Result for 049E0045BE1D5C30848F25FA028CA680ED1E952B

Query result

Key Value
FileName./usr/lib64/python3.4/site-packages/numpy/testing/__pycache__/noseclasses.cpython-34.pyc
FileSize9832
MD5F381838C86164FF751FC32E638F0B770
SHA-1049E0045BE1D5C30848F25FA028CA680ED1E952B
SHA-256A8E647156AB6401EA2BF335B8C6B7CBB6EEAAE41222EB70D422910A7E3331159
SSDEEP192:HD05HRRQYWI2zyTG8rdPA1J2d3qJX5+TqW2uC/ZG:HD05HRRQYb2zmrdxk5yB
TLSHT1161295E0274389ABF852F3F990701101EBB6E6979B11AB1235EED1FE2FC47D55C26284
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
MD5C1C2437ADF3EC134CDFAED41D737288C
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
PackageRelease1.el7
PackageVersion1.12.1
SHA-1E1F4580424CC470D7533204E6E3E43A07B33EF88
SHA-256874DC7674E1A69FC63AA2AD4A4E13DCA4601AB5F974E8E4770FAD3DC5AE506AA