sqlmapproject/sqlmap
1
1
Fork 0
mirror of https://github.com/sqlmapproject/sqlmap.git synced 2024-11-22 01:26:42 +03:00
Code Issues Packages Projects Releases Wiki Activity

Update of 3rd party library chardet

Browse Source
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
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
lib/core/settings.py
View File

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

@ -15,18 +15,25 @@
# 02110-1301 USA # 02110-1301 USA
######################### END LICENSE BLOCK ######################### ######################### 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): def detect(byte_str):
if ((version_info < (3, 0) and isinstance(aBuf, unicode)) or """
(version_info >= (3, 0) and not isinstance(aBuf, bytes))): Detect the encoding of the given byte string.
raise ValueError('Expected a bytes object, not a unicode object')
from . import universaldetector :param byte_str: The byte sequence to examine.
u = universaldetector.UniversalDetector() :type byte_str: ``bytes`` or ``bytearray``
u.reset() """
u.feed(aBuf) if not isinstance(byte_str, bytearray):
u.close() if not isinstance(byte_str, bytes):
return u.result 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 #Char to FreqOrder table
BIG5_TABLE_SIZE = 5376 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 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 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 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 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 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 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 2299, 208,3546,4161,2020, 330,4438,3944,2906,2499,3799,4439,4811,5796,5797,5798, # 5376
#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
# flake8: noqa

15
thirdparty/chardet/big5prober.py vendored
View File

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

148
thirdparty/chardet/chardistribution.py vendored
View File

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

102
thirdparty/chardet/charsetgroupprober.py vendored
View File

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

119
thirdparty/chardet/charsetprober.py vendored
View File

@ -26,37 +26,120 @@
# 02110-1301 USA # 02110-1301 USA
######################### END LICENSE BLOCK ######################### ######################### END LICENSE BLOCK #########################
from . import constants import logging
import re import re
from .enums import ProbingState
class CharSetProber:
def __init__(self): class CharSetProber(object):
pass
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): def reset(self):
self._mState = constants.eDetecting self._state = ProbingState.DETECTING
def get_charset_name(self): @property
def charset_name(self):
return None return None
def feed(self, aBuf): def feed(self, buf):
pass pass
def get_state(self): @property
return self._mState def state(self):
return self._state
def get_confidence(self): def get_confidence(self):
return 0.0 return 0.0
def filter_high_bit_only(self, aBuf): @staticmethod
aBuf = re.sub(b'([\x00-\x7F])+', b' ', aBuf) def filter_high_byte_only(buf):
return aBuf buf = re.sub(b'([\x00-\x7F])+', b' ', buf)
return buf
def filter_without_english_letters(self, aBuf): @staticmethod
aBuf = re.sub(b'([A-Za-z])+', b' ', aBuf) def filter_international_words(buf):
return aBuf """
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): The input buffer can be thought to contain a series of words delimited
# TODO by markers. This function works to filter all words that contain at
return aBuf 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 # 02110-1301 USA
######################### END LICENSE BLOCK ######################### ######################### END LICENSE BLOCK #########################
from .constants import eStart import logging
from .compat import wrap_ord
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): def __init__(self, sm):
self._mModel = sm self._model = sm
self._mCurrentBytePos = 0 self._curr_byte_pos = 0
self._mCurrentCharLen = 0 self._curr_char_len = 0
self._curr_state = None
self.logger = logging.getLogger(__name__)
self.reset() self.reset()
def reset(self): def reset(self):
self._mCurrentState = eStart self._curr_state = MachineState.START
def next_state(self, c): def next_state(self, c):
# for each byte we get its class # for each byte we get its class
# if it is first byte, we also get byte length # if it is first byte, we also get byte length
# PY3K: aBuf is a byte stream, so c is an int, not a byte byte_class = self._model['class_table'][c]
byteCls = self._mModel['classTable'][wrap_ord(c)] if self._curr_state == MachineState.START:
if self._mCurrentState == eStart: self._curr_byte_pos = 0
self._mCurrentBytePos = 0 self._curr_char_len = self._model['char_len_table'][byte_class]
self._mCurrentCharLen = self._mModel['charLenTable'][byteCls] # from byte's class and state_table, we get its next state
# from byte's class and stateTable, we get its next state curr_state = (self._curr_state * self._model['class_factor']
curr_state = (self._mCurrentState * self._mModel['classFactor'] + byte_class)
+ byteCls) self._curr_state = self._model['state_table'][curr_state]
self._mCurrentState = self._mModel['stateTable'][curr_state] self._curr_byte_pos += 1
self._mCurrentBytePos += 1 return self._curr_state
return self._mCurrentState
def get_current_charlen(self): def get_current_charlen(self):
return self._mCurrentCharLen return self._curr_char_len
def get_coding_state_machine(self): 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 ######################## ######################## BEGIN LICENSE BLOCK ########################
# Contributor(s): # Contributor(s):
# Ian Cordasco - port to Python # Dan Blanchard
# Ian Cordasco
# #
# This library is free software; you can redistribute it and/or # This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public # modify it under the terms of the GNU Lesser General Public
@ -22,13 +23,12 @@ import sys
if sys.version_info < (3, 0): if sys.version_info < (3, 0):
PY2 = True
PY3 = False
base_str = (str, unicode) base_str = (str, unicode)
text_type = unicode
else: else:
PY2 = False
PY3 = True
base_str = (bytes, str) base_str = (bytes, str)
text_type = str
def wrap_ord(a):
if sys.version_info < (3, 0) and isinstance(a, base_str):
return ord(a)
else:
return a

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 # 02110-1301 USA
######################### END LICENSE BLOCK ######################### ######################### END LICENSE BLOCK #########################
from .mbcharsetprober import MultiByteCharSetProber
from .codingstatemachine import CodingStateMachine
from .chardistribution import EUCKRDistributionAnalysis 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): class CP949Prober(MultiByteCharSetProber):
def __init__(self): def __init__(self):
MultiByteCharSetProber.__init__(self) super(CP949Prober, self).__init__()
self._mCodingSM = CodingStateMachine(CP949SMModel) self.coding_sm = CodingStateMachine(CP949_SM_MODEL)
# NOTE: CP949 is a superset of EUC-KR, so the distribution should be # NOTE: CP949 is a superset of EUC-KR, so the distribution should be
# not different. # not different.
self._mDistributionAnalyzer = EUCKRDistributionAnalysis() self.distribution_analyzer = EUCKRDistributionAnalysis()
self.reset() self.reset()
def get_charset_name(self): @property
def charset_name(self):
return "CP949" 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 # 02110-1301 USA
######################### END LICENSE BLOCK ######################### ######################### END LICENSE BLOCK #########################
from . import constants
from .escsm import (HZSMModel, ISO2022CNSMModel, ISO2022JPSMModel,
ISO2022KRSMModel)
from .charsetprober import CharSetProber from .charsetprober import CharSetProber
from .codingstatemachine import CodingStateMachine 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): class EscCharSetProber(CharSetProber):
def __init__(self): """
CharSetProber.__init__(self) This CharSetProber uses a "code scheme" approach for detecting encodings,
self._mCodingSM = [ whereby easily recognizable escape or shift sequences are relied on to
CodingStateMachine(HZSMModel), identify these encodings.
CodingStateMachine(ISO2022CNSMModel), """
CodingStateMachine(ISO2022JPSMModel),
CodingStateMachine(ISO2022KRSMModel) 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() self.reset()
def reset(self): def reset(self):
CharSetProber.reset(self) super(EscCharSetProber, self).reset()
for codingSM in self._mCodingSM: for coding_sm in self.coding_sm:
if not codingSM: if not coding_sm:
continue continue
codingSM.active = True coding_sm.active = True
codingSM.reset() coding_sm.reset()
self._mActiveSM = len(self._mCodingSM) self.active_sm_count = len(self.coding_sm)
self._mDetectedCharset = None self._detected_charset = None
self._detected_language = None
def get_charset_name(self): @property
return self._mDetectedCharset def charset_name(self):
return self._detected_charset
@property
def language(self):
return self._detected_language
def get_confidence(self): def get_confidence(self):
if self._mDetectedCharset: if self._detected_charset:
return 0.99 return 0.99
else: else:
return 0.00 return 0.00
def feed(self, aBuf): def feed(self, byte_str):
for c in aBuf: for c in byte_str:
# PY3K: aBuf is a byte array, so c is an int, not a byte for coding_sm in self.coding_sm:
for codingSM in self._mCodingSM: if not coding_sm or not coding_sm.active:
if not codingSM:
continue continue
if not codingSM.active: coding_state = coding_sm.next_state(c)
continue if coding_state == MachineState.ERROR:
codingState = codingSM.next_state(wrap_ord(c)) coding_sm.active = False
if codingState == constants.eError: self.active_sm_count -= 1
codingSM.active = False if self.active_sm_count <= 0:
self._mActiveSM -= 1 self._state = ProbingState.NOT_ME
if self._mActiveSM <= 0: return self.state
self._mState = constants.eNotMe elif coding_state == MachineState.ITS_ME:
return self.get_state() self._state = ProbingState.FOUND_IT
elif codingState == constants.eItsMe: self._detected_charset = coding_sm.get_coding_state_machine()
self._mState = constants.eFoundIt self._detected_language = coding_sm.language
self._mDetectedCharset = codingSM.get_coding_state_machine() # nopep8 return self.state
return self.get_state()
return self.get_state() return self.state

128
thirdparty/chardet/escsm.py vendored
View File

@ -25,9 +25,9 @@
# 02110-1301 USA # 02110-1301 USA
######################### END LICENSE BLOCK ######################### ######################### 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 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, # 08 - 0f
0,0,0,0,0,0,0,0, # 10 - 17 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 1,1,1,1,1,1,1,1, # f8 - ff
) )
HZ_st = ( HZ_ST = (
eStart,eError, 3,eStart,eStart,eStart,eError,eError,# 00-07 MachineState.START,MachineState.ERROR, 3,MachineState.START,MachineState.START,MachineState.START,MachineState.ERROR,MachineState.ERROR,# 00-07
eError,eError,eError,eError,eItsMe,eItsMe,eItsMe,eItsMe,# 08-0f MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,# 08-0f
eItsMe,eItsMe,eError,eError,eStart,eStart, 4,eError,# 10-17 MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ERROR,MachineState.ERROR,MachineState.START,MachineState.START, 4,MachineState.ERROR,# 10-17
5,eError, 6,eError, 5, 5, 4,eError,# 18-1f 5,MachineState.ERROR, 6,MachineState.ERROR, 5, 5, 4,MachineState.ERROR,# 18-1f
4,eError, 4, 4, 4,eError, 4,eError,# 20-27 4,MachineState.ERROR, 4, 4, 4,MachineState.ERROR, 4,MachineState.ERROR,# 20-27
4,eItsMe,eStart,eStart,eStart,eStart,eStart,eStart,# 28-2f 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, HZ_SM_MODEL = {'class_table': HZ_CLS,
'classFactor': 6, 'class_factor': 6,
'stateTable': HZ_st, 'state_table': HZ_ST,
'charLenTable': HZCharLenTable, 'char_len_table': HZ_CHAR_LEN_TABLE,
'name': "HZ-GB-2312"} 'name': "HZ-GB-2312",
'language': 'Chinese'}
ISO2022CN_cls = ( ISO2022CN_CLS = (
2,0,0,0,0,0,0,0, # 00 - 07 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, # 08 - 0f
0,0,0,0,0,0,0,0, # 10 - 17 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 2,2,2,2,2,2,2,2, # f8 - ff
) )
ISO2022CN_st = ( ISO2022CN_ST = (
eStart, 3,eError,eStart,eStart,eStart,eStart,eStart,# 00-07 MachineState.START, 3,MachineState.ERROR,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START,# 00-07
eStart,eError,eError,eError,eError,eError,eError,eError,# 08-0f MachineState.START,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,# 08-0f
eError,eError,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,# 10-17 MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,# 10-17
eItsMe,eItsMe,eItsMe,eError,eError,eError, 4,eError,# 18-1f MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR, 4,MachineState.ERROR,# 18-1f
eError,eError,eError,eItsMe,eError,eError,eError,eError,# 20-27 MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,# 20-27
5, 6,eError,eError,eError,eError,eError,eError,# 28-2f 5, 6,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,# 28-2f
eError,eError,eError,eItsMe,eError,eError,eError,eError,# 30-37 MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,# 30-37
eError,eError,eError,eError,eError,eItsMe,eError,eStart,# 38-3f 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, ISO2022CN_SM_MODEL = {'class_table': ISO2022CN_CLS,
'classFactor': 9, 'class_factor': 9,
'stateTable': ISO2022CN_st, 'state_table': ISO2022CN_ST,
'charLenTable': ISO2022CNCharLenTable, 'char_len_table': ISO2022CN_CHAR_LEN_TABLE,
'name': "ISO-2022-CN"} 'name': "ISO-2022-CN",
'language': 'Chinese'}
ISO2022JP_cls = ( ISO2022JP_CLS = (
2,0,0,0,0,0,0,0, # 00 - 07 2,0,0,0,0,0,0,0, # 00 - 07
0,0,0,0,0,0,2,2, # 08 - 0f 0,0,0,0,0,0,2,2, # 08 - 0f
0,0,0,0,0,0,0,0, # 10 - 17 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 2,2,2,2,2,2,2,2, # f8 - ff
) )
ISO2022JP_st = ( ISO2022JP_ST = (
eStart, 3,eError,eStart,eStart,eStart,eStart,eStart,# 00-07 MachineState.START, 3,MachineState.ERROR,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START,# 00-07
eStart,eStart,eError,eError,eError,eError,eError,eError,# 08-0f MachineState.START,MachineState.START,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,# 08-0f
eError,eError,eError,eError,eItsMe,eItsMe,eItsMe,eItsMe,# 10-17 MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,# 10-17
eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eError,eError,# 18-1f MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ERROR,MachineState.ERROR,# 18-1f
eError, 5,eError,eError,eError, 4,eError,eError,# 20-27 MachineState.ERROR, 5,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR, 4,MachineState.ERROR,MachineState.ERROR,# 20-27
eError,eError,eError, 6,eItsMe,eError,eItsMe,eError,# 28-2f MachineState.ERROR,MachineState.ERROR,MachineState.ERROR, 6,MachineState.ITS_ME,MachineState.ERROR,MachineState.ITS_ME,MachineState.ERROR,# 28-2f
eError,eError,eError,eError,eError,eError,eItsMe,eItsMe,# 30-37 MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ITS_ME,# 30-37
eError,eError,eError,eItsMe,eError,eError,eError,eError,# 38-3f MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,# 38-3f
eError,eError,eError,eError,eItsMe,eError,eStart,eStart,# 40-47 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, ISO2022JP_SM_MODEL = {'class_table': ISO2022JP_CLS,
'classFactor': 10, 'class_factor': 10,
'stateTable': ISO2022JP_st, 'state_table': ISO2022JP_ST,
'charLenTable': ISO2022JPCharLenTable, 'char_len_table': ISO2022JP_CHAR_LEN_TABLE,
'name': "ISO-2022-JP"} 'name': "ISO-2022-JP",
'language': 'Japanese'}
ISO2022KR_cls = ( ISO2022KR_CLS = (
2,0,0,0,0,0,0,0, # 00 - 07 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, # 08 - 0f
0,0,0,0,0,0,0,0, # 10 - 17 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 2,2,2,2,2,2,2,2, # f8 - ff
) )
ISO2022KR_st = ( ISO2022KR_ST = (
eStart, 3,eError,eStart,eStart,eStart,eError,eError,# 00-07 MachineState.START, 3,MachineState.ERROR,MachineState.START,MachineState.START,MachineState.START,MachineState.ERROR,MachineState.ERROR,# 00-07
eError,eError,eError,eError,eItsMe,eItsMe,eItsMe,eItsMe,# 08-0f MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,# 08-0f
eItsMe,eItsMe,eError,eError,eError, 4,eError,eError,# 10-17 MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR, 4,MachineState.ERROR,MachineState.ERROR,# 10-17
eError,eError,eError,eError, 5,eError,eError,eError,# 18-1f MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR, 5,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,# 18-1f
eError,eError,eError,eItsMe,eStart,eStart,eStart,eStart,# 20-27 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 # 02110-1301 USA
######################### END LICENSE BLOCK ######################### ######################### END LICENSE BLOCK #########################
import sys from .enums import ProbingState, MachineState
from . import constants
from .mbcharsetprober import MultiByteCharSetProber from .mbcharsetprober import MultiByteCharSetProber
from .codingstatemachine import CodingStateMachine from .codingstatemachine import CodingStateMachine
from .chardistribution import EUCJPDistributionAnalysis from .chardistribution import EUCJPDistributionAnalysis
from .jpcntx import EUCJPContextAnalysis 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): class EUCJPProber(MultiByteCharSetProber):
def __init__(self): def __init__(self):
MultiByteCharSetProber.__init__(self) super(EUCJPProber, self).__init__()
self._mCodingSM = CodingStateMachine(EUCJPSMModel) self.coding_sm = CodingStateMachine(EUCJP_SM_MODEL)
self._mDistributionAnalyzer = EUCJPDistributionAnalysis() self.distribution_analyzer = EUCJPDistributionAnalysis()
self._mContextAnalyzer = EUCJPContextAnalysis() self.context_analyzer = EUCJPContextAnalysis()
self.reset() self.reset()
def reset(self): def reset(self):
MultiByteCharSetProber.reset(self) super(EUCJPProber, self).reset()
self._mContextAnalyzer.reset() self.context_analyzer.reset()
def get_charset_name(self): @property
def charset_name(self):
return "EUC-JP" return "EUC-JP"
def feed(self, aBuf): @property
aLen = len(aBuf) def language(self):
for i in xrange(0, aLen): return "Japanese"
# PY3K: aBuf is a byte array, so aBuf[i] is an int, not a byte
codingState = self._mCodingSM.next_state(aBuf[i]) def feed(self, byte_str):
if codingState == constants.eError: for i in range(len(byte_str)):
if constants._debug: # PY3K: byte_str is a byte array, so byte_str[i] is an int, not a byte
sys.stderr.write(self.get_charset_name() coding_state = self.coding_sm.next_state(byte_str[i])
+ ' prober hit error at byte ' + str(i) if coding_state == MachineState.ERROR:
+ '\n') self.logger.debug('%s %s prober hit error at byte %s',
self._mState = constants.eNotMe self.charset_name, self.language, i)
self._state = ProbingState.NOT_ME
break break
elif codingState == constants.eItsMe: elif coding_state == MachineState.ITS_ME:
self._mState = constants.eFoundIt self._state = ProbingState.FOUND_IT
break break
elif codingState == constants.eStart: elif coding_state == MachineState.START:
charLen = self._mCodingSM.get_current_charlen() char_len = self.coding_sm.get_current_charlen()
if i == 0: if i == 0:
self._mLastChar[1] = aBuf[0] self._last_char[1] = byte_str[0]
self._mContextAnalyzer.feed(self._mLastChar, charLen) self.context_analyzer.feed(self._last_char, char_len)
self._mDistributionAnalyzer.feed(self._mLastChar, charLen) self.distribution_analyzer.feed(self._last_char, char_len)
else: else:
self._mContextAnalyzer.feed(aBuf[i - 1:i + 1], charLen) self.context_analyzer.feed(byte_str[i - 1:i + 1],
self._mDistributionAnalyzer.feed(aBuf[i - 1:i + 1], char_len)
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.state == ProbingState.DETECTING:
if (self._mContextAnalyzer.got_enough_data() and if (self.context_analyzer.got_enough_data() and
(self.get_confidence() > constants.SHORTCUT_THRESHOLD)): (self.get_confidence() > self.SHORTCUT_THRESHOLD)):
self._mState = constants.eFoundIt self._state = ProbingState.FOUND_IT
return self.get_state() return self.state
def get_confidence(self): def get_confidence(self):
contxtCf = self._mContextAnalyzer.get_confidence() context_conf = self.context_analyzer.get_confidence()
distribCf = self._mDistributionAnalyzer.get_confidence() distrib_conf = self.distribution_analyzer.get_confidence()
return max(contxtCf, distribCf) 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 EUCKR_TABLE_SIZE = 2352
# Char to FreqOrder table , # 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, 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, 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, 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, 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, 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, 256 670,1190,2635,2636,2637,2638, 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 .mbcharsetprober import MultiByteCharSetProber
from .codingstatemachine import CodingStateMachine from .codingstatemachine import CodingStateMachine
from .chardistribution import EUCKRDistributionAnalysis from .chardistribution import EUCKRDistributionAnalysis
from .mbcssm import EUCKRSMModel from .mbcssm import EUCKR_SM_MODEL
class EUCKRProber(MultiByteCharSetProber): class EUCKRProber(MultiByteCharSetProber):
def __init__(self): def __init__(self):
MultiByteCharSetProber.__init__(self) super(EUCKRProber, self).__init__()
self._mCodingSM = CodingStateMachine(EUCKRSMModel) self.coding_sm = CodingStateMachine(EUCKR_SM_MODEL)
self._mDistributionAnalyzer = EUCKRDistributionAnalysis() self.distribution_analyzer = EUCKRDistributionAnalysis()
self.reset() self.reset()
def get_charset_name(self): @property
def charset_name(self):
return "EUC-KR" return "EUC-KR"
@property
def language(self):
return "Korean"

719
thirdparty/chardet/euctwfreq.py vendored
View File

@ -44,385 +44,344 @@
EUCTW_TYPICAL_DISTRIBUTION_RATIO = 0.75 EUCTW_TYPICAL_DISTRIBUTION_RATIO = 0.75
# Char to FreqOrder table , # 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 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 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 1198,3869,3313,4060, 410,2211, 302, 590, 361,1963, 8, 204, 58,4296,7311,1931, # 2774
63,7312,7313, 317,1614, 75, 222, 159,4061,2412,1480,7314,3500,3068, 224,2809, # 2790 63,7312,7313, 317,1614, 75, 222, 159,4061,2412,1480,7314,3500,3068, 224,2809, # 2790
3616, 3, 10,3870,1471, 29,2774,1135,2852,1939, 873, 130,3242,1123, 312,7315, # 2806 3616, 3, 10,3870,1471, 29,2774,1135,2852,1939, 873, 130,3242,1123, 312,7315, # 2806
4297,2051, 507, 252, 682,7316, 142,1914, 124, 206,2932, 34,3501,3173, 64, 604, # 2822 4297,2051, 507, 252, 682,7316, 142,1914, 124, 206,2932, 34,3501,3173, 64, 604, # 2822
7317,2494,1976,1977, 155,1990, 645, 641,1606,7318,3405, 337, 72, 406,7319, 80, # 2838 7317,2494,1976,1977, 155,1990, 645, 641,1606,7318,3405, 337, 72, 406,7319, 80, # 2838
630, 238,3174,1509, 263, 939,1092,2644, 756,1440,1094,3406, 449, 69,2969, 591, # 2854 630, 238,3174,1509, 263, 939,1092,2644, 756,1440,1094,3406, 449, 69,2969, 591, # 2854
179,2095, 471, 115,2034,1843, 60, 50,2970, 134, 806,1868, 734,2035,3407, 180, # 2870 179,2095, 471, 115,2034,1843, 60, 50,2970, 134, 806,1868, 734,2035,3407, 180, # 2870
995,1607, 156, 537,2893, 688,7320, 319,1305, 779,2144, 514,2374, 298,4298, 359, # 2886 995,1607, 156, 537,2893, 688,7320, 319,1305, 779,2144, 514,2374, 298,4298, 359, # 2886
2495, 90,2707,1338, 663, 11, 906,1099,2545, 20,2436, 182, 532,1716,7321, 732, # 2902 2495, 90,2707,1338, 663, 11, 906,1099,2545, 20,2436, 182, 532,1716,7321, 732, # 2902
1376,4062,1311,1420,3175, 25,2312,1056, 113, 399, 382,1949, 242,3408,2467, 529, # 2918 1376,4062,1311,1420,3175, 25,2312,1056, 113, 399, 382,1949, 242,3408,2467, 529, # 2918
3243, 475,1447,3617,7322, 117, 21, 656, 810,1297,2295,2329,3502,7323, 126,4063, # 2934 3243, 475,1447,3617,7322, 117, 21, 656, 810,1297,2295,2329,3502,7323, 126,4063, # 2934
706, 456, 150, 613,4299, 71,1118,2036,4064, 145,3069, 85, 835, 486,2114,1246, # 2950 706, 456, 150, 613,4299, 71,1118,2036,4064, 145,3069, 85, 835, 486,2114,1246, # 2950
1426, 428, 727,1285,1015, 800, 106, 623, 303,1281,7324,2127,2354, 347,3736, 221, # 2966 1426, 428, 727,1285,1015, 800, 106, 623, 303,1281,7324,2127,2354, 347,3736, 221, # 2966
3503,3110,7325,1955,1153,4065, 83, 296,1199,3070, 192, 624, 93,7326, 822,1897, # 2982 3503,3110,7325,1955,1153,4065, 83, 296,1199,3070, 192, 624, 93,7326, 822,1897, # 2982
2810,3111, 795,2064, 991,1554,1542,1592, 27, 43,2853, 859, 139,1456, 860,4300, # 2998 2810,3111, 795,2064, 991,1554,1542,1592, 27, 43,2853, 859, 139,1456, 860,4300, # 2998
437, 712,3871, 164,2392,3112, 695, 211,3017,2096, 195,3872,1608,3504,3505,3618, # 3014 437, 712,3871, 164,2392,3112, 695, 211,3017,2096, 195,3872,1608,3504,3505,3618, # 3014
3873, 234, 811,2971,2097,3874,2229,1441,3506,1615,2375, 668,2076,1638, 305, 228, # 3030 3873, 234, 811,2971,2097,3874,2229,1441,3506,1615,2375, 668,2076,1638, 305, 228, # 3030
1664,4301, 467, 415,7327, 262,2098,1593, 239, 108, 300, 200,1033, 512,1247,2077, # 3046 1664,4301, 467, 415,7327, 262,2098,1593, 239, 108, 300, 200,1033, 512,1247,2077, # 3046
7328,7329,2173,3176,3619,2673, 593, 845,1062,3244, 88,1723,2037,3875,1950, 212, # 3062 7328,7329,2173,3176,3619,2673, 593, 845,1062,3244, 88,1723,2037,3875,1950, 212, # 3062
266, 152, 149, 468,1898,4066,4302, 77, 187,7330,3018, 37, 5,2972,7331,3876, # 3078 266, 152, 149, 468,1898,4066,4302, 77, 187,7330,3018, 37, 5,2972,7331,3876, # 3078
7332,7333, 39,2517,4303,2894,3177,2078, 55, 148, 74,4304, 545, 483,1474,1029, # 3094 7332,7333, 39,2517,4303,2894,3177,2078, 55, 148, 74,4304, 545, 483,1474,1029, # 3094
1665, 217,1869,1531,3113,1104,2645,4067, 24, 172,3507, 900,3877,3508,3509,4305, # 3110 1665, 217,1869,1531,3113,1104,2645,4067, 24, 172,3507, 900,3877,3508,3509,4305, # 3110
32,1408,2811,1312, 329, 487,2355,2247,2708, 784,2674, 4,3019,3314,1427,1788, # 3126 32,1408,2811,1312, 329, 487,2355,2247,2708, 784,2674, 4,3019,3314,1427,1788, # 3126
188, 109, 499,7334,3620,1717,1789, 888,1217,3020,4306,7335,3510,7336,3315,1520, # 3142 188, 109, 499,7334,3620,1717,1789, 888,1217,3020,4306,7335,3510,7336,3315,1520, # 3142
3621,3878, 196,1034, 775,7337,7338, 929,1815, 249, 439, 38,7339,1063,7340, 794, # 3158 3621,3878, 196,1034, 775,7337,7338, 929,1815, 249, 439, 38,7339,1063,7340, 794, # 3158
3879,1435,2296, 46, 178,3245,2065,7341,2376,7342, 214,1709,4307, 804, 35, 707, # 3174 3879,1435,2296, 46, 178,3245,2065,7341,2376,7342, 214,1709,4307, 804, 35, 707, # 3174
324,3622,1601,2546, 140, 459,4068,7343,7344,1365, 839, 272, 978,2257,2572,3409, # 3190 324,3622,1601,2546, 140, 459,4068,7343,7344,1365, 839, 272, 978,2257,2572,3409, # 3190
2128,1363,3623,1423, 697, 100,3071, 48, 70,1231, 495,3114,2193,7345,1294,7346, # 3206 2128,1363,3623,1423, 697, 100,3071, 48, 70,1231, 495,3114,2193,7345,1294,7346, # 3206
2079, 462, 586,1042,3246, 853, 256, 988, 185,2377,3410,1698, 434,1084,7347,3411, # 3222 2079, 462, 586,1042,3246, 853, 256, 988, 185,2377,3410,1698, 434,1084,7347,3411, # 3222
314,2615,2775,4308,2330,2331, 569,2280, 637,1816,2518, 757,1162,1878,1616,3412, # 3238 314,2615,2775,4308,2330,2331, 569,2280, 637,1816,2518, 757,1162,1878,1616,3412, # 3238
287,1577,2115, 768,4309,1671,2854,3511,2519,1321,3737, 909,2413,7348,4069, 933, # 3254 287,1577,2115, 768,4309,1671,2854,3511,2519,1321,3737, 909,2413,7348,4069, 933, # 3254
3738,7349,2052,2356,1222,4310, 765,2414,1322, 786,4311,7350,1919,1462,1677,2895, # 3270 3738,7349,2052,2356,1222,4310, 765,2414,1322, 786,4311,7350,1919,1462,1677,2895, # 3270
1699,7351,4312,1424,2437,3115,3624,2590,3316,1774,1940,3413,3880,4070, 309,1369, # 3286 1699,7351,4312,1424,2437,3115,3624,2590,3316,1774,1940,3413,3880,4070, 309,1369, # 3286
1130,2812, 364,2230,1653,1299,3881,3512,3882,3883,2646, 525,1085,3021, 902,2000, # 3302 1130,2812, 364,2230,1653,1299,3881,3512,3882,3883,2646, 525,1085,3021, 902,2000, # 3302
1475, 964,4313, 421,1844,1415,1057,2281, 940,1364,3116, 376,4314,4315,1381, 7, # 3318 1475, 964,4313, 421,1844,1415,1057,2281, 940,1364,3116, 376,4314,4315,1381, 7, # 3318
2520, 983,2378, 336,1710,2675,1845, 321,3414, 559,1131,3022,2742,1808,1132,1313, # 3334 2520, 983,2378, 336,1710,2675,1845, 321,3414, 559,1131,3022,2742,1808,1132,1313, # 3334
265,1481,1857,7352, 352,1203,2813,3247, 167,1089, 420,2814, 776, 792,1724,3513, # 3350 265,1481,1857,7352, 352,1203,2813,3247, 167,1089, 420,2814, 776, 792,1724,3513, # 3350
4071,2438,3248,7353,4072,7354, 446, 229, 333,2743, 901,3739,1200,1557,4316,2647, # 3366 4071,2438,3248,7353,4072,7354, 446, 229, 333,2743, 901,3739,1200,1557,4316,2647, # 3366
1920, 395,2744,2676,3740,4073,1835, 125, 916,3178,2616,4317,7355,7356,3741,7357, # 3382 1920, 395,2744,2676,3740,4073,1835, 125, 916,3178,2616,4317,7355,7356,3741,7357, # 3382
7358,7359,4318,3117,3625,1133,2547,1757,3415,1510,2313,1409,3514,7360,2145, 438, # 3398 7358,7359,4318,3117,3625,1133,2547,1757,3415,1510,2313,1409,3514,7360,2145, 438, # 3398
2591,2896,2379,3317,1068, 958,3023, 461, 311,2855,2677,4074,1915,3179,4075,1978, # 3414 2591,2896,2379,3317,1068, 958,3023, 461, 311,2855,2677,4074,1915,3179,4075,1978, # 3414
383, 750,2745,2617,4076, 274, 539, 385,1278,1442,7361,1154,1964, 384, 561, 210, # 3430 383, 750,2745,2617,4076, 274, 539, 385,1278,1442,7361,1154,1964, 384, 561, 210, # 3430
98,1295,2548,3515,7362,1711,2415,1482,3416,3884,2897,1257, 129,7363,3742, 642, # 3446 98,1295,2548,3515,7362,1711,2415,1482,3416,3884,2897,1257, 129,7363,3742, 642, # 3446
523,2776,2777,2648,7364, 141,2231,1333, 68, 176, 441, 876, 907,4077, 603,2592, # 3462 523,2776,2777,2648,7364, 141,2231,1333, 68, 176, 441, 876, 907,4077, 603,2592, # 3462
710, 171,3417, 404, 549, 18,3118,2393,1410,3626,1666,7365,3516,4319,2898,4320, # 3478 710, 171,3417, 404, 549, 18,3118,2393,1410,3626,1666,7365,3516,4319,2898,4320, # 3478
7366,2973, 368,7367, 146, 366, 99, 871,3627,1543, 748, 807,1586,1185, 22,2258, # 3494 7366,2973, 368,7367, 146, 366, 99, 871,3627,1543, 748, 807,1586,1185, 22,2258, # 3494
379,3743,3180,7368,3181, 505,1941,2618,1991,1382,2314,7369, 380,2357, 218, 702, # 3510 379,3743,3180,7368,3181, 505,1941,2618,1991,1382,2314,7369, 380,2357, 218, 702, # 3510
1817,1248,3418,3024,3517,3318,3249,7370,2974,3628, 930,3250,3744,7371, 59,7372, # 3526 1817,1248,3418,3024,3517,3318,3249,7370,2974,3628, 930,3250,3744,7371, 59,7372, # 3526
585, 601,4078, 497,3419,1112,1314,4321,1801,7373,1223,1472,2174,7374, 749,1836, # 3542 585, 601,4078, 497,3419,1112,1314,4321,1801,7373,1223,1472,2174,7374, 749,1836, # 3542
690,1899,3745,1772,3885,1476, 429,1043,1790,2232,2116, 917,4079, 447,1086,1629, # 3558 690,1899,3745,1772,3885,1476, 429,1043,1790,2232,2116, 917,4079, 447,1086,1629, # 3558
7375, 556,7376,7377,2020,1654, 844,1090, 105, 550, 966,1758,2815,1008,1782, 686, # 3574 7375, 556,7376,7377,2020,1654, 844,1090, 105, 550, 966,1758,2815,1008,1782, 686, # 3574
1095,7378,2282, 793,1602,7379,3518,2593,4322,4080,2933,2297,4323,3746, 980,2496, # 3590 1095,7378,2282, 793,1602,7379,3518,2593,4322,4080,2933,2297,4323,3746, 980,2496, # 3590
544, 353, 527,4324, 908,2678,2899,7380, 381,2619,1942,1348,7381,1341,1252, 560, # 3606 544, 353, 527,4324, 908,2678,2899,7380, 381,2619,1942,1348,7381,1341,1252, 560, # 3606
3072,7382,3420,2856,7383,2053, 973, 886,2080, 143,4325,7384,7385, 157,3886, 496, # 3622 3072,7382,3420,2856,7383,2053, 973, 886,2080, 143,4325,7384,7385, 157,3886, 496, # 3622
4081, 57, 840, 540,2038,4326,4327,3421,2117,1445, 970,2259,1748,1965,2081,4082, # 3638 4081, 57, 840, 540,2038,4326,4327,3421,2117,1445, 970,2259,1748,1965,2081,4082, # 3638
3119,1234,1775,3251,2816,3629, 773,1206,2129,1066,2039,1326,3887,1738,1725,4083, # 3654 3119,1234,1775,3251,2816,3629, 773,1206,2129,1066,2039,1326,3887,1738,1725,4083, # 3654
279,3120, 51,1544,2594, 423,1578,2130,2066, 173,4328,1879,7386,7387,1583, 264, # 3670 279,3120, 51,1544,2594, 423,1578,2130,2066, 173,4328,1879,7386,7387,1583, 264, # 3670
610,3630,4329,2439, 280, 154,7388,7389,7390,1739, 338,1282,3073, 693,2857,1411, # 3686 610,3630,4329,2439, 280, 154,7388,7389,7390,1739, 338,1282,3073, 693,2857,1411, # 3686
1074,3747,2440,7391,4330,7392,7393,1240, 952,2394,7394,2900,1538,2679, 685,1483, # 3702 1074,3747,2440,7391,4330,7392,7393,1240, 952,2394,7394,2900,1538,2679, 685,1483, # 3702
4084,2468,1436, 953,4085,2054,4331, 671,2395, 79,4086,2441,3252, 608, 567,2680, # 3718 4084,2468,1436, 953,4085,2054,4331, 671,2395, 79,4086,2441,3252, 608, 567,2680, # 3718
3422,4087,4088,1691, 393,1261,1791,2396,7395,4332,7396,7397,7398,7399,1383,1672, # 3734 3422,4087,4088,1691, 393,1261,1791,2396,7395,4332,7396,7397,7398,7399,1383,1672, # 3734
3748,3182,1464, 522,1119, 661,1150, 216, 675,4333,3888,1432,3519, 609,4334,2681, # 3750 3748,3182,1464, 522,1119, 661,1150, 216, 675,4333,3888,1432,3519, 609,4334,2681, # 3750
2397,7400,7401,7402,4089,3025, 0,7403,2469, 315, 231,2442, 301,3319,4335,2380, # 3766 2397,7400,7401,7402,4089,3025, 0,7403,2469, 315, 231,2442, 301,3319,4335,2380, # 3766
7404, 233,4090,3631,1818,4336,4337,7405, 96,1776,1315,2082,7406, 257,7407,1809, # 3782 7404, 233,4090,3631,1818,4336,4337,7405, 96,1776,1315,2082,7406, 257,7407,1809, # 3782
3632,2709,1139,1819,4091,2021,1124,2163,2778,1777,2649,7408,3074, 363,1655,3183, # 3798 3632,2709,1139,1819,4091,2021,1124,2163,2778,1777,2649,7408,3074, 363,1655,3183, # 3798
7409,2975,7410,7411,7412,3889,1567,3890, 718, 103,3184, 849,1443, 341,3320,2934, # 3814 7409,2975,7410,7411,7412,3889,1567,3890, 718, 103,3184, 849,1443, 341,3320,2934, # 3814
1484,7413,1712, 127, 67, 339,4092,2398, 679,1412, 821,7414,7415, 834, 738, 351, # 3830 1484,7413,1712, 127, 67, 339,4092,2398, 679,1412, 821,7414,7415, 834, 738, 351, # 3830
2976,2146, 846, 235,1497,1880, 418,1992,3749,2710, 186,1100,2147,2746,3520,1545, # 3846 2976,2146, 846, 235,1497,1880, 418,1992,3749,2710, 186,1100,2147,2746,3520,1545, # 3846
1355,2935,2858,1377, 583,3891,4093,2573,2977,7416,1298,3633,1078,2549,3634,2358, # 3862 1355,2935,2858,1377, 583,3891,4093,2573,2977,7416,1298,3633,1078,2549,3634,2358, # 3862
78,3750,3751, 267,1289,2099,2001,1594,4094, 348, 369,1274,2194,2175,1837,4338, # 3878 78,3750,3751, 267,1289,2099,2001,1594,4094, 348, 369,1274,2194,2175,1837,4338, # 3878
1820,2817,3635,2747,2283,2002,4339,2936,2748, 144,3321, 882,4340,3892,2749,3423, # 3894 1820,2817,3635,2747,2283,2002,4339,2936,2748, 144,3321, 882,4340,3892,2749,3423, # 3894
4341,2901,7417,4095,1726, 320,7418,3893,3026, 788,2978,7419,2818,1773,1327,2859, # 3910 4341,2901,7417,4095,1726, 320,7418,3893,3026, 788,2978,7419,2818,1773,1327,2859, # 3910
3894,2819,7420,1306,4342,2003,1700,3752,3521,2359,2650, 787,2022, 506, 824,3636, # 3926 3894,2819,7420,1306,4342,2003,1700,3752,3521,2359,2650, 787,2022, 506, 824,3636, # 3926
534, 323,4343,1044,3322,2023,1900, 946,3424,7421,1778,1500,1678,7422,1881,4344, # 3942 534, 323,4343,1044,3322,2023,1900, 946,3424,7421,1778,1500,1678,7422,1881,4344, # 3942
165, 243,4345,3637,2521, 123, 683,4096, 764,4346, 36,3895,1792, 589,2902, 816, # 3958 165, 243,4345,3637,2521, 123, 683,4096, 764,4346, 36,3895,1792, 589,2902, 816, # 3958
626,1667,3027,2233,1639,1555,1622,3753,3896,7423,3897,2860,1370,1228,1932, 891, # 3974 626,1667,3027,2233,1639,1555,1622,3753,3896,7423,3897,2860,1370,1228,1932, 891, # 3974
2083,2903, 304,4097,7424, 292,2979,2711,3522, 691,2100,4098,1115,4347, 118, 662, # 3990 2083,2903, 304,4097,7424, 292,2979,2711,3522, 691,2100,4098,1115,4347, 118, 662, # 3990
7425, 611,1156, 854,2381,1316,2861, 2, 386, 515,2904,7426,7427,3253, 868,2234, # 4006 7425, 611,1156, 854,2381,1316,2861, 2, 386, 515,2904,7426,7427,3253, 868,2234, # 4006
1486, 855,2651, 785,2212,3028,7428,1040,3185,3523,7429,3121, 448,7430,1525,7431, # 4022 1486, 855,2651, 785,2212,3028,7428,1040,3185,3523,7429,3121, 448,7430,1525,7431, # 4022
2164,4348,7432,3754,7433,4099,2820,3524,3122, 503, 818,3898,3123,1568, 814, 676, # 4038 2164,4348,7432,3754,7433,4099,2820,3524,3122, 503, 818,3898,3123,1568, 814, 676, # 4038
1444, 306,1749,7434,3755,1416,1030, 197,1428, 805,2821,1501,4349,7435,7436,7437, # 4054 1444, 306,1749,7434,3755,1416,1030, 197,1428, 805,2821,1501,4349,7435,7436,7437, # 4054
1993,7438,4350,7439,7440,2195, 13,2779,3638,2980,3124,1229,1916,7441,3756,2131, # 4070 1993,7438,4350,7439,7440,2195, 13,2779,3638,2980,3124,1229,1916,7441,3756,2131, # 4070
7442,4100,4351,2399,3525,7443,2213,1511,1727,1120,7444,7445, 646,3757,2443, 307, # 4086 7442,4100,4351,2399,3525,7443,2213,1511,1727,1120,7444,7445, 646,3757,2443, 307, # 4086
7446,7447,1595,3186,7448,7449,7450,3639,1113,1356,3899,1465,2522,2523,7451, 519, # 4102 7446,7447,1595,3186,7448,7449,7450,3639,1113,1356,3899,1465,2522,2523,7451, 519, # 4102
7452, 128,2132, 92,2284,1979,7453,3900,1512, 342,3125,2196,7454,2780,2214,1980, # 4118 7452, 128,2132, 92,2284,1979,7453,3900,1512, 342,3125,2196,7454,2780,2214,1980, # 4118
3323,7455, 290,1656,1317, 789, 827,2360,7456,3758,4352, 562, 581,3901,7457, 401, # 4134 3323,7455, 290,1656,1317, 789, 827,2360,7456,3758,4352, 562, 581,3901,7457, 401, # 4134
4353,2248, 94,4354,1399,2781,7458,1463,2024,4355,3187,1943,7459, 828,1105,4101, # 4150 4353,2248, 94,4354,1399,2781,7458,1463,2024,4355,3187,1943,7459, 828,1105,4101, # 4150
1262,1394,7460,4102, 605,4356,7461,1783,2862,7462,2822, 819,2101, 578,2197,2937, # 4166 1262,1394,7460,4102, 605,4356,7461,1783,2862,7462,2822, 819,2101, 578,2197,2937, # 4166
7463,1502, 436,3254,4103,3255,2823,3902,2905,3425,3426,7464,2712,2315,7465,7466, # 4182 7463,1502, 436,3254,4103,3255,2823,3902,2905,3425,3426,7464,2712,2315,7465,7466, # 4182
2332,2067, 23,4357, 193, 826,3759,2102, 699,1630,4104,3075, 390,1793,1064,3526, # 4198 2332,2067, 23,4357, 193, 826,3759,2102, 699,1630,4104,3075, 390,1793,1064,3526, # 4198
7467,1579,3076,3077,1400,7468,4105,1838,1640,2863,7469,4358,4359, 137,4106, 598, # 4214 7467,1579,3076,3077,1400,7468,4105,1838,1640,2863,7469,4358,4359, 137,4106, 598, # 4214
3078,1966, 780, 104, 974,2938,7470, 278, 899, 253, 402, 572, 504, 493,1339,7471, # 4230 3078,1966, 780, 104, 974,2938,7470, 278, 899, 253, 402, 572, 504, 493,1339,7471, # 4230
3903,1275,4360,2574,2550,7472,3640,3029,3079,2249, 565,1334,2713, 863, 41,7473, # 4246 3903,1275,4360,2574,2550,7472,3640,3029,3079,2249, 565,1334,2713, 863, 41,7473, # 4246
7474,4361,7475,1657,2333, 19, 463,2750,4107, 606,7476,2981,3256,1087,2084,1323, # 4262 7474,4361,7475,1657,2333, 19, 463,2750,4107, 606,7476,2981,3256,1087,2084,1323, # 4262
2652,2982,7477,1631,1623,1750,4108,2682,7478,2864, 791,2714,2653,2334, 232,2416, # 4278 2652,2982,7477,1631,1623,1750,4108,2682,7478,2864, 791,2714,2653,2334, 232,2416, # 4278
7479,2983,1498,7480,2654,2620, 755,1366,3641,3257,3126,2025,1609, 119,1917,3427, # 4294 7479,2983,1498,7480,2654,2620, 755,1366,3641,3257,3126,2025,1609, 119,1917,3427, # 4294
862,1026,4109,7481,3904,3760,4362,3905,4363,2260,1951,2470,7482,1125, 817,4110, # 4310 862,1026,4109,7481,3904,3760,4362,3905,4363,2260,1951,2470,7482,1125, 817,4110, # 4310
4111,3906,1513,1766,2040,1487,4112,3030,3258,2824,3761,3127,7483,7484,1507,7485, # 4326 4111,3906,1513,1766,2040,1487,4112,3030,3258,2824,3761,3127,7483,7484,1507,7485, # 4326
2683, 733, 40,1632,1106,2865, 345,4113, 841,2524, 230,4364,2984,1846,3259,3428, # 4342 2683, 733, 40,1632,1106,2865, 345,4113, 841,2524, 230,4364,2984,1846,3259,3428, # 4342
7486,1263, 986,3429,7487, 735, 879, 254,1137, 857, 622,1300,1180,1388,1562,3907, # 4358 7486,1263, 986,3429,7487, 735, 879, 254,1137, 857, 622,1300,1180,1388,1562,3907, # 4358
3908,2939, 967,2751,2655,1349, 592,2133,1692,3324,2985,1994,4114,1679,3909,1901, # 4374 3908,2939, 967,2751,2655,1349, 592,2133,1692,3324,2985,1994,4114,1679,3909,1901, # 4374
2185,7488, 739,3642,2715,1296,1290,7489,4115,2198,2199,1921,1563,2595,2551,1870, # 4390 2185,7488, 739,3642,2715,1296,1290,7489,4115,2198,2199,1921,1563,2595,2551,1870, # 4390
2752,2986,7490, 435,7491, 343,1108, 596, 17,1751,4365,2235,3430,3643,7492,4366, # 4406 2752,2986,7490, 435,7491, 343,1108, 596, 17,1751,4365,2235,3430,3643,7492,4366, # 4406
294,3527,2940,1693, 477, 979, 281,2041,3528, 643,2042,3644,2621,2782,2261,1031, # 4422 294,3527,2940,1693, 477, 979, 281,2041,3528, 643,2042,3644,2621,2782,2261,1031, # 4422
2335,2134,2298,3529,4367, 367,1249,2552,7493,3530,7494,4368,1283,3325,2004, 240, # 4438 2335,2134,2298,3529,4367, 367,1249,2552,7493,3530,7494,4368,1283,3325,2004, 240, # 4438
1762,3326,4369,4370, 836,1069,3128, 474,7495,2148,2525, 268,3531,7496,3188,1521, # 4454 1762,3326,4369,4370, 836,1069,3128, 474,7495,2148,2525, 268,3531,7496,3188,1521, # 4454
1284,7497,1658,1546,4116,7498,3532,3533,7499,4117,3327,2684,1685,4118, 961,1673, # 4470 1284,7497,1658,1546,4116,7498,3532,3533,7499,4117,3327,2684,1685,4118, 961,1673, # 4470
2622, 190,2005,2200,3762,4371,4372,7500, 570,2497,3645,1490,7501,4373,2623,3260, # 4486 2622, 190,2005,2200,3762,4371,4372,7500, 570,2497,3645,1490,7501,4373,2623,3260, # 4486
1956,4374, 584,1514, 396,1045,1944,7502,4375,1967,2444,7503,7504,4376,3910, 619, # 4502 1956,4374, 584,1514, 396,1045,1944,7502,4375,1967,2444,7503,7504,4376,3910, 619, # 4502
7505,3129,3261, 215,2006,2783,2553,3189,4377,3190,4378, 763,4119,3763,4379,7506, # 4518 7505,3129,3261, 215,2006,2783,2553,3189,4377,3190,4378, 763,4119,3763,4379,7506, # 4518
7507,1957,1767,2941,3328,3646,1174, 452,1477,4380,3329,3130,7508,2825,1253,2382, # 4534 7507,1957,1767,2941,3328,3646,1174, 452,1477,4380,3329,3130,7508,2825,1253,2382, # 4534
2186,1091,2285,4120, 492,7509, 638,1169,1824,2135,1752,3911, 648, 926,1021,1324, # 4550 2186,1091,2285,4120, 492,7509, 638,1169,1824,2135,1752,3911, 648, 926,1021,1324, # 4550
4381, 520,4382, 997, 847,1007, 892,4383,3764,2262,1871,3647,7510,2400,1784,4384, # 4566 4381, 520,4382, 997, 847,1007, 892,4383,3764,2262,1871,3647,7510,2400,1784,4384, # 4566
1952,2942,3080,3191,1728,4121,2043,3648,4385,2007,1701,3131,1551, 30,2263,4122, # 4582 1952,2942,3080,3191,1728,4121,2043,3648,4385,2007,1701,3131,1551, 30,2263,4122, # 4582
7511,2026,4386,3534,7512, 501,7513,4123, 594,3431,2165,1821,3535,3432,3536,3192, # 4598 7511,2026,4386,3534,7512, 501,7513,4123, 594,3431,2165,1821,3535,3432,3536,3192, # 4598
829,2826,4124,7514,1680,3132,1225,4125,7515,3262,4387,4126,3133,2336,7516,4388, # 4614 829,2826,4124,7514,1680,3132,1225,4125,7515,3262,4387,4126,3133,2336,7516,4388, # 4614
4127,7517,3912,3913,7518,1847,2383,2596,3330,7519,4389, 374,3914, 652,4128,4129, # 4630 4127,7517,3912,3913,7518,1847,2383,2596,3330,7519,4389, 374,3914, 652,4128,4129, # 4630
375,1140, 798,7520,7521,7522,2361,4390,2264, 546,1659, 138,3031,2445,4391,7523, # 4646 375,1140, 798,7520,7521,7522,2361,4390,2264, 546,1659, 138,3031,2445,4391,7523, # 4646
2250, 612,1848, 910, 796,3765,1740,1371, 825,3766,3767,7524,2906,2554,7525, 692, # 4662 2250, 612,1848, 910, 796,3765,1740,1371, 825,3766,3767,7524,2906,2554,7525, 692, # 4662
444,3032,2624, 801,4392,4130,7526,1491, 244,1053,3033,4131,4132, 340,7527,3915, # 4678 444,3032,2624, 801,4392,4130,7526,1491, 244,1053,3033,4131,4132, 340,7527,3915, # 4678
1041,2987, 293,1168, 87,1357,7528,1539, 959,7529,2236, 721, 694,4133,3768, 219, # 4694 1041,2987, 293,1168, 87,1357,7528,1539, 959,7529,2236, 721, 694,4133,3768, 219, # 4694
1478, 644,1417,3331,2656,1413,1401,1335,1389,3916,7530,7531,2988,2362,3134,1825, # 4710 1478, 644,1417,3331,2656,1413,1401,1335,1389,3916,7530,7531,2988,2362,3134,1825, # 4710
730,1515, 184,2827, 66,4393,7532,1660,2943, 246,3332, 378,1457, 226,3433, 975, # 4726 730,1515, 184,2827, 66,4393,7532,1660,2943, 246,3332, 378,1457, 226,3433, 975, # 4726
3917,2944,1264,3537, 674, 696,7533, 163,7534,1141,2417,2166, 713,3538,3333,4394, # 4742 3917,2944,1264,3537, 674, 696,7533, 163,7534,1141,2417,2166, 713,3538,3333,4394, # 4742
3918,7535,7536,1186, 15,7537,1079,1070,7538,1522,3193,3539, 276,1050,2716, 758, # 4758 3918,7535,7536,1186, 15,7537,1079,1070,7538,1522,3193,3539, 276,1050,2716, 758, # 4758
1126, 653,2945,3263,7539,2337, 889,3540,3919,3081,2989, 903,1250,4395,3920,3434, # 4774 1126, 653,2945,3263,7539,2337, 889,3540,3919,3081,2989, 903,1250,4395,3920,3434, # 4774
3541,1342,1681,1718, 766,3264, 286, 89,2946,3649,7540,1713,7541,2597,3334,2990, # 4790 3541,1342,1681,1718, 766,3264, 286, 89,2946,3649,7540,1713,7541,2597,3334,2990, # 4790
7542,2947,2215,3194,2866,7543,4396,2498,2526, 181, 387,1075,3921, 731,2187,3335, # 4806 7542,2947,2215,3194,2866,7543,4396,2498,2526, 181, 387,1075,3921, 731,2187,3335, # 4806
7544,3265, 310, 313,3435,2299, 770,4134, 54,3034, 189,4397,3082,3769,3922,7545, # 4822 7544,3265, 310, 313,3435,2299, 770,4134, 54,3034, 189,4397,3082,3769,3922,7545, # 4822
1230,1617,1849, 355,3542,4135,4398,3336, 111,4136,3650,1350,3135,3436,3035,4137, # 4838 1230,1617,1849, 355,3542,4135,4398,3336, 111,4136,3650,1350,3135,3436,3035,4137, # 4838
2149,3266,3543,7546,2784,3923,3924,2991, 722,2008,7547,1071, 247,1207,2338,2471, # 4854 2149,3266,3543,7546,2784,3923,3924,2991, 722,2008,7547,1071, 247,1207,2338,2471, # 4854
1378,4399,2009, 864,1437,1214,4400, 373,3770,1142,2216, 667,4401, 442,2753,2555, # 4870 1378,4399,2009, 864,1437,1214,4400, 373,3770,1142,2216, 667,4401, 442,2753,2555, # 4870
3771,3925,1968,4138,3267,1839, 837, 170,1107, 934,1336,1882,7548,7549,2118,4139, # 4886 3771,3925,1968,4138,3267,1839, 837, 170,1107, 934,1336,1882,7548,7549,2118,4139, # 4886
2828, 743,1569,7550,4402,4140, 582,2384,1418,3437,7551,1802,7552, 357,1395,1729, # 4902 2828, 743,1569,7550,4402,4140, 582,2384,1418,3437,7551,1802,7552, 357,1395,1729, # 4902
3651,3268,2418,1564,2237,7553,3083,3772,1633,4403,1114,2085,4141,1532,7554, 482, # 4918 3651,3268,2418,1564,2237,7553,3083,3772,1633,4403,1114,2085,4141,1532,7554, 482, # 4918
2446,4404,7555,7556,1492, 833,1466,7557,2717,3544,1641,2829,7558,1526,1272,3652, # 4934 2446,4404,7555,7556,1492, 833,1466,7557,2717,3544,1641,2829,7558,1526,1272,3652, # 4934
4142,1686,1794, 416,2556,1902,1953,1803,7559,3773,2785,3774,1159,2316,7560,2867, # 4950 4142,1686,1794, 416,2556,1902,1953,1803,7559,3773,2785,3774,1159,2316,7560,2867, # 4950
4405,1610,1584,3036,2419,2754, 443,3269,1163,3136,7561,7562,3926,7563,4143,2499, # 4966 4405,1610,1584,3036,2419,2754, 443,3269,1163,3136,7561,7562,3926,7563,4143,2499, # 4966
3037,4406,3927,3137,2103,1647,3545,2010,1872,4144,7564,4145, 431,3438,7565, 250, # 4982 3037,4406,3927,3137,2103,1647,3545,2010,1872,4144,7564,4145, 431,3438,7565, 250, # 4982
97, 81,4146,7566,1648,1850,1558, 160, 848,7567, 866, 740,1694,7568,2201,2830, # 4998 97, 81,4146,7566,1648,1850,1558, 160, 848,7567, 866, 740,1694,7568,2201,2830, # 4998
3195,4147,4407,3653,1687, 950,2472, 426, 469,3196,3654,3655,3928,7569,7570,1188, # 5014 3195,4147,4407,3653,1687, 950,2472, 426, 469,3196,3654,3655,3928,7569,7570,1188, # 5014
424,1995, 861,3546,4148,3775,2202,2685, 168,1235,3547,4149,7571,2086,1674,4408, # 5030 424,1995, 861,3546,4148,3775,2202,2685, 168,1235,3547,4149,7571,2086,1674,4408, # 5030
3337,3270, 220,2557,1009,7572,3776, 670,2992, 332,1208, 717,7573,7574,3548,2447, # 5046 3337,3270, 220,2557,1009,7572,3776, 670,2992, 332,1208, 717,7573,7574,3548,2447, # 5046
3929,3338,7575, 513,7576,1209,2868,3339,3138,4409,1080,7577,7578,7579,7580,2527, # 5062 3929,3338,7575, 513,7576,1209,2868,3339,3138,4409,1080,7577,7578,7579,7580,2527, # 5062
3656,3549, 815,1587,3930,3931,7581,3550,3439,3777,1254,4410,1328,3038,1390,3932, # 5078 3656,3549, 815,1587,3930,3931,7581,3550,3439,3777,1254,4410,1328,3038,1390,3932, # 5078
1741,3933,3778,3934,7582, 236,3779,2448,3271,7583,7584,3657,3780,1273,3781,4411, # 5094 1741,3933,3778,3934,7582, 236,3779,2448,3271,7583,7584,3657,3780,1273,3781,4411, # 5094
7585, 308,7586,4412, 245,4413,1851,2473,1307,2575, 430, 715,2136,2449,7587, 270, # 5110 7585, 308,7586,4412, 245,4413,1851,2473,1307,2575, 430, 715,2136,2449,7587, 270, # 5110
199,2869,3935,7588,3551,2718,1753, 761,1754, 725,1661,1840,4414,3440,3658,7589, # 5126 199,2869,3935,7588,3551,2718,1753, 761,1754, 725,1661,1840,4414,3440,3658,7589, # 5126
7590, 587, 14,3272, 227,2598, 326, 480,2265, 943,2755,3552, 291, 650,1883,7591, # 5142 7590, 587, 14,3272, 227,2598, 326, 480,2265, 943,2755,3552, 291, 650,1883,7591, # 5142
1702,1226, 102,1547, 62,3441, 904,4415,3442,1164,4150,7592,7593,1224,1548,2756, # 5158 1702,1226, 102,1547, 62,3441, 904,4415,3442,1164,4150,7592,7593,1224,1548,2756, # 5158
391, 498,1493,7594,1386,1419,7595,2055,1177,4416, 813, 880,1081,2363, 566,1145, # 5174 391, 498,1493,7594,1386,1419,7595,2055,1177,4416, 813, 880,1081,2363, 566,1145, # 5174
4417,2286,1001,1035,2558,2599,2238, 394,1286,7596,7597,2068,7598, 86,1494,1730, # 5190 4417,2286,1001,1035,2558,2599,2238, 394,1286,7596,7597,2068,7598, 86,1494,1730, # 5190
3936, 491,1588, 745, 897,2948, 843,3340,3937,2757,2870,3273,1768, 998,2217,2069, # 5206 3936, 491,1588, 745, 897,2948, 843,3340,3937,2757,2870,3273,1768, 998,2217,2069, # 5206
397,1826,1195,1969,3659,2993,3341, 284,7599,3782,2500,2137,2119,1903,7600,3938, # 5222 397,1826,1195,1969,3659,2993,3341, 284,7599,3782,2500,2137,2119,1903,7600,3938, # 5222
2150,3939,4151,1036,3443,1904, 114,2559,4152, 209,1527,7601,7602,2949,2831,2625, # 5238 2150,3939,4151,1036,3443,1904, 114,2559,4152, 209,1527,7601,7602,2949,2831,2625, # 5238
2385,2719,3139, 812,2560,7603,3274,7604,1559, 737,1884,3660,1210, 885, 28,2686, # 5254 2385,2719,3139, 812,2560,7603,3274,7604,1559, 737,1884,3660,1210, 885, 28,2686, # 5254
3553,3783,7605,4153,1004,1779,4418,7606, 346,1981,2218,2687,4419,3784,1742, 797, # 5270 3553,3783,7605,4153,1004,1779,4418,7606, 346,1981,2218,2687,4419,3784,1742, 797, # 5270
1642,3940,1933,1072,1384,2151, 896,3941,3275,3661,3197,2871,3554,7607,2561,1958, # 5286 1642,3940,1933,1072,1384,2151, 896,3941,3275,3661,3197,2871,3554,7607,2561,1958, # 5286
4420,2450,1785,7608,7609,7610,3942,4154,1005,1308,3662,4155,2720,4421,4422,1528, # 5302 4420,2450,1785,7608,7609,7610,3942,4154,1005,1308,3662,4155,2720,4421,4422,1528, # 5302
2600, 161,1178,4156,1982, 987,4423,1101,4157, 631,3943,1157,3198,2420,1343,1241, # 5318 2600, 161,1178,4156,1982, 987,4423,1101,4157, 631,3943,1157,3198,2420,1343,1241, # 5318
1016,2239,2562, 372, 877,2339,2501,1160, 555,1934, 911,3944,7611, 466,1170, 169, # 5334 1016,2239,2562, 372, 877,2339,2501,1160, 555,1934, 911,3944,7611, 466,1170, 169, # 5334
1051,2907,2688,3663,2474,2994,1182,2011,2563,1251,2626,7612, 992,2340,3444,1540, # 5350 1051,2907,2688,3663,2474,2994,1182,2011,2563,1251,2626,7612, 992,2340,3444,1540, # 5350
2721,1201,2070,2401,1996,2475,7613,4424, 528,1922,2188,1503,1873,1570,2364,3342, # 5366 2721,1201,2070,2401,1996,2475,7613,4424, 528,1922,2188,1503,1873,1570,2364,3342, # 5366
3276,7614, 557,1073,7615,1827,3445,2087,2266,3140,3039,3084, 767,3085,2786,4425, # 5382 3276,7614, 557,1073,7615,1827,3445,2087,2266,3140,3039,3084, 767,3085,2786,4425, # 5382
1006,4158,4426,2341,1267,2176,3664,3199, 778,3945,3200,2722,1597,2657,7616,4427, # 5398 1006,4158,4426,2341,1267,2176,3664,3199, 778,3945,3200,2722,1597,2657,7616,4427, # 5398
7617,3446,7618,7619,7620,3277,2689,1433,3278, 131, 95,1504,3946, 723,4159,3141, # 5414 7617,3446,7618,7619,7620,3277,2689,1433,3278, 131, 95,1504,3946, 723,4159,3141, # 5414
1841,3555,2758,2189,3947,2027,2104,3665,7621,2995,3948,1218,7622,3343,3201,3949, # 5430 1841,3555,2758,2189,3947,2027,2104,3665,7621,2995,3948,1218,7622,3343,3201,3949, # 5430
4160,2576, 248,1634,3785, 912,7623,2832,3666,3040,3786, 654, 53,7624,2996,7625, # 5446 4160,2576, 248,1634,3785, 912,7623,2832,3666,3040,3786, 654, 53,7624,2996,7625, # 5446
1688,4428, 777,3447,1032,3950,1425,7626, 191, 820,2120,2833, 971,4429, 931,3202, # 5462 1688,4428, 777,3447,1032,3950,1425,7626, 191, 820,2120,2833, 971,4429, 931,3202, # 5462
135, 664, 783,3787,1997, 772,2908,1935,3951,3788,4430,2909,3203, 282,2723, 640, # 5478 135, 664, 783,3787,1997, 772,2908,1935,3951,3788,4430,2909,3203, 282,2723, 640, # 5478
1372,3448,1127, 922, 325,3344,7627,7628, 711,2044,7629,7630,3952,2219,2787,1936, # 5494 1372,3448,1127, 922, 325,3344,7627,7628, 711,2044,7629,7630,3952,2219,2787,1936, # 5494
3953,3345,2220,2251,3789,2300,7631,4431,3790,1258,3279,3954,3204,2138,2950,3955, # 5510 3953,3345,2220,2251,3789,2300,7631,4431,3790,1258,3279,3954,3204,2138,2950,3955, # 5510
3956,7632,2221, 258,3205,4432, 101,1227,7633,3280,1755,7634,1391,3281,7635,2910, # 5526 3956,7632,2221, 258,3205,4432, 101,1227,7633,3280,1755,7634,1391,3281,7635,2910, # 5526
2056, 893,7636,7637,7638,1402,4161,2342,7639,7640,3206,3556,7641,7642, 878,1325, # 5542 2056, 893,7636,7637,7638,1402,4161,2342,7639,7640,3206,3556,7641,7642, 878,1325, # 5542
1780,2788,4433, 259,1385,2577, 744,1183,2267,4434,7643,3957,2502,7644, 684,1024, # 5558 1780,2788,4433, 259,1385,2577, 744,1183,2267,4434,7643,3957,2502,7644, 684,1024, # 5558
4162,7645, 472,3557,3449,1165,3282,3958,3959, 322,2152, 881, 455,1695,1152,1340, # 5574 4162,7645, 472,3557,3449,1165,3282,3958,3959, 322,2152, 881, 455,1695,1152,1340, # 5574
660, 554,2153,4435,1058,4436,4163, 830,1065,3346,3960,4437,1923,7646,1703,1918, # 5590 660, 554,2153,4435,1058,4436,4163, 830,1065,3346,3960,4437,1923,7646,1703,1918, # 5590
7647, 932,2268, 122,7648,4438, 947, 677,7649,3791,2627, 297,1905,1924,2269,4439, # 5606 7647, 932,2268, 122,7648,4438, 947, 677,7649,3791,2627, 297,1905,1924,2269,4439, # 5606
2317,3283,7650,7651,4164,7652,4165, 84,4166, 112, 989,7653, 547,1059,3961, 701, # 5622 2317,3283,7650,7651,4164,7652,4165, 84,4166, 112, 989,7653, 547,1059,3961, 701, # 5622
3558,1019,7654,4167,7655,3450, 942, 639, 457,2301,2451, 993,2951, 407, 851, 494, # 5638 3558,1019,7654,4167,7655,3450, 942, 639, 457,2301,2451, 993,2951, 407, 851, 494, # 5638
4440,3347, 927,7656,1237,7657,2421,3348, 573,4168, 680, 921,2911,1279,1874, 285, # 5654 4440,3347, 927,7656,1237,7657,2421,3348, 573,4168, 680, 921,2911,1279,1874, 285, # 5654
790,1448,1983, 719,2167,7658,7659,4441,3962,3963,1649,7660,1541, 563,7661,1077, # 5670 790,1448,1983, 719,2167,7658,7659,4441,3962,3963,1649,7660,1541, 563,7661,1077, # 5670
7662,3349,3041,3451, 511,2997,3964,3965,3667,3966,1268,2564,3350,3207,4442,4443, # 5686 7662,3349,3041,3451, 511,2997,3964,3965,3667,3966,1268,2564,3350,3207,4442,4443, # 5686
7663, 535,1048,1276,1189,2912,2028,3142,1438,1373,2834,2952,1134,2012,7664,4169, # 5702 7663, 535,1048,1276,1189,2912,2028,3142,1438,1373,2834,2952,1134,2012,7664,4169, # 5702
1238,2578,3086,1259,7665, 700,7666,2953,3143,3668,4170,7667,4171,1146,1875,1906, # 5718 1238,2578,3086,1259,7665, 700,7666,2953,3143,3668,4170,7667,4171,1146,1875,1906, # 5718
4444,2601,3967, 781,2422, 132,1589, 203, 147, 273,2789,2402, 898,1786,2154,3968, # 5734 4444,2601,3967, 781,2422, 132,1589, 203, 147, 273,2789,2402, 898,1786,2154,3968, # 5734
3969,7668,3792,2790,7669,7670,4445,4446,7671,3208,7672,1635,3793, 965,7673,1804, # 5750 3969,7668,3792,2790,7669,7670,4445,4446,7671,3208,7672,1635,3793, 965,7673,1804, # 5750
2690,1516,3559,1121,1082,1329,3284,3970,1449,3794, 65,1128,2835,2913,2759,1590, # 5766 2690,1516,3559,1121,1082,1329,3284,3970,1449,3794, 65,1128,2835,2913,2759,1590, # 5766
3795,7674,7675, 12,2658, 45, 976,2579,3144,4447, 517,2528,1013,1037,3209,7676, # 5782 3795,7674,7675, 12,2658, 45, 976,2579,3144,4447, 517,2528,1013,1037,3209,7676, # 5782
3796,2836,7677,3797,7678,3452,7679,2602, 614,1998,2318,3798,3087,2724,2628,7680, # 5798 3796,2836,7677,3797,7678,3452,7679,2602, 614,1998,2318,3798,3087,2724,2628,7680, # 5798
2580,4172, 599,1269,7681,1810,3669,7682,2691,3088, 759,1060, 489,1805,3351,3285, # 5814 2580,4172, 599,1269,7681,1810,3669,7682,2691,3088, 759,1060, 489,1805,3351,3285, # 5814
1358,7683,7684,2386,1387,1215,2629,2252, 490,7685,7686,4173,1759,2387,2343,7687, # 5830 1358,7683,7684,2386,1387,1215,2629,2252, 490,7685,7686,4173,1759,2387,2343,7687, # 5830
4448,3799,1907,3971,2630,1806,3210,4449,3453,3286,2760,2344, 874,7688,7689,3454, # 5846 4448,3799,1907,3971,2630,1806,3210,4449,3453,3286,2760,2344, 874,7688,7689,3454, # 5846
3670,1858, 91,2914,3671,3042,3800,4450,7690,3145,3972,2659,7691,3455,1202,1403, # 5862 3670,1858, 91,2914,3671,3042,3800,4450,7690,3145,3972,2659,7691,3455,1202,1403, # 5862
3801,2954,2529,1517,2503,4451,3456,2504,7692,4452,7693,2692,1885,1495,1731,3973, # 5878 3801,2954,2529,1517,2503,4451,3456,2504,7692,4452,7693,2692,1885,1495,1731,3973, # 5878
2365,4453,7694,2029,7695,7696,3974,2693,1216, 237,2581,4174,2319,3975,3802,4454, # 5894 2365,4453,7694,2029,7695,7696,3974,2693,1216, 237,2581,4174,2319,3975,3802,4454, # 5894
4455,2694,3560,3457, 445,4456,7697,7698,7699,7700,2761, 61,3976,3672,1822,3977, # 5910 4455,2694,3560,3457, 445,4456,7697,7698,7699,7700,2761, 61,3976,3672,1822,3977, # 5910
7701, 687,2045, 935, 925, 405,2660, 703,1096,1859,2725,4457,3978,1876,1367,2695, # 5926 7701, 687,2045, 935, 925, 405,2660, 703,1096,1859,2725,4457,3978,1876,1367,2695, # 5926
3352, 918,2105,1781,2476, 334,3287,1611,1093,4458, 564,3146,3458,3673,3353, 945, # 5942 3352, 918,2105,1781,2476, 334,3287,1611,1093,4458, 564,3146,3458,3673,3353, 945, # 5942
2631,2057,4459,7702,1925, 872,4175,7703,3459,2696,3089, 349,4176,3674,3979,4460, # 5958 2631,2057,4459,7702,1925, 872,4175,7703,3459,2696,3089, 349,4176,3674,3979,4460, # 5958
3803,4177,3675,2155,3980,4461,4462,4178,4463,2403,2046, 782,3981, 400, 251,4179, # 5974 3803,4177,3675,2155,3980,4461,4462,4178,4463,2403,2046, 782,3981, 400, 251,4179, # 5974
1624,7704,7705, 277,3676, 299,1265, 476,1191,3804,2121,4180,4181,1109, 205,7706, # 5990 1624,7704,7705, 277,3676, 299,1265, 476,1191,3804,2121,4180,4181,1109, 205,7706, # 5990
2582,1000,2156,3561,1860,7707,7708,7709,4464,7710,4465,2565, 107,2477,2157,3982, # 6006 2582,1000,2156,3561,1860,7707,7708,7709,4464,7710,4465,2565, 107,2477,2157,3982, # 6006
3460,3147,7711,1533, 541,1301, 158, 753,4182,2872,3562,7712,1696, 370,1088,4183, # 6022 3460,3147,7711,1533, 541,1301, 158, 753,4182,2872,3562,7712,1696, 370,1088,4183, # 6022
4466,3563, 579, 327, 440, 162,2240, 269,1937,1374,3461, 968,3043, 56,1396,3090, # 6038 4466,3563, 579, 327, 440, 162,2240, 269,1937,1374,3461, 968,3043, 56,1396,3090, # 6038
2106,3288,3354,7713,1926,2158,4467,2998,7714,3564,7715,7716,3677,4468,2478,7717, # 6054 2106,3288,3354,7713,1926,2158,4467,2998,7714,3564,7715,7716,3677,4468,2478,7717, # 6054
2791,7718,1650,4469,7719,2603,7720,7721,3983,2661,3355,1149,3356,3984,3805,3985, # 6070 2791,7718,1650,4469,7719,2603,7720,7721,3983,2661,3355,1149,3356,3984,3805,3985, # 6070
7722,1076, 49,7723, 951,3211,3289,3290, 450,2837, 920,7724,1811,2792,2366,4184, # 6086 7722,1076, 49,7723, 951,3211,3289,3290, 450,2837, 920,7724,1811,2792,2366,4184, # 6086
1908,1138,2367,3806,3462,7725,3212,4470,1909,1147,1518,2423,4471,3807,7726,4472, # 6102 1908,1138,2367,3806,3462,7725,3212,4470,1909,1147,1518,2423,4471,3807,7726,4472, # 6102
2388,2604, 260,1795,3213,7727,7728,3808,3291, 708,7729,3565,1704,7730,3566,1351, # 6118 2388,2604, 260,1795,3213,7727,7728,3808,3291, 708,7729,3565,1704,7730,3566,1351, # 6118
1618,3357,2999,1886, 944,4185,3358,4186,3044,3359,4187,7731,3678, 422, 413,1714, # 6134 1618,3357,2999,1886, 944,4185,3358,4186,3044,3359,4187,7731,3678, 422, 413,1714, # 6134
3292, 500,2058,2345,4188,2479,7732,1344,1910, 954,7733,1668,7734,7735,3986,2404, # 6150 3292, 500,2058,2345,4188,2479,7732,1344,1910, 954,7733,1668,7734,7735,3986,2404, # 6150
4189,3567,3809,4190,7736,2302,1318,2505,3091, 133,3092,2873,4473, 629, 31,2838, # 6166 4189,3567,3809,4190,7736,2302,1318,2505,3091, 133,3092,2873,4473, 629, 31,2838, # 6166
2697,3810,4474, 850, 949,4475,3987,2955,1732,2088,4191,1496,1852,7737,3988, 620, # 6182 2697,3810,4474, 850, 949,4475,3987,2955,1732,2088,4191,1496,1852,7737,3988, 620, # 6182
3214, 981,1242,3679,3360,1619,3680,1643,3293,2139,2452,1970,1719,3463,2168,7738, # 6198 3214, 981,1242,3679,3360,1619,3680,1643,3293,2139,2452,1970,1719,3463,2168,7738, # 6198
3215,7739,7740,3361,1828,7741,1277,4476,1565,2047,7742,1636,3568,3093,7743, 869, # 6214 3215,7739,7740,3361,1828,7741,1277,4476,1565,2047,7742,1636,3568,3093,7743, 869, # 6214
2839, 655,3811,3812,3094,3989,3000,3813,1310,3569,4477,7744,7745,7746,1733, 558, # 6230 2839, 655,3811,3812,3094,3989,3000,3813,1310,3569,4477,7744,7745,7746,1733, 558, # 6230
4478,3681, 335,1549,3045,1756,4192,3682,1945,3464,1829,1291,1192, 470,2726,2107, # 6246 4478,3681, 335,1549,3045,1756,4192,3682,1945,3464,1829,1291,1192, 470,2726,2107, # 6246
2793, 913,1054,3990,7747,1027,7748,3046,3991,4479, 982,2662,3362,3148,3465,3216, # 6262 2793, 913,1054,3990,7747,1027,7748,3046,3991,4479, 982,2662,3362,3148,3465,3216, # 6262
3217,1946,2794,7749, 571,4480,7750,1830,7751,3570,2583,1523,2424,7752,2089, 984, # 6278 3217,1946,2794,7749, 571,4480,7750,1830,7751,3570,2583,1523,2424,7752,2089, 984, # 6278
4481,3683,1959,7753,3684, 852, 923,2795,3466,3685, 969,1519, 999,2048,2320,1705, # 6294 4481,3683,1959,7753,3684, 852, 923,2795,3466,3685, 969,1519, 999,2048,2320,1705, # 6294
7754,3095, 615,1662, 151, 597,3992,2405,2321,1049, 275,4482,3686,4193, 568,3687, # 6310 7754,3095, 615,1662, 151, 597,3992,2405,2321,1049, 275,4482,3686,4193, 568,3687, # 6310
3571,2480,4194,3688,7755,2425,2270, 409,3218,7756,1566,2874,3467,1002, 769,2840, # 6326 3571,2480,4194,3688,7755,2425,2270, 409,3218,7756,1566,2874,3467,1002, 769,2840, # 6326
194,2090,3149,3689,2222,3294,4195, 628,1505,7757,7758,1763,2177,3001,3993, 521, # 6342 194,2090,3149,3689,2222,3294,4195, 628,1505,7757,7758,1763,2177,3001,3993, 521, # 6342
1161,2584,1787,2203,2406,4483,3994,1625,4196,4197, 412, 42,3096, 464,7759,2632, # 6358 1161,2584,1787,2203,2406,4483,3994,1625,4196,4197, 412, 42,3096, 464,7759,2632, # 6358
4484,3363,1760,1571,2875,3468,2530,1219,2204,3814,2633,2140,2368,4485,4486,3295, # 6374 4484,3363,1760,1571,2875,3468,2530,1219,2204,3814,2633,2140,2368,4485,4486,3295, # 6374
1651,3364,3572,7760,7761,3573,2481,3469,7762,3690,7763,7764,2271,2091, 460,7765, # 6390 1651,3364,3572,7760,7761,3573,2481,3469,7762,3690,7763,7764,2271,2091, 460,7765, # 6390
4487,7766,3002, 962, 588,3574, 289,3219,2634,1116, 52,7767,3047,1796,7768,7769, # 6406 4487,7766,3002, 962, 588,3574, 289,3219,2634,1116, 52,7767,3047,1796,7768,7769, # 6406
7770,1467,7771,1598,1143,3691,4198,1984,1734,1067,4488,1280,3365, 465,4489,1572, # 6422 7770,1467,7771,1598,1143,3691,4198,1984,1734,1067,4488,1280,3365, 465,4489,1572, # 6422
510,7772,1927,2241,1812,1644,3575,7773,4490,3692,7774,7775,2663,1573,1534,7776, # 6438 510,7772,1927,2241,1812,1644,3575,7773,4490,3692,7774,7775,2663,1573,1534,7776, # 6438
7777,4199, 536,1807,1761,3470,3815,3150,2635,7778,7779,7780,4491,3471,2915,1911, # 6454 7777,4199, 536,1807,1761,3470,3815,3150,2635,7778,7779,7780,4491,3471,2915,1911, # 6454
2796,7781,3296,1122, 377,3220,7782, 360,7783,7784,4200,1529, 551,7785,2059,3693, # 6470 2796,7781,3296,1122, 377,3220,7782, 360,7783,7784,4200,1529, 551,7785,2059,3693, # 6470
1769,2426,7786,2916,4201,3297,3097,2322,2108,2030,4492,1404, 136,1468,1479, 672, # 6486 1769,2426,7786,2916,4201,3297,3097,2322,2108,2030,4492,1404, 136,1468,1479, 672, # 6486
1171,3221,2303, 271,3151,7787,2762,7788,2049, 678,2727, 865,1947,4493,7789,2013, # 6502 1171,3221,2303, 271,3151,7787,2762,7788,2049, 678,2727, 865,1947,4493,7789,2013, # 6502
3995,2956,7790,2728,2223,1397,3048,3694,4494,4495,1735,2917,3366,3576,7791,3816, # 6518 3995,2956,7790,2728,2223,1397,3048,3694,4494,4495,1735,2917,3366,3576,7791,3816, # 6518
509,2841,2453,2876,3817,7792,7793,3152,3153,4496,4202,2531,4497,2304,1166,1010, # 6534 509,2841,2453,2876,3817,7792,7793,3152,3153,4496,4202,2531,4497,2304,1166,1010, # 6534
552, 681,1887,7794,7795,2957,2958,3996,1287,1596,1861,3154, 358, 453, 736, 175, # 6550 552, 681,1887,7794,7795,2957,2958,3996,1287,1596,1861,3154, 358, 453, 736, 175, # 6550
478,1117, 905,1167,1097,7796,1853,1530,7797,1706,7798,2178,3472,2287,3695,3473, # 6566 478,1117, 905,1167,1097,7796,1853,1530,7797,1706,7798,2178,3472,2287,3695,3473, # 6566
3577,4203,2092,4204,7799,3367,1193,2482,4205,1458,2190,2205,1862,1888,1421,3298, # 6582 3577,4203,2092,4204,7799,3367,1193,2482,4205,1458,2190,2205,1862,1888,1421,3298, # 6582
2918,3049,2179,3474, 595,2122,7800,3997,7801,7802,4206,1707,2636, 223,3696,1359, # 6598 2918,3049,2179,3474, 595,2122,7800,3997,7801,7802,4206,1707,2636, 223,3696,1359, # 6598
751,3098, 183,3475,7803,2797,3003, 419,2369, 633, 704,3818,2389, 241,7804,7805, # 6614 751,3098, 183,3475,7803,2797,3003, 419,2369, 633, 704,3818,2389, 241,7804,7805, # 6614
7806, 838,3004,3697,2272,2763,2454,3819,1938,2050,3998,1309,3099,2242,1181,7807, # 6630 7806, 838,3004,3697,2272,2763,2454,3819,1938,2050,3998,1309,3099,2242,1181,7807, # 6630
1136,2206,3820,2370,1446,4207,2305,4498,7808,7809,4208,1055,2605, 484,3698,7810, # 6646 1136,2206,3820,2370,1446,4207,2305,4498,7808,7809,4208,1055,2605, 484,3698,7810, # 6646
3999, 625,4209,2273,3368,1499,4210,4000,7811,4001,4211,3222,2274,2275,3476,7812, # 6662 3999, 625,4209,2273,3368,1499,4210,4000,7811,4001,4211,3222,2274,2275,3476,7812, # 6662
7813,2764, 808,2606,3699,3369,4002,4212,3100,2532, 526,3370,3821,4213, 955,7814, # 6678 7813,2764, 808,2606,3699,3369,4002,4212,3100,2532, 526,3370,3821,4213, 955,7814, # 6678
1620,4214,2637,2427,7815,1429,3700,1669,1831, 994, 928,7816,3578,1260,7817,7818, # 6694 1620,4214,2637,2427,7815,1429,3700,1669,1831, 994, 928,7816,3578,1260,7817,7818, # 6694
7819,1948,2288, 741,2919,1626,4215,2729,2455, 867,1184, 362,3371,1392,7820,7821, # 6710 7819,1948,2288, 741,2919,1626,4215,2729,2455, 867,1184, 362,3371,1392,7820,7821, # 6710
4003,4216,1770,1736,3223,2920,4499,4500,1928,2698,1459,1158,7822,3050,3372,2877, # 6726 4003,4216,1770,1736,3223,2920,4499,4500,1928,2698,1459,1158,7822,3050,3372,2877, # 6726
1292,1929,2506,2842,3701,1985,1187,2071,2014,2607,4217,7823,2566,2507,2169,3702, # 6742 1292,1929,2506,2842,3701,1985,1187,2071,2014,2607,4217,7823,2566,2507,2169,3702, # 6742
2483,3299,7824,3703,4501,7825,7826, 666,1003,3005,1022,3579,4218,7827,4502,1813, # 6758 2483,3299,7824,3703,4501,7825,7826, 666,1003,3005,1022,3579,4218,7827,4502,1813, # 6758
2253, 574,3822,1603, 295,1535, 705,3823,4219, 283, 858, 417,7828,7829,3224,4503, # 6774 2253, 574,3822,1603, 295,1535, 705,3823,4219, 283, 858, 417,7828,7829,3224,4503, # 6774
4504,3051,1220,1889,1046,2276,2456,4004,1393,1599, 689,2567, 388,4220,7830,2484, # 6790 4504,3051,1220,1889,1046,2276,2456,4004,1393,1599, 689,2567, 388,4220,7830,2484, # 6790
802,7831,2798,3824,2060,1405,2254,7832,4505,3825,2109,1052,1345,3225,1585,7833, # 6806 802,7831,2798,3824,2060,1405,2254,7832,4505,3825,2109,1052,1345,3225,1585,7833, # 6806
809,7834,7835,7836, 575,2730,3477, 956,1552,1469,1144,2323,7837,2324,1560,2457, # 6822 809,7834,7835,7836, 575,2730,3477, 956,1552,1469,1144,2323,7837,2324,1560,2457, # 6822
3580,3226,4005, 616,2207,3155,2180,2289,7838,1832,7839,3478,4506,7840,1319,3704, # 6838 3580,3226,4005, 616,2207,3155,2180,2289,7838,1832,7839,3478,4506,7840,1319,3704, # 6838
3705,1211,3581,1023,3227,1293,2799,7841,7842,7843,3826, 607,2306,3827, 762,2878, # 6854 3705,1211,3581,1023,3227,1293,2799,7841,7842,7843,3826, 607,2306,3827, 762,2878, # 6854
1439,4221,1360,7844,1485,3052,7845,4507,1038,4222,1450,2061,2638,4223,1379,4508, # 6870 1439,4221,1360,7844,1485,3052,7845,4507,1038,4222,1450,2061,2638,4223,1379,4508, # 6870
2585,7846,7847,4224,1352,1414,2325,2921,1172,7848,7849,3828,3829,7850,1797,1451, # 6886 2585,7846,7847,4224,1352,1414,2325,2921,1172,7848,7849,3828,3829,7850,1797,1451, # 6886
7851,7852,7853,7854,2922,4006,4007,2485,2346, 411,4008,4009,3582,3300,3101,4509, # 6902 7851,7852,7853,7854,2922,4006,4007,2485,2346, 411,4008,4009,3582,3300,3101,4509, # 6902
1561,2664,1452,4010,1375,7855,7856, 47,2959, 316,7857,1406,1591,2923,3156,7858, # 6918 1561,2664,1452,4010,1375,7855,7856, 47,2959, 316,7857,1406,1591,2923,3156,7858, # 6918
1025,2141,3102,3157, 354,2731, 884,2224,4225,2407, 508,3706, 726,3583, 996,2428, # 6934 1025,2141,3102,3157, 354,2731, 884,2224,4225,2407, 508,3706, 726,3583, 996,2428, # 6934
3584, 729,7859, 392,2191,1453,4011,4510,3707,7860,7861,2458,3585,2608,1675,2800, # 6950 3584, 729,7859, 392,2191,1453,4011,4510,3707,7860,7861,2458,3585,2608,1675,2800, # 6950
919,2347,2960,2348,1270,4511,4012, 73,7862,7863, 647,7864,3228,2843,2255,1550, # 6966 919,2347,2960,2348,1270,4511,4012, 73,7862,7863, 647,7864,3228,2843,2255,1550, # 6966
1346,3006,7865,1332, 883,3479,7866,7867,7868,7869,3301,2765,7870,1212, 831,1347, # 6982 1346,3006,7865,1332, 883,3479,7866,7867,7868,7869,3301,2765,7870,1212, 831,1347, # 6982
4226,4512,2326,3830,1863,3053, 720,3831,4513,4514,3832,7871,4227,7872,7873,4515, # 6998 4226,4512,2326,3830,1863,3053, 720,3831,4513,4514,3832,7871,4227,7872,7873,4515, # 6998
7874,7875,1798,4516,3708,2609,4517,3586,1645,2371,7876,7877,2924, 669,2208,2665, # 7014 7874,7875,1798,4516,3708,2609,4517,3586,1645,2371,7876,7877,2924, 669,2208,2665, # 7014
2429,7878,2879,7879,7880,1028,3229,7881,4228,2408,7882,2256,1353,7883,7884,4518, # 7030 2429,7878,2879,7879,7880,1028,3229,7881,4228,2408,7882,2256,1353,7883,7884,4518, # 7030
3158, 518,7885,4013,7886,4229,1960,7887,2142,4230,7888,7889,3007,2349,2350,3833, # 7046 3158, 518,7885,4013,7886,4229,1960,7887,2142,4230,7888,7889,3007,2349,2350,3833, # 7046
516,1833,1454,4014,2699,4231,4519,2225,2610,1971,1129,3587,7890,2766,7891,2961, # 7062 516,1833,1454,4014,2699,4231,4519,2225,2610,1971,1129,3587,7890,2766,7891,2961, # 7062
1422, 577,1470,3008,1524,3373,7892,7893, 432,4232,3054,3480,7894,2586,1455,2508, # 7078 1422, 577,1470,3008,1524,3373,7892,7893, 432,4232,3054,3480,7894,2586,1455,2508, # 7078
2226,1972,1175,7895,1020,2732,4015,3481,4520,7896,2733,7897,1743,1361,3055,3482, # 7094 2226,1972,1175,7895,1020,2732,4015,3481,4520,7896,2733,7897,1743,1361,3055,3482, # 7094
2639,4016,4233,4521,2290, 895, 924,4234,2170, 331,2243,3056, 166,1627,3057,1098, # 7110 2639,4016,4233,4521,2290, 895, 924,4234,2170, 331,2243,3056, 166,1627,3057,1098, # 7110
7898,1232,2880,2227,3374,4522, 657, 403,1196,2372, 542,3709,3375,1600,4235,3483, # 7126 7898,1232,2880,2227,3374,4522, 657, 403,1196,2372, 542,3709,3375,1600,4235,3483, # 7126
7899,4523,2767,3230, 576, 530,1362,7900,4524,2533,2666,3710,4017,7901, 842,3834, # 7142 7899,4523,2767,3230, 576, 530,1362,7900,4524,2533,2666,3710,4017,7901, 842,3834, # 7142
7902,2801,2031,1014,4018, 213,2700,3376, 665, 621,4236,7903,3711,2925,2430,7904, # 7158 7902,2801,2031,1014,4018, 213,2700,3376, 665, 621,4236,7903,3711,2925,2430,7904, # 7158
2431,3302,3588,3377,7905,4237,2534,4238,4525,3589,1682,4239,3484,1380,7906, 724, # 7174 2431,3302,3588,3377,7905,4237,2534,4238,4525,3589,1682,4239,3484,1380,7906, 724, # 7174
2277, 600,1670,7907,1337,1233,4526,3103,2244,7908,1621,4527,7909, 651,4240,7910, # 7190 2277, 600,1670,7907,1337,1233,4526,3103,2244,7908,1621,4527,7909, 651,4240,7910, # 7190
1612,4241,2611,7911,2844,7912,2734,2307,3058,7913, 716,2459,3059, 174,1255,2701, # 7206 1612,4241,2611,7911,2844,7912,2734,2307,3058,7913, 716,2459,3059, 174,1255,2701, # 7206
4019,3590, 548,1320,1398, 728,4020,1574,7914,1890,1197,3060,4021,7915,3061,3062, # 7222 4019,3590, 548,1320,1398, 728,4020,1574,7914,1890,1197,3060,4021,7915,3061,3062, # 7222
3712,3591,3713, 747,7916, 635,4242,4528,7917,7918,7919,4243,7920,7921,4529,7922, # 7238 3712,3591,3713, 747,7916, 635,4242,4528,7917,7918,7919,4243,7920,7921,4529,7922, # 7238
3378,4530,2432, 451,7923,3714,2535,2072,4244,2735,4245,4022,7924,1764,4531,7925, # 7254 3378,4530,2432, 451,7923,3714,2535,2072,4244,2735,4245,4022,7924,1764,4531,7925, # 7254
4246, 350,7926,2278,2390,2486,7927,4247,4023,2245,1434,4024, 488,4532, 458,4248, # 7270 4246, 350,7926,2278,2390,2486,7927,4247,4023,2245,1434,4024, 488,4532, 458,4248, # 7270
4025,3715, 771,1330,2391,3835,2568,3159,2159,2409,1553,2667,3160,4249,7928,2487, # 7286 4025,3715, 771,1330,2391,3835,2568,3159,2159,2409,1553,2667,3160,4249,7928,2487, # 7286
2881,2612,1720,2702,4250,3379,4533,7929,2536,4251,7930,3231,4252,2768,7931,2015, # 7302 2881,2612,1720,2702,4250,3379,4533,7929,2536,4251,7930,3231,4252,2768,7931,2015, # 7302
2736,7932,1155,1017,3716,3836,7933,3303,2308, 201,1864,4253,1430,7934,4026,7935, # 7318 2736,7932,1155,1017,3716,3836,7933,3303,2308, 201,1864,4253,1430,7934,4026,7935, # 7318
7936,7937,7938,7939,4254,1604,7940, 414,1865, 371,2587,4534,4535,3485,2016,3104, # 7334 7936,7937,7938,7939,4254,1604,7940, 414,1865, 371,2587,4534,4535,3485,2016,3104, # 7334
4536,1708, 960,4255, 887, 389,2171,1536,1663,1721,7941,2228,4027,2351,2926,1580, # 7350 4536,1708, 960,4255, 887, 389,2171,1536,1663,1721,7941,2228,4027,2351,2926,1580, # 7350
7942,7943,7944,1744,7945,2537,4537,4538,7946,4539,7947,2073,7948,7949,3592,3380, # 7366 7942,7943,7944,1744,7945,2537,4537,4538,7946,4539,7947,2073,7948,7949,3592,3380, # 7366
2882,4256,7950,4257,2640,3381,2802, 673,2703,2460, 709,3486,4028,3593,4258,7951, # 7382 2882,4256,7950,4257,2640,3381,2802, 673,2703,2460, 709,3486,4028,3593,4258,7951, # 7382
1148, 502, 634,7952,7953,1204,4540,3594,1575,4541,2613,3717,7954,3718,3105, 948, # 7398 1148, 502, 634,7952,7953,1204,4540,3594,1575,4541,2613,3717,7954,3718,3105, 948, # 7398
3232, 121,1745,3837,1110,7955,4259,3063,2509,3009,4029,3719,1151,1771,3838,1488, # 7414 3232, 121,1745,3837,1110,7955,4259,3063,2509,3009,4029,3719,1151,1771,3838,1488, # 7414
4030,1986,7956,2433,3487,7957,7958,2093,7959,4260,3839,1213,1407,2803, 531,2737, # 7430 4030,1986,7956,2433,3487,7957,7958,2093,7959,4260,3839,1213,1407,2803, 531,2737, # 7430
2538,3233,1011,1537,7960,2769,4261,3106,1061,7961,3720,3721,1866,2883,7962,2017, # 7446 2538,3233,1011,1537,7960,2769,4261,3106,1061,7961,3720,3721,1866,2883,7962,2017, # 7446
120,4262,4263,2062,3595,3234,2309,3840,2668,3382,1954,4542,7963,7964,3488,1047, # 7462 120,4262,4263,2062,3595,3234,2309,3840,2668,3382,1954,4542,7963,7964,3488,1047, # 7462
2704,1266,7965,1368,4543,2845, 649,3383,3841,2539,2738,1102,2846,2669,7966,7967, # 7478 2704,1266,7965,1368,4543,2845, 649,3383,3841,2539,2738,1102,2846,2669,7966,7967, # 7478
1999,7968,1111,3596,2962,7969,2488,3842,3597,2804,1854,3384,3722,7970,7971,3385, # 7494 1999,7968,1111,3596,2962,7969,2488,3842,3597,2804,1854,3384,3722,7970,7971,3385, # 7494
2410,2884,3304,3235,3598,7972,2569,7973,3599,2805,4031,1460, 856,7974,3600,7975, # 7510 2410,2884,3304,3235,3598,7972,2569,7973,3599,2805,4031,1460, 856,7974,3600,7975, # 7510
2885,2963,7976,2886,3843,7977,4264, 632,2510, 875,3844,1697,3845,2291,7978,7979, # 7526 2885,2963,7976,2886,3843,7977,4264, 632,2510, 875,3844,1697,3845,2291,7978,7979, # 7526
4544,3010,1239, 580,4545,4265,7980, 914, 936,2074,1190,4032,1039,2123,7981,7982, # 7542 4544,3010,1239, 580,4545,4265,7980, 914, 936,2074,1190,4032,1039,2123,7981,7982, # 7542
7983,3386,1473,7984,1354,4266,3846,7985,2172,3064,4033, 915,3305,4267,4268,3306, # 7558 7983,3386,1473,7984,1354,4266,3846,7985,2172,3064,4033, 915,3305,4267,4268,3306, # 7558
1605,1834,7986,2739, 398,3601,4269,3847,4034, 328,1912,2847,4035,3848,1331,4270, # 7574 1605,1834,7986,2739, 398,3601,4269,3847,4034, 328,1912,2847,4035,3848,1331,4270, # 7574
3011, 937,4271,7987,3602,4036,4037,3387,2160,4546,3388, 524, 742, 538,3065,1012, # 7590 3011, 937,4271,7987,3602,4036,4037,3387,2160,4546,3388, 524, 742, 538,3065,1012, # 7590
7988,7989,3849,2461,7990, 658,1103, 225,3850,7991,7992,4547,7993,4548,7994,3236, # 7606 7988,7989,3849,2461,7990, 658,1103, 225,3850,7991,7992,4547,7993,4548,7994,3236, # 7606
1243,7995,4038, 963,2246,4549,7996,2705,3603,3161,7997,7998,2588,2327,7999,4550, # 7622 1243,7995,4038, 963,2246,4549,7996,2705,3603,3161,7997,7998,2588,2327,7999,4550, # 7622
8000,8001,8002,3489,3307, 957,3389,2540,2032,1930,2927,2462, 870,2018,3604,1746, # 7638 8000,8001,8002,3489,3307, 957,3389,2540,2032,1930,2927,2462, 870,2018,3604,1746, # 7638
2770,2771,2434,2463,8003,3851,8004,3723,3107,3724,3490,3390,3725,8005,1179,3066, # 7654 2770,2771,2434,2463,8003,3851,8004,3723,3107,3724,3490,3390,3725,8005,1179,3066, # 7654
8006,3162,2373,4272,3726,2541,3163,3108,2740,4039,8007,3391,1556,2542,2292, 977, # 7670 8006,3162,2373,4272,3726,2541,3163,3108,2740,4039,8007,3391,1556,2542,2292, 977, # 7670
2887,2033,4040,1205,3392,8008,1765,3393,3164,2124,1271,1689, 714,4551,3491,8009, # 7686 2887,2033,4040,1205,3392,8008,1765,3393,3164,2124,1271,1689, 714,4551,3491,8009, # 7686
2328,3852, 533,4273,3605,2181, 617,8010,2464,3308,3492,2310,8011,8012,3165,8013, # 7702 2328,3852, 533,4273,3605,2181, 617,8010,2464,3308,3492,2310,8011,8012,3165,8013, # 7702
8014,3853,1987, 618, 427,2641,3493,3394,8015,8016,1244,1690,8017,2806,4274,4552, # 7718 8014,3853,1987, 618, 427,2641,3493,3394,8015,8016,1244,1690,8017,2806,4274,4552, # 7718
8018,3494,8019,8020,2279,1576, 473,3606,4275,3395, 972,8021,3607,8022,3067,8023, # 7734 8018,3494,8019,8020,2279,1576, 473,3606,4275,3395, 972,8021,3607,8022,3067,8023, # 7734
8024,4553,4554,8025,3727,4041,4042,8026, 153,4555, 356,8027,1891,2888,4276,2143, # 7750 8024,4553,4554,8025,3727,4041,4042,8026, 153,4555, 356,8027,1891,2888,4276,2143, # 7750
408, 803,2352,8028,3854,8029,4277,1646,2570,2511,4556,4557,3855,8030,3856,4278, # 7766 408, 803,2352,8028,3854,8029,4277,1646,2570,2511,4556,4557,3855,8030,3856,4278, # 7766
8031,2411,3396, 752,8032,8033,1961,2964,8034, 746,3012,2465,8035,4279,3728, 698, # 7782 8031,2411,3396, 752,8032,8033,1961,2964,8034, 746,3012,2465,8035,4279,3728, 698, # 7782
4558,1892,4280,3608,2543,4559,3609,3857,8036,3166,3397,8037,1823,1302,4043,2706, # 7798 4558,1892,4280,3608,2543,4559,3609,3857,8036,3166,3397,8037,1823,1302,4043,2706, # 7798
3858,1973,4281,8038,4282,3167, 823,1303,1288,1236,2848,3495,4044,3398, 774,3859, # 7814 3858,1973,4281,8038,4282,3167, 823,1303,1288,1236,2848,3495,4044,3398, 774,3859, # 7814
8039,1581,4560,1304,2849,3860,4561,8040,2435,2161,1083,3237,4283,4045,4284, 344, # 7830 8039,1581,4560,1304,2849,3860,4561,8040,2435,2161,1083,3237,4283,4045,4284, 344, # 7830
1173, 288,2311, 454,1683,8041,8042,1461,4562,4046,2589,8043,8044,4563, 985, 894, # 7846 1173, 288,2311, 454,1683,8041,8042,1461,4562,4046,2589,8043,8044,4563, 985, 894, # 7846
8045,3399,3168,8046,1913,2928,3729,1988,8047,2110,1974,8048,4047,8049,2571,1194, # 7862 8045,3399,3168,8046,1913,2928,3729,1988,8047,2110,1974,8048,4047,8049,2571,1194, # 7862
425,8050,4564,3169,1245,3730,4285,8051,8052,2850,8053, 636,4565,1855,3861, 760, # 7878 425,8050,4564,3169,1245,3730,4285,8051,8052,2850,8053, 636,4565,1855,3861, 760, # 7878
1799,8054,4286,2209,1508,4566,4048,1893,1684,2293,8055,8056,8057,4287,4288,2210, # 7894 1799,8054,4286,2209,1508,4566,4048,1893,1684,2293,8055,8056,8057,4287,4288,2210, # 7894
479,8058,8059, 832,8060,4049,2489,8061,2965,2490,3731, 990,3109, 627,1814,2642, # 7910 479,8058,8059, 832,8060,4049,2489,8061,2965,2490,3731, 990,3109, 627,1814,2642, # 7910
4289,1582,4290,2125,2111,3496,4567,8062, 799,4291,3170,8063,4568,2112,1737,3013, # 7926 4289,1582,4290,2125,2111,3496,4567,8062, 799,4291,3170,8063,4568,2112,1737,3013, # 7926
1018, 543, 754,4292,3309,1676,4569,4570,4050,8064,1489,8065,3497,8066,2614,2889, # 7942 1018, 543, 754,4292,3309,1676,4569,4570,4050,8064,1489,8065,3497,8066,2614,2889, # 7942
4051,8067,8068,2966,8069,8070,8071,8072,3171,4571,4572,2182,1722,8073,3238,3239, # 7958 4051,8067,8068,2966,8069,8070,8071,8072,3171,4571,4572,2182,1722,8073,3238,3239, # 7958
1842,3610,1715, 481, 365,1975,1856,8074,8075,1962,2491,4573,8076,2126,3611,3240, # 7974 1842,3610,1715, 481, 365,1975,1856,8074,8075,1962,2491,4573,8076,2126,3611,3240, # 7974
433,1894,2063,2075,8077, 602,2741,8078,8079,8080,8081,8082,3014,1628,3400,8083, # 7990 433,1894,2063,2075,8077, 602,2741,8078,8079,8080,8081,8082,3014,1628,3400,8083, # 7990
3172,4574,4052,2890,4575,2512,8084,2544,2772,8085,8086,8087,3310,4576,2891,8088, # 8006 3172,4574,4052,2890,4575,2512,8084,2544,2772,8085,8086,8087,3310,4576,2891,8088, # 8006
4577,8089,2851,4578,4579,1221,2967,4053,2513,8090,8091,8092,1867,1989,8093,8094, # 8022 4577,8089,2851,4578,4579,1221,2967,4053,2513,8090,8091,8092,1867,1989,8093,8094, # 8022
8095,1895,8096,8097,4580,1896,4054, 318,8098,2094,4055,4293,8099,8100, 485,8101, # 8038 8095,1895,8096,8097,4580,1896,4054, 318,8098,2094,4055,4293,8099,8100, 485,8101, # 8038
938,3862, 553,2670, 116,8102,3863,3612,8103,3498,2671,2773,3401,3311,2807,8104, # 8054 938,3862, 553,2670, 116,8102,3863,3612,8103,3498,2671,2773,3401,3311,2807,8104, # 8054
3613,2929,4056,1747,2930,2968,8105,8106, 207,8107,8108,2672,4581,2514,8109,3015, # 8070 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 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 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 .mbcharsetprober import MultiByteCharSetProber
from .codingstatemachine import CodingStateMachine from .codingstatemachine import CodingStateMachine
from .chardistribution import EUCTWDistributionAnalysis from .chardistribution import EUCTWDistributionAnalysis
from .mbcssm import EUCTWSMModel from .mbcssm import EUCTW_SM_MODEL
class EUCTWProber(MultiByteCharSetProber): class EUCTWProber(MultiByteCharSetProber):
def __init__(self): def __init__(self):
MultiByteCharSetProber.__init__(self) super(EUCTWProber, self).__init__()
self._mCodingSM = CodingStateMachine(EUCTWSMModel) self.coding_sm = CodingStateMachine(EUCTW_SM_MODEL)
self._mDistributionAnalyzer = EUCTWDistributionAnalysis() self.distribution_analyzer = EUCTWDistributionAnalysis()
self.reset() self.reset()
def get_charset_name(self): @property
def charset_name(self):
return "EUC-TW" return "EUC-TW"
@property
def language(self):
return "Taiwan"

195
thirdparty/chardet/gb2312freq.py vendored
View File

@ -43,7 +43,7 @@ GB2312_TYPICAL_DISTRIBUTION_RATIO = 0.9
GB2312_TABLE_SIZE = 3760 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, 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, 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, 2204, 869,4207, 970,2678,5626,2944,2956,1479,4048, 514,3595, 588,1346,2820,3409,
@ -278,195 +278,6 @@ GB2312CharToFreqOrder = (
1718,1717,2655,3453,3143,4465, 161,2889,2980,2009,1421, 56,1908,1640,2387,2232, 1718,1717,2655,3453,3143,4465, 161,2889,2980,2009,1421, 56,1908,1640,2387,2232,
1917,1874,2477,4921, 148, 83,3438, 592,4245,2882,1822,1055, 741, 115,1496,1624, 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, 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 512 852,1221,1400,1486, 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 .mbcharsetprober import MultiByteCharSetProber
from .codingstatemachine import CodingStateMachine from .codingstatemachine import CodingStateMachine
from .chardistribution import GB2312DistributionAnalysis from .chardistribution import GB2312DistributionAnalysis
from .mbcssm import GB2312SMModel from .mbcssm import GB2312_SM_MODEL
class GB2312Prober(MultiByteCharSetProber): class GB2312Prober(MultiByteCharSetProber):
def __init__(self): def __init__(self):
MultiByteCharSetProber.__init__(self) super(GB2312Prober, self).__init__()
self._mCodingSM = CodingStateMachine(GB2312SMModel) self.coding_sm = CodingStateMachine(GB2312_SM_MODEL)
self._mDistributionAnalyzer = GB2312DistributionAnalysis() self.distribution_analyzer = GB2312DistributionAnalysis()
self.reset() self.reset()
def get_charset_name(self): @property
def charset_name(self):
return "GB2312" return "GB2312"
@property
def language(self):
return "Chinese"

163
thirdparty/chardet/hebrewprober.py vendored
View File

@ -26,8 +26,7 @@
######################### END LICENSE BLOCK ######################### ######################### END LICENSE BLOCK #########################
from .charsetprober import CharSetProber from .charsetprober import CharSetProber
from .constants import eNotMe, eDetecting from .enums import ProbingState
from .compat import wrap_ord
# This prober doesn't actually recognize a language or a charset. # This prober doesn't actually recognize a language or a charset.
# It is a helper prober for the use of the Hebrew model probers # It is a helper prober for the use of the Hebrew model probers
@ -126,56 +125,59 @@ from .compat import wrap_ord
# model probers scores. The answer is returned in the form of the name of the # model probers scores. The answer is returned in the form of the name of the
# charset identified, either "windows-1255" or "ISO-8859-8". # charset identified, either "windows-1255" or "ISO-8859-8".
# windows-1255 / ISO-8859-8 code points of interest
FINAL_KAF = 0xea
NORMAL_KAF = 0xeb
FINAL_MEM = 0xed
NORMAL_MEM = 0xee
FINAL_NUN = 0xef
NORMAL_NUN = 0xf0
FINAL_PE = 0xf3
NORMAL_PE = 0xf4
FINAL_TSADI = 0xf5
NORMAL_TSADI = 0xf6
# Minimum Visual vs Logical final letter score difference.
# If the difference is below this, don't rely solely on the final letter score
# distance.
MIN_FINAL_CHAR_DISTANCE = 5
# Minimum Visual vs Logical model score difference.
# If the difference is below this, don't rely at all on the model score
# distance.
MIN_MODEL_DISTANCE = 0.01
VISUAL_HEBREW_NAME = "ISO-8859-8"
LOGICAL_HEBREW_NAME = "windows-1255"
class HebrewProber(CharSetProber): class HebrewProber(CharSetProber):
# windows-1255 / ISO-8859-8 code points of interest
FINAL_KAF = 0xea
NORMAL_KAF = 0xeb
FINAL_MEM = 0xed
NORMAL_MEM = 0xee
FINAL_NUN = 0xef
NORMAL_NUN = 0xf0
FINAL_PE = 0xf3
NORMAL_PE = 0xf4
FINAL_TSADI = 0xf5
NORMAL_TSADI = 0xf6
# Minimum Visual vs Logical final letter score difference.
# If the difference is below this, don't rely solely on the final letter score
# distance.
MIN_FINAL_CHAR_DISTANCE = 5
# Minimum Visual vs Logical model score difference.
# If the difference is below this, don't rely at all on the model score
# distance.
MIN_MODEL_DISTANCE = 0.01
VISUAL_HEBREW_NAME = "ISO-8859-8"
LOGICAL_HEBREW_NAME = "windows-1255"
def __init__(self): def __init__(self):
CharSetProber.__init__(self) super(HebrewProber, self).__init__()
self._mLogicalProber = None self._final_char_logical_score = None
self._mVisualProber = None self._final_char_visual_score = None
self._prev = None
self._before_prev = None
self._logical_prober = None
self._visual_prober = None
self.reset() self.reset()
def reset(self): def reset(self):
self._mFinalCharLogicalScore = 0 self._final_char_logical_score = 0
self._mFinalCharVisualScore = 0 self._final_char_visual_score = 0
# The two last characters seen in the previous buffer, # The two last characters seen in the previous buffer,
# mPrev and mBeforePrev are initialized to space in order to simulate # mPrev and mBeforePrev are initialized to space in order to simulate
# a word delimiter at the beginning of the data # a word delimiter at the beginning of the data
self._mPrev = ' ' self._prev = ' '
self._mBeforePrev = ' ' self._before_prev = ' '
# These probers are owned by the group prober. # These probers are owned by the group prober.
def set_model_probers(self, logicalProber, visualProber): def set_model_probers(self, logicalProber, visualProber):
self._mLogicalProber = logicalProber self._logical_prober = logicalProber
self._mVisualProber = visualProber self._visual_prober = visualProber
def is_final(self, c): def is_final(self, c):
return wrap_ord(c) in [FINAL_KAF, FINAL_MEM, FINAL_NUN, FINAL_PE, return c in [self.FINAL_KAF, self.FINAL_MEM, self.FINAL_NUN,
FINAL_TSADI] self.FINAL_PE, self.FINAL_TSADI]
def is_non_final(self, c): def is_non_final(self, c):
# The normal Tsadi is not a good Non-Final letter due to words like # 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 # for example legally end with a Non-Final Pe or Kaf. However, the
# benefit of these letters as Non-Final letters outweighs the damage # benefit of these letters as Non-Final letters outweighs the damage
# since these words are quite rare. # 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. # Final letter analysis for logical-visual decision.
# Look for evidence that the received buffer is either logical Hebrew # Look for evidence that the received buffer is either logical Hebrew
# or visual Hebrew. # or visual Hebrew.
@ -217,67 +220,73 @@ class HebrewProber(CharSetProber):
# We automatically filter out all 7-bit characters (replace them with # We automatically filter out all 7-bit characters (replace them with
# spaces) so the word boundary detection works properly. [MAP] # 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. # 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 == ' ': if cur == ' ':
# We stand on a space - a word just ended # We stand on a space - a word just ended
if self._mBeforePrev != ' ': if self._before_prev != ' ':
# next-to-last char was not a space so self._mPrev is not a # next-to-last char was not a space so self._prev is not a
# 1 letter word # 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] # case (1) [-2:not space][-1:final letter][cur:space]
self._mFinalCharLogicalScore += 1 self._final_char_logical_score += 1
elif self.is_non_final(self._mPrev): elif self.is_non_final(self._prev):
# case (2) [-2:not space][-1:Non-Final letter][ # case (2) [-2:not space][-1:Non-Final letter][
# cur:space] # cur:space]
self._mFinalCharVisualScore += 1 self._final_char_visual_score += 1
else: else:
# Not standing on a space # Not standing on a space
if ((self._mBeforePrev == ' ') and if ((self._before_prev == ' ') and
(self.is_final(self._mPrev)) and (cur != ' ')): (self.is_final(self._prev)) and (cur != ' ')):
# case (3) [-2:space][-1:final letter][cur:not space] # case (3) [-2:space][-1:final letter][cur:not space]
self._mFinalCharVisualScore += 1 self._final_char_visual_score += 1
self._mBeforePrev = self._mPrev self._before_prev = self._prev
self._mPrev = cur self._prev = cur
# Forever detecting, till the end or until both model probers return # Forever detecting, till the end or until both model probers return
# eNotMe (handled above) # ProbingState.NOT_ME (handled above)
return eDetecting return ProbingState.DETECTING
def get_charset_name(self): @property
def charset_name(self):
# Make the decision: is it Logical or Visual? # Make the decision: is it Logical or Visual?
# If the final letter score distance is dominant enough, rely on it. # If the final letter score distance is dominant enough, rely on it.
finalsub = self._mFinalCharLogicalScore - self._mFinalCharVisualScore finalsub = self._final_char_logical_score - self._final_char_visual_score
if finalsub >= MIN_FINAL_CHAR_DISTANCE: if finalsub >= self.MIN_FINAL_CHAR_DISTANCE:
return LOGICAL_HEBREW_NAME return self.LOGICAL_HEBREW_NAME
if finalsub <= -MIN_FINAL_CHAR_DISTANCE: if finalsub <= -self.MIN_FINAL_CHAR_DISTANCE:
return VISUAL_HEBREW_NAME return self.VISUAL_HEBREW_NAME
# It's not dominant enough, try to rely on the model scores instead. # It's not dominant enough, try to rely on the model scores instead.
modelsub = (self._mLogicalProber.get_confidence() modelsub = (self._logical_prober.get_confidence()
- self._mVisualProber.get_confidence()) - self._visual_prober.get_confidence())
if modelsub > MIN_MODEL_DISTANCE: if modelsub > self.MIN_MODEL_DISTANCE:
return LOGICAL_HEBREW_NAME return self.LOGICAL_HEBREW_NAME
if modelsub < -MIN_MODEL_DISTANCE: if modelsub < -self.MIN_MODEL_DISTANCE:
return VISUAL_HEBREW_NAME return self.VISUAL_HEBREW_NAME
# Still no good, back to final letter distance, maybe it'll save the # Still no good, back to final letter distance, maybe it'll save the
# day. # day.
if finalsub < 0.0: 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 # (finalsub > 0 - Logical) or (don't know what to do) default to
# Logical. # 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. # Remain active as long as any of the model probers are active.
if (self._mLogicalProber.get_state() == eNotMe) and \ if (self._logical_prober.state == ProbingState.NOT_ME) and \
(self._mVisualProber.get_state() == eNotMe): (self._visual_prober.state == ProbingState.NOT_ME):
return eNotMe return ProbingState.NOT_ME
return eDetecting 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 , # Char to FreqOrder table ,
JIS_TABLE_SIZE = 4368 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 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 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 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 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 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 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 # 02110-1301 USA
######################### END LICENSE BLOCK ######################### ######################### 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 # This is hiragana 2-char sequence table, the number in each cell represents its frequency category
jp2CharContext = ( 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), (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): 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() self.reset()
def reset(self): def reset(self):
self._mTotalRel = 0 # total sequence received self._total_rel = 0 # total sequence received
# category counters, each interger counts sequence in its category # category counters, each integer counts sequence in its category
self._mRelSample = [0] * NUM_OF_CATEGORY self._rel_sample = [0] * self.NUM_OF_CATEGORY
# if last byte in current buffer is not the last byte of a character, # 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 # we need to know how many bytes to skip in next buffer
self._mNeedToSkipCharNum = 0 self._need_to_skip_char_num = 0
self._mLastCharOrder = -1 # The order of previous char self._last_char_order = -1 # The order of previous char
# If this flag is set to True, detection is done and conclusion has # If this flag is set to True, detection is done and conclusion has
# been made # been made
self._mDone = False self._done = False
def feed(self, aBuf, aLen): def feed(self, byte_str, num_bytes):
if self._mDone: if self._done:
return return
# The buffer we got is byte oriented, and a character may span in more than one # 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 # well and analyse the character once it is complete, but since a
# character will not make much difference, by simply skipping # character will not make much difference, by simply skipping
# this character will simply our logic and improve performance. # this character will simply our logic and improve performance.
i = self._mNeedToSkipCharNum i = self._need_to_skip_char_num
while i < aLen: while i < num_bytes:
order, charLen = self.get_order(aBuf[i:i + 2]) order, char_len = self.get_order(byte_str[i:i + 2])
i += charLen i += char_len
if i > aLen: if i > num_bytes:
self._mNeedToSkipCharNum = i - aLen self._need_to_skip_char_num = i - num_bytes
self._mLastCharOrder = -1 self._last_char_order = -1
else: else:
if (order != -1) and (self._mLastCharOrder != -1): if (order != -1) and (self._last_char_order != -1):
self._mTotalRel += 1 self._total_rel += 1
if self._mTotalRel > MAX_REL_THRESHOLD: if self._total_rel > self.MAX_REL_THRESHOLD:
self._mDone = True self._done = True
break break
self._mRelSample[jp2CharContext[self._mLastCharOrder][order]] += 1 self._rel_sample[jp2CharContext[self._last_char_order][order]] += 1
self._mLastCharOrder = order self._last_char_order = order
def got_enough_data(self): def got_enough_data(self):
return self._mTotalRel > ENOUGH_REL_THRESHOLD return self._total_rel > self.ENOUGH_REL_THRESHOLD
def get_confidence(self): def get_confidence(self):
# This is just one way to calculate confidence. It works well for me. # This is just one way to calculate confidence. It works well for me.
if self._mTotalRel > MINIMUM_DATA_THRESHOLD: if self._total_rel > self.MINIMUM_DATA_THRESHOLD:
return (self._mTotalRel - self._mRelSample[0]) / self._mTotalRel return (self._total_rel - self._rel_sample[0]) / self._total_rel
else: else:
return DONT_KNOW return self.DONT_KNOW
def get_order(self, aBuf): def get_order(self, byte_str):
return -1, 1 return -1, 1
class SJISContextAnalysis(JapaneseContextAnalysis): class SJISContextAnalysis(JapaneseContextAnalysis):
def __init__(self): def __init__(self):
self.charset_name = "SHIFT_JIS" super(SJISContextAnalysis, self).__init__()
self._charset_name = "SHIFT_JIS"
def get_charset_name(self): @property
return self.charset_name def charset_name(self):
return self._charset_name
def get_order(self, aBuf): def get_order(self, byte_str):
if not aBuf: if not byte_str:
return -1, 1 return -1, 1
# find out current char's byte length # find out current char's byte length
first_char = wrap_ord(aBuf[0]) first_char = byte_str[0]
if ((0x81 <= first_char <= 0x9F) or (0xE0 <= first_char <= 0xFC)): if (0x81 <= first_char <= 0x9F) or (0xE0 <= first_char <= 0xFC):
charLen = 2 char_len = 2
if (first_char == 0x87) or (0xFA <= first_char <= 0xFC): if (first_char == 0x87) or (0xFA <= first_char <= 0xFC):
self.charset_name = "CP932" self._charset_name = "CP932"
else: else:
charLen = 1 char_len = 1
# return its order if it is hiragana # return its order if it is hiragana
if len(aBuf) > 1: if len(byte_str) > 1:
second_char = wrap_ord(aBuf[1]) second_char = byte_str[1]
if (first_char == 202) and (0x9F <= second_char <= 0xF1): 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): class EUCJPContextAnalysis(JapaneseContextAnalysis):
def get_order(self, aBuf): def get_order(self, byte_str):
if not aBuf: if not byte_str:
return -1, 1 return -1, 1
# find out current char's byte length # 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): if (first_char == 0x8E) or (0xA1 <= first_char <= 0xFE):
charLen = 2 char_len = 2
elif first_char == 0x8F: elif first_char == 0x8F:
charLen = 3 char_len = 3
else: else:
charLen = 1 char_len = 1
# return its order if it is hiragana # return its order if it is hiragana
if len(aBuf) > 1: if len(byte_str) > 1:
second_char = wrap_ord(aBuf[1]) second_char = byte_str[1]
if (first_char == 0xA4) and (0xA1 <= second_char <= 0xF3): 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 = { Latin5BulgarianModel = {
'charToOrderMap': Latin5_BulgarianCharToOrderMap, 'char_to_order_map': Latin5_BulgarianCharToOrderMap,
'precedenceMatrix': BulgarianLangModel, 'precedence_matrix': BulgarianLangModel,
'mTypicalPositiveRatio': 0.969392, 'typical_positive_ratio': 0.969392,
'keepEnglishLetter': False, 'keep_english_letter': False,
'charsetName': "ISO-8859-5" 'charset_name': "ISO-8859-5",
'language': 'Bulgairan',
} }
Win1251BulgarianModel = { Win1251BulgarianModel = {
'charToOrderMap': win1251BulgarianCharToOrderMap, 'char_to_order_map': win1251BulgarianCharToOrderMap,
'precedenceMatrix': BulgarianLangModel, 'precedence_matrix': BulgarianLangModel,
'mTypicalPositiveRatio': 0.969392, 'typical_positive_ratio': 0.969392,
'keepEnglishLetter': False, 'keep_english_letter': False,
'charsetName': "windows-1251" 'charset_name': "windows-1251",
'language': 'Bulgarian',
} }
# flake8: noqa

82
thirdparty/chardet/langcyrillicmodel.py vendored
View File

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

28
thirdparty/chardet/langgreekmodel.py vendored
View File

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

17
thirdparty/chardet/langhebrewmodel.py vendored
View File

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

24
thirdparty/chardet/langhungarianmodel.py vendored
View File

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

13
thirdparty/chardet/langthaimodel.py vendored
View File

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

48
thirdparty/chardet/latin1prober.py vendored
View File

@ -27,8 +27,7 @@
######################### END LICENSE BLOCK ######################### ######################### END LICENSE BLOCK #########################
from .charsetprober import CharSetProber from .charsetprober import CharSetProber
from .constants import eNotMe from .enums import ProbingState
from .compat import wrap_ord
FREQ_CAT_NUM = 4 FREQ_CAT_NUM = 4
@ -82,7 +81,7 @@ Latin1_CharToClass = (
# 2 : normal # 2 : normal
# 3 : very likely # 3 : very likely
Latin1ClassModel = ( Latin1ClassModel = (
# UDF OTH ASC ASS ACV ACO ASV ASO # UDF OTH ASC ASS ACV ACO ASV ASO
0, 0, 0, 0, 0, 0, 0, 0, # UDF 0, 0, 0, 0, 0, 0, 0, 0, # UDF
0, 3, 3, 3, 3, 3, 3, 3, # OTH 0, 3, 3, 3, 3, 3, 3, 3, # OTH
0, 3, 3, 3, 3, 3, 3, 3, # ASC 0, 3, 3, 3, 3, 3, 3, 3, # ASC
@ -96,40 +95,47 @@ Latin1ClassModel = (
class Latin1Prober(CharSetProber): class Latin1Prober(CharSetProber):
def __init__(self): def __init__(self):
CharSetProber.__init__(self) super(Latin1Prober, self).__init__()
self._last_char_class = None
self._freq_counter = None
self.reset() self.reset()
def reset(self): def reset(self):
self._mLastCharClass = OTH self._last_char_class = OTH
self._mFreqCounter = [0] * FREQ_CAT_NUM self._freq_counter = [0] * FREQ_CAT_NUM
CharSetProber.reset(self) CharSetProber.reset(self)
def get_charset_name(self): @property
return "windows-1252" def charset_name(self):
return "ISO-8859-1"
def feed(self, aBuf): @property
aBuf = self.filter_with_english_letters(aBuf) def language(self):
for c in aBuf: return ""
charClass = Latin1_CharToClass[wrap_ord(c)]
freq = Latin1ClassModel[(self._mLastCharClass * CLASS_NUM) def feed(self, byte_str):
+ charClass] 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: if freq == 0:
self._mState = eNotMe self._state = ProbingState.NOT_ME
break break
self._mFreqCounter[freq] += 1 self._freq_counter[freq] += 1
self._mLastCharClass = charClass self._last_char_class = char_class
return self.get_state() return self.state
def get_confidence(self): def get_confidence(self):
if self.get_state() == eNotMe: if self.state == ProbingState.NOT_ME:
return 0.01 return 0.01
total = sum(self._mFreqCounter) total = sum(self._freq_counter)
if total < 0.01: if total < 0.01:
confidence = 0.0 confidence = 0.0
else: else:
confidence = ((self._mFreqCounter[3] - self._mFreqCounter[1] * 20.0) confidence = ((self._freq_counter[3] - self._freq_counter[1] * 20.0)
/ total) / total)
if confidence < 0.0: if confidence < 0.0:
confidence = 0.0 confidence = 0.0

87
thirdparty/chardet/mbcharsetprober.py vendored
View File

@ -27,62 +27,65 @@
# 02110-1301 USA # 02110-1301 USA
######################### END LICENSE BLOCK ######################### ######################### END LICENSE BLOCK #########################
import sys
from . import constants
from .charsetprober import CharSetProber from .charsetprober import CharSetProber
from .enums import ProbingState, MachineState
if sys.version_info >= (3, 0):
xrange = range
class MultiByteCharSetProber(CharSetProber): class MultiByteCharSetProber(CharSetProber):
def __init__(self): """
CharSetProber.__init__(self) MultiByteCharSetProber
self._mDistributionAnalyzer = None """
self._mCodingSM = None
self._mLastChar = [0, 0] 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): def reset(self):
CharSetProber.reset(self) super(MultiByteCharSetProber, self).reset()
if self._mCodingSM: if self.coding_sm:
self._mCodingSM.reset() self.coding_sm.reset()
if self._mDistributionAnalyzer: if self.distribution_analyzer:
self._mDistributionAnalyzer.reset() self.distribution_analyzer.reset()
self._mLastChar = [0, 0] self._last_char = [0, 0]
def get_charset_name(self): @property
pass def charset_name(self):
raise NotImplementedError
def feed(self, aBuf): @property
aLen = len(aBuf) def language(self):
for i in xrange(0, aLen): raise NotImplementedError
codingState = self._mCodingSM.next_state(aBuf[i])
if codingState == constants.eError: def feed(self, byte_str):
if constants._debug: for i in range(len(byte_str)):
sys.stderr.write(self.get_charset_name() coding_state = self.coding_sm.next_state(byte_str[i])
+ ' prober hit error at byte ' + str(i) if coding_state == MachineState.ERROR:
+ '\n') self.logger.debug('%s %s prober hit error at byte %s',
self._mState = constants.eNotMe self.charset_name, self.language, i)
self._state = ProbingState.NOT_ME
break break
elif codingState == constants.eItsMe: elif coding_state == MachineState.ITS_ME:
self._mState = constants.eFoundIt self._state = ProbingState.FOUND_IT
break break
elif codingState == constants.eStart: elif coding_state == MachineState.START:
charLen = self._mCodingSM.get_current_charlen() char_len = self.coding_sm.get_current_charlen()
if i == 0: if i == 0:
self._mLastChar[1] = aBuf[0] self._last_char[1] = byte_str[0]
self._mDistributionAnalyzer.feed(self._mLastChar, charLen) self.distribution_analyzer.feed(self._last_char, char_len)
else: else:
self._mDistributionAnalyzer.feed(aBuf[i - 1:i + 1], self.distribution_analyzer.feed(byte_str[i - 1:i + 1],
charLen) char_len)
self._mLastChar[0] = aBuf[aLen - 1] self._last_char[0] = byte_str[-1]
if self.get_state() == constants.eDetecting: if self.state == ProbingState.DETECTING:
if (self._mDistributionAnalyzer.got_enough_data() and if (self.distribution_analyzer.got_enough_data() and
(self.get_confidence() > constants.SHORTCUT_THRESHOLD)): (self.get_confidence() > self.SHORTCUT_THRESHOLD)):
self._mState = constants.eFoundIt self._state = ProbingState.FOUND_IT
return self.get_state() return self.state
def get_confidence(self): 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): class MBCSGroupProber(CharSetGroupProber):
def __init__(self): def __init__(self, lang_filter=None):
CharSetGroupProber.__init__(self) super(MBCSGroupProber, self).__init__(lang_filter=lang_filter)
self._mProbers = [ self.probers = [
UTF8Prober(), UTF8Prober(),
SJISProber(), SJISProber(),
EUCJPProber(), EUCJPProber(),

298
thirdparty/chardet/mbcssm.py vendored
View File

@ -25,11 +25,11 @@
# 02110-1301 USA # 02110-1301 USA
######################### END LICENSE BLOCK ######################### ######################### END LICENSE BLOCK #########################
from .constants import eStart, eError, eItsMe from .enums import MachineState
# BIG5 # BIG5
BIG5_cls = ( BIG5_CLS = (
1,1,1,1,1,1,1,1, # 00 - 07 #allow 0x00 as legal value 1,1,1,1,1,1,1,1, # 00 - 07 #allow 0x00 as legal value
1,1,1,1,1,1,0,0, # 08 - 0f 1,1,1,1,1,1,0,0, # 08 - 0f
1,1,1,1,1,1,1,1, # 10 - 17 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 3,3,3,3,3,3,3,0 # f8 - ff
) )
BIG5_st = ( BIG5_ST = (
eError,eStart,eStart, 3,eError,eError,eError,eError,#00-07 MachineState.ERROR,MachineState.START,MachineState.START, 3,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#00-07
eError,eError,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eError,#08-0f MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ERROR,#08-0f
eError,eStart,eStart,eStart,eStart,eStart,eStart,eStart#10-17 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, BIG5_SM_MODEL = {'class_table': BIG5_CLS,
'classFactor': 5, 'class_factor': 5,
'stateTable': BIG5_st, 'state_table': BIG5_ST,
'charLenTable': Big5CharLenTable, 'char_len_table': BIG5_CHAR_LEN_TABLE,
'name': 'Big5'} 'name': 'Big5'}
# CP949 # 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, 1,1,1,1,1,1,0,0, # 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, 1,1,1,0,1,1,1,1, # 10 - 1f
1,1,1,1,1,1,1,1, 1,1,1,1,1,1,1,1, # 20 - 2f 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 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 = #cls= 0 1 2 3 4 5 6 7 8 9 # previous state =
eError,eStart, 3,eError,eStart,eStart, 4, 5,eError, 6, # eStart MachineState.ERROR,MachineState.START, 3,MachineState.ERROR,MachineState.START,MachineState.START, 4, 5,MachineState.ERROR, 6, # MachineState.START
eError,eError,eError,eError,eError,eError,eError,eError,eError,eError, # eError MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR, # MachineState.ERROR
eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe, # eItsMe 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
eError,eError,eStart,eStart,eError,eError,eError,eStart,eStart,eStart, # 3 MachineState.ERROR,MachineState.ERROR,MachineState.START,MachineState.START,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.START,MachineState.START,MachineState.START, # 3
eError,eError,eStart,eStart,eStart,eStart,eStart,eStart,eStart,eStart, # 4 MachineState.ERROR,MachineState.ERROR,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START, # 4
eError,eStart,eStart,eStart,eStart,eStart,eStart,eStart,eStart,eStart, # 5 MachineState.ERROR,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START, # 5
eError,eStart,eStart,eStart,eStart,eError,eError,eStart,eStart,eStart, # 6 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, CP949_SM_MODEL = {'class_table': CP949_CLS,
'classFactor': 10, 'class_factor': 10,
'stateTable': CP949_st, 'state_table': CP949_ST,
'charLenTable': CP949CharLenTable, 'char_len_table': CP949_CHAR_LEN_TABLE,
'name': 'CP949'} 'name': 'CP949'}
# EUC-JP # EUC-JP
EUCJP_cls = ( EUCJP_CLS = (
4,4,4,4,4,4,4,4, # 00 - 07 4,4,4,4,4,4,4,4, # 00 - 07
4,4,4,4,4,4,5,5, # 08 - 0f 4,4,4,4,4,4,5,5, # 08 - 0f
4,4,4,4,4,4,4,4, # 10 - 17 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 0,0,0,0,0,0,0,5 # f8 - ff
) )
EUCJP_st = ( EUCJP_ST = (
3, 4, 3, 5,eStart,eError,eError,eError,#00-07 3, 4, 3, 5,MachineState.START,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#00-07
eError,eError,eError,eError,eItsMe,eItsMe,eItsMe,eItsMe,#08-0f MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,#08-0f
eItsMe,eItsMe,eStart,eError,eStart,eError,eError,eError,#10-17 MachineState.ITS_ME,MachineState.ITS_ME,MachineState.START,MachineState.ERROR,MachineState.START,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#10-17
eError,eError,eStart,eError,eError,eError, 3,eError,#18-1f MachineState.ERROR,MachineState.ERROR,MachineState.START,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR, 3,MachineState.ERROR,#18-1f
3,eError,eError,eError,eStart,eStart,eStart,eStart#20-27 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, EUCJP_SM_MODEL = {'class_table': EUCJP_CLS,
'classFactor': 6, 'class_factor': 6,
'stateTable': EUCJP_st, 'state_table': EUCJP_ST,
'charLenTable': EUCJPCharLenTable, 'char_len_table': EUCJP_CHAR_LEN_TABLE,
'name': 'EUC-JP'} 'name': 'EUC-JP'}
# EUC-KR # EUC-KR
EUCKR_cls = ( EUCKR_CLS = (
1,1,1,1,1,1,1,1, # 00 - 07 1,1,1,1,1,1,1,1, # 00 - 07
1,1,1,1,1,1,0,0, # 08 - 0f 1,1,1,1,1,1,0,0, # 08 - 0f
1,1,1,1,1,1,1,1, # 10 - 17 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 2,2,2,2,2,2,2,0 # f8 - ff
) )
EUCKR_st = ( EUCKR_ST = (
eError,eStart, 3,eError,eError,eError,eError,eError,#00-07 MachineState.ERROR,MachineState.START, 3,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#00-07
eItsMe,eItsMe,eItsMe,eItsMe,eError,eError,eStart,eStart #08-0f 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, EUCKR_SM_MODEL = {'class_table': EUCKR_CLS,
'classFactor': 4, 'class_factor': 4,
'stateTable': EUCKR_st, 'state_table': EUCKR_ST,
'charLenTable': EUCKRCharLenTable, 'char_len_table': EUCKR_CHAR_LEN_TABLE,
'name': 'EUC-KR'} 'name': 'EUC-KR'}
# EUC-TW # EUC-TW
EUCTW_cls = ( EUCTW_CLS = (
2,2,2,2,2,2,2,2, # 00 - 07 2,2,2,2,2,2,2,2, # 00 - 07
2,2,2,2,2,2,0,0, # 08 - 0f 2,2,2,2,2,2,0,0, # 08 - 0f
2,2,2,2,2,2,2,2, # 10 - 17 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 3,3,3,3,3,3,3,0 # f8 - ff
) )
EUCTW_st = ( EUCTW_ST = (
eError,eError,eStart, 3, 3, 3, 4,eError,#00-07 MachineState.ERROR,MachineState.ERROR,MachineState.START, 3, 3, 3, 4,MachineState.ERROR,#00-07
eError,eError,eError,eError,eError,eError,eItsMe,eItsMe,#08-0f MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ITS_ME,#08-0f
eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eError,eStart,eError,#10-17 MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ERROR,MachineState.START,MachineState.ERROR,#10-17
eStart,eStart,eStart,eError,eError,eError,eError,eError,#18-1f MachineState.START,MachineState.START,MachineState.START,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#18-1f
5,eError,eError,eError,eStart,eError,eStart,eStart,#20-27 5,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.START,MachineState.ERROR,MachineState.START,MachineState.START,#20-27
eStart,eError,eStart,eStart,eStart,eStart,eStart,eStart #28-2f 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, EUCTW_SM_MODEL = {'class_table': EUCTW_CLS,
'classFactor': 7, 'class_factor': 7,
'stateTable': EUCTW_st, 'state_table': EUCTW_ST,
'charLenTable': EUCTWCharLenTable, 'char_len_table': EUCTW_CHAR_LEN_TABLE,
'name': 'x-euc-tw'} 'name': 'x-euc-tw'}
# GB2312 # GB2312
GB2312_cls = ( GB2312_CLS = (
1,1,1,1,1,1,1,1, # 00 - 07 1,1,1,1,1,1,1,1, # 00 - 07
1,1,1,1,1,1,0,0, # 08 - 0f 1,1,1,1,1,1,0,0, # 08 - 0f
1,1,1,1,1,1,1,1, # 10 - 17 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 6,6,6,6,6,6,6,0 # f8 - ff
) )
GB2312_st = ( GB2312_ST = (
eError,eStart,eStart,eStart,eStart,eStart, 3,eError,#00-07 MachineState.ERROR,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START, 3,MachineState.ERROR,#00-07
eError,eError,eError,eError,eError,eError,eItsMe,eItsMe,#08-0f MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ITS_ME,#08-0f
eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eError,eError,eStart,#10-17 MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ERROR,MachineState.ERROR,MachineState.START,#10-17
4,eError,eStart,eStart,eError,eError,eError,eError,#18-1f 4,MachineState.ERROR,MachineState.START,MachineState.START,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#18-1f
eError,eError, 5,eError,eError,eError,eItsMe,eError,#20-27 MachineState.ERROR,MachineState.ERROR, 5,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ERROR,#20-27
eError,eError,eStart,eStart,eStart,eStart,eStart,eStart #28-2f 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. # 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 # 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 # each code range there as well. So it is safe to set it to be
# 2 here. # 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, GB2312_SM_MODEL = {'class_table': GB2312_CLS,
'classFactor': 7, 'class_factor': 7,
'stateTable': GB2312_st, 'state_table': GB2312_ST,
'charLenTable': GB2312CharLenTable, 'char_len_table': GB2312_CHAR_LEN_TABLE,
'name': 'GB2312'} 'name': 'GB2312'}
# Shift_JIS # Shift_JIS
SJIS_cls = ( SJIS_CLS = (
1,1,1,1,1,1,1,1, # 00 - 07 1,1,1,1,1,1,1,1, # 00 - 07
1,1,1,1,1,1,0,0, # 08 - 0f 1,1,1,1,1,1,0,0, # 08 - 0f
1,1,1,1,1,1,1,1, # 10 - 17 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 3,3,3,3,3,0,0,0) # f8 - ff
SJIS_st = ( SJIS_ST = (
eError,eStart,eStart, 3,eError,eError,eError,eError,#00-07 MachineState.ERROR,MachineState.START,MachineState.START, 3,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#00-07
eError,eError,eError,eError,eItsMe,eItsMe,eItsMe,eItsMe,#08-0f MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,#08-0f
eItsMe,eItsMe,eError,eError,eStart,eStart,eStart,eStart #10-17 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, SJIS_SM_MODEL = {'class_table': SJIS_CLS,
'classFactor': 6, 'class_factor': 6,
'stateTable': SJIS_st, 'state_table': SJIS_ST,
'charLenTable': SJISCharLenTable, 'char_len_table': SJIS_CHAR_LEN_TABLE,
'name': 'Shift_JIS'} 'name': 'Shift_JIS'}
# UCS2-BE # UCS2-BE
UCS2BE_cls = ( UCS2BE_CLS = (
0,0,0,0,0,0,0,0, # 00 - 07 0,0,0,0,0,0,0,0, # 00 - 07
0,0,1,0,0,2,0,0, # 08 - 0f 0,0,1,0,0,2,0,0, # 08 - 0f
0,0,0,0,0,0,0,0, # 10 - 17 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 0,0,0,0,0,0,4,5 # f8 - ff
) )
UCS2BE_st = ( UCS2BE_ST = (
5, 7, 7,eError, 4, 3,eError,eError,#00-07 5, 7, 7,MachineState.ERROR, 4, 3,MachineState.ERROR,MachineState.ERROR,#00-07
eError,eError,eError,eError,eItsMe,eItsMe,eItsMe,eItsMe,#08-0f MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,#08-0f
eItsMe,eItsMe, 6, 6, 6, 6,eError,eError,#10-17 MachineState.ITS_ME,MachineState.ITS_ME, 6, 6, 6, 6,MachineState.ERROR,MachineState.ERROR,#10-17
6, 6, 6, 6, 6,eItsMe, 6, 6,#18-1f 6, 6, 6, 6, 6,MachineState.ITS_ME, 6, 6,#18-1f
6, 6, 6, 6, 5, 7, 7,eError,#20-27 6, 6, 6, 6, 5, 7, 7,MachineState.ERROR,#20-27
5, 8, 6, 6,eError, 6, 6, 6,#28-2f 5, 8, 6, 6,MachineState.ERROR, 6, 6, 6,#28-2f
6, 6, 6, 6,eError,eError,eStart,eStart #30-37 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, UCS2BE_SM_MODEL = {'class_table': UCS2BE_CLS,
'classFactor': 6, 'class_factor': 6,
'stateTable': UCS2BE_st, 'state_table': UCS2BE_ST,
'charLenTable': UCS2BECharLenTable, 'char_len_table': UCS2BE_CHAR_LEN_TABLE,
'name': 'UTF-16BE'} 'name': 'UTF-16BE'}
# UCS2-LE # UCS2-LE
UCS2LE_cls = ( UCS2LE_CLS = (
0,0,0,0,0,0,0,0, # 00 - 07 0,0,0,0,0,0,0,0, # 00 - 07
0,0,1,0,0,2,0,0, # 08 - 0f 0,0,1,0,0,2,0,0, # 08 - 0f
0,0,0,0,0,0,0,0, # 10 - 17 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 0,0,0,0,0,0,4,5 # f8 - ff
) )
UCS2LE_st = ( UCS2LE_ST = (
6, 6, 7, 6, 4, 3,eError,eError,#00-07 6, 6, 7, 6, 4, 3,MachineState.ERROR,MachineState.ERROR,#00-07
eError,eError,eError,eError,eItsMe,eItsMe,eItsMe,eItsMe,#08-0f MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,#08-0f
eItsMe,eItsMe, 5, 5, 5,eError,eItsMe,eError,#10-17 MachineState.ITS_ME,MachineState.ITS_ME, 5, 5, 5,MachineState.ERROR,MachineState.ITS_ME,MachineState.ERROR,#10-17
5, 5, 5,eError, 5,eError, 6, 6,#18-1f 5, 5, 5,MachineState.ERROR, 5,MachineState.ERROR, 6, 6,#18-1f
7, 6, 8, 8, 5, 5, 5,eError,#20-27 7, 6, 8, 8, 5, 5, 5,MachineState.ERROR,#20-27
5, 5, 5,eError,eError,eError, 5, 5,#28-2f 5, 5, 5,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR, 5, 5,#28-2f
5, 5, 5,eError, 5,eError,eStart,eStart #30-37 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, UCS2LE_SM_MODEL = {'class_table': UCS2LE_CLS,
'classFactor': 6, 'class_factor': 6,
'stateTable': UCS2LE_st, 'state_table': UCS2LE_ST,
'charLenTable': UCS2LECharLenTable, 'char_len_table': UCS2LE_CHAR_LEN_TABLE,
'name': 'UTF-16LE'} 'name': 'UTF-16LE'}
# UTF-8 # UTF-8
UTF8_cls = ( UTF8_CLS = (
1,1,1,1,1,1,1,1, # 00 - 07 #allow 0x00 as a legal value 1,1,1,1,1,1,1,1, # 00 - 07 #allow 0x00 as a legal value
1,1,1,1,1,1,0,0, # 08 - 0f 1,1,1,1,1,1,0,0, # 08 - 0f
1,1,1,1,1,1,1,1, # 10 - 17 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 12,13,13,13,14,15,0,0 # f8 - ff
) )
UTF8_st = ( UTF8_ST = (
eError,eStart,eError,eError,eError,eError, 12, 10,#00-07 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 9, 11, 8, 7, 6, 5, 4, 3,#08-0f
eError,eError,eError,eError,eError,eError,eError,eError,#10-17 MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#10-17
eError,eError,eError,eError,eError,eError,eError,eError,#18-1f MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#18-1f
eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,#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,#20-27
eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,#28-2f 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
eError,eError, 5, 5, 5, 5,eError,eError,#30-37 MachineState.ERROR,MachineState.ERROR, 5, 5, 5, 5,MachineState.ERROR,MachineState.ERROR,#30-37
eError,eError,eError,eError,eError,eError,eError,eError,#38-3f MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#38-3f
eError,eError,eError, 5, 5, 5,eError,eError,#40-47 MachineState.ERROR,MachineState.ERROR,MachineState.ERROR, 5, 5, 5,MachineState.ERROR,MachineState.ERROR,#40-47
eError,eError,eError,eError,eError,eError,eError,eError,#48-4f MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#48-4f
eError,eError, 7, 7, 7, 7,eError,eError,#50-57 MachineState.ERROR,MachineState.ERROR, 7, 7, 7, 7,MachineState.ERROR,MachineState.ERROR,#50-57
eError,eError,eError,eError,eError,eError,eError,eError,#58-5f MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#58-5f
eError,eError,eError,eError, 7, 7,eError,eError,#60-67 MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR, 7, 7,MachineState.ERROR,MachineState.ERROR,#60-67
eError,eError,eError,eError,eError,eError,eError,eError,#68-6f MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#68-6f
eError,eError, 9, 9, 9, 9,eError,eError,#70-77 MachineState.ERROR,MachineState.ERROR, 9, 9, 9, 9,MachineState.ERROR,MachineState.ERROR,#70-77
eError,eError,eError,eError,eError,eError,eError,eError,#78-7f MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#78-7f
eError,eError,eError,eError,eError, 9,eError,eError,#80-87 MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR, 9,MachineState.ERROR,MachineState.ERROR,#80-87
eError,eError,eError,eError,eError,eError,eError,eError,#88-8f MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#88-8f
eError,eError, 12, 12, 12, 12,eError,eError,#90-97 MachineState.ERROR,MachineState.ERROR, 12, 12, 12, 12,MachineState.ERROR,MachineState.ERROR,#90-97
eError,eError,eError,eError,eError,eError,eError,eError,#98-9f MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#98-9f
eError,eError,eError,eError,eError, 12,eError,eError,#a0-a7 MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR, 12,MachineState.ERROR,MachineState.ERROR,#a0-a7
eError,eError,eError,eError,eError,eError,eError,eError,#a8-af MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#a8-af
eError,eError, 12, 12, 12,eError,eError,eError,#b0-b7 MachineState.ERROR,MachineState.ERROR, 12, 12, 12,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#b0-b7
eError,eError,eError,eError,eError,eError,eError,eError,#b8-bf MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#b8-bf
eError,eError,eStart,eStart,eStart,eStart,eError,eError,#c0-c7 MachineState.ERROR,MachineState.ERROR,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.ERROR,MachineState.ERROR,#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 #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, UTF8_SM_MODEL = {'class_table': UTF8_CLS,
'classFactor': 16, 'class_factor': 16,
'stateTable': UTF8_st, 'state_table': UTF8_ST,
'charLenTable': UTF8CharLenTable, 'char_len_table': UTF8_CHAR_LEN_TABLE,
'name': 'UTF-8'} 'name': 'UTF-8'}

150
thirdparty/chardet/sbcharsetprober.py vendored
View File

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

30
thirdparty/chardet/sbcsgroupprober.py vendored
View File

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

87
thirdparty/chardet/sjisprober.py vendored
View File

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

326
thirdparty/chardet/universaldetector.py vendored
View File

@ -25,146 +25,262 @@
# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA # Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA
# 02110-1301 USA # 02110-1301 USA
######################### END LICENSE BLOCK ######################### ######################### 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 import codecs
from .latin1prober import Latin1Prober # windows-1252 import logging
from .mbcsgroupprober import MBCSGroupProber # multi-byte character sets
from .sbcsgroupprober import SBCSGroupProber # single-byte character sets
from .escprober import EscCharSetProber # ISO-2122, etc.
import re import re
MINIMUM_THRESHOLD = 0.20 from .charsetgroupprober import CharSetGroupProber
ePureAscii = 0 from .enums import InputState, LanguageFilter, ProbingState
eEscAscii = 1 from .escprober import EscCharSetProber
eHighbyte = 2 from .latin1prober import Latin1Prober
from .mbcsgroupprober import MBCSGroupProber
from .sbcsgroupprober import SBCSGroupProber
class UniversalDetector: class UniversalDetector(object):
def __init__(self): """
self._highBitDetector = re.compile(b'[\x80-\xFF]') The ``UniversalDetector`` class underlies the ``chardet.detect`` function
self._escDetector = re.compile(b'(\033|~{)') and coordinates all of the different charset probers.
self._mEscCharSetProber = None
self._mCharSetProbers = [] 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
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'}
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() self.reset()
def reset(self): 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.done = False
self._mStart = True self._got_data = False
self._mGotData = False self._has_win_bytes = False
self._mInputState = ePureAscii self._input_state = InputState.PURE_ASCII
self._mLastChar = b'' self._last_char = b''
if self._mEscCharSetProber: if self._esc_charset_prober:
self._mEscCharSetProber.reset() self._esc_charset_prober.reset()
for prober in self._mCharSetProbers: for prober in self._charset_probers:
prober.reset() 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: if self.done:
return return
aLen = len(aBuf) if not len(byte_str):
if not aLen:
return 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 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 # EF BB BF UTF-8 with BOM
self.result = {'encoding': "UTF-8-SIG", 'confidence': 1.0} self.result = {'encoding': "UTF-8-SIG",
elif aBuf[:4] == codecs.BOM_UTF32_LE: '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 # 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 # 00 00 FE FF UTF-32, big-endian BOM
self.result = {'encoding': "UTF-32BE", 'confidence': 1.0} self.result = {'encoding': "UTF-32",
elif aBuf[:4] == b'\xFE\xFF\x00\x00': 'confidence': 1.0,
'language': ''}
elif byte_str.startswith(b'\xFE\xFF\x00\x00'):
# FE FF 00 00 UCS-4, unusual octet order BOM (3412) # FE FF 00 00 UCS-4, unusual octet order BOM (3412)
self.result = { self.result = {'encoding': "X-ISO-10646-UCS-4-3412",
'encoding': "X-ISO-10646-UCS-4-3412", 'confidence': 1.0,
'confidence': 1.0 'language': ''}
} elif byte_str.startswith(b'\x00\x00\xFF\xFE'):
elif aBuf[:4] == b'\x00\x00\xFF\xFE':
# 00 00 FF FE UCS-4, unusual octet order BOM (2143) # 00 00 FF FE UCS-4, unusual octet order BOM (2143)
self.result = { self.result = {'encoding': "X-ISO-10646-UCS-4-2143",
'encoding': "X-ISO-10646-UCS-4-2143", 'confidence': 1.0,
'confidence': 1.0 'language': ''}
} elif byte_str.startswith((codecs.BOM_LE, codecs.BOM_BE)):
elif aBuf[:2] == codecs.BOM_LE:
# FF FE UTF-16, little endian BOM # 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 # 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 self._got_data = True
if self.result['encoding'] and (self.result['confidence'] > 0.0): 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
self._mLastChar = aBuf[-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()}
self.done = True self.done = True
elif self._mInputState == eHighbyte: return
if not self._mCharSetProbers:
self._mCharSetProbers = [MBCSGroupProber(), SBCSGroupProber(), # If none of those matched and we've only see ASCII so far, check
Latin1Prober()] # for high bytes and escape sequences
for prober in self._mCharSetProbers: if self._input_state == InputState.PURE_ASCII:
if prober.feed(aBuf) == constants.eFoundIt: if self.HIGH_BYTE_DETECTOR.search(byte_str):
self.result = {'encoding': prober.get_charset_name(), self._input_state = InputState.HIGH_BYTE
'confidence': prober.get_confidence()} elif self._input_state == InputState.PURE_ASCII and \
self.ESC_DETECTOR.search(self._last_char + byte_str):
self._input_state = InputState.ESC_ASCII
self._last_char = byte_str[-1:]
# 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
# 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 self.done = True
break break
if self.WIN_BYTE_DETECTOR.search(byte_str):
self._has_win_bytes = True
def close(self): 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: if self.done:
return return self.result
if not self._mGotData:
if constants._debug:
sys.stderr.write('no data received!\n')
return
self.done = True self.done = True
if self._mInputState == ePureAscii: if not self._got_data:
self.result = {'encoding': 'ascii', 'confidence': 1.0} self.logger.debug('no data received!')
return self.result
if self._mInputState == eHighbyte: # Default to ASCII if it is all we've seen so far
proberConfidence = None elif self._input_state == InputState.PURE_ASCII:
maxProberConfidence = 0.0 self.result = {'encoding': 'ascii',
maxProber = None 'confidence': 1.0,
for prober in self._mCharSetProbers: '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: if not prober:
continue continue
proberConfidence = prober.get_confidence() prober_confidence = prober.get_confidence()
if proberConfidence > maxProberConfidence: if prober_confidence > max_prober_confidence:
maxProberConfidence = proberConfidence max_prober_confidence = prober_confidence
maxProber = prober max_prober = prober
if maxProber and (maxProberConfidence > MINIMUM_THRESHOLD): if max_prober and (max_prober_confidence > self.MINIMUM_THRESHOLD):
self.result = {'encoding': maxProber.get_charset_name(), charset_name = max_prober.charset_name
'confidence': maxProber.get_confidence()} lower_charset_name = max_prober.charset_name.lower()
return self.result 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: # Log all prober confidences if none met MINIMUM_THRESHOLD
sys.stderr.write('no probers hit minimum threshhold\n') if self.logger.getEffectiveLevel() == logging.DEBUG:
for prober in self._mCharSetProbers[0].mProbers: if self.result['encoding'] is None:
if not prober: self.logger.debug('no probers hit minimum threshold')
continue for group_prober in self._charset_probers:
sys.stderr.write('%s confidence = %s\n' % if not group_prober:
(prober.get_charset_name(), continue
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 # 02110-1301 USA
######################### END LICENSE BLOCK ######################### ######################### END LICENSE BLOCK #########################
import sys
from . import constants
from .charsetprober import CharSetProber from .charsetprober import CharSetProber
from .enums import ProbingState, MachineState
from .codingstatemachine import CodingStateMachine 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): class UTF8Prober(CharSetProber):
ONE_CHAR_PROB = 0.5
def __init__(self): def __init__(self):
CharSetProber.__init__(self) super(UTF8Prober, self).__init__()
self._mCodingSM = CodingStateMachine(UTF8SMModel) self.coding_sm = CodingStateMachine(UTF8_SM_MODEL)
self._num_mb_chars = None
self.reset() self.reset()
def reset(self): def reset(self):
CharSetProber.reset(self) super(UTF8Prober, self).reset()
self._mCodingSM.reset() self.coding_sm.reset()
self._mNumOfMBChar = 0 self._num_mb_chars = 0
def get_charset_name(self): @property
def charset_name(self):
return "utf-8" return "utf-8"
def feed(self, aBuf): @property
for c in aBuf: def language(self):
codingState = self._mCodingSM.next_state(c) return ""
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
if self.get_state() == constants.eDetecting: def feed(self, byte_str):
if self.get_confidence() > constants.SHORTCUT_THRESHOLD: for c in byte_str:
self._mState = constants.eFoundIt 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): def get_confidence(self):
unlike = 0.99 unlike = 0.99
if self._mNumOfMBChar < 6: if self._num_mb_chars < 6:
for i in xrange(0, self._mNumOfMBChar): unlike *= self.ONE_CHAR_PROB ** self._num_mb_chars
unlike = unlike * ONE_CHAR_PROB
return 1.0 - unlike return 1.0 - unlike
else: else:
return unlike return unlike

9
thirdparty/chardet/version.py vendored Normal file
View File

@ -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('.')