test_environment.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[42m[ OK ]\u001b[0m Python version is 3.10.4\n",
      "\n",
      "\u001b[42m[ OK ]\u001b[0m numpy version 1.21.5 is installed.\n",
      "\u001b[42m[ OK ]\u001b[0m matplotlib version 3.5.1 is installed.\n",
      "\u001b[42m[ OK ]\u001b[0m sklearn version 1.0.2 is installed.\n",
      "\u001b[42m[ OK ]\u001b[0m pandas version 1.4.2 is installed.\n",
      "\u001b[42m[ OK ]\u001b[0m xgboost version 1.5.1 is installed.\n",
      "\u001b[42m[ OK ]\u001b[0m shap version 0.40.0 is installed.\n"
     ]
    }
   ],
   "source": [
    "from __future__ import print_function\n",
    "from packaging.version import parse as Version\n",
    "from platform import python_version\n",
    "\n",
    "OK = '\\x1b[42m[ OK ]\\x1b[0m'\n",
    "FAIL = \"\\x1b[41m[FAIL]\\x1b[0m\"\n",
    "\n",
    "try:\n",
    "    import importlib\n",
    "except ImportError:\n",
    "    print(FAIL, \"Python version 3.10 is required,\"\n",
    "                \" but %s is installed.\" % sys.version)\n",
    "\n",
    "def import_version(pkg, min_ver, fail_msg=\"\"):\n",
    "    mod = None\n",
    "    try:\n",
    "        mod = importlib.import_module(pkg)\n",
    "        if pkg in {'PIL'}:\n",
    "            ver = mod.VERSION\n",
    "        else:\n",
    "            ver = mod.__version__\n",
    "        if Version(ver) == Version(min_ver):\n",
    "            print(OK, \"%s version %s is installed.\"\n",
    "                  % (lib, min_ver))\n",
    "        else:\n",
    "            print(FAIL, \"%s version %s is required, but %s installed.\"\n",
    "                  % (lib, min_ver, ver))    \n",
    "    except ImportError:\n",
    "        print(FAIL, '%s not installed. %s' % (pkg, fail_msg))\n",
    "    return mod\n",
    "\n",
    "\n",
    "# first check the python version\n",
    "pyversion = Version(python_version())\n",
    "\n",
    "if pyversion >= Version(\"3.10\"):\n",
    "    print(OK, \"Python version is %s\" % pyversion)\n",
    "elif pyversion < Version(\"3.10\"):\n",
    "    print(FAIL, \"Python version 3.10 is required,\"\n",
    "                \" but %s is installed.\" % pyversion)\n",
    "else:\n",
    "    print(FAIL, \"Unknown Python version: %s\" % pyversion)\n",
    "\n",
    "    \n",
    "print()\n",
    "requirements = {'numpy': \"1.21.5\", 'matplotlib': \"3.5.1\",'sklearn': \"1.0.2\", \n",
    "                'pandas': \"1.4.2\",'xgboost': \"1.5.1\", 'shap': \"0.40.0\"}\n",
    "\n",
    "# now the dependencies\n",
    "for lib, required_version in list(requirements.items()):\n",
    "    import_version(lib, required_version)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}