Result for 00F7CF31EDFBC6003C6D78C957265ADC928F5200

Query result

Key Value
FileName./usr/lib/hpc/gnu9/python-numpy/1.18.2/lib/python3.8/site-packages/numpy/core/__pycache__/__init__.cpython-38.pyc
FileSize3908
MD5415481ECB567B1E8BFA861D2D05C5487
SHA-100F7CF31EDFBC6003C6D78C957265ADC928F5200
SHA-2568E7F1030955B7C2420CB3B38187F2043FD96D8590A28E13D5C4FEBB6F736F831
SSDEEP96:HwjDbd/a4NhpMk4C7FvlK+DCze5exRMJr3fj:H4bdLGOpvNvexWTb
TLSHT12C81C71A84072635F8DAF37F14064116DF719AB6A3D038385E1E90A38B8479A77332FD
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
MD524D30A3394F1A528F2996BF506EA4F55
PackageArchi586
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 which also makes NumPy suitable for interfacing with general-purpose data-base applications. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation.
PackageNamepython3-numpy_1_18_1-gnu-hpc
PackageRelease2.1
PackageVersion1.18.2
SHA-12A291879761F992106202C81FF126BF0985C7653
SHA-2561837C1988EF3A8567D557E876E515DE793E55CACFBE8E3FD4D7F2341D5AC45FD