Result for 036CE4394C60630F49410182A3207DCCD99C13AD

Query result

Key Value
FileNamesnap-hashlookup-import/lib/python3.6/site-packages/numpy/core/_add_newdocs.py
FileSize203038
MD50147A4B9CEFF0C015B25B2033B9B4533
RDS:package_id222721
SHA-1036CE4394C60630F49410182A3207DCCD99C13AD
SHA-25623F9DD68526123A883E7249E0B61C6A4645D3E0BF92483F6BDDEBF5A8DAD6E3A
SHA-512B9C2ECF26CE74F567E67567FD8DCBDE4868FEA44D3066C5FF381F86066B5DEF645D8399275B26DB35BE04FD3AFBE538D3B003689B6DA3ED4CA624E51E5A0164E
SSDEEP6144:EocIeXqxMX4DFMCaj/yrHfNlOPSNo/caI4k81R1r9lHW6VMWQzCF8Gn1jy8Mj1a8:3yhhU
TLSHT11514A40BFD840BB90747C5F699EF4486D320803B9F232899789E16782F5A93953BD79C
insert-timestamp1727099410.2070515
mimetypetext/plain
sourcesnap:31c2DdgA1CYseWIG4A36zXWhSpIS2jB0_1
hashlookup:parent-total71
hashlookup:trust100

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Parents (Total: 71)

The searched file hash is included in 71 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
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
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
Key Value
MD5CB61E23E7A59FF873FFF9B49A92D3E77
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>
PackageNamepython2-numpy
PackageRelease1.mga7
PackageVersion1.16.3
SHA-1182041E22B0D4CCFCA7242B27AE6632367F9B797
SHA-256CAEADB1B58704EA4497FB28DE671736B1423CCADD9C784B4E5A7682A3D7623F5
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