Result for 17810ABB31BCAF9E03F802898869ECCF961F8963

Query result

Key Value
FileName./usr/share/doc/python-jieba-doc/examples/test/test_no_hmm.py.gz
FileSize2482
MD54D5E488A5A42E0049079F1240000DAC4
SHA-117810ABB31BCAF9E03F802898869ECCF961F8963
SHA-2568D0307401D7FD0F6559284DF0C271A76A02E298C823B8A571BA2A1ACBC959C36
SSDEEP48:XWoieVtsTucQ/TXhq35gYjFhcGzOc6bbVMQjd1u9QC7hM/lfYJ7t/HlcMagjP3zu:moXVKuc4Xh/4PcG8dU9Qo8wXl1T3Mb
TLSHT1D7515B3CFF30DC12E21C297364E38D1874BC5E6F43CB2018B43C6AA57536F2A829A5A0
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