Result for C54E1660170B37ADF5B95225FCCBF6121C415E04

Query result

Key Value
FileName./usr/lib/python2.7/site-packages/lazyarray.pyo
FileSize21074
MD540C40B74FC8993EDF3FFE08766554622
SHA-1C54E1660170B37ADF5B95225FCCBF6121C415E04
SHA-256084F2A64DE840E2EF59E07CEDE8C3C4AE7DF93A4468F87D81812D1431605139D
SSDEEP384:YNZYn9o7g+09oVUatF5fPKNCR40zUgyg464vH0xaor:YNZYn9+g+02htF5fPKNCR40ggL4LHCf
TLSHT156924080B3E506BFD5988531A1F0225B9EB6F07362023781367DE97A1FA4766C53E3C8
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
MD5FBC11C82E2576DDEFB837C0A633CF0AA
PackageArchnoarch
PackageDescriptionlazyarray is a Python package that provides a lazily-evaluated numerical array class, larray, based on and compatible with NumPy arrays. Lazy evaluation means that any operations on the array (potentially including array construction) are not performed immediately, but are delayed until evaluation is specifically requested. Evaluation of only parts of the array is also possible. Use of an larray`can potentially save considerable computation time and memory in cases where: * arrays are used conditionally (i.e. there are cases in which the array is never used) * only parts of an array are used (for example in distributed computation, in which each MPI node operates on a subset of the elements of the array)
PackageNamepython2-lazyarray
PackageReleaselp150.2.1
PackageVersion0.3.3
SHA-123980225591C34E7437B479AC9BB8A05081BC9CF
SHA-2566C0F8E05583A7653886DE4833CB5245BE6FB7020529777FE63949F9FCCF8346D