Result for 01A13DCBCE41258300ACB8E3BF8E797F4F2C7CD5

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/numpy/lib/__pycache__/stride_tricks.cpython-36.pyc
FileSize6057
MD516B2E34A9A00413A7A06EC20BA6A99B5
SHA-101A13DCBCE41258300ACB8E3BF8E797F4F2C7CD5
SHA-25687B30287C7384AF91D5D0F906FE4B59B7EA42062E1DDEDBD5414DF95798F69F2
SSDEEP96:9mi8PSgM9ZUCXlxNykQkW4pMvqcfYj40vBNEz/eICV+xAVFmph4g3J1r3l9v1RhU:gsaCX1QkW4pMSXMwv2GkxSuZ5BJnRZKz
TLSHT1C1C1B584AF9A0FBEFD52F2F6E1C91A6AC620413B464CD102309F6D953F0D6AD1A791DC
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
MD596F1E09D933D373B32E122AE47C30A69
PackageArchppc64
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-1B1CCAA7A355D9E011C723E3E00B47E8446A7886C
SHA-256FB2DEBC3E677C4BABA71F9C43D29A4E385AF2D7FB2533258136DE29C102403E0