Datasets:
File size: 11,153 Bytes
4ea1ca5 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 |
{
"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": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3.9.15 ('redditEnv')",
"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": "3.9.15"
},
"orig_nbformat": 4,
"vscode": {
"interpreter": {
"hash": "ef741df2a7755d2d639440173889a3c1405e2c4dc3663c5e25a76822c200d193"
}
}
},
"nbformat": 4,
"nbformat_minor": 2
}
|