Result for 03D17750590DBBCF0BAE235D8398A2B7DC7F15FF

Query result

Key Value
FileName./usr/lib64/python3.4/site-packages/numpy/core/tests/__pycache__/test_longdouble.cpython-34.pyo
FileSize8157
MD505067776EFC1A93F56F9841E420508FC
SHA-103D17750590DBBCF0BAE235D8398A2B7DC7F15FF
SHA-2566516935967EFFC9FD5751633B159A6A6A7BFBA694CCB4876A7DFC5F25FD9361D
SSDEEP192:vgbNANPSAmxzN/DDNtQVL5H5ZsYua5NxNXNwNsRk10p:MNANPSAmxzN/DDNGnjsYua5NxNXNwNsj
TLSHT1F2F1859697C7CF5FF828F2B9E0242315AFB2E66A3B00636662B1907D7FC574C1C65182
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
MD5DA6F5C2043671AEB08592C3F69D496EE
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
PackageRelease3.el7
PackageVersion1.12.1
SHA-1F5617464497BB85F3F75430BAADDC6A3DDD824DF
SHA-256BB521F417262BEEA6394978A021D156B120F8C25F9FDCE8CA6E088E9F2CFDE75