Result for 061829C959F460F7D45FC3A9BC0E9B8D2FA74439

Query result

Key Value
FileNamesnap-hashlookup-import/lib/python3.6/site-packages/numpy/fft/helper.py
FileSize9710
MD5264FAA131BB3C9EBA96D695DD0B001B2
RDS:package_id222721
SHA-1061829C959F460F7D45FC3A9BC0E9B8D2FA74439
SHA-256E90FD21913F686E93059126388BE4E89D49F749224BD9A3B01E3D2A9830B8092
SHA-51208AF7D015AF63FCA958A958CBC2DD1A9D619D401ABA93AB03C57AC06CDBCE43FFD3D34A41D42C2E4350E07C82C761EE7A0DA171C25E8B00FD11F8399DE4130A1
SSDEEP192:O8DjGjd3dLfcvQmjRCFFOoR/qXx9ixqh9hwR6RBq9B5Hl+qhL4CjyN/DbCx+Y7R2:OpLfRCPfuhNRm/qgkfk
TLSHT1BD12B45B6D411ABB52B7C6B82ACF6003E732E11B169A3485B0ED50781FA783D83FD58D
insert-timestamp1727099413.3807847
mimetypetext/plain
sourcesnap:31c2DdgA1CYseWIG4A36zXWhSpIS2jB0_1
tar:gnameroot
tar:unameroot
hashlookup:parent-total123
hashlookup:trust100

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Parents (Total: 123)

The searched file hash is included in 123 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD58B15592E9839B14AF4FF54D70C17D0C2
PackageArchs390x
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://www.suse.com/
PackageNamepython2-numpy_1_16_1-gnu-hpc
PackageRelease4.8.1
PackageVersion1.16.1
SHA-10047CF327913B1D3DE0597808CEFAA3917690BAA
SHA-256637DC1CA383B2DD3249DBC432470E71BD6DD807E762344F5297511EA2B7C527C
Key Value
SHA-10265167C71D611D4025F842F2EDE7CBAA0AA8A89
snap-authoritycanonical
snap-filenameEE5GWu02z0YpTc00nobuYaTnsYOWA7ZQ_4.snap
snap-idEE5GWu02z0YpTc00nobuYaTnsYOWA7ZQ_4
snap-nameepitopepredict
snap-publisher-idwKNkmne29sQR93F3D0N6GFAFqfyv9hpz
snap-signkeyBWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp2017-09-18T21:52:25.816561Z
source-urlhttps://api.snapcraft.io/api/v1/snaps/download/EE5GWu02z0YpTc00nobuYaTnsYOWA7ZQ_4.snap
Key Value
MD5AF6CF464FA118A1E20364B91C9D9F3E1
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. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainerFedora Project
PackageNamepython2-numpy
PackageRelease7.fc32
PackageVersion1.16.4
SHA-1072BD176FCE1B618A7C74A9EDAB56A60090137DE
SHA-25631E572C31D0491B89A4EFC4C0ED19B0C2ECF158A901D2F0505FB02E539F2EBFB
Key Value
MD5983939BA81F95271DE0224A94FB97711
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. Numpy also provides facilities for basic linear algebra routines, basic Fourier transforms, and random number generation.
PackageMaintainerdaviddavid <daviddavid>
PackageNamepython3-numpy
PackageRelease1.mga7
PackageVersion1.16.3
SHA-108E0BEBDCEB16EF180ADEA977AD603002024E818
SHA-2562DFF7D90F3A8B44A0FF42B410CFAA36A066A01D045B17AC7812CEEE2363B9660
Key Value
FileNamehttps://ftp.lysator.liu.se/pub/OpenBSD/6.8/packages//amd64//py-numpy-1.16.5p0.tgz
MD551CC63C126DF7D6E5EF35DE4136F6A30
SHA-10971E9FF009DE209873F6B8F8409753951419072
SHA-25602158E4318E7D9E3D100BF3EA738A4172B04555F7E31DFFBA332B9F6BA91827D
SSDEEP196608:BZ8p1TT8CRo3apbQAo/7YKMHSoO7dhI+BkFtVVII96pV3I5wboIjBskmXtz:383u/7YTyoO7dUvVYlkIFM9z
TLSHT13396336BA04B82EFED4EAA57C8C477A4B6309BD5DA65329CC8DB740C135BF046D0931B
Key Value
MD5BE1D447C7D3A14153A429E4D41F80A2E
PackageArchs390x
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://www.suse.com/
PackageNamepython2-numpy
PackageRelease1.40
PackageVersion1.16.5
SHA-10A857FE666AF8CA675CC51B5612A8F049F9F8F28
SHA-25680B48A683264327E9D5CD5E9DA071E554292E828802482ED5961BFDD7462EF06
Key Value
FileNamehttps://ftp.lysator.liu.se/pub/OpenBSD/6.9/packages//i386//py3-numpy-1.16.5p1.tgz
MD504C0CE981B73AA9BAD7C6F53E4697979
SHA-10B2B38D338FEBDCE87D6DD0DB21ACF2D0B87E016
SHA-256712131A57200B9EA7EEA203B3A99D6CF9011A7A71C2F9C3474DD3B5ACE769A87
SSDEEP98304:VeU8KiGz1sJCrjdcPT79wctgJBZnmptwWf8ss7F5ZtU4KTM1Aa3daGCKvZGB:Vrlix8rhkwctgJ/4xf8PF5Zt3AadEB
TLSHT1C116336BD5390E213912F4437BA06882304C51B4BEE6DCFB796D6D85F6FD0601A1AA3F
Key Value
FileSize1977056
MD53C9362E57DEA240A07F095B93927A2ED
PackageDescriptionFast array facility to the Python 3 language Numpy contains a powerful N-dimensional array object, sophisticated (broadcasting) functions, tools for integrating C/C++ and Fortran code, and useful linear algebra, Fourier transform, and random number capabilities. . Numpy replaces the python-numeric and python-numarray modules which are now deprecated and shouldn't be used except to support older software. . This package contains Numpy for Python 3.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-numpy
PackageSectionpython
PackageVersion1:1.16.2-1ubuntu1
SHA-10B4291954DEE0C1783145B7F655024F865E8F4AA
SHA-256C885E1914C1B96901E302A619A7409764D954CBB21F5E48147A8002562F01A9D
Key Value
FileNamehttps://ftp.lysator.liu.se/pub/OpenBSD/6.9/packages//powerpc//py-numpy-1.16.5p1.tgz
MD5FF177F7208BE8078683A814A60A898EB
SHA-10CBD3584D07E51483BD018C7B89B4DC9CA217448
SHA-256B399FC221EC493B4577D19C37D731254FE80FE0AA8CABF61A40E9982800CFBFE
SSDEEP98304:Dl5a2PWlb/+mqM7oV9hszKF30c1av0EVweP1XtLaSDYc2tceQqxBO5+g:DlMbrT7o9szm0rcyT10+2zQyO5+g
TLSHT12526335DC51E5A4AF513B112D747FF7A322328427957C04668ED283AB8C31BDAB2293F
Key Value
MD597A4B9D836309D5FF7BB15018893ABBA
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://www.suse.com/
PackageNamepython3-numpy_1_16_1-gnu-hpc
PackageRelease4.8.1
PackageVersion1.16.1
SHA-1123D4D5645C08D1EB2024C35E98DC441C60CE9D1
SHA-25689D28B0911384CE7D852BE8B469C3A6ED2D012BC8851A2ED70947721F5E75B35