{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4 10\n",
      "10 4\n"
     ]
    }
   ],
   "source": [
    "for a in range(1, 54):\n",
    "    for b in range(1, 54):\n",
    "        if a + a * b + b == 54:\n",
    "            print(a, b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "folder_to_process = '2007'\n",
    "\n",
    "\n",
    "paths = [os.getcwd() + os.sep + folder_to_process + os.sep + path for path in os.listdir(os.getcwd() + os.sep + folder_to_process) if path.endswith('.zst')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/mnt/i/NLP_Datasets/Reddit/2007/RC_2007-01.zst: 47009336 bytes                 \n",
      "/mnt/i/NLP_Datasets/Reddit/2007/RC_2007-02.zst: 54750951 bytes                 \n",
      "/mnt/i/NLP_Datasets/Reddit/2007/RC_2007-03.zst: 62820356 bytes                 \n",
      "/mnt/i/NLP_Datasets/Reddit/2007/RC_2007-04.zst: 69786867 bytes                 \n",
      "/mnt/i/NLP_Datasets/Reddit/2007/RC_2007-05.zst: 94461864 bytes                 \n",
      "/mnt/i/NLP_Datasets/Reddit/2007/RC_2007-06.zst: 98423333 bytes                 \n",
      "/mnt/i/NLP_Datasets/Reddit/2007/RC_2007-07.zst: 112766139 bytes                \n",
      "/mnt/i/NLP_Datasets/Reddit/2007/RC_2007-08.zst: 122574379 bytes                \n",
      "/mnt/i/NLP_Datasets/Reddit/2007/RC_2007-09.zst: 142766226 bytes                \n",
      "/mnt/i/NLP_Datasets/Reddit/2007/RC_2007-10.zst: 151656689 bytes                \n",
      "/mnt/i/NLP_Datasets/Reddit/2007/RC_2007-11.zst: 210899837 bytes                \n",
      "/mnt/i/NLP_Datasets/Reddit/2007/RC_2007-12.zst: 214817048 bytes                \n"
     ]
    }
   ],
   "source": [
    "for path in paths:\n",
    "    os.system(f'unzstd -f {path} --memory=2048MB')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "folder_to_process = '2008'\n",
    "\n",
    "\n",
    "paths = [os.getcwd() + os.sep + folder_to_process + os.sep + path for path in os.listdir(os.getcwd() + os.sep + folder_to_process) if path.endswith('.zst')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/mnt/i/NLP_Datasets/Reddit/2008/RC_2008-01.zst: 263972619 bytes                \n",
      "/mnt/i/NLP_Datasets/Reddit/2008/RC_2008-02.zst: 256564276 bytes                \n",
      "/mnt/i/NLP_Datasets/Reddit/2008/RC_2008-03.zst: 267934549 bytes                \n",
      "/mnt/i/NLP_Datasets/Reddit/2008/RC_2008-04.zst: 272655574 bytes                \n",
      "/mnt/i/NLP_Datasets/Reddit/2008/RC_2008-05.zst: 310404232 bytes                \n",
      "/mnt/i/NLP_Datasets/Reddit/2008/RC_2008-06.zst: 336060719 bytes                \n",
      "/mnt/i/NLP_Datasets/Reddit/2008/RC_2008-07.zst: 346089066 bytes                \n",
      "/mnt/i/NLP_Datasets/Reddit/2008/RC_2008-10.zst: 456690506 bytes                \n",
      "/mnt/i/NLP_Datasets/Reddit/2008/RC_2008-11.zst: 454923167 bytes                \n",
      "/mnt/i/NLP_Datasets/Reddit/2008/RC_2008-12.zst: 490644703 bytes                \n"
     ]
    }
   ],
   "source": [
    "for path in paths:\n",
    "    os.system(f'unzstd -f {path} --memory=2048MB')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "folder_to_process = '2009'\n",
    "\n",
    "\n",
    "paths = [os.getcwd() + os.sep + folder_to_process + os.sep + path for path in os.listdir(os.getcwd() + os.sep + folder_to_process) if path.endswith('.zst')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/mnt/i/NLP_Datasets/Reddit/2009/RC_2008-08.zst: 346626502 bytes                \n",
      "/mnt/i/NLP_Datasets/Reddit/2009/RC_2008-09.zst: 396060313 bytes                \n",
      "/mnt/i/NLP_Datasets/Reddit/2009/RC_2009-01.zst: 608871484 bytes                \n",
      "/mnt/i/NLP_Datasets/Reddit/2009/RC_2009-02.zst: 549556409 bytes                \n",
      "/mnt/i/NLP_Datasets/Reddit/2009/RC_2009-03.zst: 615767139 bytes                \n",
      "/mnt/i/NLP_Datasets/Reddit/2009/RC_2009-04.zst: 641521564 bytes                \n",
      "/mnt/i/NLP_Datasets/Reddit/2009/RC_2009-05.zst: 712627459 bytes                \n",
      "/mnt/i/NLP_Datasets/Reddit/2009/RC_2009-06.zst: 749303499 bytes                \n",
      "/mnt/i/NLP_Datasets/Reddit/2009/RC_2009-07.zst: 873978527 bytes                \n",
      "/mnt/i/NLP_Datasets/Reddit/2009/RC_2009-08.zst: 1038515234 bytes               \n",
      "/mnt/i/NLP_Datasets/Reddit/2009/RC_2009-09.zst: 1192147453 bytes               \n",
      "/mnt/i/NLP_Datasets/Reddit/2009/RC_2009-10.zst: 1332958320 bytes               \n",
      "/mnt/i/NLP_Datasets/Reddit/2009/RC_2009-11.zst: 1307127106 bytes               \n",
      "/mnt/i/NLP_Datasets/Reddit/2009/RC_2009-12.zst: 1505204158 bytes               \n"
     ]
    }
   ],
   "source": [
    "for path in paths:\n",
    "    os.system(f'unzstd -f {path} --memory=2048MB')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "folder_to_process = '2010'\n",
    "\n",
    "\n",
    "paths = [os.getcwd() + os.sep + folder_to_process + os.sep + path for path in os.listdir(os.getcwd() + os.sep + folder_to_process) if path.endswith('.zst')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/mnt/i/NLP_Datasets/Reddit/2010/RC_2010-01.zst: 1695673319 bytes               \n",
      "/mnt/i/NLP_Datasets/Reddit/2010/RC_2010-02.zst: 1591797299 bytes               \n",
      "/mnt/i/NLP_Datasets/Reddit/2010/RC_2010-03.zst: 1899665475 bytes               \n",
      "/mnt/i/NLP_Datasets/Reddit/2010/RC_2010-04.zst: 1875866199 bytes               \n",
      "/mnt/i/NLP_Datasets/Reddit/2010/RC_2010-05.zst: 1904296459 bytes               \n",
      "/mnt/i/NLP_Datasets/Reddit/2010/RC_2010-06.zst: 2055584210 bytes               \n",
      "/mnt/i/NLP_Datasets/Reddit/2010/RC_2010-07.zst: 2358254228 bytes               \n",
      "/mnt/i/NLP_Datasets/Reddit/2010/RC_2010-08.zst: 2481119668 bytes               \n",
      "/mnt/i/NLP_Datasets/Reddit/2010/RC_2010-09.zst: 2737071492 bytes               \n",
      "/mnt/i/NLP_Datasets/Reddit/2010/RC_2010-10.zst: 2943831426 bytes               \n",
      "/mnt/i/NLP_Datasets/Reddit/2010/RC_2010-11.zst: 3320232097 bytes               \n",
      "/mnt/i/NLP_Datasets/Reddit/2010/RC_2010-12.zst: 3487464031 bytes               \n"
     ]
    }
   ],
   "source": [
    "for path in paths:\n",
    "    os.system(f'unzstd -f {path} --memory=2048MB')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "folder_to_process = '2011'\n",
    "\n",
    "\n",
    "paths = [os.getcwd() + os.sep + folder_to_process + os.sep + path for path in os.listdir(os.getcwd() + os.sep + folder_to_process) if path.endswith('.zst')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/mnt/i/NLP_Datasets/Reddit/2011/RC_2011-01.zst: 3860744761 bytes               \n",
      "/mnt/i/NLP_Datasets/Reddit/2011/RC_2011-02.zst: 3724523696 bytes               \n",
      "/mnt/i/NLP_Datasets/Reddit/2011/RC_2011-03.zst: 4421426090 bytes               \n",
      "/mnt/i/NLP_Datasets/Reddit/2011/RC_2011-04.zst: 4374806147 bytes               \n",
      "/mnt/i/NLP_Datasets/Reddit/2011/RC_2011-05.zst: 5074030848 bytes               \n",
      "/mnt/i/NLP_Datasets/Reddit/2011/RC_2011-06.zst: 5624078921 bytes               \n",
      "/mnt/i/NLP_Datasets/Reddit/2011/RC_2011-07.zst: 6043941589 bytes               \n",
      "/mnt/i/NLP_Datasets/Reddit/2011/RC_2011-08.zst: 7025139374 bytes               \n",
      "/mnt/i/NLP_Datasets/Reddit/2011/RC_2011-09.zst: 6942023341 bytes               \n",
      "/mnt/i/NLP_Datasets/Reddit/2011/RC_2011-10.zst: 7730112702 bytes               \n",
      "/mnt/i/NLP_Datasets/Reddit/2011/RC_2011-11.zst: 7817968596 bytes               \n",
      "/mnt/i/NLP_Datasets/Reddit/2011/RC_2011-12.zst: 8311199150 bytes               \n"
     ]
    }
   ],
   "source": [
    "for path in paths:\n",
    "    os.system(f'unzstd -f {path} --memory=2048MB')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "i:\\NLP_Datasets\\Reddit\\2012\\RC_2011-12.zst\n",
      "i:\\NLP_Datasets\\Reddit\\2012\\RC_2012-01.zst\n",
      "i:\\NLP_Datasets\\Reddit\\2012\\RC_2012-02.zst\n",
      "i:\\NLP_Datasets\\Reddit\\2012\\RC_2012-03.zst\n",
      "i:\\NLP_Datasets\\Reddit\\2012\\RC_2012-04.zst\n",
      "i:\\NLP_Datasets\\Reddit\\2012\\RC_2012-05.zst\n",
      "i:\\NLP_Datasets\\Reddit\\2012\\RC_2012-06.zst\n",
      "i:\\NLP_Datasets\\Reddit\\2012\\RC_2012-07.zst\n",
      "i:\\NLP_Datasets\\Reddit\\2012\\RC_2012-08.zst\n",
      "i:\\NLP_Datasets\\Reddit\\2012\\RC_2012-09.zst\n",
      "i:\\NLP_Datasets\\Reddit\\2012\\RC_2012-10.zst\n",
      "i:\\NLP_Datasets\\Reddit\\2012\\RC_2012-11.zst\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "folder_to_process = '2012'\n",
    "\n",
    "\n",
    "paths = [os.getcwd() + os.sep + folder_to_process + os.sep + path for path in os.listdir(os.getcwd() + os.sep + folder_to_process) if path.endswith('.zst')]\n",
    "\n",
    "for path in paths:\n",
    "    print(path)\n",
    "    os.system(f'unzstd -f {path} --memory=2048MB')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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