Result for 00F32C5E85057E648B78DF5D695997F99590C53D

Query result

Key Value
FileName./usr/lib64/python3.3/site-packages/numpy/polynomial/__pycache__/__init__.cpython-33.pyo
FileSize1484
MD5BDDE9B320279330AC8E0827613CD20B9
SHA-100F32C5E85057E648B78DF5D695997F99590C53D
SHA-2564140E5192225CB9ABD6E695767D5ED7C2A8E0F6E0DC0D4267C255B5E7C9A1220
SSDEEP24:NsIIzoqsZonOUNT3yt2HVgc9YXjn9TSHWeVX3vxJmtEXFUBxviykMbbv5Zi5XAvj:WFzoqsnUT7H6cazn9m2e93JJmtFhoMnP
TLSHT1BD3152E206BC27F7C47B63B1A8542272AFBEB09DA9155502224E1CB91693A33B77F104
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
MD5F43FACB3567683951790F3BE5441A286
PackageArchppc64
PackageDescriptionNumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainerFedora Project
PackageNamepython3-numpy
PackageRelease2.fc19
PackageVersion1.7.1
SHA-16E7FD7E9E168126EDDD9DFDF156F6619493607C4
SHA-256E6464D8F868D61B70F010F7CBC198252B4D3F835A15F3A25EE1DC16942DF528A