Result for 00EAF5CB55C00D3AF5962E02CBF6631AF767FD3B

Query result

Key Value
FileName./usr/lib64/python3.4/site-packages/numpy/lib/tests/__pycache__/test_index_tricks.cpython-34.pyo
FileSize13532
MD53515BC8F9EFDAB349604D4638631B3AE
SHA-100EAF5CB55C00D3AF5962E02CBF6631AF767FD3B
SHA-25659C56ECB2B5F2FC539C3FF6C40FAA555B32E119D98C668AF4D2A72972DB4D4E7
SSDEEP384:4cuKZA6wCYHMf3jV6wjLSqZHd5A0zoETX2VhPYsg:4c/ZA6wCYHk3jV6wj9d5AAoEqVhPYsg
TLSHT13A52ED51A3C69D8FF428F2B9F178D714EEBAF1553F22A7124562E07D3EC43801C1A29A
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
MD50267040506935B71B39F889A79C4F73A
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. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation.
PackageMaintainerFedora Project
PackageNamepython34-numpy
PackageRelease6.el6
PackageVersion1.10.4
SHA-135C364D01C21E3C3136991BDE99C1966ABB19353
SHA-256559EE4FD1BADFBC54A48E429A18F220829DEA69858436CF695BBCBE6BA65C007