Result for 04D5B747B537C620643DC503D2C850E04F9ADC84

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/numpy/core/__pycache__/arrayprint.cpython-36.pyc
FileSize20372
MD5E40A27C5E41EB2440532DF23AB36C235
SHA-104D5B747B537C620643DC503D2C850E04F9ADC84
SHA-2561E0D18E8FBED3E2BB4D46C867852B2CA7EB1678ECE7B60B536FC7F0CB18A7CF1
SSDEEP384:Z0kxCLVODJtV1FMSg7fODvL7psux83FJbk3UtaAZ:Z1xCLVK71MB7fK/g3WUtaw
TLSHT1C392E74A65819F5FFD13F3FAC0DA025D9B39A17B53983296700C82AC0F52B985979BCC
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
MD598C2D23AE8626687A46F08BD8DA65635
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
PackageRelease7.el7
PackageVersion1.10.4
SHA-16A46B1CA0C80AD2FC9A8DF05451E9BD13C7104F9
SHA-25614CFA64D82764CC7EA25F19B74A1C8B41DE4D2D28E1CC82F2692E7AB628A7B6E