Result for 05B68DBBAAB730CCA149EFBE940A4C2D0C2413DE

Query result

Key Value
FileName./usr/lib64/python3.4/site-packages/numpy/lib/__pycache__/npyio.cpython-34.pyc
FileSize59953
MD5A0A4C77B2C1A50D20C4F37E63563DD61
SHA-105B68DBBAAB730CCA149EFBE940A4C2D0C2413DE
SHA-25641F29D5F5B5ABAD278CA6EEE6A9C19E390D2CAFDD3BC3F926D3E7164421CE2C8
SSDEEP1536:VV3QXEiCZZMF+MpAtDaziYR1OczecUwrq3XzwiOew4UB0UxaQ:P3QUiCCdpA4t1pzBPqHzwiOeBI3d
TLSHT1FE43A4023B81026BF692F1F4A1BE5242EB31D15F2311274275BDD1B83FD5F6598BA2E8
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
MD5E1BF1D102823E2FD7B3EF70FAF964482
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
PackageNamepython34-numpy
PackageRelease1.el7
PackageVersion1.12.1
SHA-1D3B72ACD21CBAFACF33E5234864C2EA5B12C9B7D
SHA-25680FD522DE91D948F05F3DDEA15D3B5D1AA48FA707C8E6A07658021C15DEC8F4C