From cdddb8736a5ea39c119fee0b932ace9d05864b9d Mon Sep 17 00:00:00 2001 From: f82c1c4a1227cdba8ff3317d228324d6 Date: Tue, 30 Jan 2024 21:36:13 +0000 Subject: [PATCH] 13 --- module3/exo3/exercice.ipynb | 317 ++++++------------------------------ 1 file changed, 46 insertions(+), 271 deletions(-) diff --git a/module3/exo3/exercice.ipynb b/module3/exo3/exercice.ipynb index 48efad7..b43a31e 100644 --- a/module3/exo3/exercice.ipynb +++ b/module3/exo3/exercice.ipynb @@ -492,12 +492,12 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 12, "metadata": {}, "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -511,7 +511,7 @@ "source": [ "# Visualizar el conjunto de datos\n", "plt.figure(figsize=(15, 6))\n", - "plt.plot(raw_data[-200:], label='CO2 Concentration')\n", + "plt.plot(raw_data[-300:], label='CO2 Concentration')\n", "plt.title('CO2 Concentration Over Time')\n", "plt.xlabel('Year')\n", "plt.ylabel('CO2 Concentration (ppm)')\n", @@ -522,274 +522,23 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 13, "metadata": {}, "outputs": [ { - "name": "stderr", + "name": "stdout", "output_type": "stream", "text": [ - "b'Skipping line 33: expected 1 fields, saw 4\\nSkipping line 45: expected 1 fields, saw 2\\nSkipping line 46: expected 1 fields, saw 2\\nSkipping line 47: expected 1 fields, saw 2\\nSkipping line 48: expected 1 fields, saw 2\\nSkipping line 49: expected 1 fields, saw 2\\nSkipping line 50: expected 1 fields, saw 2\\nSkipping line 51: expected 1 fields, saw 2\\nSkipping line 52: expected 1 fields, saw 2\\nSkipping line 53: expected 1 fields, saw 2\\nSkipping line 54: expected 1 fields, saw 2\\nSkipping line 55: expected 1 fields, saw 2\\nSkipping line 56: expected 1 fields, saw 2\\nSkipping line 57: expected 1 fields, saw 2\\nSkipping line 58: expected 1 fields, saw 2\\nSkipping line 59: expected 1 fields, saw 2\\nSkipping line 60: expected 1 fields, saw 2\\nSkipping line 61: expected 1 fields, saw 2\\nSkipping line 62: expected 1 fields, saw 2\\nSkipping line 63: expected 1 fields, saw 2\\nSkipping line 64: expected 1 fields, saw 2\\nSkipping line 65: expected 1 fields, saw 2\\nSkipping line 66: expected 1 fields, saw 2\\nSkipping line 67: expected 1 fields, saw 2\\nSkipping line 68: expected 1 fields, saw 2\\nSkipping line 69: expected 1 fields, saw 2\\nSkipping line 70: expected 1 fields, saw 2\\nSkipping line 71: expected 1 fields, saw 2\\nSkipping line 72: expected 1 fields, saw 2\\nSkipping line 73: expected 1 fields, saw 2\\nSkipping line 74: expected 1 fields, saw 2\\nSkipping line 75: expected 1 fields, saw 2\\nSkipping line 76: expected 1 fields, saw 2\\nSkipping line 77: expected 1 fields, saw 2\\nSkipping line 78: expected 1 fields, saw 2\\nSkipping line 79: expected 1 fields, saw 2\\nSkipping line 80: expected 1 fields, saw 2\\nSkipping line 81: expected 1 fields, saw 2\\nSkipping line 82: expected 1 fields, saw 2\\nSkipping line 83: expected 1 fields, saw 2\\nSkipping line 84: expected 1 fields, saw 2\\nSkipping line 85: expected 1 fields, saw 2\\nSkipping line 86: expected 1 fields, saw 2\\nSkipping line 87: expected 1 fields, saw 2\\nSkipping line 88: expected 1 fields, saw 2\\nSkipping line 89: expected 1 fields, saw 2\\nSkipping line 90: expected 1 fields, saw 2\\nSkipping line 91: expected 1 fields, saw 2\\nSkipping line 92: expected 1 fields, saw 2\\nSkipping line 93: expected 1 fields, saw 2\\nSkipping line 94: expected 1 fields, saw 2\\nSkipping line 95: expected 1 fields, saw 2\\nSkipping line 96: expected 1 fields, saw 2\\nSkipping line 97: expected 1 fields, saw 2\\nSkipping line 98: expected 1 fields, saw 2\\nSkipping line 99: expected 1 fields, saw 2\\nSkipping line 100: expected 1 fields, saw 2\\nSkipping line 101: expected 1 fields, saw 2\\nSkipping line 102: expected 1 fields, saw 2\\nSkipping line 103: expected 1 fields, saw 2\\nSkipping line 104: expected 1 fields, saw 2\\nSkipping line 105: expected 1 fields, saw 2\\nSkipping line 106: expected 1 fields, saw 2\\nSkipping line 107: expected 1 fields, saw 2\\nSkipping line 108: expected 1 fields, saw 2\\nSkipping line 109: expected 1 fields, saw 2\\nSkipping line 110: expected 1 fields, saw 2\\nSkipping line 111: expected 1 fields, saw 2\\nSkipping line 112: expected 1 fields, saw 2\\nSkipping line 113: expected 1 fields, saw 2\\nSkipping line 114: expected 1 fields, saw 2\\nSkipping line 115: expected 1 fields, saw 2\\nSkipping line 116: expected 1 fields, saw 2\\nSkipping line 117: expected 1 fields, saw 2\\nSkipping line 118: expected 1 fields, saw 2\\nSkipping line 119: expected 1 fields, saw 2\\nSkipping line 120: expected 1 fields, saw 2\\nSkipping line 121: expected 1 fields, saw 2\\nSkipping line 122: expected 1 fields, saw 2\\nSkipping line 123: expected 1 fields, saw 2\\nSkipping line 124: expected 1 fields, saw 2\\nSkipping line 125: expected 1 fields, saw 2\\nSkipping line 126: expected 1 fields, saw 2\\nSkipping line 127: expected 1 fields, saw 2\\nSkipping line 128: expected 1 fields, saw 2\\nSkipping line 129: expected 1 fields, saw 2\\nSkipping line 130: expected 1 fields, saw 2\\nSkipping line 131: expected 1 fields, saw 2\\nSkipping line 132: expected 1 fields, saw 2\\nSkipping line 133: expected 1 fields, saw 2\\nSkipping line 134: expected 1 fields, saw 2\\nSkipping line 135: expected 1 fields, saw 2\\nSkipping line 136: expected 1 fields, saw 2\\nSkipping line 137: expected 1 fields, saw 2\\nSkipping line 138: expected 1 fields, saw 2\\nSkipping line 139: expected 1 fields, saw 2\\nSkipping line 140: expected 1 fields, saw 2\\nSkipping line 141: expected 1 fields, saw 2\\nSkipping line 142: expected 1 fields, saw 2\\nSkipping line 143: expected 1 fields, saw 2\\nSkipping line 144: expected 1 fields, saw 2\\nSkipping line 145: expected 1 fields, saw 2\\nSkipping line 146: expected 1 fields, saw 2\\nSkipping line 147: expected 1 fields, saw 2\\nSkipping line 148: expected 1 fields, saw 2\\nSkipping line 149: expected 1 fields, saw 2\\nSkipping line 150: expected 1 fields, saw 2\\nSkipping line 151: expected 1 fields, saw 2\\nSkipping line 152: expected 1 fields, saw 2\\nSkipping line 153: expected 1 fields, saw 2\\nSkipping line 154: expected 1 fields, saw 2\\nSkipping line 155: expected 1 fields, saw 2\\nSkipping line 156: expected 1 fields, saw 2\\nSkipping line 157: expected 1 fields, saw 2\\nSkipping line 158: expected 1 fields, saw 2\\nSkipping line 159: expected 1 fields, saw 2\\nSkipping line 160: expected 1 fields, saw 2\\nSkipping line 161: expected 1 fields, saw 2\\nSkipping line 162: expected 1 fields, saw 2\\nSkipping line 163: expected 1 fields, saw 2\\nSkipping line 164: expected 1 fields, saw 2\\nSkipping line 165: expected 1 fields, saw 2\\nSkipping line 166: expected 1 fields, saw 2\\nSkipping line 167: expected 1 fields, saw 2\\nSkipping line 168: expected 1 fields, saw 2\\nSkipping line 169: expected 1 fields, saw 2\\nSkipping line 170: expected 1 fields, saw 2\\nSkipping line 171: expected 1 fields, saw 2\\nSkipping line 172: expected 1 fields, saw 2\\nSkipping line 173: expected 1 fields, saw 2\\nSkipping line 174: expected 1 fields, saw 2\\nSkipping line 175: expected 1 fields, saw 2\\nSkipping line 176: expected 1 fields, saw 2\\nSkipping line 177: expected 1 fields, saw 2\\nSkipping line 178: expected 1 fields, saw 2\\nSkipping line 179: expected 1 fields, saw 2\\nSkipping line 180: expected 1 fields, saw 2\\nSkipping line 181: expected 1 fields, saw 2\\nSkipping line 182: expected 1 fields, saw 2\\nSkipping line 183: expected 1 fields, saw 2\\nSkipping line 184: expected 1 fields, saw 2\\nSkipping line 185: expected 1 fields, saw 2\\nSkipping line 186: expected 1 fields, saw 2\\nSkipping line 187: expected 1 fields, saw 2\\nSkipping line 188: expected 1 fields, saw 2\\nSkipping line 189: expected 1 fields, saw 2\\nSkipping line 190: expected 1 fields, saw 2\\nSkipping line 191: expected 1 fields, saw 2\\nSkipping line 192: expected 1 fields, saw 2\\nSkipping line 193: expected 1 fields, saw 2\\nSkipping line 194: expected 1 fields, saw 2\\nSkipping line 195: expected 1 fields, saw 2\\nSkipping line 196: expected 1 fields, saw 2\\nSkipping line 197: expected 1 fields, saw 2\\nSkipping line 198: expected 1 fields, saw 2\\nSkipping line 199: expected 1 fields, saw 2\\nSkipping line 200: expected 1 fields, saw 2\\nSkipping line 201: expected 1 fields, saw 2\\nSkipping line 202: expected 1 fields, saw 2\\nSkipping line 203: expected 1 fields, saw 2\\nSkipping line 204: expected 1 fields, saw 2\\nSkipping line 205: expected 1 fields, saw 2\\nSkipping line 206: expected 1 fields, saw 2\\nSkipping line 207: expected 1 fields, saw 2\\nSkipping line 208: expected 1 fields, saw 2\\nSkipping line 209: expected 1 fields, saw 2\\nSkipping line 210: expected 1 fields, saw 2\\nSkipping line 211: expected 1 fields, saw 2\\nSkipping line 212: expected 1 fields, saw 2\\nSkipping line 213: expected 1 fields, saw 2\\nSkipping line 214: expected 1 fields, saw 2\\nSkipping line 215: expected 1 fields, saw 2\\nSkipping line 216: expected 1 fields, saw 2\\nSkipping line 217: expected 1 fields, saw 2\\nSkipping line 218: expected 1 fields, saw 2\\nSkipping line 219: expected 1 fields, saw 2\\nSkipping line 220: expected 1 fields, saw 2\\nSkipping line 221: expected 1 fields, saw 2\\nSkipping line 222: expected 1 fields, saw 2\\nSkipping line 223: expected 1 fields, saw 2\\nSkipping line 224: expected 1 fields, saw 2\\nSkipping line 225: expected 1 fields, saw 2\\nSkipping line 226: expected 1 fields, saw 2\\nSkipping line 227: expected 1 fields, saw 2\\nSkipping line 228: expected 1 fields, saw 2\\nSkipping line 229: expected 1 fields, saw 2\\nSkipping line 230: expected 1 fields, saw 2\\nSkipping line 231: expected 1 fields, saw 2\\nSkipping line 232: expected 1 fields, saw 2\\nSkipping line 233: expected 1 fields, saw 2\\nSkipping line 234: expected 1 fields, saw 2\\nSkipping line 235: expected 1 fields, saw 2\\nSkipping line 236: expected 1 fields, saw 2\\nSkipping line 237: expected 1 fields, saw 2\\nSkipping line 238: expected 1 fields, saw 2\\nSkipping line 239: expected 1 fields, saw 2\\nSkipping line 240: expected 1 fields, saw 2\\nSkipping line 241: expected 1 fields, saw 2\\nSkipping line 242: expected 1 fields, saw 2\\nSkipping line 243: expected 1 fields, saw 2\\nSkipping line 244: expected 1 fields, saw 2\\nSkipping line 245: expected 1 fields, saw 2\\nSkipping line 246: expected 1 fields, saw 2\\nSkipping line 247: expected 1 fields, saw 2\\nSkipping line 248: expected 1 fields, saw 2\\nSkipping line 249: expected 1 fields, saw 2\\nSkipping line 250: expected 1 fields, saw 2\\nSkipping line 251: expected 1 fields, saw 2\\nSkipping line 252: expected 1 fields, saw 2\\nSkipping line 253: expected 1 fields, saw 2\\nSkipping line 254: expected 1 fields, saw 2\\nSkipping line 255: expected 1 fields, saw 2\\nSkipping line 256: expected 1 fields, saw 2\\nSkipping line 257: expected 1 fields, saw 2\\nSkipping line 258: expected 1 fields, saw 2\\nSkipping line 259: expected 1 fields, saw 2\\nSkipping line 260: expected 1 fields, saw 2\\nSkipping line 261: expected 1 fields, saw 2\\nSkipping line 262: expected 1 fields, saw 2\\nSkipping line 263: expected 1 fields, saw 2\\nSkipping line 264: expected 1 fields, saw 2\\nSkipping line 265: expected 1 fields, saw 2\\nSkipping line 266: expected 1 fields, saw 2\\nSkipping line 267: expected 1 fields, saw 2\\nSkipping line 268: expected 1 fields, saw 2\\nSkipping line 269: expected 1 fields, saw 2\\nSkipping line 270: expected 1 fields, saw 2\\nSkipping line 271: expected 1 fields, saw 2\\nSkipping line 272: expected 1 fields, saw 2\\nSkipping line 273: expected 1 fields, saw 2\\nSkipping line 274: expected 1 fields, saw 2\\nSkipping line 275: expected 1 fields, saw 2\\nSkipping line 276: expected 1 fields, saw 2\\nSkipping line 277: expected 1 fields, saw 2\\nSkipping line 278: expected 1 fields, saw 2\\nSkipping line 279: expected 1 fields, saw 2\\nSkipping line 280: expected 1 fields, saw 2\\nSkipping line 281: expected 1 fields, saw 2\\nSkipping line 282: expected 1 fields, saw 2\\nSkipping line 283: expected 1 fields, saw 2\\nSkipping line 284: expected 1 fields, saw 2\\nSkipping line 285: expected 1 fields, saw 2\\nSkipping line 286: expected 1 fields, saw 2\\nSkipping line 287: expected 1 fields, saw 2\\nSkipping line 288: expected 1 fields, saw 2\\nSkipping line 289: expected 1 fields, saw 2\\nSkipping line 290: expected 1 fields, saw 2\\nSkipping line 291: expected 1 fields, saw 2\\nSkipping line 292: expected 1 fields, saw 2\\nSkipping line 293: expected 1 fields, saw 2\\nSkipping line 294: expected 1 fields, saw 2\\nSkipping line 295: expected 1 fields, saw 2\\nSkipping line 296: expected 1 fields, saw 2\\nSkipping line 297: expected 1 fields, saw 2\\nSkipping line 298: expected 1 fields, saw 2\\nSkipping line 299: expected 1 fields, saw 2\\nSkipping line 300: expected 1 fields, saw 2\\nSkipping line 301: expected 1 fields, saw 2\\nSkipping line 302: expected 1 fields, saw 2\\nSkipping line 303: expected 1 fields, saw 2\\nSkipping line 304: expected 1 fields, saw 2\\nSkipping line 305: expected 1 fields, saw 2\\nSkipping line 306: expected 1 fields, saw 2\\nSkipping line 307: expected 1 fields, saw 2\\nSkipping line 308: expected 1 fields, saw 2\\nSkipping line 309: expected 1 fields, saw 2\\nSkipping line 310: expected 1 fields, saw 2\\nSkipping line 311: expected 1 fields, saw 2\\nSkipping line 312: expected 1 fields, saw 2\\nSkipping line 313: expected 1 fields, saw 2\\nSkipping line 314: expected 1 fields, saw 2\\nSkipping line 315: expected 1 fields, saw 2\\nSkipping line 316: expected 1 fields, saw 2\\nSkipping line 317: expected 1 fields, saw 2\\nSkipping line 318: expected 1 fields, saw 2\\nSkipping line 319: expected 1 fields, saw 2\\nSkipping line 320: expected 1 fields, saw 2\\nSkipping line 321: expected 1 fields, saw 2\\nSkipping line 322: expected 1 fields, saw 2\\nSkipping line 323: expected 1 fields, saw 2\\nSkipping line 324: expected 1 fields, saw 2\\nSkipping line 325: expected 1 fields, saw 2\\nSkipping line 326: expected 1 fields, saw 2\\nSkipping line 327: expected 1 fields, saw 2\\nSkipping line 328: expected 1 fields, saw 2\\nSkipping line 329: expected 1 fields, saw 2\\nSkipping line 330: expected 1 fields, saw 2\\nSkipping line 331: expected 1 fields, saw 2\\nSkipping line 332: expected 1 fields, saw 2\\nSkipping line 333: expected 1 fields, saw 2\\nSkipping line 334: expected 1 fields, saw 2\\nSkipping line 335: expected 1 fields, saw 2\\nSkipping line 336: expected 1 fields, saw 2\\nSkipping line 337: expected 1 fields, saw 2\\nSkipping line 338: expected 1 fields, saw 2\\nSkipping line 339: expected 1 fields, saw 2\\nSkipping line 340: expected 1 fields, saw 2\\nSkipping line 341: expected 1 fields, saw 2\\nSkipping line 342: expected 1 fields, saw 2\\nSkipping line 343: expected 1 fields, saw 2\\nSkipping line 344: expected 1 fields, saw 2\\nSkipping line 345: expected 1 fields, saw 2\\nSkipping line 346: expected 1 fields, saw 2\\nSkipping line 347: expected 1 fields, saw 2\\nSkipping line 348: expected 1 fields, saw 2\\nSkipping line 349: expected 1 fields, saw 2\\nSkipping line 350: expected 1 fields, saw 2\\nSkipping line 351: expected 1 fields, saw 2\\nSkipping line 352: expected 1 fields, saw 2\\nSkipping line 353: expected 1 fields, saw 2\\nSkipping line 354: expected 1 fields, saw 2\\nSkipping line 355: expected 1 fields, saw 2\\nSkipping line 356: expected 1 fields, saw 2\\nSkipping line 357: expected 1 fields, saw 2\\nSkipping line 358: expected 1 fields, saw 2\\nSkipping line 359: expected 1 fields, saw 2\\nSkipping line 360: expected 1 fields, saw 2\\nSkipping line 361: expected 1 fields, saw 2\\nSkipping line 362: expected 1 fields, saw 2\\nSkipping line 363: expected 1 fields, saw 2\\nSkipping line 364: expected 1 fields, saw 2\\nSkipping line 365: expected 1 fields, saw 2\\nSkipping line 366: expected 1 fields, saw 2\\nSkipping line 367: expected 1 fields, saw 2\\nSkipping line 368: expected 1 fields, saw 2\\nSkipping line 369: expected 1 fields, saw 2\\nSkipping line 370: expected 1 fields, saw 2\\nSkipping line 371: expected 1 fields, saw 2\\nSkipping line 372: expected 1 fields, saw 2\\nSkipping line 373: expected 1 fields, saw 2\\nSkipping line 374: expected 1 fields, saw 2\\nSkipping line 375: expected 1 fields, saw 2\\nSkipping line 376: expected 1 fields, saw 2\\nSkipping line 377: expected 1 fields, saw 2\\nSkipping line 378: expected 1 fields, saw 2\\nSkipping line 379: expected 1 fields, saw 2\\nSkipping line 380: expected 1 fields, saw 2\\nSkipping line 381: expected 1 fields, saw 2\\nSkipping line 382: expected 1 fields, saw 2\\nSkipping line 383: expected 1 fields, saw 2\\nSkipping line 384: expected 1 fields, saw 2\\nSkipping line 385: expected 1 fields, saw 2\\nSkipping line 386: expected 1 fields, saw 2\\nSkipping line 387: expected 1 fields, saw 2\\nSkipping line 388: expected 1 fields, saw 2\\nSkipping line 389: expected 1 fields, saw 2\\nSkipping line 390: expected 1 fields, saw 2\\nSkipping line 391: expected 1 fields, saw 2\\nSkipping line 392: expected 1 fields, saw 2\\nSkipping line 393: expected 1 fields, saw 2\\nSkipping line 394: expected 1 fields, saw 2\\nSkipping line 395: expected 1 fields, saw 2\\nSkipping line 396: expected 1 fields, saw 2\\nSkipping line 397: expected 1 fields, saw 2\\nSkipping line 398: expected 1 fields, saw 2\\nSkipping line 399: expected 1 fields, saw 2\\nSkipping line 400: expected 1 fields, saw 2\\nSkipping line 401: expected 1 fields, saw 2\\nSkipping line 402: expected 1 fields, saw 2\\nSkipping line 403: expected 1 fields, saw 2\\nSkipping line 404: expected 1 fields, saw 2\\nSkipping line 405: expected 1 fields, saw 2\\nSkipping line 406: expected 1 fields, saw 2\\nSkipping line 407: expected 1 fields, saw 2\\nSkipping line 408: expected 1 fields, saw 2\\nSkipping line 409: expected 1 fields, saw 2\\nSkipping line 410: expected 1 fields, saw 2\\nSkipping line 411: expected 1 fields, saw 2\\nSkipping line 412: expected 1 fields, saw 2\\nSkipping line 413: expected 1 fields, saw 2\\nSkipping line 414: expected 1 fields, saw 2\\nSkipping line 415: expected 1 fields, saw 2\\nSkipping line 416: expected 1 fields, saw 2\\nSkipping line 417: expected 1 fields, saw 2\\nSkipping line 418: expected 1 fields, saw 2\\nSkipping line 419: expected 1 fields, saw 2\\nSkipping line 420: expected 1 fields, saw 2\\nSkipping line 421: expected 1 fields, saw 2\\nSkipping line 422: expected 1 fields, saw 2\\nSkipping line 423: expected 1 fields, saw 2\\nSkipping line 424: expected 1 fields, saw 2\\nSkipping line 425: expected 1 fields, saw 2\\nSkipping line 426: expected 1 fields, saw 2\\nSkipping line 427: expected 1 fields, saw 2\\nSkipping line 428: expected 1 fields, saw 2\\nSkipping line 429: expected 1 fields, saw 2\\nSkipping line 430: expected 1 fields, saw 2\\nSkipping line 431: expected 1 fields, saw 2\\nSkipping line 432: expected 1 fields, saw 2\\nSkipping line 433: expected 1 fields, saw 2\\nSkipping line 434: expected 1 fields, saw 2\\nSkipping line 435: expected 1 fields, saw 2\\nSkipping line 436: expected 1 fields, saw 2\\nSkipping line 437: expected 1 fields, saw 2\\nSkipping line 438: expected 1 fields, saw 2\\nSkipping line 439: expected 1 fields, saw 2\\nSkipping line 440: expected 1 fields, saw 2\\nSkipping line 441: expected 1 fields, saw 2\\nSkipping line 442: expected 1 fields, saw 2\\nSkipping line 443: expected 1 fields, saw 2\\nSkipping line 444: expected 1 fields, saw 2\\nSkipping line 445: expected 1 fields, saw 2\\nSkipping line 446: expected 1 fields, saw 2\\nSkipping line 447: expected 1 fields, saw 2\\nSkipping line 448: expected 1 fields, saw 2\\nSkipping line 449: expected 1 fields, saw 2\\nSkipping line 450: expected 1 fields, saw 2\\nSkipping line 451: expected 1 fields, saw 2\\nSkipping line 452: expected 1 fields, saw 2\\nSkipping line 453: expected 1 fields, saw 2\\nSkipping line 454: expected 1 fields, saw 2\\nSkipping line 455: expected 1 fields, saw 2\\nSkipping line 456: expected 1 fields, saw 2\\nSkipping line 457: expected 1 fields, saw 2\\nSkipping line 458: expected 1 fields, saw 2\\nSkipping line 459: expected 1 fields, saw 2\\nSkipping line 460: expected 1 fields, saw 2\\nSkipping line 461: expected 1 fields, saw 2\\nSkipping line 462: expected 1 fields, saw 2\\nSkipping line 463: expected 1 fields, saw 2\\nSkipping line 464: expected 1 fields, saw 2\\nSkipping line 465: expected 1 fields, saw 2\\nSkipping line 466: expected 1 fields, saw 2\\nSkipping line 467: expected 1 fields, saw 2\\nSkipping line 468: expected 1 fields, saw 2\\nSkipping line 469: expected 1 fields, saw 2\\nSkipping line 470: expected 1 fields, saw 2\\nSkipping line 471: expected 1 fields, saw 2\\nSkipping line 472: expected 1 fields, saw 2\\nSkipping line 473: expected 1 fields, saw 2\\nSkipping line 474: expected 1 fields, saw 2\\nSkipping line 475: expected 1 fields, saw 2\\nSkipping line 476: expected 1 fields, saw 2\\nSkipping line 477: expected 1 fields, saw 2\\nSkipping line 478: expected 1 fields, saw 2\\nSkipping line 479: expected 1 fields, saw 2\\nSkipping line 480: expected 1 fields, saw 2\\nSkipping line 481: expected 1 fields, saw 2\\nSkipping line 482: expected 1 fields, saw 2\\nSkipping line 483: expected 1 fields, saw 2\\nSkipping line 484: expected 1 fields, saw 2\\nSkipping line 485: expected 1 fields, saw 2\\nSkipping line 486: expected 1 fields, saw 2\\nSkipping line 487: expected 1 fields, saw 2\\nSkipping line 488: expected 1 fields, saw 2\\nSkipping line 489: expected 1 fields, saw 2\\nSkipping line 490: expected 1 fields, saw 2\\nSkipping line 491: expected 1 fields, saw 2\\nSkipping line 492: expected 1 fields, saw 2\\nSkipping line 493: expected 1 fields, saw 2\\nSkipping line 494: expected 1 fields, saw 2\\nSkipping line 495: expected 1 fields, saw 2\\nSkipping line 496: expected 1 fields, saw 2\\nSkipping line 497: expected 1 fields, saw 2\\nSkipping line 498: expected 1 fields, saw 2\\nSkipping line 499: expected 1 fields, saw 2\\nSkipping line 500: expected 1 fields, saw 2\\nSkipping line 501: expected 1 fields, saw 2\\nSkipping line 502: expected 1 fields, saw 2\\nSkipping line 503: expected 1 fields, saw 2\\nSkipping line 504: expected 1 fields, saw 2\\nSkipping line 505: expected 1 fields, saw 2\\nSkipping line 506: expected 1 fields, saw 2\\nSkipping line 507: expected 1 fields, saw 2\\nSkipping line 508: expected 1 fields, saw 2\\nSkipping line 509: expected 1 fields, saw 2\\nSkipping line 510: expected 1 fields, saw 2\\nSkipping line 511: expected 1 fields, saw 2\\nSkipping line 512: expected 1 fields, saw 2\\nSkipping line 513: expected 1 fields, saw 2\\nSkipping line 514: expected 1 fields, saw 2\\nSkipping line 515: expected 1 fields, saw 2\\nSkipping line 516: expected 1 fields, saw 2\\nSkipping line 517: expected 1 fields, saw 2\\nSkipping line 518: expected 1 fields, saw 2\\nSkipping line 519: expected 1 fields, saw 2\\nSkipping line 520: expected 1 fields, saw 2\\nSkipping line 521: expected 1 fields, saw 2\\nSkipping line 522: expected 1 fields, saw 2\\nSkipping line 523: expected 1 fields, saw 2\\nSkipping line 524: expected 1 fields, saw 2\\nSkipping line 525: expected 1 fields, saw 2\\nSkipping line 526: expected 1 fields, saw 2\\nSkipping line 527: expected 1 fields, saw 2\\nSkipping line 528: expected 1 fields, saw 2\\nSkipping line 529: expected 1 fields, saw 2\\nSkipping line 530: expected 1 fields, saw 2\\nSkipping line 531: expected 1 fields, saw 2\\nSkipping line 532: expected 1 fields, saw 2\\nSkipping line 533: expected 1 fields, saw 2\\nSkipping line 534: expected 1 fields, saw 2\\nSkipping line 535: expected 1 fields, saw 2\\nSkipping line 536: expected 1 fields, saw 2\\nSkipping line 537: expected 1 fields, saw 2\\nSkipping line 538: expected 1 fields, saw 2\\nSkipping line 539: expected 1 fields, saw 2\\nSkipping line 540: expected 1 fields, saw 2\\nSkipping line 541: expected 1 fields, saw 2\\nSkipping line 542: expected 1 fields, saw 2\\nSkipping line 543: expected 1 fields, saw 2\\nSkipping line 544: expected 1 fields, saw 2\\nSkipping line 545: expected 1 fields, saw 2\\nSkipping line 546: expected 1 fields, saw 2\\nSkipping line 547: expected 1 fields, saw 2\\nSkipping line 548: expected 1 fields, saw 2\\nSkipping line 549: expected 1 fields, saw 2\\nSkipping line 550: expected 1 fields, saw 2\\nSkipping line 551: expected 1 fields, saw 2\\nSkipping line 552: expected 1 fields, saw 2\\nSkipping line 553: expected 1 fields, saw 2\\nSkipping line 554: expected 1 fields, saw 2\\nSkipping line 555: expected 1 fields, saw 2\\nSkipping line 556: expected 1 fields, saw 2\\nSkipping line 557: expected 1 fields, saw 2\\nSkipping line 558: expected 1 fields, saw 2\\nSkipping line 559: expected 1 fields, saw 2\\nSkipping line 560: expected 1 fields, saw 2\\nSkipping line 561: expected 1 fields, saw 2\\nSkipping line 562: expected 1 fields, saw 2\\nSkipping line 563: expected 1 fields, saw 2\\nSkipping line 564: expected 1 fields, saw 2\\nSkipping line 565: expected 1 fields, saw 2\\nSkipping line 566: expected 1 fields, saw 2\\nSkipping line 567: expected 1 fields, saw 2\\nSkipping line 568: expected 1 fields, saw 2\\nSkipping line 569: expected 1 fields, saw 2\\nSkipping line 570: expected 1 fields, saw 2\\nSkipping line 571: expected 1 fields, saw 2\\nSkipping line 572: expected 1 fields, saw 2\\nSkipping line 573: expected 1 fields, saw 2\\nSkipping line 574: expected 1 fields, saw 2\\nSkipping line 575: expected 1 fields, saw 2\\nSkipping line 576: expected 1 fields, saw 2\\nSkipping line 577: expected 1 fields, saw 2\\nSkipping line 578: expected 1 fields, saw 2\\nSkipping line 579: expected 1 fields, saw 2\\nSkipping line 580: expected 1 fields, saw 2\\nSkipping line 581: expected 1 fields, saw 2\\nSkipping line 582: expected 1 fields, saw 2\\nSkipping line 583: expected 1 fields, saw 2\\nSkipping line 584: expected 1 fields, saw 2\\nSkipping line 585: expected 1 fields, saw 2\\nSkipping line 586: expected 1 fields, saw 2\\nSkipping line 587: expected 1 fields, saw 2\\nSkipping line 588: expected 1 fields, saw 2\\nSkipping line 589: expected 1 fields, saw 2\\nSkipping line 590: expected 1 fields, saw 2\\nSkipping line 591: expected 1 fields, saw 2\\nSkipping line 592: expected 1 fields, saw 2\\nSkipping line 593: expected 1 fields, saw 2\\nSkipping line 594: expected 1 fields, saw 2\\nSkipping line 595: expected 1 fields, saw 2\\nSkipping line 596: expected 1 fields, saw 2\\nSkipping line 597: expected 1 fields, saw 2\\nSkipping line 598: expected 1 fields, saw 2\\nSkipping line 599: expected 1 fields, saw 2\\nSkipping line 600: expected 1 fields, saw 2\\nSkipping line 601: expected 1 fields, saw 2\\nSkipping line 602: expected 1 fields, saw 2\\nSkipping line 603: expected 1 fields, saw 2\\nSkipping line 604: expected 1 fields, saw 2\\nSkipping line 605: expected 1 fields, saw 2\\nSkipping line 606: expected 1 fields, saw 2\\nSkipping line 607: expected 1 fields, saw 2\\nSkipping line 608: expected 1 fields, saw 2\\nSkipping line 609: expected 1 fields, saw 2\\nSkipping line 610: expected 1 fields, saw 2\\nSkipping line 611: expected 1 fields, saw 2\\nSkipping line 612: expected 1 fields, saw 2\\nSkipping line 613: expected 1 fields, saw 2\\nSkipping line 614: expected 1 fields, saw 2\\nSkipping line 615: expected 1 fields, saw 2\\nSkipping line 616: expected 1 fields, saw 2\\nSkipping line 617: expected 1 fields, saw 2\\nSkipping line 618: expected 1 fields, saw 2\\nSkipping line 619: expected 1 fields, saw 2\\nSkipping line 620: expected 1 fields, saw 2\\nSkipping line 621: expected 1 fields, saw 2\\nSkipping line 622: expected 1 fields, saw 2\\nSkipping line 623: expected 1 fields, saw 2\\nSkipping line 624: expected 1 fields, saw 2\\nSkipping line 625: expected 1 fields, saw 2\\nSkipping line 626: expected 1 fields, saw 2\\nSkipping line 627: expected 1 fields, saw 2\\nSkipping line 628: expected 1 fields, saw 2\\nSkipping line 629: expected 1 fields, saw 2\\nSkipping line 630: expected 1 fields, saw 2\\nSkipping line 631: expected 1 fields, saw 2\\nSkipping line 632: expected 1 fields, saw 2\\nSkipping line 633: expected 1 fields, saw 2\\nSkipping line 634: expected 1 fields, saw 2\\nSkipping line 635: expected 1 fields, saw 2\\nSkipping line 636: expected 1 fields, saw 2\\nSkipping line 637: expected 1 fields, saw 2\\nSkipping line 638: expected 1 fields, saw 2\\nSkipping line 639: expected 1 fields, saw 2\\nSkipping line 640: expected 1 fields, saw 2\\nSkipping line 641: expected 1 fields, saw 2\\nSkipping line 642: expected 1 fields, saw 2\\nSkipping line 643: expected 1 fields, saw 2\\nSkipping line 644: expected 1 fields, saw 2\\nSkipping line 645: expected 1 fields, saw 2\\nSkipping line 646: expected 1 fields, saw 2\\nSkipping line 647: expected 1 fields, saw 2\\nSkipping line 648: expected 1 fields, saw 2\\nSkipping line 649: expected 1 fields, saw 2\\nSkipping line 650: expected 1 fields, saw 2\\nSkipping line 651: expected 1 fields, saw 2\\nSkipping line 652: expected 1 fields, saw 2\\nSkipping line 653: expected 1 fields, saw 2\\nSkipping line 654: expected 1 fields, saw 2\\nSkipping line 655: expected 1 fields, saw 2\\nSkipping line 656: expected 1 fields, saw 2\\nSkipping line 657: expected 1 fields, saw 2\\nSkipping line 658: expected 1 fields, saw 2\\nSkipping line 659: expected 1 fields, saw 2\\nSkipping line 660: expected 1 fields, saw 2\\nSkipping line 661: expected 1 fields, saw 2\\nSkipping line 662: expected 1 fields, saw 2\\nSkipping line 663: expected 1 fields, saw 2\\nSkipping line 664: expected 1 fields, saw 2\\nSkipping line 665: expected 1 fields, saw 2\\nSkipping line 666: expected 1 fields, saw 2\\nSkipping line 667: expected 1 fields, saw 2\\nSkipping line 668: expected 1 fields, saw 2\\nSkipping line 669: expected 1 fields, saw 2\\nSkipping line 670: expected 1 fields, saw 2\\nSkipping line 671: expected 1 fields, saw 2\\nSkipping line 672: expected 1 fields, saw 2\\nSkipping line 673: expected 1 fields, saw 2\\nSkipping line 674: expected 1 fields, saw 2\\nSkipping line 675: expected 1 fields, saw 2\\nSkipping line 676: expected 1 fields, saw 2\\nSkipping line 677: expected 1 fields, saw 2\\nSkipping line 678: expected 1 fields, saw 2\\nSkipping line 679: expected 1 fields, saw 2\\nSkipping line 680: expected 1 fields, saw 2\\nSkipping line 681: expected 1 fields, saw 2\\nSkipping line 682: expected 1 fields, saw 2\\nSkipping line 683: expected 1 fields, saw 2\\nSkipping line 684: expected 1 fields, saw 2\\nSkipping line 685: expected 1 fields, saw 2\\nSkipping line 686: expected 1 fields, saw 2\\nSkipping line 687: expected 1 fields, saw 2\\nSkipping line 688: expected 1 fields, saw 2\\nSkipping line 689: expected 1 fields, saw 2\\nSkipping line 690: expected 1 fields, saw 2\\nSkipping line 691: expected 1 fields, saw 2\\nSkipping line 692: expected 1 fields, saw 2\\nSkipping line 693: expected 1 fields, saw 2\\nSkipping line 694: expected 1 fields, saw 2\\nSkipping line 695: expected 1 fields, saw 2\\nSkipping line 696: expected 1 fields, saw 2\\nSkipping line 697: expected 1 fields, saw 2\\nSkipping line 698: expected 1 fields, saw 2\\nSkipping line 699: expected 1 fields, saw 2\\nSkipping line 700: expected 1 fields, saw 2\\nSkipping line 701: expected 1 fields, saw 2\\nSkipping line 702: expected 1 fields, saw 2\\nSkipping line 703: expected 1 fields, saw 2\\nSkipping line 704: expected 1 fields, saw 2\\nSkipping line 705: expected 1 fields, saw 2\\nSkipping line 706: expected 1 fields, saw 2\\nSkipping line 707: expected 1 fields, saw 2\\nSkipping line 708: expected 1 fields, saw 2\\nSkipping line 709: expected 1 fields, saw 2\\nSkipping line 710: expected 1 fields, saw 2\\nSkipping line 711: expected 1 fields, saw 2\\nSkipping line 712: expected 1 fields, saw 2\\nSkipping line 713: expected 1 fields, saw 2\\nSkipping line 714: expected 1 fields, saw 2\\nSkipping line 715: expected 1 fields, saw 2\\nSkipping line 716: expected 1 fields, saw 2\\nSkipping line 717: expected 1 fields, saw 2\\nSkipping line 718: expected 1 fields, saw 2\\nSkipping line 719: expected 1 fields, saw 2\\nSkipping line 720: expected 1 fields, saw 2\\nSkipping line 721: expected 1 fields, saw 2\\nSkipping line 722: expected 1 fields, saw 2\\nSkipping line 723: expected 1 fields, saw 2\\nSkipping line 724: expected 1 fields, saw 2\\nSkipping line 725: expected 1 fields, saw 2\\nSkipping line 726: expected 1 fields, saw 2\\nSkipping line 727: expected 1 fields, saw 2\\nSkipping line 728: expected 1 fields, saw 2\\nSkipping line 729: expected 1 fields, saw 2\\nSkipping line 730: expected 1 fields, saw 2\\nSkipping line 731: expected 1 fields, saw 2\\nSkipping line 732: expected 1 fields, saw 2\\nSkipping line 733: expected 1 fields, saw 2\\nSkipping line 734: expected 1 fields, saw 2\\nSkipping line 735: expected 1 fields, saw 2\\nSkipping line 736: expected 1 fields, saw 2\\nSkipping line 737: expected 1 fields, saw 2\\nSkipping line 738: expected 1 fields, saw 2\\nSkipping line 739: expected 1 fields, saw 2\\nSkipping line 740: expected 1 fields, saw 2\\nSkipping line 741: expected 1 fields, saw 2\\nSkipping line 742: expected 1 fields, saw 2\\nSkipping line 743: expected 1 fields, saw 2\\nSkipping line 744: expected 1 fields, saw 2\\nSkipping line 745: expected 1 fields, saw 2\\nSkipping line 746: expected 1 fields, saw 2\\nSkipping line 747: expected 1 fields, saw 2\\nSkipping line 748: expected 1 fields, saw 2\\nSkipping line 749: expected 1 fields, saw 2\\nSkipping line 750: expected 1 fields, saw 2\\nSkipping line 751: expected 1 fields, saw 2\\nSkipping line 752: expected 1 fields, saw 2\\nSkipping line 753: expected 1 fields, saw 2\\nSkipping line 754: expected 1 fields, saw 2\\nSkipping line 755: expected 1 fields, saw 2\\nSkipping line 756: expected 1 fields, saw 2\\nSkipping line 757: expected 1 fields, saw 2\\nSkipping line 758: expected 1 fields, saw 2\\nSkipping line 759: expected 1 fields, saw 2\\nSkipping line 760: expected 1 fields, saw 2\\nSkipping line 761: expected 1 fields, saw 2\\nSkipping line 762: expected 1 fields, saw 2\\nSkipping line 763: expected 1 fields, saw 2\\nSkipping line 764: expected 1 fields, saw 2\\nSkipping line 765: expected 1 fields, saw 2\\nSkipping line 766: expected 1 fields, saw 2\\nSkipping line 767: expected 1 fields, saw 2\\nSkipping line 768: expected 1 fields, saw 2\\nSkipping line 769: expected 1 fields, saw 2\\nSkipping line 770: expected 1 fields, saw 2\\nSkipping line 771: expected 1 fields, saw 2\\nSkipping line 772: expected 1 fields, saw 2\\nSkipping line 773: expected 1 fields, saw 2\\nSkipping line 774: expected 1 fields, saw 2\\nSkipping line 775: expected 1 fields, saw 2\\nSkipping line 776: expected 1 fields, saw 2\\nSkipping line 777: expected 1 fields, saw 2\\nSkipping line 778: expected 1 fields, saw 2\\nSkipping line 779: expected 1 fields, saw 2\\nSkipping line 780: expected 1 fields, saw 2\\nSkipping line 781: expected 1 fields, saw 2\\nSkipping line 782: expected 1 fields, saw 2\\nSkipping line 783: expected 1 fields, saw 2\\nSkipping line 784: expected 1 fields, saw 2\\nSkipping line 785: expected 1 fields, saw 2\\nSkipping line 786: expected 1 fields, saw 2\\nSkipping line 787: expected 1 fields, saw 2\\nSkipping line 788: expected 1 fields, saw 2\\nSkipping line 789: expected 1 fields, saw 2\\nSkipping line 790: expected 1 fields, saw 2\\nSkipping line 791: expected 1 fields, saw 2\\nSkipping line 792: expected 1 fields, saw 2\\nSkipping line 793: expected 1 fields, saw 2\\nSkipping line 794: expected 1 fields, saw 2\\nSkipping line 795: expected 1 fields, saw 2\\nSkipping line 796: expected 1 fields, saw 2\\nSkipping line 797: expected 1 fields, saw 2\\nSkipping line 798: expected 1 fields, saw 2\\nSkipping line 799: expected 1 fields, saw 2\\nSkipping line 800: expected 1 fields, saw 2\\nSkipping line 801: expected 1 fields, saw 2\\nSkipping line 802: expected 1 fields, saw 2\\nSkipping line 803: expected 1 fields, saw 2\\nSkipping line 804: expected 1 fields, saw 2\\nSkipping line 805: expected 1 fields, saw 2\\nSkipping line 806: expected 1 fields, saw 2\\nSkipping line 807: expected 1 fields, saw 2\\nSkipping line 808: expected 1 fields, saw 2\\nSkipping line 809: expected 1 fields, saw 2\\nSkipping line 810: expected 1 fields, saw 2\\nSkipping line 811: expected 1 fields, saw 2\\nSkipping line 812: expected 1 fields, saw 2\\nSkipping line 813: expected 1 fields, saw 2\\nSkipping line 814: expected 1 fields, saw 2\\nSkipping line 815: expected 1 fields, saw 2\\nSkipping line 816: expected 1 fields, saw 2\\nSkipping line 817: expected 1 fields, saw 2\\nSkipping line 818: expected 1 fields, saw 2\\nSkipping line 819: expected 1 fields, saw 2\\nSkipping line 820: expected 1 fields, saw 2\\nSkipping line 821: expected 1 fields, saw 2\\nSkipping line 822: expected 1 fields, saw 2\\nSkipping line 823: expected 1 fields, saw 2\\nSkipping line 824: expected 1 fields, saw 2\\nSkipping line 825: expected 1 fields, saw 2\\nSkipping line 826: expected 1 fields, saw 2\\nSkipping line 827: expected 1 fields, saw 2\\nSkipping line 828: expected 1 fields, saw 2\\nSkipping line 829: expected 1 fields, saw 2\\nSkipping line 830: expected 1 fields, saw 2\\nSkipping line 831: expected 1 fields, saw 2\\nSkipping line 832: expected 1 fields, saw 2\\nSkipping line 833: expected 1 fields, saw 2\\nSkipping line 834: expected 1 fields, saw 2\\nSkipping line 835: expected 1 fields, saw 2\\nSkipping line 836: expected 1 fields, saw 2\\nSkipping line 837: expected 1 fields, saw 2\\nSkipping line 838: expected 1 fields, saw 2\\nSkipping line 839: expected 1 fields, saw 2\\nSkipping line 840: expected 1 fields, saw 2\\nSkipping line 841: expected 1 fields, saw 2\\nSkipping line 842: expected 1 fields, saw 2\\nSkipping line 843: expected 1 fields, saw 2\\nSkipping line 844: expected 1 fields, saw 2\\nSkipping line 845: expected 1 fields, saw 2\\nSkipping line 846: expected 1 fields, saw 2\\nSkipping line 847: expected 1 fields, saw 2\\nSkipping line 848: expected 1 fields, saw 2\\nSkipping line 849: expected 1 fields, saw 2\\nSkipping line 850: expected 1 fields, saw 2\\nSkipping line 851: expected 1 fields, saw 2\\nSkipping line 852: expected 1 fields, saw 2\\nSkipping line 853: expected 1 fields, saw 2\\nSkipping line 854: expected 1 fields, saw 2\\nSkipping line 855: expected 1 fields, saw 2\\nSkipping line 856: expected 1 fields, saw 2\\nSkipping line 857: expected 1 fields, saw 2\\nSkipping line 858: expected 1 fields, saw 2\\nSkipping line 859: expected 1 fields, saw 2\\nSkipping line 860: expected 1 fields, saw 2\\nSkipping line 861: expected 1 fields, saw 2\\nSkipping line 862: expected 1 fields, saw 2\\nSkipping line 863: expected 1 fields, saw 2\\nSkipping line 864: expected 1 fields, saw 2\\nSkipping line 865: expected 1 fields, saw 2\\nSkipping line 866: expected 1 fields, saw 2\\nSkipping line 867: expected 1 fields, saw 2\\nSkipping line 868: expected 1 fields, saw 2\\nSkipping line 869: expected 1 fields, saw 2\\nSkipping line 870: expected 1 fields, saw 2\\nSkipping line 871: expected 1 fields, saw 2\\nSkipping line 872: expected 1 fields, saw 2\\nSkipping line 873: expected 1 fields, saw 2\\nSkipping line 874: expected 1 fields, saw 2\\nSkipping line 875: expected 1 fields, saw 2\\nSkipping line 876: expected 1 fields, saw 2\\nSkipping line 877: expected 1 fields, saw 2\\nSkipping line 878: expected 1 fields, saw 2\\nSkipping line 879: expected 1 fields, saw 2\\nSkipping line 880: expected 1 fields, saw 2\\nSkipping line 881: expected 1 fields, saw 2\\nSkipping line 882: expected 1 fields, saw 2\\nSkipping line 883: expected 1 fields, saw 2\\nSkipping line 884: expected 1 fields, saw 2\\nSkipping line 885: expected 1 fields, saw 2\\nSkipping line 886: expected 1 fields, saw 2\\nSkipping line 887: expected 1 fields, saw 2\\nSkipping line 888: expected 1 fields, saw 2\\nSkipping line 889: expected 1 fields, saw 2\\nSkipping line 890: expected 1 fields, saw 2\\nSkipping line 891: expected 1 fields, saw 2\\nSkipping line 892: expected 1 fields, saw 2\\nSkipping line 893: expected 1 fields, saw 2\\nSkipping line 894: expected 1 fields, saw 2\\nSkipping line 895: expected 1 fields, saw 2\\nSkipping line 896: expected 1 fields, saw 2\\nSkipping line 897: expected 1 fields, saw 2\\nSkipping line 898: expected 1 fields, saw 2\\nSkipping line 899: expected 1 fields, saw 2\\nSkipping line 900: expected 1 fields, saw 2\\nSkipping line 901: expected 1 fields, saw 2\\nSkipping line 902: expected 1 fields, saw 2\\nSkipping line 903: expected 1 fields, saw 2\\nSkipping line 904: expected 1 fields, saw 2\\nSkipping line 905: expected 1 fields, saw 2\\nSkipping line 906: expected 1 fields, saw 2\\nSkipping line 907: expected 1 fields, saw 2\\nSkipping line 908: expected 1 fields, saw 2\\nSkipping line 909: expected 1 fields, saw 2\\nSkipping line 910: expected 1 fields, saw 2\\nSkipping line 911: expected 1 fields, saw 2\\nSkipping line 912: expected 1 fields, saw 2\\nSkipping line 913: expected 1 fields, saw 2\\nSkipping line 914: expected 1 fields, saw 2\\nSkipping line 915: expected 1 fields, saw 2\\nSkipping line 916: expected 1 fields, saw 2\\nSkipping line 917: expected 1 fields, saw 2\\nSkipping line 918: expected 1 fields, saw 2\\nSkipping line 919: expected 1 fields, saw 2\\nSkipping line 920: expected 1 fields, saw 2\\nSkipping line 921: expected 1 fields, saw 2\\nSkipping line 922: expected 1 fields, saw 2\\nSkipping line 923: expected 1 fields, saw 2\\nSkipping line 924: expected 1 fields, saw 2\\nSkipping line 925: expected 1 fields, saw 2\\nSkipping line 926: expected 1 fields, saw 2\\nSkipping line 927: expected 1 fields, saw 2\\nSkipping line 928: expected 1 fields, saw 2\\nSkipping line 929: expected 1 fields, saw 2\\nSkipping line 930: expected 1 fields, saw 2\\nSkipping line 931: expected 1 fields, saw 2\\nSkipping line 932: expected 1 fields, saw 2\\nSkipping line 933: expected 1 fields, saw 2\\nSkipping line 934: expected 1 fields, saw 2\\nSkipping line 935: expected 1 fields, saw 2\\nSkipping line 936: expected 1 fields, saw 2\\nSkipping line 937: expected 1 fields, saw 2\\nSkipping line 938: expected 1 fields, saw 2\\nSkipping line 939: expected 1 fields, saw 2\\nSkipping line 940: expected 1 fields, saw 2\\nSkipping line 941: expected 1 fields, saw 2\\nSkipping line 942: expected 1 fields, saw 2\\nSkipping line 943: expected 1 fields, saw 2\\nSkipping line 944: expected 1 fields, saw 2\\nSkipping line 945: expected 1 fields, saw 2\\nSkipping line 946: expected 1 fields, saw 2\\nSkipping line 947: expected 1 fields, saw 2\\nSkipping line 948: expected 1 fields, saw 2\\nSkipping line 949: expected 1 fields, saw 2\\nSkipping line 950: expected 1 fields, saw 2\\nSkipping line 951: expected 1 fields, saw 2\\nSkipping line 952: expected 1 fields, saw 2\\nSkipping line 953: expected 1 fields, saw 2\\nSkipping line 954: expected 1 fields, saw 2\\nSkipping line 955: expected 1 fields, saw 2\\nSkipping line 956: expected 1 fields, saw 2\\nSkipping line 957: expected 1 fields, saw 2\\nSkipping line 958: expected 1 fields, saw 2\\nSkipping line 959: expected 1 fields, saw 2\\nSkipping line 960: expected 1 fields, saw 2\\nSkipping line 961: expected 1 fields, saw 2\\nSkipping line 962: expected 1 fields, saw 2\\nSkipping line 963: expected 1 fields, saw 2\\nSkipping line 964: expected 1 fields, saw 2\\nSkipping line 965: expected 1 fields, saw 2\\nSkipping line 966: expected 1 fields, saw 2\\nSkipping line 967: expected 1 fields, saw 2\\nSkipping line 968: expected 1 fields, saw 2\\nSkipping line 969: expected 1 fields, saw 2\\nSkipping line 970: expected 1 fields, saw 2\\nSkipping line 971: expected 1 fields, saw 2\\nSkipping line 972: expected 1 fields, saw 2\\nSkipping line 973: expected 1 fields, saw 2\\nSkipping line 974: expected 1 fields, saw 2\\nSkipping line 975: expected 1 fields, saw 2\\nSkipping line 976: expected 1 fields, saw 2\\nSkipping line 977: expected 1 fields, saw 2\\nSkipping line 978: expected 1 fields, saw 2\\nSkipping line 979: expected 1 fields, saw 2\\nSkipping line 980: expected 1 fields, saw 2\\nSkipping line 981: expected 1 fields, saw 2\\nSkipping line 982: expected 1 fields, saw 2\\nSkipping line 983: expected 1 fields, saw 2\\nSkipping line 984: expected 1 fields, saw 2\\nSkipping line 985: expected 1 fields, saw 2\\nSkipping line 986: expected 1 fields, saw 2\\nSkipping line 987: expected 1 fields, saw 2\\nSkipping line 988: expected 1 fields, saw 2\\nSkipping line 989: expected 1 fields, saw 2\\nSkipping line 990: expected 1 fields, saw 2\\nSkipping line 991: expected 1 fields, saw 2\\nSkipping line 992: expected 1 fields, saw 2\\nSkipping line 993: expected 1 fields, saw 2\\nSkipping line 994: expected 1 fields, saw 2\\nSkipping line 995: expected 1 fields, saw 2\\nSkipping line 996: expected 1 fields, saw 2\\nSkipping line 997: expected 1 fields, saw 2\\nSkipping line 998: expected 1 fields, saw 2\\nSkipping line 999: expected 1 fields, saw 2\\nSkipping line 1000: expected 1 fields, saw 2\\nSkipping line 1001: expected 1 fields, saw 2\\nSkipping line 1002: expected 1 fields, saw 2\\nSkipping line 1003: expected 1 fields, saw 2\\nSkipping line 1004: expected 1 fields, saw 2\\nSkipping line 1005: expected 1 fields, saw 2\\nSkipping line 1006: expected 1 fields, saw 2\\nSkipping line 1007: expected 1 fields, saw 2\\nSkipping line 1008: expected 1 fields, saw 2\\nSkipping line 1009: expected 1 fields, saw 2\\nSkipping line 1010: expected 1 fields, saw 2\\nSkipping line 1011: expected 1 fields, saw 2\\nSkipping line 1012: expected 1 fields, saw 2\\nSkipping line 1013: expected 1 fields, saw 2\\nSkipping line 1014: expected 1 fields, saw 2\\nSkipping line 1015: expected 1 fields, saw 2\\nSkipping line 1016: expected 1 fields, saw 2\\nSkipping line 1017: expected 1 fields, saw 2\\nSkipping line 1018: expected 1 fields, saw 2\\nSkipping line 1019: expected 1 fields, saw 2\\nSkipping line 1020: expected 1 fields, saw 2\\nSkipping line 1021: expected 1 fields, saw 2\\nSkipping line 1022: expected 1 fields, saw 2\\nSkipping line 1023: expected 1 fields, saw 2\\nSkipping line 1024: expected 1 fields, saw 2\\nSkipping line 1025: expected 1 fields, saw 2\\nSkipping line 1026: expected 1 fields, saw 2\\nSkipping line 1027: expected 1 fields, saw 2\\nSkipping line 1028: expected 1 fields, saw 2\\nSkipping line 1029: expected 1 fields, saw 2\\nSkipping line 1030: expected 1 fields, saw 2\\nSkipping line 1031: expected 1 fields, saw 2\\nSkipping line 1032: expected 1 fields, saw 2\\nSkipping line 1033: expected 1 fields, saw 2\\nSkipping line 1034: expected 1 fields, saw 2\\nSkipping line 1035: expected 1 fields, saw 2\\nSkipping line 1036: expected 1 fields, saw 2\\nSkipping line 1037: expected 1 fields, saw 2\\nSkipping line 1038: expected 1 fields, saw 2\\nSkipping line 1039: expected 1 fields, saw 2\\nSkipping line 1040: expected 1 fields, saw 2\\nSkipping line 1041: expected 1 fields, saw 2\\nSkipping line 1042: expected 1 fields, saw 2\\nSkipping line 1043: expected 1 fields, saw 2\\nSkipping line 1044: expected 1 fields, saw 2\\nSkipping line 1045: expected 1 fields, saw 2\\nSkipping line 1046: expected 1 fields, saw 2\\nSkipping line 1047: expected 1 fields, saw 2\\nSkipping line 1048: expected 1 fields, saw 2\\nSkipping line 1049: expected 1 fields, saw 2\\nSkipping line 1050: expected 1 fields, saw 2\\nSkipping line 1051: expected 1 fields, saw 2\\nSkipping line 1052: expected 1 fields, saw 2\\nSkipping line 1053: expected 1 fields, saw 2\\nSkipping line 1054: expected 1 fields, saw 2\\nSkipping line 1055: expected 1 fields, saw 2\\nSkipping line 1056: expected 1 fields, saw 2\\nSkipping line 1057: expected 1 fields, saw 2\\nSkipping line 1058: expected 1 fields, saw 2\\nSkipping line 1059: expected 1 fields, saw 2\\nSkipping line 1060: expected 1 fields, saw 2\\nSkipping line 1061: expected 1 fields, saw 2\\nSkipping line 1062: expected 1 fields, saw 2\\nSkipping line 1063: expected 1 fields, saw 2\\nSkipping line 1064: expected 1 fields, saw 2\\nSkipping line 1065: expected 1 fields, saw 2\\nSkipping line 1066: expected 1 fields, saw 2\\nSkipping line 1067: expected 1 fields, saw 2\\nSkipping line 1068: expected 1 fields, saw 2\\nSkipping line 1069: expected 1 fields, saw 2\\nSkipping line 1070: expected 1 fields, saw 2\\nSkipping line 1071: expected 1 fields, saw 2\\nSkipping line 1072: expected 1 fields, saw 2\\nSkipping line 1073: expected 1 fields, saw 2\\nSkipping line 1074: expected 1 fields, saw 2\\nSkipping line 1075: expected 1 fields, saw 2\\nSkipping line 1076: expected 1 fields, saw 2\\nSkipping line 1077: expected 1 fields, saw 2\\nSkipping line 1078: expected 1 fields, saw 2\\nSkipping line 1079: expected 1 fields, saw 2\\nSkipping line 1080: expected 1 fields, saw 2\\nSkipping line 1081: expected 1 fields, saw 2\\nSkipping line 1082: expected 1 fields, saw 2\\nSkipping line 1083: expected 1 fields, saw 2\\nSkipping line 1084: expected 1 fields, saw 2\\nSkipping line 1085: expected 1 fields, saw 2\\nSkipping line 1086: expected 1 fields, saw 2\\nSkipping line 1087: expected 1 fields, saw 2\\nSkipping line 1088: expected 1 fields, saw 2\\nSkipping line 1089: expected 1 fields, saw 2\\nSkipping line 1090: expected 1 fields, saw 2\\nSkipping line 1091: expected 1 fields, saw 2\\nSkipping line 1092: expected 1 fields, saw 2\\nSkipping line 1093: expected 1 fields, saw 2\\nSkipping line 1094: expected 1 fields, saw 2\\nSkipping line 1095: expected 1 fields, saw 2\\nSkipping line 1096: expected 1 fields, saw 2\\nSkipping line 1097: expected 1 fields, saw 2\\nSkipping line 1098: expected 1 fields, saw 2\\nSkipping line 1099: expected 1 fields, saw 2\\nSkipping line 1100: expected 1 fields, saw 2\\nSkipping line 1101: expected 1 fields, saw 2\\nSkipping line 1102: expected 1 fields, saw 2\\nSkipping line 1103: expected 1 fields, saw 2\\nSkipping line 1104: expected 1 fields, saw 2\\nSkipping line 1105: expected 1 fields, saw 2\\nSkipping line 1106: expected 1 fields, saw 2\\nSkipping line 1107: expected 1 fields, saw 2\\nSkipping line 1108: expected 1 fields, saw 2\\nSkipping line 1109: expected 1 fields, saw 2\\nSkipping line 1110: expected 1 fields, saw 2\\nSkipping line 1111: expected 1 fields, saw 2\\nSkipping line 1112: expected 1 fields, saw 2\\nSkipping line 1113: expected 1 fields, saw 2\\nSkipping line 1114: expected 1 fields, saw 2\\nSkipping line 1115: expected 1 fields, saw 2\\nSkipping line 1116: expected 1 fields, saw 2\\nSkipping line 1117: expected 1 fields, saw 2\\nSkipping line 1118: expected 1 fields, saw 2\\nSkipping line 1119: expected 1 fields, saw 2\\nSkipping line 1120: expected 1 fields, saw 2\\nSkipping line 1121: expected 1 fields, saw 2\\nSkipping line 1122: expected 1 fields, saw 2\\nSkipping line 1123: expected 1 fields, saw 2\\nSkipping line 1124: expected 1 fields, saw 2\\nSkipping line 1125: expected 1 fields, saw 2\\nSkipping line 1126: expected 1 fields, saw 2\\nSkipping line 1127: expected 1 fields, saw 2\\nSkipping line 1128: expected 1 fields, saw 2\\nSkipping line 1129: expected 1 fields, saw 2\\nSkipping line 1130: expected 1 fields, saw 2\\nSkipping line 1131: expected 1 fields, saw 2\\nSkipping line 1132: expected 1 fields, saw 2\\nSkipping line 1133: expected 1 fields, saw 2\\nSkipping line 1134: expected 1 fields, saw 2\\nSkipping line 1135: expected 1 fields, saw 2\\nSkipping line 1136: expected 1 fields, saw 2\\nSkipping line 1137: expected 1 fields, saw 2\\nSkipping line 1138: expected 1 fields, saw 2\\nSkipping line 1139: expected 1 fields, saw 2\\nSkipping line 1140: expected 1 fields, saw 2\\nSkipping line 1141: expected 1 fields, saw 2\\nSkipping line 1142: expected 1 fields, saw 2\\nSkipping line 1143: expected 1 fields, saw 2\\nSkipping line 1144: expected 1 fields, saw 2\\nSkipping line 1145: expected 1 fields, saw 2\\nSkipping line 1146: expected 1 fields, saw 2\\nSkipping line 1147: expected 1 fields, saw 2\\nSkipping line 1148: expected 1 fields, saw 2\\nSkipping line 1149: expected 1 fields, saw 2\\nSkipping line 1150: expected 1 fields, saw 2\\nSkipping line 1151: expected 1 fields, saw 2\\nSkipping line 1152: expected 1 fields, saw 2\\nSkipping line 1153: expected 1 fields, saw 2\\nSkipping line 1154: expected 1 fields, saw 2\\nSkipping line 1155: expected 1 fields, saw 2\\nSkipping line 1156: expected 1 fields, saw 2\\nSkipping line 1157: expected 1 fields, saw 2\\nSkipping line 1158: expected 1 fields, saw 2\\nSkipping line 1159: expected 1 fields, saw 2\\nSkipping line 1160: expected 1 fields, saw 2\\nSkipping line 1161: expected 1 fields, saw 2\\nSkipping line 1162: expected 1 fields, saw 2\\nSkipping line 1163: expected 1 fields, saw 2\\nSkipping line 1164: expected 1 fields, saw 2\\nSkipping line 1165: expected 1 fields, saw 2\\nSkipping line 1166: expected 1 fields, saw 2\\nSkipping line 1167: expected 1 fields, saw 2\\nSkipping line 1168: expected 1 fields, saw 2\\nSkipping line 1169: expected 1 fields, saw 2\\nSkipping line 1170: expected 1 fields, saw 2\\nSkipping line 1171: expected 1 fields, saw 2\\nSkipping line 1172: expected 1 fields, saw 2\\nSkipping line 1173: expected 1 fields, saw 2\\nSkipping line 1174: expected 1 fields, saw 2\\nSkipping line 1175: expected 1 fields, saw 2\\nSkipping line 1176: expected 1 fields, saw 2\\nSkipping line 1177: expected 1 fields, saw 2\\nSkipping line 1178: expected 1 fields, saw 2\\nSkipping line 1179: expected 1 fields, saw 2\\nSkipping line 1180: expected 1 fields, saw 2\\nSkipping line 1181: expected 1 fields, saw 2\\nSkipping line 1182: expected 1 fields, saw 2\\nSkipping line 1183: expected 1 fields, saw 2\\nSkipping line 1184: expected 1 fields, saw 2\\nSkipping line 1185: expected 1 fields, saw 2\\nSkipping line 1186: expected 1 fields, saw 2\\nSkipping line 1187: expected 1 fields, saw 2\\nSkipping line 1188: expected 1 fields, saw 2\\nSkipping line 1189: expected 1 fields, saw 2\\nSkipping line 1190: expected 1 fields, saw 2\\nSkipping line 1191: expected 1 fields, saw 2\\nSkipping line 1192: expected 1 fields, saw 2\\nSkipping line 1193: expected 1 fields, saw 2\\nSkipping line 1194: expected 1 fields, saw 2\\nSkipping line 1195: expected 1 fields, saw 2\\nSkipping line 1196: expected 1 fields, saw 2\\nSkipping line 1197: expected 1 fields, saw 2\\nSkipping line 1198: expected 1 fields, saw 2\\nSkipping line 1199: expected 1 fields, saw 2\\nSkipping line 1200: expected 1 fields, saw 2\\nSkipping line 1201: expected 1 fields, saw 2\\nSkipping line 1202: expected 1 fields, saw 2\\nSkipping line 1203: expected 1 fields, saw 2\\nSkipping line 1204: expected 1 fields, saw 2\\nSkipping line 1205: expected 1 fields, saw 2\\nSkipping line 1206: expected 1 fields, saw 2\\nSkipping line 1207: expected 1 fields, saw 2\\nSkipping line 1208: expected 1 fields, saw 2\\nSkipping line 1209: expected 1 fields, saw 2\\nSkipping line 1210: expected 1 fields, saw 2\\nSkipping line 1211: expected 1 fields, saw 2\\nSkipping line 1212: expected 1 fields, saw 2\\nSkipping line 1213: expected 1 fields, saw 2\\nSkipping line 1214: expected 1 fields, saw 2\\nSkipping line 1215: expected 1 fields, saw 2\\nSkipping line 1216: expected 1 fields, saw 2\\nSkipping line 1217: expected 1 fields, saw 2\\nSkipping line 1218: expected 1 fields, saw 2\\nSkipping line 1219: expected 1 fields, saw 2\\nSkipping line 1220: expected 1 fields, saw 2\\nSkipping line 1221: expected 1 fields, saw 2\\nSkipping line 1222: expected 1 fields, saw 2\\nSkipping line 1223: expected 1 fields, saw 2\\nSkipping line 1224: expected 1 fields, saw 2\\nSkipping line 1225: expected 1 fields, saw 2\\nSkipping line 1226: expected 1 fields, saw 2\\nSkipping line 1227: expected 1 fields, saw 2\\nSkipping line 1228: expected 1 fields, saw 2\\nSkipping line 1229: expected 1 fields, saw 2\\nSkipping line 1230: expected 1 fields, saw 2\\nSkipping line 1231: expected 1 fields, saw 2\\nSkipping line 1232: expected 1 fields, saw 2\\nSkipping line 1233: expected 1 fields, saw 2\\nSkipping line 1234: expected 1 fields, saw 2\\nSkipping line 1235: expected 1 fields, saw 2\\nSkipping line 1236: expected 1 fields, saw 2\\nSkipping line 1237: expected 1 fields, saw 2\\nSkipping line 1238: expected 1 fields, saw 2\\nSkipping line 1239: expected 1 fields, saw 2\\nSkipping line 1240: expected 1 fields, saw 2\\nSkipping line 1241: expected 1 fields, saw 2\\nSkipping line 1242: expected 1 fields, saw 2\\nSkipping line 1243: expected 1 fields, saw 2\\nSkipping line 1244: expected 1 fields, saw 2\\nSkipping line 1245: expected 1 fields, saw 2\\nSkipping line 1246: expected 1 fields, saw 2\\nSkipping line 1247: expected 1 fields, saw 2\\nSkipping line 1248: expected 1 fields, saw 2\\nSkipping line 1249: expected 1 fields, saw 2\\nSkipping line 1250: expected 1 fields, saw 2\\nSkipping line 1251: expected 1 fields, saw 2\\nSkipping line 1252: expected 1 fields, saw 2\\nSkipping line 1253: expected 1 fields, saw 2\\nSkipping line 1254: expected 1 fields, saw 2\\nSkipping line 1255: expected 1 fields, saw 2\\nSkipping line 1256: expected 1 fields, saw 2\\nSkipping line 1257: expected 1 fields, saw 2\\nSkipping line 1258: expected 1 fields, saw 2\\nSkipping line 1259: expected 1 fields, saw 2\\nSkipping line 1260: expected 1 fields, saw 2\\nSkipping line 1261: expected 1 fields, saw 2\\nSkipping line 1262: expected 1 fields, saw 2\\nSkipping line 1263: expected 1 fields, saw 2\\nSkipping line 1264: expected 1 fields, saw 2\\nSkipping line 1265: expected 1 fields, saw 2\\nSkipping line 1266: expected 1 fields, saw 2\\nSkipping line 1267: expected 1 fields, saw 2\\nSkipping line 1268: expected 1 fields, saw 2\\nSkipping line 1269: expected 1 fields, saw 2\\nSkipping line 1270: expected 1 fields, saw 2\\nSkipping line 1271: expected 1 fields, saw 2\\nSkipping line 1272: expected 1 fields, saw 2\\nSkipping line 1273: expected 1 fields, saw 2\\nSkipping line 1274: expected 1 fields, saw 2\\nSkipping line 1275: expected 1 fields, saw 2\\nSkipping line 1276: expected 1 fields, saw 2\\nSkipping line 1277: expected 1 fields, saw 2\\nSkipping line 1278: expected 1 fields, saw 2\\nSkipping line 1279: expected 1 fields, saw 2\\nSkipping line 1280: expected 1 fields, saw 2\\nSkipping line 1281: expected 1 fields, saw 2\\nSkipping line 1282: expected 1 fields, saw 2\\nSkipping line 1283: expected 1 fields, saw 2\\nSkipping line 1284: expected 1 fields, saw 2\\nSkipping line 1285: expected 1 fields, saw 2\\nSkipping line 1286: expected 1 fields, saw 2\\nSkipping line 1287: expected 1 fields, saw 2\\nSkipping line 1288: expected 1 fields, saw 2\\nSkipping line 1289: expected 1 fields, saw 2\\nSkipping line 1290: expected 1 fields, saw 2\\nSkipping line 1291: expected 1 fields, saw 2\\nSkipping line 1292: expected 1 fields, saw 2\\nSkipping line 1293: expected 1 fields, saw 2\\nSkipping line 1294: expected 1 fields, saw 2\\nSkipping line 1295: expected 1 fields, saw 2\\nSkipping line 1296: expected 1 fields, saw 2\\nSkipping line 1297: expected 1 fields, saw 2\\nSkipping line 1298: expected 1 fields, saw 2\\nSkipping line 1299: expected 1 fields, saw 2\\nSkipping line 1300: expected 1 fields, saw 2\\nSkipping line 1301: expected 1 fields, saw 2\\nSkipping line 1302: expected 1 fields, saw 2\\nSkipping line 1303: expected 1 fields, saw 2\\nSkipping line 1304: expected 1 fields, saw 2\\nSkipping line 1305: expected 1 fields, saw 2\\nSkipping line 1306: expected 1 fields, saw 2\\nSkipping line 1307: expected 1 fields, saw 2\\nSkipping line 1308: expected 1 fields, saw 2\\nSkipping line 1309: expected 1 fields, saw 2\\nSkipping line 1310: expected 1 fields, saw 2\\nSkipping line 1311: expected 1 fields, saw 2\\nSkipping line 1312: expected 1 fields, saw 2\\nSkipping line 1313: expected 1 fields, saw 2\\nSkipping line 1314: expected 1 fields, saw 2\\nSkipping line 1315: expected 1 fields, saw 2\\nSkipping line 1316: expected 1 fields, saw 2\\nSkipping line 1317: expected 1 fields, saw 2\\nSkipping line 1318: expected 1 fields, saw 2\\nSkipping line 1319: expected 1 fields, saw 2\\nSkipping line 1320: expected 1 fields, saw 2\\nSkipping line 1321: expected 1 fields, saw 2\\nSkipping line 1322: expected 1 fields, saw 2\\nSkipping line 1323: expected 1 fields, saw 2\\nSkipping line 1324: expected 1 fields, saw 2\\nSkipping line 1325: expected 1 fields, saw 2\\nSkipping line 1326: expected 1 fields, saw 2\\nSkipping line 1327: expected 1 fields, saw 2\\nSkipping line 1328: expected 1 fields, saw 2\\nSkipping line 1329: expected 1 fields, saw 2\\nSkipping line 1330: expected 1 fields, saw 2\\nSkipping line 1331: expected 1 fields, saw 2\\nSkipping line 1332: expected 1 fields, saw 2\\nSkipping line 1333: expected 1 fields, saw 2\\nSkipping line 1334: expected 1 fields, saw 2\\nSkipping line 1335: expected 1 fields, saw 2\\nSkipping line 1336: expected 1 fields, saw 2\\nSkipping line 1337: expected 1 fields, saw 2\\nSkipping line 1338: expected 1 fields, saw 2\\nSkipping line 1339: expected 1 fields, saw 2\\nSkipping line 1340: expected 1 fields, saw 2\\nSkipping line 1341: expected 1 fields, saw 2\\nSkipping line 1342: expected 1 fields, saw 2\\nSkipping line 1343: expected 1 fields, saw 2\\nSkipping line 1344: expected 1 fields, saw 2\\nSkipping line 1345: expected 1 fields, saw 2\\nSkipping line 1346: expected 1 fields, saw 2\\nSkipping line 1347: expected 1 fields, saw 2\\nSkipping line 1348: expected 1 fields, saw 2\\nSkipping line 1349: expected 1 fields, saw 2\\nSkipping line 1350: expected 1 fields, saw 2\\nSkipping line 1351: expected 1 fields, saw 2\\nSkipping line 1352: expected 1 fields, saw 2\\nSkipping line 1353: expected 1 fields, saw 2\\nSkipping line 1354: expected 1 fields, saw 2\\nSkipping line 1355: expected 1 fields, saw 2\\nSkipping line 1356: expected 1 fields, saw 2\\nSkipping line 1357: expected 1 fields, saw 2\\nSkipping line 1358: expected 1 fields, saw 2\\nSkipping line 1359: expected 1 fields, saw 2\\nSkipping line 1360: expected 1 fields, saw 2\\nSkipping line 1361: expected 1 fields, saw 2\\nSkipping line 1362: expected 1 fields, saw 2\\nSkipping line 1363: expected 1 fields, saw 2\\nSkipping line 1364: expected 1 fields, saw 2\\nSkipping line 1365: expected 1 fields, saw 2\\nSkipping line 1366: expected 1 fields, saw 2\\nSkipping line 1367: expected 1 fields, saw 2\\nSkipping line 1368: expected 1 fields, saw 2\\nSkipping line 1369: expected 1 fields, saw 2\\nSkipping line 1370: expected 1 fields, saw 2\\nSkipping line 1371: expected 1 fields, saw 2\\nSkipping line 1372: expected 1 fields, saw 2\\nSkipping line 1373: expected 1 fields, saw 2\\nSkipping line 1374: expected 1 fields, saw 2\\nSkipping line 1375: expected 1 fields, saw 2\\nSkipping line 1376: expected 1 fields, saw 2\\nSkipping line 1377: expected 1 fields, saw 2\\nSkipping line 1378: expected 1 fields, saw 2\\nSkipping line 1379: expected 1 fields, saw 2\\nSkipping line 1380: expected 1 fields, saw 2\\nSkipping line 1381: expected 1 fields, saw 2\\nSkipping line 1382: expected 1 fields, saw 2\\nSkipping line 1383: expected 1 fields, saw 2\\nSkipping line 1384: expected 1 fields, saw 2\\nSkipping line 1385: expected 1 fields, saw 2\\nSkipping line 1386: expected 1 fields, saw 2\\nSkipping line 1387: expected 1 fields, saw 2\\nSkipping line 1388: expected 1 fields, saw 2\\nSkipping line 1389: expected 1 fields, saw 2\\nSkipping line 1390: expected 1 fields, saw 2\\nSkipping line 1391: expected 1 fields, saw 2\\nSkipping line 1392: expected 1 fields, saw 2\\nSkipping line 1393: expected 1 fields, saw 2\\nSkipping line 1394: expected 1 fields, saw 2\\nSkipping line 1395: expected 1 fields, saw 2\\nSkipping line 1396: expected 1 fields, saw 2\\nSkipping line 1397: expected 1 fields, saw 2\\nSkipping line 1398: expected 1 fields, saw 2\\nSkipping line 1399: expected 1 fields, saw 2\\nSkipping line 1400: expected 1 fields, saw 2\\nSkipping line 1401: expected 1 fields, saw 2\\nSkipping line 1402: expected 1 fields, saw 2\\nSkipping line 1403: expected 1 fields, saw 2\\nSkipping line 1404: expected 1 fields, saw 2\\nSkipping line 1405: expected 1 fields, saw 2\\nSkipping line 1406: expected 1 fields, saw 2\\nSkipping line 1407: expected 1 fields, saw 2\\nSkipping line 1408: expected 1 fields, saw 2\\nSkipping line 1409: expected 1 fields, saw 2\\nSkipping line 1410: expected 1 fields, saw 2\\nSkipping line 1411: expected 1 fields, saw 2\\nSkipping line 1412: expected 1 fields, saw 2\\nSkipping line 1413: expected 1 fields, saw 2\\nSkipping line 1414: expected 1 fields, saw 2\\nSkipping line 1415: expected 1 fields, saw 2\\nSkipping line 1416: expected 1 fields, saw 2\\nSkipping line 1417: expected 1 fields, saw 2\\nSkipping line 1418: expected 1 fields, saw 2\\nSkipping line 1419: expected 1 fields, saw 2\\nSkipping line 1420: expected 1 fields, saw 2\\nSkipping line 1421: expected 1 fields, saw 2\\nSkipping line 1422: expected 1 fields, saw 2\\nSkipping line 1423: expected 1 fields, saw 2\\nSkipping line 1424: expected 1 fields, saw 2\\nSkipping line 1425: expected 1 fields, saw 2\\nSkipping line 1426: expected 1 fields, saw 2\\nSkipping line 1427: expected 1 fields, saw 2\\nSkipping line 1428: expected 1 fields, saw 2\\nSkipping line 1429: expected 1 fields, saw 2\\nSkipping line 1430: expected 1 fields, saw 2\\nSkipping line 1431: expected 1 fields, saw 2\\nSkipping line 1432: expected 1 fields, saw 2\\nSkipping line 1433: expected 1 fields, saw 2\\nSkipping line 1434: expected 1 fields, saw 2\\nSkipping line 1435: expected 1 fields, saw 2\\nSkipping line 1436: expected 1 fields, saw 2\\nSkipping line 1437: expected 1 fields, saw 2\\nSkipping line 1438: expected 1 fields, saw 2\\nSkipping line 1439: expected 1 fields, saw 2\\nSkipping line 1440: expected 1 fields, saw 2\\nSkipping line 1441: expected 1 fields, saw 2\\nSkipping line 1442: expected 1 fields, saw 2\\nSkipping line 1443: expected 1 fields, saw 2\\nSkipping line 1444: expected 1 fields, saw 2\\nSkipping line 1445: expected 1 fields, saw 2\\nSkipping line 1446: expected 1 fields, saw 2\\nSkipping line 1447: expected 1 fields, saw 2\\nSkipping line 1448: expected 1 fields, saw 2\\nSkipping line 1449: expected 1 fields, saw 2\\nSkipping line 1450: expected 1 fields, saw 2\\nSkipping line 1451: expected 1 fields, saw 2\\nSkipping line 1452: expected 1 fields, saw 2\\nSkipping line 1453: expected 1 fields, saw 2\\nSkipping line 1454: expected 1 fields, saw 2\\nSkipping line 1455: expected 1 fields, saw 2\\nSkipping line 1456: expected 1 fields, saw 2\\nSkipping line 1457: expected 1 fields, saw 2\\nSkipping line 1458: expected 1 fields, saw 2\\nSkipping line 1459: expected 1 fields, saw 2\\nSkipping line 1460: expected 1 fields, saw 2\\nSkipping line 1461: expected 1 fields, saw 2\\nSkipping line 1462: expected 1 fields, saw 2\\nSkipping line 1463: expected 1 fields, saw 2\\nSkipping line 1464: expected 1 fields, saw 2\\nSkipping line 1465: expected 1 fields, saw 2\\nSkipping line 1466: expected 1 fields, saw 2\\nSkipping line 1467: expected 1 fields, saw 2\\nSkipping line 1468: expected 1 fields, saw 2\\nSkipping line 1469: expected 1 fields, saw 2\\nSkipping line 1470: expected 1 fields, saw 2\\nSkipping line 1471: expected 1 fields, saw 2\\nSkipping line 1472: expected 1 fields, saw 2\\nSkipping line 1473: expected 1 fields, saw 2\\nSkipping line 1474: expected 1 fields, saw 2\\nSkipping line 1475: expected 1 fields, saw 2\\nSkipping line 1476: expected 1 fields, saw 2\\nSkipping line 1477: expected 1 fields, saw 2\\nSkipping line 1478: expected 1 fields, saw 2\\nSkipping line 1479: expected 1 fields, saw 2\\nSkipping line 1480: expected 1 fields, saw 2\\nSkipping line 1481: expected 1 fields, saw 2\\nSkipping line 1482: expected 1 fields, saw 2\\nSkipping line 1483: expected 1 fields, saw 2\\nSkipping line 1484: expected 1 fields, saw 2\\nSkipping line 1485: expected 1 fields, saw 2\\nSkipping line 1486: expected 1 fields, saw 2\\nSkipping line 1487: expected 1 fields, saw 2\\nSkipping line 1488: expected 1 fields, saw 2\\nSkipping line 1489: expected 1 fields, saw 2\\nSkipping line 1490: expected 1 fields, saw 2\\nSkipping line 1491: expected 1 fields, saw 2\\nSkipping line 1492: expected 1 fields, saw 2\\nSkipping line 1493: expected 1 fields, saw 2\\nSkipping line 1494: expected 1 fields, saw 2\\nSkipping line 1495: expected 1 fields, saw 2\\nSkipping line 1496: expected 1 fields, saw 2\\nSkipping line 1497: expected 1 fields, saw 2\\nSkipping line 1498: expected 1 fields, saw 2\\nSkipping line 1499: expected 1 fields, saw 2\\nSkipping line 1500: expected 1 fields, saw 2\\nSkipping line 1501: expected 1 fields, saw 2\\nSkipping line 1502: expected 1 fields, saw 2\\nSkipping line 1503: expected 1 fields, saw 2\\nSkipping line 1504: expected 1 fields, saw 2\\nSkipping line 1505: expected 1 fields, saw 2\\nSkipping line 1506: expected 1 fields, saw 2\\nSkipping line 1507: expected 1 fields, saw 2\\nSkipping line 1508: expected 1 fields, saw 2\\nSkipping line 1509: expected 1 fields, saw 2\\nSkipping line 1510: expected 1 fields, saw 2\\nSkipping line 1511: expected 1 fields, saw 2\\nSkipping line 1512: expected 1 fields, saw 2\\nSkipping line 1513: expected 1 fields, saw 2\\nSkipping line 1514: expected 1 fields, saw 2\\nSkipping line 1515: expected 1 fields, saw 2\\nSkipping line 1516: expected 1 fields, saw 2\\nSkipping line 1517: expected 1 fields, saw 2\\nSkipping line 1518: expected 1 fields, saw 2\\nSkipping line 1519: expected 1 fields, saw 2\\nSkipping line 1520: expected 1 fields, saw 2\\nSkipping line 1521: expected 1 fields, saw 2\\nSkipping line 1522: expected 1 fields, saw 2\\nSkipping line 1523: expected 1 fields, saw 2\\nSkipping line 1524: expected 1 fields, saw 2\\nSkipping line 1525: expected 1 fields, saw 2\\nSkipping line 1526: expected 1 fields, saw 2\\nSkipping line 1527: expected 1 fields, saw 2\\nSkipping line 1528: expected 1 fields, saw 2\\nSkipping line 1529: expected 1 fields, saw 2\\nSkipping line 1530: expected 1 fields, saw 2\\nSkipping line 1531: expected 1 fields, saw 2\\nSkipping line 1532: expected 1 fields, saw 2\\nSkipping line 1533: expected 1 fields, saw 2\\nSkipping line 1534: expected 1 fields, saw 2\\nSkipping line 1535: expected 1 fields, saw 2\\nSkipping line 1536: expected 1 fields, saw 2\\nSkipping line 1537: expected 1 fields, saw 2\\nSkipping line 1538: expected 1 fields, saw 2\\nSkipping line 1539: expected 1 fields, saw 2\\nSkipping line 1540: expected 1 fields, saw 2\\nSkipping line 1541: expected 1 fields, saw 2\\nSkipping line 1542: expected 1 fields, saw 2\\nSkipping line 1543: expected 1 fields, saw 2\\nSkipping line 1544: expected 1 fields, saw 2\\nSkipping line 1545: expected 1 fields, saw 2\\nSkipping line 1546: expected 1 fields, saw 2\\nSkipping line 1547: expected 1 fields, saw 2\\nSkipping line 1548: expected 1 fields, saw 2\\nSkipping line 1549: expected 1 fields, saw 2\\nSkipping line 1550: expected 1 fields, saw 2\\nSkipping line 1551: expected 1 fields, saw 2\\nSkipping line 1552: expected 1 fields, saw 2\\nSkipping line 1553: expected 1 fields, saw 2\\nSkipping line 1554: expected 1 fields, saw 2\\nSkipping line 1555: expected 1 fields, saw 2\\nSkipping line 1556: expected 1 fields, saw 2\\nSkipping line 1557: expected 1 fields, saw 2\\nSkipping line 1558: expected 1 fields, saw 2\\nSkipping line 1559: expected 1 fields, saw 2\\nSkipping line 1560: expected 1 fields, saw 2\\nSkipping line 1561: expected 1 fields, saw 2\\nSkipping line 1562: expected 1 fields, saw 2\\nSkipping line 1563: expected 1 fields, saw 2\\nSkipping line 1564: expected 1 fields, saw 2\\nSkipping line 1565: expected 1 fields, saw 2\\nSkipping line 1566: expected 1 fields, saw 2\\nSkipping line 1567: expected 1 fields, saw 2\\nSkipping line 1568: expected 1 fields, saw 2\\nSkipping line 1569: expected 1 fields, saw 2\\nSkipping line 1570: expected 1 fields, saw 2\\nSkipping line 1571: expected 1 fields, saw 2\\nSkipping line 1572: expected 1 fields, saw 2\\nSkipping line 1573: expected 1 fields, saw 2\\nSkipping line 1574: expected 1 fields, saw 2\\nSkipping line 1575: expected 1 fields, saw 2\\nSkipping line 1576: expected 1 fields, saw 2\\nSkipping line 1577: expected 1 fields, saw 2\\nSkipping line 1578: expected 1 fields, saw 2\\nSkipping line 1579: expected 1 fields, saw 2\\nSkipping line 1580: expected 1 fields, saw 2\\nSkipping line 1581: expected 1 fields, saw 2\\nSkipping line 1582: expected 1 fields, saw 2\\nSkipping line 1583: expected 1 fields, saw 2\\nSkipping line 1584: expected 1 fields, saw 2\\nSkipping line 1585: expected 1 fields, saw 2\\nSkipping line 1586: expected 1 fields, saw 2\\nSkipping line 1587: expected 1 fields, saw 2\\nSkipping line 1588: expected 1 fields, saw 2\\nSkipping line 1589: expected 1 fields, saw 2\\nSkipping line 1590: expected 1 fields, saw 2\\nSkipping line 1591: expected 1 fields, saw 2\\nSkipping line 1592: expected 1 fields, saw 2\\nSkipping line 1593: expected 1 fields, saw 2\\nSkipping line 1594: expected 1 fields, saw 2\\nSkipping line 1595: expected 1 fields, saw 2\\nSkipping line 1596: expected 1 fields, saw 2\\nSkipping line 1597: expected 1 fields, saw 2\\nSkipping line 1598: expected 1 fields, saw 2\\nSkipping line 1599: expected 1 fields, saw 2\\nSkipping line 1600: expected 1 fields, saw 2\\nSkipping line 1601: expected 1 fields, saw 2\\nSkipping line 1602: expected 1 fields, saw 2\\nSkipping line 1603: expected 1 fields, saw 2\\nSkipping line 1604: expected 1 fields, saw 2\\nSkipping line 1605: expected 1 fields, saw 2\\nSkipping line 1606: expected 1 fields, saw 2\\nSkipping line 1607: expected 1 fields, saw 2\\nSkipping line 1608: expected 1 fields, saw 2\\nSkipping line 1609: expected 1 fields, saw 2\\nSkipping line 1610: expected 1 fields, saw 2\\nSkipping line 1611: expected 1 fields, saw 2\\nSkipping line 1612: expected 1 fields, saw 2\\nSkipping line 1613: expected 1 fields, saw 2\\nSkipping line 1614: expected 1 fields, saw 2\\nSkipping line 1615: expected 1 fields, saw 2\\nSkipping line 1616: expected 1 fields, saw 2\\nSkipping line 1617: expected 1 fields, saw 2\\nSkipping line 1618: expected 1 fields, saw 2\\nSkipping line 1619: expected 1 fields, saw 2\\nSkipping line 1620: expected 1 fields, saw 2\\nSkipping line 1621: expected 1 fields, saw 2\\nSkipping line 1622: expected 1 fields, saw 2\\nSkipping line 1623: expected 1 fields, saw 2\\nSkipping line 1624: expected 1 fields, saw 2\\nSkipping line 1625: expected 1 fields, saw 2\\nSkipping line 1626: expected 1 fields, saw 2\\nSkipping line 1627: expected 1 fields, saw 2\\nSkipping line 1628: expected 1 fields, saw 2\\nSkipping line 1629: expected 1 fields, saw 2\\nSkipping line 1630: expected 1 fields, saw 2\\nSkipping line 1631: expected 1 fields, saw 2\\nSkipping line 1632: expected 1 fields, saw 2\\nSkipping line 1633: expected 1 fields, saw 2\\nSkipping line 1634: expected 1 fields, saw 2\\nSkipping line 1635: expected 1 fields, saw 2\\nSkipping line 1636: expected 1 fields, saw 2\\nSkipping line 1637: expected 1 fields, saw 2\\nSkipping line 1638: expected 1 fields, saw 2\\nSkipping line 1639: expected 1 fields, saw 2\\nSkipping line 1640: expected 1 fields, saw 2\\nSkipping line 1641: expected 1 fields, saw 2\\nSkipping line 1642: expected 1 fields, saw 2\\nSkipping line 1643: expected 1 fields, saw 2\\nSkipping line 1644: expected 1 fields, saw 2\\nSkipping line 1645: expected 1 fields, saw 2\\nSkipping line 1646: expected 1 fields, saw 2\\nSkipping line 1647: expected 1 fields, saw 2\\nSkipping line 1648: expected 1 fields, saw 2\\nSkipping line 1649: expected 1 fields, saw 2\\nSkipping line 1650: expected 1 fields, saw 2\\nSkipping line 1651: expected 1 fields, saw 2\\nSkipping line 1652: expected 1 fields, saw 2\\nSkipping line 1653: expected 1 fields, saw 2\\nSkipping line 1654: expected 1 fields, saw 2\\nSkipping line 1655: expected 1 fields, saw 2\\nSkipping line 1656: expected 1 fields, saw 2\\nSkipping line 1657: expected 1 fields, saw 2\\nSkipping line 1658: expected 1 fields, saw 2\\nSkipping line 1659: expected 1 fields, saw 2\\nSkipping line 1660: expected 1 fields, saw 2\\nSkipping line 1661: expected 1 fields, saw 2\\nSkipping line 1662: expected 1 fields, saw 2\\nSkipping line 1663: expected 1 fields, saw 2\\nSkipping line 1664: expected 1 fields, saw 2\\nSkipping line 1665: expected 1 fields, saw 2\\nSkipping line 1666: expected 1 fields, saw 2\\nSkipping line 1667: expected 1 fields, saw 2\\nSkipping line 1668: expected 1 fields, saw 2\\nSkipping line 1669: expected 1 fields, saw 2\\nSkipping line 1670: expected 1 fields, saw 2\\nSkipping line 1671: expected 1 fields, saw 2\\nSkipping line 1672: expected 1 fields, saw 2\\nSkipping line 1673: expected 1 fields, saw 2\\nSkipping line 1674: expected 1 fields, saw 2\\nSkipping line 1675: expected 1 fields, saw 2\\nSkipping line 1676: expected 1 fields, saw 2\\nSkipping line 1677: expected 1 fields, saw 2\\nSkipping line 1678: expected 1 fields, saw 2\\nSkipping line 1679: expected 1 fields, saw 2\\nSkipping line 1680: expected 1 fields, saw 2\\nSkipping line 1681: expected 1 fields, saw 2\\nSkipping line 1682: expected 1 fields, saw 2\\nSkipping line 1683: expected 1 fields, saw 2\\nSkipping line 1684: expected 1 fields, saw 2\\nSkipping line 1685: expected 1 fields, saw 2\\nSkipping line 1686: expected 1 fields, saw 2\\nSkipping line 1687: expected 1 fields, saw 2\\nSkipping line 1688: expected 1 fields, saw 2\\nSkipping line 1689: expected 1 fields, saw 2\\nSkipping line 1690: expected 1 fields, saw 2\\nSkipping line 1691: expected 1 fields, saw 2\\nSkipping line 1692: expected 1 fields, saw 2\\nSkipping line 1693: expected 1 fields, saw 2\\nSkipping line 1694: expected 1 fields, saw 2\\nSkipping line 1695: expected 1 fields, saw 2\\nSkipping line 1696: expected 1 fields, saw 2\\nSkipping line 1697: expected 1 fields, saw 2\\nSkipping line 1698: expected 1 fields, saw 2\\nSkipping line 1699: expected 1 fields, saw 2\\nSkipping line 1700: expected 1 fields, saw 2\\nSkipping line 1701: expected 1 fields, saw 2\\nSkipping line 1702: expected 1 fields, saw 2\\nSkipping line 1703: expected 1 fields, saw 2\\nSkipping line 1704: expected 1 fields, saw 2\\nSkipping line 1705: expected 1 fields, saw 2\\nSkipping line 1706: expected 1 fields, saw 2\\nSkipping line 1707: expected 1 fields, saw 2\\nSkipping line 1708: expected 1 fields, saw 2\\nSkipping line 1709: expected 1 fields, saw 2\\nSkipping line 1710: expected 1 fields, saw 2\\nSkipping line 1711: expected 1 fields, saw 2\\nSkipping line 1712: expected 1 fields, saw 2\\nSkipping line 1713: expected 1 fields, saw 2\\nSkipping line 1714: expected 1 fields, saw 2\\nSkipping line 1715: expected 1 fields, saw 2\\nSkipping line 1716: expected 1 fields, saw 2\\nSkipping line 1717: expected 1 fields, saw 2\\nSkipping line 1718: expected 1 fields, saw 2\\nSkipping line 1719: expected 1 fields, saw 2\\nSkipping line 1720: expected 1 fields, saw 2\\nSkipping line 1721: expected 1 fields, saw 2\\nSkipping line 1722: expected 1 fields, saw 2\\nSkipping line 1723: expected 1 fields, saw 2\\nSkipping line 1724: expected 1 fields, saw 2\\nSkipping line 1725: expected 1 fields, saw 2\\nSkipping line 1726: expected 1 fields, saw 2\\nSkipping line 1727: expected 1 fields, saw 2\\nSkipping line 1728: expected 1 fields, saw 2\\nSkipping line 1729: expected 1 fields, saw 2\\nSkipping line 1730: expected 1 fields, saw 2\\nSkipping line 1731: expected 1 fields, saw 2\\nSkipping line 1732: expected 1 fields, saw 2\\nSkipping line 1733: expected 1 fields, saw 2\\nSkipping line 1734: expected 1 fields, saw 2\\nSkipping line 1735: expected 1 fields, saw 2\\nSkipping line 1736: expected 1 fields, saw 2\\nSkipping line 1737: expected 1 fields, saw 2\\nSkipping line 1738: expected 1 fields, saw 2\\nSkipping line 1739: expected 1 fields, saw 2\\nSkipping line 1740: expected 1 fields, saw 2\\nSkipping line 1741: expected 1 fields, saw 2\\nSkipping line 1742: expected 1 fields, saw 2\\nSkipping line 1743: expected 1 fields, saw 2\\nSkipping line 1744: expected 1 fields, saw 2\\nSkipping line 1745: expected 1 fields, saw 2\\nSkipping line 1746: expected 1 fields, saw 2\\nSkipping line 1747: expected 1 fields, saw 2\\nSkipping line 1748: expected 1 fields, saw 2\\nSkipping line 1749: expected 1 fields, saw 2\\nSkipping line 1750: expected 1 fields, saw 2\\nSkipping line 1751: expected 1 fields, saw 2\\nSkipping line 1752: expected 1 fields, saw 2\\nSkipping line 1753: expected 1 fields, saw 2\\nSkipping line 1754: expected 1 fields, saw 2\\nSkipping line 1755: expected 1 fields, saw 2\\nSkipping line 1756: expected 1 fields, saw 2\\nSkipping line 1757: expected 1 fields, saw 2\\nSkipping line 1758: expected 1 fields, saw 2\\nSkipping line 1759: expected 1 fields, saw 2\\nSkipping line 1760: expected 1 fields, saw 2\\nSkipping line 1761: expected 1 fields, saw 2\\nSkipping line 1762: expected 1 fields, saw 2\\nSkipping line 1763: expected 1 fields, saw 2\\nSkipping line 1764: expected 1 fields, saw 2\\nSkipping line 1765: expected 1 fields, saw 2\\nSkipping line 1766: expected 1 fields, saw 2\\nSkipping line 1767: expected 1 fields, saw 2\\nSkipping line 1768: expected 1 fields, saw 2\\nSkipping line 1769: expected 1 fields, saw 2\\nSkipping line 1770: expected 1 fields, saw 2\\nSkipping line 1771: expected 1 fields, saw 2\\nSkipping line 1772: expected 1 fields, saw 2\\nSkipping line 1773: expected 1 fields, saw 2\\nSkipping line 1774: expected 1 fields, saw 2\\nSkipping line 1775: expected 1 fields, saw 2\\nSkipping line 1776: expected 1 fields, saw 2\\nSkipping line 1777: expected 1 fields, saw 2\\nSkipping line 1778: expected 1 fields, saw 2\\nSkipping line 1779: expected 1 fields, saw 2\\nSkipping line 1780: expected 1 fields, saw 2\\nSkipping line 1781: expected 1 fields, saw 2\\nSkipping line 1782: expected 1 fields, saw 2\\nSkipping line 1783: expected 1 fields, saw 2\\nSkipping line 1784: expected 1 fields, saw 2\\nSkipping line 1785: expected 1 fields, saw 2\\nSkipping line 1786: expected 1 fields, saw 2\\nSkipping line 1787: expected 1 fields, saw 2\\nSkipping line 1788: expected 1 fields, saw 2\\nSkipping line 1789: expected 1 fields, saw 2\\nSkipping line 1790: expected 1 fields, saw 2\\nSkipping line 1791: expected 1 fields, saw 2\\nSkipping line 1792: expected 1 fields, saw 2\\nSkipping line 1793: expected 1 fields, saw 2\\nSkipping line 1794: expected 1 fields, saw 2\\nSkipping line 1795: expected 1 fields, saw 2\\nSkipping line 1796: expected 1 fields, saw 2\\nSkipping line 1797: expected 1 fields, saw 2\\nSkipping line 1798: expected 1 fields, saw 2\\nSkipping line 1799: expected 1 fields, saw 2\\nSkipping line 1800: expected 1 fields, saw 2\\nSkipping line 1801: expected 1 fields, saw 2\\nSkipping line 1802: expected 1 fields, saw 2\\nSkipping line 1803: expected 1 fields, saw 2\\nSkipping line 1804: expected 1 fields, saw 2\\nSkipping line 1805: expected 1 fields, saw 2\\nSkipping line 1806: expected 1 fields, saw 2\\nSkipping line 1807: expected 1 fields, saw 2\\nSkipping line 1808: expected 1 fields, saw 2\\nSkipping line 1809: expected 1 fields, saw 2\\nSkipping line 1810: expected 1 fields, saw 2\\nSkipping line 1811: expected 1 fields, saw 2\\nSkipping line 1812: expected 1 fields, saw 2\\nSkipping line 1813: expected 1 fields, saw 2\\nSkipping line 1814: expected 1 fields, saw 2\\nSkipping line 1815: expected 1 fields, saw 2\\nSkipping line 1816: expected 1 fields, saw 2\\nSkipping line 1817: expected 1 fields, saw 2\\nSkipping line 1818: expected 1 fields, saw 2\\nSkipping line 1819: expected 1 fields, saw 2\\nSkipping line 1820: expected 1 fields, saw 2\\nSkipping line 1821: expected 1 fields, saw 2\\nSkipping line 1822: expected 1 fields, saw 2\\nSkipping line 1823: expected 1 fields, saw 2\\nSkipping line 1824: expected 1 fields, saw 2\\nSkipping line 1825: expected 1 fields, saw 2\\nSkipping line 1826: expected 1 fields, saw 2\\nSkipping line 1827: expected 1 fields, saw 2\\nSkipping line 1828: expected 1 fields, saw 2\\nSkipping line 1829: expected 1 fields, saw 2\\nSkipping line 1830: expected 1 fields, saw 2\\nSkipping line 1831: expected 1 fields, saw 2\\nSkipping line 1832: expected 1 fields, saw 2\\nSkipping line 1833: expected 1 fields, saw 2\\nSkipping line 1834: expected 1 fields, saw 2\\nSkipping line 1835: expected 1 fields, saw 2\\nSkipping line 1836: expected 1 fields, saw 2\\nSkipping line 1837: expected 1 fields, saw 2\\nSkipping line 1838: expected 1 fields, saw 2\\nSkipping line 1839: expected 1 fields, saw 2\\nSkipping line 1840: expected 1 fields, saw 2\\nSkipping line 1841: expected 1 fields, saw 2\\nSkipping line 1842: expected 1 fields, saw 2\\nSkipping line 1843: expected 1 fields, saw 2\\nSkipping line 1844: expected 1 fields, saw 2\\nSkipping line 1845: expected 1 fields, saw 2\\nSkipping line 1846: expected 1 fields, saw 2\\nSkipping line 1847: expected 1 fields, saw 2\\nSkipping line 1848: expected 1 fields, saw 2\\nSkipping line 1849: expected 1 fields, saw 2\\nSkipping line 1850: expected 1 fields, saw 2\\nSkipping line 1851: expected 1 fields, saw 2\\nSkipping line 1852: expected 1 fields, saw 2\\nSkipping line 1853: expected 1 fields, saw 2\\nSkipping line 1854: expected 1 fields, saw 2\\nSkipping line 1855: expected 1 fields, saw 2\\nSkipping line 1856: expected 1 fields, saw 2\\nSkipping line 1857: expected 1 fields, saw 2\\nSkipping line 1858: expected 1 fields, saw 2\\nSkipping line 1859: expected 1 fields, saw 2\\nSkipping line 1860: expected 1 fields, saw 2\\nSkipping line 1861: expected 1 fields, saw 2\\nSkipping line 1862: expected 1 fields, saw 2\\nSkipping line 1863: expected 1 fields, saw 2\\nSkipping line 1864: expected 1 fields, saw 2\\nSkipping line 1865: expected 1 fields, saw 2\\nSkipping line 1866: expected 1 fields, saw 2\\nSkipping line 1867: expected 1 fields, saw 2\\nSkipping line 1868: expected 1 fields, saw 2\\nSkipping line 1869: expected 1 fields, saw 2\\nSkipping line 1870: expected 1 fields, saw 2\\nSkipping line 1871: expected 1 fields, saw 2\\nSkipping line 1872: expected 1 fields, saw 2\\nSkipping line 1873: expected 1 fields, saw 2\\nSkipping line 1874: expected 1 fields, saw 2\\nSkipping line 1875: expected 1 fields, saw 2\\nSkipping line 1876: expected 1 fields, saw 2\\nSkipping line 1877: expected 1 fields, saw 2\\nSkipping line 1878: expected 1 fields, saw 2\\nSkipping line 1879: expected 1 fields, saw 2\\nSkipping line 1880: expected 1 fields, saw 2\\nSkipping line 1881: expected 1 fields, saw 2\\nSkipping line 1882: expected 1 fields, saw 2\\nSkipping line 1883: expected 1 fields, saw 2\\nSkipping line 1884: expected 1 fields, saw 2\\nSkipping line 1885: expected 1 fields, saw 2\\nSkipping line 1886: expected 1 fields, saw 2\\nSkipping line 1887: expected 1 fields, saw 2\\nSkipping line 1888: expected 1 fields, saw 2\\nSkipping line 1889: expected 1 fields, saw 2\\nSkipping line 1890: expected 1 fields, saw 2\\nSkipping line 1891: expected 1 fields, saw 2\\nSkipping line 1892: expected 1 fields, saw 2\\nSkipping line 1893: expected 1 fields, saw 2\\nSkipping line 1894: expected 1 fields, saw 2\\nSkipping line 1895: expected 1 fields, saw 2\\nSkipping line 1896: expected 1 fields, saw 2\\nSkipping line 1897: expected 1 fields, saw 2\\nSkipping line 1898: expected 1 fields, saw 2\\nSkipping line 1899: expected 1 fields, saw 2\\nSkipping line 1900: expected 1 fields, saw 2\\nSkipping line 1901: expected 1 fields, saw 2\\nSkipping line 1902: expected 1 fields, saw 2\\nSkipping line 1903: expected 1 fields, saw 2\\nSkipping line 1904: expected 1 fields, saw 2\\nSkipping line 1905: expected 1 fields, saw 2\\nSkipping line 1906: expected 1 fields, saw 2\\nSkipping line 1907: expected 1 fields, saw 2\\nSkipping line 1908: expected 1 fields, saw 2\\nSkipping line 1909: expected 1 fields, saw 2\\nSkipping line 1910: expected 1 fields, saw 2\\nSkipping line 1911: expected 1 fields, saw 2\\nSkipping line 1912: expected 1 fields, saw 2\\nSkipping line 1913: expected 1 fields, saw 2\\nSkipping line 1914: expected 1 fields, saw 2\\nSkipping line 1915: expected 1 fields, saw 2\\nSkipping line 1916: expected 1 fields, saw 2\\nSkipping line 1917: expected 1 fields, saw 2\\nSkipping line 1918: expected 1 fields, saw 2\\nSkipping line 1919: expected 1 fields, saw 2\\nSkipping line 1920: expected 1 fields, saw 2\\nSkipping line 1921: expected 1 fields, saw 2\\nSkipping line 1922: expected 1 fields, saw 2\\nSkipping line 1923: expected 1 fields, saw 2\\nSkipping line 1924: expected 1 fields, saw 2\\nSkipping line 1925: expected 1 fields, saw 2\\nSkipping line 1926: expected 1 fields, saw 2\\nSkipping line 1927: expected 1 fields, saw 2\\nSkipping line 1928: expected 1 fields, saw 2\\nSkipping line 1929: expected 1 fields, saw 2\\nSkipping line 1930: expected 1 fields, saw 2\\nSkipping line 1931: expected 1 fields, saw 2\\nSkipping line 1932: expected 1 fields, saw 2\\nSkipping line 1933: expected 1 fields, saw 2\\nSkipping line 1934: expected 1 fields, saw 2\\nSkipping line 1935: expected 1 fields, saw 2\\nSkipping line 1936: expected 1 fields, saw 2\\nSkipping line 1937: expected 1 fields, saw 2\\nSkipping line 1938: expected 1 fields, saw 2\\nSkipping line 1939: expected 1 fields, saw 2\\nSkipping line 1940: expected 1 fields, saw 2\\nSkipping line 1941: expected 1 fields, saw 2\\nSkipping line 1942: expected 1 fields, saw 2\\nSkipping line 1943: expected 1 fields, saw 2\\nSkipping line 1944: expected 1 fields, saw 2\\nSkipping line 1945: expected 1 fields, saw 2\\nSkipping line 1946: expected 1 fields, saw 2\\nSkipping line 1947: expected 1 fields, saw 2\\nSkipping line 1948: expected 1 fields, saw 2\\nSkipping line 1949: expected 1 fields, saw 2\\nSkipping line 1950: expected 1 fields, saw 2\\nSkipping line 1951: expected 1 fields, saw 2\\nSkipping line 1952: expected 1 fields, saw 2\\nSkipping line 1953: expected 1 fields, saw 2\\nSkipping line 1954: expected 1 fields, saw 2\\nSkipping line 1955: expected 1 fields, saw 2\\nSkipping line 1956: expected 1 fields, saw 2\\nSkipping line 1957: expected 1 fields, saw 2\\nSkipping line 1958: expected 1 fields, saw 2\\nSkipping line 1959: expected 1 fields, saw 2\\nSkipping line 1960: expected 1 fields, saw 2\\nSkipping line 1961: expected 1 fields, saw 2\\nSkipping line 1962: expected 1 fields, saw 2\\nSkipping line 1963: expected 1 fields, saw 2\\nSkipping line 1964: expected 1 fields, saw 2\\nSkipping line 1965: expected 1 fields, saw 2\\nSkipping line 1966: expected 1 fields, saw 2\\nSkipping line 1967: expected 1 fields, saw 2\\nSkipping line 1968: expected 1 fields, saw 2\\nSkipping line 1969: expected 1 fields, saw 2\\nSkipping line 1970: expected 1 fields, saw 2\\nSkipping line 1971: expected 1 fields, saw 2\\nSkipping line 1972: expected 1 fields, saw 2\\nSkipping line 1973: expected 1 fields, saw 2\\nSkipping line 1974: expected 1 fields, saw 2\\nSkipping line 1975: expected 1 fields, saw 2\\nSkipping line 1976: expected 1 fields, saw 2\\nSkipping line 1977: expected 1 fields, saw 2\\nSkipping line 1978: expected 1 fields, saw 2\\nSkipping line 1979: expected 1 fields, saw 2\\nSkipping line 1980: expected 1 fields, saw 2\\nSkipping line 1981: expected 1 fields, saw 2\\nSkipping line 1982: expected 1 fields, saw 2\\nSkipping line 1983: expected 1 fields, saw 2\\nSkipping line 1984: expected 1 fields, saw 2\\nSkipping line 1985: expected 1 fields, saw 2\\nSkipping line 1986: expected 1 fields, saw 2\\nSkipping line 1987: expected 1 fields, saw 2\\nSkipping line 1988: expected 1 fields, saw 2\\nSkipping line 1989: expected 1 fields, saw 2\\nSkipping line 1990: expected 1 fields, saw 2\\nSkipping line 1991: expected 1 fields, saw 2\\nSkipping line 1992: expected 1 fields, saw 2\\nSkipping line 1993: expected 1 fields, saw 2\\nSkipping line 1994: expected 1 fields, saw 2\\nSkipping line 1995: expected 1 fields, saw 2\\nSkipping line 1996: expected 1 fields, saw 2\\nSkipping line 1997: expected 1 fields, saw 2\\nSkipping line 1998: expected 1 fields, saw 2\\nSkipping line 1999: expected 1 fields, saw 2\\nSkipping line 2000: expected 1 fields, saw 2\\nSkipping line 2001: expected 1 fields, saw 2\\nSkipping line 2002: expected 1 fields, saw 2\\nSkipping line 2003: expected 1 fields, saw 2\\nSkipping line 2004: expected 1 fields, saw 2\\nSkipping line 2005: expected 1 fields, saw 2\\nSkipping line 2006: expected 1 fields, saw 2\\nSkipping line 2007: expected 1 fields, saw 2\\nSkipping line 2008: expected 1 fields, saw 2\\nSkipping line 2009: expected 1 fields, saw 2\\nSkipping line 2010: expected 1 fields, saw 2\\nSkipping line 2011: expected 1 fields, saw 2\\nSkipping line 2012: expected 1 fields, saw 2\\nSkipping line 2013: expected 1 fields, saw 2\\nSkipping line 2014: expected 1 fields, saw 2\\nSkipping line 2015: expected 1 fields, saw 2\\nSkipping line 2016: expected 1 fields, saw 2\\nSkipping line 2017: expected 1 fields, saw 2\\nSkipping line 2018: expected 1 fields, saw 2\\nSkipping line 2019: expected 1 fields, saw 2\\nSkipping line 2020: expected 1 fields, saw 2\\nSkipping line 2021: expected 1 fields, saw 2\\nSkipping line 2022: expected 1 fields, saw 2\\nSkipping line 2023: expected 1 fields, saw 2\\nSkipping line 2024: expected 1 fields, saw 2\\nSkipping line 2025: expected 1 fields, saw 2\\nSkipping line 2026: expected 1 fields, saw 2\\nSkipping line 2027: expected 1 fields, saw 2\\nSkipping line 2028: expected 1 fields, saw 2\\nSkipping line 2029: expected 1 fields, saw 2\\nSkipping line 2030: expected 1 fields, saw 2\\nSkipping line 2031: expected 1 fields, saw 2\\nSkipping line 2032: expected 1 fields, saw 2\\nSkipping line 2033: expected 1 fields, saw 2\\nSkipping line 2034: expected 1 fields, saw 2\\nSkipping line 2035: expected 1 fields, saw 2\\nSkipping line 2036: expected 1 fields, saw 2\\nSkipping line 2037: expected 1 fields, saw 2\\nSkipping line 2038: expected 1 fields, saw 2\\nSkipping line 2039: expected 1 fields, saw 2\\nSkipping line 2040: expected 1 fields, saw 2\\nSkipping line 2041: expected 1 fields, saw 2\\nSkipping line 2042: expected 1 fields, saw 2\\nSkipping line 2043: expected 1 fields, saw 2\\nSkipping line 2044: expected 1 fields, saw 2\\nSkipping line 2045: expected 1 fields, saw 2\\nSkipping line 2046: expected 1 fields, saw 2\\nSkipping line 2047: expected 1 fields, saw 2\\nSkipping line 2048: expected 1 fields, saw 2\\nSkipping line 2049: expected 1 fields, saw 2\\nSkipping line 2050: expected 1 fields, saw 2\\nSkipping line 2051: expected 1 fields, saw 2\\nSkipping line 2052: expected 1 fields, saw 2\\nSkipping line 2053: expected 1 fields, saw 2\\nSkipping line 2054: expected 1 fields, saw 2\\nSkipping line 2055: expected 1 fields, saw 2\\nSkipping line 2056: expected 1 fields, saw 2\\nSkipping line 2057: expected 1 fields, saw 2\\nSkipping line 2058: expected 1 fields, saw 2\\nSkipping line 2059: expected 1 fields, saw 2\\nSkipping line 2060: expected 1 fields, saw 2\\nSkipping line 2061: expected 1 fields, saw 2\\nSkipping line 2062: expected 1 fields, saw 2\\nSkipping line 2063: expected 1 fields, saw 2\\nSkipping line 2064: expected 1 fields, saw 2\\nSkipping line 2065: expected 1 fields, saw 2\\nSkipping line 2066: expected 1 fields, saw 2\\nSkipping line 2067: expected 1 fields, saw 2\\nSkipping line 2068: expected 1 fields, saw 2\\nSkipping line 2069: expected 1 fields, saw 2\\nSkipping line 2070: expected 1 fields, saw 2\\nSkipping line 2071: expected 1 fields, saw 2\\nSkipping line 2072: expected 1 fields, saw 2\\nSkipping line 2073: expected 1 fields, saw 2\\nSkipping line 2074: expected 1 fields, saw 2\\nSkipping line 2075: expected 1 fields, saw 2\\nSkipping line 2076: expected 1 fields, saw 2\\nSkipping line 2077: expected 1 fields, saw 2\\nSkipping line 2078: expected 1 fields, saw 2\\nSkipping line 2079: expected 1 fields, saw 2\\nSkipping line 2080: expected 1 fields, saw 2\\nSkipping line 2081: expected 1 fields, saw 2\\nSkipping line 2082: expected 1 fields, saw 2\\nSkipping line 2083: expected 1 fields, saw 2\\nSkipping line 2084: expected 1 fields, saw 2\\nSkipping line 2085: expected 1 fields, saw 2\\nSkipping line 2086: expected 1 fields, saw 2\\nSkipping line 2087: expected 1 fields, saw 2\\nSkipping line 2088: expected 1 fields, saw 2\\nSkipping line 2089: expected 1 fields, saw 2\\nSkipping line 2090: expected 1 fields, saw 2\\nSkipping line 2091: expected 1 fields, saw 2\\nSkipping line 2092: expected 1 fields, saw 2\\nSkipping line 2093: expected 1 fields, saw 2\\nSkipping line 2094: expected 1 fields, saw 2\\nSkipping line 2095: expected 1 fields, saw 2\\nSkipping line 2096: expected 1 fields, saw 2\\nSkipping line 2097: expected 1 fields, saw 2\\nSkipping line 2098: expected 1 fields, saw 2\\nSkipping line 2099: expected 1 fields, saw 2\\nSkipping line 2100: expected 1 fields, saw 2\\nSkipping line 2101: expected 1 fields, saw 2\\nSkipping line 2102: expected 1 fields, saw 2\\nSkipping line 2103: expected 1 fields, saw 2\\nSkipping line 2104: expected 1 fields, saw 2\\nSkipping line 2105: expected 1 fields, saw 2\\nSkipping line 2106: expected 1 fields, saw 2\\nSkipping line 2107: expected 1 fields, saw 2\\nSkipping line 2108: expected 1 fields, saw 2\\nSkipping line 2109: expected 1 fields, saw 2\\nSkipping line 2110: expected 1 fields, saw 2\\nSkipping line 2111: expected 1 fields, saw 2\\nSkipping line 2112: expected 1 fields, saw 2\\nSkipping line 2113: expected 1 fields, saw 2\\nSkipping line 2114: expected 1 fields, saw 2\\nSkipping line 2115: expected 1 fields, saw 2\\nSkipping line 2116: expected 1 fields, saw 2\\nSkipping line 2117: expected 1 fields, saw 2\\nSkipping line 2118: expected 1 fields, saw 2\\nSkipping line 2119: expected 1 fields, saw 2\\nSkipping line 2120: expected 1 fields, saw 2\\nSkipping line 2121: expected 1 fields, saw 2\\nSkipping line 2122: expected 1 fields, saw 2\\nSkipping line 2123: expected 1 fields, saw 2\\nSkipping line 2124: expected 1 fields, saw 2\\nSkipping line 2125: expected 1 fields, saw 2\\nSkipping line 2126: expected 1 fields, saw 2\\nSkipping line 2127: expected 1 fields, saw 2\\nSkipping line 2128: expected 1 fields, saw 2\\nSkipping line 2129: expected 1 fields, saw 2\\nSkipping line 2130: expected 1 fields, saw 2\\nSkipping line 2131: expected 1 fields, saw 2\\nSkipping line 2132: expected 1 fields, saw 2\\nSkipping line 2133: expected 1 fields, saw 2\\nSkipping line 2134: expected 1 fields, saw 2\\nSkipping line 2135: expected 1 fields, saw 2\\nSkipping line 2136: expected 1 fields, saw 2\\nSkipping line 2137: expected 1 fields, saw 2\\nSkipping line 2138: expected 1 fields, saw 2\\nSkipping line 2139: expected 1 fields, saw 2\\nSkipping line 2140: expected 1 fields, saw 2\\nSkipping line 2141: expected 1 fields, saw 2\\nSkipping line 2142: expected 1 fields, saw 2\\nSkipping line 2143: expected 1 fields, saw 2\\nSkipping line 2144: expected 1 fields, saw 2\\nSkipping line 2145: expected 1 fields, saw 2\\nSkipping line 2146: expected 1 fields, saw 2\\nSkipping line 2147: expected 1 fields, saw 2\\nSkipping line 2148: expected 1 fields, saw 2\\nSkipping line 2149: expected 1 fields, saw 2\\nSkipping line 2150: expected 1 fields, saw 2\\nSkipping line 2151: expected 1 fields, saw 2\\nSkipping line 2152: expected 1 fields, saw 2\\nSkipping line 2153: expected 1 fields, saw 2\\nSkipping line 2154: expected 1 fields, saw 2\\nSkipping line 2155: expected 1 fields, saw 2\\nSkipping line 2156: expected 1 fields, saw 2\\nSkipping line 2157: expected 1 fields, saw 2\\nSkipping line 2158: expected 1 fields, saw 2\\nSkipping line 2159: expected 1 fields, saw 2\\nSkipping line 2160: expected 1 fields, saw 2\\nSkipping line 2161: expected 1 fields, saw 2\\nSkipping line 2162: expected 1 fields, saw 2\\nSkipping line 2163: expected 1 fields, saw 2\\nSkipping line 2164: expected 1 fields, saw 2\\nSkipping line 2165: expected 1 fields, saw 2\\nSkipping line 2166: expected 1 fields, saw 2\\nSkipping line 2167: expected 1 fields, saw 2\\nSkipping line 2168: expected 1 fields, saw 2\\nSkipping line 2169: expected 1 fields, saw 2\\nSkipping line 2170: expected 1 fields, saw 2\\nSkipping line 2171: expected 1 fields, saw 2\\nSkipping line 2172: expected 1 fields, saw 2\\nSkipping line 2173: expected 1 fields, saw 2\\nSkipping line 2174: expected 1 fields, saw 2\\nSkipping line 2175: expected 1 fields, saw 2\\nSkipping line 2176: expected 1 fields, saw 2\\nSkipping line 2177: expected 1 fields, saw 2\\nSkipping line 2178: expected 1 fields, saw 2\\nSkipping line 2179: expected 1 fields, saw 2\\nSkipping line 2180: expected 1 fields, saw 2\\nSkipping line 2181: expected 1 fields, saw 2\\nSkipping line 2182: expected 1 fields, saw 2\\nSkipping line 2183: expected 1 fields, saw 2\\nSkipping line 2184: expected 1 fields, saw 2\\nSkipping line 2185: expected 1 fields, saw 2\\nSkipping line 2186: expected 1 fields, saw 2\\nSkipping line 2187: expected 1 fields, saw 2\\nSkipping line 2188: expected 1 fields, saw 2\\nSkipping line 2189: expected 1 fields, saw 2\\nSkipping line 2190: expected 1 fields, saw 2\\nSkipping line 2191: expected 1 fields, saw 2\\nSkipping line 2192: expected 1 fields, saw 2\\nSkipping line 2193: expected 1 fields, saw 2\\nSkipping line 2194: expected 1 fields, saw 2\\nSkipping line 2195: expected 1 fields, saw 2\\nSkipping line 2196: expected 1 fields, saw 2\\nSkipping line 2197: expected 1 fields, saw 2\\nSkipping line 2198: expected 1 fields, saw 2\\nSkipping line 2199: expected 1 fields, saw 2\\nSkipping line 2200: expected 1 fields, saw 2\\nSkipping line 2201: expected 1 fields, saw 2\\nSkipping line 2202: expected 1 fields, saw 2\\nSkipping line 2203: expected 1 fields, saw 2\\nSkipping line 2204: expected 1 fields, saw 2\\nSkipping line 2205: expected 1 fields, saw 2\\nSkipping line 2206: expected 1 fields, saw 2\\nSkipping line 2207: expected 1 fields, saw 2\\nSkipping line 2208: expected 1 fields, saw 2\\nSkipping line 2209: expected 1 fields, saw 2\\nSkipping line 2210: expected 1 fields, saw 2\\nSkipping line 2211: expected 1 fields, saw 2\\nSkipping line 2212: expected 1 fields, saw 2\\nSkipping line 2213: expected 1 fields, saw 2\\nSkipping line 2214: expected 1 fields, saw 2\\nSkipping line 2215: expected 1 fields, saw 2\\nSkipping line 2216: expected 1 fields, saw 2\\nSkipping line 2217: expected 1 fields, saw 2\\nSkipping line 2218: expected 1 fields, saw 2\\nSkipping line 2219: expected 1 fields, saw 2\\nSkipping line 2220: expected 1 fields, saw 2\\nSkipping line 2221: expected 1 fields, saw 2\\nSkipping line 2222: expected 1 fields, saw 2\\nSkipping line 2223: expected 1 fields, saw 2\\nSkipping line 2224: expected 1 fields, saw 2\\nSkipping line 2225: expected 1 fields, saw 2\\nSkipping line 2226: expected 1 fields, saw 2\\nSkipping line 2227: expected 1 fields, saw 2\\nSkipping line 2228: expected 1 fields, saw 2\\nSkipping line 2229: expected 1 fields, saw 2\\nSkipping line 2230: expected 1 fields, saw 2\\nSkipping line 2231: expected 1 fields, saw 2\\nSkipping line 2232: expected 1 fields, saw 2\\nSkipping line 2233: expected 1 fields, saw 2\\nSkipping line 2234: expected 1 fields, saw 2\\nSkipping line 2235: expected 1 fields, saw 2\\nSkipping line 2236: expected 1 fields, saw 2\\nSkipping line 2237: expected 1 fields, saw 2\\nSkipping line 2238: expected 1 fields, saw 2\\nSkipping line 2239: expected 1 fields, saw 2\\nSkipping line 2240: expected 1 fields, saw 2\\nSkipping line 2241: expected 1 fields, saw 2\\nSkipping line 2242: expected 1 fields, saw 2\\nSkipping line 2243: expected 1 fields, saw 2\\nSkipping line 2244: expected 1 fields, saw 2\\nSkipping line 2245: expected 1 fields, saw 2\\nSkipping line 2246: expected 1 fields, saw 2\\nSkipping line 2247: expected 1 fields, saw 2\\nSkipping line 2248: expected 1 fields, saw 2\\nSkipping line 2249: expected 1 fields, saw 2\\nSkipping line 2250: expected 1 fields, saw 2\\nSkipping line 2251: expected 1 fields, saw 2\\nSkipping line 2252: expected 1 fields, saw 2\\nSkipping line 2253: expected 1 fields, saw 2\\nSkipping line 2254: expected 1 fields, saw 2\\nSkipping line 2255: expected 1 fields, saw 2\\nSkipping line 2256: expected 1 fields, saw 2\\nSkipping line 2257: expected 1 fields, saw 2\\nSkipping line 2258: expected 1 fields, saw 2\\nSkipping line 2259: expected 1 fields, saw 2\\nSkipping line 2260: expected 1 fields, saw 2\\nSkipping line 2261: expected 1 fields, saw 2\\nSkipping line 2262: expected 1 fields, saw 2\\nSkipping line 2263: expected 1 fields, saw 2\\nSkipping line 2264: expected 1 fields, saw 2\\nSkipping line 2265: expected 1 fields, saw 2\\nSkipping line 2266: expected 1 fields, saw 2\\nSkipping line 2267: expected 1 fields, saw 2\\nSkipping line 2268: expected 1 fields, saw 2\\nSkipping line 2269: expected 1 fields, saw 2\\nSkipping line 2270: expected 1 fields, saw 2\\nSkipping line 2271: expected 1 fields, saw 2\\nSkipping line 2272: expected 1 fields, saw 2\\nSkipping line 2273: expected 1 fields, saw 2\\nSkipping line 2274: expected 1 fields, saw 2\\nSkipping line 2275: expected 1 fields, saw 2\\nSkipping line 2276: expected 1 fields, saw 2\\nSkipping line 2277: expected 1 fields, saw 2\\nSkipping line 2278: expected 1 fields, saw 2\\nSkipping line 2279: expected 1 fields, saw 2\\nSkipping line 2280: expected 1 fields, saw 2\\nSkipping line 2281: expected 1 fields, saw 2\\nSkipping line 2282: expected 1 fields, saw 2\\nSkipping line 2283: expected 1 fields, saw 2\\nSkipping line 2284: expected 1 fields, saw 2\\nSkipping line 2285: expected 1 fields, saw 2\\nSkipping line 2286: expected 1 fields, saw 2\\nSkipping line 2287: expected 1 fields, saw 2\\nSkipping line 2288: expected 1 fields, saw 2\\nSkipping line 2289: expected 1 fields, saw 2\\nSkipping line 2290: expected 1 fields, saw 2\\nSkipping line 2291: expected 1 fields, saw 2\\nSkipping line 2292: expected 1 fields, saw 2\\nSkipping line 2293: expected 1 fields, saw 2\\nSkipping line 2294: expected 1 fields, saw 2\\nSkipping line 2295: expected 1 fields, saw 2\\nSkipping line 2296: expected 1 fields, saw 2\\nSkipping line 2297: expected 1 fields, saw 2\\nSkipping line 2298: expected 1 fields, saw 2\\nSkipping line 2299: expected 1 fields, saw 2\\nSkipping line 2300: expected 1 fields, saw 2\\nSkipping line 2301: expected 1 fields, saw 2\\nSkipping line 2302: expected 1 fields, saw 2\\nSkipping line 2303: expected 1 fields, saw 2\\nSkipping line 2304: expected 1 fields, saw 2\\nSkipping line 2305: expected 1 fields, saw 2\\nSkipping line 2306: expected 1 fields, saw 2\\nSkipping line 2307: expected 1 fields, saw 2\\nSkipping line 2308: expected 1 fields, saw 2\\nSkipping line 2309: expected 1 fields, saw 2\\nSkipping line 2310: expected 1 fields, saw 2\\nSkipping line 2311: expected 1 fields, saw 2\\nSkipping line 2312: expected 1 fields, saw 2\\nSkipping line 2313: expected 1 fields, saw 2\\nSkipping line 2314: expected 1 fields, saw 2\\nSkipping line 2315: expected 1 fields, saw 2\\nSkipping line 2316: expected 1 fields, saw 2\\nSkipping line 2317: expected 1 fields, saw 2\\nSkipping line 2318: expected 1 fields, saw 2\\nSkipping line 2319: expected 1 fields, saw 2\\nSkipping line 2320: expected 1 fields, saw 2\\nSkipping line 2321: expected 1 fields, saw 2\\nSkipping line 2322: expected 1 fields, saw 2\\nSkipping line 2323: expected 1 fields, saw 2\\nSkipping line 2324: expected 1 fields, saw 2\\nSkipping line 2325: expected 1 fields, saw 2\\nSkipping line 2326: expected 1 fields, saw 2\\nSkipping line 2327: expected 1 fields, saw 2\\nSkipping line 2328: expected 1 fields, saw 2\\nSkipping line 2329: expected 1 fields, saw 2\\nSkipping line 2330: expected 1 fields, saw 2\\nSkipping line 2331: expected 1 fields, saw 2\\nSkipping line 2332: expected 1 fields, saw 2\\nSkipping line 2333: expected 1 fields, saw 2\\nSkipping line 2334: expected 1 fields, saw 2\\nSkipping line 2335: expected 1 fields, saw 2\\nSkipping line 2336: expected 1 fields, saw 2\\nSkipping line 2337: expected 1 fields, saw 2\\nSkipping line 2338: expected 1 fields, saw 2\\nSkipping line 2339: expected 1 fields, saw 2\\nSkipping line 2340: expected 1 fields, saw 2\\nSkipping line 2341: expected 1 fields, saw 2\\nSkipping line 2342: expected 1 fields, saw 2\\nSkipping line 2343: expected 1 fields, saw 2\\nSkipping line 2344: expected 1 fields, saw 2\\nSkipping line 2345: expected 1 fields, saw 2\\nSkipping line 2346: expected 1 fields, saw 2\\nSkipping line 2347: expected 1 fields, saw 2\\nSkipping line 2348: expected 1 fields, saw 2\\nSkipping line 2349: expected 1 fields, saw 2\\nSkipping line 2350: expected 1 fields, saw 2\\nSkipping line 2351: expected 1 fields, saw 2\\nSkipping line 2352: expected 1 fields, saw 2\\nSkipping line 2353: expected 1 fields, saw 2\\nSkipping line 2354: expected 1 fields, saw 2\\nSkipping line 2355: expected 1 fields, saw 2\\nSkipping line 2356: expected 1 fields, saw 2\\nSkipping line 2357: expected 1 fields, saw 2\\nSkipping line 2358: expected 1 fields, saw 2\\nSkipping line 2359: expected 1 fields, saw 2\\nSkipping line 2360: expected 1 fields, saw 2\\nSkipping line 2361: expected 1 fields, saw 2\\nSkipping line 2362: expected 1 fields, saw 2\\nSkipping line 2363: expected 1 fields, saw 2\\nSkipping line 2364: expected 1 fields, saw 2\\nSkipping line 2365: expected 1 fields, saw 2\\nSkipping line 2366: expected 1 fields, saw 2\\nSkipping line 2367: expected 1 fields, saw 2\\nSkipping line 2368: expected 1 fields, saw 2\\nSkipping line 2369: expected 1 fields, saw 2\\nSkipping line 2370: expected 1 fields, saw 2\\nSkipping line 2371: expected 1 fields, saw 2\\nSkipping line 2372: expected 1 fields, saw 2\\nSkipping line 2373: expected 1 fields, saw 2\\nSkipping line 2374: expected 1 fields, saw 2\\nSkipping line 2375: expected 1 fields, saw 2\\nSkipping line 2376: expected 1 fields, saw 2\\nSkipping line 2377: expected 1 fields, saw 2\\nSkipping line 2378: expected 1 fields, saw 2\\nSkipping line 2379: expected 1 fields, saw 2\\nSkipping line 2380: expected 1 fields, saw 2\\nSkipping line 2381: expected 1 fields, saw 2\\nSkipping line 2382: expected 1 fields, saw 2\\nSkipping line 2383: expected 1 fields, saw 2\\nSkipping line 2384: expected 1 fields, saw 2\\nSkipping line 2385: expected 1 fields, saw 2\\nSkipping line 2386: expected 1 fields, saw 2\\nSkipping line 2387: expected 1 fields, saw 2\\nSkipping line 2388: expected 1 fields, saw 2\\nSkipping line 2389: expected 1 fields, saw 2\\nSkipping line 2390: expected 1 fields, saw 2\\nSkipping line 2391: expected 1 fields, saw 2\\nSkipping line 2392: expected 1 fields, saw 2\\nSkipping line 2393: expected 1 fields, saw 2\\nSkipping line 2394: expected 1 fields, saw 2\\nSkipping line 2395: expected 1 fields, saw 2\\nSkipping line 2396: expected 1 fields, saw 2\\nSkipping line 2397: expected 1 fields, saw 2\\nSkipping line 2398: expected 1 fields, saw 2\\nSkipping line 2399: expected 1 fields, saw 2\\nSkipping line 2400: expected 1 fields, saw 2\\nSkipping line 2401: expected 1 fields, saw 2\\nSkipping line 2402: expected 1 fields, saw 2\\nSkipping line 2403: expected 1 fields, saw 2\\nSkipping line 2404: expected 1 fields, saw 2\\nSkipping line 2405: expected 1 fields, saw 2\\nSkipping line 2406: expected 1 fields, saw 2\\nSkipping line 2407: expected 1 fields, saw 2\\nSkipping line 2408: expected 1 fields, saw 2\\nSkipping line 2409: expected 1 fields, saw 2\\nSkipping line 2410: expected 1 fields, saw 2\\nSkipping line 2411: expected 1 fields, saw 2\\nSkipping line 2412: expected 1 fields, saw 2\\nSkipping line 2413: expected 1 fields, saw 2\\nSkipping line 2414: expected 1 fields, saw 2\\nSkipping line 2415: expected 1 fields, saw 2\\nSkipping line 2416: expected 1 fields, saw 2\\nSkipping line 2417: expected 1 fields, saw 2\\nSkipping line 2418: expected 1 fields, saw 2\\nSkipping line 2419: expected 1 fields, saw 2\\nSkipping line 2420: expected 1 fields, saw 2\\nSkipping line 2421: expected 1 fields, saw 2\\nSkipping line 2422: expected 1 fields, saw 2\\nSkipping line 2423: expected 1 fields, saw 2\\nSkipping line 2424: expected 1 fields, saw 2\\nSkipping line 2425: expected 1 fields, saw 2\\nSkipping line 2426: expected 1 fields, saw 2\\nSkipping line 2427: expected 1 fields, saw 2\\nSkipping line 2428: expected 1 fields, saw 2\\nSkipping line 2429: expected 1 fields, saw 2\\nSkipping line 2430: expected 1 fields, saw 2\\nSkipping line 2431: expected 1 fields, saw 2\\nSkipping line 2432: expected 1 fields, saw 2\\nSkipping line 2433: expected 1 fields, saw 2\\nSkipping line 2434: expected 1 fields, saw 2\\nSkipping line 2435: expected 1 fields, saw 2\\nSkipping line 2436: expected 1 fields, saw 2\\nSkipping line 2437: expected 1 fields, saw 2\\nSkipping line 2438: expected 1 fields, saw 2\\nSkipping line 2439: expected 1 fields, saw 2\\nSkipping line 2440: expected 1 fields, saw 2\\nSkipping line 2441: expected 1 fields, saw 2\\nSkipping line 2442: expected 1 fields, saw 2\\nSkipping line 2443: expected 1 fields, saw 2\\nSkipping line 2444: expected 1 fields, saw 2\\nSkipping line 2445: expected 1 fields, saw 2\\nSkipping line 2446: expected 1 fields, saw 2\\nSkipping line 2447: expected 1 fields, saw 2\\nSkipping line 2448: expected 1 fields, saw 2\\nSkipping line 2449: expected 1 fields, saw 2\\nSkipping line 2450: expected 1 fields, saw 2\\nSkipping line 2451: expected 1 fields, saw 2\\nSkipping line 2452: expected 1 fields, saw 2\\nSkipping line 2453: expected 1 fields, saw 2\\nSkipping line 2454: expected 1 fields, saw 2\\nSkipping line 2455: expected 1 fields, saw 2\\nSkipping line 2456: expected 1 fields, saw 2\\nSkipping line 2457: expected 1 fields, saw 2\\nSkipping line 2458: expected 1 fields, saw 2\\nSkipping line 2459: expected 1 fields, saw 2\\nSkipping line 2460: expected 1 fields, saw 2\\nSkipping line 2461: expected 1 fields, saw 2\\nSkipping line 2462: expected 1 fields, saw 2\\nSkipping line 2463: expected 1 fields, saw 2\\nSkipping line 2464: expected 1 fields, saw 2\\nSkipping line 2465: expected 1 fields, saw 2\\nSkipping line 2466: expected 1 fields, saw 2\\nSkipping line 2467: expected 1 fields, saw 2\\nSkipping line 2468: expected 1 fields, saw 2\\nSkipping line 2469: expected 1 fields, saw 2\\nSkipping line 2470: expected 1 fields, saw 2\\nSkipping line 2471: expected 1 fields, saw 2\\nSkipping line 2472: expected 1 fields, saw 2\\nSkipping line 2473: expected 1 fields, saw 2\\nSkipping line 2474: expected 1 fields, saw 2\\nSkipping line 2475: expected 1 fields, saw 2\\nSkipping line 2476: expected 1 fields, saw 2\\nSkipping line 2477: expected 1 fields, saw 2\\nSkipping line 2478: expected 1 fields, saw 2\\nSkipping line 2479: expected 1 fields, saw 2\\nSkipping line 2480: expected 1 fields, saw 2\\nSkipping line 2481: expected 1 fields, saw 2\\nSkipping line 2482: expected 1 fields, saw 2\\nSkipping line 2483: expected 1 fields, saw 2\\nSkipping line 2484: expected 1 fields, saw 2\\nSkipping line 2485: expected 1 fields, saw 2\\nSkipping line 2486: expected 1 fields, saw 2\\nSkipping line 2487: expected 1 fields, saw 2\\nSkipping line 2488: expected 1 fields, saw 2\\nSkipping line 2489: expected 1 fields, saw 2\\nSkipping line 2490: expected 1 fields, saw 2\\nSkipping line 2491: expected 1 fields, saw 2\\nSkipping line 2492: expected 1 fields, saw 2\\nSkipping line 2493: expected 1 fields, saw 2\\nSkipping line 2494: expected 1 fields, saw 2\\nSkipping line 2495: expected 1 fields, saw 2\\nSkipping line 2496: expected 1 fields, saw 2\\nSkipping line 2497: expected 1 fields, saw 2\\nSkipping line 2498: expected 1 fields, saw 2\\nSkipping line 2499: expected 1 fields, saw 2\\nSkipping line 2500: expected 1 fields, saw 2\\nSkipping line 2501: expected 1 fields, saw 2\\nSkipping line 2502: expected 1 fields, saw 2\\nSkipping line 2503: expected 1 fields, saw 2\\nSkipping line 2504: expected 1 fields, saw 2\\nSkipping line 2505: expected 1 fields, saw 2\\nSkipping line 2506: expected 1 fields, saw 2\\nSkipping line 2507: expected 1 fields, saw 2\\nSkipping line 2508: expected 1 fields, saw 2\\nSkipping line 2509: expected 1 fields, saw 2\\nSkipping line 2510: expected 1 fields, saw 2\\nSkipping line 2511: expected 1 fields, saw 2\\nSkipping line 2512: expected 1 fields, saw 2\\nSkipping line 2513: expected 1 fields, saw 2\\nSkipping line 2514: expected 1 fields, saw 2\\nSkipping line 2515: expected 1 fields, saw 2\\nSkipping line 2516: expected 1 fields, saw 2\\nSkipping line 2517: expected 1 fields, saw 2\\nSkipping line 2518: expected 1 fields, saw 2\\nSkipping line 2519: expected 1 fields, saw 2\\nSkipping line 2520: expected 1 fields, saw 2\\nSkipping line 2521: expected 1 fields, saw 2\\nSkipping line 2522: expected 1 fields, saw 2\\nSkipping line 2523: expected 1 fields, saw 2\\nSkipping line 2524: expected 1 fields, saw 2\\nSkipping line 2525: expected 1 fields, saw 2\\nSkipping line 2526: expected 1 fields, saw 2\\nSkipping line 2527: expected 1 fields, saw 2\\nSkipping line 2528: expected 1 fields, saw 2\\nSkipping line 2529: expected 1 fields, saw 2\\nSkipping line 2530: expected 1 fields, saw 2\\nSkipping line 2531: expected 1 fields, saw 2\\nSkipping line 2532: expected 1 fields, saw 2\\nSkipping line 2533: expected 1 fields, saw 2\\nSkipping line 2534: expected 1 fields, saw 2\\nSkipping line 2535: expected 1 fields, saw 2\\nSkipping line 2536: expected 1 fields, saw 2\\nSkipping line 2537: expected 1 fields, saw 2\\nSkipping line 2538: expected 1 fields, saw 2\\nSkipping line 2539: expected 1 fields, saw 2\\nSkipping line 2540: expected 1 fields, saw 2\\nSkipping line 2541: expected 1 fields, saw 2\\nSkipping line 2542: expected 1 fields, saw 2\\nSkipping line 2543: expected 1 fields, saw 2\\nSkipping line 2544: expected 1 fields, saw 2\\nSkipping line 2545: expected 1 fields, saw 2\\nSkipping line 2546: expected 1 fields, saw 2\\nSkipping line 2547: expected 1 fields, saw 2\\nSkipping line 2548: expected 1 fields, saw 2\\nSkipping line 2549: expected 1 fields, saw 2\\nSkipping line 2550: expected 1 fields, saw 2\\nSkipping line 2551: expected 1 fields, saw 2\\nSkipping line 2552: expected 1 fields, saw 2\\nSkipping line 2553: expected 1 fields, saw 2\\nSkipping line 2554: expected 1 fields, saw 2\\nSkipping line 2555: expected 1 fields, saw 2\\nSkipping line 2556: expected 1 fields, saw 2\\nSkipping line 2557: expected 1 fields, saw 2\\nSkipping line 2558: expected 1 fields, saw 2\\nSkipping line 2559: expected 1 fields, saw 2\\nSkipping line 2560: expected 1 fields, saw 2\\nSkipping line 2561: expected 1 fields, saw 2\\nSkipping line 2562: expected 1 fields, saw 2\\nSkipping line 2563: expected 1 fields, saw 2\\nSkipping line 2564: expected 1 fields, saw 2\\nSkipping line 2565: expected 1 fields, saw 2\\nSkipping line 2566: expected 1 fields, saw 2\\nSkipping line 2567: expected 1 fields, saw 2\\nSkipping line 2568: expected 1 fields, saw 2\\nSkipping line 2569: expected 1 fields, saw 2\\nSkipping line 2570: expected 1 fields, saw 2\\nSkipping line 2571: expected 1 fields, saw 2\\nSkipping line 2572: expected 1 fields, saw 2\\nSkipping line 2573: expected 1 fields, saw 2\\nSkipping line 2574: expected 1 fields, saw 2\\nSkipping line 2575: expected 1 fields, saw 2\\nSkipping line 2576: expected 1 fields, saw 2\\nSkipping line 2577: expected 1 fields, saw 2\\nSkipping line 2578: expected 1 fields, saw 2\\nSkipping line 2579: expected 1 fields, saw 2\\nSkipping line 2580: expected 1 fields, saw 2\\nSkipping line 2581: expected 1 fields, saw 2\\nSkipping line 2582: expected 1 fields, saw 2\\nSkipping line 2583: expected 1 fields, saw 2\\nSkipping line 2584: expected 1 fields, saw 2\\nSkipping line 2585: expected 1 fields, saw 2\\nSkipping line 2586: expected 1 fields, saw 2\\nSkipping line 2587: expected 1 fields, saw 2\\nSkipping line 2588: expected 1 fields, saw 2\\nSkipping line 2589: expected 1 fields, saw 2\\nSkipping line 2590: expected 1 fields, saw 2\\nSkipping line 2591: expected 1 fields, saw 2\\nSkipping line 2592: expected 1 fields, saw 2\\nSkipping line 2593: expected 1 fields, saw 2\\nSkipping line 2594: expected 1 fields, saw 2\\nSkipping line 2595: expected 1 fields, saw 2\\nSkipping line 2596: expected 1 fields, saw 2\\nSkipping line 2597: expected 1 fields, saw 2\\nSkipping line 2598: expected 1 fields, saw 2\\nSkipping line 2599: expected 1 fields, saw 2\\nSkipping line 2600: expected 1 fields, saw 2\\nSkipping line 2601: expected 1 fields, saw 2\\nSkipping line 2602: expected 1 fields, saw 2\\nSkipping line 2603: expected 1 fields, saw 2\\nSkipping line 2604: expected 1 fields, saw 2\\nSkipping line 2605: expected 1 fields, saw 2\\nSkipping line 2606: expected 1 fields, saw 2\\nSkipping line 2607: expected 1 fields, saw 2\\nSkipping line 2608: expected 1 fields, saw 2\\nSkipping line 2609: expected 1 fields, saw 2\\nSkipping line 2610: expected 1 fields, saw 2\\nSkipping line 2611: expected 1 fields, saw 2\\nSkipping line 2612: expected 1 fields, saw 2\\nSkipping line 2613: expected 1 fields, saw 2\\nSkipping line 2614: expected 1 fields, saw 2\\nSkipping line 2615: expected 1 fields, saw 2\\nSkipping line 2616: expected 1 fields, saw 2\\nSkipping line 2617: expected 1 fields, saw 2\\nSkipping line 2618: expected 1 fields, saw 2\\nSkipping line 2619: expected 1 fields, saw 2\\nSkipping line 2620: expected 1 fields, saw 2\\nSkipping line 2621: expected 1 fields, saw 2\\nSkipping line 2622: expected 1 fields, saw 2\\nSkipping line 2623: expected 1 fields, saw 2\\nSkipping line 2624: expected 1 fields, saw 2\\nSkipping line 2625: expected 1 fields, saw 2\\nSkipping line 2626: expected 1 fields, saw 2\\nSkipping line 2627: expected 1 fields, saw 2\\nSkipping line 2628: expected 1 fields, saw 2\\nSkipping line 2629: expected 1 fields, saw 2\\nSkipping line 2630: expected 1 fields, saw 2\\nSkipping line 2631: expected 1 fields, saw 2\\nSkipping line 2632: expected 1 fields, saw 2\\nSkipping line 2633: expected 1 fields, saw 2\\nSkipping line 2634: expected 1 fields, saw 2\\nSkipping line 2635: expected 1 fields, saw 2\\nSkipping line 2636: expected 1 fields, saw 2\\nSkipping line 2637: expected 1 fields, saw 2\\nSkipping line 2638: expected 1 fields, saw 2\\nSkipping line 2639: expected 1 fields, saw 2\\nSkipping line 2640: expected 1 fields, saw 2\\nSkipping line 2641: expected 1 fields, saw 2\\nSkipping line 2642: expected 1 fields, saw 2\\nSkipping line 2643: expected 1 fields, saw 2\\nSkipping line 2644: expected 1 fields, saw 2\\nSkipping line 2645: expected 1 fields, saw 2\\nSkipping line 2646: expected 1 fields, saw 2\\nSkipping line 2647: expected 1 fields, saw 2\\nSkipping line 2648: expected 1 fields, saw 2\\nSkipping line 2649: expected 1 fields, saw 2\\nSkipping line 2650: expected 1 fields, saw 2\\nSkipping line 2651: expected 1 fields, saw 2\\nSkipping line 2652: expected 1 fields, saw 2\\nSkipping line 2653: expected 1 fields, saw 2\\nSkipping line 2654: expected 1 fields, saw 2\\nSkipping line 2655: expected 1 fields, saw 2\\nSkipping line 2656: expected 1 fields, saw 2\\nSkipping line 2657: expected 1 fields, saw 2\\nSkipping line 2658: expected 1 fields, saw 2\\nSkipping line 2659: expected 1 fields, saw 2\\nSkipping line 2660: expected 1 fields, saw 2\\nSkipping line 2661: expected 1 fields, saw 2\\nSkipping line 2662: expected 1 fields, saw 2\\nSkipping line 2663: expected 1 fields, saw 2\\nSkipping line 2664: expected 1 fields, saw 2\\nSkipping line 2665: expected 1 fields, saw 2\\nSkipping line 2666: expected 1 fields, saw 2\\nSkipping line 2667: expected 1 fields, saw 2\\nSkipping line 2668: expected 1 fields, saw 2\\nSkipping line 2669: expected 1 fields, saw 2\\nSkipping line 2670: expected 1 fields, saw 2\\nSkipping line 2671: expected 1 fields, saw 2\\nSkipping line 2672: expected 1 fields, saw 2\\nSkipping line 2673: expected 1 fields, saw 2\\nSkipping line 2674: expected 1 fields, saw 2\\nSkipping line 2675: expected 1 fields, saw 2\\nSkipping line 2676: expected 1 fields, saw 2\\nSkipping line 2677: expected 1 fields, saw 2\\nSkipping line 2678: expected 1 fields, saw 2\\nSkipping line 2679: expected 1 fields, saw 2\\nSkipping line 2680: expected 1 fields, saw 2\\nSkipping line 2681: expected 1 fields, saw 2\\nSkipping line 2682: expected 1 fields, saw 2\\nSkipping line 2683: expected 1 fields, saw 2\\nSkipping line 2684: expected 1 fields, saw 2\\nSkipping line 2685: expected 1 fields, saw 2\\nSkipping line 2686: expected 1 fields, saw 2\\nSkipping line 2687: expected 1 fields, saw 2\\nSkipping line 2688: expected 1 fields, saw 2\\nSkipping line 2689: expected 1 fields, saw 2\\nSkipping line 2690: expected 1 fields, saw 2\\nSkipping line 2691: expected 1 fields, saw 2\\nSkipping line 2692: expected 1 fields, saw 2\\nSkipping line 2693: expected 1 fields, saw 2\\nSkipping line 2694: expected 1 fields, saw 2\\nSkipping line 2695: expected 1 fields, saw 2\\nSkipping line 2696: expected 1 fields, saw 2\\nSkipping line 2697: expected 1 fields, saw 2\\nSkipping line 2698: expected 1 fields, saw 2\\nSkipping line 2699: expected 1 fields, saw 2\\nSkipping line 2700: expected 1 fields, saw 2\\nSkipping line 2701: expected 1 fields, saw 2\\nSkipping line 2702: expected 1 fields, saw 2\\nSkipping line 2703: expected 1 fields, saw 2\\nSkipping line 2704: expected 1 fields, saw 2\\nSkipping line 2705: expected 1 fields, saw 2\\nSkipping line 2706: expected 1 fields, saw 2\\nSkipping line 2707: expected 1 fields, saw 2\\nSkipping line 2708: expected 1 fields, saw 2\\nSkipping line 2709: expected 1 fields, saw 2\\nSkipping line 2710: expected 1 fields, saw 2\\nSkipping line 2711: expected 1 fields, saw 2\\nSkipping line 2712: expected 1 fields, saw 2\\nSkipping line 2713: expected 1 fields, saw 2\\nSkipping line 2714: expected 1 fields, saw 2\\nSkipping line 2715: expected 1 fields, saw 2\\nSkipping line 2716: expected 1 fields, saw 2\\nSkipping line 2717: expected 1 fields, saw 2\\nSkipping line 2718: expected 1 fields, saw 2\\nSkipping line 2719: expected 1 fields, saw 2\\nSkipping line 2720: expected 1 fields, saw 2\\nSkipping line 2721: expected 1 fields, saw 2\\nSkipping line 2722: expected 1 fields, saw 2\\nSkipping line 2723: expected 1 fields, saw 2\\nSkipping line 2724: expected 1 fields, saw 2\\nSkipping line 2725: expected 1 fields, saw 2\\nSkipping line 2726: expected 1 fields, saw 2\\nSkipping line 2727: expected 1 fields, saw 2\\nSkipping line 2728: expected 1 fields, saw 2\\nSkipping line 2729: expected 1 fields, saw 2\\nSkipping line 2730: expected 1 fields, saw 2\\nSkipping line 2731: expected 1 fields, saw 2\\nSkipping line 2732: expected 1 fields, saw 2\\nSkipping line 2733: expected 1 fields, saw 2\\nSkipping line 2734: expected 1 fields, saw 2\\nSkipping line 2735: expected 1 fields, saw 2\\nSkipping line 2736: expected 1 fields, saw 2\\nSkipping line 2737: expected 1 fields, saw 2\\nSkipping line 2738: expected 1 fields, saw 2\\nSkipping line 2739: expected 1 fields, saw 2\\nSkipping line 2740: expected 1 fields, saw 2\\nSkipping line 2741: expected 1 fields, saw 2\\nSkipping line 2742: expected 1 fields, saw 2\\nSkipping line 2743: expected 1 fields, saw 2\\nSkipping line 2744: expected 1 fields, saw 2\\nSkipping line 2745: expected 1 fields, saw 2\\nSkipping line 2746: expected 1 fields, saw 2\\nSkipping line 2747: expected 1 fields, saw 2\\nSkipping line 2748: expected 1 fields, saw 2\\nSkipping line 2749: expected 1 fields, saw 2\\nSkipping line 2750: expected 1 fields, saw 2\\nSkipping line 2751: expected 1 fields, saw 2\\nSkipping line 2752: expected 1 fields, saw 2\\nSkipping line 2753: expected 1 fields, saw 2\\nSkipping line 2754: expected 1 fields, saw 2\\nSkipping line 2755: expected 1 fields, saw 2\\nSkipping line 2756: expected 1 fields, saw 2\\nSkipping line 2757: expected 1 fields, saw 2\\nSkipping line 2758: expected 1 fields, saw 2\\nSkipping line 2759: expected 1 fields, saw 2\\nSkipping line 2760: expected 1 fields, saw 2\\nSkipping line 2761: expected 1 fields, saw 2\\nSkipping line 2762: expected 1 fields, saw 2\\nSkipping line 2763: expected 1 fields, saw 2\\nSkipping line 2764: expected 1 fields, saw 2\\nSkipping line 2765: expected 1 fields, saw 2\\nSkipping line 2766: expected 1 fields, saw 2\\nSkipping line 2767: expected 1 fields, saw 2\\nSkipping line 2768: expected 1 fields, saw 2\\nSkipping line 2769: expected 1 fields, saw 2\\nSkipping line 2770: expected 1 fields, saw 2\\nSkipping line 2771: expected 1 fields, saw 2\\nSkipping line 2772: expected 1 fields, saw 2\\nSkipping line 2773: expected 1 fields, saw 2\\nSkipping line 2774: expected 1 fields, saw 2\\nSkipping line 2775: expected 1 fields, saw 2\\nSkipping line 2776: expected 1 fields, saw 2\\nSkipping line 2777: expected 1 fields, saw 2\\nSkipping line 2778: expected 1 fields, saw 2\\nSkipping line 2779: expected 1 fields, saw 2\\nSkipping line 2780: expected 1 fields, saw 2\\nSkipping line 2781: expected 1 fields, saw 2\\nSkipping line 2782: expected 1 fields, saw 2\\nSkipping line 2783: expected 1 fields, saw 2\\nSkipping line 2784: expected 1 fields, saw 2\\nSkipping line 2785: expected 1 fields, saw 2\\nSkipping line 2786: expected 1 fields, saw 2\\nSkipping line 2787: expected 1 fields, saw 2\\nSkipping line 2788: expected 1 fields, saw 2\\nSkipping line 2789: expected 1 fields, saw 2\\nSkipping line 2790: expected 1 fields, saw 2\\nSkipping line 2791: expected 1 fields, saw 2\\nSkipping line 2792: expected 1 fields, saw 2\\nSkipping line 2793: expected 1 fields, saw 2\\nSkipping line 2794: expected 1 fields, saw 2\\nSkipping line 2795: expected 1 fields, saw 2\\nSkipping line 2796: expected 1 fields, saw 2\\nSkipping line 2797: expected 1 fields, saw 2\\nSkipping line 2798: expected 1 fields, saw 2\\nSkipping line 2799: expected 1 fields, saw 2\\nSkipping line 2800: expected 1 fields, saw 2\\nSkipping line 2801: expected 1 fields, saw 2\\nSkipping line 2802: expected 1 fields, saw 2\\nSkipping line 2803: expected 1 fields, saw 2\\nSkipping line 2804: expected 1 fields, saw 2\\nSkipping line 2805: expected 1 fields, saw 2\\nSkipping line 2806: expected 1 fields, saw 2\\nSkipping line 2807: expected 1 fields, saw 2\\nSkipping line 2808: expected 1 fields, saw 2\\nSkipping line 2809: expected 1 fields, saw 2\\nSkipping line 2810: expected 1 fields, saw 2\\nSkipping line 2811: expected 1 fields, saw 2\\nSkipping line 2812: expected 1 fields, saw 2\\nSkipping line 2813: expected 1 fields, saw 2\\nSkipping line 2814: expected 1 fields, saw 2\\nSkipping line 2815: expected 1 fields, saw 2\\nSkipping line 2816: expected 1 fields, saw 2\\nSkipping line 2817: expected 1 fields, saw 2\\nSkipping line 2818: expected 1 fields, saw 2\\nSkipping line 2819: expected 1 fields, saw 2\\nSkipping line 2820: expected 1 fields, saw 2\\nSkipping line 2821: expected 1 fields, saw 2\\nSkipping line 2822: expected 1 fields, saw 2\\nSkipping line 2823: expected 1 fields, saw 2\\nSkipping line 2824: expected 1 fields, saw 2\\nSkipping line 2825: expected 1 fields, saw 2\\nSkipping line 2826: expected 1 fields, saw 2\\nSkipping line 2827: expected 1 fields, saw 2\\nSkipping line 2828: expected 1 fields, saw 2\\nSkipping line 2829: expected 1 fields, saw 2\\nSkipping line 2830: expected 1 fields, saw 2\\nSkipping line 2831: expected 1 fields, saw 2\\nSkipping line 2832: expected 1 fields, saw 2\\nSkipping line 2833: expected 1 fields, saw 2\\nSkipping line 2834: expected 1 fields, saw 2\\nSkipping line 2835: expected 1 fields, saw 2\\nSkipping line 2836: expected 1 fields, saw 2\\nSkipping line 2837: expected 1 fields, saw 2\\nSkipping line 2838: expected 1 fields, saw 2\\nSkipping line 2839: expected 1 fields, saw 2\\nSkipping line 2840: expected 1 fields, saw 2\\nSkipping line 2841: expected 1 fields, saw 2\\nSkipping line 2842: expected 1 fields, saw 2\\nSkipping line 2843: expected 1 fields, saw 2\\nSkipping line 2844: expected 1 fields, saw 2\\nSkipping line 2845: expected 1 fields, saw 2\\nSkipping line 2846: expected 1 fields, saw 2\\nSkipping line 2847: expected 1 fields, saw 2\\nSkipping line 2848: expected 1 fields, saw 2\\nSkipping line 2849: expected 1 fields, saw 2\\nSkipping line 2850: expected 1 fields, saw 2\\nSkipping line 2851: expected 1 fields, saw 2\\nSkipping line 2852: expected 1 fields, saw 2\\nSkipping line 2853: expected 1 fields, saw 2\\nSkipping line 2854: expected 1 fields, saw 2\\nSkipping line 2855: expected 1 fields, saw 2\\nSkipping line 2856: expected 1 fields, saw 2\\nSkipping line 2857: expected 1 fields, saw 2\\nSkipping line 2858: expected 1 fields, saw 2\\nSkipping line 2859: expected 1 fields, saw 2\\nSkipping line 2860: expected 1 fields, saw 2\\nSkipping line 2861: expected 1 fields, saw 2\\nSkipping line 2862: expected 1 fields, saw 2\\nSkipping line 2863: expected 1 fields, saw 2\\nSkipping line 2864: expected 1 fields, saw 2\\nSkipping line 2865: expected 1 fields, saw 2\\nSkipping line 2866: expected 1 fields, saw 2\\nSkipping line 2867: expected 1 fields, saw 2\\nSkipping line 2868: expected 1 fields, saw 2\\nSkipping line 2869: expected 1 fields, saw 2\\nSkipping line 2870: expected 1 fields, saw 2\\nSkipping line 2871: expected 1 fields, saw 2\\nSkipping line 2872: expected 1 fields, saw 2\\nSkipping line 2873: expected 1 fields, saw 2\\nSkipping line 2874: expected 1 fields, saw 2\\nSkipping line 2875: expected 1 fields, saw 2\\nSkipping line 2876: expected 1 fields, saw 2\\nSkipping line 2877: expected 1 fields, saw 2\\nSkipping line 2878: expected 1 fields, saw 2\\nSkipping line 2879: expected 1 fields, saw 2\\nSkipping line 2880: expected 1 fields, saw 2\\nSkipping line 2881: expected 1 fields, saw 2\\nSkipping line 2882: expected 1 fields, saw 2\\nSkipping line 2883: expected 1 fields, saw 2\\nSkipping line 2884: expected 1 fields, saw 2\\nSkipping line 2885: expected 1 fields, saw 2\\nSkipping line 2886: expected 1 fields, saw 2\\nSkipping line 2887: expected 1 fields, saw 2\\nSkipping line 2888: expected 1 fields, saw 2\\nSkipping line 2889: expected 1 fields, saw 2\\nSkipping line 2890: expected 1 fields, saw 2\\nSkipping line 2891: expected 1 fields, saw 2\\nSkipping line 2892: expected 1 fields, saw 2\\nSkipping line 2893: expected 1 fields, saw 2\\nSkipping line 2894: expected 1 fields, saw 2\\nSkipping line 2895: expected 1 fields, saw 2\\nSkipping line 2896: expected 1 fields, saw 2\\nSkipping line 2897: expected 1 fields, saw 2\\nSkipping line 2898: expected 1 fields, saw 2\\nSkipping line 2899: expected 1 fields, saw 2\\nSkipping line 2900: expected 1 fields, saw 2\\nSkipping line 2901: expected 1 fields, saw 2\\nSkipping line 2902: expected 1 fields, saw 2\\nSkipping line 2903: expected 1 fields, saw 2\\nSkipping line 2904: expected 1 fields, saw 2\\nSkipping line 2905: expected 1 fields, saw 2\\nSkipping line 2906: expected 1 fields, saw 2\\nSkipping line 2907: expected 1 fields, saw 2\\nSkipping line 2908: expected 1 fields, saw 2\\nSkipping line 2909: expected 1 fields, saw 2\\nSkipping line 2910: expected 1 fields, saw 2\\nSkipping line 2911: expected 1 fields, saw 2\\nSkipping line 2912: expected 1 fields, saw 2\\nSkipping line 2913: expected 1 fields, saw 2\\nSkipping line 2914: expected 1 fields, saw 2\\nSkipping line 2915: expected 1 fields, saw 2\\nSkipping line 2916: expected 1 fields, saw 2\\nSkipping line 2917: expected 1 fields, saw 2\\nSkipping line 2918: expected 1 fields, saw 2\\nSkipping line 2919: expected 1 fields, saw 2\\nSkipping line 2920: expected 1 fields, saw 2\\nSkipping line 2921: expected 1 fields, saw 2\\nSkipping line 2922: expected 1 fields, saw 2\\nSkipping line 2923: expected 1 fields, saw 2\\nSkipping line 2924: expected 1 fields, saw 2\\nSkipping line 2925: expected 1 fields, saw 2\\nSkipping line 2926: expected 1 fields, saw 2\\nSkipping line 2927: expected 1 fields, saw 2\\nSkipping line 2928: expected 1 fields, saw 2\\nSkipping line 2929: expected 1 fields, saw 2\\nSkipping line 2930: expected 1 fields, saw 2\\nSkipping line 2931: expected 1 fields, saw 2\\nSkipping line 2932: expected 1 fields, saw 2\\nSkipping line 2933: expected 1 fields, saw 2\\nSkipping line 2934: expected 1 fields, saw 2\\nSkipping line 2935: expected 1 fields, saw 2\\nSkipping line 2936: expected 1 fields, saw 2\\nSkipping line 2937: expected 1 fields, saw 2\\nSkipping line 2938: expected 1 fields, saw 2\\nSkipping line 2939: expected 1 fields, saw 2\\nSkipping line 2940: expected 1 fields, saw 2\\nSkipping line 2941: expected 1 fields, saw 2\\nSkipping line 2942: expected 1 fields, saw 2\\nSkipping line 2943: expected 1 fields, saw 2\\nSkipping line 2944: expected 1 fields, saw 2\\nSkipping line 2945: expected 1 fields, saw 2\\nSkipping line 2946: expected 1 fields, saw 2\\nSkipping line 2947: expected 1 fields, saw 2\\nSkipping line 2948: expected 1 fields, saw 2\\nSkipping line 2949: expected 1 fields, saw 2\\nSkipping line 2950: expected 1 fields, saw 2\\nSkipping line 2951: expected 1 fields, saw 2\\nSkipping line 2952: expected 1 fields, saw 2\\nSkipping line 2953: expected 1 fields, saw 2\\nSkipping line 2954: expected 1 fields, saw 2\\nSkipping line 2955: expected 1 fields, saw 2\\nSkipping line 2956: expected 1 fields, saw 2\\nSkipping line 2957: expected 1 fields, saw 2\\nSkipping line 2958: expected 1 fields, saw 2\\nSkipping line 2959: expected 1 fields, saw 2\\nSkipping line 2960: expected 1 fields, saw 2\\nSkipping line 2961: expected 1 fields, saw 2\\nSkipping line 2962: expected 1 fields, saw 2\\nSkipping line 2963: expected 1 fields, saw 2\\nSkipping line 2964: expected 1 fields, saw 2\\nSkipping line 2965: expected 1 fields, saw 2\\nSkipping line 2966: expected 1 fields, saw 2\\nSkipping line 2967: expected 1 fields, saw 2\\nSkipping line 2968: expected 1 fields, saw 2\\nSkipping line 2969: expected 1 fields, saw 2\\nSkipping line 2970: expected 1 fields, saw 2\\nSkipping line 2971: expected 1 fields, saw 2\\nSkipping line 2972: expected 1 fields, saw 2\\nSkipping line 2973: expected 1 fields, saw 2\\nSkipping line 2974: expected 1 fields, saw 2\\nSkipping line 2975: expected 1 fields, saw 2\\nSkipping line 2976: expected 1 fields, saw 2\\nSkipping line 2977: expected 1 fields, saw 2\\nSkipping line 2978: expected 1 fields, saw 2\\nSkipping line 2979: expected 1 fields, saw 2\\nSkipping line 2980: expected 1 fields, saw 2\\nSkipping line 2981: expected 1 fields, saw 2\\nSkipping line 2982: expected 1 fields, saw 2\\nSkipping line 2983: expected 1 fields, saw 2\\nSkipping line 2984: expected 1 fields, saw 2\\nSkipping line 2985: expected 1 fields, saw 2\\nSkipping line 2986: expected 1 fields, saw 2\\nSkipping line 2987: expected 1 fields, saw 2\\nSkipping line 2988: expected 1 fields, saw 2\\nSkipping line 2989: expected 1 fields, saw 2\\nSkipping line 2990: expected 1 fields, saw 2\\nSkipping line 2991: expected 1 fields, saw 2\\nSkipping line 2992: expected 1 fields, saw 2\\nSkipping line 2993: expected 1 fields, saw 2\\nSkipping line 2994: expected 1 fields, saw 2\\nSkipping line 2995: expected 1 fields, saw 2\\nSkipping line 2996: expected 1 fields, saw 2\\nSkipping line 2997: expected 1 fields, saw 2\\nSkipping line 2998: expected 1 fields, saw 2\\nSkipping line 2999: expected 1 fields, saw 2\\nSkipping line 3000: expected 1 fields, saw 2\\nSkipping line 3001: expected 1 fields, saw 2\\nSkipping line 3002: expected 1 fields, saw 2\\nSkipping line 3003: expected 1 fields, saw 2\\nSkipping line 3004: expected 1 fields, saw 2\\nSkipping line 3005: expected 1 fields, saw 2\\nSkipping line 3006: expected 1 fields, saw 2\\nSkipping line 3007: expected 1 fields, saw 2\\nSkipping line 3008: expected 1 fields, saw 2\\nSkipping line 3009: expected 1 fields, saw 2\\nSkipping line 3010: expected 1 fields, saw 2\\nSkipping line 3011: expected 1 fields, saw 2\\nSkipping line 3012: expected 1 fields, saw 2\\nSkipping line 3013: expected 1 fields, saw 2\\nSkipping line 3014: expected 1 fields, saw 2\\nSkipping line 3015: expected 1 fields, saw 2\\nSkipping line 3016: expected 1 fields, saw 2\\nSkipping line 3017: expected 1 fields, saw 2\\nSkipping line 3018: expected 1 fields, saw 2\\nSkipping line 3019: expected 1 fields, saw 2\\nSkipping line 3020: expected 1 fields, saw 2\\nSkipping line 3021: expected 1 fields, saw 2\\nSkipping line 3022: expected 1 fields, saw 2\\nSkipping line 3023: expected 1 fields, saw 2\\nSkipping line 3024: expected 1 fields, saw 2\\nSkipping line 3025: expected 1 fields, saw 2\\nSkipping line 3026: expected 1 fields, saw 2\\nSkipping line 3027: expected 1 fields, saw 2\\nSkipping line 3028: expected 1 fields, saw 2\\nSkipping line 3029: expected 1 fields, saw 2\\nSkipping line 3030: expected 1 fields, saw 2\\nSkipping line 3031: expected 1 fields, saw 2\\nSkipping line 3032: expected 1 fields, saw 2\\nSkipping line 3033: expected 1 fields, saw 2\\nSkipping line 3034: expected 1 fields, saw 2\\nSkipping line 3035: expected 1 fields, saw 2\\nSkipping line 3036: expected 1 fields, saw 2\\nSkipping line 3037: expected 1 fields, saw 2\\nSkipping line 3038: expected 1 fields, saw 2\\nSkipping line 3039: expected 1 fields, saw 2\\nSkipping line 3040: expected 1 fields, saw 2\\nSkipping line 3041: expected 1 fields, saw 2\\nSkipping line 3042: expected 1 fields, saw 2\\nSkipping line 3043: expected 1 fields, saw 2\\nSkipping line 3044: expected 1 fields, saw 2\\nSkipping line 3045: expected 1 fields, saw 2\\nSkipping line 3046: expected 1 fields, saw 2\\nSkipping line 3047: expected 1 fields, saw 2\\nSkipping line 3048: expected 1 fields, saw 2\\nSkipping line 3049: expected 1 fields, saw 2\\nSkipping line 3050: expected 1 fields, saw 2\\nSkipping line 3051: expected 1 fields, saw 2\\nSkipping line 3052: expected 1 fields, saw 2\\nSkipping line 3053: expected 1 fields, saw 2\\nSkipping line 3054: expected 1 fields, saw 2\\nSkipping line 3055: expected 1 fields, saw 2\\nSkipping line 3056: expected 1 fields, saw 2\\nSkipping line 3057: expected 1 fields, saw 2\\nSkipping line 3058: expected 1 fields, saw 2\\nSkipping line 3059: expected 1 fields, saw 2\\nSkipping line 3060: expected 1 fields, saw 2\\nSkipping line 3061: expected 1 fields, saw 2\\nSkipping line 3062: expected 1 fields, saw 2\\nSkipping line 3063: expected 1 fields, saw 2\\nSkipping line 3064: expected 1 fields, saw 2\\nSkipping line 3065: expected 1 fields, saw 2\\nSkipping line 3066: expected 1 fields, saw 2\\nSkipping line 3067: expected 1 fields, saw 2\\nSkipping line 3068: expected 1 fields, saw 2\\nSkipping line 3069: expected 1 fields, saw 2\\nSkipping line 3070: expected 1 fields, saw 2\\nSkipping line 3071: expected 1 fields, saw 2\\nSkipping line 3072: expected 1 fields, saw 2\\nSkipping line 3073: expected 1 fields, saw 2\\nSkipping line 3074: expected 1 fields, saw 2\\nSkipping line 3075: expected 1 fields, saw 2\\nSkipping line 3076: expected 1 fields, saw 2\\nSkipping line 3077: expected 1 fields, saw 2\\nSkipping line 3078: expected 1 fields, saw 2\\nSkipping line 3079: expected 1 fields, saw 2\\nSkipping line 3080: expected 1 fields, saw 2\\nSkipping line 3081: expected 1 fields, saw 2\\nSkipping line 3082: expected 1 fields, saw 2\\nSkipping line 3083: expected 1 fields, saw 2\\nSkipping line 3084: expected 1 fields, saw 2\\nSkipping line 3085: expected 1 fields, saw 2\\nSkipping line 3086: expected 1 fields, saw 2\\nSkipping line 3087: expected 1 fields, saw 2\\nSkipping line 3088: expected 1 fields, saw 2\\nSkipping line 3089: expected 1 fields, saw 2\\nSkipping line 3090: expected 1 fields, saw 2\\nSkipping line 3091: expected 1 fields, saw 2\\nSkipping line 3092: expected 1 fields, saw 2\\nSkipping line 3093: expected 1 fields, saw 2\\nSkipping line 3094: expected 1 fields, saw 2\\nSkipping line 3095: expected 1 fields, saw 2\\nSkipping line 3096: expected 1 fields, saw 2\\nSkipping line 3097: expected 1 fields, saw 2\\nSkipping line 3098: expected 1 fields, saw 2\\nSkipping line 3099: expected 1 fields, saw 2\\nSkipping line 3100: expected 1 fields, saw 2\\nSkipping line 3101: expected 1 fields, saw 2\\nSkipping line 3102: expected 1 fields, saw 2\\nSkipping line 3103: expected 1 fields, saw 2\\nSkipping line 3104: expected 1 fields, saw 2\\nSkipping line 3105: expected 1 fields, saw 2\\nSkipping line 3106: expected 1 fields, saw 2\\nSkipping line 3107: expected 1 fields, saw 2\\nSkipping line 3108: expected 1 fields, saw 2\\nSkipping line 3109: expected 1 fields, saw 2\\nSkipping line 3110: expected 1 fields, saw 2\\nSkipping line 3111: expected 1 fields, saw 2\\nSkipping line 3112: expected 1 fields, saw 2\\nSkipping line 3113: expected 1 fields, saw 2\\nSkipping line 3114: expected 1 fields, saw 2\\nSkipping line 3115: expected 1 fields, saw 2\\nSkipping line 3116: expected 1 fields, saw 2\\nSkipping line 3117: expected 1 fields, saw 2\\nSkipping line 3118: expected 1 fields, saw 2\\nSkipping line 3119: expected 1 fields, saw 2\\nSkipping line 3120: expected 1 fields, saw 2\\nSkipping line 3121: expected 1 fields, saw 2\\nSkipping line 3122: expected 1 fields, saw 2\\nSkipping line 3123: expected 1 fields, saw 2\\nSkipping line 3124: expected 1 fields, saw 2\\nSkipping line 3125: expected 1 fields, saw 2\\nSkipping line 3126: expected 1 fields, saw 2\\nSkipping line 3127: expected 1 fields, saw 2\\nSkipping line 3128: expected 1 fields, saw 2\\nSkipping line 3129: expected 1 fields, saw 2\\nSkipping line 3130: expected 1 fields, saw 2\\nSkipping line 3131: expected 1 fields, saw 2\\nSkipping line 3132: expected 1 fields, saw 2\\nSkipping line 3133: expected 1 fields, saw 2\\nSkipping line 3134: expected 1 fields, saw 2\\nSkipping line 3135: expected 1 fields, saw 2\\nSkipping line 3136: expected 1 fields, saw 2\\nSkipping line 3137: expected 1 fields, saw 2\\nSkipping line 3138: expected 1 fields, saw 2\\nSkipping line 3139: expected 1 fields, saw 2\\nSkipping line 3140: expected 1 fields, saw 2\\nSkipping line 3141: expected 1 fields, saw 2\\nSkipping line 3142: expected 1 fields, saw 2\\nSkipping line 3143: expected 1 fields, saw 2\\nSkipping line 3144: expected 1 fields, saw 2\\nSkipping line 3145: expected 1 fields, saw 2\\nSkipping line 3146: expected 1 fields, saw 2\\nSkipping line 3147: expected 1 fields, saw 2\\nSkipping line 3148: expected 1 fields, saw 2\\nSkipping line 3149: expected 1 fields, saw 2\\nSkipping line 3150: expected 1 fields, saw 2\\nSkipping line 3151: expected 1 fields, saw 2\\nSkipping line 3152: expected 1 fields, saw 2\\nSkipping line 3153: expected 1 fields, saw 2\\nSkipping line 3154: expected 1 fields, saw 2\\nSkipping line 3155: expected 1 fields, saw 2\\nSkipping line 3156: expected 1 fields, saw 2\\nSkipping line 3157: expected 1 fields, saw 2\\nSkipping line 3158: expected 1 fields, saw 2\\nSkipping line 3159: expected 1 fields, saw 2\\nSkipping line 3160: expected 1 fields, saw 2\\nSkipping line 3161: expected 1 fields, saw 2\\nSkipping line 3162: expected 1 fields, saw 2\\nSkipping line 3163: expected 1 fields, saw 2\\nSkipping line 3164: expected 1 fields, saw 2\\nSkipping line 3165: expected 1 fields, saw 2\\nSkipping line 3166: expected 1 fields, saw 2\\nSkipping line 3167: expected 1 fields, saw 2\\nSkipping line 3168: expected 1 fields, saw 2\\nSkipping line 3169: expected 1 fields, saw 2\\nSkipping line 3170: expected 1 fields, saw 2\\nSkipping line 3171: expected 1 fields, saw 2\\nSkipping line 3172: expected 1 fields, saw 2\\nSkipping line 3173: expected 1 fields, saw 2\\nSkipping line 3174: expected 1 fields, saw 2\\nSkipping line 3175: expected 1 fields, saw 2\\nSkipping line 3176: expected 1 fields, saw 2\\nSkipping line 3177: expected 1 fields, saw 2\\nSkipping line 3178: expected 1 fields, saw 2\\nSkipping line 3179: expected 1 fields, saw 2\\nSkipping line 3180: expected 1 fields, saw 2\\nSkipping line 3181: expected 1 fields, saw 2\\nSkipping line 3182: expected 1 fields, saw 2\\nSkipping line 3183: expected 1 fields, saw 2\\nSkipping line 3184: expected 1 fields, saw 2\\nSkipping line 3185: expected 1 fields, saw 2\\nSkipping line 3186: expected 1 fields, saw 2\\nSkipping line 3187: expected 1 fields, saw 2\\nSkipping line 3188: expected 1 fields, saw 2\\nSkipping line 3189: expected 1 fields, saw 2\\nSkipping line 3190: expected 1 fields, saw 2\\nSkipping line 3191: expected 1 fields, saw 2\\nSkipping line 3192: expected 1 fields, saw 2\\nSkipping line 3193: expected 1 fields, saw 2\\nSkipping line 3194: expected 1 fields, saw 2\\nSkipping line 3195: expected 1 fields, saw 2\\nSkipping line 3196: expected 1 fields, saw 2\\nSkipping line 3197: expected 1 fields, saw 2\\nSkipping line 3198: expected 1 fields, saw 2\\nSkipping line 3199: expected 1 fields, saw 2\\nSkipping line 3200: expected 1 fields, saw 2\\nSkipping line 3201: expected 1 fields, saw 2\\nSkipping line 3202: expected 1 fields, saw 2\\nSkipping line 3203: expected 1 fields, saw 2\\nSkipping line 3204: expected 1 fields, saw 2\\nSkipping line 3205: expected 1 fields, saw 2\\nSkipping line 3206: expected 1 fields, saw 2\\nSkipping line 3207: expected 1 fields, saw 2\\nSkipping line 3208: expected 1 fields, saw 2\\nSkipping line 3209: expected 1 fields, saw 2\\nSkipping line 3210: expected 1 fields, saw 2\\nSkipping line 3211: expected 1 fields, saw 2\\nSkipping line 3212: expected 1 fields, saw 2\\nSkipping line 3213: expected 1 fields, saw 2\\nSkipping line 3214: expected 1 fields, saw 2\\nSkipping line 3215: expected 1 fields, saw 2\\nSkipping line 3216: expected 1 fields, saw 2\\nSkipping line 3217: expected 1 fields, saw 2\\nSkipping line 3218: expected 1 fields, saw 2\\nSkipping line 3219: expected 1 fields, saw 2\\nSkipping line 3220: expected 1 fields, saw 2\\nSkipping line 3221: expected 1 fields, saw 2\\nSkipping line 3222: expected 1 fields, saw 2\\nSkipping line 3223: expected 1 fields, saw 2\\nSkipping line 3224: expected 1 fields, saw 2\\nSkipping line 3225: expected 1 fields, saw 2\\nSkipping line 3226: expected 1 fields, saw 2\\nSkipping line 3227: expected 1 fields, saw 2\\nSkipping line 3228: expected 1 fields, saw 2\\nSkipping line 3229: expected 1 fields, saw 2\\nSkipping line 3230: expected 1 fields, saw 2\\nSkipping line 3231: expected 1 fields, saw 2\\nSkipping line 3232: expected 1 fields, saw 2\\nSkipping line 3233: expected 1 fields, saw 2\\nSkipping line 3234: expected 1 fields, saw 2\\nSkipping line 3235: expected 1 fields, saw 2\\nSkipping line 3236: expected 1 fields, saw 2\\nSkipping line 3237: expected 1 fields, saw 2\\nSkipping line 3238: expected 1 fields, saw 2\\nSkipping line 3239: expected 1 fields, saw 2\\nSkipping line 3240: expected 1 fields, saw 2\\nSkipping line 3241: expected 1 fields, saw 2\\nSkipping line 3242: expected 1 fields, saw 2\\nSkipping line 3243: expected 1 fields, saw 2\\nSkipping line 3244: expected 1 fields, saw 2\\nSkipping line 3245: expected 1 fields, saw 2\\nSkipping line 3246: expected 1 fields, saw 2\\nSkipping line 3247: expected 1 fields, saw 2\\nSkipping line 3248: expected 1 fields, saw 2\\nSkipping line 3249: expected 1 fields, saw 2\\nSkipping line 3250: expected 1 fields, saw 2\\nSkipping line 3251: expected 1 fields, saw 2\\nSkipping line 3252: expected 1 fields, saw 2\\nSkipping line 3253: expected 1 fields, saw 2\\nSkipping line 3254: expected 1 fields, saw 2\\nSkipping line 3255: expected 1 fields, saw 2\\nSkipping line 3256: expected 1 fields, saw 2\\nSkipping line 3257: expected 1 fields, saw 2\\nSkipping line 3258: expected 1 fields, saw 2\\nSkipping line 3259: expected 1 fields, saw 2\\nSkipping line 3260: expected 1 fields, saw 2\\nSkipping line 3261: expected 1 fields, saw 2\\nSkipping line 3262: expected 1 fields, saw 2\\nSkipping line 3263: expected 1 fields, saw 2\\nSkipping line 3264: expected 1 fields, saw 2\\nSkipping line 3265: expected 1 fields, saw 2\\nSkipping line 3266: expected 1 fields, saw 2\\nSkipping line 3267: expected 1 fields, saw 2\\nSkipping line 3268: expected 1 fields, saw 2\\nSkipping line 3269: expected 1 fields, saw 2\\nSkipping line 3270: expected 1 fields, saw 2\\nSkipping line 3271: expected 1 fields, saw 2\\nSkipping line 3272: expected 1 fields, saw 2\\nSkipping line 3273: expected 1 fields, saw 2\\nSkipping line 3274: expected 1 fields, saw 2\\nSkipping line 3275: expected 1 fields, saw 2\\nSkipping line 3276: expected 1 fields, saw 2\\nSkipping line 3277: expected 1 fields, saw 2\\nSkipping line 3278: expected 1 fields, saw 2\\nSkipping line 3279: expected 1 fields, saw 2\\nSkipping line 3280: expected 1 fields, saw 2\\nSkipping line 3281: expected 1 fields, saw 2\\nSkipping line 3282: expected 1 fields, saw 2\\nSkipping line 3283: expected 1 fields, saw 2\\nSkipping line 3284: expected 1 fields, saw 2\\nSkipping line 3285: expected 1 fields, saw 2\\nSkipping line 3286: expected 1 fields, saw 2\\nSkipping line 3287: expected 1 fields, saw 2\\nSkipping line 3288: expected 1 fields, saw 2\\nSkipping line 3289: expected 1 fields, saw 2\\nSkipping line 3290: expected 1 fields, saw 2\\nSkipping line 3291: expected 1 fields, saw 2\\nSkipping line 3292: expected 1 fields, saw 2\\nSkipping line 3293: expected 1 fields, saw 2\\nSkipping line 3294: expected 1 fields, saw 2\\nSkipping line 3295: expected 1 fields, saw 2\\nSkipping line 3296: expected 1 fields, saw 2\\nSkipping line 3297: expected 1 fields, saw 2\\nSkipping line 3298: expected 1 fields, saw 2\\nSkipping line 3299: expected 1 fields, saw 2\\nSkipping line 3300: expected 1 fields, saw 2\\nSkipping line 3301: expected 1 fields, saw 2\\nSkipping line 3302: expected 1 fields, saw 2\\nSkipping line 3303: expected 1 fields, saw 2\\nSkipping line 3304: expected 1 fields, saw 2\\nSkipping line 3305: expected 1 fields, saw 2\\nSkipping line 3306: expected 1 fields, saw 2\\nSkipping line 3307: expected 1 fields, saw 2\\nSkipping line 3308: expected 1 fields, saw 2\\nSkipping line 3309: expected 1 fields, saw 2\\nSkipping line 3310: expected 1 fields, saw 2\\nSkipping line 3311: expected 1 fields, saw 2\\nSkipping line 3312: expected 1 fields, saw 2\\nSkipping line 3313: expected 1 fields, saw 2\\nSkipping line 3314: expected 1 fields, saw 2\\nSkipping line 3315: expected 1 fields, saw 2\\nSkipping line 3316: expected 1 fields, saw 2\\nSkipping line 3317: expected 1 fields, saw 2\\nSkipping line 3318: expected 1 fields, saw 2\\nSkipping line 3319: expected 1 fields, saw 2\\nSkipping line 3320: expected 1 fields, saw 2\\nSkipping line 3321: expected 1 fields, saw 2\\nSkipping line 3322: expected 1 fields, saw 2\\nSkipping line 3323: expected 1 fields, saw 2\\nSkipping line 3324: expected 1 fields, saw 2\\nSkipping line 3325: expected 1 fields, saw 2\\nSkipping line 3326: expected 1 fields, saw 2\\nSkipping line 3327: expected 1 fields, saw 2\\nSkipping line 3328: expected 1 fields, saw 2\\nSkipping line 3329: expected 1 fields, saw 2\\nSkipping line 3330: expected 1 fields, saw 2\\nSkipping line 3331: expected 1 fields, saw 2\\nSkipping line 3332: expected 1 fields, saw 2\\nSkipping line 3333: expected 1 fields, saw 2\\nSkipping line 3334: expected 1 fields, saw 2\\nSkipping line 3335: expected 1 fields, saw 2\\nSkipping line 3336: expected 1 fields, saw 2\\nSkipping line 3337: expected 1 fields, saw 2\\nSkipping line 3338: expected 1 fields, saw 2\\nSkipping line 3339: expected 1 fields, saw 2\\nSkipping line 3340: expected 1 fields, saw 2\\nSkipping line 3341: expected 1 fields, saw 2\\nSkipping line 3342: expected 1 fields, saw 2\\nSkipping line 3343: expected 1 fields, saw 2\\nSkipping line 3344: expected 1 fields, saw 2\\nSkipping line 3345: expected 1 fields, saw 2\\nSkipping line 3346: expected 1 fields, saw 2\\nSkipping line 3347: expected 1 fields, saw 2\\nSkipping line 3348: expected 1 fields, saw 2\\nSkipping line 3349: expected 1 fields, saw 2\\nSkipping line 3350: expected 1 fields, saw 2\\nSkipping line 3351: expected 1 fields, saw 2\\nSkipping line 3352: expected 1 fields, saw 2\\nSkipping line 3353: expected 1 fields, saw 2\\nSkipping line 3354: expected 1 fields, saw 2\\nSkipping line 3355: expected 1 fields, saw 2\\nSkipping line 3356: expected 1 fields, saw 2\\nSkipping line 3357: expected 1 fields, saw 2\\nSkipping line 3358: expected 1 fields, saw 2\\nSkipping line 3359: expected 1 fields, saw 2\\nSkipping line 3360: expected 1 fields, saw 2\\nSkipping line 3361: expected 1 fields, saw 2\\nSkipping line 3362: expected 1 fields, saw 2\\nSkipping line 3363: expected 1 fields, saw 2\\nSkipping line 3364: expected 1 fields, saw 2\\nSkipping line 3365: expected 1 fields, saw 2\\nSkipping line 3366: expected 1 fields, saw 2\\nSkipping line 3367: expected 1 fields, saw 2\\nSkipping line 3368: expected 1 fields, saw 2\\nSkipping line 3369: expected 1 fields, saw 2\\nSkipping line 3370: expected 1 fields, saw 2\\nSkipping line 3371: expected 1 fields, saw 2\\nSkipping line 3372: expected 1 fields, saw 2\\nSkipping line 3373: expected 1 fields, saw 2\\nSkipping line 3374: expected 1 fields, saw 2\\nSkipping line 3375: expected 1 fields, saw 2\\nSkipping line 3376: expected 1 fields, saw 2\\nSkipping line 3377: expected 1 fields, saw 2\\nSkipping line 3378: expected 1 fields, saw 2\\nSkipping line 3379: expected 1 fields, saw 2\\nSkipping line 3380: expected 1 fields, saw 2\\nSkipping line 3381: expected 1 fields, saw 2\\nSkipping line 3382: expected 1 fields, saw 2\\nSkipping line 3383: expected 1 fields, saw 2\\nSkipping line 3384: expected 1 fields, saw 2\\nSkipping line 3385: expected 1 fields, saw 2\\nSkipping line 3386: expected 1 fields, saw 2\\nSkipping line 3387: expected 1 fields, saw 2\\nSkipping line 3388: expected 1 fields, saw 2\\nSkipping line 3389: expected 1 fields, saw 2\\nSkipping line 3390: expected 1 fields, saw 2\\nSkipping line 3391: expected 1 fields, saw 2\\nSkipping line 3392: expected 1 fields, saw 2\\nSkipping line 3393: expected 1 fields, saw 2\\nSkipping line 3394: expected 1 fields, saw 2\\nSkipping line 3395: expected 1 fields, saw 2\\nSkipping line 3396: expected 1 fields, saw 2\\nSkipping line 3397: expected 1 fields, saw 2\\nSkipping line 3398: expected 1 fields, saw 2\\nSkipping line 3399: expected 1 fields, saw 2\\nSkipping line 3400: expected 1 fields, saw 2\\nSkipping line 3401: expected 1 fields, saw 2\\nSkipping line 3402: expected 1 fields, saw 2\\n'\n" + " indicated by the date in the.1 first column. \".1\n", + "\" \n", + "1958-03-29 316.19 NaN NaN NaN NaN NaN NaN NaN NaN\n", + "1958-04-05 317.31 NaN NaN NaN NaN NaN NaN NaN NaN\n", + "1958-04-12 317.69 NaN NaN NaN NaN NaN NaN NaN NaN\n", + "1958-04-19 317.58 NaN NaN NaN NaN NaN NaN NaN NaN\n", + "1958-04-26 316.48 NaN NaN NaN NaN NaN NaN NaN NaN\n" ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
-------------------------------------------------------------------------------------------
0Atmospheric CO2 concentrations (ppm) derived ...
1at Mauna Loa, Observatory, Hawaii: Latitude 1...
2...
3Source: R. F. Keeling, S. J. Walker, S. C. Pi...
4Scripps CO2 Program ( http://scrippsco2.ucsd....
5Scripps Institution of Oceanography (SIO) ...
6University of California ...
7La Jolla, California USA 92093-0244 ...
8...
9Status of data and correspondence: ...
10...
11These data are subject to revision based on r...
12about the data should be directed to Dr. Ralp...
13(sjwalker@ucsd.edu) and Stephen Piper (scpipe...
14...
15Baseline data in this file through 07-Jan-202...
16...
17----------------------------------------------...
18...
19Please cite as: ...
20...
21C. D. Keeling, S. C. Piper, R. B. Bacastow, M...
22H. A. Meijer, Exchanges of atmospheric CO2 an...
23oceans from 1978 to 2000. I. Global aspects,...
24Institution of Oceanography, San Diego, 88 pa...
25...
26If it is necessary to cite a peer-reviewed ar...
27...
28C. D. Keeling, S. C. Piper, R. B. Bacastow, M...
29H. A. Meijer, Atmospheric CO2 and 13CO2 excha...
30oceans from 1978 to 2000: observations and ca...
31editors, Ehleringer, J.R., T. E. Cerling, M. ...
32New York, 2005. ...
33...
34----------------------------------------------...
35...
36...
37The data file below contains 2 columns indica...
38concentrations in micro-mol CO2 per mole (ppm...
39SIO manometric mole fraction scale. These we...
40adjusted to 12:00 hours at middle day of each...
41indicated by the date in the first column. ...
\n", - "
" - ], - "text/plain": [ - " -------------------------------------------------------------------------------------------\n", - "0 Atmospheric CO2 concentrations (ppm) derived ... \n", - "1 at Mauna Loa, Observatory, Hawaii: Latitude 1... \n", - "2 ... \n", - "3 Source: R. F. Keeling, S. J. Walker, S. C. Pi... \n", - "4 Scripps CO2 Program ( http://scrippsco2.ucsd.... \n", - "5 Scripps Institution of Oceanography (SIO) ... \n", - "6 University of California ... \n", - "7 La Jolla, California USA 92093-0244 ... \n", - "8 ... \n", - "9 Status of data and correspondence: ... \n", - "10 ... \n", - "11 These data are subject to revision based on r... \n", - "12 about the data should be directed to Dr. Ralp... \n", - "13 (sjwalker@ucsd.edu) and Stephen Piper (scpipe... \n", - "14 ... \n", - "15 Baseline data in this file through 07-Jan-202... \n", - "16 ... \n", - "17 ----------------------------------------------... \n", - "18 ... \n", - "19 Please cite as: ... \n", - "20 ... \n", - "21 C. D. Keeling, S. C. Piper, R. B. Bacastow, M... \n", - "22 H. A. Meijer, Exchanges of atmospheric CO2 an... \n", - "23 oceans from 1978 to 2000. I. Global aspects,... \n", - "24 Institution of Oceanography, San Diego, 88 pa... \n", - "25 ... \n", - "26 If it is necessary to cite a peer-reviewed ar... \n", - "27 ... \n", - "28 C. D. Keeling, S. C. Piper, R. B. Bacastow, M... \n", - "29 H. A. Meijer, Atmospheric CO2 and 13CO2 excha... \n", - "30 oceans from 1978 to 2000: observations and ca... \n", - "31 editors, Ehleringer, J.R., T. E. Cerling, M. ... \n", - "32 New York, 2005. ... \n", - "33 ... \n", - "34 ----------------------------------------------... \n", - "35 ... \n", - "36 ... \n", - "37 The data file below contains 2 columns indica... \n", - "38 concentrations in micro-mol CO2 per mole (ppm... \n", - "39 SIO manometric mole fraction scale. These we... \n", - "40 adjusted to 12:00 hours at middle day of each... \n", - "41 indicated by the date in the first column. ... " - ] - }, - "execution_count": 46, - "metadata": {}, - "output_type": "execute_result" } ], - "source": [ - "raw_data = pd.read_csv(data_file, error_bad_lines=False)\n", - "raw_data" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], "source": [ "# Cargar datos desde el archivo CSV local\n", "file_path = \"https://scrippsco2.ucsd.edu/assets/data/atmospheric/stations/in_situ_co2/weekly/weekly_in_situ_co2_mlo.csv\" # Reemplaza con la ruta correcta a tu archivo\n", @@ -809,22 +558,35 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 22, "metadata": {}, "outputs": [], "source": [ - "data_co2\n" + "data_subset = data_co2.dropna()" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 24, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "# Visualizar el conjunto de datos\n", "plt.figure(figsize=(15, 6))\n", - "plt.plot(data_co2.index, label='CO2 Concentration')\n", + "plt.plot(data_co2, label='CO2 Concentration')\n", "plt.title('CO2 Concentration Over Time')\n", "plt.xlabel('Year')\n", "plt.ylabel('CO2 Concentration (ppm)')\n", @@ -835,13 +597,26 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 18, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "# Visualizar el conjunto de datos\n", "plt.figure(figsize=(15, 6))\n", - "plt.plot(data_co2)\n", + "plt.plot(data_co2[-300:], label='CO2 Concentration')\n", "plt.title('CO2 Concentration Over Time')\n", "plt.xlabel('Year')\n", "plt.ylabel('CO2 Concentration (ppm)')\n", -- 2.18.1