Result for 06D0C3D7113FB3937F1A3EEBA1F613F1F6635165

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/numpy/lib/__pycache__/utils.cpython-36.pyc
FileSize26651
MD5287E26B612CE62C02BDC04F3A853AD67
SHA-106D0C3D7113FB3937F1A3EEBA1F613F1F6635165
SHA-2565987EA5AA6DC70F34F36D3888B7CABE8AD6A1006CEC6EE1FBA37EF4E8EFA89F6
SSDEEP768:UJ8FCitznRH4Q6XB4Wvy5T8lV8sNEm3uI:ltznRH4Q+G6oT8lEm3uI
TLSHT1F4C2098A2D425A6BFC62F3F211CF4153DB30A23BA3486856708DD2F91F057A649BE5DC
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
MD5F3D0ACF4935B1B8F2066C0521F325F84
PackageArchx86_64
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.
PackageMaintainerFedora Project
PackageNamepython36-numpy
PackageRelease7.el7
PackageVersion1.10.4
SHA-16C60DFDCE9572BC86A49FE9E3FFC02E0555D2A2A
SHA-256CEADEA5F1972E94D8966C76B7CA4FC27EFCD0B300AE1D5D3006AE43BE9028FB8