Result for D04D9B8FAC8747F107F3983E1DC77B8E0F2AD68B

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Children (29)

Query result

Key Value
FileSize4929772
MD500D4DE9324ED96F64F0DFBEA8539DACB
PackageDescriptionJieba Chinese text segmenter (Python 3) "Jieba" (Chinese for "to stutter")is a high-accuracy Chinese text segmenteran based on HMM-model and Viterbi algorithm. It uses dynamic programming to find the most probable combination based on the word frequency. . It supports three types of segmentation mode: * Accurate Mode attempts to cut the sentence into the most accurate segmentations, which is suitable for text analysis. * Full Mode gets all the possible words from the sentence. Fast but not accurate. * Search Engine Mode, based on the Accurate Mode, attempts to cut long words into several short words, which can raise the recall rate. Suitable for search engines. Traditional Chinese and customized dictionaries are also supported. . This package installs the library for Python 3.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-jieba
PackageSectionpython
PackageVersion0.39-1
SHA-1D04D9B8FAC8747F107F3983E1DC77B8E0F2AD68B
SHA-256B17C16581861E9B2345052B690E044E10D451FFED1888F9926B5FE373500FE90
hashlookup:children-total29
hashlookup:trust50

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Children (Total: 29)

The searched file hash includes 29 children files known and seen by metalookup. A sample is included below:

Key Value
FileName./usr/lib/python3/dist-packages/jieba/analyse/analyzer.py
FileSize1403
MD51F5A34212445EBBC9922851DDAAB37F7
SHA-103E457E3C28017CB595F5E1CC06888C4936BA402
SHA-256461244A181ABE1398D85CB4763372007B4ECDFA7CD9B6EEC62879190D4950E9D
SSDEEP24:GagP8luBhLe2I+e4RBRNmeTJqlo8e9+NtvUYgCe0RFL0TOeXeKA6rMahev:DiuuXIyRceTwReEHv/gWcRXNA6QaG
TLSHT1BD21DC4FE9BE2119DEA4FAC1FC66DE2046E9A503CC08D98D7A4C5B809F5550684F7468
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/lib/python3/dist-packages/jieba/posseg/char_state_tab.p
FileSize2113902
MD5F52EA54AC480E2B150F4E283346CCECE
SHA-10474805D1D6E4A8C3F37D1C923CADDC87A3C9C1D
SHA-256C0EF4BB3D698EED188225D430AC291000B30C3D6E253A538D26B7AC9687424B1
SSDEEP24576:Zjh51FHL05QnFNbrTd+RDVziYLDA6V1Zz8ZT:p
TLSHT176A5335D4FB4E8C3D62195FF05F959A2503B583229339C9719CA29A4CE7A233F30963B
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/lib/python3/dist-packages/jieba/analyse/__init__.py
FileSize501
MD56A236C068EED328673E485DFB4DB3102
SHA-11EC5A61117E9DFD14AB67202BBC334E0AB635347
SHA-256E136293CB1979BED752085887C98368500566BFB45036A88B09998B913E70301
SSDEEP12:1RjCfXso2x6dHBRw7PDdMmi0bDD0DiAYiEDjeDiANNub:1R2kodPwemi0JiE3uwb
TLSHT1DDF0E936A1E39B31C06AF44C455A5DD7D2215E677705F0393DD4D3B307802A8CC8D994
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/lib/python3/dist-packages/jieba/analyse/tfidf.py
FileSize4310
MD5048739B8478330D4709BE462E8CE7448
SHA-124D8E60E57DCE0828AA1C01691E90AA6B8723E60
SHA-25668DD362657C0EDC29616E8F883449208D14B2B4756D1605022EF086489F8B4AE
SSDEEP48:DiaNGzcTb9YCysvTNTjrqvTCzu7DjtgepoHhBBoUyC7LH7vFp5zwyW9g8X6pIK4G:DtGweSTNTj2TCK7DjWyC7Xd/4a4G
TLSHT1B191739555A65811C37BE7165A42A8837B0CE9B3C60C9231BEFC13706F889798AF1EF4
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/lib/python3/dist-packages/jieba/finalseg/prob_emit.p
FileSize1275441
MD5AF559155AA22BB04CEE74C5217572947
SHA-12AA733923C5D8B451AC46549C384664E250200A0
SHA-2561E1D1D835B0C77D234ACAA6AFA23A13FFCE597A295BE0D7A1ECE6A0D440DCF08
SSDEEP6144:zzkJHDQ0Flg6wr136tX94ENPWBU1wTqXnuXUaGKhI6Xl:zAjQIlyrZ6tDRW+1gQuXjG12l
TLSHT19745659D7BF434F1E2A183CF4E3AA976266760B122171AAF01D413CC1E6ADE5FF05489
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/share/doc/python3-jieba/copyright
FileSize1345
MD541D217FEA84A29F46874B8C248EE2B80
SHA-134370508DA3F64A3318420F45FE41FC520F0D079
SHA-2560340D11E17D8A98172D4B7BC7231C89C4407AD5C02ED33846F2A3574E85D4D9B
SSDEEP24:gttYBBQrOJH5H0FIP3gtCZHc1h79QHlQsUu8Ok4UxdjNo3Fqvqy2FD:hTQKJR7vECyxQHlQshILXj23wn2FD
TLSHT1B921DB2FB3D413E11D8223E175B8BCC8B32B715AB9BF5684802DE140233942D91FB454
Key Value
FileName./usr/lib/python3/dist-packages/jieba/posseg/prob_trans.py
FileSize247312
MD559676B3B4E2F9674A5F8C86FB9EF261F
SHA-14D7F2FD9F70A2DB0A2B64B367B8FA0E518387189
SHA-25624328E8B81388F3B0EED6127F597CAD8EF9F54CBD44EFE1DB486E0C2DDD0CBBC
SSDEEP1536:SNCLlnj7iWWkUPUPuo8Du4MW680BJTjqklfcAx/uU19CL47DIvZlWJtuAzoT/FgA:9g
TLSHT1DE349348650B50AA632DEBAB40BA11401CDCD26FEE05B099B36D15D9CFBC87E2531FF9
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/lib/python3/dist-packages/jieba/posseg/viterbi.py
FileSize1610
MD5ADA47B4EE93FD109972C5DE60B87C5AD
SHA-1563794DBBBE3153540B3A50040448D890CE5DB23
SHA-256AAA6DC08186CD4BFFCBDFC4E1602A1C7C22E7176B5E532DAB595CE08BF3329E7
SSDEEP48:kE5OmTYYOKCCDEzX5uza5r6zgnHd1Cmv/f:kVhcZGEe5egnb9v/f
TLSHT1F131D9663981244D9E435C1A84DFD031238ED4B3AA1126503BDE8F64AF420AEA3EC9F6
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/lib/python3/dist-packages/jieba/analyse/textrank.py
FileSize3772
MD5B087B62365788DC610791218F7C450D3
SHA-15DD0C30E84BE2BBC165BEB78FC72AF1A87FBAB15
SHA-256B0709B5032453622EB8EA6B87845B0CC40EAC1B5301DEECC80ABA530B64B16C4
SSDEEP96:LtciprB8tG+H3gXGNub797ld1RkYkK7KbdNV:LucBL+oldnGHV
TLSHT1A8713325A5A3BA20D39765BB89C3D007B309BC17D90DB52CBDBC52B46F038A5D2B4E74
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/lib/python3/dist-packages/jieba/analyse/idf.txt
FileSize6200957
MD5F558331AA8F5D33AE352532978BE8FBB
SHA-15E65A3F3D492F8E0757428BEF3C5533BFDED4EE7
SHA-256501B70EC56C34D90F3F590F1918CA4B1BD617D5B46CD99BD6D17C7DE6E4F80ED
SSDEEP49152:j5FLhQq2k7qNx93D6XbAXr5ubNfHht814NOKWj:FFLhQq2IqNf2uKllOKu
TLSHT17D5651C3A38E3678F986B7BD298CDB05F875043E5B3BA42859D38E95FF819412D29341
tar:gnameroot
tar:unameroot





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