Result for 200B662256EA3C51657856D10954A7C4495CE55D

Query result

Key Value
FileName./usr/share/doc/python-jieba-doc/examples/test/test_tokenize.py.gz
FileSize2621
MD5411D5729F50A3C7DAEF0BB7C54863FF1
SHA-1200B662256EA3C51657856D10954A7C4495CE55D
SHA-2568952775DDDABF336520CFA14CBBD1372B4B6FA483E0A144652CA6BF36AF7D8D9
SSDEEP48:XOVu87m03CNnhKT+S/NrfcWoL54GLgt5/yd1uPrZNr+beB+HOvl6n00/Un:uucmHNhKThNYWs5FLgt5dL+iB+uvoL8n
TLSHT1F5516D65D73BFAC270FF1218E2BB09E1030D16DCB0D9E0E2D21151F1EA7CC142442956
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize5100308
MD50C5618A8AFA39915E92C17BCEC64303E
PackageDescriptionJieba 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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-jieba-doc
PackageSectiondoc
PackageVersion0.39-1
SHA-1C3AB9B0C7ABB82F2B8644EA3E8A02273AEE8878D
SHA-256263FD972A1DF8224076D95537DF9C5D65978B1FCBB8EE859C3D8ECBFC2730665