Result for 09F57984C6D3FEACB67683DE440524FD7971C5E2

Query result

Key Value
FileName./usr/share/doc/python3-jieba/changelog.Debian.gz
FileSize497
MD581BB385D54742C095561A2E047939E6D
SHA-109F57984C6D3FEACB67683DE440524FD7971C5E2
SHA-2567AFCF84F7FF08BB7A62D781CCEB058596DCB722E6A360978125467E96FE514B7
SSDEEP12:XrLjOP9HjgxIcEEsM1t7tvaDZyDdq/b5jWJa:XrAxcxI8tIFGET5qg
TLSHT14DF0542B94661732CFB002FC487A2CEA9918EF137176E8D531D7C80855BD5A90BA1E29
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize4932708
MD56C9F70C5E27FE08F80DA9DBA5627B26E
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.
PackageMaintainerDebian Chinese Team <chinese-developers@lists.alioth.debian.org>
PackageNamepython3-jieba
PackageSectionpython
PackageVersion0.39-4
SHA-106067F2E2FE8DA9DE9C7EC0D6DAAD2D194038FB0
SHA-25616B4B201491B672B887265E4A289C3B9D20EF7992BC2A72657D8C10EED337829
Key Value
FileSize3565392
MD5E70298325EEE8A447C3A3996D9601F85
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.
PackageMaintainerDebian Chinese Team <chinese-developers@lists.alioth.debian.org>
PackageNamepython-jieba-doc
PackageSectiondoc
PackageVersion0.39-4
SHA-1B5977AB99C9EB801350C8B61441812E13668AC0C
SHA-2566CE9268EF0ADAC884217BBE0ECDCAD3F6E06523CB6971C4300F24E4560440117