Spaces:
Running
Running
File size: 26,380 Bytes
c987dd2 | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 | {
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Phase 3: Extract Python Test Cases from HuggingFace Dataset\n",
"\n",
"This notebook loads the `newfacade/LeetCodeDataset` from HuggingFace, extracts Python test cases,\n",
"fixes indentation (adds 4 spaces before each `assert` line), and saves to `python_tests.jsonl`."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"✅ Dependencies installed\n"
]
}
],
"source": [
"# Install required packages\n",
"import subprocess\n",
"import sys\n",
"\n",
"# Install datasets if not already installed\n",
"subprocess.check_call([sys.executable, \"-m\", \"pip\", \"install\", \"datasets\", \"-q\"])\n",
"print(\"✅ Dependencies installed\")"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Loading HuggingFace dataset: newfacade/LeetCodeDataset...\n",
"✅ Dataset loaded: DatasetDict({\n",
" train: Dataset({\n",
" features: ['task_id', 'question_id', 'difficulty', 'tags', 'problem_description', 'starter_code', 'estimated_date', 'prompt', 'completion', 'entry_point', 'test', 'input_output', 'query', 'response'],\n",
" num_rows: 2641\n",
" })\n",
" test: Dataset({\n",
" features: ['task_id', 'question_id', 'difficulty', 'tags', 'problem_description', 'starter_code', 'estimated_date', 'prompt', 'completion', 'entry_point', 'test', 'input_output', 'query', 'response'],\n",
" num_rows: 228\n",
" })\n",
"})\n",
"\n",
"Dataset keys: dict_keys(['train', 'test'])\n"
]
}
],
"source": [
"import json\n",
"from datasets import load_dataset\n",
"from pathlib import Path\n",
"\n",
"print(\"Loading HuggingFace dataset: newfacade/LeetCodeDataset...\")\n",
"dataset = load_dataset(\"newfacade/LeetCodeDataset\")\n",
"print(f\"✅ Dataset loaded: {dataset}\")\n",
"print(f\"\\nDataset keys: {dataset.keys()}\")"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"First sample keys: dict_keys(['task_id', 'question_id', 'difficulty', 'tags', 'problem_description', 'starter_code', 'estimated_date', 'prompt', 'completion', 'entry_point', 'test', 'input_output', 'query', 'response'])\n",
"\n",
"First sample:\n",
" task_id: two-sum\n",
" question_id: 1\n",
" difficulty: Easy\n",
" tags: ['Array', 'Hash Table']\n",
" problem_description: Given an array of integers nums and an integer target, return indices of the two numbers such that t...\n",
" starter_code: class Solution:\n",
" def twoSum(self, nums: List[int], target: int) -> List[int]:\n",
" \n",
" estimated_date: 2015-08-07 00:00:00\n",
" prompt: import random\n",
"import functools\n",
"import collections\n",
"import string\n",
"import math\n",
"import datetime\n",
"\n",
"from ty...\n",
" completion: class Solution:\n",
" def twoSum(self, nums: List[int], target: int) -> List[int]:\n",
" d = {}\n",
" ...\n",
" entry_point: Solution().twoSum\n",
" test: def check(candidate):\n",
" assert candidate(nums = [3, 3],target = 6) == [0, 1]\n",
" assert candidate(...\n",
" input_output: [{'input': 'nums = [3,3], target = 6', 'output': '[0, 1]'}, {'input': 'nums = [-1,-2,-3,-4], target = -8', 'output': 'None'}, {'input': 'nums = [1000000000, 1000000000], target = 2000000000', 'output': '[0, 1]'}, {'input': 'nums = [1,5,7,9], target = 10', 'output': '[0, 3]'}, {'input': 'nums = [1,2,3,4,5,6,7,8,9,10], target = 3', 'output': '[0, 1]'}, {'input': 'nums = [0,4,3,0], target = 0', 'output': '[0, 3]'}, {'input': 'nums = [1000000000, -1000000000, 500000000, -500000000], target = 0', 'output': '[0, 1]'}, {'input': 'nums = [1,2,3,4,5,6,7,8,9,10], target = 17', 'output': '[7, 8]'}, {'input': 'nums = [1,5,7,8], target = 15', 'output': '[2, 3]'}, {'input': 'nums = [1000000000, -1000000000], target = 0', 'output': '[0, 1]'}, {'input': 'nums = [2,7,11,15], target = 9', 'output': '[0, 1]'}, {'input': 'nums = [1,2,3,4,5,6,7,8,9,10], target = 19', 'output': '[8, 9]'}, {'input': 'nums = [1,5,7,11], target = 16', 'output': '[1, 3]'}, {'input': 'nums = [5,5,5,5,5,5,5,5,5,5], target = 10', 'output': '[0, 1]'}, {'input': 'nums = [3,2,4], target = 6', 'output': '[1, 2]'}, {'input': 'nums = [15,11,7,2], target = 9', 'output': '[2, 3]'}, {'input': 'nums = [1000000000,-1000000000,2000000000,-2000000000], target = 0', 'output': '[0, 1]'}, {'input': 'nums = [100, 200, 300, 400, 500, 600, 700, 800, 900, 1000, 1100, 1200, 1300, 1400, 1500, 1600, 1700, 1800, 1900, 2000, 2100, 2200, 2300, 2400, 2500, 2600, 2700, 2800, 2900, 3000], target = 4000', 'output': '[18, 20]'}, {'input': 'nums = [1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, 23, 25, 27, 29, 31, 33, 35, 37, 39, 41, 43, 45, 47, 49, 51, 53, 55, 57, 59, 61, 63, 65, 67, 69, 71, 73, 75, 77, 79, 81, 83, 85, 87, 89, 91, 93, 95, 97, 99], target = 100', 'output': '[24, 25]'}, {'input': 'nums = [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], target = 199', 'output': '[98, 99]'}, {'input': 'nums = [-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5], target = 0', 'output': '[4, 6]'}, {'input': 'nums = [-10, -20, -30, -40, -50, -60, -70, -80, -90, -100], target = -150', 'output': '[6, 7]'}, {'input': 'nums = [-1, -2, -3, -4, -5, -6, -7, -8, -9, -10, -11, -12, -13, -14, -15, -16, -17, -18, -19, -20], target = -39', 'output': '[18, 19]'}, {'input': 'nums = [1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, 23, 25, 27, 29, 31, 33, 35, 37, 39, 41, 43, 45, 47, 49, 51, 53, 55, 57, 59, 61, 63, 65, 67, 69, 71, 73, 75, 77, 79, 81, 83, 85, 87, 89, 91, 93, 95, 97, 99, 101, 103, 105, 107, 109, 111, 113, 115, 117, 119], target = 110', 'output': '[26, 28]'}, {'input': 'nums = [100, 200, 300, 400, 500, 600, 700, 800, 900, 1000, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10], target = 1100', 'output': '[4, 5]'}, {'input': 'nums = [1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, 23, 25, 27, 29, 31, 33, 35, 37, 39], target = 70', 'output': '[16, 18]'}, {'input': 'nums = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2], target = 3', 'output': '[18, 19]'}, {'input': 'nums = [100, 200, 300, 400, 500, 600, 700, 800, 900, 1000, 1100, 1200, 1300, 1400, 1500, 1600, 1700, 1800, 1900, 2000, 2100, 2200, 2300, 2400, 2500], target = 3000', 'output': '[13, 15]'}, {'input': 'nums = [1000, 2000, 3000, 4000, 5000, 6000, 7000, 8000, 9000, 10000, 11000, 12000, 13000, 14000, 15000, 16000, 17000, 18000, 19000, 20000], target = 30000', 'output': '[13, 15]'}, {'input': 'nums = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20], target = 39', 'output': '[18, 19]'}, {'input': 'nums = [0, 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], target = 99', 'output': '[49, 50]'}, {'input': 'nums = [10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120, 130, 140, 150, 160, 170, 180, 190, 200, 210, 220, 230, 240, 250, 260, 270, 280, 290, 300, 310, 320, 330, 340, 350, 360, 370, 380, 390, 400, 410, 420, 430, 440, 450, 460, 470, 480, 490, 500], target = 900', 'output': '[43, 45]'}, {'input': 'nums = [-1000000000, -2000000000, -3000000000, -4000000000, -5000000000, -6000000000, -7000000000, -8000000000, -9000000000, -10000000000], target = -15000000000', 'output': '[6, 7]'}, {'input': 'nums = [23, 8, 15, 37, 48, 5, 21, 7, 40, 6], target = 33', 'output': 'None'}, {'input': 'nums = [10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120, 130, 140, 150, 160, 170, 180, 190, 200], target = 390', 'output': '[18, 19]'}, {'input': 'nums = [100, 200, 300, 400, 500, 600, 700, 800, 900, 1000], target = 1500', 'output': '[6, 7]'}, {'input': 'nums = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20], target = 21', 'output': '[9, 10]'}, {'input': 'nums = [2, 5, 1, 9, 3, 8, 7, 6, 4, 0], target = 17', 'output': '[3, 5]'}, {'input': 'nums = [1000000000, -1000000000, 500000000, 500000000], target = 0', 'output': '[0, 1]'}, {'input': 'nums = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], target = 29', 'output': '[13, 14]'}, {'input': 'nums = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20], target = 38', 'output': '[17, 19]'}, {'input': 'nums = [1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, 23, 25, 27, 29, 31, 33, 35, 37, 39], target = 78', 'output': 'None'}, {'input': 'nums = [-1000000000, 1000000000, 500000000, -500000000], target = 0', 'output': '[0, 1]'}, {'input': 'nums = [1000000000, 999999999, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10], target = 1999999999', 'output': '[0, 1]'}, {'input': 'nums = [10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120, 130, 140, 150, 160, 170, 180, 190, 200], target = 300', 'output': '[13, 15]'}, {'input': 'nums = [1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, 23, 25, 27, 29, 31, 33, 35, 37, 39, 41, 43, 45, 47, 49, 51, 53, 55, 57, 59], target = 100', 'output': '[24, 25]'}, {'input': 'nums = [5, 12, 7, 3, 9, 14, 10, 23, 1, 11], target = 22', 'output': '[1, 6]'}, {'input': 'nums = [-3, 4, 3, 90, -11, 23, -5, 67, 100, -45, 89], target = 53', 'output': 'None'}, {'input': 'nums = [-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], target = -199', 'output': '[98, 99]'}, {'input': 'nums = [0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1], target = 1', 'output': '[0, 1]'}, {'input': 'nums = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2], target = 3', 'output': '[23, 24]'}, {'input': 'nums = [10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120, 130, 140, 150, 160, 170, 180, 190, 200, 210, 220, 230, 240, 250, 260, 270, 280, 290, 300, 310, 320, 330, 340, 350, 360, 370, 380, 390, 400, 410, 420, 430, 440, 450, 460, 470, 480, 490, 500, 510, 520, 530, 540, 550, 560, 570, 580, 590, 600, 610, 620, 630, 640, 650, 660, 670, 680, 690, 700, 710, 720, 730, 740, 750, 760, 770, 780, 790, 800, 810, 820, 830, 840, 850, 860, 870, 880, 890, 900, 910, 920, 930, 940, 950, 960, 970, 980, 990, 1000], target = 1990', 'output': '[98, 99]'}, {'input': 'nums = [0, 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], target = 59', 'output': '[29, 30]'}, {'input': 'nums = [123456789, 987654321, 456789123, 321987654, 654321987, 789123456], target = 1111111110', 'output': '[0, 1]'}, {'input': 'nums = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], target = 0', 'output': '[0, 1]'}, {'input': 'nums = [-1, -2, -3, -4, -5, -6, -7, -8, -9, -10], target = -11', 'output': '[4, 5]'}, {'input': 'nums = [999999999, 999999998, 999999997, 999999996, 999999995, 999999994, 999999993, 999999992], target = 1999999997', 'output': '[0, 1]'}, {'input': 'nums = [-1,-2,-3,-4,-5,-6,-7,-8,-9,-10], target = -15', 'output': '[6, 7]'}, {'input': 'nums = [1000000000, -1000000000, 500000000, 500000000, -500000000, -500000000, 1, 2, 3, 4], target = 0', 'output': '[0, 1]'}, {'input': 'nums = [1000000000, 1000000000, 1000000000, 1000000000, 1000000000, 1000000000, 1000000000, 1000000000, 1000000000, 1000000000], target = 2000000000', 'output': '[0, 1]'}, {'input': 'nums = [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], target = 299', 'output': '[148, 149]'}, {'input': 'nums = [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], target = 59', 'output': '[28, 29]'}, {'input': 'nums = [-1, -2, -3, -4, -5, -6, -7, -8, -9, -10, -11, -12, -13, -14, -15, -16, -17, -18, -19, -20], target = -31', 'output': '[14, 15]'}, {'input': 'nums = [1000, 2000, 3000, 4000, 5000, 6000, 7000, 8000, 9000, 10000, 11000, 12000, 13000, 14000, 15000, 16000, 17000, 18000, 19000, 20000, 21000, 22000, 23000, 24000, 25000, 26000, 27000, 28000, 29000, 30000], target = 60000', 'output': 'None'}, {'input': 'nums = [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20], target = 39', 'output': '[18, 19]'}, {'input': 'nums = [1000000000, -500000000, 2000000000, -1000000000, 0, 500000000], target = 1000000000', 'output': '[2, 3]'}, {'input': 'nums = [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], target = 99', 'output': '[48, 49]'}, {'input': 'nums = [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], target = 49', 'output': '[23, 24]'}, {'input': 'nums = [999999999, 999999998, 999999997, 999999996, 999999995, 999999994, 999999993, 999999992, 999999991, 999999990], target = 1999999989', 'output': '[4, 5]'}, {'input': 'nums = [1,2,4,8,16,32,64,128,256,512], target = 513', 'output': '[0, 9]'}, {'input': 'nums = [-1, -2, -3, -4, -5, -6, -7, -8, -9, -10], target = -18', 'output': '[7, 9]'}, {'input': 'nums = [100, 200, 300, 400, 500, 600, 700, 800, 900, 1000, 1100, 1200, 1300, 1400, 1500], target = 1300', 'output': '[5, 6]'}, {'input': 'nums = [-1, -2, -3, -4, -5, -6, -7, -8, -9, -10], target = -17', 'output': '[7, 8]'}, {'input': 'nums = [100, 200, 300, 400, 500, 600, 700, 800, 900, 1000], target = 1900', 'output': '[8, 9]'}, {'input': 'nums = [0,0,0,0,0,0,0,0,0,0], target = 0', 'output': '[0, 1]'}, {'input': 'nums = [1,3,5,7,9,11,13,15,17,19,21,23,25,27,29,31,33,35,37,39], target = 79', 'output': 'None'}, {'input': 'nums = [1000000000, 2000000000, 3000000000, 4000000000, 5000000000, 6000000000, 7000000000, 8000000000, 9000000000, 10000000000], target = 30000000000', 'output': 'None'}, {'input': 'nums = [-3, -1, 0, 2, 5, 7, 8, 10], target = 4', 'output': '[1, 4]'}, {'input': 'nums = [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], target = 100', 'output': 'None'}, {'input': 'nums = [29, 37, 10, 55, 44, 3, 67, 90, 11, 38, 2, 9, 100, 34, 65, 23, 89, 12, 33, 22], target = 62', 'output': '[0, 18]'}]\n",
" query: You are an expert Python programmer. You will be given a question (problem specification) and will g...\n",
" response: To solve this problem efficiently, we can use a hash map (dictionary in Python) to store the numbers...\n"
]
}
],
"source": [
"# Inspect first few samples to understand structure\n",
"if \"train\" in dataset:\n",
" sample_split = dataset[\"train\"]\n",
"else:\n",
" sample_split = list(dataset.values())[0]\n",
"\n",
"print(f\"First sample keys: {sample_split[0].keys()}\")\n",
"print(f\"\\nFirst sample:\")\n",
"for key, value in sample_split[0].items():\n",
" if isinstance(value, str) and len(value) > 100:\n",
" print(f\" {key}: {value[:100]}...\")\n",
" else:\n",
" print(f\" {key}: {value}\")"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Before:\n",
"'def check(candidate):\\nassert candidate(nums = [3, 3],target = 6) == [0, 1]\\nassert candidate(nums = [-1, -2, -3, -4],target = -8) == None'\n",
"\n",
"After:\n",
"'def check(candidate):\\n assert candidate(nums = [3, 3],target = 6) == [0, 1]\\n assert candidate(nums = [-1, -2, -3, -4],target = -8) == None'\n",
"\n",
"Formatted:\n",
"def check(candidate):\n",
" assert candidate(nums = [3, 3],target = 6) == [0, 1]\n",
" assert candidate(nums = [-1, -2, -3, -4],target = -8) == None\n"
]
}
],
"source": [
"def fix_test_indentation(test_code: str) -> str:\n",
" \"\"\"\n",
" Fix indentation in test code.\n",
" Expected format:\n",
" def check(candidate):\n",
" assert candidate(...) == ...\n",
" assert candidate(...) == ...\n",
" \n",
" Output format:\n",
" def check(candidate):\n",
" assert candidate(...) == ...\n",
" assert candidate(...) == ...\n",
" \"\"\"\n",
" lines = test_code.strip().split(\"\\n\")\n",
" fixed_lines = []\n",
" \n",
" for line in lines:\n",
" # First line should be 'def check(candidate):' - no indent\n",
" if line.strip().startswith(\"def check\"):\n",
" fixed_lines.append(line.strip())\n",
" # All other lines should have 4 spaces of indentation\n",
" elif line.strip():\n",
" # Remove existing indentation\n",
" stripped = line.lstrip()\n",
" # Add 4 spaces\n",
" fixed_lines.append(\" \" + stripped)\n",
" \n",
" return \"\\n\".join(fixed_lines)\n",
"\n",
"# Test the function\n",
"test_input = \"\"\"def check(candidate):\n",
"assert candidate(nums = [3, 3],target = 6) == [0, 1]\n",
"assert candidate(nums = [-1, -2, -3, -4],target = -8) == None\"\"\"\n",
"\n",
"print(\"Before:\")\n",
"print(repr(test_input))\n",
"print(\"\\nAfter:\")\n",
"print(repr(fix_test_indentation(test_input)))\n",
"print(\"\\nFormatted:\")\n",
"print(fix_test_indentation(test_input))"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Processing 2641 samples...\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" Processed 500/2641 samples... (extracted: 500, skipped: 0)\n",
" Processed 1000/2641 samples... (extracted: 1000, skipped: 0)\n",
" Processed 1500/2641 samples... (extracted: 1500, skipped: 0)\n",
" Processed 2000/2641 samples... (extracted: 2000, skipped: 0)\n",
" Processed 2500/2641 samples... (extracted: 2500, skipped: 0)\n",
"\n",
"✅ Extraction complete!\n",
" Extracted: 2641 test cases\n",
" Skipped: 0\n",
" Errors: 0\n",
" Output: /teamspace/studios/this_studio/dataset/complexity_reasoning_data/python_tests.jsonl\n"
]
}
],
"source": [
"# Extract test cases and save to JSONL\n",
"output_path = Path(\"/teamspace/studios/this_studio/dataset/complexity_reasoning_data/python_tests.jsonl\")\n",
"output_path.parent.mkdir(parents=True, exist_ok=True)\n",
"\n",
"# Determine which split to use\n",
"if \"train\" in dataset:\n",
" data_split = dataset[\"train\"]\n",
"else:\n",
" data_split = list(dataset.values())[0]\n",
"\n",
"print(f\"Processing {len(data_split)} samples...\")\n",
"\n",
"extracted_count = 0\n",
"skipped_count = 0\n",
"error_count = 0\n",
"\n",
"MAX_ASSERT_LINES = 30 # Keep only first 30 assert lines\n",
"\n",
"with open(output_path, \"w\") as f:\n",
" for i, sample in enumerate(data_split):\n",
" try:\n",
" # Try to find problem_id and test field\n",
" problem_id = sample.get(\"question_id\") or sample.get(\"problem_id\") or sample.get(\"id\")\n",
" test_code = sample.get(\"test\") or sample.get(\"test_code\") or sample.get(\"tests\")\n",
" \n",
" if problem_id and test_code:\n",
" # Check if test contains 'def check' format\n",
" if \"def check\" in str(test_code):\n",
" # Fix indentation\n",
" fixed_test = fix_test_indentation(test_code)\n",
" \n",
" # Limit to first 30 assert lines\n",
" lines = fixed_test.split(\"\\n\")\n",
" def_check_line = lines[0] # \"def check(candidate):\"\n",
" assert_lines = [l for l in lines[1:] if l.strip().startswith(\"assert\")]\n",
" limited_assert_lines = assert_lines[:MAX_ASSERT_LINES]\n",
" final_test = \"\\n\".join([def_check_line] + limited_assert_lines)\n",
" \n",
" # Write to JSONL\n",
" json.dump({\"problem_id\": problem_id, \"test\": final_test}, f)\n",
" f.write(\"\\n\")\n",
" extracted_count += 1\n",
" else:\n",
" skipped_count += 1\n",
" else:\n",
" skipped_count += 1\n",
" except Exception as e:\n",
" error_count += 1\n",
" if error_count <= 5: # Print first 5 errors\n",
" print(f\"Error at index {i}: {e}\")\n",
" \n",
" if (i + 1) % 500 == 0:\n",
" print(f\" Processed {i + 1}/{len(data_split)} samples... (extracted: {extracted_count}, skipped: {skipped_count})\")\n",
"\n",
"print(f\"\\n✅ Extraction complete!\")\n",
"print(f\" Extracted: {extracted_count} test cases\")\n",
"print(f\" Skipped: {skipped_count}\")\n",
"print(f\" Errors: {error_count}\")\n",
"print(f\" Output: {output_path}\")"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Output file: /teamspace/studios/this_studio/dataset/complexity_reasoning_data/python_tests.jsonl\n",
" File size: 10,779,921 bytes\n",
" Line count: 2641\n",
"\n",
"First 3 samples:\n",
"\n",
" Sample 1:\n",
" problem_id: 1\n",
" test: (first 3 lines)\n",
" 'def check(candidate):'\n",
" ' assert candidate(nums = [3, 3],target = 6) == [0, 1]'\n",
" ' assert candidate(nums = [-1, -2, -3, -4],target = -8) == None'\n",
" ... (28 more lines)\n",
"\n",
" Sample 2:\n",
" problem_id: 2\n",
" test: (first 3 lines)\n",
" 'def check(candidate):'\n",
" ' assert is_same_list(candidate(l1 = list_node([9, 8, 7]),l2 = list_node([1, 2, 3])), list_node([0, 1, 1, 1]))'\n",
" ' assert is_same_list(candidate(l1 = list_node([1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]),l2 = list_node([5, 6, 4])), list_node([6, 6, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]))'\n",
" ... (28 more lines)\n",
"\n",
" Sample 3:\n",
" problem_id: 3\n",
" test: (first 3 lines)\n",
" 'def check(candidate):'\n",
" ' assert candidate(s = \"abcabcbb\") == 3'\n",
" ' assert candidate(s = \"bbbbb\") == 1'\n",
" ... (28 more lines)\n"
]
}
],
"source": [
"# Verify output and show samples\n",
"import os\n",
"\n",
"file_size = os.path.getsize(output_path)\n",
"line_count = sum(1 for _ in open(output_path))\n",
"\n",
"print(f\"Output file: {output_path}\")\n",
"print(f\" File size: {file_size:,} bytes\")\n",
"print(f\" Line count: {line_count}\")\n",
"print(f\"\\nFirst 3 samples:\")\n",
"\n",
"with open(output_path) as f:\n",
" for i, line in enumerate(f):\n",
" if i >= 3:\n",
" break\n",
" sample = json.loads(line)\n",
" print(f\"\\n Sample {i+1}:\")\n",
" print(f\" problem_id: {sample['problem_id']}\")\n",
" test_lines = sample['test'].split(\"\\n\")\n",
" print(f\" test: (first 3 lines)\")\n",
" for j, tline in enumerate(test_lines[:3]):\n",
" print(f\" {repr(tline)}\")\n",
" if len(test_lines) > 3:\n",
" print(f\" ... ({len(test_lines) - 3} more lines)\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"name": "python",
"version": "3.10.0"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
|