Result for 02ED2FBF37FAD5485BED3B0B1E760003354AF741

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/numpy/__pycache__/setup.cpython-36.pyc
FileSize866
MD59E2CCF21FAABCFE9B4FB0014C4FBEC03
SHA-102ED2FBF37FAD5485BED3B0B1E760003354AF741
SHA-256E4F17B2B02A1BA4FFC948B8CD06CD203EFF514FB118CFC6A37AEEBCD8A196CA7
SSDEEP24:ETC0i3ZE0ATAdn/bMGiMzOp36iKvBtIIt+1kT:EW3ZE0AMdYGBzOpqiKci+1w
TLSHT1FE1189435AC90B48EEE8BAB581D915A8397072B6EF346DF69D0B11EF2CF73E12521904
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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