Result for 2D058203BD467AFBA8A995EC8F8FBCD14B2D6D54

Query result

Key Value
FileName./usr/share/doc/python-jieba-doc/examples/test/parallel/test.py.gz
FileSize2396
MD55B8F980A97B8CE801936AC68450203D5
SHA-12D058203BD467AFBA8A995EC8F8FBCD14B2D6D54
SHA-256B1D2FEA56F72A108CF4AB53B2BE9A6D90243D2BC0FFB48EA120F14E257925579
SSDEEP48:XqBsOscG+ynNjxCPRTkUj6n+d0yk3p7sn1FFPGjteKcUZBxqu8cuEyfv8truaMi:6GnciNMP1VEzySscxn8LEBp
TLSHT165415DA5CCF2FD4E3A116792A751C61A00AFA5F5828215F1CED3558AC44D46B2BC6DD0
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