Result for 079E31ECBA10814D8F9AE16DA02935BC16AB022C

Query result

Key Value
FileNamesnap-hashlookup-import/lib/python3.6/site-packages/numpy/core/tests/test_function_base.py
FileSize12977
MD50A9540F4B1EE7F636DADE40C567DE4CC
RDS:package_id293677
SHA-1079E31ECBA10814D8F9AE16DA02935BC16AB022C
SHA-2562FB7C162B4848DC65D54317523CD752D6C174401B17DC3AFF1BEBC543C59190A
SHA-512874A654AAEC5833943DB57FEC6066741B6529D8AE596CA226CC791F51C87B55D2387AF13048CE0D125747B323452D56AE03553C6E3F6087FFF23113DC8B3BD65
SSDEEP384:kYwIWmXn/LD8+8WbX0//pvDRW/hnkWzXW/4X/gZg0SR1TvM02JUNr:kgWmXn//8+8WbX0//pvDRW/hnkWzXW/m
TLSHT1DE42140523860D38A367E23A84AE7E4943179B6F158CA594B47E3350BF156B0A7B36FC
insert-timestamp1727099411.0990963
mimetypetext/x-python
sourcesnap:31c2DdgA1CYseWIG4A36zXWhSpIS2jB0_1
hashlookup:parent-total46
hashlookup:trust100

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Parents (Total: 46)

The searched file hash is included in 46 parent files which include package known and seen by metalookup. A sample is included below:

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
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
FileSize2119064
MD507F25C5FF253F0E0240465EBD23B18F5
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.
PackageMaintainerSandro Tosi <morph@debian.org>
PackageNamepython3-numpy
PackageSectionpython
PackageVersion1:1.16.2-1
SHA-11A5198BC401B23664CE27F01D29FB32FA6DE6D56
SHA-256D5C458459022C3755718ACC11E1DDFAF0590DAD1C87E4FBB984705F402DB2C22
Key Value
FileSize2115096
MD527BFC989027E5C662898186EC01D2DAF
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.
PackageMaintainerSandro Tosi <morph@debian.org>
PackageNamepython3-numpy
PackageSectionpython
PackageVersion1:1.16.2-1
SHA-11F3C04CA7099EDEB7576751EA9BCF3002A846856
SHA-2567E028325193CE4FA3880A401E23636DEAF9D273B5EBAFE287CA545CAA46FA695
Key Value
MD5473A4B96880CDB01A2B58283A15A8D4E
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
PackageVersion1.16.2
SHA-1205C4DE7ADBA610CFE4B2A4960A70979DA8BF8EF
SHA-25641D6BAE5BC74565B2B356CA4BC3EF293B71EF3EAE45DF5C1926891B89A6FF1DC
Key Value
MD5CB00EDE017D35BFF982EC6A91C2D6226
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
PackageReleaselp151.1.65
PackageVersion1.16.2
SHA-1223DA0208C9AE808247EB77D6AE255691E5AA3BF
SHA-25649F0AA42EDA2010E5B5797FD18C04A083E7F48DAA0B4AFCC3571D508911CE0C7
Key Value
MD5A6E372A9A4FF5CC52BB28A623B8EE6CA
PackageArchaarch64
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
PackageVersion1.16.2
SHA-12395E62BCD469A5C9983C5F8863C29742F6677B3
SHA-256B1746B42C4FDB9BB1D1F3DECB2EEDC9174884C9DAF3B4AB4C86D6CD61F7BE56C
Key Value
MD588AF768D5705305E6476AD7EE8B4CAA3
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.
PackageNamepython2-numpy
PackageRelease1.55
PackageVersion1.16.2
SHA-1273C181BA96D150A6340A93EFD99916EBAD5627E
SHA-256DA85851C2582FCB8F4EC831E073F3021A59C59CF38CAEFC10003FF82FA309ABD
Key Value
FileSize1878988
MD52AB5A4B782FBD9B2D45BFC44374A046D
PackageDescriptionNumerical Python adds a fast array facility to the Python 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.
PackageMaintainerSandro Tosi <morph@debian.org>
PackageNamepython-numpy
PackageSectionpython
PackageVersion1:1.16.2-1
SHA-1279240177EF534935CB9AF73FBA3966B1C4B31F9
SHA-256780CB9B71CF8FF5E5087BBC862EDD61515246659BABF377D1F5B4345037AEE45
Key Value
MD50CB17FCF5C8364A1C2640133460DDC67
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
PackageReleaselp150.1.22
PackageVersion1.16.2
SHA-12BF4363AF67817449452F0DEEFF21CEAC7B1C984
SHA-256FC174FB9DAD57C525C9793FD2AF68B5AB0BF31B3E371D4F3634035DBA4F79492