Result for 028CFD6937A47D8FE607961988343FB6C67620B4

Query result

Key Value
FileNamesnap-hashlookup-import/lib/python3.5/site-packages/scipy/sparse/csgraph/tests/test_shortest_path.py
FileSize6718
MD54400018D110D9878EF200184C9092E53
SHA-1028CFD6937A47D8FE607961988343FB6C67620B4
SHA-2562B037796FE4FEACBE021B18C185F279347024915704B39BE128D134BB3754BF7
SHA-512AEC98597F0717AACCCFA9D344E854683E78EA5B8A9F44102103ABC40C285A80793EB89A7651D9FE123BA2839A46895C89217D674C27A7C1233735F93E2943E4E
SSDEEP96:NFhaIcDFlnlgzDBiCSNLTet/Etr4SDusp9Z0Ls6coCEFYU7h1U6crr4:BBwh8tilLa1h496nCKJhE4
TLSHT190D1B962FA9B26195647C3EF0482CD09C296CDAB450D34BFB5BC4B5C6F0D01DE2B296E
insert-timestamp1728975585.5669715
mimetypetext/x-python
sourcesnap:EE5GWu02z0YpTc00nobuYaTnsYOWA7ZQ_4
tar:gnamebin
tar:unameroot
hashlookup:parent-total153
hashlookup:trust100

Network graph view

Parents (Total: 153)

The searched file hash is included in 153 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD508EBAB55DF0B9B5E2684131E24C472F7
PackageArchi586
PackageDescriptionScipy is open-source software for mathematics, science, and engineering. The core library is NumPy which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world's leading scientists and engineers.
PackageMaintainerphilippem <philippem>
PackageNamepython3-scipy
PackageRelease1.mga7
PackageVersion1.2.2
SHA-100A914488DF2D4C74F8E31502AE6F6C838ADA1CA
SHA-2564C7B0116A1B8162501645CF1609DF05C99E65B9DD69F97AE053FAF417767CCFC
Key Value
MD5602C9B2CC8F88D08198506714BE71030
PackageArchppc64le
PackageDescriptionScipy is open-source software for mathematics, science, and engineering. The core library is NumPy which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world's leading scientists and engineers.
PackageMaintainerCentOS Buildsys <bugs@centos.org>
PackageNamepython2-scipy
PackageRelease21.module_el8.5.0+772+8dae0bfd
PackageVersion1.0.0
SHA-100FDC7C4AED0A70502A7427F5D29752F01911090
SHA-256DD83E0FA243856607D6103E09EC0F7586EF46F53D9DE13F1F75CB919FDA39072
Key Value
MD5534EE3476789900D719C9F3BFD8A512F
PackageArchx86_64
PackageDescriptionScipy is open-source software for mathematics, science, and engineering. The core library is NumPy which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many numerical routines such as for numerical integration and optimization.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython2-scipy
PackageReleasebp153.1.19
PackageVersion1.2.1
SHA-1021F510CB18DDFCB749AA87D2B1E2DC8C6C4CA3B
SHA-256FC143ED989404EC5F354D3AE863513B6F2DDD3B58DEEBA7B821A8B6C104B3444
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
MD5133D594B6A4CF285F2A151DBCB4DEE1D
PackageArchppc64le
PackageDescriptionScipy is open-source software for mathematics, science, and engineering. The core library is NumPy which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world's leading scientists and engineers.
PackageMaintainerCentOS Buildsys <bugs@centos.org>
PackageNamepython3-scipy
PackageRelease20.module_el8.4.0+790+083e3d81
PackageVersion1.0.0
SHA-1090DE2636FD72222C998610CABCC2FD1F6D42522
SHA-2568B565A2AD91FFB34DD0CA51BAF0AD27130015BAFFDFF50EB4C22CFCD70B0F8A8
Key Value
MD52D3EA0D76955F4838F6F152369E95D1F
PackageArchx86_64
PackageDescriptionScipy is open-source software for mathematics, science, and engineering. The core library is NumPy which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world\'s leading scientists and engineers.
PackageMaintainerhttps://www.suse.com/
PackageNamepython2-scipy_1_2_0-gnu-hpc
PackageRelease4.3.1
PackageVersion1.2.0
SHA-10A810E69B5E0141F6304407831A46B710D26C8EE
SHA-256D78EEFE8637B8D91015B5DC9BCDF1FE2D17FFE393358CAB7391F0E8B49185EEF
Key Value
MD546C4A03D507A5287BEE5793214B9FAC6
PackageArchx86_64
PackageDescriptionScipy is open-source software for mathematics, science, and engineering. The core library is NumPy which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world\'s leading scientists and engineers.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython2-scipy
PackageReleaselp151.2.6
PackageVersion1.2.0
SHA-10E060CD4FDD62940EC1CB052BD58830128D2ACDC
SHA-256D4198AFF7FB6F6FA4AFA9B26106B0D4EFD7D1FC95315D4AE726A528128F1234B
Key Value
FileNamehttps://ftp.lysator.liu.se/pub/OpenBSD/6.7/packages//powerpc//py-scipy-1.2.3p1.tgz
MD5C09E34A2DB2E6D7D52E0B695330EA875
SHA-10ECBD5716F82989A49D8C7644B5E398F0F4197C1
SHA-256D1B2A5CB940D5670C18DB17704F5687319881D01998174D2C574B2032CBD826E
SSDEEP393216:sWinVgntF5s/8pdQUr5jWz3qFOZEdI9ju/oBJs//lSgpS79gCTlntxgqZr:HGVY7rp6sBeiy1u/oBJm/5pShTltxgGr
TLSHT1AB2733D68F8C915FF3F81C478B1ABC43120553EAB62DB5CB0A43690EA95A0D851FDDB2
Key Value
MD53BB76D2D32B99E74613BB4C1FF0179AC
PackageArchx86_64
PackageDescriptionScipy is open-source software for mathematics, science, and engineering. The core library is NumPy which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world\'s leading scientists and engineers.
PackageMaintainerhttps://www.suse.com/
PackageNamepython3-scipy_1_2_0-gnu-hpc
PackageRelease4.3.1
PackageVersion1.2.0
SHA-11185F30F9CBE4416A8DD1DC2C9641E0E6A07286F
SHA-2560BA79FCDE63F18A5AA28333F79C083C531B505CA065CB2D1FE1B33350B0F3C27
Key Value
MD53EFF09EE4D3C564290CB847D3AC6DFB3
PackageArchx86_64
PackageDescriptionScipy is open-source software for mathematics, science, and engineering. The core library is NumPy which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world's leading scientists and engineers.
PackageNamepython2-scipy
PackageReleaselp150.1.97
PackageVersion1.0.0
SHA-1118D4CF42EDD83B34A8AED140A694651AF5935E2
SHA-256BA92DB1A38EAC51AF70C2B19A2ECC89A6B13B967C3CC9F3C261A4D1FBE7ECC8F