Result for 03AC8426D497215DBBB75305B39198A3B5A096EF

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/numpy/__pycache__/_distributor_init.cpython-36.pyc
FileSize483
MD5F6F920092B6A4AD9C77A65D6691AA59E
SHA-103AC8426D497215DBBB75305B39198A3B5A096EF
SHA-2566120CA06BD93F1656B08B5956B5DF82D1B08B03E30300CE82BE1CA4770F36202
SSDEEP12:z5eUfWXRA23XE44uCgDEWj+xqyZ/UqezlZ6BorvBbK0Tt:zob3XE4AgDENpZ/Uq7BorFvt
TLSHT1DFF05C5A1F442A73EDD417B9F7081837BBB680ACD3509B2554AC511C6F6D32787F5C11
hashlookup:parent-total3
hashlookup:trust65

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Parents (Total: 3)

The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD52BE9CA3D1F01BB7427702BB0E86396D7
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
PackageReleaselp150.2.15
PackageVersion1.14.0
SHA-1BBCD96931D09BDA3BD0D67ADECB38E1481702E99
SHA-25621902A891DAB605CF3A2BAEA9FC60D92582B7849465A3D276CD4E47AF74298E4
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
Key Value
MD58733789612E5801D49E02B65B1FDD4C7
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.
PackageNamepython3-numpy
PackageReleaselp150.1.49
PackageVersion1.14.0
SHA-10ADFBB676206CDA971C8897EB4222969B77E7515
SHA-256970E564BEF04C7D172092CCB3DAB55CF24EB9C8B13705EB36BDDBD55A51CD4CF