Result for 00CBE7ECE08FB3B45EEB7843FBCF63FA8D933674

Query result

Key Value
FileName./usr/lib64/python3.8/site-packages/numpy/linalg/__pycache__/__init__.cpython-38.pyc
FileSize1994
MD5F601EF0854572E2AE566285D04E23F59
SHA-100CBE7ECE08FB3B45EEB7843FBCF63FA8D933674
SHA-256594F74081CB09576750A7BA836B2FAF84DB7F9BD382C767072C94EE3F1C79C2E
SSDEEP48:cieGOO6rozz9+uTywDdNRMUuigNGQIl2L/:jROO4on9V1DGVGQFT
TLSHT1BB41842B7F1413F0EB53D4B46C8F505AEF36917E6762411080A411A91FA7B1502BE787
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
MD5BE49E6C5C9B2868BBA0A3F79F3768BED
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 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
PackageRelease2.1
PackageVersion1.18.2
SHA-1B99E940C0FC68F1D93A4A3534AC677922264762C
SHA-256E983C7D5F3C3521B62478FB44FFD49348198371E0A3C4142F4435B2B6F368DB2