Result for 00571712C0A93B625BBE808FADDBDCED08D7F507

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/numpy/distutils/__pycache__/__config__.cpython-36.pyc
FileSize1240
MD504B9BC84CC6EFFE26A998D72C4EE0452
SHA-100571712C0A93B625BBE808FADDBDCED08D7F507
SHA-2568C2DB9024838A7490671F20231511FEF6DA098F0AAEE4162CECA2054E4743531
SSDEEP24:PKLhsrIzyLfNW6/gX8CgYwd+92bZGRrtLHsG7MVtCIWp45+vID3:lIzyr4MCw+ggrtA4ENWp4AIj
TLSHT12E214496EE40E6EBFCACEC3E5002612417653AFD490DF9C2A508F19DC00524E2E60F61
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
MD5DA9D4777E71678357B25733010AD3225
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 which also makes NumPy suitable for interfacing with general-purpose data-base applications. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython3-numpy
PackageReleaselp151.4.14
PackageVersion1.14.0
SHA-19F3454F77FA8EBD648D15BC4721A2619ACA6DB36
SHA-256778E0A0422DB328744C9DF6CB51FE5E9D1869268DF31BB71EBDA3FE0A5755EA3