Result for 02D5D65529BD0951AF6B611D03C05BC58E3C2C58

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/numpy/compat/__pycache__/_inspect.cpython-36.pyc
FileSize7666
MD53DCD1AC328126DC92F655AAC0B499B10
SHA-102D5D65529BD0951AF6B611D03C05BC58E3C2C58
SHA-2562DAA8DB8FD926CD317F164E3AF847DF281D37FF9E4F5814EDAE98140B322701E
SSDEEP192:sF+G3iBwOUqejHquNlUqjJAuF9x8HYqx57QqDA+zVK8q1I0CWC+qCqMqQ06pqpqr:sFLnFqejHquNCqjVF9JqzQqDbzVZq1vb
TLSHT1B5F1B7CA72817ADAFC37F1FC815F56108764E137330461A6B09CD29E2F8396C89B2C99
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
MD579913F8AED1EA8CDB980D5703FBFBB7D
PackageArchaarch64
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
PackageRelease1.el7
PackageVersion1.12.1
SHA-189A376363893932DA559CD10BE365D9324A5A334
SHA-256296509B21BE3405F704770566DE40ECC5F67D7C7DD016F705B408735E60B7544