| Key | Value |
|---|---|
| FileSize | 5100308 |
| MD5 | 0C5618A8AFA39915E92C17BCEC64303E |
| PackageDescription | Jieba Chinese text segmenter (common documentation) "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. . This is the common documentation package. |
| PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
| PackageName | python-jieba-doc |
| PackageSection | doc |
| PackageVersion | 0.39-1 |
| SHA-1 | C3AB9B0C7ABB82F2B8644EA3E8A02273AEE8878D |
| SHA-256 | 263FD972A1DF8224076D95537DF9C5D65978B1FCBB8EE859C3D8ECBFC2730665 |
| hashlookup:children-total | 44 |
| hashlookup:trust | 50 |
The searched file hash includes 44 children files known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-jieba-doc/examples/test/test.py.gz |
| FileSize | 2543 |
| MD5 | 48A39D2E5E851E28409146F8ED5E97FB |
| SHA-1 | 01099262C7C021F1D0A30C4DF7E10D4B345037DA |
| SHA-256 | A7D0D329AD70985B00D3B405758ABD625782BB19AF83733F0FAF1EA4109E5D85 |
| SSDEEP | 48:XP+N7MMafSIDstvGVICb9SnkwS8500IhNTf4no:/+eRfzge6xHS8O0Ih2no |
| TLSH | T1FA514C1EB12A594CAD49229D6227D0744B442283CFC779C1A3B174DB1CCB54E16781BF |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-jieba-doc/examples/test/extract_tags_idfpath.py |
| FileSize | 594 |
| MD5 | 17B76F6D1ECD07D4ED64C20A7F56E467 |
| SHA-1 | 0E3F1238D839FEE1560ED1E4DB98CB8163227DC0 |
| SHA-256 | 808D10BFF0C3DB8EDEB78BB3D7E26399A877FF2C7E9E62812C4D901738876C6E |
| SSDEEP | 12:kkBaBq6uXNN1nnKgun5gyihaRgkQXhorlRdtT3ivi:kkE/oKg85XihuugdtT3ivi |
| TLSH | T102F0AC4110E11120CB0582C6ACAC3862C7776962AFC59A322B047659AFC1A60EBD2624 |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-jieba-doc/examples/test/userdict.txt |
| FileSize | 151 |
| MD5 | C9DC30755C983AF7FB436A850865304C |
| SHA-1 | 160E191A880299FF0944E660F350A2165746D8D4 |
| SHA-256 | 67B204DB82EE54172DDFFBCDD4D16B8918574D9456B2727A9C17D62C2823F62A |
| SSDEEP | 3:20LEPKDqFXYFQUnLWgLSvNdNQcmvwAUHL0HU0rFQWNv:2yXqtoQ+WgG7Ngmr81GWNv |
| TLSH | T11BC08C9CAC4A38A962C0A0D0A14999D5480E6890E49BF06F269361690854DAFF804043 |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-jieba-doc/examples/test/test_no_hmm.py.gz |
| FileSize | 2482 |
| MD5 | 4D5E488A5A42E0049079F1240000DAC4 |
| SHA-1 | 17810ABB31BCAF9E03F802898869ECCF961F8963 |
| SHA-256 | 8D0307401D7FD0F6559284DF0C271A76A02E298C823B8A571BA2A1ACBC959C36 |
| SSDEEP | 48:XWoieVtsTucQ/TXhq35gYjFhcGzOc6bbVMQjd1u9QC7hM/lfYJ7t/HlcMagjP3zu:moXVKuc4Xh/4PcG8dU9Qo8wXl1T3Mb |
| TLSH | T1D7515B3CFF30DC12E21C297364E38D1874BC5E6F43CB2018B43C6AA57536F2A829A5A0 |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-jieba-doc/examples/test/test_tokenize.py.gz |
| FileSize | 2621 |
| MD5 | 411D5729F50A3C7DAEF0BB7C54863FF1 |
| SHA-1 | 200B662256EA3C51657856D10954A7C4495CE55D |
| SHA-256 | 8952775DDDABF336520CFA14CBBD1372B4B6FA483E0A144652CA6BF36AF7D8D9 |
| SSDEEP | 48:XOVu87m03CNnhKT+S/NrfcWoL54GLgt5/yd1uPrZNr+beB+HOvl6n00/Un:uucmHNhKThNYWs5FLgt5dL+iB+uvoL8n |
| TLSH | T1F5516D65D73BFAC270FF1218E2BB09E1030D16DCB0D9E0E2D21151F1EA7CC142442956 |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-jieba-doc/examples/test/parallel/test.py.gz |
| FileSize | 2396 |
| MD5 | 5B8F980A97B8CE801936AC68450203D5 |
| SHA-1 | 2D058203BD467AFBA8A995EC8F8FBCD14B2D6D54 |
| SHA-256 | B1D2FEA56F72A108CF4AB53B2BE9A6D90243D2BC0FFB48EA120F14E257925579 |
| SSDEEP | 48:XqBsOscG+ynNjxCPRTkUj6n+d0yk3p7sn1FFPGjteKcUZBxqu8cuEyfv8truaMi:6GnciNMP1VEzySscxn8LEBp |
| TLSH | T165415DA5CCF2FD4E3A116792A751C61A00AFA5F5828215F1CED3558AC44D46B2BC6DD0 |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-jieba-doc/examples/test/demo.py |
| FileSize | 2678 |
| MD5 | C974FC64EB68BB591039A5311D7F1BBF |
| SHA-1 | 2D8E039AFD6E3D83CCFB412449D80A30505928F6 |
| SHA-256 | 301594AF8F199F654578316E8E385F075C599D99D434F1FE9BF6A15D2281B222 |
| SSDEEP | 48:6u/kuCR4X44IGGiyx1xDzh3ztoi7LVlfQFN2dywo4wnH14Oxpzv4Ou:f0AoJNtoi7h9Qboywzwnr4 |
| TLSH | T1FA51985235FA260C15C1C1CBE3AC61023507EE4EA2FD3C649B514AD7C972AD6B7B503E |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-jieba-doc/examples/test/test_multithread.py |
| FileSize | 830 |
| MD5 | B63D05B75E8512362FBD5B17EC8237F1 |
| SHA-1 | 2E8B501B968696A8D1A08AFCCC2736A48B4ECF92 |
| SHA-256 | 18857F6073DAE96CED204AF16F286A5DB3091BEADC3E9C60823CFBED66240C8B |
| SSDEEP | 24:IkOiuil8ugIEdu9JqEur86EhQFyxSReTE8rK:9Oiuo/z0miyxGeQ |
| TLSH | T14E01892699E7140C66C2CB8BB2909331951ECDC324992470BF6C9B29CFF6E1943D287D |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python3-jieba/copyright |
| FileSize | 1345 |
| MD5 | 41D217FEA84A29F46874B8C248EE2B80 |
| SHA-1 | 34370508DA3F64A3318420F45FE41FC520F0D079 |
| SHA-256 | 0340D11E17D8A98172D4B7BC7231C89C4407AD5C02ED33846F2A3574E85D4D9B |
| SSDEEP | 24:gttYBBQrOJH5H0FIP3gtCZHc1h79QHlQsUu8Ok4UxdjNo3Fqvqy2FD:hTQKJR7vECyxQHlQshILXj23wn2FD |
| TLSH | T1B921DB2FB3D413E11D8223E175B8BCC8B32B715AB9BF5684802DE140233942D91FB454 |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-jieba-doc/examples/extra_dict/idf.txt.big.gz |
| FileSize | 1310393 |
| MD5 | 5BAC0074E2F57D91E7024010DB4DC8FE |
| SHA-1 | 37A88BA55CF5E0C85FC2D7D113C22A9A4A28505C |
| SHA-256 | 530672D42574263B316E126778B00BC56B292DA2B2A226E42CDA3447F6BF886F |
| SSDEEP | 24576:0+66fS7RCIPCh3ZNQ/dC24JVltyGxSqRf5t4c7jIM3oHdC3VSx9L8HvHmPhxAmoY:0+6OS7JK3NQ/dChptyuzkMSdC3kXL8Hi |
| TLSH | T1E45533ACD618A90CF62203AA7F61DE0A8A9EFE51511F55322CBF395D2CF8B58F0D05D1 |