From ccaa8a46a5c6c1f3e49e6fc13d000fd7768de5db Mon Sep 17 00:00:00 2001 From: alexander-beedie Date: Wed, 26 Jul 2023 20:50:50 +0000 Subject: [PATCH] =?UTF-8?q?Deploying=20to=20gh-pages=20from=20@=20pola-rs/?= =?UTF-8?q?polars@b769edd5cff5db142705a64af4e4210c81261151=20=F0=9F=9A=80?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- py-polars/dev/searchindex.js | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/py-polars/dev/searchindex.js b/py-polars/dev/searchindex.js index 92692c77e8fd..7bce4104f4e6 100644 --- a/py-polars/dev/searchindex.js +++ b/py-polars/dev/searchindex.js @@ -1 +1 @@ -Search.setIndex({"docnames": ["index", "reference/api", "reference/api/polars.Array", "reference/api/polars.Binary", "reference/api/polars.Boolean", "reference/api/polars.Categorical", "reference/api/polars.Config.activate_decimals", "reference/api/polars.Config.load", "reference/api/polars.Config.restore_defaults", 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"polars.DataFrame.write_ipc", "polars.DataFrame.write_json", "polars.DataFrame.write_ndjson", "polars.DataFrame.write_parquet", "polars.DataType", "polars.Date", "polars.Datetime", "polars.Decimal", "polars.Duration", "polars.Float32", "polars.Float64", "polars.Int16", "polars.Int32", "polars.Int64", "polars.Int8", "polars.LazyFrame.sink_ipc", "polars.LazyFrame.sink_parquet", "polars.List", "polars.Null", "polars.Object", "polars.SQLContext.execute", "polars.SQLContext.register", "polars.SQLContext.register_globals", "polars.SQLContext.register_many", "polars.SQLContext.tables", "polars.SQLContext.unregister", "polars.StringCache", "polars.Struct", "polars.Time", "polars.UInt16", "polars.UInt32", "polars.UInt64", "polars.UInt8", "polars.Unknown", "polars.Utf8", "polars.align_frames", "polars.api.register_dataframe_namespace", "polars.api.register_expr_namespace", "polars.api.register_lazyframe_namespace", "polars.api.register_series_namespace", "polars.build_info", "polars.collect_all", "polars.concat", "polars.enable_string_cache", "polars.exceptions.ArrowError", "polars.exceptions.ColumnNotFoundError", "polars.exceptions.ComputeError", "polars.exceptions.DuplicateError", "polars.exceptions.InvalidOperationError", "polars.exceptions.NoDataError", "polars.exceptions.NoRowsReturnedError", "polars.exceptions.PolarsPanicError", "polars.exceptions.RowsError", "polars.exceptions.SchemaError", "polars.exceptions.SchemaFieldNotFoundError", "polars.exceptions.ShapeError", "polars.exceptions.StructFieldNotFoundError", "polars.exceptions.TooManyRowsReturnedError", "polars.from_arrow", "polars.from_dataframe", "polars.from_dict", "polars.from_dicts", "polars.from_numpy", "polars.from_pandas", "polars.from_records", "polars.from_repr", "polars.get_index_type", "polars.io.csv.batched_reader.BatchedCsvReader.next_batches", "polars.read_avro", "polars.read_csv", "polars.read_csv_batched", "polars.read_database", "polars.read_delta", "polars.read_excel", 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"polars.DataFrame.tail", "polars.DataFrame.take_every", "polars.DataFrame.to_arrow", "polars.DataFrame.to_dict", "polars.DataFrame.to_dicts", "polars.DataFrame.to_dummies", "polars.DataFrame.to_init_repr", "polars.DataFrame.to_numpy", "polars.DataFrame.to_pandas", "polars.DataFrame.to_series", "polars.DataFrame.to_struct", "polars.DataFrame.top_k", "polars.DataFrame.transpose", "polars.DataFrame.unique", "polars.DataFrame.unnest", "polars.DataFrame.unstack", "polars.DataFrame.update", "polars.DataFrame.upsample", "polars.DataFrame.var", "polars.DataFrame.vstack", "polars.DataFrame.width", "polars.DataFrame.with_columns", "polars.DataFrame.with_row_count", "polars.dataframe.groupby.GroupBy.__iter__", "polars.dataframe.groupby.GroupBy.agg", "polars.dataframe.groupby.GroupBy.all", "polars.dataframe.groupby.GroupBy.apply", "polars.dataframe.groupby.GroupBy.count", "polars.dataframe.groupby.GroupBy.first", "polars.dataframe.groupby.GroupBy.head", "polars.dataframe.groupby.GroupBy.last", 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"polars.Expr.dt.day", "polars.Expr.dt.days", "polars.Expr.dt.dst_offset", "polars.Expr.dt.epoch", "polars.Expr.dt.hour", "polars.Expr.dt.hours", "polars.Expr.dt.is_leap_year", "polars.Expr.dt.iso_year", "polars.Expr.dt.microsecond", "polars.Expr.dt.microseconds", "polars.Expr.dt.millisecond", "polars.Expr.dt.milliseconds", "polars.Expr.dt.minute", "polars.Expr.dt.minutes", "polars.Expr.dt.month", "polars.Expr.dt.month_end", "polars.Expr.dt.month_start", "polars.Expr.dt.nanosecond", "polars.Expr.dt.nanoseconds", "polars.Expr.dt.offset_by", "polars.Expr.dt.ordinal_day", "polars.Expr.dt.quarter", "polars.Expr.dt.replace_time_zone", "polars.Expr.dt.round", "polars.Expr.dt.second", "polars.Expr.dt.seconds", "polars.Expr.dt.strftime", "polars.Expr.dt.time", "polars.Expr.dt.timestamp", "polars.Expr.dt.to_string", "polars.Expr.dt.truncate", "polars.Expr.dt.week", "polars.Expr.dt.weekday", "polars.Expr.dt.with_time_unit", "polars.Expr.dt.year", "polars.Expr.entropy", "polars.Expr.eq", "polars.Expr.eq_missing", "polars.Expr.ewm_mean", "polars.Expr.ewm_std", "polars.Expr.ewm_var", "polars.Expr.exclude", "polars.Expr.exp", "polars.Expr.explode", "polars.Expr.extend_constant", "polars.Expr.fill_nan", "polars.Expr.fill_null", "polars.Expr.filter", "polars.Expr.first", "polars.Expr.flatten", "polars.Expr.floor", "polars.Expr.floordiv", "polars.Expr.forward_fill", "polars.Expr.from_json", "polars.Expr.ge", "polars.Expr.gt", "polars.Expr.hash", "polars.Expr.head", "polars.Expr.implode", "polars.Expr.inspect", "polars.Expr.interpolate", "polars.Expr.is_between", "polars.Expr.is_duplicated", "polars.Expr.is_finite", "polars.Expr.is_first", "polars.Expr.is_in", "polars.Expr.is_infinite", "polars.Expr.is_nan", "polars.Expr.is_not", "polars.Expr.is_not_nan", "polars.Expr.is_not_null", "polars.Expr.is_null", "polars.Expr.is_unique", "polars.Expr.keep_name", "polars.Expr.kurtosis", "polars.Expr.last", "polars.Expr.le", "polars.Expr.len", "polars.Expr.limit", 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346, 347, 348, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 587, 588, 590, 591, 592, 593, 594, 595, 596, 598, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 614, 615, 618, 619, 620, 621, 622, 623, 624, 626, 627, 628, 629, 630, 638, 649, 652, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 692, 693, 694, 695, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 734, 740, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 759, 765, 766, 768, 769, 771, 772, 773, 774, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 838, 839, 840, 841, 842, 845, 846, 847, 848, 849, 851, 854, 855, 856, 859, 860, 861, 862, 863, 864, 866, 867, 868, 869, 870, 871, 872, 873, 874, 876, 877, 878, 879, 881, 884, 885, 891, 892, 893, 894, 897, 898, 899, 901, 906, 907, 908, 910, 912, 913, 918, 919, 920, 921, 922, 923, 924, 925, 926, 932, 933, 934, 936, 937, 938, 941, 942, 943, 944, 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 956, 957, 959, 960, 961, 962, 964, 968, 969, 970, 971, 973, 974, 976, 978, 979, 980, 982, 983, 984, 985, 986, 987, 988, 989, 990, 991, 992, 993, 994, 995, 996, 997, 998, 1000, 1001, 1002, 1003, 1004, 1005, 1006, 1007, 1008, 1009, 1010, 1011, 1017, 1018, 1019, 1020, 1021, 1022, 1023, 1025, 1026, 1027, 1028, 1029, 1030, 1031, 1032, 1033, 1034, 1035, 1036, 1037, 1038, 1039, 1040, 1049, 1056], "dtype": [2, 31, 38, 70, 74, 75, 90, 92, 94, 96, 97, 101, 102, 108, 109, 112, 121, 122, 123, 124, 126, 132, 158, 159, 173, 216, 217, 218, 254, 268, 293, 294, 298, 299, 300, 307, 308, 355, 363, 405, 428, 435, 437, 439, 475, 476, 482, 483, 484, 485, 486, 488, 489, 490, 497, 517, 534, 547, 549, 553, 558, 567, 569, 580, 592, 596, 600, 601, 603, 604, 612, 615, 621, 630, 638, 670, 671, 676, 734, 737, 756, 757, 766, 768, 773, 774, 775, 776, 782, 783, 786, 787, 835, 839, 863, 869, 876, 888, 911, 918, 919, 943, 959, 966, 987, 1004, 1018, 1028, 1030, 1031, 1032, 1036, 1049, 1057], "method": [2, 3, 4, 5, 8, 27, 32, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 49, 50, 51, 56, 58, 59, 60, 61, 62, 63, 64, 65, 66, 74, 91, 101, 102, 105, 121, 130, 133, 142, 146, 157, 165, 170, 183, 189, 195, 196, 197, 223, 231, 236, 246, 254, 261, 264, 265, 268, 292, 348, 351, 358, 359, 366, 373, 376, 377, 382, 395, 398, 436, 454, 456, 460, 461, 463, 467, 468, 471, 473, 482, 483, 484, 485, 486, 488, 489, 490, 537, 545, 546, 555, 557, 562, 567, 579, 587, 613, 615, 626, 631, 632, 634, 638, 639, 640, 643, 644, 645, 646, 649, 659, 674, 690, 707, 712, 718, 728, 734, 743, 744, 828, 831, 845, 846, 859, 937, 938, 951, 1007, 1032, 1041, 1043, 1045, 1049, 1050, 1053, 1054, 1055], "attribut": [2, 3, 4, 5, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 49, 50, 51, 59, 60, 61, 62, 63, 64, 65, 66, 121, 254, 631, 632, 634, 639, 640, 644, 645, 646, 734, 1041, 1043, 1045, 1050, 1053, 1054, 1055], "A": [5, 28, 31, 52, 55, 73, 97, 101, 102, 103, 110, 112, 128, 152, 158, 173, 187, 213, 225, 226, 227, 231, 254, 260, 292, 310, 318, 358, 359, 366, 376, 377, 385, 388, 389, 391, 398, 429, 436, 437, 448, 460, 461, 478, 481, 482, 483, 484, 485, 486, 488, 489, 490, 509, 510, 515, 516, 518, 524, 525, 542, 577, 591, 595, 638, 670, 676, 692, 709, 712, 734, 737, 785, 794, 846, 946, 947, 948, 950, 953, 954, 955, 979, 980, 985, 986, 988, 994, 995, 1012, 1049, 1056], "encod": [5, 66, 101, 102, 112, 215, 254, 286, 287, 289, 290, 375, 511, 638, 761, 981], "set": [5, 6, 7, 8, 9, 10, 12, 14, 15, 18, 23, 24, 26, 28, 30, 31, 32, 33, 34, 47, 48, 67, 68, 91, 93, 96, 101, 102, 105, 106, 110, 112, 114, 115, 116, 119, 120, 122, 123, 124, 125, 126, 127, 128, 130, 132, 137, 142, 151, 157, 158, 159, 160, 170, 173, 179, 198, 200, 206, 215, 217, 222, 223, 225, 231, 254, 268, 355, 378, 387, 409, 415, 424, 428, 429, 430, 439, 466, 470, 481, 482, 483, 484, 485, 486, 488, 489, 490, 492, 498, 502, 503, 521, 527, 528, 533, 534, 535, 536, 539, 569, 573, 587, 588, 600, 601, 612, 615, 616, 617, 621, 626, 627, 629, 630, 638, 649, 659, 661, 669, 670, 671, 675, 676, 680, 684, 695, 700, 707, 712, 715, 718, 734, 743, 744, 835, 854, 867, 892, 898, 907, 911, 912, 913, 919, 946, 947, 948, 949, 950, 951, 953, 954, 955, 957, 961, 968, 972, 973, 991, 997, 998, 1003, 1004, 1005, 1006, 1009, 1030, 1049, 1057], "string": [5, 7, 9, 12, 13, 14, 18, 28, 31, 33, 34, 38, 52, 58, 66, 75, 97, 101, 102, 112, 121, 122, 123, 126, 129, 134, 152, 156, 157, 158, 159, 173, 187, 197, 200, 207, 216, 221, 222, 225, 227, 231, 234, 254, 261, 289, 295, 341, 345, 348, 351, 352, 365, 371, 375, 383, 416, 439, 450, 464, 466, 482, 483, 484, 485, 486, 488, 489, 490, 505, 508, 509, 512, 513, 514, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 542, 563, 564, 565, 566, 572, 575, 577, 578, 584, 585, 587, 588, 595, 605, 606, 609, 610, 618, 621, 622, 623, 626, 627, 638, 652, 661, 668, 669, 670, 671, 676, 695, 701, 706, 712, 715, 716, 734, 737, 763, 769, 821, 825, 828, 831, 832, 844, 860, 899, 977, 978, 979, 983, 984, 986, 987, 988, 989, 990, 991, 992, 993, 994, 995, 996, 997, 998, 999, 1000, 1001, 1002, 1003, 1004, 1005, 1006, 1008, 1010, 1011, 1012, 1028, 1049, 1057], "classmethod": [6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 375, 638, 668, 691, 734], "activ": [6, 10, 16, 17, 19, 20, 21, 22, 25, 292, 410, 516, 638, 893, 986], "bool": [6, 10, 14, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 28, 30, 31, 33, 35, 47, 48, 67, 73, 74, 75, 90, 91, 95, 97, 101, 102, 106, 109, 110, 112, 114, 115, 116, 117, 119, 120, 121, 122, 123, 124, 125, 126, 129, 132, 134, 135, 136, 148, 149, 151, 152, 153, 155, 156, 157, 158, 159, 163, 164, 166, 167, 168, 173, 185, 187, 197, 198, 201, 205, 207, 213, 215, 217, 218, 221, 222, 223, 224, 227, 229, 231, 238, 240, 241, 244, 254, 263, 264, 265, 266, 267, 268, 278, 284, 286, 287, 289, 290, 293, 304, 305, 306, 307, 308, 309, 310, 328, 344, 346, 352, 357, 358, 359, 360, 361, 362, 376, 377, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 396, 398, 401, 402, 406, 410, 425, 428, 431, 436, 437, 443, 444, 445, 446, 450, 460, 461, 463, 470, 473, 475, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 492, 494, 497, 498, 502, 504, 505, 509, 511, 513, 523, 524, 525, 529, 530, 532, 534, 535, 536, 539, 544, 556, 559, 562, 563, 564, 565, 566, 567, 569, 572, 573, 579, 582, 587, 588, 600, 601, 603, 612, 615, 621, 626, 627, 630, 638, 652, 654, 656, 661, 663, 665, 669, 670, 671, 675, 676, 680, 684, 689, 696, 699, 701, 706, 707, 708, 712, 720, 722, 723, 726, 734, 737, 741, 742, 743, 744, 753, 759, 761, 766, 773, 780, 781, 782, 783, 784, 785, 804, 824, 826, 832, 838, 840, 841, 842, 849, 853, 860, 861, 862, 863, 864, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 880, 884, 885, 889, 890, 893, 908, 911, 914, 933, 934, 936, 938, 939, 940, 941, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 957, 959, 961, 962, 967, 972, 974, 979, 981, 983, 993, 994, 995, 999, 1000, 1002, 1004, 1005, 1006, 1009, 1029, 1030, 1031, 1034, 1037, 1039, 1049, 1056], "decim": [6, 28, 31, 254, 491, 537, 638, 956, 1007, 1049], "temporari": 6, "remov": [6, 8, 140, 215, 226, 254, 268, 363, 438, 521, 527, 533, 534, 536, 592, 638, 658, 709, 734, 743, 991, 997, 1003, 1004, 1006, 1049], "later": [6, 587], "onc": [6, 55, 101, 102, 105, 128, 132, 133, 196, 198, 234, 254, 268, 492, 638, 653, 716, 734, 744, 957, 1049], "stabil": 6, "happen": [6, 470, 638, 936, 1049], "being": [6, 101, 102, 112, 117, 215, 225, 226, 254, 268, 309, 345, 482, 483, 484, 485, 486, 488, 489, 490, 492, 498, 591, 638, 709, 734, 784, 825, 856, 936, 1049, 1057], "consid": [6, 101, 102, 112, 117, 133, 142, 153, 179, 196, 223, 225, 226, 254, 268, 298, 299, 300, 309, 345, 437, 482, 483, 484, 485, 486, 488, 489, 490, 582, 594, 638, 659, 672, 679, 684, 707, 709, 718, 734, 744, 774, 775, 776, 784, 825, 856, 869, 936, 959, 960, 961, 1049], "break": [6, 117, 225, 226, 254, 268, 309, 310, 345, 470, 482, 483, 484, 485, 486, 488, 489, 490, 638, 709, 734, 784, 785, 825, 856, 936, 1049], "chang": [6, 26, 67, 101, 102, 117, 225, 226, 227, 254, 268, 309, 312, 345, 465, 482, 483, 484, 485, 486, 488, 489, 490, 492, 498, 638, 709, 734, 743, 784, 825, 856, 932, 936, 967, 1049], "current": [6, 9, 26, 54, 91, 97, 103, 129, 132, 135, 136, 172, 254, 324, 345, 429, 465, 638, 649, 654, 655, 675, 734, 737, 773, 777, 792, 800, 825, 932, 1049, 1056], "alpha": [6, 73, 268, 360, 361, 362, 638, 656, 661, 663, 689, 699, 734, 840, 841, 842, 1049], "state": [6, 8, 73, 83, 129, 582, 649, 656, 661, 663, 689, 699, 734], "cfg": [7, 8, 9, 15, 130], "path": [7, 9, 27, 28, 29, 30, 31, 32, 33, 34, 35, 47, 48, 100, 101, 102, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 254, 452, 494, 518, 638, 691, 699, 715, 734, 962, 988, 1049], "previous": 7, "save": [7, 158, 159, 173, 227, 254, 316, 324, 341, 345, 352, 482, 483, 484, 485, 486, 488, 489, 490, 638, 649, 670, 671, 676, 734, 800, 821, 825, 832], "share": [7, 58, 144, 254, 839, 1049], "option": [7, 8, 9, 26, 30, 31, 39, 67, 101, 104, 105, 106, 110, 113, 114, 116, 118, 121, 122, 123, 124, 125, 126, 127, 169, 173, 179, 213, 217, 222, 254, 396, 481, 482, 483, 484, 485, 486, 488, 489, 490, 502, 528, 603, 621, 629, 638, 649, 675, 676, 684, 734, 737, 876, 880, 946, 947, 948, 949, 950, 951, 953, 954, 955, 972, 998, 1027, 1049], "from": [7, 8, 28, 31, 52, 53, 54, 67, 74, 90, 91, 92, 93, 94, 95, 96, 97, 99, 100, 101, 102, 103, 104, 105, 106, 108, 109, 110, 112, 113, 114, 115, 116, 119, 120, 121, 122, 123, 124, 125, 126, 127, 139, 140, 144, 146, 151, 156, 158, 159, 170, 171, 173, 174, 179, 187, 191, 195, 197, 198, 200, 215, 222, 223, 225, 227, 254, 304, 311, 316, 317, 318, 319, 320, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 350, 351, 352, 353, 354, 355, 356, 359, 363, 375, 382, 396, 429, 458, 459, 461, 465, 466, 472, 482, 483, 485, 488, 489, 490, 492, 505, 515, 516, 517, 523, 534, 535, 536, 539, 557, 559, 570, 571, 575, 586, 587, 588, 589, 590, 615, 620, 625, 626, 627, 637, 638, 658, 663, 668, 670, 671, 676, 684, 691, 692, 695, 707, 713, 734, 737, 743, 790, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 839, 845, 876, 880, 912, 928, 929, 930, 932, 957, 985, 986, 987, 993, 1004, 1005, 1006, 1009, 1037, 1040, 1049, 1056, 1057], "json": [7, 9, 33, 34, 108, 109, 115, 254, 375, 452, 517, 518, 638, 649, 668, 691, 715, 734, 987, 988], "file": [7, 9, 27, 28, 32, 33, 34, 35, 47, 48, 100, 101, 102, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 146, 254, 452, 663, 691, 715, 734, 743, 845, 1049], "produc": [7, 123, 124, 126, 407, 447, 587, 588, 604, 680, 734, 890], "filepath": 7, "same": [7, 18, 30, 31, 56, 58, 67, 73, 74, 75, 106, 112, 122, 130, 133, 140, 157, 197, 207, 223, 231, 234, 236, 254, 260, 267, 443, 446, 464, 481, 482, 483, 484, 485, 486, 488, 489, 490, 505, 544, 549, 576, 587, 638, 658, 669, 680, 701, 707, 712, 716, 734, 739, 743, 744, 794, 946, 947, 948, 949, 950, 951, 953, 954, 955, 1040, 1049], "reset": [8, 130], "default": [8, 13, 26, 27, 28, 30, 31, 32, 33, 34, 35, 48, 67, 74, 90, 92, 93, 94, 95, 96, 97, 101, 102, 105, 108, 109, 110, 112, 121, 122, 123, 124, 125, 126, 142, 144, 157, 159, 160, 170, 172, 173, 179, 185, 187, 195, 196, 197, 198, 208, 215, 223, 225, 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231, 254, 263, 286, 318, 358, 359, 366, 373, 376, 377, 383, 398, 436, 454, 456, 460, 461, 467, 509, 524, 525, 545, 555, 563, 564, 565, 566, 569, 573, 575, 577, 578, 584, 585, 586, 587, 588, 589, 600, 601, 603, 605, 606, 609, 610, 612, 615, 618, 621, 622, 623, 625, 626, 627, 630, 638, 665, 695, 709, 712, 734, 737, 760, 794, 846, 860, 960, 961, 979, 994, 995, 1049, 1056], "left": [14, 31, 54, 67, 119, 120, 158, 159, 172, 173, 226, 254, 360, 361, 362, 382, 383, 482, 483, 484, 485, 486, 488, 489, 490, 493, 520, 542, 553, 575, 582, 583, 587, 588, 594, 614, 626, 627, 629, 638, 670, 671, 675, 676, 709, 734, 840, 841, 842, 860, 958, 990, 1012, 1032, 1049], "center": [14, 31, 254, 360, 361, 362, 481, 482, 483, 484, 485, 486, 488, 489, 490, 638, 840, 841, 842, 946, 947, 948, 949, 950, 951, 953, 954, 955, 1049], "right": [14, 16, 31, 101, 102, 119, 120, 158, 159, 172, 173, 254, 310, 360, 361, 362, 383, 409, 415, 430, 470, 482, 483, 484, 485, 486, 488, 489, 490, 493, 502, 526, 575, 587, 588, 626, 627, 638, 670, 671, 675, 676, 734, 785, 840, 841, 842, 860, 892, 898, 913, 936, 958, 972, 996, 1049], "cell": [14, 31, 254], "align": [14, 31, 67, 74, 254, 542, 1012], "keyerror": [14, 18], "recognis": [14, 18, 121], "column_abc": 14, "column_xyz": 14, "visibl": [15, 144, 254, 839, 1049], "eg": [15, 23, 31, 103, 254, 345, 534, 536, 555, 638, 1004, 1006], "low": [15, 128], "rang": [15, 31, 103, 139, 144, 158, 171, 254, 310, 311, 322, 336, 342, 343, 345, 352, 353, 382, 470, 569, 577, 586, 587, 588, 589, 600, 601, 625, 626, 627, 638, 670, 734, 785, 786, 798, 816, 822, 823, 825, 832, 833, 839, 932, 936, 1049], "100": [15, 31, 93, 96, 101, 102, 112, 115, 254, 517, 537, 542, 734, 947, 948, 950, 987, 1007, 1049, 1057], "98": [15, 164, 254, 291, 504, 537, 549, 554, 638, 1007], "99": [15, 31, 147, 148, 164, 167, 254, 262, 291, 366, 368, 504, 549, 554, 638, 664, 665, 734, 838, 846, 1049], "tbl_col": 15, "10": [15, 27, 28, 30, 31, 32, 35, 48, 52, 67, 74, 97, 103, 112, 124, 126, 136, 146, 155, 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"ascii_ful": 18, "ascii_full_condens": 18, "ascii_no_bord": 18, "ascii_borders_onli": 18, "ascii_borders_only_condens": 18, "ascii_horizontal_onli": 18, "ascii_markdown": 18, "utf8_ful": [18, 67, 97], "utf8_full_condens": [18, 97], "utf8_no_bord": 18, "utf8_borders_onli": 18, "utf8_horizontal_onli": 18, "noth": [18, 292, 510, 515, 518, 638, 980, 985, 988], "rounded_corn": 18, "style": [18, 31, 187, 254], "border": 18, "line": [18, 31, 101, 102, 105, 112, 156, 166, 168, 254, 515, 985], "includ": [18, 26, 28, 30, 31, 72, 104, 113, 124, 134, 139, 144, 158, 185, 197, 221, 222, 225, 254, 310, 346, 383, 470, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 527, 529, 530, 533, 582, 616, 617, 638, 652, 670, 706, 734, 785, 786, 826, 839, 860, 936, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 999, 1000, 1003, 1039, 1049], "divid": [18, 345, 352, 360, 361, 362, 396, 638, 825, 832, 840, 841, 842, 880, 1049], "dens": [18, 156, 254, 473, 638, 938, 1049], "space": [18, 158, 254, 470, 638, 670, 734, 936, 1049], "horizont": [18, 74, 152, 163, 225, 254, 563, 564, 565, 566, 577, 578, 582, 583, 584, 585, 591, 594, 605, 606, 609, 610, 614, 622, 623], "markdown": 18, "compat": [18, 31, 35, 48, 254, 509, 510, 515, 516, 524, 525, 734, 737, 979, 980, 985, 986, 994, 995], "No": [18, 540, 1010], "appli": [18, 28, 31, 52, 74, 112, 121, 124, 126, 152, 186, 254, 320, 321, 322, 326, 328, 329, 330, 332, 334, 336, 339, 342, 343, 346, 349, 353, 354, 356, 361, 362, 437, 466, 481, 482, 483, 485, 489, 524, 534, 535, 536, 539, 562, 582, 583, 594, 604, 614, 638, 672, 679, 680, 688, 734, 796, 797, 798, 802, 804, 805, 809, 811, 814, 816, 819, 822, 823, 826, 829, 833, 834, 836, 841, 842, 946, 947, 948, 950, 954, 994, 1004, 1005, 1006, 1009, 1049], "round": [18, 31, 69, 97, 254, 297, 372, 551, 638, 771, 851, 1049], "corner": [18, 31, 97, 254], "op": [18, 126, 254, 292, 476, 534, 536, 638, 734, 1004, 1006, 1049], "one": [18, 29, 31, 57, 67, 82, 90, 92, 93, 94, 95, 96, 108, 109, 125, 126, 127, 130, 148, 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515, 985], "en": [18, 31, 254], "wikipedia": 18, "org": [18, 91, 103, 132, 138, 254], "wiki": 18, "drawing_charact": 18, "box_draw": 18, "mno": 18, "tbl_format": 18, "tbl_hide_column_data_typ": 18, "tbl_hide_dataframe_shap": 18, "hide": [19, 20, 21, 22, 31, 254], "etc": [19, 30, 31, 101, 104, 106, 110, 113, 114, 116, 254, 737, 960, 961, 1049], "inform": [21, 72, 104, 113, 138, 254, 298, 299, 300, 396, 502, 509, 515, 516, 524, 587, 588, 638, 689, 734, 774, 775, 776, 880, 972, 979, 985, 986, 994, 1049], "separ": [22, 28, 99, 101, 102, 112, 185, 187, 215, 222, 224, 254, 268, 411, 416, 514, 578, 582, 583, 638, 708, 734, 894, 899, 984, 1017, 1026, 1049], "between": [22, 74, 121, 122, 124, 126, 138, 189, 246, 254, 293, 313, 383, 409, 415, 416, 430, 465, 470, 471, 486, 492, 498, 508, 570, 571, 579, 581, 613, 616, 617, 638, 690, 728, 734, 766, 788, 860, 892, 898, 899, 913, 932, 936, 937, 951, 978, 1049], "set_tbl_column_data_type_inlin": 22, "max": [23, 31, 35, 48, 52, 128, 139, 148, 157, 158, 159, 187, 254, 298, 299, 305, 368, 429, 464, 473, 482, 494, 531, 606, 619, 638, 665, 669, 670, 671, 734, 774, 775, 780, 786, 848, 912, 938, 947, 962, 1001, 1049], "both": [23, 28, 58, 158, 159, 172, 173, 180, 195, 254, 267, 383, 482, 483, 484, 485, 486, 488, 489, 490, 587, 588, 626, 627, 638, 648, 670, 671, 675, 676, 685, 734, 860, 869, 1049], "tbl_row": 23, "char": [24, 58, 75, 516, 522, 986, 992], "enabl": [25, 75, 129, 200, 231, 254, 494, 638, 695, 712, 734, 962, 1049], "addit": [25, 30, 31, 93, 104, 113, 122, 140, 145, 157, 185, 200, 201, 207, 224, 231, 234, 254, 261, 324, 363, 366, 464, 505, 509, 515, 516, 524, 563, 565, 572, 575, 576, 577, 578, 584, 592, 605, 609, 618, 621, 622, 638, 658, 662, 669, 695, 696, 701, 708, 712, 716, 734, 792, 800, 846, 979, 985, 986, 994, 1049], "verbos": [25, 130, 516, 986], "debug": [25, 656, 663, 680, 734, 1057], "log": [25, 69, 291, 357, 434, 456, 467, 554, 638, 765, 838, 1033, 1049], "if_set": 26, "env_onli": 26, "dict": [26, 30, 31, 35, 55, 68, 70, 72, 90, 92, 93, 94, 95, 96, 101, 102, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 116, 124, 151, 170, 185, 191, 195, 196, 197, 199, 213, 214, 222, 254, 264, 266, 310, 439, 470, 480, 638, 692, 694, 734, 919, 1049], "show": [26, 31, 56, 142, 156, 174, 184, 254, 659, 689, 699, 734], "variabl": [26, 49, 54, 125, 128, 179, 215, 254, 684, 734, 1026, 1049, 1056], "restrict": [26, 531, 587, 588, 1001], "dictionari": [26, 31, 90, 92, 93, 94, 96, 101, 102, 107, 108, 109, 111, 112, 170, 185, 195, 196, 197, 213, 214, 254, 439, 638, 734, 919, 1049], "those": [26, 31, 101, 197, 254, 473, 515, 638, 737, 938, 985, 1049], "been": [26, 31, 254, 473, 482, 483, 484, 485, 486, 488, 489, 490, 569, 638, 938, 1049], "set_fmt_float": 26, "directli": [26, 54, 124, 126, 130, 197, 254, 360, 361, 362, 615, 638, 734, 840, 841, 842, 1049, 1057], "via": [26, 101, 102, 105, 112, 114, 115, 116, 170, 196, 254, 268, 638], "set_stat": 26, "all_stat": 26, "binaryio": [27, 32, 100, 101, 105, 106, 107, 110, 111, 254], "bytesio": [27, 28, 31, 32, 35, 100, 101, 102, 105, 106, 110, 254], "compress": [27, 32, 35, 47, 48, 254, 734], "avrocompress": [27, 254], "uncompress": [27, 32, 35, 48, 106, 114, 254, 734], "write": [27, 28, 29, 30, 31, 32, 33, 35, 48, 102, 106, 130, 254, 298, 299, 300, 452, 638, 678, 699, 715, 734, 774, 775, 776, 1049], "apach": [27, 35, 100, 103, 254], "avro": [27, 100, 254, 649], "should": [27, 28, 29, 31, 32, 33, 34, 35, 47, 48, 74, 90, 92, 94, 96, 104, 108, 109, 112, 121, 122, 126, 132, 133, 134, 140, 158, 159, 170, 173, 195, 196, 197, 214, 215, 221, 224, 227, 236, 254, 262, 268, 295, 309, 310, 341, 345, 352, 355, 363, 389, 391, 410, 470, 481, 482, 483, 484, 485, 486, 488, 489, 490, 493, 502, 576, 592, 599, 603, 616, 617, 629, 638, 652, 658, 670, 671, 675, 676, 680, 699, 701, 706, 708, 715, 734, 737, 744, 769, 784, 785, 821, 825, 832, 835, 893, 936, 946, 947, 948, 949, 950, 951, 953, 954, 955, 958, 972, 1049], "snappi": [27, 35, 48, 254, 734], "deflat": [27, 254], "import": [27, 28, 31, 32, 35, 38, 67, 90, 94, 95, 112, 117, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 139, 156, 158, 171, 173, 217, 218, 225, 227, 254, 311, 316, 317, 318, 319, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 333, 334, 335, 336, 337, 338, 340, 341, 342, 343, 344, 345, 346, 347, 348, 350, 351, 352, 353, 354, 355, 356, 482, 483, 485, 488, 489, 490, 570, 571, 587, 588, 590, 626, 627, 638, 649, 670, 676, 680, 734, 778, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 864, 868, 870, 871, 876, 946, 970, 1022, 1049, 1057], "pathlib": [27, 28, 32, 35, 112, 254], "foo": [27, 28, 30, 32, 33, 34, 35, 56, 133, 137, 138, 140, 141, 142, 143, 146, 149, 150, 152, 153, 154, 155, 160, 161, 162, 163, 164, 165, 167, 172, 176, 177, 178, 181, 184, 187, 189, 191, 192, 193, 195, 198, 199, 200, 202, 203, 204, 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675, 687, 692, 694, 695, 707, 708, 711, 715, 734, 737, 768, 899, 972, 982, 984, 1001, 1049], "ham": [27, 28, 30, 32, 35, 137, 138, 140, 141, 142, 143, 149, 150, 153, 160, 161, 163, 172, 176, 177, 178, 181, 184, 189, 191, 193, 195, 198, 199, 200, 203, 204, 206, 208, 209, 210, 215, 216, 217, 218, 219, 223, 228, 229, 254, 294, 576, 657, 658, 659, 660, 666, 675, 687, 692, 694, 695, 707, 713, 734, 768], "d": [27, 28, 30, 31, 32, 35, 58, 75, 93, 117, 139, 156, 158, 160, 161, 164, 172, 210, 212, 225, 229, 237, 238, 240, 241, 242, 243, 244, 245, 246, 247, 254, 261, 263, 325, 348, 351, 383, 466, 497, 510, 516, 530, 534, 535, 536, 575, 596, 638, 670, 675, 719, 720, 722, 723, 724, 725, 726, 727, 728, 729, 734, 801, 828, 831, 860, 980, 986, 1000, 1004, 1005, 1006, 1049], "e": [27, 28, 30, 32, 35, 58, 75, 91, 101, 102, 105, 106, 110, 114, 116, 139, 156, 158, 159, 161, 173, 210, 212, 217, 225, 227, 254, 261, 268, 341, 345, 352, 357, 363, 383, 432, 439, 482, 483, 484, 485, 486, 488, 489, 490, 497, 502, 592, 629, 638, 670, 671, 676, 678, 692, 734, 737, 821, 825, 832, 838, 860, 959, 972, 1030, 1049], "dirpath": [27, 28, 32, 35, 112, 254], "new_fil": [27, 28, 32, 35, 254], "has_head": [28, 31, 101, 102, 105, 112, 254], "quot": [28, 29, 101, 102, 112, 254], "batch_siz": [28, 101, 102, 115, 254], "1024": [28, 48, 101, 102, 115, 254, 734], "datetime_format": [28, 254], "date_format": [28, 254], "time_format": [28, 254], "float_precis": [28, 31, 254], "null_valu": [28, 101, 102, 112, 254], "textiowrapp": [28, 254], "comma": [28, 254], "csv": [28, 47, 48, 101, 102, 105, 112, 254, 649, 734], "result": [28, 33, 34, 47, 48, 67, 74, 94, 96, 103, 104, 112, 114, 116, 117, 126, 146, 158, 159, 172, 183, 197, 204, 218, 227, 234, 254, 268, 310, 348, 351, 360, 361, 362, 366, 396, 429, 437, 464, 470, 477, 481, 482, 483, 484, 485, 486, 488, 489, 490, 494, 496, 529, 530, 536, 555, 569, 582, 583, 587, 588, 604, 612, 615, 616, 617, 630, 638, 653, 670, 671, 675, 680, 689, 698, 715, 716, 734, 743, 744, 828, 831, 840, 841, 842, 845, 880, 936, 942, 946, 947, 948, 949, 950, 951, 953, 954, 955, 962, 965, 999, 1000, 1006, 1030, 1049, 1056, 1057], "If": [28, 29, 30, 31, 32, 33, 34, 48, 52, 58, 72, 74, 90, 91, 92, 93, 94, 95, 96, 101, 102, 104, 105, 106, 108, 109, 110, 112, 113, 114, 115, 116, 125, 132, 133, 134, 142, 146, 156, 158, 159, 161, 169, 170, 173, 175, 179, 183, 196, 197, 198, 206, 210, 214, 215, 217, 221, 222, 223, 225, 226, 254, 264, 266, 268, 298, 299, 300, 310, 318, 337, 338, 352, 369, 396, 424, 429, 437, 439, 450, 464, 470, 473, 475, 477, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 492, 493, 498, 502, 503, 517, 519, 521, 522, 527, 528, 529, 530, 531, 533, 534, 535, 536, 539, 563, 565, 567, 569, 573, 579, 580, 582, 584, 587, 588, 594, 600, 601, 603, 605, 609, 612, 615, 616, 617, 621, 622, 626, 627, 629, 630, 638, 652, 659, 661, 670, 671, 675, 676, 680, 684, 692, 700, 706, 707, 709, 715, 718, 734, 737, 743, 744, 774, 775, 776, 785, 794, 817, 818, 832, 845, 853, 855, 856, 879, 880, 882, 907, 912, 936, 938, 940, 942, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 957, 958, 962, 968, 972, 973, 987, 989, 991, 992, 997, 998, 999, 1000, 1001, 1003, 1004, 1005, 1006, 1009, 1019, 1025, 1030, 1039, 1049, 1056], "instead": [28, 33, 34, 52, 56, 67, 74, 101, 110, 124, 133, 158, 159, 170, 173, 183, 185, 195, 196, 197, 200, 218, 227, 231, 254, 278, 310, 341, 345, 352, 470, 482, 483, 484, 485, 486, 488, 489, 490, 519, 521, 527, 533, 563, 565, 569, 573, 584, 587, 588, 600, 601, 605, 609, 612, 615, 621, 622, 626, 627, 630, 638, 664, 670, 671, 676, 695, 712, 715, 734, 737, 753, 785, 821, 825, 832, 936, 960, 961, 989, 991, 997, 1003, 1031, 1049, 1056], "whether": [28, 94, 96, 126, 134, 201, 221, 254, 310, 328, 346, 401, 402, 444, 445, 470, 494, 638, 652, 680, 696, 701, 706, 734, 737, 785, 804, 826, 884, 885, 936, 1049, 1056], "header": [28, 31, 35, 48, 97, 101, 102, 105, 112, 143, 187, 222, 254, 734], "field": [28, 59, 86, 88, 93, 217, 224, 254, 429, 439, 479, 516, 517, 530, 531, 544, 582, 583, 604, 621, 638, 708, 734, 785, 912, 936, 944, 998, 1000, 1001, 1015, 1017, 1049], "symbol": [28, 254], "byte": [28, 48, 101, 102, 105, 106, 107, 108, 109, 110, 111, 112, 144, 254, 286, 289, 290, 519, 522, 734, 760, 763, 764, 839, 989, 992, 1049], "specifi": [28, 31, 67, 77, 86, 88, 105, 124, 134, 140, 144, 145, 148, 157, 158, 159, 172, 185, 195, 197, 200, 201, 207, 221, 224, 231, 234, 254, 360, 361, 362, 363, 368, 439, 464, 476, 482, 483, 484, 485, 486, 488, 489, 490, 505, 520, 526, 563, 565, 572, 575, 576, 577, 578, 584, 587, 588, 592, 605, 609, 618, 621, 622, 626, 627, 638, 652, 658, 662, 665, 669, 670, 671, 675, 695, 696, 701, 706, 708, 712, 716, 734, 839, 840, 841, 842, 848, 990, 996, 1049], "defin": [28, 31, 38, 121, 122, 124, 133, 158, 159, 183, 186, 236, 254, 268, 383, 428, 466, 480, 482, 483, 484, 485, 486, 488, 489, 490, 567, 587, 588, 603, 621, 626, 627, 638, 670, 671, 688, 718, 734, 737, 744, 860, 911, 945, 1049], "chrono": [28, 254, 348, 351, 534, 535, 536, 539, 828, 831, 1004, 1005, 1006, 1009], "rust": [28, 35, 83, 106, 110, 133, 236, 254, 744, 1049], "crate": [28, 254, 509, 510, 515, 516, 524, 525, 534, 535, 536, 539, 737, 979, 980, 985, 986, 994, 995, 1004, 1005, 1006, 1009], "fraction": [28, 119, 120, 198, 254, 346, 465, 492, 534, 536, 638, 826, 932, 957, 1004, 1006, 1049], "second": [28, 123, 158, 159, 173, 227, 254, 341, 345, 352, 482, 483, 484, 485, 486, 488, 489, 490, 534, 536, 589, 590, 625, 629, 638, 670, 671, 676, 734, 737, 821, 825, 832, 1004, 1006, 1057], "precis": [28, 31, 38, 39, 170, 196, 197, 214, 254, 317, 537, 737, 793, 1007], "infer": [28, 90, 92, 93, 94, 95, 96, 101, 102, 105, 108, 109, 112, 115, 133, 254, 477, 517, 534, 535, 536, 537, 539, 615, 638, 734, 942, 987, 1004, 1005, 1006, 1007, 1009, 1049], "maximum": [28, 101, 102, 112, 122, 123, 124, 126, 176, 254, 403, 440, 458, 473, 605, 606, 638, 681, 734, 774, 806, 886, 920, 928, 933, 938, 1049], "timeunit": [28, 38, 40, 254, 317, 318, 350, 355, 536, 587, 588, 737, 793, 794, 830, 835, 1006], "frame": [28, 29, 31, 52, 53, 54, 55, 56, 57, 67, 74, 93, 119, 124, 133, 135, 170, 171, 180, 183, 186, 195, 196, 197, 218, 225, 254, 654, 685, 688, 734, 737, 773, 1049, 1056, 1057], "datetim": [28, 31, 67, 97, 124, 139, 156, 158, 159, 171, 173, 227, 254, 316, 317, 318, 319, 320, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 406, 482, 483, 484, 485, 486, 488, 489, 490, 534, 536, 553, 587, 588, 590, 596, 603, 626, 627, 638, 670, 671, 676, 734, 737, 791, 792, 793, 794, 795, 796, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 876, 889, 890, 928, 929, 961, 1004, 1006, 1032, 1049], "place": [28, 134, 141, 146, 163, 164, 187, 192, 197, 203, 204, 207, 221, 229, 254, 278, 416, 423, 495, 496, 504, 638, 652, 697, 698, 701, 706, 734, 743, 753, 845, 899, 906, 939, 941, 964, 965, 974, 1049], "float64": [28, 31, 93, 101, 124, 143, 144, 152, 199, 218, 231, 254, 270, 271, 272, 273, 274, 275, 293, 301, 302, 311, 346, 363, 389, 391, 472, 500, 501, 551, 552, 576, 592, 612, 615, 630, 638, 660, 694, 712, 734, 737, 826, 1031, 1036, 1049], "repres": [28, 50, 65, 90, 92, 94, 95, 96, 208, 228, 233, 254, 389, 391, 507, 560, 563, 576, 579, 592, 603, 616, 617, 620, 628, 638, 702, 710, 734, 961, 976, 1038, 1049], "empti": [28, 81, 93, 101, 102, 105, 112, 135, 136, 158, 167, 179, 254, 603, 618, 654, 655, 670, 684, 734, 737, 773, 777, 863, 1049], "table_nam": [29, 31, 254], "connection_uri": [29, 103, 254], "if_exist": [29, 254], "dbwritemod": [29, 254], "fail": [29, 30, 91, 104, 106, 109, 113, 132, 223, 254, 279, 349, 429, 534, 535, 536, 539, 638, 707, 734, 744, 1004, 1005, 1006, 1009, 1049], "dbwriteengin": [29, 254], "sqlalchemi": [29, 254], "databas": [29, 103, 254, 649], "creat": [29, 31, 90, 94, 96, 113, 122, 123, 124, 125, 126, 127, 135, 136, 158, 159, 184, 187, 227, 231, 254, 318, 345, 352, 429, 474, 482, 483, 485, 488, 489, 490, 528, 559, 577, 586, 587, 588, 589, 590, 625, 626, 627, 638, 654, 655, 661, 670, 671, 712, 734, 773, 777, 790, 794, 825, 832, 930, 939, 998, 1030, 1049, 1056, 1057], "append": [29, 30, 124, 146, 172, 173, 254, 310, 470, 474, 587, 588, 629, 638, 675, 676, 734, 845, 1049], "your": [29, 31, 67, 101, 102, 119, 120, 133, 170, 196, 197, 200, 214, 231, 234, 236, 254, 268, 534, 535, 536, 567, 638, 656, 672, 679, 680, 695, 712, 716, 718, 734, 744, 1004, 1005, 1006, 1049, 1057], "special": [29, 101, 102, 112, 254, 516, 744, 986, 1049], "connect": [29, 101, 103, 106, 110, 114, 116, 117, 254, 650], "uri": [29, 30, 103, 104, 113, 254], "postgresql": [29, 103, 254, 464, 638], "user": [29, 103, 133, 186, 236, 254, 268, 437, 466, 494, 567, 587, 638, 688, 718, 734, 744, 962, 1049], "pass": [29, 31, 35, 55, 67, 92, 103, 105, 112, 122, 124, 126, 134, 138, 140, 157, 158, 159, 161, 175, 185, 186, 200, 207, 210, 221, 227, 231, 234, 254, 268, 325, 344, 366, 381, 464, 466, 482, 483, 484, 485, 486, 488, 489, 490, 505, 521, 527, 533, 563, 565, 572, 576, 584, 587, 596, 605, 609, 621, 622, 638, 652, 658, 669, 670, 671, 673, 680, 688, 695, 699, 701, 706, 712, 716, 718, 734, 744, 801, 824, 846, 855, 882, 991, 997, 1003, 1019, 1049], "server": [29, 103, 254], "port": [29, 101, 103, 106, 110, 114, 116, 254], "sqlite": [29, 254], "db": [29, 103, 254], "replac": [29, 30, 101, 102, 112, 147, 148, 193, 222, 231, 254, 318, 344, 439, 525, 569, 638, 664, 712, 734, 794, 824, 919, 960, 961, 995, 1049], "insert": [29, 101, 102, 106, 110, 112, 114, 115, 116, 164, 192, 222, 224, 254, 493, 508, 542, 638, 708, 734, 958, 978, 1012, 1049], "mode": [29, 30, 52, 254, 516, 612, 615, 630, 638, 734, 986, 1049, 1056], "new": [29, 30, 31, 112, 130, 133, 142, 163, 164, 183, 184, 191, 192, 211, 222, 224, 225, 231, 254, 263, 318, 365, 382, 438, 524, 525, 530, 531, 543, 544, 550, 569, 638, 649, 659, 692, 705, 708, 712, 718, 734, 740, 790, 794, 844, 930, 941, 994, 995, 1000, 1001, 1013, 1015, 1021, 1027, 1049, 1056], "alreadi": [29, 30, 254, 309, 410, 638, 784, 893, 1049], "adbc": [29, 103, 254], "deltalak": [30, 104, 113, 118, 254], "deltat": [30, 254], "ignor": [30, 123, 124, 126, 177, 209, 254, 312, 344, 360, 361, 362, 408, 458, 459, 638, 787, 824, 840, 841, 842, 891, 928, 929, 1049], "overwrite_schema": [30, 254], "storage_opt": [30, 101, 104, 106, 110, 113, 114, 116, 254], "delta_write_opt": [30, 254], "delta": [30, 40, 104, 113, 208, 228, 254, 488, 490, 507, 560, 579, 616, 617, 620, 628, 638, 649, 702, 710, 734, 953, 955, 976, 1038, 1049], "like": [30, 91, 100, 101, 102, 105, 106, 107, 108, 109, 110, 111, 112, 166, 168, 172, 217, 254, 316, 410, 451, 473, 515, 587, 588, 622, 626, 627, 638, 663, 691, 734, 743, 792, 893, 938, 985, 1049], "categor": [30, 58, 75, 172, 215, 216, 254, 294, 295, 439, 553, 638, 737, 767, 768, 769, 785, 936, 1032, 1049], "protocol": [30, 91, 103, 132, 254], "object": [30, 31, 32, 35, 57, 74, 91, 92, 97, 100, 101, 102, 104, 105, 106, 107, 108, 109, 110, 111, 113, 122, 124, 126, 132, 157, 158, 159, 174, 197, 217, 218, 254, 587, 588, 603, 626, 627, 649, 670, 671, 691, 734, 737, 767, 791, 883, 977, 1025, 1049], "handl": [30, 74, 97, 101, 102, 112, 117, 254, 312, 408, 542, 638, 787, 891, 1012, 1049], "throw": [30, 91, 254, 293, 517, 518, 638, 766, 987, 988, 1049], "add": [30, 31, 102, 133, 146, 158, 231, 232, 254, 468, 546, 590, 594, 629, 638, 670, 675, 712, 713, 714, 734, 743, 845, 1049], "anyth": [30, 195, 254, 292, 516, 638, 986], "updat": [30, 254, 734], "extra": [30, 35, 48, 101, 104, 105, 106, 110, 113, 114, 116, 146, 158, 254, 670, 734, 743, 845, 1049], "storag": [30, 101, 104, 106, 110, 113, 114, 116, 254], "backend": [30, 103, 104, 113, 254], "cloud": [30, 104, 113, 117, 254], "configur": [30, 104, 113, 254], "authent": [30, 104, 113, 254], "see": [30, 31, 38, 103, 104, 105, 113, 119, 120, 124, 126, 138, 172, 186, 254, 298, 299, 300, 368, 396, 437, 502, 509, 515, 516, 524, 587, 588, 614, 638, 737, 774, 775, 776, 880, 972, 979, 985, 986, 994, 1049, 1057], "here": [30, 31, 90, 92, 93, 94, 96, 103, 104, 108, 109, 113, 122, 124, 126, 254, 518, 734, 988], "gc": [30, 104, 113, 254], "azur": [30, 104, 113, 254], "keyword": [30, 55, 104, 110, 113, 138, 186, 195, 200, 231, 234, 254, 466, 618, 621, 638, 688, 695, 712, 716, 734, 1049], "argument": [30, 35, 101, 104, 110, 113, 138, 140, 145, 157, 158, 159, 177, 185, 186, 187, 200, 201, 207, 209, 218, 224, 227, 231, 234, 254, 345, 352, 363, 383, 464, 466, 482, 483, 484, 485, 486, 488, 489, 490, 505, 521, 527, 533, 563, 565, 570, 571, 572, 575, 576, 577, 578, 584, 587, 592, 605, 609, 615, 618, 621, 622, 626, 638, 658, 662, 669, 670, 671, 688, 695, 696, 701, 708, 712, 716, 734, 743, 825, 832, 860, 991, 997, 1003, 1031, 1049], "while": [30, 102, 104, 105, 113, 124, 126, 170, 179, 222, 254, 684, 734], "lake": [30, 104, 113, 254, 649], "instanti": [30, 31, 200, 231, 254, 695, 712, 734], "basic": [30, 31, 254, 1057], "filesystem": [30, 104, 113, 254], "table_path": [30, 104, 113, 254], "doe": [30, 67, 74, 84, 90, 92, 93, 94, 96, 97, 101, 102, 104, 105, 108, 109, 112, 113, 117, 119, 120, 146, 171, 172, 195, 196, 197, 223, 231, 254, 292, 355, 429, 439, 557, 587, 593, 602, 638, 663, 675, 680, 707, 712, 734, 743, 835, 845, 853, 919, 967, 1039, 1049], "match": [30, 31, 38, 74, 84, 90, 92, 93, 94, 96, 108, 109, 119, 120, 148, 173, 195, 254, 445, 487, 509, 510, 513, 515, 516, 517, 518, 524, 525, 532, 534, 535, 536, 576, 638, 665, 676, 734, 737, 869, 876, 952, 979, 980, 983, 985, 986, 987, 988, 994, 995, 1002, 1004, 1005, 1006, 1049], "version": [30, 72, 104, 113, 118, 254, 292, 337, 338, 534, 536, 569, 587, 614, 615, 626, 638, 743, 817, 818, 1004, 1006, 1049], "old": [30, 191, 254, 692, 734], "existing_table_path": [30, 254], "store": [30, 101, 110, 146, 170, 196, 254, 294, 743, 768, 845, 1049], "bucket": [30, 104, 113, 254, 345, 352, 825, 832, 856, 1049], "prefix": [30, 130, 254, 263, 290, 438, 532, 542, 546, 638, 737, 764, 1002, 1012], "aws_region": [30, 113, 254], "the_aws_region": [30, 254], "aws_access_key_id": [30, 104, 113, 254], "the_aws_access_key_id": [30, 104, 113, 254], "aws_secret_access_kei": [30, 104, 113, 254], "the_aws_secret_access_kei": [30, 104, 113, 254], "workbook": [31, 254], "worksheet": [31, 254], "posit": [31, 140, 145, 157, 185, 200, 201, 207, 224, 231, 234, 254, 360, 361, 362, 363, 464, 470, 505, 523, 563, 565, 570, 571, 572, 575, 576, 577, 578, 584, 592, 605, 609, 618, 621, 622, 638, 658, 662, 669, 695, 696, 701, 708, 712, 716, 734, 840, 841, 842, 936, 993, 1049], "tupl": [31, 103, 133, 170, 195, 196, 197, 202, 233, 254, 477, 638, 689, 699, 734, 737, 942, 1049], "a1": [31, 68, 70, 254], "table_styl": [31, 254], "column_format": [31, 254], "dtype_format": [31, 254], "oneormoredatatyp": [31, 122, 254, 876, 1049], "conditional_format": [31, 254], "conditionalformatdict": [31, 254], "column_tot": [31, 254], "columntotalsdefinit": [31, 254], "column_width": [31, 254], "row_tot": [31, 254], "rowtotalsdefinit": [31, 254], "row_height": [31, 254], "sparklin": [31, 254], "sequenc": [31, 59, 67, 73, 90, 92, 93, 94, 96, 101, 102, 108, 109, 112, 122, 123, 124, 134, 139, 145, 146, 172, 173, 179, 183, 186, 187, 197, 207, 215, 221, 223, 224, 225, 226, 227, 254, 387, 429, 437, 466, 505, 544, 567, 572, 582, 583, 594, 596, 604, 614, 619, 638, 652, 662, 675, 676, 688, 701, 706, 707, 708, 709, 734, 743, 786, 788, 845, 912, 961, 1015, 1049], "formula": [31, 254, 357, 638, 838, 1049], "autofilt": [31, 254], "autofit": [31, 254], "hidden_column": [31, 254], "hide_gridlin": [31, 254], "sheet_zoom": [31, 254], "freeze_pan": [31, 254], "excel": [31, 105, 254, 649], "open": [31, 101, 102, 105, 106, 110, 114, 116, 254], "xlsxwriter": [31, 118, 254], "ha": [31, 67, 112, 132, 158, 159, 227, 254, 268, 291, 309, 448, 482, 483, 484, 485, 486, 488, 489, 490, 554, 567, 569, 638, 670, 671, 718, 734, 765, 773, 784, 786, 853, 866, 1033, 1049], "close": [31, 158, 159, 254, 383, 434, 482, 483, 484, 485, 486, 488, 489, 490, 502, 587, 588, 626, 627, 638, 670, 671, 734, 860, 972, 1049], "xlsx": [31, 105, 254], "work": [31, 39, 102, 105, 192, 254, 268, 284, 297, 298, 299, 300, 363, 372, 410, 431, 464, 480, 522, 556, 638, 759, 771, 774, 775, 776, 851, 893, 914, 992, 1034, 1049], "directori": [31, 110, 254], "sheet1": [31, 254], "valid": [31, 38, 52, 106, 110, 126, 130, 144, 172, 254, 309, 509, 510, 515, 516, 518, 524, 525, 587, 588, 638, 675, 734, 737, 784, 839, 853, 979, 980, 985, 986, 988, 994, 995, 1049], "notat": [31, 254], "integ": [31, 43, 44, 45, 46, 61, 62, 63, 64, 122, 124, 125, 127, 158, 159, 254, 265, 297, 346, 372, 373, 463, 470, 475, 482, 483, 484, 485, 486, 487, 488, 489, 490, 523, 562, 569, 596, 600, 601, 615, 638, 670, 671, 734, 737, 771, 826, 851, 869, 936, 940, 952, 961, 993, 1049, 1056, 1057], "medium": [31, 254], "kei": [31, 67, 72, 74, 158, 170, 172, 173, 180, 185, 187, 191, 194, 196, 197, 254, 621, 670, 675, 676, 685, 692, 693, 734], "follow": [31, 72, 101, 102, 104, 112, 113, 133, 158, 159, 173, 186, 227, 254, 268, 341, 345, 352, 466, 473, 482, 483, 484, 485, 486, 487, 488, 489, 490, 544, 555, 567, 587, 629, 631, 632, 634, 638, 639, 640, 644, 645, 646, 670, 671, 676, 688, 734, 821, 825, 832, 938, 960, 961, 1041, 1043, 1045, 1049, 1050, 1053, 1054, 1055, 1057], "first_column": [31, 254], "last_column": [31, 254], "banded_column": [31, 254], "banded_row": [31, 254], "sheet": [31, 105, 254], "chart": [31, 254, 689, 734], "subsequ": [31, 57, 190, 218, 254, 429, 661, 734], "colnam": [31, 112, 124, 143, 254, 660, 734], "given": [31, 52, 53, 67, 90, 92, 93, 94, 96, 101, 102, 108, 109, 112, 121, 122, 124, 125, 126, 127, 133, 134, 144, 145, 147, 158, 159, 169, 185, 186, 195, 197, 203, 204, 207, 221, 226, 254, 268, 310, 316, 319, 348, 350, 351, 357, 383, 406, 423, 429, 432, 464, 466, 470, 473, 476, 477, 481, 482, 483, 484, 485, 486, 487, 488, 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734], "basi": [31, 124, 254], "param": [31, 90, 92, 93, 94, 96, 101, 102, 108, 109, 112, 123, 124, 126, 195, 254, 734], "It": [31, 180, 186, 236, 254, 268, 447, 480, 587, 588, 638, 680, 685, 718, 734, 960, 961, 1049], "also": [31, 57, 93, 112, 122, 123, 124, 125, 126, 130, 143, 157, 158, 159, 180, 183, 196, 200, 207, 231, 254, 305, 308, 344, 383, 473, 482, 483, 484, 485, 486, 488, 489, 490, 505, 527, 533, 582, 583, 587, 594, 596, 614, 629, 637, 638, 643, 669, 670, 671, 685, 695, 701, 712, 713, 734, 737, 824, 860, 938, 1003, 1049], "group": [31, 35, 48, 52, 102, 157, 158, 159, 171, 183, 185, 187, 197, 225, 227, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 254, 262, 268, 365, 371, 410, 464, 470, 473, 480, 504, 505, 509, 515, 516, 524, 549, 567, 638, 669, 670, 671, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 734, 737, 893, 945, 979, 985, 986, 994, 1049], "float_dtyp": [31, 254], "simplifi": [31, 47, 48, 73, 254, 656, 661, 663, 689, 699, 734], "uniform": [31, 254], "condit": [31, 142, 149, 195, 254, 513, 532, 573, 594, 629, 659, 666, 734], "suppli": [31, 90, 92, 93, 94, 96, 108, 109, 195, 254, 466, 638, 734], "typenam": [31, 254], "3_color_scal": [31, 254], "data_bar": [31, 254], "make": [31, 59, 74, 90, 95, 101, 102, 106, 110, 114, 116, 180, 183, 190, 227, 254, 361, 362, 439, 464, 476, 492, 498, 530, 542, 638, 685, 734, 841, 842, 856, 919, 1000, 1012, 1049, 1057], "icon": [31, 254], "multipl": [31, 55, 73, 74, 101, 102, 112, 114, 115, 116, 122, 126, 134, 140, 144, 146, 149, 157, 158, 163, 171, 185, 187, 197, 200, 201, 207, 221, 231, 234, 254, 428, 444, 448, 455, 456, 464, 477, 480, 482, 483, 484, 485, 486, 488, 489, 490, 505, 563, 565, 569, 572, 576, 582, 583, 584, 594, 604, 605, 609, 614, 619, 622, 629, 638, 652, 658, 666, 669, 670, 695, 696, 701, 706, 712, 716, 718, 734, 743, 839, 845, 911, 924, 942, 1049], "singl": [31, 53, 67, 74, 101, 102, 103, 110, 112, 122, 133, 140, 141, 142, 146, 154, 169, 172, 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623, 638, 656, 661, 663, 669, 670, 671, 687, 689, 699, 716, 734, 737, 782, 783, 838, 839, 947, 948, 950, 953, 954, 955, 1049], "must": [31, 91, 92, 104, 113, 139, 145, 158, 159, 173, 180, 195, 254, 310, 429, 437, 470, 482, 483, 484, 485, 486, 488, 489, 490, 638, 662, 670, 671, 676, 680, 685, 734, 785, 786, 936, 1049], "funcnam": [31, 254], "averag": [31, 254, 360, 361, 362, 473, 638, 840, 841, 842, 938, 1049], "count_num": [31, 254], "count": [31, 52, 101, 102, 106, 110, 112, 114, 115, 116, 139, 158, 159, 173, 183, 184, 187, 222, 226, 227, 232, 236, 245, 254, 269, 304, 341, 399, 407, 457, 462, 482, 483, 484, 485, 486, 488, 489, 490, 510, 557, 559, 568, 611, 638, 670, 671, 676, 687, 709, 714, 718, 727, 734, 786, 821, 856, 890, 926, 931, 980, 1035, 1037, 1049], "std_dev": [31, 254], "var": [31, 127, 254, 490, 638, 734, 1049], "pixel": [31, 254], "unit": [31, 38, 40, 124, 126, 144, 254, 317, 318, 325, 350, 355, 435, 448, 534, 536, 558, 587, 588, 596, 638, 689, 734, 737, 793, 794, 801, 830, 835, 839, 918, 1004, 1006, 1036, 1049, 1057], "hand": [31, 101, 102, 112, 254, 409, 415, 430, 892, 898, 913], "side": [31, 158, 159, 254, 383, 409, 415, 430, 482, 483, 484, 485, 486, 488, 489, 490, 493, 587, 588, 626, 627, 638, 670, 671, 734, 860, 892, 898, 913, 958, 1049], "call": [31, 56, 102, 124, 126, 130, 133, 157, 158, 159, 174, 253, 254, 268, 305, 308, 395, 468, 546, 605, 609, 638, 650, 669, 670, 671, 733, 734, 737, 744, 1049], "ad": [31, 93, 132, 158, 222, 231, 254, 267, 366, 582, 583, 638, 670, 712, 734, 846, 1049], "end": [31, 101, 102, 110, 112, 158, 254, 286, 289, 290, 316, 341, 345, 346, 363, 383, 424, 509, 513, 516, 528, 532, 569, 576, 587, 588, 592, 600, 601, 626, 627, 629, 638, 670, 672, 679, 689, 734, 737, 763, 792, 821, 825, 860, 907, 983, 986, 998, 1002, 1049], "wise": [31, 67, 152, 254, 270, 271, 272, 273, 274, 275, 301, 302, 364, 433, 499, 500, 501, 551, 552, 582, 583, 594, 605, 609, 614, 638, 745, 746, 747, 748, 749, 750, 778, 779, 843, 916, 917, 969, 970, 971, 1022, 1023, 1049], "particip": [31, 254], "distinct": [31, 126, 185, 254, 284, 431, 473, 590, 638, 759, 914, 938, 1049, 1057], "referenc": [31, 254, 544], "differ": [31, 101, 117, 119, 146, 158, 159, 170, 196, 197, 214, 222, 254, 312, 322, 341, 342, 344, 353, 359, 408, 439, 458, 459, 461, 492, 498, 534, 557, 587, 593, 596, 602, 638, 661, 670, 671, 734, 737, 743, 744, 787, 798, 821, 822, 824, 833, 845, 891, 928, 929, 959, 1004, 1049], "row_index": [31, 254], "height": [31, 142, 254], "provid": [31, 47, 48, 55, 101, 102, 103, 104, 112, 113, 124, 126, 169, 254, 268, 287, 288, 429, 437, 511, 512, 515, 517, 518, 596, 621, 638, 649, 734, 744, 761, 762, 856, 879, 981, 982, 985, 987, 988, 1049, 1056, 1057], "intersect": [31, 254, 737], "bodi": [31, 254], "start": [31, 100, 101, 102, 103, 106, 110, 112, 114, 115, 116, 128, 157, 158, 174, 206, 227, 232, 254, 286, 289, 290, 322, 325, 326, 328, 329, 334, 336, 342, 343, 345, 346, 350, 352, 353, 354, 356, 363, 383, 424, 482, 483, 485, 488, 489, 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734, 737, 938, 1041, 1043, 1045, 1049, 1050, 1053, 1054, 1055], "insert_befor": [31, 254], "insert_aft": [31, 254], "respect": [31, 254], "direct": [31, 103, 110, 116, 225, 254], "far": [31, 254], "thei": [31, 93, 112, 119, 130, 174, 197, 254, 481, 638, 737, 946, 1049], "strongli": [31, 128, 133, 195, 236, 254, 268, 638, 744, 1049], "advis": [31, 174, 254], "structur": [31, 81, 85, 87, 146, 186, 197, 217, 254, 466, 638, 688, 734, 743, 845, 1049], "wherev": [31, 133, 236, 254, 268, 638, 744, 1049], "possibl": [31, 101, 133, 134, 157, 170, 196, 221, 223, 236, 254, 268, 435, 447, 531, 558, 638, 652, 669, 701, 706, 707, 734, 744, 1001, 1049], "simpl": [31, 126, 183, 254], "colx": [31, 57, 254, 737, 1057], "coli": [31, 254, 737, 1057], "after": [31, 57, 74, 93, 100, 101, 102, 106, 110, 112, 114, 115, 116, 146, 224, 253, 254, 363, 439, 464, 473, 542, 638, 708, 734, 743, 845, 919, 938, 1012, 1049], "befor": [31, 101, 112, 128, 130, 146, 158, 173, 224, 254, 307, 308, 309, 439, 464, 465, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 542, 547, 616, 617, 638, 670, 673, 676, 708, 734, 743, 782, 783, 784, 845, 919, 932, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 1012, 1018, 1049], "most": [31, 54, 90, 101, 102, 103, 112, 254, 448, 455, 465, 531, 559, 638, 924, 932, 1001, 1037, 1049, 1056], "mandatori": [31, 254], "return_dtyp": [31, 133, 254, 268, 437, 439, 567, 604, 638, 744, 919, 1049], "latter": [31, 146, 254, 743, 845, 1049], "appropri": [31, 217, 254, 473, 638, 938, 1049], "pure": [31, 254, 1030, 1049], "actual": [31, 93, 105, 124, 126, 197, 254, 967, 1049], "indic": [31, 100, 101, 102, 106, 110, 112, 121, 122, 126, 158, 159, 173, 197, 201, 215, 227, 254, 279, 341, 345, 352, 385, 388, 389, 391, 392, 393, 428, 443, 446, 482, 483, 484, 485, 486, 488, 489, 490, 493, 499, 549, 572, 573, 638, 670, 671, 676, 696, 734, 737, 821, 825, 832, 864, 868, 870, 871, 872, 873, 911, 958, 969, 1020, 1026, 1049, 1057], "calcul": [31, 67, 158, 208, 228, 254, 312, 360, 361, 362, 396, 408, 409, 435, 487, 502, 507, 558, 560, 567, 579, 616, 617, 620, 628, 638, 670, 702, 710, 734, 787, 840, 841, 842, 880, 891, 892, 952, 972, 976, 1038, 1049], "individu": [31, 48, 124, 159, 217, 254, 268, 516, 638, 671, 734, 772, 986, 1049], "gridlin": [31, 254], "zoom": [31, 254], "level": [31, 35, 48, 112, 114, 115, 116, 124, 133, 152, 183, 254, 369, 638, 672, 679, 734], "freez": [31, 254], "pane": [31, 254], "top": [31, 134, 221, 254, 652, 706, 734], "index": [31, 91, 95, 98, 118, 132, 150, 158, 159, 164, 169, 170, 173, 187, 193, 195, 196, 206, 217, 219, 227, 232, 254, 262, 276, 277, 278, 280, 341, 403, 404, 413, 424, 428, 429, 482, 483, 484, 485, 486, 488, 489, 490, 493, 503, 515, 528, 549, 638, 670, 671, 676, 700, 714, 734, 751, 752, 753, 754, 755, 821, 879, 886, 887, 896, 907, 911, 912, 930, 958, 961, 973, 985, 998, 1020, 1049], "thu": [31, 146, 254, 579, 743, 845, 1049], "altern": [31, 254, 1030, 1049], "a2": [31, 68, 70, 254], "occur": [31, 73, 254, 407, 455, 473, 638, 656, 661, 663, 689, 699, 734, 890, 924, 938, 1049], "equival": [31, 90, 92, 93, 94, 96, 104, 108, 109, 158, 169, 183, 254, 261, 265, 358, 359, 373, 376, 377, 398, 436, 454, 456, 460, 461, 463, 467, 522, 545, 555, 562, 638, 670, 734, 879, 992, 1008, 1010, 1011, 1049], "top_row": [31, 254], "top_col": [31, 254], "base": [31, 36, 142, 149, 158, 159, 254, 316, 324, 357, 360, 361, 362, 432, 433, 470, 523, 638, 659, 666, 670, 671, 734, 737, 792, 800, 838, 840, 841, 842, 856, 915, 916, 936, 993, 1040, 1049, 1057], "scroll": [31, 254], "region": [31, 254], "initit": [31, 254], "5th": [31, 254], "definit": [31, 122, 254, 396, 638, 880, 1049], "take": [31, 124, 130, 152, 158, 180, 186, 187, 211, 217, 254, 341, 505, 550, 587, 588, 591, 593, 602, 638, 670, 685, 705, 734, 821, 1021, 1040, 1049], "care": [31, 254, 268, 494, 638, 962, 1049], "rel": [31, 103, 104, 113, 119, 120, 254, 341, 360, 361, 362, 484, 486, 488, 490, 638, 821, 840, 841, 842, 1049], "readthedoc": [31, 254], "io": [31, 254], 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"com": [31, 103, 254, 360, 361, 362, 515, 516, 638, 840, 841, 842, 985, 986, 1049], "u": [31, 38, 40, 55, 97, 254, 317, 318, 325, 350, 355, 534, 536, 587, 588, 596, 737, 793, 794, 801, 830, 835, 1004, 1006], "offic": [31, 254], "f5ed2452": [31, 254], "2337": [31, 254], "4f71": [31, 254], "bed3": [31, 254], "c8ae6d2b276": [31, 254], "random": [31, 122, 124, 126, 160, 198, 254, 378, 473, 492, 498, 638, 854, 938, 957, 968, 1049], "date": [31, 38, 67, 101, 102, 103, 112, 117, 124, 139, 156, 158, 159, 171, 173, 227, 254, 317, 318, 319, 322, 323, 325, 326, 327, 328, 329, 330, 331, 333, 334, 335, 336, 337, 338, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 406, 482, 483, 484, 485, 486, 488, 489, 490, 534, 535, 553, 587, 588, 596, 603, 625, 638, 670, 671, 676, 734, 737, 792, 793, 794, 795, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 876, 889, 890, 928, 929, 961, 1004, 1005, 1032, 1049], "dtm": [31, 254, 318, 794], "2023": [31, 97, 118, 171, 254, 318, 587, 603, 737, 794], "num": [31, 220, 254, 383, 386, 542, 638, 860, 1049], "500": [31, 170, 226, 254, 663, 709, 734, 809, 811, 819, 826, 947, 948, 950, 1049], "val": [31, 194, 254, 295, 466, 553, 629, 638, 693, 734, 769], "10_000": [31, 254], "20_000": [31, 254], "30_000": [31, 254], "increas": [31, 67, 101, 110, 254, 309, 638, 784, 1049], "b4": [31, 254], "light": [31, 254], "twice": [31, 105, 254], "each": [31, 67, 102, 115, 119, 120, 122, 133, 156, 157, 158, 159, 171, 173, 185, 218, 224, 227, 233, 234, 236, 237, 239, 248, 254, 268, 310, 341, 345, 352, 414, 427, 434, 470, 473, 480, 484, 486, 488, 490, 505, 516, 530, 531, 567, 569, 572, 578, 587, 600, 601, 621, 638, 670, 671, 676, 689, 708, 716, 718, 719, 721, 730, 734, 772, 785, 821, 825, 832, 897, 910, 936, 938, 945, 986, 1000, 1001, 1017, 1049, 1057], "titl": [31, 52, 254], "explicit": [31, 112, 122, 254, 614], "integr": [31, 254, 1057], "multi_fram": [31, 254], "wb": [31, 254], "coordin": [31, 254], "advanc": [31, 254, 429, 912, 1057], "min_color": [31, 254], "76933c": [31, 254], "mid_color": [31, 254], "c4d79b": [31, 254], "max_color": [31, 254], "ebf1d": [31, 254], "data_bar_2010": [31, 254], "bar_color": [31, 254], "9bbb59": [31, 254], "bar_negative_color_sam": [31, 254], "bar_negative_border_color_sam": [31, 254], "000": [31, 254, 1057], "white": [31, 254], "w": [31, 54, 55, 158, 197, 254, 515, 564, 566, 670, 734, 737, 985, 997], "get_worksheet_by_nam": [31, 254], "fmt_titl": [31, 254], "add_format": [31, 254], "font_color": [31, 254], "4f6228": [31, 254], "font_siz": [31, 254], "12": [31, 67, 97, 123, 124, 158, 159, 173, 227, 254, 263, 307, 316, 318, 322, 326, 329, 336, 337, 338, 342, 343, 345, 352, 354, 356, 465, 472, 489, 497, 537, 583, 586, 587, 589, 604, 638, 670, 671, 672, 676, 679, 699, 704, 734, 737, 744, 785, 792, 794, 816, 825, 832, 956, 1007, 1049, 1057], "ital": [31, 254], "bold": [31, 254], "customis": [31, 254], "trend": [31, 254], "win_loss": [31, 254], "subtl": [31, 254], "tone": [31, 254], "hidden": [31, 254], "id": [31, 74, 222, 236, 254, 480, 524, 525, 557, 559, 638, 718, 945, 1035, 1049, 1057], "q1": [31, 254], "55": [31, 69, 254], "20": [31, 124, 146, 163, 164, 180, 186, 188, 192, 193, 254, 276, 277, 278, 312, 345, 352, 378, 382, 466, 482, 483, 485, 596, 603, 626, 638, 685, 688, 734, 737, 787, 832, 1049], "35": [31, 118, 254, 312, 638, 787, 1049], "q2": [31, 254], "30": [31, 146, 158, 163, 186, 192, 193, 213, 231, 254, 276, 277, 278, 312, 318, 323, 329, 337, 343, 344, 345, 352, 356, 378, 497, 587, 603, 626, 638, 670, 688, 712, 734, 737, 785, 787, 794, 799, 817, 824, 825, 832, 1049, 1057], "15": [31, 118, 123, 133, 158, 159, 164, 254, 309, 312, 338, 345, 352, 466, 489, 583, 615, 626, 638, 670, 671, 734, 737, 784, 787, 825, 832, 1049], "60": [31, 146, 254, 346, 347, 489, 534, 638, 822, 826, 827, 1004], "q3": [31, 254], "40": [31, 146, 186, 254, 345, 352, 378, 537, 638, 688, 734, 805, 832, 1007], "80": [31, 254], "q4": [31, 254], "75": [31, 139, 254, 265, 463, 482, 483, 484, 485, 488, 489, 490, 638, 786, 856, 936, 1049, 1057], "account": [31, 97, 103, 254, 341, 360, 361, 362, 638, 821, 840, 841, 842, 1049], "flavour": [31, 254], "integer_dtyp": [31, 200, 254, 695, 734, 737], "0_": [31, 254], "just": [31, 112, 179, 254, 684, 734], "unifi": [31, 254, 737], "multi": [31, 101, 102, 254, 363, 515, 605, 609, 638, 985], "2_color_scal": [31, 254], "95b3d7": [31, 254], "ffffff": [31, 254], "standardis": [31, 254], "z": [31, 54, 74, 97, 122, 124, 144, 166, 168, 172, 179, 196, 197, 254, 261, 263, 265, 295, 378, 405, 438, 463, 468, 476, 516, 534, 536, 546, 564, 566, 585, 606, 610, 615, 623, 638, 675, 684, 700, 734, 737, 769, 848, 986, 1004, 1006, 1049, 1056], "score": [31, 254], "conjunct": [31, 105, 254], "a123": [31, 254], "b345": [31, 254], "c567": [31, 254], "d789": [31, 254], "e101": [31, 254], "45": [31, 159, 254, 318, 345, 352, 489, 510, 516, 570, 571, 603, 626, 638, 671, 734, 737, 794, 825, 832, 980, 986, 1057], "85": [31, 254, 1057], "font": [31, 254], "consola": [31, 254], "standard": [31, 118, 208, 217, 254, 329, 361, 488, 502, 507, 518, 620, 638, 702, 734, 805, 841, 972, 976, 988, 1049, 1057], "stdev": [31, 254], "ipccompress": [32, 254], "arrow": [32, 47, 76, 90, 103, 106, 114, 170, 196, 197, 212, 214, 254, 734, 1025, 1030, 1049], "ipc": [32, 106, 107, 114, 117, 254, 649], "binari": [32, 254, 286, 288, 289, 290, 760, 763, 764], "feather": [32, 106, 114, 254, 649], "lz4": [32, 35, 47, 48, 254, 734], "zstd": [32, 35, 47, 48, 254, 734], "pretti": [33, 254], "row_ori": [33, 254], "iobas": [33, 34, 108, 109, 254, 452, 691, 715, 734], "serial": [33, 34, 254], "represent": [33, 34, 216, 254, 295, 322, 326, 329, 330, 332, 334, 336, 339, 342, 343, 346, 353, 354, 356, 553, 638, 661, 678, 734, 769, 798, 802, 804, 805, 809, 811, 814, 816, 819, 822, 823, 826, 833, 834, 836, 1028, 1032, 1049], "orient": [33, 68, 70, 94, 96, 254, 734], "slower": [33, 94, 96, 133, 157, 185, 227, 236, 254, 268, 567, 638, 669, 718, 734, 744, 1049], "common": [33, 67, 73, 74, 254, 438, 587, 588, 638, 643, 656, 661, 663, 689, 699, 734], "write_ndjson": [33, 254], "newlin": [34, 109, 115, 254], "delimit": [34, 101, 102, 109, 112, 115, 187, 215, 254, 508, 978, 1026, 1049], "parquetcompress": [35, 254], "compression_level": [35, 48, 254, 734], "statist": [35, 48, 101, 102, 110, 116, 139, 254, 361, 362, 396, 482, 483, 484, 485, 486, 487, 488, 489, 490, 502, 638, 734, 786, 841, 842, 880, 952, 972, 1049], "row_group_s": [35, 48, 254, 734], "use_pyarrow": [35, 48, 101, 106, 110, 254, 734, 1029, 1030, 1049], "pyarrow_opt": [35, 104, 110, 113, 254], "parquet": [35, 48, 110, 111, 116, 254, 649, 734], "gzip": [35, 48, 254, 734], "lzo": [35, 48, 254, 734], "brotli": [35, 48, 254, 734], "choos": [35, 47, 48, 187, 254, 734], "good": [35, 47, 48, 170, 254, 734], "perform": [35, 47, 48, 67, 81, 91, 101, 102, 106, 110, 112, 114, 115, 116, 132, 133, 134, 157, 158, 159, 173, 190, 197, 221, 236, 254, 268, 464, 534, 535, 536, 638, 652, 670, 671, 676, 701, 706, 714, 734, 744, 1004, 1005, 1006, 1049], "fast": [35, 47, 48, 125, 127, 254, 366, 494, 638, 734, 846, 962, 1049, 1057], "decompress": [35, 47, 48, 254, 734], "backward": [35, 48, 148, 173, 254, 285, 338, 368, 638, 665, 676, 734, 818, 848, 1049], "guarante": [35, 48, 91, 101, 102, 223, 254, 663, 707, 734], "deal": [35, 48, 170, 254, 344, 352, 473, 534, 638, 734, 824, 832, 938, 1004, 1049], "older": [35, 48, 254, 734], "reader": [35, 48, 99, 101, 102, 106, 110, 254, 650, 734], "higher": [35, 48, 189, 246, 254, 471, 486, 613, 638, 690, 728, 734, 937, 951, 1049], "mean": [35, 48, 101, 102, 106, 110, 112, 139, 148, 157, 158, 159, 173, 187, 227, 234, 254, 341, 345, 352, 365, 368, 482, 483, 484, 485, 486, 488, 489, 490, 502, 515, 569, 574, 587, 638, 665, 669, 670, 671, 676, 680, 716, 734, 786, 821, 825, 832, 844, 848, 853, 948, 972, 985, 1049], "smaller": [35, 48, 144, 254, 663, 734, 839, 1049], "disk": [35, 47, 48, 106, 254, 699, 734], "11": [35, 48, 118, 124, 159, 254, 263, 314, 315, 329, 337, 338, 341, 345, 352, 382, 465, 473, 489, 503, 542, 562, 576, 622, 627, 638, 656, 671, 672, 679, 689, 704, 734, 737, 744, 821, 825, 832, 946, 1049], "22": [35, 48, 123, 254, 322, 342, 345, 352, 354, 355, 482, 483, 485, 488, 489, 490, 534, 576, 638, 734, 737, 825, 832, 835, 1004, 1057], "comput": [35, 48, 73, 74, 78, 144, 157, 173, 218, 223, 234, 246, 254, 260, 270, 271, 272, 273, 274, 275, 281, 282, 283, 296, 301, 302, 304, 305, 306, 307, 308, 313, 357, 364, 396, 409, 415, 419, 420, 421, 430, 432, 433, 434, 455, 464, 465, 469, 470, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 499, 500, 501, 502, 506, 551, 552, 563, 564, 565, 566, 570, 571, 572, 579, 581, 584, 591, 605, 609, 616, 617, 622, 638, 669, 673, 675, 676, 707, 713, 716, 728, 734, 739, 745, 746, 747, 748, 749, 750, 756, 757, 758, 770, 778, 779, 780, 781, 782, 783, 788, 838, 839, 843, 880, 892, 898, 902, 903, 904, 913, 915, 916, 917, 924, 932, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 969, 970, 971, 972, 975, 1022, 1023, 1031, 1049], "512": [35, 254, 467, 638, 932, 1049], "implement": [35, 91, 132, 133, 236, 254, 268, 395, 468, 546, 567, 638, 718, 744, 960, 961, 1049], "v": [35, 54, 55, 144, 254, 493, 638, 785, 958, 1049], "At": [35, 254], "moment": [35, 138, 254, 396, 502, 638, 880, 972, 1049], "pyarrow": [35, 90, 95, 101, 103, 104, 106, 110, 113, 117, 118, 171, 212, 217, 218, 254, 650, 1025, 1029, 1030, 1031, 1049], "write_t": [35, 254], "calendar": [37, 38, 158, 159, 173, 227, 254, 329, 341, 345, 352, 356, 482, 483, 484, 485, 486, 488, 489, 490, 638, 670, 671, 676, 734, 805, 821, 825, 832, 836], "time_unit": [38, 40, 97, 317, 318, 325, 350, 355, 534, 536, 587, 588, 596, 737, 793, 794, 801, 830, 835, 1004, 1006], "time_zon": [38, 97, 319, 344, 352, 536, 587, 588, 737, 792, 795, 800, 824, 832, 1006], "timezon": [38, 737], "m": [38, 40, 55, 172, 254, 316, 317, 318, 324, 325, 348, 350, 351, 355, 515, 534, 535, 536, 539, 587, 588, 596, 675, 734, 737, 792, 793, 794, 800, 801, 828, 830, 831, 835, 985, 1004, 1005, 1006, 1009], "zone": [38, 316, 319, 344, 534, 536, 587, 588, 737, 792, 795, 824, 1004, 1006], "zoneinfo": [38, 737], "run": [38, 47, 48, 73, 125, 127, 133, 157, 174, 187, 223, 236, 254, 268, 309, 410, 479, 480, 618, 638, 656, 661, 663, 669, 680, 684, 689, 699, 707, 734, 737, 744, 784, 893, 944, 945, 1049, 1056, 1057], "available_timezon": [38, 737], "check": [38, 101, 102, 112, 119, 120, 153, 158, 159, 167, 169, 172, 254, 264, 266, 286, 289, 290, 383, 387, 406, 509, 513, 532, 638, 670, 671, 675, 680, 734, 741, 742, 760, 763, 764, 861, 863, 866, 867, 869, 874, 875, 876, 878, 879, 889, 959, 979, 983, 1002, 1049], "128": [39, 69, 932, 1049], "bit": [39, 41, 42, 43, 44, 45, 46, 61, 62, 63, 64, 475, 509, 638, 940, 979, 1049], "neg": [39, 158, 159, 161, 175, 203, 204, 206, 210, 254, 423, 424, 466, 495, 496, 503, 528, 638, 670, 671, 697, 698, 700, 714, 734, 855, 882, 906, 907, 964, 965, 973, 998, 1019, 1049], "scale": [39, 144, 254, 466, 537, 638, 839, 1007, 1049], "experiment": [39, 117, 200, 225, 226, 231, 254, 309, 345, 482, 483, 484, 485, 486, 488, 489, 490, 638, 695, 709, 712, 734, 784, 825, 856, 936, 1049], "progress": 39, "expect": [39, 82, 84, 89, 268, 567, 603, 638, 678, 680, 734], "32": [41, 44, 62, 69, 159, 169, 254, 456, 497, 638, 671, 734, 788, 822, 932, 951, 1049], "sign": [43, 44, 45, 46, 341, 475, 542, 638, 821, 869, 940, 1012, 1049], "maintain_ord": [47, 48, 134, 157, 185, 187, 221, 223, 227, 235, 237, 238, 240, 241, 242, 243, 244, 245, 246, 247, 254, 262, 268, 284, 431, 549, 556, 580, 638, 652, 656, 661, 663, 669, 689, 699, 701, 706, 707, 717, 719, 720, 722, 723, 724, 725, 726, 727, 728, 729, 734, 759, 914, 1034, 1049], "type_coercion": [47, 48, 73, 656, 661, 663, 689, 699, 734], "predicate_pushdown": [47, 48, 73, 656, 661, 663, 680, 689, 699, 734], "projection_pushdown": [47, 48, 73, 656, 661, 663, 680, 689, 699, 734], "simplify_express": [47, 48, 73, 656, 661, 663, 689, 699, 734], "no_optim": [47, 48, 73, 656, 663, 680, 689, 734], "slice_pushdown": [47, 48, 73, 656, 661, 663, 680, 689, 699, 734], "persist": [47, 48, 57, 734], "larger": [47, 48, 579, 734], "ram": [47, 48, 734], "maintain": [47, 48, 134, 221, 254, 284, 431, 493, 556, 638, 652, 701, 706, 734, 759, 914, 958, 1034, 1049], "slightli": [47, 48, 734], "faster": [47, 48, 146, 217, 225, 254, 268, 481, 522, 557, 638, 734, 743, 744, 845, 946, 992, 1049], "coercion": [47, 48, 73, 476, 638, 656, 661, 663, 689, 699, 734], "optim": [47, 48, 73, 110, 112, 114, 115, 116, 170, 174, 186, 190, 196, 223, 254, 656, 661, 663, 680, 689, 699, 707, 714, 718, 734, 770, 1049], "predic": [47, 48, 73, 112, 114, 115, 116, 117, 149, 169, 195, 254, 369, 561, 594, 638, 656, 661, 663, 666, 680, 689, 692, 699, 714, 734, 849, 960, 961, 1049], "pushdown": [47, 48, 73, 656, 661, 663, 680, 689, 692, 699, 714, 734, 960, 961, 1049], "project": [47, 48, 73, 112, 114, 115, 116, 268, 504, 505, 638, 656, 661, 663, 680, 689, 692, 699, 715, 734], "turn": [47, 48, 73, 101, 102, 112, 540, 559, 638, 656, 661, 663, 680, 689, 734, 1010], "off": [47, 48, 73, 101, 102, 112, 559, 638, 656, 661, 663, 680, 689, 734], "certain": [47, 48, 80, 104, 113, 164, 227, 254, 576, 656, 689, 734, 1049], "slice": [47, 48, 68, 73, 144, 161, 171, 210, 254, 414, 427, 481, 482, 483, 484, 485, 486, 488, 489, 490, 638, 656, 661, 663, 680, 689, 699, 734, 839, 855, 897, 910, 946, 947, 948, 949, 950, 951, 953, 954, 955, 1019, 1049], "lf": [47, 48, 652, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 669, 670, 672, 673, 674, 675, 677, 678, 679, 680, 681, 682, 683, 684, 686, 687, 688, 689, 690, 692, 693, 694, 695, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 710, 711, 712, 713, 714, 715, 734, 1056, 1057], "scan_csv": [47, 48, 101, 102, 734], "my_larger_than_ram_fil": [47, 48, 734], "data_pagesize_limit": [48, 734], 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476, 480, 499, 502, 530, 545, 546, 553, 555, 562, 564, 566, 567, 570, 571, 582, 583, 585, 594, 603, 604, 606, 610, 614, 623, 638, 675, 680, 684, 700, 734, 737, 744, 848, 878, 969, 972, 1000, 1032, 1049, 1056], "df2": [54, 56, 57, 58, 67, 74, 75, 119, 146, 153, 218, 229, 254], "t": [54, 55, 74, 105, 112, 133, 158, 186, 223, 225, 254, 268, 292, 309, 316, 324, 344, 357, 360, 361, 362, 410, 464, 466, 470, 515, 521, 534, 536, 567, 629, 638, 670, 688, 707, 734, 737, 744, 784, 824, 838, 840, 841, 842, 893, 936, 959, 985, 991, 997, 1004, 1006, 1030, 1039, 1049], "join": [54, 58, 67, 73, 74, 75, 173, 226, 254, 382, 464, 638, 656, 661, 663, 676, 689, 699, 709, 713, 734], "named_fram": [55, 1056], "lf1": [55, 57], "o": [55, 106, 114, 291, 309, 514, 554, 638, 765, 784, 984, 1003, 1033, 1049], "lf2": [55, 57, 734], "p": [55, 69, 186, 254, 466, 621, 638, 688, 734], "q": [55, 197, 254, 310, 470, 621, 638, 936, 1049], "r": [55, 466, 510, 514, 515, 516, 524, 638, 737, 980, 984, 985, 986, 994], "lf3": [55, 734], "lf4": [55, 734], "either": [55, 124, 159, 169, 174, 177, 185, 195, 209, 217, 254, 470, 534, 563, 572, 621, 638, 671, 678, 734, 737, 936, 1004, 1049], "tbl1": [55, 57], "tbl2": [55, 57], "tbl3": 55, "tbl4": 55, "statement": [56, 629], "hello_world": 56, "baz": [56, 164, 165, 187, 224, 254, 529, 531, 674, 708, 734, 737, 1001], "hello_data": 56, "foo_bar": [56, 603], "registr": [57, 649], "lifetim": [57, 130, 648], "context": [57, 58, 128, 183, 237, 254, 262, 268, 303, 369, 410, 447, 504, 505, 559, 567, 580, 593, 596, 602, 615, 618, 637, 638, 648, 649, 713, 719, 734, 893, 1056], "manag": [57, 58, 648, 649, 1056], "often": [57, 130, 158, 159, 254, 407, 476, 638, 670, 671, 734, 890], "want": [57, 93, 133, 146, 183, 254, 268, 298, 299, 300, 352, 369, 437, 439, 480, 482, 483, 484, 485, 486, 488, 489, 490, 582, 594, 612, 615, 630, 638, 656, 672, 679, 734, 737, 743, 744, 774, 775, 776, 832, 845, 945, 1030, 1049], "df0": [57, 180, 254, 685, 734], "exit": [57, 58, 130, 1056], "construct": [57, 90, 92, 93, 94, 95, 96, 254, 375, 439, 612, 615, 630, 638, 668, 691, 734, 1049], "through": [57, 737, 1049], "tbl0": 57, "remain": [57, 101, 102, 112, 144, 254, 530, 531, 569, 680, 734, 839, 1000, 1001, 1049], "text": [57, 522, 524, 525, 619, 992, 1057], "misc": 57, "testing1234": 57, "test1": 57, "test2": 57, "test3": 57, "temporarili": [58, 128, 130, 158, 159, 254, 670, 671, 734], "cach": [58, 73, 75, 106, 112, 114, 116, 129, 439, 482, 483, 484, 485, 486, 488, 489, 490, 534, 535, 536, 539, 638, 648, 656, 661, 663, 689, 699, 734, 1004, 1005, 1006, 1009], "categori": [58, 75, 215, 254, 294, 295, 310, 470, 638, 768, 769, 785, 856, 936, 1049], "until": [58, 174, 254, 587], "finish": [58, 78, 146, 254, 743, 845, 1049], "invalid": [58, 101, 102, 112, 517, 518, 523, 555, 587, 588, 638, 987, 988, 993], "outermost": 58, "color": [58, 75, 236, 286, 288, 289, 290, 718], "red": [58, 75, 236, 718], "green": [58, 75, 236, 718], "blue": [58, 75, 286, 288, 289, 290], "orang": [58, 75, 137, 237, 238, 240, 241, 242, 244, 246, 247, 254, 719, 720, 722, 723, 724, 726, 728, 729], "uint8": [58, 75, 121, 123, 216, 217, 254, 307, 308, 439, 547, 562, 638, 737, 782, 783, 1018, 1049, 1057], "yellow": [58, 75, 286, 288, 289, 290], "black": [58, 75, 133, 254, 286, 288, 289, 290], "succe": [58, 101, 102, 112], "df_join": [58, 75], "cat": [58, 75, 216, 254, 310, 470, 509, 538, 541, 553, 578, 634, 638, 737, 785, 856, 936, 979, 1008, 1011, 1045, 1049], "u8": [58, 75, 215, 216, 254, 439, 562, 638, 737, 1026, 1049, 1057], "composit": [59, 123, 1057], "schemadict": [59, 90, 92, 93, 94, 95, 96, 112, 199, 254, 621, 680, 694, 718, 734], "struct_seri": [59, 718], "dai": [60, 158, 159, 171, 173, 227, 254, 325, 329, 336, 337, 338, 341, 342, 343, 345, 350, 352, 353, 354, 356, 482, 483, 484, 485, 486, 488, 489, 490, 586, 587, 589, 590, 638, 670, 671, 676, 734, 737, 817, 818, 821, 822, 825, 832, 834], "unsign": [61, 62, 63, 64, 475, 638, 869, 940, 1049], "could": [65, 78, 142, 158, 254, 293, 582, 594, 638, 659, 670, 734, 766, 1049], "static": [65, 718], "utf": 66, "frametyp": [67, 1056], "joinstrategi": [67, 172, 254, 675, 734], "outer": [67, 74, 172, 254, 675, 734], "descend": [67, 134, 201, 207, 221, 254, 278, 425, 473, 494, 504, 505, 572, 638, 652, 696, 701, 706, 734, 753, 875, 908, 938, 962, 974, 1049], "fill": [67, 74, 135, 147, 148, 204, 225, 254, 285, 305, 308, 367, 368, 374, 382, 482, 483, 485, 489, 496, 520, 526, 542, 595, 612, 615, 630, 638, 664, 665, 698, 713, 734, 847, 848, 859, 930, 947, 948, 950, 953, 954, 955, 965, 990, 996, 1012, 1049], "sort": [67, 68, 119, 123, 134, 158, 159, 173, 180, 186, 187, 201, 221, 227, 239, 248, 254, 278, 295, 369, 464, 494, 505, 559, 561, 572, 638, 652, 661, 670, 671, 676, 685, 688, 689, 696, 699, 706, 721, 730, 734, 737, 753, 769, 875, 962, 1034, 1037, 1049, 1057], "origin": [67, 101, 102, 223, 254, 344, 395, 439, 464, 475, 476, 477, 510, 515, 516, 518, 520, 526, 542, 570, 571, 638, 707, 734, 785, 824, 919, 936, 942, 980, 985, 986, 988, 990, 996, 1012, 1049], "In": [67, 104, 113, 116, 124, 126, 130, 133, 144, 146, 158, 159, 183, 217, 254, 268, 587, 638, 670, 671, 734, 743, 839, 845, 939, 1049], "duplic": [67, 79, 166, 172, 173, 223, 254, 263, 384, 395, 470, 638, 675, 676, 707, 734, 862, 936, 1049], "behaviour": [67, 74, 509, 515, 516, 524, 555, 638, 979, 985, 986, 994], "strategi": [67, 74, 101, 121, 122, 123, 124, 126, 148, 158, 172, 173, 182, 254, 268, 368, 429, 638, 665, 670, 675, 676, 734, 848, 912, 1049], "suitabl": [67, 74, 122, 133, 254, 268, 493, 638, 744, 958, 1049, 1057], "get": [67, 98, 107, 111, 128, 134, 137, 143, 151, 154, 155, 158, 159, 161, 162, 166, 168, 169, 175, 182, 195, 199, 202, 206, 210, 221, 230, 239, 248, 254, 262, 276, 277, 278, 280, 284, 294, 304, 305, 306, 307, 308, 325, 341, 370, 379, 384, 386, 394, 397, 400, 412, 417, 418, 431, 440, 441, 442, 447, 449, 453, 458, 459, 471, 479, 503, 507, 519, 522, 547, 548, 556, 560, 587, 593, 598, 602, 605, 606, 607, 608, 609, 610, 620, 624, 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734, 1049], "product": [67, 138, 254, 307, 313, 567, 638, 782, 788, 1049], "fill_nul": [67, 147, 254, 638, 664, 713, 734, 1049], "sum_horizont": [67, 622], "167": 67, "47": 67, "callabl": [68, 69, 70, 71, 112, 133, 152, 186, 236, 254, 268, 429, 437, 438, 466, 481, 567, 582, 583, 594, 604, 614, 638, 680, 688, 718, 734, 744, 912, 946, 1049], "decor": [68, 69, 70, 71, 124, 126, 133, 254, 268, 638, 648, 649, 744, 1049], "under": [68, 69, 70, 71, 631, 632, 634, 639, 640, 644, 645, 646, 1041, 1043, 1045, 1050, 1053, 1054, 1055], "access": [68, 69, 70, 71, 170, 195, 196, 254, 439, 638, 713, 734, 1057], "by_first_letter_of_column_nam": 68, "f": [68, 102, 139, 156, 171, 212, 222, 225, 254, 261, 268, 429, 497, 514, 534, 536, 567, 577, 604, 638, 912, 984, 1004, 1006], "fromkei": [68, 70], "by_first_letter_of_column_valu": 68, "starts_with": [68, 286, 289, 509, 513, 737, 983], "to_seri": [68, 154, 254, 534, 573, 615, 1004], "xx": [68, 70, 123, 126, 737], "xy": [68, 70], "yy": [68, 70, 123, 126, 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671, 685, 734, 854, 1049], "961": 71, "1764": 71, "4160": 71, "build": [72, 91, 737, 1057], "wa": 72, "compil": [72, 403, 404, 886, 887], "gate": 72, "info": [72, 104, 113, 118], "otherwis": [72, 123, 128, 133, 180, 197, 200, 236, 254, 268, 287, 298, 299, 300, 344, 352, 360, 361, 362, 429, 466, 475, 509, 511, 563, 565, 567, 584, 605, 609, 622, 629, 638, 685, 695, 718, 734, 744, 761, 774, 775, 776, 824, 832, 840, 841, 842, 912, 940, 960, 961, 979, 981, 1049], "depend": [72, 118, 268, 403, 404, 447, 470, 473, 567, 593, 596, 602, 638, 886, 887, 936, 938, 1049, 1057], "host": [72, 101, 106, 110, 114, 116], "git": 72, "lazy_fram": 73, "comm_subplan_elim": [73, 656, 661, 663, 689, 699, 734], "comm_subexpr_elim": [73, 292, 638, 656, 661, 663, 689, 699, 734], "graph": [73, 174, 254, 673, 713, 734], "parallel": [73, 74, 99, 103, 110, 116, 158, 173, 174, 186, 254, 309, 410, 638, 649, 670, 675, 676, 718, 734, 784, 893, 1049], "threadpool": [73, 128], "Will": [73, 656, 661, 663, 689, 699, 734, 1049], "try": [73, 85, 87, 101, 102, 105, 106, 110, 112, 114, 116, 656, 661, 663, 689, 699, 734], "branch": [73, 656, 661, 663, 689, 699, 734], "subplan": [73, 656, 661, 663, 689, 699, 734], "union": [73, 74, 656, 661, 663, 689, 699, 734, 737], "subexpress": [73, 656, 661, 663, 689, 699, 734], "reus": [73, 656, 661, 663, 689, 699, 734], "part": [73, 90, 124, 516, 530, 531, 656, 661, 663, 689, 699, 713, 734, 986, 1000, 1001], "fashion": [73, 172, 254, 656, 661, 663, 689, 699, 734], "item": [74, 102, 195, 198, 254, 365, 406, 413, 416, 492, 531, 638, 844, 889, 896, 899, 957, 1001, 1049], "iter": [74, 125, 127, 134, 157, 158, 159, 170, 171, 185, 195, 196, 197, 200, 201, 207, 221, 222, 231, 233, 234, 254, 309, 363, 464, 505, 563, 564, 565, 566, 572, 575, 576, 577, 578, 584, 585, 592, 605, 606, 609, 610, 618, 621, 622, 623, 638, 652, 669, 670, 671, 695, 696, 701, 706, 712, 716, 734, 784, 1049, 1057], "polarstyp": 74, "concatmethod": 74, "vertic": [74, 146, 225, 229, 254, 508, 978], 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254], "don": [74, 133, 223, 225, 254, 268, 292, 309, 410, 464, 470, 567, 638, 707, 734, 737, 744, 784, 893, 936, 959, 1039, 1049], "auto": [74, 90, 92, 93, 94, 96, 108, 109, 110, 116, 222, 254, 734, 1057], "logic": [74, 133, 236, 254, 268, 553, 567, 638, 668, 675, 691, 715, 718, 734, 744, 1032, 1049], "align_fram": 74, "pattern": [74, 101, 102, 112, 114, 115, 116, 170, 254, 445, 509, 510, 515, 516, 524, 525, 718, 737, 960, 961, 979, 980, 985, 986, 994, 995, 1049], "collis": 74, "need": [74, 97, 101, 102, 103, 105, 119, 120, 158, 159, 197, 205, 217, 254, 429, 439, 497, 519, 537, 612, 615, 630, 638, 670, 671, 734, 966, 989, 1007, 1049], "sure": [74, 90, 95, 101, 102, 106, 110, 158, 159, 190, 254, 670, 671, 734], "contigu": [74, 90, 95, 101, 102, 106, 110, 112, 114, 115, 116, 190, 254], "relev": 74, "df_h1": 74, "l1": 74, "l2": 74, "df_h2": 74, "r1": 74, "r2": 74, "r3": 74, "df_d1": 74, "df_d2": 74, "df_a1": 74, "df_a2": 74, "df_a3": 74, "disabl": [75, 129, 170, 254], "encount": [76, 158, 254, 458, 459, 517, 518, 579, 582, 594, 638, 670, 734, 928, 929, 987, 988, 1049], "least": [82, 124, 465, 559, 638, 932, 1037, 1049], "unexpect": [83, 254, 268, 437, 638, 744, 1049], "caus": [83, 91, 101, 102, 112, 132, 146, 254, 743, 845, 1049], "panic": 83, "mismatch": [85, 109], "incompat": 87, "pa": [90, 117], "chunkedarrai": [90, 182, 254, 788, 1049], "recordbatch": [90, 171, 254], "schemadefinit": [90, 92, 93, 94, 96, 108, 109, 254, 734], "schema_overrid": [90, 92, 93, 94, 95, 96, 108, 109, 171, 217, 254, 284, 734, 737, 759], "copi": [90, 91, 132, 135, 136, 171, 212, 217, 218, 231, 254, 366, 542, 638, 654, 655, 712, 734, 773, 777, 790, 846, 1012, 1025, 1030, 1031, 1049], "closest": 90, "pair": [90, 92, 93, 94, 96, 108, 109, 123, 191, 254, 692, 734, 1057], "sever": [90, 92, 93, 94, 96, 108, 109, 254, 734, 1057], "wai": [90, 92, 93, 94, 96, 108, 109, 140, 157, 171, 186, 207, 234, 254, 464, 466, 505, 515, 576, 638, 658, 669, 688, 701, 716, 718, 734, 985], "form": [90, 92, 93, 94, 96, 108, 109, 170, 196, 225, 254, 465, 638, 734, 932, 1049], "them": [90, 92, 93, 94, 96, 108, 109, 112, 146, 158, 159, 173, 180, 227, 254, 383, 416, 458, 459, 464, 577, 638, 670, 671, 676, 685, 734, 737, 743, 845, 899, 928, 929, 1049], "dimens": [90, 92, 94, 96, 108, 109, 254, 477, 638, 734, 942, 1049], "allow_copi": [91, 132], "interchang": [91, 132], "__dataframe__": 91, "convers": [91, 132, 170, 171, 196, 197, 214, 218, 254, 534, 535, 536, 539, 587, 649, 1004, 1005, 1006, 1009, 1029, 1030, 1031, 1049], "detail": [91, 103, 119, 120, 132, 254, 734, 1057], "latest": [91, 104, 113, 132, 344, 352, 374, 448, 638, 824, 832], "runtimeerror": 91, "from_panda": [91, 105], "from_arrow": 91, "effici": [91, 171, 254], "clone": [92, 93, 94, 95, 96, 135, 217, 218, 254, 654, 734, 773, 1029, 1030, 1031, 1039, 1049], "dimension": [92, 94, 96, 217, 254, 734, 1049], "infer_schema_length": [93, 96, 101, 102, 105, 112, 115, 254, 517, 734, 987], "NOT": [93, 119, 120, 446, 1056], "typic": [93, 133, 254, 324, 737, 744, 800, 1049], "clearer": 93, "load": [93, 95, 104, 113, 125, 127, 254, 649, 672, 679, 734, 1057], "_partial_": [93, 254, 734], "omit": [93, 97, 122, 124, 126, 130, 183, 197, 254, 626, 627, 737], "mani": [93, 96, 103, 146, 254, 517, 743, 845, 987, 1049], "scan": [93, 96, 101, 102, 110, 112, 113, 114, 115, 116, 117, 158, 159, 254, 663, 670, 671, 672, 679, 734], "slow": [93, 96, 101, 102, 112, 268, 309, 638, 718, 784, 1049], "partial": 93, "present": [93, 119, 124, 387, 638, 1039, 1049], "np": [94, 149, 217, 254, 549, 638, 734, 864, 868, 870, 871, 946, 1020, 1049], "ndarrai": [94, 149, 217, 254, 549, 638, 734, 788, 958, 961, 1020, 1030, 1049], "numpi": [94, 118, 138, 170, 196, 197, 214, 217, 218, 254, 458, 459, 638, 734, 864, 868, 870, 871, 928, 929, 946, 1030, 1031, 1039, 1049], "columnar": [94, 96, 170, 196, 254], "interpret": [94, 96, 101, 102, 112, 254, 734], "yield": [94, 96, 101, 102, 112, 144, 146, 222, 254, 464, 638, 734, 743, 839, 845, 1049], "conclus": [94, 96, 254, 734], "nan_to_nul": [95, 254, 734, 1049], "include_index": 95, "pd": [95, 105, 553, 638, 1031, 1032, 1049], "panda": [95, 105, 118, 158, 218, 254, 337, 338, 553, 638, 670, 734, 817, 818, 1031, 1032, 1049], "instal": [95, 101, 102, 103, 106, 110, 118, 138, 217, 218, 254, 699, 734, 1031, 1049], "nan": [95, 119, 120, 124, 132, 147, 218, 254, 314, 315, 358, 359, 367, 376, 377, 382, 389, 391, 392, 393, 398, 436, 440, 453, 458, 459, 460, 461, 555, 579, 638, 664, 734, 746, 750, 789, 847, 870, 871, 928, 929, 946, 1030, 1031, 1049, 1057], "convert": [95, 104, 105, 113, 132, 213, 214, 215, 216, 217, 220, 254, 311, 319, 348, 351, 429, 438, 472, 523, 534, 535, 536, 537, 539, 638, 734, 795, 828, 831, 912, 993, 1004, 1005, 1006, 1007, 1009, 1017, 1028, 1029, 1030, 1031, 1039, 1049], "pd_df": 95, "pd_seri": 95, "tbl": [97, 99, 102], "reconstruct": 97, "repr": [97, 124, 126], "trim": 97, "whitespac": [97, 521, 527, 533, 991, 997, 1003], "prompt": 97, "extract": [97, 320, 322, 323, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 339, 340, 342, 343, 346, 347, 349, 353, 354, 356, 466, 516, 517, 518, 638, 796, 797, 798, 799, 802, 803, 805, 809, 810, 811, 812, 814, 815, 816, 819, 820, 822, 823, 826, 827, 829, 833, 834, 836, 986, 987, 988], "to_init_repr": [97, 254, 1049], "truncat": [97, 158, 170, 196, 197, 214, 254, 341, 670, 689, 734, 821], "identifi": [97, 179, 185, 223, 254, 684, 707, 734], "compound": [97, 197, 254, 737], "struct": [97, 183, 200, 220, 224, 231, 254, 310, 429, 439, 470, 479, 480, 517, 530, 531, 559, 582, 583, 585, 604, 638, 695, 708, 712, 718, 734, 785, 912, 936, 944, 987, 998, 1000, 1001, 1049], "neither": [97, 105, 198, 254, 429, 912], "source_ac": 97, "source_cha": 97, "ident": [97, 135, 136, 254, 348, 479, 480, 638, 654, 655, 734, 773, 777, 828, 944, 945, 1049], "timestamp": [97, 344, 596, 824], "tor_id": 97, "nnel_id": 97, "\u03bc": [97, 124, 158, 159, 170, 173, 196, 197, 214, 227, 254, 316, 317, 318, 319, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 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"column_x": [101, 102, 112], "enumer": [101, 102, 112, 171, 254], "shorter": [101, 102], "comment": [101, 102, 112], "instanc": [101, 102, 112, 124, 126, 130, 146, 152, 254, 293, 448, 482, 483, 484, 485, 486, 488, 489, 490, 582, 594, 638, 680, 714, 734, 743, 766, 845, 1049], "escap": [101, 102, 112], "dure": [101, 102, 112, 130, 146, 254, 743, 845, 1049], "would": [101, 102, 112, 278, 413, 447, 473, 572, 587, 638, 737, 753, 896, 938, 1030, 1049], "prefer": [101, 102, 104, 112, 127, 133, 146, 170, 195, 196, 236, 254, 268, 481, 638, 734, 743, 744, 845, 946, 1049, 1057], "treat": [101, 102, 112, 509, 524, 525, 979, 994, 995], "10000": [101, 171, 254, 542], "might": [101, 102, 112, 128, 134, 217, 221, 254, 268, 557, 638, 652, 701, 706, 734, 1031, 1049], "issu": [101, 102, 105, 112, 307, 308, 547, 638, 782, 783, 1018, 1049], "iso8601": [101, 102, 112], "physic": [101, 102, 173, 254, 295, 553, 638, 653, 675, 676, 734, 769, 1032, 1049], "cpu": [101, 102], "system": [101, 102], "wrongli": 101, 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188, 189, 208, 209, 225, 228, 234, 235, 238, 240, 254, 262, 369, 380, 437, 464, 481, 482, 483, 484, 485, 486, 488, 489, 490, 559, 563, 564, 565, 566, 582, 583, 584, 585, 594, 599, 605, 606, 609, 610, 614, 622, 623, 638, 670, 671, 680, 681, 682, 683, 686, 687, 690, 702, 703, 710, 716, 717, 720, 722, 734, 857, 946, 947, 948, 950, 953, 954, 955, 1049], "nativ": [101, 106, 110, 122, 133, 170, 196, 197, 214, 236, 254, 268, 567, 638, 643, 718, 744, 1049, 1057], "parser": 101, "even": [101, 466, 470, 638, 936, 1049], "regard": [101, 579], "sens": [101, 106, 110, 114, 116, 180, 227, 254, 464, 638, 685, 734], "particular": [101, 106, 110, 114, 116, 144, 254, 839, 1049], "usernam": [101, 103, 106, 110, 114, 116], "password": [101, 103, 106, 110, 114, 116], "skip": [101, 102, 105, 110, 112, 116, 225, 254, 744, 1049], "offset": [101, 102, 106, 110, 112, 114, 115, 116, 158, 159, 206, 227, 232, 254, 316, 324, 337, 338, 341, 345, 352, 424, 503, 528, 534, 536, 587, 588, 638, 670, 671, 700, 714, 734, 792, 800, 817, 818, 821, 825, 832, 907, 973, 998, 1004, 1006, 1049], "row_count": [101, 102, 106, 110, 112, 114, 115, 116], "sampl": [101, 102, 236, 254, 502, 638, 718, 972, 1049], "estim": [101, 102, 144, 254, 269, 361, 362, 396, 568, 638, 734, 839, 841, 842, 880, 1049], "alloc": [101, 102, 144, 190, 254, 839, 1049], "lazili": [101, 102, 112, 113, 114, 115, 116, 439, 638], "glob": [101, 102, 112, 114, 115, 116], "continu": [101, 110, 310, 470, 502, 638, 785, 936, 972, 1049], "benchmark": [101, 110], "50000": 102, "batchedcsvread": [102, 649], "upon": 102, "creation": 102, "gather": 102, "next_batch": 102, "big": 102, "interest": 102, "seen_group": 102, "big_fil": 102, "df_current_batch": 102, "concat": [102, 772, 925, 1049], "partition_df": 102, "partition_bi": [102, 171, 254], "as_dict": [102, 185, 254], "fh": 102, "write_csv": [102, 112, 254], "els": [102, 629], "partition_on": 103, "partition_rang": 103, "partition_num": 103, "dbreadengin": 103, "connectorx": [103, 118], "raw": 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626, 638, 652, 701, 706, 734, 743, 801, 1004, 1006, 1049], "avoid": [104, 196, 254, 263, 638], "year": [104, 113, 158, 159, 173, 227, 254, 328, 329, 341, 342, 345, 352, 353, 482, 483, 484, 485, 486, 488, 489, 490, 586, 587, 589, 638, 670, 671, 676, 734, 804, 805, 821, 822, 825, 832, 833], "2021": [104, 113, 139, 156, 158, 227, 254, 534, 603, 670, 734, 737, 796, 797, 805, 829, 876, 1004, 1049], "aw": [104, 113], "googl": [104, 113], "service_account": [104, 113], "service_account_json_absolute_path": [104, 113], "az": [104, 113], "adl": [104, 113], "abf": [104, 113], "azure_storage_account_nam": [104, 113], "azure_storage_account_kei": [104, 113], "without_fil": [104, 113], "track": [104, 113, 133, 254, 429, 1056], "sheet_id": 105, "sheet_nam": 105, "xlsx2csv_option": 105, "read_csv_opt": 105, "noreturn": 105, "xlsx2csv": [105, 118], "read_csv": [105, 112], "nor": [105, 198, 254], "skip_empty_lin": 105, "my": [105, 117, 540, 1010], "datasheet": 105, "correct": [105, 361, 362, 396, 487, 502, 638, 680, 734, 841, 842, 880, 952, 972, 1049], "look": [105, 286, 429, 760], "whole": [105, 504, 505, 515, 638, 718, 734, 985], "With": [105, 133, 169, 254, 268, 482, 483, 484, 485, 486, 488, 489, 490, 638, 744, 879, 1049], "1000": [105, 144, 216, 254, 330, 331, 542, 810, 1028, 1049, 1057], "spreadsheet": [105, 187, 254], "xl": 105, "xlsm": 105, "xlsb": 105, "odf": 105, "od": 105, "odt": 105, "memory_map": [106, 110, 114], "v2": [106, 114], "greatli": [106, 114], "repeat": [106, 114, 310, 470, 474, 476, 612, 630, 638], "give": [106, 110, 114, 115, 116, 179, 223, 254, 325, 396, 476, 555, 638, 649, 684, 707, 734, 801, 880, 1049], "That": [106, 680, 734], "filenam": 106, "my_fil": 106, "write_ipc": [106, 254], "read_ndjson": 108, "becaus": [109, 133, 144, 158, 174, 225, 236, 254, 410, 492, 498, 587, 638, 670, 718, 734, 744, 839, 893, 1049], "parallelstrategi": [110, 116], "use_statist": [110, 116], "awar": [110, 170, 196, 197, 214, 254, 534, 536, 1004, 1006], "stabl": [110, 134, 138, 198, 221, 254, 434, 638, 652, 684, 701, 706, 734], "row_group": [110, 116], "read_tabl": 110, "with_column_nam": 112, "push": [112, 114, 115, 116, 117], "down": [112, 114, 115, 116, 117, 372, 638, 851, 1049], "therebi": [112, 114, 115, 116], "potenti": [112, 114, 115, 116, 170, 195, 197, 254], "overhead": [112, 114, 115, 116], "realloc": [112, 114, 115, 146, 254, 743, 845, 1049], "headerless": 112, "unlik": [112, 158, 254, 670, 734], "fewer": [112, 470, 638, 936, 1049], "my_long_fil": 112, "doesn": [112, 158, 254, 292, 357, 638, 670, 734, 838, 1039, 1049], "thing": [112, 593, 602], "less": [112, 173, 254, 398, 436, 520, 526, 531, 542, 638, 676, 734, 990, 996, 1001, 1012, 1057], "breezah": 112, "languag": [112, 158, 159, 173, 227, 254, 341, 345, 352, 482, 483, 484, 485, 486, 488, 489, 490, 638, 670, 671, 676, 734, 821, 825, 832], "hard": [112, 680, 734], "mydf": 112, "lambda": [112, 133, 152, 186, 236, 254, 268, 360, 361, 362, 429, 437, 438, 481, 567, 582, 583, 594, 604, 614, 638, 680, 688, 718, 734, 744, 840, 841, 842, 912, 1049], "lower": [112, 158, 189, 246, 254, 298, 300, 383, 435, 438, 471, 475, 486, 569, 587, 588, 600, 601, 613, 626, 627, 638, 663, 670, 690, 728, 734, 776, 860, 918, 937, 940, 951, 1036, 1049], "simpli": [112, 464, 582, 594, 638], "idx": [112, 158, 171, 254, 429, 670, 734, 912, 961, 1049], "uint16": [112, 307, 308, 547, 638, 737, 782, 783, 1018, 1049], "u16": [112, 124, 1057], "eu": 113, "central": [113, 396, 502, 638, 880, 972, 1049], "allow_pyarrow_filt": 117, "comparison": 117, "dset": 117, "folder": 117, "05": [117, 119, 120, 124, 173, 227, 254, 318, 319, 323, 344, 346, 348, 351, 587, 676, 734, 737, 794, 795, 796, 797, 798, 799, 824, 825, 828, 829, 831, 832, 834], "04": [117, 158, 227, 254, 318, 319, 323, 327, 334, 335, 336, 337, 338, 344, 345, 346, 347, 348, 351, 353, 355, 534, 587, 590, 670, 734, 737, 795, 799, 803, 809, 811, 814, 815, 816, 817, 818, 819, 823, 824, 826, 827, 828, 831, 833, 834, 835, 1004], "stdout": [118, 130, 156, 254, 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513, 532, 638, 675, 692, 719, 720, 722, 723, 724, 725, 726, 727, 728, 729, 734, 983, 1002], "banana": [137, 213, 237, 238, 240, 241, 242, 243, 244, 245, 246, 247, 254, 478, 638, 719, 720, 722, 723, 724, 725, 726, 727, 728, 729], "pairwis": [138, 254], "pearson": [138, 254, 396, 502, 579, 638, 880, 972, 1049], "correl": [138, 254, 579, 616], "coeffici": [138, 254, 502, 638, 972, 1049], "corrcoef": [138, 254], "percentil": [139, 254, 786, 1049], "summari": [139, 254, 786, 1049], "glimps": [139, 161, 254], "usd": [139, 156, 254, 1057], "2020": [139, 156, 159, 254, 319, 323, 324, 327, 330, 331, 333, 335, 340, 344, 347, 348, 351, 352, 534, 535, 536, 671, 734, 737, 795, 799, 800, 803, 810, 812, 815, 820, 824, 827, 828, 831, 832, 1004, 1005, 1006], "null_count": [139, 142, 254, 309, 638, 734, 784, 786, 1049], "266667": [139, 254], "666667": [139, 177, 228, 242, 254, 360, 638, 710, 724, 734], "std": [139, 254, 481, 488, 638, 734, 786, 953, 1049], "101514": [139, 254], "707107": [139, 254, 361, 488, 638, 841, 1049], "57735": [139, 254], "median": [139, 187, 254, 368, 484, 638, 713, 734, 786, 949, 1049], "more_column": [140, 145, 201, 224, 254, 363, 592, 638, 658, 662, 696, 708, 734], "Or": [140, 157, 158, 159, 173, 207, 227, 234, 254, 464, 505, 576, 629, 638, 658, 669, 670, 671, 676, 701, 716, 734], "subset": [142, 183, 223, 254, 659, 707, 734], "snippet": [142, 254, 659, 734], "all_horizont": [142, 254, 563, 659, 734], "is_nul": [142, 254, 638, 659, 734, 1049], "sizeunit": [144, 254, 839, 1049], "heap": [144, 254, 839, 1049], "its": [144, 254, 318, 345, 352, 505, 638, 794, 825, 832, 839, 1049], "bitmap": [144, 254, 839, 1049], "therefor": [144, 254, 629, 839, 1049], "structarrai": [144, 254, 839, 1049], "constant": [144, 159, 254, 316, 366, 638, 671, 734, 792, 839, 846, 1049], "unchang": [144, 254, 553, 638, 680, 718, 734, 839, 1032, 1049], "capac": [144, 205, 254, 839, 967, 1049], "ffi": [144, 254, 839, 1049], "kb": [144, 254, 839, 1049], "mb": [144, 254, 839, 1049], "gb": [144, 254, 839, 1049], "tb": [144, 254, 839, 1049], "revers": [144, 254, 304, 305, 306, 307, 308, 438, 468, 546, 638, 734, 780, 781, 782, 783, 1049], "1_000_000": [144, 254, 839, 1049], "25888898": [144, 254], "689577102661133": [144, 254], "long": [145, 179, 225, 254, 662, 684, 734], "letter": [145, 239, 248, 254, 363, 516, 592, 638, 662, 721, 730, 734, 737, 986], "onlin": [146, 254, 743, 845, 1049], "rerun": [146, 254, 743, 845, 1049], "conveni": [146, 254, 743, 845, 1049], "evalu": [147, 149, 173, 254, 265, 279, 309, 381, 401, 402, 429, 439, 463, 563, 565, 569, 573, 587, 588, 591, 600, 601, 612, 615, 621, 626, 627, 629, 630, 638, 666, 673, 675, 676, 734, 754, 784, 884, 885, 1040, 1049], "Not": [147, 254, 389, 391, 439, 638, 664, 734], "To": [147, 254, 314, 315, 341, 368, 509, 515, 516, 524, 540, 622, 638, 664, 734, 821, 979, 985, 986, 994, 1010, 1030, 1049], "fillnullstrategi": [148, 254, 368, 638, 665, 734, 848, 1049], "matches_supertyp": [148, 254, 665, 734], "forward": [148, 173, 254, 337, 368, 374, 638, 665, 676, 734, 817, 848, 1049], "consecut": [148, 254, 285, 368, 374, 508, 638, 665, 734, 848, 978, 1049], "fill_nan": [148, 254, 638, 734, 1049], "OR": [149, 254, 565, 566, 666, 734, 737], "reduct": [152, 254], "supercast": [152, 254], "parent": [152, 254], "rule": [152, 254], "arithmet": [152, 254], "zip_with": [152, 254, 1049], "foo11": [152, 254], "bar22": [152, 254], "null_equ": [153, 254, 959, 1049], "retriev": [154, 254, 403, 404, 543, 886, 887, 1013], "return_as_str": [156, 254, 450], "preview": [156, 254], "wide": [156, 179, 225, 254, 684, 734], "nice": [156, 254], "few": [156, 254], "rather": [156, 173, 254, 450, 480, 542, 638, 676, 734, 945, 1012, 1049], "head": [156, 175, 210, 254, 267, 400, 638, 679, 734, 882, 1019, 1049], "tail": [156, 161, 254, 267, 502, 638, 734, 855, 972, 1049], "more_bi": [157, 185, 207, 254, 505, 638, 669, 701, 734], "consist": [157, 185, 254, 534, 669, 734, 743, 845, 1004, 1049], "regardless": [157, 254, 518, 988], "agg": [157, 158, 159, 254, 262, 268, 369, 371, 504, 505, 549, 561, 580, 638, 656, 661, 663, 669, 670, 671, 689, 699, 734, 737], "index_column": [158, 159, 254, 670, 671, 734], "timedelta": [158, 159, 227, 254, 322, 325, 326, 329, 334, 336, 341, 342, 343, 345, 346, 350, 352, 353, 354, 356, 482, 483, 484, 485, 486, 488, 489, 490, 587, 588, 626, 627, 638, 670, 671, 734, 737, 806, 808, 813, 821, 825, 832, 928, 929, 1049], "period": [158, 159, 203, 204, 254, 345, 352, 360, 361, 362, 423, 465, 495, 496, 587, 588, 626, 627, 638, 670, 671, 697, 698, 734, 825, 832, 840, 841, 842, 906, 932, 964, 965, 1049], "include_boundari": [158, 254, 670, 734], "closedinterv": [158, 159, 254, 383, 482, 483, 484, 485, 486, 488, 489, 490, 587, 588, 626, 627, 638, 670, 671, 734, 860, 1049], "start_bi": [158, 254, 670, 734], "startbi": [158, 254, 670, 734], "window": [158, 159, 254, 309, 345, 352, 360, 361, 362, 464, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 577, 616, 617, 638, 670, 671, 734, 784, 825, 832, 840, 841, 842, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 1049], "check_sort": [158, 159, 254, 670, 671, 734], "dynamicgroupbi": [158, 254], "groupbi": [158, 159, 183, 254, 262, 268, 309, 369, 371, 410, 464, 504, 505, 549, 561, 567, 580, 638, 656, 661, 663, 670, 671, 689, 699, 734, 737, 784, 893, 1049], "member": [158, 254, 670, 734, 867, 1049], "seen": [158, 254, 285, 374, 638, 670, 734], "roll": [158, 159, 254, 337, 338, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 577, 616, 617, 638, 670, 671, 734, 817, 818, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 1049], "slot": [158, 254, 309, 312, 408, 638, 670, 734, 784, 787, 891, 1049], "interv": [158, 159, 227, 254, 310, 328, 345, 346, 352, 383, 470, 482, 483, 484, 485, 486, 488, 489, 490, 587, 588, 626, 627, 638, 670, 671, 734, 785, 798, 801, 802, 804, 809, 811, 814, 816, 819, 822, 823, 825, 826, 830, 832, 833, 834, 836, 860, 936, 1049], "1n": [158, 159, 173, 227, 254, 341, 345, 352, 482, 483, 484, 485, 486, 488, 489, 490, 638, 670, 671, 676, 734, 821, 825, 832], "nanosecond": [158, 159, 173, 227, 254, 341, 345, 346, 352, 482, 483, 484, 485, 486, 488, 489, 490, 590, 638, 670, 671, 676, 734, 821, 825, 826, 832], "1u": [158, 159, 173, 227, 254, 341, 345, 352, 482, 483, 484, 485, 486, 488, 489, 490, 638, 670, 671, 676, 734, 821, 825, 832], "microsecond": [158, 159, 170, 173, 196, 197, 214, 227, 254, 341, 345, 346, 352, 482, 483, 484, 485, 486, 488, 489, 490, 589, 590, 625, 638, 670, 671, 676, 689, 734, 737, 821, 825, 832], "1m": [158, 159, 173, 227, 254, 330, 331, 333, 340, 341, 345, 347, 352, 482, 483, 484, 485, 486, 488, 489, 490, 638, 670, 671, 676, 734, 810, 812, 820, 821, 825, 827, 832], "millisecond": [158, 159, 173, 227, 254, 341, 345, 352, 482, 483, 484, 485, 486, 488, 489, 490, 590, 638, 670, 671, 676, 734, 737, 821, 825, 832], "minut": [158, 159, 173, 227, 254, 341, 345, 352, 482, 483, 484, 485, 486, 488, 489, 490, 589, 590, 625, 626, 638, 670, 671, 676, 734, 737, 821, 825, 832], "1h": [158, 159, 173, 227, 254, 324, 341, 345, 352, 482, 483, 484, 485, 486, 488, 489, 490, 626, 627, 638, 670, 671, 676, 734, 800, 802, 821, 825, 832], "hour": [158, 159, 173, 227, 254, 341, 345, 352, 482, 483, 484, 485, 486, 488, 489, 490, 587, 589, 590, 625, 626, 638, 670, 671, 676, 734, 737, 821, 825, 832], "1d": [158, 159, 173, 227, 254, 317, 327, 335, 341, 345, 352, 355, 482, 483, 484, 485, 486, 488, 489, 490, 587, 588, 603, 638, 670, 671, 676, 734, 737, 793, 801, 803, 806, 807, 808, 813, 815, 821, 825, 830, 832, 834, 835], "1w": [158, 159, 173, 227, 254, 341, 345, 352, 482, 483, 484, 485, 486, 488, 489, 490, 638, 670, 671, 676, 734, 821, 825, 832], "week": [158, 159, 173, 227, 254, 341, 345, 352, 354, 482, 483, 484, 485, 486, 488, 489, 490, 590, 638, 670, 671, 676, 734, 737, 821, 825, 832, 834], "1mo": [158, 159, 173, 227, 254, 319, 323, 337, 338, 341, 344, 345, 352, 482, 483, 484, 485, 486, 488, 489, 490, 587, 588, 638, 670, 671, 676, 734, 795, 799, 816, 817, 818, 821, 822, 823, 824, 825, 832, 833], "month": [158, 159, 173, 227, 254, 322, 337, 338, 341, 345, 352, 482, 483, 484, 485, 486, 488, 489, 490, 586, 587, 588, 589, 638, 670, 671, 676, 734, 798, 817, 818, 821, 825, 832], "1q": [158, 159, 173, 227, 254, 341, 345, 352, 482, 483, 484, 485, 486, 488, 489, 490, 638, 670, 671, 676, 734, 821, 825, 832], "quarter": [158, 159, 173, 227, 254, 341, 345, 352, 482, 483, 484, 485, 486, 488, 489, 490, 638, 670, 671, 676, 734, 821, 825, 832], "1y": [158, 159, 173, 227, 254, 328, 341, 345, 352, 482, 483, 484, 485, 486, 488, 489, 490, 587, 638, 670, 671, 676, 734, 804, 821, 825, 832, 836], "1i": [158, 159, 173, 227, 254, 341, 482, 483, 484, 485, 486, 488, 489, 490, 638, 670, 671, 676, 734, 821], "3d12h4m25": [158, 159, 173, 227, 254, 345, 352, 670, 671, 676, 734, 825, 832], "suffix": [158, 159, 172, 173, 200, 227, 231, 234, 254, 263, 289, 341, 345, 352, 389, 391, 392, 393, 438, 464, 468, 478, 482, 483, 484, 485, 486, 488, 489, 490, 513, 638, 670, 671, 675, 676, 695, 712, 713, 716, 734, 737, 763, 821, 825, 832, 983], "_satur": [158, 159, 173, 227, 254, 341, 345, 352, 482, 483, 484, 485, 486, 488, 489, 490, 587, 588, 638, 670, 671, 676, 734, 821, 825, 832], "satur": [158, 159, 173, 227, 254, 341, 345, 352, 482, 483, 484, 485, 486, 488, 489, 490, 638, 670, 671, 676, 734, 821, 825, 832], "28": [158, 159, 173, 213, 227, 254, 261, 341, 344, 345, 352, 355, 482, 483, 484, 485, 486, 488, 489, 490, 587, 638, 670, 671, 676, 734, 821, 824, 825, 832, 835, 1057], "correspond": [158, 159, 173, 217, 227, 254, 329, 341, 345, 352, 473, 480, 482, 483, 484, 485, 486, 488, 489, 490, 638, 670, 671, 676, 734, 805, 821, 825, 832, 938, 945, 1049], "due": [158, 159, 173, 197, 227, 254, 263, 293, 324, 341, 345, 352, 395, 468, 482, 483, 484, 485, 486, 488, 489, 490, 492, 498, 546, 638, 670, 671, 676, 734, 766, 800, 821, 825, 832, 1049], "daylight": [158, 159, 173, 227, 254, 316, 324, 341, 345, 352, 482, 483, 484, 485, 486, 488, 489, 490, 638, 670, 671, 676, 734, 800, 821, 825, 832], "10i": 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671, 734], "metadata": [158, 159, 254, 670, 671, 734], "verifi": [158, 159, 254, 670, 671, 734], "incorrectli": [158, 159, 254, 429, 670, 671, 734], "incorrect": [158, 159, 254, 355, 494, 638, 670, 671, 718, 734, 835, 962, 1049], "re": [158, 217, 254, 337, 338, 670, 734, 817, 818, 1056], "come": [158, 254, 337, 338, 396, 638, 650, 670, 733, 734, 817, 818, 880, 1049], "set_index": [158, 254, 670, 734], "resampl": [158, 254, 670, 734], "reset_index": [158, 254, 670, 734], "though": [158, 254, 670, 734], "evenli": [158, 254, 470, 638, 670, 734, 936, 1049], "upsampl": [158, 254, 670, 734], "date_rang": [158, 227, 254, 317, 319, 322, 323, 325, 326, 327, 328, 329, 330, 331, 333, 334, 335, 336, 337, 338, 340, 341, 342, 343, 344, 345, 346, 347, 350, 352, 353, 354, 355, 356, 482, 483, 485, 488, 489, 490, 638, 670, 734, 792, 793, 795, 798, 799, 800, 801, 802, 803, 804, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 830, 832, 833, 834, 835, 836], "30m": [158, 254, 345, 352, 670, 734, 825, 832], "time_min": [158, 254, 670, 734], "time_max": [158, 254, 670, 734], "23": [158, 159, 254, 318, 322, 326, 342, 345, 354, 482, 483, 485, 488, 489, 490, 589, 625, 626, 627, 638, 670, 671, 734, 737, 794, 802, 1057], "boundari": [158, 254, 298, 299, 300, 352, 638, 670, 734, 774, 775, 776, 832, 856, 1049], "time_count": [158, 254, 670, 734], "_lower_boundari": [158, 254, 670, 734], "_upper_boundari": [158, 254, 670, 734], "lower_bound": [158, 254, 298, 300, 383, 638, 670, 734, 774, 776, 860, 1036, 1049], "upper_bound": [158, 254, 298, 299, 383, 429, 638, 670, 734, 774, 775, 860, 918, 1049], "time_agg_list": [158, 254, 670, 734], "int_rang": [158, 225, 236, 254, 569, 670, 718, 734], "2i": [158, 254, 670, 734], "3i": [158, 254, 670, 734], "a_agg_list": [158, 254, 670, 734], "rollinggroupbi": [159, 254], "dynamic_groupbi": [159, 254, 671, 734], "groupby_dynam": [159, 254, 671, 734], "t_0": [159, 254, 482, 483, 484, 485, 486, 488, 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[[76, "polars.exceptions.ArrowError"]], "columnnotfounderror": [[77, "polars.exceptions.ColumnNotFoundError"]], "computeerror": [[78, "polars.exceptions.ComputeError"]], "duplicateerror": [[79, "polars.exceptions.DuplicateError"]], "invalidoperationerror": [[80, "polars.exceptions.InvalidOperationError"]], "nodataerror": [[81, "polars.exceptions.NoDataError"]], "norowsreturnederror": [[82, "polars.exceptions.NoRowsReturnedError"]], "polarspanicerror": [[83, "polars.exceptions.PolarsPanicError"]], "rowserror": [[84, "polars.exceptions.RowsError"]], "schemaerror": [[85, "polars.exceptions.SchemaError"]], "schemafieldnotfounderror": [[86, "polars.exceptions.SchemaFieldNotFoundError"]], "shapeerror": [[87, "polars.exceptions.ShapeError"]], "structfieldnotfounderror": [[88, "polars.exceptions.StructFieldNotFoundError"]], "toomanyrowsreturnederror": [[89, "polars.exceptions.TooManyRowsReturnedError"]], "from_arrow() (in module polars)": [[90, "polars.from_arrow"]], "from_dataframe() (in module polars)": [[91, "polars.from_dataframe"]], "from_dict() (in module polars)": [[92, "polars.from_dict"]], "from_dicts() (in module polars)": [[93, "polars.from_dicts"]], "from_numpy() (in module polars)": [[94, "polars.from_numpy"]], "from_pandas() (in module polars)": [[95, "polars.from_pandas"]], "from_records() (in module polars)": [[96, "polars.from_records"]], "from_repr() (in module polars)": [[97, "polars.from_repr"]], "get_index_type() (in module polars)": [[98, "polars.get_index_type"]], "next_batches() (polars.io.csv.batched_reader.batchedcsvreader method)": [[99, "polars.io.csv.batched_reader.BatchedCsvReader.next_batches"]], "read_avro() (in module polars)": [[100, "polars.read_avro"]], "read_csv() (in module polars)": [[101, "polars.read_csv"]], "read_csv_batched() (in module polars)": [[102, "polars.read_csv_batched"]], "read_database() (in module polars)": [[103, "polars.read_database"]], "read_delta() (in module polars)": [[104, "polars.read_delta"]], "read_excel() (in module polars)": [[105, "polars.read_excel"]], "read_ipc() (in module polars)": [[106, "polars.read_ipc"]], "read_ipc_schema() (in module polars)": [[107, "polars.read_ipc_schema"]], "read_json() (in module polars)": [[108, "polars.read_json"]], "read_ndjson() (in module polars)": [[109, "polars.read_ndjson"]], "read_parquet() (in module polars)": [[110, "polars.read_parquet"]], "read_parquet_schema() (in module polars)": [[111, "polars.read_parquet_schema"]], "scan_csv() (in module polars)": [[112, "polars.scan_csv"]], "scan_delta() (in module polars)": [[113, "polars.scan_delta"]], "scan_ipc() (in module polars)": [[114, "polars.scan_ipc"]], "scan_ndjson() (in module polars)": [[115, "polars.scan_ndjson"]], "scan_parquet() (in module polars)": [[116, "polars.scan_parquet"]], "scan_pyarrow_dataset() (in module polars)": [[117, "polars.scan_pyarrow_dataset"]], "show_versions() (in module polars)": [[118, "polars.show_versions"]], "assert_frame_equal() (in module 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(polars.expr method)": [[562, "polars.Expr.xor"]], "all() (in module polars)": [[563, "polars.all"]], "all_horizontal() (in module polars)": [[564, "polars.all_horizontal"]], "any() (in module polars)": [[565, "polars.any"]], "any_horizontal() (in module polars)": [[566, "polars.any_horizontal"]], "apply() (in module polars)": [[567, "polars.apply"]], "approx_unique() (in module polars)": [[568, "polars.approx_unique"]], "arange() (in module polars)": [[569, "polars.arange"]], "arctan2() (in module polars)": [[570, "polars.arctan2"]], "arctan2d() (in module polars)": [[571, "polars.arctan2d"]], "arg_sort_by() (in module polars)": [[572, "polars.arg_sort_by"]], "arg_where() (in module polars)": [[573, "polars.arg_where"]], "avg() (in module polars)": [[574, "polars.avg"]], "coalesce() (in module polars)": [[575, "polars.coalesce"]], "col() (in module polars)": [[576, "polars.col"]], "concat_list() (in module polars)": [[577, "polars.concat_list"]], "concat_str() (in module polars)": 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polars)": [[629, "polars.when"]], "zeros() (in module polars)": [[630, "polars.zeros"]], "bottom_k() (polars.lazyframe method)": [[652, "polars.LazyFrame.bottom_k"]], "cache() (polars.lazyframe method)": [[653, "polars.LazyFrame.cache"]], "clear() (polars.lazyframe method)": [[654, "polars.LazyFrame.clear"]], "clone() (polars.lazyframe method)": [[655, "polars.LazyFrame.clone"]], "collect() (polars.lazyframe method)": [[656, "polars.LazyFrame.collect"]], "columns (polars.lazyframe property)": [[657, "polars.LazyFrame.columns"]], "drop() (polars.lazyframe method)": [[658, "polars.LazyFrame.drop"]], "drop_nulls() (polars.lazyframe method)": [[659, "polars.LazyFrame.drop_nulls"]], "dtypes (polars.lazyframe property)": [[660, "polars.LazyFrame.dtypes"]], "explain() (polars.lazyframe method)": [[661, "polars.LazyFrame.explain"]], "explode() (polars.lazyframe method)": [[662, "polars.LazyFrame.explode"]], "fetch() (polars.lazyframe method)": [[663, "polars.LazyFrame.fetch"]], "fill_nan() 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(polars.lazyframe method)": [[690, "polars.LazyFrame.quantile"]], "read_json() (polars.lazyframe class method)": [[691, "polars.LazyFrame.read_json"]], "rename() (polars.lazyframe method)": [[692, "polars.LazyFrame.rename"]], "reverse() (polars.lazyframe method)": [[693, "polars.LazyFrame.reverse"]], "schema (polars.lazyframe property)": [[694, "polars.LazyFrame.schema"]], "select() (polars.lazyframe method)": [[695, "polars.LazyFrame.select"]], "set_sorted() (polars.lazyframe method)": [[696, "polars.LazyFrame.set_sorted"]], "shift() (polars.lazyframe method)": [[697, "polars.LazyFrame.shift"]], "shift_and_fill() (polars.lazyframe method)": [[698, "polars.LazyFrame.shift_and_fill"]], "show_graph() (polars.lazyframe method)": [[699, "polars.LazyFrame.show_graph"]], "slice() (polars.lazyframe method)": [[700, "polars.LazyFrame.slice"]], "sort() (polars.lazyframe method)": [[701, "polars.LazyFrame.sort"]], "std() (polars.lazyframe method)": [[702, "polars.LazyFrame.std"]], "sum() (polars.lazyframe method)": [[703, "polars.LazyFrame.sum"]], "tail() (polars.lazyframe method)": [[704, "polars.LazyFrame.tail"]], "take_every() (polars.lazyframe method)": [[705, "polars.LazyFrame.take_every"]], "top_k() (polars.lazyframe method)": [[706, "polars.LazyFrame.top_k"]], "unique() (polars.lazyframe method)": [[707, "polars.LazyFrame.unique"]], "unnest() (polars.lazyframe method)": [[708, "polars.LazyFrame.unnest"]], "update() (polars.lazyframe method)": [[709, "polars.LazyFrame.update"]], "var() (polars.lazyframe method)": [[710, "polars.LazyFrame.var"]], "width (polars.lazyframe property)": [[711, "polars.LazyFrame.width"]], "with_columns() (polars.lazyframe method)": [[712, "polars.LazyFrame.with_columns"]], "with_context() (polars.lazyframe method)": [[713, "polars.LazyFrame.with_context"]], "with_row_count() (polars.lazyframe method)": [[714, "polars.LazyFrame.with_row_count"]], "write_json() (polars.lazyframe method)": [[715, "polars.LazyFrame.write_json"]], "agg() (polars.lazyframe.groupby.lazygroupby method)": [[716, "polars.lazyframe.groupby.LazyGroupBy.agg"]], "all() (polars.lazyframe.groupby.lazygroupby method)": [[717, "polars.lazyframe.groupby.LazyGroupBy.all"]], "apply() (polars.lazyframe.groupby.lazygroupby method)": [[718, "polars.lazyframe.groupby.LazyGroupBy.apply"]], "count() (polars.lazyframe.groupby.lazygroupby method)": [[719, "polars.lazyframe.groupby.LazyGroupBy.count"]], "first() (polars.lazyframe.groupby.lazygroupby method)": [[720, "polars.lazyframe.groupby.LazyGroupBy.first"]], "head() (polars.lazyframe.groupby.lazygroupby method)": [[721, "polars.lazyframe.groupby.LazyGroupBy.head"]], "last() (polars.lazyframe.groupby.lazygroupby method)": [[722, "polars.lazyframe.groupby.LazyGroupBy.last"]], "max() (polars.lazyframe.groupby.lazygroupby method)": [[723, "polars.lazyframe.groupby.LazyGroupBy.max"]], "mean() (polars.lazyframe.groupby.lazygroupby method)": [[724, "polars.lazyframe.groupby.LazyGroupBy.mean"]], "median() (polars.lazyframe.groupby.lazygroupby method)": [[725, "polars.lazyframe.groupby.LazyGroupBy.median"]], "min() (polars.lazyframe.groupby.lazygroupby method)": [[726, "polars.lazyframe.groupby.LazyGroupBy.min"]], "n_unique() (polars.lazyframe.groupby.lazygroupby method)": [[727, "polars.lazyframe.groupby.LazyGroupBy.n_unique"]], "quantile() (polars.lazyframe.groupby.lazygroupby method)": [[728, "polars.lazyframe.groupby.LazyGroupBy.quantile"]], "sum() (polars.lazyframe.groupby.lazygroupby method)": [[729, "polars.lazyframe.groupby.LazyGroupBy.sum"]], "tail() (polars.lazyframe.groupby.lazygroupby method)": [[730, "polars.lazyframe.groupby.LazyGroupBy.tail"]], "all() (in module polars.selectors)": [[737, "polars.selectors.all"]], "by_dtype() (in module polars.selectors)": [[737, "polars.selectors.by_dtype"]], "by_name() (in module polars.selectors)": [[737, "polars.selectors.by_name"]], "contains() (in module polars.selectors)": [[737, "polars.selectors.contains"]], "datetime() (in module polars.selectors)": [[737, "polars.selectors.datetime"]], "duration() (in module polars.selectors)": [[737, "polars.selectors.duration"]], "ends_with() (in module polars.selectors)": [[737, "polars.selectors.ends_with"]], "first() (in module polars.selectors)": [[737, "polars.selectors.first"]], "float() (in module polars.selectors)": [[737, "polars.selectors.float"]], "integer() (in module polars.selectors)": [[737, "polars.selectors.integer"]], "is_selector() (in module polars.selectors)": [[737, "polars.selectors.is_selector"]], "last() (in module polars.selectors)": [[737, "polars.selectors.last"]], "matches() (in module polars.selectors)": [[737, "polars.selectors.matches"]], "module": [[737, "module-polars.selectors"]], "numeric() (in module polars.selectors)": [[737, "polars.selectors.numeric"]], "polars.selectors": [[737, "module-polars.selectors"]], "selector_column_names() (in module polars.selectors)": [[737, "polars.selectors.selector_column_names"]], "starts_with() (in module polars.selectors)": [[737, "polars.selectors.starts_with"]], "string() (in module polars.selectors)": [[737, "polars.selectors.string"]], "temporal() (in module polars.selectors)": [[737, "polars.selectors.temporal"]], "abs() (polars.series method)": [[739, "polars.Series.abs"]], "alias() (polars.series method)": [[740, "polars.Series.alias"]], "all() (polars.series method)": [[741, "polars.Series.all"]], "any() (polars.series method)": [[742, "polars.Series.any"]], "append() (polars.series method)": [[743, "polars.Series.append"]], "apply() (polars.series method)": [[744, "polars.Series.apply"]], "arccos() (polars.series method)": [[745, "polars.Series.arccos"]], "arccosh() (polars.series method)": [[746, "polars.Series.arccosh"]], "arcsin() (polars.series method)": [[747, "polars.Series.arcsin"]], "arcsinh() (polars.series method)": [[748, "polars.Series.arcsinh"]], "arctan() (polars.series method)": [[749, "polars.Series.arctan"]], "arctanh() (polars.series method)": [[750, 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683, 684, 686, 687, 690, 692, 697, 698, 701, 702, 703, 706, 709, 710, 715, 719, 720, 722, 723, 724, 726, 727, 734, 737, 739, 741, 742, 743, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 756, 757, 758, 759, 761, 762, 763, 764, 769, 771, 774, 775, 776, 778, 779, 784, 785, 786, 787, 789, 790, 794, 798, 816, 822, 833, 839, 840, 841, 842, 845, 846, 847, 848, 851, 853, 854, 855, 856, 857, 859, 860, 862, 864, 865, 867, 868, 870, 871, 872, 873, 877, 882, 884, 885, 886, 887, 890, 891, 895, 896, 897, 900, 902, 903, 904, 906, 910, 914, 919, 920, 921, 923, 924, 926, 928, 929, 930, 931, 932, 935, 936, 937, 938, 944, 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 957, 958, 959, 960, 961, 964, 965, 969, 970, 971, 972, 978, 979, 980, 981, 982, 983, 985, 986, 987, 988, 989, 992, 994, 995, 998, 1000, 1001, 1002, 1012, 1018, 1019, 1020, 1021, 1022, 1023, 1030, 1031, 1032, 1035, 1037, 1039, 1040, 1049, 1057], "within": [2, 49, 119, 120, 157, 158, 159, 173, 227, 254, 473, 505, 638, 670, 671, 676, 734, 1056], "exampl": [2, 8, 9, 10, 12, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 47, 48, 49, 52, 53, 54, 55, 56, 57, 58, 59, 67, 68, 69, 70, 71, 74, 75, 90, 92, 93, 94, 95, 96, 97, 99, 102, 103, 104, 105, 112, 113, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 202, 203, 204, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 254, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 333, 334, 335, 336, 337, 338, 340, 341, 342, 343, 344, 345, 346, 347, 348, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 587, 588, 590, 591, 592, 593, 594, 595, 596, 598, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 614, 615, 618, 619, 620, 621, 622, 623, 624, 626, 627, 628, 629, 630, 638, 649, 652, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 692, 693, 694, 695, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 734, 740, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 759, 765, 766, 768, 769, 771, 772, 773, 774, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 838, 839, 840, 841, 842, 845, 846, 847, 848, 849, 851, 854, 855, 856, 859, 860, 861, 862, 863, 864, 866, 867, 868, 869, 870, 871, 872, 873, 874, 876, 877, 878, 879, 881, 884, 885, 891, 892, 893, 894, 897, 898, 899, 901, 906, 907, 908, 910, 912, 913, 918, 919, 920, 921, 922, 923, 924, 925, 926, 932, 933, 934, 936, 937, 938, 941, 942, 943, 944, 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 956, 957, 959, 960, 961, 962, 964, 968, 969, 970, 971, 973, 974, 976, 978, 979, 980, 982, 983, 984, 985, 986, 987, 988, 989, 990, 991, 992, 993, 994, 995, 996, 997, 998, 1000, 1001, 1002, 1003, 1004, 1005, 1006, 1007, 1008, 1009, 1010, 1011, 1017, 1018, 1019, 1020, 1021, 1022, 1023, 1025, 1026, 1027, 1028, 1029, 1030, 1031, 1032, 1033, 1034, 1035, 1036, 1037, 1038, 1039, 1040, 1049, 1056], "dtype": [2, 31, 38, 70, 74, 75, 90, 92, 94, 96, 97, 101, 102, 108, 109, 112, 121, 122, 123, 124, 126, 132, 158, 159, 173, 216, 217, 218, 254, 268, 293, 294, 298, 299, 300, 307, 308, 355, 363, 405, 428, 435, 437, 439, 475, 476, 482, 483, 484, 485, 486, 488, 489, 490, 497, 517, 534, 547, 549, 553, 558, 567, 569, 580, 592, 596, 600, 601, 603, 604, 612, 615, 621, 630, 638, 670, 671, 676, 734, 737, 756, 757, 766, 768, 773, 774, 775, 776, 782, 783, 786, 787, 835, 839, 863, 869, 876, 888, 911, 918, 919, 943, 959, 966, 987, 1004, 1018, 1028, 1030, 1031, 1032, 1036, 1049, 1057], "method": [2, 3, 4, 5, 8, 27, 32, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 49, 50, 51, 56, 58, 59, 60, 61, 62, 63, 64, 65, 66, 74, 91, 101, 102, 105, 121, 130, 133, 142, 146, 157, 165, 170, 183, 189, 195, 196, 197, 223, 231, 236, 246, 254, 261, 264, 265, 268, 292, 348, 351, 358, 359, 366, 373, 376, 377, 382, 395, 398, 436, 454, 456, 460, 461, 463, 467, 468, 471, 473, 482, 483, 484, 485, 486, 488, 489, 490, 537, 545, 546, 555, 557, 562, 567, 579, 587, 613, 615, 626, 631, 632, 634, 638, 639, 640, 643, 644, 645, 646, 649, 659, 674, 690, 707, 712, 718, 728, 734, 743, 744, 828, 831, 845, 846, 859, 937, 938, 951, 1007, 1032, 1041, 1043, 1045, 1049, 1050, 1053, 1054, 1055], "attribut": [2, 3, 4, 5, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 49, 50, 51, 59, 60, 61, 62, 63, 64, 65, 66, 121, 254, 631, 632, 634, 639, 640, 644, 645, 646, 734, 1041, 1043, 1045, 1050, 1053, 1054, 1055], "A": [5, 28, 31, 52, 55, 73, 97, 101, 102, 103, 110, 112, 128, 152, 158, 173, 187, 213, 225, 226, 227, 231, 254, 260, 292, 310, 318, 358, 359, 366, 376, 377, 385, 388, 389, 391, 398, 429, 436, 437, 448, 460, 461, 478, 481, 482, 483, 484, 485, 486, 488, 489, 490, 509, 510, 515, 516, 518, 524, 525, 542, 577, 591, 595, 638, 670, 676, 692, 709, 712, 734, 737, 785, 794, 846, 946, 947, 948, 950, 953, 954, 955, 979, 980, 985, 986, 988, 994, 995, 1012, 1049, 1056], "encod": [5, 66, 101, 102, 112, 215, 254, 286, 287, 289, 290, 375, 511, 638, 761, 981], "set": [5, 6, 7, 8, 9, 10, 12, 14, 15, 18, 23, 24, 26, 28, 30, 31, 32, 33, 34, 47, 48, 67, 68, 91, 93, 96, 101, 102, 105, 106, 110, 112, 114, 115, 116, 119, 120, 122, 123, 124, 125, 126, 127, 128, 130, 132, 137, 142, 151, 157, 158, 159, 160, 170, 173, 179, 198, 200, 206, 215, 217, 222, 223, 225, 231, 254, 268, 355, 378, 387, 409, 415, 424, 428, 429, 430, 439, 466, 470, 481, 482, 483, 484, 485, 486, 488, 489, 490, 492, 498, 502, 503, 521, 527, 528, 533, 534, 535, 536, 539, 569, 573, 587, 588, 600, 601, 612, 615, 616, 617, 621, 626, 627, 629, 630, 638, 649, 659, 661, 669, 670, 671, 675, 676, 680, 684, 695, 700, 707, 712, 715, 718, 734, 743, 744, 835, 854, 867, 892, 898, 907, 911, 912, 913, 919, 946, 947, 948, 949, 950, 951, 953, 954, 955, 957, 961, 968, 972, 973, 991, 997, 998, 1003, 1004, 1005, 1006, 1009, 1030, 1049, 1057], "string": [5, 7, 9, 12, 13, 14, 18, 28, 31, 33, 34, 38, 52, 58, 66, 75, 97, 101, 102, 112, 121, 122, 123, 126, 129, 134, 152, 156, 157, 158, 159, 173, 187, 197, 200, 207, 216, 221, 222, 225, 227, 231, 234, 254, 261, 289, 295, 341, 345, 348, 351, 352, 365, 371, 375, 383, 416, 439, 450, 464, 466, 482, 483, 484, 485, 486, 488, 489, 490, 505, 508, 509, 512, 513, 514, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 542, 563, 564, 565, 566, 572, 575, 577, 578, 584, 585, 587, 588, 595, 605, 606, 609, 610, 618, 621, 622, 623, 626, 627, 638, 652, 661, 668, 669, 670, 671, 676, 695, 701, 706, 712, 715, 716, 734, 737, 763, 769, 821, 825, 828, 831, 832, 844, 860, 899, 977, 978, 979, 983, 984, 986, 987, 988, 989, 990, 991, 992, 993, 994, 995, 996, 997, 998, 999, 1000, 1001, 1002, 1003, 1004, 1005, 1006, 1008, 1010, 1011, 1012, 1028, 1049, 1057], "classmethod": [6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 375, 638, 668, 691, 734], "activ": [6, 10, 16, 17, 19, 20, 21, 22, 25, 292, 410, 516, 638, 893, 986], "bool": [6, 10, 14, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 28, 30, 31, 33, 35, 47, 48, 67, 73, 74, 75, 90, 91, 95, 97, 101, 102, 106, 109, 110, 112, 114, 115, 116, 117, 119, 120, 121, 122, 123, 124, 125, 126, 129, 132, 134, 135, 136, 148, 149, 151, 152, 153, 155, 156, 157, 158, 159, 163, 164, 166, 167, 168, 173, 185, 187, 197, 198, 201, 205, 207, 213, 215, 217, 218, 221, 222, 223, 224, 227, 229, 231, 238, 240, 241, 244, 254, 263, 264, 265, 266, 267, 268, 278, 284, 286, 287, 289, 290, 293, 304, 305, 306, 307, 308, 309, 310, 328, 344, 346, 352, 357, 358, 359, 360, 361, 362, 376, 377, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 396, 398, 401, 402, 406, 410, 425, 428, 431, 436, 437, 443, 444, 445, 446, 450, 460, 461, 463, 470, 473, 475, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 492, 494, 497, 498, 502, 504, 505, 509, 511, 513, 523, 524, 525, 529, 530, 532, 534, 535, 536, 539, 544, 556, 559, 562, 563, 564, 565, 566, 567, 569, 572, 573, 579, 582, 587, 588, 600, 601, 603, 612, 615, 621, 626, 627, 630, 638, 652, 654, 656, 661, 663, 665, 669, 670, 671, 675, 676, 680, 684, 689, 696, 699, 701, 706, 707, 708, 712, 720, 722, 723, 726, 734, 737, 741, 742, 743, 744, 753, 759, 761, 766, 773, 780, 781, 782, 783, 784, 785, 804, 824, 826, 832, 838, 840, 841, 842, 849, 853, 860, 861, 862, 863, 864, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 880, 884, 885, 889, 890, 893, 908, 911, 914, 933, 934, 936, 938, 939, 940, 941, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 957, 959, 961, 962, 967, 972, 974, 979, 981, 983, 993, 994, 995, 999, 1000, 1002, 1004, 1005, 1006, 1009, 1029, 1030, 1031, 1034, 1037, 1039, 1049, 1056], "decim": [6, 28, 31, 254, 491, 537, 638, 956, 1007, 1049], "temporari": 6, "remov": [6, 8, 140, 215, 226, 254, 268, 363, 438, 521, 527, 533, 534, 536, 592, 638, 658, 709, 734, 743, 991, 997, 1003, 1004, 1006, 1049], "later": [6, 587], "onc": [6, 55, 101, 102, 105, 128, 132, 133, 196, 198, 234, 254, 268, 492, 638, 653, 716, 734, 744, 957, 1049], "stabil": 6, "happen": [6, 470, 638, 936, 1049], "being": [6, 101, 102, 112, 117, 215, 225, 226, 254, 268, 309, 345, 482, 483, 484, 485, 486, 488, 489, 490, 492, 498, 591, 638, 709, 734, 784, 825, 856, 936, 1049, 1057], "consid": [6, 101, 102, 112, 117, 133, 142, 153, 179, 196, 223, 225, 226, 254, 268, 298, 299, 300, 309, 345, 437, 482, 483, 484, 485, 486, 488, 489, 490, 582, 594, 638, 659, 672, 679, 684, 707, 709, 718, 734, 744, 774, 775, 776, 784, 825, 856, 869, 936, 959, 960, 961, 1049], "break": [6, 117, 225, 226, 254, 268, 309, 310, 345, 470, 482, 483, 484, 485, 486, 488, 489, 490, 638, 709, 734, 784, 785, 825, 856, 936, 1049], "chang": [6, 26, 67, 101, 102, 117, 225, 226, 227, 254, 268, 309, 312, 345, 465, 482, 483, 484, 485, 486, 488, 489, 490, 492, 498, 638, 709, 734, 743, 784, 825, 856, 932, 936, 967, 1049], "current": [6, 9, 26, 54, 91, 97, 103, 129, 132, 135, 136, 172, 254, 324, 345, 429, 465, 638, 649, 654, 655, 675, 734, 737, 773, 777, 792, 800, 825, 932, 1049, 1056], "alpha": [6, 73, 268, 360, 361, 362, 638, 656, 661, 663, 689, 699, 734, 840, 841, 842, 1049], "state": [6, 8, 73, 83, 129, 582, 649, 656, 661, 663, 689, 699, 734], "cfg": [7, 8, 9, 15, 130], "path": [7, 9, 27, 28, 29, 30, 31, 32, 33, 34, 35, 47, 48, 100, 101, 102, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 254, 452, 494, 518, 638, 691, 699, 715, 734, 962, 988, 1049], "previous": 7, "save": [7, 158, 159, 173, 227, 254, 316, 324, 341, 345, 352, 482, 483, 484, 485, 486, 488, 489, 490, 638, 649, 670, 671, 676, 734, 800, 821, 825, 832], "share": [7, 58, 144, 254, 839, 1049], "option": [7, 8, 9, 26, 30, 31, 39, 67, 101, 104, 105, 106, 110, 113, 114, 116, 118, 121, 122, 123, 124, 125, 126, 127, 169, 173, 179, 213, 217, 222, 254, 396, 481, 482, 483, 484, 485, 486, 488, 489, 490, 502, 528, 603, 621, 629, 638, 649, 675, 676, 684, 734, 737, 876, 880, 946, 947, 948, 949, 950, 951, 953, 954, 955, 972, 998, 1027, 1049], "from": [7, 8, 28, 31, 52, 53, 54, 67, 74, 90, 91, 92, 93, 94, 95, 96, 97, 99, 100, 101, 102, 103, 104, 105, 106, 108, 109, 110, 112, 113, 114, 115, 116, 119, 120, 121, 122, 123, 124, 125, 126, 127, 139, 140, 144, 146, 151, 156, 158, 159, 170, 171, 173, 174, 179, 187, 191, 195, 197, 198, 200, 215, 222, 223, 225, 227, 254, 304, 311, 316, 317, 318, 319, 320, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 350, 351, 352, 353, 354, 355, 356, 359, 363, 375, 382, 396, 429, 458, 459, 461, 465, 466, 472, 482, 483, 485, 488, 489, 490, 492, 505, 515, 516, 517, 523, 534, 535, 536, 539, 557, 559, 570, 571, 575, 586, 587, 588, 589, 590, 615, 620, 625, 626, 627, 637, 638, 658, 663, 668, 670, 671, 676, 684, 691, 692, 695, 707, 713, 734, 737, 743, 790, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 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689, 699, 701, 706, 707, 734], "engin": [13, 29, 103, 128, 133, 157, 172, 223, 236, 254, 669, 675, 680, 684, 707, 718, 734, 744, 1049], "determin": [13, 31, 65, 67, 74, 93, 96, 101, 102, 105, 110, 112, 116, 133, 152, 158, 159, 170, 171, 222, 227, 254, 295, 328, 344, 352, 429, 439, 447, 470, 476, 482, 483, 484, 485, 486, 488, 489, 490, 502, 517, 537, 612, 615, 630, 638, 670, 671, 734, 769, 804, 824, 832, 856, 912, 919, 936, 972, 987, 1007, 1049], "schema": [13, 30, 52, 58, 68, 69, 70, 74, 75, 85, 86, 88, 90, 92, 93, 94, 96, 97, 101, 102, 103, 107, 108, 109, 111, 112, 115, 122, 124, 133, 135, 136, 143, 144, 180, 183, 217, 254, 281, 282, 283, 429, 447, 517, 562, 621, 638, 654, 655, 660, 680, 685, 715, 718, 734, 737, 758, 777, 987, 1049], "thread": [13, 28, 99, 101, 102, 103, 128, 254, 268, 410, 492, 498, 638, 893], "pool": [13, 128], "For": [13, 30, 31, 103, 104, 105, 113, 146, 159, 172, 173, 236, 254, 293, 360, 361, 362, 429, 448, 475, 502, 509, 515, 516, 524, 582, 587, 594, 595, 638, 671, 676, 718, 734, 743, 840, 841, 842, 845, 940, 972, 979, 985, 986, 994, 1030, 1049], "some": [13, 26, 30, 31, 93, 101, 102, 112, 142, 254, 659, 734, 867, 1049, 1057], "dataset": [13, 101, 102, 112, 117, 172, 254, 396, 638, 649, 675, 680, 734, 880, 1049], "esp": 13, "when": [13, 15, 17, 21, 31, 35, 38, 48, 57, 58, 75, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 101, 102, 106, 110, 112, 113, 114, 115, 124, 126, 133, 134, 143, 144, 146, 148, 152, 158, 159, 172, 186, 195, 197, 200, 207, 215, 217, 221, 223, 254, 298, 299, 300, 344, 352, 360, 361, 362, 368, 429, 437, 439, 448, 466, 480, 504, 505, 521, 527, 533, 534, 572, 582, 587, 594, 638, 652, 665, 670, 671, 675, 680, 695, 701, 706, 707, 734, 743, 774, 775, 776, 824, 832, 839, 840, 841, 842, 845, 848, 919, 945, 960, 961, 991, 997, 1003, 1004, 1026, 1049], "have": [13, 26, 31, 38, 67, 75, 91, 101, 102, 103, 105, 124, 126, 146, 159, 170, 190, 196, 197, 214, 254, 309, 360, 361, 362, 448, 470, 473, 534, 536, 587, 638, 671, 684, 699, 714, 734, 737, 743, 784, 840, 841, 842, 845, 853, 936, 938, 1004, 1006, 1049, 1057], "larg": [13, 67, 158, 159, 173, 227, 254, 341, 345, 352, 482, 483, 484, 485, 486, 488, 489, 490, 638, 670, 671, 676, 734, 821, 825, 832], "element": [13, 23, 123, 126, 134, 169, 187, 195, 208, 221, 228, 254, 268, 270, 271, 272, 273, 274, 275, 291, 296, 301, 302, 304, 305, 306, 307, 308, 309, 364, 365, 378, 387, 407, 409, 410, 411, 415, 430, 433, 434, 464, 465, 473, 476, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 493, 499, 500, 501, 506, 507, 530, 531, 537, 551, 552, 554, 560, 579, 616, 617, 620, 628, 638, 652, 701, 702, 706, 710, 734, 744, 745, 746, 747, 748, 749, 750, 765, 770, 773, 778, 779, 780, 781, 782, 783, 784, 843, 844, 849, 855, 867, 879, 882, 890, 892, 893, 894, 898, 913, 916, 917, 932, 938, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 958, 969, 970, 971, 975, 976, 1000, 1001, 1007, 1019, 1022, 1023, 1028, 1033, 1034, 1038, 1049], "too": [13, 158, 159, 173, 227, 254, 341, 345, 352, 480, 482, 483, 484, 485, 486, 488, 489, 490, 638, 670, 671, 676, 734, 821, 825, 832], "optimist": 13, "lead": [13, 97, 117, 158, 159, 254, 268, 437, 494, 521, 533, 542, 549, 559, 579, 638, 670, 671, 680, 718, 734, 744, 962, 991, 1003, 1012, 1049], "out": [13, 47, 48, 97, 118, 159, 197, 254, 287, 413, 428, 509, 511, 629, 671, 734, 761, 896, 911, 979, 981], "memori": [13, 48, 74, 90, 91, 94, 95, 96, 101, 102, 106, 110, 112, 114, 115, 116, 132, 133, 146, 197, 205, 236, 254, 464, 474, 497, 638, 734, 743, 744, 845, 939, 966, 967, 1049], "error": [13, 30, 76, 101, 102, 112, 158, 159, 173, 187, 195, 227, 254, 263, 287, 293, 341, 345, 352, 395, 416, 428, 482, 483, 484, 485, 486, 488, 489, 490, 509, 511, 515, 517, 518, 534, 535, 536, 539, 638, 670, 671, 676, 718, 734, 761, 766, 821, 825, 832, 899, 911, 979, 981, 985, 987, 988, 1004, 1005, 1006, 1009, 1049], "row": [13, 18, 23, 28, 31, 33, 35, 48, 67, 68, 70, 74, 82, 84, 89, 93, 94, 96, 97, 101, 102, 105, 106, 110, 112, 114, 115, 116, 119, 122, 124, 133, 134, 135, 142, 146, 149, 152, 156, 157, 158, 160, 161, 166, 168, 169, 170, 171, 173, 174, 175, 179, 183, 197, 198, 206, 210, 211, 214, 216, 221, 223, 225, 226, 232, 236, 239, 248, 254, 268, 279, 365, 379, 400, 411, 429, 464, 465, 477, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 503, 505, 514, 517, 548, 569, 572, 582, 583, 594, 598, 600, 601, 614, 616, 617, 624, 629, 638, 652, 654, 656, 659, 663, 666, 667, 670, 672, 676, 677, 679, 680, 684, 700, 704, 705, 706, 707, 709, 714, 718, 721, 730, 734, 743, 844, 845, 855, 879, 894, 932, 942, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 973, 984, 987, 1019, 1049, 1057], "per": [13, 28, 31, 122, 124, 134, 156, 183, 184, 207, 221, 243, 245, 246, 254, 268, 410, 413, 428, 505, 572, 638, 652, 701, 706, 725, 727, 728, 734, 893, 896, 911], "everi": [13, 101, 102, 112, 158, 211, 214, 227, 254, 304, 305, 306, 307, 308, 309, 345, 352, 365, 403, 404, 408, 409, 411, 413, 414, 424, 427, 514, 550, 582, 583, 638, 663, 670, 705, 734, 780, 781, 782, 783, 784, 825, 832, 844, 886, 887, 891, 892, 894, 896, 897, 907, 910, 984, 1021, 1049], "process": [13, 28, 47, 48, 128, 254, 734], "liter": [14, 18, 30, 52, 105, 124, 125, 126, 127, 156, 170, 176, 177, 181, 182, 185, 195, 196, 200, 209, 213, 226, 231, 254, 263, 286, 318, 358, 359, 366, 373, 376, 377, 383, 398, 436, 454, 456, 460, 461, 467, 509, 524, 525, 545, 555, 563, 564, 565, 566, 569, 573, 575, 577, 578, 584, 585, 586, 587, 588, 589, 600, 601, 603, 605, 606, 609, 610, 612, 615, 618, 621, 622, 623, 625, 626, 627, 630, 638, 665, 695, 709, 712, 734, 737, 760, 794, 846, 860, 960, 961, 979, 994, 995, 1049, 1056], "left": [14, 31, 54, 67, 119, 120, 158, 159, 172, 173, 226, 254, 360, 361, 362, 382, 383, 482, 483, 484, 485, 486, 488, 489, 490, 493, 520, 542, 553, 575, 582, 583, 587, 588, 594, 614, 626, 627, 629, 638, 670, 671, 675, 676, 709, 734, 840, 841, 842, 860, 958, 990, 1012, 1032, 1049], "center": [14, 31, 254, 360, 361, 362, 481, 482, 483, 484, 485, 486, 488, 489, 490, 638, 840, 841, 842, 946, 947, 948, 949, 950, 951, 953, 954, 955, 1049], "right": [14, 16, 31, 101, 102, 119, 120, 158, 159, 172, 173, 254, 310, 360, 361, 362, 383, 409, 415, 430, 470, 482, 483, 484, 485, 486, 488, 489, 490, 493, 502, 526, 575, 587, 588, 626, 627, 638, 670, 671, 675, 676, 734, 785, 840, 841, 842, 860, 892, 898, 913, 936, 958, 972, 996, 1049], "cell": [14, 31, 254], "align": [14, 31, 67, 74, 254, 542, 1012], "keyerror": [14, 18], "recognis": [14, 18, 121], "column_abc": 14, "column_xyz": 14, "visibl": [15, 144, 254, 839, 1049], "eg": [15, 23, 31, 103, 254, 345, 534, 536, 555, 638, 1004, 1006], "low": [15, 128], "rang": [15, 31, 103, 139, 144, 158, 171, 254, 310, 311, 322, 336, 342, 343, 345, 352, 353, 382, 470, 569, 577, 586, 587, 588, 589, 600, 601, 625, 626, 627, 638, 670, 734, 785, 786, 798, 816, 822, 823, 825, 832, 833, 839, 932, 936, 1049], "100": [15, 31, 93, 96, 101, 102, 112, 115, 254, 517, 537, 542, 734, 947, 948, 950, 987, 1007, 1049, 1057], "98": [15, 164, 254, 291, 504, 537, 549, 554, 638, 1007], "99": [15, 31, 147, 148, 164, 167, 254, 262, 291, 366, 368, 504, 549, 554, 638, 664, 665, 734, 838, 846, 1049], "tbl_col": 15, "10": [15, 27, 28, 30, 31, 32, 35, 48, 52, 67, 74, 97, 103, 112, 124, 126, 136, 146, 155, 158, 159, 161, 163, 164, 165, 182, 186, 188, 192, 193, 200, 210, 231, 234, 237, 238, 240, 241, 242, 243, 244, 245, 246, 247, 254, 263, 267, 276, 277, 278, 280, 298, 303, 305, 308, 310, 312, 314, 315, 316, 318, 324, 337, 338, 344, 345, 352, 355, 378, 379, 382, 387, 395, 399, 400, 408, 414, 423, 424, 427, 433, 465, 466, 470, 503, 542, 548, 562, 575, 582, 587, 591, 594, 596, 598, 603, 604, 624, 627, 638, 656, 670, 671, 672, 674, 679, 688, 689, 695, 703, 704, 712, 716, 719, 720, 722, 723, 724, 725, 726, 727, 728, 729, 734, 737, 744, 774, 785, 787, 792, 794, 800, 824, 832, 835, 838, 855, 867, 882, 891, 897, 906, 907, 910, 916, 932, 960, 961, 1019, 1049, 1057], "95": [15, 262, 638], "96": [15, 262, 638], "97": [15, 164, 254, 262, 638], "move": [16, 197, 254, 360, 361, 362, 482, 483, 485, 489, 638, 840, 841, 842, 947, 948, 950, 954, 1049], "inlin": [16, 197, 254, 509, 515, 516, 524, 979, 985, 986, 994], "parenthes": 16, "below": [17, 31, 104, 113, 142, 254, 368, 587, 588, 629, 638, 659, 734], "ascii_ful": 18, "ascii_full_condens": 18, "ascii_no_bord": 18, "ascii_borders_onli": 18, "ascii_borders_only_condens": 18, "ascii_horizontal_onli": 18, "ascii_markdown": 18, "utf8_ful": [18, 67, 97], "utf8_full_condens": [18, 97], "utf8_no_bord": 18, "utf8_borders_onli": 18, "utf8_horizontal_onli": 18, "noth": [18, 292, 510, 515, 518, 638, 980, 985, 988], "rounded_corn": 18, "style": [18, 31, 187, 254], "border": 18, "line": [18, 31, 101, 102, 105, 112, 156, 166, 168, 254, 515, 985], "includ": [18, 26, 28, 30, 31, 72, 104, 113, 124, 134, 139, 144, 158, 185, 197, 221, 222, 225, 254, 310, 346, 383, 470, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 527, 529, 530, 533, 582, 616, 617, 638, 652, 670, 706, 734, 785, 786, 826, 839, 860, 936, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 999, 1000, 1003, 1039, 1049], "divid": [18, 345, 352, 360, 361, 362, 396, 638, 825, 832, 840, 841, 842, 880, 1049], "dens": [18, 156, 254, 473, 638, 938, 1049], "space": [18, 158, 254, 470, 638, 670, 734, 936, 1049], "horizont": [18, 74, 152, 163, 225, 254, 563, 564, 565, 566, 577, 578, 582, 583, 584, 585, 591, 594, 605, 606, 609, 610, 614, 622, 623], "markdown": 18, "compat": [18, 31, 35, 48, 254, 509, 510, 515, 516, 524, 525, 734, 737, 979, 980, 985, 986, 994, 995], "No": [18, 540, 1010], "appli": [18, 28, 31, 52, 74, 112, 121, 124, 126, 152, 186, 254, 320, 321, 322, 326, 328, 329, 330, 332, 334, 336, 339, 342, 343, 346, 349, 353, 354, 356, 361, 362, 437, 466, 481, 482, 483, 485, 489, 524, 534, 535, 536, 539, 562, 582, 583, 594, 604, 614, 638, 672, 679, 680, 688, 734, 796, 797, 798, 802, 804, 805, 809, 811, 814, 816, 819, 822, 823, 826, 829, 833, 834, 836, 841, 842, 946, 947, 948, 950, 954, 994, 1004, 1005, 1006, 1009, 1049], "round": [18, 31, 69, 97, 254, 297, 372, 551, 638, 771, 851, 1049], "corner": [18, 31, 97, 254], "op": [18, 126, 254, 292, 476, 534, 536, 638, 734, 1004, 1006, 1049], "one": [18, 29, 31, 57, 67, 82, 90, 92, 93, 94, 95, 96, 108, 109, 125, 126, 127, 130, 148, 149, 156, 157, 158, 159, 170, 179, 187, 195, 196, 201, 217, 220, 235, 254, 262, 368, 429, 434, 481, 504, 516, 549, 587, 619, 622, 629, 638, 665, 666, 669, 670, 671, 684, 696, 713, 717, 734, 743, 848, 876, 912, 917, 946, 986, 1013, 1049], "more": [18, 31, 33, 35, 48, 57, 67, 74, 89, 90, 91, 92, 93, 94, 95, 96, 103, 104, 108, 109, 110, 113, 124, 126, 130, 133, 138, 139, 170, 174, 179, 183, 195, 196, 198, 217, 223, 236, 254, 265, 268, 284, 298, 299, 300, 396, 431, 434, 437, 463, 492, 502, 516, 534, 535, 536, 556, 619, 622, 629, 638, 684, 707, 734, 737, 744, 759, 774, 775, 776, 786, 876, 880, 914, 957, 972, 986, 1004, 1005, 1006, 1034, 1049, 1057], "semigraph": 18, "box": [18, 133, 254], "draw": [18, 23, 24, 123, 492, 498, 638, 1057], "found": [18, 28, 54, 77, 86, 88, 93, 97, 143, 226, 254, 493, 518, 534, 536, 638, 709, 734, 958, 988, 1004, 1006, 1049, 1056], "unicod": 18, "block": [18, 157, 223, 254, 669, 692, 707, 714, 718, 734, 960, 961, 1049], "http": [18, 31, 91, 103, 132, 138, 254, 515, 985], "en": [18, 31, 254], "wikipedia": 18, "org": [18, 91, 103, 132, 138, 254], "wiki": 18, "drawing_charact": 18, "box_draw": 18, "mno": 18, "tbl_format": 18, "tbl_hide_column_data_typ": 18, "tbl_hide_dataframe_shap": 18, "hide": [19, 20, 21, 22, 31, 254], "etc": [19, 30, 31, 101, 104, 106, 110, 113, 114, 116, 254, 737, 960, 961, 1049], "inform": [21, 72, 104, 113, 138, 254, 298, 299, 300, 396, 502, 509, 515, 516, 524, 587, 588, 638, 689, 734, 774, 775, 776, 880, 972, 979, 985, 986, 994, 1049], "separ": [22, 28, 99, 101, 102, 112, 185, 187, 215, 222, 224, 254, 268, 411, 416, 514, 578, 582, 583, 638, 708, 734, 894, 899, 984, 1017, 1026, 1049], "between": [22, 74, 121, 122, 124, 126, 138, 189, 246, 254, 293, 313, 383, 409, 415, 416, 430, 465, 470, 471, 486, 492, 498, 508, 570, 571, 579, 581, 613, 616, 617, 638, 690, 728, 734, 766, 788, 860, 892, 898, 899, 913, 932, 936, 937, 951, 978, 1049], "set_tbl_column_data_type_inlin": 22, "max": [23, 31, 35, 48, 52, 128, 139, 148, 157, 158, 159, 187, 254, 298, 299, 305, 368, 429, 464, 473, 482, 494, 531, 606, 619, 638, 665, 669, 670, 671, 734, 774, 775, 780, 786, 848, 912, 938, 947, 962, 1001, 1049], "both": [23, 28, 58, 158, 159, 172, 173, 180, 195, 254, 267, 383, 482, 483, 484, 485, 486, 488, 489, 490, 587, 588, 626, 627, 638, 648, 670, 671, 675, 676, 685, 734, 860, 869, 1049], "tbl_row": 23, "char": [24, 58, 75, 516, 522, 986, 992], "enabl": [25, 75, 129, 200, 231, 254, 494, 638, 695, 712, 734, 962, 1049], "addit": [25, 30, 31, 93, 104, 113, 122, 140, 145, 157, 185, 200, 201, 207, 224, 231, 234, 254, 261, 324, 363, 366, 464, 505, 509, 515, 516, 524, 563, 565, 572, 575, 576, 577, 578, 584, 592, 605, 609, 618, 621, 622, 638, 658, 662, 669, 695, 696, 701, 708, 712, 716, 734, 792, 800, 846, 979, 985, 986, 994, 1049], "verbos": [25, 130, 516, 986], "debug": [25, 656, 663, 680, 734, 1057], "log": [25, 69, 291, 357, 434, 456, 467, 554, 638, 765, 838, 1033, 1049], "if_set": 26, "env_onli": 26, "dict": [26, 30, 31, 35, 55, 68, 70, 72, 90, 92, 93, 94, 95, 96, 101, 102, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 116, 124, 151, 170, 185, 191, 195, 196, 197, 199, 213, 214, 222, 254, 264, 266, 310, 439, 470, 480, 638, 692, 694, 734, 919, 1049], "show": [26, 31, 56, 142, 156, 174, 184, 254, 659, 689, 699, 734], "variabl": [26, 49, 54, 125, 128, 179, 215, 254, 684, 734, 1026, 1049, 1056], "restrict": [26, 531, 587, 588, 1001], "dictionari": [26, 31, 90, 92, 93, 94, 96, 101, 102, 107, 108, 109, 111, 112, 170, 185, 195, 196, 197, 213, 214, 254, 439, 638, 734, 919, 1049], "those": [26, 31, 101, 197, 254, 473, 515, 638, 737, 938, 985, 1049], "been": [26, 31, 254, 473, 482, 483, 484, 485, 486, 488, 489, 490, 569, 638, 938, 1049], "set_fmt_float": 26, "directli": [26, 54, 124, 126, 130, 197, 254, 360, 361, 362, 615, 638, 734, 840, 841, 842, 1049, 1057], "via": [26, 101, 102, 105, 112, 114, 115, 116, 170, 196, 254, 268, 638], "set_stat": 26, "all_stat": 26, "binaryio": [27, 32, 100, 101, 105, 106, 107, 110, 111, 254], "bytesio": [27, 28, 31, 32, 35, 100, 101, 102, 105, 106, 110, 254], "compress": [27, 32, 35, 47, 48, 254, 734], "avrocompress": [27, 254], "uncompress": [27, 32, 35, 48, 106, 114, 254, 734], "write": [27, 28, 29, 30, 31, 32, 33, 35, 48, 102, 106, 130, 254, 298, 299, 300, 452, 638, 678, 699, 715, 734, 774, 775, 776, 1049], "apach": [27, 35, 100, 103, 254], "avro": [27, 100, 254, 649], "should": [27, 28, 29, 31, 32, 33, 34, 35, 47, 48, 74, 90, 92, 94, 96, 104, 108, 109, 112, 121, 122, 126, 132, 133, 134, 140, 158, 159, 170, 173, 195, 196, 197, 214, 215, 221, 224, 227, 236, 254, 262, 268, 295, 309, 310, 341, 345, 352, 355, 363, 389, 391, 410, 470, 481, 482, 483, 484, 485, 486, 488, 489, 490, 493, 502, 576, 592, 599, 603, 616, 617, 629, 638, 652, 658, 670, 671, 675, 676, 680, 699, 701, 706, 708, 715, 734, 737, 744, 769, 784, 785, 821, 825, 832, 835, 893, 936, 946, 947, 948, 949, 950, 951, 953, 954, 955, 958, 972, 1049], "snappi": [27, 35, 48, 254, 734], "deflat": [27, 254], "import": [27, 28, 31, 32, 35, 38, 67, 90, 94, 95, 112, 117, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 139, 156, 158, 171, 173, 217, 218, 225, 227, 254, 311, 316, 317, 318, 319, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 333, 334, 335, 336, 337, 338, 340, 341, 342, 343, 344, 345, 346, 347, 348, 350, 351, 352, 353, 354, 355, 356, 482, 483, 485, 488, 489, 490, 570, 571, 587, 588, 590, 626, 627, 638, 649, 670, 676, 680, 734, 778, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 864, 868, 870, 871, 876, 946, 970, 1022, 1049, 1057], "pathlib": [27, 28, 32, 35, 112, 254], "foo": [27, 28, 30, 32, 33, 34, 35, 56, 133, 137, 138, 140, 141, 142, 143, 146, 149, 150, 152, 153, 154, 155, 160, 161, 162, 163, 164, 165, 167, 172, 176, 177, 178, 181, 184, 187, 189, 191, 192, 193, 195, 198, 199, 200, 202, 203, 204, 206, 208, 209, 210, 212, 214, 215, 216, 217, 218, 219, 222, 223, 224, 228, 229, 230, 233, 254, 294, 298, 299, 300, 341, 379, 381, 400, 406, 412, 413, 417, 418, 477, 495, 496, 508, 510, 512, 514, 516, 521, 527, 529, 531, 533, 538, 541, 548, 550, 568, 574, 576, 579, 580, 581, 593, 597, 598, 602, 605, 607, 608, 609, 611, 613, 618, 620, 624, 628, 629, 638, 657, 658, 659, 660, 666, 673, 674, 675, 687, 692, 694, 695, 707, 708, 711, 713, 715, 734, 737, 768, 774, 821, 899, 942, 980, 982, 984, 986, 1001, 1008, 1011, 1049], "bar": [27, 28, 30, 32, 33, 34, 35, 56, 133, 137, 138, 140, 141, 142, 143, 146, 149, 150, 152, 153, 154, 155, 161, 163, 164, 165, 167, 172, 176, 177, 178, 181, 184, 187, 189, 191, 192, 193, 195, 198, 199, 200, 203, 204, 206, 208, 209, 210, 212, 214, 215, 216, 217, 218, 219, 223, 224, 228, 229, 233, 254, 294, 381, 418, 502, 512, 514, 529, 531, 568, 574, 576, 579, 580, 581, 593, 598, 602, 605, 607, 608, 609, 611, 618, 620, 624, 628, 629, 638, 657, 658, 659, 660, 666, 673, 674, 675, 687, 692, 694, 695, 707, 708, 711, 715, 734, 737, 768, 899, 972, 982, 984, 1001, 1049], "ham": [27, 28, 30, 32, 35, 137, 138, 140, 141, 142, 143, 149, 150, 153, 160, 161, 163, 172, 176, 177, 178, 181, 184, 189, 191, 193, 195, 198, 199, 200, 203, 204, 206, 208, 209, 210, 215, 216, 217, 218, 219, 223, 228, 229, 254, 294, 576, 657, 658, 659, 660, 666, 675, 687, 692, 694, 695, 707, 713, 734, 768], "d": [27, 28, 30, 31, 32, 35, 58, 75, 93, 117, 139, 156, 158, 160, 161, 164, 172, 210, 212, 225, 229, 237, 238, 240, 241, 242, 243, 244, 245, 246, 247, 254, 261, 263, 325, 348, 351, 383, 466, 497, 510, 516, 530, 534, 535, 536, 575, 596, 638, 670, 675, 719, 720, 722, 723, 724, 725, 726, 727, 728, 729, 734, 801, 828, 831, 860, 980, 986, 1000, 1004, 1005, 1006, 1049], "e": [27, 28, 30, 32, 35, 58, 75, 91, 101, 102, 105, 106, 110, 114, 116, 139, 156, 158, 159, 161, 173, 210, 212, 217, 225, 227, 254, 261, 268, 341, 345, 352, 357, 363, 383, 432, 439, 482, 483, 484, 485, 486, 488, 489, 490, 497, 502, 592, 629, 638, 670, 671, 676, 678, 692, 734, 737, 821, 825, 832, 838, 860, 959, 972, 1030, 1049], "dirpath": [27, 28, 32, 35, 112, 254], "new_fil": [27, 28, 32, 35, 254], "has_head": [28, 31, 101, 102, 105, 112, 254], "quot": [28, 29, 101, 102, 112, 254], "batch_siz": [28, 101, 102, 115, 254], "1024": [28, 48, 101, 102, 115, 254, 734], "datetime_format": [28, 254], "date_format": [28, 254], "time_format": [28, 254], "float_precis": [28, 31, 254], "null_valu": [28, 101, 102, 112, 254], "textiowrapp": [28, 254], "comma": [28, 254], "csv": [28, 47, 48, 101, 102, 105, 112, 254, 649, 734], "result": [28, 33, 34, 47, 48, 67, 74, 94, 96, 103, 104, 112, 114, 116, 117, 126, 146, 158, 159, 172, 183, 197, 204, 218, 227, 234, 254, 268, 310, 348, 351, 360, 361, 362, 366, 396, 429, 437, 464, 470, 477, 481, 482, 483, 484, 485, 486, 488, 489, 490, 494, 496, 529, 530, 536, 555, 569, 582, 583, 587, 588, 604, 612, 615, 616, 617, 630, 638, 653, 670, 671, 675, 680, 689, 698, 715, 716, 734, 743, 744, 828, 831, 840, 841, 842, 845, 880, 936, 942, 946, 947, 948, 949, 950, 951, 953, 954, 955, 962, 965, 999, 1000, 1006, 1030, 1049, 1056, 1057], "If": [28, 29, 30, 31, 32, 33, 34, 48, 52, 58, 72, 74, 90, 91, 92, 93, 94, 95, 96, 101, 102, 104, 105, 106, 108, 109, 110, 112, 113, 114, 115, 116, 125, 132, 133, 134, 142, 146, 156, 158, 159, 161, 169, 170, 173, 175, 179, 183, 196, 197, 198, 206, 210, 214, 215, 217, 221, 222, 223, 225, 226, 254, 264, 266, 268, 298, 299, 300, 310, 318, 337, 338, 352, 369, 396, 424, 429, 437, 439, 450, 464, 470, 473, 475, 477, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 492, 493, 498, 502, 503, 517, 519, 521, 522, 527, 528, 529, 530, 531, 533, 534, 535, 536, 539, 563, 565, 567, 569, 573, 579, 580, 582, 584, 587, 588, 594, 600, 601, 603, 605, 609, 612, 615, 616, 617, 621, 622, 626, 627, 629, 630, 638, 652, 659, 661, 670, 671, 675, 676, 680, 684, 692, 700, 706, 707, 709, 715, 718, 734, 737, 743, 744, 774, 775, 776, 785, 794, 817, 818, 832, 845, 853, 855, 856, 879, 880, 882, 907, 912, 936, 938, 940, 942, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 957, 958, 962, 968, 972, 973, 987, 989, 991, 992, 997, 998, 999, 1000, 1001, 1003, 1004, 1005, 1006, 1009, 1019, 1025, 1030, 1039, 1049, 1056], "instead": [28, 33, 34, 52, 56, 67, 74, 101, 110, 124, 133, 158, 159, 170, 173, 183, 185, 195, 196, 197, 200, 218, 227, 231, 254, 278, 310, 341, 345, 352, 470, 482, 483, 484, 485, 486, 488, 489, 490, 519, 521, 527, 533, 563, 565, 569, 573, 584, 587, 588, 600, 601, 605, 609, 612, 615, 621, 622, 626, 627, 630, 638, 664, 670, 671, 676, 695, 712, 715, 734, 737, 753, 785, 821, 825, 832, 936, 960, 961, 989, 991, 997, 1003, 1031, 1049, 1056], "whether": [28, 94, 96, 126, 134, 201, 221, 254, 310, 328, 346, 401, 402, 444, 445, 470, 494, 638, 652, 680, 696, 701, 706, 734, 737, 785, 804, 826, 884, 885, 936, 1049, 1056], "header": [28, 31, 35, 48, 97, 101, 102, 105, 112, 143, 187, 222, 254, 734], "field": [28, 59, 86, 88, 93, 217, 224, 254, 429, 439, 479, 516, 517, 530, 531, 544, 582, 583, 604, 621, 638, 708, 734, 785, 912, 936, 944, 998, 1000, 1001, 1015, 1017, 1049], "symbol": [28, 254], "byte": [28, 48, 101, 102, 105, 106, 107, 108, 109, 110, 111, 112, 144, 254, 286, 289, 290, 519, 522, 734, 760, 763, 764, 839, 989, 992, 1049], "specifi": [28, 31, 67, 77, 86, 88, 105, 124, 134, 140, 144, 145, 148, 157, 158, 159, 172, 185, 195, 197, 200, 201, 207, 221, 224, 231, 234, 254, 360, 361, 362, 363, 368, 439, 464, 476, 482, 483, 484, 485, 486, 488, 489, 490, 505, 520, 526, 563, 565, 572, 575, 576, 577, 578, 584, 587, 588, 592, 605, 609, 618, 621, 622, 626, 627, 638, 652, 658, 662, 665, 669, 670, 671, 675, 695, 696, 701, 706, 708, 712, 716, 734, 839, 840, 841, 842, 848, 990, 996, 1049], "defin": [28, 31, 38, 121, 122, 124, 133, 158, 159, 183, 186, 236, 254, 268, 383, 428, 466, 480, 482, 483, 484, 485, 486, 488, 489, 490, 567, 587, 588, 603, 621, 626, 627, 638, 670, 671, 688, 718, 734, 737, 744, 860, 911, 945, 1049], "chrono": [28, 254, 348, 351, 534, 535, 536, 539, 828, 831, 1004, 1005, 1006, 1009], "rust": [28, 35, 83, 106, 110, 133, 236, 254, 744, 1049], "crate": [28, 254, 509, 510, 515, 516, 524, 525, 534, 535, 536, 539, 737, 979, 980, 985, 986, 994, 995, 1004, 1005, 1006, 1009], "fraction": [28, 119, 120, 198, 254, 346, 465, 492, 534, 536, 638, 826, 932, 957, 1004, 1006, 1049], "second": [28, 123, 158, 159, 173, 227, 254, 341, 345, 352, 482, 483, 484, 485, 486, 488, 489, 490, 534, 536, 589, 590, 625, 629, 638, 670, 671, 676, 734, 737, 821, 825, 832, 1004, 1006, 1057], "precis": [28, 31, 38, 39, 170, 196, 197, 214, 254, 317, 537, 737, 793, 1007], "infer": [28, 90, 92, 93, 94, 95, 96, 101, 102, 105, 108, 109, 112, 115, 133, 254, 477, 517, 534, 535, 536, 537, 539, 615, 638, 734, 942, 987, 1004, 1005, 1006, 1007, 1009, 1049], "maximum": [28, 101, 102, 112, 122, 123, 124, 126, 176, 254, 403, 440, 458, 473, 605, 606, 638, 681, 734, 774, 806, 886, 920, 928, 933, 938, 1049], "timeunit": [28, 38, 40, 254, 317, 318, 350, 355, 536, 587, 588, 737, 793, 794, 830, 835, 1006], "frame": [28, 29, 31, 52, 53, 54, 55, 56, 57, 67, 74, 93, 119, 124, 133, 135, 170, 171, 180, 183, 186, 195, 196, 197, 218, 225, 254, 654, 685, 688, 734, 737, 773, 1049, 1056, 1057], "datetim": [28, 31, 67, 97, 124, 139, 156, 158, 159, 171, 173, 227, 254, 316, 317, 318, 319, 320, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 406, 482, 483, 484, 485, 486, 488, 489, 490, 534, 536, 553, 587, 588, 590, 596, 603, 626, 627, 638, 670, 671, 676, 734, 737, 791, 792, 793, 794, 795, 796, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 876, 889, 890, 928, 929, 961, 1004, 1006, 1032, 1049], "place": [28, 134, 141, 146, 163, 164, 187, 192, 197, 203, 204, 207, 221, 229, 254, 278, 416, 423, 495, 496, 504, 638, 652, 697, 698, 701, 706, 734, 743, 753, 845, 899, 906, 939, 941, 964, 965, 974, 1049], "float64": [28, 31, 93, 101, 124, 143, 144, 152, 199, 218, 231, 254, 270, 271, 272, 273, 274, 275, 293, 301, 302, 311, 346, 363, 389, 391, 472, 500, 501, 551, 552, 576, 592, 612, 615, 630, 638, 660, 694, 712, 734, 737, 826, 1031, 1036, 1049], "repres": [28, 50, 65, 90, 92, 94, 95, 96, 208, 228, 233, 254, 389, 391, 507, 560, 563, 576, 579, 592, 603, 616, 617, 620, 628, 638, 702, 710, 734, 961, 976, 1038, 1049], "empti": [28, 81, 93, 101, 102, 105, 112, 135, 136, 158, 167, 179, 254, 603, 618, 654, 655, 670, 684, 734, 737, 773, 777, 863, 1049], "table_nam": [29, 31, 254], "connection_uri": [29, 103, 254], "if_exist": [29, 254], "dbwritemod": [29, 254], "fail": [29, 30, 91, 104, 106, 109, 113, 132, 223, 254, 279, 349, 429, 534, 535, 536, 539, 638, 707, 734, 744, 1004, 1005, 1006, 1009, 1049], "dbwriteengin": [29, 254], "sqlalchemi": [29, 254], "databas": [29, 103, 254, 649], "creat": [29, 31, 90, 94, 96, 113, 122, 123, 124, 125, 126, 127, 135, 136, 158, 159, 184, 187, 227, 231, 254, 318, 345, 352, 429, 474, 482, 483, 485, 488, 489, 490, 528, 559, 577, 586, 587, 588, 589, 590, 625, 626, 627, 638, 654, 655, 661, 670, 671, 712, 734, 773, 777, 790, 794, 825, 832, 930, 939, 998, 1030, 1049, 1056, 1057], "append": [29, 30, 124, 146, 172, 173, 254, 310, 470, 474, 587, 588, 629, 638, 675, 676, 734, 845, 1049], "your": [29, 31, 67, 101, 102, 119, 120, 133, 170, 196, 197, 200, 214, 231, 234, 236, 254, 268, 534, 535, 536, 567, 638, 656, 672, 679, 680, 695, 712, 716, 718, 734, 744, 1004, 1005, 1006, 1049, 1057], "special": [29, 101, 102, 112, 254, 516, 744, 986, 1049], "connect": [29, 101, 103, 106, 110, 114, 116, 117, 254, 650], "uri": [29, 30, 103, 104, 113, 254], "postgresql": [29, 103, 254, 464, 638], "user": [29, 103, 133, 186, 236, 254, 268, 437, 466, 494, 567, 587, 638, 688, 718, 734, 744, 962, 1049], "pass": [29, 31, 35, 55, 67, 92, 103, 105, 112, 122, 124, 126, 134, 138, 140, 157, 158, 159, 161, 175, 185, 186, 200, 207, 210, 221, 227, 231, 234, 254, 268, 325, 344, 366, 381, 464, 466, 482, 483, 484, 485, 486, 488, 489, 490, 505, 521, 527, 533, 563, 565, 572, 576, 584, 587, 596, 605, 609, 621, 622, 638, 652, 658, 669, 670, 671, 673, 680, 688, 695, 699, 701, 706, 712, 716, 718, 734, 744, 801, 824, 846, 855, 882, 991, 997, 1003, 1019, 1049], "server": [29, 103, 254], "port": [29, 101, 103, 106, 110, 114, 116, 254], "sqlite": [29, 254], "db": [29, 103, 254], "replac": [29, 30, 101, 102, 112, 147, 148, 193, 222, 231, 254, 318, 344, 439, 525, 569, 638, 664, 712, 734, 794, 824, 919, 960, 961, 995, 1049], "insert": [29, 101, 102, 106, 110, 112, 114, 115, 116, 164, 192, 222, 224, 254, 493, 508, 542, 638, 708, 734, 958, 978, 1012, 1049], "mode": [29, 30, 52, 254, 516, 612, 615, 630, 638, 734, 986, 1049, 1056], "new": [29, 30, 31, 112, 130, 133, 142, 163, 164, 183, 184, 191, 192, 211, 222, 224, 225, 231, 254, 263, 318, 365, 382, 438, 524, 525, 530, 531, 543, 544, 550, 569, 638, 649, 659, 692, 705, 708, 712, 718, 734, 740, 790, 794, 844, 930, 941, 994, 995, 1000, 1001, 1013, 1015, 1021, 1027, 1049, 1056], "alreadi": [29, 30, 254, 309, 410, 638, 784, 893, 1049], "adbc": [29, 103, 254], "deltalak": [30, 104, 113, 118, 254], "deltat": [30, 254], "ignor": [30, 123, 124, 126, 177, 209, 254, 312, 344, 360, 361, 362, 408, 458, 459, 638, 787, 824, 840, 841, 842, 891, 928, 929, 1049], "overwrite_schema": [30, 254], "storage_opt": [30, 101, 104, 106, 110, 113, 114, 116, 254], "delta_write_opt": [30, 254], "delta": [30, 40, 104, 113, 208, 228, 254, 488, 490, 507, 560, 579, 616, 617, 620, 628, 638, 649, 702, 710, 734, 953, 955, 976, 1038, 1049], "like": [30, 91, 100, 101, 102, 105, 106, 107, 108, 109, 110, 111, 112, 166, 168, 172, 217, 254, 316, 410, 451, 473, 515, 587, 588, 622, 626, 627, 638, 663, 691, 734, 743, 792, 893, 938, 985, 1049], "categor": [30, 58, 75, 172, 215, 216, 254, 294, 295, 439, 553, 638, 737, 767, 768, 769, 785, 936, 1032, 1049], "protocol": [30, 91, 103, 132, 254], "object": [30, 31, 32, 35, 57, 74, 91, 92, 97, 100, 101, 102, 104, 105, 106, 107, 108, 109, 110, 111, 113, 122, 124, 126, 132, 157, 158, 159, 174, 197, 217, 218, 254, 587, 588, 603, 626, 627, 649, 670, 671, 691, 734, 737, 767, 791, 883, 977, 1025, 1049], "handl": [30, 74, 97, 101, 102, 112, 117, 254, 312, 408, 542, 638, 787, 891, 1012, 1049], "throw": [30, 91, 254, 293, 517, 518, 638, 766, 987, 988, 1049], "add": [30, 31, 102, 133, 146, 158, 231, 232, 254, 468, 546, 590, 594, 629, 638, 670, 675, 712, 713, 714, 734, 743, 845, 1049], "anyth": [30, 195, 254, 292, 516, 638, 986], "updat": [30, 254, 734], "extra": [30, 35, 48, 101, 104, 105, 106, 110, 113, 114, 116, 146, 158, 254, 670, 734, 743, 845, 1049], "storag": [30, 101, 104, 106, 110, 113, 114, 116, 254], "backend": [30, 103, 104, 113, 254], "cloud": [30, 104, 113, 117, 254], "configur": [30, 104, 113, 254], "authent": [30, 104, 113, 254], "see": [30, 31, 38, 103, 104, 105, 113, 119, 120, 124, 126, 138, 172, 186, 254, 298, 299, 300, 368, 396, 437, 502, 509, 515, 516, 524, 587, 588, 614, 638, 737, 774, 775, 776, 880, 972, 979, 985, 986, 994, 1049, 1057], "here": [30, 31, 90, 92, 93, 94, 96, 103, 104, 108, 109, 113, 122, 124, 126, 254, 518, 734, 988], "gc": [30, 104, 113, 254], "azur": [30, 104, 113, 254], "keyword": [30, 55, 104, 110, 113, 138, 186, 195, 200, 231, 234, 254, 466, 618, 621, 638, 688, 695, 712, 716, 734, 1049], "argument": [30, 35, 101, 104, 110, 113, 138, 140, 145, 157, 158, 159, 177, 185, 186, 187, 200, 201, 207, 209, 218, 224, 227, 231, 234, 254, 345, 352, 363, 383, 464, 466, 482, 483, 484, 485, 486, 488, 489, 490, 505, 521, 527, 533, 563, 565, 570, 571, 572, 575, 576, 577, 578, 584, 587, 592, 605, 609, 615, 618, 621, 622, 626, 638, 658, 662, 669, 670, 671, 688, 695, 696, 701, 708, 712, 716, 734, 743, 825, 832, 860, 991, 997, 1003, 1031, 1049], "while": [30, 102, 104, 105, 113, 124, 126, 170, 179, 222, 254, 684, 734], "lake": [30, 104, 113, 254, 649], "instanti": [30, 31, 200, 231, 254, 695, 712, 734], "basic": [30, 31, 254, 1057], "filesystem": [30, 104, 113, 254], "table_path": [30, 104, 113, 254], "doe": [30, 67, 74, 84, 90, 92, 93, 94, 96, 97, 101, 102, 104, 105, 108, 109, 112, 113, 117, 119, 120, 146, 171, 172, 195, 196, 197, 223, 231, 254, 292, 355, 429, 439, 557, 587, 593, 602, 638, 663, 675, 680, 707, 712, 734, 743, 835, 845, 853, 919, 967, 1039, 1049], "match": [30, 31, 38, 74, 84, 90, 92, 93, 94, 96, 108, 109, 119, 120, 148, 173, 195, 254, 445, 487, 509, 510, 513, 515, 516, 517, 518, 524, 525, 532, 534, 535, 536, 576, 638, 665, 676, 734, 737, 869, 876, 952, 979, 980, 983, 985, 986, 987, 988, 994, 995, 1002, 1004, 1005, 1006, 1049], "version": [30, 72, 104, 113, 118, 254, 292, 337, 338, 534, 536, 569, 587, 614, 615, 626, 638, 743, 817, 818, 1004, 1006, 1049], "old": [30, 191, 254, 692, 734], "existing_table_path": [30, 254], "store": [30, 101, 110, 146, 170, 196, 254, 294, 743, 768, 845, 1049], "bucket": [30, 104, 113, 254, 345, 352, 825, 832, 856, 1049], "prefix": [30, 130, 254, 263, 290, 438, 532, 542, 546, 638, 737, 764, 1002, 1012], "aws_region": [30, 113, 254], "the_aws_region": [30, 254], "aws_access_key_id": [30, 104, 113, 254], "the_aws_access_key_id": [30, 104, 113, 254], "aws_secret_access_kei": [30, 104, 113, 254], "the_aws_secret_access_kei": [30, 104, 113, 254], "workbook": [31, 254], "worksheet": [31, 254], "posit": [31, 140, 145, 157, 185, 200, 201, 207, 224, 231, 234, 254, 360, 361, 362, 363, 464, 470, 505, 523, 563, 565, 570, 571, 572, 575, 576, 577, 578, 584, 592, 605, 609, 618, 621, 622, 638, 658, 662, 669, 695, 696, 701, 708, 712, 716, 734, 840, 841, 842, 936, 993, 1049], "tupl": [31, 103, 133, 170, 195, 196, 197, 202, 233, 254, 477, 638, 689, 699, 734, 737, 942, 1049], "a1": [31, 68, 70, 254], "table_styl": [31, 254], "column_format": [31, 254], "dtype_format": [31, 254], "oneormoredatatyp": [31, 122, 254, 876, 1049], "conditional_format": [31, 254], "conditionalformatdict": [31, 254], "column_tot": [31, 254], "columntotalsdefinit": [31, 254], "column_width": [31, 254], "row_tot": [31, 254], "rowtotalsdefinit": [31, 254], "row_height": [31, 254], "sparklin": [31, 254], "sequenc": [31, 59, 67, 73, 90, 92, 93, 94, 96, 101, 102, 108, 109, 112, 122, 123, 124, 134, 139, 145, 146, 172, 173, 179, 183, 186, 187, 197, 207, 215, 221, 223, 224, 225, 226, 227, 254, 387, 429, 437, 466, 505, 544, 567, 572, 582, 583, 594, 596, 604, 614, 619, 638, 652, 662, 675, 676, 688, 701, 706, 707, 708, 709, 734, 743, 786, 788, 845, 912, 961, 1015, 1049], "formula": [31, 254, 357, 638, 838, 1049], "autofilt": [31, 254], "autofit": [31, 254], "hidden_column": [31, 254], "hide_gridlin": [31, 254], "sheet_zoom": [31, 254], "freeze_pan": [31, 254], "excel": [31, 105, 254, 649], "open": [31, 101, 102, 105, 106, 110, 114, 116, 254], "xlsxwriter": [31, 118, 254], "ha": [31, 67, 112, 132, 158, 159, 227, 254, 268, 291, 309, 448, 482, 483, 484, 485, 486, 488, 489, 490, 554, 567, 569, 638, 670, 671, 718, 734, 765, 773, 784, 786, 853, 866, 1033, 1049], "close": [31, 158, 159, 254, 383, 434, 482, 483, 484, 485, 486, 488, 489, 490, 502, 587, 588, 626, 627, 638, 670, 671, 734, 860, 972, 1049], "xlsx": [31, 105, 254], "work": [31, 39, 102, 105, 192, 254, 268, 284, 297, 298, 299, 300, 363, 372, 410, 431, 464, 480, 522, 556, 638, 759, 771, 774, 775, 776, 851, 893, 914, 992, 1034, 1049], "directori": [31, 110, 254], "sheet1": [31, 254], "valid": [31, 38, 52, 106, 110, 126, 130, 144, 172, 254, 309, 509, 510, 515, 516, 518, 524, 525, 587, 588, 638, 675, 734, 737, 784, 839, 853, 979, 980, 985, 986, 988, 994, 995, 1049], "notat": [31, 254], "integ": [31, 43, 44, 45, 46, 61, 62, 63, 64, 122, 124, 125, 127, 158, 159, 254, 265, 297, 346, 372, 373, 463, 470, 475, 482, 483, 484, 485, 486, 487, 488, 489, 490, 523, 562, 569, 596, 600, 601, 615, 638, 670, 671, 734, 737, 771, 826, 851, 869, 936, 940, 952, 961, 993, 1049, 1056, 1057], "medium": [31, 254], "kei": [31, 67, 72, 74, 158, 170, 172, 173, 180, 185, 187, 191, 194, 196, 197, 254, 621, 670, 675, 676, 685, 692, 693, 734], "follow": [31, 72, 101, 102, 104, 112, 113, 133, 158, 159, 173, 186, 227, 254, 268, 341, 345, 352, 466, 473, 482, 483, 484, 485, 486, 487, 488, 489, 490, 544, 555, 567, 587, 629, 631, 632, 634, 638, 639, 640, 644, 645, 646, 670, 671, 676, 688, 734, 821, 825, 832, 938, 960, 961, 1041, 1043, 1045, 1049, 1050, 1053, 1054, 1055, 1057], "first_column": [31, 254], "last_column": [31, 254], "banded_column": [31, 254], "banded_row": [31, 254], "sheet": [31, 105, 254], "chart": [31, 254, 689, 734], "subsequ": [31, 57, 190, 218, 254, 429, 661, 734], "colnam": [31, 112, 124, 143, 254, 660, 734], "given": [31, 52, 53, 67, 90, 92, 93, 94, 96, 101, 102, 108, 109, 112, 121, 122, 124, 125, 126, 127, 133, 134, 144, 145, 147, 158, 159, 169, 185, 186, 195, 197, 203, 204, 207, 221, 226, 254, 268, 310, 316, 319, 348, 350, 351, 357, 383, 406, 423, 429, 432, 464, 466, 470, 473, 476, 477, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 493, 495, 496, 516, 534, 536, 544, 567, 592, 604, 615, 616, 617, 638, 652, 662, 670, 671, 680, 688, 697, 698, 701, 706, 709, 718, 734, 737, 744, 785, 792, 795, 828, 830, 831, 838, 839, 856, 860, 879, 889, 906, 912, 915, 918, 930, 936, 938, 942, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 958, 964, 965, 986, 1004, 1006, 1036, 1040, 1049, 1056, 1057], "dd": [31, 254], "mm": [31, 254], "yyyi": [31, 254], "00": [31, 124, 158, 173, 227, 254, 316, 317, 319, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 333, 334, 335, 336, 337, 338, 340, 341, 342, 343, 344, 345, 346, 347, 348, 350, 351, 352, 353, 354, 355, 356, 482, 483, 485, 488, 489, 490, 534, 536, 539, 587, 590, 626, 627, 638, 670, 676, 734, 737, 792, 793, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 829, 830, 832, 833, 834, 835, 836, 1004, 1006, 1009], "overridden": [31, 90, 92, 94, 96, 108, 109, 128, 254, 734], "basi": [31, 124, 254], "param": [31, 90, 92, 93, 94, 96, 101, 102, 108, 109, 112, 123, 124, 126, 195, 254, 734], "It": [31, 180, 186, 236, 254, 268, 447, 480, 587, 588, 638, 680, 685, 718, 734, 960, 961, 1049], "also": [31, 57, 93, 112, 122, 123, 124, 125, 126, 130, 143, 157, 158, 159, 180, 183, 196, 200, 207, 231, 254, 305, 308, 344, 383, 473, 482, 483, 484, 485, 486, 488, 489, 490, 505, 527, 533, 582, 583, 587, 594, 596, 614, 629, 637, 638, 643, 669, 670, 671, 685, 695, 701, 712, 713, 734, 737, 824, 860, 938, 1003, 1049], "group": [31, 35, 48, 52, 102, 157, 158, 159, 171, 183, 185, 187, 197, 225, 227, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 254, 262, 268, 365, 371, 410, 464, 470, 473, 480, 504, 505, 509, 515, 516, 524, 549, 567, 638, 669, 670, 671, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 734, 737, 893, 945, 979, 985, 986, 994, 1049], "float_dtyp": [31, 254], "simplifi": [31, 47, 48, 73, 254, 656, 661, 663, 689, 699, 734], "uniform": [31, 254], "condit": [31, 142, 149, 195, 254, 513, 532, 573, 594, 629, 659, 666, 734], "suppli": [31, 90, 92, 93, 94, 96, 108, 109, 195, 254, 466, 638, 734], "typenam": [31, 254], "3_color_scal": [31, 254], "data_bar": [31, 254], "make": [31, 59, 74, 90, 95, 101, 102, 106, 110, 114, 116, 180, 183, 190, 227, 254, 361, 362, 439, 464, 476, 492, 498, 530, 542, 638, 685, 734, 841, 842, 856, 919, 1000, 1012, 1049, 1057], "icon": [31, 254], "multipl": [31, 55, 73, 74, 101, 102, 112, 114, 115, 116, 122, 126, 134, 140, 144, 146, 149, 157, 158, 163, 171, 185, 187, 197, 200, 201, 207, 221, 231, 234, 254, 428, 444, 448, 455, 456, 464, 477, 480, 482, 483, 484, 485, 486, 488, 489, 490, 505, 563, 565, 569, 572, 576, 582, 583, 584, 594, 604, 605, 609, 614, 619, 622, 629, 638, 652, 658, 666, 669, 670, 695, 696, 701, 706, 712, 716, 718, 734, 743, 839, 845, 911, 924, 942, 1049], "singl": [31, 53, 67, 74, 101, 102, 103, 110, 112, 122, 133, 140, 141, 142, 146, 154, 169, 172, 185, 195, 197, 207, 254, 268, 341, 369, 407, 428, 437, 474, 477, 505, 508, 561, 563, 565, 567, 569, 572, 576, 577, 578, 584, 601, 604, 605, 609, 619, 622, 627, 638, 658, 659, 675, 701, 734, 743, 821, 845, 890, 911, 939, 942, 978, 1025, 1049], "across": [31, 67, 254, 563, 564, 565, 566, 584, 585, 605, 606, 609, 610, 622, 623], "effect": [31, 132, 152, 158, 217, 254, 268, 324, 587, 588, 638, 670, 714, 734, 792, 800], "heatmap": [31, 254], "min": [31, 35, 48, 139, 148, 158, 159, 187, 254, 298, 300, 306, 368, 464, 473, 485, 610, 618, 638, 665, 670, 671, 734, 774, 776, 781, 786, 848, 938, 950, 1049, 1057], "entir": [31, 254], "final": [31, 67, 116, 254, 360, 361, 362, 638, 663, 734, 840, 841, 842, 1049], "made": [31, 254, 1030, 1049], "up": [31, 59, 103, 170, 173, 196, 197, 214, 254, 268, 297, 542, 638, 675, 676, 680, 734, 737, 771, 1012, 1049], "abov": [31, 254, 629], "order": [31, 47, 48, 52, 54, 67, 73, 93, 119, 133, 134, 157, 158, 159, 185, 186, 187, 198, 201, 207, 217, 221, 223, 227, 254, 268, 278, 284, 295, 425, 431, 473, 492, 493, 494, 498, 504, 505, 544, 556, 557, 572, 638, 648, 652, 669, 670, 671, 684, 696, 701, 706, 707, 734, 744, 753, 759, 769, 785, 875, 908, 914, 936, 938, 943, 957, 958, 962, 974, 1015, 1034, 1035, 1049], "than": [31, 47, 48, 89, 94, 96, 101, 102, 112, 117, 124, 126, 133, 135, 156, 157, 170, 173, 185, 195, 196, 198, 225, 236, 254, 268, 376, 377, 398, 436, 450, 480, 492, 502, 520, 526, 531, 542, 567, 579, 587, 622, 638, 669, 676, 718, 734, 744, 945, 957, 972, 990, 996, 1001, 1012, 1049, 1057], "total": [31, 144, 254, 839, 1049], "export": [31, 170, 171, 196, 197, 214, 217, 254], "numer": [31, 173, 254, 261, 298, 299, 300, 373, 383, 434, 454, 456, 467, 476, 497, 545, 555, 638, 649, 676, 734, 737, 774, 775, 776, 786, 860, 874, 959, 966, 1030, 1049, 1057], "associ": [31, 53, 55, 67, 103, 123, 197, 254], "sum": [31, 52, 144, 152, 157, 158, 159, 169, 187, 234, 254, 268, 307, 308, 357, 369, 429, 482, 485, 489, 561, 563, 582, 584, 585, 594, 614, 623, 638, 656, 661, 663, 669, 670, 671, 687, 689, 699, 716, 734, 737, 782, 783, 838, 839, 947, 948, 950, 953, 954, 955, 1049], "must": [31, 91, 92, 104, 113, 139, 145, 158, 159, 173, 180, 195, 254, 310, 429, 437, 470, 482, 483, 484, 485, 486, 488, 489, 490, 638, 662, 670, 671, 676, 680, 685, 734, 785, 786, 936, 1049], "funcnam": [31, 254], "averag": [31, 254, 360, 361, 362, 473, 638, 840, 841, 842, 938, 1049], "count_num": [31, 254], "count": [31, 52, 101, 102, 106, 110, 112, 114, 115, 116, 139, 158, 159, 173, 183, 184, 187, 222, 226, 227, 232, 236, 245, 254, 269, 304, 341, 399, 407, 457, 462, 482, 483, 484, 485, 486, 488, 489, 490, 510, 557, 559, 568, 611, 638, 670, 671, 676, 687, 709, 714, 718, 727, 734, 786, 821, 856, 890, 926, 931, 980, 1035, 1037, 1049], "std_dev": [31, 254], "var": [31, 127, 254, 490, 638, 734, 1049], "pixel": [31, 254], "unit": [31, 38, 40, 124, 126, 144, 254, 317, 318, 325, 350, 355, 435, 448, 534, 536, 558, 587, 588, 596, 638, 689, 734, 737, 793, 794, 801, 830, 835, 839, 918, 1004, 1006, 1036, 1049, 1057], "hand": [31, 101, 102, 112, 254, 409, 415, 430, 892, 898, 913], "side": [31, 158, 159, 254, 383, 409, 415, 430, 482, 483, 484, 485, 486, 488, 489, 490, 493, 587, 588, 626, 627, 638, 670, 671, 734, 860, 892, 898, 913, 958, 1049], "call": [31, 56, 102, 124, 126, 130, 133, 157, 158, 159, 174, 253, 254, 268, 305, 308, 395, 468, 546, 605, 609, 638, 650, 669, 670, 671, 733, 734, 737, 744, 1049], "ad": [31, 93, 132, 158, 222, 231, 254, 267, 366, 582, 583, 638, 670, 712, 734, 846, 1049], "end": [31, 101, 102, 110, 112, 158, 254, 286, 289, 290, 316, 341, 345, 346, 363, 383, 424, 509, 513, 516, 528, 532, 569, 576, 587, 588, 592, 600, 601, 626, 627, 629, 638, 670, 672, 679, 689, 734, 737, 763, 792, 821, 825, 860, 907, 983, 986, 998, 1002, 1049], "wise": [31, 67, 152, 254, 270, 271, 272, 273, 274, 275, 301, 302, 364, 433, 499, 500, 501, 551, 552, 582, 583, 594, 605, 609, 614, 638, 745, 746, 747, 748, 749, 750, 778, 779, 843, 916, 917, 969, 970, 971, 1022, 1023, 1049], "particip": [31, 254], "distinct": [31, 126, 185, 254, 284, 431, 473, 590, 638, 759, 914, 938, 1049, 1057], "referenc": [31, 254, 544], "differ": [31, 101, 117, 119, 146, 158, 159, 170, 196, 197, 214, 222, 254, 312, 322, 341, 342, 344, 353, 359, 408, 439, 458, 459, 461, 492, 498, 534, 557, 587, 593, 596, 602, 638, 661, 670, 671, 734, 737, 743, 744, 787, 798, 821, 822, 824, 833, 845, 891, 928, 929, 959, 1004, 1049], "row_index": [31, 254], "height": [31, 142, 254], "provid": [31, 47, 48, 55, 101, 102, 103, 104, 112, 113, 124, 126, 169, 254, 268, 287, 288, 429, 437, 511, 512, 515, 517, 518, 596, 621, 638, 649, 734, 744, 761, 762, 856, 879, 981, 982, 985, 987, 988, 1049, 1056, 1057], "intersect": [31, 254, 737], "bodi": [31, 254], "start": [31, 100, 101, 102, 103, 106, 110, 112, 114, 115, 116, 128, 157, 158, 174, 206, 227, 232, 254, 286, 289, 290, 322, 325, 326, 328, 329, 334, 336, 342, 343, 345, 346, 350, 352, 353, 354, 356, 363, 383, 424, 482, 483, 485, 488, 489, 490, 503, 509, 513, 516, 528, 532, 569, 576, 582, 587, 588, 592, 594, 600, 601, 626, 627, 629, 638, 669, 670, 689, 700, 714, 734, 737, 764, 793, 795, 798, 801, 802, 804, 809, 811, 814, 816, 819, 822, 823, 825, 826, 830, 832, 833, 834, 835, 836, 860, 907, 973, 983, 986, 998, 1002, 1049, 1057], "zero": [31, 90, 91, 100, 101, 102, 106, 110, 123, 132, 148, 170, 195, 212, 217, 218, 254, 368, 429, 434, 493, 502, 542, 555, 638, 654, 665, 734, 773, 848, 912, 972, 1012, 1025, 1030, 1031, 1049], "unless": [31, 67, 92, 218, 254, 527, 533, 615, 734, 1003, 1031, 1039, 1049], "marker": [31, 254], "compliant": [31, 254], "case": [31, 67, 90, 92, 93, 94, 96, 108, 109, 116, 128, 133, 146, 158, 159, 170, 196, 197, 214, 254, 316, 437, 438, 447, 448, 509, 516, 524, 638, 670, 671, 734, 737, 743, 792, 845, 979, 986, 994, 1049], "three": [31, 220, 254, 429, 493, 638, 912], "avail": [31, 99, 103, 104, 113, 122, 130, 253, 254, 473, 569, 631, 632, 634, 637, 638, 639, 640, 643, 644, 645, 646, 649, 650, 663, 733, 734, 737, 938, 1041, 1043, 1045, 1049, 1050, 1053, 1054, 1055], "insert_befor": [31, 254], "insert_aft": [31, 254], "respect": [31, 254], "direct": [31, 103, 110, 116, 225, 254], "far": [31, 254], "thei": [31, 93, 112, 119, 130, 174, 197, 254, 481, 638, 737, 946, 1049], "strongli": [31, 128, 133, 195, 236, 254, 268, 638, 744, 1049], "advis": [31, 174, 254], "structur": [31, 81, 85, 87, 146, 186, 197, 217, 254, 466, 638, 688, 734, 743, 845, 1049], "wherev": [31, 133, 236, 254, 268, 638, 744, 1049], "possibl": [31, 101, 133, 134, 157, 170, 196, 221, 223, 236, 254, 268, 435, 447, 531, 558, 638, 652, 669, 701, 706, 707, 734, 744, 1001, 1049], "simpl": [31, 126, 183, 254], "colx": [31, 57, 254, 737, 1057], "coli": [31, 254, 737, 1057], "after": [31, 57, 74, 93, 100, 101, 102, 106, 110, 112, 114, 115, 116, 146, 224, 253, 254, 363, 439, 464, 473, 542, 638, 708, 734, 743, 845, 919, 938, 1012, 1049], "befor": [31, 101, 112, 128, 130, 146, 158, 173, 224, 254, 307, 308, 309, 439, 464, 465, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 542, 547, 616, 617, 638, 670, 673, 676, 708, 734, 743, 782, 783, 784, 845, 919, 932, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 1012, 1018, 1049], "most": [31, 54, 90, 101, 102, 103, 112, 254, 448, 455, 465, 531, 559, 638, 924, 932, 1001, 1037, 1049, 1056], "mandatori": [31, 254], "return_dtyp": [31, 133, 254, 268, 437, 439, 567, 604, 638, 744, 919, 1049], "latter": [31, 146, 254, 743, 845, 1049], "appropri": [31, 217, 254, 473, 638, 938, 1049], "pure": [31, 254, 1030, 1049], "actual": [31, 93, 105, 124, 126, 197, 254, 967, 1049], "indic": [31, 100, 101, 102, 106, 110, 112, 121, 122, 126, 158, 159, 173, 197, 201, 215, 227, 254, 279, 341, 345, 352, 385, 388, 389, 391, 392, 393, 428, 443, 446, 482, 483, 484, 485, 486, 488, 489, 490, 493, 499, 549, 572, 573, 638, 670, 671, 676, 696, 734, 737, 821, 825, 832, 864, 868, 870, 871, 872, 873, 911, 958, 969, 1020, 1026, 1049, 1057], "calcul": [31, 67, 158, 208, 228, 254, 312, 360, 361, 362, 396, 408, 409, 435, 487, 502, 507, 558, 560, 567, 579, 616, 617, 620, 628, 638, 670, 702, 710, 734, 787, 840, 841, 842, 880, 891, 892, 952, 972, 976, 1038, 1049], "individu": [31, 48, 124, 159, 217, 254, 268, 516, 638, 671, 734, 772, 986, 1049], "gridlin": [31, 254], "zoom": [31, 254], "level": [31, 35, 48, 112, 114, 115, 116, 124, 133, 152, 183, 254, 369, 638, 672, 679, 734], "freez": [31, 254], "pane": [31, 254], "top": [31, 134, 221, 254, 652, 706, 734], "index": [31, 91, 95, 98, 118, 132, 150, 158, 159, 164, 169, 170, 173, 187, 193, 195, 196, 206, 217, 219, 227, 232, 254, 262, 276, 277, 278, 280, 341, 403, 404, 413, 424, 428, 429, 482, 483, 484, 485, 486, 488, 489, 490, 493, 503, 515, 528, 549, 638, 670, 671, 676, 700, 714, 734, 751, 752, 753, 754, 755, 821, 879, 886, 887, 896, 907, 911, 912, 930, 958, 961, 973, 985, 998, 1020, 1049], "thu": [31, 146, 254, 579, 743, 845, 1049], "altern": [31, 254, 1030, 1049], "a2": [31, 68, 70, 254], "occur": [31, 73, 254, 407, 455, 473, 638, 656, 661, 663, 689, 699, 734, 890, 924, 938, 1049], "equival": [31, 90, 92, 93, 94, 96, 104, 108, 109, 158, 169, 183, 254, 261, 265, 358, 359, 373, 376, 377, 398, 436, 454, 456, 460, 461, 463, 467, 522, 545, 555, 562, 638, 670, 734, 879, 992, 1008, 1010, 1011, 1049], "top_row": [31, 254], "top_col": [31, 254], "base": [31, 36, 142, 149, 158, 159, 254, 316, 324, 357, 360, 361, 362, 432, 433, 470, 523, 638, 659, 666, 670, 671, 734, 737, 792, 800, 838, 840, 841, 842, 856, 915, 916, 936, 993, 1040, 1049, 1057], "scroll": [31, 254], "region": [31, 254], "initit": [31, 254], "5th": [31, 254], "definit": [31, 122, 254, 396, 638, 880, 1049], "take": [31, 124, 130, 152, 158, 180, 186, 187, 211, 217, 254, 341, 505, 550, 587, 588, 591, 593, 602, 638, 670, 685, 705, 734, 821, 1021, 1040, 1049], "care": [31, 254, 268, 494, 638, 962, 1049], "rel": [31, 103, 104, 113, 119, 120, 254, 341, 360, 361, 362, 484, 486, 488, 490, 638, 821, 840, 841, 842, 1049], "readthedoc": [31, 254], "io": [31, 254], "working_with_conditional_format": [31, 254], "html": [31, 91, 132, 138, 254], "similarli": [31, 93, 158, 159, 173, 227, 254, 341, 345, 352, 482, 483, 484, 485, 486, 488, 489, 490, 638, 670, 671, 676, 734, 821, 825, 832], "well": [31, 101, 102, 112, 145, 187, 254, 383, 587, 638, 662, 734, 860, 1049], "adjac": [31, 254], "two": [31, 57, 92, 94, 96, 103, 152, 179, 180, 187, 220, 235, 236, 254, 262, 313, 318, 429, 504, 549, 569, 570, 571, 579, 581, 616, 617, 638, 684, 685, 717, 718, 734, 788, 794, 912, 1049], "help": [31, 254, 663, 734], "appear": [31, 93, 119, 254, 557, 638, 1035, 1049], "working_with_sparklin": [31, 254], "inject": [31, 67, 254], "locat": [31, 146, 193, 219, 224, 254, 493, 638, 708, 734, 743, 845, 958, 961, 1020, 1049], "syntax": [31, 133, 183, 254, 509, 515, 516, 524, 699, 734, 979, 985, 986, 994, 1049], "ensur": [31, 75, 103, 123, 124, 126, 157, 185, 195, 254, 383, 559, 638, 669, 680, 734, 737, 1030, 1037, 1049], "correctli": [31, 254], "microsoft": [31, 118, 254], "com": [31, 103, 254, 360, 361, 362, 515, 516, 638, 840, 841, 842, 985, 986, 1049], "u": [31, 38, 40, 55, 97, 254, 317, 318, 325, 350, 355, 534, 536, 587, 588, 596, 737, 793, 794, 801, 830, 835, 1004, 1006], "offic": [31, 254], "f5ed2452": [31, 254], "2337": [31, 254], "4f71": [31, 254], "bed3": [31, 254], "c8ae6d2b276": [31, 254], "random": [31, 122, 124, 126, 160, 198, 254, 378, 473, 492, 498, 638, 854, 938, 957, 968, 1049], "date": [31, 38, 67, 101, 102, 103, 112, 117, 124, 139, 156, 158, 159, 171, 173, 227, 254, 317, 318, 319, 322, 323, 325, 326, 327, 328, 329, 330, 331, 333, 334, 335, 336, 337, 338, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 406, 482, 483, 484, 485, 486, 488, 489, 490, 534, 535, 553, 587, 588, 596, 603, 625, 638, 670, 671, 676, 734, 737, 792, 793, 794, 795, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 876, 889, 890, 928, 929, 961, 1004, 1005, 1032, 1049], "dtm": [31, 254, 318, 794], "2023": [31, 97, 118, 171, 254, 318, 587, 603, 737, 794], "num": [31, 220, 254, 383, 386, 542, 638, 860, 1049], "500": [31, 170, 226, 254, 663, 709, 734, 809, 811, 819, 826, 947, 948, 950, 1049], "val": [31, 194, 254, 295, 466, 553, 629, 638, 693, 734, 769], "10_000": [31, 254], "20_000": [31, 254], "30_000": [31, 254], "increas": [31, 67, 101, 110, 254, 309, 638, 784, 1049], "b4": [31, 254], "light": [31, 254], "twice": [31, 105, 254], "each": [31, 67, 102, 115, 119, 120, 122, 133, 156, 157, 158, 159, 171, 173, 185, 218, 224, 227, 233, 234, 236, 237, 239, 248, 254, 268, 310, 341, 345, 352, 414, 427, 434, 470, 473, 480, 484, 486, 488, 490, 505, 516, 530, 531, 567, 569, 572, 578, 587, 600, 601, 621, 638, 670, 671, 676, 689, 708, 716, 718, 719, 721, 730, 734, 772, 785, 821, 825, 832, 897, 910, 936, 938, 945, 986, 1000, 1001, 1017, 1049, 1057], "titl": [31, 52, 254], "explicit": [31, 112, 122, 254, 614], "integr": [31, 254, 1057], "multi_fram": [31, 254], "wb": [31, 254], "coordin": [31, 254], "advanc": [31, 254, 429, 912, 1057], "min_color": [31, 254], "76933c": [31, 254], "mid_color": [31, 254], "c4d79b": [31, 254], "max_color": [31, 254], "ebf1d": [31, 254], "data_bar_2010": [31, 254], "bar_color": [31, 254], "9bbb59": [31, 254], "bar_negative_color_sam": [31, 254], "bar_negative_border_color_sam": [31, 254], "000": [31, 254, 1057], "white": [31, 254], "w": [31, 54, 55, 158, 197, 254, 515, 564, 566, 670, 734, 737, 985, 997], "get_worksheet_by_nam": [31, 254], "fmt_titl": [31, 254], "add_format": [31, 254], "font_color": [31, 254], "4f6228": [31, 254], "font_siz": [31, 254], "12": [31, 67, 97, 123, 124, 158, 159, 173, 227, 254, 263, 307, 316, 318, 322, 326, 329, 336, 337, 338, 342, 343, 345, 352, 354, 356, 465, 472, 489, 497, 537, 583, 586, 587, 589, 604, 638, 670, 671, 672, 676, 679, 699, 704, 734, 737, 744, 785, 792, 794, 816, 825, 832, 956, 1007, 1049, 1057], "ital": [31, 254], "bold": [31, 254], "customis": [31, 254], "trend": [31, 254], "win_loss": [31, 254], "subtl": [31, 254], "tone": [31, 254], "hidden": [31, 254], "id": [31, 74, 222, 236, 254, 480, 524, 525, 557, 559, 638, 718, 945, 1035, 1049, 1057], "q1": [31, 254], "55": [31, 69, 254], "20": [31, 124, 146, 163, 164, 180, 186, 188, 192, 193, 254, 276, 277, 278, 312, 345, 352, 378, 382, 466, 482, 483, 485, 596, 603, 626, 638, 685, 688, 734, 737, 787, 832, 1049], "35": [31, 118, 254, 312, 638, 787, 1049], "q2": [31, 254], "30": [31, 146, 158, 163, 186, 192, 193, 213, 231, 254, 276, 277, 278, 312, 318, 323, 329, 337, 343, 344, 345, 352, 356, 378, 497, 587, 603, 626, 638, 670, 688, 712, 734, 737, 785, 787, 794, 799, 817, 824, 825, 832, 1049, 1057], "15": [31, 118, 123, 133, 158, 159, 164, 254, 309, 312, 338, 345, 352, 466, 489, 583, 615, 626, 638, 670, 671, 734, 737, 784, 787, 825, 832, 1049], "60": [31, 146, 254, 346, 347, 489, 534, 638, 822, 826, 827, 1004], "q3": [31, 254], "40": [31, 146, 186, 254, 345, 352, 378, 537, 638, 688, 734, 805, 832, 1007], "80": [31, 254], "q4": [31, 254], "75": [31, 139, 254, 265, 463, 482, 483, 484, 485, 488, 489, 490, 638, 786, 856, 936, 1049, 1057], "account": [31, 97, 103, 254, 341, 360, 361, 362, 638, 821, 840, 841, 842, 1049], "flavour": [31, 254], "integer_dtyp": [31, 200, 254, 695, 734, 737], "0_": [31, 254], "just": [31, 112, 179, 254, 684, 734], "unifi": [31, 254, 737], "multi": [31, 101, 102, 254, 363, 515, 605, 609, 638, 985], "2_color_scal": [31, 254], "95b3d7": [31, 254], "ffffff": [31, 254], "standardis": [31, 254], "z": [31, 54, 74, 97, 122, 124, 144, 166, 168, 172, 179, 196, 197, 254, 261, 263, 265, 295, 378, 405, 438, 463, 468, 476, 516, 534, 536, 546, 564, 566, 585, 606, 610, 615, 623, 638, 675, 684, 700, 734, 737, 769, 848, 986, 1004, 1006, 1049, 1056], "score": [31, 254], "conjunct": [31, 105, 254], "a123": [31, 254], "b345": [31, 254], "c567": [31, 254], "d789": [31, 254], "e101": [31, 254], "45": [31, 159, 254, 318, 345, 352, 489, 510, 516, 570, 571, 603, 626, 638, 671, 734, 737, 794, 825, 832, 980, 986, 1057], "85": [31, 254, 1057], "font": [31, 254], "consola": [31, 254], "standard": [31, 118, 208, 217, 254, 329, 361, 488, 502, 507, 518, 620, 638, 702, 734, 805, 841, 972, 976, 988, 1049, 1057], "stdev": [31, 254], "ipccompress": [32, 254], "arrow": [32, 47, 76, 90, 103, 106, 114, 170, 196, 197, 212, 214, 254, 734, 1025, 1030, 1049], "ipc": [32, 106, 107, 114, 117, 254, 649], "binari": [32, 254, 286, 288, 289, 290, 760, 763, 764], "feather": [32, 106, 114, 254, 649], "lz4": [32, 35, 47, 48, 254, 734], "zstd": [32, 35, 47, 48, 254, 734], "pretti": [33, 254], "row_ori": [33, 254], "iobas": [33, 34, 108, 109, 254, 452, 691, 715, 734], "serial": [33, 34, 254], "represent": [33, 34, 216, 254, 295, 322, 326, 329, 330, 332, 334, 336, 339, 342, 343, 346, 353, 354, 356, 553, 638, 661, 678, 734, 769, 798, 802, 804, 805, 809, 811, 814, 816, 819, 822, 823, 826, 833, 834, 836, 1028, 1032, 1049], "orient": [33, 68, 70, 94, 96, 254, 734], "slower": [33, 94, 96, 133, 157, 185, 227, 236, 254, 268, 567, 638, 669, 718, 734, 744, 1049], "common": [33, 67, 73, 74, 254, 438, 587, 588, 638, 643, 656, 661, 663, 689, 699, 734], "write_ndjson": [33, 254], "newlin": [34, 109, 115, 254], "delimit": [34, 101, 102, 109, 112, 115, 187, 215, 254, 508, 978, 1026, 1049], "parquetcompress": [35, 254], "compression_level": [35, 48, 254, 734], "statist": [35, 48, 101, 102, 110, 116, 139, 254, 361, 362, 396, 482, 483, 484, 485, 486, 487, 488, 489, 490, 502, 638, 734, 786, 841, 842, 880, 952, 972, 1049], "row_group_s": [35, 48, 254, 734], "use_pyarrow": [35, 48, 101, 106, 110, 254, 734, 1029, 1030, 1049], "pyarrow_opt": [35, 104, 110, 113, 254], "parquet": [35, 48, 110, 111, 116, 254, 649, 734], "gzip": [35, 48, 254, 734], "lzo": [35, 48, 254, 734], "brotli": [35, 48, 254, 734], "choos": [35, 47, 48, 187, 254, 734], "good": [35, 47, 48, 170, 254, 734], "perform": [35, 47, 48, 67, 81, 91, 101, 102, 106, 110, 112, 114, 115, 116, 132, 133, 134, 157, 158, 159, 173, 190, 197, 221, 236, 254, 268, 464, 534, 535, 536, 638, 652, 670, 671, 676, 701, 706, 714, 734, 744, 1004, 1005, 1006, 1049], "fast": [35, 47, 48, 125, 127, 254, 366, 494, 638, 734, 846, 962, 1049, 1057], "decompress": [35, 47, 48, 254, 734], "backward": [35, 48, 148, 173, 254, 285, 338, 368, 638, 665, 676, 734, 818, 848, 1049], "guarante": [35, 48, 91, 101, 102, 223, 254, 663, 707, 734], "deal": [35, 48, 170, 254, 344, 352, 473, 534, 638, 734, 824, 832, 938, 1004, 1049], "older": [35, 48, 254, 734], "reader": [35, 48, 99, 101, 102, 106, 110, 254, 650, 734], "higher": [35, 48, 189, 246, 254, 471, 486, 613, 638, 690, 728, 734, 937, 951, 1049], "mean": [35, 48, 101, 102, 106, 110, 112, 139, 148, 157, 158, 159, 173, 187, 227, 234, 254, 341, 345, 352, 365, 368, 482, 483, 484, 485, 486, 488, 489, 490, 502, 515, 569, 574, 587, 638, 665, 669, 670, 671, 676, 680, 716, 734, 786, 821, 825, 832, 844, 848, 853, 948, 972, 985, 1049], "smaller": [35, 48, 144, 254, 663, 734, 839, 1049], "disk": [35, 47, 48, 106, 254, 699, 734], "11": [35, 48, 118, 124, 159, 254, 263, 314, 315, 329, 337, 338, 341, 345, 352, 382, 465, 473, 489, 503, 542, 562, 576, 622, 627, 638, 656, 671, 672, 679, 689, 704, 734, 737, 744, 821, 825, 832, 946, 1049], "22": [35, 48, 123, 254, 322, 342, 345, 352, 354, 355, 482, 483, 485, 488, 489, 490, 534, 576, 638, 734, 737, 825, 832, 835, 1004, 1057], "comput": [35, 48, 73, 74, 78, 144, 157, 173, 218, 223, 234, 246, 254, 260, 270, 271, 272, 273, 274, 275, 281, 282, 283, 296, 301, 302, 304, 305, 306, 307, 308, 313, 357, 364, 396, 409, 415, 419, 420, 421, 430, 432, 433, 434, 455, 464, 465, 469, 470, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 499, 500, 501, 502, 506, 551, 552, 563, 564, 565, 566, 570, 571, 572, 579, 581, 584, 591, 605, 609, 616, 617, 622, 638, 669, 673, 675, 676, 707, 713, 716, 728, 734, 739, 745, 746, 747, 748, 749, 750, 756, 757, 758, 770, 778, 779, 780, 781, 782, 783, 788, 838, 839, 843, 880, 892, 898, 902, 903, 904, 913, 915, 916, 917, 924, 932, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 969, 970, 971, 972, 975, 1022, 1023, 1031, 1049], "512": [35, 254, 467, 638, 932, 1049], "implement": [35, 91, 132, 133, 236, 254, 268, 395, 468, 546, 567, 638, 718, 744, 960, 961, 1049], "v": [35, 54, 55, 144, 254, 493, 638, 785, 958, 1049], "At": [35, 254], "moment": [35, 138, 254, 396, 502, 638, 880, 972, 1049], "pyarrow": [35, 90, 95, 101, 103, 104, 106, 110, 113, 117, 118, 171, 212, 217, 218, 254, 650, 1025, 1029, 1030, 1031, 1049], "write_t": [35, 254], "calendar": [37, 38, 158, 159, 173, 227, 254, 329, 341, 345, 352, 356, 482, 483, 484, 485, 486, 488, 489, 490, 638, 670, 671, 676, 734, 805, 821, 825, 832, 836], "time_unit": [38, 40, 97, 317, 318, 325, 350, 355, 534, 536, 587, 588, 596, 737, 793, 794, 801, 830, 835, 1004, 1006], "time_zon": [38, 97, 319, 344, 352, 536, 587, 588, 737, 792, 795, 800, 824, 832, 1006], "timezon": [38, 737], "m": [38, 40, 55, 172, 254, 316, 317, 318, 324, 325, 348, 350, 351, 355, 515, 534, 535, 536, 539, 587, 588, 596, 675, 734, 737, 792, 793, 794, 800, 801, 828, 830, 831, 835, 985, 1004, 1005, 1006, 1009], "zone": [38, 316, 319, 344, 534, 536, 587, 588, 737, 792, 795, 824, 1004, 1006], "zoneinfo": [38, 737], "run": [38, 47, 48, 73, 125, 127, 133, 157, 174, 187, 223, 236, 254, 268, 309, 410, 479, 480, 618, 638, 656, 661, 663, 669, 680, 684, 689, 699, 707, 734, 737, 744, 784, 893, 944, 945, 1049, 1056, 1057], "available_timezon": [38, 737], "check": [38, 101, 102, 112, 119, 120, 153, 158, 159, 167, 169, 172, 254, 264, 266, 286, 289, 290, 383, 387, 406, 509, 513, 532, 638, 670, 671, 675, 680, 734, 741, 742, 760, 763, 764, 861, 863, 866, 867, 869, 874, 875, 876, 878, 879, 889, 959, 979, 983, 1002, 1049], "128": [39, 69, 932, 1049], "bit": [39, 41, 42, 43, 44, 45, 46, 61, 62, 63, 64, 475, 509, 638, 940, 979, 1049], "neg": [39, 158, 159, 161, 175, 203, 204, 206, 210, 254, 423, 424, 466, 495, 496, 503, 528, 638, 670, 671, 697, 698, 700, 714, 734, 855, 882, 906, 907, 964, 965, 973, 998, 1019, 1049], "scale": [39, 144, 254, 466, 537, 638, 839, 1007, 1049], "experiment": [39, 117, 200, 225, 226, 231, 254, 309, 345, 482, 483, 484, 485, 486, 488, 489, 490, 638, 695, 709, 712, 734, 784, 825, 856, 936, 1049], "progress": 39, "expect": [39, 82, 84, 89, 268, 567, 603, 638, 678, 680, 734], "32": [41, 44, 62, 69, 159, 169, 254, 456, 497, 638, 671, 734, 788, 822, 932, 951, 1049], "sign": [43, 44, 45, 46, 341, 475, 542, 638, 821, 869, 940, 1012, 1049], "maintain_ord": [47, 48, 134, 157, 185, 187, 221, 223, 227, 235, 237, 238, 240, 241, 242, 243, 244, 245, 246, 247, 254, 262, 268, 284, 431, 549, 556, 580, 638, 652, 656, 661, 663, 669, 689, 699, 701, 706, 707, 717, 719, 720, 722, 723, 724, 725, 726, 727, 728, 729, 734, 759, 914, 1034, 1049], "type_coercion": [47, 48, 73, 656, 661, 663, 689, 699, 734], "predicate_pushdown": [47, 48, 73, 656, 661, 663, 680, 689, 699, 734], "projection_pushdown": [47, 48, 73, 656, 661, 663, 680, 689, 699, 734], "simplify_express": [47, 48, 73, 656, 661, 663, 689, 699, 734], "no_optim": [47, 48, 73, 656, 663, 680, 689, 734], "slice_pushdown": [47, 48, 73, 656, 661, 663, 680, 689, 699, 734], "persist": [47, 48, 57, 734], "larger": [47, 48, 579, 734], "ram": [47, 48, 734], "maintain": [47, 48, 134, 221, 254, 284, 431, 493, 556, 638, 652, 701, 706, 734, 759, 914, 958, 1034, 1049], "slightli": [47, 48, 734], "faster": [47, 48, 146, 217, 225, 254, 268, 481, 522, 557, 638, 734, 743, 744, 845, 946, 992, 1049], "coercion": [47, 48, 73, 476, 638, 656, 661, 663, 689, 699, 734], "optim": [47, 48, 73, 110, 112, 114, 115, 116, 170, 174, 186, 190, 196, 223, 254, 656, 661, 663, 680, 689, 699, 707, 714, 718, 734, 770, 1049], "predic": [47, 48, 73, 112, 114, 115, 116, 117, 149, 169, 195, 254, 369, 561, 594, 638, 656, 661, 663, 666, 680, 689, 692, 699, 714, 734, 849, 960, 961, 1049], "pushdown": [47, 48, 73, 656, 661, 663, 680, 689, 692, 699, 714, 734, 960, 961, 1049], "project": [47, 48, 73, 112, 114, 115, 116, 268, 504, 505, 638, 656, 661, 663, 680, 689, 692, 699, 715, 734], "turn": [47, 48, 73, 101, 102, 112, 540, 559, 638, 656, 661, 663, 680, 689, 734, 1010], "off": [47, 48, 73, 101, 102, 112, 559, 638, 656, 661, 663, 680, 689, 734], "certain": [47, 48, 80, 104, 113, 164, 227, 254, 576, 656, 689, 734, 1049], "slice": [47, 48, 68, 73, 144, 161, 171, 210, 254, 414, 427, 481, 482, 483, 484, 485, 486, 488, 489, 490, 638, 656, 661, 663, 680, 689, 699, 734, 839, 855, 897, 910, 946, 947, 948, 949, 950, 951, 953, 954, 955, 1019, 1049], "lf": [47, 48, 652, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 669, 670, 672, 673, 674, 675, 677, 678, 679, 680, 681, 682, 683, 684, 686, 687, 688, 689, 690, 692, 693, 694, 695, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 710, 711, 712, 713, 714, 715, 734, 1056, 1057], "scan_csv": [47, 48, 101, 102, 734], "my_larger_than_ram_fil": [47, 48, 734], "data_pagesize_limit": [48, 734], "reduc": [48, 101, 102, 110, 112, 114, 115, 116, 241, 242, 244, 247, 497, 594, 638, 723, 724, 726, 729, 734, 921, 935, 966, 1018, 1049], "pressur": [48, 110, 115, 116, 497, 638, 734, 966, 1049], "improv": [48, 106, 114, 734], "speed": [48, 268, 638, 734], "minimum": [48, 122, 123, 124, 126, 152, 181, 254, 360, 361, 362, 453, 459, 473, 609, 610, 638, 686, 734, 774, 813, 840, 841, 842, 929, 934, 938, 1049, 1057], "limit": [48, 103, 112, 148, 254, 285, 298, 299, 300, 368, 374, 638, 665, 672, 734, 774, 775, 776, 848, 1049], "page": [48, 106, 110, 114, 116, 254, 638, 649, 734, 1049], "arrai": [49, 90, 94, 101, 102, 110, 144, 212, 217, 218, 254, 281, 282, 283, 284, 298, 299, 300, 304, 305, 306, 307, 308, 405, 418, 419, 420, 421, 422, 425, 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670, 734, 792, 793, 795, 798, 799, 800, 801, 802, 803, 804, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 830, 832, 833, 834, 835, 836, 1056], "pars": [52, 101, 102, 105, 109, 112, 114, 115, 134, 157, 200, 207, 221, 231, 234, 254, 383, 464, 505, 517, 523, 534, 536, 537, 563, 564, 565, 566, 572, 575, 577, 578, 584, 585, 596, 605, 606, 609, 610, 618, 619, 621, 622, 623, 638, 652, 669, 695, 701, 706, 712, 716, 734, 860, 987, 993, 1004, 1006, 1007, 1049], "against": [52, 410, 734, 893, 1056, 1057], "eagerli": [52, 429], "unset": [52, 123, 344, 429, 824], "init": [52, 130], "eager_execut": [52, 1056], "itself": [52, 122, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 616, 617, 638, 678, 734, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 1049, 1056], "alwai": [52, 101, 123, 133, 157, 236, 254, 447, 534, 587, 629, 680, 734, 743, 744, 1004, 1049, 1056, 1057], "impact": [52, 158, 254, 670, 734, 1056], "declar": [52, 90, 92, 93, 94, 96, 108, 109, 254, 734], "godfath": 52, "1972": 52, "6_000_000": 52, "134_821_952": 52, "dark": 52, "knight": 52, "2008": 52, "185_000_000": 52, "533_316_061": 52, "schindler": 52, "1993": 52, "22_000_000": 52, "96_067_179": 52, "pulp": 52, "fiction": 52, "1994": 52, "8_000_000": 52, "107_930_000": 52, "shawshank": 52, "redempt": 52, "25_000_000": 52, "28_341_469": 52, "release_year": 52, "budget": 52, "gross": 52, "imdb_scor": 52, "ctx": [52, 53, 54, 55, 56, 57], "film": 52, "1990": 52, "BY": [52, 54], "desc": [52, 54], "AS": [52, 619, 1056], "decad": 52, "total_gross": 52, "n_film": 52, "2000": [52, 328, 330, 337, 338, 341, 737, 804, 817, 818, 821], "533316061": 52, "232338648": 52, "1970": [52, 117], "134821952": 52, "register_glob": [53, 55, 57, 1056], "register_mani": [53, 54, 57], "unregist": [53, 54, 55, 1056], "frame_data": [53, 56], "execut": [53, 54, 56, 74, 174, 254, 410, 653, 680, 689, 734, 893, 1056], "collect": [53, 54, 57, 70, 73, 112, 113, 117, 124, 126, 140, 142, 174, 212, 254, 268, 387, 577, 596, 621, 638, 652, 658, 659, 662, 663, 664, 665, 666, 667, 669, 670, 671, 672, 674, 675, 676, 677, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 690, 692, 693, 695, 697, 698, 700, 701, 702, 703, 704, 705, 706, 707, 708, 710, 712, 713, 714, 716, 717, 718, 719, 720, 722, 723, 724, 725, 726, 727, 728, 729, 734, 737, 867, 1049, 1056, 1057], "global": [54, 58, 75, 124, 129, 217, 254, 439, 638, 1056], "scope": [54, 57, 130, 648, 737, 1056], "automat": [54, 57, 90, 92, 93, 94, 96, 97, 101, 102, 103, 108, 109, 112, 124, 126, 128, 200, 231, 254, 292, 439, 521, 527, 533, 638, 695, 712, 734, 919, 991, 997, 1003, 1049, 1056], "map": [54, 55, 92, 93, 101, 102, 106, 107, 110, 111, 112, 114, 133, 143, 151, 170, 191, 195, 196, 197, 213, 254, 345, 352, 438, 439, 464, 480, 559, 567, 638, 660, 692, 734, 786, 825, 832, 919, 945, 1049, 1056], "recent": [54, 465, 638, 932, 1049, 1056], "df1": [54, 56, 57, 58, 67, 74, 75, 119, 146, 153, 180, 218, 229, 254, 685, 734], "x": [54, 55, 67, 74, 97, 101, 102, 103, 112, 122, 124, 144, 163, 166, 168, 172, 179, 187, 196, 197, 254, 261, 263, 264, 265, 266, 268, 310, 311, 358, 359, 373, 376, 377, 378, 398, 405, 416, 434, 436, 437, 438, 454, 456, 460, 461, 463, 467, 468, 470, 476, 480, 499, 502, 530, 545, 546, 553, 555, 562, 564, 566, 567, 570, 571, 582, 583, 585, 594, 603, 604, 606, 610, 614, 623, 638, 675, 680, 684, 700, 734, 737, 744, 848, 878, 969, 972, 1000, 1032, 1049, 1056], "df2": [54, 56, 57, 58, 67, 74, 75, 119, 146, 153, 218, 229, 254], "t": [54, 55, 74, 105, 112, 133, 158, 186, 223, 225, 254, 268, 292, 309, 316, 324, 344, 357, 360, 361, 362, 410, 464, 466, 470, 515, 521, 534, 536, 567, 629, 638, 670, 688, 707, 734, 737, 744, 784, 824, 838, 840, 841, 842, 893, 936, 959, 985, 991, 997, 1004, 1006, 1030, 1039, 1049], "join": [54, 58, 67, 73, 74, 75, 173, 226, 254, 382, 464, 638, 656, 661, 663, 676, 689, 699, 709, 713, 734], "named_fram": [55, 1056], "lf1": [55, 57], "o": [55, 106, 114, 291, 309, 514, 554, 638, 765, 784, 984, 1003, 1033, 1049], "lf2": [55, 57, 734], "p": [55, 69, 186, 254, 466, 621, 638, 688, 734], "q": [55, 197, 254, 310, 470, 621, 638, 936, 1049], "r": [55, 466, 510, 514, 515, 516, 524, 638, 737, 980, 984, 985, 986, 994], "lf3": [55, 734], "lf4": [55, 734], "either": [55, 124, 159, 169, 174, 177, 185, 195, 209, 217, 254, 470, 534, 563, 572, 621, 638, 671, 678, 734, 737, 936, 1004, 1049], "tbl1": [55, 57], "tbl2": [55, 57], "tbl3": 55, "tbl4": 55, "statement": [56, 629], "hello_world": 56, "baz": [56, 164, 165, 187, 224, 254, 529, 531, 674, 708, 734, 737, 1001], "hello_data": 56, "foo_bar": [56, 603], "registr": [57, 649], "lifetim": [57, 130, 648], "context": [57, 58, 128, 183, 237, 254, 262, 268, 303, 369, 410, 447, 504, 505, 559, 567, 580, 593, 596, 602, 615, 618, 637, 638, 648, 649, 713, 719, 734, 893, 1056], "manag": [57, 58, 648, 649, 1056], "often": [57, 130, 158, 159, 254, 407, 476, 638, 670, 671, 734, 890], "want": [57, 93, 133, 146, 183, 254, 268, 298, 299, 300, 352, 369, 437, 439, 480, 482, 483, 484, 485, 486, 488, 489, 490, 582, 594, 612, 615, 630, 638, 656, 672, 679, 734, 737, 743, 744, 774, 775, 776, 832, 845, 945, 1030, 1049], "df0": [57, 180, 254, 685, 734], "exit": [57, 58, 130, 1056], "construct": [57, 90, 92, 93, 94, 95, 96, 254, 375, 439, 612, 615, 630, 638, 668, 691, 734, 1049], "through": [57, 737, 1049], "tbl0": 57, "remain": [57, 101, 102, 112, 144, 254, 530, 531, 569, 680, 734, 839, 1000, 1001, 1049], "text": [57, 522, 524, 525, 619, 992, 1057], "misc": 57, "testing1234": 57, "test1": 57, "test2": 57, "test3": 57, "temporarili": [58, 128, 130, 158, 159, 254, 670, 671, 734], "cach": [58, 73, 75, 106, 112, 114, 116, 129, 439, 482, 483, 484, 485, 486, 488, 489, 490, 534, 535, 536, 539, 638, 648, 656, 661, 663, 689, 699, 734, 1004, 1005, 1006, 1009], "categori": [58, 75, 215, 254, 294, 295, 310, 470, 638, 768, 769, 785, 856, 936, 1049], "until": [58, 174, 254, 587], "finish": [58, 78, 146, 254, 743, 845, 1049], "invalid": [58, 101, 102, 112, 517, 518, 523, 555, 587, 588, 638, 987, 988, 993], "outermost": 58, "color": [58, 75, 236, 286, 288, 289, 290, 718], "red": [58, 75, 236, 718], "green": [58, 75, 236, 718], "blue": [58, 75, 286, 288, 289, 290], "orang": [58, 75, 137, 237, 238, 240, 241, 242, 244, 246, 247, 254, 719, 720, 722, 723, 724, 726, 728, 729], "uint8": [58, 75, 121, 123, 216, 217, 254, 307, 308, 439, 547, 562, 638, 737, 782, 783, 1018, 1049, 1057], "yellow": [58, 75, 286, 288, 289, 290], "black": [58, 75, 133, 254, 286, 288, 289, 290], "succe": [58, 101, 102, 112], "df_join": [58, 75], "cat": [58, 75, 216, 254, 310, 470, 509, 538, 541, 553, 578, 634, 638, 737, 785, 856, 936, 979, 1008, 1011, 1045, 1049], "u8": [58, 75, 215, 216, 254, 439, 562, 638, 737, 1026, 1049, 1057], "composit": [59, 123, 1057], "schemadict": [59, 90, 92, 93, 94, 95, 96, 112, 199, 254, 621, 680, 694, 718, 734], "struct_seri": [59, 718], "dai": [60, 158, 159, 171, 173, 227, 254, 325, 329, 336, 337, 338, 341, 342, 343, 345, 350, 352, 353, 354, 356, 482, 483, 484, 485, 486, 488, 489, 490, 586, 587, 589, 590, 638, 670, 671, 676, 734, 737, 817, 818, 821, 822, 825, 832, 834], "unsign": [61, 62, 63, 64, 475, 638, 869, 940, 1049], "could": [65, 78, 142, 158, 254, 293, 582, 594, 638, 659, 670, 734, 766, 1049], "static": [65, 718], "utf": 66, "frametyp": [67, 1056], "joinstrategi": [67, 172, 254, 675, 734], "outer": [67, 74, 172, 254, 675, 734], "descend": [67, 134, 201, 207, 221, 254, 278, 425, 473, 494, 504, 505, 572, 638, 652, 696, 701, 706, 734, 753, 875, 908, 938, 962, 974, 1049], "fill": [67, 74, 135, 147, 148, 204, 225, 254, 285, 305, 308, 367, 368, 374, 382, 482, 483, 485, 489, 496, 520, 526, 542, 595, 612, 615, 630, 638, 664, 665, 698, 713, 734, 847, 848, 859, 930, 947, 948, 950, 953, 954, 955, 965, 990, 996, 1012, 1049], "sort": [67, 68, 119, 123, 134, 158, 159, 173, 180, 186, 187, 201, 221, 227, 239, 248, 254, 278, 295, 369, 464, 494, 505, 559, 561, 572, 638, 652, 661, 670, 671, 676, 685, 688, 689, 696, 699, 706, 721, 730, 734, 737, 753, 769, 875, 962, 1034, 1037, 1049, 1057], "origin": [67, 101, 102, 223, 254, 344, 395, 439, 464, 475, 476, 477, 510, 515, 516, 518, 520, 526, 542, 570, 571, 638, 707, 734, 785, 824, 919, 936, 942, 980, 985, 986, 988, 990, 996, 1012, 1049], "In": [67, 104, 113, 116, 124, 126, 130, 133, 144, 146, 158, 159, 183, 217, 254, 268, 587, 638, 670, 671, 734, 743, 839, 845, 939, 1049], "duplic": [67, 79, 166, 172, 173, 223, 254, 263, 384, 395, 470, 638, 675, 676, 707, 734, 862, 936, 1049], "behaviour": [67, 74, 509, 515, 516, 524, 555, 638, 979, 985, 986, 994], "strategi": [67, 74, 101, 121, 122, 123, 124, 126, 148, 158, 172, 173, 182, 254, 268, 368, 429, 638, 665, 670, 675, 676, 734, 848, 912, 1049], "suitabl": [67, 74, 122, 133, 254, 268, 493, 638, 744, 958, 1049, 1057], "get": [67, 98, 107, 111, 128, 134, 137, 143, 151, 154, 155, 158, 159, 161, 162, 166, 168, 169, 175, 182, 195, 199, 202, 206, 210, 221, 230, 239, 248, 254, 262, 276, 277, 278, 280, 284, 294, 304, 305, 306, 307, 308, 325, 341, 370, 379, 384, 386, 394, 397, 400, 412, 417, 418, 431, 440, 441, 442, 447, 449, 453, 458, 459, 471, 479, 503, 507, 519, 522, 547, 548, 556, 560, 587, 593, 598, 602, 605, 606, 607, 608, 609, 610, 620, 624, 628, 638, 652, 657, 660, 667, 670, 671, 672, 677, 679, 694, 700, 704, 706, 711, 721, 730, 734, 751, 752, 753, 754, 755, 759, 768, 772, 780, 781, 782, 783, 801, 821, 852, 855, 860, 862, 865, 877, 882, 895, 900, 901, 914, 920, 922, 923, 925, 928, 929, 933, 934, 937, 944, 973, 976, 989, 992, 1019, 1025, 1026, 1034, 1038, 1039, 1049], "speedup": [67, 133, 170, 254, 268, 638, 744, 1049], "receiv": [67, 112, 133, 186, 254, 466, 638, 688, 734, 1057], "now": [67, 159, 254, 470, 534, 536, 638, 671, 734, 1004, 1006], "One": [67, 139, 183, 187, 254, 265, 463, 619, 638, 737, 786, 1049], "whose": [67, 173, 187, 254, 363, 592, 638, 676, 734], "uniqu": [67, 121, 122, 123, 126, 168, 172, 183, 197, 245, 254, 269, 280, 310, 386, 394, 457, 470, 534, 535, 536, 539, 557, 559, 568, 611, 638, 675, 727, 734, 755, 785, 786, 865, 877, 926, 936, 1004, 1005, 1006, 1009, 1035, 1037, 1049], "post": 67, "constrain": 67, "newli": 67, "boolean": [67, 134, 149, 152, 174, 207, 221, 254, 264, 265, 266, 286, 289, 290, 328, 369, 383, 385, 386, 387, 388, 389, 390, 391, 392, 393, 401, 402, 406, 463, 505, 517, 561, 562, 572, 573, 621, 638, 652, 655, 666, 678, 701, 706, 734, 737, 741, 742, 754, 760, 762, 804, 849, 860, 861, 862, 864, 865, 867, 868, 870, 871, 872, 873, 877, 884, 885, 889, 933, 934, 960, 979, 1030, 1040, 1049], "know": [67, 429, 522, 992, 1030, 1039, 1049], "first": [67, 101, 102, 105, 112, 115, 123, 133, 156, 158, 161, 173, 175, 182, 186, 187, 210, 215, 216, 222, 223, 227, 239, 254, 278, 280, 309, 338, 341, 345, 379, 386, 400, 410, 413, 414, 429, 439, 466, 493, 505, 515, 517, 518, 524, 525, 575, 582, 587, 594, 598, 629, 638, 656, 670, 672, 676, 679, 688, 707, 713, 721, 734, 737, 753, 784, 786, 818, 821, 825, 855, 865, 882, 893, 896, 897, 912, 919, 958, 985, 987, 988, 994, 995, 1019, 1028, 1049, 1057], "2022": [67, 139, 156, 158, 159, 173, 227, 254, 318, 341, 345, 352, 482, 483, 484, 485, 486, 488, 489, 490, 534, 587, 588, 590, 596, 638, 670, 671, 676, 734, 737, 794, 805, 821, 825, 832, 1004], "y": [67, 74, 97, 122, 124, 144, 166, 168, 172, 179, 187, 196, 197, 254, 261, 263, 264, 265, 266, 348, 351, 358, 359, 376, 377, 398, 405, 416, 436, 438, 460, 461, 463, 468, 476, 480, 534, 535, 536, 546, 555, 562, 564, 566, 570, 571, 585, 603, 606, 610, 623, 638, 675, 684, 700, 734, 737, 828, 831, 1004, 1005, 1006], "df3": [67, 254], "set_tbl_format": 67, "09": [67, 124, 159, 254, 318, 329, 337, 338, 537, 627, 671, 734, 798, 1007], "01": [67, 124, 139, 156, 158, 159, 227, 254, 316, 317, 318, 319, 323, 325, 326, 327, 328, 329, 330, 331, 333, 334, 335, 336, 337, 338, 340, 341, 343, 344, 345, 346, 347, 348, 350, 351, 352, 353, 355, 356, 482, 483, 485, 488, 489, 490, 534, 535, 536, 539, 587, 588, 590, 638, 670, 671, 734, 737, 793, 794, 795, 796, 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834, 835, 1005, 1009], "af1": 67, "af2": 67, "af3": 67, "keep": [67, 101, 102, 112, 223, 226, 227, 254, 395, 439, 575, 638, 707, 709, 734, 919, 1049], "easili": [67, 200, 231, 234, 254, 576, 621, 695, 712, 716, 734], "dot": [67, 638, 699, 734, 1049], "product": [67, 138, 254, 307, 313, 567, 638, 782, 788, 1049], "fill_nul": [67, 147, 254, 638, 664, 713, 734, 1049], "sum_horizont": [67, 622], "167": 67, "47": 67, "callabl": [68, 69, 70, 71, 112, 133, 152, 186, 236, 254, 268, 429, 437, 438, 466, 481, 567, 582, 583, 594, 604, 614, 638, 680, 688, 718, 734, 744, 912, 946, 1049], "decor": [68, 69, 70, 71, 124, 126, 133, 254, 268, 638, 648, 649, 744, 1049], "under": [68, 69, 70, 71, 631, 632, 634, 639, 640, 644, 645, 646, 1041, 1043, 1045, 1050, 1053, 1054, 1055], "access": [68, 69, 70, 71, 170, 195, 196, 254, 439, 638, 713, 734, 1057], "by_first_letter_of_column_nam": 68, "f": [68, 102, 139, 156, 171, 212, 222, 225, 254, 261, 268, 429, 497, 514, 534, 536, 567, 577, 604, 638, 912, 984, 1004, 1006], "fromkei": [68, 70], "by_first_letter_of_column_valu": 68, "starts_with": [68, 286, 289, 509, 513, 737, 983], "to_seri": [68, 154, 254, 534, 573, 615, 1004], "xx": [68, 70, 123, 126, 737], "xy": [68, 70], "yy": [68, 70, 123, 126, 737], "yz": [68, 70], "b1": [68, 70], "b2": [68, 70], "pow_n": 69, "powersofn": 69, "next": [69, 158, 159, 173, 227, 254, 285, 341, 345, 352, 473, 482, 483, 484, 485, 486, 488, 489, 490, 587, 638, 670, 671, 676, 734, 821, 825, 832, 938, 1049], "ceil": [69, 638, 1049], "previou": [69, 130, 465, 468, 544, 546, 638, 743, 932, 1049], "floor": [69, 638, 1049], "nearest": [69, 173, 189, 246, 254, 297, 372, 382, 471, 486, 613, 638, 676, 690, 728, 734, 771, 851, 859, 937, 951, 1049], "24": [69, 118, 133, 144, 158, 159, 173, 227, 254, 307, 309, 322, 327, 341, 342, 345, 352, 354, 456, 482, 483, 484, 485, 486, 488, 489, 490, 638, 670, 671, 676, 734, 784, 803, 821, 825, 832, 879, 1049], "001": [69, 330, 331, 333, 340, 590, 810, 812, 820], "next_pow2": 69, "prev_pow2": 69, "nearest_pow2": 69, "split_by_column_dtyp": 70, "collect_al": 70, "31": [71, 124, 318, 322, 323, 336, 337, 341, 353, 534, 586, 587, 589, 596, 603, 737, 792, 794, 798, 799, 817, 821, 1004, 1057], "42": [71, 159, 160, 180, 254, 671, 685, 734, 854, 1049], "961": 71, "1764": 71, "4160": 71, "build": [72, 91, 737, 1057], "wa": 72, "compil": [72, 403, 404, 886, 887], "gate": 72, "info": [72, 104, 113, 118], "otherwis": [72, 123, 128, 133, 180, 197, 200, 236, 254, 268, 287, 298, 299, 300, 344, 352, 360, 361, 362, 429, 466, 475, 509, 511, 563, 565, 567, 584, 605, 609, 622, 629, 638, 685, 695, 718, 734, 744, 761, 774, 775, 776, 824, 832, 840, 841, 842, 912, 940, 960, 961, 979, 981, 1049], "depend": [72, 118, 268, 403, 404, 447, 470, 473, 567, 593, 596, 602, 638, 886, 887, 936, 938, 1049, 1057], "host": [72, 101, 106, 110, 114, 116], "git": 72, "lazy_fram": 73, "comm_subplan_elim": [73, 656, 661, 663, 689, 699, 734], "comm_subexpr_elim": [73, 292, 638, 656, 661, 663, 689, 699, 734], "graph": [73, 174, 254, 673, 713, 734], "parallel": [73, 74, 99, 103, 110, 116, 158, 173, 174, 186, 254, 309, 410, 638, 649, 670, 675, 676, 718, 734, 784, 893, 1049], "threadpool": [73, 128], "Will": [73, 656, 661, 663, 689, 699, 734, 1049], "try": [73, 85, 87, 101, 102, 105, 106, 110, 112, 114, 116, 656, 661, 663, 689, 699, 734], "branch": [73, 656, 661, 663, 689, 699, 734], "subplan": [73, 656, 661, 663, 689, 699, 734], "union": [73, 74, 656, 661, 663, 689, 699, 734, 737], "subexpress": [73, 656, 661, 663, 689, 699, 734], "reus": [73, 656, 661, 663, 689, 699, 734], "part": [73, 90, 124, 516, 530, 531, 656, 661, 663, 689, 699, 713, 734, 986, 1000, 1001], "fashion": [73, 172, 254, 656, 661, 663, 689, 699, 734], "item": [74, 102, 195, 198, 254, 365, 406, 413, 416, 492, 531, 638, 844, 889, 896, 899, 957, 1001, 1049], "iter": [74, 125, 127, 134, 157, 158, 159, 170, 171, 185, 195, 196, 197, 200, 201, 207, 221, 222, 231, 233, 234, 254, 309, 363, 464, 505, 563, 564, 565, 566, 572, 575, 576, 577, 578, 584, 585, 592, 605, 606, 609, 610, 618, 621, 622, 623, 638, 652, 669, 670, 671, 695, 696, 701, 706, 712, 716, 734, 784, 1049, 1057], "polarstyp": 74, "concatmethod": 74, "vertic": [74, 146, 225, 229, 254, 508, 978], "rechunk": [74, 90, 95, 101, 102, 106, 110, 112, 114, 115, 116, 146, 254, 638, 743, 772, 845, 925, 1049], "combin": [74, 85, 87, 158, 159, 160, 173, 227, 254, 265, 279, 341, 352, 463, 521, 527, 533, 587, 638, 670, 671, 676, 699, 734, 821, 825, 832, 991, 997, 1003], "concaten": [74, 152, 186, 254, 466, 577, 578, 638, 688, 734, 772, 925, 1049], "diagon": [74, 222, 254], "vstack": [74, 146, 254], "vertical_relax": 74, "coerc": [74, 476, 638], "equal": [74, 75, 101, 102, 112, 119, 120, 134, 153, 158, 173, 180, 221, 254, 292, 358, 359, 376, 398, 429, 461, 476, 481, 482, 483, 484, 485, 486, 488, 489, 490, 519, 520, 526, 542, 616, 617, 638, 652, 670, 676, 685, 701, 706, 734, 912, 946, 947, 948, 949, 950, 951, 953, 954, 955, 959, 989, 990, 996, 1012, 1049, 1057], "supertyp": [74, 148, 254, 267, 638, 665, 734], "find": [74, 150, 254, 493, 638, 958, 1049], "miss": [74, 101, 102, 112, 147, 254, 285, 360, 361, 362, 374, 389, 391, 638, 664, 734, 840, 841, 842, 1039, 1049], "stack": [74, 163, 229, 254], "don": [74, 133, 223, 225, 254, 268, 292, 309, 410, 464, 470, 567, 638, 707, 734, 737, 744, 784, 893, 936, 959, 1039, 1049], "auto": [74, 90, 92, 93, 94, 96, 108, 109, 110, 116, 222, 254, 734, 1057], "logic": [74, 133, 236, 254, 268, 553, 567, 638, 668, 675, 691, 715, 718, 734, 744, 1032, 1049], "align_fram": 74, "pattern": [74, 101, 102, 112, 114, 115, 116, 170, 254, 445, 509, 510, 515, 516, 524, 525, 718, 737, 960, 961, 979, 980, 985, 986, 994, 995, 1049], "collis": 74, "need": [74, 97, 101, 102, 103, 105, 119, 120, 158, 159, 197, 205, 217, 254, 429, 439, 497, 519, 537, 612, 615, 630, 638, 670, 671, 734, 966, 989, 1007, 1049], "sure": [74, 90, 95, 101, 102, 106, 110, 158, 159, 190, 254, 670, 671, 734], "contigu": [74, 90, 95, 101, 102, 106, 110, 112, 114, 115, 116, 190, 254], "relev": 74, "df_h1": 74, "l1": 74, "l2": 74, "df_h2": 74, "r1": 74, "r2": 74, "r3": 74, "df_d1": 74, "df_d2": 74, "df_a1": 74, "df_a2": 74, "df_a3": 74, "disabl": [75, 129, 170, 254], "encount": [76, 158, 254, 458, 459, 517, 518, 579, 582, 594, 638, 670, 734, 928, 929, 987, 988, 1049], "least": [82, 124, 465, 559, 638, 932, 1037, 1049], "unexpect": [83, 254, 268, 437, 638, 744, 1049], "caus": [83, 91, 101, 102, 112, 132, 146, 254, 743, 845, 1049], "panic": 83, "mismatch": [85, 109], "incompat": 87, "pa": [90, 117], "chunkedarrai": [90, 182, 254, 788, 1049], "recordbatch": [90, 171, 254], "schemadefinit": [90, 92, 93, 94, 96, 108, 109, 254, 734], "schema_overrid": [90, 92, 93, 94, 95, 96, 108, 109, 171, 217, 254, 284, 734, 737, 759], "copi": [90, 91, 132, 135, 136, 171, 212, 217, 218, 231, 254, 366, 542, 638, 654, 655, 712, 734, 773, 777, 790, 846, 1012, 1025, 1030, 1031, 1049], "closest": 90, "pair": [90, 92, 93, 94, 96, 108, 109, 123, 191, 254, 692, 734, 1057], "sever": [90, 92, 93, 94, 96, 108, 109, 254, 734, 1057], "wai": [90, 92, 93, 94, 96, 108, 109, 140, 157, 171, 186, 207, 234, 254, 464, 466, 505, 515, 576, 638, 658, 669, 688, 701, 716, 718, 734, 985], "form": [90, 92, 93, 94, 96, 108, 109, 170, 196, 225, 254, 465, 638, 734, 932, 1049], "them": [90, 92, 93, 94, 96, 108, 109, 112, 146, 158, 159, 173, 180, 227, 254, 383, 416, 458, 459, 464, 577, 638, 670, 671, 676, 685, 734, 737, 743, 845, 899, 928, 929, 1049], "dimens": [90, 92, 94, 96, 108, 109, 254, 477, 638, 734, 942, 1049], "allow_copi": [91, 132], "interchang": [91, 132], "__dataframe__": 91, "convers": [91, 132, 170, 171, 196, 197, 214, 218, 254, 534, 535, 536, 539, 587, 649, 1004, 1005, 1006, 1009, 1029, 1030, 1031, 1049], "detail": [91, 103, 119, 120, 132, 254, 734, 1057], "latest": [91, 104, 113, 132, 344, 352, 374, 448, 638, 824, 832], "runtimeerror": 91, "from_panda": [91, 105], "from_arrow": 91, "effici": [91, 171, 254], "clone": [92, 93, 94, 95, 96, 135, 217, 218, 254, 654, 734, 773, 1029, 1030, 1031, 1039, 1049], "dimension": [92, 94, 96, 217, 254, 734, 1049], "infer_schema_length": [93, 96, 101, 102, 105, 112, 115, 254, 517, 734, 987], "NOT": [93, 119, 120, 446, 1056], "typic": [93, 133, 254, 324, 737, 744, 800, 1049], "clearer": 93, "load": [93, 95, 104, 113, 125, 127, 254, 649, 672, 679, 734, 1057], "_partial_": [93, 254, 734], "omit": [93, 97, 122, 124, 126, 130, 183, 197, 254, 626, 627, 737], "mani": [93, 96, 103, 146, 254, 517, 743, 845, 987, 1049], "scan": [93, 96, 101, 102, 110, 112, 113, 114, 115, 116, 117, 158, 159, 254, 663, 670, 671, 672, 679, 734], "slow": [93, 96, 101, 102, 112, 268, 309, 638, 718, 784, 1049], "partial": 93, "present": [93, 119, 124, 387, 638, 1039, 1049], "np": [94, 149, 217, 254, 549, 638, 734, 864, 868, 870, 871, 946, 1020, 1049], "ndarrai": [94, 149, 217, 254, 549, 638, 734, 788, 958, 961, 1020, 1030, 1049], "numpi": [94, 118, 138, 170, 196, 197, 214, 217, 218, 254, 458, 459, 638, 734, 864, 868, 870, 871, 928, 929, 946, 1030, 1031, 1039, 1049], "columnar": [94, 96, 170, 196, 254], "interpret": [94, 96, 101, 102, 112, 254, 734], "yield": [94, 96, 101, 102, 112, 144, 146, 222, 254, 464, 638, 734, 743, 839, 845, 1049], "conclus": [94, 96, 254, 734], "nan_to_nul": [95, 254, 734, 1049], "include_index": 95, "pd": [95, 105, 553, 638, 1031, 1032, 1049], "panda": [95, 105, 118, 158, 218, 254, 337, 338, 553, 638, 670, 734, 817, 818, 1031, 1032, 1049], "instal": [95, 101, 102, 103, 106, 110, 118, 138, 217, 218, 254, 699, 734, 1031, 1049], "nan": [95, 119, 120, 124, 132, 147, 218, 254, 314, 315, 358, 359, 367, 376, 377, 382, 389, 391, 392, 393, 398, 436, 440, 453, 458, 459, 460, 461, 555, 579, 638, 664, 734, 746, 750, 789, 847, 870, 871, 928, 929, 946, 1030, 1031, 1049, 1057], "convert": [95, 104, 105, 113, 132, 213, 214, 215, 216, 217, 220, 254, 311, 319, 348, 351, 429, 438, 472, 523, 534, 535, 536, 537, 539, 638, 734, 795, 828, 831, 912, 993, 1004, 1005, 1006, 1007, 1009, 1017, 1028, 1029, 1030, 1031, 1039, 1049], "pd_df": 95, "pd_seri": 95, "tbl": [97, 99, 102], "reconstruct": 97, "repr": [97, 124, 126], "trim": 97, "whitespac": [97, 521, 527, 533, 991, 997, 1003], "prompt": 97, "extract": [97, 320, 322, 323, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 339, 340, 342, 343, 346, 347, 349, 353, 354, 356, 466, 516, 517, 518, 638, 796, 797, 798, 799, 802, 803, 805, 809, 810, 811, 812, 814, 815, 816, 819, 820, 822, 823, 826, 827, 829, 833, 834, 836, 986, 987, 988], "to_init_repr": [97, 254, 1049], "truncat": [97, 158, 170, 196, 197, 214, 254, 341, 670, 689, 734, 821], "identifi": [97, 179, 185, 223, 254, 684, 707, 734], "compound": [97, 197, 254, 737], "struct": [97, 183, 200, 220, 224, 231, 254, 310, 429, 439, 470, 479, 480, 517, 530, 531, 559, 582, 583, 585, 604, 638, 695, 708, 712, 718, 734, 785, 912, 936, 944, 987, 998, 1000, 1001, 1049], "neither": [97, 105, 198, 254, 429, 912], "source_ac": 97, "source_cha": 97, "ident": [97, 135, 136, 254, 348, 479, 480, 638, 654, 655, 734, 773, 777, 828, 944, 945, 1049], "timestamp": [97, 344, 596, 824], "tor_id": 97, "nnel_id": 97, "\u03bc": [97, 124, 158, 159, 170, 173, 196, 197, 214, 227, 254, 316, 317, 318, 319, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 333, 334, 335, 336, 337, 338, 340, 341, 342, 343, 344, 345, 346, 347, 348, 350, 351, 352, 353, 354, 355, 356, 482, 483, 485, 488, 489, 490, 534, 536, 587, 590, 596, 638, 670, 671, 676, 734, 737, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 829, 830, 832, 833, 834, 835, 836, 1004, 1006], "asia": [97, 737, 796, 797, 829], "tokyo": [97, 737], "123456780": 97, "9876543210": 97, "56": [97, 551, 638], "59": [97, 123, 318, 334, 346, 589, 625, 626, 627, 737, 794, 814, 826], "663053": 97, "jst": [97, 737], "803065983": 97, "2055938745": 97, "38": [97, 124], "18": [97, 159, 180, 254, 308, 345, 352, 355, 382, 395, 534, 536, 569, 587, 626, 638, 671, 685, 689, 734, 737, 743, 835, 1004, 1006, 1049], "050545": 97, "source_actor_id": 97, "source_channel_id": 97, "sr": 97, "to_list": [97, 159, 254, 671, 734, 979, 1049], "datatypeclass": 98, "uint32": [98, 118, 144, 254, 278, 322, 326, 330, 332, 334, 336, 339, 342, 343, 346, 353, 354, 403, 404, 418, 476, 510, 519, 522, 549, 553, 638, 737, 754, 766, 798, 802, 809, 811, 814, 816, 819, 822, 823, 826, 833, 834, 839, 869, 886, 887, 901, 959, 980, 989, 992, 1032, 1049], "regular": [98, 170, 195, 196, 227, 254, 363, 509, 510, 515, 516, 524, 525, 576, 592, 605, 609, 622, 638, 737, 979, 980, 985, 986, 994, 995], "uint64": [98, 160, 254, 378, 403, 404, 475, 638, 854, 886, 887, 940, 1049], "bigidx": 98, "read": [99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 146, 254, 375, 437, 629, 638, 663, 668, 691, 734, 743, 845, 1049], "batch": [99, 102, 115, 680, 734], "over": [99, 101, 102, 104, 112, 124, 133, 146, 170, 171, 195, 196, 197, 222, 233, 236, 254, 268, 309, 368, 437, 438, 470, 473, 481, 482, 483, 484, 485, 486, 488, 489, 490, 567, 582, 583, 594, 604, 614, 638, 718, 737, 743, 744, 784, 845, 946, 947, 948, 950, 954, 1049], "fetch": [99, 112, 174, 254, 654, 656, 672, 679, 734], "ideal": 99, "read_csv_batch": [99, 650], "tpch": [99, 102], "tables_scale_100": [99, 102], "lineitem": [99, 102, 103], "try_parse_d": [99, 101, 102, 112], "n_row": [100, 101, 102, 106, 110, 112, 114, 115, 116, 171, 254, 663, 734], "accept": [100, 101, 102, 104, 106, 110, 134, 145, 157, 200, 207, 221, 231, 234, 254, 261, 363, 383, 464, 505, 562, 563, 564, 565, 566, 572, 575, 576, 577, 578, 584, 585, 592, 605, 606, 609, 610, 618, 621, 622, 623, 638, 652, 662, 669, 695, 701, 706, 712, 716, 734, 860, 1049], "stop": [100, 101, 102, 106, 110, 112, 114, 115, 116, 322, 325, 326, 328, 329, 334, 336, 342, 343, 345, 346, 350, 352, 353, 354, 356, 482, 483, 485, 488, 489, 490, 638, 793, 795, 798, 801, 802, 804, 809, 811, 814, 816, 819, 822, 823, 825, 826, 830, 832, 833, 834, 835, 836], "textio": 101, "new_column": [101, 102, 105, 112, 192, 254], "comment_char": [101, 102, 112], "quote_char": [101, 102, 112], "skip_row": [101, 102, 112], "missing_utf8_is_empty_str": [101, 102, 112], "ignore_error": [101, 102, 109, 112], "n_thread": [101, 102], "8192": 101, "csvencod": [101, 102, 112], "low_memori": [101, 102, 110, 112, 115, 116], "skip_rows_after_head": [101, 102, 112], "row_count_nam": [101, 102, 106, 110, 112, 114, 115, 116], "row_count_offset": [101, 102, 106, 110, 112, 114, 115, 116], "sample_s": [101, 102], "eol_char": [101, 102, 112], "we": [101, 102, 105, 112, 158, 159, 173, 227, 254, 268, 341, 345, 352, 410, 437, 482, 483, 484, 485, 486, 488, 489, 490, 523, 603, 629, 638, 670, 671, 676, 680, 734, 744, 821, 825, 832, 856, 893, 993, 1049], "handler": [101, 102, 105], "g": [101, 102, 104, 105, 106, 110, 113, 114, 116, 158, 159, 173, 217, 225, 227, 254, 261, 268, 310, 341, 345, 352, 363, 470, 482, 483, 484, 485, 486, 488, 489, 490, 497, 592, 638, 670, 671, 676, 692, 734, 821, 825, 832, 959, 1030, 1049], "builtin": [101, 102, 105], "stringio": [101, 102], "fsspec": [101, 102, 106, 110, 113, 114, 116, 118], "remot": [101, 102, 106, 110], "autogener": [101, 102, 112], "column_x": [101, 102, 112], "enumer": [101, 102, 112, 171, 254], "shorter": [101, 102], "comment": [101, 102, 112], "instanc": [101, 102, 112, 124, 126, 130, 146, 152, 254, 293, 448, 482, 483, 484, 485, 486, 488, 489, 490, 582, 594, 638, 680, 714, 734, 743, 766, 845, 1049], "escap": [101, 102, 112], "dure": [101, 102, 112, 130, 146, 254, 743, 845, 1049], "would": [101, 102, 112, 278, 413, 447, 473, 572, 587, 638, 737, 753, 896, 938, 1030, 1049], "prefer": [101, 102, 104, 112, 127, 133, 146, 170, 195, 196, 236, 254, 268, 481, 638, 734, 743, 744, 845, 946, 1049, 1057], "treat": [101, 102, 112, 509, 524, 525, 979, 994, 995], "10000": [101, 171, 254, 542], "might": [101, 102, 112, 128, 134, 217, 221, 254, 268, 557, 638, 652, 701, 706, 734, 1031, 1049], "issu": 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"expens": [101, 102, 110, 112, 115, 116, 125, 127, 133, 158, 159, 170, 195, 196, 197, 222, 223, 254, 268, 638, 670, 671, 707, 734, 743, 744, 845, 1049, 1057], "aggreg": [101, 102, 110, 152, 157, 158, 159, 176, 177, 178, 181, 183, 187, 188, 189, 208, 209, 225, 228, 234, 235, 238, 240, 254, 262, 369, 380, 437, 464, 481, 482, 483, 484, 485, 486, 488, 489, 490, 559, 563, 564, 565, 566, 582, 583, 584, 585, 594, 599, 605, 606, 609, 610, 614, 622, 623, 638, 670, 671, 680, 681, 682, 683, 686, 687, 690, 702, 703, 710, 716, 717, 720, 722, 734, 857, 946, 947, 948, 950, 953, 954, 955, 1049], "nativ": [101, 106, 110, 122, 133, 170, 196, 197, 214, 236, 254, 268, 567, 638, 643, 718, 744, 1049, 1057], "parser": 101, "even": [101, 466, 470, 638, 936, 1049], "regard": [101, 579], "sens": [101, 106, 110, 114, 116, 180, 227, 254, 464, 638, 685, 734], "particular": [101, 106, 110, 114, 116, 144, 254, 839, 1049], "usernam": [101, 103, 106, 110, 114, 116], "password": [101, 103, 106, 110, 114, 116], "skip": [101, 102, 105, 110, 112, 116, 225, 254, 744, 1049], "offset": [101, 102, 106, 110, 112, 114, 115, 116, 158, 159, 206, 227, 232, 254, 316, 324, 337, 338, 341, 345, 352, 424, 503, 528, 534, 536, 587, 588, 638, 670, 671, 700, 714, 734, 792, 800, 817, 818, 821, 825, 832, 907, 973, 998, 1004, 1006, 1049], "row_count": [101, 102, 106, 110, 112, 114, 115, 116], "sampl": [101, 102, 236, 254, 502, 638, 718, 972, 1049], "estim": [101, 102, 144, 254, 269, 361, 362, 396, 568, 638, 734, 839, 841, 842, 880, 1049], "alloc": [101, 102, 144, 190, 254, 839, 1049], "lazili": [101, 102, 112, 113, 114, 115, 116, 439, 638], "glob": [101, 102, 112, 114, 115, 116], "continu": [101, 110, 310, 470, 502, 638, 785, 936, 972, 1049], "benchmark": [101, 110], "50000": 102, "batchedcsvread": [102, 649], "upon": 102, "creation": 102, "gather": 102, "next_batch": 102, "big": 102, "interest": 102, "seen_group": 102, "big_fil": 102, "df_current_batch": 102, "concat": [102, 772, 925, 1049], "partition_df": 102, "partition_bi": [102, 171, 254], "as_dict": [102, 185, 254], "fh": 102, "write_csv": [102, 112, 254], "els": [102, 629], "partition_on": 103, "partition_rang": 103, "partition_num": 103, "dbreadengin": 103, "connectorx": [103, 118], "raw": 103, "driver": 103, "snowflak": 103, "warehous": 103, "role": 103, "partit": [103, 104, 110, 113, 117, 171, 185, 254], "transfer": 103, "document": [103, 105, 348, 351, 518, 534, 535, 536, 539, 828, 831, 988, 1004, 1005, 1006, 1009], "redshift": 103, "mysql": 103, "mariadb": 103, "clickhous": 103, "oracl": 103, "bigqueri": 103, "pleas": [103, 158, 254, 670, 734], "doc": [103, 138, 254], "github": 103, "sfu": 103, "connector": 103, "destin": 103, "small": [103, 123, 174, 254, 345, 663, 734, 1057], "still": 103, "develop": [103, 124, 126], "partition_col": 103, "explicitli": [103, 122, 124, 130, 439, 621, 638, 648], "test_tabl": 103, "compani": 103, "testdb": 103, "public": [103, 254, 638, 649, 734, 1049], "myrol": 103, "delta_table_opt": [104, 113], "root": [104, 113, 296, 395, 438, 449, 468, 506, 546, 637, 638, 770, 975, 1049], "absolut": [104, 113, 119, 120, 260, 360, 361, 362, 638, 739, 840, 841, 842, 1049], "sinc": [104, 113, 134, 221, 254, 292, 325, 534, 536, 569, 587, 596, 615, 626, 638, 652, 701, 706, 734, 743, 801, 1004, 1006, 1049], "avoid": [104, 196, 254, 263, 638], "year": [104, 113, 158, 159, 173, 227, 254, 328, 329, 341, 342, 345, 352, 353, 482, 483, 484, 485, 486, 488, 489, 490, 586, 587, 589, 638, 670, 671, 676, 734, 804, 805, 821, 822, 825, 832, 833], "2021": [104, 113, 139, 156, 158, 227, 254, 534, 603, 670, 734, 737, 796, 797, 805, 829, 876, 1004, 1049], "aw": [104, 113], "googl": [104, 113], "service_account": [104, 113], "service_account_json_absolute_path": [104, 113], "az": [104, 113], "adl": [104, 113], "abf": [104, 113], "azure_storage_account_nam": [104, 113], "azure_storage_account_kei": [104, 113], "without_fil": [104, 113], "track": [104, 113, 133, 254, 429, 1056], "sheet_id": 105, "sheet_nam": 105, "xlsx2csv_option": 105, "read_csv_opt": 105, "noreturn": 105, "xlsx2csv": [105, 118], "read_csv": [105, 112], "nor": [105, 198, 254], "skip_empty_lin": 105, "my": [105, 117, 540, 1010], "datasheet": 105, "correct": [105, 361, 362, 396, 487, 502, 638, 680, 734, 841, 842, 880, 952, 972, 1049], "look": [105, 286, 429, 760], "whole": [105, 504, 505, 515, 638, 718, 734, 985], "With": [105, 133, 169, 254, 268, 482, 483, 484, 485, 486, 488, 489, 490, 638, 744, 879, 1049], "1000": [105, 144, 216, 254, 330, 331, 542, 810, 1028, 1049, 1057], "spreadsheet": [105, 187, 254], "xl": 105, "xlsm": 105, "xlsb": 105, "odf": 105, "od": 105, "odt": 105, "memory_map": [106, 110, 114], "v2": [106, 114], "greatli": [106, 114], "repeat": [106, 114, 310, 470, 474, 476, 612, 630, 638], "give": [106, 110, 114, 115, 116, 179, 223, 254, 325, 396, 476, 555, 638, 649, 684, 707, 734, 801, 880, 1049], "That": [106, 680, 734], "filenam": 106, "my_fil": 106, "write_ipc": [106, 254], "read_ndjson": 108, "becaus": [109, 133, 144, 158, 174, 225, 236, 254, 410, 492, 498, 587, 638, 670, 718, 734, 744, 839, 893, 1049], "parallelstrategi": [110, 116], "use_statist": [110, 116], "awar": [110, 170, 196, 197, 214, 254, 534, 536, 1004, 1006], "stabl": [110, 134, 138, 198, 221, 254, 434, 638, 652, 684, 701, 706, 734], "row_group": [110, 116], "read_tabl": 110, "with_column_nam": 112, "push": [112, 114, 115, 116, 117], "down": [112, 114, 115, 116, 117, 372, 638, 851, 1049], "therebi": [112, 114, 115, 116], "potenti": [112, 114, 115, 116, 170, 195, 197, 254], "overhead": [112, 114, 115, 116], "realloc": [112, 114, 115, 146, 254, 743, 845, 1049], "headerless": 112, "unlik": [112, 158, 254, 670, 734], "fewer": [112, 470, 638, 936, 1049], "my_long_fil": 112, "doesn": [112, 158, 254, 292, 357, 638, 670, 734, 838, 1039, 1049], "thing": [112, 593, 602], "less": [112, 173, 254, 398, 436, 520, 526, 531, 542, 638, 676, 734, 990, 996, 1001, 1012, 1057], "breezah": 112, "languag": [112, 158, 159, 173, 227, 254, 341, 345, 352, 482, 483, 484, 485, 486, 488, 489, 490, 638, 670, 671, 676, 734, 821, 825, 832], "hard": [112, 680, 734], "mydf": 112, "lambda": [112, 133, 152, 186, 236, 254, 268, 360, 361, 362, 429, 437, 438, 481, 567, 582, 583, 594, 604, 614, 638, 680, 688, 718, 734, 744, 840, 841, 842, 912, 1049], "lower": [112, 158, 189, 246, 254, 298, 300, 383, 435, 438, 471, 475, 486, 569, 587, 588, 600, 601, 613, 626, 627, 638, 663, 670, 690, 728, 734, 776, 860, 918, 937, 940, 951, 1036, 1049], "simpli": [112, 464, 582, 594, 638], "idx": [112, 158, 171, 254, 429, 670, 734, 912, 961, 1049], "uint16": [112, 307, 308, 547, 638, 737, 782, 783, 1018, 1049], "u16": [112, 124, 1057], "eu": 113, "central": [113, 396, 502, 638, 880, 972, 1049], "allow_pyarrow_filt": 117, "comparison": 117, "dset": 117, "folder": 117, "05": [117, 119, 120, 124, 173, 227, 254, 318, 319, 323, 344, 346, 348, 351, 587, 676, 734, 737, 794, 795, 796, 797, 798, 799, 824, 825, 828, 829, 831, 832, 834], "04": [117, 158, 227, 254, 318, 319, 323, 327, 334, 335, 336, 337, 338, 344, 345, 346, 347, 348, 351, 353, 355, 534, 587, 590, 670, 734, 737, 795, 799, 803, 809, 811, 814, 815, 816, 817, 818, 819, 823, 824, 826, 827, 828, 831, 833, 834, 835, 1004], "stdout": [118, 130, 156, 254, 450], "17": [118, 124, 234, 491, 596, 615, 626, 638, 716, 778, 825, 1049, 1057], "platform": 118, "linux": 118, "90": [118, 537, 1007], "wsl2": 118, "x86_64": 118, "glibc2": 118, "main": 118, "apr": 118, "14": [118, 124, 133, 237, 238, 240, 241, 242, 243, 244, 245, 246, 247, 254, 316, 329, 382, 473, 626, 638, 719, 720, 722, 723, 724, 725, 726, 727, 728, 729, 737, 792, 825], "44": [118, 180, 254, 313, 638, 685, 734], "51": 118, "gcc": 118, "matplotlib": [118, 689, 699, 734], "check_dtyp": [119, 120], "check_exact": [119, 120], "rtol": [119, 120], "1e": [119, 120], "atol": [119, 120], "08": [119, 120, 124, 159, 254, 318, 345, 534, 587, 590, 671, 734, 737, 825, 832, 1004], "nans_compare_equ": [119, 120], "check_column_ord": 119, "check_row_ord": 119, "assertionerror": [119, 120], "compar": [119, 120, 153, 254, 358, 359, 376, 377, 398, 436, 460, 461, 638, 959, 1049], "exactli": [119, 120, 123, 124, 126, 530, 531, 967, 1000, 1001, 1049], "toler": [119, 120, 173, 254, 676, 734], "inexact": [119, 120], "assert": [119, 120, 122, 124, 126, 159, 254, 649, 671, 734, 737, 853, 1049], "irrespect": 119, "unsort": 119, "check_nam": 120, "s1": [120, 152, 254, 879, 912, 1031, 1040, 1049], "searchstrategi": [121, 123, 124, 126], "null_prob": [121, 124, 126], "percentag": [121, 124, 126, 465, 638, 932, 1049], "chanc": [121, 124, 126, 1057], "independ": [121, 122, 124, 126], "flag": [121, 254, 494, 509, 515, 516, 524, 638, 661, 680, 734, 962, 979, 985, 986, 994, 1049], "hypothesi": [121, 122, 123, 124, 125, 126, 1057], "sampled_from": [121, 1057], "unique_small_int": 121, "ccy": [121, 1057], "gbp": [121, 1057], "eur": [121, 139, 156, 254, 1057], "jpy": [121, 1057], "min_col": [122, 124], "max_col": [122, 124], "standalon": [122, 124], "mincol": 122, "assign": [122, 158, 254, 310, 429, 464, 470, 473, 530, 531, 638, 670, 734, 785, 912, 919, 936, 938, 1000, 1001, 1049], "exact": [122, 124, 126, 205, 254, 534, 535, 536, 555, 638, 1004, 1005, 1006], "especi": [122, 480, 638, 945, 1049], "test_unique_xyz": 122, "assert_someth": 122, "punctuat": 122, "test_special_char_colname_init": 122, "inner_dtyp": [123, 126], "select_from": [123, 126], "min_siz": [123, 124, 126, 1057], "max_siz": [123, 124, 126, 1057], "anoth": [123, 157, 254, 309, 317, 428, 443, 446, 638, 669, 713, 734, 784, 793, 845, 911, 959, 1049], "randomli": 123, "innermost": 123, "2x": 123, "lst": 123, "11330": 123, "24030": 123, "116": 123, "zz": [123, 126], "uint8_pair": [123, 1057], "uint": [123, 1057], "zip": [123, 1057], "131": 123, "176": 123, "149": [123, 1057], "max_data_s": [124, 126], "include_col": 124, "allow_infin": [124, 126], "allowed_dtyp": [124, 126, 1057], "excluded_dtyp": [124, 126], "describ": [124, 156, 254, 1049], "desir": [124, 429, 587, 588, 912], "n_chunk": [124, 126, 254, 743, 845, 1049], "randomis": 124, "onto": 124, "pct": 124, "preced": [124, 737], "disallow": [124, 126], "inf": [124, 126, 275, 310, 385, 388, 470, 555, 638, 750, 785, 856, 864, 868, 918, 932, 936, 1036, 1049], "exclud": [124, 126, 305, 308, 383, 576, 638, 860, 876, 1049], "deploi": [124, 126], "characterist": [124, 126], "concret": [124, 126], "test_repr": 124, "isinst": [124, 126, 254], "0x11f561580": 124, "known": [124, 429, 718, 912], "0565": 124, "34715": 124, "5844": 124, "33": [124, 180, 254, 491, 576, 638, 685, 734, 951, 1049], "076854": 124, "3382": 124, "48662": 124, "7540": 124, "29": [124, 158, 159, 173, 227, 254, 316, 337, 341, 345, 352, 482, 483, 484, 485, 486, 488, 489, 490, 638, 670, 671, 676, 734, 792, 817, 821, 825, 832], "836271": 124, "4063": 124, "06": [124, 227, 254, 318, 329, 343, 344, 356, 737, 824, 825, 834], "39092": 124, "1889": 124, "13": [124, 135, 136, 147, 148, 155, 159, 164, 174, 182, 231, 237, 238, 240, 241, 242, 243, 244, 245, 246, 247, 254, 263, 481, 537, 577, 582, 585, 594, 623, 628, 638, 654, 655, 664, 665, 671, 678, 712, 719, 720, 722, 723, 724, 725, 726, 727, 728, 729, 734, 744, 825, 832, 833, 1007, 1049], "41": [124, 489, 638, 1057], "874455": 124, "15836": 124, "1755e": 124, "575050513": 124, "profil": [125, 127, 734], "balanc": [125, 127, 1057], "set_environ": 125, "polars_hypothesis_profil": [125, 127], "1500": 125, "constructor": 126, "normal": [126, 158, 254, 357, 396, 502, 638, 670, 734, 838, 880, 972, 1049], "test_repr_is_valid_str": 126, "experi": 126, "create_list_strategi": [126, 1057], "polars_max_thread": 128, "behind": 128, "lock": 128, "reason": 128, "pyspark": 128, "udf": [128, 133, 186, 236, 254, 268, 466, 567, 638, 688, 718, 734, 744, 1049], "similar": [128, 152, 173, 254, 348, 351, 464, 480, 629, 638, 676, 734, 828, 831, 945, 1049], "recommend": [128, 170, 186, 254, 587, 737], "initi": [130, 582, 594, 629], "whatev": 130, "were": 130, "enter": 130, "advantag": [130, 186, 254], "initialis": [130, 734, 1056], "set_": 130, "set_verbos": 130, "do_various_th": 130, "restor": 130, "cleaner": 130, "breviti": 130, "vein": 130, "durat": [130, 173, 227, 254, 316, 323, 324, 327, 331, 333, 335, 340, 347, 352, 355, 553, 587, 588, 626, 627, 638, 676, 734, 737, 792, 799, 800, 803, 810, 812, 815, 820, 827, 832, 835, 1032, 1049], "set_ascii_t": 130, "write_ascii_frame_to_stdout": 130, "sy": 130, "nan_as_nul": 132, "_pyarrowdatafram": 132, "nullabl": 132, "extens": [132, 218, 254, 1031, 1049], "propag": [132, 177, 209, 254, 359, 458, 459, 461, 638, 928, 929, 1049], "inference_s": [133, 254], "256": [133, 254, 932, 1049], "much": [133, 225, 236, 254, 268, 309, 428, 567, 638, 718, 744, 784, 911, 1049], "almost": [133, 236, 254, 534, 535, 536, 587, 744, 1004, 1005, 1006, 1049], "_significantly_": [133, 236, 254, 744, 1049], "intens": [133, 236, 254, 464, 638, 744, 1049], "forc": [133, 173, 236, 254, 675, 676, 718, 734, 744, 1049], "materi": [133, 236, 254, 689, 718, 734, 737, 744, 1049], "parallelis": [133, 236, 254, 744, 1049], "optimis": [133, 197, 236, 254, 734, 744, 960, 961, 1049], "achiev": [133, 236, 254, 268, 638, 744, 1049], "best": [133, 236, 254, 268, 638, 744, 1049], "tri": [133, 254], "arbitrarili": [133, 254], "rearrang": [133, 254], "transform": [133, 254, 437, 538, 540, 541, 638], "preserv": [133, 157, 217, 218, 254, 499, 638, 969, 1031, 1049], "lru_cach": [133, 254, 268, 638, 744, 1049], "magnitud": [133, 254, 268, 638, 744, 1049], "column_1": [133, 222, 254], "better": [133, 217, 236, 254, 268, 559, 638, 718, 960, 961, 1049], "scalar": [133, 169, 195, 254, 493, 567, 603, 638, 879, 958, 1049], "k": [134, 197, 221, 254, 291, 295, 396, 554, 638, 652, 706, 734, 765, 769, 880, 1033, 1049], "intoexpr": [134, 157, 158, 159, 200, 207, 221, 231, 234, 254, 267, 383, 407, 409, 415, 430, 464, 496, 505, 563, 564, 565, 566, 569, 572, 575, 577, 578, 582, 584, 585, 587, 588, 594, 600, 601, 605, 606, 609, 610, 615, 618, 621, 622, 623, 626, 627, 629, 638, 652, 666, 669, 670, 671, 695, 701, 706, 712, 716, 734, 860, 1049], "nulls_last": [134, 207, 221, 254, 278, 504, 638, 652, 701, 706, 734, 753, 1049], "smallest": [134, 221, 254, 291, 638, 652, 706, 734, 765, 1049], "largest": [134, 158, 159, 173, 221, 227, 254, 341, 345, 352, 482, 483, 484, 485, 486, 488, 489, 490, 554, 638, 652, 670, 671, 676, 706, 734, 821, 825, 832, 1033, 1049], "last": [134, 161, 173, 175, 187, 197, 207, 210, 221, 223, 248, 254, 278, 309, 322, 337, 342, 353, 395, 413, 427, 468, 504, 531, 546, 548, 587, 624, 638, 652, 676, 701, 704, 706, 707, 730, 734, 737, 753, 784, 798, 817, 822, 833, 855, 882, 896, 910, 1001, 1019, 1049], "wors": [134, 221, 254, 652, 701, 706, 734], "search": [134, 173, 221, 254, 652, 676, 701, 706, 734], "top_k": [134, 254, 291, 638, 652, 734, 765, 1049], "greater": [135, 173, 254, 376, 377, 502, 531, 638, 676, 734, 972, 1001, 1049], "cheap": [135, 136, 254, 654, 655, 734, 743, 773, 777, 1049], "deepcopi": [135, 136, 254, 654, 655, 734, 773, 777, 1049], "clear": [136, 254, 655, 734, 777, 1049], "properti": [137, 143, 151, 162, 199, 202, 230, 254, 657, 660, 694, 711, 734, 737, 1057], "appl": [137, 163, 172, 191, 193, 213, 237, 238, 240, 241, 242, 243, 244, 245, 246, 247, 254, 478, 513, 532, 638, 675, 692, 719, 720, 722, 723, 724, 725, 726, 727, 728, 729, 734, 983, 1002], "banana": [137, 213, 237, 238, 240, 241, 242, 243, 244, 245, 246, 247, 254, 478, 638, 719, 720, 722, 723, 724, 725, 726, 727, 728, 729], "pairwis": [138, 254], "pearson": [138, 254, 396, 502, 579, 638, 880, 972, 1049], "correl": [138, 254, 579, 616], "coeffici": [138, 254, 502, 638, 972, 1049], "corrcoef": [138, 254], "percentil": [139, 254, 786, 1049], "summari": [139, 254, 786, 1049], "glimps": [139, 161, 254], "usd": [139, 156, 254, 1057], "2020": [139, 156, 159, 254, 319, 323, 324, 327, 330, 331, 333, 335, 340, 344, 347, 348, 351, 352, 534, 535, 536, 671, 734, 737, 795, 799, 800, 803, 810, 812, 815, 820, 824, 827, 828, 831, 832, 1004, 1005, 1006], "null_count": [139, 142, 254, 309, 638, 734, 784, 786, 1049], "266667": [139, 254], "666667": [139, 177, 228, 242, 254, 360, 638, 710, 724, 734], "std": [139, 254, 481, 488, 638, 734, 786, 953, 1049], "101514": [139, 254], "707107": [139, 254, 361, 488, 638, 841, 1049], "57735": [139, 254], "median": [139, 187, 254, 368, 484, 638, 713, 734, 786, 949, 1049], "more_column": [140, 145, 201, 224, 254, 363, 592, 638, 658, 662, 696, 708, 734], "Or": [140, 157, 158, 159, 173, 207, 227, 234, 254, 464, 505, 576, 629, 638, 658, 669, 670, 671, 676, 701, 716, 734], "subset": [142, 183, 223, 254, 659, 707, 734], "snippet": [142, 254, 659, 734], "all_horizont": [142, 254, 563, 659, 734], "is_nul": [142, 254, 638, 659, 734, 1049], "sizeunit": [144, 254, 839, 1049], "heap": [144, 254, 839, 1049], "its": [144, 254, 318, 345, 352, 505, 638, 794, 825, 832, 839, 1049], "bitmap": [144, 254, 839, 1049], "therefor": [144, 254, 629, 839, 1049], "structarrai": [144, 254, 839, 1049], "constant": [144, 159, 254, 316, 366, 638, 671, 734, 792, 839, 846, 1049], "unchang": [144, 254, 553, 638, 680, 718, 734, 839, 1032, 1049], "capac": [144, 205, 254, 839, 967, 1049], "ffi": [144, 254, 839, 1049], "kb": [144, 254, 839, 1049], "mb": [144, 254, 839, 1049], "gb": [144, 254, 839, 1049], "tb": [144, 254, 839, 1049], "revers": [144, 254, 304, 305, 306, 307, 308, 438, 468, 546, 638, 734, 780, 781, 782, 783, 1049], "1_000_000": [144, 254, 839, 1049], "25888898": [144, 254], "689577102661133": [144, 254], "long": [145, 179, 225, 254, 662, 684, 734], "letter": [145, 239, 248, 254, 363, 516, 592, 638, 662, 721, 730, 734, 737, 986], "onlin": [146, 254, 743, 845, 1049], "rerun": [146, 254, 743, 845, 1049], "conveni": [146, 254, 743, 845, 1049], "evalu": [147, 149, 173, 254, 265, 279, 309, 381, 401, 402, 429, 439, 463, 563, 565, 569, 573, 587, 588, 591, 600, 601, 612, 615, 621, 626, 627, 629, 630, 638, 666, 673, 675, 676, 734, 754, 784, 884, 885, 1040, 1049], "Not": [147, 254, 389, 391, 439, 638, 664, 734], "To": [147, 254, 314, 315, 341, 368, 509, 515, 516, 524, 540, 622, 638, 664, 734, 821, 979, 985, 986, 994, 1010, 1030, 1049], "fillnullstrategi": [148, 254, 368, 638, 665, 734, 848, 1049], "matches_supertyp": [148, 254, 665, 734], "forward": [148, 173, 254, 337, 368, 374, 638, 665, 676, 734, 817, 848, 1049], "consecut": [148, 254, 285, 368, 374, 508, 638, 665, 734, 848, 978, 1049], "fill_nan": [148, 254, 638, 734, 1049], "OR": [149, 254, 565, 566, 666, 734, 737], "reduct": [152, 254], "supercast": [152, 254], "parent": [152, 254], "rule": [152, 254], "arithmet": [152, 254], "zip_with": [152, 254, 1049], "foo11": [152, 254], "bar22": [152, 254], "null_equ": [153, 254, 959, 1049], "retriev": [154, 254, 403, 404, 543, 886, 887, 1013], "return_as_str": [156, 254, 450], "preview": [156, 254], "wide": [156, 179, 225, 254, 684, 734], "nice": [156, 254], "few": [156, 254], "rather": [156, 173, 254, 450, 480, 542, 638, 676, 734, 945, 1012, 1049], "head": [156, 175, 210, 254, 267, 400, 638, 679, 734, 882, 1019, 1049], "tail": [156, 161, 254, 267, 502, 638, 734, 855, 972, 1049], "more_bi": [157, 185, 207, 254, 505, 638, 669, 701, 734], "consist": [157, 185, 254, 534, 669, 734, 743, 845, 1004, 1049], "regardless": [157, 254, 518, 988], "agg": [157, 158, 159, 254, 262, 268, 369, 371, 504, 505, 549, 561, 580, 638, 656, 661, 663, 669, 670, 671, 689, 699, 734, 737], "index_column": [158, 159, 254, 670, 671, 734], "timedelta": [158, 159, 227, 254, 322, 325, 326, 329, 334, 336, 341, 342, 343, 345, 346, 350, 352, 353, 354, 356, 482, 483, 484, 485, 486, 488, 489, 490, 587, 588, 626, 627, 638, 670, 671, 734, 737, 806, 808, 813, 821, 825, 832, 928, 929, 1049], "period": [158, 159, 203, 204, 254, 345, 352, 360, 361, 362, 423, 465, 495, 496, 587, 588, 626, 627, 638, 670, 671, 697, 698, 734, 825, 832, 840, 841, 842, 906, 932, 964, 965, 1049], "include_boundari": [158, 254, 670, 734], "closedinterv": [158, 159, 254, 383, 482, 483, 484, 485, 486, 488, 489, 490, 587, 588, 626, 627, 638, 670, 671, 734, 860, 1049], "start_bi": [158, 254, 670, 734], "startbi": [158, 254, 670, 734], "window": [158, 159, 254, 309, 345, 352, 360, 361, 362, 464, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 577, 616, 617, 638, 670, 671, 734, 784, 825, 832, 840, 841, 842, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 1049], "check_sort": [158, 159, 254, 670, 671, 734], "dynamicgroupbi": [158, 254], "groupbi": [158, 159, 183, 254, 262, 268, 309, 369, 371, 410, 464, 504, 505, 549, 561, 567, 580, 638, 656, 661, 663, 670, 671, 689, 699, 734, 737, 784, 893, 1049], "member": [158, 254, 670, 734, 867, 1049], "seen": [158, 254, 285, 374, 638, 670, 734], "roll": [158, 159, 254, 337, 338, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 577, 616, 617, 638, 670, 671, 734, 817, 818, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 1049], "slot": [158, 254, 309, 312, 408, 638, 670, 734, 784, 787, 891, 1049], "interv": [158, 159, 227, 254, 310, 328, 345, 346, 352, 383, 470, 482, 483, 484, 485, 486, 488, 489, 490, 587, 588, 626, 627, 638, 670, 671, 734, 785, 798, 801, 802, 804, 809, 811, 814, 816, 819, 822, 823, 825, 826, 830, 832, 833, 834, 836, 860, 936, 1049], "1n": [158, 159, 173, 227, 254, 341, 345, 352, 482, 483, 484, 485, 486, 488, 489, 490, 638, 670, 671, 676, 734, 821, 825, 832], "nanosecond": [158, 159, 173, 227, 254, 341, 345, 346, 352, 482, 483, 484, 485, 486, 488, 489, 490, 590, 638, 670, 671, 676, 734, 821, 825, 826, 832], "1u": [158, 159, 173, 227, 254, 341, 345, 352, 482, 483, 484, 485, 486, 488, 489, 490, 638, 670, 671, 676, 734, 821, 825, 832], "microsecond": [158, 159, 170, 173, 196, 197, 214, 227, 254, 341, 345, 346, 352, 482, 483, 484, 485, 486, 488, 489, 490, 589, 590, 625, 638, 670, 671, 676, 689, 734, 737, 821, 825, 832], "1m": [158, 159, 173, 227, 254, 330, 331, 333, 340, 341, 345, 347, 352, 482, 483, 484, 485, 486, 488, 489, 490, 638, 670, 671, 676, 734, 810, 812, 820, 821, 825, 827, 832], "millisecond": [158, 159, 173, 227, 254, 341, 345, 352, 482, 483, 484, 485, 486, 488, 489, 490, 590, 638, 670, 671, 676, 734, 737, 821, 825, 832], "minut": [158, 159, 173, 227, 254, 341, 345, 352, 482, 483, 484, 485, 486, 488, 489, 490, 589, 590, 625, 626, 638, 670, 671, 676, 734, 737, 821, 825, 832], "1h": [158, 159, 173, 227, 254, 324, 341, 345, 352, 482, 483, 484, 485, 486, 488, 489, 490, 626, 627, 638, 670, 671, 676, 734, 800, 802, 821, 825, 832], "hour": [158, 159, 173, 227, 254, 341, 345, 352, 482, 483, 484, 485, 486, 488, 489, 490, 587, 589, 590, 625, 626, 638, 670, 671, 676, 734, 737, 821, 825, 832], "1d": [158, 159, 173, 227, 254, 317, 327, 335, 341, 345, 352, 355, 482, 483, 484, 485, 486, 488, 489, 490, 587, 588, 603, 638, 670, 671, 676, 734, 737, 793, 801, 803, 806, 807, 808, 813, 815, 821, 825, 830, 832, 834, 835], "1w": [158, 159, 173, 227, 254, 341, 345, 352, 482, 483, 484, 485, 486, 488, 489, 490, 638, 670, 671, 676, 734, 821, 825, 832], "week": [158, 159, 173, 227, 254, 341, 345, 352, 354, 482, 483, 484, 485, 486, 488, 489, 490, 590, 638, 670, 671, 676, 734, 737, 821, 825, 832, 834], "1mo": [158, 159, 173, 227, 254, 319, 323, 337, 338, 341, 344, 345, 352, 482, 483, 484, 485, 486, 488, 489, 490, 587, 588, 638, 670, 671, 676, 734, 795, 799, 816, 817, 818, 821, 822, 823, 824, 825, 832, 833], "month": [158, 159, 173, 227, 254, 322, 337, 338, 341, 345, 352, 482, 483, 484, 485, 486, 488, 489, 490, 586, 587, 588, 589, 638, 670, 671, 676, 734, 798, 817, 818, 821, 825, 832], "1q": [158, 159, 173, 227, 254, 341, 345, 352, 482, 483, 484, 485, 486, 488, 489, 490, 638, 670, 671, 676, 734, 821, 825, 832], "quarter": [158, 159, 173, 227, 254, 341, 345, 352, 482, 483, 484, 485, 486, 488, 489, 490, 638, 670, 671, 676, 734, 821, 825, 832], "1y": [158, 159, 173, 227, 254, 328, 341, 345, 352, 482, 483, 484, 485, 486, 488, 489, 490, 587, 638, 670, 671, 676, 734, 804, 821, 825, 832, 836], "1i": [158, 159, 173, 227, 254, 341, 482, 483, 484, 485, 486, 488, 489, 490, 638, 670, 671, 676, 734, 821], "3d12h4m25": [158, 159, 173, 227, 254, 345, 352, 670, 671, 676, 734, 825, 832], "suffix": [158, 159, 172, 173, 200, 227, 231, 234, 254, 263, 289, 341, 345, 352, 389, 391, 392, 393, 438, 464, 468, 478, 482, 483, 484, 485, 486, 488, 489, 490, 513, 638, 670, 671, 675, 676, 695, 712, 713, 716, 734, 737, 763, 821, 825, 832, 983], "_satur": [158, 159, 173, 227, 254, 341, 345, 352, 482, 483, 484, 485, 486, 488, 489, 490, 587, 588, 638, 670, 671, 676, 734, 821, 825, 832], "satur": [158, 159, 173, 227, 254, 341, 345, 352, 482, 483, 484, 485, 486, 488, 489, 490, 638, 670, 671, 676, 734, 821, 825, 832], "28": [158, 159, 173, 213, 227, 254, 261, 341, 344, 345, 352, 355, 482, 483, 484, 485, 486, 488, 489, 490, 587, 638, 670, 671, 676, 734, 821, 824, 825, 832, 835, 1057], "correspond": [158, 159, 173, 217, 227, 254, 329, 341, 345, 352, 473, 480, 482, 483, 484, 485, 486, 488, 489, 490, 638, 670, 671, 676, 734, 805, 821, 825, 832, 938, 945, 1049], "due": [158, 159, 173, 197, 227, 254, 263, 293, 324, 341, 345, 352, 395, 468, 482, 483, 484, 485, 486, 488, 489, 490, 492, 498, 546, 638, 670, 671, 676, 734, 766, 800, 821, 825, 832, 1049], "daylight": [158, 159, 173, 227, 254, 316, 324, 341, 345, 352, 482, 483, 484, 485, 486, 488, 489, 490, 638, 670, 671, 676, 734, 800, 821, 825, 832], "10i": [158, 159, 254, 670, 671, 734], "ascend": [158, 159, 254, 670, 671, 734], "dynam": [158, 254, 429, 482, 483, 484, 485, 486, 488, 489, 490, 638, 670, 734, 912], "matter": [158, 159, 170, 196, 197, 214, 254, 670, 671, 734], "_lower_bound": [158, 254, 670, 734], "_upper_bound": [158, 254, 670, 734], "harder": [158, 254, 670, 734], "tempor": [158, 159, 170, 196, 197, 214, 254, 383, 482, 483, 484, 485, 486, 488, 489, 490, 638, 649, 670, 671, 734, 737, 860, 876, 1049], "inclus": [158, 159, 254, 383, 482, 483, 484, 485, 486, 488, 489, 490, 529, 530, 569, 587, 588, 600, 601, 626, 627, 638, 670, 671, 734, 860, 999, 1000, 1049], "datapoint": [158, 254, 670, 734], "mondai": [158, 254, 352, 354, 670, 734, 832, 834], "tuesdai": [158, 254, 670, 734], 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"polars.DataFrame.with_columns": [[231, "polars-dataframe-with-columns"]], "polars.dataframe.groupby.GroupBy.agg": [[234, "polars-dataframe-groupby-groupby-agg"]], "polars.DataFrame.upsample": [[227, "polars-dataframe-upsample"]], "polars.DataFrame.unnest": [[224, "polars-dataframe-unnest"]], "polars.dataframe.groupby.GroupBy.tail": [[248, "polars-dataframe-groupby-groupby-tail"]], "polars.Expr.abs": [[260, "polars-expr-abs"]], "polars.Expr.all": [[264, "polars-expr-all"]], "polars.Expr.and_": [[265, "polars-expr-and"]], "polars.DataFrame.to_numpy": [[217, "polars-dataframe-to-numpy"]], "polars.dataframe.groupby.GroupBy.head": [[239, "polars-dataframe-groupby-groupby-head"]], "polars.Expr.arctanh": [[275, "polars-expr-arctanh"]], "polars.DataFrame.transpose": [[222, "polars-dataframe-transpose"]], "polars.dataframe.groupby.GroupBy.n_unique": [[245, "polars-dataframe-groupby-groupby-n-unique"]], "polars.dataframe.groupby.GroupBy.quantile": [[246, 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"set_tbl_cols() (polars.config class method)": [[15, "polars.Config.set_tbl_cols"]], "set_tbl_column_data_type_inline() (polars.config class method)": [[16, "polars.Config.set_tbl_column_data_type_inline"]], "set_tbl_dataframe_shape_below() (polars.config class method)": [[17, "polars.Config.set_tbl_dataframe_shape_below"]], "set_tbl_formatting() (polars.config class method)": [[18, "polars.Config.set_tbl_formatting"]], "set_tbl_hide_column_data_types() (polars.config class method)": [[19, "polars.Config.set_tbl_hide_column_data_types"]], "set_tbl_hide_column_names() (polars.config class method)": [[20, "polars.Config.set_tbl_hide_column_names"]], "set_tbl_hide_dataframe_shape() (polars.config class method)": [[21, "polars.Config.set_tbl_hide_dataframe_shape"]], "set_tbl_hide_dtype_separator() (polars.config class method)": [[22, "polars.Config.set_tbl_hide_dtype_separator"]], "set_tbl_rows() (polars.config class method)": [[23, "polars.Config.set_tbl_rows"]], "set_tbl_width_chars() (polars.config class method)": [[24, "polars.Config.set_tbl_width_chars"]], "set_verbose() (polars.config class method)": [[25, "polars.Config.set_verbose"]], "state() (polars.config class method)": [[26, "polars.Config.state"]], "write_avro() (polars.dataframe method)": [[27, "polars.DataFrame.write_avro"]], "write_csv() (polars.dataframe method)": [[28, "polars.DataFrame.write_csv"]], "write_database() (polars.dataframe method)": [[29, "polars.DataFrame.write_database"]], "write_delta() (polars.dataframe method)": [[30, "polars.DataFrame.write_delta"]], "write_excel() (polars.dataframe method)": [[31, "polars.DataFrame.write_excel"]], "write_ipc() (polars.dataframe method)": [[32, "polars.DataFrame.write_ipc"]], "write_json() (polars.dataframe method)": [[33, "polars.DataFrame.write_json"]], "write_ndjson() (polars.dataframe method)": [[34, "polars.DataFrame.write_ndjson"]], "write_parquet() (polars.dataframe method)": [[35, "polars.DataFrame.write_parquet"]], "datatype (class in polars)": [[36, "polars.DataType"]], "__init__() (polars.datatype method)": [[36, "polars.DataType.__init__"]], "date (class in polars)": [[37, "polars.Date"]], "__init__() (polars.date method)": [[37, "polars.Date.__init__"]], "datetime (class in polars)": [[38, "polars.Datetime"]], "__init__() (polars.datetime method)": [[38, "polars.Datetime.__init__"]], "decimal (class in polars)": [[39, "polars.Decimal"]], "__init__() (polars.decimal method)": [[39, "polars.Decimal.__init__"]], "duration (class in polars)": [[40, "polars.Duration"]], "__init__() (polars.duration method)": [[40, "polars.Duration.__init__"]], "float32 (class in polars)": [[41, "polars.Float32"]], "__init__() (polars.float32 method)": [[41, "polars.Float32.__init__"]], "float64 (class in polars)": [[42, "polars.Float64"]], "__init__() (polars.float64 method)": [[42, "polars.Float64.__init__"]], "int16 (class in polars)": [[43, "polars.Int16"]], "__init__() (polars.int16 method)": [[43, "polars.Int16.__init__"]], "int32 (class in polars)": [[44, "polars.Int32"]], "__init__() (polars.int32 method)": [[44, "polars.Int32.__init__"]], "int64 (class in polars)": [[45, "polars.Int64"]], "__init__() (polars.int64 method)": [[45, "polars.Int64.__init__"]], "int8 (class in polars)": [[46, "polars.Int8"]], "__init__() (polars.int8 method)": [[46, "polars.Int8.__init__"]], "sink_ipc() (polars.lazyframe method)": [[47, "polars.LazyFrame.sink_ipc"]], "sink_parquet() (polars.lazyframe method)": [[48, "polars.LazyFrame.sink_parquet"]], "list (class in polars)": [[49, "polars.List"]], "__init__() (polars.list method)": [[49, "polars.List.__init__"]], "null (class in polars)": [[50, "polars.Null"]], "__init__() (polars.null method)": [[50, "polars.Null.__init__"]], "object (class in polars)": [[51, "polars.Object"]], "__init__() (polars.object method)": [[51, "polars.Object.__init__"]], "execute() (polars.sqlcontext method)": [[52, "polars.SQLContext.execute"]], "register() (polars.sqlcontext method)": [[53, "polars.SQLContext.register"]], "register_globals() (polars.sqlcontext method)": [[54, "polars.SQLContext.register_globals"]], "register_many() (polars.sqlcontext method)": [[55, "polars.SQLContext.register_many"]], "tables() (polars.sqlcontext method)": [[56, "polars.SQLContext.tables"]], "unregister() (polars.sqlcontext method)": [[57, "polars.SQLContext.unregister"]], "stringcache (class in polars)": [[58, "polars.StringCache"]], "__init__() (polars.stringcache method)": [[58, "polars.StringCache.__init__"]], "struct (class in polars)": [[59, "polars.Struct"]], "__init__() (polars.struct method)": [[59, "polars.Struct.__init__"]], "time (class in polars)": [[60, "polars.Time"]], "__init__() (polars.time method)": [[60, "polars.Time.__init__"]], "uint16 (class in polars)": [[61, "polars.UInt16"]], "__init__() (polars.uint16 method)": [[61, "polars.UInt16.__init__"]], "uint32 (class in polars)": [[62, "polars.UInt32"]], "__init__() (polars.uint32 method)": [[62, "polars.UInt32.__init__"]], "uint64 (class in polars)": [[63, "polars.UInt64"]], "__init__() (polars.uint64 method)": [[63, "polars.UInt64.__init__"]], "uint8 (class in polars)": [[64, "polars.UInt8"]], "__init__() (polars.uint8 method)": [[64, "polars.UInt8.__init__"]], "unknown (class in polars)": [[65, "polars.Unknown"]], "__init__() (polars.unknown method)": [[65, "polars.Unknown.__init__"]], "utf8 (class in polars)": [[66, "polars.Utf8"]], "__init__() (polars.utf8 method)": [[66, "polars.Utf8.__init__"]], "align_frames() (in module polars)": [[67, "polars.align_frames"]], "register_dataframe_namespace() (in module polars.api)": [[68, "polars.api.register_dataframe_namespace"]], "register_expr_namespace() (in module polars.api)": [[69, "polars.api.register_expr_namespace"]], "register_lazyframe_namespace() (in module polars.api)": [[70, "polars.api.register_lazyframe_namespace"]], "register_series_namespace() (in module polars.api)": [[71, "polars.api.register_series_namespace"]], "build_info() (in module polars)": [[72, "polars.build_info"]], "collect_all() (in module polars)": [[73, "polars.collect_all"]], "concat() (in module polars)": [[74, "polars.concat"]], "enable_string_cache() (in module polars)": [[75, "polars.enable_string_cache"]], "arrowerror": [[76, "polars.exceptions.ArrowError"]], "columnnotfounderror": [[77, "polars.exceptions.ColumnNotFoundError"]], "computeerror": [[78, "polars.exceptions.ComputeError"]], "duplicateerror": [[79, "polars.exceptions.DuplicateError"]], "invalidoperationerror": [[80, "polars.exceptions.InvalidOperationError"]], "nodataerror": [[81, "polars.exceptions.NoDataError"]], "norowsreturnederror": [[82, "polars.exceptions.NoRowsReturnedError"]], "polarspanicerror": [[83, "polars.exceptions.PolarsPanicError"]], "rowserror": [[84, "polars.exceptions.RowsError"]], "schemaerror": [[85, "polars.exceptions.SchemaError"]], "schemafieldnotfounderror": [[86, "polars.exceptions.SchemaFieldNotFoundError"]], "shapeerror": [[87, "polars.exceptions.ShapeError"]], "structfieldnotfounderror": [[88, "polars.exceptions.StructFieldNotFoundError"]], "toomanyrowsreturnederror": [[89, "polars.exceptions.TooManyRowsReturnedError"]], "from_arrow() (in module polars)": [[90, "polars.from_arrow"]], "from_dataframe() (in module polars)": [[91, "polars.from_dataframe"]], "from_dict() (in module polars)": [[92, "polars.from_dict"]], "from_dicts() (in module polars)": [[93, "polars.from_dicts"]], "from_numpy() (in module polars)": [[94, "polars.from_numpy"]], "from_pandas() (in module polars)": [[95, "polars.from_pandas"]], "from_records() (in module polars)": [[96, "polars.from_records"]], "from_repr() (in module polars)": [[97, "polars.from_repr"]], "get_index_type() (in module polars)": [[98, "polars.get_index_type"]], "next_batches() (polars.io.csv.batched_reader.batchedcsvreader method)": [[99, "polars.io.csv.batched_reader.BatchedCsvReader.next_batches"]], "read_avro() (in module polars)": [[100, "polars.read_avro"]], "read_csv() (in module polars)": [[101, "polars.read_csv"]], "read_csv_batched() (in module polars)": [[102, "polars.read_csv_batched"]], "read_database() (in module polars)": [[103, "polars.read_database"]], "read_delta() (in module polars)": [[104, "polars.read_delta"]], "read_excel() (in module polars)": [[105, "polars.read_excel"]], "read_ipc() (in module polars)": [[106, "polars.read_ipc"]], "read_ipc_schema() (in module polars)": [[107, "polars.read_ipc_schema"]], "read_json() (in module polars)": [[108, "polars.read_json"]], "read_ndjson() (in module polars)": [[109, "polars.read_ndjson"]], "read_parquet() (in module polars)": [[110, "polars.read_parquet"]], "read_parquet_schema() (in module polars)": [[111, "polars.read_parquet_schema"]], "scan_csv() (in module polars)": [[112, "polars.scan_csv"]], "scan_delta() (in module polars)": [[113, "polars.scan_delta"]], "scan_ipc() (in module polars)": [[114, "polars.scan_ipc"]], "scan_ndjson() (in module polars)": [[115, "polars.scan_ndjson"]], "scan_parquet() (in module polars)": [[116, "polars.scan_parquet"]], "scan_pyarrow_dataset() (in module polars)": [[117, "polars.scan_pyarrow_dataset"]], "show_versions() (in module polars)": [[118, "polars.show_versions"]], "assert_frame_equal() (in module polars.testing)": [[119, "polars.testing.assert_frame_equal"]], "assert_series_equal() (in module polars.testing)": [[120, "polars.testing.assert_series_equal"]], "__init__() (polars.testing.parametric.column method)": [[121, "polars.testing.parametric.column.__init__"]], "column (class in polars.testing.parametric)": [[121, "polars.testing.parametric.column"]], "columns() (in module polars.testing.parametric)": [[122, "polars.testing.parametric.columns"]], "create_list_strategy() (in module polars.testing.parametric)": [[123, "polars.testing.parametric.create_list_strategy"]], "dataframes() (in module polars.testing.parametric)": [[124, "polars.testing.parametric.dataframes"]], "load_profile() (in module polars.testing.parametric)": [[125, "polars.testing.parametric.load_profile"]], "series() (in module polars.testing.parametric)": [[126, "polars.testing.parametric.series"]], "set_profile() (in module polars.testing.parametric)": [[127, "polars.testing.parametric.set_profile"]], "threadpool_size() (in module polars)": [[128, "polars.threadpool_size"]], "using_string_cache() (in module polars)": [[129, "polars.using_string_cache"]], "__dataframe__() (polars.dataframe method)": [[132, "polars.DataFrame.__dataframe__"]], "apply() (polars.dataframe method)": [[133, "polars.DataFrame.apply"]], "bottom_k() (polars.dataframe method)": [[134, "polars.DataFrame.bottom_k"]], "clear() (polars.dataframe method)": [[135, "polars.DataFrame.clear"]], "clone() (polars.dataframe method)": [[136, "polars.DataFrame.clone"]], "columns (polars.dataframe property)": [[137, "polars.DataFrame.columns"]], "corr() (polars.dataframe method)": [[138, "polars.DataFrame.corr"]], "describe() (polars.dataframe method)": [[139, "polars.DataFrame.describe"]], "drop() (polars.dataframe method)": [[140, "polars.DataFrame.drop"]], "drop_in_place() (polars.dataframe method)": [[141, "polars.DataFrame.drop_in_place"]], "drop_nulls() (polars.dataframe method)": [[142, "polars.DataFrame.drop_nulls"]], "dtypes (polars.dataframe property)": [[143, "polars.DataFrame.dtypes"]], "estimated_size() (polars.dataframe method)": [[144, "polars.DataFrame.estimated_size"]], "explode() (polars.dataframe method)": [[145, "polars.DataFrame.explode"]], "extend() (polars.dataframe method)": [[146, "polars.DataFrame.extend"]], "fill_nan() (polars.dataframe method)": [[147, "polars.DataFrame.fill_nan"]], "fill_null() (polars.dataframe method)": [[148, "polars.DataFrame.fill_null"]], "filter() (polars.dataframe method)": [[149, "polars.DataFrame.filter"]], "find_idx_by_name() (polars.dataframe method)": [[150, "polars.DataFrame.find_idx_by_name"]], "flags (polars.dataframe property)": [[151, "polars.DataFrame.flags"]], "fold() (polars.dataframe method)": [[152, "polars.DataFrame.fold"]], "frame_equal() (polars.dataframe method)": [[153, "polars.DataFrame.frame_equal"]], "get_column() (polars.dataframe method)": [[154, "polars.DataFrame.get_column"]], "get_columns() (polars.dataframe method)": [[155, "polars.DataFrame.get_columns"]], "glimpse() (polars.dataframe method)": [[156, "polars.DataFrame.glimpse"]], "groupby() (polars.dataframe method)": [[157, "polars.DataFrame.groupby"]], "groupby_dynamic() (polars.dataframe method)": [[158, "polars.DataFrame.groupby_dynamic"]], "groupby_rolling() (polars.dataframe method)": [[159, "polars.DataFrame.groupby_rolling"]], "hash_rows() (polars.dataframe method)": [[160, "polars.DataFrame.hash_rows"]], "head() (polars.dataframe method)": [[161, "polars.DataFrame.head"]], "height (polars.dataframe property)": [[162, "polars.DataFrame.height"]], "hstack() (polars.dataframe method)": [[163, "polars.DataFrame.hstack"]], "insert_at_idx() (polars.dataframe method)": 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"value_counts() (polars.expr method)": [[559, "polars.Expr.value_counts"]], "var() (polars.expr method)": [[560, "polars.Expr.var"]], "where() (polars.expr method)": [[561, "polars.Expr.where"]], "xor() (polars.expr method)": [[562, "polars.Expr.xor"]], "all() (in module polars)": [[563, "polars.all"]], "all_horizontal() (in module polars)": [[564, "polars.all_horizontal"]], "any() (in module polars)": [[565, "polars.any"]], "any_horizontal() (in module polars)": [[566, "polars.any_horizontal"]], "apply() (in module polars)": [[567, "polars.apply"]], "approx_unique() (in module polars)": [[568, "polars.approx_unique"]], "arange() (in module polars)": [[569, "polars.arange"]], "arctan2() (in module polars)": [[570, "polars.arctan2"]], "arctan2d() (in module polars)": [[571, "polars.arctan2d"]], "arg_sort_by() (in module polars)": [[572, "polars.arg_sort_by"]], "arg_where() (in module polars)": [[573, "polars.arg_where"]], "avg() (in module polars)": [[574, "polars.avg"]], "coalesce() 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(polars.lazyframe method)": [[713, "polars.LazyFrame.with_context"]], "with_row_count() (polars.lazyframe method)": [[714, "polars.LazyFrame.with_row_count"]], "write_json() (polars.lazyframe method)": [[715, "polars.LazyFrame.write_json"]], "agg() (polars.lazyframe.groupby.lazygroupby method)": [[716, "polars.lazyframe.groupby.LazyGroupBy.agg"]], "all() (polars.lazyframe.groupby.lazygroupby method)": [[717, "polars.lazyframe.groupby.LazyGroupBy.all"]], "apply() (polars.lazyframe.groupby.lazygroupby method)": [[718, "polars.lazyframe.groupby.LazyGroupBy.apply"]], "count() (polars.lazyframe.groupby.lazygroupby method)": [[719, "polars.lazyframe.groupby.LazyGroupBy.count"]], "first() (polars.lazyframe.groupby.lazygroupby method)": [[720, "polars.lazyframe.groupby.LazyGroupBy.first"]], "head() (polars.lazyframe.groupby.lazygroupby method)": [[721, "polars.lazyframe.groupby.LazyGroupBy.head"]], "last() (polars.lazyframe.groupby.lazygroupby method)": [[722, 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