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Update of 3rd party library chardet

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This commit is contained in:
Miroslav Stampar 2022-03-03 18:03:01 +01:00
parent 75905e0cd9
commit bacf18832a
42 changed files with 2025 additions and 2959 deletions
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2
lib/core/settings.py
View File

@ -20,7 +20,7 @@ from thirdparty import six
from thirdparty.six import unichr as _unichr
# sqlmap version (<major>.<minor>.<month>.<monthly commit>)
VERSION = "1.6.3.1"
VERSION = "1.6.3.2"
TYPE = "dev" if VERSION.count('.') > 2 and VERSION.split('.')[-1] != '0' else "stable"
TYPE_COLORS = {"dev": 33, "stable": 90, "pip": 34}
VERSION_STRING = "sqlmap/%s#%s" % ('.'.join(VERSION.split('.')[:-1]) if VERSION.count('.') > 2 and VERSION.split('.')[-1] == '0' else VERSION, TYPE)

31
thirdparty/chardet/__init__.py vendored
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@ -15,18 +15,25 @@
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
__version__ = "2.3.0"
from sys import version_info
from .compat import PY2, PY3
from .universaldetector import UniversalDetector
from .version import __version__, VERSION
def detect(aBuf):
if ((version_info < (3, 0) and isinstance(aBuf, unicode)) or
(version_info >= (3, 0) and not isinstance(aBuf, bytes))):
raise ValueError('Expected a bytes object, not a unicode object')
def detect(byte_str):
"""
Detect the encoding of the given byte string.
from . import universaldetector
u = universaldetector.UniversalDetector()
u.reset()
u.feed(aBuf)
u.close()
return u.result
:param byte_str: The byte sequence to examine.
:type byte_str: ``bytes`` or ``bytearray``
"""
if not isinstance(byte_str, bytearray):
if not isinstance(byte_str, bytes):
raise TypeError('Expected object of type bytes or bytearray, got: '
'{0}'.format(type(byte_str)))
else:
byte_str = bytearray(byte_str)
detector = UniversalDetector()
detector.feed(byte_str)
return detector.close()

545
thirdparty/chardet/big5freq.py vendored
View File

@ -45,7 +45,7 @@ BIG5_TYPICAL_DISTRIBUTION_RATIO = 0.75
#Char to FreqOrder table
BIG5_TABLE_SIZE = 5376
Big5CharToFreqOrder = (
BIG5_CHAR_TO_FREQ_ORDER = (
1,1801,1506, 255,1431, 198, 9, 82, 6,5008, 177, 202,3681,1256,2821, 110, # 16
3814, 33,3274, 261, 76, 44,2114, 16,2946,2187,1176, 659,3971, 26,3451,2653, # 32
1198,3972,3350,4202, 410,2215, 302, 590, 361,1964, 8, 204, 58,4510,5009,1932, # 48
@ -381,545 +381,6 @@ Big5CharToFreqOrder = (
938,3941, 553,2680, 116,5783,3942,3667,5784,3545,2681,2783,3438,3344,2820,5785, # 5328
3668,2943,4160,1747,2944,2983,5786,5787, 207,5788,4809,5789,4810,2521,5790,3033, # 5344
890,3669,3943,5791,1878,3798,3439,5792,2186,2358,3440,1652,5793,5794,5795, 941, # 5360
2299, 208,3546,4161,2020, 330,4438,3944,2906,2499,3799,4439,4811,5796,5797,5798, # 5376 #last 512
#Everything below is of no interest for detection purpose
2522,1613,4812,5799,3345,3945,2523,5800,4162,5801,1637,4163,2471,4813,3946,5802, # 5392
2500,3034,3800,5803,5804,2195,4814,5805,2163,5806,5807,5808,5809,5810,5811,5812, # 5408
5813,5814,5815,5816,5817,5818,5819,5820,5821,5822,5823,5824,5825,5826,5827,5828, # 5424
5829,5830,5831,5832,5833,5834,5835,5836,5837,5838,5839,5840,5841,5842,5843,5844, # 5440
5845,5846,5847,5848,5849,5850,5851,5852,5853,5854,5855,5856,5857,5858,5859,5860, # 5456
5861,5862,5863,5864,5865,5866,5867,5868,5869,5870,5871,5872,5873,5874,5875,5876, # 5472
5877,5878,5879,5880,5881,5882,5883,5884,5885,5886,5887,5888,5889,5890,5891,5892, # 5488
5893,5894,5895,5896,5897,5898,5899,5900,5901,5902,5903,5904,5905,5906,5907,5908, # 5504
5909,5910,5911,5912,5913,5914,5915,5916,5917,5918,5919,5920,5921,5922,5923,5924, # 5520
5925,5926,5927,5928,5929,5930,5931,5932,5933,5934,5935,5936,5937,5938,5939,5940, # 5536
5941,5942,5943,5944,5945,5946,5947,5948,5949,5950,5951,5952,5953,5954,5955,5956, # 5552
5957,5958,5959,5960,5961,5962,5963,5964,5965,5966,5967,5968,5969,5970,5971,5972, # 5568
5973,5974,5975,5976,5977,5978,5979,5980,5981,5982,5983,5984,5985,5986,5987,5988, # 5584
5989,5990,5991,5992,5993,5994,5995,5996,5997,5998,5999,6000,6001,6002,6003,6004, # 5600
6005,6006,6007,6008,6009,6010,6011,6012,6013,6014,6015,6016,6017,6018,6019,6020, # 5616
6021,6022,6023,6024,6025,6026,6027,6028,6029,6030,6031,6032,6033,6034,6035,6036, # 5632
6037,6038,6039,6040,6041,6042,6043,6044,6045,6046,6047,6048,6049,6050,6051,6052, # 5648
6053,6054,6055,6056,6057,6058,6059,6060,6061,6062,6063,6064,6065,6066,6067,6068, # 5664
6069,6070,6071,6072,6073,6074,6075,6076,6077,6078,6079,6080,6081,6082,6083,6084, # 5680
6085,6086,6087,6088,6089,6090,6091,6092,6093,6094,6095,6096,6097,6098,6099,6100, # 5696
6101,6102,6103,6104,6105,6106,6107,6108,6109,6110,6111,6112,6113,6114,6115,6116, # 5712
6117,6118,6119,6120,6121,6122,6123,6124,6125,6126,6127,6128,6129,6130,6131,6132, # 5728
6133,6134,6135,6136,6137,6138,6139,6140,6141,6142,6143,6144,6145,6146,6147,6148, # 5744
6149,6150,6151,6152,6153,6154,6155,6156,6157,6158,6159,6160,6161,6162,6163,6164, # 5760
6165,6166,6167,6168,6169,6170,6171,6172,6173,6174,6175,6176,6177,6178,6179,6180, # 5776
6181,6182,6183,6184,6185,6186,6187,6188,6189,6190,6191,6192,6193,6194,6195,6196, # 5792
6197,6198,6199,6200,6201,6202,6203,6204,6205,6206,6207,6208,6209,6210,6211,6212, # 5808
6213,6214,6215,6216,6217,6218,6219,6220,6221,6222,6223,3670,6224,6225,6226,6227, # 5824
6228,6229,6230,6231,6232,6233,6234,6235,6236,6237,6238,6239,6240,6241,6242,6243, # 5840
6244,6245,6246,6247,6248,6249,6250,6251,6252,6253,6254,6255,6256,6257,6258,6259, # 5856
6260,6261,6262,6263,6264,6265,6266,6267,6268,6269,6270,6271,6272,6273,6274,6275, # 5872
6276,6277,6278,6279,6280,6281,6282,6283,6284,6285,4815,6286,6287,6288,6289,6290, # 5888
6291,6292,4816,6293,6294,6295,6296,6297,6298,6299,6300,6301,6302,6303,6304,6305, # 5904
6306,6307,6308,6309,6310,6311,4817,4818,6312,6313,6314,6315,6316,6317,6318,4819, # 5920
6319,6320,6321,6322,6323,6324,6325,6326,6327,6328,6329,6330,6331,6332,6333,6334, # 5936
6335,6336,6337,4820,6338,6339,6340,6341,6342,6343,6344,6345,6346,6347,6348,6349, # 5952
6350,6351,6352,6353,6354,6355,6356,6357,6358,6359,6360,6361,6362,6363,6364,6365, # 5968
6366,6367,6368,6369,6370,6371,6372,6373,6374,6375,6376,6377,6378,6379,6380,6381, # 5984
6382,6383,6384,6385,6386,6387,6388,6389,6390,6391,6392,6393,6394,6395,6396,6397, # 6000
6398,6399,6400,6401,6402,6403,6404,6405,6406,6407,6408,6409,6410,3441,6411,6412, # 6016
6413,6414,6415,6416,6417,6418,6419,6420,6421,6422,6423,6424,6425,4440,6426,6427, # 6032
6428,6429,6430,6431,6432,6433,6434,6435,6436,6437,6438,6439,6440,6441,6442,6443, # 6048
6444,6445,6446,6447,6448,6449,6450,6451,6452,6453,6454,4821,6455,6456,6457,6458, # 6064
6459,6460,6461,6462,6463,6464,6465,6466,6467,6468,6469,6470,6471,6472,6473,6474, # 6080
6475,6476,6477,3947,3948,6478,6479,6480,6481,3272,4441,6482,6483,6484,6485,4442, # 6096
6486,6487,6488,6489,6490,6491,6492,6493,6494,6495,6496,4822,6497,6498,6499,6500, # 6112
6501,6502,6503,6504,6505,6506,6507,6508,6509,6510,6511,6512,6513,6514,6515,6516, # 6128
6517,6518,6519,6520,6521,6522,6523,6524,6525,6526,6527,6528,6529,6530,6531,6532, # 6144
6533,6534,6535,6536,6537,6538,6539,6540,6541,6542,6543,6544,6545,6546,6547,6548, # 6160
6549,6550,6551,6552,6553,6554,6555,6556,2784,6557,4823,6558,6559,6560,6561,6562, # 6176
6563,6564,6565,6566,6567,6568,6569,3949,6570,6571,6572,4824,6573,6574,6575,6576, # 6192
6577,6578,6579,6580,6581,6582,6583,4825,6584,6585,6586,3950,2785,6587,6588,6589, # 6208
6590,6591,6592,6593,6594,6595,6596,6597,6598,6599,6600,6601,6602,6603,6604,6605, # 6224
6606,6607,6608,6609,6610,6611,6612,4826,6613,6614,6615,4827,6616,6617,6618,6619, # 6240
6620,6621,6622,6623,6624,6625,4164,6626,6627,6628,6629,6630,6631,6632,6633,6634, # 6256
3547,6635,4828,6636,6637,6638,6639,6640,6641,6642,3951,2984,6643,6644,6645,6646, # 6272
6647,6648,6649,4165,6650,4829,6651,6652,4830,6653,6654,6655,6656,6657,6658,6659, # 6288
6660,6661,6662,4831,6663,6664,6665,6666,6667,6668,6669,6670,6671,4166,6672,4832, # 6304
3952,6673,6674,6675,6676,4833,6677,6678,6679,4167,6680,6681,6682,3198,6683,6684, # 6320
6685,6686,6687,6688,6689,6690,6691,6692,6693,6694,6695,6696,6697,4834,6698,6699, # 6336
6700,6701,6702,6703,6704,6705,6706,6707,6708,6709,6710,6711,6712,6713,6714,6715, # 6352
6716,6717,6718,6719,6720,6721,6722,6723,6724,6725,6726,6727,6728,6729,6730,6731, # 6368
6732,6733,6734,4443,6735,6736,6737,6738,6739,6740,6741,6742,6743,6744,6745,4444, # 6384
6746,6747,6748,6749,6750,6751,6752,6753,6754,6755,6756,6757,6758,6759,6760,6761, # 6400
6762,6763,6764,6765,6766,6767,6768,6769,6770,6771,6772,6773,6774,6775,6776,6777, # 6416
6778,6779,6780,6781,4168,6782,6783,3442,6784,6785,6786,6787,6788,6789,6790,6791, # 6432
4169,6792,6793,6794,6795,6796,6797,6798,6799,6800,6801,6802,6803,6804,6805,6806, # 6448
6807,6808,6809,6810,6811,4835,6812,6813,6814,4445,6815,6816,4446,6817,6818,6819, # 6464
6820,6821,6822,6823,6824,6825,6826,6827,6828,6829,6830,6831,6832,6833,6834,6835, # 6480
3548,6836,6837,6838,6839,6840,6841,6842,6843,6844,6845,6846,4836,6847,6848,6849, # 6496
6850,6851,6852,6853,6854,3953,6855,6856,6857,6858,6859,6860,6861,6862,6863,6864, # 6512
6865,6866,6867,6868,6869,6870,6871,6872,6873,6874,6875,6876,6877,3199,6878,6879, # 6528
6880,6881,6882,4447,6883,6884,6885,6886,6887,6888,6889,6890,6891,6892,6893,6894, # 6544
6895,6896,6897,6898,6899,6900,6901,6902,6903,6904,4170,6905,6906,6907,6908,6909, # 6560
6910,6911,6912,6913,6914,6915,6916,6917,6918,6919,6920,6921,6922,6923,6924,6925, # 6576
6926,6927,4837,6928,6929,6930,6931,6932,6933,6934,6935,6936,3346,6937,6938,4838, # 6592
6939,6940,6941,4448,6942,6943,6944,6945,6946,4449,6947,6948,6949,6950,6951,6952, # 6608
6953,6954,6955,6956,6957,6958,6959,6960,6961,6962,6963,6964,6965,6966,6967,6968, # 6624
6969,6970,6971,6972,6973,6974,6975,6976,6977,6978,6979,6980,6981,6982,6983,6984, # 6640
6985,6986,6987,6988,6989,6990,6991,6992,6993,6994,3671,6995,6996,6997,6998,4839, # 6656
6999,7000,7001,7002,3549,7003,7004,7005,7006,7007,7008,7009,7010,7011,7012,7013, # 6672
7014,7015,7016,7017,7018,7019,7020,7021,7022,7023,7024,7025,7026,7027,7028,7029, # 6688
7030,4840,7031,7032,7033,7034,7035,7036,7037,7038,4841,7039,7040,7041,7042,7043, # 6704
7044,7045,7046,7047,7048,7049,7050,7051,7052,7053,7054,7055,7056,7057,7058,7059, # 6720
7060,7061,7062,7063,7064,7065,7066,7067,7068,7069,7070,2985,7071,7072,7073,7074, # 6736
7075,7076,7077,7078,7079,7080,4842,7081,7082,7083,7084,7085,7086,7087,7088,7089, # 6752
7090,7091,7092,7093,7094,7095,7096,7097,7098,7099,7100,7101,7102,7103,7104,7105, # 6768
7106,7107,7108,7109,7110,7111,7112,7113,7114,7115,7116,7117,7118,4450,7119,7120, # 6784
7121,7122,7123,7124,7125,7126,7127,7128,7129,7130,7131,7132,7133,7134,7135,7136, # 6800
7137,7138,7139,7140,7141,7142,7143,4843,7144,7145,7146,7147,7148,7149,7150,7151, # 6816
7152,7153,7154,7155,7156,7157,7158,7159,7160,7161,7162,7163,7164,7165,7166,7167, # 6832
7168,7169,7170,7171,7172,7173,7174,7175,7176,7177,7178,7179,7180,7181,7182,7183, # 6848
7184,7185,7186,7187,7188,4171,4172,7189,7190,7191,7192,7193,7194,7195,7196,7197, # 6864
7198,7199,7200,7201,7202,7203,7204,7205,7206,7207,7208,7209,7210,7211,7212,7213, # 6880
7214,7215,7216,7217,7218,7219,7220,7221,7222,7223,7224,7225,7226,7227,7228,7229, # 6896
7230,7231,7232,7233,7234,7235,7236,7237,7238,7239,7240,7241,7242,7243,7244,7245, # 6912
7246,7247,7248,7249,7250,7251,7252,7253,7254,7255,7256,7257,7258,7259,7260,7261, # 6928
7262,7263,7264,7265,7266,7267,7268,7269,7270,7271,7272,7273,7274,7275,7276,7277, # 6944
7278,7279,7280,7281,7282,7283,7284,7285,7286,7287,7288,7289,7290,7291,7292,7293, # 6960
7294,7295,7296,4844,7297,7298,7299,7300,7301,7302,7303,7304,7305,7306,7307,7308, # 6976
7309,7310,7311,7312,7313,7314,7315,7316,4451,7317,7318,7319,7320,7321,7322,7323, # 6992
7324,7325,7326,7327,7328,7329,7330,7331,7332,7333,7334,7335,7336,7337,7338,7339, # 7008
7340,7341,7342,7343,7344,7345,7346,7347,7348,7349,7350,7351,7352,7353,4173,7354, # 7024
7355,4845,7356,7357,7358,7359,7360,7361,7362,7363,7364,7365,7366,7367,7368,7369, # 7040
7370,7371,7372,7373,7374,7375,7376,7377,7378,7379,7380,7381,7382,7383,7384,7385, # 7056
7386,7387,7388,4846,7389,7390,7391,7392,7393,7394,7395,7396,7397,7398,7399,7400, # 7072
7401,7402,7403,7404,7405,3672,7406,7407,7408,7409,7410,7411,7412,7413,7414,7415, # 7088
7416,7417,7418,7419,7420,7421,7422,7423,7424,7425,7426,7427,7428,7429,7430,7431, # 7104
7432,7433,7434,7435,7436,7437,7438,7439,7440,7441,7442,7443,7444,7445,7446,7447, # 7120
7448,7449,7450,7451,7452,7453,4452,7454,3200,7455,7456,7457,7458,7459,7460,7461, # 7136
7462,7463,7464,7465,7466,7467,7468,7469,7470,7471,7472,7473,7474,4847,7475,7476, # 7152
7477,3133,7478,7479,7480,7481,7482,7483,7484,7485,7486,7487,7488,7489,7490,7491, # 7168
7492,7493,7494,7495,7496,7497,7498,7499,7500,7501,7502,3347,7503,7504,7505,7506, # 7184
7507,7508,7509,7510,7511,7512,7513,7514,7515,7516,7517,7518,7519,7520,7521,4848, # 7200
7522,7523,7524,7525,7526,7527,7528,7529,7530,7531,7532,7533,7534,7535,7536,7537, # 7216
7538,7539,7540,7541,7542,7543,7544,7545,7546,7547,7548,7549,3801,4849,7550,7551, # 7232
7552,7553,7554,7555,7556,7557,7558,7559,7560,7561,7562,7563,7564,7565,7566,7567, # 7248
7568,7569,3035,7570,7571,7572,7573,7574,7575,7576,7577,7578,7579,7580,7581,7582, # 7264
7583,7584,7585,7586,7587,7588,7589,7590,7591,7592,7593,7594,7595,7596,7597,7598, # 7280
7599,7600,7601,7602,7603,7604,7605,7606,7607,7608,7609,7610,7611,7612,7613,7614, # 7296
7615,7616,4850,7617,7618,3802,7619,7620,7621,7622,7623,7624,7625,7626,7627,7628, # 7312
7629,7630,7631,7632,4851,7633,7634,7635,7636,7637,7638,7639,7640,7641,7642,7643, # 7328
7644,7645,7646,7647,7648,7649,7650,7651,7652,7653,7654,7655,7656,7657,7658,7659, # 7344
7660,7661,7662,7663,7664,7665,7666,7667,7668,7669,7670,4453,7671,7672,7673,7674, # 7360
7675,7676,7677,7678,7679,7680,7681,7682,7683,7684,7685,7686,7687,7688,7689,7690, # 7376
7691,7692,7693,7694,7695,7696,7697,3443,7698,7699,7700,7701,7702,4454,7703,7704, # 7392
7705,7706,7707,7708,7709,7710,7711,7712,7713,2472,7714,7715,7716,7717,7718,7719, # 7408
7720,7721,7722,7723,7724,7725,7726,7727,7728,7729,7730,7731,3954,7732,7733,7734, # 7424
7735,7736,7737,7738,7739,7740,7741,7742,7743,7744,7745,7746,7747,7748,7749,7750, # 7440
3134,7751,7752,4852,7753,7754,7755,4853,7756,7757,7758,7759,7760,4174,7761,7762, # 7456
7763,7764,7765,7766,7767,7768,7769,7770,7771,7772,7773,7774,7775,7776,7777,7778, # 7472
7779,7780,7781,7782,7783,7784,7785,7786,7787,7788,7789,7790,7791,7792,7793,7794, # 7488
7795,7796,7797,7798,7799,7800,7801,7802,7803,7804,7805,4854,7806,7807,7808,7809, # 7504
7810,7811,7812,7813,7814,7815,7816,7817,7818,7819,7820,7821,7822,7823,7824,7825, # 7520
4855,7826,7827,7828,7829,7830,7831,7832,7833,7834,7835,7836,7837,7838,7839,7840, # 7536
7841,7842,7843,7844,7845,7846,7847,3955,7848,7849,7850,7851,7852,7853,7854,7855, # 7552
7856,7857,7858,7859,7860,3444,7861,7862,7863,7864,7865,7866,7867,7868,7869,7870, # 7568
7871,7872,7873,7874,7875,7876,7877,7878,7879,7880,7881,7882,7883,7884,7885,7886, # 7584
7887,7888,7889,7890,7891,4175,7892,7893,7894,7895,7896,4856,4857,7897,7898,7899, # 7600
7900,2598,7901,7902,7903,7904,7905,7906,7907,7908,4455,7909,7910,7911,7912,7913, # 7616
7914,3201,7915,7916,7917,7918,7919,7920,7921,4858,7922,7923,7924,7925,7926,7927, # 7632
7928,7929,7930,7931,7932,7933,7934,7935,7936,7937,7938,7939,7940,7941,7942,7943, # 7648
7944,7945,7946,7947,7948,7949,7950,7951,7952,7953,7954,7955,7956,7957,7958,7959, # 7664
7960,7961,7962,7963,7964,7965,7966,7967,7968,7969,7970,7971,7972,7973,7974,7975, # 7680
7976,7977,7978,7979,7980,7981,4859,7982,7983,7984,7985,7986,7987,7988,7989,7990, # 7696
7991,7992,7993,7994,7995,7996,4860,7997,7998,7999,8000,8001,8002,8003,8004,8005, # 7712
8006,8007,8008,8009,8010,8011,8012,8013,8014,8015,8016,4176,8017,8018,8019,8020, # 7728
8021,8022,8023,4861,8024,8025,8026,8027,8028,8029,8030,8031,8032,8033,8034,8035, # 7744
8036,4862,4456,8037,8038,8039,8040,4863,8041,8042,8043,8044,8045,8046,8047,8048, # 7760
8049,8050,8051,8052,8053,8054,8055,8056,8057,8058,8059,8060,8061,8062,8063,8064, # 7776
8065,8066,8067,8068,8069,8070,8071,8072,8073,8074,8075,8076,8077,8078,8079,8080, # 7792
8081,8082,8083,8084,8085,8086,8087,8088,8089,8090,8091,8092,8093,8094,8095,8096, # 7808
8097,8098,8099,4864,4177,8100,8101,8102,8103,8104,8105,8106,8107,8108,8109,8110, # 7824
8111,8112,8113,8114,8115,8116,8117,8118,8119,8120,4178,8121,8122,8123,8124,8125, # 7840
8126,8127,8128,8129,8130,8131,8132,8133,8134,8135,8136,8137,8138,8139,8140,8141, # 7856
8142,8143,8144,8145,4865,4866,8146,8147,8148,8149,8150,8151,8152,8153,8154,8155, # 7872
8156,8157,8158,8159,8160,8161,8162,8163,8164,8165,4179,8166,8167,8168,8169,8170, # 7888
8171,8172,8173,8174,8175,8176,8177,8178,8179,8180,8181,4457,8182,8183,8184,8185, # 7904
8186,8187,8188,8189,8190,8191,8192,8193,8194,8195,8196,8197,8198,8199,8200,8201, # 7920
8202,8203,8204,8205,8206,8207,8208,8209,8210,8211,8212,8213,8214,8215,8216,8217, # 7936
8218,8219,8220,8221,8222,8223,8224,8225,8226,8227,8228,8229,8230,8231,8232,8233, # 7952
8234,8235,8236,8237,8238,8239,8240,8241,8242,8243,8244,8245,8246,8247,8248,8249, # 7968
8250,8251,8252,8253,8254,8255,8256,3445,8257,8258,8259,8260,8261,8262,4458,8263, # 7984
8264,8265,8266,8267,8268,8269,8270,8271,8272,4459,8273,8274,8275,8276,3550,8277, # 8000
8278,8279,8280,8281,8282,8283,8284,8285,8286,8287,8288,8289,4460,8290,8291,8292, # 8016
8293,8294,8295,8296,8297,8298,8299,8300,8301,8302,8303,8304,8305,8306,8307,4867, # 8032
8308,8309,8310,8311,8312,3551,8313,8314,8315,8316,8317,8318,8319,8320,8321,8322, # 8048
8323,8324,8325,8326,4868,8327,8328,8329,8330,8331,8332,8333,8334,8335,8336,8337, # 8064
8338,8339,8340,8341,8342,8343,8344,8345,8346,8347,8348,8349,8350,8351,8352,8353, # 8080
8354,8355,8356,8357,8358,8359,8360,8361,8362,8363,4869,4461,8364,8365,8366,8367, # 8096
8368,8369,8370,4870,8371,8372,8373,8374,8375,8376,8377,8378,8379,8380,8381,8382, # 8112
8383,8384,8385,8386,8387,8388,8389,8390,8391,8392,8393,8394,8395,8396,8397,8398, # 8128
8399,8400,8401,8402,8403,8404,8405,8406,8407,8408,8409,8410,4871,8411,8412,8413, # 8144
8414,8415,8416,8417,8418,8419,8420,8421,8422,4462,8423,8424,8425,8426,8427,8428, # 8160
8429,8430,8431,8432,8433,2986,8434,8435,8436,8437,8438,8439,8440,8441,8442,8443, # 8176
8444,8445,8446,8447,8448,8449,8450,8451,8452,8453,8454,8455,8456,8457,8458,8459, # 8192
8460,8461,8462,8463,8464,8465,8466,8467,8468,8469,8470,8471,8472,8473,8474,8475, # 8208
8476,8477,8478,4180,8479,8480,8481,8482,8483,8484,8485,8486,8487,8488,8489,8490, # 8224
8491,8492,8493,8494,8495,8496,8497,8498,8499,8500,8501,8502,8503,8504,8505,8506, # 8240
8507,8508,8509,8510,8511,8512,8513,8514,8515,8516,8517,8518,8519,8520,8521,8522, # 8256
8523,8524,8525,8526,8527,8528,8529,8530,8531,8532,8533,8534,8535,8536,8537,8538, # 8272
8539,8540,8541,8542,8543,8544,8545,8546,8547,8548,8549,8550,8551,8552,8553,8554, # 8288
8555,8556,8557,8558,8559,8560,8561,8562,8563,8564,4872,8565,8566,8567,8568,8569, # 8304
8570,8571,8572,8573,4873,8574,8575,8576,8577,8578,8579,8580,8581,8582,8583,8584, # 8320
8585,8586,8587,8588,8589,8590,8591,8592,8593,8594,8595,8596,8597,8598,8599,8600, # 8336
8601,8602,8603,8604,8605,3803,8606,8607,8608,8609,8610,8611,8612,8613,4874,3804, # 8352
8614,8615,8616,8617,8618,8619,8620,8621,3956,8622,8623,8624,8625,8626,8627,8628, # 8368
8629,8630,8631,8632,8633,8634,8635,8636,8637,8638,2865,8639,8640,8641,8642,8643, # 8384
8644,8645,8646,8647,8648,8649,8650,8651,8652,8653,8654,8655,8656,4463,8657,8658, # 8400
8659,4875,4876,8660,8661,8662,8663,8664,8665,8666,8667,8668,8669,8670,8671,8672, # 8416
8673,8674,8675,8676,8677,8678,8679,8680,8681,4464,8682,8683,8684,8685,8686,8687, # 8432
8688,8689,8690,8691,8692,8693,8694,8695,8696,8697,8698,8699,8700,8701,8702,8703, # 8448
8704,8705,8706,8707,8708,8709,2261,8710,8711,8712,8713,8714,8715,8716,8717,8718, # 8464
8719,8720,8721,8722,8723,8724,8725,8726,8727,8728,8729,8730,8731,8732,8733,4181, # 8480
8734,8735,8736,8737,8738,8739,8740,8741,8742,8743,8744,8745,8746,8747,8748,8749, # 8496
8750,8751,8752,8753,8754,8755,8756,8757,8758,8759,8760,8761,8762,8763,4877,8764, # 8512
8765,8766,8767,8768,8769,8770,8771,8772,8773,8774,8775,8776,8777,8778,8779,8780, # 8528
8781,8782,8783,8784,8785,8786,8787,8788,4878,8789,4879,8790,8791,8792,4880,8793, # 8544
8794,8795,8796,8797,8798,8799,8800,8801,4881,8802,8803,8804,8805,8806,8807,8808, # 8560
8809,8810,8811,8812,8813,8814,8815,3957,8816,8817,8818,8819,8820,8821,8822,8823, # 8576
8824,8825,8826,8827,8828,8829,8830,8831,8832,8833,8834,8835,8836,8837,8838,8839, # 8592
8840,8841,8842,8843,8844,8845,8846,8847,4882,8848,8849,8850,8851,8852,8853,8854, # 8608
8855,8856,8857,8858,8859,8860,8861,8862,8863,8864,8865,8866,8867,8868,8869,8870, # 8624
8871,8872,8873,8874,8875,8876,8877,8878,8879,8880,8881,8882,8883,8884,3202,8885, # 8640
8886,8887,8888,8889,8890,8891,8892,8893,8894,8895,8896,8897,8898,8899,8900,8901, # 8656
8902,8903,8904,8905,8906,8907,8908,8909,8910,8911,8912,8913,8914,8915,8916,8917, # 8672
8918,8919,8920,8921,8922,8923,8924,4465,8925,8926,8927,8928,8929,8930,8931,8932, # 8688
4883,8933,8934,8935,8936,8937,8938,8939,8940,8941,8942,8943,2214,8944,8945,8946, # 8704
8947,8948,8949,8950,8951,8952,8953,8954,8955,8956,8957,8958,8959,8960,8961,8962, # 8720
8963,8964,8965,4884,8966,8967,8968,8969,8970,8971,8972,8973,8974,8975,8976,8977, # 8736
8978,8979,8980,8981,8982,8983,8984,8985,8986,8987,8988,8989,8990,8991,8992,4885, # 8752
8993,8994,8995,8996,8997,8998,8999,9000,9001,9002,9003,9004,9005,9006,9007,9008, # 8768
9009,9010,9011,9012,9013,9014,9015,9016,9017,9018,9019,9020,9021,4182,9022,9023, # 8784
9024,9025,9026,9027,9028,9029,9030,9031,9032,9033,9034,9035,9036,9037,9038,9039, # 8800
9040,9041,9042,9043,9044,9045,9046,9047,9048,9049,9050,9051,9052,9053,9054,9055, # 8816
9056,9057,9058,9059,9060,9061,9062,9063,4886,9064,9065,9066,9067,9068,9069,4887, # 8832
9070,9071,9072,9073,9074,9075,9076,9077,9078,9079,9080,9081,9082,9083,9084,9085, # 8848
9086,9087,9088,9089,9090,9091,9092,9093,9094,9095,9096,9097,9098,9099,9100,9101, # 8864
9102,9103,9104,9105,9106,9107,9108,9109,9110,9111,9112,9113,9114,9115,9116,9117, # 8880
9118,9119,9120,9121,9122,9123,9124,9125,9126,9127,9128,9129,9130,9131,9132,9133, # 8896
9134,9135,9136,9137,9138,9139,9140,9141,3958,9142,9143,9144,9145,9146,9147,9148, # 8912
9149,9150,9151,4888,9152,9153,9154,9155,9156,9157,9158,9159,9160,9161,9162,9163, # 8928
9164,9165,9166,9167,9168,9169,9170,9171,9172,9173,9174,9175,4889,9176,9177,9178, # 8944
9179,9180,9181,9182,9183,9184,9185,9186,9187,9188,9189,9190,9191,9192,9193,9194, # 8960
9195,9196,9197,9198,9199,9200,9201,9202,9203,4890,9204,9205,9206,9207,9208,9209, # 8976
9210,9211,9212,9213,9214,9215,9216,9217,9218,9219,9220,9221,9222,4466,9223,9224, # 8992
9225,9226,9227,9228,9229,9230,9231,9232,9233,9234,9235,9236,9237,9238,9239,9240, # 9008
9241,9242,9243,9244,9245,4891,9246,9247,9248,9249,9250,9251,9252,9253,9254,9255, # 9024
9256,9257,4892,9258,9259,9260,9261,4893,4894,9262,9263,9264,9265,9266,9267,9268, # 9040
9269,9270,9271,9272,9273,4467,9274,9275,9276,9277,9278,9279,9280,9281,9282,9283, # 9056
9284,9285,3673,9286,9287,9288,9289,9290,9291,9292,9293,9294,9295,9296,9297,9298, # 9072
9299,9300,9301,9302,9303,9304,9305,9306,9307,9308,9309,9310,9311,9312,9313,9314, # 9088
9315,9316,9317,9318,9319,9320,9321,9322,4895,9323,9324,9325,9326,9327,9328,9329, # 9104
9330,9331,9332,9333,9334,9335,9336,9337,9338,9339,9340,9341,9342,9343,9344,9345, # 9120
9346,9347,4468,9348,9349,9350,9351,9352,9353,9354,9355,9356,9357,9358,9359,9360, # 9136
9361,9362,9363,9364,9365,9366,9367,9368,9369,9370,9371,9372,9373,4896,9374,4469, # 9152
9375,9376,9377,9378,9379,4897,9380,9381,9382,9383,9384,9385,9386,9387,9388,9389, # 9168
9390,9391,9392,9393,9394,9395,9396,9397,9398,9399,9400,9401,9402,9403,9404,9405, # 9184
9406,4470,9407,2751,9408,9409,3674,3552,9410,9411,9412,9413,9414,9415,9416,9417, # 9200
9418,9419,9420,9421,4898,9422,9423,9424,9425,9426,9427,9428,9429,3959,9430,9431, # 9216
9432,9433,9434,9435,9436,4471,9437,9438,9439,9440,9441,9442,9443,9444,9445,9446, # 9232
9447,9448,9449,9450,3348,9451,9452,9453,9454,9455,9456,9457,9458,9459,9460,9461, # 9248
9462,9463,9464,9465,9466,9467,9468,9469,9470,9471,9472,4899,9473,9474,9475,9476, # 9264
9477,4900,9478,9479,9480,9481,9482,9483,9484,9485,9486,9487,9488,3349,9489,9490, # 9280
9491,9492,9493,9494,9495,9496,9497,9498,9499,9500,9501,9502,9503,9504,9505,9506, # 9296
9507,9508,9509,9510,9511,9512,9513,9514,9515,9516,9517,9518,9519,9520,4901,9521, # 9312
9522,9523,9524,9525,9526,4902,9527,9528,9529,9530,9531,9532,9533,9534,9535,9536, # 9328
9537,9538,9539,9540,9541,9542,9543,9544,9545,9546,9547,9548,9549,9550,9551,9552, # 9344
9553,9554,9555,9556,9557,9558,9559,9560,9561,9562,9563,9564,9565,9566,9567,9568, # 9360
9569,9570,9571,9572,9573,9574,9575,9576,9577,9578,9579,9580,9581,9582,9583,9584, # 9376
3805,9585,9586,9587,9588,9589,9590,9591,9592,9593,9594,9595,9596,9597,9598,9599, # 9392
9600,9601,9602,4903,9603,9604,9605,9606,9607,4904,9608,9609,9610,9611,9612,9613, # 9408
9614,4905,9615,9616,9617,9618,9619,9620,9621,9622,9623,9624,9625,9626,9627,9628, # 9424
9629,9630,9631,9632,4906,9633,9634,9635,9636,9637,9638,9639,9640,9641,9642,9643, # 9440
4907,9644,9645,9646,9647,9648,9649,9650,9651,9652,9653,9654,9655,9656,9657,9658, # 9456
9659,9660,9661,9662,9663,9664,9665,9666,9667,9668,9669,9670,9671,9672,4183,9673, # 9472
9674,9675,9676,9677,4908,9678,9679,9680,9681,4909,9682,9683,9684,9685,9686,9687, # 9488
9688,9689,9690,4910,9691,9692,9693,3675,9694,9695,9696,2945,9697,9698,9699,9700, # 9504
9701,9702,9703,9704,9705,4911,9706,9707,9708,9709,9710,9711,9712,9713,9714,9715, # 9520
9716,9717,9718,9719,9720,9721,9722,9723,9724,9725,9726,9727,9728,9729,9730,9731, # 9536
9732,9733,9734,9735,4912,9736,9737,9738,9739,9740,4913,9741,9742,9743,9744,9745, # 9552
9746,9747,9748,9749,9750,9751,9752,9753,9754,9755,9756,9757,9758,4914,9759,9760, # 9568
9761,9762,9763,9764,9765,9766,9767,9768,9769,9770,9771,9772,9773,9774,9775,9776, # 9584
9777,9778,9779,9780,9781,9782,4915,9783,9784,9785,9786,9787,9788,9789,9790,9791, # 9600
9792,9793,4916,9794,9795,9796,9797,9798,9799,9800,9801,9802,9803,9804,9805,9806, # 9616
9807,9808,9809,9810,9811,9812,9813,9814,9815,9816,9817,9818,9819,9820,9821,9822, # 9632
9823,9824,9825,9826,9827,9828,9829,9830,9831,9832,9833,9834,9835,9836,9837,9838, # 9648
9839,9840,9841,9842,9843,9844,9845,9846,9847,9848,9849,9850,9851,9852,9853,9854, # 9664
9855,9856,9857,9858,9859,9860,9861,9862,9863,9864,9865,9866,9867,9868,4917,9869, # 9680
9870,9871,9872,9873,9874,9875,9876,9877,9878,9879,9880,9881,9882,9883,9884,9885, # 9696
9886,9887,9888,9889,9890,9891,9892,4472,9893,9894,9895,9896,9897,3806,9898,9899, # 9712
9900,9901,9902,9903,9904,9905,9906,9907,9908,9909,9910,9911,9912,9913,9914,4918, # 9728
9915,9916,9917,4919,9918,9919,9920,9921,4184,9922,9923,9924,9925,9926,9927,9928, # 9744
9929,9930,9931,9932,9933,9934,9935,9936,9937,9938,9939,9940,9941,9942,9943,9944, # 9760
9945,9946,4920,9947,9948,9949,9950,9951,9952,9953,9954,9955,4185,9956,9957,9958, # 9776
9959,9960,9961,9962,9963,9964,9965,4921,9966,9967,9968,4473,9969,9970,9971,9972, # 9792
9973,9974,9975,9976,9977,4474,9978,9979,9980,9981,9982,9983,9984,9985,9986,9987, # 9808
9988,9989,9990,9991,9992,9993,9994,9995,9996,9997,9998,9999,10000,10001,10002,10003, # 9824
10004,10005,10006,10007,10008,10009,10010,10011,10012,10013,10014,10015,10016,10017,10018,10019, # 9840
10020,10021,4922,10022,4923,10023,10024,10025,10026,10027,10028,10029,10030,10031,10032,10033, # 9856
10034,10035,10036,10037,10038,10039,10040,10041,10042,10043,10044,10045,10046,10047,10048,4924, # 9872
10049,10050,10051,10052,10053,10054,10055,10056,10057,10058,10059,10060,10061,10062,10063,10064, # 9888
10065,10066,10067,10068,10069,10070,10071,10072,10073,10074,10075,10076,10077,10078,10079,10080, # 9904
10081,10082,10083,10084,10085,10086,10087,4475,10088,10089,10090,10091,10092,10093,10094,10095, # 9920
10096,10097,4476,10098,10099,10100,10101,10102,10103,10104,10105,10106,10107,10108,10109,10110, # 9936
10111,2174,10112,10113,10114,10115,10116,10117,10118,10119,10120,10121,10122,10123,10124,10125, # 9952
10126,10127,10128,10129,10130,10131,10132,10133,10134,10135,10136,10137,10138,10139,10140,3807, # 9968
4186,4925,10141,10142,10143,10144,10145,10146,10147,4477,4187,10148,10149,10150,10151,10152, # 9984
10153,4188,10154,10155,10156,10157,10158,10159,10160,10161,4926,10162,10163,10164,10165,10166, #10000
10167,10168,10169,10170,10171,10172,10173,10174,10175,10176,10177,10178,10179,10180,10181,10182, #10016
10183,10184,10185,10186,10187,10188,10189,10190,10191,10192,3203,10193,10194,10195,10196,10197, #10032
10198,10199,10200,4478,10201,10202,10203,10204,4479,10205,10206,10207,10208,10209,10210,10211, #10048
10212,10213,10214,10215,10216,10217,10218,10219,10220,10221,10222,10223,10224,10225,10226,10227, #10064
10228,10229,10230,10231,10232,10233,10234,4927,10235,10236,10237,10238,10239,10240,10241,10242, #10080
10243,10244,10245,10246,10247,10248,10249,10250,10251,10252,10253,10254,10255,10256,10257,10258, #10096
10259,10260,10261,10262,10263,10264,10265,10266,10267,10268,10269,10270,10271,10272,10273,4480, #10112
4928,4929,10274,10275,10276,10277,10278,10279,10280,10281,10282,10283,10284,10285,10286,10287, #10128
10288,10289,10290,10291,10292,10293,10294,10295,10296,10297,10298,10299,10300,10301,10302,10303, #10144
10304,10305,10306,10307,10308,10309,10310,10311,10312,10313,10314,10315,10316,10317,10318,10319, #10160
10320,10321,10322,10323,10324,10325,10326,10327,10328,10329,10330,10331,10332,10333,10334,4930, #10176
10335,10336,10337,10338,10339,10340,10341,10342,4931,10343,10344,10345,10346,10347,10348,10349, #10192
10350,10351,10352,10353,10354,10355,3088,10356,2786,10357,10358,10359,10360,4189,10361,10362, #10208
10363,10364,10365,10366,10367,10368,10369,10370,10371,10372,10373,10374,10375,4932,10376,10377, #10224
10378,10379,10380,10381,10382,10383,10384,10385,10386,10387,10388,10389,10390,10391,10392,4933, #10240
10393,10394,10395,4934,10396,10397,10398,10399,10400,10401,10402,10403,10404,10405,10406,10407, #10256
10408,10409,10410,10411,10412,3446,10413,10414,10415,10416,10417,10418,10419,10420,10421,10422, #10272
10423,4935,10424,10425,10426,10427,10428,10429,10430,4936,10431,10432,10433,10434,10435,10436, #10288
10437,10438,10439,10440,10441,10442,10443,4937,10444,10445,10446,10447,4481,10448,10449,10450, #10304
10451,10452,10453,10454,10455,10456,10457,10458,10459,10460,10461,10462,10463,10464,10465,10466, #10320
10467,10468,10469,10470,10471,10472,10473,10474,10475,10476,10477,10478,10479,10480,10481,10482, #10336
10483,10484,10485,10486,10487,10488,10489,10490,10491,10492,10493,10494,10495,10496,10497,10498, #10352
10499,10500,10501,10502,10503,10504,10505,4938,10506,10507,10508,10509,10510,2552,10511,10512, #10368
10513,10514,10515,10516,3447,10517,10518,10519,10520,10521,10522,10523,10524,10525,10526,10527, #10384
10528,10529,10530,10531,10532,10533,10534,10535,10536,10537,10538,10539,10540,10541,10542,10543, #10400
4482,10544,4939,10545,10546,10547,10548,10549,10550,10551,10552,10553,10554,10555,10556,10557, #10416
10558,10559,10560,10561,10562,10563,10564,10565,10566,10567,3676,4483,10568,10569,10570,10571, #10432
10572,3448,10573,10574,10575,10576,10577,10578,10579,10580,10581,10582,10583,10584,10585,10586, #10448
10587,10588,10589,10590,10591,10592,10593,10594,10595,10596,10597,10598,10599,10600,10601,10602, #10464
10603,10604,10605,10606,10607,10608,10609,10610,10611,10612,10613,10614,10615,10616,10617,10618, #10480
10619,10620,10621,10622,10623,10624,10625,10626,10627,4484,10628,10629,10630,10631,10632,4940, #10496
10633,10634,10635,10636,10637,10638,10639,10640,10641,10642,10643,10644,10645,10646,10647,10648, #10512
10649,10650,10651,10652,10653,10654,10655,10656,4941,10657,10658,10659,2599,10660,10661,10662, #10528
10663,10664,10665,10666,3089,10667,10668,10669,10670,10671,10672,10673,10674,10675,10676,10677, #10544
10678,10679,10680,4942,10681,10682,10683,10684,10685,10686,10687,10688,10689,10690,10691,10692, #10560
10693,10694,10695,10696,10697,4485,10698,10699,10700,10701,10702,10703,10704,4943,10705,3677, #10576
10706,10707,10708,10709,10710,10711,10712,4944,10713,10714,10715,10716,10717,10718,10719,10720, #10592
10721,10722,10723,10724,10725,10726,10727,10728,4945,10729,10730,10731,10732,10733,10734,10735, #10608
10736,10737,10738,10739,10740,10741,10742,10743,10744,10745,10746,10747,10748,10749,10750,10751, #10624
10752,10753,10754,10755,10756,10757,10758,10759,10760,10761,4946,10762,10763,10764,10765,10766, #10640
10767,4947,4948,10768,10769,10770,10771,10772,10773,10774,10775,10776,10777,10778,10779,10780, #10656
10781,10782,10783,10784,10785,10786,10787,10788,10789,10790,10791,10792,10793,10794,10795,10796, #10672
10797,10798,10799,10800,10801,10802,10803,10804,10805,10806,10807,10808,10809,10810,10811,10812, #10688
10813,10814,10815,10816,10817,10818,10819,10820,10821,10822,10823,10824,10825,10826,10827,10828, #10704
10829,10830,10831,10832,10833,10834,10835,10836,10837,10838,10839,10840,10841,10842,10843,10844, #10720
10845,10846,10847,10848,10849,10850,10851,10852,10853,10854,10855,10856,10857,10858,10859,10860, #10736
10861,10862,10863,10864,10865,10866,10867,10868,10869,10870,10871,10872,10873,10874,10875,10876, #10752
10877,10878,4486,10879,10880,10881,10882,10883,10884,10885,4949,10886,10887,10888,10889,10890, #10768
10891,10892,10893,10894,10895,10896,10897,10898,10899,10900,10901,10902,10903,10904,10905,10906, #10784
10907,10908,10909,10910,10911,10912,10913,10914,10915,10916,10917,10918,10919,4487,10920,10921, #10800
10922,10923,10924,10925,10926,10927,10928,10929,10930,10931,10932,4950,10933,10934,10935,10936, #10816
10937,10938,10939,10940,10941,10942,10943,10944,10945,10946,10947,10948,10949,4488,10950,10951, #10832
10952,10953,10954,10955,10956,10957,10958,10959,4190,10960,10961,10962,10963,10964,10965,10966, #10848
10967,10968,10969,10970,10971,10972,10973,10974,10975,10976,10977,10978,10979,10980,10981,10982, #10864
10983,10984,10985,10986,10987,10988,10989,10990,10991,10992,10993,10994,10995,10996,10997,10998, #10880
10999,11000,11001,11002,11003,11004,11005,11006,3960,11007,11008,11009,11010,11011,11012,11013, #10896
11014,11015,11016,11017,11018,11019,11020,11021,11022,11023,11024,11025,11026,11027,11028,11029, #10912
11030,11031,11032,4951,11033,11034,11035,11036,11037,11038,11039,11040,11041,11042,11043,11044, #10928
11045,11046,11047,4489,11048,11049,11050,11051,4952,11052,11053,11054,11055,11056,11057,11058, #10944
4953,11059,11060,11061,11062,11063,11064,11065,11066,11067,11068,11069,11070,11071,4954,11072, #10960
11073,11074,11075,11076,11077,11078,11079,11080,11081,11082,11083,11084,11085,11086,11087,11088, #10976
11089,11090,11091,11092,11093,11094,11095,11096,11097,11098,11099,11100,11101,11102,11103,11104, #10992
11105,11106,11107,11108,11109,11110,11111,11112,11113,11114,11115,3808,11116,11117,11118,11119, #11008
11120,11121,11122,11123,11124,11125,11126,11127,11128,11129,11130,11131,11132,11133,11134,4955, #11024
11135,11136,11137,11138,11139,11140,11141,11142,11143,11144,11145,11146,11147,11148,11149,11150, #11040
11151,11152,11153,11154,11155,11156,11157,11158,11159,11160,11161,4956,11162,11163,11164,11165, #11056
11166,11167,11168,11169,11170,11171,11172,11173,11174,11175,11176,11177,11178,11179,11180,4957, #11072
11181,11182,11183,11184,11185,11186,4958,11187,11188,11189,11190,11191,11192,11193,11194,11195, #11088
11196,11197,11198,11199,11200,3678,11201,11202,11203,11204,11205,11206,4191,11207,11208,11209, #11104
11210,11211,11212,11213,11214,11215,11216,11217,11218,11219,11220,11221,11222,11223,11224,11225, #11120
11226,11227,11228,11229,11230,11231,11232,11233,11234,11235,11236,11237,11238,11239,11240,11241, #11136
11242,11243,11244,11245,11246,11247,11248,11249,11250,11251,4959,11252,11253,11254,11255,11256, #11152
11257,11258,11259,11260,11261,11262,11263,11264,11265,11266,11267,11268,11269,11270,11271,11272, #11168
11273,11274,11275,11276,11277,11278,11279,11280,11281,11282,11283,11284,11285,11286,11287,11288, #11184
11289,11290,11291,11292,11293,11294,11295,11296,11297,11298,11299,11300,11301,11302,11303,11304, #11200
11305,11306,11307,11308,11309,11310,11311,11312,11313,11314,3679,11315,11316,11317,11318,4490, #11216
11319,11320,11321,11322,11323,11324,11325,11326,11327,11328,11329,11330,11331,11332,11333,11334, #11232
11335,11336,11337,11338,11339,11340,11341,11342,11343,11344,11345,11346,11347,4960,11348,11349, #11248
11350,11351,11352,11353,11354,11355,11356,11357,11358,11359,11360,11361,11362,11363,11364,11365, #11264
11366,11367,11368,11369,11370,11371,11372,11373,11374,11375,11376,11377,3961,4961,11378,11379, #11280
11380,11381,11382,11383,11384,11385,11386,11387,11388,11389,11390,11391,11392,11393,11394,11395, #11296
11396,11397,4192,11398,11399,11400,11401,11402,11403,11404,11405,11406,11407,11408,11409,11410, #11312
11411,4962,11412,11413,11414,11415,11416,11417,11418,11419,11420,11421,11422,11423,11424,11425, #11328
11426,11427,11428,11429,11430,11431,11432,11433,11434,11435,11436,11437,11438,11439,11440,11441, #11344
11442,11443,11444,11445,11446,11447,11448,11449,11450,11451,11452,11453,11454,11455,11456,11457, #11360
11458,11459,11460,11461,11462,11463,11464,11465,11466,11467,11468,11469,4963,11470,11471,4491, #11376
11472,11473,11474,11475,4964,11476,11477,11478,11479,11480,11481,11482,11483,11484,11485,11486, #11392
11487,11488,11489,11490,11491,11492,4965,11493,11494,11495,11496,11497,11498,11499,11500,11501, #11408
11502,11503,11504,11505,11506,11507,11508,11509,11510,11511,11512,11513,11514,11515,11516,11517, #11424
11518,11519,11520,11521,11522,11523,11524,11525,11526,11527,11528,11529,3962,11530,11531,11532, #11440
11533,11534,11535,11536,11537,11538,11539,11540,11541,11542,11543,11544,11545,11546,11547,11548, #11456
11549,11550,11551,11552,11553,11554,11555,11556,11557,11558,11559,11560,11561,11562,11563,11564, #11472
4193,4194,11565,11566,11567,11568,11569,11570,11571,11572,11573,11574,11575,11576,11577,11578, #11488
11579,11580,11581,11582,11583,11584,11585,11586,11587,11588,11589,11590,11591,4966,4195,11592, #11504
11593,11594,11595,11596,11597,11598,11599,11600,11601,11602,11603,11604,3090,11605,11606,11607, #11520
11608,11609,11610,4967,11611,11612,11613,11614,11615,11616,11617,11618,11619,11620,11621,11622, #11536
11623,11624,11625,11626,11627,11628,11629,11630,11631,11632,11633,11634,11635,11636,11637,11638, #11552
11639,11640,11641,11642,11643,11644,11645,11646,11647,11648,11649,11650,11651,11652,11653,11654, #11568
11655,11656,11657,11658,11659,11660,11661,11662,11663,11664,11665,11666,11667,11668,11669,11670, #11584
11671,11672,11673,11674,4968,11675,11676,11677,11678,11679,11680,11681,11682,11683,11684,11685, #11600
11686,11687,11688,11689,11690,11691,11692,11693,3809,11694,11695,11696,11697,11698,11699,11700, #11616
11701,11702,11703,11704,11705,11706,11707,11708,11709,11710,11711,11712,11713,11714,11715,11716, #11632
11717,11718,3553,11719,11720,11721,11722,11723,11724,11725,11726,11727,11728,11729,11730,4969, #11648
11731,11732,11733,11734,11735,11736,11737,11738,11739,11740,4492,11741,11742,11743,11744,11745, #11664
11746,11747,11748,11749,11750,11751,11752,4970,11753,11754,11755,11756,11757,11758,11759,11760, #11680
11761,11762,11763,11764,11765,11766,11767,11768,11769,11770,11771,11772,11773,11774,11775,11776, #11696
11777,11778,11779,11780,11781,11782,11783,11784,11785,11786,11787,11788,11789,11790,4971,11791, #11712
11792,11793,11794,11795,11796,11797,4972,11798,11799,11800,11801,11802,11803,11804,11805,11806, #11728
11807,11808,11809,11810,4973,11811,11812,11813,11814,11815,11816,11817,11818,11819,11820,11821, #11744
11822,11823,11824,11825,11826,11827,11828,11829,11830,11831,11832,11833,11834,3680,3810,11835, #11760
11836,4974,11837,11838,11839,11840,11841,11842,11843,11844,11845,11846,11847,11848,11849,11850, #11776
11851,11852,11853,11854,11855,11856,11857,11858,11859,11860,11861,11862,11863,11864,11865,11866, #11792
11867,11868,11869,11870,11871,11872,11873,11874,11875,11876,11877,11878,11879,11880,11881,11882, #11808
11883,11884,4493,11885,11886,11887,11888,11889,11890,11891,11892,11893,11894,11895,11896,11897, #11824
11898,11899,11900,11901,11902,11903,11904,11905,11906,11907,11908,11909,11910,11911,11912,11913, #11840
11914,11915,4975,11916,11917,11918,11919,11920,11921,11922,11923,11924,11925,11926,11927,11928, #11856
11929,11930,11931,11932,11933,11934,11935,11936,11937,11938,11939,11940,11941,11942,11943,11944, #11872
11945,11946,11947,11948,11949,4976,11950,11951,11952,11953,11954,11955,11956,11957,11958,11959, #11888
11960,11961,11962,11963,11964,11965,11966,11967,11968,11969,11970,11971,11972,11973,11974,11975, #11904
11976,11977,11978,11979,11980,11981,11982,11983,11984,11985,11986,11987,4196,11988,11989,11990, #11920
11991,11992,4977,11993,11994,11995,11996,11997,11998,11999,12000,12001,12002,12003,12004,12005, #11936
12006,12007,12008,12009,12010,12011,12012,12013,12014,12015,12016,12017,12018,12019,12020,12021, #11952
12022,12023,12024,12025,12026,12027,12028,12029,12030,12031,12032,12033,12034,12035,12036,12037, #11968
12038,12039,12040,12041,12042,12043,12044,12045,12046,12047,12048,12049,12050,12051,12052,12053, #11984
12054,12055,12056,12057,12058,12059,12060,12061,4978,12062,12063,12064,12065,12066,12067,12068, #12000
12069,12070,12071,12072,12073,12074,12075,12076,12077,12078,12079,12080,12081,12082,12083,12084, #12016
12085,12086,12087,12088,12089,12090,12091,12092,12093,12094,12095,12096,12097,12098,12099,12100, #12032
12101,12102,12103,12104,12105,12106,12107,12108,12109,12110,12111,12112,12113,12114,12115,12116, #12048
12117,12118,12119,12120,12121,12122,12123,4979,12124,12125,12126,12127,12128,4197,12129,12130, #12064
12131,12132,12133,12134,12135,12136,12137,12138,12139,12140,12141,12142,12143,12144,12145,12146, #12080
12147,12148,12149,12150,12151,12152,12153,12154,4980,12155,12156,12157,12158,12159,12160,4494, #12096
12161,12162,12163,12164,3811,12165,12166,12167,12168,12169,4495,12170,12171,4496,12172,12173, #12112
12174,12175,12176,3812,12177,12178,12179,12180,12181,12182,12183,12184,12185,12186,12187,12188, #12128
12189,12190,12191,12192,12193,12194,12195,12196,12197,12198,12199,12200,12201,12202,12203,12204, #12144
12205,12206,12207,12208,12209,12210,12211,12212,12213,12214,12215,12216,12217,12218,12219,12220, #12160
12221,4981,12222,12223,12224,12225,12226,12227,12228,12229,12230,12231,12232,12233,12234,12235, #12176
4982,12236,12237,12238,12239,12240,12241,12242,12243,12244,12245,4983,12246,12247,12248,12249, #12192
4984,12250,12251,12252,12253,12254,12255,12256,12257,12258,12259,12260,12261,12262,12263,12264, #12208
4985,12265,4497,12266,12267,12268,12269,12270,12271,12272,12273,12274,12275,12276,12277,12278, #12224
12279,12280,12281,12282,12283,12284,12285,12286,12287,4986,12288,12289,12290,12291,12292,12293, #12240
12294,12295,12296,2473,12297,12298,12299,12300,12301,12302,12303,12304,12305,12306,12307,12308, #12256
12309,12310,12311,12312,12313,12314,12315,12316,12317,12318,12319,3963,12320,12321,12322,12323, #12272
12324,12325,12326,12327,12328,12329,12330,12331,12332,4987,12333,12334,12335,12336,12337,12338, #12288
12339,12340,12341,12342,12343,12344,12345,12346,12347,12348,12349,12350,12351,12352,12353,12354, #12304
12355,12356,12357,12358,12359,3964,12360,12361,12362,12363,12364,12365,12366,12367,12368,12369, #12320
12370,3965,12371,12372,12373,12374,12375,12376,12377,12378,12379,12380,12381,12382,12383,12384, #12336
12385,12386,12387,12388,12389,12390,12391,12392,12393,12394,12395,12396,12397,12398,12399,12400, #12352
12401,12402,12403,12404,12405,12406,12407,12408,4988,12409,12410,12411,12412,12413,12414,12415, #12368
12416,12417,12418,12419,12420,12421,12422,12423,12424,12425,12426,12427,12428,12429,12430,12431, #12384
12432,12433,12434,12435,12436,12437,12438,3554,12439,12440,12441,12442,12443,12444,12445,12446, #12400
12447,12448,12449,12450,12451,12452,12453,12454,12455,12456,12457,12458,12459,12460,12461,12462, #12416
12463,12464,4989,12465,12466,12467,12468,12469,12470,12471,12472,12473,12474,12475,12476,12477, #12432
12478,12479,12480,4990,12481,12482,12483,12484,12485,12486,12487,12488,12489,4498,12490,12491, #12448
12492,12493,12494,12495,12496,12497,12498,12499,12500,12501,12502,12503,12504,12505,12506,12507, #12464
12508,12509,12510,12511,12512,12513,12514,12515,12516,12517,12518,12519,12520,12521,12522,12523, #12480
12524,12525,12526,12527,12528,12529,12530,12531,12532,12533,12534,12535,12536,12537,12538,12539, #12496
12540,12541,12542,12543,12544,12545,12546,12547,12548,12549,12550,12551,4991,12552,12553,12554, #12512
12555,12556,12557,12558,12559,12560,12561,12562,12563,12564,12565,12566,12567,12568,12569,12570, #12528
12571,12572,12573,12574,12575,12576,12577,12578,3036,12579,12580,12581,12582,12583,3966,12584, #12544
12585,12586,12587,12588,12589,12590,12591,12592,12593,12594,12595,12596,12597,12598,12599,12600, #12560
12601,12602,12603,12604,12605,12606,12607,12608,12609,12610,12611,12612,12613,12614,12615,12616, #12576
12617,12618,12619,12620,12621,12622,12623,12624,12625,12626,12627,12628,12629,12630,12631,12632, #12592
12633,12634,12635,12636,12637,12638,12639,12640,12641,12642,12643,12644,12645,12646,4499,12647, #12608
12648,12649,12650,12651,12652,12653,12654,12655,12656,12657,12658,12659,12660,12661,12662,12663, #12624
12664,12665,12666,12667,12668,12669,12670,12671,12672,12673,12674,12675,12676,12677,12678,12679, #12640
12680,12681,12682,12683,12684,12685,12686,12687,12688,12689,12690,12691,12692,12693,12694,12695, #12656
12696,12697,12698,4992,12699,12700,12701,12702,12703,12704,12705,12706,12707,12708,12709,12710, #12672
12711,12712,12713,12714,12715,12716,12717,12718,12719,12720,12721,12722,12723,12724,12725,12726, #12688
12727,12728,12729,12730,12731,12732,12733,12734,12735,12736,12737,12738,12739,12740,12741,12742, #12704
12743,12744,12745,12746,12747,12748,12749,12750,12751,12752,12753,12754,12755,12756,12757,12758, #12720
12759,12760,12761,12762,12763,12764,12765,12766,12767,12768,12769,12770,12771,12772,12773,12774, #12736
12775,12776,12777,12778,4993,2175,12779,12780,12781,12782,12783,12784,12785,12786,4500,12787, #12752
12788,12789,12790,12791,12792,12793,12794,12795,12796,12797,12798,12799,12800,12801,12802,12803, #12768
12804,12805,12806,12807,12808,12809,12810,12811,12812,12813,12814,12815,12816,12817,12818,12819, #12784
12820,12821,12822,12823,12824,12825,12826,4198,3967,12827,12828,12829,12830,12831,12832,12833, #12800
12834,12835,12836,12837,12838,12839,12840,12841,12842,12843,12844,12845,12846,12847,12848,12849, #12816
12850,12851,12852,12853,12854,12855,12856,12857,12858,12859,12860,12861,4199,12862,12863,12864, #12832
12865,12866,12867,12868,12869,12870,12871,12872,12873,12874,12875,12876,12877,12878,12879,12880, #12848
12881,12882,12883,12884,12885,12886,12887,4501,12888,12889,12890,12891,12892,12893,12894,12895, #12864
12896,12897,12898,12899,12900,12901,12902,12903,12904,12905,12906,12907,12908,12909,12910,12911, #12880
12912,4994,12913,12914,12915,12916,12917,12918,12919,12920,12921,12922,12923,12924,12925,12926, #12896
12927,12928,12929,12930,12931,12932,12933,12934,12935,12936,12937,12938,12939,12940,12941,12942, #12912
12943,12944,12945,12946,12947,12948,12949,12950,12951,12952,12953,12954,12955,12956,1772,12957, #12928
12958,12959,12960,12961,12962,12963,12964,12965,12966,12967,12968,12969,12970,12971,12972,12973, #12944
12974,12975,12976,12977,12978,12979,12980,12981,12982,12983,12984,12985,12986,12987,12988,12989, #12960
12990,12991,12992,12993,12994,12995,12996,12997,4502,12998,4503,12999,13000,13001,13002,13003, #12976
4504,13004,13005,13006,13007,13008,13009,13010,13011,13012,13013,13014,13015,13016,13017,13018, #12992
13019,13020,13021,13022,13023,13024,13025,13026,13027,13028,13029,3449,13030,13031,13032,13033, #13008
13034,13035,13036,13037,13038,13039,13040,13041,13042,13043,13044,13045,13046,13047,13048,13049, #13024
13050,13051,13052,13053,13054,13055,13056,13057,13058,13059,13060,13061,13062,13063,13064,13065, #13040
13066,13067,13068,13069,13070,13071,13072,13073,13074,13075,13076,13077,13078,13079,13080,13081, #13056
13082,13083,13084,13085,13086,13087,13088,13089,13090,13091,13092,13093,13094,13095,13096,13097, #13072
13098,13099,13100,13101,13102,13103,13104,13105,13106,13107,13108,13109,13110,13111,13112,13113, #13088
13114,13115,13116,13117,13118,3968,13119,4995,13120,13121,13122,13123,13124,13125,13126,13127, #13104
4505,13128,13129,13130,13131,13132,13133,13134,4996,4506,13135,13136,13137,13138,13139,4997, #13120
13140,13141,13142,13143,13144,13145,13146,13147,13148,13149,13150,13151,13152,13153,13154,13155, #13136
13156,13157,13158,13159,4998,13160,13161,13162,13163,13164,13165,13166,13167,13168,13169,13170, #13152
13171,13172,13173,13174,13175,13176,4999,13177,13178,13179,13180,13181,13182,13183,13184,13185, #13168
13186,13187,13188,13189,13190,13191,13192,13193,13194,13195,13196,13197,13198,13199,13200,13201, #13184
13202,13203,13204,13205,13206,5000,13207,13208,13209,13210,13211,13212,13213,13214,13215,13216, #13200
13217,13218,13219,13220,13221,13222,13223,13224,13225,13226,13227,4200,5001,13228,13229,13230, #13216
13231,13232,13233,13234,13235,13236,13237,13238,13239,13240,3969,13241,13242,13243,13244,3970, #13232
13245,13246,13247,13248,13249,13250,13251,13252,13253,13254,13255,13256,13257,13258,13259,13260, #13248
13261,13262,13263,13264,13265,13266,13267,13268,3450,13269,13270,13271,13272,13273,13274,13275, #13264
13276,5002,13277,13278,13279,13280,13281,13282,13283,13284,13285,13286,13287,13288,13289,13290, #13280
13291,13292,13293,13294,13295,13296,13297,13298,13299,13300,13301,13302,3813,13303,13304,13305, #13296
13306,13307,13308,13309,13310,13311,13312,13313,13314,13315,13316,13317,13318,13319,13320,13321, #13312
13322,13323,13324,13325,13326,13327,13328,4507,13329,13330,13331,13332,13333,13334,13335,13336, #13328
13337,13338,13339,13340,13341,5003,13342,13343,13344,13345,13346,13347,13348,13349,13350,13351, #13344
13352,13353,13354,13355,13356,13357,13358,13359,13360,13361,13362,13363,13364,13365,13366,13367, #13360
5004,13368,13369,13370,13371,13372,13373,13374,13375,13376,13377,13378,13379,13380,13381,13382, #13376
13383,13384,13385,13386,13387,13388,13389,13390,13391,13392,13393,13394,13395,13396,13397,13398, #13392
13399,13400,13401,13402,13403,13404,13405,13406,13407,13408,13409,13410,13411,13412,13413,13414, #13408
13415,13416,13417,13418,13419,13420,13421,13422,13423,13424,13425,13426,13427,13428,13429,13430, #13424
13431,13432,4508,13433,13434,13435,4201,13436,13437,13438,13439,13440,13441,13442,13443,13444, #13440
13445,13446,13447,13448,13449,13450,13451,13452,13453,13454,13455,13456,13457,5005,13458,13459, #13456
13460,13461,13462,13463,13464,13465,13466,13467,13468,13469,13470,4509,13471,13472,13473,13474, #13472
13475,13476,13477,13478,13479,13480,13481,13482,13483,13484,13485,13486,13487,13488,13489,13490, #13488
13491,13492,13493,13494,13495,13496,13497,13498,13499,13500,13501,13502,13503,13504,13505,13506, #13504
13507,13508,13509,13510,13511,13512,13513,13514,13515,13516,13517,13518,13519,13520,13521,13522, #13520
13523,13524,13525,13526,13527,13528,13529,13530,13531,13532,13533,13534,13535,13536,13537,13538, #13536
13539,13540,13541,13542,13543,13544,13545,13546,13547,13548,13549,13550,13551,13552,13553,13554, #13552
13555,13556,13557,13558,13559,13560,13561,13562,13563,13564,13565,13566,13567,13568,13569,13570, #13568
13571,13572,13573,13574,13575,13576,13577,13578,13579,13580,13581,13582,13583,13584,13585,13586, #13584
13587,13588,13589,13590,13591,13592,13593,13594,13595,13596,13597,13598,13599,13600,13601,13602, #13600
13603,13604,13605,13606,13607,13608,13609,13610,13611,13612,13613,13614,13615,13616,13617,13618, #13616
13619,13620,13621,13622,13623,13624,13625,13626,13627,13628,13629,13630,13631,13632,13633,13634, #13632
13635,13636,13637,13638,13639,13640,13641,13642,5006,13643,13644,13645,13646,13647,13648,13649, #13648
13650,13651,5007,13652,13653,13654,13655,13656,13657,13658,13659,13660,13661,13662,13663,13664, #13664
13665,13666,13667,13668,13669,13670,13671,13672,13673,13674,13675,13676,13677,13678,13679,13680, #13680
13681,13682,13683,13684,13685,13686,13687,13688,13689,13690,13691,13692,13693,13694,13695,13696, #13696
13697,13698,13699,13700,13701,13702,13703,13704,13705,13706,13707,13708,13709,13710,13711,13712, #13712
13713,13714,13715,13716,13717,13718,13719,13720,13721,13722,13723,13724,13725,13726,13727,13728, #13728
13729,13730,13731,13732,13733,13734,13735,13736,13737,13738,13739,13740,13741,13742,13743,13744, #13744
13745,13746,13747,13748,13749,13750,13751,13752,13753,13754,13755,13756,13757,13758,13759,13760, #13760
13761,13762,13763,13764,13765,13766,13767,13768,13769,13770,13771,13772,13773,13774,3273,13775, #13776
13776,13777,13778,13779,13780,13781,13782,13783,13784,13785,13786,13787,13788,13789,13790,13791, #13792
13792,13793,13794,13795,13796,13797,13798,13799,13800,13801,13802,13803,13804,13805,13806,13807, #13808
13808,13809,13810,13811,13812,13813,13814,13815,13816,13817,13818,13819,13820,13821,13822,13823, #13824
13824,13825,13826,13827,13828,13829,13830,13831,13832,13833,13834,13835,13836,13837,13838,13839, #13840
13840,13841,13842,13843,13844,13845,13846,13847,13848,13849,13850,13851,13852,13853,13854,13855, #13856
13856,13857,13858,13859,13860,13861,13862,13863,13864,13865,13866,13867,13868,13869,13870,13871, #13872
13872,13873,13874,13875,13876,13877,13878,13879,13880,13881,13882,13883,13884,13885,13886,13887, #13888
13888,13889,13890,13891,13892,13893,13894,13895,13896,13897,13898,13899,13900,13901,13902,13903, #13904
13904,13905,13906,13907,13908,13909,13910,13911,13912,13913,13914,13915,13916,13917,13918,13919, #13920
13920,13921,13922,13923,13924,13925,13926,13927,13928,13929,13930,13931,13932,13933,13934,13935, #13936
13936,13937,13938,13939,13940,13941,13942,13943,13944,13945,13946,13947,13948,13949,13950,13951, #13952
13952,13953,13954,13955,13956,13957,13958,13959,13960,13961,13962,13963,13964,13965,13966,13967, #13968
13968,13969,13970,13971,13972) #13973
2299, 208,3546,4161,2020, 330,4438,3944,2906,2499,3799,4439,4811,5796,5797,5798, # 5376
)
# flake8: noqa

15
thirdparty/chardet/big5prober.py vendored
View File

@ -28,15 +28,20 @@
from .mbcharsetprober import MultiByteCharSetProber
from .codingstatemachine import CodingStateMachine
from .chardistribution import Big5DistributionAnalysis
from .mbcssm import Big5SMModel
from .mbcssm import BIG5_SM_MODEL
class Big5Prober(MultiByteCharSetProber):
def __init__(self):
MultiByteCharSetProber.__init__(self)
self._mCodingSM = CodingStateMachine(Big5SMModel)
self._mDistributionAnalyzer = Big5DistributionAnalysis()
super(Big5Prober, self).__init__()
self.coding_sm = CodingStateMachine(BIG5_SM_MODEL)
self.distribution_analyzer = Big5DistributionAnalysis()
self.reset()
def get_charset_name(self):
@property
def charset_name(self):
return "Big5"
@property
def language(self):
return "Chinese"

80
thirdparty/chardet/chardetect.py vendored
View File

@ -1,80 +0,0 @@
#!/usr/bin/env python
"""
Script which takes one or more file paths and reports on their detected
encodings
Example::
% chardetect somefile someotherfile
somefile: windows-1252 with confidence 0.5
someotherfile: ascii with confidence 1.0
If no paths are provided, it takes its input from stdin.
"""
from __future__ import absolute_import, print_function, unicode_literals
import argparse
import sys
from io import open
from chardet import __version__
from chardet.universaldetector import UniversalDetector
def description_of(lines, name='stdin'):
"""
Return a string describing the probable encoding of a file or
list of strings.
:param lines: The lines to get the encoding of.
:type lines: Iterable of bytes
:param name: Name of file or collection of lines
:type name: str
"""
u = UniversalDetector()
for line in lines:
u.feed(line)
u.close()
result = u.result
if result['encoding']:
return '{0}: {1} with confidence {2}'.format(name, result['encoding'],
result['confidence'])
else:
return '{0}: no result'.format(name)
def main(argv=None):
'''
Handles command line arguments and gets things started.
:param argv: List of arguments, as if specified on the command-line.
If None, ``sys.argv[1:]`` is used instead.
:type argv: list of str
'''
# Get command line arguments
parser = argparse.ArgumentParser(
description="Takes one or more file paths and reports their detected \
encodings",
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
conflict_handler='resolve')
parser.add_argument('input',
help='File whose encoding we would like to determine.',
type=argparse.FileType('rb'), nargs='*',
default=[sys.stdin])
parser.add_argument('--version', action='version',
version='%(prog)s {0}'.format(__version__))
args = parser.parse_args(argv)
for f in args.input:
if f.isatty():
print("You are running chardetect interactively. Press " +
"CTRL-D twice at the start of a blank line to signal the " +
"end of your input. If you want help, run chardetect " +
"--help\n", file=sys.stderr)
print(description_of(f, f.name))
if __name__ == '__main__':
main()

140
thirdparty/chardet/chardistribution.py vendored
View File

@ -25,82 +25,84 @@
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
from .euctwfreq import (EUCTWCharToFreqOrder, EUCTW_TABLE_SIZE,
from .euctwfreq import (EUCTW_CHAR_TO_FREQ_ORDER, EUCTW_TABLE_SIZE,
EUCTW_TYPICAL_DISTRIBUTION_RATIO)
from .euckrfreq import (EUCKRCharToFreqOrder, EUCKR_TABLE_SIZE,
from .euckrfreq import (EUCKR_CHAR_TO_FREQ_ORDER, EUCKR_TABLE_SIZE,
EUCKR_TYPICAL_DISTRIBUTION_RATIO)
from .gb2312freq import (GB2312CharToFreqOrder, GB2312_TABLE_SIZE,
from .gb2312freq import (GB2312_CHAR_TO_FREQ_ORDER, GB2312_TABLE_SIZE,
GB2312_TYPICAL_DISTRIBUTION_RATIO)
from .big5freq import (Big5CharToFreqOrder, BIG5_TABLE_SIZE,
from .big5freq import (BIG5_CHAR_TO_FREQ_ORDER, BIG5_TABLE_SIZE,
BIG5_TYPICAL_DISTRIBUTION_RATIO)
from .jisfreq import (JISCharToFreqOrder, JIS_TABLE_SIZE,
from .jisfreq import (JIS_CHAR_TO_FREQ_ORDER, JIS_TABLE_SIZE,
JIS_TYPICAL_DISTRIBUTION_RATIO)
from .compat import wrap_ord
class CharDistributionAnalysis(object):
ENOUGH_DATA_THRESHOLD = 1024
SURE_YES = 0.99
SURE_NO = 0.01
MINIMUM_DATA_THRESHOLD = 3
class CharDistributionAnalysis:
def __init__(self):
# Mapping table to get frequency order from char order (get from
# GetOrder())
self._mCharToFreqOrder = None
self._mTableSize = None # Size of above table
self._char_to_freq_order = None
self._table_size = None # Size of above table
# This is a constant value which varies from language to language,
# used in calculating confidence. See
# http://www.mozilla.org/projects/intl/UniversalCharsetDetection.html
# for further detail.
self._mTypicalDistributionRatio = None
self.typical_distribution_ratio = None
self._done = None
self._total_chars = None
self._freq_chars = None
self.reset()
def reset(self):
"""reset analyser, clear any state"""
# If this flag is set to True, detection is done and conclusion has
# been made
self._mDone = False
self._mTotalChars = 0 # Total characters encountered
self._done = False
self._total_chars = 0 # Total characters encountered
# The number of characters whose frequency order is less than 512
self._mFreqChars = 0
self._freq_chars = 0
def feed(self, aBuf, aCharLen):
def feed(self, char, char_len):
"""feed a character with known length"""
if aCharLen == 2:
if char_len == 2:
# we only care about 2-bytes character in our distribution analysis
order = self.get_order(aBuf)
order = self.get_order(char)
else:
order = -1
if order >= 0:
self._mTotalChars += 1
self._total_chars += 1
# order is valid
if order < self._mTableSize:
if 512 > self._mCharToFreqOrder[order]:
self._mFreqChars += 1
if order < self._table_size:
if 512 > self._char_to_freq_order[order]:
self._freq_chars += 1
def get_confidence(self):
"""return confidence based on existing data"""
# if we didn't receive any character in our consideration range,
# return negative answer
if self._mTotalChars <= 0 or self._mFreqChars <= MINIMUM_DATA_THRESHOLD:
return SURE_NO
if self._total_chars <= 0 or self._freq_chars <= self.MINIMUM_DATA_THRESHOLD:
return self.SURE_NO
if self._mTotalChars != self._mFreqChars:
r = (self._mFreqChars / ((self._mTotalChars - self._mFreqChars)
* self._mTypicalDistributionRatio))
if r < SURE_YES:
if self._total_chars != self._freq_chars:
r = (self._freq_chars / ((self._total_chars - self._freq_chars)
* self.typical_distribution_ratio))
if r < self.SURE_YES:
return r
# normalize confidence (we don't want to be 100% sure)
return SURE_YES
return self.SURE_YES
def got_enough_data(self):
# It is not necessary to receive all data to draw conclusion.
# For charset detection, certain amount of data is enough
return self._mTotalChars > ENOUGH_DATA_THRESHOLD
return self._total_chars > self.ENOUGH_DATA_THRESHOLD
def get_order(self, aBuf):
def get_order(self, byte_str):
# We do not handle characters based on the original encoding string,
# but convert this encoding string to a number, here called order.
# This allows multiple encodings of a language to share one frequency
@ -110,55 +112,55 @@ class CharDistributionAnalysis:
class EUCTWDistributionAnalysis(CharDistributionAnalysis):
def __init__(self):
CharDistributionAnalysis.__init__(self)
self._mCharToFreqOrder = EUCTWCharToFreqOrder
self._mTableSize = EUCTW_TABLE_SIZE
self._mTypicalDistributionRatio = EUCTW_TYPICAL_DISTRIBUTION_RATIO
super(EUCTWDistributionAnalysis, self).__init__()
self._char_to_freq_order = EUCTW_CHAR_TO_FREQ_ORDER
self._table_size = EUCTW_TABLE_SIZE
self.typical_distribution_ratio = EUCTW_TYPICAL_DISTRIBUTION_RATIO
def get_order(self, aBuf):
def get_order(self, byte_str):
# for euc-TW encoding, we are interested
# first byte range: 0xc4 -- 0xfe
# second byte range: 0xa1 -- 0xfe
# no validation needed here. State machine has done that
first_char = wrap_ord(aBuf[0])
first_char = byte_str[0]
if first_char >= 0xC4:
return 94 * (first_char - 0xC4) + wrap_ord(aBuf[1]) - 0xA1
return 94 * (first_char - 0xC4) + byte_str[1] - 0xA1
else:
return -1
class EUCKRDistributionAnalysis(CharDistributionAnalysis):
def __init__(self):
CharDistributionAnalysis.__init__(self)
self._mCharToFreqOrder = EUCKRCharToFreqOrder
self._mTableSize = EUCKR_TABLE_SIZE
self._mTypicalDistributionRatio = EUCKR_TYPICAL_DISTRIBUTION_RATIO
super(EUCKRDistributionAnalysis, self).__init__()
self._char_to_freq_order = EUCKR_CHAR_TO_FREQ_ORDER
self._table_size = EUCKR_TABLE_SIZE
self.typical_distribution_ratio = EUCKR_TYPICAL_DISTRIBUTION_RATIO
def get_order(self, aBuf):
def get_order(self, byte_str):
# for euc-KR encoding, we are interested
# first byte range: 0xb0 -- 0xfe
# second byte range: 0xa1 -- 0xfe
# no validation needed here. State machine has done that
first_char = wrap_ord(aBuf[0])
first_char = byte_str[0]
if first_char >= 0xB0:
return 94 * (first_char - 0xB0) + wrap_ord(aBuf[1]) - 0xA1
return 94 * (first_char - 0xB0) + byte_str[1] - 0xA1
else:
return -1
class GB2312DistributionAnalysis(CharDistributionAnalysis):
def __init__(self):
CharDistributionAnalysis.__init__(self)
self._mCharToFreqOrder = GB2312CharToFreqOrder
self._mTableSize = GB2312_TABLE_SIZE
self._mTypicalDistributionRatio = GB2312_TYPICAL_DISTRIBUTION_RATIO
super(GB2312DistributionAnalysis, self).__init__()
self._char_to_freq_order = GB2312_CHAR_TO_FREQ_ORDER
self._table_size = GB2312_TABLE_SIZE
self.typical_distribution_ratio = GB2312_TYPICAL_DISTRIBUTION_RATIO
def get_order(self, aBuf):
def get_order(self, byte_str):
# for GB2312 encoding, we are interested
# first byte range: 0xb0 -- 0xfe
# second byte range: 0xa1 -- 0xfe
# no validation needed here. State machine has done that
first_char, second_char = wrap_ord(aBuf[0]), wrap_ord(aBuf[1])
first_char, second_char = byte_str[0], byte_str[1]
if (first_char >= 0xB0) and (second_char >= 0xA1):
return 94 * (first_char - 0xB0) + second_char - 0xA1
else:
@ -167,17 +169,17 @@ class GB2312DistributionAnalysis(CharDistributionAnalysis):
class Big5DistributionAnalysis(CharDistributionAnalysis):
def __init__(self):
CharDistributionAnalysis.__init__(self)
self._mCharToFreqOrder = Big5CharToFreqOrder
self._mTableSize = BIG5_TABLE_SIZE
self._mTypicalDistributionRatio = BIG5_TYPICAL_DISTRIBUTION_RATIO
super(Big5DistributionAnalysis, self).__init__()
self._char_to_freq_order = BIG5_CHAR_TO_FREQ_ORDER
self._table_size = BIG5_TABLE_SIZE
self.typical_distribution_ratio = BIG5_TYPICAL_DISTRIBUTION_RATIO
def get_order(self, aBuf):
def get_order(self, byte_str):
# for big5 encoding, we are interested
# first byte range: 0xa4 -- 0xfe
# second byte range: 0x40 -- 0x7e , 0xa1 -- 0xfe
# no validation needed here. State machine has done that
first_char, second_char = wrap_ord(aBuf[0]), wrap_ord(aBuf[1])
first_char, second_char = byte_str[0], byte_str[1]
if first_char >= 0xA4:
if second_char >= 0xA1:
return 157 * (first_char - 0xA4) + second_char - 0xA1 + 63
@ -189,17 +191,17 @@ class Big5DistributionAnalysis(CharDistributionAnalysis):
class SJISDistributionAnalysis(CharDistributionAnalysis):
def __init__(self):
CharDistributionAnalysis.__init__(self)
self._mCharToFreqOrder = JISCharToFreqOrder
self._mTableSize = JIS_TABLE_SIZE
self._mTypicalDistributionRatio = JIS_TYPICAL_DISTRIBUTION_RATIO
super(SJISDistributionAnalysis, self).__init__()
self._char_to_freq_order = JIS_CHAR_TO_FREQ_ORDER
self._table_size = JIS_TABLE_SIZE
self.typical_distribution_ratio = JIS_TYPICAL_DISTRIBUTION_RATIO
def get_order(self, aBuf):
def get_order(self, byte_str):
# for sjis encoding, we are interested
# first byte range: 0x81 -- 0x9f , 0xe0 -- 0xfe
# second byte range: 0x40 -- 0x7e, 0x81 -- oxfe
# no validation needed here. State machine has done that
first_char, second_char = wrap_ord(aBuf[0]), wrap_ord(aBuf[1])
first_char, second_char = byte_str[0], byte_str[1]
if (first_char >= 0x81) and (first_char <= 0x9F):
order = 188 * (first_char - 0x81)
elif (first_char >= 0xE0) and (first_char <= 0xEF):
@ -214,18 +216,18 @@ class SJISDistributionAnalysis(CharDistributionAnalysis):
class EUCJPDistributionAnalysis(CharDistributionAnalysis):
def __init__(self):
CharDistributionAnalysis.__init__(self)
self._mCharToFreqOrder = JISCharToFreqOrder
self._mTableSize = JIS_TABLE_SIZE
self._mTypicalDistributionRatio = JIS_TYPICAL_DISTRIBUTION_RATIO
super(EUCJPDistributionAnalysis, self).__init__()
self._char_to_freq_order = JIS_CHAR_TO_FREQ_ORDER
self._table_size = JIS_TABLE_SIZE
self.typical_distribution_ratio = JIS_TYPICAL_DISTRIBUTION_RATIO
def get_order(self, aBuf):
def get_order(self, byte_str):
# for euc-JP encoding, we are interested
# first byte range: 0xa0 -- 0xfe
# second byte range: 0xa1 -- 0xfe
# no validation needed here. State machine has done that
char = wrap_ord(aBuf[0])
char = byte_str[0]
if char >= 0xA0:
return 94 * (char - 0xA1) + wrap_ord(aBuf[1]) - 0xa1
return 94 * (char - 0xA1) + byte_str[1] - 0xa1
else:
return -1

102
thirdparty/chardet/charsetgroupprober.py vendored
View File

@ -25,82 +25,82 @@
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
from . import constants
import sys
from .enums import ProbingState
from .charsetprober import CharSetProber
class CharSetGroupProber(CharSetProber):
def __init__(self):
CharSetProber.__init__(self)
self._mActiveNum = 0
self._mProbers = []
self._mBestGuessProber = None
def __init__(self, lang_filter=None):
super(CharSetGroupProber, self).__init__(lang_filter=lang_filter)
self._active_num = 0
self.probers = []
self._best_guess_prober = None
def reset(self):
CharSetProber.reset(self)
self._mActiveNum = 0
for prober in self._mProbers:
super(CharSetGroupProber, self).reset()
self._active_num = 0
for prober in self.probers:
if prober:
prober.reset()
prober.active = True
self._mActiveNum += 1
self._mBestGuessProber = None
self._active_num += 1
self._best_guess_prober = None
def get_charset_name(self):
if not self._mBestGuessProber:
@property
def charset_name(self):
if not self._best_guess_prober:
self.get_confidence()
if not self._mBestGuessProber:
if not self._best_guess_prober:
return None
# self._mBestGuessProber = self._mProbers[0]
return self._mBestGuessProber.get_charset_name()
return self._best_guess_prober.charset_name
def feed(self, aBuf):
for prober in self._mProbers:
@property
def language(self):
if not self._best_guess_prober:
self.get_confidence()
if not self._best_guess_prober:
return None
return self._best_guess_prober.language
def feed(self, byte_str):
for prober in self.probers:
if not prober:
continue
if not prober.active:
continue
st = prober.feed(aBuf)
if not st:
state = prober.feed(byte_str)
if not state:
continue
if st == constants.eFoundIt:
self._mBestGuessProber = prober
return self.get_state()
elif st == constants.eNotMe:
if state == ProbingState.FOUND_IT:
self._best_guess_prober = prober
return self.state
elif state == ProbingState.NOT_ME:
prober.active = False
self._mActiveNum -= 1
if self._mActiveNum <= 0:
self._mState = constants.eNotMe
return self.get_state()
return self.get_state()
self._active_num -= 1
if self._active_num <= 0:
self._state = ProbingState.NOT_ME
return self.state
return self.state
def get_confidence(self):
st = self.get_state()
if st == constants.eFoundIt:
state = self.state
if state == ProbingState.FOUND_IT:
return 0.99
elif st == constants.eNotMe:
elif state == ProbingState.NOT_ME:
return 0.01
bestConf = 0.0
self._mBestGuessProber = None
for prober in self._mProbers:
best_conf = 0.0
self._best_guess_prober = None
for prober in self.probers:
if not prober:
continue
if not prober.active:
if constants._debug:
sys.stderr.write(prober.get_charset_name()
+ ' not active\n')
self.logger.debug('%s not active', prober.charset_name)
continue
cf = prober.get_confidence()
if constants._debug:
sys.stderr.write('%s confidence = %s\n' %
(prober.get_charset_name(), cf))
if bestConf < cf:
bestConf = cf
self._mBestGuessProber = prober
if not self._mBestGuessProber:
conf = prober.get_confidence()
self.logger.debug('%s %s confidence = %s', prober.charset_name, prober.language, conf)
if best_conf < conf:
best_conf = conf
self._best_guess_prober = prober
if not self._best_guess_prober:
return 0.0
return bestConf
# else:
# self._mBestGuessProber = self._mProbers[0]
# return self._mBestGuessProber.get_confidence()
return best_conf

119
thirdparty/chardet/charsetprober.py vendored
View File

@ -26,37 +26,120 @@
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
from . import constants
import logging
import re
from .enums import ProbingState
class CharSetProber:
def __init__(self):
pass
class CharSetProber(object):
SHORTCUT_THRESHOLD = 0.95
def __init__(self, lang_filter=None):
self._state = None
self.lang_filter = lang_filter
self.logger = logging.getLogger(__name__)
def reset(self):
self._mState = constants.eDetecting
self._state = ProbingState.DETECTING
def get_charset_name(self):
@property
def charset_name(self):
return None
def feed(self, aBuf):
def feed(self, buf):
pass
def get_state(self):
return self._mState
@property
def state(self):
return self._state
def get_confidence(self):
return 0.0
def filter_high_bit_only(self, aBuf):
aBuf = re.sub(b'([\x00-\x7F])+', b' ', aBuf)
return aBuf
@staticmethod
def filter_high_byte_only(buf):
buf = re.sub(b'([\x00-\x7F])+', b' ', buf)
return buf
def filter_without_english_letters(self, aBuf):
aBuf = re.sub(b'([A-Za-z])+', b' ', aBuf)
return aBuf
@staticmethod
def filter_international_words(buf):
"""
We define three types of bytes:
alphabet: english alphabets [a-zA-Z]
international: international characters [\x80-\xFF]
marker: everything else [^a-zA-Z\x80-\xFF]
def filter_with_english_letters(self, aBuf):
# TODO
return aBuf
The input buffer can be thought to contain a series of words delimited
by markers. This function works to filter all words that contain at
least one international character. All contiguous sequences of markers
are replaced by a single space ascii character.
This filter applies to all scripts which do not use English characters.
"""
filtered = bytearray()
# This regex expression filters out only words that have at-least one
# international character. The word may include one marker character at
# the end.
words = re.findall(b'[a-zA-Z]*[\x80-\xFF]+[a-zA-Z]*[^a-zA-Z\x80-\xFF]?',
buf)
for word in words:
filtered.extend(word[:-1])
# If the last character in the word is a marker, replace it with a
# space as markers shouldn't affect our analysis (they are used
# similarly across all languages and may thus have similar
# frequencies).
last_char = word[-1:]
if not last_char.isalpha() and last_char < b'\x80':
last_char = b' '
filtered.extend(last_char)
return filtered
@staticmethod
def filter_with_english_letters(buf):
"""
Returns a copy of ``buf`` that retains only the sequences of English
alphabet and high byte characters that are not between <> characters.
Also retains English alphabet and high byte characters immediately
before occurrences of >.
This filter can be applied to all scripts which contain both English
characters and extended ASCII characters, but is currently only used by
``Latin1Prober``.
"""
filtered = bytearray()
in_tag = False
prev = 0
for curr in range(len(buf)):
# Slice here to get bytes instead of an int with Python 3
buf_char = buf[curr:curr + 1]
# Check if we're coming out of or entering an HTML tag
if buf_char == b'>':
in_tag = False
elif buf_char == b'<':
in_tag = True
# If current character is not extended-ASCII and not alphabetic...
if buf_char < b'\x80' and not buf_char.isalpha():
# ...and we're not in a tag
if curr > prev and not in_tag:
# Keep everything after last non-extended-ASCII,
# non-alphabetic character
filtered.extend(buf[prev:curr])
# Output a space to delimit stretch we kept
filtered.extend(b' ')
prev = curr + 1
# If we're not in a tag...
if not in_tag:
# Keep everything after last non-extended-ASCII, non-alphabetic
# character
filtered.extend(buf[prev:])
return filtered

67
thirdparty/chardet/codingstatemachine.py vendored
View File

@ -25,37 +25,64 @@
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
from .constants import eStart
from .compat import wrap_ord
import logging
from .enums import MachineState
class CodingStateMachine:
class CodingStateMachine(object):
"""
A state machine to verify a byte sequence for a particular encoding. For
each byte the detector receives, it will feed that byte to every active
state machine available, one byte at a time. The state machine changes its
state based on its previous state and the byte it receives. There are 3
states in a state machine that are of interest to an auto-detector:
START state: This is the state to start with, or a legal byte sequence
(i.e. a valid code point) for character has been identified.
ME state: This indicates that the state machine identified a byte sequence
that is specific to the charset it is designed for and that
there is no other possible encoding which can contain this byte
sequence. This will to lead to an immediate positive answer for
the detector.
ERROR state: This indicates the state machine identified an illegal byte
sequence for that encoding. This will lead to an immediate
negative answer for this encoding. Detector will exclude this
encoding from consideration from here on.
"""
def __init__(self, sm):
self._mModel = sm
self._mCurrentBytePos = 0
self._mCurrentCharLen = 0
self._model = sm
self._curr_byte_pos = 0
self._curr_char_len = 0
self._curr_state = None
self.logger = logging.getLogger(__name__)
self.reset()
def reset(self):
self._mCurrentState = eStart
self._curr_state = MachineState.START
def next_state(self, c):
# for each byte we get its class
# if it is first byte, we also get byte length
# PY3K: aBuf is a byte stream, so c is an int, not a byte
byteCls = self._mModel['classTable'][wrap_ord(c)]
if self._mCurrentState == eStart:
self._mCurrentBytePos = 0
self._mCurrentCharLen = self._mModel['charLenTable'][byteCls]
# from byte's class and stateTable, we get its next state
curr_state = (self._mCurrentState * self._mModel['classFactor']
+ byteCls)
self._mCurrentState = self._mModel['stateTable'][curr_state]
self._mCurrentBytePos += 1
return self._mCurrentState
byte_class = self._model['class_table'][c]
if self._curr_state == MachineState.START:
self._curr_byte_pos = 0
self._curr_char_len = self._model['char_len_table'][byte_class]
# from byte's class and state_table, we get its next state
curr_state = (self._curr_state * self._model['class_factor']
+ byte_class)
self._curr_state = self._model['state_table'][curr_state]
self._curr_byte_pos += 1
return self._curr_state
def get_current_charlen(self):
return self._mCurrentCharLen
return self._curr_char_len
def get_coding_state_machine(self):
return self._mModel['name']
return self._model['name']
@property
def language(self):
return self._model['language']

16
thirdparty/chardet/compat.py vendored
View File

@ -1,6 +1,7 @@
######################## BEGIN LICENSE BLOCK ########################
# Contributor(s):
# Ian Cordasco - port to Python
# Dan Blanchard
# Ian Cordasco
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
@ -22,13 +23,12 @@ import sys
if sys.version_info < (3, 0):
PY2 = True
PY3 = False
base_str = (str, unicode)
text_type = unicode
else:
PY2 = False
PY3 = True
base_str = (bytes, str)
def wrap_ord(a):
if sys.version_info < (3, 0) and isinstance(a, base_str):
return ord(a)
else:
return a
text_type = str

39
thirdparty/chardet/constants.py vendored
View File

@ -1,39 +0,0 @@
######################## BEGIN LICENSE BLOCK ########################
# The Original Code is Mozilla Universal charset detector code.
#
# The Initial Developer of the Original Code is
# Netscape Communications Corporation.
# Portions created by the Initial Developer are Copyright (C) 2001
# the Initial Developer. All Rights Reserved.
#
# Contributor(s):
# Mark Pilgrim - port to Python
# Shy Shalom - original C code
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2.1 of the License, or (at your option) any later version.
#
# This library is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with this library; if not, write to the Free Software
# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
_debug = 0
eDetecting = 0
eFoundIt = 1
eNotMe = 2
eStart = 0
eError = 1
eItsMe = 2
SHORTCUT_THRESHOLD = 0.95

19
thirdparty/chardet/cp949prober.py vendored
View File

@ -25,20 +25,25 @@
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
from .mbcharsetprober import MultiByteCharSetProber
from .codingstatemachine import CodingStateMachine
from .chardistribution import EUCKRDistributionAnalysis
from .mbcssm import CP949SMModel
from .codingstatemachine import CodingStateMachine
from .mbcharsetprober import MultiByteCharSetProber
from .mbcssm import CP949_SM_MODEL
class CP949Prober(MultiByteCharSetProber):
def __init__(self):
MultiByteCharSetProber.__init__(self)
self._mCodingSM = CodingStateMachine(CP949SMModel)
super(CP949Prober, self).__init__()
self.coding_sm = CodingStateMachine(CP949_SM_MODEL)
# NOTE: CP949 is a superset of EUC-KR, so the distribution should be
# not different.
self._mDistributionAnalyzer = EUCKRDistributionAnalysis()
self.distribution_analyzer = EUCKRDistributionAnalysis()
self.reset()
def get_charset_name(self):
@property
def charset_name(self):
return "CP949"
@property
def language(self):
return "Korean"

76
thirdparty/chardet/enums.py vendored Normal file
View File

@ -0,0 +1,76 @@
"""
All of the Enums that are used throughout the chardet package.
:author: Dan Blanchard (dan.blanchard@gmail.com)
"""
class InputState(object):
"""
This enum represents the different states a universal detector can be in.
"""
PURE_ASCII = 0
ESC_ASCII = 1
HIGH_BYTE = 2
class LanguageFilter(object):
"""
This enum represents the different language filters we can apply to a
``UniversalDetector``.
"""
CHINESE_SIMPLIFIED = 0x01
CHINESE_TRADITIONAL = 0x02
JAPANESE = 0x04
KOREAN = 0x08
NON_CJK = 0x10
ALL = 0x1F
CHINESE = CHINESE_SIMPLIFIED | CHINESE_TRADITIONAL
CJK = CHINESE | JAPANESE | KOREAN
class ProbingState(object):
"""
This enum represents the different states a prober can be in.
"""
DETECTING = 0
FOUND_IT = 1
NOT_ME = 2
class MachineState(object):
"""
This enum represents the different states a state machine can be in.
"""
START = 0
ERROR = 1
ITS_ME = 2
class SequenceLikelihood(object):
"""
This enum represents the likelihood of a character following the previous one.
"""
NEGATIVE = 0
UNLIKELY = 1
LIKELY = 2
POSITIVE = 3
@classmethod
def get_num_categories(cls):
""":returns: The number of likelihood categories in the enum."""
return 4
class CharacterCategory(object):
"""
This enum represents the different categories language models for
``SingleByteCharsetProber`` put characters into.
Anything less than CONTROL is considered a letter.
"""
UNDEFINED = 255
LINE_BREAK = 254
SYMBOL = 253
DIGIT = 252
CONTROL = 251

97
thirdparty/chardet/escprober.py vendored
View File

@ -25,62 +25,77 @@
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
from . import constants
from .escsm import (HZSMModel, ISO2022CNSMModel, ISO2022JPSMModel,
ISO2022KRSMModel)
from .charsetprober import CharSetProber
from .codingstatemachine import CodingStateMachine
from .compat import wrap_ord
from .enums import LanguageFilter, ProbingState, MachineState
from .escsm import (HZ_SM_MODEL, ISO2022CN_SM_MODEL, ISO2022JP_SM_MODEL,
ISO2022KR_SM_MODEL)
class EscCharSetProber(CharSetProber):
def __init__(self):
CharSetProber.__init__(self)
self._mCodingSM = [
CodingStateMachine(HZSMModel),
CodingStateMachine(ISO2022CNSMModel),
CodingStateMachine(ISO2022JPSMModel),
CodingStateMachine(ISO2022KRSMModel)
]
"""
This CharSetProber uses a "code scheme" approach for detecting encodings,
whereby easily recognizable escape or shift sequences are relied on to
identify these encodings.
"""
def __init__(self, lang_filter=None):
super(EscCharSetProber, self).__init__(lang_filter=lang_filter)
self.coding_sm = []
if self.lang_filter & LanguageFilter.CHINESE_SIMPLIFIED:
self.coding_sm.append(CodingStateMachine(HZ_SM_MODEL))
self.coding_sm.append(CodingStateMachine(ISO2022CN_SM_MODEL))
if self.lang_filter & LanguageFilter.JAPANESE:
self.coding_sm.append(CodingStateMachine(ISO2022JP_SM_MODEL))
if self.lang_filter & LanguageFilter.KOREAN:
self.coding_sm.append(CodingStateMachine(ISO2022KR_SM_MODEL))
self.active_sm_count = None
self._detected_charset = None
self._detected_language = None
self._state = None
self.reset()
def reset(self):
CharSetProber.reset(self)
for codingSM in self._mCodingSM:
if not codingSM:
super(EscCharSetProber, self).reset()
for coding_sm in self.coding_sm:
if not coding_sm:
continue
codingSM.active = True
codingSM.reset()
self._mActiveSM = len(self._mCodingSM)
self._mDetectedCharset = None
coding_sm.active = True
coding_sm.reset()
self.active_sm_count = len(self.coding_sm)
self._detected_charset = None
self._detected_language = None
def get_charset_name(self):
return self._mDetectedCharset
@property
def charset_name(self):
return self._detected_charset
@property
def language(self):
return self._detected_language
def get_confidence(self):
if self._mDetectedCharset:
if self._detected_charset:
return 0.99
else:
return 0.00
def feed(self, aBuf):
for c in aBuf:
# PY3K: aBuf is a byte array, so c is an int, not a byte
for codingSM in self._mCodingSM:
if not codingSM:
def feed(self, byte_str):
for c in byte_str:
for coding_sm in self.coding_sm:
if not coding_sm or not coding_sm.active:
continue
if not codingSM.active:
continue
codingState = codingSM.next_state(wrap_ord(c))
if codingState == constants.eError:
codingSM.active = False
self._mActiveSM -= 1
if self._mActiveSM <= 0:
self._mState = constants.eNotMe
return self.get_state()
elif codingState == constants.eItsMe:
self._mState = constants.eFoundIt
self._mDetectedCharset = codingSM.get_coding_state_machine() # nopep8
return self.get_state()
coding_state = coding_sm.next_state(c)
if coding_state == MachineState.ERROR:
coding_sm.active = False
self.active_sm_count -= 1
if self.active_sm_count <= 0:
self._state = ProbingState.NOT_ME
return self.state
elif coding_state == MachineState.ITS_ME:
self._state = ProbingState.FOUND_IT
self._detected_charset = coding_sm.get_coding_state_machine()
self._detected_language = coding_sm.language
return self.state
return self.get_state()
return self.state

128
thirdparty/chardet/escsm.py vendored
View File

@ -25,9 +25,9 @@
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
from .constants import eStart, eError, eItsMe
from .enums import MachineState
HZ_cls = (
HZ_CLS = (
1,0,0,0,0,0,0,0, # 00 - 07
0,0,0,0,0,0,0,0, # 08 - 0f
0,0,0,0,0,0,0,0, # 10 - 17
@ -62,24 +62,25 @@ HZ_cls = (
1,1,1,1,1,1,1,1, # f8 - ff
)
HZ_st = (
eStart,eError, 3,eStart,eStart,eStart,eError,eError,# 00-07
eError,eError,eError,eError,eItsMe,eItsMe,eItsMe,eItsMe,# 08-0f
eItsMe,eItsMe,eError,eError,eStart,eStart, 4,eError,# 10-17
5,eError, 6,eError, 5, 5, 4,eError,# 18-1f
4,eError, 4, 4, 4,eError, 4,eError,# 20-27
4,eItsMe,eStart,eStart,eStart,eStart,eStart,eStart,# 28-2f
HZ_ST = (
MachineState.START,MachineState.ERROR, 3,MachineState.START,MachineState.START,MachineState.START,MachineState.ERROR,MachineState.ERROR,# 00-07
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,# 08-0f
MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ERROR,MachineState.ERROR,MachineState.START,MachineState.START, 4,MachineState.ERROR,# 10-17
5,MachineState.ERROR, 6,MachineState.ERROR, 5, 5, 4,MachineState.ERROR,# 18-1f
4,MachineState.ERROR, 4, 4, 4,MachineState.ERROR, 4,MachineState.ERROR,# 20-27
4,MachineState.ITS_ME,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START,# 28-2f
)
HZCharLenTable = (0, 0, 0, 0, 0, 0)
HZ_CHAR_LEN_TABLE = (0, 0, 0, 0, 0, 0)
HZSMModel = {'classTable': HZ_cls,
'classFactor': 6,
'stateTable': HZ_st,
'charLenTable': HZCharLenTable,
'name': "HZ-GB-2312"}
HZ_SM_MODEL = {'class_table': HZ_CLS,
'class_factor': 6,
'state_table': HZ_ST,
'char_len_table': HZ_CHAR_LEN_TABLE,
'name': "HZ-GB-2312",
'language': 'Chinese'}
ISO2022CN_cls = (
ISO2022CN_CLS = (
2,0,0,0,0,0,0,0, # 00 - 07
0,0,0,0,0,0,0,0, # 08 - 0f
0,0,0,0,0,0,0,0, # 10 - 17
@ -114,26 +115,27 @@ ISO2022CN_cls = (
2,2,2,2,2,2,2,2, # f8 - ff
)
ISO2022CN_st = (
eStart, 3,eError,eStart,eStart,eStart,eStart,eStart,# 00-07
eStart,eError,eError,eError,eError,eError,eError,eError,# 08-0f
eError,eError,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,# 10-17
eItsMe,eItsMe,eItsMe,eError,eError,eError, 4,eError,# 18-1f
eError,eError,eError,eItsMe,eError,eError,eError,eError,# 20-27
5, 6,eError,eError,eError,eError,eError,eError,# 28-2f
eError,eError,eError,eItsMe,eError,eError,eError,eError,# 30-37
eError,eError,eError,eError,eError,eItsMe,eError,eStart,# 38-3f
ISO2022CN_ST = (
MachineState.START, 3,MachineState.ERROR,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START,# 00-07
MachineState.START,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,# 08-0f
MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,# 10-17
MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR, 4,MachineState.ERROR,# 18-1f
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,# 20-27
5, 6,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,# 28-2f
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,# 30-37
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ERROR,MachineState.START,# 38-3f
)
ISO2022CNCharLenTable = (0, 0, 0, 0, 0, 0, 0, 0, 0)
ISO2022CN_CHAR_LEN_TABLE = (0, 0, 0, 0, 0, 0, 0, 0, 0)
ISO2022CNSMModel = {'classTable': ISO2022CN_cls,
'classFactor': 9,
'stateTable': ISO2022CN_st,
'charLenTable': ISO2022CNCharLenTable,
'name': "ISO-2022-CN"}
ISO2022CN_SM_MODEL = {'class_table': ISO2022CN_CLS,
'class_factor': 9,
'state_table': ISO2022CN_ST,
'char_len_table': ISO2022CN_CHAR_LEN_TABLE,
'name': "ISO-2022-CN",
'language': 'Chinese'}
ISO2022JP_cls = (
ISO2022JP_CLS = (
2,0,0,0,0,0,0,0, # 00 - 07
0,0,0,0,0,0,2,2, # 08 - 0f
0,0,0,0,0,0,0,0, # 10 - 17
@ -168,27 +170,28 @@ ISO2022JP_cls = (
2,2,2,2,2,2,2,2, # f8 - ff
)
ISO2022JP_st = (
eStart, 3,eError,eStart,eStart,eStart,eStart,eStart,# 00-07
eStart,eStart,eError,eError,eError,eError,eError,eError,# 08-0f
eError,eError,eError,eError,eItsMe,eItsMe,eItsMe,eItsMe,# 10-17
eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eError,eError,# 18-1f
eError, 5,eError,eError,eError, 4,eError,eError,# 20-27
eError,eError,eError, 6,eItsMe,eError,eItsMe,eError,# 28-2f
eError,eError,eError,eError,eError,eError,eItsMe,eItsMe,# 30-37
eError,eError,eError,eItsMe,eError,eError,eError,eError,# 38-3f
eError,eError,eError,eError,eItsMe,eError,eStart,eStart,# 40-47
ISO2022JP_ST = (
MachineState.START, 3,MachineState.ERROR,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START,# 00-07
MachineState.START,MachineState.START,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,# 08-0f
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,# 10-17
MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ERROR,MachineState.ERROR,# 18-1f
MachineState.ERROR, 5,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR, 4,MachineState.ERROR,MachineState.ERROR,# 20-27
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR, 6,MachineState.ITS_ME,MachineState.ERROR,MachineState.ITS_ME,MachineState.ERROR,# 28-2f
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ITS_ME,# 30-37
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,# 38-3f
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ERROR,MachineState.START,MachineState.START,# 40-47
)
ISO2022JPCharLenTable = (0, 0, 0, 0, 0, 0, 0, 0, 0, 0)
ISO2022JP_CHAR_LEN_TABLE = (0, 0, 0, 0, 0, 0, 0, 0, 0, 0)
ISO2022JPSMModel = {'classTable': ISO2022JP_cls,
'classFactor': 10,
'stateTable': ISO2022JP_st,
'charLenTable': ISO2022JPCharLenTable,
'name': "ISO-2022-JP"}
ISO2022JP_SM_MODEL = {'class_table': ISO2022JP_CLS,
'class_factor': 10,
'state_table': ISO2022JP_ST,
'char_len_table': ISO2022JP_CHAR_LEN_TABLE,
'name': "ISO-2022-JP",
'language': 'Japanese'}
ISO2022KR_cls = (
ISO2022KR_CLS = (
2,0,0,0,0,0,0,0, # 00 - 07
0,0,0,0,0,0,0,0, # 08 - 0f
0,0,0,0,0,0,0,0, # 10 - 17
@ -223,20 +226,21 @@ ISO2022KR_cls = (
2,2,2,2,2,2,2,2, # f8 - ff
)
ISO2022KR_st = (
eStart, 3,eError,eStart,eStart,eStart,eError,eError,# 00-07
eError,eError,eError,eError,eItsMe,eItsMe,eItsMe,eItsMe,# 08-0f
eItsMe,eItsMe,eError,eError,eError, 4,eError,eError,# 10-17
eError,eError,eError,eError, 5,eError,eError,eError,# 18-1f
eError,eError,eError,eItsMe,eStart,eStart,eStart,eStart,# 20-27
ISO2022KR_ST = (
MachineState.START, 3,MachineState.ERROR,MachineState.START,MachineState.START,MachineState.START,MachineState.ERROR,MachineState.ERROR,# 00-07
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,# 08-0f
MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR, 4,MachineState.ERROR,MachineState.ERROR,# 10-17
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR, 5,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,# 18-1f
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.START,MachineState.START,MachineState.START,MachineState.START,# 20-27
)
ISO2022KRCharLenTable = (0, 0, 0, 0, 0, 0)
ISO2022KR_CHAR_LEN_TABLE = (0, 0, 0, 0, 0, 0)
ISO2022KR_SM_MODEL = {'class_table': ISO2022KR_CLS,
'class_factor': 6,
'state_table': ISO2022KR_ST,
'char_len_table': ISO2022KR_CHAR_LEN_TABLE,
'name': "ISO-2022-KR",
'language': 'Korean'}
ISO2022KRSMModel = {'classTable': ISO2022KR_cls,
'classFactor': 6,
'stateTable': ISO2022KR_st,
'charLenTable': ISO2022KRCharLenTable,
'name': "ISO-2022-KR"}
# flake8: noqa

84
thirdparty/chardet/eucjpprober.py vendored
View File

@ -25,68 +25,68 @@
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
import sys
from . import constants
from .enums import ProbingState, MachineState
from .mbcharsetprober import MultiByteCharSetProber
from .codingstatemachine import CodingStateMachine
from .chardistribution import EUCJPDistributionAnalysis
from .jpcntx import EUCJPContextAnalysis
from .mbcssm import EUCJPSMModel
from .mbcssm import EUCJP_SM_MODEL
if sys.version_info >= (3, 0):
xrange = range
class EUCJPProber(MultiByteCharSetProber):
def __init__(self):
MultiByteCharSetProber.__init__(self)
self._mCodingSM = CodingStateMachine(EUCJPSMModel)
self._mDistributionAnalyzer = EUCJPDistributionAnalysis()
self._mContextAnalyzer = EUCJPContextAnalysis()
super(EUCJPProber, self).__init__()
self.coding_sm = CodingStateMachine(EUCJP_SM_MODEL)
self.distribution_analyzer = EUCJPDistributionAnalysis()
self.context_analyzer = EUCJPContextAnalysis()
self.reset()
def reset(self):
MultiByteCharSetProber.reset(self)
self._mContextAnalyzer.reset()
super(EUCJPProber, self).reset()
self.context_analyzer.reset()
def get_charset_name(self):
@property
def charset_name(self):
return "EUC-JP"
def feed(self, aBuf):
aLen = len(aBuf)
for i in xrange(0, aLen):
# PY3K: aBuf is a byte array, so aBuf[i] is an int, not a byte
codingState = self._mCodingSM.next_state(aBuf[i])
if codingState == constants.eError:
if constants._debug:
sys.stderr.write(self.get_charset_name()
+ ' prober hit error at byte ' + str(i)
+ '\n')
self._mState = constants.eNotMe
@property
def language(self):
return "Japanese"
def feed(self, byte_str):
for i in range(len(byte_str)):
# PY3K: byte_str is a byte array, so byte_str[i] is an int, not a byte
coding_state = self.coding_sm.next_state(byte_str[i])
if coding_state == MachineState.ERROR:
self.logger.debug('%s %s prober hit error at byte %s',
self.charset_name, self.language, i)
self._state = ProbingState.NOT_ME
break
elif codingState == constants.eItsMe:
self._mState = constants.eFoundIt
elif coding_state == MachineState.ITS_ME:
self._state = ProbingState.FOUND_IT
break
elif codingState == constants.eStart:
charLen = self._mCodingSM.get_current_charlen()
elif coding_state == MachineState.START:
char_len = self.coding_sm.get_current_charlen()
if i == 0:
self._mLastChar[1] = aBuf[0]
self._mContextAnalyzer.feed(self._mLastChar, charLen)
self._mDistributionAnalyzer.feed(self._mLastChar, charLen)
self._last_char[1] = byte_str[0]
self.context_analyzer.feed(self._last_char, char_len)
self.distribution_analyzer.feed(self._last_char, char_len)
else:
self._mContextAnalyzer.feed(aBuf[i - 1:i + 1], charLen)
self._mDistributionAnalyzer.feed(aBuf[i - 1:i + 1],
charLen)
self.context_analyzer.feed(byte_str[i - 1:i + 1],
char_len)
self.distribution_analyzer.feed(byte_str[i - 1:i + 1],
char_len)
self._mLastChar[0] = aBuf[aLen - 1]
self._last_char[0] = byte_str[-1]
if self.get_state() == constants.eDetecting:
if (self._mContextAnalyzer.got_enough_data() and
(self.get_confidence() > constants.SHORTCUT_THRESHOLD)):
self._mState = constants.eFoundIt
if self.state == ProbingState.DETECTING:
if (self.context_analyzer.got_enough_data() and
(self.get_confidence() > self.SHORTCUT_THRESHOLD)):
self._state = ProbingState.FOUND_IT
return self.get_state()
return self.state
def get_confidence(self):
contxtCf = self._mContextAnalyzer.get_confidence()
distribCf = self._mDistributionAnalyzer.get_confidence()
return max(contxtCf, distribCf)
context_conf = self.context_analyzer.get_confidence()
distrib_conf = self.distribution_analyzer.get_confidence()
return max(context_conf, distrib_conf)

405
thirdparty/chardet/euckrfreq.py vendored
View File

@ -43,7 +43,7 @@ EUCKR_TYPICAL_DISTRIBUTION_RATIO = 6.0
EUCKR_TABLE_SIZE = 2352
# Char to FreqOrder table ,
EUCKRCharToFreqOrder = ( \
EUCKR_CHAR_TO_FREQ_ORDER = (
13, 130, 120,1396, 481,1719,1720, 328, 609, 212,1721, 707, 400, 299,1722, 87,
1397,1723, 104, 536,1117,1203,1724,1267, 685,1268, 508,1725,1726,1727,1728,1398,
1399,1729,1730,1731, 141, 621, 326,1057, 368,1732, 267, 488, 20,1733,1269,1734,
@ -191,406 +191,5 @@ EUCKRCharToFreqOrder = ( \
1009,2620,2621,2622,1538, 690,1328,2623, 955,2624,1539,2625,2626, 772,2627,2628,
2629,2630,2631, 924, 648, 863, 603,2632,2633, 934,1540, 864, 865,2634, 642,1042,
670,1190,2635,2636,2637,2638, 168,2639, 652, 873, 542,1054,1541,2640,2641,2642, # 512, 256
#Everything below is of no interest for detection purpose
2643,2644,2645,2646,2647,2648,2649,2650,2651,2652,2653,2654,2655,2656,2657,2658,
2659,2660,2661,2662,2663,2664,2665,2666,2667,2668,2669,2670,2671,2672,2673,2674,
2675,2676,2677,2678,2679,2680,2681,2682,2683,2684,2685,2686,2687,2688,2689,2690,
2691,2692,2693,2694,2695,2696,2697,2698,2699,1542, 880,2700,2701,2702,2703,2704,
2705,2706,2707,2708,2709,2710,2711,2712,2713,2714,2715,2716,2717,2718,2719,2720,
2721,2722,2723,2724,2725,1543,2726,2727,2728,2729,2730,2731,2732,1544,2733,2734,
2735,2736,2737,2738,2739,2740,2741,2742,2743,2744,2745,2746,2747,2748,2749,2750,
2751,2752,2753,2754,1545,2755,2756,2757,2758,2759,2760,2761,2762,2763,2764,2765,
2766,1546,2767,1547,2768,2769,2770,2771,2772,2773,2774,2775,2776,2777,2778,2779,
2780,2781,2782,2783,2784,2785,2786,1548,2787,2788,2789,1109,2790,2791,2792,2793,
2794,2795,2796,2797,2798,2799,2800,2801,2802,2803,2804,2805,2806,2807,2808,2809,
2810,2811,2812,1329,2813,2814,2815,2816,2817,2818,2819,2820,2821,2822,2823,2824,
2825,2826,2827,2828,2829,2830,2831,2832,2833,2834,2835,2836,2837,2838,2839,2840,
2841,2842,2843,2844,2845,2846,2847,2848,2849,2850,2851,2852,2853,2854,2855,2856,
1549,2857,2858,2859,2860,1550,2861,2862,1551,2863,2864,2865,2866,2867,2868,2869,
2870,2871,2872,2873,2874,1110,1330,2875,2876,2877,2878,2879,2880,2881,2882,2883,
2884,2885,2886,2887,2888,2889,2890,2891,2892,2893,2894,2895,2896,2897,2898,2899,
2900,2901,2902,2903,2904,2905,2906,2907,2908,2909,2910,2911,2912,2913,2914,2915,
2916,2917,2918,2919,2920,2921,2922,2923,2924,2925,2926,2927,2928,2929,2930,1331,
2931,2932,2933,2934,2935,2936,2937,2938,2939,2940,2941,2942,2943,1552,2944,2945,
2946,2947,2948,2949,2950,2951,2952,2953,2954,2955,2956,2957,2958,2959,2960,2961,
2962,2963,2964,1252,2965,2966,2967,2968,2969,2970,2971,2972,2973,2974,2975,2976,
2977,2978,2979,2980,2981,2982,2983,2984,2985,2986,2987,2988,2989,2990,2991,2992,
2993,2994,2995,2996,2997,2998,2999,3000,3001,3002,3003,3004,3005,3006,3007,3008,
3009,3010,3011,3012,1553,3013,3014,3015,3016,3017,1554,3018,1332,3019,3020,3021,
3022,3023,3024,3025,3026,3027,3028,3029,3030,3031,3032,3033,3034,3035,3036,3037,
3038,3039,3040,3041,3042,3043,3044,3045,3046,3047,3048,3049,3050,1555,3051,3052,
3053,1556,1557,3054,3055,3056,3057,3058,3059,3060,3061,3062,3063,3064,3065,3066,
3067,1558,3068,3069,3070,3071,3072,3073,3074,3075,3076,1559,3077,3078,3079,3080,
3081,3082,3083,1253,3084,3085,3086,3087,3088,3089,3090,3091,3092,3093,3094,3095,
3096,3097,3098,3099,3100,3101,3102,3103,3104,3105,3106,3107,3108,1152,3109,3110,
3111,3112,3113,1560,3114,3115,3116,3117,1111,3118,3119,3120,3121,3122,3123,3124,
3125,3126,3127,3128,3129,3130,3131,3132,3133,3134,3135,3136,3137,3138,3139,3140,
3141,3142,3143,3144,3145,3146,3147,3148,3149,3150,3151,3152,3153,3154,3155,3156,
3157,3158,3159,3160,3161,3162,3163,3164,3165,3166,3167,3168,3169,3170,3171,3172,
3173,3174,3175,3176,1333,3177,3178,3179,3180,3181,3182,3183,3184,3185,3186,3187,
3188,3189,1561,3190,3191,1334,3192,3193,3194,3195,3196,3197,3198,3199,3200,3201,
3202,3203,3204,3205,3206,3207,3208,3209,3210,3211,3212,3213,3214,3215,3216,3217,
3218,3219,3220,3221,3222,3223,3224,3225,3226,3227,3228,3229,3230,3231,3232,3233,
3234,1562,3235,3236,3237,3238,3239,3240,3241,3242,3243,3244,3245,3246,3247,3248,
3249,3250,3251,3252,3253,3254,3255,3256,3257,3258,3259,3260,3261,3262,3263,3264,
3265,3266,3267,3268,3269,3270,3271,3272,3273,3274,3275,3276,3277,1563,3278,3279,
3280,3281,3282,3283,3284,3285,3286,3287,3288,3289,3290,3291,3292,3293,3294,3295,
3296,3297,3298,3299,3300,3301,3302,3303,3304,3305,3306,3307,3308,3309,3310,3311,
3312,3313,3314,3315,3316,3317,3318,3319,3320,3321,3322,3323,3324,3325,3326,3327,
3328,3329,3330,3331,3332,3333,3334,3335,3336,3337,3338,3339,3340,3341,3342,3343,
3344,3345,3346,3347,3348,3349,3350,3351,3352,3353,3354,3355,3356,3357,3358,3359,
3360,3361,3362,3363,3364,1335,3365,3366,3367,3368,3369,3370,3371,3372,3373,3374,
3375,3376,3377,3378,3379,3380,3381,3382,3383,3384,3385,3386,3387,1336,3388,3389,
3390,3391,3392,3393,3394,3395,3396,3397,3398,3399,3400,3401,3402,3403,3404,3405,
3406,3407,3408,3409,3410,3411,3412,3413,3414,1337,3415,3416,3417,3418,3419,1338,
3420,3421,3422,1564,1565,3423,3424,3425,3426,3427,3428,3429,3430,3431,1254,3432,
3433,3434,1339,3435,3436,3437,3438,3439,1566,3440,3441,3442,3443,3444,3445,3446,
3447,3448,3449,3450,3451,3452,3453,3454,1255,3455,3456,3457,3458,3459,1567,1191,
3460,1568,1569,3461,3462,3463,1570,3464,3465,3466,3467,3468,1571,3469,3470,3471,
3472,3473,1572,3474,3475,3476,3477,3478,3479,3480,3481,3482,3483,3484,3485,3486,
1340,3487,3488,3489,3490,3491,3492,1021,3493,3494,3495,3496,3497,3498,1573,3499,
1341,3500,3501,3502,3503,3504,3505,3506,3507,3508,3509,3510,3511,1342,3512,3513,
3514,3515,3516,1574,1343,3517,3518,3519,1575,3520,1576,3521,3522,3523,3524,3525,
3526,3527,3528,3529,3530,3531,3532,3533,3534,3535,3536,3537,3538,3539,3540,3541,
3542,3543,3544,3545,3546,3547,3548,3549,3550,3551,3552,3553,3554,3555,3556,3557,
3558,3559,3560,3561,3562,3563,3564,3565,3566,3567,3568,3569,3570,3571,3572,3573,
3574,3575,3576,3577,3578,3579,3580,1577,3581,3582,1578,3583,3584,3585,3586,3587,
3588,3589,3590,3591,3592,3593,3594,3595,3596,3597,3598,3599,3600,3601,3602,3603,
3604,1579,3605,3606,3607,3608,3609,3610,3611,3612,3613,3614,3615,3616,3617,3618,
3619,3620,3621,3622,3623,3624,3625,3626,3627,3628,3629,1580,3630,3631,1581,3632,
3633,3634,3635,3636,3637,3638,3639,3640,3641,3642,3643,3644,3645,3646,3647,3648,
3649,3650,3651,3652,3653,3654,3655,3656,1582,3657,3658,3659,3660,3661,3662,3663,
3664,3665,3666,3667,3668,3669,3670,3671,3672,3673,3674,3675,3676,3677,3678,3679,
3680,3681,3682,3683,3684,3685,3686,3687,3688,3689,3690,3691,3692,3693,3694,3695,
3696,3697,3698,3699,3700,1192,3701,3702,3703,3704,1256,3705,3706,3707,3708,1583,
1257,3709,3710,3711,3712,3713,3714,3715,3716,1584,3717,3718,3719,3720,3721,3722,
3723,3724,3725,3726,3727,3728,3729,3730,3731,3732,3733,3734,3735,3736,3737,3738,
3739,3740,3741,3742,3743,3744,3745,1344,3746,3747,3748,3749,3750,3751,3752,3753,
3754,3755,3756,1585,3757,3758,3759,3760,3761,3762,3763,3764,3765,3766,1586,3767,
3768,3769,3770,3771,3772,3773,3774,3775,3776,3777,3778,1345,3779,3780,3781,3782,
3783,3784,3785,3786,3787,3788,3789,3790,3791,3792,3793,3794,3795,1346,1587,3796,
3797,1588,3798,3799,3800,3801,3802,3803,3804,3805,3806,1347,3807,3808,3809,3810,
3811,1589,3812,3813,3814,3815,3816,3817,3818,3819,3820,3821,1590,3822,3823,1591,
1348,3824,3825,3826,3827,3828,3829,3830,1592,3831,3832,1593,3833,3834,3835,3836,
3837,3838,3839,3840,3841,3842,3843,3844,1349,3845,3846,3847,3848,3849,3850,3851,
3852,3853,3854,3855,3856,3857,3858,1594,3859,3860,3861,3862,3863,3864,3865,3866,
3867,3868,3869,1595,3870,3871,3872,3873,1596,3874,3875,3876,3877,3878,3879,3880,
3881,3882,3883,3884,3885,3886,1597,3887,3888,3889,3890,3891,3892,3893,3894,3895,
1598,3896,3897,3898,1599,1600,3899,1350,3900,1351,3901,3902,1352,3903,3904,3905,
3906,3907,3908,3909,3910,3911,3912,3913,3914,3915,3916,3917,3918,3919,3920,3921,
3922,3923,3924,1258,3925,3926,3927,3928,3929,3930,3931,1193,3932,1601,3933,3934,
3935,3936,3937,3938,3939,3940,3941,3942,3943,1602,3944,3945,3946,3947,3948,1603,
3949,3950,3951,3952,3953,3954,3955,3956,3957,3958,3959,3960,3961,3962,3963,3964,
3965,1604,3966,3967,3968,3969,3970,3971,3972,3973,3974,3975,3976,3977,1353,3978,
3979,3980,3981,3982,3983,3984,3985,3986,3987,3988,3989,3990,3991,1354,3992,3993,
3994,3995,3996,3997,3998,3999,4000,4001,4002,4003,4004,4005,4006,4007,4008,4009,
4010,4011,4012,4013,4014,4015,4016,4017,4018,4019,4020,4021,4022,4023,1355,4024,
4025,4026,4027,4028,4029,4030,4031,4032,4033,4034,4035,4036,4037,4038,4039,4040,
1605,4041,4042,4043,4044,4045,4046,4047,4048,4049,4050,4051,4052,4053,4054,4055,
4056,4057,4058,4059,4060,1606,4061,4062,4063,4064,1607,4065,4066,4067,4068,4069,
4070,4071,4072,4073,4074,4075,4076,1194,4077,4078,1608,4079,4080,4081,4082,4083,
4084,4085,4086,4087,1609,4088,4089,4090,4091,4092,4093,4094,4095,4096,4097,4098,
4099,4100,4101,4102,4103,4104,4105,4106,4107,4108,1259,4109,4110,4111,4112,4113,
4114,4115,4116,4117,4118,4119,4120,4121,4122,4123,4124,1195,4125,4126,4127,1610,
4128,4129,4130,4131,4132,4133,4134,4135,4136,4137,1356,4138,4139,4140,4141,4142,
4143,4144,1611,4145,4146,4147,4148,4149,4150,4151,4152,4153,4154,4155,4156,4157,
4158,4159,4160,4161,4162,4163,4164,4165,4166,4167,4168,4169,4170,4171,4172,4173,
4174,4175,4176,4177,4178,4179,4180,4181,4182,4183,4184,4185,4186,4187,4188,4189,
4190,4191,4192,4193,4194,4195,4196,4197,4198,4199,4200,4201,4202,4203,4204,4205,
4206,4207,4208,4209,4210,4211,4212,4213,4214,4215,4216,4217,4218,4219,1612,4220,
4221,4222,4223,4224,4225,4226,4227,1357,4228,1613,4229,4230,4231,4232,4233,4234,
4235,4236,4237,4238,4239,4240,4241,4242,4243,1614,4244,4245,4246,4247,4248,4249,
4250,4251,4252,4253,4254,4255,4256,4257,4258,4259,4260,4261,4262,4263,4264,4265,
4266,4267,4268,4269,4270,1196,1358,4271,4272,4273,4274,4275,4276,4277,4278,4279,
4280,4281,4282,4283,4284,4285,4286,4287,1615,4288,4289,4290,4291,4292,4293,4294,
4295,4296,4297,4298,4299,4300,4301,4302,4303,4304,4305,4306,4307,4308,4309,4310,
4311,4312,4313,4314,4315,4316,4317,4318,4319,4320,4321,4322,4323,4324,4325,4326,
4327,4328,4329,4330,4331,4332,4333,4334,1616,4335,4336,4337,4338,4339,4340,4341,
4342,4343,4344,4345,4346,4347,4348,4349,4350,4351,4352,4353,4354,4355,4356,4357,
4358,4359,4360,1617,4361,4362,4363,4364,4365,1618,4366,4367,4368,4369,4370,4371,
4372,4373,4374,4375,4376,4377,4378,4379,4380,4381,4382,4383,4384,4385,4386,4387,
4388,4389,4390,4391,4392,4393,4394,4395,4396,4397,4398,4399,4400,4401,4402,4403,
4404,4405,4406,4407,4408,4409,4410,4411,4412,4413,4414,4415,4416,1619,4417,4418,
4419,4420,4421,4422,4423,4424,4425,1112,4426,4427,4428,4429,4430,1620,4431,4432,
4433,4434,4435,4436,4437,4438,4439,4440,4441,4442,1260,1261,4443,4444,4445,4446,
4447,4448,4449,4450,4451,4452,4453,4454,4455,1359,4456,4457,4458,4459,4460,4461,
4462,4463,4464,4465,1621,4466,4467,4468,4469,4470,4471,4472,4473,4474,4475,4476,
4477,4478,4479,4480,4481,4482,4483,4484,4485,4486,4487,4488,4489,1055,4490,4491,
4492,4493,4494,4495,4496,4497,4498,4499,4500,4501,4502,4503,4504,4505,4506,4507,
4508,4509,4510,4511,4512,4513,4514,4515,4516,4517,4518,1622,4519,4520,4521,1623,
4522,4523,4524,4525,4526,4527,4528,4529,4530,4531,4532,4533,4534,4535,1360,4536,
4537,4538,4539,4540,4541,4542,4543, 975,4544,4545,4546,4547,4548,4549,4550,4551,
4552,4553,4554,4555,4556,4557,4558,4559,4560,4561,4562,4563,4564,4565,4566,4567,
4568,4569,4570,4571,1624,4572,4573,4574,4575,4576,1625,4577,4578,4579,4580,4581,
4582,4583,4584,1626,4585,4586,4587,4588,4589,4590,4591,4592,4593,4594,4595,1627,
4596,4597,4598,4599,4600,4601,4602,4603,4604,4605,4606,4607,4608,4609,4610,4611,
4612,4613,4614,4615,1628,4616,4617,4618,4619,4620,4621,4622,4623,4624,4625,4626,
4627,4628,4629,4630,4631,4632,4633,4634,4635,4636,4637,4638,4639,4640,4641,4642,
4643,4644,4645,4646,4647,4648,4649,1361,4650,4651,4652,4653,4654,4655,4656,4657,
4658,4659,4660,4661,1362,4662,4663,4664,4665,4666,4667,4668,4669,4670,4671,4672,
4673,4674,4675,4676,4677,4678,4679,4680,4681,4682,1629,4683,4684,4685,4686,4687,
1630,4688,4689,4690,4691,1153,4692,4693,4694,1113,4695,4696,4697,4698,4699,4700,
4701,4702,4703,4704,4705,4706,4707,4708,4709,4710,4711,1197,4712,4713,4714,4715,
4716,4717,4718,4719,4720,4721,4722,4723,4724,4725,4726,4727,4728,4729,4730,4731,
4732,4733,4734,4735,1631,4736,1632,4737,4738,4739,4740,4741,4742,4743,4744,1633,
4745,4746,4747,4748,4749,1262,4750,4751,4752,4753,4754,1363,4755,4756,4757,4758,
4759,4760,4761,4762,4763,4764,4765,4766,4767,4768,1634,4769,4770,4771,4772,4773,
4774,4775,4776,4777,4778,1635,4779,4780,4781,4782,4783,4784,4785,4786,4787,4788,
4789,1636,4790,4791,4792,4793,4794,4795,4796,4797,4798,4799,4800,4801,4802,4803,
4804,4805,4806,1637,4807,4808,4809,1638,4810,4811,4812,4813,4814,4815,4816,4817,
4818,1639,4819,4820,4821,4822,4823,4824,4825,4826,4827,4828,4829,4830,4831,4832,
4833,1077,4834,4835,4836,4837,4838,4839,4840,4841,4842,4843,4844,4845,4846,4847,
4848,4849,4850,4851,4852,4853,4854,4855,4856,4857,4858,4859,4860,4861,4862,4863,
4864,4865,4866,4867,4868,4869,4870,4871,4872,4873,4874,4875,4876,4877,4878,4879,
4880,4881,4882,4883,1640,4884,4885,1641,4886,4887,4888,4889,4890,4891,4892,4893,
4894,4895,4896,4897,4898,4899,4900,4901,4902,4903,4904,4905,4906,4907,4908,4909,
4910,4911,1642,4912,4913,4914,1364,4915,4916,4917,4918,4919,4920,4921,4922,4923,
4924,4925,4926,4927,4928,4929,4930,4931,1643,4932,4933,4934,4935,4936,4937,4938,
4939,4940,4941,4942,4943,4944,4945,4946,4947,4948,4949,4950,4951,4952,4953,4954,
4955,4956,4957,4958,4959,4960,4961,4962,4963,4964,4965,4966,4967,4968,4969,4970,
4971,4972,4973,4974,4975,4976,4977,4978,4979,4980,1644,4981,4982,4983,4984,1645,
4985,4986,1646,4987,4988,4989,4990,4991,4992,4993,4994,4995,4996,4997,4998,4999,
5000,5001,5002,5003,5004,5005,1647,5006,1648,5007,5008,5009,5010,5011,5012,1078,
5013,5014,5015,5016,5017,5018,5019,5020,5021,5022,5023,5024,5025,5026,5027,5028,
1365,5029,5030,5031,5032,5033,5034,5035,5036,5037,5038,5039,1649,5040,5041,5042,
5043,5044,5045,1366,5046,5047,5048,5049,5050,5051,5052,5053,5054,5055,1650,5056,
5057,5058,5059,5060,5061,5062,5063,5064,5065,5066,5067,5068,5069,5070,5071,5072,
5073,5074,5075,5076,5077,1651,5078,5079,5080,5081,5082,5083,5084,5085,5086,5087,
5088,5089,5090,5091,5092,5093,5094,5095,5096,5097,5098,5099,5100,5101,5102,5103,
5104,5105,5106,5107,5108,5109,5110,1652,5111,5112,5113,5114,5115,5116,5117,5118,
1367,5119,5120,5121,5122,5123,5124,5125,5126,5127,5128,5129,1653,5130,5131,5132,
5133,5134,5135,5136,5137,5138,5139,5140,5141,5142,5143,5144,5145,5146,5147,5148,
5149,1368,5150,1654,5151,1369,5152,5153,5154,5155,5156,5157,5158,5159,5160,5161,
5162,5163,5164,5165,5166,5167,5168,5169,5170,5171,5172,5173,5174,5175,5176,5177,
5178,1370,5179,5180,5181,5182,5183,5184,5185,5186,5187,5188,5189,5190,5191,5192,
5193,5194,5195,5196,5197,5198,1655,5199,5200,5201,5202,1656,5203,5204,5205,5206,
1371,5207,1372,5208,5209,5210,5211,1373,5212,5213,1374,5214,5215,5216,5217,5218,
5219,5220,5221,5222,5223,5224,5225,5226,5227,5228,5229,5230,5231,5232,5233,5234,
5235,5236,5237,5238,5239,5240,5241,5242,5243,5244,5245,5246,5247,1657,5248,5249,
5250,5251,1658,1263,5252,5253,5254,5255,5256,1375,5257,5258,5259,5260,5261,5262,
5263,5264,5265,5266,5267,5268,5269,5270,5271,5272,5273,5274,5275,5276,5277,5278,
5279,5280,5281,5282,5283,1659,5284,5285,5286,5287,5288,5289,5290,5291,5292,5293,
5294,5295,5296,5297,5298,5299,5300,1660,5301,5302,5303,5304,5305,5306,5307,5308,
5309,5310,5311,5312,5313,5314,5315,5316,5317,5318,5319,5320,5321,1376,5322,5323,
5324,5325,5326,5327,5328,5329,5330,5331,5332,5333,1198,5334,5335,5336,5337,5338,
5339,5340,5341,5342,5343,1661,5344,5345,5346,5347,5348,5349,5350,5351,5352,5353,
5354,5355,5356,5357,5358,5359,5360,5361,5362,5363,5364,5365,5366,5367,5368,5369,
5370,5371,5372,5373,5374,5375,5376,5377,5378,5379,5380,5381,5382,5383,5384,5385,
5386,5387,5388,5389,5390,5391,5392,5393,5394,5395,5396,5397,5398,1264,5399,5400,
5401,5402,5403,5404,5405,5406,5407,5408,5409,5410,5411,5412,1662,5413,5414,5415,
5416,1663,5417,5418,5419,5420,5421,5422,5423,5424,5425,5426,5427,5428,5429,5430,
5431,5432,5433,5434,5435,5436,5437,5438,1664,5439,5440,5441,5442,5443,5444,5445,
5446,5447,5448,5449,5450,5451,5452,5453,5454,5455,5456,5457,5458,5459,5460,5461,
5462,5463,5464,5465,5466,5467,5468,5469,5470,5471,5472,5473,5474,5475,5476,5477,
5478,1154,5479,5480,5481,5482,5483,5484,5485,1665,5486,5487,5488,5489,5490,5491,
5492,5493,5494,5495,5496,5497,5498,5499,5500,5501,5502,5503,5504,5505,5506,5507,
5508,5509,5510,5511,5512,5513,5514,5515,5516,5517,5518,5519,5520,5521,5522,5523,
5524,5525,5526,5527,5528,5529,5530,5531,5532,5533,5534,5535,5536,5537,5538,5539,
5540,5541,5542,5543,5544,5545,5546,5547,5548,1377,5549,5550,5551,5552,5553,5554,
5555,5556,5557,5558,5559,5560,5561,5562,5563,5564,5565,5566,5567,5568,5569,5570,
1114,5571,5572,5573,5574,5575,5576,5577,5578,5579,5580,5581,5582,5583,5584,5585,
5586,5587,5588,5589,5590,5591,5592,1378,5593,5594,5595,5596,5597,5598,5599,5600,
5601,5602,5603,5604,5605,5606,5607,5608,5609,5610,5611,5612,5613,5614,1379,5615,
5616,5617,5618,5619,5620,5621,5622,5623,5624,5625,5626,5627,5628,5629,5630,5631,
5632,5633,5634,1380,5635,5636,5637,5638,5639,5640,5641,5642,5643,5644,5645,5646,
5647,5648,5649,1381,1056,5650,5651,5652,5653,5654,5655,5656,5657,5658,5659,5660,
1666,5661,5662,5663,5664,5665,5666,5667,5668,1667,5669,1668,5670,5671,5672,5673,
5674,5675,5676,5677,5678,1155,5679,5680,5681,5682,5683,5684,5685,5686,5687,5688,
5689,5690,5691,5692,5693,5694,5695,5696,5697,5698,1669,5699,5700,5701,5702,5703,
5704,5705,1670,5706,5707,5708,5709,5710,1671,5711,5712,5713,5714,1382,5715,5716,
5717,5718,5719,5720,5721,5722,5723,5724,5725,1672,5726,5727,1673,1674,5728,5729,
5730,5731,5732,5733,5734,5735,5736,1675,5737,5738,5739,5740,5741,5742,5743,5744,
1676,5745,5746,5747,5748,5749,5750,5751,1383,5752,5753,5754,5755,5756,5757,5758,
5759,5760,5761,5762,5763,5764,5765,5766,5767,5768,1677,5769,5770,5771,5772,5773,
1678,5774,5775,5776, 998,5777,5778,5779,5780,5781,5782,5783,5784,5785,1384,5786,
5787,5788,5789,5790,5791,5792,5793,5794,5795,5796,5797,5798,5799,5800,1679,5801,
5802,5803,1115,1116,5804,5805,5806,5807,5808,5809,5810,5811,5812,5813,5814,5815,
5816,5817,5818,5819,5820,5821,5822,5823,5824,5825,5826,5827,5828,5829,5830,5831,
5832,5833,5834,5835,5836,5837,5838,5839,5840,5841,5842,5843,5844,5845,5846,5847,
5848,5849,5850,5851,5852,5853,5854,5855,1680,5856,5857,5858,5859,5860,5861,5862,
5863,5864,1681,5865,5866,5867,1682,5868,5869,5870,5871,5872,5873,5874,5875,5876,
5877,5878,5879,1683,5880,1684,5881,5882,5883,5884,1685,5885,5886,5887,5888,5889,
5890,5891,5892,5893,5894,5895,5896,5897,5898,5899,5900,5901,5902,5903,5904,5905,
5906,5907,1686,5908,5909,5910,5911,5912,5913,5914,5915,5916,5917,5918,5919,5920,
5921,5922,5923,5924,5925,5926,5927,5928,5929,5930,5931,5932,5933,5934,5935,1687,
5936,5937,5938,5939,5940,5941,5942,5943,5944,5945,5946,5947,5948,5949,5950,5951,
5952,1688,1689,5953,1199,5954,5955,5956,5957,5958,5959,5960,5961,1690,5962,5963,
5964,5965,5966,5967,5968,5969,5970,5971,5972,5973,5974,5975,5976,5977,5978,5979,
5980,5981,1385,5982,1386,5983,5984,5985,5986,5987,5988,5989,5990,5991,5992,5993,
5994,5995,5996,5997,5998,5999,6000,6001,6002,6003,6004,6005,6006,6007,6008,6009,
6010,6011,6012,6013,6014,6015,6016,6017,6018,6019,6020,6021,6022,6023,6024,6025,
6026,6027,1265,6028,6029,1691,6030,6031,6032,6033,6034,6035,6036,6037,6038,6039,
6040,6041,6042,6043,6044,6045,6046,6047,6048,6049,6050,6051,6052,6053,6054,6055,
6056,6057,6058,6059,6060,6061,6062,6063,6064,6065,6066,6067,6068,6069,6070,6071,
6072,6073,6074,6075,6076,6077,6078,6079,6080,6081,6082,6083,6084,1692,6085,6086,
6087,6088,6089,6090,6091,6092,6093,6094,6095,6096,6097,6098,6099,6100,6101,6102,
6103,6104,6105,6106,6107,6108,6109,6110,6111,6112,6113,6114,6115,6116,6117,6118,
6119,6120,6121,6122,6123,6124,6125,6126,6127,6128,6129,6130,6131,1693,6132,6133,
6134,6135,6136,1694,6137,6138,6139,6140,6141,1695,6142,6143,6144,6145,6146,6147,
6148,6149,6150,6151,6152,6153,6154,6155,6156,6157,6158,6159,6160,6161,6162,6163,
6164,6165,6166,6167,6168,6169,6170,6171,6172,6173,6174,6175,6176,6177,6178,6179,
6180,6181,6182,6183,6184,6185,1696,6186,6187,6188,6189,6190,6191,6192,6193,6194,
6195,6196,6197,6198,6199,6200,6201,6202,6203,6204,6205,6206,6207,6208,6209,6210,
6211,6212,6213,6214,6215,6216,6217,6218,6219,1697,6220,6221,6222,6223,6224,6225,
6226,6227,6228,6229,6230,6231,6232,6233,6234,6235,6236,6237,6238,6239,6240,6241,
6242,6243,6244,6245,6246,6247,6248,6249,6250,6251,6252,6253,1698,6254,6255,6256,
6257,6258,6259,6260,6261,6262,6263,1200,6264,6265,6266,6267,6268,6269,6270,6271, #1024
6272,6273,6274,6275,6276,6277,6278,6279,6280,6281,6282,6283,6284,6285,6286,6287,
6288,6289,6290,6291,6292,6293,6294,6295,6296,6297,6298,6299,6300,6301,6302,1699,
6303,6304,1700,6305,6306,6307,6308,6309,6310,6311,6312,6313,6314,6315,6316,6317,
6318,6319,6320,6321,6322,6323,6324,6325,6326,6327,6328,6329,6330,6331,6332,6333,
6334,6335,6336,6337,6338,6339,1701,6340,6341,6342,6343,6344,1387,6345,6346,6347,
6348,6349,6350,6351,6352,6353,6354,6355,6356,6357,6358,6359,6360,6361,6362,6363,
6364,6365,6366,6367,6368,6369,6370,6371,6372,6373,6374,6375,6376,6377,6378,6379,
6380,6381,6382,6383,6384,6385,6386,6387,6388,6389,6390,6391,6392,6393,6394,6395,
6396,6397,6398,6399,6400,6401,6402,6403,6404,6405,6406,6407,6408,6409,6410,6411,
6412,6413,1702,6414,6415,6416,6417,6418,6419,6420,6421,6422,1703,6423,6424,6425,
6426,6427,6428,6429,6430,6431,6432,6433,6434,6435,6436,6437,6438,1704,6439,6440,
6441,6442,6443,6444,6445,6446,6447,6448,6449,6450,6451,6452,6453,6454,6455,6456,
6457,6458,6459,6460,6461,6462,6463,6464,6465,6466,6467,6468,6469,6470,6471,6472,
6473,6474,6475,6476,6477,6478,6479,6480,6481,6482,6483,6484,6485,6486,6487,6488,
6489,6490,6491,6492,6493,6494,6495,6496,6497,6498,6499,6500,6501,6502,6503,1266,
6504,6505,6506,6507,6508,6509,6510,6511,6512,6513,6514,6515,6516,6517,6518,6519,
6520,6521,6522,6523,6524,6525,6526,6527,6528,6529,6530,6531,6532,6533,6534,6535,
6536,6537,6538,6539,6540,6541,6542,6543,6544,6545,6546,6547,6548,6549,6550,6551,
1705,1706,6552,6553,6554,6555,6556,6557,6558,6559,6560,6561,6562,6563,6564,6565,
6566,6567,6568,6569,6570,6571,6572,6573,6574,6575,6576,6577,6578,6579,6580,6581,
6582,6583,6584,6585,6586,6587,6588,6589,6590,6591,6592,6593,6594,6595,6596,6597,
6598,6599,6600,6601,6602,6603,6604,6605,6606,6607,6608,6609,6610,6611,6612,6613,
6614,6615,6616,6617,6618,6619,6620,6621,6622,6623,6624,6625,6626,6627,6628,6629,
6630,6631,6632,6633,6634,6635,6636,6637,1388,6638,6639,6640,6641,6642,6643,6644,
1707,6645,6646,6647,6648,6649,6650,6651,6652,6653,6654,6655,6656,6657,6658,6659,
6660,6661,6662,6663,1708,6664,6665,6666,6667,6668,6669,6670,6671,6672,6673,6674,
1201,6675,6676,6677,6678,6679,6680,6681,6682,6683,6684,6685,6686,6687,6688,6689,
6690,6691,6692,6693,6694,6695,6696,6697,6698,6699,6700,6701,6702,6703,6704,6705,
6706,6707,6708,6709,6710,6711,6712,6713,6714,6715,6716,6717,6718,6719,6720,6721,
6722,6723,6724,6725,1389,6726,6727,6728,6729,6730,6731,6732,6733,6734,6735,6736,
1390,1709,6737,6738,6739,6740,6741,6742,1710,6743,6744,6745,6746,1391,6747,6748,
6749,6750,6751,6752,6753,6754,6755,6756,6757,1392,6758,6759,6760,6761,6762,6763,
6764,6765,6766,6767,6768,6769,6770,6771,6772,6773,6774,6775,6776,6777,6778,6779,
6780,1202,6781,6782,6783,6784,6785,6786,6787,6788,6789,6790,6791,6792,6793,6794,
6795,6796,6797,6798,6799,6800,6801,6802,6803,6804,6805,6806,6807,6808,6809,1711,
6810,6811,6812,6813,6814,6815,6816,6817,6818,6819,6820,6821,6822,6823,6824,6825,
6826,6827,6828,6829,6830,6831,6832,6833,6834,6835,6836,1393,6837,6838,6839,6840,
6841,6842,6843,6844,6845,6846,6847,6848,6849,6850,6851,6852,6853,6854,6855,6856,
6857,6858,6859,6860,6861,6862,6863,6864,6865,6866,6867,6868,6869,6870,6871,6872,
6873,6874,6875,6876,6877,6878,6879,6880,6881,6882,6883,6884,6885,6886,6887,6888,
6889,6890,6891,6892,6893,6894,6895,6896,6897,6898,6899,6900,6901,6902,1712,6903,
6904,6905,6906,6907,6908,6909,6910,1713,6911,6912,6913,6914,6915,6916,6917,6918,
6919,6920,6921,6922,6923,6924,6925,6926,6927,6928,6929,6930,6931,6932,6933,6934,
6935,6936,6937,6938,6939,6940,6941,6942,6943,6944,6945,6946,6947,6948,6949,6950,
6951,6952,6953,6954,6955,6956,6957,6958,6959,6960,6961,6962,6963,6964,6965,6966,
6967,6968,6969,6970,6971,6972,6973,6974,1714,6975,6976,6977,6978,6979,6980,6981,
6982,6983,6984,6985,6986,6987,6988,1394,6989,6990,6991,6992,6993,6994,6995,6996,
6997,6998,6999,7000,1715,7001,7002,7003,7004,7005,7006,7007,7008,7009,7010,7011,
7012,7013,7014,7015,7016,7017,7018,7019,7020,7021,7022,7023,7024,7025,7026,7027,
7028,1716,7029,7030,7031,7032,7033,7034,7035,7036,7037,7038,7039,7040,7041,7042,
7043,7044,7045,7046,7047,7048,7049,7050,7051,7052,7053,7054,7055,7056,7057,7058,
7059,7060,7061,7062,7063,7064,7065,7066,7067,7068,7069,7070,7071,7072,7073,7074,
7075,7076,7077,7078,7079,7080,7081,7082,7083,7084,7085,7086,7087,7088,7089,7090,
7091,7092,7093,7094,7095,7096,7097,7098,7099,7100,7101,7102,7103,7104,7105,7106,
7107,7108,7109,7110,7111,7112,7113,7114,7115,7116,7117,7118,7119,7120,7121,7122,
7123,7124,7125,7126,7127,7128,7129,7130,7131,7132,7133,7134,7135,7136,7137,7138,
7139,7140,7141,7142,7143,7144,7145,7146,7147,7148,7149,7150,7151,7152,7153,7154,
7155,7156,7157,7158,7159,7160,7161,7162,7163,7164,7165,7166,7167,7168,7169,7170,
7171,7172,7173,7174,7175,7176,7177,7178,7179,7180,7181,7182,7183,7184,7185,7186,
7187,7188,7189,7190,7191,7192,7193,7194,7195,7196,7197,7198,7199,7200,7201,7202,
7203,7204,7205,7206,7207,1395,7208,7209,7210,7211,7212,7213,1717,7214,7215,7216,
7217,7218,7219,7220,7221,7222,7223,7224,7225,7226,7227,7228,7229,7230,7231,7232,
7233,7234,7235,7236,7237,7238,7239,7240,7241,7242,7243,7244,7245,7246,7247,7248,
7249,7250,7251,7252,7253,7254,7255,7256,7257,7258,7259,7260,7261,7262,7263,7264,
7265,7266,7267,7268,7269,7270,7271,7272,7273,7274,7275,7276,7277,7278,7279,7280,
7281,7282,7283,7284,7285,7286,7287,7288,7289,7290,7291,7292,7293,7294,7295,7296,
7297,7298,7299,7300,7301,7302,7303,7304,7305,7306,7307,7308,7309,7310,7311,7312,
7313,1718,7314,7315,7316,7317,7318,7319,7320,7321,7322,7323,7324,7325,7326,7327,
7328,7329,7330,7331,7332,7333,7334,7335,7336,7337,7338,7339,7340,7341,7342,7343,
7344,7345,7346,7347,7348,7349,7350,7351,7352,7353,7354,7355,7356,7357,7358,7359,
7360,7361,7362,7363,7364,7365,7366,7367,7368,7369,7370,7371,7372,7373,7374,7375,
7376,7377,7378,7379,7380,7381,7382,7383,7384,7385,7386,7387,7388,7389,7390,7391,
7392,7393,7394,7395,7396,7397,7398,7399,7400,7401,7402,7403,7404,7405,7406,7407,
7408,7409,7410,7411,7412,7413,7414,7415,7416,7417,7418,7419,7420,7421,7422,7423,
7424,7425,7426,7427,7428,7429,7430,7431,7432,7433,7434,7435,7436,7437,7438,7439,
7440,7441,7442,7443,7444,7445,7446,7447,7448,7449,7450,7451,7452,7453,7454,7455,
7456,7457,7458,7459,7460,7461,7462,7463,7464,7465,7466,7467,7468,7469,7470,7471,
7472,7473,7474,7475,7476,7477,7478,7479,7480,7481,7482,7483,7484,7485,7486,7487,
7488,7489,7490,7491,7492,7493,7494,7495,7496,7497,7498,7499,7500,7501,7502,7503,
7504,7505,7506,7507,7508,7509,7510,7511,7512,7513,7514,7515,7516,7517,7518,7519,
7520,7521,7522,7523,7524,7525,7526,7527,7528,7529,7530,7531,7532,7533,7534,7535,
7536,7537,7538,7539,7540,7541,7542,7543,7544,7545,7546,7547,7548,7549,7550,7551,
7552,7553,7554,7555,7556,7557,7558,7559,7560,7561,7562,7563,7564,7565,7566,7567,
7568,7569,7570,7571,7572,7573,7574,7575,7576,7577,7578,7579,7580,7581,7582,7583,
7584,7585,7586,7587,7588,7589,7590,7591,7592,7593,7594,7595,7596,7597,7598,7599,
7600,7601,7602,7603,7604,7605,7606,7607,7608,7609,7610,7611,7612,7613,7614,7615,
7616,7617,7618,7619,7620,7621,7622,7623,7624,7625,7626,7627,7628,7629,7630,7631,
7632,7633,7634,7635,7636,7637,7638,7639,7640,7641,7642,7643,7644,7645,7646,7647,
7648,7649,7650,7651,7652,7653,7654,7655,7656,7657,7658,7659,7660,7661,7662,7663,
7664,7665,7666,7667,7668,7669,7670,7671,7672,7673,7674,7675,7676,7677,7678,7679,
7680,7681,7682,7683,7684,7685,7686,7687,7688,7689,7690,7691,7692,7693,7694,7695,
7696,7697,7698,7699,7700,7701,7702,7703,7704,7705,7706,7707,7708,7709,7710,7711,
7712,7713,7714,7715,7716,7717,7718,7719,7720,7721,7722,7723,7724,7725,7726,7727,
7728,7729,7730,7731,7732,7733,7734,7735,7736,7737,7738,7739,7740,7741,7742,7743,
7744,7745,7746,7747,7748,7749,7750,7751,7752,7753,7754,7755,7756,7757,7758,7759,
7760,7761,7762,7763,7764,7765,7766,7767,7768,7769,7770,7771,7772,7773,7774,7775,
7776,7777,7778,7779,7780,7781,7782,7783,7784,7785,7786,7787,7788,7789,7790,7791,
7792,7793,7794,7795,7796,7797,7798,7799,7800,7801,7802,7803,7804,7805,7806,7807,
7808,7809,7810,7811,7812,7813,7814,7815,7816,7817,7818,7819,7820,7821,7822,7823,
7824,7825,7826,7827,7828,7829,7830,7831,7832,7833,7834,7835,7836,7837,7838,7839,
7840,7841,7842,7843,7844,7845,7846,7847,7848,7849,7850,7851,7852,7853,7854,7855,
7856,7857,7858,7859,7860,7861,7862,7863,7864,7865,7866,7867,7868,7869,7870,7871,
7872,7873,7874,7875,7876,7877,7878,7879,7880,7881,7882,7883,7884,7885,7886,7887,
7888,7889,7890,7891,7892,7893,7894,7895,7896,7897,7898,7899,7900,7901,7902,7903,
7904,7905,7906,7907,7908,7909,7910,7911,7912,7913,7914,7915,7916,7917,7918,7919,
7920,7921,7922,7923,7924,7925,7926,7927,7928,7929,7930,7931,7932,7933,7934,7935,
7936,7937,7938,7939,7940,7941,7942,7943,7944,7945,7946,7947,7948,7949,7950,7951,
7952,7953,7954,7955,7956,7957,7958,7959,7960,7961,7962,7963,7964,7965,7966,7967,
7968,7969,7970,7971,7972,7973,7974,7975,7976,7977,7978,7979,7980,7981,7982,7983,
7984,7985,7986,7987,7988,7989,7990,7991,7992,7993,7994,7995,7996,7997,7998,7999,
8000,8001,8002,8003,8004,8005,8006,8007,8008,8009,8010,8011,8012,8013,8014,8015,
8016,8017,8018,8019,8020,8021,8022,8023,8024,8025,8026,8027,8028,8029,8030,8031,
8032,8033,8034,8035,8036,8037,8038,8039,8040,8041,8042,8043,8044,8045,8046,8047,
8048,8049,8050,8051,8052,8053,8054,8055,8056,8057,8058,8059,8060,8061,8062,8063,
8064,8065,8066,8067,8068,8069,8070,8071,8072,8073,8074,8075,8076,8077,8078,8079,
8080,8081,8082,8083,8084,8085,8086,8087,8088,8089,8090,8091,8092,8093,8094,8095,
8096,8097,8098,8099,8100,8101,8102,8103,8104,8105,8106,8107,8108,8109,8110,8111,
8112,8113,8114,8115,8116,8117,8118,8119,8120,8121,8122,8123,8124,8125,8126,8127,
8128,8129,8130,8131,8132,8133,8134,8135,8136,8137,8138,8139,8140,8141,8142,8143,
8144,8145,8146,8147,8148,8149,8150,8151,8152,8153,8154,8155,8156,8157,8158,8159,
8160,8161,8162,8163,8164,8165,8166,8167,8168,8169,8170,8171,8172,8173,8174,8175,
8176,8177,8178,8179,8180,8181,8182,8183,8184,8185,8186,8187,8188,8189,8190,8191,
8192,8193,8194,8195,8196,8197,8198,8199,8200,8201,8202,8203,8204,8205,8206,8207,
8208,8209,8210,8211,8212,8213,8214,8215,8216,8217,8218,8219,8220,8221,8222,8223,
8224,8225,8226,8227,8228,8229,8230,8231,8232,8233,8234,8235,8236,8237,8238,8239,
8240,8241,8242,8243,8244,8245,8246,8247,8248,8249,8250,8251,8252,8253,8254,8255,
8256,8257,8258,8259,8260,8261,8262,8263,8264,8265,8266,8267,8268,8269,8270,8271,
8272,8273,8274,8275,8276,8277,8278,8279,8280,8281,8282,8283,8284,8285,8286,8287,
8288,8289,8290,8291,8292,8293,8294,8295,8296,8297,8298,8299,8300,8301,8302,8303,
8304,8305,8306,8307,8308,8309,8310,8311,8312,8313,8314,8315,8316,8317,8318,8319,
8320,8321,8322,8323,8324,8325,8326,8327,8328,8329,8330,8331,8332,8333,8334,8335,
8336,8337,8338,8339,8340,8341,8342,8343,8344,8345,8346,8347,8348,8349,8350,8351,
8352,8353,8354,8355,8356,8357,8358,8359,8360,8361,8362,8363,8364,8365,8366,8367,
8368,8369,8370,8371,8372,8373,8374,8375,8376,8377,8378,8379,8380,8381,8382,8383,
8384,8385,8386,8387,8388,8389,8390,8391,8392,8393,8394,8395,8396,8397,8398,8399,
8400,8401,8402,8403,8404,8405,8406,8407,8408,8409,8410,8411,8412,8413,8414,8415,
8416,8417,8418,8419,8420,8421,8422,8423,8424,8425,8426,8427,8428,8429,8430,8431,
8432,8433,8434,8435,8436,8437,8438,8439,8440,8441,8442,8443,8444,8445,8446,8447,
8448,8449,8450,8451,8452,8453,8454,8455,8456,8457,8458,8459,8460,8461,8462,8463,
8464,8465,8466,8467,8468,8469,8470,8471,8472,8473,8474,8475,8476,8477,8478,8479,
8480,8481,8482,8483,8484,8485,8486,8487,8488,8489,8490,8491,8492,8493,8494,8495,
8496,8497,8498,8499,8500,8501,8502,8503,8504,8505,8506,8507,8508,8509,8510,8511,
8512,8513,8514,8515,8516,8517,8518,8519,8520,8521,8522,8523,8524,8525,8526,8527,
8528,8529,8530,8531,8532,8533,8534,8535,8536,8537,8538,8539,8540,8541,8542,8543,
8544,8545,8546,8547,8548,8549,8550,8551,8552,8553,8554,8555,8556,8557,8558,8559,
8560,8561,8562,8563,8564,8565,8566,8567,8568,8569,8570,8571,8572,8573,8574,8575,
8576,8577,8578,8579,8580,8581,8582,8583,8584,8585,8586,8587,8588,8589,8590,8591,
8592,8593,8594,8595,8596,8597,8598,8599,8600,8601,8602,8603,8604,8605,8606,8607,
8608,8609,8610,8611,8612,8613,8614,8615,8616,8617,8618,8619,8620,8621,8622,8623,
8624,8625,8626,8627,8628,8629,8630,8631,8632,8633,8634,8635,8636,8637,8638,8639,
8640,8641,8642,8643,8644,8645,8646,8647,8648,8649,8650,8651,8652,8653,8654,8655,
8656,8657,8658,8659,8660,8661,8662,8663,8664,8665,8666,8667,8668,8669,8670,8671,
8672,8673,8674,8675,8676,8677,8678,8679,8680,8681,8682,8683,8684,8685,8686,8687,
8688,8689,8690,8691,8692,8693,8694,8695,8696,8697,8698,8699,8700,8701,8702,8703,
8704,8705,8706,8707,8708,8709,8710,8711,8712,8713,8714,8715,8716,8717,8718,8719,
8720,8721,8722,8723,8724,8725,8726,8727,8728,8729,8730,8731,8732,8733,8734,8735,
8736,8737,8738,8739,8740,8741)
)
# flake8: noqa

15
thirdparty/chardet/euckrprober.py vendored
View File

@ -28,15 +28,20 @@
from .mbcharsetprober import MultiByteCharSetProber
from .codingstatemachine import CodingStateMachine
from .chardistribution import EUCKRDistributionAnalysis
from .mbcssm import EUCKRSMModel
from .mbcssm import EUCKR_SM_MODEL
class EUCKRProber(MultiByteCharSetProber):
def __init__(self):
MultiByteCharSetProber.__init__(self)
self._mCodingSM = CodingStateMachine(EUCKRSMModel)
self._mDistributionAnalyzer = EUCKRDistributionAnalysis()
super(EUCKRProber, self).__init__()
self.coding_sm = CodingStateMachine(EUCKR_SM_MODEL)
self.distribution_analyzer = EUCKRDistributionAnalysis()
self.reset()
def get_charset_name(self):
@property
def charset_name(self):
return "EUC-KR"
@property
def language(self):
return "Korean"

47
thirdparty/chardet/euctwfreq.py vendored
View File

@ -44,9 +44,9 @@
EUCTW_TYPICAL_DISTRIBUTION_RATIO = 0.75
# Char to FreqOrder table ,
EUCTW_TABLE_SIZE = 8102
EUCTW_TABLE_SIZE = 5376
EUCTWCharToFreqOrder = (
EUCTW_CHAR_TO_FREQ_ORDER = (
1,1800,1506, 255,1431, 198, 9, 82, 6,7310, 177, 202,3615,1256,2808, 110, # 2742
3735, 33,3241, 261, 76, 44,2113, 16,2931,2184,1176, 659,3868, 26,3404,2643, # 2758
1198,3869,3313,4060, 410,2211, 302, 590, 361,1963, 8, 204, 58,4296,7311,1931, # 2774
@ -383,46 +383,5 @@ EUCTWCharToFreqOrder = (
3613,2929,4056,1747,2930,2968,8105,8106, 207,8107,8108,2672,4581,2514,8109,3015, # 8070
890,3614,3864,8110,1877,3732,3402,8111,2183,2353,3403,1652,8112,8113,8114, 941, # 8086
2294, 208,3499,4057,2019, 330,4294,3865,2892,2492,3733,4295,8115,8116,8117,8118, # 8102
#Everything below is of no interest for detection purpose
2515,1613,4582,8119,3312,3866,2516,8120,4058,8121,1637,4059,2466,4583,3867,8122, # 8118
2493,3016,3734,8123,8124,2192,8125,8126,2162,8127,8128,8129,8130,8131,8132,8133, # 8134
8134,8135,8136,8137,8138,8139,8140,8141,8142,8143,8144,8145,8146,8147,8148,8149, # 8150
8150,8151,8152,8153,8154,8155,8156,8157,8158,8159,8160,8161,8162,8163,8164,8165, # 8166
8166,8167,8168,8169,8170,8171,8172,8173,8174,8175,8176,8177,8178,8179,8180,8181, # 8182
8182,8183,8184,8185,8186,8187,8188,8189,8190,8191,8192,8193,8194,8195,8196,8197, # 8198
8198,8199,8200,8201,8202,8203,8204,8205,8206,8207,8208,8209,8210,8211,8212,8213, # 8214
8214,8215,8216,8217,8218,8219,8220,8221,8222,8223,8224,8225,8226,8227,8228,8229, # 8230
8230,8231,8232,8233,8234,8235,8236,8237,8238,8239,8240,8241,8242,8243,8244,8245, # 8246
8246,8247,8248,8249,8250,8251,8252,8253,8254,8255,8256,8257,8258,8259,8260,8261, # 8262
8262,8263,8264,8265,8266,8267,8268,8269,8270,8271,8272,8273,8274,8275,8276,8277, # 8278
8278,8279,8280,8281,8282,8283,8284,8285,8286,8287,8288,8289,8290,8291,8292,8293, # 8294
8294,8295,8296,8297,8298,8299,8300,8301,8302,8303,8304,8305,8306,8307,8308,8309, # 8310
8310,8311,8312,8313,8314,8315,8316,8317,8318,8319,8320,8321,8322,8323,8324,8325, # 8326
8326,8327,8328,8329,8330,8331,8332,8333,8334,8335,8336,8337,8338,8339,8340,8341, # 8342
8342,8343,8344,8345,8346,8347,8348,8349,8350,8351,8352,8353,8354,8355,8356,8357, # 8358
8358,8359,8360,8361,8362,8363,8364,8365,8366,8367,8368,8369,8370,8371,8372,8373, # 8374
8374,8375,8376,8377,8378,8379,8380,8381,8382,8383,8384,8385,8386,8387,8388,8389, # 8390
8390,8391,8392,8393,8394,8395,8396,8397,8398,8399,8400,8401,8402,8403,8404,8405, # 8406
8406,8407,8408,8409,8410,8411,8412,8413,8414,8415,8416,8417,8418,8419,8420,8421, # 8422
8422,8423,8424,8425,8426,8427,8428,8429,8430,8431,8432,8433,8434,8435,8436,8437, # 8438
8438,8439,8440,8441,8442,8443,8444,8445,8446,8447,8448,8449,8450,8451,8452,8453, # 8454
8454,8455,8456,8457,8458,8459,8460,8461,8462,8463,8464,8465,8466,8467,8468,8469, # 8470
8470,8471,8472,8473,8474,8475,8476,8477,8478,8479,8480,8481,8482,8483,8484,8485, # 8486
8486,8487,8488,8489,8490,8491,8492,8493,8494,8495,8496,8497,8498,8499,8500,8501, # 8502
8502,8503,8504,8505,8506,8507,8508,8509,8510,8511,8512,8513,8514,8515,8516,8517, # 8518
8518,8519,8520,8521,8522,8523,8524,8525,8526,8527,8528,8529,8530,8531,8532,8533, # 8534
8534,8535,8536,8537,8538,8539,8540,8541,8542,8543,8544,8545,8546,8547,8548,8549, # 8550
8550,8551,8552,8553,8554,8555,8556,8557,8558,8559,8560,8561,8562,8563,8564,8565, # 8566
8566,8567,8568,8569,8570,8571,8572,8573,8574,8575,8576,8577,8578,8579,8580,8581, # 8582
8582,8583,8584,8585,8586,8587,8588,8589,8590,8591,8592,8593,8594,8595,8596,8597, # 8598
8598,8599,8600,8601,8602,8603,8604,8605,8606,8607,8608,8609,8610,8611,8612,8613, # 8614
8614,8615,8616,8617,8618,8619,8620,8621,8622,8623,8624,8625,8626,8627,8628,8629, # 8630
8630,8631,8632,8633,8634,8635,8636,8637,8638,8639,8640,8641,8642,8643,8644,8645, # 8646
8646,8647,8648,8649,8650,8651,8652,8653,8654,8655,8656,8657,8658,8659,8660,8661, # 8662
8662,8663,8664,8665,8666,8667,8668,8669,8670,8671,8672,8673,8674,8675,8676,8677, # 8678
8678,8679,8680,8681,8682,8683,8684,8685,8686,8687,8688,8689,8690,8691,8692,8693, # 8694
8694,8695,8696,8697,8698,8699,8700,8701,8702,8703,8704,8705,8706,8707,8708,8709, # 8710
8710,8711,8712,8713,8714,8715,8716,8717,8718,8719,8720,8721,8722,8723,8724,8725, # 8726
8726,8727,8728,8729,8730,8731,8732,8733,8734,8735,8736,8737,8738,8739,8740,8741) # 8742
)
# flake8: noqa

15
thirdparty/chardet/euctwprober.py vendored
View File

@ -28,14 +28,19 @@
from .mbcharsetprober import MultiByteCharSetProber
from .codingstatemachine import CodingStateMachine
from .chardistribution import EUCTWDistributionAnalysis
from .mbcssm import EUCTWSMModel
from .mbcssm import EUCTW_SM_MODEL
class EUCTWProber(MultiByteCharSetProber):
def __init__(self):
MultiByteCharSetProber.__init__(self)
self._mCodingSM = CodingStateMachine(EUCTWSMModel)
self._mDistributionAnalyzer = EUCTWDistributionAnalysis()
super(EUCTWProber, self).__init__()
self.coding_sm = CodingStateMachine(EUCTW_SM_MODEL)
self.distribution_analyzer = EUCTWDistributionAnalysis()
self.reset()
def get_charset_name(self):
@property
def charset_name(self):
return "EUC-TW"
@property
def language(self):
return "Taiwan"

193
thirdparty/chardet/gb2312freq.py vendored
View File

@ -43,7 +43,7 @@ GB2312_TYPICAL_DISTRIBUTION_RATIO = 0.9
GB2312_TABLE_SIZE = 3760
GB2312CharToFreqOrder = (
GB2312_CHAR_TO_FREQ_ORDER = (
1671, 749,1443,2364,3924,3807,2330,3921,1704,3463,2691,1511,1515, 572,3191,2205,
2361, 224,2558, 479,1711, 963,3162, 440,4060,1905,2966,2947,3580,2647,3961,3842,
2204, 869,4207, 970,2678,5626,2944,2956,1479,4048, 514,3595, 588,1346,2820,3409,
@ -279,194 +279,5 @@ GB2312CharToFreqOrder = (
1917,1874,2477,4921, 148, 83,3438, 592,4245,2882,1822,1055, 741, 115,1496,1624,
381,1638,4592,1020, 516,3214, 458, 947,4575,1432, 211,1514,2926,1865,2142, 189,
852,1221,1400,1486, 882,2299,4036, 351, 28,1122, 700,6479,6480,6481,6482,6483, #last 512
#Everything below is of no interest for detection purpose
5508,6484,3900,3414,3974,4441,4024,3537,4037,5628,5099,3633,6485,3148,6486,3636,
5509,3257,5510,5973,5445,5872,4941,4403,3174,4627,5873,6276,2286,4230,5446,5874,
5122,6102,6103,4162,5447,5123,5323,4849,6277,3980,3851,5066,4246,5774,5067,6278,
3001,2807,5695,3346,5775,5974,5158,5448,6487,5975,5976,5776,3598,6279,5696,4806,
4211,4154,6280,6488,6489,6490,6281,4212,5037,3374,4171,6491,4562,4807,4722,4827,
5977,6104,4532,4079,5159,5324,5160,4404,3858,5359,5875,3975,4288,4610,3486,4512,
5325,3893,5360,6282,6283,5560,2522,4231,5978,5186,5449,2569,3878,6284,5401,3578,
4415,6285,4656,5124,5979,2506,4247,4449,3219,3417,4334,4969,4329,6492,4576,4828,
4172,4416,4829,5402,6286,3927,3852,5361,4369,4830,4477,4867,5876,4173,6493,6105,
4657,6287,6106,5877,5450,6494,4155,4868,5451,3700,5629,4384,6288,6289,5878,3189,
4881,6107,6290,6495,4513,6496,4692,4515,4723,5100,3356,6497,6291,3810,4080,5561,
3570,4430,5980,6498,4355,5697,6499,4724,6108,6109,3764,4050,5038,5879,4093,3226,
6292,5068,5217,4693,3342,5630,3504,4831,4377,4466,4309,5698,4431,5777,6293,5778,
4272,3706,6110,5326,3752,4676,5327,4273,5403,4767,5631,6500,5699,5880,3475,5039,
6294,5562,5125,4348,4301,4482,4068,5126,4593,5700,3380,3462,5981,5563,3824,5404,
4970,5511,3825,4738,6295,6501,5452,4516,6111,5881,5564,6502,6296,5982,6503,4213,
4163,3454,6504,6112,4009,4450,6113,4658,6297,6114,3035,6505,6115,3995,4904,4739,
4563,4942,4110,5040,3661,3928,5362,3674,6506,5292,3612,4791,5565,4149,5983,5328,
5259,5021,4725,4577,4564,4517,4364,6298,5405,4578,5260,4594,4156,4157,5453,3592,
3491,6507,5127,5512,4709,4922,5984,5701,4726,4289,6508,4015,6116,5128,4628,3424,
4241,5779,6299,4905,6509,6510,5454,5702,5780,6300,4365,4923,3971,6511,5161,3270,
3158,5985,4100, 867,5129,5703,6117,5363,3695,3301,5513,4467,6118,6512,5455,4232,
4242,4629,6513,3959,4478,6514,5514,5329,5986,4850,5162,5566,3846,4694,6119,5456,
4869,5781,3779,6301,5704,5987,5515,4710,6302,5882,6120,4392,5364,5705,6515,6121,
6516,6517,3736,5988,5457,5989,4695,2457,5883,4551,5782,6303,6304,6305,5130,4971,
6122,5163,6123,4870,3263,5365,3150,4871,6518,6306,5783,5069,5706,3513,3498,4409,
5330,5632,5366,5458,5459,3991,5990,4502,3324,5991,5784,3696,4518,5633,4119,6519,
4630,5634,4417,5707,4832,5992,3418,6124,5993,5567,4768,5218,6520,4595,3458,5367,
6125,5635,6126,4202,6521,4740,4924,6307,3981,4069,4385,6308,3883,2675,4051,3834,
4302,4483,5568,5994,4972,4101,5368,6309,5164,5884,3922,6127,6522,6523,5261,5460,
5187,4164,5219,3538,5516,4111,3524,5995,6310,6311,5369,3181,3386,2484,5188,3464,
5569,3627,5708,6524,5406,5165,4677,4492,6312,4872,4851,5885,4468,5996,6313,5709,
5710,6128,2470,5886,6314,5293,4882,5785,3325,5461,5101,6129,5711,5786,6525,4906,
6526,6527,4418,5887,5712,4808,2907,3701,5713,5888,6528,3765,5636,5331,6529,6530,
3593,5889,3637,4943,3692,5714,5787,4925,6315,6130,5462,4405,6131,6132,6316,5262,
6531,6532,5715,3859,5716,5070,4696,5102,3929,5788,3987,4792,5997,6533,6534,3920,
4809,5000,5998,6535,2974,5370,6317,5189,5263,5717,3826,6536,3953,5001,4883,3190,
5463,5890,4973,5999,4741,6133,6134,3607,5570,6000,4711,3362,3630,4552,5041,6318,
6001,2950,2953,5637,4646,5371,4944,6002,2044,4120,3429,6319,6537,5103,4833,6538,
6539,4884,4647,3884,6003,6004,4758,3835,5220,5789,4565,5407,6540,6135,5294,4697,
4852,6320,6321,3206,4907,6541,6322,4945,6542,6136,6543,6323,6005,4631,3519,6544,
5891,6545,5464,3784,5221,6546,5571,4659,6547,6324,6137,5190,6548,3853,6549,4016,
4834,3954,6138,5332,3827,4017,3210,3546,4469,5408,5718,3505,4648,5790,5131,5638,
5791,5465,4727,4318,6325,6326,5792,4553,4010,4698,3439,4974,3638,4335,3085,6006,
5104,5042,5166,5892,5572,6327,4356,4519,5222,5573,5333,5793,5043,6550,5639,5071,
4503,6328,6139,6551,6140,3914,3901,5372,6007,5640,4728,4793,3976,3836,4885,6552,
4127,6553,4451,4102,5002,6554,3686,5105,6555,5191,5072,5295,4611,5794,5296,6556,
5893,5264,5894,4975,5466,5265,4699,4976,4370,4056,3492,5044,4886,6557,5795,4432,
4769,4357,5467,3940,4660,4290,6141,4484,4770,4661,3992,6329,4025,4662,5022,4632,
4835,4070,5297,4663,4596,5574,5132,5409,5895,6142,4504,5192,4664,5796,5896,3885,
5575,5797,5023,4810,5798,3732,5223,4712,5298,4084,5334,5468,6143,4052,4053,4336,
4977,4794,6558,5335,4908,5576,5224,4233,5024,4128,5469,5225,4873,6008,5045,4729,
4742,4633,3675,4597,6559,5897,5133,5577,5003,5641,5719,6330,6560,3017,2382,3854,
4406,4811,6331,4393,3964,4946,6561,2420,3722,6562,4926,4378,3247,1736,4442,6332,
5134,6333,5226,3996,2918,5470,4319,4003,4598,4743,4744,4485,3785,3902,5167,5004,
5373,4394,5898,6144,4874,1793,3997,6334,4085,4214,5106,5642,4909,5799,6009,4419,
4189,3330,5899,4165,4420,5299,5720,5227,3347,6145,4081,6335,2876,3930,6146,3293,
3786,3910,3998,5900,5300,5578,2840,6563,5901,5579,6147,3531,5374,6564,6565,5580,
4759,5375,6566,6148,3559,5643,6336,6010,5517,6337,6338,5721,5902,3873,6011,6339,
6567,5518,3868,3649,5722,6568,4771,4947,6569,6149,4812,6570,2853,5471,6340,6341,
5644,4795,6342,6012,5723,6343,5724,6013,4349,6344,3160,6150,5193,4599,4514,4493,
5168,4320,6345,4927,3666,4745,5169,5903,5005,4928,6346,5725,6014,4730,4203,5046,
4948,3395,5170,6015,4150,6016,5726,5519,6347,5047,3550,6151,6348,4197,4310,5904,
6571,5581,2965,6152,4978,3960,4291,5135,6572,5301,5727,4129,4026,5905,4853,5728,
5472,6153,6349,4533,2700,4505,5336,4678,3583,5073,2994,4486,3043,4554,5520,6350,
6017,5800,4487,6351,3931,4103,5376,6352,4011,4321,4311,4190,5136,6018,3988,3233,
4350,5906,5645,4198,6573,5107,3432,4191,3435,5582,6574,4139,5410,6353,5411,3944,
5583,5074,3198,6575,6354,4358,6576,5302,4600,5584,5194,5412,6577,6578,5585,5413,
5303,4248,5414,3879,4433,6579,4479,5025,4854,5415,6355,4760,4772,3683,2978,4700,
3797,4452,3965,3932,3721,4910,5801,6580,5195,3551,5907,3221,3471,3029,6019,3999,
5908,5909,5266,5267,3444,3023,3828,3170,4796,5646,4979,4259,6356,5647,5337,3694,
6357,5648,5338,4520,4322,5802,3031,3759,4071,6020,5586,4836,4386,5048,6581,3571,
4679,4174,4949,6154,4813,3787,3402,3822,3958,3215,3552,5268,4387,3933,4950,4359,
6021,5910,5075,3579,6358,4234,4566,5521,6359,3613,5049,6022,5911,3375,3702,3178,
4911,5339,4521,6582,6583,4395,3087,3811,5377,6023,6360,6155,4027,5171,5649,4421,
4249,2804,6584,2270,6585,4000,4235,3045,6156,5137,5729,4140,4312,3886,6361,4330,
6157,4215,6158,3500,3676,4929,4331,3713,4930,5912,4265,3776,3368,5587,4470,4855,
3038,4980,3631,6159,6160,4132,4680,6161,6362,3923,4379,5588,4255,6586,4121,6587,
6363,4649,6364,3288,4773,4774,6162,6024,6365,3543,6588,4274,3107,3737,5050,5803,
4797,4522,5589,5051,5730,3714,4887,5378,4001,4523,6163,5026,5522,4701,4175,2791,
3760,6589,5473,4224,4133,3847,4814,4815,4775,3259,5416,6590,2738,6164,6025,5304,
3733,5076,5650,4816,5590,6591,6165,6592,3934,5269,6593,3396,5340,6594,5804,3445,
3602,4042,4488,5731,5732,3525,5591,4601,5196,6166,6026,5172,3642,4612,3202,4506,
4798,6366,3818,5108,4303,5138,5139,4776,3332,4304,2915,3415,4434,5077,5109,4856,
2879,5305,4817,6595,5913,3104,3144,3903,4634,5341,3133,5110,5651,5805,6167,4057,
5592,2945,4371,5593,6596,3474,4182,6367,6597,6168,4507,4279,6598,2822,6599,4777,
4713,5594,3829,6169,3887,5417,6170,3653,5474,6368,4216,2971,5228,3790,4579,6369,
5733,6600,6601,4951,4746,4555,6602,5418,5475,6027,3400,4665,5806,6171,4799,6028,
5052,6172,3343,4800,4747,5006,6370,4556,4217,5476,4396,5229,5379,5477,3839,5914,
5652,5807,4714,3068,4635,5808,6173,5342,4192,5078,5419,5523,5734,6174,4557,6175,
4602,6371,6176,6603,5809,6372,5735,4260,3869,5111,5230,6029,5112,6177,3126,4681,
5524,5915,2706,3563,4748,3130,6178,4018,5525,6604,6605,5478,4012,4837,6606,4534,
4193,5810,4857,3615,5479,6030,4082,3697,3539,4086,5270,3662,4508,4931,5916,4912,
5811,5027,3888,6607,4397,3527,3302,3798,2775,2921,2637,3966,4122,4388,4028,4054,
1633,4858,5079,3024,5007,3982,3412,5736,6608,3426,3236,5595,3030,6179,3427,3336,
3279,3110,6373,3874,3039,5080,5917,5140,4489,3119,6374,5812,3405,4494,6031,4666,
4141,6180,4166,6032,5813,4981,6609,5081,4422,4982,4112,3915,5653,3296,3983,6375,
4266,4410,5654,6610,6181,3436,5082,6611,5380,6033,3819,5596,4535,5231,5306,5113,
6612,4952,5918,4275,3113,6613,6376,6182,6183,5814,3073,4731,4838,5008,3831,6614,
4888,3090,3848,4280,5526,5232,3014,5655,5009,5737,5420,5527,6615,5815,5343,5173,
5381,4818,6616,3151,4953,6617,5738,2796,3204,4360,2989,4281,5739,5174,5421,5197,
3132,5141,3849,5142,5528,5083,3799,3904,4839,5480,2880,4495,3448,6377,6184,5271,
5919,3771,3193,6034,6035,5920,5010,6036,5597,6037,6378,6038,3106,5422,6618,5423,
5424,4142,6619,4889,5084,4890,4313,5740,6620,3437,5175,5307,5816,4199,5198,5529,
5817,5199,5656,4913,5028,5344,3850,6185,2955,5272,5011,5818,4567,4580,5029,5921,
3616,5233,6621,6622,6186,4176,6039,6379,6380,3352,5200,5273,2908,5598,5234,3837,
5308,6623,6624,5819,4496,4323,5309,5201,6625,6626,4983,3194,3838,4167,5530,5922,
5274,6381,6382,3860,3861,5599,3333,4292,4509,6383,3553,5481,5820,5531,4778,6187,
3955,3956,4324,4389,4218,3945,4325,3397,2681,5923,4779,5085,4019,5482,4891,5382,
5383,6040,4682,3425,5275,4094,6627,5310,3015,5483,5657,4398,5924,3168,4819,6628,
5925,6629,5532,4932,4613,6041,6630,4636,6384,4780,4204,5658,4423,5821,3989,4683,
5822,6385,4954,6631,5345,6188,5425,5012,5384,3894,6386,4490,4104,6632,5741,5053,
6633,5823,5926,5659,5660,5927,6634,5235,5742,5824,4840,4933,4820,6387,4859,5928,
4955,6388,4143,3584,5825,5346,5013,6635,5661,6389,5014,5484,5743,4337,5176,5662,
6390,2836,6391,3268,6392,6636,6042,5236,6637,4158,6638,5744,5663,4471,5347,3663,
4123,5143,4293,3895,6639,6640,5311,5929,5826,3800,6189,6393,6190,5664,5348,3554,
3594,4749,4603,6641,5385,4801,6043,5827,4183,6642,5312,5426,4761,6394,5665,6191,
4715,2669,6643,6644,5533,3185,5427,5086,5930,5931,5386,6192,6044,6645,4781,4013,
5745,4282,4435,5534,4390,4267,6045,5746,4984,6046,2743,6193,3501,4087,5485,5932,
5428,4184,4095,5747,4061,5054,3058,3862,5933,5600,6646,5144,3618,6395,3131,5055,
5313,6396,4650,4956,3855,6194,3896,5202,4985,4029,4225,6195,6647,5828,5486,5829,
3589,3002,6648,6397,4782,5276,6649,6196,6650,4105,3803,4043,5237,5830,6398,4096,
3643,6399,3528,6651,4453,3315,4637,6652,3984,6197,5535,3182,3339,6653,3096,2660,
6400,6654,3449,5934,4250,4236,6047,6401,5831,6655,5487,3753,4062,5832,6198,6199,
6656,3766,6657,3403,4667,6048,6658,4338,2897,5833,3880,2797,3780,4326,6659,5748,
5015,6660,5387,4351,5601,4411,6661,3654,4424,5935,4339,4072,5277,4568,5536,6402,
6662,5238,6663,5349,5203,6200,5204,6201,5145,4536,5016,5056,4762,5834,4399,4957,
6202,6403,5666,5749,6664,4340,6665,5936,5177,5667,6666,6667,3459,4668,6404,6668,
6669,4543,6203,6670,4276,6405,4480,5537,6671,4614,5205,5668,6672,3348,2193,4763,
6406,6204,5937,5602,4177,5669,3419,6673,4020,6205,4443,4569,5388,3715,3639,6407,
6049,4058,6206,6674,5938,4544,6050,4185,4294,4841,4651,4615,5488,6207,6408,6051,
5178,3241,3509,5835,6208,4958,5836,4341,5489,5278,6209,2823,5538,5350,5206,5429,
6675,4638,4875,4073,3516,4684,4914,4860,5939,5603,5389,6052,5057,3237,5490,3791,
6676,6409,6677,4821,4915,4106,5351,5058,4243,5539,4244,5604,4842,4916,5239,3028,
3716,5837,5114,5605,5390,5940,5430,6210,4332,6678,5540,4732,3667,3840,6053,4305,
3408,5670,5541,6410,2744,5240,5750,6679,3234,5606,6680,5607,5671,3608,4283,4159,
4400,5352,4783,6681,6411,6682,4491,4802,6211,6412,5941,6413,6414,5542,5751,6683,
4669,3734,5942,6684,6415,5943,5059,3328,4670,4144,4268,6685,6686,6687,6688,4372,
3603,6689,5944,5491,4373,3440,6416,5543,4784,4822,5608,3792,4616,5838,5672,3514,
5391,6417,4892,6690,4639,6691,6054,5673,5839,6055,6692,6056,5392,6212,4038,5544,
5674,4497,6057,6693,5840,4284,5675,4021,4545,5609,6418,4454,6419,6213,4113,4472,
5314,3738,5087,5279,4074,5610,4959,4063,3179,4750,6058,6420,6214,3476,4498,4716,
5431,4960,4685,6215,5241,6694,6421,6216,6695,5841,5945,6422,3748,5946,5179,3905,
5752,5545,5947,4374,6217,4455,6423,4412,6218,4803,5353,6696,3832,5280,6219,4327,
4702,6220,6221,6059,4652,5432,6424,3749,4751,6425,5753,4986,5393,4917,5948,5030,
5754,4861,4733,6426,4703,6697,6222,4671,5949,4546,4961,5180,6223,5031,3316,5281,
6698,4862,4295,4934,5207,3644,6427,5842,5950,6428,6429,4570,5843,5282,6430,6224,
5088,3239,6060,6699,5844,5755,6061,6431,2701,5546,6432,5115,5676,4039,3993,3327,
4752,4425,5315,6433,3941,6434,5677,4617,4604,3074,4581,6225,5433,6435,6226,6062,
4823,5756,5116,6227,3717,5678,4717,5845,6436,5679,5846,6063,5847,6064,3977,3354,
6437,3863,5117,6228,5547,5394,4499,4524,6229,4605,6230,4306,4500,6700,5951,6065,
3693,5952,5089,4366,4918,6701,6231,5548,6232,6702,6438,4704,5434,6703,6704,5953,
4168,6705,5680,3420,6706,5242,4407,6066,3812,5757,5090,5954,4672,4525,3481,5681,
4618,5395,5354,5316,5955,6439,4962,6707,4526,6440,3465,4673,6067,6441,5682,6708,
5435,5492,5758,5683,4619,4571,4674,4804,4893,4686,5493,4753,6233,6068,4269,6442,
6234,5032,4705,5146,5243,5208,5848,6235,6443,4963,5033,4640,4226,6236,5849,3387,
6444,6445,4436,4437,5850,4843,5494,4785,4894,6709,4361,6710,5091,5956,3331,6237,
4987,5549,6069,6711,4342,3517,4473,5317,6070,6712,6071,4706,6446,5017,5355,6713,
6714,4988,5436,6447,4734,5759,6715,4735,4547,4456,4754,6448,5851,6449,6450,3547,
5852,5318,6451,6452,5092,4205,6716,6238,4620,4219,5611,6239,6072,4481,5760,5957,
5958,4059,6240,6453,4227,4537,6241,5761,4030,4186,5244,5209,3761,4457,4876,3337,
5495,5181,6242,5959,5319,5612,5684,5853,3493,5854,6073,4169,5613,5147,4895,6074,
5210,6717,5182,6718,3830,6243,2798,3841,6075,6244,5855,5614,3604,4606,5496,5685,
5118,5356,6719,6454,5960,5357,5961,6720,4145,3935,4621,5119,5962,4261,6721,6455,
4786,5963,4375,4582,6245,6246,6247,6076,5437,4877,5856,3376,4380,6248,4160,6722,
5148,6456,5211,6457,6723,4718,6458,6724,6249,5358,4044,3297,6459,6250,5857,5615,
5497,5245,6460,5498,6725,6251,6252,5550,3793,5499,2959,5396,6461,6462,4572,5093,
5500,5964,3806,4146,6463,4426,5762,5858,6077,6253,4755,3967,4220,5965,6254,4989,
5501,6464,4352,6726,6078,4764,2290,5246,3906,5438,5283,3767,4964,2861,5763,5094,
6255,6256,4622,5616,5859,5860,4707,6727,4285,4708,4824,5617,6257,5551,4787,5212,
4965,4935,4687,6465,6728,6466,5686,6079,3494,4413,2995,5247,5966,5618,6729,5967,
5764,5765,5687,5502,6730,6731,6080,5397,6467,4990,6258,6732,4538,5060,5619,6733,
4719,5688,5439,5018,5149,5284,5503,6734,6081,4607,6259,5120,3645,5861,4583,6260,
4584,4675,5620,4098,5440,6261,4863,2379,3306,4585,5552,5689,4586,5285,6735,4864,
6736,5286,6082,6737,4623,3010,4788,4381,4558,5621,4587,4896,3698,3161,5248,4353,
4045,6262,3754,5183,4588,6738,6263,6739,6740,5622,3936,6741,6468,6742,6264,5095,
6469,4991,5968,6743,4992,6744,6083,4897,6745,4256,5766,4307,3108,3968,4444,5287,
3889,4343,6084,4510,6085,4559,6086,4898,5969,6746,5623,5061,4919,5249,5250,5504,
5441,6265,5320,4878,3242,5862,5251,3428,6087,6747,4237,5624,5442,6266,5553,4539,
6748,2585,3533,5398,4262,6088,5150,4736,4438,6089,6267,5505,4966,6749,6268,6750,
6269,5288,5554,3650,6090,6091,4624,6092,5690,6751,5863,4270,5691,4277,5555,5864,
6752,5692,4720,4865,6470,5151,4688,4825,6753,3094,6754,6471,3235,4653,6755,5213,
5399,6756,3201,4589,5865,4967,6472,5866,6473,5019,3016,6757,5321,4756,3957,4573,
6093,4993,5767,4721,6474,6758,5625,6759,4458,6475,6270,6760,5556,4994,5214,5252,
6271,3875,5768,6094,5034,5506,4376,5769,6761,2120,6476,5253,5770,6762,5771,5970,
3990,5971,5557,5558,5772,6477,6095,2787,4641,5972,5121,6096,6097,6272,6763,3703,
5867,5507,6273,4206,6274,4789,6098,6764,3619,3646,3833,3804,2394,3788,4936,3978,
4866,4899,6099,6100,5559,6478,6765,3599,5868,6101,5869,5870,6275,6766,4527,6767)
)
# flake8: noqa

15
thirdparty/chardet/gb2312prober.py vendored
View File

@ -28,14 +28,19 @@
from .mbcharsetprober import MultiByteCharSetProber
from .codingstatemachine import CodingStateMachine
from .chardistribution import GB2312DistributionAnalysis
from .mbcssm import GB2312SMModel
from .mbcssm import GB2312_SM_MODEL
class GB2312Prober(MultiByteCharSetProber):
def __init__(self):
MultiByteCharSetProber.__init__(self)
self._mCodingSM = CodingStateMachine(GB2312SMModel)
self._mDistributionAnalyzer = GB2312DistributionAnalysis()
super(GB2312Prober, self).__init__()
self.coding_sm = CodingStateMachine(GB2312_SM_MODEL)
self.distribution_analyzer = GB2312DistributionAnalysis()
self.reset()
def get_charset_name(self):
@property
def charset_name(self):
return "GB2312"
@property
def language(self):
return "Chinese"

115
thirdparty/chardet/hebrewprober.py vendored
View File

@ -26,8 +26,7 @@
######################### END LICENSE BLOCK #########################
from .charsetprober import CharSetProber
from .constants import eNotMe, eDetecting
from .compat import wrap_ord
from .enums import ProbingState
# This prober doesn't actually recognize a language or a charset.
# It is a helper prober for the use of the Hebrew model probers
@ -126,6 +125,7 @@ from .compat import wrap_ord
# model probers scores. The answer is returned in the form of the name of the
# charset identified, either "windows-1255" or "ISO-8859-8".
class HebrewProber(CharSetProber):
# windows-1255 / ISO-8859-8 code points of interest
FINAL_KAF = 0xea
NORMAL_KAF = 0xeb
@ -151,31 +151,33 @@ MIN_MODEL_DISTANCE = 0.01
VISUAL_HEBREW_NAME = "ISO-8859-8"
LOGICAL_HEBREW_NAME = "windows-1255"
class HebrewProber(CharSetProber):
def __init__(self):
CharSetProber.__init__(self)
self._mLogicalProber = None
self._mVisualProber = None
super(HebrewProber, self).__init__()
self._final_char_logical_score = None
self._final_char_visual_score = None
self._prev = None
self._before_prev = None
self._logical_prober = None
self._visual_prober = None
self.reset()
def reset(self):
self._mFinalCharLogicalScore = 0
self._mFinalCharVisualScore = 0
self._final_char_logical_score = 0
self._final_char_visual_score = 0
# The two last characters seen in the previous buffer,
# mPrev and mBeforePrev are initialized to space in order to simulate
# a word delimiter at the beginning of the data
self._mPrev = ' '
self._mBeforePrev = ' '
self._prev = ' '
self._before_prev = ' '
# These probers are owned by the group prober.
def set_model_probers(self, logicalProber, visualProber):
self._mLogicalProber = logicalProber
self._mVisualProber = visualProber
self._logical_prober = logicalProber
self._visual_prober = visualProber
def is_final(self, c):
return wrap_ord(c) in [FINAL_KAF, FINAL_MEM, FINAL_NUN, FINAL_PE,
FINAL_TSADI]
return c in [self.FINAL_KAF, self.FINAL_MEM, self.FINAL_NUN,
self.FINAL_PE, self.FINAL_TSADI]
def is_non_final(self, c):
# The normal Tsadi is not a good Non-Final letter due to words like
@ -188,9 +190,10 @@ class HebrewProber(CharSetProber):
# for example legally end with a Non-Final Pe or Kaf. However, the
# benefit of these letters as Non-Final letters outweighs the damage
# since these words are quite rare.
return wrap_ord(c) in [NORMAL_KAF, NORMAL_MEM, NORMAL_NUN, NORMAL_PE]
return c in [self.NORMAL_KAF, self.NORMAL_MEM,
self.NORMAL_NUN, self.NORMAL_PE]
def feed(self, aBuf):
def feed(self, byte_str):
# Final letter analysis for logical-visual decision.
# Look for evidence that the received buffer is either logical Hebrew
# or visual Hebrew.
@ -217,67 +220,73 @@ class HebrewProber(CharSetProber):
# We automatically filter out all 7-bit characters (replace them with
# spaces) so the word boundary detection works properly. [MAP]
if self.get_state() == eNotMe:
if self.state == ProbingState.NOT_ME:
# Both model probers say it's not them. No reason to continue.
return eNotMe
return ProbingState.NOT_ME
aBuf = self.filter_high_bit_only(aBuf)
byte_str = self.filter_high_byte_only(byte_str)
for cur in aBuf:
for cur in byte_str:
if cur == ' ':
# We stand on a space - a word just ended
if self._mBeforePrev != ' ':
# next-to-last char was not a space so self._mPrev is not a
if self._before_prev != ' ':
# next-to-last char was not a space so self._prev is not a
# 1 letter word
if self.is_final(self._mPrev):
if self.is_final(self._prev):
# case (1) [-2:not space][-1:final letter][cur:space]
self._mFinalCharLogicalScore += 1
elif self.is_non_final(self._mPrev):
self._final_char_logical_score += 1
elif self.is_non_final(self._prev):
# case (2) [-2:not space][-1:Non-Final letter][
# cur:space]
self._mFinalCharVisualScore += 1
self._final_char_visual_score += 1
else:
# Not standing on a space
if ((self._mBeforePrev == ' ') and
(self.is_final(self._mPrev)) and (cur != ' ')):
if ((self._before_prev == ' ') and
(self.is_final(self._prev)) and (cur != ' ')):
# case (3) [-2:space][-1:final letter][cur:not space]
self._mFinalCharVisualScore += 1
self._mBeforePrev = self._mPrev
self._mPrev = cur
self._final_char_visual_score += 1
self._before_prev = self._prev
self._prev = cur
# Forever detecting, till the end or until both model probers return
# eNotMe (handled above)
return eDetecting
# ProbingState.NOT_ME (handled above)
return ProbingState.DETECTING
def get_charset_name(self):
@property
def charset_name(self):
# Make the decision: is it Logical or Visual?
# If the final letter score distance is dominant enough, rely on it.
finalsub = self._mFinalCharLogicalScore - self._mFinalCharVisualScore
if finalsub >= MIN_FINAL_CHAR_DISTANCE:
return LOGICAL_HEBREW_NAME
if finalsub <= -MIN_FINAL_CHAR_DISTANCE:
return VISUAL_HEBREW_NAME
finalsub = self._final_char_logical_score - self._final_char_visual_score
if finalsub >= self.MIN_FINAL_CHAR_DISTANCE:
return self.LOGICAL_HEBREW_NAME
if finalsub <= -self.MIN_FINAL_CHAR_DISTANCE:
return self.VISUAL_HEBREW_NAME
# It's not dominant enough, try to rely on the model scores instead.
modelsub = (self._mLogicalProber.get_confidence()
- self._mVisualProber.get_confidence())
if modelsub > MIN_MODEL_DISTANCE:
return LOGICAL_HEBREW_NAME
if modelsub < -MIN_MODEL_DISTANCE:
return VISUAL_HEBREW_NAME
modelsub = (self._logical_prober.get_confidence()
- self._visual_prober.get_confidence())
if modelsub > self.MIN_MODEL_DISTANCE:
return self.LOGICAL_HEBREW_NAME
if modelsub < -self.MIN_MODEL_DISTANCE:
return self.VISUAL_HEBREW_NAME
# Still no good, back to final letter distance, maybe it'll save the
# day.
if finalsub < 0.0:
return VISUAL_HEBREW_NAME
return self.VISUAL_HEBREW_NAME
# (finalsub > 0 - Logical) or (don't know what to do) default to
# Logical.
return LOGICAL_HEBREW_NAME
return self.LOGICAL_HEBREW_NAME
def get_state(self):
@property
def language(self):
return 'Hebrew'
@property
def state(self):
# Remain active as long as any of the model probers are active.
if (self._mLogicalProber.get_state() == eNotMe) and \
(self._mVisualProber.get_state() == eNotMe):
return eNotMe
return eDetecting
if (self._logical_prober.state == ProbingState.NOT_ME) and \
(self._visual_prober.state == ProbingState.NOT_ME):
return ProbingState.NOT_ME
return ProbingState.DETECTING

250
thirdparty/chardet/jisfreq.py vendored
View File

@ -46,7 +46,7 @@ JIS_TYPICAL_DISTRIBUTION_RATIO = 3.0
# Char to FreqOrder table ,
JIS_TABLE_SIZE = 4368
JISCharToFreqOrder = (
JIS_CHAR_TO_FREQ_ORDER = (
40, 1, 6, 182, 152, 180, 295,2127, 285, 381,3295,4304,3068,4606,3165,3510, # 16
3511,1822,2785,4607,1193,2226,5070,4608, 171,2996,1247, 18, 179,5071, 856,1661, # 32
1262,5072, 619, 127,3431,3512,3230,1899,1700, 232, 228,1294,1298, 284, 283,2041, # 48
@ -320,250 +320,6 @@ JISCharToFreqOrder = (
2413,2477,1216,2725,2159, 334,3840,1328,3624,2921,1525,4132, 564,1056, 891,4363, # 4336
1444,1698,2385,2251,3729,1365,2281,2235,1717,6188, 864,3841,2515, 444, 527,2767, # 4352
2922,3625, 544, 461,6189, 566, 209,2437,3398,2098,1065,2068,3331,3626,3257,2137, # 4368 #last 512
#Everything below is of no interest for detection purpose
2138,2122,3730,2888,1995,1820,1044,6190,6191,6192,6193,6194,6195,6196,6197,6198, # 4384
6199,6200,6201,6202,6203,6204,6205,4670,6206,6207,6208,6209,6210,6211,6212,6213, # 4400
6214,6215,6216,6217,6218,6219,6220,6221,6222,6223,6224,6225,6226,6227,6228,6229, # 4416
6230,6231,6232,6233,6234,6235,6236,6237,3187,6238,6239,3969,6240,6241,6242,6243, # 4432
6244,4671,6245,6246,4672,6247,6248,4133,6249,6250,4364,6251,2923,2556,2613,4673, # 4448
4365,3970,6252,6253,6254,6255,4674,6256,6257,6258,2768,2353,4366,4675,4676,3188, # 4464
4367,3463,6259,4134,4677,4678,6260,2267,6261,3842,3332,4368,3543,6262,6263,6264, # 4480
3013,1954,1928,4135,4679,6265,6266,2478,3091,6267,4680,4369,6268,6269,1699,6270, # 4496
3544,4136,4681,6271,4137,6272,4370,2804,6273,6274,2593,3971,3972,4682,6275,2236, # 4512
4683,6276,6277,4684,6278,6279,4138,3973,4685,6280,6281,3258,6282,6283,6284,6285, # 4528
3974,4686,2841,3975,6286,6287,3545,6288,6289,4139,4687,4140,6290,4141,6291,4142, # 4544
6292,6293,3333,6294,6295,6296,4371,6297,3399,6298,6299,4372,3976,6300,6301,6302, # 4560
4373,6303,6304,3843,3731,6305,4688,4374,6306,6307,3259,2294,6308,3732,2530,4143, # 4576
6309,4689,6310,6311,6312,3048,6313,6314,4690,3733,2237,6315,6316,2282,3334,6317, # 4592
6318,3844,6319,6320,4691,6321,3400,4692,6322,4693,6323,3049,6324,4375,6325,3977, # 4608
6326,6327,6328,3546,6329,4694,3335,6330,4695,4696,6331,6332,6333,6334,4376,3978, # 4624
6335,4697,3979,4144,6336,3980,4698,6337,6338,6339,6340,6341,4699,4700,4701,6342, # 4640
6343,4702,6344,6345,4703,6346,6347,4704,6348,4705,4706,3135,6349,4707,6350,4708, # 4656
6351,4377,6352,4709,3734,4145,6353,2506,4710,3189,6354,3050,4711,3981,6355,3547, # 4672
3014,4146,4378,3735,2651,3845,3260,3136,2224,1986,6356,3401,6357,4712,2594,3627, # 4688
3137,2573,3736,3982,4713,3628,4714,4715,2682,3629,4716,6358,3630,4379,3631,6359, # 4704
6360,6361,3983,6362,6363,6364,6365,4147,3846,4717,6366,6367,3737,2842,6368,4718, # 4720
2628,6369,3261,6370,2386,6371,6372,3738,3984,4719,3464,4720,3402,6373,2924,3336, # 4736
4148,2866,6374,2805,3262,4380,2704,2069,2531,3138,2806,2984,6375,2769,6376,4721, # 4752
4722,3403,6377,6378,3548,6379,6380,2705,3092,1979,4149,2629,3337,2889,6381,3338, # 4768
4150,2557,3339,4381,6382,3190,3263,3739,6383,4151,4723,4152,2558,2574,3404,3191, # 4784
6384,6385,4153,6386,4724,4382,6387,6388,4383,6389,6390,4154,6391,4725,3985,6392, # 4800
3847,4155,6393,6394,6395,6396,6397,3465,6398,4384,6399,6400,6401,6402,6403,6404, # 4816
4156,6405,6406,6407,6408,2123,6409,6410,2326,3192,4726,6411,6412,6413,6414,4385, # 4832
4157,6415,6416,4158,6417,3093,3848,6418,3986,6419,6420,3849,6421,6422,6423,4159, # 4848
6424,6425,4160,6426,3740,6427,6428,6429,6430,3987,6431,4727,6432,2238,6433,6434, # 4864
4386,3988,6435,6436,3632,6437,6438,2843,6439,6440,6441,6442,3633,6443,2958,6444, # 4880
6445,3466,6446,2364,4387,3850,6447,4388,2959,3340,6448,3851,6449,4728,6450,6451, # 4896
3264,4729,6452,3193,6453,4389,4390,2706,3341,4730,6454,3139,6455,3194,6456,3051, # 4912
2124,3852,1602,4391,4161,3853,1158,3854,4162,3989,4392,3990,4731,4732,4393,2040, # 4928
4163,4394,3265,6457,2807,3467,3855,6458,6459,6460,3991,3468,4733,4734,6461,3140, # 4944
2960,6462,4735,6463,6464,6465,6466,4736,4737,4738,4739,6467,6468,4164,2403,3856, # 4960
6469,6470,2770,2844,6471,4740,6472,6473,6474,6475,6476,6477,6478,3195,6479,4741, # 4976
4395,6480,2867,6481,4742,2808,6482,2493,4165,6483,6484,6485,6486,2295,4743,6487, # 4992
6488,6489,3634,6490,6491,6492,6493,6494,6495,6496,2985,4744,6497,6498,4745,6499, # 5008
6500,2925,3141,4166,6501,6502,4746,6503,6504,4747,6505,6506,6507,2890,6508,6509, # 5024
6510,6511,6512,6513,6514,6515,6516,6517,6518,6519,3469,4167,6520,6521,6522,4748, # 5040
4396,3741,4397,4749,4398,3342,2125,4750,6523,4751,4752,4753,3052,6524,2961,4168, # 5056
6525,4754,6526,4755,4399,2926,4169,6527,3857,6528,4400,4170,6529,4171,6530,6531, # 5072
2595,6532,6533,6534,6535,3635,6536,6537,6538,6539,6540,6541,6542,4756,6543,6544, # 5088
6545,6546,6547,6548,4401,6549,6550,6551,6552,4402,3405,4757,4403,6553,6554,6555, # 5104
4172,3742,6556,6557,6558,3992,3636,6559,6560,3053,2726,6561,3549,4173,3054,4404, # 5120
6562,6563,3993,4405,3266,3550,2809,4406,6564,6565,6566,4758,4759,6567,3743,6568, # 5136
4760,3744,4761,3470,6569,6570,6571,4407,6572,3745,4174,6573,4175,2810,4176,3196, # 5152
4762,6574,4177,6575,6576,2494,2891,3551,6577,6578,3471,6579,4408,6580,3015,3197, # 5168
6581,3343,2532,3994,3858,6582,3094,3406,4409,6583,2892,4178,4763,4410,3016,4411, # 5184
6584,3995,3142,3017,2683,6585,4179,6586,6587,4764,4412,6588,6589,4413,6590,2986, # 5200
6591,2962,3552,6592,2963,3472,6593,6594,4180,4765,6595,6596,2225,3267,4414,6597, # 5216
3407,3637,4766,6598,6599,3198,6600,4415,6601,3859,3199,6602,3473,4767,2811,4416, # 5232
1856,3268,3200,2575,3996,3997,3201,4417,6603,3095,2927,6604,3143,6605,2268,6606, # 5248
3998,3860,3096,2771,6607,6608,3638,2495,4768,6609,3861,6610,3269,2745,4769,4181, # 5264
3553,6611,2845,3270,6612,6613,6614,3862,6615,6616,4770,4771,6617,3474,3999,4418, # 5280
4419,6618,3639,3344,6619,4772,4182,6620,2126,6621,6622,6623,4420,4773,6624,3018, # 5296
6625,4774,3554,6626,4183,2025,3746,6627,4184,2707,6628,4421,4422,3097,1775,4185, # 5312
3555,6629,6630,2868,6631,6632,4423,6633,6634,4424,2414,2533,2928,6635,4186,2387, # 5328
6636,4775,6637,4187,6638,1891,4425,3202,3203,6639,6640,4776,6641,3345,6642,6643, # 5344
3640,6644,3475,3346,3641,4000,6645,3144,6646,3098,2812,4188,3642,3204,6647,3863, # 5360
3476,6648,3864,6649,4426,4001,6650,6651,6652,2576,6653,4189,4777,6654,6655,6656, # 5376
2846,6657,3477,3205,4002,6658,4003,6659,3347,2252,6660,6661,6662,4778,6663,6664, # 5392
6665,6666,6667,6668,6669,4779,4780,2048,6670,3478,3099,6671,3556,3747,4004,6672, # 5408
6673,6674,3145,4005,3748,6675,6676,6677,6678,6679,3408,6680,6681,6682,6683,3206, # 5424
3207,6684,6685,4781,4427,6686,4782,4783,4784,6687,6688,6689,4190,6690,6691,3479, # 5440
6692,2746,6693,4428,6694,6695,6696,6697,6698,6699,4785,6700,6701,3208,2727,6702, # 5456
3146,6703,6704,3409,2196,6705,4429,6706,6707,6708,2534,1996,6709,6710,6711,2747, # 5472
6712,6713,6714,4786,3643,6715,4430,4431,6716,3557,6717,4432,4433,6718,6719,6720, # 5488
6721,3749,6722,4006,4787,6723,6724,3644,4788,4434,6725,6726,4789,2772,6727,6728, # 5504
6729,6730,6731,2708,3865,2813,4435,6732,6733,4790,4791,3480,6734,6735,6736,6737, # 5520
4436,3348,6738,3410,4007,6739,6740,4008,6741,6742,4792,3411,4191,6743,6744,6745, # 5536
6746,6747,3866,6748,3750,6749,6750,6751,6752,6753,6754,6755,3867,6756,4009,6757, # 5552
4793,4794,6758,2814,2987,6759,6760,6761,4437,6762,6763,6764,6765,3645,6766,6767, # 5568
3481,4192,6768,3751,6769,6770,2174,6771,3868,3752,6772,6773,6774,4193,4795,4438, # 5584
3558,4796,4439,6775,4797,6776,6777,4798,6778,4799,3559,4800,6779,6780,6781,3482, # 5600
6782,2893,6783,6784,4194,4801,4010,6785,6786,4440,6787,4011,6788,6789,6790,6791, # 5616
6792,6793,4802,6794,6795,6796,4012,6797,6798,6799,6800,3349,4803,3483,6801,4804, # 5632
4195,6802,4013,6803,6804,4196,6805,4014,4015,6806,2847,3271,2848,6807,3484,6808, # 5648
6809,6810,4441,6811,4442,4197,4443,3272,4805,6812,3412,4016,1579,6813,6814,4017, # 5664
6815,3869,6816,2964,6817,4806,6818,6819,4018,3646,6820,6821,4807,4019,4020,6822, # 5680
6823,3560,6824,6825,4021,4444,6826,4198,6827,6828,4445,6829,6830,4199,4808,6831, # 5696
6832,6833,3870,3019,2458,6834,3753,3413,3350,6835,4809,3871,4810,3561,4446,6836, # 5712
6837,4447,4811,4812,6838,2459,4448,6839,4449,6840,6841,4022,3872,6842,4813,4814, # 5728
6843,6844,4815,4200,4201,4202,6845,4023,6846,6847,4450,3562,3873,6848,6849,4816, # 5744
4817,6850,4451,4818,2139,6851,3563,6852,6853,3351,6854,6855,3352,4024,2709,3414, # 5760
4203,4452,6856,4204,6857,6858,3874,3875,6859,6860,4819,6861,6862,6863,6864,4453, # 5776
3647,6865,6866,4820,6867,6868,6869,6870,4454,6871,2869,6872,6873,4821,6874,3754, # 5792
6875,4822,4205,6876,6877,6878,3648,4206,4455,6879,4823,6880,4824,3876,6881,3055, # 5808
4207,6882,3415,6883,6884,6885,4208,4209,6886,4210,3353,6887,3354,3564,3209,3485, # 5824
2652,6888,2728,6889,3210,3755,6890,4025,4456,6891,4825,6892,6893,6894,6895,4211, # 5840
6896,6897,6898,4826,6899,6900,4212,6901,4827,6902,2773,3565,6903,4828,6904,6905, # 5856
6906,6907,3649,3650,6908,2849,3566,6909,3567,3100,6910,6911,6912,6913,6914,6915, # 5872
4026,6916,3355,4829,3056,4457,3756,6917,3651,6918,4213,3652,2870,6919,4458,6920, # 5888
2438,6921,6922,3757,2774,4830,6923,3356,4831,4832,6924,4833,4459,3653,2507,6925, # 5904
4834,2535,6926,6927,3273,4027,3147,6928,3568,6929,6930,6931,4460,6932,3877,4461, # 5920
2729,3654,6933,6934,6935,6936,2175,4835,2630,4214,4028,4462,4836,4215,6937,3148, # 5936
4216,4463,4837,4838,4217,6938,6939,2850,4839,6940,4464,6941,6942,6943,4840,6944, # 5952
4218,3274,4465,6945,6946,2710,6947,4841,4466,6948,6949,2894,6950,6951,4842,6952, # 5968
4219,3057,2871,6953,6954,6955,6956,4467,6957,2711,6958,6959,6960,3275,3101,4843, # 5984
6961,3357,3569,6962,4844,6963,6964,4468,4845,3570,6965,3102,4846,3758,6966,4847, # 6000
3878,4848,4849,4029,6967,2929,3879,4850,4851,6968,6969,1733,6970,4220,6971,6972, # 6016
6973,6974,6975,6976,4852,6977,6978,6979,6980,6981,6982,3759,6983,6984,6985,3486, # 6032
3487,6986,3488,3416,6987,6988,6989,6990,6991,6992,6993,6994,6995,6996,6997,4853, # 6048
6998,6999,4030,7000,7001,3211,7002,7003,4221,7004,7005,3571,4031,7006,3572,7007, # 6064
2614,4854,2577,7008,7009,2965,3655,3656,4855,2775,3489,3880,4222,4856,3881,4032, # 6080
3882,3657,2730,3490,4857,7010,3149,7011,4469,4858,2496,3491,4859,2283,7012,7013, # 6096
7014,2365,4860,4470,7015,7016,3760,7017,7018,4223,1917,7019,7020,7021,4471,7022, # 6112
2776,4472,7023,7024,7025,7026,4033,7027,3573,4224,4861,4034,4862,7028,7029,1929, # 6128
3883,4035,7030,4473,3058,7031,2536,3761,3884,7032,4036,7033,2966,2895,1968,4474, # 6144
3276,4225,3417,3492,4226,2105,7034,7035,1754,2596,3762,4227,4863,4475,3763,4864, # 6160
3764,2615,2777,3103,3765,3658,3418,4865,2296,3766,2815,7036,7037,7038,3574,2872, # 6176
3277,4476,7039,4037,4477,7040,7041,4038,7042,7043,7044,7045,7046,7047,2537,7048, # 6192
7049,7050,7051,7052,7053,7054,4478,7055,7056,3767,3659,4228,3575,7057,7058,4229, # 6208
7059,7060,7061,3660,7062,3212,7063,3885,4039,2460,7064,7065,7066,7067,7068,7069, # 6224
7070,7071,7072,7073,7074,4866,3768,4867,7075,7076,7077,7078,4868,3358,3278,2653, # 6240
7079,7080,4479,3886,7081,7082,4869,7083,7084,7085,7086,7087,7088,2538,7089,7090, # 6256
7091,4040,3150,3769,4870,4041,2896,3359,4230,2930,7092,3279,7093,2967,4480,3213, # 6272
4481,3661,7094,7095,7096,7097,7098,7099,7100,7101,7102,2461,3770,7103,7104,4231, # 6288
3151,7105,7106,7107,4042,3662,7108,7109,4871,3663,4872,4043,3059,7110,7111,7112, # 6304
3493,2988,7113,4873,7114,7115,7116,3771,4874,7117,7118,4232,4875,7119,3576,2336, # 6320
4876,7120,4233,3419,4044,4877,4878,4482,4483,4879,4484,4234,7121,3772,4880,1045, # 6336
3280,3664,4881,4882,7122,7123,7124,7125,4883,7126,2778,7127,4485,4486,7128,4884, # 6352
3214,3887,7129,7130,3215,7131,4885,4045,7132,7133,4046,7134,7135,7136,7137,7138, # 6368
7139,7140,7141,7142,7143,4235,7144,4886,7145,7146,7147,4887,7148,7149,7150,4487, # 6384
4047,4488,7151,7152,4888,4048,2989,3888,7153,3665,7154,4049,7155,7156,7157,7158, # 6400
7159,7160,2931,4889,4890,4489,7161,2631,3889,4236,2779,7162,7163,4891,7164,3060, # 6416
7165,1672,4892,7166,4893,4237,3281,4894,7167,7168,3666,7169,3494,7170,7171,4050, # 6432
7172,7173,3104,3360,3420,4490,4051,2684,4052,7174,4053,7175,7176,7177,2253,4054, # 6448
7178,7179,4895,7180,3152,3890,3153,4491,3216,7181,7182,7183,2968,4238,4492,4055, # 6464
7184,2990,7185,2479,7186,7187,4493,7188,7189,7190,7191,7192,4896,7193,4897,2969, # 6480
4494,4898,7194,3495,7195,7196,4899,4495,7197,3105,2731,7198,4900,7199,7200,7201, # 6496
4056,7202,3361,7203,7204,4496,4901,4902,7205,4497,7206,7207,2315,4903,7208,4904, # 6512
7209,4905,2851,7210,7211,3577,7212,3578,4906,7213,4057,3667,4907,7214,4058,2354, # 6528
3891,2376,3217,3773,7215,7216,7217,7218,7219,4498,7220,4908,3282,2685,7221,3496, # 6544
4909,2632,3154,4910,7222,2337,7223,4911,7224,7225,7226,4912,4913,3283,4239,4499, # 6560
7227,2816,7228,7229,7230,7231,7232,7233,7234,4914,4500,4501,7235,7236,7237,2686, # 6576
7238,4915,7239,2897,4502,7240,4503,7241,2516,7242,4504,3362,3218,7243,7244,7245, # 6592
4916,7246,7247,4505,3363,7248,7249,7250,7251,3774,4506,7252,7253,4917,7254,7255, # 6608
3284,2991,4918,4919,3219,3892,4920,3106,3497,4921,7256,7257,7258,4922,7259,4923, # 6624
3364,4507,4508,4059,7260,4240,3498,7261,7262,4924,7263,2992,3893,4060,3220,7264, # 6640
7265,7266,7267,7268,7269,4509,3775,7270,2817,7271,4061,4925,4510,3776,7272,4241, # 6656
4511,3285,7273,7274,3499,7275,7276,7277,4062,4512,4926,7278,3107,3894,7279,7280, # 6672
4927,7281,4513,7282,7283,3668,7284,7285,4242,4514,4243,7286,2058,4515,4928,4929, # 6688
4516,7287,3286,4244,7288,4517,7289,7290,7291,3669,7292,7293,4930,4931,4932,2355, # 6704
4933,7294,2633,4518,7295,4245,7296,7297,4519,7298,7299,4520,4521,4934,7300,4246, # 6720
4522,7301,7302,7303,3579,7304,4247,4935,7305,4936,7306,7307,7308,7309,3777,7310, # 6736
4523,7311,7312,7313,4248,3580,7314,4524,3778,4249,7315,3581,7316,3287,7317,3221, # 6752
7318,4937,7319,7320,7321,7322,7323,7324,4938,4939,7325,4525,7326,7327,7328,4063, # 6768
7329,7330,4940,7331,7332,4941,7333,4526,7334,3500,2780,1741,4942,2026,1742,7335, # 6784
7336,3582,4527,2388,7337,7338,7339,4528,7340,4250,4943,7341,7342,7343,4944,7344, # 6800
7345,7346,3020,7347,4945,7348,7349,7350,7351,3895,7352,3896,4064,3897,7353,7354, # 6816
7355,4251,7356,7357,3898,7358,3779,7359,3780,3288,7360,7361,4529,7362,4946,4530, # 6832
2027,7363,3899,4531,4947,3222,3583,7364,4948,7365,7366,7367,7368,4949,3501,4950, # 6848
3781,4951,4532,7369,2517,4952,4252,4953,3155,7370,4954,4955,4253,2518,4533,7371, # 6864
7372,2712,4254,7373,7374,7375,3670,4956,3671,7376,2389,3502,4065,7377,2338,7378, # 6880
7379,7380,7381,3061,7382,4957,7383,7384,7385,7386,4958,4534,7387,7388,2993,7389, # 6896
3062,7390,4959,7391,7392,7393,4960,3108,4961,7394,4535,7395,4962,3421,4536,7396, # 6912
4963,7397,4964,1857,7398,4965,7399,7400,2176,3584,4966,7401,7402,3422,4537,3900, # 6928
3585,7403,3782,7404,2852,7405,7406,7407,4538,3783,2654,3423,4967,4539,7408,3784, # 6944
3586,2853,4540,4541,7409,3901,7410,3902,7411,7412,3785,3109,2327,3903,7413,7414, # 6960
2970,4066,2932,7415,7416,7417,3904,3672,3424,7418,4542,4543,4544,7419,4968,7420, # 6976
7421,4255,7422,7423,7424,7425,7426,4067,7427,3673,3365,4545,7428,3110,2559,3674, # 6992
7429,7430,3156,7431,7432,3503,7433,3425,4546,7434,3063,2873,7435,3223,4969,4547, # 7008
4548,2898,4256,4068,7436,4069,3587,3786,2933,3787,4257,4970,4971,3788,7437,4972, # 7024
3064,7438,4549,7439,7440,7441,7442,7443,4973,3905,7444,2874,7445,7446,7447,7448, # 7040
3021,7449,4550,3906,3588,4974,7450,7451,3789,3675,7452,2578,7453,4070,7454,7455, # 7056
7456,4258,3676,7457,4975,7458,4976,4259,3790,3504,2634,4977,3677,4551,4260,7459, # 7072
7460,7461,7462,3907,4261,4978,7463,7464,7465,7466,4979,4980,7467,7468,2213,4262, # 7088
7469,7470,7471,3678,4981,7472,2439,7473,4263,3224,3289,7474,3908,2415,4982,7475, # 7104
4264,7476,4983,2655,7477,7478,2732,4552,2854,2875,7479,7480,4265,7481,4553,4984, # 7120
7482,7483,4266,7484,3679,3366,3680,2818,2781,2782,3367,3589,4554,3065,7485,4071, # 7136
2899,7486,7487,3157,2462,4072,4555,4073,4985,4986,3111,4267,2687,3368,4556,4074, # 7152
3791,4268,7488,3909,2783,7489,2656,1962,3158,4557,4987,1963,3159,3160,7490,3112, # 7168
4988,4989,3022,4990,4991,3792,2855,7491,7492,2971,4558,7493,7494,4992,7495,7496, # 7184
7497,7498,4993,7499,3426,4559,4994,7500,3681,4560,4269,4270,3910,7501,4075,4995, # 7200
4271,7502,7503,4076,7504,4996,7505,3225,4997,4272,4077,2819,3023,7506,7507,2733, # 7216
4561,7508,4562,7509,3369,3793,7510,3590,2508,7511,7512,4273,3113,2994,2616,7513, # 7232
7514,7515,7516,7517,7518,2820,3911,4078,2748,7519,7520,4563,4998,7521,7522,7523, # 7248
7524,4999,4274,7525,4564,3682,2239,4079,4565,7526,7527,7528,7529,5000,7530,7531, # 7264
5001,4275,3794,7532,7533,7534,3066,5002,4566,3161,7535,7536,4080,7537,3162,7538, # 7280
7539,4567,7540,7541,7542,7543,7544,7545,5003,7546,4568,7547,7548,7549,7550,7551, # 7296
7552,7553,7554,7555,7556,5004,7557,7558,7559,5005,7560,3795,7561,4569,7562,7563, # 7312
7564,2821,3796,4276,4277,4081,7565,2876,7566,5006,7567,7568,2900,7569,3797,3912, # 7328
7570,7571,7572,4278,7573,7574,7575,5007,7576,7577,5008,7578,7579,4279,2934,7580, # 7344
7581,5009,7582,4570,7583,4280,7584,7585,7586,4571,4572,3913,7587,4573,3505,7588, # 7360
5010,7589,7590,7591,7592,3798,4574,7593,7594,5011,7595,4281,7596,7597,7598,4282, # 7376
5012,7599,7600,5013,3163,7601,5014,7602,3914,7603,7604,2734,4575,4576,4577,7605, # 7392
7606,7607,7608,7609,3506,5015,4578,7610,4082,7611,2822,2901,2579,3683,3024,4579, # 7408
3507,7612,4580,7613,3226,3799,5016,7614,7615,7616,7617,7618,7619,7620,2995,3290, # 7424
7621,4083,7622,5017,7623,7624,7625,7626,7627,4581,3915,7628,3291,7629,5018,7630, # 7440
7631,7632,7633,4084,7634,7635,3427,3800,7636,7637,4582,7638,5019,4583,5020,7639, # 7456
3916,7640,3801,5021,4584,4283,7641,7642,3428,3591,2269,7643,2617,7644,4585,3592, # 7472
7645,4586,2902,7646,7647,3227,5022,7648,4587,7649,4284,7650,7651,7652,4588,2284, # 7488
7653,5023,7654,7655,7656,4589,5024,3802,7657,7658,5025,3508,4590,7659,7660,7661, # 7504
1969,5026,7662,7663,3684,1821,2688,7664,2028,2509,4285,7665,2823,1841,7666,2689, # 7520
3114,7667,3917,4085,2160,5027,5028,2972,7668,5029,7669,7670,7671,3593,4086,7672, # 7536
4591,4087,5030,3803,7673,7674,7675,7676,7677,7678,7679,4286,2366,4592,4593,3067, # 7552
2328,7680,7681,4594,3594,3918,2029,4287,7682,5031,3919,3370,4288,4595,2856,7683, # 7568
3509,7684,7685,5032,5033,7686,7687,3804,2784,7688,7689,7690,7691,3371,7692,7693, # 7584
2877,5034,7694,7695,3920,4289,4088,7696,7697,7698,5035,7699,5036,4290,5037,5038, # 7600
5039,7700,7701,7702,5040,5041,3228,7703,1760,7704,5042,3229,4596,2106,4089,7705, # 7616
4597,2824,5043,2107,3372,7706,4291,4090,5044,7707,4091,7708,5045,3025,3805,4598, # 7632
4292,4293,4294,3373,7709,4599,7710,5046,7711,7712,5047,5048,3806,7713,7714,7715, # 7648
5049,7716,7717,7718,7719,4600,5050,7720,7721,7722,5051,7723,4295,3429,7724,7725, # 7664
7726,7727,3921,7728,3292,5052,4092,7729,7730,7731,7732,7733,7734,7735,5053,5054, # 7680
7736,7737,7738,7739,3922,3685,7740,7741,7742,7743,2635,5055,7744,5056,4601,7745, # 7696
7746,2560,7747,7748,7749,7750,3923,7751,7752,7753,7754,7755,4296,2903,7756,7757, # 7712
7758,7759,7760,3924,7761,5057,4297,7762,7763,5058,4298,7764,4093,7765,7766,5059, # 7728
3925,7767,7768,7769,7770,7771,7772,7773,7774,7775,7776,3595,7777,4299,5060,4094, # 7744
7778,3293,5061,7779,7780,4300,7781,7782,4602,7783,3596,7784,7785,3430,2367,7786, # 7760
3164,5062,5063,4301,7787,7788,4095,5064,5065,7789,3374,3115,7790,7791,7792,7793, # 7776
7794,7795,7796,3597,4603,7797,7798,3686,3116,3807,5066,7799,7800,5067,7801,7802, # 7792
4604,4302,5068,4303,4096,7803,7804,3294,7805,7806,5069,4605,2690,7807,3026,7808, # 7808
7809,7810,7811,7812,7813,7814,7815,7816,7817,7818,7819,7820,7821,7822,7823,7824, # 7824
7825,7826,7827,7828,7829,7830,7831,7832,7833,7834,7835,7836,7837,7838,7839,7840, # 7840
7841,7842,7843,7844,7845,7846,7847,7848,7849,7850,7851,7852,7853,7854,7855,7856, # 7856
7857,7858,7859,7860,7861,7862,7863,7864,7865,7866,7867,7868,7869,7870,7871,7872, # 7872
7873,7874,7875,7876,7877,7878,7879,7880,7881,7882,7883,7884,7885,7886,7887,7888, # 7888
7889,7890,7891,7892,7893,7894,7895,7896,7897,7898,7899,7900,7901,7902,7903,7904, # 7904
7905,7906,7907,7908,7909,7910,7911,7912,7913,7914,7915,7916,7917,7918,7919,7920, # 7920
7921,7922,7923,7924,3926,7925,7926,7927,7928,7929,7930,7931,7932,7933,7934,7935, # 7936
7936,7937,7938,7939,7940,7941,7942,7943,7944,7945,7946,7947,7948,7949,7950,7951, # 7952
7952,7953,7954,7955,7956,7957,7958,7959,7960,7961,7962,7963,7964,7965,7966,7967, # 7968
7968,7969,7970,7971,7972,7973,7974,7975,7976,7977,7978,7979,7980,7981,7982,7983, # 7984
7984,7985,7986,7987,7988,7989,7990,7991,7992,7993,7994,7995,7996,7997,7998,7999, # 8000
8000,8001,8002,8003,8004,8005,8006,8007,8008,8009,8010,8011,8012,8013,8014,8015, # 8016
8016,8017,8018,8019,8020,8021,8022,8023,8024,8025,8026,8027,8028,8029,8030,8031, # 8032
8032,8033,8034,8035,8036,8037,8038,8039,8040,8041,8042,8043,8044,8045,8046,8047, # 8048
8048,8049,8050,8051,8052,8053,8054,8055,8056,8057,8058,8059,8060,8061,8062,8063, # 8064
8064,8065,8066,8067,8068,8069,8070,8071,8072,8073,8074,8075,8076,8077,8078,8079, # 8080
8080,8081,8082,8083,8084,8085,8086,8087,8088,8089,8090,8091,8092,8093,8094,8095, # 8096
8096,8097,8098,8099,8100,8101,8102,8103,8104,8105,8106,8107,8108,8109,8110,8111, # 8112
8112,8113,8114,8115,8116,8117,8118,8119,8120,8121,8122,8123,8124,8125,8126,8127, # 8128
8128,8129,8130,8131,8132,8133,8134,8135,8136,8137,8138,8139,8140,8141,8142,8143, # 8144
8144,8145,8146,8147,8148,8149,8150,8151,8152,8153,8154,8155,8156,8157,8158,8159, # 8160
8160,8161,8162,8163,8164,8165,8166,8167,8168,8169,8170,8171,8172,8173,8174,8175, # 8176
8176,8177,8178,8179,8180,8181,8182,8183,8184,8185,8186,8187,8188,8189,8190,8191, # 8192
8192,8193,8194,8195,8196,8197,8198,8199,8200,8201,8202,8203,8204,8205,8206,8207, # 8208
8208,8209,8210,8211,8212,8213,8214,8215,8216,8217,8218,8219,8220,8221,8222,8223, # 8224
8224,8225,8226,8227,8228,8229,8230,8231,8232,8233,8234,8235,8236,8237,8238,8239, # 8240
8240,8241,8242,8243,8244,8245,8246,8247,8248,8249,8250,8251,8252,8253,8254,8255, # 8256
8256,8257,8258,8259,8260,8261,8262,8263,8264,8265,8266,8267,8268,8269,8270,8271) # 8272
)
# flake8: noqa

124
thirdparty/chardet/jpcntx.py vendored
View File

@ -25,13 +25,6 @@
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
from .compat import wrap_ord
NUM_OF_CATEGORY = 6
DONT_KNOW = -1
ENOUGH_REL_THRESHOLD = 100
MAX_REL_THRESHOLD = 1000
MINIMUM_DATA_THRESHOLD = 4
# This is hiragana 2-char sequence table, the number in each cell represents its frequency category
jp2CharContext = (
@ -120,24 +113,35 @@ jp2CharContext = (
(0,4,0,3,0,3,0,3,0,3,5,5,3,3,3,3,4,3,4,3,3,3,4,4,4,3,3,3,3,4,3,5,3,3,1,3,2,4,5,5,5,5,4,3,4,5,5,3,2,2,3,3,3,3,2,3,3,1,2,3,2,4,3,3,3,4,0,4,0,2,0,4,3,2,2,1,2,0,3,0,0,4,1),
)
class JapaneseContextAnalysis:
class JapaneseContextAnalysis(object):
NUM_OF_CATEGORY = 6
DONT_KNOW = -1
ENOUGH_REL_THRESHOLD = 100
MAX_REL_THRESHOLD = 1000
MINIMUM_DATA_THRESHOLD = 4
def __init__(self):
self._total_rel = None
self._rel_sample = None
self._need_to_skip_char_num = None
self._last_char_order = None
self._done = None
self.reset()
def reset(self):
self._mTotalRel = 0 # total sequence received
# category counters, each interger counts sequence in its category
self._mRelSample = [0] * NUM_OF_CATEGORY
self._total_rel = 0 # total sequence received
# category counters, each integer counts sequence in its category
self._rel_sample = [0] * self.NUM_OF_CATEGORY
# if last byte in current buffer is not the last byte of a character,
# we need to know how many bytes to skip in next buffer
self._mNeedToSkipCharNum = 0
self._mLastCharOrder = -1 # The order of previous char
self._need_to_skip_char_num = 0
self._last_char_order = -1 # The order of previous char
# If this flag is set to True, detection is done and conclusion has
# been made
self._mDone = False
self._done = False
def feed(self, aBuf, aLen):
if self._mDone:
def feed(self, byte_str, num_bytes):
if self._done:
return
# The buffer we got is byte oriented, and a character may span in more than one
@ -147,81 +151,83 @@ class JapaneseContextAnalysis:
# well and analyse the character once it is complete, but since a
# character will not make much difference, by simply skipping
# this character will simply our logic and improve performance.
i = self._mNeedToSkipCharNum
while i < aLen:
order, charLen = self.get_order(aBuf[i:i + 2])
i += charLen
if i > aLen:
self._mNeedToSkipCharNum = i - aLen
self._mLastCharOrder = -1
i = self._need_to_skip_char_num
while i < num_bytes:
order, char_len = self.get_order(byte_str[i:i + 2])
i += char_len
if i > num_bytes:
self._need_to_skip_char_num = i - num_bytes
self._last_char_order = -1
else:
if (order != -1) and (self._mLastCharOrder != -1):
self._mTotalRel += 1
if self._mTotalRel > MAX_REL_THRESHOLD:
self._mDone = True
if (order != -1) and (self._last_char_order != -1):
self._total_rel += 1
if self._total_rel > self.MAX_REL_THRESHOLD:
self._done = True
break
self._mRelSample[jp2CharContext[self._mLastCharOrder][order]] += 1
self._mLastCharOrder = order
self._rel_sample[jp2CharContext[self._last_char_order][order]] += 1
self._last_char_order = order
def got_enough_data(self):
return self._mTotalRel > ENOUGH_REL_THRESHOLD
return self._total_rel > self.ENOUGH_REL_THRESHOLD
def get_confidence(self):
# This is just one way to calculate confidence. It works well for me.
if self._mTotalRel > MINIMUM_DATA_THRESHOLD:
return (self._mTotalRel - self._mRelSample[0]) / self._mTotalRel
if self._total_rel > self.MINIMUM_DATA_THRESHOLD:
return (self._total_rel - self._rel_sample[0]) / self._total_rel
else:
return DONT_KNOW
return self.DONT_KNOW
def get_order(self, aBuf):
def get_order(self, byte_str):
return -1, 1
class SJISContextAnalysis(JapaneseContextAnalysis):
def __init__(self):
self.charset_name = "SHIFT_JIS"
super(SJISContextAnalysis, self).__init__()
self._charset_name = "SHIFT_JIS"
def get_charset_name(self):
return self.charset_name
@property
def charset_name(self):
return self._charset_name
def get_order(self, aBuf):
if not aBuf:
def get_order(self, byte_str):
if not byte_str:
return -1, 1
# find out current char's byte length
first_char = wrap_ord(aBuf[0])
if ((0x81 <= first_char <= 0x9F) or (0xE0 <= first_char <= 0xFC)):
charLen = 2
first_char = byte_str[0]
if (0x81 <= first_char <= 0x9F) or (0xE0 <= first_char <= 0xFC):
char_len = 2
if (first_char == 0x87) or (0xFA <= first_char <= 0xFC):
self.charset_name = "CP932"
self._charset_name = "CP932"
else:
charLen = 1
char_len = 1
# return its order if it is hiragana
if len(aBuf) > 1:
second_char = wrap_ord(aBuf[1])
if len(byte_str) > 1:
second_char = byte_str[1]
if (first_char == 202) and (0x9F <= second_char <= 0xF1):
return second_char - 0x9F, charLen
return second_char - 0x9F, char_len
return -1, charLen
return -1, char_len
class EUCJPContextAnalysis(JapaneseContextAnalysis):
def get_order(self, aBuf):
if not aBuf:
def get_order(self, byte_str):
if not byte_str:
return -1, 1
# find out current char's byte length
first_char = wrap_ord(aBuf[0])
first_char = byte_str[0]
if (first_char == 0x8E) or (0xA1 <= first_char <= 0xFE):
charLen = 2
char_len = 2
elif first_char == 0x8F:
charLen = 3
char_len = 3
else:
charLen = 1
char_len = 1
# return its order if it is hiragana
if len(aBuf) > 1:
second_char = wrap_ord(aBuf[1])
if len(byte_str) > 1:
second_char = byte_str[1]
if (first_char == 0xA4) and (0xA1 <= second_char <= 0xF3):
return second_char - 0xA1, charLen
return second_char - 0xA1, char_len
return -1, char_len
return -1, charLen
# flake8: noqa

25
thirdparty/chardet/langbulgarianmodel.py vendored
View File

@ -210,20 +210,19 @@ BulgarianLangModel = (
)
Latin5BulgarianModel = {
'charToOrderMap': Latin5_BulgarianCharToOrderMap,
'precedenceMatrix': BulgarianLangModel,
'mTypicalPositiveRatio': 0.969392,
'keepEnglishLetter': False,
'charsetName': "ISO-8859-5"
'char_to_order_map': Latin5_BulgarianCharToOrderMap,
'precedence_matrix': BulgarianLangModel,
'typical_positive_ratio': 0.969392,
'keep_english_letter': False,
'charset_name': "ISO-8859-5",
'language': 'Bulgairan',
}
Win1251BulgarianModel = {
'charToOrderMap': win1251BulgarianCharToOrderMap,
'precedenceMatrix': BulgarianLangModel,
'mTypicalPositiveRatio': 0.969392,
'keepEnglishLetter': False,
'charsetName': "windows-1251"
'char_to_order_map': win1251BulgarianCharToOrderMap,
'precedence_matrix': BulgarianLangModel,
'typical_positive_ratio': 0.969392,
'keep_english_letter': False,
'charset_name': "windows-1251",
'language': 'Bulgarian',
}
# flake8: noqa

82
thirdparty/chardet/langcyrillicmodel.py vendored
View File

@ -27,7 +27,7 @@
# KOI8-R language model
# Character Mapping Table:
KOI8R_CharToOrderMap = (
KOI8R_char_to_order_map = (
255,255,255,255,255,255,255,255,255,255,254,255,255,254,255,255, # 00
255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, # 10
253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253, # 20
@ -46,7 +46,7 @@ KOI8R_CharToOrderMap = (
35, 43, 45, 32, 40, 52, 56, 33, 61, 62, 51, 57, 47, 63, 50, 70, # f0
)
win1251_CharToOrderMap = (
win1251_char_to_order_map = (
255,255,255,255,255,255,255,255,255,255,254,255,255,254,255,255, # 00
255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, # 10
253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253, # 20
@ -65,7 +65,7 @@ win1251_CharToOrderMap = (
9, 7, 6, 14, 39, 26, 28, 22, 25, 29, 54, 18, 17, 30, 27, 16,
)
latin5_CharToOrderMap = (
latin5_char_to_order_map = (
255,255,255,255,255,255,255,255,255,255,254,255,255,254,255,255, # 00
255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, # 10
253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253, # 20
@ -84,7 +84,7 @@ latin5_CharToOrderMap = (
239, 68,240,241,242,243,244,245,246,247,248,249,250,251,252,255,
)
macCyrillic_CharToOrderMap = (
macCyrillic_char_to_order_map = (
255,255,255,255,255,255,255,255,255,255,254,255,255,254,255,255, # 00
255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, # 10
253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253, # 20
@ -103,7 +103,7 @@ macCyrillic_CharToOrderMap = (
9, 7, 6, 14, 39, 26, 28, 22, 25, 29, 54, 18, 17, 30, 27,255,
)
IBM855_CharToOrderMap = (
IBM855_char_to_order_map = (
255,255,255,255,255,255,255,255,255,255,254,255,255,254,255,255, # 00
255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, # 10
253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253, # 20
@ -122,7 +122,7 @@ IBM855_CharToOrderMap = (
250, 18, 62, 20, 51, 25, 57, 30, 47, 29, 63, 22, 50,251,252,255,
)
IBM866_CharToOrderMap = (
IBM866_char_to_order_map = (
255,255,255,255,255,255,255,255,255,255,254,255,255,254,255,255, # 00
255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, # 10
253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253, # 20
@ -279,51 +279,55 @@ RussianLangModel = (
)
Koi8rModel = {
'charToOrderMap': KOI8R_CharToOrderMap,
'precedenceMatrix': RussianLangModel,
'mTypicalPositiveRatio': 0.976601,
'keepEnglishLetter': False,
'charsetName': "KOI8-R"
'char_to_order_map': KOI8R_char_to_order_map,
'precedence_matrix': RussianLangModel,
'typical_positive_ratio': 0.976601,
'keep_english_letter': False,
'charset_name': "KOI8-R",
'language': 'Russian',
}
Win1251CyrillicModel = {
'charToOrderMap': win1251_CharToOrderMap,
'precedenceMatrix': RussianLangModel,
'mTypicalPositiveRatio': 0.976601,
'keepEnglishLetter': False,
'charsetName': "windows-1251"
'char_to_order_map': win1251_char_to_order_map,
'precedence_matrix': RussianLangModel,
'typical_positive_ratio': 0.976601,
'keep_english_letter': False,
'charset_name': "windows-1251",
'language': 'Russian',
}
Latin5CyrillicModel = {
'charToOrderMap': latin5_CharToOrderMap,
'precedenceMatrix': RussianLangModel,
'mTypicalPositiveRatio': 0.976601,
'keepEnglishLetter': False,
'charsetName': "ISO-8859-5"
'char_to_order_map': latin5_char_to_order_map,
'precedence_matrix': RussianLangModel,
'typical_positive_ratio': 0.976601,
'keep_english_letter': False,
'charset_name': "ISO-8859-5",
'language': 'Russian',
}
MacCyrillicModel = {
'charToOrderMap': macCyrillic_CharToOrderMap,
'precedenceMatrix': RussianLangModel,
'mTypicalPositiveRatio': 0.976601,
'keepEnglishLetter': False,
'charsetName': "MacCyrillic"
};
'char_to_order_map': macCyrillic_char_to_order_map,
'precedence_matrix': RussianLangModel,
'typical_positive_ratio': 0.976601,
'keep_english_letter': False,
'charset_name': "MacCyrillic",
'language': 'Russian',
}
Ibm866Model = {
'charToOrderMap': IBM866_CharToOrderMap,
'precedenceMatrix': RussianLangModel,
'mTypicalPositiveRatio': 0.976601,
'keepEnglishLetter': False,
'charsetName': "IBM866"
'char_to_order_map': IBM866_char_to_order_map,
'precedence_matrix': RussianLangModel,
'typical_positive_ratio': 0.976601,
'keep_english_letter': False,
'charset_name': "IBM866",
'language': 'Russian',
}
Ibm855Model = {
'charToOrderMap': IBM855_CharToOrderMap,
'precedenceMatrix': RussianLangModel,
'mTypicalPositiveRatio': 0.976601,
'keepEnglishLetter': False,
'charsetName': "IBM855"
'char_to_order_map': IBM855_char_to_order_map,
'precedence_matrix': RussianLangModel,
'typical_positive_ratio': 0.976601,
'keep_english_letter': False,
'charset_name': "IBM855",
'language': 'Russian',
}
# flake8: noqa

28
thirdparty/chardet/langgreekmodel.py vendored
View File

@ -31,7 +31,7 @@
# 252: 0 - 9
# Character Mapping Table:
Latin7_CharToOrderMap = (
Latin7_char_to_order_map = (
255,255,255,255,255,255,255,255,255,255,254,255,255,254,255,255, # 00
255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, # 10
253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253, # 20
@ -50,7 +50,7 @@ Latin7_CharToOrderMap = (
9, 8, 14, 7, 2, 12, 28, 23, 42, 24, 64, 75, 19, 26, 27,253, # f0
)
win1253_CharToOrderMap = (
win1253_char_to_order_map = (
255,255,255,255,255,255,255,255,255,255,254,255,255,254,255,255, # 00
255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, # 10
253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253, # 20
@ -207,19 +207,19 @@ GreekLangModel = (
)
Latin7GreekModel = {
'charToOrderMap': Latin7_CharToOrderMap,
'precedenceMatrix': GreekLangModel,
'mTypicalPositiveRatio': 0.982851,
'keepEnglishLetter': False,
'charsetName': "ISO-8859-7"
'char_to_order_map': Latin7_char_to_order_map,
'precedence_matrix': GreekLangModel,
'typical_positive_ratio': 0.982851,
'keep_english_letter': False,
'charset_name': "ISO-8859-7",
'language': 'Greek',
}
Win1253GreekModel = {
'charToOrderMap': win1253_CharToOrderMap,
'precedenceMatrix': GreekLangModel,
'mTypicalPositiveRatio': 0.982851,
'keepEnglishLetter': False,
'charsetName': "windows-1253"
'char_to_order_map': win1253_char_to_order_map,
'precedence_matrix': GreekLangModel,
'typical_positive_ratio': 0.982851,
'keep_english_letter': False,
'charset_name': "windows-1253",
'language': 'Greek',
}
# flake8: noqa

17
thirdparty/chardet/langhebrewmodel.py vendored
View File

@ -34,7 +34,7 @@
# Windows-1255 language model
# Character Mapping Table:
win1255_CharToOrderMap = (
WIN1255_CHAR_TO_ORDER_MAP = (
255,255,255,255,255,255,255,255,255,255,254,255,255,254,255,255, # 00
255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, # 10
253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253, # 20
@ -59,7 +59,7 @@ win1255_CharToOrderMap = (
# first 1024 sequences: 1.5981%
# rest sequences: 0.087%
# negative sequences: 0.0015%
HebrewLangModel = (
HEBREW_LANG_MODEL = (
0,3,3,3,3,3,3,3,3,3,3,2,3,3,3,3,3,3,3,3,3,3,3,2,3,2,1,2,0,1,0,0,
3,0,3,1,0,0,1,3,2,0,1,1,2,0,2,2,2,1,1,1,1,2,1,1,1,2,0,0,2,2,0,1,
3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,2,2,2,2,
@ -191,11 +191,10 @@ HebrewLangModel = (
)
Win1255HebrewModel = {
'charToOrderMap': win1255_CharToOrderMap,
'precedenceMatrix': HebrewLangModel,
'mTypicalPositiveRatio': 0.984004,
'keepEnglishLetter': False,
'charsetName': "windows-1255"
'char_to_order_map': WIN1255_CHAR_TO_ORDER_MAP,
'precedence_matrix': HEBREW_LANG_MODEL,
'typical_positive_ratio': 0.984004,
'keep_english_letter': False,
'charset_name': "windows-1255",
'language': 'Hebrew',
}
# flake8: noqa

24
thirdparty/chardet/langhungarianmodel.py vendored
View File

@ -207,19 +207,19 @@ HungarianLangModel = (
)
Latin2HungarianModel = {
'charToOrderMap': Latin2_HungarianCharToOrderMap,
'precedenceMatrix': HungarianLangModel,
'mTypicalPositiveRatio': 0.947368,
'keepEnglishLetter': True,
'charsetName': "ISO-8859-2"
'char_to_order_map': Latin2_HungarianCharToOrderMap,
'precedence_matrix': HungarianLangModel,
'typical_positive_ratio': 0.947368,
'keep_english_letter': True,
'charset_name': "ISO-8859-2",
'language': 'Hungarian',
}
Win1250HungarianModel = {
'charToOrderMap': win1250HungarianCharToOrderMap,
'precedenceMatrix': HungarianLangModel,
'mTypicalPositiveRatio': 0.947368,
'keepEnglishLetter': True,
'charsetName': "windows-1250"
'char_to_order_map': win1250HungarianCharToOrderMap,
'precedence_matrix': HungarianLangModel,
'typical_positive_ratio': 0.947368,
'keep_english_letter': True,
'charset_name': "windows-1250",
'language': 'Hungarian',
}
# flake8: noqa

13
thirdparty/chardet/langthaimodel.py vendored
View File

@ -190,11 +190,10 @@ ThaiLangModel = (
)
TIS620ThaiModel = {
'charToOrderMap': TIS620CharToOrderMap,
'precedenceMatrix': ThaiLangModel,
'mTypicalPositiveRatio': 0.926386,
'keepEnglishLetter': False,
'charsetName': "TIS-620"
'char_to_order_map': TIS620CharToOrderMap,
'precedence_matrix': ThaiLangModel,
'typical_positive_ratio': 0.926386,
'keep_english_letter': False,
'charset_name': "TIS-620",
'language': 'Thai',
}
# flake8: noqa

193
thirdparty/chardet/langturkishmodel.py vendored Normal file
View File

@ -0,0 +1,193 @@
# -*- coding: utf-8 -*-
######################## BEGIN LICENSE BLOCK ########################
# The Original Code is Mozilla Communicator client code.
#
# The Initial Developer of the Original Code is
# Netscape Communications Corporation.
# Portions created by the Initial Developer are Copyright (C) 1998
# the Initial Developer. All Rights Reserved.
#
# Contributor(s):
# Mark Pilgrim - port to Python
# Özgür Baskın - Turkish Language Model
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2.1 of the License, or (at your option) any later version.
#
# This library is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with this library; if not, write to the Free Software
# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
# 255: Control characters that usually does not exist in any text
# 254: Carriage/Return
# 253: symbol (punctuation) that does not belong to word
# 252: 0 - 9
# Character Mapping Table:
Latin5_TurkishCharToOrderMap = (
255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,
255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,
255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,
255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,
255, 23, 37, 47, 39, 29, 52, 36, 45, 53, 60, 16, 49, 20, 46, 42,
48, 69, 44, 35, 31, 51, 38, 62, 65, 43, 56,255,255,255,255,255,
255, 1, 21, 28, 12, 2, 18, 27, 25, 3, 24, 10, 5, 13, 4, 15,
26, 64, 7, 8, 9, 14, 32, 57, 58, 11, 22,255,255,255,255,255,
180,179,178,177,176,175,174,173,172,171,170,169,168,167,166,165,
164,163,162,161,160,159,101,158,157,156,155,154,153,152,151,106,
150,149,148,147,146,145,144,100,143,142,141,140,139,138,137,136,
94, 80, 93,135,105,134,133, 63,132,131,130,129,128,127,126,125,
124,104, 73, 99, 79, 85,123, 54,122, 98, 92,121,120, 91,103,119,
68,118,117, 97,116,115, 50, 90,114,113,112,111, 55, 41, 40, 86,
89, 70, 59, 78, 71, 82, 88, 33, 77, 66, 84, 83,110, 75, 61, 96,
30, 67,109, 74, 87,102, 34, 95, 81,108, 76, 72, 17, 6, 19,107,
)
TurkishLangModel = (
3,2,3,3,3,1,3,3,3,3,3,3,3,3,2,1,1,3,3,1,3,3,0,3,3,3,3,3,0,3,1,3,
3,2,1,0,0,1,1,0,0,0,1,0,0,1,1,1,1,0,0,0,0,0,0,0,2,2,0,0,1,0,0,1,
3,2,2,3,3,0,3,3,3,3,3,3,3,2,3,1,0,3,3,1,3,3,0,3,3,3,3,3,0,3,0,3,
3,1,1,0,1,0,1,0,0,0,0,0,0,1,1,1,1,0,0,0,0,0,0,0,2,2,0,0,0,1,0,1,
3,3,2,3,3,0,3,3,3,3,3,3,3,2,3,1,1,3,3,0,3,3,1,2,3,3,3,3,0,3,0,3,
3,1,1,0,0,0,1,0,0,0,0,1,1,0,1,2,1,0,0,0,1,0,0,0,0,2,0,0,0,0,0,1,
3,3,3,3,3,3,2,3,3,3,3,3,3,3,3,1,3,3,2,0,3,2,1,2,2,1,3,3,0,0,0,2,
2,2,0,1,0,0,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,1,0,1,0,0,1,
3,3,3,2,3,3,1,2,3,3,3,3,3,3,3,1,3,2,1,0,3,2,0,1,2,3,3,2,1,0,0,2,
2,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,2,0,2,0,0,0,
1,0,1,3,3,1,3,3,3,3,3,3,3,1,2,0,0,2,3,0,2,3,0,0,2,2,2,3,0,3,0,1,
2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,0,3,3,3,0,3,2,0,2,3,2,3,3,1,0,0,2,
3,2,0,0,1,0,0,0,0,0,0,2,0,0,1,0,0,0,0,0,0,0,0,0,1,1,1,0,2,0,0,1,
3,3,3,2,3,3,2,3,3,3,3,2,3,3,3,0,3,3,0,0,2,1,0,0,2,3,2,2,0,0,0,2,
2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,1,0,1,0,2,0,0,1,
3,3,3,2,3,3,3,3,3,3,3,2,3,3,3,0,3,2,0,1,3,2,1,1,3,2,3,2,1,0,0,2,
2,2,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,
3,3,3,2,3,3,3,3,3,3,3,2,3,3,3,0,3,2,2,0,2,3,0,0,2,2,2,2,0,0,0,2,
3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,0,1,0,0,0,
3,3,3,3,3,3,3,2,2,2,2,3,2,3,3,0,3,3,1,1,2,2,0,0,2,2,3,2,0,0,1,3,
0,3,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,1,
3,3,3,2,3,3,3,2,1,2,2,3,2,3,3,0,3,2,0,0,1,1,0,1,1,2,1,2,0,0,0,1,
0,3,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,1,0,0,0,
3,3,3,2,3,3,2,3,2,2,2,3,3,3,3,1,3,1,1,0,3,2,1,1,3,3,2,3,1,0,0,1,
1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,0,0,1,
3,2,2,3,3,0,3,3,3,3,3,3,3,2,2,1,0,3,3,1,3,3,0,1,3,3,2,3,0,3,0,3,
2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,
2,2,2,3,3,0,3,3,3,3,3,3,3,3,3,0,0,3,2,0,3,3,0,3,2,3,3,3,0,3,1,3,
2,0,0,0,0,0,0,0,0,0,0,1,0,1,2,0,1,0,0,0,0,0,0,0,2,2,0,0,1,0,0,1,
3,3,3,1,2,3,3,1,0,0,1,0,0,3,3,2,3,0,0,2,0,0,2,0,2,0,0,0,2,0,2,0,
0,3,1,0,1,0,0,0,2,2,1,0,1,1,2,1,2,2,2,0,2,1,1,0,0,0,2,0,0,0,0,0,
1,2,1,3,3,0,3,3,3,3,3,2,3,0,0,0,0,2,3,0,2,3,1,0,2,3,1,3,0,3,0,2,
3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
3,3,3,1,3,3,2,2,3,2,2,0,1,2,3,0,1,2,1,0,1,0,0,0,1,0,2,2,0,0,0,1,
1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,1,0,0,1,0,0,0,
3,3,3,1,3,3,1,1,3,3,1,1,3,3,1,0,2,1,2,0,2,1,0,0,1,1,2,1,0,0,0,2,
2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
3,3,3,1,0,2,1,3,0,0,2,0,0,3,3,0,3,0,0,1,0,1,2,0,0,1,1,2,2,0,1,0,
0,1,2,1,1,0,1,0,1,1,1,1,1,0,1,1,1,2,2,1,2,0,1,0,0,0,0,0,0,1,0,0,
3,3,3,2,3,2,3,3,0,2,2,2,3,3,3,0,3,0,0,0,2,2,0,1,2,1,1,1,0,0,0,1,
0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,
3,3,3,3,3,3,2,1,2,2,3,3,3,3,2,0,2,0,0,0,2,2,0,0,2,1,3,3,0,0,1,1,
1,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,
1,1,2,3,3,0,3,3,3,3,3,3,2,2,0,2,0,2,3,2,3,2,2,2,2,2,2,2,1,3,2,3,
2,0,2,1,2,2,2,2,1,1,2,2,1,2,2,1,2,0,0,2,1,1,0,2,1,0,0,1,0,0,0,1,
2,3,3,1,1,1,0,1,1,1,2,3,2,1,1,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,
0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
3,3,3,2,2,2,3,2,3,2,2,1,3,3,3,0,2,1,2,0,2,1,0,0,1,1,1,1,1,0,0,1,
2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,2,0,1,0,0,0,
3,3,3,2,3,3,3,3,3,2,3,1,2,3,3,1,2,0,0,0,0,0,0,0,3,2,1,1,0,0,0,0,
2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,
3,3,3,2,2,3,3,2,1,1,1,1,1,3,3,0,3,1,0,0,1,1,0,0,3,1,2,1,0,0,0,0,
0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,
3,3,3,2,2,3,2,2,2,3,2,1,1,3,3,0,3,0,0,0,0,1,0,0,3,1,1,2,0,0,0,1,
1,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,
1,1,1,3,3,0,3,3,3,3,3,2,2,2,1,2,0,2,1,2,2,1,1,0,1,2,2,2,2,2,2,2,
0,0,2,1,2,1,2,1,0,1,1,3,1,2,1,1,2,0,0,2,0,1,0,1,0,1,0,0,0,1,0,1,
3,3,3,1,3,3,3,0,1,1,0,2,2,3,1,0,3,0,0,0,1,0,0,0,1,0,0,1,0,1,0,0,
1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
3,3,2,0,0,2,2,1,0,0,1,0,0,3,3,1,3,0,0,1,1,0,2,0,3,0,0,0,2,0,1,1,
0,1,2,0,1,2,2,0,2,2,2,2,1,0,2,1,1,0,2,0,2,1,2,0,0,0,0,0,0,0,0,0,
3,3,3,1,3,2,3,2,0,2,2,2,1,3,2,0,2,1,2,0,1,2,0,0,1,0,2,2,0,0,0,2,
1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,1,0,0,0,
3,3,3,0,3,3,1,1,2,3,1,0,3,2,3,0,3,0,0,0,1,0,0,0,1,0,1,0,0,0,0,0,
1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
0,0,0,3,3,0,3,3,2,3,3,2,2,0,0,0,0,1,2,0,1,3,0,0,0,3,1,1,0,3,0,2,
2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
3,3,3,1,2,2,1,0,3,1,1,1,1,3,3,2,3,0,0,1,0,1,2,0,2,2,0,2,2,0,2,1,
0,2,2,1,1,1,1,0,2,1,1,0,1,1,1,1,2,1,2,1,2,0,1,0,1,0,0,0,0,0,0,0,
3,3,3,0,1,1,3,0,0,1,1,0,0,2,2,0,3,0,0,1,1,0,1,0,0,0,0,0,2,0,0,0,
0,3,1,0,1,0,1,0,2,0,0,1,0,1,0,1,1,1,2,1,1,0,2,0,0,0,0,0,0,0,0,0,
3,3,3,0,2,0,2,0,1,1,1,0,0,3,3,0,2,0,0,1,0,0,2,1,1,0,1,0,1,0,1,0,
0,2,0,1,2,0,2,0,2,1,1,0,1,0,2,1,1,0,2,1,1,0,1,0,0,0,1,1,0,0,0,0,
3,2,3,0,1,0,0,0,0,0,0,0,0,1,2,0,1,0,0,1,0,0,1,0,0,0,0,0,2,0,0,0,
0,0,1,1,0,0,1,0,1,0,0,1,0,0,0,2,1,0,1,0,2,0,0,0,0,0,0,0,0,0,0,0,
3,3,3,0,0,2,3,0,0,1,0,1,0,2,3,2,3,0,0,1,3,0,2,1,0,0,0,0,2,0,1,0,
0,2,1,0,0,1,1,0,2,1,0,0,1,0,0,1,1,0,1,1,2,0,1,0,0,0,0,1,0,0,0,0,
3,2,2,0,0,1,1,0,0,0,0,0,0,3,1,1,1,0,0,0,0,0,1,0,0,0,0,0,2,0,1,0,
0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,
0,0,0,3,3,0,2,3,2,2,1,2,2,1,1,2,0,1,3,2,2,2,0,0,2,2,0,0,0,1,2,1,
3,0,2,1,1,0,1,1,1,0,1,2,2,2,1,1,2,0,0,0,0,1,0,1,1,0,0,0,0,0,0,0,
0,1,1,2,3,0,3,3,3,2,2,2,2,1,0,1,0,1,0,1,2,2,0,0,2,2,1,3,1,1,2,1,
0,0,1,1,2,0,1,1,0,0,1,2,0,2,1,1,2,0,0,1,0,0,0,1,0,1,0,1,0,0,0,0,
3,3,2,0,0,3,1,0,0,0,0,0,0,3,2,1,2,0,0,1,0,0,2,0,0,0,0,0,2,0,1,0,
0,2,1,1,0,0,1,0,1,2,0,0,1,1,0,0,2,1,1,1,1,0,2,0,0,0,0,0,0,0,0,0,
3,3,2,0,0,1,0,0,0,0,1,0,0,3,3,2,2,0,0,1,0,0,2,0,1,0,0,0,2,0,1,0,
0,0,1,1,0,0,2,0,2,1,0,0,1,1,2,1,2,0,2,1,2,1,1,1,0,0,1,1,0,0,0,0,
3,3,2,0,0,2,2,0,0,0,1,1,0,2,2,1,3,1,0,1,0,1,2,0,0,0,0,0,1,0,1,0,
0,1,1,0,0,0,0,0,1,0,0,1,0,0,0,1,1,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,
3,3,3,2,0,0,0,1,0,0,1,0,0,2,3,1,2,0,0,1,0,0,2,0,0,0,1,0,2,0,2,0,
0,1,1,2,2,1,2,0,2,1,1,0,0,1,1,0,1,1,1,1,2,1,1,0,0,0,0,0,0,0,0,0,
3,3,3,0,2,1,2,1,0,0,1,1,0,3,3,1,2,0,0,1,0,0,2,0,2,0,1,1,2,0,0,0,
0,0,1,1,1,1,2,0,1,1,0,1,1,1,1,0,0,0,1,1,1,0,1,0,0,0,1,0,0,0,0,0,
3,3,3,0,2,2,3,2,0,0,1,0,0,2,3,1,0,0,0,0,0,0,2,0,2,0,0,0,2,0,0,0,
0,1,1,0,0,0,1,0,0,1,0,1,1,0,1,0,1,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,
3,2,3,0,0,0,0,0,0,0,1,0,0,2,2,2,2,0,0,1,0,0,2,0,0,0,0,0,2,0,1,0,
0,0,2,1,1,0,1,0,2,1,1,0,0,1,1,2,1,0,2,0,2,0,1,0,0,0,2,0,0,0,0,0,
0,0,0,2,2,0,2,1,1,1,1,2,2,0,0,1,0,1,0,0,1,3,0,0,0,0,1,0,0,2,1,0,
0,0,1,0,1,0,0,0,0,0,2,1,0,1,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,
2,0,0,2,3,0,2,3,1,2,2,0,2,0,0,2,0,2,1,1,1,2,1,0,0,1,2,1,1,2,1,0,
1,0,2,0,1,0,1,1,0,0,2,2,1,2,1,1,2,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,
3,3,3,0,2,1,2,0,0,0,1,0,0,3,2,0,1,0,0,1,0,0,2,0,0,0,1,2,1,0,1,0,
0,0,0,0,1,0,1,0,0,1,0,0,0,0,1,0,1,0,1,1,1,0,1,0,0,0,0,0,0,0,0,0,
0,0,0,2,2,0,2,2,1,1,0,1,1,1,1,1,0,0,1,2,1,1,1,0,1,0,0,0,1,1,1,1,
0,0,2,1,0,1,1,1,0,1,1,2,1,2,1,1,2,0,1,1,2,1,0,2,0,0,0,0,0,0,0,0,
3,2,2,0,0,2,0,0,0,0,0,0,0,2,2,0,2,0,0,1,0,0,2,0,0,0,0,0,2,0,0,0,
0,2,1,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,
0,0,0,3,2,0,2,2,0,1,1,0,1,0,0,1,0,0,0,1,0,1,0,0,0,0,0,1,0,0,0,0,
2,0,1,0,1,0,1,1,0,0,1,2,0,1,0,1,1,0,0,1,0,1,0,2,0,0,0,0,0,0,0,0,
2,2,2,0,1,1,0,0,0,1,0,0,0,1,2,0,1,0,0,1,0,0,1,0,0,0,0,1,2,0,1,0,
0,0,1,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,1,0,2,0,0,0,0,0,0,0,0,0,0,0,
2,2,2,2,1,0,1,1,1,0,0,0,0,1,2,0,0,1,0,0,0,1,0,0,1,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,
1,1,2,0,1,0,0,0,1,0,1,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,2,0,0,0,0,0,1,
0,0,1,2,2,0,2,1,2,1,1,2,2,0,0,0,0,1,0,0,1,1,0,0,2,0,0,0,0,1,0,0,
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,
2,2,2,0,0,0,1,0,0,0,0,0,0,2,2,1,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,
0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
0,0,0,1,1,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
2,2,2,0,1,0,1,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
0,0,1,0,0,0,0,0,0,0,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
)
Latin5TurkishModel = {
'char_to_order_map': Latin5_TurkishCharToOrderMap,
'precedence_matrix': TurkishLangModel,
'typical_positive_ratio': 0.970290,
'keep_english_letter': True,
'charset_name': "ISO-8859-9",
'language': 'Turkish',
}

46
thirdparty/chardet/latin1prober.py vendored
View File

@ -27,8 +27,7 @@
######################### END LICENSE BLOCK #########################
from .charsetprober import CharSetProber
from .constants import eNotMe
from .compat import wrap_ord
from .enums import ProbingState
FREQ_CAT_NUM = 4
@ -96,40 +95,47 @@ Latin1ClassModel = (
class Latin1Prober(CharSetProber):
def __init__(self):
CharSetProber.__init__(self)
super(Latin1Prober, self).__init__()
self._last_char_class = None
self._freq_counter = None
self.reset()
def reset(self):
self._mLastCharClass = OTH
self._mFreqCounter = [0] * FREQ_CAT_NUM
self._last_char_class = OTH
self._freq_counter = [0] * FREQ_CAT_NUM
CharSetProber.reset(self)
def get_charset_name(self):
return "windows-1252"
@property
def charset_name(self):
return "ISO-8859-1"
def feed(self, aBuf):
aBuf = self.filter_with_english_letters(aBuf)
for c in aBuf:
charClass = Latin1_CharToClass[wrap_ord(c)]
freq = Latin1ClassModel[(self._mLastCharClass * CLASS_NUM)
+ charClass]
@property
def language(self):
return ""
def feed(self, byte_str):
byte_str = self.filter_with_english_letters(byte_str)
for c in byte_str:
char_class = Latin1_CharToClass[c]
freq = Latin1ClassModel[(self._last_char_class * CLASS_NUM)
+ char_class]
if freq == 0:
self._mState = eNotMe
self._state = ProbingState.NOT_ME
break
self._mFreqCounter[freq] += 1
self._mLastCharClass = charClass
self._freq_counter[freq] += 1
self._last_char_class = char_class
return self.get_state()
return self.state
def get_confidence(self):
if self.get_state() == eNotMe:
if self.state == ProbingState.NOT_ME:
return 0.01
total = sum(self._mFreqCounter)
total = sum(self._freq_counter)
if total < 0.01:
confidence = 0.0
else:
confidence = ((self._mFreqCounter[3] - self._mFreqCounter[1] * 20.0)
confidence = ((self._freq_counter[3] - self._freq_counter[1] * 20.0)
/ total)
if confidence < 0.0:
confidence = 0.0

87
thirdparty/chardet/mbcharsetprober.py vendored
View File

@ -27,62 +27,65 @@
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
import sys
from . import constants
from .charsetprober import CharSetProber
from .enums import ProbingState, MachineState
if sys.version_info >= (3, 0):
xrange = range
class MultiByteCharSetProber(CharSetProber):
def __init__(self):
CharSetProber.__init__(self)
self._mDistributionAnalyzer = None
self._mCodingSM = None
self._mLastChar = [0, 0]
"""
MultiByteCharSetProber
"""
def __init__(self, lang_filter=None):
super(MultiByteCharSetProber, self).__init__(lang_filter=lang_filter)
self.distribution_analyzer = None
self.coding_sm = None
self._last_char = [0, 0]
def reset(self):
CharSetProber.reset(self)
if self._mCodingSM:
self._mCodingSM.reset()
if self._mDistributionAnalyzer:
self._mDistributionAnalyzer.reset()
self._mLastChar = [0, 0]
super(MultiByteCharSetProber, self).reset()
if self.coding_sm:
self.coding_sm.reset()
if self.distribution_analyzer:
self.distribution_analyzer.reset()
self._last_char = [0, 0]
def get_charset_name(self):
pass
@property
def charset_name(self):
raise NotImplementedError
def feed(self, aBuf):
aLen = len(aBuf)
for i in xrange(0, aLen):
codingState = self._mCodingSM.next_state(aBuf[i])
if codingState == constants.eError:
if constants._debug:
sys.stderr.write(self.get_charset_name()
+ ' prober hit error at byte ' + str(i)
+ '\n')
self._mState = constants.eNotMe
@property
def language(self):
raise NotImplementedError
def feed(self, byte_str):
for i in range(len(byte_str)):
coding_state = self.coding_sm.next_state(byte_str[i])
if coding_state == MachineState.ERROR:
self.logger.debug('%s %s prober hit error at byte %s',
self.charset_name, self.language, i)
self._state = ProbingState.NOT_ME
break
elif codingState == constants.eItsMe:
self._mState = constants.eFoundIt
elif coding_state == MachineState.ITS_ME:
self._state = ProbingState.FOUND_IT
break
elif codingState == constants.eStart:
charLen = self._mCodingSM.get_current_charlen()
elif coding_state == MachineState.START:
char_len = self.coding_sm.get_current_charlen()
if i == 0:
self._mLastChar[1] = aBuf[0]
self._mDistributionAnalyzer.feed(self._mLastChar, charLen)
self._last_char[1] = byte_str[0]
self.distribution_analyzer.feed(self._last_char, char_len)
else:
self._mDistributionAnalyzer.feed(aBuf[i - 1:i + 1],
charLen)
self.distribution_analyzer.feed(byte_str[i - 1:i + 1],
char_len)
self._mLastChar[0] = aBuf[aLen - 1]
self._last_char[0] = byte_str[-1]
if self.get_state() == constants.eDetecting:
if (self._mDistributionAnalyzer.got_enough_data() and
(self.get_confidence() > constants.SHORTCUT_THRESHOLD)):
self._mState = constants.eFoundIt
if self.state == ProbingState.DETECTING:
if (self.distribution_analyzer.got_enough_data() and
(self.get_confidence() > self.SHORTCUT_THRESHOLD)):
self._state = ProbingState.FOUND_IT
return self.get_state()
return self.state
def get_confidence(self):
return self._mDistributionAnalyzer.get_confidence()
return self.distribution_analyzer.get_confidence()

6
thirdparty/chardet/mbcsgroupprober.py vendored
View File

@ -39,9 +39,9 @@ from .euctwprober import EUCTWProber
class MBCSGroupProber(CharSetGroupProber):
def __init__(self):
CharSetGroupProber.__init__(self)
self._mProbers = [
def __init__(self, lang_filter=None):
super(MBCSGroupProber, self).__init__(lang_filter=lang_filter)
self.probers = [
UTF8Prober(),
SJISProber(),
EUCJPProber(),

286
thirdparty/chardet/mbcssm.py vendored
View File

@ -25,11 +25,11 @@
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
from .constants import eStart, eError, eItsMe
from .enums import MachineState
# BIG5
BIG5_cls = (
BIG5_CLS = (
1,1,1,1,1,1,1,1, # 00 - 07 #allow 0x00 as legal value
1,1,1,1,1,1,0,0, # 08 - 0f
1,1,1,1,1,1,1,1, # 10 - 17
@ -64,23 +64,23 @@ BIG5_cls = (
3,3,3,3,3,3,3,0 # f8 - ff
)
BIG5_st = (
eError,eStart,eStart, 3,eError,eError,eError,eError,#00-07
eError,eError,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eError,#08-0f
eError,eStart,eStart,eStart,eStart,eStart,eStart,eStart#10-17
BIG5_ST = (
MachineState.ERROR,MachineState.START,MachineState.START, 3,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#00-07
MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ERROR,#08-0f
MachineState.ERROR,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START#10-17
)
Big5CharLenTable = (0, 1, 1, 2, 0)
BIG5_CHAR_LEN_TABLE = (0, 1, 1, 2, 0)
Big5SMModel = {'classTable': BIG5_cls,
'classFactor': 5,
'stateTable': BIG5_st,
'charLenTable': Big5CharLenTable,
BIG5_SM_MODEL = {'class_table': BIG5_CLS,
'class_factor': 5,
'state_table': BIG5_ST,
'char_len_table': BIG5_CHAR_LEN_TABLE,
'name': 'Big5'}
# CP949
CP949_cls = (
CP949_CLS = (
1,1,1,1,1,1,1,1, 1,1,1,1,1,1,0,0, # 00 - 0f
1,1,1,1,1,1,1,1, 1,1,1,0,1,1,1,1, # 10 - 1f
1,1,1,1,1,1,1,1, 1,1,1,1,1,1,1,1, # 20 - 2f
@ -99,28 +99,28 @@ CP949_cls = (
2,2,2,2,2,2,2,2, 2,2,2,2,2,2,2,0, # f0 - ff
)
CP949_st = (
CP949_ST = (
#cls= 0 1 2 3 4 5 6 7 8 9 # previous state =
eError,eStart, 3,eError,eStart,eStart, 4, 5,eError, 6, # eStart
eError,eError,eError,eError,eError,eError,eError,eError,eError,eError, # eError
eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe, # eItsMe
eError,eError,eStart,eStart,eError,eError,eError,eStart,eStart,eStart, # 3
eError,eError,eStart,eStart,eStart,eStart,eStart,eStart,eStart,eStart, # 4
eError,eStart,eStart,eStart,eStart,eStart,eStart,eStart,eStart,eStart, # 5
eError,eStart,eStart,eStart,eStart,eError,eError,eStart,eStart,eStart, # 6
MachineState.ERROR,MachineState.START, 3,MachineState.ERROR,MachineState.START,MachineState.START, 4, 5,MachineState.ERROR, 6, # MachineState.START
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR, # MachineState.ERROR
MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME, # MachineState.ITS_ME
MachineState.ERROR,MachineState.ERROR,MachineState.START,MachineState.START,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.START,MachineState.START,MachineState.START, # 3
MachineState.ERROR,MachineState.ERROR,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START, # 4
MachineState.ERROR,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START, # 5
MachineState.ERROR,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.ERROR,MachineState.ERROR,MachineState.START,MachineState.START,MachineState.START, # 6
)
CP949CharLenTable = (0, 1, 2, 0, 1, 1, 2, 2, 0, 2)
CP949_CHAR_LEN_TABLE = (0, 1, 2, 0, 1, 1, 2, 2, 0, 2)
CP949SMModel = {'classTable': CP949_cls,
'classFactor': 10,
'stateTable': CP949_st,
'charLenTable': CP949CharLenTable,
CP949_SM_MODEL = {'class_table': CP949_CLS,
'class_factor': 10,
'state_table': CP949_ST,
'char_len_table': CP949_CHAR_LEN_TABLE,
'name': 'CP949'}
# EUC-JP
EUCJP_cls = (
EUCJP_CLS = (
4,4,4,4,4,4,4,4, # 00 - 07
4,4,4,4,4,4,5,5, # 08 - 0f
4,4,4,4,4,4,4,4, # 10 - 17
@ -155,25 +155,25 @@ EUCJP_cls = (
0,0,0,0,0,0,0,5 # f8 - ff
)
EUCJP_st = (
3, 4, 3, 5,eStart,eError,eError,eError,#00-07
eError,eError,eError,eError,eItsMe,eItsMe,eItsMe,eItsMe,#08-0f
eItsMe,eItsMe,eStart,eError,eStart,eError,eError,eError,#10-17
eError,eError,eStart,eError,eError,eError, 3,eError,#18-1f
3,eError,eError,eError,eStart,eStart,eStart,eStart#20-27
EUCJP_ST = (
3, 4, 3, 5,MachineState.START,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#00-07
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,#08-0f
MachineState.ITS_ME,MachineState.ITS_ME,MachineState.START,MachineState.ERROR,MachineState.START,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#10-17
MachineState.ERROR,MachineState.ERROR,MachineState.START,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR, 3,MachineState.ERROR,#18-1f
3,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.START,MachineState.START,MachineState.START,MachineState.START#20-27
)
EUCJPCharLenTable = (2, 2, 2, 3, 1, 0)
EUCJP_CHAR_LEN_TABLE = (2, 2, 2, 3, 1, 0)
EUCJPSMModel = {'classTable': EUCJP_cls,
'classFactor': 6,
'stateTable': EUCJP_st,
'charLenTable': EUCJPCharLenTable,
EUCJP_SM_MODEL = {'class_table': EUCJP_CLS,
'class_factor': 6,
'state_table': EUCJP_ST,
'char_len_table': EUCJP_CHAR_LEN_TABLE,
'name': 'EUC-JP'}
# EUC-KR
EUCKR_cls = (
EUCKR_CLS = (
1,1,1,1,1,1,1,1, # 00 - 07
1,1,1,1,1,1,0,0, # 08 - 0f
1,1,1,1,1,1,1,1, # 10 - 17
@ -208,22 +208,22 @@ EUCKR_cls = (
2,2,2,2,2,2,2,0 # f8 - ff
)
EUCKR_st = (
eError,eStart, 3,eError,eError,eError,eError,eError,#00-07
eItsMe,eItsMe,eItsMe,eItsMe,eError,eError,eStart,eStart #08-0f
EUCKR_ST = (
MachineState.ERROR,MachineState.START, 3,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#00-07
MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ERROR,MachineState.ERROR,MachineState.START,MachineState.START #08-0f
)
EUCKRCharLenTable = (0, 1, 2, 0)
EUCKR_CHAR_LEN_TABLE = (0, 1, 2, 0)
EUCKRSMModel = {'classTable': EUCKR_cls,
'classFactor': 4,
'stateTable': EUCKR_st,
'charLenTable': EUCKRCharLenTable,
EUCKR_SM_MODEL = {'class_table': EUCKR_CLS,
'class_factor': 4,
'state_table': EUCKR_ST,
'char_len_table': EUCKR_CHAR_LEN_TABLE,
'name': 'EUC-KR'}
# EUC-TW
EUCTW_cls = (
EUCTW_CLS = (
2,2,2,2,2,2,2,2, # 00 - 07
2,2,2,2,2,2,0,0, # 08 - 0f
2,2,2,2,2,2,2,2, # 10 - 17
@ -258,26 +258,26 @@ EUCTW_cls = (
3,3,3,3,3,3,3,0 # f8 - ff
)
EUCTW_st = (
eError,eError,eStart, 3, 3, 3, 4,eError,#00-07
eError,eError,eError,eError,eError,eError,eItsMe,eItsMe,#08-0f
eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eError,eStart,eError,#10-17
eStart,eStart,eStart,eError,eError,eError,eError,eError,#18-1f
5,eError,eError,eError,eStart,eError,eStart,eStart,#20-27
eStart,eError,eStart,eStart,eStart,eStart,eStart,eStart #28-2f
EUCTW_ST = (
MachineState.ERROR,MachineState.ERROR,MachineState.START, 3, 3, 3, 4,MachineState.ERROR,#00-07
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ITS_ME,#08-0f
MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ERROR,MachineState.START,MachineState.ERROR,#10-17
MachineState.START,MachineState.START,MachineState.START,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#18-1f
5,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.START,MachineState.ERROR,MachineState.START,MachineState.START,#20-27
MachineState.START,MachineState.ERROR,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START #28-2f
)
EUCTWCharLenTable = (0, 0, 1, 2, 2, 2, 3)
EUCTW_CHAR_LEN_TABLE = (0, 0, 1, 2, 2, 2, 3)
EUCTWSMModel = {'classTable': EUCTW_cls,
'classFactor': 7,
'stateTable': EUCTW_st,
'charLenTable': EUCTWCharLenTable,
EUCTW_SM_MODEL = {'class_table': EUCTW_CLS,
'class_factor': 7,
'state_table': EUCTW_ST,
'char_len_table': EUCTW_CHAR_LEN_TABLE,
'name': 'x-euc-tw'}
# GB2312
GB2312_cls = (
GB2312_CLS = (
1,1,1,1,1,1,1,1, # 00 - 07
1,1,1,1,1,1,0,0, # 08 - 0f
1,1,1,1,1,1,1,1, # 10 - 17
@ -312,31 +312,31 @@ GB2312_cls = (
6,6,6,6,6,6,6,0 # f8 - ff
)
GB2312_st = (
eError,eStart,eStart,eStart,eStart,eStart, 3,eError,#00-07
eError,eError,eError,eError,eError,eError,eItsMe,eItsMe,#08-0f
eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eError,eError,eStart,#10-17
4,eError,eStart,eStart,eError,eError,eError,eError,#18-1f
eError,eError, 5,eError,eError,eError,eItsMe,eError,#20-27
eError,eError,eStart,eStart,eStart,eStart,eStart,eStart #28-2f
GB2312_ST = (
MachineState.ERROR,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START, 3,MachineState.ERROR,#00-07
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ITS_ME,#08-0f
MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ERROR,MachineState.ERROR,MachineState.START,#10-17
4,MachineState.ERROR,MachineState.START,MachineState.START,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#18-1f
MachineState.ERROR,MachineState.ERROR, 5,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ERROR,#20-27
MachineState.ERROR,MachineState.ERROR,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START #28-2f
)
# To be accurate, the length of class 6 can be either 2 or 4.
# But it is not necessary to discriminate between the two since
# it is used for frequency analysis only, and we are validing
# it is used for frequency analysis only, and we are validating
# each code range there as well. So it is safe to set it to be
# 2 here.
GB2312CharLenTable = (0, 1, 1, 1, 1, 1, 2)
GB2312_CHAR_LEN_TABLE = (0, 1, 1, 1, 1, 1, 2)
GB2312SMModel = {'classTable': GB2312_cls,
'classFactor': 7,
'stateTable': GB2312_st,
'charLenTable': GB2312CharLenTable,
GB2312_SM_MODEL = {'class_table': GB2312_CLS,
'class_factor': 7,
'state_table': GB2312_ST,
'char_len_table': GB2312_CHAR_LEN_TABLE,
'name': 'GB2312'}
# Shift_JIS
SJIS_cls = (
SJIS_CLS = (
1,1,1,1,1,1,1,1, # 00 - 07
1,1,1,1,1,1,0,0, # 08 - 0f
1,1,1,1,1,1,1,1, # 10 - 17
@ -373,23 +373,23 @@ SJIS_cls = (
3,3,3,3,3,0,0,0) # f8 - ff
SJIS_st = (
eError,eStart,eStart, 3,eError,eError,eError,eError,#00-07
eError,eError,eError,eError,eItsMe,eItsMe,eItsMe,eItsMe,#08-0f
eItsMe,eItsMe,eError,eError,eStart,eStart,eStart,eStart #10-17
SJIS_ST = (
MachineState.ERROR,MachineState.START,MachineState.START, 3,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#00-07
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,#08-0f
MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ERROR,MachineState.ERROR,MachineState.START,MachineState.START,MachineState.START,MachineState.START #10-17
)
SJISCharLenTable = (0, 1, 1, 2, 0, 0)
SJIS_CHAR_LEN_TABLE = (0, 1, 1, 2, 0, 0)
SJISSMModel = {'classTable': SJIS_cls,
'classFactor': 6,
'stateTable': SJIS_st,
'charLenTable': SJISCharLenTable,
SJIS_SM_MODEL = {'class_table': SJIS_CLS,
'class_factor': 6,
'state_table': SJIS_ST,
'char_len_table': SJIS_CHAR_LEN_TABLE,
'name': 'Shift_JIS'}
# UCS2-BE
UCS2BE_cls = (
UCS2BE_CLS = (
0,0,0,0,0,0,0,0, # 00 - 07
0,0,1,0,0,2,0,0, # 08 - 0f
0,0,0,0,0,0,0,0, # 10 - 17
@ -424,27 +424,27 @@ UCS2BE_cls = (
0,0,0,0,0,0,4,5 # f8 - ff
)
UCS2BE_st = (
5, 7, 7,eError, 4, 3,eError,eError,#00-07
eError,eError,eError,eError,eItsMe,eItsMe,eItsMe,eItsMe,#08-0f
eItsMe,eItsMe, 6, 6, 6, 6,eError,eError,#10-17
6, 6, 6, 6, 6,eItsMe, 6, 6,#18-1f
6, 6, 6, 6, 5, 7, 7,eError,#20-27
5, 8, 6, 6,eError, 6, 6, 6,#28-2f
6, 6, 6, 6,eError,eError,eStart,eStart #30-37
UCS2BE_ST = (
5, 7, 7,MachineState.ERROR, 4, 3,MachineState.ERROR,MachineState.ERROR,#00-07
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,#08-0f
MachineState.ITS_ME,MachineState.ITS_ME, 6, 6, 6, 6,MachineState.ERROR,MachineState.ERROR,#10-17
6, 6, 6, 6, 6,MachineState.ITS_ME, 6, 6,#18-1f
6, 6, 6, 6, 5, 7, 7,MachineState.ERROR,#20-27
5, 8, 6, 6,MachineState.ERROR, 6, 6, 6,#28-2f
6, 6, 6, 6,MachineState.ERROR,MachineState.ERROR,MachineState.START,MachineState.START #30-37
)
UCS2BECharLenTable = (2, 2, 2, 0, 2, 2)
UCS2BE_CHAR_LEN_TABLE = (2, 2, 2, 0, 2, 2)
UCS2BESMModel = {'classTable': UCS2BE_cls,
'classFactor': 6,
'stateTable': UCS2BE_st,
'charLenTable': UCS2BECharLenTable,
UCS2BE_SM_MODEL = {'class_table': UCS2BE_CLS,
'class_factor': 6,
'state_table': UCS2BE_ST,
'char_len_table': UCS2BE_CHAR_LEN_TABLE,
'name': 'UTF-16BE'}
# UCS2-LE
UCS2LE_cls = (
UCS2LE_CLS = (
0,0,0,0,0,0,0,0, # 00 - 07
0,0,1,0,0,2,0,0, # 08 - 0f
0,0,0,0,0,0,0,0, # 10 - 17
@ -479,27 +479,27 @@ UCS2LE_cls = (
0,0,0,0,0,0,4,5 # f8 - ff
)
UCS2LE_st = (
6, 6, 7, 6, 4, 3,eError,eError,#00-07
eError,eError,eError,eError,eItsMe,eItsMe,eItsMe,eItsMe,#08-0f
eItsMe,eItsMe, 5, 5, 5,eError,eItsMe,eError,#10-17
5, 5, 5,eError, 5,eError, 6, 6,#18-1f
7, 6, 8, 8, 5, 5, 5,eError,#20-27
5, 5, 5,eError,eError,eError, 5, 5,#28-2f
5, 5, 5,eError, 5,eError,eStart,eStart #30-37
UCS2LE_ST = (
6, 6, 7, 6, 4, 3,MachineState.ERROR,MachineState.ERROR,#00-07
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,#08-0f
MachineState.ITS_ME,MachineState.ITS_ME, 5, 5, 5,MachineState.ERROR,MachineState.ITS_ME,MachineState.ERROR,#10-17
5, 5, 5,MachineState.ERROR, 5,MachineState.ERROR, 6, 6,#18-1f
7, 6, 8, 8, 5, 5, 5,MachineState.ERROR,#20-27
5, 5, 5,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR, 5, 5,#28-2f
5, 5, 5,MachineState.ERROR, 5,MachineState.ERROR,MachineState.START,MachineState.START #30-37
)
UCS2LECharLenTable = (2, 2, 2, 2, 2, 2)
UCS2LE_CHAR_LEN_TABLE = (2, 2, 2, 2, 2, 2)
UCS2LESMModel = {'classTable': UCS2LE_cls,
'classFactor': 6,
'stateTable': UCS2LE_st,
'charLenTable': UCS2LECharLenTable,
UCS2LE_SM_MODEL = {'class_table': UCS2LE_CLS,
'class_factor': 6,
'state_table': UCS2LE_ST,
'char_len_table': UCS2LE_CHAR_LEN_TABLE,
'name': 'UTF-16LE'}
# UTF-8
UTF8_cls = (
UTF8_CLS = (
1,1,1,1,1,1,1,1, # 00 - 07 #allow 0x00 as a legal value
1,1,1,1,1,1,0,0, # 08 - 0f
1,1,1,1,1,1,1,1, # 10 - 17
@ -534,39 +534,39 @@ UTF8_cls = (
12,13,13,13,14,15,0,0 # f8 - ff
)
UTF8_st = (
eError,eStart,eError,eError,eError,eError, 12, 10,#00-07
UTF8_ST = (
MachineState.ERROR,MachineState.START,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR, 12, 10,#00-07
9, 11, 8, 7, 6, 5, 4, 3,#08-0f
eError,eError,eError,eError,eError,eError,eError,eError,#10-17
eError,eError,eError,eError,eError,eError,eError,eError,#18-1f
eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,#20-27
eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,#28-2f
eError,eError, 5, 5, 5, 5,eError,eError,#30-37
eError,eError,eError,eError,eError,eError,eError,eError,#38-3f
eError,eError,eError, 5, 5, 5,eError,eError,#40-47
eError,eError,eError,eError,eError,eError,eError,eError,#48-4f
eError,eError, 7, 7, 7, 7,eError,eError,#50-57
eError,eError,eError,eError,eError,eError,eError,eError,#58-5f
eError,eError,eError,eError, 7, 7,eError,eError,#60-67
eError,eError,eError,eError,eError,eError,eError,eError,#68-6f
eError,eError, 9, 9, 9, 9,eError,eError,#70-77
eError,eError,eError,eError,eError,eError,eError,eError,#78-7f
eError,eError,eError,eError,eError, 9,eError,eError,#80-87
eError,eError,eError,eError,eError,eError,eError,eError,#88-8f
eError,eError, 12, 12, 12, 12,eError,eError,#90-97
eError,eError,eError,eError,eError,eError,eError,eError,#98-9f
eError,eError,eError,eError,eError, 12,eError,eError,#a0-a7
eError,eError,eError,eError,eError,eError,eError,eError,#a8-af
eError,eError, 12, 12, 12,eError,eError,eError,#b0-b7
eError,eError,eError,eError,eError,eError,eError,eError,#b8-bf
eError,eError,eStart,eStart,eStart,eStart,eError,eError,#c0-c7
eError,eError,eError,eError,eError,eError,eError,eError #c8-cf
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#10-17
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#18-1f
MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,#20-27
MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,#28-2f
MachineState.ERROR,MachineState.ERROR, 5, 5, 5, 5,MachineState.ERROR,MachineState.ERROR,#30-37
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#38-3f
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR, 5, 5, 5,MachineState.ERROR,MachineState.ERROR,#40-47
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#48-4f
MachineState.ERROR,MachineState.ERROR, 7, 7, 7, 7,MachineState.ERROR,MachineState.ERROR,#50-57
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#58-5f
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR, 7, 7,MachineState.ERROR,MachineState.ERROR,#60-67
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#68-6f
MachineState.ERROR,MachineState.ERROR, 9, 9, 9, 9,MachineState.ERROR,MachineState.ERROR,#70-77
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#78-7f
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR, 9,MachineState.ERROR,MachineState.ERROR,#80-87
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#88-8f
MachineState.ERROR,MachineState.ERROR, 12, 12, 12, 12,MachineState.ERROR,MachineState.ERROR,#90-97
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#98-9f
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR, 12,MachineState.ERROR,MachineState.ERROR,#a0-a7
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#a8-af
MachineState.ERROR,MachineState.ERROR, 12, 12, 12,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#b0-b7
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#b8-bf
MachineState.ERROR,MachineState.ERROR,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.ERROR,MachineState.ERROR,#c0-c7
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR #c8-cf
)
UTF8CharLenTable = (0, 1, 0, 0, 0, 0, 2, 3, 3, 3, 4, 4, 5, 5, 6, 6)
UTF8_CHAR_LEN_TABLE = (0, 1, 0, 0, 0, 0, 2, 3, 3, 3, 4, 4, 5, 5, 6, 6)
UTF8SMModel = {'classTable': UTF8_cls,
'classFactor': 16,
'stateTable': UTF8_st,
'charLenTable': UTF8CharLenTable,
UTF8_SM_MODEL = {'class_table': UTF8_CLS,
'class_factor': 16,
'state_table': UTF8_ST,
'char_len_table': UTF8_CHAR_LEN_TABLE,
'name': 'UTF-8'}

150
thirdparty/chardet/sbcharsetprober.py vendored
View File

@ -26,95 +26,107 @@
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
import sys
from . import constants
from .charsetprober import CharSetProber
from .compat import wrap_ord
SAMPLE_SIZE = 64
SB_ENOUGH_REL_THRESHOLD = 1024
POSITIVE_SHORTCUT_THRESHOLD = 0.95
NEGATIVE_SHORTCUT_THRESHOLD = 0.05
SYMBOL_CAT_ORDER = 250
NUMBER_OF_SEQ_CAT = 4
POSITIVE_CAT = NUMBER_OF_SEQ_CAT - 1
#NEGATIVE_CAT = 0
from .enums import CharacterCategory, ProbingState, SequenceLikelihood
class SingleByteCharSetProber(CharSetProber):
def __init__(self, model, reversed=False, nameProber=None):
CharSetProber.__init__(self)
self._mModel = model
SAMPLE_SIZE = 64
SB_ENOUGH_REL_THRESHOLD = 1024 # 0.25 * SAMPLE_SIZE^2
POSITIVE_SHORTCUT_THRESHOLD = 0.95
NEGATIVE_SHORTCUT_THRESHOLD = 0.05
def __init__(self, model, reversed=False, name_prober=None):
super(SingleByteCharSetProber, self).__init__()
self._model = model
# TRUE if we need to reverse every pair in the model lookup
self._mReversed = reversed
self._reversed = reversed
# Optional auxiliary prober for name decision
self._mNameProber = nameProber
self._name_prober = name_prober
self._last_order = None
self._seq_counters = None
self._total_seqs = None
self._total_char = None
self._freq_char = None
self.reset()
def reset(self):
CharSetProber.reset(self)
super(SingleByteCharSetProber, self).reset()
# char order of last character
self._mLastOrder = 255
self._mSeqCounters = [0] * NUMBER_OF_SEQ_CAT
self._mTotalSeqs = 0
self._mTotalChar = 0
self._last_order = 255
self._seq_counters = [0] * SequenceLikelihood.get_num_categories()
self._total_seqs = 0
self._total_char = 0
# characters that fall in our sampling range
self._mFreqChar = 0
self._freq_char = 0
def get_charset_name(self):
if self._mNameProber:
return self._mNameProber.get_charset_name()
@property
def charset_name(self):
if self._name_prober:
return self._name_prober.charset_name
else:
return self._mModel['charsetName']
return self._model['charset_name']
def feed(self, aBuf):
if not self._mModel['keepEnglishLetter']:
aBuf = self.filter_without_english_letters(aBuf)
aLen = len(aBuf)
if not aLen:
return self.get_state()
for c in aBuf:
order = self._mModel['charToOrderMap'][wrap_ord(c)]
if order < SYMBOL_CAT_ORDER:
self._mTotalChar += 1
if order < SAMPLE_SIZE:
self._mFreqChar += 1
if self._mLastOrder < SAMPLE_SIZE:
self._mTotalSeqs += 1
if not self._mReversed:
i = (self._mLastOrder * SAMPLE_SIZE) + order
model = self._mModel['precedenceMatrix'][i]
@property
def language(self):
if self._name_prober:
return self._name_prober.language
else:
return self._model.get('language')
def feed(self, byte_str):
if not self._model['keep_english_letter']:
byte_str = self.filter_international_words(byte_str)
if not byte_str:
return self.state
char_to_order_map = self._model['char_to_order_map']
for i, c in enumerate(byte_str):
# XXX: Order is in range 1-64, so one would think we want 0-63 here,
# but that leads to 27 more test failures than before.
order = char_to_order_map[c]
# XXX: This was SYMBOL_CAT_ORDER before, with a value of 250, but
# CharacterCategory.SYMBOL is actually 253, so we use CONTROL
# to make it closer to the original intent. The only difference
# is whether or not we count digits and control characters for
# _total_char purposes.
if order < CharacterCategory.CONTROL:
self._total_char += 1
if order < self.SAMPLE_SIZE:
self._freq_char += 1
if self._last_order < self.SAMPLE_SIZE:
self._total_seqs += 1
if not self._reversed:
i = (self._last_order * self.SAMPLE_SIZE) + order
model = self._model['precedence_matrix'][i]
else: # reverse the order of the letters in the lookup
i = (order * SAMPLE_SIZE) + self._mLastOrder
model = self._mModel['precedenceMatrix'][i]
self._mSeqCounters[model] += 1
self._mLastOrder = order
i = (order * self.SAMPLE_SIZE) + self._last_order
model = self._model['precedence_matrix'][i]
self._seq_counters[model] += 1
self._last_order = order
if self.get_state() == constants.eDetecting:
if self._mTotalSeqs > SB_ENOUGH_REL_THRESHOLD:
cf = self.get_confidence()
if cf > POSITIVE_SHORTCUT_THRESHOLD:
if constants._debug:
sys.stderr.write('%s confidence = %s, we have a'
'winner\n' %
(self._mModel['charsetName'], cf))
self._mState = constants.eFoundIt
elif cf < NEGATIVE_SHORTCUT_THRESHOLD:
if constants._debug:
sys.stderr.write('%s confidence = %s, below negative'
'shortcut threshhold %s\n' %
(self._mModel['charsetName'], cf,
NEGATIVE_SHORTCUT_THRESHOLD))
self._mState = constants.eNotMe
charset_name = self._model['charset_name']
if self.state == ProbingState.DETECTING:
if self._total_seqs > self.SB_ENOUGH_REL_THRESHOLD:
confidence = self.get_confidence()
if confidence > self.POSITIVE_SHORTCUT_THRESHOLD:
self.logger.debug('%s confidence = %s, we have a winner',
charset_name, confidence)
self._state = ProbingState.FOUND_IT
elif confidence < self.NEGATIVE_SHORTCUT_THRESHOLD:
self.logger.debug('%s confidence = %s, below negative '
'shortcut threshhold %s', charset_name,
confidence,
self.NEGATIVE_SHORTCUT_THRESHOLD)
self._state = ProbingState.NOT_ME
return self.get_state()
return self.state
def get_confidence(self):
r = 0.01
if self._mTotalSeqs > 0:
r = ((1.0 * self._mSeqCounters[POSITIVE_CAT]) / self._mTotalSeqs
/ self._mModel['mTypicalPositiveRatio'])
r = r * self._mFreqChar / self._mTotalChar
if self._total_seqs > 0:
r = ((1.0 * self._seq_counters[SequenceLikelihood.POSITIVE]) /
self._total_seqs / self._model['typical_positive_ratio'])
r = r * self._freq_char / self._total_char
if r >= 1.0:
r = 0.99
return r

30
thirdparty/chardet/sbcsgroupprober.py vendored
View File

@ -33,16 +33,17 @@ from .langcyrillicmodel import (Win1251CyrillicModel, Koi8rModel,
Ibm866Model, Ibm855Model)
from .langgreekmodel import Latin7GreekModel, Win1253GreekModel
from .langbulgarianmodel import Latin5BulgarianModel, Win1251BulgarianModel
from .langhungarianmodel import Latin2HungarianModel, Win1250HungarianModel
# from .langhungarianmodel import Latin2HungarianModel, Win1250HungarianModel
from .langthaimodel import TIS620ThaiModel
from .langhebrewmodel import Win1255HebrewModel
from .hebrewprober import HebrewProber
from .langturkishmodel import Latin5TurkishModel
class SBCSGroupProber(CharSetGroupProber):
def __init__(self):
CharSetGroupProber.__init__(self)
self._mProbers = [
super(SBCSGroupProber, self).__init__()
self.probers = [
SingleByteCharSetProber(Win1251CyrillicModel),
SingleByteCharSetProber(Koi8rModel),
SingleByteCharSetProber(Latin5CyrillicModel),
@ -53,17 +54,20 @@ class SBCSGroupProber(CharSetGroupProber):
SingleByteCharSetProber(Win1253GreekModel),
SingleByteCharSetProber(Latin5BulgarianModel),
SingleByteCharSetProber(Win1251BulgarianModel),
SingleByteCharSetProber(Latin2HungarianModel),
SingleByteCharSetProber(Win1250HungarianModel),
# TODO: Restore Hungarian encodings (iso-8859-2 and windows-1250)
# after we retrain model.
# SingleByteCharSetProber(Latin2HungarianModel),
# SingleByteCharSetProber(Win1250HungarianModel),
SingleByteCharSetProber(TIS620ThaiModel),
SingleByteCharSetProber(Latin5TurkishModel),
]
hebrewProber = HebrewProber()
logicalHebrewProber = SingleByteCharSetProber(Win1255HebrewModel,
False, hebrewProber)
visualHebrewProber = SingleByteCharSetProber(Win1255HebrewModel, True,
hebrewProber)
hebrewProber.set_model_probers(logicalHebrewProber, visualHebrewProber)
self._mProbers.extend([hebrewProber, logicalHebrewProber,
visualHebrewProber])
hebrew_prober = HebrewProber()
logical_hebrew_prober = SingleByteCharSetProber(Win1255HebrewModel,
False, hebrew_prober)
visual_hebrew_prober = SingleByteCharSetProber(Win1255HebrewModel, True,
hebrew_prober)
hebrew_prober.set_model_probers(logical_hebrew_prober, visual_hebrew_prober)
self.probers.extend([hebrew_prober, logical_hebrew_prober,
visual_hebrew_prober])
self.reset()

87
thirdparty/chardet/sjisprober.py vendored
View File

@ -25,69 +25,68 @@
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
import sys
from .mbcharsetprober import MultiByteCharSetProber
from .codingstatemachine import CodingStateMachine
from .chardistribution import SJISDistributionAnalysis
from .jpcntx import SJISContextAnalysis
from .mbcssm import SJISSMModel
from . import constants
from .mbcssm import SJIS_SM_MODEL
from .enums import ProbingState, MachineState
if sys.version_info >= (3, 0):
xrange = range
class SJISProber(MultiByteCharSetProber):
def __init__(self):
MultiByteCharSetProber.__init__(self)
self._mCodingSM = CodingStateMachine(SJISSMModel)
self._mDistributionAnalyzer = SJISDistributionAnalysis()
self._mContextAnalyzer = SJISContextAnalysis()
super(SJISProber, self).__init__()
self.coding_sm = CodingStateMachine(SJIS_SM_MODEL)
self.distribution_analyzer = SJISDistributionAnalysis()
self.context_analyzer = SJISContextAnalysis()
self.reset()
def reset(self):
MultiByteCharSetProber.reset(self)
self._mContextAnalyzer.reset()
super(SJISProber, self).reset()
self.context_analyzer.reset()
def get_charset_name(self):
return self._mContextAnalyzer.get_charset_name()
@property
def charset_name(self):
return self.context_analyzer.charset_name
def feed(self, aBuf):
aLen = len(aBuf)
for i in xrange(0, aLen):
codingState = self._mCodingSM.next_state(aBuf[i])
if codingState == constants.eError:
if constants._debug:
sys.stderr.write(self.get_charset_name()
+ ' prober hit error at byte ' + str(i)
+ '\n')
self._mState = constants.eNotMe
@property
def language(self):
return "Japanese"
def feed(self, byte_str):
for i in range(len(byte_str)):
coding_state = self.coding_sm.next_state(byte_str[i])
if coding_state == MachineState.ERROR:
self.logger.debug('%s %s prober hit error at byte %s',
self.charset_name, self.language, i)
self._state = ProbingState.NOT_ME
break
elif codingState == constants.eItsMe:
self._mState = constants.eFoundIt
elif coding_state == MachineState.ITS_ME:
self._state = ProbingState.FOUND_IT
break
elif codingState == constants.eStart:
charLen = self._mCodingSM.get_current_charlen()
elif coding_state == MachineState.START:
char_len = self.coding_sm.get_current_charlen()
if i == 0:
self._mLastChar[1] = aBuf[0]
self._mContextAnalyzer.feed(self._mLastChar[2 - charLen:],
charLen)
self._mDistributionAnalyzer.feed(self._mLastChar, charLen)
self._last_char[1] = byte_str[0]
self.context_analyzer.feed(self._last_char[2 - char_len:],
char_len)
self.distribution_analyzer.feed(self._last_char, char_len)
else:
self._mContextAnalyzer.feed(aBuf[i + 1 - charLen:i + 3
- charLen], charLen)
self._mDistributionAnalyzer.feed(aBuf[i - 1:i + 1],
charLen)
self.context_analyzer.feed(byte_str[i + 1 - char_len:i + 3
- char_len], char_len)
self.distribution_analyzer.feed(byte_str[i - 1:i + 1],
char_len)
self._mLastChar[0] = aBuf[aLen - 1]
self._last_char[0] = byte_str[-1]
if self.get_state() == constants.eDetecting:
if (self._mContextAnalyzer.got_enough_data() and
(self.get_confidence() > constants.SHORTCUT_THRESHOLD)):
self._mState = constants.eFoundIt
if self.state == ProbingState.DETECTING:
if (self.context_analyzer.got_enough_data() and
(self.get_confidence() > self.SHORTCUT_THRESHOLD)):
self._state = ProbingState.FOUND_IT
return self.get_state()
return self.state
def get_confidence(self):
contxtCf = self._mContextAnalyzer.get_confidence()
distribCf = self._mDistributionAnalyzer.get_confidence()
return max(contxtCf, distribCf)
context_conf = self.context_analyzer.get_confidence()
distrib_conf = self.distribution_analyzer.get_confidence()
return max(context_conf, distrib_conf)

314
thirdparty/chardet/universaldetector.py vendored
View File

@ -25,146 +25,262 @@
# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
"""
Module containing the UniversalDetector detector class, which is the primary
class a user of ``chardet`` should use.
:author: Mark Pilgrim (initial port to Python)
:author: Shy Shalom (original C code)
:author: Dan Blanchard (major refactoring for 3.0)
:author: Ian Cordasco
"""
from . import constants
import sys
import codecs
from .latin1prober import Latin1Prober # windows-1252
from .mbcsgroupprober import MBCSGroupProber # multi-byte character sets
from .sbcsgroupprober import SBCSGroupProber # single-byte character sets
from .escprober import EscCharSetProber # ISO-2122, etc.
import logging
import re
from .charsetgroupprober import CharSetGroupProber
from .enums import InputState, LanguageFilter, ProbingState
from .escprober import EscCharSetProber
from .latin1prober import Latin1Prober
from .mbcsgroupprober import MBCSGroupProber
from .sbcsgroupprober import SBCSGroupProber
class UniversalDetector(object):
"""
The ``UniversalDetector`` class underlies the ``chardet.detect`` function
and coordinates all of the different charset probers.
To get a ``dict`` containing an encoding and its confidence, you can simply
run:
.. code::
u = UniversalDetector()
u.feed(some_bytes)
u.close()
detected = u.result
"""
MINIMUM_THRESHOLD = 0.20
ePureAscii = 0
eEscAscii = 1
eHighbyte = 2
HIGH_BYTE_DETECTOR = re.compile(b'[\x80-\xFF]')
ESC_DETECTOR = re.compile(b'(\033|~{)')
WIN_BYTE_DETECTOR = re.compile(b'[\x80-\x9F]')
ISO_WIN_MAP = {'iso-8859-1': 'Windows-1252',
'iso-8859-2': 'Windows-1250',
'iso-8859-5': 'Windows-1251',
'iso-8859-6': 'Windows-1256',
'iso-8859-7': 'Windows-1253',
'iso-8859-8': 'Windows-1255',
'iso-8859-9': 'Windows-1254',
'iso-8859-13': 'Windows-1257'}
class UniversalDetector:
def __init__(self):
self._highBitDetector = re.compile(b'[\x80-\xFF]')
self._escDetector = re.compile(b'(\033|~{)')
self._mEscCharSetProber = None
self._mCharSetProbers = []
def __init__(self, lang_filter=LanguageFilter.ALL):
self._esc_charset_prober = None
self._charset_probers = []
self.result = None
self.done = None
self._got_data = None
self._input_state = None
self._last_char = None
self.lang_filter = lang_filter
self.logger = logging.getLogger(__name__)
self._has_win_bytes = None
self.reset()
def reset(self):
self.result = {'encoding': None, 'confidence': 0.0}
"""
Reset the UniversalDetector and all of its probers back to their
initial states. This is called by ``__init__``, so you only need to
call this directly in between analyses of different documents.
"""
self.result = {'encoding': None, 'confidence': 0.0, 'language': None}
self.done = False
self._mStart = True
self._mGotData = False
self._mInputState = ePureAscii
self._mLastChar = b''
if self._mEscCharSetProber:
self._mEscCharSetProber.reset()
for prober in self._mCharSetProbers:
self._got_data = False
self._has_win_bytes = False
self._input_state = InputState.PURE_ASCII
self._last_char = b''
if self._esc_charset_prober:
self._esc_charset_prober.reset()
for prober in self._charset_probers:
prober.reset()
def feed(self, aBuf):
def feed(self, byte_str):
"""
Takes a chunk of a document and feeds it through all of the relevant
charset probers.
After calling ``feed``, you can check the value of the ``done``
attribute to see if you need to continue feeding the
``UniversalDetector`` more data, or if it has made a prediction
(in the ``result`` attribute).
.. note::
You should always call ``close`` when you're done feeding in your
document if ``done`` is not already ``True``.
"""
if self.done:
return
aLen = len(aBuf)
if not aLen:
if not len(byte_str):
return
if not self._mGotData:
if not isinstance(byte_str, bytearray):
byte_str = bytearray(byte_str)
# First check for known BOMs, since these are guaranteed to be correct
if not self._got_data:
# If the data starts with BOM, we know it is UTF
if aBuf[:3] == codecs.BOM_UTF8:
if byte_str.startswith(codecs.BOM_UTF8):
# EF BB BF UTF-8 with BOM
self.result = {'encoding': "UTF-8-SIG", 'confidence': 1.0}
elif aBuf[:4] == codecs.BOM_UTF32_LE:
self.result = {'encoding': "UTF-8-SIG",
'confidence': 1.0,
'language': ''}
elif byte_str.startswith((codecs.BOM_UTF32_LE,
codecs.BOM_UTF32_BE)):
# FF FE 00 00 UTF-32, little-endian BOM
self.result = {'encoding': "UTF-32LE", 'confidence': 1.0}
elif aBuf[:4] == codecs.BOM_UTF32_BE:
# 00 00 FE FF UTF-32, big-endian BOM
self.result = {'encoding': "UTF-32BE", 'confidence': 1.0}
elif aBuf[:4] == b'\xFE\xFF\x00\x00':
self.result = {'encoding': "UTF-32",
'confidence': 1.0,
'language': ''}
elif byte_str.startswith(b'\xFE\xFF\x00\x00'):
# FE FF 00 00 UCS-4, unusual octet order BOM (3412)
self.result = {
'encoding': "X-ISO-10646-UCS-4-3412",
'confidence': 1.0
}
elif aBuf[:4] == b'\x00\x00\xFF\xFE':
self.result = {'encoding': "X-ISO-10646-UCS-4-3412",
'confidence': 1.0,
'language': ''}
elif byte_str.startswith(b'\x00\x00\xFF\xFE'):
# 00 00 FF FE UCS-4, unusual octet order BOM (2143)
self.result = {
'encoding': "X-ISO-10646-UCS-4-2143",
'confidence': 1.0
}
elif aBuf[:2] == codecs.BOM_LE:
self.result = {'encoding': "X-ISO-10646-UCS-4-2143",
'confidence': 1.0,
'language': ''}
elif byte_str.startswith((codecs.BOM_LE, codecs.BOM_BE)):
# FF FE UTF-16, little endian BOM
self.result = {'encoding': "UTF-16LE", 'confidence': 1.0}
elif aBuf[:2] == codecs.BOM_BE:
# FE FF UTF-16, big endian BOM
self.result = {'encoding': "UTF-16BE", 'confidence': 1.0}
self.result = {'encoding': "UTF-16",
'confidence': 1.0,
'language': ''}
self._mGotData = True
if self.result['encoding'] and (self.result['confidence'] > 0.0):
self._got_data = True
if self.result['encoding'] is not None:
self.done = True
return
if self._mInputState == ePureAscii:
if self._highBitDetector.search(aBuf):
self._mInputState = eHighbyte
elif ((self._mInputState == ePureAscii) and
self._escDetector.search(self._mLastChar + aBuf)):
self._mInputState = eEscAscii
# If none of those matched and we've only see ASCII so far, check
# for high bytes and escape sequences
if self._input_state == InputState.PURE_ASCII:
if self.HIGH_BYTE_DETECTOR.search(byte_str):
self._input_state = InputState.HIGH_BYTE
elif self._input_state == InputState.PURE_ASCII and \
self.ESC_DETECTOR.search(self._last_char + byte_str):
self._input_state = InputState.ESC_ASCII
self._mLastChar = aBuf[-1:]
self._last_char = byte_str[-1:]
if self._mInputState == eEscAscii:
if not self._mEscCharSetProber:
self._mEscCharSetProber = EscCharSetProber()
if self._mEscCharSetProber.feed(aBuf) == constants.eFoundIt:
self.result = {'encoding': self._mEscCharSetProber.get_charset_name(),
'confidence': self._mEscCharSetProber.get_confidence()}
# If we've seen escape sequences, use the EscCharSetProber, which
# uses a simple state machine to check for known escape sequences in
# HZ and ISO-2022 encodings, since those are the only encodings that
# use such sequences.
if self._input_state == InputState.ESC_ASCII:
if not self._esc_charset_prober:
self._esc_charset_prober = EscCharSetProber(self.lang_filter)
if self._esc_charset_prober.feed(byte_str) == ProbingState.FOUND_IT:
self.result = {'encoding':
self._esc_charset_prober.charset_name,
'confidence':
self._esc_charset_prober.get_confidence(),
'language':
self._esc_charset_prober.language}
self.done = True
elif self._mInputState == eHighbyte:
if not self._mCharSetProbers:
self._mCharSetProbers = [MBCSGroupProber(), SBCSGroupProber(),
Latin1Prober()]
for prober in self._mCharSetProbers:
if prober.feed(aBuf) == constants.eFoundIt:
self.result = {'encoding': prober.get_charset_name(),
'confidence': prober.get_confidence()}
# If we've seen high bytes (i.e., those with values greater than 127),
# we need to do more complicated checks using all our multi-byte and
# single-byte probers that are left. The single-byte probers
# use character bigram distributions to determine the encoding, whereas
# the multi-byte probers use a combination of character unigram and
# bigram distributions.
elif self._input_state == InputState.HIGH_BYTE:
if not self._charset_probers:
self._charset_probers = [MBCSGroupProber(self.lang_filter)]
# If we're checking non-CJK encodings, use single-byte prober
if self.lang_filter & LanguageFilter.NON_CJK:
self._charset_probers.append(SBCSGroupProber())
self._charset_probers.append(Latin1Prober())
for prober in self._charset_probers:
if prober.feed(byte_str) == ProbingState.FOUND_IT:
self.result = {'encoding': prober.charset_name,
'confidence': prober.get_confidence(),
'language': prober.language}
self.done = True
break
if self.WIN_BYTE_DETECTOR.search(byte_str):
self._has_win_bytes = True
def close(self):
"""
Stop analyzing the current document and come up with a final
prediction.
:returns: The ``result`` attribute, a ``dict`` with the keys
`encoding`, `confidence`, and `language`.
"""
# Don't bother with checks if we're already done
if self.done:
return
if not self._mGotData:
if constants._debug:
sys.stderr.write('no data received!\n')
return
return self.result
self.done = True
if self._mInputState == ePureAscii:
self.result = {'encoding': 'ascii', 'confidence': 1.0}
return self.result
if not self._got_data:
self.logger.debug('no data received!')
if self._mInputState == eHighbyte:
proberConfidence = None
maxProberConfidence = 0.0
maxProber = None
for prober in self._mCharSetProbers:
# Default to ASCII if it is all we've seen so far
elif self._input_state == InputState.PURE_ASCII:
self.result = {'encoding': 'ascii',
'confidence': 1.0,
'language': ''}
# If we have seen non-ASCII, return the best that met MINIMUM_THRESHOLD
elif self._input_state == InputState.HIGH_BYTE:
prober_confidence = None
max_prober_confidence = 0.0
max_prober = None
for prober in self._charset_probers:
if not prober:
continue
proberConfidence = prober.get_confidence()
if proberConfidence > maxProberConfidence:
maxProberConfidence = proberConfidence
maxProber = prober
if maxProber and (maxProberConfidence > MINIMUM_THRESHOLD):
self.result = {'encoding': maxProber.get_charset_name(),
'confidence': maxProber.get_confidence()}
return self.result
prober_confidence = prober.get_confidence()
if prober_confidence > max_prober_confidence:
max_prober_confidence = prober_confidence
max_prober = prober
if max_prober and (max_prober_confidence > self.MINIMUM_THRESHOLD):
charset_name = max_prober.charset_name
lower_charset_name = max_prober.charset_name.lower()
confidence = max_prober.get_confidence()
# Use Windows encoding name instead of ISO-8859 if we saw any
# extra Windows-specific bytes
if lower_charset_name.startswith('iso-8859'):
if self._has_win_bytes:
charset_name = self.ISO_WIN_MAP.get(lower_charset_name,
charset_name)
self.result = {'encoding': charset_name,
'confidence': confidence,
'language': max_prober.language}
if constants._debug:
sys.stderr.write('no probers hit minimum threshhold\n')
for prober in self._mCharSetProbers[0].mProbers:
if not prober:
# Log all prober confidences if none met MINIMUM_THRESHOLD
if self.logger.getEffectiveLevel() == logging.DEBUG:
if self.result['encoding'] is None:
self.logger.debug('no probers hit minimum threshold')
for group_prober in self._charset_probers:
if not group_prober:
continue
sys.stderr.write('%s confidence = %s\n' %
(prober.get_charset_name(),
prober.get_confidence()))
if isinstance(group_prober, CharSetGroupProber):
for prober in group_prober.probers:
self.logger.debug('%s %s confidence = %s',
prober.charset_name,
prober.language,
prober.get_confidence())
else:
self.logger.debug('%s %s confidence = %s',
prober.charset_name,
prober.language,
prober.get_confidence())
return self.result

66
thirdparty/chardet/utf8prober.py vendored
View File

@ -25,56 +25,58 @@
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
import sys
from . import constants
from .charsetprober import CharSetProber
from .enums import ProbingState, MachineState
from .codingstatemachine import CodingStateMachine
from .mbcssm import UTF8SMModel
from .mbcssm import UTF8_SM_MODEL
if sys.version_info >= (3, 0):
xrange = range
ONE_CHAR_PROB = 0.5
class UTF8Prober(CharSetProber):
ONE_CHAR_PROB = 0.5
def __init__(self):
CharSetProber.__init__(self)
self._mCodingSM = CodingStateMachine(UTF8SMModel)
super(UTF8Prober, self).__init__()
self.coding_sm = CodingStateMachine(UTF8_SM_MODEL)
self._num_mb_chars = None
self.reset()
def reset(self):
CharSetProber.reset(self)
self._mCodingSM.reset()
self._mNumOfMBChar = 0
super(UTF8Prober, self).reset()
self.coding_sm.reset()
self._num_mb_chars = 0
def get_charset_name(self):
@property
def charset_name(self):
return "utf-8"
def feed(self, aBuf):
for c in aBuf:
codingState = self._mCodingSM.next_state(c)
if codingState == constants.eError:
self._mState = constants.eNotMe
break
elif codingState == constants.eItsMe:
self._mState = constants.eFoundIt
break
elif codingState == constants.eStart:
if self._mCodingSM.get_current_charlen() >= 2:
self._mNumOfMBChar += 1
@property
def language(self):
return ""
if self.get_state() == constants.eDetecting:
if self.get_confidence() > constants.SHORTCUT_THRESHOLD:
self._mState = constants.eFoundIt
def feed(self, byte_str):
for c in byte_str:
coding_state = self.coding_sm.next_state(c)
if coding_state == MachineState.ERROR:
self._state = ProbingState.NOT_ME
break
elif coding_state == MachineState.ITS_ME:
self._state = ProbingState.FOUND_IT
break
elif coding_state == MachineState.START:
if self.coding_sm.get_current_charlen() >= 2:
self._num_mb_chars += 1
return self.get_state()
if self.state == ProbingState.DETECTING:
if self.get_confidence() > self.SHORTCUT_THRESHOLD:
self._state = ProbingState.FOUND_IT
return self.state
def get_confidence(self):
unlike = 0.99
if self._mNumOfMBChar < 6:
for i in xrange(0, self._mNumOfMBChar):
unlike = unlike * ONE_CHAR_PROB
if self._num_mb_chars < 6:
unlike *= self.ONE_CHAR_PROB ** self._num_mb_chars
return 1.0 - unlike
else:
return unlike

9
thirdparty/chardet/version.py vendored Normal file
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@ -0,0 +1,9 @@
"""
This module exists only to simplify retrieving the version number of chardet
from within setup.py and from chardet subpackages.
:author: Dan Blanchard (dan.blanchard@gmail.com)
"""
__version__ = "3.0.4"
VERSION = __version__.split('.')