Result for 01099262C7C021F1D0A30C4DF7E10D4B345037DA

Query result

Key Value
FileName./usr/share/doc/python-jieba-doc/examples/test/test.py.gz
FileSize2543
MD548A39D2E5E851E28409146F8ED5E97FB
SHA-101099262C7C021F1D0A30C4DF7E10D4B345037DA
SHA-256A7D0D329AD70985B00D3B405758ABD625782BB19AF83733F0FAF1EA4109E5D85
SSDEEP48:XP+N7MMafSIDstvGVICb9SnkwS8500IhNTf4no:/+eRfzge6xHS8O0Ih2no
TLSHT1FA514C1EB12A594CAD49229D6227D0744B442283CFC779C1A3B174DB1CCB54E16781BF
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