Result for 1A9ADBEA56F02B14009F71D0E0AECDE0337C4559

Query result

Key Value
FileNamesnap-hashlookup-import/lib/python3.5/site-packages/numpy/f2py/tests/test_block_docstring.py
FileSize568
MD51D6D8ED6CEC497D9D36A84BA45C0B08F
RDS:package_id222721
SHA-11A9ADBEA56F02B14009F71D0E0AECDE0337C4559
SHA-25695B46714419EB1E43E58FF60AC2F18E09EB12AEF8DC20A74FDF495B989F5F47C
SHA-512804F9E367C4612D39606188E3B930151222B3BB9B9350CF499757DDAC1EF5C7055B43D8FA7FAD5E01E62DD2448A141795EA83EE723D347F701E8523F1FC6CA9B
SSDEEP12:1RjK45AkRo3OAbBuVLWTjrNMz64xJhcmXPlhfGtMNcmVY6n:1RH+YgsVLWTjrcsKhudmVXn
TLSHT1CBF0C02680370E10976FA0E494CE903243365B179B26049DB8BF42759F4902D9AC187C
insert-timestamp1728975561.462013
mimetypetext/x-python
sourcesnap:EE5GWu02z0YpTc00nobuYaTnsYOWA7ZQ_4
hashlookup:parent-total35
hashlookup:trust100

Network graph view

Parents (Total: 35)

The searched file hash is included in 35 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
MD59DCBC811353AEEE41701E84EBE94EC8D
PackageArchi586
PackageDescriptionThis package includes a version of f2py that works properly with NumPy.
PackageMaintainerdaviddavid <daviddavid>
PackageNamepython2-numpy-f2py
PackageRelease1.mga7
PackageVersion1.16.2
SHA-105E6B7C351E5C2E42F296BD2721368BED3BEE689
SHA-25654746074243523EF3B375325F9733F9D4D9F511AD0F2A585B1FE85B8FF7FAF51
Key Value
MD5641F4FF8CB65C0D865FD3B5BEFB3B67A
PackageArcharmv7hl
PackageDescriptionThis package includes a version of f2py that works properly with NumPy.
PackageMaintainerdaviddavid <daviddavid>
PackageNamepython2-numpy-f2py
PackageRelease1.mga7
PackageVersion1.16.3
SHA-10ED90985A0F158C1007051F66113D90EE7F96F7A
SHA-2568244A68788DD3D9B2985609D341F8630D1C2784AD6A0A793DA014C0EE30C9B0E
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
MD55D4FBB8EBE0CA9E30C7B16D62E796014
PackageArchi586
PackageDescriptionThis package includes a version of f2py that works properly with NumPy.
PackageMaintainerdaviddavid <daviddavid>
PackageNamepython3-numpy-f2py
PackageRelease1.mga7
PackageVersion1.16.2
SHA-125DA12ABA0AC71088A55E181802B18DBD07D07CD
SHA-256089F21722B490BB11993353D8674FD33472A64A13793DA3B9B7A54431E234C38
Key Value
MD5B08BD4C77D96A24FB679144E9209C25C
PackageArchaarch64
PackageDescriptionThis package includes a version of f2py that works properly with NumPy.
PackageMaintainerdaviddavid <daviddavid>
PackageNamepython2-numpy-f2py
PackageRelease1.mga7
PackageVersion1.16.2
SHA-12699D251F9C43B9177931349B67CEA4783AD4A6E
SHA-256D3F4CFE9C1342FC09E291912AFD19A8EEF22FE444DD645DB289269FD9871D8AD
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
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
Key Value
MD5A734CB28C873B9CFB0676A383D3BA410
PackageArchaarch64
PackageDescriptionThis package includes a version of f2py that works properly with NumPy.
PackageMaintainerdaviddavid <daviddavid>
PackageNamepython3-numpy-f2py
PackageRelease1.mga7
PackageVersion1.16.2
SHA-12FB096DB7BDC4ACD1E73704E8EDAA1908AB438D9
SHA-256DB71CD74D812B93B7E736FB7F6A6F1A4B8F9475E1121B8F3169D78ECD518EE9F
Key Value
MD5924818C4EE7A876DBAB6024380EBAF86
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
PackageRelease1.55
PackageVersion1.16.2
SHA-136316D9EFCA1F4A7ED98C102FFC205B632B9EB2E
SHA-2561E390CBBDCD182688DC27D1B8D8DF5764E3BE721AD48F4136BB0C73DF3AC2F92