Result for 016B919007E0F32D3BEA7125FB4A0CBBD8DFFCFC

Query result

Key Value
FileName./usr/lib64/python3.4/site-packages/numpy/lib/tests/__pycache__/test_financial.cpython-34.pyo
FileSize6999
MD5FD7C4DF0572606BA13216229B8E8B674
SHA-1016B919007E0F32D3BEA7125FB4A0CBBD8DFFCFC
SHA-256EB5022558E35CCD637E0CEF41CC66A6D09D7B7CD2DC37E18DB653DAF9D6AB33F
SSDEEP96:O5NlmZ0fr9j2DVILyrrxPuIRr0qgt9CckA6Ngl1HY6L4W:JZ0fROVILyrrxGIREwglK6UW
TLSHT162E1DD5293C2CD6FF4E2E23EE2A00322EE75F81A7D1587904AB0E47DAFC53952CA5345
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
MD529450144DDDE9CE31CE57D3E0DCEED0E
PackageArchppc64le
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
PackageRelease3.el7
PackageVersion1.12.1
SHA-1CB656CFEBA1110492A1CB012337C9D8BDB24692B
SHA-25690AC75FEB4BAFBBAD2A462FC1F430E3644611355D8C9C08309D6E67BBDD215F4