2|py37hf524024_2|py39hb8be1f0_2|py310hf2716ce_2|py310hf2716ce_1|py37hf524024_1|py38hf524024_1|py37hb8be1f0_1|py38hb8be1f0_1|py39hf524024_1|py38h2b8c604_0|py39h2b8c604_0|py39h79a1101_0|py38h79a1101_0|py39h39b7dee_0|py39hfae3a4d_0|py37he2ba247_0|py37hfae3a4d_0|py39he2ba247_0|py38he2ba247_0|py39h7d8b39e_0|py38h7d8b39e_0|py39h34387ca_0|py37h34387ca_0|py39h0f7b65f_0|py38hfa32c7d_0|py37h75fe3a5_0|py38h75fe3a5_0|py37h75fe3a5_0|py38h75fe3a5_0|py39hdc34a94_3|py38hdc34a94_3|py36hdc34a94_3|py37h41b4c56_3|py38h41b4c56_3|py39h41b4c56_3|py39hfb011de_1|py27hde5b4d6_0|py27h2f8d375_0|py37hde5b4d6_0|py36h2f8d375_0|py37hde5b4d6_0|py27hde5b4d6_0|py36h2f8d375_0|py36hde5b4d6_0|py27hde5b4d6_0|py37hde5b4d6_0|py37h2f8d375_0|py27h2f8d375_0|py27hde5b4d6_0|py36h2f8d375_0|py27h2f8d375_0|py36hde5b4d6_0|py27hde5b4d6_0|py37hde5b4d6_0|py37h2f8d375_0|py36hde5b4d6_1|py37hde5b4d6_1|py27h2f8d375_1|py27hde5b4d6_0|py37hde5b4d6_0|py27h2f8d375_0|py37h2f8d375_0|py36hde5b4d6_1|py37hde5b4d6_1|py27h2f8d375_1|py27hde5b4d6_0|py36h2f8d375_0|py37h2f8d375_0|py27h2f8d375_0|py37hde5b4d6_0|py27hde5b4d6_0|py27h81de0dd_0|py36h81de0dd_0|py36h81de0dd_0|py27h81de0dd_0|py37h2f8d375_0|py27h2f8d375_0|py37h2f8d375_1|py36h81de0dd_1|py27h2f8d375_1|py36h81de0dd_0|py36h2f8d375_0|py35h81de0dd_0|py27h81de0dd_0|py27h2f8d375_0|py37h2f8d375_0|py27h2f8d375_0|py35h81de0dd_0|py27h81de0dd_0|py36h81de0dd_0|py36h74e8950_0|py37h3dfced4_0|py35h3dfced4_0|py27h7cdd4dd_0|py37hde5b4d6_5|py27hde5b4d6_5|py37h2f8d375_5|py38hde5b4d6_4|py38h2f8d375_4|py36h81de0dd_4|py37h81de0dd_4|py27h2f8d375_4|py36h2f8d375_4|py37h2f8d375_4|py35h2b20989_4|py36hdbf6ddf_4|py37h2b20989_4|py27h2b20989_4|py27hdbf6ddf_3|py27h2b20989_3|py37hdbf6ddf_3|py36hdbf6ddf_2|py36h2b20989_2|py37h2b20989_1|py36h2b20989_1|py35hdbf6ddf_0|py36h2b20989_0|py35hdbf6ddf_0|py27h9be14a7_1|py35h0ea5e3f_1|py27h0ea5e3f_1|py38hb8be1f0_0|py310hf2716ce_0|py310h9585f30_0|py37h2f8d375_0|py38hde5b4d6_12|py36hde5b4d6_12|py37hde5b4d6_11|py36hde5b4d6_11|py37h2f8d375_11|py35h2f8d375_10|py36h81de0dd_10|py37h81de0dd_10|py35h81de0dd_9|py27h74e8950_9|py36h81de0dd_9|py27h3dfced4_9|py35h3dfced4_9|py36h3dfced4_9|py35hdbf6ddf_8|py27h2b20989_8|py37hdbf6ddf_8|py36hdbf6ddf_8|py37hdbf6ddf_7|py36h2b20989_7|py37h2b20989_7|py35hdbf6ddf_7|py36h2b20989_7|py27hdbf6ddf_6|py37h2b20989_6|py36h2b20989_6']\n",
      "imagecodecs-lite -> numpy[version='>=1.19.5,<2.0a0'] -> numpy-base[version='1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.5|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3',build='py39hf524024_0|py38hf524024_0|py310hf2716ce_0|py37h7d8b39e_0|py38h34387ca_0|py38hfae3a4d_0|py37h74d4b33_0|py39h74d4b33_0|py38h74d4b33_0|py38h39b7dee_0|py37h39b7dee_0|py37h2b8c604_0|py37h79a1101_0|py310h2b8c604_0|py310h79a1101_0|py39hb8be1f0_1|py310h9585f30_1|py37hb8be1f0_2|py38hb8be1f0_2|py310h9585f30_2|py39hf524024_2|py38hf524024_2|py37hf524024_2|py39hb8be1f0_2|py310hf2716ce_2|py310hf2716ce_1|py37hf524024_1|py38hf524024_1|py37hb8be1f0_1|py38hb8be1f0_1|py39hf524024_1|py38h2b8c604_0|py39h2b8c604_0|py39h79a1101_0|py38h79a1101_0|py39h39b7dee_0|py39hfae3a4d_0|py37he2ba247_0|py37hfae3a4d_0|py39he2ba247_0|py38he2ba247_0|py39h7d8b39e_0|py38h7d8b39e_0|py39h34387ca_0|py37h34387ca_0|py38hb8be1f0_0|py39hb8be1f0_0|py310h9585f30_0']\n",
      "keras-applications -> numpy[version='>=1.9.1'] -> numpy-base[version='1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.17.2.*|1.17.3.*|1.17.4.*|1.18.1.*|1.18.5.*|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.5|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|>=1.9.3,<2.0a0|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.17.0|1.17.0|1.17.0|1.17.0',build='py36h2f8d375_0|py36hde5b4d6_0|py39hf524024_0|py38hf524024_0|py39hb8be1f0_0|py27h2b20989_6|py37hdbf6ddf_6|py27hdbf6ddf_6|py36hdbf6ddf_6|py27hdbf6ddf_7|py27h2b20989_7|py35h2b20989_7|py27h2b20989_7|py27hdbf6ddf_7|py36hdbf6ddf_7|py37hdbf6ddf_7|py37h2b20989_8|py35h2b20989_8|py35h7cdd4dd_9|py27h7cdd4dd_9|py37h7cdd4dd_9|py36h3dfced4_9|py36h81de0dd_9|py37h81de0dd_9|py27h74e8950_9|py37h74e8950_9|py36h74e8950_9|py37h74e8950_10|py35h74e8950_10|py27h74e8950_10|py27h81de0dd_10|py37h2f8d375_10|py36h2f8d375_10|py27h2f8d375_10|py37h2f8d375_11|py36h2f8d375_11|py37h2f8d375_12|py27h2f8d375_12|py27hde5b4d6_12|py37hde5b4d6_12|py38h2f8d375_12|py36h0ea5e3f_1|py36h9be14a7_1|py35h9be14a7_1|py27h2b20989_0|py36h2b20989_0|py35h2b20989_0|py27hdbf6ddf_0|py36hdbf6ddf_0|py27h2b20989_0|py36hdbf6ddf_0|py27hdbf6ddf_0|py27hdbf6ddf_1|py36hdbf6ddf_1|py37hdbf6ddf_1|py27h2b20989_1|py27h2b20989_2|py37h2b20989_2|py27hdbf6ddf_2|py37hdbf6ddf_2|py36h2b20989_3|py37h2b20989_3|py36hdbf6ddf_3|py27hdbf6ddf_4|py37hdbf6ddf_4|py36h2b20989_4|py35hdbf6ddf_4|py35h2f8d375_4|py27h81de0dd_4|py35h81de0dd_4|py36h2f8d375_5|py27h2f8d375_5|py36hde5b4d6_5|py36h7cdd4dd_0|py37h7cdd4dd_0|py35h7cdd4dd_0|py27h3dfced4_0|py36h3dfced4_0|py35h74e8950_0|py27h74e8950_0|py37h74e8950_0|py37h81de0dd_0|py35h2f8d375_0|py36h2f8d375_0|py37h2f8d375_0|py37h81de0dd_0|py35h2f8d375_0|py36h2f8d375_1|py27h81de0dd_1|py37h81de0dd_1|py36h2f8d375_0|py37h81de0dd_0|py37h2f8d375_0|py36h2f8d375_0|py27h2f8d375_0|py37h81de0dd_0|py36hde5b4d6_0|py37hde5b4d6_0|py36hde5b4d6_0|py37h2f8d375_1|py36h2f8d375_1|py27hde5b4d6_1|py36h2f8d375_0|py36hde5b4d6_0|py37h2f8d375_1|py36h2f8d375_1|py27hde5b4d6_1|py36h2f8d375_0|py27h2f8d375_0|py37h2f8d375_0|py37hde5b4d6_0|py36hde5b4d6_0|py36h2f8d375_0|py27h2f8d375_0|py37h2f8d375_0|py36hde5b4d6_0|py37h2f8d375_0|py36hde5b4d6_0|py38h2f8d375_0|py38hde5b4d6_0|py39h76555f2_1|py36h41b4c56_3|py37hdc34a94_3|py37hfa32c7d_0|py38hfa32c7d_0|py36hfa32c7d_0|py36h75fe3a5_0|py37hfa32c7d_0|py36h75fe3a5_0|py36hfa32c7d_0|py39h2ae0177_0|py37h7d8b39e_0|py38h34387ca_0|py38hfae3a4d_0|py37h74d4b33_0|py39h74d4b33_0|py38h74d4b33_0|py38h39b7dee_0|py37h39b7dee_0|py37h2b8c604_0|py37h79a1101_0|py310h2b8c604_0|py310h79a1101_0|py39hb8be1f0_1|py310h9585f30_1|py37hb8be1f0_2|py38hb8be1f0_2|py310h9585f30_2|py39hf524024_2|py38hf524024_2|py37hf524024_2|py39hb8be1f0_2|py310hf2716ce_2|py310hf2716ce_1|py37hf524024_1|py38hf524024_1|py37hb8be1f0_1|py38hb8be1f0_1|py39hf524024_1|py38h2b8c604_0|py39h2b8c604_0|py39h79a1101_0|py38h79a1101_0|py39h39b7dee_0|py39hfae3a4d_0|py37he2ba247_0|py37hfae3a4d_0|py39he2ba247_0|py38he2ba247_0|py39h7d8b39e_0|py38h7d8b39e_0|py39h34387ca_0|py37h34387ca_0|py39h0f7b65f_0|py38hfa32c7d_0|py37h75fe3a5_0|py38h75fe3a5_0|py37h75fe3a5_0|py38h75fe3a5_0|py39hdc34a94_3|py38hdc34a94_3|py36hdc34a94_3|py37h41b4c56_3|py38h41b4c56_3|py39h41b4c56_3|py39hfb011de_1|py27hde5b4d6_0|py27h2f8d375_0|py37hde5b4d6_0|py36h2f8d375_0|py37hde5b4d6_0|py27hde5b4d6_0|py36h2f8d375_0|py36hde5b4d6_0|py27hde5b4d6_0|py37hde5b4d6_0|py37h2f8d375_0|py27h2f8d375_0|py27hde5b4d6_0|py36h2f8d375_0|py27h2f8d375_0|py36hde5b4d6_0|py27hde5b4d6_0|py37hde5b4d6_0|py37h2f8d375_0|py36hde5b4d6_1|py37hde5b4d6_1|py27h2f8d375_1|py27hde5b4d6_0|py37hde5b4d6_0|py27h2f8d375_0|py37h2f8d375_0|py36hde5b4d6_1|py37hde5b4d6_1|py27h2f8d375_1|py27hde5b4d6_0|py36h2f8d375_0|py37h2f8d375_0|py27h2f8d375_0|py37hde5b4d6_0|py27hde5b4d6_0|py27h81de0dd_0|py36h81de0dd_0|py36h81de0dd_0|py27h81de0dd_0|py37h2f8d375_0|py27h2f8d375_0|py37h2f8d375_1|py36h81de0dd_1|py27h2f8d375_1|py36h81de0dd_0|py36h2f8d375_0|py35h81de0dd_0|py27h81de0dd_0|py27h2f8d375_0|py37h2f8d375_0|py27h2f8d375_0|py35h81de0dd_0|py27h81de0dd_0|py36h81de0dd_0|py36h74e8950_0|py37h3dfced4_0|py35h3dfced4_0|py27h7cdd4dd_0|py37hde5b4d6_5|py27hde5b4d6_5|py37h2f8d375_5|py38hde5b4d6_4|py38h2f8d375_4|py36h81de0dd_4|py37h81de0dd_4|py27h2f8d375_4|py36h2f8d375_4|py37h2f8d375_4|py35h2b20989_4|py36hdbf6ddf_4|py37h2b20989_4|py27h2b20989_4|py27hdbf6ddf_3|py27h2b20989_3|py37hdbf6ddf_3|py36hdbf6ddf_2|py36h2b20989_2|py37h2b20989_1|py36h2b20989_1|py35hdbf6ddf_0|py36h2b20989_0|py35hdbf6ddf_0|py27h9be14a7_1|py35h0ea5e3f_1|py27h0ea5e3f_1|py38hde5b4d6_12|py36hde5b4d6_12|py36h2f8d375_12|py27hde5b4d6_11|py37hde5b4d6_11|py36hde5b4d6_11|py27h2f8d375_11|py35h2f8d375_10|py35h81de0dd_10|py36h81de0dd_10|py37h81de0dd_10|py36h74e8950_10|py35h81de0dd_9|py27h81de0dd_9|py35h74e8950_9|py27h3dfced4_9|py35h3dfced4_9|py37h3dfced4_9|py36h7cdd4dd_9|py35hdbf6ddf_8|py27hdbf6ddf_8|py27h2b20989_8|py37hdbf6ddf_8|py36h2b20989_8|py36hdbf6ddf_8|py36h2b20989_7|py37h2b20989_7|py37h2b20989_7|py37hdbf6ddf_7|py35hdbf6ddf_7|py36h2b20989_7|py36hdbf6ddf_7|py37h2b20989_6|py36h2b20989_6|py38hb8be1f0_0|py310hf2716ce_0|py310h9585f30_0|py37hde5b4d6_0|py37h2f8d375_0']\n",
      "h5py -> numpy[version='>=1.21.2,<2.0a0'] -> numpy-base[version='1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.17.2.*|1.17.3.*|1.17.4.*|1.18.1.*|1.18.5.*|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.5|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.17.0|1.17.0|1.17.0|1.17.0|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|>=1.9.3,<2.0a0',build='py27h2b20989_6|py37hdbf6ddf_6|py27hdbf6ddf_7|py27h2b20989_7|py35h2b20989_7|py37h2b20989_7|py27h2b20989_7|py27hdbf6ddf_7|py37hdbf6ddf_8|py37h2b20989_8|py27hdbf6ddf_8|py35h2b20989_8|py36h7cdd4dd_9|py35h7cdd4dd_9|py27h7cdd4dd_9|py36h3dfced4_9|py37h81de0dd_9|py27h74e8950_9|py35h74e8950_9|py36h74e8950_9|py35h81de0dd_9|py37h74e8950_10|py35h74e8950_10|py27h74e8950_10|py27h81de0dd_10|py37h2f8d375_10|py36h2f8d375_10|py27h2f8d375_10|py35h2f8d375_10|py36h2f8d375_11|py37h2f8d375_12|py36h2f8d375_12|py27hde5b4d6_12|py38h2f8d375_12|py36h0ea5e3f_1|py36h9be14a7_1|py27h2b20989_0|py36h2b20989_0|py27hdbf6ddf_0|py36hdbf6ddf_0|py36h2b20989_0|py27h2b20989_0|py36hdbf6ddf_0|py27hdbf6ddf_0|py36h2b20989_1|py37h2b20989_1|py27hdbf6ddf_1|py37hdbf6ddf_1|py27h2b20989_1|py27h2b20989_2|py37h2b20989_2|py27hdbf6ddf_2|py37hdbf6ddf_2|py36hdbf6ddf_2|py36h2b20989_3|py37h2b20989_3|py37hdbf6ddf_3|py36hdbf6ddf_3|py27h2b20989_4|py27hdbf6ddf_4|py37hdbf6ddf_4|py36h2b20989_4|py35hdbf6ddf_4|py35h2f8d375_4|py27h81de0dd_4|py37h81de0dd_4|py36h81de0dd_4|py38h2f8d375_4|py37h2f8d375_5|py27h2f8d375_5|py27hde5b4d6_5|py36hde5b4d6_5|py27h7cdd4dd_0|py35h7cdd4dd_0|py27h3dfced4_0|py36h3dfced4_0|py35h3dfced4_0|py37h81de0dd_0|py35h2f8d375_0|py27h2f8d375_0|py36h2f8d375_0|py37h2f8d375_0|py27h2f8d375_0|py37h81de0dd_0|py35h2f8d375_0|py36h2f8d375_1|py27h81de0dd_1|py37h2f8d375_1|py36h2f8d375_0|py37h81de0dd_0|py37h2f8d375_0|py36h2f8d375_0|py27h2f8d375_0|py37h81de0dd_0|py37h2f8d375_0|py37hde5b4d6_0|py36h2f8d375_0|py36hde5b4d6_0|py36h2f8d375_1|py27hde5b4d6_1|py36hde5b4d6_0|py36h2f8d375_1|py27hde5b4d6_1|py36h2f8d375_0|py36hde5b4d6_0|py27h2f8d375_0|py36h2f8d375_0|py36hde5b4d6_0|py27h2f8d375_0|py36h2f8d375_0|py37hde5b4d6_0|py36hde5b4d6_0|py36h2f8d375_0|py27h2f8d375_0|py37h2f8d375_0|py36hde5b4d6_0|py36h2f8d375_0|py36hde5b4d6_0|py36h2f8d375_0|py37hde5b4d6_0|py36hde5b4d6_0|py38h2f8d375_0|py39h76555f2_1|py36h41b4c56_3|py36hdc34a94_3|py38hdc34a94_3|py37hdc34a94_3|py37hfa32c7d_0|py38hfa32c7d_0|py36hfa32c7d_0|py36h75fe3a5_0|py37hfa32c7d_0|py36h75fe3a5_0|py39h2ae0177_0|py37h34387ca_0|py37h7d8b39e_0|py39h34387ca_0|py38h34387ca_0|py38h7d8b39e_0|py38hfae3a4d_0|py37he2ba247_0|py39h74d4b33_0|py38h74d4b33_0|py37h39b7dee_0|py39hf524024_0|py38hf524024_0|py310hf2716ce_0|py37h2b8c604_0|py37h79a1101_0|py310h2b8c604_0|py310h79a1101_0|py39hb8be1f0_1|py310h9585f30_1|py37hb8be1f0_2|py38hb8be1f0_2|py310h9585f30_2|py39hf524024_2|py38hf524024_2|py37hf524024_2|py39hb8be1f0_2|py310hf2716ce_2|py310hf2716ce_1|py37hf524024_1|py38hf524024_1|py37hb8be1f0_1|py38hb8be1f0_1|py39hf524024_1|py38h2b8c604_0|py39h2b8c604_0|py39h79a1101_0|py38h79a1101_0|py38hb8be1f0_0|py39hb8be1f0_0|py310h9585f30_0|py39h39b7dee_0|py38h39b7dee_0|py37h74d4b33_0|py39hfae3a4d_0|py37hfae3a4d_0|py39he2ba247_0|py38he2ba247_0|py39h7d8b39e_0|py39h0f7b65f_0|py38hfa32c7d_0|py36hfa32c7d_0|py37h75fe3a5_0|py38h75fe3a5_0|py37h75fe3a5_0|py38h75fe3a5_0|py39hdc34a94_3|py37h41b4c56_3|py38h41b4c56_3|py39h41b4c56_3|py39hfb011de_1|py27hde5b4d6_0|py27h2f8d375_0|py38hde5b4d6_0|py37h2f8d375_0|py37hde5b4d6_0|py37h2f8d375_0|py37hde5b4d6_0|py27hde5b4d6_0|py27hde5b4d6_0|py37h2f8d375_0|py27hde5b4d6_0|py37hde5b4d6_0|py37h2f8d375_0|py27hde5b4d6_0|py37hde5b4d6_0|py27h2f8d375_0|py37h2f8d375_0|py36hde5b4d6_1|py37hde5b4d6_1|py37h2f8d375_1|py27h2f8d375_1|py27hde5b4d6_0|py37hde5b4d6_0|py36h2f8d375_0|py27h2f8d375_0|py37h2f8d375_0|py36hde5b4d6_1|py37hde5b4d6_1|py27h2f8d375_1|py37h2f8d375_1|py27hde5b4d6_0|py27h2f8d375_0|py37hde5b4d6_0|py36hde5b4d6_0|py27hde5b4d6_0|py27h81de0dd_0|py36h81de0dd_0|py36h81de0dd_0|py27h81de0dd_0|py37h2f8d375_0|py27h2f8d375_0|py37h81de0dd_1|py36h81de0dd_1|py27h2f8d375_1|py36h81de0dd_0|py36h2f8d375_0|py35h81de0dd_0|py27h81de0dd_0|py37h2f8d375_0|py35h81de0dd_0|py27h81de0dd_0|py36h81de0dd_0|py37h74e8950_0|py36h74e8950_0|py27h74e8950_0|py35h74e8950_0|py37h3dfced4_0|py37h7cdd4dd_0|py36h7cdd4dd_0|py37hde5b4d6_5|py36h2f8d375_5|py38hde5b4d6_4|py35h81de0dd_4|py27h2f8d375_4|py36h2f8d375_4|py37h2f8d375_4|py35h2b20989_4|py36hdbf6ddf_4|py37h2b20989_4|py27hdbf6ddf_3|py27h2b20989_3|py36h2b20989_2|py36hdbf6ddf_1|py35hdbf6ddf_0|py35hdbf6ddf_0|py35h2b20989_0|py35h9be14a7_1|py27h9be14a7_1|py35h0ea5e3f_1|py27h0ea5e3f_1|py38hde5b4d6_12|py36hde5b4d6_12|py37hde5b4d6_12|py27h2f8d375_12|py27hde5b4d6_11|py37hde5b4d6_11|py36hde5b4d6_11|py27h2f8d375_11|py37h2f8d375_11|py35h81de0dd_10|py36h81de0dd_10|py37h81de0dd_10|py36h74e8950_10|py27h81de0dd_9|py37h74e8950_9|py36h81de0dd_9|py27h3dfced4_9|py35h3dfced4_9|py37h3dfced4_9|py37h7cdd4dd_9|py35hdbf6ddf_8|py27h2b20989_8|py36h2b20989_8|py36hdbf6ddf_8|py37hdbf6ddf_7|py36hdbf6ddf_7|py36h2b20989_7|py37h2b20989_7|py37hdbf6ddf_7|py35hdbf6ddf_7|py36h2b20989_7|py36hdbf6ddf_7|py36hdbf6ddf_6|py27hdbf6ddf_6|py37h2b20989_6|py36h2b20989_6']\n",
      "py-opencv -> numpy[version='>=1.11.3,<2.0a0'] -> numpy-base[version='1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.17.2.*|1.17.3.*|1.17.4.*|1.18.1.*|1.18.5.*|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.5|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.17.0|1.17.0|1.17.0|1.17.0|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|>=1.9.3,<2.0a0',build='py27h2b20989_6|py37hdbf6ddf_6|py36hdbf6ddf_6|py27hdbf6ddf_7|py27h2b20989_7|py35h2b20989_7|py36h2f8d375_0|py37h2f8d375_0|py36hde5b4d6_0|py310h9585f30_0|py38hf524024_0|py310hf2716ce_0|py27h2b20989_7|py27hdbf6ddf_7|py36hdbf6ddf_7|py37hdbf6ddf_7|py37h2b20989_8|py35h2b20989_8|py35h7cdd4dd_9|py27h7cdd4dd_9|py37h7cdd4dd_9|py36h3dfced4_9|py36h81de0dd_9|py37h81de0dd_9|py27h74e8950_9|py37h74e8950_9|py36h74e8950_9|py37h74e8950_10|py35h74e8950_10|py27h74e8950_10|py27h81de0dd_10|py37h2f8d375_10|py36h2f8d375_10|py27h2f8d375_10|py37h2f8d375_11|py36h2f8d375_11|py37h2f8d375_12|py27h2f8d375_12|py27hde5b4d6_12|py37hde5b4d6_12|py38h2f8d375_12|py36h0ea5e3f_1|py36h9be14a7_1|py35h9be14a7_1|py27h2b20989_0|py36h2b20989_0|py35h2b20989_0|py27hdbf6ddf_0|py36hdbf6ddf_0|py27h2b20989_0|py36hdbf6ddf_0|py27hdbf6ddf_0|py27hdbf6ddf_1|py36hdbf6ddf_1|py37hdbf6ddf_1|py27h2b20989_1|py27h2b20989_2|py37h2b20989_2|py27hdbf6ddf_2|py37hdbf6ddf_2|py36h2b20989_3|py37h2b20989_3|py36hdbf6ddf_3|py27hdbf6ddf_4|py37hdbf6ddf_4|py36h2b20989_4|py35hdbf6ddf_4|py35h2f8d375_4|py27h81de0dd_4|py35h81de0dd_4|py36h2f8d375_5|py27h2f8d375_5|py36hde5b4d6_5|py36h7cdd4dd_0|py37h7cdd4dd_0|py35h7cdd4dd_0|py27h3dfced4_0|py36h3dfced4_0|py35h74e8950_0|py27h74e8950_0|py37h74e8950_0|py37h81de0dd_0|py35h2f8d375_0|py36h2f8d375_0|py37h2f8d375_0|py37h81de0dd_0|py35h2f8d375_0|py36h2f8d375_1|py27h81de0dd_1|py37h81de0dd_1|py36h2f8d375_0|py37h81de0dd_0|py37h2f8d375_0|py36h2f8d375_0|py27h2f8d375_0|py37h81de0dd_0|py36hde5b4d6_0|py37hde5b4d6_0|py36hde5b4d6_0|py37h2f8d375_1|py36h2f8d375_1|py27hde5b4d6_1|py36h2f8d375_0|py36hde5b4d6_0|py37h2f8d375_1|py36h2f8d375_1|py27hde5b4d6_1|py36h2f8d375_0|py27h2f8d375_0|py37h2f8d375_0|py37hde5b4d6_0|py36hde5b4d6_0|py36h2f8d375_0|py27h2f8d375_0|py37h2f8d375_0|py36hde5b4d6_0|py37h2f8d375_0|py36hde5b4d6_0|py38h2f8d375_0|py38hde5b4d6_0|py39h76555f2_1|py36h41b4c56_3|py37hdc34a94_3|py37hfa32c7d_0|py38hfa32c7d_0|py36hfa32c7d_0|py36h75fe3a5_0|py37hfa32c7d_0|py36h75fe3a5_0|py36hfa32c7d_0|py39h2ae0177_0|py37h7d8b39e_0|py38h34387ca_0|py38hfae3a4d_0|py37h74d4b33_0|py39h74d4b33_0|py38h74d4b33_0|py38h39b7dee_0|py37h39b7dee_0|py37h2b8c604_0|py37h79a1101_0|py310h2b8c604_0|py310h79a1101_0|py39hb8be1f0_1|py310h9585f30_1|py37hb8be1f0_2|py38hb8be1f0_2|py310h9585f30_2|py39hf524024_2|py38hf524024_2|py37hf524024_2|py39hb8be1f0_2|py310hf2716ce_2|py310hf2716ce_1|py37hf524024_1|py38hf524024_1|py37hb8be1f0_1|py38hb8be1f0_1|py39hf524024_1|py38h2b8c604_0|py39h2b8c604_0|py39h79a1101_0|py38h79a1101_0|py39h39b7dee_0|py39hfae3a4d_0|py37he2ba247_0|py37hfae3a4d_0|py39he2ba247_0|py38he2ba247_0|py39h7d8b39e_0|py38h7d8b39e_0|py39h34387ca_0|py37h34387ca_0|py39h0f7b65f_0|py38hfa32c7d_0|py37h75fe3a5_0|py38h75fe3a5_0|py37h75fe3a5_0|py38h75fe3a5_0|py39hdc34a94_3|py38hdc34a94_3|py36hdc34a94_3|py37h41b4c56_3|py38h41b4c56_3|py39h41b4c56_3|py39hfb011de_1|py27hde5b4d6_0|py27h2f8d375_0|py37hde5b4d6_0|py36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      "pytorch==1.5.0 -> numpy[version='>=1.11.3,<2.0a0'] -> 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      "scikit-image==0.17.2 -> numpy[version='>=1.16.6,<2.0a0'] -> numpy-base[version='1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.17.2.*|1.17.3.*|1.17.4.*|1.18.1.*|1.18.5.*|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.5|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.17.0|1.17.0|1.17.0|1.17.0',build='py36h2f8d375_0|py36hde5b4d6_0|py36h2f8d375_0|py37h2f8d375_0|py36hde5b4d6_0|py39hf524024_0|py310h9585f30_0|py38hf524024_0|py37h2f8d375_0|py36hde5b4d6_0|py38h2f8d375_0|py38hde5b4d6_0|py39h76555f2_1|py36h41b4c56_3|py37hdc34a94_3|py37hfa32c7d_0|py38hfa32c7d_0|py36hfa32c7d_0|py36h75fe3a5_0|py37hfa32c7d_0|py36h75fe3a5_0|py36hfa32c7d_0|py39h2ae0177_0|py37h7d8b39e_0|py38h34387ca_0|py38hfae3a4d_0|py37h74d4b33_0|py39h74d4b33_0|py38h74d4b33_0|py38h39b7dee_0|py37h39b7dee_0|py37h2b8c604_0|py37h79a1101_0|py310h2b8c604_0|py310h79a1101_0|py39hb8be1f0_1|py310h9585f30_1|py37hb8be1f0_2|py38hb8be1f0_2|py310h9585f30_2|py39hf524024_2|py38hf524024_2|py37hf524024_2|py39hb8be1f0_2|py310hf2716ce_2|py310hf2716ce_1|py37hf524024_1|py38hf524024_1|py37hb8be1f0_1|py38hb8be1f0_1|py39hf524024_1|py38h2b8c604_0|py39h2b8c604_0|py39h79a1101_0|py38h79a1101_0|py39h39b7dee_0|py39hfae3a4d_0|py37he2ba247_0|py37hfae3a4d_0|py39he2ba247_0|py38he2ba247_0|py39h7d8b39e_0|py38h7d8b39e_0|py39h34387ca_0|py37h34387ca_0|py39h0f7b65f_0|py38hfa32c7d_0|py37h75fe3a5_0|py38h75fe3a5_0|py37h75fe3a5_0|py38h75fe3a5_0|py39hdc34a94_3|py38hdc34a94_3|py36hdc34a94_3|py37h41b4c56_3|py38h41b4c56_3|py39h41b4c56_3|py39hfb011de_1|py27hde5b4d6_0|py27h2f8d375_0|py37hde5b4d6_0|py36h2f8d375_0|py38hb8be1f0_0|py310hf2716ce_0|py39hb8be1f0_0|py37hde5b4d6_0|py37hde5b4d6_0|py27hde5b4d6_0|py37h2f8d375_0|py27h2f8d375_0']\n",
      "basemap==1.2.0 -> numpy[version='>=1.14.6,<2.0a0'] -> 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      "imutils==0.5.4 -> numpy -> numpy-base[version='1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.17.2.*|1.17.3.*|1.17.4.*|1.18.1.*|1.18.5.*|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.5|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|>=1.9.3,<2.0a0|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.17.0|1.17.0|1.17.0|1.17.0',build='py36h2f8d375_0|py36hde5b4d6_0|py39hf524024_0|py38hf524024_0|py39hb8be1f0_0|py27h2b20989_6|py37hdbf6ddf_6|py27hdbf6ddf_6|py36hdbf6ddf_6|py27hdbf6ddf_7|py27h2b20989_7|py35h2b20989_7|py27h2b20989_7|py27hdbf6ddf_7|py36hdbf6ddf_7|py37hdbf6ddf_7|py37h2b20989_8|py35h2b20989_8|py35h7cdd4dd_9|py27h7cdd4dd_9|py37h7cdd4dd_9|py36h3dfced4_9|py36h81de0dd_9|py37h81de0dd_9|py27h74e8950_9|py37h74e8950_9|py36h74e8950_9|py37h74e8950_10|py35h74e8950_10|py27h74e8950_10|py27h81de0dd_10|py37h2f8d375_10|py36h2f8d375_10|py27h2f8d375_10|py37h2f8d375_11|py36h2f8d375_11|py37h2f8d375_12|py27h2f8d375_12|py27hde5b4d6_12|py37hde5b4d6_12|py38h2f8d375_12|py36h0ea5e3f_1|py36h9be14a7_1|py35h9be14a7_1|py27h2b20989_0|py36h2b20989_0|py35h2b20989_0|py27hdbf6ddf_0|py36hdbf6ddf_0|py27h2b20989_0|py36hdbf6ddf_0|py27hdbf6ddf_0|py27hdbf6ddf_1|py36hdbf6ddf_1|py37hdbf6ddf_1|py27h2b20989_1|py27h2b20989_2|py37h2b20989_2|py27hdbf6ddf_2|py37hdbf6ddf_2|py36h2b20989_3|py37h2b20989_3|py36hdbf6ddf_3|py27hdbf6ddf_4|py37hdbf6ddf_4|py36h2b20989_4|py35hdbf6ddf_4|py35h2f8d375_4|py27h81de0dd_4|py35h81de0dd_4|py36h2f8d375_5|py27h2f8d375_5|py36hde5b4d6_5|py36h7cdd4dd_0|py37h7cdd4dd_0|py35h7cdd4dd_0|py27h3dfced4_0|py36h3dfced4_0|py35h74e8950_0|py27h74e8950_0|py37h74e8950_0|py37h81de0dd_0|py35h2f8d375_0|py36h2f8d375_0|py37h2f8d375_0|py37h81de0dd_0|py35h2f8d375_0|py36h2f8d375_1|py27h81de0dd_1|py37h81de0dd_1|py36h2f8d375_0|py37h81de0dd_0|py37h2f8d375_0|py36h2f8d375_0|py27h2f8d375_0|py37h81de0dd_0|py36hde5b4d6_0|py37hde5b4d6_0|py36hde5b4d6_0|py37h2f8d375_1|py36h2f8d375_1|py27hde5b4d6_1|py36h2f8d375_0|py36hde5b4d6_0|py37h2f8d375_1|py36h2f8d375_1|py27hde5b4d6_1|py36h2f8d375_0|py27h2f8d375_0|py37h2f8d375_0|py37hde5b4d6_0|py36hde5b4d6_0|py36h2f8d375_0|py27h2f8d375_0|py37h2f8d375_0|py36hde5b4d6_0|py37h2f8d375_0|py36hde5b4d6_0|py38h2f8d375_0|py38hde5b4d6_0|py39h76555f2_1|py36h41b4c56_3|py37hdc34a94_3|py37hfa32c7d_0|py38hfa32c7d_0|py36hfa32c7d_0|py36h75fe3a5_0|py37hfa32c7d_0|py36h75fe3a5_0|py36hfa32c7d_0|py39h2ae0177_0|py37h7d8b39e_0|py38h34387ca_0|py38hfae3a4d_0|py37h74d4b33_0|py39h74d4b33_0|py38h74d4b33_0|py38h39b7dee_0|py37h39b7dee_0|py37h2b8c604_0|py37h79a1101_0|py310h2b8c604_0|py310h79a1101_0|py39hb8be1f0_1|py310h9585f30_1|py37hb8be1f0_2|py38hb8be1f0_2|py310h9585f30_2|py39hf524024_2|py38hf524024_2|py37hf524024_2|py39hb8be1f0_2|py310hf2716ce_2|py310hf2716ce_1|py37hf524024_1|py38hf524024_1|py37hb8be1f0_1|py38hb8be1f0_1|py39hf524024_1|py38h2b8c604_0|py39h2b8c604_0|py39h79a1101_0|py38h79a1101_0|py39h39b7dee_0|py39hfae3a4d_0|py37he2ba247_0|py37hfae3a4d_0|py39he2ba247_0|py38he2ba247_0|py39h7d8b39e_0|py38h7d8b39e_0|py39h34387ca_0|py37h34387ca_0|py39h0f7b65f_0|py38hfa32c7d_0|py37h75fe3a5_0|py38h75fe3a5_0|py37h75fe3a5_0|py38h75fe3a5_0|py39hdc34a94_3|py38hdc34a94_3|py36hdc34a94_3|py37h41b4c56_3|py38h41b4c56_3|py39h41b4c56_3|py39hfb011de_1|py27hde5b4d6_0|py27h2f8d375_0|py37hde5b4d6_0|py36h2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      "scipy -> numpy[version='>=1.16.6,<2.0a0'] -> numpy-base[version='1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.17.2.*|1.17.3.*|1.17.4.*|1.18.1.*|1.18.5.*|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.5|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.17.0|1.17.0|1.17.0|1.17.0|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|>=1.9.3,<2.0a0',build='py27h2b20989_6|py37hdbf6ddf_6|py27hdbf6ddf_6|py36hdbf6ddf_6|py27hdbf6ddf_7|py27h2b20989_7|py36hdbf6ddf_7|py35h2b20989_7|py37hdbf6ddf_7|py37h2b20989_7|py27h2b20989_7|py27hdbf6ddf_7|py36hdbf6ddf_7|py36h2b20989_8|py37h2b20989_8|py27hdbf6ddf_8|py35h2b20989_8|py35h7cdd4dd_9|py27h7cdd4dd_9|py37h3dfced4_9|py27h3dfced4_9|py37h81de0dd_9|py27h74e8950_9|py37h74e8950_9|py36h74e8950_9|py35h81de0dd_9|py37h74e8950_10|py35h74e8950_10|py27h74e8950_10|py36h74e8950_10|py27h81de0dd_10|py35h81de0dd_10|py37h2f8d375_10|py27h2f8d375_10|py37h2f8d375_11|py36h2f8d375_11|py37h2f8d375_12|py27h2f8d375_12|py27hde5b4d6_12|py37hde5b4d6_12|py36hde5b4d6_12|py38h2f8d375_12|py36h0ea5e3f_1|py36h9be14a7_1|py27h9be14a7_1|py27h2b20989_0|py36h2b20989_0|py27hdbf6ddf_0|py36hdbf6ddf_0|py36h2b20989_0|py27h2b20989_0|py36hdbf6ddf_0|py27hdbf6ddf_0|py36h2b20989_1|py36hdbf6ddf_1|py37hdbf6ddf_1|py27h2b20989_1|py27hdbf6ddf_2|py36h2b20989_3|py37h2b20989_3|py36hdbf6ddf_3|py27h2b20989_3|py27h2b20989_4|py27hdbf6ddf_4|py37hdbf6ddf_4|py36h2b20989_4|py35hdbf6ddf_4|py35h2f8d375_4|py27h81de0dd_4|py36h2f8d375_4|py36h81de0dd_4|py36h2f8d375_5|py27h2f8d375_5|py36hde5b4d6_5|py27h7cdd4dd_0|py36h7cdd4dd_0|py37h7cdd4dd_0|py35h7cdd4dd_0|py27h3dfced4_0|py36h3dfced4_0|py37h3dfced4_0|py37h74e8950_0|py35h2f8d375_0|py37h2f8d375_0|py37h81de0dd_0|py35h2f8d375_0|py36h2f8d375_0|py36h2f8d375_1|py27h81de0dd_1|py36h2f8d375_0|py37h81de0dd_0|py36h2f8d375_0|py37h81de0dd_0|py37hde5b4d6_0|py37hde5b4d6_0|py36h2f8d375_0|py36hde5b4d6_0|py37h2f8d375_1|py36h2f8d375_1|py27hde5b4d6_1|py36h2f8d375_0|py36hde5b4d6_0|py37h2f8d375_1|py27hde5b4d6_1|py27h2f8d375_0|py36hde5b4d6_0|py36h2f8d375_0|py37hde5b4d6_0|py36hde5b4d6_0|py27h2f8d375_0|py37h2f8d375_0|py36hde5b4d6_0|py36h2f8d375_0|py36hde5b4d6_0|py36h2f8d375_0|py37h2f8d375_0|py36hde5b4d6_0|py39hf524024_0|py310h9585f30_0|py38hf524024_0|py37h2f8d375_0|py36hde5b4d6_0|py38h2f8d375_0|py38hde5b4d6_0|py39h76555f2_1|py36h41b4c56_3|py37hdc34a94_3|py37hfa32c7d_0|py38hfa32c7d_0|py36hfa32c7d_0|py36h75fe3a5_0|py37hfa32c7d_0|py36h75fe3a5_0|py36hfa32c7d_0|py39h2ae0177_0|py37h7d8b39e_0|py38h34387ca_0|py38hfae3a4d_0|py37h74d4b33_0|py39h74d4b33_0|py38h74d4b33_0|py38h39b7dee_0|py37h39b7dee_0|py37h2b8c604_0|py37h79a1101_0|py310h2b8c604_0|py310h79a1101_0|py39hb8be1f0_1|py310h9585f30_1|py37hb8be1f0_2|py38hb8be1f0_2|py310h9585f30_2|py39hf524024_2|py38hf524024_2|py37hf524024_2|py39hb8be1f0_2|py310hf2716ce_2|py310hf2716ce_1|py37hf524024_1|py38hf524024_1|py37hb8be1f0_1|py38hb8be1f0_1|py39hf524024_1|py38h2b8c604_0|py39h2b8c604_0|py39h79a1101_0|py38h79a1101_0|py39h39b7dee_0|py39hfae3a4d_0|py37he2ba247_0|py37hfae3a4d_0|py39he2ba247_0|py38he2ba247_0|py39h7d8b39e_0|py38h7d8b39e_0|py39h34387ca_0|py37h34387ca_0|py39h0f7b65f_0|py38hfa32c7d_0|py37h75fe3a5_0|py38h75fe3a5_0|py37h75fe3a5_0|py38h75fe3a5_0|py39hdc34a94_3|py38hdc34a94_3|py36hdc34a94_3|py37h41b4c56_3|py38h41b4c56_3|py39h41b4c56_3|py39hfb011de_1|py27hde5b4d6_0|py27h2f8d375_0|py37hde5b4d6_0|py36h2f8d375_0|py38hb8be1f0_0|py310hf2716ce_0|py39hb8be1f0_0|py37hde5b4d6_0|py37hde5b4d6_0|py27hde5b4d6_0|py37h2f8d375_0|py27h2f8d375_0|py27hde5b4d6_0|py37hde5b4d6_0|py36h2f8d375_0|py27hde5b4d6_0|py37h2f8d375_0|py27h2f8d375_0|py27hde5b4d6_0|py37hde5b4d6_0|py36h2f8d375_0|py37h2f8d375_0|py36hde5b4d6_1|py37hde5b4d6_1|py36h2f8d375_1|py27h2f8d375_1|py27hde5b4d6_0|py37hde5b4d6_0|py27h2f8d375_0|py37h2f8d375_0|py36hde5b4d6_1|py37hde5b4d6_1|py27h2f8d375_1|py27hde5b4d6_0|py37h2f8d375_0|py27h2f8d375_0|py36hde5b4d6_0|py27hde5b4d6_0|py27h81de0dd_0|py36h81de0dd_0|py27h2f8d375_0|py37h2f8d375_0|py36h81de0dd_0|py27h81de0dd_0|py37h2f8d375_0|py27h2f8d375_0|py37h2f8d375_1|py37h81de0dd_1|py36h81de0dd_1|py27h2f8d375_1|py36h81de0dd_0|py35h81de0dd_0|py27h81de0dd_0|py27h2f8d375_0|py37h2f8d375_0|py36h2f8d375_0|py27h2f8d375_0|py35h81de0dd_0|py37h81de0dd_0|py27h81de0dd_0|py36h81de0dd_0|py36h74e8950_0|py27h74e8950_0|py35h74e8950_0|py35h3dfced4_0|py37hde5b4d6_5|py27hde5b4d6_5|py37h2f8d375_5|py38hde5b4d6_4|py38h2f8d375_4|py37h81de0dd_4|py35h81de0dd_4|py27h2f8d375_4|py37h2f8d375_4|py35h2b20989_4|py36hdbf6ddf_4|py37h2b20989_4|py27hdbf6ddf_3|py37hdbf6ddf_3|py36hdbf6ddf_2|py37hdbf6ddf_2|py37h2b20989_2|py36h2b20989_2|py27h2b20989_2|py27hdbf6ddf_1|py37h2b20989_1|py35hdbf6ddf_0|py35hdbf6ddf_0|py35h2b20989_0|py35h9be14a7_1|py35h0ea5e3f_1|py27h0ea5e3f_1|py38hde5b4d6_12|py36h2f8d375_12|py27hde5b4d6_11|py37hde5b4d6_11|py36hde5b4d6_11|py27h2f8d375_11|py35h2f8d375_10|py36h2f8d375_10|py36h81de0dd_10|py37h81de0dd_10|py27h81de0dd_9|py35h74e8950_9|py36h81de0dd_9|py35h3dfced4_9|py36h3dfced4_9|py37h7cdd4dd_9|py36h7cdd4dd_9|py35hdbf6ddf_8|py27h2b20989_8|py37hdbf6ddf_8|py36hdbf6ddf_8|py37hdbf6ddf_7|py36h2b20989_7|py37h2b20989_7|py35hdbf6ddf_7|py36h2b20989_7|py37h2b20989_6|py36h2b20989_6']\n",
      "seaborn -> numpy[version='>=1.15'] -> numpy-base[version='1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.17.2.*|1.17.3.*|1.17.4.*|1.18.1.*|1.18.5.*|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.5|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.17.0|1.17.0|1.17.0|1.17.0|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|>=1.9.3,<2.0a0',build='py27h2b20989_6|py37hdbf6ddf_6|py27hdbf6ddf_6|py36hdbf6ddf_6|py27hdbf6ddf_7|py27h2b20989_7|py35h2b20989_7|py37hdbf6ddf_7|py27h2b20989_7|py27hdbf6ddf_7|py37hdbf6ddf_7|py37h2b20989_8|py35h2b20989_8|py36h7cdd4dd_9|py35h7cdd4dd_9|py27h7cdd4dd_9|py37h81de0dd_9|py37h74e8950_9|py36h74e8950_9|py37h74e8950_10|py35h74e8950_10|py36h74e8950_10|py27h81de0dd_10|py35h81de0dd_10|py37h2f8d375_10|py36h2f8d375_10|py27h2f8d375_10|py37h2f8d375_11|py27h2f8d375_11|py36h2f8d375_11|py37h2f8d375_12|py27h2f8d375_12|py27hde5b4d6_12|py38h2f8d375_12|py36h0ea5e3f_1|py27h2b20989_0|py36h2b20989_0|py27hdbf6ddf_0|py36hdbf6ddf_0|py36h2b20989_0|py27h2b20989_0|py36hdbf6ddf_0|py27hdbf6ddf_0|py36h2b20989_1|py27hdbf6ddf_1|py36hdbf6ddf_1|py37hdbf6ddf_1|py27h2b20989_1|py27hdbf6ddf_2|py36h2b20989_3|py37h2b20989_3|py37hdbf6ddf_3|py27h2b20989_4|py27hdbf6ddf_4|py37hdbf6ddf_4|py36h2b20989_4|py35hdbf6ddf_4|py35h2f8d375_4|py27h81de0dd_4|py36h81de0dd_4|py36h2f8d375_5|py37h2f8d375_5|py27h2f8d375_5|py36hde5b4d6_5|py36h2f8d375_0|py38hf524024_0|py39hb8be1f0_0|py310hf2716ce_0|py36h7cdd4dd_0|py37h7cdd4dd_0|py35h7cdd4dd_0|py27h3dfced4_0|py36h3dfced4_0|py35h74e8950_0|py27h74e8950_0|py37h74e8950_0|py37h81de0dd_0|py35h2f8d375_0|py36h2f8d375_0|py37h2f8d375_0|py37h81de0dd_0|py35h2f8d375_0|py36h2f8d375_1|py27h81de0dd_1|py37h81de0dd_1|py36h2f8d375_0|py37h81de0dd_0|py37h2f8d375_0|py36h2f8d375_0|py27h2f8d375_0|py37h81de0dd_0|py36hde5b4d6_0|py37hde5b4d6_0|py36hde5b4d6_0|py37h2f8d375_1|py36h2f8d375_1|py27hde5b4d6_1|py36h2f8d375_0|py36hde5b4d6_0|py37h2f8d375_1|py36h2f8d375_1|py27hde5b4d6_1|py36h2f8d375_0|py27h2f8d375_0|py37h2f8d375_0|py37hde5b4d6_0|py36hde5b4d6_0|py36h2f8d375_0|py27h2f8d375_0|py37h2f8d375_0|py36hde5b4d6_0|py37h2f8d375_0|py36hde5b4d6_0|py38h2f8d375_0|py38hde5b4d6_0|py39h76555f2_1|py36h41b4c56_3|py37hdc34a94_3|py37hfa32c7d_0|py38hfa32c7d_0|py36hfa32c7d_0|py36h75fe3a5_0|py37hfa32c7d_0|py36h75fe3a5_0|py36hfa32c7d_0|py39h2ae0177_0|py37h7d8b39e_0|py38h34387ca_0|py38hfae3a4d_0|py37h74d4b33_0|py39h74d4b33_0|py38h74d4b33_0|py38h39b7dee_0|py37h39b7dee_0|py37h2b8c604_0|py37h79a1101_0|py310h2b8c604_0|py310h79a1101_0|py39hb8be1f0_1|py310h9585f30_1|py37hb8be1f0_2|py38hb8be1f0_2|py310h9585f30_2|py39hf524024_2|py38hf524024_2|py37hf524024_2|py39hb8be1f0_2|py310hf2716ce_2|py310hf2716ce_1|py37hf524024_1|py38hf524024_1|py37hb8be1f0_1|py38hb8be1f0_1|py39hf524024_1|py38h2b8c604_0|py39h2b8c604_0|py39h79a1101_0|py38h79a1101_0|py39h39b7dee_0|py39hfae3a4d_0|py37he2ba247_0|py37hfae3a4d_0|py39he2ba247_0|py38he2ba247_0|py39h7d8b39e_0|py38h7d8b39e_0|py39h34387ca_0|py37h34387ca_0|py39h0f7b65f_0|py38hfa32c7d_0|py37h75fe3a5_0|py38h75fe3a5_0|py37h75fe3a5_0|py38h75fe3a5_0|py39hdc34a94_3|py38hdc34a94_3|py36hdc34a94_3|py37h41b4c56_3|py38h41b4c56_3|py39h41b4c56_3|py39hfb011de_1|py27hde5b4d6_0|py27h2f8d375_0|py37hde5b4d6_0|py36h2f8d375_0|py37hde5b4d6_0|py27hde5b4d6_0|py36h2f8d375_0|py36hde5b4d6_0|py27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      "imageio -> numpy -> numpy-base[version='1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.17.2.*|1.17.3.*|1.17.4.*|1.18.1.*|1.18.5.*|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.5|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|>=1.9.3,<2.0a0|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.17.0|1.17.0|1.17.0|1.17.0',build='py36h2f8d375_0|py36hde5b4d6_0|py39hf524024_0|py38hf524024_0|py39hb8be1f0_0|py27h2b20989_6|py37hdbf6ddf_6|py27hdbf6ddf_6|py36hdbf6ddf_6|py27hdbf6ddf_7|py27h2b20989_7|py35h2b20989_7|py27h2b20989_7|py27hdbf6ddf_7|py36hdbf6ddf_7|py37hdbf6ddf_7|py37h2b20989_8|py35h2b20989_8|py35h7cdd4dd_9|py27h7cdd4dd_9|py37h7cdd4dd_9|py36h3dfced4_9|py36h81de0dd_9|py37h81de0dd_9|py27h74e8950_9|py37h74e8950_9|py36h74e8950_9|py37h74e8950_10|py35h74e8950_10|py27h74e8950_10|py27h81de0dd_10|py37h2f8d375_10|py36h2f8d375_10|py27h2f8d375_10|py37h2f8d375_11|py36h2f8d375_11|py37h2f8d375_12|py27h2f8d375_12|py27hde5b4d6_12|py37hde5b4d6_12|py38h2f8d375_12|py36h0ea5e3f_1|py36h9be14a7_1|py35h9be14a7_1|py27h2b20989_0|py36h2b20989_0|py35h2b20989_0|py27hdbf6ddf_0|py36hdbf6ddf_0|py27h2b20989_0|py36hdbf6ddf_0|py27hdbf6ddf_0|py27hdbf6ddf_1|py36hdbf6ddf_1|py37hdbf6ddf_1|py27h2b20989_1|py27h2b20989_2|py37h2b20989_2|py27hdbf6ddf_2|py37hdbf6ddf_2|py36h2b20989_3|py37h2b20989_3|py36hdbf6ddf_3|py27hdbf6ddf_4|py37hdbf6ddf_4|py36h2b20989_4|py35hdbf6ddf_4|py35h2f8d375_4|py27h81de0dd_4|py35h81de0dd_4|py36h2f8d375_5|py27h2f8d375_5|py36hde5b4d6_5|py36h7cdd4dd_0|py37h7cdd4dd_0|py35h7cdd4dd_0|py27h3dfced4_0|py36h3dfced4_0|py35h74e8950_0|py27h74e8950_0|py37h74e8950_0|py37h81de0dd_0|py35h2f8d375_0|py36h2f8d375_0|py37h2f8d375_0|py37h81de0dd_0|py35h2f8d375_0|py36h2f8d375_1|py27h81de0dd_1|py37h81de0dd_1|py36h2f8d375_0|py37h81de0dd_0|py37h2f8d375_0|py36h2f8d375_0|py27h2f8d375_0|py37h81de0dd_0|py36hde5b4d6_0|py37hde5b4d6_0|py36hde5b4d6_0|py37h2f8d375_1|py36h2f8d375_1|py27hde5b4d6_1|py36h2f8d375_0|py36hde5b4d6_0|py37h2f8d375_1|py36h2f8d375_1|py27hde5b4d6_1|py36h2f8d375_0|py27h2f8d375_0|py37h2f8d375_0|py37hde5b4d6_0|py36hde5b4d6_0|py36h2f8d375_0|py27h2f8d375_0|py37h2f8d375_0|py36hde5b4d6_0|py37h2f8d375_0|py36hde5b4d6_0|py38h2f8d375_0|py38hde5b4d6_0|py39h76555f2_1|py36h41b4c56_3|py37hdc34a94_3|py37hfa32c7d_0|py38hfa32c7d_0|py36hfa32c7d_0|py36h75fe3a5_0|py37hfa32c7d_0|py36h75fe3a5_0|py36hfa32c7d_0|py39h2ae0177_0|py37h7d8b39e_0|py38h34387ca_0|py38hfae3a4d_0|py37h74d4b33_0|py39h74d4b33_0|py38h74d4b33_0|py38h39b7dee_0|py37h39b7dee_0|py37h2b8c604_0|py37h79a1101_0|py310h2b8c604_0|py310h79a1101_0|py39hb8be1f0_1|py310h9585f30_1|py37hb8be1f0_2|py38hb8be1f0_2|py310h9585f30_2|py39hf524024_2|py38hf524024_2|py37hf524024_2|py39hb8be1f0_2|py310hf2716ce_2|py310hf2716ce_1|py37hf524024_1|py38hf524024_1|py37hb8be1f0_1|py38hb8be1f0_1|py39hf524024_1|py38h2b8c604_0|py39h2b8c604_0|py39h79a1101_0|py38h79a1101_0|py39h39b7dee_0|py39hfae3a4d_0|py37he2ba247_0|py37hfae3a4d_0|py39he2ba247_0|py38he2ba247_0|py39h7d8b39e_0|py38h7d8b39e_0|py39h34387ca_0|py37h34387ca_0|py39h0f7b65f_0|py38hfa32c7d_0|py37h75fe3a5_0|py38h75fe3a5_0|py37h75fe3a5_0|py38h75fe3a5_0|py39hdc34a94_3|py38hdc34a94_3|py36hdc34a94_3|py37h41b4c56_3|py38h41b4c56_3|py39h41b4c56_3|py39hfb011de_1|py27hde5b4d6_0|py27h2f8d375_0|py37hde5b4d6_0|py36h2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      "pywavelets -> numpy[version='>=1.21.2,<2.0a0'] -> numpy-base[version='1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.17.2.*|1.17.3.*|1.17.4.*|1.18.1.*|1.18.5.*|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.5|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.17.0|1.17.0|1.17.0|1.17.0|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|>=1.9.3,<2.0a0',build='py27h2b20989_6|py37hdbf6ddf_6|py27hdbf6ddf_7|py27h2b20989_7|py35h2b20989_7|py37h2b20989_7|py27h2b20989_7|py27hdbf6ddf_7|py37hdbf6ddf_8|py37h2b20989_8|py27hdbf6ddf_8|py35h2b20989_8|py36h7cdd4dd_9|py35h7cdd4dd_9|py27h7cdd4dd_9|py36h3dfced4_9|py37h81de0dd_9|py27h74e8950_9|py35h74e8950_9|py36h74e8950_9|py35h81de0dd_9|py37h74e8950_10|py35h74e8950_10|py27h74e8950_10|py27h81de0dd_10|py37h2f8d375_10|py36h2f8d375_10|py27h2f8d375_10|py35h2f8d375_10|py36h2f8d375_11|py37h2f8d375_12|py36h2f8d375_12|py27hde5b4d6_12|py38h2f8d375_12|py36h0ea5e3f_1|py36h9be14a7_1|py27h2b20989_0|py36h2b20989_0|py27hdbf6ddf_0|py36hdbf6ddf_0|py36h2b20989_0|py27h2b20989_0|py36hdbf6ddf_0|py27hdbf6ddf_0|py36h2b20989_1|py37h2b20989_1|py27hdbf6ddf_1|py37hdbf6ddf_1|py27h2b20989_1|py27h2b20989_2|py37h2b20989_2|py27hdbf6ddf_2|py37hdbf6ddf_2|py36hdbf6ddf_2|py36h2b20989_3|py37h2b20989_3|py37hdbf6ddf_3|py36hdbf6ddf_3|py27h2b20989_4|py27hdbf6ddf_4|py37hdbf6ddf_4|py36h2b20989_4|py35hdbf6ddf_4|py35h2f8d375_4|py27h81de0dd_4|py37h81de0dd_4|py36h81de0dd_4|py38h2f8d375_4|py37h2f8d375_5|py27h2f8d375_5|py27hde5b4d6_5|py36hde5b4d6_5|py27h7cdd4dd_0|py35h7cdd4dd_0|py27h3dfced4_0|py36h3dfced4_0|py35h3dfced4_0|py37h81de0dd_0|py35h2f8d375_0|py27h2f8d375_0|py36h2f8d375_0|py37h2f8d375_0|py27h2f8d375_0|py37h81de0dd_0|py35h2f8d375_0|py36h2f8d375_1|py27h81de0dd_1|py37h2f8d375_1|py36h2f8d375_0|py37h81de0dd_0|py37h2f8d375_0|py36h2f8d375_0|py27h2f8d375_0|py37h81de0dd_0|py37h2f8d375_0|py37hde5b4d6_0|py36h2f8d375_0|py36hde5b4d6_0|py36h2f8d375_1|py27hde5b4d6_1|py36hde5b4d6_0|py36h2f8d375_1|py27hde5b4d6_1|py36h2f8d375_0|py36hde5b4d6_0|py27h2f8d375_0|py36h2f8d375_0|py36hde5b4d6_0|py27h2f8d375_0|py36h2f8d375_0|py37hde5b4d6_0|py36hde5b4d6_0|py36h2f8d375_0|py27h2f8d375_0|py37h2f8d375_0|py36hde5b4d6_0|py36h2f8d375_0|py36hde5b4d6_0|py36h2f8d375_0|py37hde5b4d6_0|py36hde5b4d6_0|py38h2f8d375_0|py39h76555f2_1|py36h41b4c56_3|py36hdc34a94_3|py38hdc34a94_3|py37hdc34a94_3|py37hfa32c7d_0|py38hfa32c7d_0|py36hfa32c7d_0|py36h75fe3a5_0|py37hfa32c7d_0|py36h75fe3a5_0|py39h2ae0177_0|py37h34387ca_0|py37h7d8b39e_0|py39h34387ca_0|py38h34387ca_0|py38h7d8b39e_0|py38hfae3a4d_0|py37he2ba247_0|py39h74d4b33_0|py38h74d4b33_0|py37h39b7dee_0|py39hf524024_0|py38hf524024_0|py310hf2716ce_0|py37h2b8c604_0|py37h79a1101_0|py310h2b8c604_0|py310h79a1101_0|py39hb8be1f0_1|py310h9585f30_1|py37hb8be1f0_2|py38hb8be1f0_2|py310h9585f30_2|py39hf524024_2|py38hf524024_2|py37hf524024_2|py39hb8be1f0_2|py310hf2716ce_2|py310hf2716ce_1|py37hf524024_1|py38hf524024_1|py37hb8be1f0_1|py38hb8be1f0_1|py39hf524024_1|py38h2b8c604_0|py39h2b8c604_0|py39h79a1101_0|py38h79a1101_0|py38hb8be1f0_0|py39hb8be1f0_0|py310h9585f30_0|py39h39b7dee_0|py38h39b7dee_0|py37h74d4b33_0|py39hfae3a4d_0|py37hfae3a4d_0|py39he2ba247_0|py38he2ba247_0|py39h7d8b39e_0|py39h0f7b65f_0|py38hfa32c7d_0|py36hfa32c7d_0|py37h75fe3a5_0|py38h75fe3a5_0|py37h75fe3a5_0|py38h75fe3a5_0|py39hdc34a94_3|py37h41b4c56_3|py38h41b4c56_3|py39h41b4c56_3|py39hfb011de_1|py27hde5b4d6_0|py27h2f8d375_0|py38hde5b4d6_0|py37h2f8d375_0|py37hde5b4d6_0|py37h2f8d375_0|py37hde5b4d6_0|py27hde5b4d6_0|py27hde5b4d6_0|py37h2f8d375_0|py27hde5b4d6_0|py37hde5b4d6_0|py37h2f8d375_0|py27hde5b4d6_0|py37hde5b4d6_0|py27h2f8d375_0|py37h2f8d375_0|py36hde5b4d6_1|py37hde5b4d6_1|py37h2f8d375_1|py27h2f8d375_1|py27hde5b4d6_0|py37hde5b4d6_0|py36h2f8d375_0|py27h2f8d375_0|py37h2f8d375_0|py36hde5b4d6_1|py37hde5b4d6_1|py27h2f8d375_1|py37h2f8d375_1|py27hde5b4d6_0|py27h2f8d375_0|py37hde5b4d6_0|py36hde5b4d6_0|py27hde5b4d6_0|py27h81de0dd_0|py36h81de0dd_0|py36h81de0dd_0|py27h81de0dd_0|py37h2f8d375_0|py27h2f8d375_0|py37h81de0dd_1|py36h81de0dd_1|py27h2f8d375_1|py36h81de0dd_0|py36h2f8d375_0|py35h81de0dd_0|py27h81de0dd_0|py37h2f8d375_0|py35h81de0dd_0|py27h81de0dd_0|py36h81de0dd_0|py37h74e8950_0|py36h74e8950_0|py27h74e8950_0|py35h74e8950_0|py37h3dfced4_0|py37h7cdd4dd_0|py36h7cdd4dd_0|py37hde5b4d6_5|py36h2f8d375_5|py38hde5b4d6_4|py35h81de0dd_4|py27h2f8d375_4|py36h2f8d375_4|py37h2f8d375_4|py35h2b20989_4|py36hdbf6ddf_4|py37h2b20989_4|py27hdbf6ddf_3|py27h2b20989_3|py36h2b20989_2|py36hdbf6ddf_1|py35hdbf6ddf_0|py35hdbf6ddf_0|py35h2b20989_0|py35h9be14a7_1|py27h9be14a7_1|py35h0ea5e3f_1|py27h0ea5e3f_1|py38hde5b4d6_12|py36hde5b4d6_12|py37hde5b4d6_12|py27h2f8d375_12|py27hde5b4d6_11|py37hde5b4d6_11|py36hde5b4d6_11|py27h2f8d375_11|py37h2f8d375_11|py35h81de0dd_10|py36h81de0dd_10|py37h81de0dd_10|py36h74e8950_10|py27h81de0dd_9|py37h74e8950_9|py36h81de0dd_9|py27h3dfced4_9|py35h3dfced4_9|py37h3dfced4_9|py37h7cdd4dd_9|py35hdbf6ddf_8|py27h2b20989_8|py36h2b20989_8|py36hdbf6ddf_8|py37hdbf6ddf_7|py36hdbf6ddf_7|py36h2b20989_7|py37h2b20989_7|py37hdbf6ddf_7|py35hdbf6ddf_7|py36h2b20989_7|py36hdbf6ddf_7|py36hdbf6ddf_6|py27hdbf6ddf_6|py37h2b20989_6|py36h2b20989_6']\n",
      "tensorflow-estimator -> numpy[version='>=1.16.1'] -> numpy-base[version='1.14.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.17.2.*|1.17.3.*|1.17.4.*|1.18.1.*|1.18.5.*|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.5|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.17.0|1.17.0|1.17.0|1.17.0',build='py36h0ea5e3f_1|py35h9be14a7_1|py27h2b20989_0|py27hdbf6ddf_0|py36hdbf6ddf_0|py36h2b20989_0|py27h2b20989_0|py36hdbf6ddf_0|py36h2b20989_1|py27hdbf6ddf_1|py37hdbf6ddf_1|py27h2b20989_1|py27hdbf6ddf_2|py37hdbf6ddf_2|py36h2b20989_3|py37h2b20989_3|py27h2b20989_4|py27hdbf6ddf_4|py37hdbf6ddf_4|py36h2b20989_4|py35hdbf6ddf_4|py35h2f8d375_4|py27h81de0dd_4|py38hde5b4d6_4|py27h2f8d375_5|py27h7cdd4dd_0|py36h7cdd4dd_0|py37h7cdd4dd_0|py35h7cdd4dd_0|py27h3dfced4_0|py36h3dfced4_0|py35h74e8950_0|py27h74e8950_0|py37h81de0dd_0|py35h2f8d375_0|py27h2f8d375_0|py36h2f8d375_0|py37h2f8d375_0|py37h2f8d375_0|py27h2f8d375_0|py37h81de0dd_0|py35h2f8d375_0|py36h2f8d375_0|py36h2f8d375_1|py27h81de0dd_1|py37h81de0dd_1|py27h2f8d375_0|py36h2f8d375_0|py27h2f8d375_0|py37h81de0dd_0|py36hde5b4d6_0|py37hde5b4d6_0|py36h2f8d375_0|py36hde5b4d6_0|py37h2f8d375_1|py36hde5b4d6_0|py38hf524024_0|py36h2f8d375_0|py36hde5b4d6_0|py37h2f8d375_1|py36h2f8d375_1|py27hde5b4d6_1|py36h2f8d375_0|py27h2f8d375_0|py37h2f8d375_0|py37hde5b4d6_0|py36hde5b4d6_0|py36h2f8d375_0|py27h2f8d375_0|py37h2f8d375_0|py36hde5b4d6_0|py37h2f8d375_0|py36hde5b4d6_0|py38h2f8d375_0|py38hde5b4d6_0|py39h76555f2_1|py36h41b4c56_3|py37hdc34a94_3|py37hfa32c7d_0|py38hfa32c7d_0|py36hfa32c7d_0|py36h75fe3a5_0|py37hfa32c7d_0|py36h75fe3a5_0|py36hfa32c7d_0|py39h2ae0177_0|py37h7d8b39e_0|py38h34387ca_0|py38hfae3a4d_0|py37h74d4b33_0|py39h74d4b33_0|py38h74d4b33_0|py38h39b7dee_0|py37h39b7dee_0|py37h2b8c604_0|py37h79a1101_0|py310h2b8c604_0|py310h79a1101_0|py39hb8be1f0_1|py310h9585f30_1|py37hb8be1f0_2|py38hb8be1f0_2|py310h9585f30_2|py39hf524024_2|py38hf524024_2|py37hf524024_2|py39hb8be1f0_2|py310hf2716ce_2|py310hf2716ce_1|py37hf524024_1|py38hf524024_1|py37hb8be1f0_1|py38hb8be1f0_1|py39hf524024_1|py38h2b8c604_0|py39h2b8c604_0|py39h79a1101_0|py38h79a1101_0|py39h39b7dee_0|py39hfae3a4d_0|py37he2ba247_0|py37hfae3a4d_0|py39he2ba247_0|py38he2ba247_0|py39h7d8b39e_0|py38h7d8b39e_0|py39h34387ca_0|py37h34387ca_0|py39h0f7b65f_0|py38hfa32c7d_0|py37h75fe3a5_0|py38h75fe3a5_0|py37h75fe3a5_0|py38h75fe3a5_0|py39hdc34a94_3|py38hdc34a94_3|py36hdc34a94_3|py37h41b4c56_3|py38h41b4c56_3|py39h41b4c56_3|py39hfb011de_1|py27hde5b4d6_0|py27h2f8d375_0|py37hde5b4d6_0|py36h2f8d375_0|py37hde5b4d6_0|py27hde5b4d6_0|py36h2f8d375_0|py36hde5b4d6_0|py27hde5b4d6_0|py37hde5b4d6_0|py37h2f8d375_0|py27h2f8d375_0|py27hde5b4d6_0|py36h2f8d375_0|py27h2f8d375_0|py36hde5b4d6_0|py27hde5b4d6_0|py37hde5b4d6_0|py37h2f8d375_0|py36hde5b4d6_1|py37hde5b4d6_1|py27h2f8d375_1|py27hde5b4d6_0|py37hde5b4d6_0|py27h2f8d375_0|py37h2f8d375_0|py38hb8be1f0_0|py310hf2716ce_0|py39hb8be1f0_0|py310h9585f30_0|py39hf524024_0|py37hde5b4d6_0|py37h2f8d375_0|py36h2f8d375_0|py36hde5b4d6_1|py27hde5b4d6_1|py37hde5b4d6_1|py36h2f8d375_1|py27h2f8d375_1|py27hde5b4d6_0|py37h2f8d375_0|py27h2f8d375_0|py37hde5b4d6_0|py27hde5b4d6_0|py27h81de0dd_0|py36h81de0dd_0|py37h2f8d375_0|py37h81de0dd_0|py36h81de0dd_0|py27h81de0dd_0|py37h2f8d375_0|py36h2f8d375_0|py37h2f8d375_1|py36h81de0dd_1|py27h2f8d375_1|py36h81de0dd_0|py35h81de0dd_0|py27h81de0dd_0|py35h81de0dd_0|py27h81de0dd_0|py36h81de0dd_0|py37h74e8950_0|py36h74e8950_0|py37h3dfced4_0|py35h3dfced4_0|py36hde5b4d6_5|py37hde5b4d6_5|py27hde5b4d6_5|py37h2f8d375_5|py36h2f8d375_5|py38h2f8d375_4|py36h81de0dd_4|py37h81de0dd_4|py35h81de0dd_4|py27h2f8d375_4|py36h2f8d375_4|py37h2f8d375_4|py35h2b20989_4|py36hdbf6ddf_4|py37h2b20989_4|py27hdbf6ddf_3|py27h2b20989_3|py36hdbf6ddf_3|py37hdbf6ddf_3|py36hdbf6ddf_2|py37h2b20989_2|py36h2b20989_2|py27h2b20989_2|py36hdbf6ddf_1|py37h2b20989_1|py35hdbf6ddf_0|py27hdbf6ddf_0|py35hdbf6ddf_0|py35h2b20989_0|py36h2b20989_0|py27h9be14a7_1|py36h9be14a7_1|py35h0ea5e3f_1|py27h0ea5e3f_1']\n",
      "pandas -> numpy[version='>=1.21.5,<2.0a0'] -> numpy-base[version='1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.17.2.*|1.17.3.*|1.17.4.*|1.18.1.*|1.18.5.*|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.5|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|>=1.17.3,<2.0a0|1.17.0|1.17.0|1.17.0|1.17.0|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|>=1.9.3,<2.0a0',build='py37hdbf6ddf_6|py27hdbf6ddf_6|py36hdbf6ddf_6|py27hdbf6ddf_7|py27h2b20989_7|py35h2b20989_7|py27h2b20989_7|py27hdbf6ddf_7|py36hdbf6ddf_7|py37hdbf6ddf_8|py37h2b20989_8|py35h2b20989_8|py36h7cdd4dd_9|py35h7cdd4dd_9|py27h7cdd4dd_9|py37h7cdd4dd_9|py36h3dfced4_9|py27h3dfced4_9|py37h81de0dd_9|py27h74e8950_9|py37h74e8950_9|py36h74e8950_9|py27h81de0dd_9|py37h74e8950_10|py35h74e8950_10|py27h81de0dd_10|py35h81de0dd_10|py37h2f8d375_10|py36h2f8d375_10|py27h2f8d375_10|py35h2f8d375_10|py36h2f8d375_11|py37hde5b4d6_11|py27hde5b4d6_11|py37h2f8d375_12|py27h2f8d375_12|py36h2f8d375_12|py27hde5b4d6_12|py37hde5b4d6_12|py38hde5b4d6_12|py38h2f8d375_12|py36h0ea5e3f_1|py35h9be14a7_1|py27h2b20989_0|py36hdbf6ddf_0|py36h2b20989_0|py27h2b20989_0|py36hdbf6ddf_0|py27hdbf6ddf_0|py37h2b20989_1|py27hdbf6ddf_1|py36hdbf6ddf_1|py37hdbf6ddf_1|py27h2b20989_1|py27h2b20989_2|py37h2b20989_2|py27hdbf6ddf_2|py37hdbf6ddf_2|py36h2b20989_3|py27h2b20989_3|py27h2b20989_4|py27hdbf6ddf_4|py37hdbf6ddf_4|py36h2b20989_4|py36hdbf6ddf_4|py35hdbf6ddf_4|py27h81de0dd_4|py37h81de0dd_4|py36h81de0dd_4|py37h2f8d375_5|py27h2f8d375_5|py36hde5b4d6_5|py36h7cdd4dd_0|py35h7cdd4dd_0|py27h3dfced4_0|py36h3dfced4_0|py35h3dfced4_0|py27h74e8950_0|py37h74e8950_0|py37h81de0dd_0|py35h2f8d375_0|py27h2f8d375_0|py36h2f8d375_0|py37h81de0dd_0|py35h2f8d375_0|py36h2f8d375_0|py36h2f8d375_1|py27h81de0dd_1|py37h81de0dd_1|py27h2f8d375_0|py36h2f8d375_0|py37h81de0dd_0|py36hde5b4d6_0|py37hde5b4d6_0|py27h2f8d375_0|py37h2f8d375_0|py36h2f8d375_0|py36hde5b4d6_0|py37h2f8d375_1|py36h2f8d375_1|py36hde5b4d6_1|py27h2f8d375_0|py36h2f8d375_0|py36hde5b4d6_0|py37h2f8d375_1|py36h2f8d375_1|py37hde5b4d6_1|py27hde5b4d6_1|py37h2f8d375_0|py36h2f8d375_0|py27h2f8d375_0|py37hde5b4d6_0|py36hde5b4d6_0|py36h2f8d375_0|py36hde5b4d6_0|py27h2f8d375_0|py36h2f8d375_0|py27hde5b4d6_0|py36hde5b4d6_0|py36h2f8d375_0|py27h2f8d375_0|py27hde5b4d6_0|py36hde5b4d6_0|py37hde5b4d6_0|py36hde5b4d6_0|py37hde5b4d6_0|py38h2f8d375_0|py27h2f8d375_0|py36h41b4c56_3|py36hdc34a94_3|py38hdc34a94_3|py37hdc34a94_3|py37hfa32c7d_0|py38hfa32c7d_0|py36h75fe3a5_0|py37hfa32c7d_0|py36h75fe3a5_0|py39h2ae0177_0|py37h34387ca_0|py37h7d8b39e_0|py39h34387ca_0|py38hfae3a4d_0|py38h39b7dee_0|py37h39b7dee_0|py38h79a1101_0|py37h2b8c604_0|py39h2b8c604_0|py37h79a1101_0|py38h2b8c604_0|py310h2b8c604_0|py310h79a1101_0|py39hf524024_0|py38hf524024_0|py39hb8be1f0_0|py310hf2716ce_0|py39hb8be1f0_1|py310h9585f30_1|py37hb8be1f0_2|py38hb8be1f0_2|py310h9585f30_2|py39hf524024_2|py38hf524024_2|py37hf524024_2|py39hb8be1f0_2|py310hf2716ce_2|py310hf2716ce_1|py37hf524024_1|py38hf524024_1|py37hb8be1f0_1|py38hb8be1f0_1|py39hf524024_1|py38hb8be1f0_0|py310h9585f30_0|py39h79a1101_0|py39h39b7dee_0|py38h74d4b33_0|py39h74d4b33_0|py37h74d4b33_0|py39hfae3a4d_0|py37he2ba247_0|py37hfae3a4d_0|py39he2ba247_0|py38he2ba247_0|py39h7d8b39e_0|py38h7d8b39e_0|py38h34387ca_0|py39h0f7b65f_0|py38hfa32c7d_0|py36hfa32c7d_0|py37h75fe3a5_0|py38h75fe3a5_0|py37h75fe3a5_0|py36hfa32c7d_0|py38h75fe3a5_0|py39hdc34a94_3|py37h41b4c56_3|py38h41b4c56_3|py39h41b4c56_3|py39h76555f2_1|py39hfb011de_1|py27hde5b4d6_0|py38hde5b4d6_0|py36hde5b4d6_0|py36h2f8d375_0|py37h2f8d375_0|py37h2f8d375_0|py36h2f8d375_0|py37hde5b4d6_0|py37h2f8d375_0|py37hde5b4d6_0|py37h2f8d375_0|py27hde5b4d6_0|py37hde5b4d6_0|py37h2f8d375_0|py27h2f8d375_0|py27hde5b4d6_0|py36hde5b4d6_1|py27h2f8d375_1|py27hde5b4d6_0|py37hde5b4d6_0|py37h2f8d375_0|py27hde5b4d6_1|py37hde5b4d6_1|py27h2f8d375_1|py27hde5b4d6_0|py37hde5b4d6_0|py27hde5b4d6_0|py27h81de0dd_0|py36h81de0dd_0|py27h2f8d375_0|py36h2f8d375_0|py37h2f8d375_0|py37h81de0dd_0|py36h81de0dd_0|py27h81de0dd_0|py37h2f8d375_0|py37h2f8d375_1|py36h81de0dd_1|py27h2f8d375_1|py36h81de0dd_0|py35h81de0dd_0|py27h81de0dd_0|py27h2f8d375_0|py37h2f8d375_0|py37h2f8d375_0|py35h81de0dd_0|py27h81de0dd_0|py36h81de0dd_0|py36h74e8950_0|py35h74e8950_0|py37h3dfced4_0|py37h7cdd4dd_0|py27h7cdd4dd_0|py37hde5b4d6_5|py27hde5b4d6_5|py36h2f8d375_5|py38hde5b4d6_4|py38h2f8d375_4|py35h81de0dd_4|py27h2f8d375_4|py36h2f8d375_4|py35h2f8d375_4|py37h2f8d375_4|py35h2b20989_4|py37h2b20989_4|py27hdbf6ddf_3|py36hdbf6ddf_3|py37hdbf6ddf_3|py37h2b20989_3|py36hdbf6ddf_2|py36h2b20989_2|py36h2b20989_1|py35hdbf6ddf_0|py35hdbf6ddf_0|py27hdbf6ddf_0|py35h2b20989_0|py36h2b20989_0|py27h9be14a7_1|py36h9be14a7_1|py35h0ea5e3f_1|py27h0ea5e3f_1|py36hde5b4d6_12|py36hde5b4d6_11|py27h2f8d375_11|py37h2f8d375_11|py36h81de0dd_10|py37h81de0dd_10|py36h74e8950_10|py27h74e8950_10|py35h81de0dd_9|py35h74e8950_9|py36h81de0dd_9|py35h3dfced4_9|py37h3dfced4_9|py35hdbf6ddf_8|py27hdbf6ddf_8|py27h2b20989_8|py36h2b20989_8|py36hdbf6ddf_8|py37hdbf6ddf_7|py36h2b20989_7|py37h2b20989_7|py37h2b20989_7|py37hdbf6ddf_7|py35hdbf6ddf_7|py36h2b20989_7|py36hdbf6ddf_7|py37h2b20989_6|py36h2b20989_6|py27h2b20989_6']\n",
      "tifffile -> numpy[version='>=1.15.1'] -> numpy-base[version='1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.17.2.*|1.17.3.*|1.17.4.*|1.18.1.*|1.18.5.*|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.5|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.17.0|1.17.0|1.17.0|1.17.0',build='py27hdbf6ddf_7|py36hdbf6ddf_7|py37hdbf6ddf_7|py37h2b20989_8|py27h2b20989_8|py35h2b20989_8|py35h7cdd4dd_9|py27h7cdd4dd_9|py37h7cdd4dd_9|py36h3dfced4_9|py36h81de0dd_9|py37h81de0dd_9|py27h74e8950_9|py36h74e8950_9|py35h74e8950_10|py27h74e8950_10|py27h81de0dd_10|py35h81de0dd_10|py37h2f8d375_10|py36h2f8d375_10|py27h2f8d375_10|py37h2f8d375_11|py27h2f8d375_11|py36h2f8d375_11|py37h2f8d375_12|py27h2f8d375_12|py36h2f8d375_12|py27hde5b4d6_12|py37hde5b4d6_12|py38h2f8d375_12|py36h0ea5e3f_1|py35h9be14a7_1|py27h2b20989_0|py36h2b20989_0|py35h2b20989_0|py27hdbf6ddf_0|py36hdbf6ddf_0|py36h2b20989_0|py27h2b20989_0|py36hdbf6ddf_0|py27hdbf6ddf_0|py36h2b20989_1|py36hdbf6ddf_1|py27h2b20989_2|py37h2b20989_2|py27hdbf6ddf_2|py37hdbf6ddf_2|py36hdbf6ddf_2|py36h2b20989_3|py37h2b20989_3|py36hdbf6ddf_3|py27h2b20989_4|py27hdbf6ddf_4|py37hdbf6ddf_4|py36h2b20989_4|py35hdbf6ddf_4|py35h2f8d375_4|py27h81de0dd_4|py36h81de0dd_4|py38h2f8d375_4|py38hde5b4d6_4|py37h2f8d375_5|py27h2f8d375_5|py36hde5b4d6_5|py27h7cdd4dd_0|py37h7cdd4dd_0|py35h7cdd4dd_0|py27h3dfced4_0|py36h3dfced4_0|py37h3dfced4_0|py36h2f8d375_0|py37hde5b4d6_0|py36hde5b4d6_0|py38hf524024_0|py39hb8be1f0_0|py35h74e8950_0|py27h74e8950_0|py37h74e8950_0|py37h81de0dd_0|py35h2f8d375_0|py36h2f8d375_0|py37h2f8d375_0|py37h81de0dd_0|py35h2f8d375_0|py36h2f8d375_1|py27h81de0dd_1|py37h81de0dd_1|py36h2f8d375_0|py37h81de0dd_0|py37h2f8d375_0|py36h2f8d375_0|py27h2f8d375_0|py37h81de0dd_0|py36hde5b4d6_0|py37hde5b4d6_0|py36hde5b4d6_0|py37h2f8d375_1|py36h2f8d375_1|py27hde5b4d6_1|py36h2f8d375_0|py36hde5b4d6_0|py37h2f8d375_1|py36h2f8d375_1|py27hde5b4d6_1|py36h2f8d375_0|py27h2f8d375_0|py37h2f8d375_0|py37hde5b4d6_0|py36hde5b4d6_0|py36h2f8d375_0|py27h2f8d375_0|py37h2f8d375_0|py36hde5b4d6_0|py37h2f8d375_0|py36hde5b4d6_0|py38h2f8d375_0|py38hde5b4d6_0|py39h76555f2_1|py36h41b4c56_3|py37hdc34a94_3|py37hfa32c7d_0|py38hfa32c7d_0|py36hfa32c7d_0|py36h75fe3a5_0|py37hfa32c7d_0|py36h75fe3a5_0|py36hfa32c7d_0|py39h2ae0177_0|py37h7d8b39e_0|py38h34387ca_0|py38hfae3a4d_0|py37h74d4b33_0|py39h74d4b33_0|py38h74d4b33_0|py38h39b7dee_0|py37h39b7dee_0|py37h2b8c604_0|py37h79a1101_0|py310h2b8c604_0|py310h79a1101_0|py39hb8be1f0_1|py310h9585f30_1|py37hb8be1f0_2|py38hb8be1f0_2|py310h9585f30_2|py39hf524024_2|py38hf524024_2|py37hf524024_2|py39hb8be1f0_2|py310hf2716ce_2|py310hf2716ce_1|py37hf524024_1|py38hf524024_1|py37hb8be1f0_1|py38hb8be1f0_1|py39hf524024_1|py38h2b8c604_0|py39h2b8c604_0|py39h79a1101_0|py38h79a1101_0|py39h39b7dee_0|py39hfae3a4d_0|py37he2ba247_0|py37hfae3a4d_0|py39he2ba247_0|py38he2ba247_0|py39h7d8b39e_0|py38h7d8b39e_0|py39h34387ca_0|py37h34387ca_0|py39h0f7b65f_0|py38hfa32c7d_0|py37h75fe3a5_0|py38h75fe3a5_0|py37h75fe3a5_0|py38h75fe3a5_0|py39hdc34a94_3|py38hdc34a94_3|py36hdc34a94_3|py37h41b4c56_3|py38h41b4c56_3|py39h41b4c56_3|py39hfb011de_1|py27hde5b4d6_0|py27h2f8d375_0|py37hde5b4d6_0|py36h2f8d375_0|py37hde5b4d6_0|py27hde5b4d6_0|py36h2f8d375_0|py36hde5b4d6_0|py27hde5b4d6_0|py37hde5b4d6_0|py37h2f8d375_0|py27h2f8d375_0|py27hde5b4d6_0|py36h2f8d375_0|py27h2f8d375_0|py36hde5b4d6_0|py27hde5b4d6_0|py37hde5b4d6_0|py37h2f8d375_0|py36hde5b4d6_1|py37hde5b4d6_1|py27h2f8d375_1|py27hde5b4d6_0|py37hde5b4d6_0|py27h2f8d375_0|py37h2f8d375_0|py36hde5b4d6_1|py37hde5b4d6_1|py27h2f8d375_1|py27hde5b4d6_0|py36h2f8d375_0|py37h2f8d375_0|py27h2f8d375_0|py37hde5b4d6_0|py27hde5b4d6_0|py27h81de0dd_0|py36h81de0dd_0|py36h81de0dd_0|py27h81de0dd_0|py37h2f8d375_0|py27h2f8d375_0|py37h2f8d375_1|py36h81de0dd_1|py27h2f8d375_1|py36h81de0dd_0|py36h2f8d375_0|py35h81de0dd_0|py27h81de0dd_0|py27h2f8d375_0|py37h2f8d375_0|py27h2f8d375_0|py35h81de0dd_0|py27h81de0dd_0|py36h81de0dd_0|py36h74e8950_0|py38hb8be1f0_0|py310hf2716ce_0|py310h9585f30_0|py39hf524024_0|py37h2f8d375_0|py35h3dfced4_0|py36h7cdd4dd_0|py37hde5b4d6_5|py27hde5b4d6_5|py36h2f8d375_5|py37h81de0dd_4|py35h81de0dd_4|py27h2f8d375_4|py36h2f8d375_4|py37h2f8d375_4|py35h2b20989_4|py36hdbf6ddf_4|py37h2b20989_4|py27hdbf6ddf_3|py27h2b20989_3|py37hdbf6ddf_3|py36h2b20989_2|py27h2b20989_1|py37hdbf6ddf_1|py27hdbf6ddf_1|py37h2b20989_1|py35hdbf6ddf_0|py35hdbf6ddf_0|py27h9be14a7_1|py36h9be14a7_1|py35h0ea5e3f_1|py27h0ea5e3f_1|py38hde5b4d6_12|py36hde5b4d6_12|py27hde5b4d6_11|py37hde5b4d6_11|py36hde5b4d6_11|py35h2f8d375_10|py36h81de0dd_10|py37h81de0dd_10|py36h74e8950_10|py37h74e8950_10|py35h81de0dd_9|py27h81de0dd_9|py37h74e8950_9|py35h74e8950_9|py27h3dfced4_9|py35h3dfced4_9|py37h3dfced4_9|py36h7cdd4dd_9|py35hdbf6ddf_8|py27hdbf6ddf_8|py37hdbf6ddf_8|py36h2b20989_8|py36hdbf6ddf_8|py36h2b20989_7|py27h2b20989_7|py37h2b20989_7']\n",
      "matplotlib-base -> numpy[version='>=1.19.2,<2.0a0'] -> numpy-base[version='1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.17.2.*|1.17.3.*|1.17.4.*|1.18.1.*|1.18.5.*|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.5|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.17.0|1.17.0|1.17.0|1.17.0|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|>=1.9.3,<2.0a0',build='py27h2b20989_6|py37hdbf6ddf_6|py27hdbf6ddf_6|py36hdbf6ddf_6|py27hdbf6ddf_7|py27h2b20989_7|py36hdbf6ddf_7|py35hdbf6ddf_7|py35h2b20989_7|py37hdbf6ddf_7|py27h2b20989_7|py27hdbf6ddf_7|py36hdbf6ddf_7|py37h2b20989_8|py27hdbf6ddf_8|py35h2b20989_8|py35h7cdd4dd_9|py27h7cdd4dd_9|py37h3dfced4_9|py37h81de0dd_9|py36h74e8950_9|py37h74e8950_10|py27h81de0dd_10|py37h2f8d375_10|py36h2f8d375_10|py27h2f8d375_10|py35h2f8d375_10|py37h2f8d375_11|py36h2f8d375_11|py37h2f8d375_12|py27h2f8d375_12|py36h2f8d375_12|py36hde5b4d6_12|py38h2f8d375_12|py36h0ea5e3f_1|py27h0ea5e3f_1|py36h9be14a7_1|py27h2b20989_0|py36h2b20989_0|py27hdbf6ddf_0|py36hdbf6ddf_0|py36h2b20989_0|py27h2b20989_0|py36hdbf6ddf_0|py27hdbf6ddf_0|py36h2b20989_1|py36hdbf6ddf_1|py37hdbf6ddf_1|py27h2b20989_2|py37h2b20989_2|py27hdbf6ddf_2|py37hdbf6ddf_2|py36hdbf6ddf_2|py36h2b20989_3|py37h2b20989_3|py36hdbf6ddf_3|py27h2b20989_3|py27h2b20989_4|py27hdbf6ddf_4|py37hdbf6ddf_4|py36h2b20989_4|py35hdbf6ddf_4|py35h2f8d375_4|py27h81de0dd_4|py36h81de0dd_4|py36h2f8d375_5|py37h2f8d375_5|py27h2f8d375_5|py36hde5b4d6_5|py27h7cdd4dd_0|py36h7cdd4dd_0|py35h7cdd4dd_0|py27h3dfced4_0|py36h3dfced4_0|py27h74e8950_0|py37h81de0dd_0|py35h2f8d375_0|py36h2f8d375_0|py35h2f8d375_0|py36h2f8d375_0|py36h2f8d375_1|py27h81de0dd_1|py37h2f8d375_1|py27h2f8d375_0|py36h2f8d375_0|py37h81de0dd_0|py36h2f8d375_0|py37h81de0dd_0|py36hde5b4d6_0|py36h2f8d375_0|py36hde5b4d6_0|py37h2f8d375_1|py36h2f8d375_1|py37hde5b4d6_1|py27hde5b4d6_1|py36hde5b4d6_1|py27h2f8d375_0|py36h2f8d375_0|py36hde5b4d6_0|py37h2f8d375_1|py36h2f8d375_1|py36hde5b4d6_1|py27h2f8d375_0|py27hde5b4d6_0|py36hde5b4d6_0|py36hde5b4d6_0|py36h2f8d375_0|py36hde5b4d6_0|py36h2f8d375_0|py27h2f8d375_0|py36hde5b4d6_0|py36hde5b4d6_0|py36hde5b4d6_0|py38h2f8d375_0|py39h76555f2_1|py36h41b4c56_3|py36hdc34a94_3|py37hdc34a94_3|py37hfa32c7d_0|py36hfa32c7d_0|py36h75fe3a5_0|py37h75fe3a5_0|py38hf524024_0|py39hb8be1f0_0|py310hf2716ce_0|py37hfa32c7d_0|py36h75fe3a5_0|py36hfa32c7d_0|py39h2ae0177_0|py37h7d8b39e_0|py38h34387ca_0|py38hfae3a4d_0|py37h74d4b33_0|py39h74d4b33_0|py38h74d4b33_0|py38h39b7dee_0|py37h39b7dee_0|py37h2b8c604_0|py37h79a1101_0|py310h2b8c604_0|py310h79a1101_0|py39hb8be1f0_1|py310h9585f30_1|py37hb8be1f0_2|py38hb8be1f0_2|py310h9585f30_2|py39hf524024_2|py38hf524024_2|py37hf524024_2|py39hb8be1f0_2|py310hf2716ce_2|py310hf2716ce_1|py37hf524024_1|py38hf524024_1|py37hb8be1f0_1|py38hb8be1f0_1|py39hf524024_1|py38h2b8c604_0|py39h2b8c604_0|py39h79a1101_0|py38h79a1101_0|py39h39b7dee_0|py39hfae3a4d_0|py37he2ba247_0|py37hfae3a4d_0|py39he2ba247_0|py38he2ba247_0|py39h7d8b39e_0|py38h7d8b39e_0|py39h34387ca_0|py37h34387ca_0|py39h0f7b65f_0|py38hfa32c7d_0|py37h75fe3a5_0|py38h75fe3a5_0|py38hb8be1f0_0|py310h9585f30_0|py39hf524024_0|py38hfa32c7d_0|py38h75fe3a5_0|py39hdc34a94_3|py38hdc34a94_3|py37h41b4c56_3|py38h41b4c56_3|py39h41b4c56_3|py39hfb011de_1|py27hde5b4d6_0|py27h2f8d375_0|py38hde5b4d6_0|py37h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      "numpy -> mkl_fft -> numpy-base[version='>=1.0.14,<2.0a0|>=1.0.6,<2.0a0|>=1.0.2,<2.0a0|>=1.0.4,<2.0a0']\n",
      "tensorflow-base -> numpy[version='>=1.20'] -> numpy-base[version='1.14.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.17.2.*|1.17.3.*|1.17.4.*|1.18.1.*|1.18.5.*|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.5|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.17.0|1.17.0|1.17.0|1.17.0',build='py36h0ea5e3f_1|py36h9be14a7_1|py35h9be14a7_1|py27h2b20989_0|py36h2b20989_0|py27hdbf6ddf_0|py36hdbf6ddf_0|py36h2b20989_0|py27h2b20989_0|py36hdbf6ddf_0|py27hdbf6ddf_0|py27h2b20989_1|py27hdbf6ddf_2|py37hdbf6ddf_2|py36hdbf6ddf_2|py36h2b20989_3|py37h2b20989_3|py37hdbf6ddf_3|py27h2b20989_4|py27hdbf6ddf_4|py37hdbf6ddf_4|py36h2b20989_4|py36hdbf6ddf_4|py35hdbf6ddf_4|py35h2f8d375_4|py27h81de0dd_4|py37h81de0dd_4|py36h81de0dd_4|py36h2f8d375_5|py27h2f8d375_5|py36hde5b4d6_5|py27h7cdd4dd_0|py37h7cdd4dd_0|py35h7cdd4dd_0|py27h3dfced4_0|py36h3dfced4_0|py35h3dfced4_0|py37h3dfced4_0|py27h74e8950_0|py37h81de0dd_0|py35h2f8d375_0|py36h2f8d375_0|py37h2f8d375_0|py37h81de0dd_0|py35h2f8d375_0|py36h2f8d375_0|py37h2f8d375_1|py36h2f8d375_0|py27h2f8d375_0|py37h81de0dd_0|py27hde5b4d6_0|py36hde5b4d6_0|py37hde5b4d6_0|py36h2f8d375_0|py36hde5b4d6_0|py36h2f8d375_1|py27hde5b4d6_1|py36h2f8d375_0|py36hde5b4d6_0|py27hde5b4d6_0|py36h2f8d375_1|py37hde5b4d6_1|py36hde5b4d6_1|py27hde5b4d6_1|py36h2f8d375_0|py27h2f8d375_0|py36hde5b4d6_0|py27h2f8d375_0|py36h2f8d375_0|py37hde5b4d6_0|py36hde5b4d6_0|py27h2f8d375_0|py36h2f8d375_0|py37hde5b4d6_0|py36hde5b4d6_0|py37h2f8d375_0|py37hde5b4d6_0|py36hde5b4d6_0|py36h2f8d375_0|py37hde5b4d6_0|py36hde5b4d6_0|py36h2f8d375_0|py36hde5b4d6_0|py38h2f8d375_0|py39h76555f2_1|py36h41b4c56_3|py36hdc34a94_3|py38hdc34a94_3|py37hdc34a94_3|py37hfa32c7d_0|py36h75fe3a5_0|py37hfa32c7d_0|py36h75fe3a5_0|py38hfa32c7d_0|py39h2ae0177_0|py39hf524024_0|py38hf524024_0|py310hf2716ce_0|py37h7d8b39e_0|py38h34387ca_0|py38hfae3a4d_0|py37h74d4b33_0|py39h74d4b33_0|py38h74d4b33_0|py38h39b7dee_0|py37h39b7dee_0|py37h2b8c604_0|py37h79a1101_0|py310h2b8c604_0|py310h79a1101_0|py39hb8be1f0_1|py310h9585f30_1|py37hb8be1f0_2|py38hb8be1f0_2|py310h9585f30_2|py39hf524024_2|py38hf524024_2|py37hf524024_2|py39hb8be1f0_2|py310hf2716ce_2|py310hf2716ce_1|py37hf524024_1|py38hf524024_1|py37hb8be1f0_1|py38hb8be1f0_1|py39hf524024_1|py38h2b8c604_0|py39h2b8c604_0|py39h79a1101_0|py38h79a1101_0|py39h39b7dee_0|py39hfae3a4d_0|py37he2ba247_0|py37hfae3a4d_0|py39he2ba247_0|py38he2ba247_0|py39h7d8b39e_0|py38h7d8b39e_0|py39h34387ca_0|py37h34387ca_0|py38hb8be1f0_0|py39hb8be1f0_0|py310h9585f30_0|py39h0f7b65f_0|py36hfa32c7d_0|py37h75fe3a5_0|py38h75fe3a5_0|py37h75fe3a5_0|py36hfa32c7d_0|py38hfa32c7d_0|py38h75fe3a5_0|py39hdc34a94_3|py37h41b4c56_3|py38h41b4c56_3|py39h41b4c56_3|py39hfb011de_1|py27hde5b4d6_0|py27h2f8d375_0|py38hde5b4d6_0|py37hde5b4d6_0|py37h2f8d375_0|py37h2f8d375_0|py27hde5b4d6_0|py27h2f8d375_0|py36h2f8d375_0|py27hde5b4d6_0|py37h2f8d375_0|py27hde5b4d6_0|py37h2f8d375_0|py27hde5b4d6_0|py37hde5b4d6_0|py37h2f8d375_0|py37h2f8d375_1|py27h2f8d375_1|py37hde5b4d6_0|py27h2f8d375_0|py37h2f8d375_0|py36hde5b4d6_1|py37hde5b4d6_1|py27h2f8d375_1|py37h2f8d375_1|py27hde5b4d6_0|py37h2f8d375_0|py27h2f8d375_0|py37hde5b4d6_0|py27h81de0dd_0|py36h81de0dd_0|py36h2f8d375_0|py37h2f8d375_0|py37h81de0dd_0|py36h81de0dd_0|py27h81de0dd_0|py37h2f8d375_0|py27h2f8d375_0|py37h81de0dd_1|py36h81de0dd_1|py27h81de0dd_1|py27h2f8d375_1|py36h2f8d375_1|py36h81de0dd_0|py35h81de0dd_0|py27h81de0dd_0|py27h2f8d375_0|py37h2f8d375_0|py27h2f8d375_0|py35h81de0dd_0|py27h81de0dd_0|py36h81de0dd_0|py37h74e8950_0|py36h74e8950_0|py35h74e8950_0|py36h7cdd4dd_0|py37hde5b4d6_5|py27hde5b4d6_5|py37h2f8d375_5|py38hde5b4d6_4|py38h2f8d375_4|py35h81de0dd_4|py27h2f8d375_4|py36h2f8d375_4|py37h2f8d375_4|py35h2b20989_4|py37h2b20989_4|py27hdbf6ddf_3|py27h2b20989_3|py36hdbf6ddf_3|py37h2b20989_2|py36h2b20989_2|py27h2b20989_2|py37hdbf6ddf_1|py36hdbf6ddf_1|py27hdbf6ddf_1|py37h2b20989_1|py36h2b20989_1|py35hdbf6ddf_0|py35hdbf6ddf_0|py35h2b20989_0|py27h9be14a7_1|py35h0ea5e3f_1|py27h0ea5e3f_1']\n",
      "numpy -> 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      "pyproj -> numpy -> 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      "networkx -> numpy[version='>=1.19'] -> numpy-base[version='1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.5|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3',build='py38hf524024_0|py39hb8be1f0_0|py37hfa32c7d_0|py38hfa32c7d_0|py36hfa32c7d_0|py36h75fe3a5_0|py37hfa32c7d_0|py36h75fe3a5_0|py36hfa32c7d_0|py39h2ae0177_0|py37h7d8b39e_0|py38h34387ca_0|py38hfae3a4d_0|py37h74d4b33_0|py39h74d4b33_0|py38h74d4b33_0|py38h39b7dee_0|py37h39b7dee_0|py37h2b8c604_0|py37h79a1101_0|py310h2b8c604_0|py310h79a1101_0|py39hb8be1f0_1|py310h9585f30_1|py37hb8be1f0_2|py38hb8be1f0_2|py310h9585f30_2|py39hf524024_2|py38hf524024_2|py37hf524024_2|py39hb8be1f0_2|py310hf2716ce_2|py310hf2716ce_1|py37hf524024_1|py38hf524024_1|py37hb8be1f0_1|py38hb8be1f0_1|py39hf524024_1|py38h2b8c604_0|py39h2b8c604_0|py39h79a1101_0|py38h79a1101_0|py39h39b7dee_0|py39hfae3a4d_0|py37he2ba247_0|py37hfae3a4d_0|py39he2ba247_0|py38he2ba247_0|py39h7d8b39e_0|py38h7d8b39e_0|py39h34387ca_0|py37h34387ca_0|py39h0f7b65f_0|py38hfa32c7d_0|py37h75fe3a5_0|py38h75fe3a5_0|py37h75fe3a5_0|py38h75fe3a5_0|py38hb8be1f0_0|py310hf2716ce_0|py310h9585f30_0|py39hf524024_0']\n",
      "pycocotools==2.0.2 -> numpy[version='>=1.18.5,<2.0a0'] -> numpy-base[version='1.18.5.*|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.5|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3',build='py38hf524024_0|py39hb8be1f0_0|py37hfa32c7d_0|py38hfa32c7d_0|py36hfa32c7d_0|py36h75fe3a5_0|py37hfa32c7d_0|py36h75fe3a5_0|py36hfa32c7d_0|py39h2ae0177_0|py37h7d8b39e_0|py38h34387ca_0|py38hfae3a4d_0|py37h74d4b33_0|py39h74d4b33_0|py38h74d4b33_0|py38h39b7dee_0|py37h39b7dee_0|py37h2b8c604_0|py37h79a1101_0|py310h2b8c604_0|py310h79a1101_0|py39hb8be1f0_1|py310h9585f30_1|py37hb8be1f0_2|py38hb8be1f0_2|py310h9585f30_2|py39hf524024_2|py38hf524024_2|py37hf524024_2|py39hb8be1f0_2|py310hf2716ce_2|py310hf2716ce_1|py37hf524024_1|py38hf524024_1|py37hb8be1f0_1|py38hb8be1f0_1|py39hf524024_1|py38h2b8c604_0|py39h2b8c604_0|py39h79a1101_0|py38h79a1101_0|py39h39b7dee_0|py39hfae3a4d_0|py37he2ba247_0|py37hfae3a4d_0|py39he2ba247_0|py38he2ba247_0|py39h7d8b39e_0|py38h7d8b39e_0|py39h34387ca_0|py37h34387ca_0|py39h0f7b65f_0|py38hfa32c7d_0|py37h75fe3a5_0|py38h75fe3a5_0|py37h75fe3a5_0|py38h75fe3a5_0|py38hb8be1f0_0|py310hf2716ce_0|py310h9585f30_0|py39hf524024_0']\n",
      "keras-preprocessing -> numpy[version='>=1.9.1'] -> numpy-base[version='1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.17.2.*|1.17.3.*|1.17.4.*|1.18.1.*|1.18.5.*|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.5|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|>=1.9.3,<2.0a0|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.17.0|1.17.0|1.17.0|1.17.0',build='py36h2f8d375_0|py36hde5b4d6_0|py39hf524024_0|py38hf524024_0|py39hb8be1f0_0|py27h2b20989_6|py37hdbf6ddf_6|py27hdbf6ddf_6|py36hdbf6ddf_6|py27hdbf6ddf_7|py27h2b20989_7|py35h2b20989_7|py27h2b20989_7|py27hdbf6ddf_7|py36hdbf6ddf_7|py37hdbf6ddf_7|py37h2b20989_8|py35h2b20989_8|py35h7cdd4dd_9|py27h7cdd4dd_9|py37h7cdd4dd_9|py36h3dfced4_9|py36h81de0dd_9|py37h81de0dd_9|py27h74e8950_9|py37h74e8950_9|py36h74e8950_9|py37h74e8950_10|py35h74e8950_10|py27h74e8950_10|py27h81de0dd_10|py37h2f8d375_10|py36h2f8d375_10|py27h2f8d375_10|py37h2f8d375_11|py36h2f8d375_11|py37h2f8d375_12|py27h2f8d375_12|py27hde5b4d6_12|py37hde5b4d6_12|py38h2f8d375_12|py36h0ea5e3f_1|py36h9be14a7_1|py35h9be14a7_1|py27h2b20989_0|py36h2b20989_0|py35h2b20989_0|py27hdbf6ddf_0|py36hdbf6ddf_0|py27h2b20989_0|py36hdbf6ddf_0|py27hdbf6ddf_0|py27hdbf6ddf_1|py36hdbf6ddf_1|py37hdbf6ddf_1|py27h2b20989_1|py27h2b20989_2|py37h2b20989_2|py27hdbf6ddf_2|py37hdbf6ddf_2|py36h2b20989_3|py37h2b20989_3|py36hdbf6ddf_3|py27hdbf6ddf_4|py37hdbf6ddf_4|py36h2b20989_4|py35hdbf6ddf_4|py35h2f8d375_4|py27h81de0dd_4|py35h81de0dd_4|py36h2f8d375_5|py27h2f8d375_5|py36hde5b4d6_5|py36h7cdd4dd_0|py37h7cdd4dd_0|py35h7cdd4dd_0|py27h3dfced4_0|py36h3dfced4_0|py35h74e8950_0|py27h74e8950_0|py37h74e8950_0|py37h81de0dd_0|py35h2f8d375_0|py36h2f8d375_0|py37h2f8d375_0|py37h81de0dd_0|py35h2f8d375_0|py36h2f8d375_1|py27h81de0dd_1|py37h81de0dd_1|py36h2f8d375_0|py37h81de0dd_0|py37h2f8d375_0|py36h2f8d375_0|py27h2f8d375_0|py37h81de0dd_0|py36hde5b4d6_0|py37hde5b4d6_0|py36hde5b4d6_0|py37h2f8d375_1|py36h2f8d375_1|py27hde5b4d6_1|py36h2f8d375_0|py36hde5b4d6_0|py37h2f8d375_1|py36h2f8d375_1|py27hde5b4d6_1|py36h2f8d375_0|py27h2f8d375_0|py37h2f8d375_0|py37hde5b4d6_0|py36hde5b4d6_0|py36h2f8d375_0|py27h2f8d375_0|py37h2f8d375_0|py36hde5b4d6_0|py37h2f8d375_0|py36hde5b4d6_0|py38h2f8d375_0|py38hde5b4d6_0|py39h76555f2_1|py36h41b4c56_3|py37hdc34a94_3|py37hfa32c7d_0|py38hfa32c7d_0|py36hfa32c7d_0|py36h75fe3a5_0|py37hfa32c7d_0|py36h75fe3a5_0|py36hfa32c7d_0|py39h2ae0177_0|py37h7d8b39e_0|py38h34387ca_0|py38hfae3a4d_0|py37h74d4b33_0|py39h74d4b33_0|py38h74d4b33_0|py38h39b7dee_0|py37h39b7dee_0|py37h2b8c604_0|py37h79a1101_0|py310h2b8c604_0|py310h79a1101_0|py39hb8be1f0_1|py310h9585f30_1|py37hb8be1f0_2|py38hb8be1f0_2|py310h9585f30_2|py39hf524024_2|py38hf524024_2|py37hf524024_2|py39hb8be1f0_2|py310hf2716ce_2|py310hf2716ce_1|py37hf524024_1|py38hf524024_1|py37hb8be1f0_1|py38hb8be1f0_1|py39hf524024_1|py38h2b8c604_0|py39h2b8c604_0|py39h79a1101_0|py38h79a1101_0|py39h39b7dee_0|py39hfae3a4d_0|py37he2ba247_0|py37hfae3a4d_0|py39he2ba247_0|py38he2ba247_0|py39h7d8b39e_0|py38h7d8b39e_0|py39h34387ca_0|py37h34387ca_0|py39h0f7b65f_0|py38hfa32c7d_0|py37h75fe3a5_0|py38h75fe3a5_0|py37h75fe3a5_0|py38h75fe3a5_0|py39hdc34a94_3|py38hdc34a94_3|py36hdc34a94_3|py37h41b4c56_3|py38h41b4c56_3|py39h41b4c56_3|py39hfb011de_1|py27hde5b4d6_0|py27h2f8d375_0|py37hde5b4d6_0|py36h2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      "bottleneck -> numpy[version='>=1.16.6,<2.0a0'] -> numpy-base[version='1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.17.2.*|1.17.3.*|1.17.4.*|1.18.1.*|1.18.5.*|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.5|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.17.0|1.17.0|1.17.0|1.17.0|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|>=1.9.3,<2.0a0',build='py27h2b20989_6|py37hdbf6ddf_6|py27hdbf6ddf_6|py36hdbf6ddf_6|py27hdbf6ddf_7|py27h2b20989_7|py36hdbf6ddf_7|py35h2b20989_7|py37hdbf6ddf_7|py37h2b20989_7|py27h2b20989_7|py27hdbf6ddf_7|py36hdbf6ddf_7|py36h2b20989_8|py37h2b20989_8|py27hdbf6ddf_8|py35h2b20989_8|py35h7cdd4dd_9|py27h7cdd4dd_9|py37h3dfced4_9|py27h3dfced4_9|py37h81de0dd_9|py27h74e8950_9|py37h74e8950_9|py36h74e8950_9|py35h81de0dd_9|py37h74e8950_10|py35h74e8950_10|py27h74e8950_10|py36h74e8950_10|py27h81de0dd_10|py35h81de0dd_10|py37h2f8d375_10|py27h2f8d375_10|py37h2f8d375_11|py36h2f8d375_11|py37h2f8d375_12|py27h2f8d375_12|py27hde5b4d6_12|py37hde5b4d6_12|py36hde5b4d6_12|py38h2f8d375_12|py36h0ea5e3f_1|py36h9be14a7_1|py27h9be14a7_1|py27h2b20989_0|py36h2b20989_0|py27hdbf6ddf_0|py36hdbf6ddf_0|py36h2b20989_0|py27h2b20989_0|py36hdbf6ddf_0|py27hdbf6ddf_0|py36h2b20989_1|py36hdbf6ddf_1|py37hdbf6ddf_1|py27h2b20989_1|py27hdbf6ddf_2|py36h2b20989_3|py37h2b20989_3|py36hdbf6ddf_3|py27h2b20989_3|py27h2b20989_4|py27hdbf6ddf_4|py37hdbf6ddf_4|py36h2b20989_4|py35hdbf6ddf_4|py35h2f8d375_4|py27h81de0dd_4|py36h2f8d375_4|py36h81de0dd_4|py36h2f8d375_5|py27h2f8d375_5|py36hde5b4d6_5|py27h7cdd4dd_0|py36h7cdd4dd_0|py37h7cdd4dd_0|py35h7cdd4dd_0|py27h3dfced4_0|py36h3dfced4_0|py37h3dfced4_0|py37h74e8950_0|py35h2f8d375_0|py37h2f8d375_0|py37h81de0dd_0|py35h2f8d375_0|py36h2f8d375_0|py36h2f8d375_1|py27h81de0dd_1|py36h2f8d375_0|py37h81de0dd_0|py36h2f8d375_0|py37h81de0dd_0|py37hde5b4d6_0|py37hde5b4d6_0|py36h2f8d375_0|py36hde5b4d6_0|py37h2f8d375_1|py36h2f8d375_1|py27hde5b4d6_1|py36h2f8d375_0|py36hde5b4d6_0|py37h2f8d375_1|py27hde5b4d6_1|py27h2f8d375_0|py36hde5b4d6_0|py36h2f8d375_0|py37hde5b4d6_0|py36hde5b4d6_0|py27h2f8d375_0|py37h2f8d375_0|py36hde5b4d6_0|py36h2f8d375_0|py36hde5b4d6_0|py36h2f8d375_0|py37h2f8d375_0|py36hde5b4d6_0|py39hf524024_0|py310h9585f30_0|py38hf524024_0|py37h2f8d375_0|py36hde5b4d6_0|py38h2f8d375_0|py38hde5b4d6_0|py39h76555f2_1|py36h41b4c56_3|py37hdc34a94_3|py37hfa32c7d_0|py38hfa32c7d_0|py36hfa32c7d_0|py36h75fe3a5_0|py37hfa32c7d_0|py36h75fe3a5_0|py36hfa32c7d_0|py39h2ae0177_0|py37h7d8b39e_0|py38h34387ca_0|py38hfae3a4d_0|py37h74d4b33_0|py39h74d4b33_0|py38h74d4b33_0|py38h39b7dee_0|py37h39b7dee_0|py37h2b8c604_0|py37h79a1101_0|py310h2b8c604_0|py310h79a1101_0|py39hb8be1f0_1|py310h9585f30_1|py37hb8be1f0_2|py38hb8be1f0_2|py310h9585f30_2|py39hf524024_2|py38hf524024_2|py37hf524024_2|py39hb8be1f0_2|py310hf2716ce_2|py310hf2716ce_1|py37hf524024_1|py38hf524024_1|py37hb8be1f0_1|py38hb8be1f0_1|py39hf524024_1|py38h2b8c604_0|py39h2b8c604_0|py39h79a1101_0|py38h79a1101_0|py39h39b7dee_0|py39hfae3a4d_0|py37he2ba247_0|py37hfae3a4d_0|py39he2ba247_0|py38he2ba247_0|py39h7d8b39e_0|py38h7d8b39e_0|py39h34387ca_0|py37h34387ca_0|py39h0f7b65f_0|py38hfa32c7d_0|py37h75fe3a5_0|py38h75fe3a5_0|py37h75fe3a5_0|py38h75fe3a5_0|py39hdc34a94_3|py38hdc34a94_3|py36hdc34a94_3|py37h41b4c56_3|py38h41b4c56_3|py39h41b4c56_3|py39hfb011de_1|py27hde5b4d6_0|py27h2f8d375_0|py37hde5b4d6_0|py36h2f8d375_0|py38hb8be1f0_0|py310hf2716ce_0|py39hb8be1f0_0|py37hde5b4d6_0|py37hde5b4d6_0|py27hde5b4d6_0|py37h2f8d375_0|py27h2f8d375_0|py27hde5b4d6_0|py37hde5b4d6_0|py36h2f8d375_0|py27hde5b4d6_0|py37h2f8d375_0|py27h2f8d375_0|py27hde5b4d6_0|py37hde5b4d6_0|py36h2f8d375_0|py37h2f8d375_0|py36hde5b4d6_1|py37hde5b4d6_1|py36h2f8d375_1|py27h2f8d375_1|py27hde5b4d6_0|py37hde5b4d6_0|py27h2f8d375_0|py37h2f8d375_0|py36hde5b4d6_1|py37hde5b4d6_1|py27h2f8d375_1|py27hde5b4d6_0|py37h2f8d375_0|py27h2f8d375_0|py36hde5b4d6_0|py27hde5b4d6_0|py27h81de0dd_0|py36h81de0dd_0|py27h2f8d375_0|py37h2f8d375_0|py36h81de0dd_0|py27h81de0dd_0|py37h2f8d375_0|py27h2f8d375_0|py37h2f8d375_1|py37h81de0dd_1|py36h81de0dd_1|py27h2f8d375_1|py36h81de0dd_0|py35h81de0dd_0|py27h81de0dd_0|py27h2f8d375_0|py37h2f8d375_0|py36h2f8d375_0|py27h2f8d375_0|py35h81de0dd_0|py37h81de0dd_0|py27h81de0dd_0|py36h81de0dd_0|py36h74e8950_0|py27h74e8950_0|py35h74e8950_0|py35h3dfced4_0|py37hde5b4d6_5|py27hde5b4d6_5|py37h2f8d375_5|py38hde5b4d6_4|py38h2f8d375_4|py37h81de0dd_4|py35h81de0dd_4|py27h2f8d375_4|py37h2f8d375_4|py35h2b20989_4|py36hdbf6ddf_4|py37h2b20989_4|py27hdbf6ddf_3|py37hdbf6ddf_3|py36hdbf6ddf_2|py37hdbf6ddf_2|py37h2b20989_2|py36h2b20989_2|py27h2b20989_2|py27hdbf6ddf_1|py37h2b20989_1|py35hdbf6ddf_0|py35hdbf6ddf_0|py35h2b20989_0|py35h9be14a7_1|py35h0ea5e3f_1|py27h0ea5e3f_1|py38hde5b4d6_12|py36h2f8d375_12|py27hde5b4d6_11|py37hde5b4d6_11|py36hde5b4d6_11|py27h2f8d375_11|py35h2f8d375_10|py36h2f8d375_10|py36h81de0dd_10|py37h81de0dd_10|py27h81de0dd_9|py35h74e8950_9|py36h81de0dd_9|py35h3dfced4_9|py36h3dfced4_9|py37h7cdd4dd_9|py36h7cdd4dd_9|py35hdbf6ddf_8|py27h2b20989_8|py37hdbf6ddf_8|py36hdbf6ddf_8|py37hdbf6ddf_7|py36h2b20989_7|py37h2b20989_7|py35hdbf6ddf_7|py36h2b20989_7|py37h2b20989_6|py36h2b20989_6']\n",
      "numexpr -> numpy[version='>=1.16.6,<2.0a0'] -> numpy-base[version='1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.17.2.*|1.17.3.*|1.17.4.*|1.18.1.*|1.18.5.*|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.5|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.17.0|1.17.0|1.17.0|1.17.0|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|>=1.9.3,<2.0a0',build='py27h2b20989_6|py37hdbf6ddf_6|py27hdbf6ddf_6|py36hdbf6ddf_6|py27hdbf6ddf_7|py27h2b20989_7|py36hdbf6ddf_7|py35h2b20989_7|py37hdbf6ddf_7|py37h2b20989_7|py27h2b20989_7|py27hdbf6ddf_7|py36hdbf6ddf_7|py36h2b20989_8|py37h2b20989_8|py27hdbf6ddf_8|py35h2b20989_8|py35h7cdd4dd_9|py27h7cdd4dd_9|py37h3dfced4_9|py27h3dfced4_9|py37h81de0dd_9|py27h74e8950_9|py37h74e8950_9|py36h74e8950_9|py35h81de0dd_9|py37h74e8950_10|py35h74e8950_10|py27h74e8950_10|py36h74e8950_10|py27h81de0dd_10|py35h81de0dd_10|py37h2f8d375_10|py27h2f8d375_10|py37h2f8d375_11|py36h2f8d375_11|py37h2f8d375_12|py27h2f8d375_12|py27hde5b4d6_12|py37hde5b4d6_12|py36hde5b4d6_12|py38h2f8d375_12|py36h0ea5e3f_1|py36h9be14a7_1|py27h9be14a7_1|py27h2b20989_0|py36h2b20989_0|py27hdbf6ddf_0|py36hdbf6ddf_0|py36h2b20989_0|py27h2b20989_0|py36hdbf6ddf_0|py27hdbf6ddf_0|py36h2b20989_1|py36hdbf6ddf_1|py37hdbf6ddf_1|py27h2b20989_1|py27hdbf6ddf_2|py36h2b20989_3|py37h2b20989_3|py36hdbf6ddf_3|py27h2b20989_3|py27h2b20989_4|py27hdbf6ddf_4|py37hdbf6ddf_4|py36h2b20989_4|py35hdbf6ddf_4|py35h2f8d375_4|py27h81de0dd_4|py36h2f8d375_4|py36h81de0dd_4|py36h2f8d375_5|py27h2f8d375_5|py36hde5b4d6_5|py27h7cdd4dd_0|py36h7cdd4dd_0|py37h7cdd4dd_0|py35h7cdd4dd_0|py27h3dfced4_0|py36h3dfced4_0|py37h3dfced4_0|py37h74e8950_0|py35h2f8d375_0|py37h2f8d375_0|py37h81de0dd_0|py35h2f8d375_0|py36h2f8d375_0|py36h2f8d375_1|py27h81de0dd_1|py36h2f8d375_0|py37h81de0dd_0|py36h2f8d375_0|py37h81de0dd_0|py37hde5b4d6_0|py37hde5b4d6_0|py36h2f8d375_0|py36hde5b4d6_0|py37h2f8d375_1|py36h2f8d375_1|py27hde5b4d6_1|py36h2f8d375_0|py36hde5b4d6_0|py37h2f8d375_1|py27hde5b4d6_1|py27h2f8d375_0|py36hde5b4d6_0|py36h2f8d375_0|py37hde5b4d6_0|py36hde5b4d6_0|py27h2f8d375_0|py37h2f8d375_0|py36hde5b4d6_0|py36h2f8d375_0|py36hde5b4d6_0|py36h2f8d375_0|py37h2f8d375_0|py36hde5b4d6_0|py39hf524024_0|py310h9585f30_0|py38hf524024_0|py37h2f8d375_0|py36hde5b4d6_0|py38h2f8d375_0|py38hde5b4d6_0|py39h76555f2_1|py36h41b4c56_3|py37hdc34a94_3|py37hfa32c7d_0|py38hfa32c7d_0|py36hfa32c7d_0|py36h75fe3a5_0|py37hfa32c7d_0|py36h75fe3a5_0|py36hfa32c7d_0|py39h2ae0177_0|py37h7d8b39e_0|py38h34387ca_0|py38hfae3a4d_0|py37h74d4b33_0|py39h74d4b33_0|py38h74d4b33_0|py38h39b7dee_0|py37h39b7dee_0|py37h2b8c604_0|py37h79a1101_0|py310h2b8c604_0|py310h79a1101_0|py39hb8be1f0_1|py310h9585f30_1|py37hb8be1f0_2|py38hb8be1f0_2|py310h9585f30_2|py39hf524024_2|py38hf524024_2|py37hf524024_2|py39hb8be1f0_2|py310hf2716ce_2|py310hf2716ce_1|py37hf524024_1|py38hf524024_1|py37hb8be1f0_1|py38hb8be1f0_1|py39hf524024_1|py38h2b8c604_0|py39h2b8c604_0|py39h79a1101_0|py38h79a1101_0|py39h39b7dee_0|py39hfae3a4d_0|py37he2ba247_0|py37hfae3a4d_0|py39he2ba247_0|py38he2ba247_0|py39h7d8b39e_0|py38h7d8b39e_0|py39h34387ca_0|py37h34387ca_0|py39h0f7b65f_0|py38hfa32c7d_0|py37h75fe3a5_0|py38h75fe3a5_0|py37h75fe3a5_0|py38h75fe3a5_0|py39hdc34a94_3|py38hdc34a94_3|py36hdc34a94_3|py37h41b4c56_3|py38h41b4c56_3|py39h41b4c56_3|py39hfb011de_1|py27hde5b4d6_0|py27h2f8d375_0|py37hde5b4d6_0|py36h2f8d375_0|py38hb8be1f0_0|py310hf2716ce_0|py39hb8be1f0_0|py37hde5b4d6_0|py37hde5b4d6_0|py27hde5b4d6_0|py37h2f8d375_0|py27h2f8d375_0|py27hde5b4d6_0|py37hde5b4d6_0|py36h2f8d375_0|py27hde5b4d6_0|py37h2f8d375_0|py27h2f8d375_0|py27hde5b4d6_0|py37hde5b4d6_0|py36h2f8d375_0|py37h2f8d375_0|py36hde5b4d6_1|py37hde5b4d6_1|py36h2f8d375_1|py27h2f8d375_1|py27hde5b4d6_0|py37hde5b4d6_0|py27h2f8d375_0|py37h2f8d375_0|py36hde5b4d6_1|py37hde5b4d6_1|py27h2f8d375_1|py27hde5b4d6_0|py37h2f8d375_0|py27h2f8d375_0|py36hde5b4d6_0|py27hde5b4d6_0|py27h81de0dd_0|py36h81de0dd_0|py27h2f8d375_0|py37h2f8d375_0|py36h81de0dd_0|py27h81de0dd_0|py37h2f8d375_0|py27h2f8d375_0|py37h2f8d375_1|py37h81de0dd_1|py36h81de0dd_1|py27h2f8d375_1|py36h81de0dd_0|py35h81de0dd_0|py27h81de0dd_0|py27h2f8d375_0|py37h2f8d375_0|py36h2f8d375_0|py27h2f8d375_0|py35h81de0dd_0|py37h81de0dd_0|py27h81de0dd_0|py36h81de0dd_0|py36h74e8950_0|py27h74e8950_0|py35h74e8950_0|py35h3dfced4_0|py37hde5b4d6_5|py27hde5b4d6_5|py37h2f8d375_5|py38hde5b4d6_4|py38h2f8d375_4|py37h81de0dd_4|py35h81de0dd_4|py27h2f8d375_4|py37h2f8d375_4|py35h2b20989_4|py36hdbf6ddf_4|py37h2b20989_4|py27hdbf6ddf_3|py37hdbf6ddf_3|py36hdbf6ddf_2|py37hdbf6ddf_2|py37h2b20989_2|py36h2b20989_2|py27h2b20989_2|py27hdbf6ddf_1|py37h2b20989_1|py35hdbf6ddf_0|py35hdbf6ddf_0|py35h2b20989_0|py35h9be14a7_1|py35h0ea5e3f_1|py27h0ea5e3f_1|py38hde5b4d6_12|py36h2f8d375_12|py27hde5b4d6_11|py37hde5b4d6_11|py36hde5b4d6_11|py27h2f8d375_11|py35h2f8d375_10|py36h2f8d375_10|py36h81de0dd_10|py37h81de0dd_10|py27h81de0dd_9|py35h74e8950_9|py36h81de0dd_9|py35h3dfced4_9|py36h3dfced4_9|py37h7cdd4dd_9|py36h7cdd4dd_9|py35hdbf6ddf_8|py27h2b20989_8|py37hdbf6ddf_8|py36hdbf6ddf_8|py37hdbf6ddf_7|py36h2b20989_7|py37h2b20989_7|py35hdbf6ddf_7|py36h2b20989_7|py37h2b20989_6|py36h2b20989_6']\n",
      "numexpr -> numpy-base[version='>=1.17.3,<2.0a0']\n",
      "\n",
      "Package mkl-include conflicts for:\n",
      "blas-devel -> mkl-devel=2022.0 -> mkl-include==2022.0.1[build='h06a4308_117|h8d4b97c_803']\n",
      "mkl-devel -> mkl-include[version='2017.0.4|2018.0.0|2018.0.1|2018.0.2|2018.0.3|2019.0|2019.0|2019.1|2019.3|2019.4|2020.0|2020.1|2020.2|2021.2.0|2021.3.0|2021.4.0|2022.0.1',build='hf7c01fb_0|1|118|144|243|166|h06a4308_640|h06a4308_117|h8d4b97c_803|h06a4308_520|h06a4308_296|256|217|199|117|1|hc7b2577_4|h15fc484_2']\n",
      "\n",
      "Package ipython conflicts for:\n",
      "jupyter-dash==0.4.0 -> ipykernel -> ipython[version='>=4.0.0|>=4.0|>=5.0|>=7.23.1|>=7.23.1,<8.0']\n",
      "ipykernel -> ipython[version='>=4.0.0|>=4.0|>=5.0|>=7.23.1|>=7.23.1,<8.0']\n",
      "jupyter-dash==0.4.0 -> ipython\n",
      "\n",
      "Package intel-openmp conflicts for:\n",
      "scipy -> mkl[version='>=2021.4.0,<2022.0a0'] -> intel-openmp[version='2021.*|2022.*']\n",
      "tensorflow-base -> mkl[version='>=2018.0.2'] -> intel-openmp[version='2021.*|2022.*']\n",
      "mkl-devel -> mkl==2022.0.1=h06a4308_117 -> intel-openmp[version='2021.*|2022.*']\n",
      "pytorch==1.5.0 -> mkl=2019 -> intel-openmp[version='2021.*|2022.*']\n",
      "mkl -> intel-openmp[version='2021.*|2022.*']\n",
      "numexpr -> mkl[version='>=2021.4.0,<2022.0a0'] -> intel-openmp[version='2021.*|2022.*']\n",
      "numpy -> mkl[version='>=2021.4.0,<2022.0a0'] -> intel-openmp[version='2021.*|2022.*']\n",
      "libblas -> mkl[version='>=2022.0.1,<2023.0a0'] -> intel-openmp=2022\n",
      "blas-devel -> mkl[version='>=2022.0.1,<2023.0a0'] -> intel-openmp=2022\n",
      "\n",
      "Package libpq conflicts for:\n",
      "libopencv -> qt=5.12 -> libpq[version='>=13.1,<14.0a0']\n",
      "qt -> libpq[version='>=13.1,<14.0a0']\n",
      "\n",
      "Package asn1crypto conflicts for:\n",
      "cryptography -> asn1crypto[version='>=0.21.0']\n",
      "urllib3 -> cryptography[version='>=1.3.4'] -> asn1crypto[version='>=0.21.0']\n",
      "pyopenssl -> cryptography[version='>=2.8'] -> asn1crypto[version='>=0.21.0']\n",
      "\n",
      "Package libclang conflicts for:\n",
      "qt -> libclang[version='>=11.0.1,<12.0a0']\n",
      "libopencv -> qt=5.12 -> libclang[version='>=11.0.1,<12.0a0']\n",
      "\n",
      "Package libedit conflicts for:\n",
      "python~=3.7 -> sqlite[version='>=3.33.0,<4.0a0'] -> libedit[version='>=3.1.20170329,<3.2.0a0|>=3.1.20181209,<3.2.0a0|>=3.1.20191231,<3.2.0a0']\n",
      "nss -> sqlite[version='>=3.31.1,<4.0a0'] -> libedit[version='>=3.1.20181209,<3.2.0a0|>=3.1.20191231,<3.2.0a0']\n",
      "libpq -> krb5[version='>=1.19.2,<1.20.0a0'] -> libedit[version='>=3.1,<4.0a0|>=3.1.20170329,<3.2.0a0|>=3.1.20181209,<3.2.0a0|>=3.1.20191231,<3.2.0a0|>=3.1.20210216,<3.2.0a0|>=3.1.20210216,<4.0a0|>=3.1.20191231,<4.0a0|>=3.1.20181209,<4.0a0|>=3.1.20170329,<4.0a0']\n",
      "qt -> sqlite[version='>=3.25.3,<4.0a0'] -> libedit[version='>=3.1.20170329,<3.2.0a0|>=3.1.20181209,<3.2.0a0|>=3.1.20191231,<3.2.0a0']\n",
      "sqlite -> libedit[version='>=3.1.20170329,<3.2.0a0|>=3.1.20181209,<3.2.0a0|>=3.1.20191231,<3.2.0a0']\n",
      "libcurl -> krb5[version='>=1.19.2,<1.20.0a0'] -> libedit[version='>=3.1.20170329,<3.2.0a0|>=3.1.20181209,<3.2.0a0|>=3.1.20191231,<3.2.0a0|>=3.1.20210216,<3.2.0a0|>=3.1.20210216,<4.0a0|>=3.1.20191231,<4.0a0|>=3.1.20181209,<4.0a0|>=3.1.20170329,<4.0a0']\n",
      "krb5 -> libedit[version='>=3.1,<4.0a0|>=3.1.20170329,<3.2.0a0|>=3.1.20181209,<3.2.0a0|>=3.1.20191231,<3.2.0a0|>=3.1.20210216,<3.2.0a0|>=3.1.20210216,<4.0a0|>=3.1.20191231,<4.0a0|>=3.1.20181209,<4.0a0|>=3.1.20170329,<4.0a0']\n",
      "tensorflow-base -> sqlite[version='>=3.33.0,<4.0a0'] -> libedit[version='>=3.1.20191231,<3.2.0a0']\n",
      "\n",
      "Package cryptography conflicts for:\n",
      "requests -> urllib3[version='>=1.21.1,<1.27'] -> cryptography[version='>=1.3.4']\n",
      "urllib3 -> cryptography[version='>=1.3.4']\n",
      "pyopenssl -> cryptography[version='>=1.9|>=2.1.4|>=2.2.1|>=2.8|>=3.3|>=35.0']\n",
      "urllib3 -> pyopenssl[version='>=0.14'] -> cryptography[version='>=1.9|>=2.1.4|>=2.2.1|>=2.8|>=3.3|>=35.0']\n",
      "tensorboard -> google-auth-oauthlib[version='>=0.4.1'] -> cryptography[version='>=3.2']\n",
      "\n",
      "Package keras-applications conflicts for:\n",
      "tensorflow-estimator -> tensorflow-base[version='>=2.1.0,<2.2.0a0'] -> keras-applications[version='>=1.0.6|>=1.0.8|>=1.0.8,<2.0a0']\n",
      "tensorflow==1.14.0 -> tensorflow-base==1.14.0=gpu_py36he45bfe2_0 -> keras-applications[version='>=1.0.6']\n",
      "tensorflow-base -> keras-applications[version='>=1.0.5|>=1.0.6|>=1.0.8|>=1.0.8,<2.0a0']\n",
      "\n",
      "Package backcall conflicts for:\n",
      "ipykernel -> ipython[version='>=7.23.1'] -> backcall\n",
      "ipython -> backcall\n",
      "jupyter-dash==0.4.0 -> ipython -> backcall\n",
      "\n",
      "Package backports.functools_lru_cache conflicts for:\n",
      "seaborn -> matplotlib[version='>=2.2'] -> backports.functools_lru_cache\n",
      "wcwidth -> backports.functools_lru_cache\n",
      "prompt-toolkit -> wcwidth -> backports.functools_lru_cache\n",
      "basemap==1.2.0 -> matplotlib[version='>=1.0.0'] -> backports.functools_lru_cache\n",
      "\n",
      "Package singledispatch conflicts for:\n",
      "jupyter_client -> tornado[version='>=4.1'] -> singledispatch\n",
      "ipykernel -> tornado[version='>=4.2,<7.0'] -> singledispatch\n",
      "matplotlib-base -> tornado -> singledispatch\n",
      "tornado -> singledispatch\n",
      "\n",
      "Package libglib conflicts for:\n",
      "gstreamer -> libglib[version='>=2.70.2,<3.0a0']\n",
      "harfbuzz -> cairo[version='>=1.14.12,<2.0a0'] -> libglib[version='>=2.68.0,<3.0a0']\n",
      "pango -> libglib[version='>=2.64.6,<3.0a0']\n",
      "dbus -> libglib[version='>=2.70.2,<3.0a0']\n",
      "libopencv -> harfbuzz[version='>=2.4.0,<3.0a0'] -> libglib[version='>=2.66.7,<3.0a0|>=2.68.4,<3.0a0']\n",
      "pango -> cairo[version='>=1.14.12,<2.0a0'] -> libglib[version='>=2.68.0,<3.0a0|>=2.68.4,<3.0a0']\n",
      "qt -> libglib[version='>=2.66.7,<3.0a0']\n",
      "graphviz==2.40.1 -> cairo[version='>=1.14.12,<2.0a0'] -> libglib[version='>=2.64.6,<3.0a0|>=2.68.0,<3.0a0']\n",
      "harfbuzz -> libglib[version='>=2.68.4,<3.0a0']\n",
      "qt -> dbus[version='>=1.13.2,<2.0a0'] -> libglib[version='>=2.70.2,<3.0a0']\n",
      "cairo -> libglib[version='>=2.68.0,<3.0a0']\n",
      "gst-plugins-base -> libglib[version='>=2.70.2,<3.0a0']\n",
      "\n",
      "Package typing_extensions conflicts for:\n",
      "tensorflow-estimator -> tensorflow-base[version='>=2.4.1,<2.5.0a0'] -> typing_extensions\n",
      "click -> importlib-metadata -> typing_extensions[version='>=3.6.4']\n",
      "matplotlib-base -> kiwisolver[version='>=1.0.1'] -> typing_extensions\n",
      "importlib-metadata -> typing_extensions[version='>=3.6.4']\n",
      "flask -> importlib-metadata[version='>=3.6.0'] -> typing_extensions[version='>=3.6.4']\n",
      "typing-extensions -> typing_extensions[version='3.10.0.0|3.10.0.2|4.1.1|3.7.4.3|3.7.4.3|3.7.4.2|3.7.4.1|3.7.4|4.2.0',build='py_0|py_0|pyh06a4308_0|py38_0|py36_0|pyha770c72_1']\n",
      "markdown -> importlib-metadata -> typing_extensions[version='>=3.6.4']\n",
      "ansi2html -> importlib-metadata -> typing_extensions[version='>=3.6.4']\n",
      "kiwisolver -> typing-extensions -> typing_extensions[version='3.10.0.0|3.10.0.2|4.1.1|3.7.4.3|3.7.4.3|3.7.4.2|3.7.4.1|3.7.4|4.2.0',build='py_0|py_0|pyh06a4308_0|py38_0|py36_0|pyha770c72_1']\n",
      "kiwisolver -> typing_extensions\n",
      "ipykernel -> importlib-metadata[version='<5'] -> typing_extensions[version='>=3.6.4']\n",
      "tensorflow-base -> typing_extensions[version='>=3.7.4']\n",
      "\n",
      "Package krb5 conflicts for:\n",
      "tensorflow-base -> libcurl[version='>=7.78.0,<8.0a0'] -> krb5[version='>=1.18.2,<1.19.0a0|>=1.19.1,<1.20.0a0|>=1.19.2,<1.20.0a0|>=1.19.3,<1.20.0a0']\n",
      "libcurl -> krb5[version='>=1.16.1,<1.17.0a0|>=1.17.1,<1.18.0a0|>=1.18.2,<1.19.0a0|>=1.19.1,<1.20.0a0|>=1.19.2,<1.20.0a0|>=1.19.3,<1.20.0a0']\n",
      "libpq -> krb5[version='>=1.14.2,<1.15.0a0|>=1.16,<1.17.0a0|>=1.16.1,<1.17.0a0|>=1.17.1,<1.18.0a0|>=1.19.1,<1.20.0a0|>=1.19.2,<1.20.0a0']\n",
      "tensorflow==1.14.0 -> libcurl[version='>=7.71.1,<8.0a0'] -> krb5[version='>=1.18.2,<1.19.0a0|>=1.19.1,<1.20.0a0|>=1.19.2,<1.20.0a0|>=1.19.3,<1.20.0a0']\n",
      "hdf5 -> libcurl[version='>=7.78.0,<8.0a0'] -> krb5[version='>=1.19.2,<1.20.0a0|>=1.19.3,<1.20.0a0']\n",
      "qt -> libpq[version='>=13.1,<14.0a0'] -> krb5[version='>=1.19.2,<1.20.0a0']\n",
      "\n",
      "Package imagecodecs-lite conflicts for:\n",
      "scikit-image==0.17.2 -> tifffile[version='>=2019.7.26'] -> imagecodecs-lite[version='>=2019.4.20']\n",
      "tifffile -> imagecodecs-lite[version='>=2019.4.20']\n",
      "\n",
      "Package mkl conflicts for:\n",
      "keras-applications -> numpy[version='>=1.9.1'] -> mkl[version='>=2018.0.0,<2019.0a0|>=2018.0.0|>=2018.0.1|>=2018.0.2|>=2018.0.3|>=2019.1,<2020.0a0|>=2019.3,<2020.0a0|>=2019.4,<2020.0a0|>=2021.2.0,<2022.0a0|>=2021.3.0,<2022.0a0|>=2021.4.0,<2022.0a0|>=2019.4,<2021.0a0|>=2019.3,<2021.0a0|>=2019.1,<2021.0a0|>=2018.0.3,<2019.0a0|>=2018.0.2,<2019.0a0|>=2018.0.1,<2019.0a0']\n",
      "pycocotools==2.0.2 -> numpy[version='>=1.18.5,<2.0a0'] -> mkl[version='>=2019.4,<2020.0a0|>=2021.2.0,<2022.0a0|>=2021.3.0,<2022.0a0|>=2021.4.0,<2022.0a0|>=2019.4,<2021.0a0']\n",
      "libcblas -> libblas==3.9.0=14_linux64_mkl -> mkl[version='>=2022.0.1,<2023.0a0']\n",
      "libblas -> mkl[version='>=2022.0.1,<2023.0a0']\n",
      "pandas -> numexpr[version='>=2.7.1'] -> mkl[version='>=2018.0.0,<2019.0a0|>=2018.0.0|>=2018.0.1|>=2018.0.2|>=2018.0.3,<2019.0a0|>=2018.0.3|>=2019.1,<2020.0a0|>=2019.4,<2020.0a0|>=2021.2.0,<2022.0a0|>=2021.4.0,<2022.0a0|>=2019.4,<2021.0a0|>=2021.3.0,<2022.0a0|>=2019.1,<2021.0a0|>=2019.3,<2020.0a0|>=2019.3,<2021.0a0|>=2018.0.2,<2019.0a0|>=2018.0.1,<2019.0a0']\n",
      "networkx -> numpy[version='>=1.19'] -> mkl[version='>=2019.4,<2020.0a0|>=2021.2.0,<2022.0a0|>=2021.3.0,<2022.0a0|>=2021.4.0,<2022.0a0|>=2019.4,<2021.0a0']\n",
      "h5py -> numpy[version='>=1.21.2,<2.0a0'] -> mkl[version='>=2018.0.0,<2019.0a0|>=2018.0.0|>=2018.0.1|>=2018.0.2|>=2018.0.3,<2019.0a0|>=2018.0.3|>=2019.1,<2020.0a0|>=2019.3,<2020.0a0|>=2019.4,<2020.0a0|>=2021.2.0,<2022.0a0|>=2021.3.0,<2022.0a0|>=2021.4.0,<2022.0a0|>=2019.4,<2021.0a0|>=2019.3,<2021.0a0|>=2019.1,<2021.0a0|>=2018.0.2,<2019.0a0|>=2018.0.1,<2019.0a0']\n",
      "keras-preprocessing -> numpy[version='>=1.9.1'] -> mkl[version='>=2018.0.0,<2019.0a0|>=2018.0.0|>=2018.0.1|>=2018.0.2|>=2018.0.3|>=2019.1,<2020.0a0|>=2019.3,<2020.0a0|>=2019.4,<2020.0a0|>=2021.2.0,<2022.0a0|>=2021.3.0,<2022.0a0|>=2021.4.0,<2022.0a0|>=2019.4,<2021.0a0|>=2019.3,<2021.0a0|>=2019.1,<2021.0a0|>=2018.0.3,<2019.0a0|>=2018.0.2,<2019.0a0|>=2018.0.1,<2019.0a0']\n",
      "pytorch==1.5.0 -> mkl[version='2019.*|>=2019.4,<2020.0a0|>=2019.4,<2021.0a0|>=2018']\n",
      "mkl-devel -> mkl[version='2017.0.4|2018.0.0|2018.0.1|2018.0.2|2018.0.3|2019.0|2019.0|2019.1|2019.3|2019.4|2020.0|2020.1|2020.2|2021.2.0|2021.3.0|2021.4.0|2022.0.1',build='h4c4d0af_0|hb491cac_4|1|118|144|243|166|h06a4308_640|h06a4308_117|h8d4b97c_803|h06a4308_520|h06a4308_296|256|217|199|117|1|h19d6760_4']\n",
      "imageio -> numpy -> mkl[version='>=2018.0.0,<2019.0a0|>=2018.0.0|>=2018.0.1|>=2018.0.2|>=2018.0.3|>=2019.1,<2020.0a0|>=2019.3,<2020.0a0|>=2019.4,<2020.0a0|>=2021.2.0,<2022.0a0|>=2021.3.0,<2022.0a0|>=2021.4.0,<2022.0a0|>=2019.4,<2021.0a0|>=2019.3,<2021.0a0|>=2019.1,<2021.0a0|>=2018.0.3,<2019.0a0|>=2018.0.2,<2019.0a0|>=2018.0.1,<2019.0a0']\n",
      "tensorboard -> numpy[version='>=1.12.0'] -> mkl[version='>=2018.0.0,<2019.0a0|>=2018.0.0|>=2018.0.1|>=2018.0.2|>=2018.0.3|>=2019.1,<2020.0a0|>=2019.3,<2020.0a0|>=2019.4,<2020.0a0|>=2021.2.0,<2022.0a0|>=2021.3.0,<2022.0a0|>=2021.4.0,<2022.0a0|>=2019.4,<2021.0a0|>=2019.3,<2021.0a0|>=2019.1,<2021.0a0|>=2018.0.3,<2019.0a0|>=2018.0.2,<2019.0a0|>=2018.0.1,<2019.0a0']\n",
      "numpy -> mkl[version='>=2018.0.0,<2019.0a0|>=2018.0.0|>=2018.0.1|>=2018.0.2|>=2018.0.3|>=2019.1,<2020.0a0|>=2019.3,<2020.0a0|>=2019.4,<2020.0a0|>=2021.2.0,<2022.0a0|>=2021.3.0,<2022.0a0|>=2021.4.0,<2022.0a0|>=2019.4,<2021.0a0|>=2019.3,<2021.0a0|>=2019.1,<2021.0a0|>=2018.0.3,<2019.0a0|>=2018.0.2,<2019.0a0|>=2018.0.1,<2019.0a0']\n",
      "pyproj -> numpy -> mkl[version='>=2018.0.0,<2019.0a0|>=2018.0.0|>=2018.0.1|>=2018.0.2|>=2018.0.3|>=2019.1,<2020.0a0|>=2019.3,<2020.0a0|>=2019.4,<2020.0a0|>=2021.2.0,<2022.0a0|>=2021.3.0,<2022.0a0|>=2021.4.0,<2022.0a0|>=2019.4,<2021.0a0|>=2019.3,<2021.0a0|>=2019.1,<2021.0a0|>=2018.0.3,<2019.0a0|>=2018.0.2,<2019.0a0|>=2018.0.1,<2019.0a0']\n",
      "scipy -> mkl[version='>=2018.0.0,<2019.0a0|>=2018.0.0|>=2018.0.2|>=2018.0.3|>=2019.1,<2020.0a0|>=2019.4,<2020.0a0|>=2021.2.0,<2022.0a0|>=2021.3.0,<2022.0a0|>=2021.4.0,<2022.0a0|>=2019.4,<2021.0a0|>=2019.1,<2021.0a0|>=2018.0.3,<2019.0a0|>=2018.0.2,<2019.0a0']\n",
      "blas -> blas-devel==3.9.0=14_linux64_mkl -> mkl[version='>=2022.0.1,<2023.0a0']\n",
      "tensorflow-base -> numpy[version='>=1.20'] -> mkl[version='>=2018.0.0,<2019.0a0|>=2018.0.0|>=2018.0.1|>=2018.0.3,<2019.0a0|>=2018.0.3|>=2019.1,<2020.0a0|>=2019.4,<2020.0a0|>=2021.2.0,<2022.0a0|>=2021.3.0,<2022.0a0|>=2021.4.0,<2022.0a0|>=2019.4,<2021.0a0|>=2019.1,<2021.0a0|>=2019.3,<2020.0a0|>=2019.3,<2021.0a0|>=2018.0.1,<2019.0a0']\n",
      "numexpr -> mkl[version='>=2018.0.0,<2019.0a0|>=2018.0.0|>=2018.0.1|>=2018.0.2|>=2018.0.3|>=2019.1,<2020.0a0|>=2019.4,<2020.0a0|>=2021.2.0,<2022.0a0|>=2021.4.0,<2022.0a0|>=2019.4,<2021.0a0|>=2019.1,<2021.0a0|>=2018.0.3,<2019.0a0|>=2018.0.2,<2019.0a0|>=2018.0.1,<2019.0a0']\n",
      "liblapacke -> libblas==3.9.0=14_linux64_mkl -> mkl[version='>=2022.0.1,<2023.0a0']\n",
      "scikit-image==0.17.2 -> numpy[version='>=1.16.6,<2.0a0'] -> mkl[version='>=2018.0.0,<2019.0a0|>=2018.0.0|>=2018.0.2|>=2018.0.3|>=2019.1,<2020.0a0|>=2019.4,<2020.0a0|>=2021.2.0,<2022.0a0|>=2021.3.0,<2022.0a0|>=2021.4.0,<2022.0a0|>=2019.4,<2021.0a0|>=2019.1,<2021.0a0|>=2018.0.3,<2019.0a0|>=2018.0.2,<2019.0a0']\n",
      "tifffile -> numpy[version='>=1.15.1'] -> mkl[version='>=2018.0.0,<2019.0a0|>=2018.0.0|>=2018.0.1|>=2018.0.2|>=2018.0.3,<2019.0a0|>=2018.0.3|>=2019.1,<2020.0a0|>=2019.3,<2020.0a0|>=2019.4,<2020.0a0|>=2021.2.0,<2022.0a0|>=2021.3.0,<2022.0a0|>=2021.4.0,<2022.0a0|>=2019.4,<2021.0a0|>=2019.3,<2021.0a0|>=2019.1,<2021.0a0|>=2018.0.2,<2019.0a0|>=2018.0.1,<2019.0a0']\n",
      "scipy -> mkl-service[version='>=2,<3.0a0'] -> mkl[version='>=2018.0.1,<2019.0a0|>=2018.0.1|>=2019.3,<2020.0a0|>=2019.3,<2021.0a0|>=2022.0.1,<2023.0a0']\n",
      "bottleneck -> numpy[version='>=1.16.6,<2.0a0'] -> mkl[version='>=2018.0.0,<2019.0a0|>=2018.0.0|>=2018.0.1|>=2018.0.2|>=2018.0.3,<2019.0a0|>=2018.0.3|>=2019.1,<2020.0a0|>=2019.3,<2020.0a0|>=2019.4,<2020.0a0|>=2021.2.0,<2022.0a0|>=2021.3.0,<2022.0a0|>=2021.4.0,<2022.0a0|>=2019.4,<2021.0a0|>=2019.3,<2021.0a0|>=2019.1,<2021.0a0|>=2018.0.2,<2019.0a0|>=2018.0.1,<2019.0a0']\n",
      "seaborn -> numpy[version='>=1.15'] -> mkl[version='>=2018.0.0,<2019.0a0|>=2018.0.0|>=2018.0.2|>=2018.0.3,<2019.0a0|>=2018.0.3|>=2019.1,<2020.0a0|>=2019.3,<2020.0a0|>=2019.4,<2020.0a0|>=2021.2.0,<2022.0a0|>=2021.3.0,<2022.0a0|>=2021.4.0,<2022.0a0|>=2019.4,<2021.0a0|>=2019.3,<2021.0a0|>=2019.1,<2021.0a0|>=2018.0.2,<2019.0a0|>=2018.0.1|>=2018.0.1,<2019.0a0']\n",
      "numexpr -> numpy[version='>=1.16.6,<2.0a0'] -> mkl[version='>=2019.3,<2020.0a0|>=2021.3.0,<2022.0a0|>=2019.3,<2021.0a0']\n",
      "liblapack -> libblas==3.9.0=14_linux64_mkl -> mkl[version='>=2022.0.1,<2023.0a0']\n",
      "numpy -> mkl_random -> mkl[version='>=2020.1,<2021.0a0|>=2022.0.1,<2023.0a0']\n",
      "tensorflow-base -> mkl[version='>=2018.0.2|>=2018.0.2,<2019.0a0']\n",
      "imutils==0.5.4 -> numpy -> mkl[version='>=2018.0.0,<2019.0a0|>=2018.0.0|>=2018.0.1|>=2018.0.2|>=2018.0.3|>=2019.1,<2020.0a0|>=2019.3,<2020.0a0|>=2019.4,<2020.0a0|>=2021.2.0,<2022.0a0|>=2021.3.0,<2022.0a0|>=2021.4.0,<2022.0a0|>=2019.4,<2021.0a0|>=2019.3,<2021.0a0|>=2019.1,<2021.0a0|>=2018.0.3,<2019.0a0|>=2018.0.2,<2019.0a0|>=2018.0.1,<2019.0a0']\n",
      "pywavelets -> numpy[version='>=1.21.2,<2.0a0'] -> mkl[version='>=2018.0.0,<2019.0a0|>=2018.0.0|>=2018.0.1|>=2018.0.2|>=2018.0.3,<2019.0a0|>=2018.0.3|>=2019.1,<2020.0a0|>=2019.3,<2020.0a0|>=2019.4,<2020.0a0|>=2021.2.0,<2022.0a0|>=2021.3.0,<2022.0a0|>=2021.4.0,<2022.0a0|>=2019.4,<2021.0a0|>=2019.3,<2021.0a0|>=2019.1,<2021.0a0|>=2018.0.2,<2019.0a0|>=2018.0.1,<2019.0a0']\n",
      "tensorflow-estimator -> numpy[version='>=1.16.1'] -> mkl[version='>=2018.0.0,<2019.0a0|>=2018.0.0|>=2018.0.1|>=2018.0.2|>=2018.0.3|>=2019.1,<2020.0a0|>=2019.3,<2020.0a0|>=2019.4,<2020.0a0|>=2021.2.0,<2022.0a0|>=2021.3.0,<2022.0a0|>=2021.4.0,<2022.0a0|>=2019.4,<2021.0a0|>=2019.3,<2021.0a0|>=2019.1,<2021.0a0|>=2018.0.3,<2019.0a0|>=2018.0.2,<2019.0a0|>=2018.0.1,<2019.0a0']\n",
      "pytorch==1.5.0 -> mkl-service[version='>=2,<3.0a0'] -> mkl[version='>=2018.0.0,<2019.0a0|>=2018.0.0|>=2018.0.1|>=2018.0.2|>=2018.0.3|>=2019.1,<2020.0a0|>=2019.3,<2020.0a0|>=2021.2.0,<2022.0a0|>=2021.4.0,<2022.0a0|>=2019.3,<2021.0a0|>=2021.3.0,<2022.0a0|>=2019.1,<2021.0a0|>=2018.0.3,<2019.0a0|>=2018.0.2,<2019.0a0|>=2018.0.1,<2019.0a0']\n",
      "matplotlib-base -> numpy[version='>=1.19.2,<2.0a0'] -> mkl[version='>=2018.0.0,<2019.0a0|>=2018.0.0|>=2018.0.1|>=2018.0.2|>=2018.0.3|>=2019.1,<2020.0a0|>=2019.3,<2020.0a0|>=2019.4,<2020.0a0|>=2021.2.0,<2022.0a0|>=2021.3.0,<2022.0a0|>=2021.4.0,<2022.0a0|>=2019.4,<2021.0a0|>=2019.3,<2021.0a0|>=2019.1,<2021.0a0|>=2018.0.3,<2019.0a0|>=2018.0.2,<2019.0a0|>=2018.0.1,<2019.0a0']\n",
      "py-opencv -> numpy[version='>=1.11.3,<2.0a0'] -> mkl[version='>=2018.0.0,<2019.0a0|>=2018.0.0|>=2018.0.1|>=2018.0.2|>=2018.0.3|>=2019.1,<2020.0a0|>=2019.3,<2020.0a0|>=2019.4,<2020.0a0|>=2021.2.0,<2022.0a0|>=2021.3.0,<2022.0a0|>=2021.4.0,<2022.0a0|>=2019.4,<2021.0a0|>=2019.3,<2021.0a0|>=2019.1,<2021.0a0|>=2018.0.3,<2019.0a0|>=2018.0.2,<2019.0a0|>=2018.0.1,<2019.0a0']\n",
      "imagecodecs-lite -> numpy[version='>=1.19.5,<2.0a0'] -> mkl[version='>=2021.2.0,<2022.0a0|>=2021.3.0,<2022.0a0|>=2021.4.0,<2022.0a0']\n",
      "basemap==1.2.0 -> numpy[version='>=1.14.6,<2.0a0'] -> mkl[version='>=2018.0.0,<2019.0a0|>=2018.0.0|>=2018.0.1|>=2018.0.2|>=2018.0.3,<2019.0a0|>=2018.0.3|>=2019.1,<2020.0a0|>=2019.3,<2020.0a0|>=2019.4,<2020.0a0|>=2021.2.0,<2022.0a0|>=2021.3.0,<2022.0a0|>=2021.4.0,<2022.0a0|>=2019.4,<2021.0a0|>=2019.3,<2021.0a0|>=2019.1,<2021.0a0|>=2018.0.2,<2019.0a0|>=2018.0.1,<2019.0a0']\n",
      "blas-devel -> mkl[version='>=2022.0.1,<2023.0a0']\n",
      "blas-devel -> mkl-devel=2022.0 -> mkl==2022.0.1[build='h06a4308_117|h8d4b97c_803']\n",
      "\n",
      "Package xorg-libx11 conflicts for:\n",
      "xorg-libxrender -> xorg-libx11[version='>=1.7.0,<2.0a0']\n",
      "cairo -> xorg-libx11\n",
      "cairo -> xorg-libxext -> xorg-libx11[version='>=1.7.0,<2.0a0']\n",
      "xorg-libxpm -> xorg-libx11[version='>=1.7.0,<2.0a0']\n",
      "graphviz==2.40.1 -> cairo[version='>=1.14.12,<2.0a0'] -> xorg-libx11[version='>=1.7.0,<2.0a0']\n",
      "xorg-libxt -> xorg-libx11[version='>=1.7.0,<2.0a0']\n",
      "pango -> cairo[version='>=1.14.12,<2.0a0'] -> xorg-libx11\n",
      "xorg-libxext -> xorg-libx11[version='>=1.7.0,<2.0a0']\n",
      "harfbuzz -> cairo[version='>=1.14.12,<2.0a0'] -> xorg-libx11\n",
      "\n",
      "Package yaml conflicts for:\n",
      "dask-core -> pyyaml[version='>=5.3.1'] -> yaml[version='>=0.1.7,<0.2.0a0|>=0.2.5,<0.3.0a0']\n",
      "dash -> pyyaml[version='>=5.1.1'] -> yaml[version='>=0.1.7,<0.2.0a0|>=0.2.5,<0.3.0a0']\n",
      "pyyaml -> yaml[version='>=0.1.7,<0.2.0a0|>=0.2.5,<0.3.0a0']\n",
      "\n",
      "Package liblapacke conflicts for:\n",
      "numexpr -> blas=[build=mkl] -> liblapacke==3.9.0=14_linux64_mkl\n",
      "pytorch==1.5.0 -> blas=[build=mkl] -> liblapacke==3.9.0=14_linux64_mkl\n",
      "mkl-devel -> blas=[build=mkl] -> liblapacke==3.9.0=14_linux64_mkl\n",
      "blas -> liblapacke==3.9.0=14_linux64_mkl\n",
      "scipy -> blas=[build=mkl] -> liblapacke==3.9.0=14_linux64_mkl\n",
      "blas-devel -> liblapacke==3.9.0=14_linux64_mkl\n",
      "libopencv -> liblapacke[version='>=3.8.0,<4.0.0a0']\n",
      "numpy -> blas=[build=mkl] -> liblapacke==3.9.0=14_linux64_mkl\n",
      "py-opencv -> libopencv==3.4.9=py37_2 -> liblapacke[version='>=3.8.0,<4.0.0a0']\n",
      "opencv==3.4.9 -> libopencv==3.4.9=py37_2 -> liblapacke[version='>=3.8.0,<4.0.0a0']\n",
      "\n",
      "Package numexpr conflicts for:\n",
      "pandas -> numexpr[version='>=2.6.8|>=2.7.0|>=2.7.1']\n",
      "seaborn -> pandas[version='>=0.23'] -> numexpr[version='>=2.6.8|>=2.7.0|>=2.7.1']\n",
      "networkx -> pandas[version='>=1.1'] -> numexpr[version='>=2.6.8|>=2.7.0|>=2.7.1']\n",
      "\n",
      "Package werkzeug conflicts for:\n",
      "flask-compress -> flask -> werkzeug[version='>=0.14|>=0.15|>=2.0|>=0.7|>=0.7,<1.0.0']\n",
      "tensorflow-base -> tensorboard[version='>=2.6.0,<2.7'] -> werkzeug[version='>=0.11.10|>=0.11.15']\n",
      "tensorflow-estimator -> tensorflow-base[version='>=2.0.0,<2.1.0a0'] -> werkzeug[version='>=0.14.1,<1.0a0']\n",
      "flask -> werkzeug[version='>=0.14|>=0.15|>=2.0|>=0.7|>=0.7,<1.0.0']\n",
      "tensorflow==1.14.0 -> tensorboard[version='>=1.14.0,<1.15.0'] -> werkzeug[version='>=0.11.10|>=0.11.15']\n",
      "tensorflow-base -> werkzeug[version='>=0.14.1,<1.0a0']\n",
      "dash -> flask[version='>=1.0.2'] -> werkzeug[version='>=0.14|>=0.15|>=2.0']\n",
      "tensorboard -> werkzeug[version='>=0.11.10|>=0.11.15|>=0.14']\n",
      "jupyter-dash==0.4.0 -> flask -> werkzeug[version='>=0.14|>=0.15|>=2.0|>=0.7|>=0.7,<1.0.0']\n",
      "\n",
      "Package pip conflicts for:\n",
      "wrapt -> python[version='>=3.10,<3.11.0a0'] -> pip\n",
      "tqdm==4.60.0 -> python[version='>=2.7'] -> pip\n",
      "ninja -> python -> pip\n",
      "keras-applications -> python -> pip\n",
      "imagecodecs-lite -> python[version='>=3.7,<3.8.0a0'] -> pip\n",
      "flask-compress -> python[version='>=2.7'] -> pip\n",
      "ipython -> python[version='>=3.9,<3.10.0a0'] -> pip\n",
      "charset-normalizer -> python[version='>=3.5'] -> pip\n",
      "pywavelets -> python[version='>=3.10,<3.11.0a0'] -> pip\n",
      "pyparsing -> python[version='>=3.6'] -> pip\n",
      "wheel -> python -> pip\n",
      "psutil -> python[version='>=3.10,<3.11.0a0'] -> pip\n",
      "zipp -> python[version='>=3.7'] -> pip\n",
      "nest-asyncio -> python[version='>=3.7,<3.8.0a0'] -> pip\n",
      "bottleneck -> python[version='>=3.8,<3.9.0a0'] -> pip\n",
      "cython -> python[version='>=3.9,<3.10.0a0'] -> pip\n",
      "tifffile -> python[version='>=3.7'] -> pip\n",
      "termcolor -> python[version='>=3.10,<3.11.0a0'] -> pip\n",
      "parso -> python[version='>=3.6'] -> pip\n",
      "imutils==0.5.4 -> python[version='>=3.7,<3.8.0a0'] -> pip\n",
      "entrypoints -> python[version='>=3.8,<3.9.0a0'] -> pip\n",
      "h5py -> python[version='>=3.10,<3.11.0a0'] -> pip\n",
      "python~=3.7 -> pip\n",
      "dash -> python -> pip\n",
      "matplotlib-base -> python[version='>=3.8,<3.9.0a0'] -> pip\n",
      "ptyprocess -> python -> pip\n",
      "olefile -> python[version='>=3.5,<3.6.0a0'] -> pip\n",
      "brotli-python -> python[version='>=3.8,<3.9.0a0'] -> pip\n",
      "astor -> python[version='>=3.10,<3.11.0a0'] -> pip\n",
      "requests -> python[version='>=3.6'] -> pip\n",
      "packaging -> python[version='>=3.6'] -> pip\n",
      "pyopenssl -> python[version='>=3.6'] -> pip\n",
      "retrying -> python[version='>=3.6,<3.7.0a0'] -> pip\n",
      "typing_extensions -> python[version='>=3.6'] -> pip\n",
      "pexpect -> python -> pip\n",
      "markupsafe -> python[version='>=3.10,<3.11.0a0'] -> pip\n",
      "munkres -> python -> pip\n",
      "tornado -> python[version='>=3.10,<3.11.0a0'] -> pip\n",
      "python-dateutil -> python -> pip\n",
      "pyshp -> python -> pip\n",
      "cloudpickle -> python[version='>=3.6'] -> pip\n",
      "setuptools -> python[version='>=3.10,<3.11.0a0'] -> pip\n",
      "partd -> python[version='>=3.5'] -> pip\n",
      "pygments -> python[version='>=3.5'] -> pip\n",
      "pandas -> python[version='>=3.10,<3.11.0a0'] -> pip\n",
      "basemap==1.2.0 -> python[version='>=3.6,<3.7.0a0'] -> pip\n",
      "six -> python -> pip\n",
      "pyzmq -> python[version='>=3.10,<3.11.0a0'] -> pip\n",
      "gast -> python -> pip\n",
      "py-opencv -> python[version='>=3.7,<3.8.0a0'] -> pip\n",
      "click -> python[version='>=3.10,<3.11.0a0'] -> pip\n",
      "brotlipy -> python[version='>=3.7,<3.8.0a0'] -> pip\n",
      "tensorflow==1.14.0 -> python=3.6 -> pip\n",
      "jinja2 -> python[version='>=3.6'] -> pip\n",
      "unicodedata2 -> python[version='>=3.10,<3.11.0a0'] -> pip\n",
      "markdown -> python[version='>=3.10,<3.11.0a0'] -> pip\n",
      "ibm_db==3.0.4 -> python[version='>=3.7,<3.8.0a0'] -> pip\n",
      "scikit-image==0.17.2 -> python[version='>=3.9,<3.10.0a0'] -> pip\n",
      "certifi -> python[version='>=3.7,<3.8.0a0'] -> pip\n",
      "pysocks -> python[version='>=3.7,<3.8.0a0'] -> pip\n",
      "google-pasta -> python -> pip\n",
      "tensorflow-estimator -> python -> pip\n",
      "tensorflow-base -> python[version='>=3.9,<3.10.0a0'] -> pip\n",
      "cryptography -> python[version='>=3.10,<3.11.0a0'] -> pip\n",
      "jedi -> python[version='>=3.10,<3.11.0a0'] -> pip\n",
      "typing-extensions -> python -> pip\n",
      "itsdangerous -> python[version='>=3.6'] -> pip\n",
      "scipy -> python[version='>=3.7,<3.8.0a0'] -> pip\n",
      "backports.functools_lru_cache -> python -> pip\n",
      "networkx -> python[version='>=3.8'] -> pip\n",
      "cffi -> python[version='>=3.10,<3.11.0a0'] -> pip\n",
      "pyyaml -> python[version='>=3.7,<3.8.0a0'] -> pip\n",
      "decorator -> python[version='>=3.5'] -> pip\n",
      "backcall -> python -> pip\n",
      "ipykernel -> python[version='>=3.10,<3.11.0a0'] -> pip\n",
      "xlrd==1.2.0 -> python[version='>=3.7,<3.8.0a0'] -> pip\n",
      "locket -> python[version='>=3.9,<3.10.0a0'] -> pip\n",
      "keras-preprocessing -> python[version='>=3.6'] -> pip\n",
      "traitlets -> python[version='>=3.7'] -> pip\n",
      "dask-core -> python[version='>=3.8'] -> pip\n",
      "wcwidth -> python -> pip\n",
      "debugpy -> python[version='>=3.10,<3.11.0a0'] -> pip\n",
      "imageio -> python[version='>=3'] -> pip\n",
      "idna -> python[version='>=3.5'] -> pip\n",
      "matplotlib-inline -> python[version='>=3.6'] -> pip\n",
      "pycocotools==2.0.2 -> python[version='>=3.7,<3.8.0a0'] -> pip\n",
      "absl-py -> python -> pip\n",
      "grpcio -> python[version='>=3.9,<3.10.0a0'] -> pip\n",
      "prompt-toolkit -> python -> pip\n",
      "backports -> python -> pip\n",
      "pyproj -> python[version='>=3.9,<3.10.0a0'] -> pip\n",
      "numexpr -> python[version='>=3.8,<3.9.0a0'] -> pip\n",
      "plotly -> python[version='>=3.6'] -> pip\n",
      "pycparser -> python[version='>=3.6'] -> pip\n",
      "pytz -> python -> pip\n",
      "urllib3 -> python[version='>=3.9,<3.10.0a0'] -> pip\n",
      "pytorch==1.5.0 -> python[version='>=3.7,<3.8.0a0'] -> pip\n",
      "kiwisolver -> python[version='>=3.8,<3.9.0a0'] -> pip\n",
      "python_abi -> python=3.7 -> pip\n",
      "importlib-metadata -> python[version='>=3.10,<3.11.0a0'] -> pip\n",
      "tenacity -> python[version='>=3.10,<3.11.0a0'] -> pip\n",
      "flask -> python[version='>=3.6'] -> pip\n",
      "fonttools -> python[version='>=3.6'] -> pip\n",
      "tensorboard -> python[version='>=3.2'] -> pip\n",
      "protobuf -> python[version='>=3.8,<3.9.0a0'] -> pip\n",
      "toolz -> python[version='>=3.5'] -> pip\n",
      "pickleshare -> python[version='>=3'] -> pip\n",
      "cycler -> python[version='>=3.6'] -> pip\n",
      "werkzeug -> python[version='>=3.6'] -> pip\n",
      "jupyter-dash==0.4.0 -> python[version='>=3.5'] -> pip\n",
      "jupyter_client -> python[version='>=3.10,<3.11.0a0'] -> pip\n",
      "numpy -> python[version='>=3.8,<3.9.0a0'] -> pip\n",
      "pillow -> python[version='>=3.10,<3.11.0a0'] -> pip\n",
      "cytoolz -> python[version='>=3.10,<3.11.0a0'] -> pip\n",
      "ansi2html -> python[version='>=3.10,<3.11.0a0'] -> pip\n",
      "fsspec -> python[version='>=3.7'] -> pip\n",
      "\n",
      "Package proj4 conflicts for:\n",
      "pyproj -> proj4[version='>=5.0.1,<5.0.2.0a0|>=5.1.0,<5.1.1.0a0|>=5.2.0,<5.2.1.0a0|>=5.2,<6']\n",
      "basemap==1.2.0 -> pyproj[version='>=1.9.3,<2'] -> proj4[version='>=5.0.1,<5.0.2.0a0|>=5.1.0,<5.1.1.0a0|>=5.2.0,<5.2.1.0a0|>=5.2,<6']\n",
      "\n",
      "Package libopus conflicts for:\n",
      "gst-plugins-base -> libopus[version='>=1.3.1,<2.0a0']\n",
      "ffmpeg -> libopus[version='>=1.2.1,<2.0a0|>=1.3,<2.0a0|>=1.3.1,<2.0a0']\n",
      "qt -> gst-plugins-base[version='>=1.18.3,<1.19.0a0'] -> libopus[version='>=1.3.1,<2.0a0']\n",
      "libopencv -> ffmpeg[version='>=4.0,<4.1.0a0'] -> libopus[version='>=1.2.1,<2.0a0']\n",
      "\n",
      "Package gettext conflicts for:\n",
      "qt -> gst-plugins-base[version='>=1.18.3,<1.19.0a0'] -> gettext[version='>=0.19.8.1,<1.0a0']\n",
      "pango -> libglib[version='>=2.64.6,<3.0a0'] -> gettext[version='>=0.19.8.1,<1.0a0']\n",
      "cairo -> libglib[version='>=2.68.0,<3.0a0'] -> gettext[version='>=0.19.8.1,<1.0a0']\n",
      "xorg-libxpm -> gettext[version='>=0.19.8.1,<1.0a0']\n",
      "harfbuzz -> libglib[version='>=2.68.4,<3.0a0'] -> gettext[version='>=0.19.8.1,<1.0a0']\n",
      "dbus -> libglib[version='>=2.70.2,<3.0a0'] -> gettext[version='>=0.19.8.1,<1.0a0']\n",
      "libglib -> gettext[version='>=0.19.8.1,<1.0a0']\n",
      "graphviz==2.40.1 -> xorg-libxpm -> gettext[version='>=0.19.8.1,<1.0a0']\n",
      "gstreamer -> gettext[version='>=0.19.8.1,<1.0a0']\n",
      "gst-plugins-base -> gettext[version='>=0.19.8.1,<1.0a0']\n",
      "\n",
      "Package libgfortran4 conflicts for:\n",
      "hdf5 -> libgfortran-ng -> libgfortran4=7.5.0\n",
      "seaborn -> scipy[version='>=1.0'] -> libgfortran4[version='>=7.5.0']\n",
      "keras-preprocessing -> scipy[version='>=0.14'] -> libgfortran4[version='>=7.5.0']\n",
      "hdf5 -> libgfortran4[version='>=7.5.0']\n",
      "libgfortran-ng -> libgfortran4=7.5.0\n",
      "scipy -> libgfortran-ng -> libgfortran4=7.5.0\n",
      "numexpr -> libopenblas[version='>=0.3.3,<1.0a0'] -> libgfortran4[version='>=7.5.0']\n",
      "numpy -> libopenblas[version='>=0.3.3,<1.0a0'] -> libgfortran4[version='7.5.0.*|>=7.5.0']\n",
      "imutils==0.5.4 -> scipy -> libgfortran4[version='>=7.5.0']\n",
      "scipy -> libgfortran4[version='>=7.5.0']\n",
      "blas -> libgfortran-ng -> libgfortran4=7.5.0\n",
      "scikit-image==0.17.2 -> scipy[version='>=0.19'] -> libgfortran4[version='>=7.5.0']\n",
      "networkx -> scipy[version='>=1.5,!=1.6.1'] -> libgfortran4[version='>=7.5.0']\n",
      "tensorflow-base -> scipy[version='>=1.6.2'] -> libgfortran4[version='>=7.5.0']\n",
      "h5py -> hdf5 -> libgfortran4[version='>=7.5.0']\n",
      "\n",
      "Package six conflicts for:\n",
      "tensorflow==1.14.0 -> tensorboard[version='>=1.14.0,<1.15.0'] -> six[version='>=1.10.0']\n",
      "traitlets -> six\n",
      "pytorch==1.5.0 -> mkl-service[version='>=2,<3.0a0'] -> six\n",
      "python-dateutil -> six[version='>=1.5']\n",
      "seaborn -> patsy -> six\n",
      "pandas -> python-dateutil[version='>=2.8.1'] -> six[version='>=1.5']\n",
      "google-pasta -> six\n",
      "absl-py -> six\n",
      "protobuf -> six\n",
      "numpy -> mkl-service[version='>=2.3.0,<3.0a0'] -> six\n",
      "tensorflow-estimator -> absl-py[version='>=0.7.0'] -> six[version='>=1.12.0,<2.0a0|>=1.12.0|>=1.15.0|>=1.5.2|>=1.6.0']\n",
      "plotly -> tenacity[version='>=6.2.0'] -> six[version='>=1.7.0|>=1.9.0']\n",
      "jupyter_client -> python-dateutil[version='>=2.8.2'] -> six[version='>=1.5']\n",
      "pyopenssl -> cryptography[version='>=3.3'] -> six[version='>=1.4.1']\n",
      "tenacity -> six[version='>=1.9.0']\n",
      "dask-core -> packaging[version='>=20.0'] -> six\n",
      "ansi2html -> six\n",
      "tensorflow-estimator -> six[version='>=1.10.0']\n",
      "cycler -> six\n",
      "tensorflow-base -> absl-py[version='>=0.10.0'] -> six[version='>=1.5.2|>=1.6.1,<2.0|>=1.6.0|>=1.9.0']\n",
      "matplotlib-base -> cycler[version='>=0.10'] -> six[version='>=1.5']\n",
      "keras-applications -> h5py -> six\n",
      "tensorboard -> grpcio[version='>=1.24.3'] -> six[version='>=1.5.2|>=1.6.0|>=1.9.0']\n",
      "h5py -> six\n",
      "ipython -> prompt-toolkit[version='>=2.0.0,<3.1.0,!=3.0.0,!=3.0.1'] -> six[version='>=1.9.0']\n",
      "keras-preprocessing -> six[version='>=1.9.0']\n",
      "prompt-toolkit -> six[version='>=1.9.0']\n",
      "basemap==1.2.0 -> six\n",
      "retrying -> six[version='>=1.7.0']\n",
      "matplotlib-inline -> traitlets -> six\n",
      "h5py -> unittest2 -> six[version='>=1.4']\n",
      "cryptography -> six[version='>=1.4.1']\n",
      "packaging -> six\n",
      "tornado -> singledispatch -> six\n",
      "pyopenssl -> six[version='>=1.5.2']\n",
      "urllib3 -> cryptography[version='>=1.3.4'] -> six[version='>=1.4.1|>=1.5.2']\n",
      "jupyter-dash==0.4.0 -> ansi2html -> six[version='>=1.7.0']\n",
      "grpcio -> protobuf[version='>=3.5.0'] -> six\n",
      "scipy -> mkl-service[version='>=2.3.0,<3.0a0'] -> six\n",
      "pickleshare -> pathlib2 -> six\n",
      "ipykernel -> traitlets[version='>=4.1.0,<6.0'] -> six\n",
      "plotly -> six[version='1.15.0|>=1.15.0']\n",
      "grpcio -> six[version='>=1.5.2|>=1.6.0']\n",
      "tensorboard -> six[version='>=1.10.0|>=1.12']\n",
      "tensorflow-base -> six[version='>=1.10.0|>=1.12.0,<2.0a0|>=1.12.0|>=1.15.0']\n",
      "numexpr -> mkl-service[version='>=2.3.0,<3.0a0'] -> six\n",
      "zipp -> more-itertools -> six[version='>=1.0.0,<2.0.0']\n",
      "dash -> plotly -> six[version='1.15.0|>=1.15.0']\n",
      "\n",
      "Package hdf5 conflicts for:\n",
      "py-opencv -> opencv==4.5.4 -> hdf5[version='>=1.10.2,<1.10.3.0a0|>=1.10.6,<1.10.7.0a0|>=1.8.20,<1.9.0a0|>=1.8.18,<1.8.19.0a0|>=1.10.5,<1.10.6.0a0']\n",
      "keras-applications -> h5py -> hdf5[version='>=1.10.1,<1.10.2.0a0|>=1.10.2,<1.10.3.0a0|>=1.10.4,<1.10.5.0a0|>=1.10.6,<1.10.7.0a0|>=1.8.20,<1.9.0a0|>=1.8.18,<1.8.19.0a0|>=1.10.5,<1.10.6.0a0']\n",
      "imutils==0.5.4 -> opencv -> hdf5[version='>=1.10.1,<1.10.2.0a0|>=1.10.2,<1.10.3.0a0|>=1.10.6,<1.10.7.0a0|>=1.8.20,<1.9.0a0|>=1.8.18,<1.8.19.0a0']\n",
      "libopencv -> hdf5[version='>=1.10.2,<1.10.3.0a0|>=1.8.20,<1.9.0a0|>=1.8.18,<1.8.19.0a0|>=1.10.5,<1.10.6.0a0']\n",
      "opencv==3.4.9 -> libopencv==3.4.9=py37_2 -> hdf5[version='>=1.10.5,<1.10.6.0a0']\n",
      "h5py -> hdf5[version='>=1.10.1,<1.10.2.0a0|>=1.10.2,<1.10.3.0a0|>=1.10.4,<1.10.5.0a0|>=1.10.6,<1.10.7.0a0|>=1.8.20,<1.9.0a0|>=1.8.18,<1.8.19.0a0|>=1.10.5,<1.10.6.0a0']\n",
      "tensorflow-base -> h5py[version='>=3.1.0'] -> hdf5[version='>=1.10.4,<1.10.5.0a0|>=1.10.6,<1.10.7.0a0|>=1.10.5,<1.10.6.0a0']\n",
      "libopencv -> opencv==4.5.4 -> hdf5[version='>=1.10.6,<1.10.7.0a0']\n",
      "\n",
      "Package matplotlib-base conflicts for:\n",
      "scikit-image==0.17.2 -> matplotlib-base[version='>=2.0.0']\n",
      "basemap==1.2.0 -> matplotlib[version='>=1.0.0'] -> matplotlib-base[version='3.1.2|3.1.2|3.1.2|3.1.3|3.1.3|3.1.3|>=3.2.1,<3.2.2.0a0|>=3.2.2,<3.2.3.0a0|>=3.3.1,<3.3.2.0a0|>=3.3.2,<3.3.3.0a0|>=3.3.4,<3.3.5.0a0|>=3.4.2,<3.4.3.0a0|>=3.4.3,<3.4.4.0a0|>=3.5.0,<3.5.1.0a0|>=3.5.1,<3.5.2.0a0',build='py36hef1b27d_1|py36hef1b27d_0|py37hef1b27d_0|py38hef1b27d_0|py38hef1b27d_1|py37hef1b27d_1']\n",
      "seaborn -> matplotlib[version='>=2.2'] -> matplotlib-base[version='3.1.2|3.1.2|3.1.2|3.1.3|3.1.3|3.1.3|>=3.2.1,<3.2.2.0a0|>=3.2.2,<3.2.3.0a0|>=3.3.1,<3.3.2.0a0|>=3.3.2,<3.3.3.0a0|>=3.3.4,<3.3.5.0a0|>=3.4.2,<3.4.3.0a0|>=3.4.3,<3.4.4.0a0|>=3.5.0,<3.5.1.0a0|>=3.5.1,<3.5.2.0a0',build='py36hef1b27d_1|py36hef1b27d_0|py37hef1b27d_0|py38hef1b27d_0|py38hef1b27d_1|py37hef1b27d_1']\n",
      "scikit-image==0.17.2 -> networkx[version='>=2.0'] -> matplotlib-base[version='>=3.3']\n",
      "basemap==1.2.0 -> matplotlib-base[version='>=1.0.0']\n",
      "networkx -> matplotlib-base[version='>=3.3']\n",
      "imutils==0.5.4 -> matplotlib-base\n",
      "networkx -> matplotlib[version='>=3.3'] -> matplotlib-base[version='>=3.3.1,<3.3.2.0a0|>=3.3.2,<3.3.3.0a0|>=3.3.4,<3.3.5.0a0|>=3.4.2,<3.4.3.0a0|>=3.4.3,<3.4.4.0a0|>=3.5.0,<3.5.1.0a0|>=3.5.1,<3.5.2.0a0']\n",
      "pycocotools==2.0.2 -> matplotlib-base\n",
      "\n",
      "Package typing conflicts for:\n",
      "typing_extensions -> typing[version='>=3.7.4']\n",
      "importlib-metadata -> typing_extensions[version='>=3.6.4'] -> typing[version='>=3.7.4']\n",
      "tensorflow-base -> typing_extensions[version='>=3.7.4'] -> typing[version='>=3.7.4']\n",
      "kiwisolver -> typing_extensions -> typing[version='>=3.7.4']\n",
      "\n",
      "Package pillow conflicts for:\n",
      "scikit-image==0.17.2 -> imageio[version='>=2.3.0'] -> pillow[version='>=6.2.0']\n",
      "pycocotools==2.0.2 -> matplotlib-base -> pillow[version='>=6.2.0']\n",
      "imageio -> pillow\n",
      "networkx -> matplotlib-base[version='>=3.3'] -> pillow[version='>=6.2.0']\n",
      "matplotlib-base -> pillow[version='>=6.2.0']\n",
      "basemap==1.2.0 -> matplotlib-base[version='>=1.0.0'] -> pillow[version='>=6.2.0']\n",
      "scikit-image==0.17.2 -> pillow[version='>=4.3.0']\n",
      "imutils==0.5.4 -> matplotlib-base -> pillow[version='>=6.2.0']\n",
      "\n",
      "Package libxcb conflicts for:\n",
      "xorg-libxrender -> xorg-libx11[version='>=1.7.0,<2.0a0'] -> libxcb=1\n",
      "xorg-libxpm -> xorg-libx11[version='>=1.7.0,<2.0a0'] -> libxcb=1\n",
      "qt -> gst-plugins-base[version='>=1.14.0,<1.15.0a0'] -> libxcb[version='>=1.13,<1.14.0a0|>=1.14,<2.0a0']\n",
      "harfbuzz -> cairo[version='>=1.14.12,<2.0a0'] -> libxcb[version='>=1.14,<2.0a0|>=1.15,<2.0a0']\n",
      "graphviz==2.40.1 -> cairo[version='>=1.14.12,<2.0a0'] -> libxcb[version='>=1.12,<2.0a0|>=1.13,<2.0a0|>=1.14,<2.0a0|>=1.15,<2.0a0']\n",
      "cairo -> libxcb[version='>=1.12,<2.0a0|>=1.13,<2.0a0|>=1.14,<2.0a0|>=1.15,<2.0a0']\n",
      "xorg-libxext -> xorg-libx11[version='>=1.7.0,<2.0a0'] -> libxcb=1\n",
      "qt -> libxcb[version='>=1.12,<2.0a0|>=1.13,<2.0a0']\n",
      "libxkbcommon -> libxcb[version='>=1.14,<2.0a0']\n",
      "graphviz==2.40.1 -> libxcb\n",
      "xorg-libxt -> xorg-libx11[version='>=1.7.0,<2.0a0'] -> libxcb=1\n",
      "maven==3.6.0 -> openjdk -> libxcb\n",
      "xorg-libx11 -> libxcb=1\n",
      "cairo -> xorg-libx11 -> libxcb=1\n",
      "harfbuzz -> libxcb[version='>=1.12,<2.0a0|>=1.13,<2.0a0']\n",
      "libopencv -> harfbuzz[version='>=1.7.6,<2.0a0'] -> libxcb[version='>=1.12,<2.0a0|>=1.13,<2.0a0']\n",
      "gst-plugins-base -> libxcb[version='>=1.12,<2.0a0|>=1.13,<2.0a0|>=1.14,<2.0a0|>=1.13,<1.14.0a0']\n",
      "pango -> cairo[version='>=1.14.12,<2.0a0'] -> libxcb[version='>=1.12,<2.0a0|>=1.13,<2.0a0|>=1.14,<2.0a0|>=1.15,<2.0a0']\n",
      "\n",
      "Package nettle conflicts for:\n",
      "gnutls -> nettle[version='>=3.4.1,<3.5.0a0|>=3.4.1|>=3.7.2,<3.8.0a0|>=3.6,<3.7.0a0']\n",
      "ffmpeg -> gnutls[version='>=3.6.5,<3.7.0a0'] -> nettle[version='>=3.4.1,<3.5.0a0|>=3.4.1|>=3.7.2,<3.8.0a0|>=3.6,<3.7.0a0']\n",
      "\n",
      "Package libcblas conflicts for:\n",
      "pandas -> numpy[version='>=1.21.5,<2.0a0'] -> libcblas[version='>=3.8.0,<4.0a0']\n",
      "keras-applications -> numpy[version='>=1.9.1'] -> libcblas[version='>=3.8.0,<4.0a0']\n",
      "keras-preprocessing -> numpy[version='>=1.9.1'] -> libcblas[version='>=3.8.0,<4.0a0']\n",
      "pywavelets -> numpy[version='>=1.21.2,<2.0a0'] -> libcblas[version='>=3.8.0,<4.0a0']\n",
      "numexpr -> numpy[version='>=1.16.6,<2.0a0'] -> libcblas[version='3.9.0|>=3.8.0,<4.0a0',build=14_linux64_mkl]\n",
      "pyproj -> numpy -> libcblas[version='>=3.8.0,<4.0a0']\n",
      "seaborn -> numpy[version='>=1.15'] -> libcblas[version='>=3.8.0,<4.0a0']\n",
      "scipy -> libcblas[version='>=3.8.0,<4.0a0']\n",
      "bottleneck -> numpy[version='>=1.16.6,<2.0a0'] -> libcblas[version='>=3.8.0,<4.0a0']\n",
      "pycocotools==2.0.2 -> numpy[version='>=1.18.5,<2.0a0'] -> libcblas[version='>=3.8.0,<4.0a0']\n",
      "py-opencv -> numpy[version='>=1.11.3,<2.0a0'] -> libcblas[version='>=3.8.0,<4.0a0']\n",
      "tensorflow-base -> numpy[version='>=1.20'] -> libcblas[version='>=3.8.0,<4.0a0']\n",
      "imagecodecs-lite -> numpy[version='>=1.19.5,<2.0a0'] -> libcblas[version='>=3.8.0,<4.0a0']\n",
      "liblapacke -> libcblas==3.9.0=14_linux64_mkl\n",
      "numpy -> blas=[build=mkl] -> libcblas==3.9.0=14_linux64_mkl\n",
      "imageio -> numpy -> libcblas[version='>=3.8.0,<4.0a0']\n",
      "mkl-devel -> blas=[build=mkl] -> libcblas==3.9.0=14_linux64_mkl\n",
      "networkx -> numpy[version='>=1.19'] -> libcblas[version='>=3.8.0,<4.0a0']\n",
      "h5py -> numpy[version='>=1.21.2,<2.0a0'] -> libcblas[version='>=3.8.0,<4.0a0']\n",
      "pytorch==1.5.0 -> numpy[version='>=1.11.3,<2.0a0'] -> libcblas[version='3.9.0|>=3.8.0,<4.0a0',build=14_linux64_mkl]\n",
      "scikit-image==0.17.2 -> numpy[version='>=1.16.6,<2.0a0'] -> libcblas[version='>=3.8.0,<4.0a0']\n",
      "basemap==1.2.0 -> numpy[version='>=1.14.6,<2.0a0'] -> libcblas[version='>=3.8.0,<4.0a0']\n",
      "blas-devel -> libcblas==3.9.0=14_linux64_mkl\n",
      "tifffile -> numpy[version='>=1.15.1'] -> libcblas[version='>=3.8.0,<4.0a0']\n",
      "tensorboard -> numpy[version='>=1.12.0'] -> libcblas[version='>=3.8.0,<4.0a0']\n",
      "blas -> libcblas==3.9.0=14_linux64_mkl\n",
      "scipy -> blas=[build=mkl] -> libcblas==3.9.0=14_linux64_mkl\n",
      "imutils==0.5.4 -> numpy -> libcblas[version='>=3.8.0,<4.0a0']\n",
      "libopencv -> liblapacke[version='>=3.8.0,<4.0.0a0'] -> libcblas==3.9.0=14_linux64_mkl\n",
      "tensorflow-estimator -> numpy[version='>=1.16.1'] -> libcblas[version='>=3.8.0,<4.0a0']\n",
      "matplotlib-base -> numpy[version='>=1.19.2,<2.0a0'] -> libcblas[version='>=3.8.0,<4.0a0']\n",
      "numpy -> libcblas[version='>=3.8.0,<4.0a0']\n",
      "\n",
      "Package zstd conflicts for:\n",
      "libarchive -> zstd[version='>=1.3.3,<1.3.4.0a0|>=1.3.7,<1.3.8.0a0|>=1.4.4,<1.4.5.0a0|>=1.4.8,<1.5.0a0|>=1.5.2,<1.6.0a0|>=1.4.4,<1.5.0a0']\n",
      "libwebp -> libtiff[version='>=4.1.0,<5.0a0'] -> zstd[version='>=1.3.7,<1.3.8.0a0|>=1.4.4,<1.4.5.0a0|>=1.4|>=1.4.5,<1.4.6.0a0|>=1.5.2,<1.6.0a0|>=1.4.5,<1.5.0a0|>=1.4.4,<1.5.0.0a0|>=1.4.4,<1.5.0a0']\n",
      "mysql-libs -> zstd[version='>=1.4.9,<1.5.0a0']\n",
      "graphviz==2.40.1 -> libtiff[version='>=4.0.9,<5.0a0'] -> zstd[version='>=1.3.7,<1.3.8.0a0|>=1.4.4,<1.4.5.0a0|>=1.4|>=1.4.5,<1.4.6.0a0|>=1.5.2,<1.6.0a0|>=1.4.5,<1.5.0a0|>=1.4.4,<1.5.0.0a0|>=1.4.4,<1.5.0a0']\n",
      "libopencv -> libtiff[version='>=4.0.9,<5.0a0'] -> zstd[version='>=1.3.7,<1.3.8.0a0|>=1.4.4,<1.4.5.0a0|>=1.4|>=1.4.5,<1.4.6.0a0|>=1.5.2,<1.6.0a0|>=1.4.5,<1.5.0a0|>=1.4.4,<1.5.0.0a0|>=1.4.4,<1.5.0a0']\n",
      "qt -> mysql-libs[version='>=8.0.23,<8.1.0.0a0'] -> zstd[version='>=1.4.9,<1.5.0a0']\n",
      "libtiff -> zstd[version='>=1.3.7,<1.3.8.0a0|>=1.4.4,<1.4.5.0a0|>=1.4|>=1.4.5,<1.4.6.0a0|>=1.5.2,<1.6.0a0|>=1.4.5,<1.5.0a0|>=1.4.4,<1.5.0.0a0|>=1.4.4,<1.5.0a0']\n",
      "lcms2 -> libtiff[version='>=4.1.0,<5.0a0'] -> zstd[version='>=1.3.7,<1.3.8.0a0|>=1.4.4,<1.4.5.0a0|>=1.4|>=1.4.5,<1.4.6.0a0|>=1.5.2,<1.6.0a0|>=1.4.5,<1.5.0a0|>=1.4.4,<1.5.0.0a0|>=1.4.4,<1.5.0a0']\n",
      "tesseract==4.1.1 -> libarchive[version='>=3.3.3,<3.6.0a0'] -> zstd[version='>=1.3.3,<1.3.4.0a0|>=1.3.7,<1.3.8.0a0|>=1.4.4,<1.4.5.0a0|>=1.4.8,<1.5.0a0|>=1.5.2,<1.6.0a0|>=1.4.4,<1.5.0a0|>=1.4.5,<1.4.6.0a0|>=1.4|>=1.4.5,<1.5.0a0|>=1.4.4,<1.5.0.0a0']\n",
      "pillow -> libtiff[version='>=4.1.0,<5.0a0'] -> zstd[version='>=1.3.7,<1.3.8.0a0|>=1.4.4,<1.4.5.0a0|>=1.4|>=1.4.5,<1.4.6.0a0|>=1.5.2,<1.6.0a0|>=1.4.5,<1.5.0a0|>=1.4.4,<1.5.0.0a0|>=1.4.4,<1.5.0a0']\n",
      "leptonica -> libtiff[version='>=4.1.0,<5.0a0'] -> zstd[version='>=1.3.7,<1.3.8.0a0|>=1.4.4,<1.4.5.0a0|>=1.4|>=1.4.5,<1.4.6.0a0|>=1.5.2,<1.6.0a0|>=1.4.5,<1.5.0a0|>=1.4.4,<1.5.0.0a0|>=1.4.4,<1.5.0a0']\n",
      "openjpeg -> libtiff[version='>=4.1.0,<5.0a0'] -> zstd[version='>=1.3.7,<1.3.8.0a0|>=1.4.4,<1.4.5.0a0|>=1.4|>=1.4.5,<1.4.6.0a0|>=1.5.2,<1.6.0a0|>=1.4.5,<1.5.0a0|>=1.4.4,<1.5.0.0a0|>=1.4.4,<1.5.0a0']\n",
      "tifffile -> imagecodecs[version='>=2021.4.28'] -> zstd[version='>=1.4.4,<1.4.5.0a0|>=1.4.5,<1.4.6.0a0|>=1.4.9,<1.5.0a0|>=1.4.5,<1.5.0a0|>=1.4.4,<1.5.0a0']\n",
      "\n",
      "Package gstreamer conflicts for:\n",
      "py-opencv -> opencv==4.5.4 -> gstreamer[version='>=1.14.0,<1.15.0a0']\n",
      "qt -> gstreamer[version='>=1.12.4,<1.13.0a0|>=1.14.0,<1.15.0a0|>=1.18.3,<1.19.0a0']\n",
      "gst-plugins-base -> gstreamer[version='>=1.12.2,<1.13.0a0|>=1.12.4,<1.13.0a0|>=1.14.0,<2.0a0|>=1.18.5,<2.0a0']\n",
      "imutils==0.5.4 -> opencv -> gstreamer[version='>=1.14.0,<1.15.0a0']\n",
      "libopencv -> opencv==4.5.4 -> gstreamer[version='>=1.14.0,<1.15.0a0|>=1.18.3,<1.19.0a0']\n",
      "qt -> gst-plugins-base[version='>=1.14.0,<1.15.0a0'] -> gstreamer[version='>=1.12.2,<1.13.0a0|>=1.14.0,<2.0a0|>=1.18.5,<2.0a0']\n",
      "\n",
      "Package pixman conflicts for:\n",
      "pango -> cairo[version='>=1.14.12,<2.0a0'] -> pixman[version='>=0.40.0,<1.0a0']\n",
      "cairo -> pixman[version='0.34.*|>=0.34.0,<1.0a0|>=0.40.0,<1.0a0']\n",
      "harfbuzz -> cairo[version='>=1.14.12,<2.0a0'] -> pixman[version='0.34.*|>=0.34.0,<1.0a0|>=0.40.0,<1.0a0']\n",
      "graphviz==2.40.1 -> pixman[version='>=0.34.0,<1.0a0']\n",
      "graphviz==2.40.1 -> cairo[version='>=1.14.12,<2.0a0'] -> pixman[version='0.34.*|>=0.40.0,<1.0a0']\n",
      "pango -> pixman[version='>=0.34.0,<1.0a0']\n",
      "\n",
      "Package libbrotlidec conflicts for:\n",
      "fonttools -> brotli[version='>=1.0.1'] -> libbrotlidec==1.0.9=h166bdaf_7\n",
      "brotli-bin -> libbrotlidec==1.0.9=h166bdaf_7\n",
      "brotli -> libbrotlidec==1.0.9=h166bdaf_7\n",
      "\n",
      "Package libogg conflicts for:\n",
      "qt -> gst-plugins-base[version='>=1.18.3,<1.19.0a0'] -> libogg\n",
      "gst-plugins-base -> libvorbis -> libogg[version='>=1.3.2,<2.0a0|>=1.3.4,<1.4.0a0']\n",
      "libvorbis -> libogg[version='>=1.3.2,<2.0a0|>=1.3.4,<1.4.0a0']\n",
      "gst-plugins-base -> libogg\n",
      "\n",
      "Package jinja2 conflicts for:\n",
      "jupyter-dash==0.4.0 -> flask -> jinja2[version='>=2.10|>=2.10.1|>=3.0|>=2.4']\n",
      "flask -> jinja2[version='>=2.10|>=2.10.1|>=3.0|>=2.4']\n",
      "dash -> flask[version='>=1.0.2'] -> jinja2[version='>=2.10|>=2.10.1|>=3.0']\n",
      "jedi -> numpydoc -> jinja2[version='>=2.10']\n",
      "flask-compress -> flask -> jinja2[version='>=2.10|>=2.10.1|>=3.0|>=2.4']\n",
      "\n",
      "Package kiwisolver conflicts for:\n",
      "imutils==0.5.4 -> matplotlib-base -> kiwisolver[version='>=1.0.1']\n",
      "matplotlib-base -> kiwisolver[version='>=1.0.1']\n",
      "pycocotools==2.0.2 -> matplotlib-base -> kiwisolver[version='>=1.0.1']\n",
      "scikit-image==0.17.2 -> matplotlib-base[version='>=2.0.0'] -> kiwisolver[version='>=1.0.1']\n",
      "basemap==1.2.0 -> matplotlib-base[version='>=1.0.0'] -> kiwisolver[version='>=1.0.1']\n",
      "seaborn -> matplotlib[version='>=2.2'] -> kiwisolver\n",
      "networkx -> matplotlib-base[version='>=3.3'] -> kiwisolver[version='>=1.0.1']\n",
      "\n",
      "Package libbrotlienc conflicts for:\n",
      "brotli -> libbrotlienc==1.0.9=h166bdaf_7\n",
      "fonttools -> brotli[version='>=1.0.1'] -> libbrotlienc==1.0.9=h166bdaf_7\n",
      "brotli-bin -> libbrotlienc==1.0.9=h166bdaf_7\n",
      "\n",
      "Package libpng conflicts for:\n",
      "matplotlib-base -> libpng[version='>=1.6.37,<1.7.0a0']\n",
      "tesseract==4.1.1 -> libpng[version='>=1.6.37,<1.7.0a0']\n",
      "imutils==0.5.4 -> matplotlib-base -> libpng[version='>=1.6.32,<1.7.0a0|>=1.6.34,<1.7.0a0|>=1.6.37,<1.7.0a0']\n",
      "libwebp -> libpng[version='>=1.6.34,<1.7.0a0|>=1.6.35,<1.7.0a0|>=1.6.37,<1.7.0a0']\n",
      "leptonica -> libpng[version='>=1.6.37,<1.7.0a0']\n",
      "pango -> libpng[version='>=1.6.32,<1.7.0a0|>=1.6.34,<1.7.0a0|>=1.6.37,<1.7.0a0']\n",
      "pycocotools==2.0.2 -> matplotlib-base -> libpng[version='>=1.6.37,<1.7.0a0']\n",
      "ffmpeg -> freetype[version='>=2.9.1,<3.0a0'] -> libpng[version='>=1.6.32,<1.7.0a0|>=1.6.34,<1.7.0a0|>=1.6.37,<1.7.0a0']\n",
      "freetype -> libpng[version='>=1.6.32,<1.7.0a0|>=1.6.34,<1.7.0a0|>=1.6.37,<1.7.0a0']\n",
      "harfbuzz -> cairo[version='>=1.14.12,<2.0a0'] -> libpng[version='>=1.6.32,<1.7.0a0|>=1.6.34,<1.7.0a0|>=1.6.37,<1.7.0a0']\n",
      "pillow -> freetype[version='>=2.10.4,<3.0a0'] -> libpng[version='>=1.6.32,<1.7.0a0|>=1.6.34,<1.7.0a0|>=1.6.35,<1.7.0a0|>=1.6.37,<1.7.0a0']\n",
      "matplotlib-base -> freetype[version='>=2.3'] -> libpng[version='>=1.6.32,<1.7.0a0|>=1.6.34,<1.7.0a0']\n",
      "fontconfig -> libpng[version='>=1.6.32,<1.7.0a0|>=1.6.34,<1.7.0a0']\n",
      "seaborn -> matplotlib[version='>=2.2'] -> libpng[version='>=1.6.32,<1.7.0a0|>=1.6.34,<1.7.0a0|>=1.6.35,<1.7.0a0|>=1.6.36,<1.7.0a0|>=1.6.37,<1.7.0a0']\n",
      "basemap==1.2.0 -> matplotlib-base[version='>=1.0.0'] -> libpng[version='>=1.6.32,<1.7.0a0|>=1.6.34,<1.7.0a0|>=1.6.35,<1.7.0a0|>=1.6.36,<1.7.0a0|>=1.6.37,<1.7.0a0']\n",
      "openjpeg -> libpng[version='>=1.6.32,<1.7.0a0|>=1.6.34,<1.7.0a0|>=1.6.37,<1.7.0a0']\n",
      "tensorflow==1.14.0 -> libpng[version='>=1.6.37,<1.7.0a0']\n",
      "libopencv -> freetype[version='>=2.8,<2.9.0a0'] -> libpng[version='>=1.6.32,<1.7.0a0']\n",
      "tifffile -> imagecodecs[version='>=2021.4.28'] -> libpng[version='>=1.6.37,<1.7.0a0']\n",
      "tensorflow-estimator -> tensorflow-base[version='>=1.14.0,<1.15.0a0'] -> libpng[version='>=1.6.37,<1.7.0a0']\n",
      "gst-plugins-base -> libpng[version='>=1.6.37,<1.7.0a0']\n",
      "py-opencv -> opencv==4.5.4 -> libpng[version='>=1.6.34,<1.7.0a0|>=1.6.37,<1.7.0a0']\n",
      "tensorflow-base -> libpng[version='>=1.6.37,<1.7.0a0']\n",
      "graphviz==2.40.1 -> libpng[version='>=1.6.34,<1.7.0a0|>=1.6.37,<1.7.0a0']\n",
      "qt -> libpng[version='>=1.6.32,<1.7.0a0|>=1.6.34,<1.7.0a0|>=1.6.35,<1.7.0a0|>=1.6.37,<1.7.0a0']\n",
      "graphviz==2.40.1 -> cairo -> libpng[version='>=1.6.32,<1.7.0a0']\n",
      "libopencv -> libpng[version='>=1.6.34,<1.7.0a0|>=1.6.37,<1.7.0a0']\n",
      "cairo -> libpng[version='>=1.6.32,<1.7.0a0|>=1.6.34,<1.7.0a0|>=1.6.37,<1.7.0a0']\n",
      "scikit-image==0.17.2 -> matplotlib-base[version='>=2.0.0'] -> libpng[version='>=1.6.37,<1.7.0a0']\n",
      "fontconfig -> freetype[version='>=2.10.4,<3.0a0'] -> libpng[version='>=1.6.37,<1.7.0a0']\n",
      "opencv==3.4.9 -> libopencv==3.4.9=py37_2 -> libpng[version='>=1.6.37,<1.7.0a0']\n",
      "\n",
      "Package snappy conflicts for:\n",
      "tensorflow-base -> snappy[version='>=1.1.8,<2.0a0']\n",
      "tifffile -> imagecodecs[version='>=2021.4.28'] -> snappy[version='>=1.1.8,<2.0a0']\n",
      "\n",
      "Package requests conflicts for:\n",
      "jupyter-dash==0.4.0 -> requests\n",
      "tensorboard -> google-auth[version='>=1.6.3'] -> requests[version='>=2.20.0,<3.0.0dev']\n",
      "dash -> plotly -> requests\n",
      "tensorboard -> requests[version='>=2.21.0|>=2.21.0,<3']\n",
      "plotly -> requests\n",
      "\n",
      "Package parso conflicts for:\n",
      "ipython -> jedi[version='>=0.16'] -> parso[version='0.1.0|>=0.1.0,<0.2|>=0.2.0|>=0.3.0|>=0.5.0|>=0.5.2|>=0.7.0|>=0.7.0,<0.8.0|>=0.8.0,<0.9.0']\n",
      "jedi -> parso[version='0.1.0|>=0.1.0,<0.2|>=0.2.0|>=0.3.0|>=0.5.0|>=0.5.2|>=0.7.0|>=0.7.0,<0.8.0|>=0.8.0,<0.9.0']\n",
      "\n",
      "Package binutils_linux-64 conflicts for:\n",
      "gxx_linux-64==7.2.0 -> binutils_linux-64==7.2.0[build='hc67e822_2|hc67e822_7|hc67e822_8|hc67e822_9|hc67e822_11|hc67e822_12|26|had2808c_27|25|19|hc67e822_15|hc67e822_14|hc67e822_13|hc67e822_10|hc67e822_3']\n",
      "gxx_linux-64==7.2.0 -> gcc_linux-64==7.2.0=hc7b1ceb_1 -> binutils_linux-64==2.28.1=he4fe6c7_1\n",
      "gcc_linux-64 -> binutils_linux-64[version='2.28.1|2.31.1|2.31.1|2.31.1|2.31.1|2.31.1|2.31.1|2.31.1|2.35.1|2.33.1|7.2.0|7.2.0|7.2.0|7.2.0|7.2.0|7.2.0|7.2.0|7.2.0|7.2.0|7.2.0|7.2.0|7.2.0|7.2.0|7.2.0|7.2.0|5.4.0|2.38.0',build='he4fe6c7_1|hc67e822_2|hc67e822_3|hc67e822_7|hc67e822_8|hc67e822_9|hc67e822_11|hc67e822_15|25|h6176602_6|h6176602_8|h9595d00_15|h6176602_2|h454624a_30|h6176602_3|h6176602_9|h6176602_7|h6176602_1|had2808c_27|26|19|hc67e822_14|hc67e822_13|hc67e822_12|hc67e822_10|had2808c_24|hc2dff05_0']\n",
      "\n",
      "Package fontconfig conflicts for:\n",
      "cairo -> fontconfig[version='>=2.12.4,<3.0a0|>=2.12.6,<3.0a0|>=2.13.0,<3.0a0|>=2.13.1,<3.0a0']\n",
      "graphviz==2.40.1 -> fontconfig[version='>=2.13.0,<3.0a0']\n",
      "pango -> fontconfig[version='>=2.12.4,<3.0a0|>=2.12.6,<3.0a0|>=2.13.0,<3.0a0|>=2.13.1,<3.0a0']\n",
      "qt -> fontconfig[version='>=2.12.4,<3.0a0|>=2.12.6,<3.0a0|>=2.13.0,<3.0a0|>=2.13.1,<3.0a0']\n",
      "graphviz==2.40.1 -> cairo[version='>=1.14.12,<2.0a0'] -> fontconfig[version='>=2.12.4,<3.0a0|>=2.12.6,<3.0a0|>=2.13.1,<3.0a0']\n",
      "harfbuzz -> cairo[version='>=1.14.12,<2.0a0'] -> fontconfig[version='>=2.12.4,<3.0a0|>=2.12.6,<3.0a0|>=2.13.0,<3.0a0|>=2.13.1,<3.0a0']\n",
      "libopencv -> qt=5.12 -> fontconfig[version='>=2.13.1,<3.0a0']\n",
      "\n",
      "Package pyopenssl conflicts for:\n",
      "urllib3 -> pyopenssl[version='>=0.14']\n",
      "tensorboard -> google-auth[version='>=1.6.3'] -> pyopenssl[version='>=20.0.0']\n",
      "requests -> urllib3[version='>=1.21.1,<1.27'] -> pyopenssl[version='>=0.14']\n",
      "\n",
      "Package markdown conflicts for:\n",
      "tensorflow==1.14.0 -> tensorboard[version='>=1.14.0,<1.15.0'] -> markdown[version='>=2.6.8']\n",
      "tensorflow-base -> markdown[version='>=2.6.11']\n",
      "tensorflow-estimator -> tensorflow-base[version='>=2.0.0,<2.1.0a0'] -> markdown[version='>=2.6.11']\n",
      "tensorflow-base -> tensorboard[version='>=2.6.0,<2.7'] -> markdown[version='>=2.6.8']\n",
      "tensorboard -> markdown[version='>=2.6.11|>=2.6.8']\n",
      "\n",
      "Package pcre conflicts for:\n",
      "gstreamer -> glib[version='>=2.69.1,<3.0a0'] -> pcre[version='>=8.43,<9.0a0|>=8.44,<9.0a0|>=8.45,<9.0a0']\n",
      "pango -> pcre[version='>=8.42,<9.0a0|>=8.43,<9.0a0|>=8.44,<9.0a0']\n",
      "libglib -> pcre[version='>=8.45,<9.0a0']\n",
      "graphviz==2.40.1 -> glib[version='>=2.56.1,<2.57.0a0'] -> pcre[version='>=8.43,<9.0a0|>=8.44,<9.0a0|>=8.45,<9.0a0']\n",
      "qt -> glib[version='>=2.56.2,<2.57.0a0'] -> pcre[version='>=8.42,<9.0a0|>=8.45,<9.0a0|>=8.44,<9.0a0|>=8.43,<9.0a0']\n",
      "cairo -> glib[version='>=2.67.4,<3.0a0'] -> pcre[version='>=8.42,<9.0a0|>=8.44,<9.0a0|>=8.45,<9.0a0|>=8.43,<9.0a0']\n",
      "harfbuzz -> glib[version='>=2.69.1,<3.0a0'] -> pcre[version='>=8.42,<9.0a0|>=8.43,<9.0a0|>=8.44,<9.0a0|>=8.45,<9.0a0']\n",
      "gst-plugins-base -> glib[version='>=2.69.1,<3.0a0'] -> pcre[version='>=8.42,<9.0a0|>=8.44,<9.0a0|>=8.45,<9.0a0|>=8.43,<9.0a0']\n",
      "pango -> glib[version='>=2.65.0,<3.0a0'] -> pcre[version='>=8.45,<9.0a0']\n",
      "gstreamer -> pcre[version='>=8.42,<9.0a0']\n",
      "graphviz==2.40.1 -> pcre[version='>=8.42,<9.0a0']\n",
      "dbus -> glib -> pcre[version='>=8.42,<9.0a0|>=8.43,<9.0a0|>=8.44,<9.0a0|>=8.45,<9.0a0']\n",
      "\n",
      "Package packaging conflicts for:\n",
      "ipykernel -> packaging\n",
      "matplotlib-base -> packaging[version='>=20.0']\n",
      "seaborn -> statsmodels[version='>=0.5.0'] -> packaging[version='>=21.3']\n",
      "jupyter-dash==0.4.0 -> ipykernel -> packaging\n",
      "scikit-image==0.17.2 -> dask-core[version='>=0.15.0'] -> packaging[version='>=20.0']\n",
      "basemap==1.2.0 -> matplotlib-base[version='>=1.0.0'] -> packaging[version='>=20.0']\n",
      "numexpr -> packaging\n",
      "dask-core -> packaging[version='>=20.0']\n",
      "pandas -> numexpr[version='>=2.7.1'] -> packaging\n",
      "pycocotools==2.0.2 -> matplotlib-base -> packaging[version='>=20.0']\n",
      "networkx -> matplotlib-base[version='>=3.3'] -> packaging[version='>=20.0']\n",
      "imutils==0.5.4 -> matplotlib-base -> packaging[version='>=20.0']\n",
      "\n",
      "Package xorg-kbproto conflicts for:\n",
      "xorg-libxrender -> xorg-libx11[version='>=1.7.0,<2.0a0'] -> xorg-kbproto\n",
      "xorg-libx11 -> xorg-kbproto\n",
      "xorg-libxpm -> xorg-libx11[version='>=1.7.0,<2.0a0'] -> xorg-kbproto\n",
      "xorg-libxt -> xorg-kbproto\n",
      "cairo -> xorg-libx11 -> xorg-kbproto\n",
      "xorg-libxext -> xorg-libx11[version='>=1.7.0,<2.0a0'] -> xorg-kbproto\n",
      "\n",
      "Package itsdangerous conflicts for:\n",
      "dash -> flask[version='>=1.0.2'] -> itsdangerous[version='>=0.24|>=2.0']\n",
      "jupyter-dash==0.4.0 -> flask -> itsdangerous[version='>=0.21|>=0.24|>=2.0']\n",
      "flask-compress -> flask -> itsdangerous[version='>=0.21|>=0.24|>=2.0']\n",
      "flask -> itsdangerous[version='>=0.21|>=0.24|>=2.0']\n",
      "\n",
      "Package future conflicts for:\n",
      "jupyter-dash==0.4.0 -> dash -> future\n",
      "dash -> future\n",
      "tensorflow-base -> future\n",
      "tensorflow==1.14.0 -> tensorflow-base==1.14.0=gpu_py27he45bfe2_0 -> future\n",
      "tensorflow-estimator -> tensorflow-base[version='>=2.1.0,<2.2.0a0'] -> future\n",
      "\n",
      "Package h5py conflicts for:\n",
      "keras-applications -> h5py\n",
      "tensorflow-base -> keras-applications[version='>=1.0.8'] -> h5py\n",
      "tensorflow-base -> h5py[version='>=2.10.0,<2.11.0a0|>=3.1.0']\n",
      "tensorflow-estimator -> tensorflow-base[version='>=2.4.1,<2.5.0a0'] -> h5py[version='>=2.10.0,<2.11.0a0']\n",
      "\n",
      "Package cffi conflicts for:\n",
      "pytorch==1.5.0 -> cffi\n",
      "cryptography -> cffi[version='!=1.11.3,>=1.8|>=1.12|>=1.8|>=1.7']\n",
      "brotlipy -> cffi[version='>=1.0.0']\n",
      "urllib3 -> brotlipy[version='>=0.6.0'] -> cffi[version='!=1.11.3,>=1.8|>=1.0.0|>=1.12|>=1.8|>=1.7']\n",
      "pyopenssl -> cryptography[version='>=35.0'] -> cffi[version='!=1.11.3,>=1.8|>=1.12|>=1.8|>=1.7']\n",
      "flask-compress -> brotlipy -> cffi[version='>=1.0.0']\n",
      "\n",
      "Package astor conflicts for:\n",
      "tensorflow-estimator -> astor[version='>=0.6.0']\n",
      "tensorflow-estimator -> tensorflow-base[version='>=2.1.0,<2.2.0a0'] -> astor[version='>=0.6.2|>=0.6.2,<1.0a0']\n",
      "tensorflow-base -> astor[version='>=0.6.0|>=0.6.2|>=0.6.2,<1.0a0']\n",
      "tensorflow==1.14.0 -> tensorflow-base==1.14.0=gpu_py36he45bfe2_0 -> astor[version='>=0.6.0']\n",
      "\n",
      "Package urllib3 conflicts for:\n",
      "tensorboard -> requests[version='>=2.21.0'] -> urllib3[version='>=1.21.1,<1.25|>=1.21.1,<1.26,!=1.25.0,!=1.25.1|>=1.21.1,<1.27']\n",
      "jupyter-dash==0.4.0 -> requests -> urllib3[version='>=1.21.1,<1.23|>=1.21.1,<1.24|>=1.21.1,<1.25|>=1.21.1,<1.26,!=1.25.0,!=1.25.1|>=1.21.1,<1.27']\n",
      "requests -> urllib3[version='>=1.21.1,<1.23|>=1.21.1,<1.24|>=1.21.1,<1.25|>=1.21.1,<1.26,!=1.25.0,!=1.25.1|>=1.21.1,<1.27']\n",
      "plotly -> requests -> urllib3[version='>=1.21.1,<1.23|>=1.21.1,<1.24|>=1.21.1,<1.25|>=1.21.1,<1.26,!=1.25.0,!=1.25.1|>=1.21.1,<1.27']\n",
      "\n",
      "Package pickleshare conflicts for:\n",
      "ipykernel -> ipython[version='>=7.23.1'] -> pickleshare\n",
      "ipython -> pickleshare\n",
      "jupyter-dash==0.4.0 -> ipython -> pickleshare\n",
      "\n",
      "Package wcwidth conflicts for:\n",
      "prompt-toolkit -> wcwidth\n",
      "ipython -> prompt-toolkit[version='>=2.0.0,<3.1.0,!=3.0.0,!=3.0.1'] -> wcwidth\n",
      "\n",
      "Package zipp conflicts for:\n",
      "ansi2html -> importlib-metadata -> zipp[version='>=0.5']\n",
      "markdown -> importlib-metadata -> zipp[version='>=0.5']\n",
      "flask -> importlib-metadata[version='>=3.6.0'] -> zipp[version='>=0.5']\n",
      "importlib-metadata -> zipp[version='>=0.5']\n",
      "click -> importlib-metadata -> zipp[version='>=0.5']\n",
      "ipykernel -> importlib-metadata[version='<5'] -> zipp[version='>=0.5']\n",
      "\n",
      "Package ffmpeg conflicts for:\n",
      "py-opencv -> opencv==4.5.4 -> ffmpeg[version='>=3.4,<3.5.0a0|>=4.0,<4.1.0a0|>=4.2.2,<4.3.0a0|>=4.1.3,<4.2.0a0']\n",
      "libopencv -> ffmpeg[version='>=3.4,<3.5.0a0|>=4.0,<4.1.0a0|>=4.1.3,<4.2.0a0']\n",
      "libopencv -> opencv==4.5.4 -> ffmpeg[version='>=4.2.2,<4.3.0a0']\n",
      "imutils==0.5.4 -> opencv -> ffmpeg[version='>=3.4,<3.5.0a0|>=4.2.2,<4.3.0a0']\n",
      "opencv==3.4.9 -> libopencv==3.4.9=py37_2 -> ffmpeg[version='>=4.1.3,<4.2.0a0']\n",
      "\n",
      "Package numpydoc conflicts for:\n",
      "jedi -> numpydoc\n",
      "ipython -> jedi[version='>=0.10,<0.18'] -> numpydoc\n",
      "\n",
      "Package libiconv conflicts for:\n",
      "libopencv -> ffmpeg[version='>=4.1.3,<4.2.0a0'] -> libiconv[version='>=1.15,<1.17.0a0']\n",
      "gstreamer -> libglib[version='>=2.70.2,<3.0a0'] -> libiconv[version='>=1.16,<1.17.0a0']\n",
      "ffmpeg -> libiconv[version='>=1.15,<1.17.0a0']\n",
      "gettext -> libxml2[version='>=2.9.10,<2.10.0a0'] -> libiconv[version='>=1.16,<1.17.0a0']\n",
      "libxkbcommon -> libxml2[version='>=2.9.12,<2.10.0a0'] -> libiconv[version='>=1.16,<1.17.0a0']\n",
      "fontconfig -> libxml2[version='>=2.9.10,<2.10.0a0'] -> libiconv[version='>=1.16,<1.17.0a0']\n",
      "libglib -> libiconv[version='>=1.16,<1.17.0a0']\n",
      "gst-plugins-base -> libglib[version='>=2.70.2,<3.0a0'] -> libiconv[version='>=1.16,<1.17.0a0']\n",
      "libxml2 -> libiconv[version='>=1.16,<1.17.0a0']\n",
      "dbus -> libglib[version='>=2.70.2,<3.0a0'] -> libiconv[version='>=1.16,<1.17.0a0']\n",
      "libarchive -> libxml2[version='>=2.9.9,<2.10.0a0'] -> libiconv[version='>=1.16,<1.17.0a0']\n",
      "harfbuzz -> libglib[version='>=2.68.4,<3.0a0'] -> libiconv[version='>=1.16,<1.17.0a0']\n",
      "graphviz==2.40.1 -> libxml2[version='>=2.9.8,<2.10.0a0'] -> libiconv[version='>=1.16,<1.17.0a0']\n",
      "cairo -> libglib[version='>=2.68.0,<3.0a0'] -> libiconv[version='>=1.16,<1.17.0a0']\n",
      "ibm_db==3.0.4 -> libxml2[version='>=2.9.10,<2.10.0a0'] -> libiconv[version='>=1.16,<1.17.0a0']\n",
      "pango -> libxml2[version='>=2.9.10,<2.10.0a0'] -> libiconv[version='>=1.16,<1.17.0a0']\n",
      "qt -> libxml2[version='>=2.9.8,<2.10.0a0'] -> libiconv[version='>=1.16,<1.17.0a0']\n",
      "\n",
      "Package retrying conflicts for:\n",
      "dash -> plotly -> retrying[version='>=1.3.3']\n",
      "jupyter-dash==0.4.0 -> retrying\n",
      "plotly -> retrying[version='>=1.3.3']\n",
      "\n",
      "Package cairo conflicts for:\n",
      "harfbuzz -> cairo[version='1.14.*|>=1.14.10,<2.0a0|>=1.14.12,<2.0a0|>=1.16.0,<1.17.0a0']\n",
      "graphviz==2.40.1 -> cairo[version='>=1.14.12,<2.0a0|>=1.16.0,<1.17.0a0']\n",
      "pango -> harfbuzz[version='>=1.7.4,<2.0a0'] -> cairo[version='1.14.*|>=1.14.10,<2.0a0']\n",
      "libopencv -> harfbuzz[version='>=1.7.6,<2.0a0'] -> cairo[version='1.14.*|>=1.14.10,<2.0a0|>=1.14.12,<2.0a0|>=1.16.0,<1.17.0a0']\n",
      "pango -> cairo[version='>=1.14.12,<2.0a0|>=1.16.0,<1.17.0a0']\n",
      "\n",
      "Package openjpeg conflicts for:\n",
      "pillow -> openjpeg[version='>=2.3.0,<3.0a0']\n",
      "imutils==0.5.4 -> opencv -> openjpeg[version='>=2.3.0,<3.0a0']\n",
      "imageio -> pillow -> openjpeg[version='>=2.3.0,<3.0a0']\n",
      "libopencv -> opencv==4.5.4 -> openjpeg[version='>=2.3.0,<3.0a0']\n",
      "matplotlib-base -> pillow[version='>=6.2.0'] -> openjpeg[version='>=2.3.0,<3.0a0']\n",
      "scikit-image==0.17.2 -> pillow[version='>=4.3.0'] -> openjpeg[version='>=2.3.0,<3.0a0']\n",
      "tifffile -> imagecodecs[version='>=2021.4.28'] -> openjpeg[version='>=2.3.0,<3.0a0']\n",
      "tesseract==4.1.1 -> openjpeg[version='>=2.3.1,<2.4.0a0']\n",
      "leptonica -> openjpeg[version='>=2.3.1,<2.4.0a0']\n",
      "py-opencv -> opencv==4.5.4 -> openjpeg[version='>=2.3.0,<3.0a0']\n",
      "\n",
      "Package lzo conflicts for:\n",
      "libarchive -> lzo[version='>=2.10,<3.0a0']\n",
      "tesseract==4.1.1 -> libarchive[version='>=3.3.3,<3.6.0a0'] -> lzo[version='>=2.10,<3.0a0']\n",
      "\n",
      "Package llvm-openmp conflicts for:\n",
      "pytorch==1.5.0 -> blas=[build=mkl] -> llvm-openmp[version='>=12.0.1|>=13.0.1']\n",
      "libblas -> mkl[version='>=2022.0.1,<2023.0a0'] -> llvm-openmp[version='>=12.0.1']\n",
      "libgcc-ng -> _openmp_mutex[version='>=4.5'] -> llvm-openmp[version='>=9.0.1']\n",
      "blas -> _openmp_mutex=[build=*_llvm] -> llvm-openmp[version='>=9.0.1']\n",
      "tensorflow-base -> mkl[version='>=2018.0.2'] -> llvm-openmp[version='>=12.0.1']\n",
      "mkl -> llvm-openmp[version='>=12.0.1']\n",
      "mkl-devel -> mkl==2022.0.1=h8d4b97c_803 -> llvm-openmp[version='>=12.0.1|>=13.0.1']\n",
      "blas -> llvm-openmp[version='>=13.0.1']\n",
      "scipy -> mkl[version='>=2018.0.3'] -> llvm-openmp[version='>=12.0.1|>=13.0.1']\n",
      "blas-devel -> mkl[version='>=2022.0.1,<2023.0a0'] -> llvm-openmp[version='>=12.0.1']\n",
      "_openmp_mutex -> llvm-openmp[version='>=9.0.1']\n",
      "numpy -> mkl[version='>=2018.0.3'] -> llvm-openmp[version='>=12.0.1|>=13.0.1']\n",
      "numexpr -> mkl[version='>=2018.0.3'] -> llvm-openmp[version='>=12.0.1|>=13.0.1']\n",
      "mkl -> _openmp_mutex=[build=*_llvm] -> llvm-openmp[version='>=9.0.1']\n",
      "\n",
      "Package x264 conflicts for:\n",
      "libopencv -> ffmpeg[version='>=4.1.3,<4.2.0a0'] -> x264[version='>=1!152.20180806,<1!153']\n",
      "ffmpeg -> x264[version='>=1!152.20180806,<1!153|>=1!157.20191217,<1!158']\n",
      "\n",
      "Package libxml2 conflicts for:\n",
      "pango -> libxml2[version='>=2.9.10,<2.10.0a0|>=2.9.9,<2.10.0a0|>=2.9.8,<2.10.0a0']\n",
      "libopencv -> qt=5.12 -> libxml2[version='>=2.9.10,<2.10.0a0']\n",
      "xorg-libxpm -> gettext[version='>=0.19.8.1,<1.0a0'] -> libxml2[version='>=2.9.10,<2.10.0a0']\n",
      "gst-plugins-base -> gettext -> libxml2[version='>=2.9.10,<2.10.0a0']\n",
      "qt -> fontconfig[version='>=2.12.4,<3.0a0'] -> libxml2[version='>=2.9.4,<2.10.0a0']\n",
      "qt -> libxml2[version='>=2.9.10,<2.10.0a0|>=2.9.7,<2.10.0a0|>=2.9.8,<2.10.0a0']\n",
      "cairo -> fontconfig[version='>=2.13.1,<3.0a0'] -> libxml2[version='>=2.9.10,<2.10.0a0|>=2.9.8,<2.10.0a0|>=2.9.7,<2.10.0a0|>=2.9.4,<2.10.0a0']\n",
      "graphviz==2.40.1 -> libxml2[version='>=2.9.8,<2.10.0a0']\n",
      "pango -> fontconfig[version='>=2.13.0,<3.0a0'] -> libxml2[version='>=2.9.4,<2.10.0a0|>=2.9.7,<2.10.0a0']\n",
      "graphviz==2.40.1 -> fontconfig[version='>=2.13.0,<3.0a0'] -> libxml2[version='>=2.9.10,<2.10.0a0|>=2.9.7,<2.10.0a0|>=2.9.9,<2.10.0a0']\n",
      "gettext -> libxml2[version='>=2.9.10,<2.10.0a0']\n",
      "fontconfig -> libxml2[version='>=2.9.10,<2.10.0a0|>=2.9.8,<2.10.0a0|>=2.9.7,<2.10.0a0|>=2.9.4,<2.10.0a0']\n",
      "gstreamer -> gettext -> libxml2[version='>=2.9.10,<2.10.0a0']\n",
      "tesseract==4.1.1 -> libarchive[version='>=3.3.3,<3.6.0a0'] -> libxml2[version='>=2.9.10,<2.10.0a0|>=2.9.8,<2.10.0a0|>=2.9.9,<2.10.0a0|>=2.9.12,<2.10.0a0']\n",
      "libxkbcommon -> libxml2[version='>=2.9.10,<2.10.0a0|>=2.9.12,<2.10.0a0']\n",
      "ibm_db==3.0.4 -> libxml2[version='>=2.9.10,<2.10.0a0']\n",
      "libglib -> gettext[version='>=0.19.8.1,<1.0a0'] -> libxml2[version='>=2.9.10,<2.10.0a0']\n",
      "libarchive -> libxml2[version='>=2.9.10,<2.10.0a0|>=2.9.4,<2.10.0a0|>=2.9.7,<2.10.0a0|>=2.9.8,<2.10.0a0|>=2.9.9,<2.10.0a0|>=2.9.12,<2.10.0a0']\n",
      "\n",
      "Package libev conflicts for:\n",
      "libcurl -> libnghttp2[version='>=1.46.0,<2.0a0'] -> libev[version='>=4.11|>=4.33,<4.34.0a0']\n",
      "libnghttp2 -> libev[version='>=4.11|>=4.33,<4.34.0a0']\n",
      "\n",
      "Package brotli conflicts for:\n",
      "matplotlib-base -> fonttools[version='>=4.22.0'] -> brotli[version='>=1.0.1']\n",
      "tifffile -> imagecodecs[version='>=2021.4.28'] -> brotli[version='>=1.0.7,<1.1.0a0|>=1.0.9,<1.1.0a0|>=1.0.9,<2.0a0']\n",
      "fonttools -> brotli[version='>=1.0.1']\n",
      "\n",
      "Package xorg-libxext conflicts for:\n",
      "graphviz==2.40.1 -> cairo[version='>=1.14.12,<2.0a0'] -> xorg-libxext=1.3\n",
      "cairo -> xorg-libxext\n",
      "xorg-libxpm -> xorg-libxext=1.3\n",
      "pango -> cairo[version='>=1.14.12,<2.0a0'] -> xorg-libxext\n",
      "harfbuzz -> cairo[version='>=1.14.12,<2.0a0'] -> xorg-libxext\n",
      "\n",
      "Package icu conflicts for:\n",
      "qt -> icu[version='>=58.2,<59.0a0|>=68.1,<69.0a0']\n",
      "pango -> icu[version='>=58.2,<59.0a0']\n",
      "imutils==0.5.4 -> matplotlib-base -> icu[version='>=58.2,<59.0a0']\n",
      "libxkbcommon -> libxml2[version='>=2.9.12,<2.10.0a0'] -> icu[version='>=58.2,<59.0a0|>=68.1,<69.0a0']\n",
      "harfbuzz -> icu[version='>=58.2,<59.0a0|>=68.1,<69.0a0']\n",
      "scikit-image==0.17.2 -> matplotlib-base[version='>=2.0.0'] -> icu[version='>=58.2,<59.0a0']\n",
      "tensorflow-base -> icu[version='>=68.1,<69.0a0']\n",
      "graphviz==2.40.1 -> icu[version='>=58.2,<59.0a0']\n",
      "libopencv -> harfbuzz[version='>=1.7.6,<2.0a0'] -> icu[version='>=58.2,<59.0a0|>=68.1,<69.0a0']\n",
      "gettext -> libxml2[version='>=2.9.10,<2.10.0a0'] -> icu[version='>=58.2,<59.0a0|>=68.1,<69.0a0']\n",
      "graphviz==2.40.1 -> cairo[version='>=1.14.12,<2.0a0'] -> icu[version='>=68.1,<69.0a0']\n",
      "fontconfig -> libxml2[version='>=2.9.10,<2.10.0a0'] -> icu[version='>=68.1,<69.0a0']\n",
      "pango -> cairo[version='>=1.14.12,<2.0a0'] -> icu[version='>=68.1,<69.0a0']\n",
      "pycocotools==2.0.2 -> matplotlib-base -> icu[version='>=58.2,<59.0a0']\n",
      "libarchive -> libxml2[version='>=2.9.9,<2.10.0a0'] -> icu[version='>=58.2,<59.0a0|>=68.1,<69.0a0']\n",
      "cairo -> icu[version='>=58.2,<59.0a0|>=68.1,<69.0a0']\n",
      "seaborn -> matplotlib[version='>=2.2'] -> icu[version='>=58.2,<59.0a0']\n",
      "matplotlib-base -> icu[version='>=58.2,<59.0a0']\n",
      "libxml2 -> icu[version='>=58.2,<59.0a0|>=68.1,<69.0a0']\n",
      "fontconfig -> icu[version='>=58.2,<59.0a0']\n",
      "ibm_db==3.0.4 -> libxml2[version='>=2.9.10,<2.10.0a0'] -> icu[version='>=58.2,<59.0a0|>=68.1,<69.0a0']\n",
      "basemap==1.2.0 -> matplotlib-base[version='>=1.0.0'] -> icu[version='>=58.2,<59.0a0']\n",
      "\n",
      "Package pyparsing conflicts for:\n",
      "packaging -> pyparsing[version='>=2.0.2|>=2.0.2,!=3.0.5']\n",
      "matplotlib-base -> packaging[version='>=20.0'] -> pyparsing[version='>=2.0.2|>=2.0.2,!=3.0.5']\n",
      "matplotlib-base -> pyparsing[version='>=2.0.3,!=2.0.4,!=2.1.2,!=2.1.6|>=2.2.1']\n",
      "basemap==1.2.0 -> matplotlib-base[version='>=1.0.0'] -> pyparsing[version='>=2.0.3,!=2.0.4,!=2.1.2,!=2.1.6|>=2.2.1']\n",
      "ipykernel -> packaging -> pyparsing[version='>=2.0.2|>=2.0.2,!=3.0.5']\n",
      "imutils==0.5.4 -> matplotlib-base -> pyparsing[version='>=2.0.3,!=2.0.4,!=2.1.2,!=2.1.6|>=2.2.1']\n",
      "networkx -> matplotlib-base[version='>=3.3'] -> pyparsing[version='>=2.0.3,!=2.0.4,!=2.1.2,!=2.1.6|>=2.2.1']\n",
      "pycocotools==2.0.2 -> matplotlib-base -> pyparsing[version='>=2.0.3,!=2.0.4,!=2.1.2,!=2.1.6|>=2.2.1']\n",
      "numexpr -> packaging -> pyparsing[version='>=2.0.2|>=2.0.2,!=3.0.5']\n",
      "scikit-image==0.17.2 -> matplotlib-base[version='>=2.0.0'] -> pyparsing[version='>=2.0.3,!=2.0.4,!=2.1.2,!=2.1.6|>=2.2.1']\n",
      "dask-core -> packaging[version='>=20.0'] -> pyparsing[version='>=2.0.2|>=2.0.2,!=3.0.5']\n",
      "seaborn -> matplotlib[version='>=2.2'] -> pyparsing\n",
      "\n",
      "Package libgcc-devel_linux-64 conflicts for:\n",
      "gcc_impl_linux-64 -> libgcc-devel_linux-64[version='11.2.0|11.2.0|7.5.0|8.4.0|9.3.0',build='h1234567_1|hbbeae57_17|hd257e2f_17|hb95220a_17|h1234567_0']\n",
      "gcc_linux-64 -> gcc_impl_linux-64=9.3.0 -> libgcc-devel_linux-64[version='11.2.0|11.2.0|7.5.0|8.4.0|9.3.0',build='h1234567_1|hbbeae57_17|hd257e2f_17|hb95220a_17|h1234567_0']\n",
      "gxx_impl_linux-64 -> gcc_impl_linux-64==9.3.0=h6df7d76_17 -> libgcc-devel_linux-64[version='11.2.0|11.2.0|7.5.0|8.4.0|9.3.0',build='h1234567_1|hbbeae57_17|hd257e2f_17|hb95220a_17|h1234567_0']\n",
      "\n",
      "Package libwebp conflicts for:\n",
      "libopencv -> opencv==4.5.4 -> libwebp[version='>=1.2.0,<1.3.0a0']\n",
      "imutils==0.5.4 -> opencv -> libwebp[version='>=1.2.0,<1.3.0a0']\n",
      "pillow -> libwebp[version='>=0.3.0|>=1.2.0,<1.3.0a0']\n",
      "opencv==3.4.9 -> libopencv==3.4.9=py37_2 -> libwebp[version='>=1.0.2,<1.1.0a0']\n",
      "imageio -> pillow -> libwebp[version='>=0.3.0|>=1.2.0,<1.3.0a0']\n",
      "matplotlib-base -> pillow[version='>=6.2.0'] -> libwebp[version='>=0.3.0|>=1.2.0,<1.3.0a0']\n",
      "libopencv -> libwebp[version='>=1.0.2,<1.1.0a0']\n",
      "tifffile -> imagecodecs[version='>=2021.4.28'] -> libwebp[version='>=1.0.0,<1.1.0a0|>=1.2.0,<1.3.0a0']\n",
      "leptonica -> libwebp[version='>=1.0.2,<1.1.0a0']\n",
      "tesseract==4.1.1 -> libwebp[version='>=1.0.2,<1.1.0a0']\n",
      "py-opencv -> opencv==4.5.4 -> libwebp[version='>=1.0.2,<1.1.0a0|>=1.2.0,<1.3.0a0']\n",
      "scikit-image==0.17.2 -> pillow[version='>=4.3.0'] -> libwebp[version='>=0.3.0|>=1.2.0,<1.3.0a0']\n",
      "\n",
      "Package brotli-python conflicts for:\n",
      "flask-compress -> brotli-python\n",
      "dash -> flask-compress -> brotli-python\n",
      "\n",
      "Package nbformat conflicts for:\n",
      "plotly -> nbformat[version='>=4.2']\n",
      "dash -> plotly -> nbformat[version='>=4.2']\n",
      "\n",
      "Package entrypoints conflicts for:\n",
      "jupyter_client -> entrypoints\n",
      "ipykernel -> jupyter_client[version='<8.0'] -> entrypoints\n",
      "\n",
      "Package pandas conflicts for:\n",
      "seaborn -> statsmodels[version='>=0.5.0'] -> pandas[version='>=0.14|>=0.21|>=1.0']\n",
      "seaborn -> pandas[version='>=0.14.0|>=0.22.0|>=0.23']\n",
      "networkx -> pandas[version='>=1.1']\n",
      "scikit-image==0.17.2 -> networkx[version='>=2.0'] -> pandas[version='>=1.1']\n",
      "\n",
      "Package jasper conflicts for:\n",
      "py-opencv -> libopencv==3.4.2=hb342d67_1 -> jasper[version='>=1.900.1,<2.0a0|>=2.0.14,<3.0a0']\n",
      "opencv==3.4.9 -> libopencv==3.4.9=py37_2 -> jasper[version='>=1.900.1,<2.0a0']\n",
      "libopencv -> jasper[version='>=1.900.1,<2.0a0|>=2.0.14,<3.0a0']\n",
      "imutils==0.5.4 -> opencv -> jasper[version='>=1.900.1,<2.0a0|>=2.0.14,<3.0a0']\n",
      "\n",
      "Package libbrotlicommon conflicts for:\n",
      "brotli -> libbrotlidec==1.0.9=h166bdaf_7 -> libbrotlicommon==1.0.9=h166bdaf_7\n",
      "libbrotlidec -> libbrotlicommon==1.0.9=h166bdaf_7\n",
      "brotli-bin -> libbrotlidec==1.0.9=h166bdaf_7 -> libbrotlicommon==1.0.9=h166bdaf_7\n",
      "libbrotlienc -> libbrotlicommon==1.0.9=h166bdaf_7\n",
      "\n",
      "Package fribidi conflicts for:\n",
      "pango -> fribidi[version='>=1.0.10,<2.0a0|>=1.0.2,<2.0a0|>=1.0.4,<2.0a0|>=1.0.5,<2.0a0|>=1.0.9,<2.0a0']\n",
      "graphviz==2.40.1 -> fribidi[version='>=1.0.4,<2.0a0']\n",
      "graphviz==2.40.1 -> pango[version='>=1.42.1,<2.0a0'] -> fribidi[version='>=1.0.10,<2.0a0|>=1.0.2,<2.0a0|>=1.0.5,<2.0a0|>=1.0.9,<2.0a0']\n",
      "\n",
      "Package xorg-xproto conflicts for:\n",
      "graphviz==2.40.1 -> xorg-libxpm -> xorg-xproto\n",
      "xorg-libx11 -> xorg-xproto\n",
      "xorg-libxt -> xorg-xproto\n",
      "xorg-libxext -> xorg-libx11[version='>=1.7.0,<2.0a0'] -> xorg-xproto\n",
      "xorg-libxrender -> xorg-libx11[version='>=1.7.0,<2.0a0'] -> xorg-xproto\n",
      "cairo -> xorg-libx11 -> xorg-xproto\n",
      "xorg-libxpm -> xorg-xproto\n",
      "\n",
      "Package pytz conflicts for:\n",
      "plotly -> pytz\n",
      "pandas -> pytz[version='>=2017.2|>=2017.3|>=2020.1']\n",
      "dash -> plotly -> pytz\n",
      "basemap==1.2.0 -> matplotlib[version='>=1.0.0'] -> pytz\n",
      "seaborn -> matplotlib[version='>=2.2'] -> pytz[version='>=2017.2|>=2017.3|>=2020.1']\n",
      "networkx -> pandas[version='>=1.1'] -> pytz[version='>=2017.2|>=2017.3|>=2020.1']\n",
      "\n",
      "Package decorator conflicts for:\n",
      "scikit-image==0.17.2 -> networkx[version='>=2.0'] -> decorator[version='>=3.4.0|>=4.1.0|>=4.3.0|>=4.3.0,<5']\n",
      "ipykernel -> ipython[version='>=7.23.1'] -> decorator\n",
      "traitlets -> decorator\n",
      "jupyter_client -> traitlets -> decorator\n",
      "plotly -> decorator[version='>=4.0.6']\n",
      "dash -> plotly -> decorator[version='>=4.0.6']\n",
      "ipython -> decorator\n",
      "networkx -> decorator[version='>=3.4.0|>=4.1.0|>=4.3.0|>=4.3.0,<5']\n",
      "matplotlib-inline -> traitlets -> decorator\n",
      "jupyter-dash==0.4.0 -> ipython -> decorator\n",
      "\n",
      "Package qt conflicts for:\n",
      "libopencv -> opencv==4.5.4 -> qt[version='5.9.7|>=5.9.7,<5.10.0a0']\n",
      "libopencv -> qt[version='5.12.*|>=5.12.1,<5.13.0a0']\n",
      "py-opencv -> opencv==4.5.4 -> qt[version='5.12.*|5.9.7|>=5.9.7,<5.10.0a0|>=5.12.1,<5.13.0a0']\n",
      "imutils==0.5.4 -> opencv -> qt[version='5.9.7|>=5.9.7,<5.10.0a0']\n",
      "opencv==3.4.9 -> libopencv==3.4.9=py37_2 -> qt[version='5.12.*|>=5.12.1,<5.13.0a0']\n",
      "\n",
      "Package cloudpickle conflicts for:\n",
      "dask-core -> cloudpickle[version='>=1.1.1']\n",
      "scikit-image==0.17.2 -> cloudpickle[version='>=0.2.1']\n",
      "scikit-image==0.17.2 -> dask-core[version='>=0.15.0'] -> cloudpickle[version='>=1.1.1']\n",
      "\n",
      "Package c-ares conflicts for:\n",
      "grpcio -> c-ares[version='>=1.15.0,<2.0a0|>=1.17.1,<2.0a0|>=1.18.1,<2.0a0']\n",
      "tensorflow-base -> grpcio -> c-ares[version='>=1.15.0,<2.0a0|>=1.17.1,<2.0a0|>=1.18.1,<2.0a0']\n",
      "libcurl -> libnghttp2[version='>=1.46.0,<2.0a0'] -> c-ares[version='>=1.16.1,<2.0a0|>=1.17.1,<2.0a0|>=1.7.5|>=1.18.1,<2.0a0']\n",
      "tensorflow-estimator -> grpcio[version='>=1.8.6'] -> c-ares[version='>=1.15.0,<2.0a0|>=1.17.1,<2.0a0|>=1.18.1,<2.0a0']\n",
      "libnghttp2 -> c-ares[version='>=1.16.1,<2.0a0|>=1.17.1,<2.0a0|>=1.7.5|>=1.18.1,<2.0a0']\n",
      "tensorboard -> grpcio[version='>=1.24.3'] -> c-ares[version='>=1.15.0,<2.0a0|>=1.17.1,<2.0a0|>=1.18.1,<2.0a0']\n",
      "\n",
      "Package dbus conflicts for:\n",
      "qt -> dbus[version='>=1.10.22,<2.0a0|>=1.12.2,<2.0a0|>=1.13.2,<2.0a0|>=1.13.6,<2.0a0']\n",
      "maven==3.6.0 -> openjdk -> dbus\n",
      "libopencv -> qt=5.12 -> dbus[version='>=1.13.6,<2.0a0']\n",
      "\n",
      "Package gcc_impl_linux-64 conflicts for:\n",
      "gxx_impl_linux-64 -> gcc_impl_linux-64[version='11.2.0|11.2.0|5.4.0|7.2.0|7.2.0|7.3.0|7.3.0|7.5.0|8.4.0|9.3.0',build='h1234567_1|habb00fd_3|hc5ce805_2|habb00fd_3|habb00fd_0|habb00fd_1|he7ac559_17|h6df7d76_17|h7105cf2_17|h1234567_0']\n",
      "gcc_linux-64 -> gcc_impl_linux-64[version='11.2.0.*|5.4.0.*|7.2.0.*|7.3.0.*|7.5.0.*|8.2.0.*|8.4.0.*|9.3.0.*']\n",
      "gxx_linux-64==7.2.0 -> gcc_linux-64==7.2.0=h550dcbe_27 -> gcc_impl_linux-64[version='7.2.0|7.2.0|7.2.0.*',build='hc5ce805_2|habb00fd_3']\n",
      "\n",
      "Package ptyprocess conflicts for:\n",
      "ipython -> pexpect[version='>4.3'] -> ptyprocess[version='>=0.5']\n",
      "pexpect -> ptyprocess[version='>=0.5']\n",
      "\n",
      "Package tbb conflicts for:\n",
      "libblas -> mkl[version='>=2022.0.1,<2023.0a0'] -> tbb=2021\n",
      "pytorch==1.5.0 -> mkl[version='>=2018'] -> tbb=2021\n",
      "numpy -> mkl[version='>=2018.0.3'] -> tbb=2021\n",
      "mkl -> tbb=2021\n",
      "numexpr -> mkl[version='>=2018.0.3'] -> tbb=2021\n",
      "scipy -> mkl[version='>=2018.0.3'] -> tbb=2021\n",
      "tensorflow-base -> mkl[version='>=2018.0.2'] -> tbb=2021\n",
      "mkl-devel -> mkl==2022.0.1=h8d4b97c_803 -> tbb=2021\n",
      "blas-devel -> mkl[version='>=2022.0.1,<2023.0a0'] -> tbb=2021\n",
      "\n",
      "Package pthread-stubs conflicts for:\n",
      "libxcb -> pthread-stubs\n",
      "cairo -> libxcb[version='>=1.13,<2.0a0'] -> pthread-stubs\n",
      "qt -> libxcb[version='>=1.13,<2.0a0'] -> pthread-stubs\n",
      "gst-plugins-base -> libxcb[version='>=1.13,<2.0a0'] -> pthread-stubs\n",
      "graphviz==2.40.1 -> libxcb -> pthread-stubs\n",
      "harfbuzz -> libxcb[version='>=1.13,<2.0a0'] -> pthread-stubs\n",
      "xorg-libx11 -> libxcb=1 -> pthread-stubs\n",
      "\n",
      "Package brotlipy conflicts for:\n",
      "urllib3 -> brotlipy[version='>=0.6.0']\n",
      "dash -> flask-compress -> brotlipy\n",
      "flask-compress -> brotlipy\n",
      "requests -> urllib3[version='>=1.21.1,<1.27'] -> brotlipy[version='>=0.6.0']\n",
      "\n",
      "Package absl-py conflicts for:\n",
      "tensorflow-base -> tensorboard[version='>=2.6.0,<2.7'] -> absl-py[version='>=0.4']\n",
      "tensorflow==1.14.0 -> tensorboard[version='>=1.14.0,<1.15.0'] -> absl-py[version='>=0.4|>=0.7.0']\n",
      "tensorflow-base -> absl-py[version='>=0.1.6|>=0.10.0|>=0.11.0|>=0.7.1|>=0.8.1|>=0.7.1,<1.0a0|>=0.7.0']\n",
      "tensorflow-estimator -> absl-py[version='>=0.1.6|>=0.7.0']\n",
      "tensorflow-estimator -> tensorflow-base[version='>=2.4.1,<2.5.0a0'] -> absl-py[version='>=0.11.0|>=0.7.1|>=0.8.1|>=0.7.1,<1.0a0']\n",
      "tensorboard -> absl-py[version='>=0.4|>=0.7']\n",
      "\n",
      "Package keras-preprocessing conflicts for:\n",
      "tensorflow-estimator -> tensorflow-base[version='>=2.4.1,<2.5.0a0'] -> keras-preprocessing[version='>=1.0.5|>=1.0.5,<2.0a0|>=1.1.0|>=1.1.2']\n",
      "tensorflow-base -> keras-preprocessing[version='>=1.0.3|>=1.0.5|>=1.0.5,<2.0a0|>=1.1.0|>=1.1.2']\n",
      "tensorflow==1.14.0 -> tensorflow-base==1.14.0=gpu_py36he45bfe2_0 -> keras-preprocessing[version='>=1.0.5']\n",
      "\n",
      "Package expat conflicts for:\n",
      "maven==3.6.0 -> openjdk -> expat\n",
      "libarchive -> expat[version='>=2.2.4,<3.0a0']\n",
      "qt -> dbus[version='>=1.13.2,<2.0a0'] -> expat[version='>=2.2.10,<3.0a0|>=2.4.2,<3.0a0|>=2.4.8,<3.0a0']\n",
      "dbus -> expat[version='>=2.2.10,<3.0a0|>=2.2.6,<3.0a0|>=2.2.5,<3.0a0|>=2.4.2,<3.0a0']\n",
      "fontconfig -> expat[version='>=2.4.8,<3.0a0']\n",
      "qt -> expat[version='>=2.2.10,<3.0.0a0|>=2.2.5,<3.0a0|>=2.2.6,<3.0a0']\n",
      "libopencv -> qt=5.12 -> expat[version='>=2.2.10,<3.0.0a0']\n",
      "graphviz==2.40.1 -> expat[version='>=2.2.5,<3.0.0a0|>=2.2.5,<3.0a0']\n",
      "pango -> fontconfig[version='>=2.13.0,<3.0a0'] -> expat[version='>=2.4.8,<3.0a0']\n",
      "cairo -> fontconfig[version='>=2.13.1,<3.0a0'] -> expat[version='>=2.4.8,<3.0a0']\n",
      "graphviz==2.40.1 -> fontconfig[version='>=2.13.0,<3.0a0'] -> expat[version='>=2.4.8,<3.0a0']\n",
      "\n",
      "Package sysroot_linux-64 conflicts for:\n",
      "binutils_impl_linux-64 -> sysroot_linux-64\n",
      "gxx_impl_linux-64 -> sysroot_linux-64\n",
      "gcc_linux-64 -> sysroot_linux-64\n",
      "gcc_impl_linux-64 -> sysroot_linux-64\n",
      "binutils_linux-64 -> sysroot_linux-64\n",
      "\n",
      "Package backports conflicts for:\n",
      "tensorflow-base -> backports.weakref[version='>=1.0'] -> backports\n",
      "tornado -> ssl_match_hostname -> backports\n",
      "wcwidth -> backports.functools_lru_cache -> backports\n",
      "backports.functools_lru_cache -> backports\n",
      "entrypoints -> configparser -> backports\n",
      "ipython -> backports.shutil_get_terminal_size -> backports\n",
      "\n",
      "Package gast conflicts for:\n",
      "tensorflow==1.14.0 -> tensorflow-base==1.14.0=gpu_py36he45bfe2_0 -> gast[version='>=0.2.0']\n",
      "tensorflow-estimator -> gast[version='>=0.2.0']\n",
      "tensorflow-base -> gast[version='0.4.0|>=0.4.0,<0.4.1.0a0|>=0.3.3,<0.3.4.0a0|>=0.2.2,<0.2.3.0a0|>=0.2.0']\n",
      "tensorflow-estimator -> tensorflow-base[version='>=2.4.1,<2.5.0a0'] -> gast[version='>=0.2.2,<0.2.3.0a0|>=0.3.3,<0.3.4.0a0|>=0.4.0,<0.4.1.0a0']\n",
      "\n",
      "Package scandir conflicts for:\n",
      "ipython -> pathlib2 -> scandir\n",
      "pickleshare -> pathlib2 -> scandir\n",
      "\n",
      "Package tensorflow-estimator conflicts for:\n",
      "tensorflow==1.14.0 -> tensorflow-estimator[version='>=1.14.0,<1.15.0']\n",
      "tensorflow-base -> tensorflow-estimator[version='>=1.13.0,<1.14.0a0|>=2.5.0,<2.6|>=2.6.0,<2.7|>=1.14.0rc0,<1.15.0a0']\n",
      "tensorflow==1.14.0 -> tensorflow-base==1.14.0=py37h4531e10_0 -> tensorflow-estimator[version='>=1.14.0rc0,<1.15.0a0']\n",
      "\n",
      "Package partd conflicts for:\n",
      "scikit-image==0.17.2 -> dask-core[version='>=0.15.0'] -> partd[version='>=0.3.10']\n",
      "dask-core -> partd[version='>=0.3.10']\n",
      "\n",
      "Package libvorbis conflicts for:\n",
      "gst-plugins-base -> libvorbis[version='>=1.3.7,<1.4.0a0']\n",
      "qt -> gst-plugins-base[version='>=1.18.3,<1.19.0a0'] -> libvorbis[version='>=1.3.7,<1.4.0a0']\n",
      "\n",
      "Package gst-plugins-base conflicts for:\n",
      "libopencv -> opencv==4.5.4 -> gst-plugins-base[version='>=1.14.0,<1.15.0a0|>=1.18.3,<1.19.0a0']\n",
      "py-opencv -> opencv==4.5.4 -> gst-plugins-base[version='>=1.14.0,<1.15.0a0']\n",
      "imutils==0.5.4 -> opencv -> gst-plugins-base[version='>=1.14.0,<1.15.0a0']\n",
      "qt -> gst-plugins-base[version='>=1.12.2,<1.13.0a0|>=1.12.4,<1.13.0a0|>=1.14.0,<1.15.0a0|>=1.18.3,<1.19.0a0']\n",
      "\n",
      "Package charset-normalizer conflicts for:\n",
      "jupyter-dash==0.4.0 -> requests -> charset-normalizer[version='>=2.0.0,<2.1|>=2.0.0,<2.1.0']\n",
      "tensorboard -> requests[version='>=2.21.0'] -> charset-normalizer[version='>=2.0.0,<2.1|>=2.0.0,<2.1.0']\n",
      "plotly -> requests -> charset-normalizer[version='>=2.0.0,<2.1|>=2.0.0,<2.1.0']\n",
      "requests -> charset-normalizer[version='>=2.0.0,<2.1|>=2.0.0,<2.1.0']\n",
      "\n",
      "Package xorg-libxdmcp conflicts for:\n",
      "xorg-libx11 -> libxcb=1 -> xorg-libxdmcp\n",
      "harfbuzz -> libxcb[version='>=1.13,<2.0a0'] -> xorg-libxdmcp\n",
      "graphviz==2.40.1 -> libxcb -> xorg-libxdmcp\n",
      "libxcb -> xorg-libxdmcp\n",
      "cairo -> libxcb[version='>=1.13,<2.0a0'] -> xorg-libxdmcp\n",
      "qt -> libxcb[version='>=1.13,<2.0a0'] -> xorg-libxdmcp\n",
      "gst-plugins-base -> libxcb[version='>=1.13,<2.0a0'] -> xorg-libxdmcp\n",
      "\n",
      "Package package_has_been_revoked conflicts for:\n",
      "gxx_linux-64==7.2.0 -> package_has_been_revoked\n",
      "tensorflow-base -> package_has_been_revoked\n",
      "gcc_linux-64 -> package_has_been_revoked\n",
      "\n",
      "Package blas-devel conflicts for:\n",
      "numpy -> blas=[build=mkl] -> blas-devel==3.9.0=14_linux64_mkl\n",
      "blas -> blas-devel==3.9.0=14_linux64_mkl\n",
      "mkl-devel -> blas=[build=mkl] -> blas-devel==3.9.0=14_linux64_mkl\n",
      "scipy -> blas=[build=mkl] -> blas-devel==3.9.0=14_linux64_mkl\n",
      "pytorch==1.5.0 -> blas=[build=mkl] -> blas-devel==3.9.0=14_linux64_mkl\n",
      "numexpr -> blas=[build=mkl] -> blas-devel==3.9.0=14_linux64_mkl\n",
      "\n",
      "Package coverage conflicts for:\n",
      "tensorflow-base -> grpcio -> coverage\n",
      "grpcio -> coverage\n",
      "tensorboard -> grpcio[version='>=1.24.3'] -> coverage\n",
      "tensorflow-estimator -> grpcio[version='>=1.8.6'] -> coverage\n",
      "\n",
      "Package google-auth-oauthlib conflicts for:\n",
      "tensorboard -> google-auth-oauthlib[version='0.4.1|>=0.4.1|>=0.4.1,<0.5']\n",
      "tensorflow-base -> tensorboard[version='>=2.6.0,<2.7'] -> google-auth-oauthlib==0.4.1\n",
      "\n",
      "Package libxkbcommon conflicts for:\n",
      "qt -> libxkbcommon[version='>=1.0.3,<2.0a0']\n",
      "libopencv -> qt=5.12 -> libxkbcommon[version='>=1.0.3,<2.0a0']\n",
      "\n",
      "Package lcms2 conflicts for:\n",
      "matplotlib-base -> pillow[version='>=6.2.0'] -> lcms2[version='>=2.11,<3.0a0|>=2.12,<3.0a0']\n",
      "tifffile -> imagecodecs[version='>=2021.4.28'] -> lcms2[version='>=2.11,<3.0a0|>=2.12,<3.0a0']\n",
      "imageio -> pillow -> lcms2[version='>=2.11,<3.0a0|>=2.12,<3.0a0']\n",
      "scikit-image==0.17.2 -> pillow[version='>=4.3.0'] -> lcms2[version='>=2.11,<3.0a0|>=2.12,<3.0a0']\n",
      "pillow -> lcms2[version='>=2.11,<3.0a0|>=2.12,<3.0a0']\n",
      "\n",
      "Package grpcio conflicts for:\n",
      "tensorflow-estimator -> tensorflow-base[version='>=2.4.1,<2.5.0a0'] -> grpcio[version='>=1.14.1,<2.0a0|>=1.14.1|>=1.16.1|>=1.35.0']\n",
      "tensorflow==1.14.0 -> tensorboard[version='>=1.14.0,<1.15.0'] -> grpcio[version='>=1.6.3|>=1.8.6']\n",
      "tensorflow-estimator -> grpcio[version='>=1.8.6']\n",
      "tensorflow-base -> tensorboard[version='>=2.6.0,<2.7'] -> grpcio[version='>=1.24.3|>=1.6.3']\n",
      "tensorflow-base -> grpcio[version='>=1.14.1,<2.0a0|>=1.14.1|>=1.16.1|>=1.35.0|>=1.8.6']\n",
      "tensorboard -> grpcio[version='>=1.14|>=1.24.3|>=1.6.3']\n",
      "\n",
      "Package futures conflicts for:\n",
      "tornado -> futures\n",
      "tenacity -> futures[version='>=3']\n",
      "jupyter_client -> tornado[version='>=4.1'] -> futures\n",
      "tensorboard -> grpcio[version='>=1.24.3'] -> futures[version='>=2.2.0']\n",
      "matplotlib-base -> tornado -> futures\n",
      "ipykernel -> tornado[version='>=4.2,<7.0'] -> futures\n",
      "grpcio -> futures[version='>=2.2.0']\n",
      "tensorflow-base -> grpcio -> futures[version='>=2.2.0|>=3.1.1']\n",
      "imageio -> futures\n",
      "tensorboard -> futures[version='>=3.1.1']\n",
      "tensorflow==1.14.0 -> tensorboard[version='>=1.14.0,<1.15.0'] -> futures[version='>=3.1.1']\n",
      "tensorflow-estimator -> grpcio[version='>=1.8.6'] -> futures[version='>=2.2.0']\n",
      "scikit-image==0.17.2 -> imageio[version='>=2.3.0'] -> futures\n",
      "\n",
      "Package tenacity conflicts for:\n",
      "dash -> plotly -> tenacity[version='>=6.2.0']\n",
      "plotly -> tenacity[version='>=6.2.0']\n",
      "\n",
      "Package fonttools conflicts for:\n",
      "pycocotools==2.0.2 -> matplotlib-base -> fonttools[version='>=4.22.0']\n",
      "matplotlib-base -> fonttools[version='>=4.22.0']\n",
      "scikit-image==0.17.2 -> matplotlib-base[version='>=2.0.0'] -> fonttools[version='>=4.22.0']\n",
      "networkx -> matplotlib-base[version='>=3.3'] -> fonttools[version='>=4.22.0']\n",
      "basemap==1.2.0 -> matplotlib-base[version='>=1.0.0'] -> fonttools[version='>=4.22.0']\n",
      "imutils==0.5.4 -> matplotlib-base -> fonttools[version='>=4.22.0']\n",
      "\n",
      "Package xorg-libxrender conflicts for:\n",
      "graphviz==2.40.1 -> xorg-libxrender\n",
      "pango -> cairo[version='>=1.14.12,<2.0a0'] -> xorg-libxrender\n",
      "harfbuzz -> cairo[version='>=1.14.12,<2.0a0'] -> xorg-libxrender\n",
      "cairo -> xorg-libxrender\n",
      "\n",
      "Package matplotlib conflicts for:\n",
      "seaborn -> matplotlib[version='>=1.4.3|>=2.1.2|>=2.2']\n",
      "basemap==1.2.0 -> matplotlib[version='>=1.0.0']\n",
      "networkx -> matplotlib[version='>=3.3']\n",
      "scikit-image==0.17.2 -> networkx[version='>=2.0'] -> matplotlib[version='>=3.3']\n",
      "\n",
      "Package wrapt conflicts for:\n",
      "tensorflow==1.14.0 -> tensorflow-base==1.14.0=gpu_py36he45bfe2_0 -> wrapt[version='>=1.11.1']\n",
      "tensorflow-estimator -> tensorflow-base[version='>=2.4.1,<2.5.0a0'] -> wrapt[version='>=1.11.2,<2.0a0|>=1.11.2|>=1.12.1']\n",
      "tensorflow-base -> wrapt[version='>=1.11.1|>=1.11.2|>=1.12.1|>=1.11.2,<2.0a0']\n",
      "tensorflow-estimator -> wrapt[version='>=1.11.1']\n",
      "\n",
      "Package libopencv conflicts for:\n",
      "opencv==3.4.9 -> libopencv==3.4.9=py37_2\n",
      "imutils==0.5.4 -> opencv -> libopencv==3.4.9=py37_2\n",
      "py-opencv -> libopencv[version='3.4.1|3.4.1|3.4.1|3.4.1|3.4.2|3.4.9',build='py37_2|h765d7f9_1|hb342d67_1|he6673a0_0|h8fa1ad8_0|he6673a0_3|h8fa1ad8_3|h62359dd_1|h1a3b859_1']\n",
      "\n",
      "Package libcurl conflicts for:\n",
      "tensorflow==1.14.0 -> libcurl[version='>=7.71.1,<8.0a0']\n",
      "pyproj -> proj[version='>=8.2.1'] -> libcurl[version='>=7.69.1,<8.0a0|>=7.80.0,<8.0a0']\n",
      "tensorflow-estimator -> tensorflow-base[version='>=1.14.0,<1.15.0a0'] -> libcurl[version='>=7.71.1,<8.0a0']\n",
      "tensorflow-base -> libcurl[version='>=7.71.1,<8.0a0|>=7.78.0,<8.0a0']\n",
      "hdf5 -> libcurl[version='>=7.78.0,<8.0a0']\n",
      "h5py -> hdf5 -> libcurl[version='>=7.78.0,<8.0a0']\n",
      "\n",
      "Package nest-asyncio conflicts for:\n",
      "jupyter_client -> nest-asyncio[version='>=1.5|>=1.5.4']\n",
      "jupyter-dash==0.4.0 -> ipykernel -> nest-asyncio\n",
      "ipykernel -> jupyter_client[version='<8.0'] -> nest-asyncio[version='>=1.5|>=1.5.4']\n",
      "ipykernel -> nest-asyncio\n",
      "\n",
      "Package pycparser conflicts for:\n",
      "pytorch==1.5.0 -> cffi -> pycparser\n",
      "cffi -> pycparser\n",
      "cryptography -> cffi[version='>=1.12'] -> pycparser\n",
      "brotlipy -> cffi[version='>=1.0.0'] -> pycparser\n",
      "\n",
      "Package gnutls conflicts for:\n",
      "ffmpeg -> gnutls[version='>=3.6.5,<3.7.0a0']\n",
      "libopencv -> ffmpeg[version='>=4.1.3,<4.2.0a0'] -> gnutls[version='>=3.6.5,<3.7.0a0']\n",
      "\n",
      "Package markupsafe conflicts for:\n",
      "jinja2 -> markupsafe[version='>=0.23|>=2.0']\n",
      "flask -> jinja2[version='>=3.0'] -> markupsafe[version='>=0.23|>=2.0']\n",
      "\n",
      "Package harfbuzz conflicts for:\n",
      "libopencv -> harfbuzz[version='>=1.5.0,<2.0a0|>=1.7.6,<2.0a0|>=2.4.0,<3.0a0']\n",
      "graphviz==2.40.1 -> pango[version='>=1.42.1,<2.0a0'] -> harfbuzz[version='>=1.5.0,<2.0a0|>=1.7.4,<2.0a0|>=2.4.0,<3.0a0|>=2.7.2,<3.0a0']\n",
      "opencv==3.4.9 -> libopencv==3.4.9=py37_2 -> harfbuzz[version='>=2.4.0,<3.0a0']\n",
      "pango -> harfbuzz[version='>=1.5.0,<2.0a0|>=1.7.4,<2.0a0|>=1.7.6,<2.0a0|>=2.4.0,<3.0a0|>=2.7.2,<3.0a0']\n",
      "graphviz==2.40.1 -> harfbuzz[version='>=1.7.6,<2.0a0']\n",
      "imutils==0.5.4 -> opencv -> harfbuzz[version='>=1.5.0,<2.0a0|>=2.4.0,<3.0a0']\n",
      "py-opencv -> opencv==4.5.4 -> harfbuzz[version='>=1.5.0,<2.0a0|>=1.7.6,<2.0a0|>=2.4.0,<3.0a0']\n",
      "\n",
      "Package keyutils conflicts for:\n",
      "libpq -> krb5[version='>=1.19.2,<1.20.0a0'] -> keyutils[version='>=1.6.1,<2.0a0']\n",
      "krb5 -> keyutils[version='>=1.6.1,<2.0a0']\n",
      "libcurl -> krb5[version='>=1.19.2,<1.20.0a0'] -> keyutils[version='>=1.6.1,<2.0a0']\n",
      "\n",
      "Package pyyaml conflicts for:\n",
      "dask-core -> pyyaml[version='>=5.3.1']\n",
      "dash -> pyyaml[version='>=5.1.1']\n",
      "jupyter-dash==0.4.0 -> dash -> pyyaml[version='>=5.1.1']\n",
      "scikit-image==0.17.2 -> dask-core[version='>=0.15.0'] -> pyyaml[version='>=5.3.1']\n",
      "\n",
      "Package gmp conflicts for:\n",
      "ffmpeg -> gmp[version='>=6.1.2|>=6.1.2,<7.0a0']\n",
      "libopencv -> ffmpeg[version='>=4.1.3,<4.2.0a0'] -> gmp[version='>=6.1.2,<7.0a0']\n",
      "gnutls -> gmp[version='>=6.1.2']\n",
      "\n",
      "Package libssh2 conflicts for:\n",
      "libcurl -> libssh2[version='>=1.10.0,<2.0a0|>=1.8.0,<2.0a0|>=1.8.2,<2.0a0|>=1.9.0,<2.0a0']\n",
      "hdf5 -> libcurl[version='>=7.78.0,<8.0a0'] -> libssh2[version='>=1.10.0,<2.0a0|>=1.9.0,<2.0a0']\n",
      "tensorflow==1.14.0 -> libcurl[version='>=7.71.1,<8.0a0'] -> libssh2[version='>=1.10.0,<2.0a0|>=1.9.0,<2.0a0']\n",
      "tensorflow-base -> libcurl[version='>=7.78.0,<8.0a0'] -> libssh2[version='>=1.10.0,<2.0a0|>=1.9.0,<2.0a0']\n",
      "\n",
      "Package unicodedata2 conflicts for:\n",
      "fonttools -> unicodedata2[version='>=13.0.0|>=14.0.0']\n",
      "matplotlib-base -> fonttools[version='>=4.22.0'] -> unicodedata2[version='>=13.0.0|>=14.0.0']\n",
      "\n",
      "Package wheel conflicts for:\n",
      "tensorboard -> wheel[version='>=0.26']\n",
      "tensorflow-base -> tensorboard[version='>=2.6.0,<2.7'] -> wheel[version='>=0.26']\n",
      "tensorflow-base -> wheel[version='<0.36|>=0.35,<0.36']\n",
      "python~=3.7 -> pip -> wheel\n",
      "pip -> wheel\n",
      "\n",
      "Package functools32 conflicts for:\n",
      "tensorflow-estimator -> tensorflow-base[version='>=2.1.0,<2.2.0a0'] -> functools32[version='>=3.2.3.2']\n",
      "basemap==1.2.0 -> matplotlib[version='>=1.0.0'] -> functools32\n",
      "seaborn -> matplotlib[version='>=2.2'] -> functools32\n",
      "tensorflow-base -> functools32[version='>=3.2.3.2']\n",
      "\n",
      "Package py-opencv conflicts for:\n",
      "opencv==3.4.9 -> py-opencv==3.4.9=py37h5ca1d4c_2\n",
      "imutils==0.5.4 -> opencv -> py-opencv[version='3.4.1|3.4.1|3.4.1|3.4.1|3.4.1|3.4.1|3.4.1|3.4.1|3.4.1|3.4.1|3.4.1|3.4.1|3.4.2|3.4.9',build='py37h5ca1d4c_2|py27h0676e08_1|py35h0676e08_1|py27hf78e8e8_1|py36hf78e8e8_1|py27h8fa1ad8_3|py27he6673a0_3|py36he6673a0_3|py37h8fa1ad8_0|py36h8fa1ad8_0|py37he6673a0_0|py27hb342d67_1|py35h765d7f9_1|py36hb342d67_1|py36h765d7f9_1|py37h765d7f9_1|py37hb342d67_1|py35hb342d67_1|py27h765d7f9_1|py36he6673a0_0|py35he6673a0_0|py27he6673a0_0|py35h8fa1ad8_0|py27h8fa1ad8_0|py37he6673a0_3|py37h8fa1ad8_3|py36h8fa1ad8_3|py35hf78e8e8_1|py36h0676e08_1']\n",
      "\n",
      "Package pyzmq conflicts for:\n",
      "jupyter_client -> pyzmq[version='>=13|>=22.3']\n",
      "ipykernel -> jupyter_client[version='<8.0'] -> pyzmq[version='>=13|>=22.3']\n",
      "\n",
      "Package more-itertools conflicts for:\n",
      "zipp -> more-itertools\n",
      "zipp -> jaraco.itertools -> more-itertools[version='>=4.0.0']\n",
      "\n",
      "Package mkl-devel conflicts for:\n",
      "blas -> blas-devel==3.9.0=14_linux64_mkl -> mkl-devel=2022.0\n",
      "blas-devel -> mkl-devel=2022.0\n",
      "\n",
      "Package prompt-toolkit conflicts for:\n",
      "jupyter-dash==0.4.0 -> ipython -> prompt-toolkit[version='!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0|>=2.0.0,!=3.0.0,!=3.0.1,<3.1.0|>=2.0.0,<3.1.0,!=3.0.0,!=3.0.1']\n",
      "ipykernel -> ipython[version='>=7.23.1'] -> prompt-toolkit[version='!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0|>=2.0.0,!=3.0.0,!=3.0.1,<3.1.0|>=2.0.0,<3.1.0,!=3.0.0,!=3.0.1']\n",
      "ipython -> prompt_toolkit[version='>=2.0.0,<4,!=3.0.0,!=3.0.1'] -> prompt-toolkit[version='>=3.0.17,<3.0.18.0a0|>=3.0.20,<3.0.21.0a0|>=3.0.8,<3.0.9.0a0|>=3.0.7,<3.0.8.0a0|>=3.0.6,<3.0.7.0a0|>=3.0.5,<3.0.6.0a0|>=3.0.4,<3.0.5.0a0']\n",
      "ipython -> prompt-toolkit[version='!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0|>=2.0.0,!=3.0.0,!=3.0.1,<3.1.0|>=2.0.0,<3.1.0,!=3.0.0,!=3.0.1']\n",
      "\n",
      "Package libnghttp2 conflicts for:\n",
      "hdf5 -> libcurl[version='>=7.78.0,<8.0a0'] -> libnghttp2[version='>=1.41.0,<2.0a0|>=1.46.0,<2.0a0|>=1.47.0,<2.0a0']\n",
      "tensorflow==1.14.0 -> libcurl[version='>=7.71.1,<8.0a0'] -> libnghttp2[version='>=1.41.0,<2.0a0|>=1.46.0,<2.0a0|>=1.47.0,<2.0a0']\n",
      "libcurl -> libnghttp2[version='>=1.41.0,<2.0a0|>=1.46.0,<2.0a0|>=1.47.0,<2.0a0']\n",
      "tensorflow-base -> libcurl[version='>=7.78.0,<8.0a0'] -> libnghttp2[version='>=1.41.0,<2.0a0|>=1.46.0,<2.0a0|>=1.47.0,<2.0a0']\n",
      "\n",
      "Package flask-compress conflicts for:\n",
      "dash -> flask-compress\n",
      "jupyter-dash==0.4.0 -> dash -> flask-compress\n",
      "\n",
      "Package pexpect conflicts for:\n",
      "ipykernel -> ipython[version='>=7.23.1'] -> pexpect[version='>4.3']\n",
      "jupyter-dash==0.4.0 -> ipython -> pexpect[version='>4.3']\n",
      "ipython -> pexpect[version='>4.3']\n",
      "\n",
      "Package debugpy conflicts for:\n",
      "jupyter-dash==0.4.0 -> ipykernel -> debugpy[version='>=1,<2.0|>=1.0.0,<2.0|>=1.0']\n",
      "ipykernel -> debugpy[version='>=1,<2.0|>=1.0.0,<2.0|>=1.0']\n",
      "\n",
      "Package matplotlib-inline conflicts for:\n",
      "ipython -> matplotlib-inline[version='>=0.1.2']\n",
      "ipykernel -> ipython[version='>=7.23.1'] -> matplotlib-inline[version='>=0.1.2']\n",
      "jupyter-dash==0.4.0 -> ipykernel -> matplotlib-inline[version='>=0.1.2|>=0.1|>=0.1.0,<0.2.0']\n",
      "ipykernel -> matplotlib-inline[version='>=0.1|>=0.1.0,<0.2.0']\n",
      "\n",
      "Package openh264 conflicts for:\n",
      "libopencv -> ffmpeg[version='>=4.1.3,<4.2.0a0'] -> openh264[version='>=1.8.0,<1.9.0a0']\n",
      "ffmpeg -> openh264[version='>=1.8.0,<1.9.0a0|>=2.1.0,<2.2.0a0']\n",
      "\n",
      "Package giflib conflicts for:\n",
      "libopencv -> libwebp[version='>=1.0.2,<1.1.0a0'] -> giflib[version='>=5.2.1,<5.3.0a0']\n",
      "tesseract==4.1.1 -> giflib[version='>=5.2.1,<5.3.0a0']\n",
      "tifffile -> imagecodecs[version='>=2021.4.28'] -> giflib[version='>=5.1.4,<5.2.0a0|>=5.2.1,<5.3.0a0']\n",
      "libwebp -> giflib[version='>=5.1.4,<5.2.0a0|>=5.2.1,<5.3.0a0']\n",
      "tensorflow-base -> giflib[version='>=5.2.1,<5.3.0a0']\n",
      "leptonica -> giflib[version='>=5.2.1,<5.3.0a0']\n",
      "pillow -> libwebp[version='>=0.3.0'] -> giflib[version='>=5.1.4,<5.2.0a0|>=5.2.1,<5.3.0a0']\n",
      "\n",
      "Package plotly conflicts for:\n",
      "jupyter-dash==0.4.0 -> dash -> plotly[version='>=5.0.0']\n",
      "dash -> plotly[version='>=5.0.0']\n",
      "\n",
      "Package jedi conflicts for:\n",
      "ipython -> jedi[version='>=0.10|>=0.10,<0.18|>=0.16|>=0.16,<1.0']\n",
      "jupyter-dash==0.4.0 -> ipython -> jedi[version='>=0.10|>=0.10,<0.18|>=0.16|>=0.16,<1.0']\n",
      "ipykernel -> ipython[version='>=7.23.1'] -> jedi[version='>=0.10|>=0.10,<0.18|>=0.16|>=0.16,<1.0']\n",
      "\n",
      "Package ipaddress conflicts for:\n",
      "cryptography -> ipaddress\n",
      "pyopenssl -> cryptography[version='>=2.8'] -> ipaddress\n",
      "urllib3 -> ipaddress\n",
      "requests -> urllib3[version='>=1.21.1,<1.27'] -> ipaddress\n",
      "\n",
      "Package pygments conflicts for:\n",
      "jupyter-dash==0.4.0 -> ipython -> pygments[version='>=2.4.0']\n",
      "ipykernel -> ipython[version='>=7.23.1'] -> pygments[version='>=2.4.0']\n",
      "prompt-toolkit -> pygments\n",
      "ipython -> pygments[version='>=2.4.0']\n",
      "\n",
      "Package configparser conflicts for:\n",
      "entrypoints -> configparser\n",
      "jupyter_client -> entrypoints -> configparser\n",
      "\n",
      "Package munkres conflicts for:\n",
      "matplotlib-base -> fonttools[version='>=4.22.0'] -> munkres\n",
      "fonttools -> munkres\n",
      "\n",
      "Package xorg-renderproto conflicts for:\n",
      "cairo -> xorg-libxrender -> xorg-renderproto\n",
      "graphviz==2.40.1 -> xorg-libxrender -> xorg-renderproto\n",
      "xorg-libxrender -> xorg-renderproto\n",
      "\n",
      "Package mysql-common conflicts for:\n",
      "qt -> mysql-libs[version='>=8.0.23,<8.1.0.0a0'] -> mysql-common==8.0.25=ha770c72_0\n",
      "mysql-libs -> mysql-common==8.0.25=ha770c72_0\n",
      "\n",
      "Package jupyter_core conflicts for:\n",
      "jupyter_client -> jupyter_core[version='>=4.6.0|>=4.9.2']\n",
      "ipykernel -> jupyter_client[version='<8.0'] -> jupyter_core[version='>=4.6.0|>=4.9.2']\n",
      "plotly -> nbformat[version='>=4.2'] -> jupyter_core\n",
      "\n",
      "Package flask conflicts for:\n",
      "dash -> flask[version='>=1.0.2|>=1.0.4']\n",
      "flask-compress -> flask\n",
      "dash -> flask-compress -> flask\n",
      "jupyter-dash==0.4.0 -> dash -> flask[version='>=1.0.2|>=1.0.4']\n",
      "jupyter-dash==0.4.0 -> flask\n",
      "\n",
      "Package typing-extensions conflicts for:\n",
      "kiwisolver -> typing-extensions\n",
      "matplotlib-base -> kiwisolver[version='>=1.0.1'] -> typing-extensions\n",
      "\n",
      "Package xorg-libxt conflicts for:\n",
      "xorg-libxpm -> xorg-libxt[version='>=1.2.1,<2.0a0']\n",
      "graphviz==2.40.1 -> xorg-libxpm -> xorg-libxt[version='>=1.2.1,<2.0a0']\n",
      "\n",
      "Package libtasn1 conflicts for:\n",
      "ffmpeg -> gnutls[version='>=3.6.5,<3.7.0a0'] -> libtasn1[version='>=4.16.0,<5.0a0']\n",
      "gnutls -> libtasn1[version='>=4.16.0,<5.0a0']\n",
      "\n",
      "Package click conflicts for:\n",
      "flask -> click[version='>=2.0|>=5.1|>=7.1.2|>=8.0']\n",
      "tensorboard -> google-auth-oauthlib==0.4.1 -> click\n",
      "flask-compress -> flask -> click[version='>=2.0|>=5.1|>=7.1.2|>=8.0']\n",
      "dash -> flask[version='>=1.0.2'] -> click[version='>=5.1|>=7.1.2|>=8.0']\n",
      "jupyter-dash==0.4.0 -> flask -> click[version='>=2.0|>=5.1|>=7.1.2|>=8.0']\n",
      "\n",
      "Package binutils_impl_linux-64 conflicts for:\n",
      "gcc_linux-64 -> binutils_linux-64==2.35.1=h454624a_30 -> binutils_impl_linux-64[version='2.28.1|2.28.1|2.28.1.*|2.31.1|2.31.1|2.31.1.*|2.35.1.*|>=2.35.1|2.33.1.*|>=2.31.1,<3|>=2.28.1,<3|2.38.0.*|>=2.38',build='h04c84fa_2|had2808c_3|h6176602_1|h6176602_0']\n",
      "gcc_impl_linux-64 -> binutils_impl_linux-64[version='2.28.1|2.28.1|2.31.1|2.31.1|>=2.35.1|>=2.38|>=2.31.1,<3|>=2.28.1,<3',build='h04c84fa_2|had2808c_3|h6176602_1|h6176602_0']\n",
      "gxx_impl_linux-64 -> gcc_impl_linux-64==9.3.0=h6df7d76_17 -> binutils_impl_linux-64[version='2.28.1|2.28.1|2.31.1|2.31.1|>=2.35.1|>=2.31.1,<3|>=2.28.1,<3|>=2.38',build='h04c84fa_2|had2808c_3|h6176602_1|h6176602_0']\n",
      "binutils_linux-64 -> binutils_impl_linux-64[version='2.28.1.*|2.31.1.*|2.35.1.*|2.33.1.*|2.38.0.*']\n",
      "gxx_linux-64==7.2.0 -> binutils_linux-64==7.2.0=had2808c_27 -> binutils_impl_linux-64=2.28.1\n",
      "\n",
      "Package lame conflicts for:\n",
      "ffmpeg -> lame[version='>=3.100,<3.101.0a0']\n",
      "libopencv -> ffmpeg[version='>=4.1.3,<4.2.0a0'] -> lame[version='>=3.100,<3.101.0a0']\n",
      "\n",
      "Package zeromq conflicts for:\n",
      "jupyter_client -> pyzmq[version='>=22.3'] -> zeromq[version='4.2.*|>=4.2.3,<4.3|>=4.2.5,<4.2.6.0a0|>=4.3.1,<4.4.0a0|>=4.3.2,<4.4.0a0|>=4.3.3,<4.4.0a0|>=4.3.4,<4.4.0a0']\n",
      "pyzmq -> zeromq[version='4.2.*|>=4.2.3,<4.3|>=4.2.5,<4.2.6.0a0|>=4.3.1,<4.4.0a0|>=4.3.2,<4.4.0a0|>=4.3.3,<4.4.0a0|>=4.3.4,<4.4.0a0']\n",
      "\n",
      "Package olefile conflicts for:\n",
      "pillow -> olefile\n",
      "imageio -> pillow -> olefile\n",
      "matplotlib-base -> pillow[version='>=6.2.0'] -> olefile\n",
      "scikit-image==0.17.2 -> pillow[version='>=4.3.0'] -> olefile\n",
      "\n",
      "Package libvpx conflicts for:\n",
      "libopencv -> ffmpeg[version='>=4.0,<4.1.0a0'] -> libvpx[version='>=1.6.1,<1.7.0a0|>=1.7.0,<1.8.0a0']\n",
      "ffmpeg -> libvpx[version='>=1.6.1,<1.7.0a0|>=1.7.0,<1.8.0a0']\n",
      "\n",
      "Package libsodium conflicts for:\n",
      "jupyter_client -> pyzmq[version='>=22.3'] -> libsodium[version='>=1.0.16,<1.0.17.0a0|>=1.0.18,<1.0.19.0a0']\n",
      "zeromq -> libsodium[version='>=1.0.16,<1.0.17.0a0|>=1.0.18,<1.0.19.0a0']\n",
      "pyzmq -> libsodium[version='>=1.0.16,<1.0.17.0a0|>=1.0.18,<1.0.19.0a0']\n",
      "\n",
      "Package termcolor conflicts for:\n",
      "tensorflow-estimator -> termcolor[version='>=1.1.0']\n",
      "tensorflow-base -> termcolor[version='>=1.1.0|>=1.1.0,<2.0a0']\n",
      "tensorflow==1.14.0 -> tensorflow-base==1.14.0=gpu_py36he45bfe2_0 -> termcolor[version='>=1.1.0']\n",
      "tensorflow-estimator -> tensorflow-base[version='>=2.0.0,<2.1.0a0'] -> termcolor[version='>=1.1.0,<2.0a0']\n",
      "\n",
      "Package unittest2 conflicts for:\n",
      "keras-applications -> h5py -> unittest2\n",
      "h5py -> unittest2\n",
      "\n",
      "Package jupyter_client conflicts for:\n",
      "jupyter-dash==0.4.0 -> ipykernel -> jupyter_client[version='<8.0|>=6.1.12']\n",
      "ipykernel -> jupyter_client[version='<8.0|>=6.1.12']\n",
      "\n",
      "Package fsspec conflicts for:\n",
      "scikit-image==0.17.2 -> dask-core[version='>=0.15.0'] -> fsspec[version='>=0.6.0']\n",
      "dask-core -> fsspec[version='>=0.6.0']\n",
      "\n",
      "Package eigen conflicts for:\n",
      "py-opencv -> opencv==4.5.4 -> eigen\n",
      "libopencv -> opencv==4.5.4 -> eigen\n",
      "imutils==0.5.4 -> opencv -> eigen\n",
      "\n",
      "Package mysql-libs conflicts for:\n",
      "libopencv -> qt=5.12 -> mysql-libs[version='>=8.0.23,<8.1.0.0a0']\n",
      "qt -> mysql-libs[version='>=8.0.23,<8.1.0.0a0']\n",
      "\n",
      "Package libllvm11 conflicts for:\n",
      "libclang -> libllvm11[version='>=11.1.0,<11.2.0a0']\n",
      "qt -> libclang[version='>=11.0.1,<12.0a0'] -> libllvm11[version='>=11.1.0,<11.2.0a0']\n",
      "\n",
      "Package brotli-bin conflicts for:\n",
      "fonttools -> brotli[version='>=1.0.1'] -> brotli-bin==1.0.9=h166bdaf_7\n",
      "brotli -> brotli-bin==1.0.9=h166bdaf_7\n",
      "\n",
      "Package libevent conflicts for:\n",
      "libopencv -> qt=5.12 -> libevent[version='>=2.1.10,<2.1.11.0a0']\n",
      "qt -> libevent[version='>=2.1.10,<2.1.11.0a0']\n",
      "\n",
      "Package xorg-xextproto conflicts for:\n",
      "xorg-libxext -> xorg-xextproto\n",
      "xorg-libxpm -> xorg-xextproto\n",
      "graphviz==2.40.1 -> xorg-libxpm -> xorg-xextproto\n",
      "cairo -> xorg-libxext -> xorg-xextproto\n",
      "\n",
      "Package freeglut conflicts for:\n",
      "libopencv -> jasper[version='>=2.0.14,<3.0a0'] -> freeglut[version='>=2.8.1,<3.0a0|>=3.0.0,<4.0a0']\n",
      "jasper -> freeglut[version='>=2.8.1,<3.0a0|>=3.0.0,<4.0a0']\n",
      "\n",
      "Package cached-property conflicts for:\n",
      "h5py -> cached-property\n",
      "keras-applications -> h5py -> cached-property\n",
      "tensorflow-base -> h5py[version='>=3.1.0'] -> cached-property\n",
      "\n",
      "Package alsa-lib conflicts for:\n",
      "gst-plugins-base -> alsa-lib[version='>=1.2.3,<1.2.4.0a0']\n",
      "qt -> gst-plugins-base[version='>=1.18.3,<1.19.0a0'] -> alsa-lib[version='>=1.2.3,<1.2.4.0a0']\n",
      "\n",
      "Package locket conflicts for:\n",
      "partd -> locket\n",
      "dask-core -> partd[version='>=0.3.10'] -> locket\n",
      "\n",
      "Package google-pasta conflicts for:\n",
      "tensorflow-base -> google-pasta[version='>=0.1.6|>=0.1.7,<1.0a0|>=0.1.7|>=0.1.8|>=0.2|>=0.2.0']\n",
      "tensorflow==1.14.0 -> tensorflow-base==1.14.0=gpu_py36he45bfe2_0 -> google-pasta[version='>=0.1.6']\n",
      "tensorflow-estimator -> tensorflow-base[version='>=2.4.1,<2.5.0a0'] -> google-pasta[version='>=0.1.6|>=0.1.7,<1.0a0|>=0.1.7|>=0.1.8|>=0.2.0']The following specifications were found to be incompatible with your system:\n",
      "\n",
      "  - feature:/linux-64::__glibc==2.28=0\n",
      "  - feature:|@/linux-64::__glibc==2.28=0\n",
      "  - basemap==1.2.0 -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - binutils_impl_linux-64 -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - blas -> libgfortran-ng -> __glibc[version='>=2.17']\n",
      "  - bottleneck -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - brotli -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - brotli-python -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - brotlipy -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - bzip2 -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - c-ares -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - cairo -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - cffi -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - cryptography -> libgcc-ng -> __glibc[version='>=2.17']\n",
      "  - cudatoolkit -> libgcc-ng[version='>=9.3.0'] -> __glibc[version='>=2.17']\n",
      "  - cython -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - cytoolz -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - dbus -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - debugpy -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - expat -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - ffmpeg -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - fontconfig -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - freetype -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - fribidi -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - gcc_impl_linux-64 -> libgcc-ng[version='>=4.9'] -> __glibc[version='>=2.17|>=2.17,<3.0.a0']\n",
      "  - geos -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - gettext -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - giflib -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - gmp -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - gnutls -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - graphite2 -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - graphviz==2.40.1 -> libgcc-ng[version='>=7.2.0'] -> __glibc[version='>=2.17']\n",
      "  - grpcio -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - gst-plugins-base -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - gstreamer -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - h5py -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - harfbuzz -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - hdf5 -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - ibm_db==3.0.4 -> __glibc[version='>=2.17,<3.0.a0']\n",
      "  - ibm_db==3.0.4 -> libgcc-ng[version='>=9.3.0'] -> __glibc[version='>=2.17']\n",
      "  - icu -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - jasper -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - jpeg -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - kiwisolver -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - krb5 -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - lame -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - lcms2 -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - leptonica -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - libarchive -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - libclang -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - libcurl -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - libedit -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - libev -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - libevent -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - libffi -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - libgcc-ng -> __glibc[version='>=2.17']\n",
      "  - libgfortran-ng -> __glibc[version='>=2.17']\n",
      "  - libiconv -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - libllvm11 -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - libnghttp2 -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - libogg -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - libopencv -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - libopus -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - libpng -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - libpq -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - libprotobuf -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - libsodium -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - libssh2 -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - libstdcxx-ng -> __glibc[version='>=2.17']\n",
      "  - libtiff -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - libtool -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - libuuid -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - libvorbis -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - libwebp -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - libxcb -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - libxkbcommon -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - libxml2 -> libgcc-ng[version='>=9.3.0'] -> __glibc[version='>=2.17']\n",
      "  - lz4-c -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - lzo -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - markupsafe -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - matplotlib-base -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - mysql-libs -> libgcc-ng[version='>=9.3.0'] -> __glibc[version='>=2.17']\n",
      "  - ncurses -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - nettle==3.6 -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - ninja -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - nodejs==10.15.3 -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - nspr -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - nss -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - numexpr -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - numpy -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - openh264 -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - openjpeg -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - openssl -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - pandas -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - pango -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - pcre -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - pillow -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - pixman -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - proj4==5.2.0 -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - protobuf -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - psutil -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - pthread-stubs -> libgcc-ng[version='>=7.2.0'] -> __glibc[version='>=2.17']\n",
      "  - py-opencv -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - pyproj -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - python~=3.7 -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - pytorch==1.5.0 -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - pywavelets -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - pyyaml -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - pyzmq -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - qt -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - readline -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - scikit-image==0.17.2 -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - scipy -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - sqlite -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - tbb -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - tensorboard -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - tensorflow-base -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - tensorflow==1.14.0 -> libgcc-ng[version='>=5.4.0'] -> __glibc[version='>=2.17']\n",
      "  - tesseract==4.1.1 -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - tifffile -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - tk -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - tornado -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - unicodedata2 -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - wrapt -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - x264 -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - xorg-kbproto -> libgcc-ng[version='>=9.3.0'] -> __glibc[version='>=2.17']\n",
      "  - xorg-libice -> libgcc-ng[version='>=9.3.0'] -> __glibc[version='>=2.17']\n",
      "  - xorg-libsm -> libgcc-ng[version='>=9.3.0'] -> __glibc[version='>=2.17']\n",
      "  - xorg-libx11 -> libgcc-ng[version='>=9.3.0'] -> __glibc[version='>=2.17']\n",
      "  - xorg-libxau -> libgcc-ng[version='>=9.3.0'] -> __glibc[version='>=2.17']\n",
      "  - xorg-libxdmcp -> libgcc-ng[version='>=9.3.0'] -> __glibc[version='>=2.17']\n",
      "  - xorg-libxext -> libgcc-ng[version='>=9.3.0'] -> __glibc[version='>=2.17']\n",
      "  - xorg-libxpm -> libgcc-ng[version='>=9.3.0'] -> __glibc[version='>=2.17']\n",
      "  - xorg-libxrender -> libgcc-ng[version='>=9.3.0'] -> __glibc[version='>=2.17']\n",
      "  - xorg-libxt -> libgcc-ng[version='>=9.3.0'] -> __glibc[version='>=2.17']\n",
      "  - xorg-renderproto -> libgcc-ng[version='>=9.3.0'] -> __glibc[version='>=2.17']\n",
      "  - xorg-xextproto -> libgcc-ng[version='>=9.3.0'] -> __glibc[version='>=2.17']\n",
      "  - xorg-xproto -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - xz -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - yaml -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - zeromq -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']\n",
      "  - zlib -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "  - zstd -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']\n",
      "\n",
      "Your installed version is: 2.28\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# notice: installing seaborn might takes a few minutes\n",
    "!conda install -c anaconda seaborn -y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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8WIxAzcyssrTZgpI0CxgJ9JXUBHyL7F17uwD3J89oeii5Y+9jwHckbQG2AudFxOt5d2xmZrYDbSaoiDgzT/HPWln318CvCw3KzMzMz+IzM7NUcoIyM7NUcoIyM7NUcoIyM7NUcoIyM7NUcoIyM7NUcoIyM7NUcoIyM7NUcoIyM7NUcoIyM7NUcoIyM7NUcoIyM7NUcoIyM7NUcoIyM7NUajNBSZouabWkJTlle0u6X9JzyeteOe9NlvS8pGWSPl6qwM3MrLy1pwU1AxizXdnXgXkRMRiYlywjaSgwHhiWbHND8wi7ZmZmHdFmgoqIB4DtR8UdB9ySzN8CfDKn/LaI2BQRLwHPA0cUJ1QzM6sknb0GtW9ErABIXt+XlPcHXslZrykpexdJEyUtkrRozZo1nQzDrDy5fpgV/yYJ5SmLfCtGxLSIqI+I+pqamiKHYdazuX6YdT5BrZLUDyB5XZ2UNwHvz1lvAPBa58MzM7NK1dkEdRdwTjJ/DnBnTvl4SbtIqgMGA48UFqKZmVWindtaQdIsYCTQV1IT8C3gamC2pHOBl4FPA0TEUkmzgaeBLcAFEbG1RLGbmVkZazNBRcSZrbx1XCvrfxf4biFBmZmZ+UkSZmaWSk5QZmaWSk5QZmaWSk5QZmaWSk5QZmaWSk5QZmaWSk5QZmaWSk5QZmaWSk5QZmaWSk5QZmaWSk5QZmaWSk5QZmaWSk5QZmaWSm0+zbw1koYAt+cUHQhcAewJ/AfQPE71ZRHxu84ex8zMKlOnE1RELAMyAJJ6Aa8CdwCfB66LiKnFCNDMzCpTsbr4jgNeiIi/Fml/ZmZW4YqVoMYDs3KWL5T0pKTpkvbKt4GkiZIWSVq0Zs2afKuYVSzXD7MiJChJ7wHGAr9Mim4EBpHt/lsB/CDfdhExLSLqI6K+pqam0DDMyorrh1lxWlCfABZHxCqAiFgVEVsj4m3gZuCIIhzDzMwqTDES1JnkdO9J6pfz3qnAkiIcw8zMKkyn7+IDkNQbOAH4Qk7xNZIyQACN271nZmbWLgUlqIh4C9hnu7KzC4rIzMwMP0nCzMxSygnKzMxSyQnKzMxSyQnKzMxSyQnKzMxSyQnKzMxSqaDbzM16EvWqYsBrTUXZj5mVnhOUVYzYupkjr7in4P08/J0xRYjGzNriLj4zM0slJygzM0slJygzM0slJygzM0slJygzM0slJygzM0ulQseDagTeBLYCWyKiXtLewO1ALdnxoE6PiL8VFqaZmVWaYrSgjo2ITETUJ8tfB+ZFxGBgXrJsFeiAfv2QVPB0QL9+bR/MzMpOKX6oOw4YmczfAiwAvlaC41jKvbxyJU37Dyh4P8V4+oOZ9TyFtqACuE/SY5ImJmX7RsQKgOT1ffk2lDRR0iJJi9asWVNgGGblxfXDrPAEdXREHAZ8ArhA0sfau2FETIuI+oior6mpKTAMs/Li+mFWYIKKiNeS19XAHcARwCpJ/QCS19WFBmlmZpWn0wlK0m6Sdm+eB0YDS4C7gHOS1c4B7iw0SDMzqzyF3CSxL3CHpOb9zIyIeyQ9CsyWdC7wMvDpwsM0M7NK0+kEFREvAv8vT/k64LhCgjIzM/OTJMzMLJWcoMzMLJWcoMzMLJWcoMzMLJWcoMzMLJWcoMzMLJWcoMzMLJWcoMzMLJWcoMzMLJWcoMzMLJWcoMzMKlyxRr8u9gjYpRhR18zMepBijX4NxR0B2y0oMzNLpULGg3q/pPmSnpG0VNKXk/JvS3pVUkMynVi8cM3MrFIU0sW3Bbg4IhYnAxc+Jun+5L3rImJq4eGZmVmlKmQ8qBXAimT+TUnPAP2LFZiZmVW2olyDklQLfBB4OCm6UNKTkqZL2quVbSZKWiRp0Zo1a4oRhlnZcP0wK0KCktQH+DUwKSLeAG4EBgEZsi2sH+TbLiKmRUR9RNTX1NQUGoZZWXH9MCswQUmqIpucbo2I3wBExKqI2BoRbwM3A0cUHqaZmVWaQu7iE/Az4JmIuDanPPdXWqcCSzofnpmZVapC7uI7GjgbeEpSQ1J2GXCmpAwQQCPwhQKOYWZmFaqQu/gWAsrz1u86H46ZmVmWnyRhZmap5GfxWcmoV1VRnsulXlVFiMbMehonKCuZ2LqZI6+4p+D9PPydMUWIxsx6GnfxmZlZKjlBmZlZKjlBmZlZKjlBmZlZKjlBmZl1sWINsV7M4dXTyHfxmZl1sWINsV7M4dXTyC0oMzNLJScoMzNLJXfxmZlVuGI99aV5X8XiBGVmVuGK9dQXKO6TX9zFZ2ZmqVSyBCVpjKRlkp6X9PVC9+fbMs3MKktJuvgk9QJ+ApwANAGPSrorIp7u7D59W6aZWWUp1TWoI4DnI+JFAEm3AeOATieotDmgXz9eXrmy4P0M3G8//rpiRREiKm9SvrExLY1cN9pWrJsSdupVVdZ1QxFR/J1KnwLGRMS/J8tnA0dGxIU560wEJiaLQ4BlRQ+k/foCa7vx+IVw7F2vPXGvjYhOXy1OUf3oqX8jcOzdpa3Y2103StWCypfSt8mEETENmFai43eIpEURUd/dcXSGY+96XRF3WupHT/0bgWPvLsWMvVQ3STQB789ZHgC8VqJjmZlZGSpVgnoUGCypTtJ7gPHAXSU6lpmZlaGSdPFFxBZJFwL3Ar2A6RGxtBTHKpJu70opgGPvej017s7oyefq2LtH0WIvyU0SZmZmhfKTJMzMLJWcoMzMLJUqJkFJ6iXpcUlzk+W9Jd0v6bnkda+cdScnj2haJunj3Rc1SNpT0q8kPSvpGUlH9aDY/1PSUklLJM2SVJ3W2CVNl7Ra0pKcsg7HKulwSU8l7/1YPeBXlK4b3RK760Z76kZEVMQEfAWYCcxNlq8Bvp7Mfx34fjI/FHgC2AWoA14AenVj3LcA/57MvwfYsyfEDvQHXgJ2TZZnAxPSGjvwMeAwYElOWYdjBR4BjiL7W8DfA5/ors9OB87ddaNr43bdaGfd6PbK0UX/wAOAecConEq4DOiXzPcDliXzk4HJOdveCxzVTXHvkXyQtV15T4i9P/AKsDfZu0XnAqPTHDtQu10l7FCsyTrP5pSfCfy0O/79O3DOrhtdH7vrRjvrRqV08f0QuBR4O6ds34hYAZC8vi8pb/7wNGtKyrrDgcAa4OdJF8z/SNqNHhB7RLwKTAVeBlYAf4+I++gBsefoaKz9k/nty9Psh7hudCnXjW3Kd6jsE5Skk4HVEfFYezfJU9Zd9+LvTLZpfWNEfBD4B9nmdGtSE3vSJz2ObDN/f2A3SZ/d0SZ5ytL6G4jWYu1J5+C64bpRCkWtG2WfoICjgbGSGoHbgFGS/hdYJakfQPK6Olk/TY9pagKaIuLhZPlXZCtlT4j9eOCliFgTEZuB3wAfoWfE3qyjsTYl89uXp5XrRvdw3WjnOZR9goqIyRExICJqyT5y6Y8R8Vmyj146J1ntHODOZP4uYLykXSTVAYPJXtzrchGxEnhF0pCk6DiyQ5akPnay3RcfltQ7uVvnOOAZekbszToUa9LV8aakDyfn/LmcbVLHdcN1owBdUze64yJhd03ASN65ELwP2YvDzyWve+esdznZu0+W0c13YQEZYBHwJDAH2KsHxf5fwLPAEuAXZO/sSWXswCyy1wM2k/22d25nYgXqk/N9Abie7S7ip3Vy3ejy2F032lE3/KgjMzNLpbLv4jMzs57JCcrMzFLJCcrMzFLJCcrMzFLJCcrMzFLJCSrFJG2V1JA88fiXknq3st6fO7n/ekk/LiC+9Z3d1qwQrhuVwbeZp5ik9RHRJ5m/FXgsIq7Neb9XRGxNQ3xmXcl1ozK4BdVz/Ak4SNJISfMlzQSegne+rSXvLdA7Y+Tc2jzmiqQPSfqzpCckPSJp92T95jGAvi3pF5L+mIzx8h9JeR9J8yQtTsZyGdc9p2/WKteNMrVzdwdgbZO0M/AJ4J6k6Ajg0Ih4Kc/qHwSGkX3O1YPA0ZIeAW4HzoiIRyXtAWzIs+0I4MPAbsDjku4m+4ytUyPiDUl9gYck3RVuelsKuG6UN7eg0m1XSQ1kH+fyMvCzpPyRVipg83tNEfE20EB2HJchwIqIeBQgIt6IiC15tr0zIjZExFpgPtnKLuAqSU8CfyD7iPx9i3FyZgVw3agAbkGl24aIyOQWJL0S/9jBNpty5reS/RuL9j2ef/t1AjgLqAEOj4jNyj75urod+zIrJdeNCuAWVGV4Fthf0ocAkj72fF9OxkmqlrQP2YeHPgq8l+yYQZslHQsc0FVBm3UB140UcwuqAkTEPyWdAfy3pF3J9rEfn2fVR4C7gYHAlRHxWnKH1G8lLSLbLfJsF4VtVnKuG+nm28wNyN6pBKyPiKndHYtZmrhudB938ZmZWSq5BWVmZqnkFpSZmaWSE5SZmaWSE5SZmaWSE5SZmaWSE5SZmaXS/wcYrwBshU/c+gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x216 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "\n",
    "bins = np.linspace(df.Principal.min(), df.Principal.max(), 10)\n",
    "g = sns.FacetGrid(df, col=\"Gender\", hue=\"loan_status\", palette=\"Set1\", col_wrap=2)\n",
    "g.map(plt.hist, 'Principal', bins=bins, ec=\"k\")\n",
    "\n",
    "g.axes[-1].legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x216 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "bins = np.linspace(df.age.min(), df.age.max(), 10)\n",
    "g = sns.FacetGrid(df, col=\"Gender\", hue=\"loan_status\", palette=\"Set1\", col_wrap=2)\n",
    "g.map(plt.hist, 'age', bins=bins, ec=\"k\")\n",
    "\n",
    "g.axes[-1].legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "# Pre-processing:  Feature selection/extraction\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "### Let's look at the day of the week people get the loan\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x216 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['dayofweek'] = df['effective_date'].dt.dayofweek\n",
    "bins = np.linspace(df.dayofweek.min(), df.dayofweek.max(), 10)\n",
    "g = sns.FacetGrid(df, col=\"Gender\", hue=\"loan_status\", palette=\"Set1\", col_wrap=2)\n",
    "g.map(plt.hist, 'dayofweek', bins=bins, ec=\"k\")\n",
    "g.axes[-1].legend()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "We see that people who get the loan at the end of the week don't pay it off, so let's use Feature binarization to set a threshold value less than day 4\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Unnamed: 0.1</th>\n",
       "      <th>loan_status</th>\n",
       "      <th>Principal</th>\n",
       "      <th>terms</th>\n",
       "      <th>effective_date</th>\n",
       "      <th>due_date</th>\n",
       "      <th>age</th>\n",
       "      <th>education</th>\n",
       "      <th>Gender</th>\n",
       "      <th>dayofweek</th>\n",
       "      <th>weekend</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PAIDOFF</td>\n",
       "      <td>1000</td>\n",
       "      <td>30</td>\n",
       "      <td>2016-09-08</td>\n",
       "      <td>2016-10-07</td>\n",
       "      <td>45</td>\n",
       "      <td>High School or Below</td>\n",
       "      <td>male</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>PAIDOFF</td>\n",
       "      <td>1000</td>\n",
       "      <td>30</td>\n",
       "      <td>2016-09-08</td>\n",
       "      <td>2016-10-07</td>\n",
       "      <td>33</td>\n",
       "      <td>Bechalor</td>\n",
       "      <td>female</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>PAIDOFF</td>\n",
       "      <td>1000</td>\n",
       "      <td>15</td>\n",
       "      <td>2016-09-08</td>\n",
       "      <td>2016-09-22</td>\n",
       "      <td>27</td>\n",
       "      <td>college</td>\n",
       "      <td>male</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>PAIDOFF</td>\n",
       "      <td>1000</td>\n",
       "      <td>30</td>\n",
       "      <td>2016-09-09</td>\n",
       "      <td>2016-10-08</td>\n",
       "      <td>28</td>\n",
       "      <td>college</td>\n",
       "      <td>female</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>PAIDOFF</td>\n",
       "      <td>1000</td>\n",
       "      <td>30</td>\n",
       "      <td>2016-09-09</td>\n",
       "      <td>2016-10-08</td>\n",
       "      <td>29</td>\n",
       "      <td>college</td>\n",
       "      <td>male</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0  Unnamed: 0.1 loan_status  Principal  terms effective_date  \\\n",
       "0           0             0     PAIDOFF       1000     30     2016-09-08   \n",
       "1           2             2     PAIDOFF       1000     30     2016-09-08   \n",
       "2           3             3     PAIDOFF       1000     15     2016-09-08   \n",
       "3           4             4     PAIDOFF       1000     30     2016-09-09   \n",
       "4           6             6     PAIDOFF       1000     30     2016-09-09   \n",
       "\n",
       "    due_date  age             education  Gender  dayofweek  weekend  \n",
       "0 2016-10-07   45  High School or Below    male          3        0  \n",
       "1 2016-10-07   33              Bechalor  female          3        0  \n",
       "2 2016-09-22   27               college    male          3        0  \n",
       "3 2016-10-08   28               college  female          4        1  \n",
       "4 2016-10-08   29               college    male          4        1  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['weekend'] = df['dayofweek'].apply(lambda x: 1 if (x>3)  else 0)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "## Convert Categorical features to numerical values\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "Let's look at gender:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Gender  loan_status\n",
       "female  PAIDOFF        0.865385\n",
       "        COLLECTION     0.134615\n",
       "male    PAIDOFF        0.731293\n",
       "        COLLECTION     0.268707\n",
       "Name: loan_status, dtype: float64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby(['Gender'])['loan_status'].value_counts(normalize=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "86 % of female pay there loans while only 73 % of males pay there loan\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "Let's convert male to 0 and female to 1:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Unnamed: 0.1</th>\n",
       "      <th>loan_status</th>\n",
       "      <th>Principal</th>\n",
       "      <th>terms</th>\n",
       "      <th>effective_date</th>\n",
       "      <th>due_date</th>\n",
       "      <th>age</th>\n",
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       "      <th>0</th>\n",
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       "      <td>1000</td>\n",
       "      <td>30</td>\n",
       "      <td>2016-09-08</td>\n",
       "      <td>2016-10-07</td>\n",
       "      <td>45</td>\n",
       "      <td>High School or Below</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>PAIDOFF</td>\n",
       "      <td>1000</td>\n",
       "      <td>30</td>\n",
       "      <td>2016-09-08</td>\n",
       "      <td>2016-10-07</td>\n",
       "      <td>33</td>\n",
       "      <td>Bechalor</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>PAIDOFF</td>\n",
       "      <td>1000</td>\n",
       "      <td>15</td>\n",
       "      <td>2016-09-08</td>\n",
       "      <td>2016-09-22</td>\n",
       "      <td>27</td>\n",
       "      <td>college</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>PAIDOFF</td>\n",
       "      <td>1000</td>\n",
       "      <td>30</td>\n",
       "      <td>2016-09-09</td>\n",
       "      <td>2016-10-08</td>\n",
       "      <td>28</td>\n",
       "      <td>college</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>PAIDOFF</td>\n",
       "      <td>1000</td>\n",
       "      <td>30</td>\n",
       "      <td>2016-09-09</td>\n",
       "      <td>2016-10-08</td>\n",
       "      <td>29</td>\n",
       "      <td>college</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0  Unnamed: 0.1 loan_status  Principal  terms effective_date  \\\n",
       "0           0             0     PAIDOFF       1000     30     2016-09-08   \n",
       "1           2             2     PAIDOFF       1000     30     2016-09-08   \n",
       "2           3             3     PAIDOFF       1000     15     2016-09-08   \n",
       "3           4             4     PAIDOFF       1000     30     2016-09-09   \n",
       "4           6             6     PAIDOFF       1000     30     2016-09-09   \n",
       "\n",
       "    due_date  age             education  Gender  dayofweek  weekend  \n",
       "0 2016-10-07   45  High School or Below       0          3        0  \n",
       "1 2016-10-07   33              Bechalor       1          3        0  \n",
       "2 2016-09-22   27               college       0          3        0  \n",
       "3 2016-10-08   28               college       1          4        1  \n",
       "4 2016-10-08   29               college       0          4        1  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Gender'].replace(to_replace=['male','female'], value=[0,1],inplace=True)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "## One Hot Encoding\n",
    "\n",
    "#### How about education?\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "education             loan_status\n",
       "Bechalor              PAIDOFF        0.750000\n",
       "                      COLLECTION     0.250000\n",
       "High School or Below  PAIDOFF        0.741722\n",
       "                      COLLECTION     0.258278\n",
       "Master or Above       COLLECTION     0.500000\n",
       "                      PAIDOFF        0.500000\n",
       "college               PAIDOFF        0.765101\n",
       "                      COLLECTION     0.234899\n",
       "Name: loan_status, dtype: float64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby(['education'])['loan_status'].value_counts(normalize=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "#### Features before One Hot Encoding\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Principal</th>\n",
       "      <th>terms</th>\n",
       "      <th>age</th>\n",
       "      <th>Gender</th>\n",
       "      <th>education</th>\n",
       "    </tr>\n",
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       "      <th>0</th>\n",
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       "      <td>0</td>\n",
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       "      <th>1</th>\n",
       "      <td>1000</td>\n",
       "      <td>30</td>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>Bechalor</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1000</td>\n",
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       "      <td>27</td>\n",
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       "      <td>college</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1000</td>\n",
       "      <td>30</td>\n",
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       "      <td>1</td>\n",
       "      <td>college</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1000</td>\n",
       "      <td>30</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>college</td>\n",
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       "  </tbody>\n",
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       "</div>"
      ],
      "text/plain": [
       "   Principal  terms  age  Gender             education\n",
       "0       1000     30   45       0  High School or Below\n",
       "1       1000     30   33       1              Bechalor\n",
       "2       1000     15   27       0               college\n",
       "3       1000     30   28       1               college\n",
       "4       1000     30   29       0               college"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[['Principal','terms','age','Gender','education']].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "#### Use one hot encoding technique to conver categorical varables to binary variables and append them to the feature Data Frame\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Principal</th>\n",
       "      <th>terms</th>\n",
       "      <th>age</th>\n",
       "      <th>Gender</th>\n",
       "      <th>weekend</th>\n",
       "      <th>Bechalor</th>\n",
       "      <th>High School or Below</th>\n",
       "      <th>college</th>\n",
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       "  <tbody>\n",
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       "      <th>0</th>\n",
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       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
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       "      <th>2</th>\n",
       "      <td>1000</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1000</td>\n",
       "      <td>30</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1000</td>\n",
       "      <td>30</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Principal  terms  age  Gender  weekend  Bechalor  High School or Below  \\\n",
       "0       1000     30   45       0        0         0                     1   \n",
       "1       1000     30   33       1        0         1                     0   \n",
       "2       1000     15   27       0        0         0                     0   \n",
       "3       1000     30   28       1        1         0                     0   \n",
       "4       1000     30   29       0        1         0                     0   \n",
       "\n",
       "   college  \n",
       "0        0  \n",
       "1        0  \n",
       "2        1  \n",
       "3        1  \n",
       "4        1  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Feature = df[['Principal','terms','age','Gender','weekend']]\n",
    "Feature = pd.concat([Feature,pd.get_dummies(df['education'])], axis=1)\n",
    "Feature.drop(['Master or Above'], axis = 1,inplace=True)\n",
    "Feature.head()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "### Feature Selection\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "Let's define feature sets, X:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Principal</th>\n",
       "      <th>terms</th>\n",
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       "      <th>Gender</th>\n",
       "      <th>weekend</th>\n",
       "      <th>Bechalor</th>\n",
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       "      <th>2</th>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1000</td>\n",
       "      <td>30</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1000</td>\n",
       "      <td>30</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Principal  terms  age  Gender  weekend  Bechalor  High School or Below  \\\n",
       "0       1000     30   45       0        0         0                     1   \n",
       "1       1000     30   33       1        0         1                     0   \n",
       "2       1000     15   27       0        0         0                     0   \n",
       "3       1000     30   28       1        1         0                     0   \n",
       "4       1000     30   29       0        1         0                     0   \n",
       "\n",
       "   college  \n",
       "0        0  \n",
       "1        0  \n",
       "2        1  \n",
       "3        1  \n",
       "4        1  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X = Feature\n",
    "X[0:5]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "What are our lables?\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['PAIDOFF', 'PAIDOFF', 'PAIDOFF', 'PAIDOFF', 'PAIDOFF'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y = df['loan_status'].values\n",
    "y[0:5]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "## Normalize Data\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "Data Standardization give data zero mean and unit variance (technically should be done after train test split)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/preprocessing/data.py:625: DataConversionWarning: Data with input dtype uint8, int64 were all converted to float64 by StandardScaler.\n",
      "  return self.partial_fit(X, y)\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/ipykernel_launcher.py:1: DataConversionWarning: Data with input dtype uint8, int64 were all converted to float64 by StandardScaler.\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([[ 0.51578458,  0.92071769,  2.33152555, -0.42056004, -1.20577805,\n",
       "        -0.38170062,  1.13639374, -0.86968108],\n",
       "       [ 0.51578458,  0.92071769,  0.34170148,  2.37778177, -1.20577805,\n",
       "         2.61985426, -0.87997669, -0.86968108],\n",
       "       [ 0.51578458, -0.95911111, -0.65321055, -0.42056004, -1.20577805,\n",
       "        -0.38170062, -0.87997669,  1.14984679],\n",
       "       [ 0.51578458,  0.92071769, -0.48739188,  2.37778177,  0.82934003,\n",
       "        -0.38170062, -0.87997669,  1.14984679],\n",
       "       [ 0.51578458,  0.92071769, -0.3215732 , -0.42056004,  0.82934003,\n",
       "        -0.38170062, -0.87997669,  1.14984679]])"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X= preprocessing.StandardScaler().fit(X).transform(X)\n",
    "X[0:5]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "# Classification\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "Now, it is your turn, use the training set to build an accurate model. Then use the test set to report the accuracy of the model\n",
    "You should use the following algorithm:\n",
    "\n",
    "*   K Nearest Neighbor(KNN)\n",
    "*   Decision Tree\n",
    "*   Support Vector Machine\n",
    "*   Logistic Regression\n",
    "\n",
    "\\__ Notice:\\__\n",
    "\n",
    "*   You can go above and change the pre-processing, feature selection, feature-extraction, and so on, to make a better model.\n",
    "*   You should use either scikit-learn, Scipy or Numpy libraries for developing the classification algorithms.\n",
    "*   You should include the code of the algorithm in the following cells.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# K Nearest Neighbor(KNN)\n",
    "\n",
    "Notice: You should find the best k to build the model with the best accuracy.\\\n",
    "**warning:** You should not use the **loan_test.csv** for finding the best k, however, you can split your train_loan.csv into train and test to find the best **k**.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import jaccard_similarity_score, f1_score, accuracy_score, log_loss\n",
    "from sklearn.model_selection import train_test_split\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.2, random_state = 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/neighbors/base.py:907: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  self._y = np.empty(y.shape, dtype=np.int)\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/neighbors/base.py:442: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n",
      "  old_joblib = LooseVersion(joblib_version) < LooseVersion('0.12')\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/neighbors/base.py:442: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n",
      "  old_joblib = LooseVersion(joblib_version) < LooseVersion('0.12')\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/neighbors/base.py:907: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  self._y = np.empty(y.shape, dtype=np.int)\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/neighbors/base.py:442: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n",
      "  old_joblib = LooseVersion(joblib_version) < LooseVersion('0.12')\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/neighbors/base.py:442: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n",
      "  old_joblib = LooseVersion(joblib_version) < LooseVersion('0.12')\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/neighbors/base.py:907: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  self._y = np.empty(y.shape, dtype=np.int)\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/neighbors/base.py:442: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n",
      "  old_joblib = LooseVersion(joblib_version) < LooseVersion('0.12')\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/neighbors/base.py:442: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n",
      "  old_joblib = LooseVersion(joblib_version) < LooseVersion('0.12')\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/neighbors/base.py:907: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  self._y = np.empty(y.shape, dtype=np.int)\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/neighbors/base.py:442: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n",
      "  old_joblib = LooseVersion(joblib_version) < LooseVersion('0.12')\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/neighbors/base.py:442: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n",
      "  old_joblib = LooseVersion(joblib_version) < LooseVersion('0.12')\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/neighbors/base.py:907: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  self._y = np.empty(y.shape, dtype=np.int)\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/neighbors/base.py:442: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n",
      "  old_joblib = LooseVersion(joblib_version) < LooseVersion('0.12')\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/neighbors/base.py:442: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n",
      "  old_joblib = LooseVersion(joblib_version) < LooseVersion('0.12')\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/neighbors/base.py:907: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  self._y = np.empty(y.shape, dtype=np.int)\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/neighbors/base.py:442: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n",
      "  old_joblib = LooseVersion(joblib_version) < LooseVersion('0.12')\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/neighbors/base.py:442: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n",
      "  old_joblib = LooseVersion(joblib_version) < LooseVersion('0.12')\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/neighbors/base.py:907: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  self._y = np.empty(y.shape, dtype=np.int)\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/neighbors/base.py:442: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n",
      "  old_joblib = LooseVersion(joblib_version) < LooseVersion('0.12')\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/neighbors/base.py:442: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n",
      "  old_joblib = LooseVersion(joblib_version) < LooseVersion('0.12')\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/neighbors/base.py:907: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  self._y = np.empty(y.shape, dtype=np.int)\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/neighbors/base.py:442: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n",
      "  old_joblib = LooseVersion(joblib_version) < LooseVersion('0.12')\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/neighbors/base.py:442: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n",
      "  old_joblib = LooseVersion(joblib_version) < LooseVersion('0.12')\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/neighbors/base.py:907: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  self._y = np.empty(y.shape, dtype=np.int)\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/neighbors/base.py:442: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n",
      "  old_joblib = LooseVersion(joblib_version) < LooseVersion('0.12')\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/neighbors/base.py:442: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n",
      "  old_joblib = LooseVersion(joblib_version) < LooseVersion('0.12')\n"
     ]
    }
   ],
   "source": [
    "from sklearn.neighbors import KNeighborsClassifier as knn\n",
    "\n",
    "k = range(1, 10)\n",
    "accuracy = []\n",
    "\n",
    "for n in k:\n",
    "    knn_model  = knn(n_neighbors = n)\n",
    "    knn_model.fit(X_train, y_train)\n",
    "    knn_yhat = knn_model.predict(X_test)\n",
    "    accuracy.append(accuracy_score(y_test, knn_yhat))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "k = 1 scored = 0.6428571428571429 \n",
      "k = 2 scored = 0.5571428571428572 \n",
      "k = 3 scored = 0.7142857142857143 \n",
      "k = 4 scored = 0.6285714285714286 \n",
      "k = 5 scored = 0.7571428571428571 \n",
      "k = 6 scored = 0.6571428571428571 \n",
      "k = 7 scored = 0.7571428571428571 \n",
      "k = 8 scored = 0.7142857142857143 \n",
      "k = 9 scored = 0.7 \n"
     ]
    }
   ],
   "source": [
    "for i in range(0, len(accuracy)):\n",
    "    print(f\"k = {i+1} scored = {accuracy[i]} \")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/neighbors/base.py:907: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  self._y = np.empty(y.shape, dtype=np.int)\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/neighbors/base.py:442: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n",
      "  old_joblib = LooseVersion(joblib_version) < LooseVersion('0.12')\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/neighbors/base.py:442: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n",
      "  old_joblib = LooseVersion(joblib_version) < LooseVersion('0.12')\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',\n",
       "           metric_params=None, n_jobs=None, n_neighbors=9, p=2,\n",
       "           weights='uniform')"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "best_knn_model = knn(n_neighbors = 5)\n",
    "knn_model.fit(X_train, y_train)\n",
    "knn_yhat = knn_model.predict(X_test)\n",
    "\n",
    "knn_model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Decision Tree\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/tree/tree.py:149: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  y_encoded = np.zeros(y.shape, dtype=np.int)\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/metrics/classification.py:1143: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples.\n",
      "  'precision', 'predicted', average, warn_for)\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/tree/tree.py:149: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  y_encoded = np.zeros(y.shape, dtype=np.int)\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/metrics/classification.py:1143: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples.\n",
      "  'precision', 'predicted', average, warn_for)\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/tree/tree.py:149: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  y_encoded = np.zeros(y.shape, dtype=np.int)\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/tree/tree.py:149: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  y_encoded = np.zeros(y.shape, dtype=np.int)\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/tree/tree.py:149: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  y_encoded = np.zeros(y.shape, dtype=np.int)\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/tree/tree.py:149: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  y_encoded = np.zeros(y.shape, dtype=np.int)\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/tree/tree.py:149: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  y_encoded = np.zeros(y.shape, dtype=np.int)\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/tree/tree.py:149: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  y_encoded = np.zeros(y.shape, dtype=np.int)\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/tree/tree.py:149: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  y_encoded = np.zeros(y.shape, dtype=np.int)\n"
     ]
    }
   ],
   "source": [
    "from sklearn.tree import DecisionTreeClassifier \n",
    "depth_range = range(1, 10)\n",
    "jaccard_similarity_score_ = []\n",
    "f1_score_ = []\n",
    "\n",
    "for d in depth_range:\n",
    "    dt = DecisionTreeClassifier(criterion = 'gini', max_depth = d)\n",
    "    dt.fit(X_train, y_train)\n",
    "    dt_yhat = dt.predict(X_test)\n",
    "    jaccard_similarity_score_.append(jaccard_similarity_score(y_test, dt_yhat))\n",
    "    f1_score_.append(f1_score(y_test, dt_yhat, average = 'weighted'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Evaluation Metrices</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Jaccard</th>\n",
       "      <td>0.828571</td>\n",
       "      <td>0.828571</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>0.70000</td>\n",
       "      <td>0.642857</td>\n",
       "      <td>0.671429</td>\n",
       "      <td>0.714286</td>\n",
       "      <td>0.728571</td>\n",
       "      <td>0.742857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>F1 Score</th>\n",
       "      <td>0.750893</td>\n",
       "      <td>0.750893</td>\n",
       "      <td>0.736508</td>\n",
       "      <td>0.69476</td>\n",
       "      <td>0.657958</td>\n",
       "      <td>0.676571</td>\n",
       "      <td>0.722768</td>\n",
       "      <td>0.740048</td>\n",
       "      <td>0.742857</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Evaluation Metrices         1         2         3        4         5  \\\n",
       "Jaccard              0.828571  0.828571  0.800000  0.70000  0.642857   \n",
       "F1 Score             0.750893  0.750893  0.736508  0.69476  0.657958   \n",
       "\n",
       "Evaluation Metrices         6         7         8         9  \n",
       "Jaccard              0.671429  0.714286  0.728571  0.742857  \n",
       "F1 Score             0.676571  0.722768  0.740048  0.742857  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result = pd.DataFrame([jaccard_similarity_score_, f1_score_], index = ['Jaccard', 'F1 Score'], columns = ['1','2','3','4','5','6','7','8','9'])\n",
    "result.columns.name = 'Evaluation Metrices'\n",
    "result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/tree/tree.py:149: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  y_encoded = np.zeros(y.shape, dtype=np.int)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=2,\n",
       "            max_features=None, max_leaf_nodes=None,\n",
       "            min_impurity_decrease=0.0, min_impurity_split=None,\n",
       "            min_samples_leaf=1, min_samples_split=2,\n",
       "            min_weight_fraction_leaf=0.0, presort=False, random_state=None,\n",
       "            splitter='best')"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dtree_model = DecisionTreeClassifier(criterion = 'gini', max_depth = 2)\n",
    "dtree_model.fit(X_train, y_train)\n",
    "dtree_model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Support Vector Machine\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/linear_model/least_angle.py:35: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  eps=np.finfo(np.float).eps,\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/linear_model/least_angle.py:597: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  eps=np.finfo(np.float).eps, copy_X=True, fit_path=True,\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/linear_model/least_angle.py:836: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  eps=np.finfo(np.float).eps, copy_X=True, fit_path=True,\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/linear_model/least_angle.py:862: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  eps=np.finfo(np.float).eps, positive=False):\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/linear_model/least_angle.py:1097: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  max_n_alphas=1000, n_jobs=None, eps=np.finfo(np.float).eps,\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/linear_model/least_angle.py:1344: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  max_n_alphas=1000, n_jobs=None, eps=np.finfo(np.float).eps,\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/linear_model/least_angle.py:1480: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  eps=np.finfo(np.float).eps, copy_X=True, positive=False):\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/linear_model/randomized_l1.py:152: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  precompute=False, eps=np.finfo(np.float).eps,\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/linear_model/randomized_l1.py:320: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  eps=np.finfo(np.float).eps, random_state=None,\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/linear_model/randomized_l1.py:580: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  eps=4 * np.finfo(np.float).eps, n_jobs=None,\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/metrics/classification.py:1143: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples.\n",
      "  'precision', 'predicted', average, warn_for)\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/metrics/classification.py:1143: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples.\n",
      "  'precision', 'predicted', average, warn_for)\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/metrics/classification.py:1143: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples.\n",
      "  'precision', 'predicted', average, warn_for)\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/metrics/classification.py:1143: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples.\n",
      "  'precision', 'predicted', average, warn_for)\n"
     ]
    }
   ],
   "source": [
    "from sklearn.svm import SVC \n",
    "\n",
    "kernels = ['sigmoid', 'poly', 'rbf', 'linear']\n",
    "accuracy = []\n",
    "\n",
    "for k in kernels:\n",
    "    svc_model = SVC(C = 0.01, gamma = 'auto', kernel = k)\n",
    "    svc_model.fit(X_train, y_train)\n",
    "    svc_yhat = svc_model.predict(X_test)\n",
    "    accuracy.append(f1_score(y_test, svc_yhat, average = 'weighted'))\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[0.7508928571428571,\n",
       " 0.7508928571428571,\n",
       " 0.7508928571428571,\n",
       " 0.7508928571428571]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SVC(C=0.01, cache_size=200, class_weight=None, coef0=0.0,\n",
       "  decision_function_shape='ovr', degree=3, gamma='auto', kernel='sigmoid',\n",
       "  max_iter=-1, probability=False, random_state=None, shrinking=True,\n",
       "  tol=0.001, verbose=False)"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "svc_model = SVC(C = 0.01, gamma = 'auto', kernel = 'sigmoid')\n",
    "svc_model.fit(X_train, y_train)\n",
    "svc_model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Logistic Regression\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LogisticRegression "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/utils/fixes.py:357: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n",
      "  if _joblib.__version__ >= LooseVersion('0.12'):\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/linear_model/base.py:283: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  indices = (scores > 0).astype(np.int)\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/utils/fixes.py:357: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n",
      "  if _joblib.__version__ >= LooseVersion('0.12'):\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/linear_model/base.py:283: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  indices = (scores > 0).astype(np.int)\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/linear_model/base.py:283: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  indices = (scores > 0).astype(np.int)\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/utils/fixes.py:357: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n",
      "  if _joblib.__version__ >= LooseVersion('0.12'):\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/linear_model/base.py:283: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  indices = (scores > 0).astype(np.int)\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/utils/fixes.py:357: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n",
      "  if _joblib.__version__ >= LooseVersion('0.12'):\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/linear_model/base.py:283: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  indices = (scores > 0).astype(np.int)\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/utils/fixes.py:357: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n",
      "  if _joblib.__version__ >= LooseVersion('0.12'):\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/linear_model/base.py:283: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  indices = (scores > 0).astype(np.int)\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/utils/fixes.py:357: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n",
      "  if _joblib.__version__ >= LooseVersion('0.12'):\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/linear_model/base.py:283: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  indices = (scores > 0).astype(np.int)\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/linear_model/base.py:283: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  indices = (scores > 0).astype(np.int)\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/utils/fixes.py:357: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n",
      "  if _joblib.__version__ >= LooseVersion('0.12'):\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test 1: Accuracy at C = 0.1 when Solver = lbfgs is : 0.4343730868201016\n",
      "Test 2: Accuracy at C = 0.1 when Solver = saga is : 0.4343727759960503\n",
      "Test 3: Accuracy at C = 0.1 when Solver = liblinear is : 0.4549507341538283\n",
      "Test 4: Accuracy at C = 0.1 when Solver = newton-cg is : 0.43437272447873787\n",
      "Test 5: Accuracy at C = 0.1 when Solver = sag is : 0.4343740968206967\n",
      "\n",
      "\n",
      "Test 6: Accuracy at C = 0.01 when Solver = lbfgs is : 0.4529024775789561\n",
      "Test 7: Accuracy at C = 0.01 when Solver = saga is : 0.4529023344852285\n",
      "Test 8: Accuracy at C = 0.01 when Solver = liblinear is : 0.5596633457155464\n",
      "Test 9: Accuracy at C = 0.01 when Solver = newton-cg is : 0.4529024348154771\n",
      "Test 10: Accuracy at C = 0.01 when Solver = sag is : 0.4528964763707856\n",
      "\n",
      "\n",
      "Test 11: Accuracy at C = 0.001 when Solver = lbfgs is : 0.4787024545768454\n",
      "Test 12: Accuracy at C = 0.001 when Solver = saga is : 0.4787008754557648\n",
      "Test 13: Accuracy at C = 0.001 when Solver = liblinear is : 0.6685399066061887\n",
      "Test 14: Accuracy at C = 0.001 when Solver = newton-cg is : 0.4787024591671967\n",
      "Test 15: Accuracy at C = 0.001 when Solver = sag is : 0.47868870102225064\n",
      "\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/linear_model/base.py:283: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  indices = (scores > 0).astype(np.int)\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/utils/fixes.py:357: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n",
      "  if _joblib.__version__ >= LooseVersion('0.12'):\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/linear_model/base.py:283: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  indices = (scores > 0).astype(np.int)\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/utils/fixes.py:357: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n",
      "  if _joblib.__version__ >= LooseVersion('0.12'):\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/linear_model/base.py:283: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  indices = (scores > 0).astype(np.int)\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/utils/fixes.py:357: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n",
      "  if _joblib.__version__ >= LooseVersion('0.12'):\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/linear_model/base.py:283: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  indices = (scores > 0).astype(np.int)\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/linear_model/base.py:283: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  indices = (scores > 0).astype(np.int)\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/utils/fixes.py:357: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n",
      "  if _joblib.__version__ >= LooseVersion('0.12'):\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/linear_model/base.py:283: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  indices = (scores > 0).astype(np.int)\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/utils/fixes.py:357: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n",
      "  if _joblib.__version__ >= LooseVersion('0.12'):\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/linear_model/base.py:283: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  indices = (scores > 0).astype(np.int)\n"
     ]
    }
   ],
   "source": [
    "solvers = ['lbfgs', 'saga', 'liblinear', 'newton-cg', 'sag']\n",
    "regularization_val = [0.1, 0.01, 0.001]\n",
    "index = []\n",
    "accuracy_score = []\n",
    "iterations = 0\n",
    "\n",
    "for index1, c in enumerate(regularization_val):\n",
    "    for index2, solver in enumerate(solvers):\n",
    "        index.append(index1 + index2 *5)\n",
    "        iterations +=1\n",
    "        lr_model = LogisticRegression(C = c, solver = solver)\n",
    "        lr_model.fit(X_train, y_train)\n",
    "        lr_yhat = lr_model.predict(X_test)\n",
    "        y_prob = lr_model.predict_proba(X_test)\n",
    "        print('Test {}: Accuracy at C = {} when Solver = {} is : {}'.format(iterations, c, solver, log_loss(y_test, y_prob) ))\n",
    "        accuracy_score.append(log_loss(y_test, y_prob))\n",
    "\n",
    "    print('\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Testing Accuracy')"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "lr_prob = lr_model.predict_proba(X_test)\n",
    "log_loss(y_test, lr_prob)\n",
    "plt.plot(index, accuracy_score)\n",
    "plt.xlabel('Parameter Value')\n",
    "plt.ylabel('Testing Accuracy')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LogisticRegression(C=0.001, class_weight=None, dual=False, fit_intercept=True,\n",
       "          intercept_scaling=1, max_iter=100, multi_class='warn',\n",
       "          n_jobs=None, penalty='l2', random_state=None, solver='liblinear',\n",
       "          tol=0.0001, verbose=0, warm_start=False)"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lr_model = LogisticRegression(C = 0.001, solver = 'liblinear')\n",
    "lr_model.fit(X_train, y_train)\n",
    "lr_model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Model Evaluation using Test set\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import jaccard_similarity_score\n",
    "from sklearn.metrics import f1_score\n",
    "from sklearn.metrics import log_loss\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, download and load the test set:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--2022-06-03 04:35:44--  https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/ML0101ENv3/labs/loan_test.csv\n",
      "Resolving s3-api.us-geo.objectstorage.softlayer.net (s3-api.us-geo.objectstorage.softlayer.net)... 67.228.254.196\n",
      "Connecting to s3-api.us-geo.objectstorage.softlayer.net (s3-api.us-geo.objectstorage.softlayer.net)|67.228.254.196|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 3642 (3.6K) [text/csv]\n",
      "Saving to: ‘loan_test.csv’\n",
      "\n",
      "loan_test.csv       100%[===================>]   3.56K  --.-KB/s    in 0s      \n",
      "\n",
      "2022-06-03 04:35:44 (124 MB/s) - ‘loan_test.csv’ saved [3642/3642]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "!wget -O loan_test.csv https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/ML0101ENv3/labs/loan_test.csv"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "### Load Test set for evaluation\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Unnamed: 0.1</th>\n",
       "      <th>loan_status</th>\n",
       "      <th>Principal</th>\n",
       "      <th>terms</th>\n",
       "      <th>effective_date</th>\n",
       "      <th>due_date</th>\n",
       "      <th>age</th>\n",
       "      <th>education</th>\n",
       "      <th>Gender</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>PAIDOFF</td>\n",
       "      <td>1000</td>\n",
       "      <td>30</td>\n",
       "      <td>9/8/2016</td>\n",
       "      <td>10/7/2016</td>\n",
       "      <td>50</td>\n",
       "      <td>Bechalor</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>PAIDOFF</td>\n",
       "      <td>300</td>\n",
       "      <td>7</td>\n",
       "      <td>9/9/2016</td>\n",
       "      <td>9/15/2016</td>\n",
       "      <td>35</td>\n",
       "      <td>Master or Above</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>PAIDOFF</td>\n",
       "      <td>1000</td>\n",
       "      <td>30</td>\n",
       "      <td>9/10/2016</td>\n",
       "      <td>10/9/2016</td>\n",
       "      <td>43</td>\n",
       "      <td>High School or Below</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>PAIDOFF</td>\n",
       "      <td>1000</td>\n",
       "      <td>30</td>\n",
       "      <td>9/10/2016</td>\n",
       "      <td>10/9/2016</td>\n",
       "      <td>26</td>\n",
       "      <td>college</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>PAIDOFF</td>\n",
       "      <td>800</td>\n",
       "      <td>15</td>\n",
       "      <td>9/11/2016</td>\n",
       "      <td>9/25/2016</td>\n",
       "      <td>29</td>\n",
       "      <td>Bechalor</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0  Unnamed: 0.1 loan_status  Principal  terms effective_date  \\\n",
       "0           1             1     PAIDOFF       1000     30       9/8/2016   \n",
       "1           5             5     PAIDOFF        300      7       9/9/2016   \n",
       "2          21            21     PAIDOFF       1000     30      9/10/2016   \n",
       "3          24            24     PAIDOFF       1000     30      9/10/2016   \n",
       "4          35            35     PAIDOFF        800     15      9/11/2016   \n",
       "\n",
       "    due_date  age             education  Gender  \n",
       "0  10/7/2016   50              Bechalor  female  \n",
       "1  9/15/2016   35       Master or Above    male  \n",
       "2  10/9/2016   43  High School or Below  female  \n",
       "3  10/9/2016   26               college    male  \n",
       "4  9/25/2016   29              Bechalor    male  "
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_df = pd.read_csv('loan_test.csv')\n",
    "test_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/preprocessing/data.py:625: DataConversionWarning: Data with input dtype uint8, int64 were all converted to float64 by StandardScaler.\n",
      "  return self.partial_fit(X, y)\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/ipykernel_launcher.py:17: DataConversionWarning: Data with input dtype uint8, int64 were all converted to float64 by StandardScaler.\n",
      "  app.launch_new_instance()\n"
     ]
    }
   ],
   "source": [
    "test_df['due_date'] = pd.to_datetime(test_df['due_date'])\n",
    "test_df['effective_date'] = pd.to_datetime(test_df['effective_date'])\n",
    "test_df['dayofweek'] = test_df['effective_date'].dt.dayofweek\n",
    "\n",
    "test_df['weekend'] = test_df['dayofweek'].apply(lambda x: 1 if (x>3)  else 0)\n",
    "\n",
    "test_df['Gender'].replace(to_replace=['Male','Eemale'], value=[0,1],inplace=True)\n",
    "\n",
    "test_feature = test_df[['Principal','terms','age','Gender','weekend']]\n",
    "test_feature = pd.concat([test_feature,pd.get_dummies(test_df['education'])], axis=1)\n",
    "test_feature.drop(['Master or Above'], axis = 1,inplace=True)\n",
    "\n",
    "X_loan_test = test_feature\n",
    "\n",
    "X_loan_test = preprocessing.StandardScaler().fit(X_loan_test).transform(X_loan_test)\n",
    "\n",
    "y_loan_test = test_df['loan_status'].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 0.49362588  0.92844966  3.05981865  1.97714211 -1.30384048  2.39791576\n",
      "  -0.79772404 -0.86135677]\n",
      " [-3.56269116 -1.70427745  0.53336288 -0.50578054  0.76696499 -0.41702883\n",
      "  -0.79772404 -0.86135677]\n",
      " [ 0.49362588  0.92844966  1.88080596  1.97714211  0.76696499 -0.41702883\n",
      "   1.25356634 -0.86135677]\n",
      " [ 0.49362588  0.92844966 -0.98251057 -0.50578054  0.76696499 -0.41702883\n",
      "  -0.79772404  1.16095912]\n",
      " [-0.66532184 -0.78854628 -0.47721942 -0.50578054  0.76696499  2.39791576\n",
      "  -0.79772404 -0.86135677]]\n",
      "(54, 8)\n",
      "['PAIDOFF' 'PAIDOFF' 'PAIDOFF' 'PAIDOFF' 'PAIDOFF']\n",
      "(54,)\n"
     ]
    }
   ],
   "source": [
    "print (X_loan_test[0:5])\n",
    "print (X_loan_test.shape)\n",
    "\n",
    "print (y_loan_test[0:5])\n",
    "print (y_loan_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/neighbors/base.py:442: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n",
      "  old_joblib = LooseVersion(joblib_version) < LooseVersion('0.12')\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/neighbors/base.py:442: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n",
      "  old_joblib = LooseVersion(joblib_version) < LooseVersion('0.12')\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/linear_model/base.py:283: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  indices = (scores > 0).astype(np.int)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[0.72, 0.74, 0.74, 0.78]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import jaccard_similarity_score\n",
    "\n",
    "knn_yhat = knn_model.predict(X_loan_test)\n",
    "jss1 = round(jaccard_similarity_score(y_loan_test, knn_yhat), 2)\n",
    "\n",
    "dtree_yhat = dtree_model.predict(X_loan_test)\n",
    "jss2 = round(jaccard_similarity_score(y_loan_test, dtree_yhat), 2)\n",
    "\n",
    "svc_yhat = svc_model.predict(X_loan_test)\n",
    "jss3 = round(jaccard_similarity_score(y_loan_test, svc_yhat), 2)\n",
    "\n",
    "lr_yhat = lr_model.predict(X_loan_test)\n",
    "jss4 = round(jaccard_similarity_score(y_loan_test, lr_yhat), 2)\n",
    "\n",
    "jss_list = [jss1, jss2, jss3, jss4]\n",
    "jss_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/neighbors/base.py:442: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n",
      "  old_joblib = LooseVersion(joblib_version) < LooseVersion('0.12')\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/neighbors/base.py:442: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n",
      "  old_joblib = LooseVersion(joblib_version) < LooseVersion('0.12')\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/metrics/classification.py:1143: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples.\n",
      "  'precision', 'predicted', average, warn_for)\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/metrics/classification.py:1143: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples.\n",
      "  'precision', 'predicted', average, warn_for)\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/linear_model/base.py:283: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  indices = (scores > 0).astype(np.int)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[0.72, 0.63, 0.63, 0.76]"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "knn_yhat = knn_model.predict(X_loan_test)\n",
    "f1 = round(f1_score(y_loan_test, knn_yhat, average = 'weighted'), 2)\n",
    "\n",
    "dtree_yhat = dtree_model.predict(X_loan_test)\n",
    "f2 = round(f1_score(y_loan_test, dtree_yhat, average = 'weighted'), 2)\n",
    "\n",
    "svc_yhat = svc_model.predict(X_loan_test)\n",
    "f3 = round(f1_score(y_loan_test, svc_yhat, average = 'weighted'), 2)\n",
    "\n",
    "lr_yhat = lr_model.predict(X_loan_test)\n",
    "f4 = round(f1_score(y_loan_test, lr_yhat, average = 'weighted'), 2)\n",
    "\n",
    "f1_list = [f1, f2, f3, f4]\n",
    "f1_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "lr_prob = lr_model.predict_proba(X_loan_test)\n",
    "ll_list = ['NA','NA','NA', round(log_loss(y_loan_test, lr_prob), 2)]\n",
    "ll_list\n",
    "columns = ['KNN', 'Decision Tree', 'SVM', 'Logistic Regression']\n",
    "index = ['Jaccard', 'F1-score', 'Logloss']\n",
    "accuracy_df = pd.DataFrame([jss_list, f1_list, ll_list], index = index, columns = columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Algorithm</th>\n",
       "      <th>Jaccard</th>\n",
       "      <th>F1-score</th>\n",
       "      <th>Logloss</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>KNN</th>\n",
       "      <td>0.72</td>\n",
       "      <td>0.72</td>\n",
       "      <td>NA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Decision Tree</th>\n",
       "      <td>0.74</td>\n",
       "      <td>0.63</td>\n",
       "      <td>NA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SVM</th>\n",
       "      <td>0.74</td>\n",
       "      <td>0.63</td>\n",
       "      <td>NA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Logistic Regression</th>\n",
       "      <td>0.78</td>\n",
       "      <td>0.76</td>\n",
       "      <td>0.67</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Algorithm           Jaccard F1-score Logloss\n",
       "KNN                    0.72     0.72      NA\n",
       "Decision Tree          0.74     0.63      NA\n",
       "SVM                    0.74     0.63      NA\n",
       "Logistic Regression    0.78     0.76    0.67"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy_df1 = accuracy_df.transpose()\n",
    "accuracy_df1.columns.name = 'Algorithm'\n",
    "accuracy_df1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Report\n",
    "\n",
    "You should be able to report the accuracy of the built model using different evaluation metrics:\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "| Algorithm          | Jaccard | F1-score | LogLoss |\n",
    "| ------------------ | ------- | -------- | ------- |\n",
    "| KNN                | ?       | ?        | NA      |\n",
    "| Decision Tree      | ?       | ?        | NA      |\n",
    "| SVM                | ?       | ?        | NA      |\n",
    "| LogisticRegression | ?       | ?        | ?       |\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "<h2>Want to learn more?</h2>\n",
    "\n",
    "IBM SPSS Modeler is a comprehensive analytics platform that has many machine learning algorithms. It has been designed to bring predictive intelligence to decisions made by individuals, by groups, by systems – by your enterprise as a whole. A free trial is available through this course, available here: <a href=\"http://cocl.us/ML0101EN-SPSSModeler?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDeveloperSkillsNetworkML0101ENSkillsNetwork20718538-2022-01-01\">SPSS Modeler</a>\n",
    "\n",
    "Also, you can use Watson Studio to run these notebooks faster with bigger datasets. Watson Studio is IBM's leading cloud solution for data scientists, built by data scientists. With Jupyter notebooks, RStudio, Apache Spark and popular libraries pre-packaged in the cloud, Watson Studio enables data scientists to collaborate on their projects without having to install anything. Join the fast-growing community of Watson Studio users today with a free account at <a href=\"https://cocl.us/ML0101EN_DSX?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDeveloperSkillsNetworkML0101ENSkillsNetwork20718538-2022-01-01\">Watson Studio</a>\n",
    "\n",
    "<h3>Thanks for completing this lesson!</h3>\n",
    "\n",
    "<h4>Author:  <a href=\"https://ca.linkedin.com/in/saeedaghabozorgi?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDeveloperSkillsNetworkML0101ENSkillsNetwork20718538-2022-01-01?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDeveloperSkillsNetworkML0101ENSkillsNetwork20718538-2022-01-01\">Saeed Aghabozorgi</a></h4>\n",
    "<p><a href=\"https://ca.linkedin.com/in/saeedaghabozorgi\">Saeed Aghabozorgi</a>, PhD is a Data Scientist in IBM with a track record of developing enterprise level applications that substantially increases clients’ ability to turn data into actionable knowledge. He is a researcher in data mining field and expert in developing advanced analytic methods like machine learning and statistical modelling on large datasets.</p>\n",
    "\n",
    "<hr>\n",
    "\n",
    "## Change Log\n",
    "\n",
    "| Date (YYYY-MM-DD) | Version | Changed By    | Change Description                                                             |\n",
    "| ----------------- | ------- | ------------- | ------------------------------------------------------------------------------ |\n",
    "| 2020-10-27        | 2.1     | Lakshmi Holla | Made changes in import statement due to updates in version of  sklearn library |\n",
    "| 2020-08-27        | 2.0     | Malika Singla | Added lab to GitLab                                                            |\n",
    "\n",
    "<hr>\n",
    "\n",
    "## <h3 align=\"center\"> © IBM Corporation 2020. All rights reserved. <h3/>\n",
    "\n",
    "<p>\n"
   ]
  }
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