Result for 59CCD04FE8A44DB4A5846CB8C89F936A587FF349

Query result

Key Value
FileName./usr/share/doc/python3-jieba/changelog.gz
FileSize3164
MD5E4A61947C9C5C343D511FA1F70A1523B
SHA-159CCD04FE8A44DB4A5846CB8C89F936A587FF349
SHA-256161A11F3F688FB9FD90A9E7565F4BA14B0986BFAB8053770B86790FACEEC6FC3
SSDEEP48:XP7Tj0N+xMXA9+Fz+VmhNMYrq+0jLR1NBVYSzFzy+oly116itS1RqwWuWUvr7S:f7HxxcA9MzEmhhrq+0jLR1X6Szf4inWC
TLSHT1FD516DE945CC4702D791201A14FD8881DA7A0444A7FB7D056A6D5E5FA70CB33FE44C8B
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