Result for 04501A940D40416E75ED63948DD908396ADA6B3E

Query result

Key Value
FileName./usr/lib64/python3.3/site-packages/numpy/lib/tests/__pycache__/test_financial.cpython-33.pyo
FileSize4523
MD54E7CD5749B8B4C69005646C066F54754
SHA-104501A940D40416E75ED63948DD908396ADA6B3E
SHA-256E1518A3F0BC5CD71280F1C9362B50624AE50101EA5C6B88BC58EA00887925645
SSDEEP96:nsOCTFK4GUvP8+8z/XS5IwySwcTHECVqq:nrooOm2yMHE+b
TLSHT10991DEC3D7EE89D9D1F2097A92414226DE73FCD37E04B7514721A4DD3BC825A08EEA44
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
MD588890C709514BFAB5729992B9A006FC9
PackageArchs390x
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
PackageRelease6.fc18
PackageVersion1.6.2
SHA-189EB4311CA7D8751E5C591999C3A5DAC6DCB5F7C
SHA-2561C6FD6C0F753287F590AF40DD6FC168F8703923A18B34ED7549AB78779B08F61