Result for 0353383F67B766609CF707C06C5B9F661FD9E810

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/numpy/ma/__pycache__/extras.cpython-36.pyc
FileSize49617
MD55BA7204FE4A282DA6157B47FC7985746
SHA-10353383F67B766609CF707C06C5B9F661FD9E810
SHA-256DE1C5E294973F337AA2CB6921E96735D187BBAE56B141B99076DF46DC47AFEFE
SSDEEP1536:+EI6sEZsYMmN2OWg0uaS64NqGupPlJGUdAindFP/we6fsY6byRUiETq3Za:YYZ2OWLuaN4NqblY0/we/XWRq
TLSHT15923E7097D800AB9F593FAFF64FF0282E730923BA3841449348F96691F365255B7D6AC
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