Result for 03F0127BAA908FE02A7DCDAA1AC3D6F16BF404AF

Query result

Key Value
FileName./usr/lib/python2.6/site-packages/nltk/metrics/segmentation.pyo
FileSize7250
MD5C53D5B2829CFCF7D2A931E33ACF09114
SHA-103F0127BAA908FE02A7DCDAA1AC3D6F16BF404AF
SHA-256172505C4B82D40A63807C1CCA48D9AEDD9AA1D51BB6F577CC6CD4533DC7CFB7C
SSDEEP96:YCZ1UkSnlC3Gzk9nCBQGkrW4W1LPCL0+4FY6qEBQGabITCKA4dWjWyWEzMnTgtbQ:YC+EDSPw9l+CKA4dWN3ASyUAv
TLSHT140E1629855D4426BD9A740B352B932575932F2BBB2C04A11734CF9741F85F7C8A2F38D
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
MD55F5FC1EE529BCE657164E2918CDB34DC
PackageArchnoarch
PackageDescriptionNLTK is a Python package that simplifies the construction of programs that process natural language; and defines standard interfaces between the different components of an NLP system. It was designed primarily to help teach graduate and undergraduate students about computational linguistics; but it is also useful as a framework for implementing research projects.
PackageMaintainerFedora Project
PackageNamepython-nltk
PackageRelease2.el6.1
PackageVersion2.0.4
SHA-1C98B7197BE70B4E93C96209987E477D2ADE3CF89
SHA-256553166B44ECDAD670B0732F4B811E8FE84FB5BD9E86B5891E1B219F49D5A7204