Result for 010911FB0D58C938BA64099E0F400E06239BDFBD

Query result

Key Value
FileNamesnap-hashlookup-import/lib/python3.5/site-packages/scipy/spatial/__init__.py
FileSize3364
MD54BD38E0A98A806679295FA4A782C4120
SHA-1010911FB0D58C938BA64099E0F400E06239BDFBD
SHA-256366A34D856B763F4A3E0196246778DC5244A41A950A33B93CABE8190066518CA
SHA-5120E4FAC499924E834264A550D6974FA079EC3A33D5D6A739E45444CBA228C8F164382822433288EDA2F08045BF1EE1BAA59F0734318C5644D0963B393FE677B05
SSDEEP96:2J4V6CI5OM3SIrHHtfrDI6jcZvms85XwJG8l:0TCENbtfhjcJl
TLSHT1F06176719A313BB1A36F509225C924E7D37696A33B21327E31FC81952B02F1C47FBA58
insert-timestamp1728975582.1775327
mimetypetext/plain
sourcesnap:EE5GWu02z0YpTc00nobuYaTnsYOWA7ZQ_4
tar:gnamebin
tar:unameroot
hashlookup:parent-total68
hashlookup:trust100

Network graph view

Parents (Total: 68)

The searched file hash is included in 68 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
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
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
MD52CFA906118282CF4ED2A0CF750ECF1AA
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.
PackageMaintainershlomif <shlomif>
PackageNamepython2-scipy
PackageRelease1.mga7
PackageVersion1.2.0
SHA-1131AFCEB592F2406F862FB782D53C3B501337EF4
SHA-25672D20E5086B36ED62C1FBEF666F69601E26C3F5822E014B1F37223171EA4711A
Key Value
FileNamehttps://ftp.lysator.liu.se/pub/OpenBSD/6.8/packages//mips64el//py3-scipy-1.2.3p2.tgz
MD500717F05FCF4DBB7C215468BE6CA4785
SHA-116FFAD460B24CA9D3F2D7B47A4223505C7ACFD80
SHA-256DA2E9D046E83A0B99799EC2D0C5FB4DE1A12105164477FED2B9B9D43FA6714DF
SSDEEP393216:f3acZJj95A5J4dQUr2fzWe08MQ43FJjFekjfdlR5Y0p0KcDa:ScnHAU6shL1JjDP5Ldea
TLSHT18E17335E48D8E874FE4652B16E3EB40069DEBD28E4BAA7FCC01F70FF6266461591C063
Key Value
MD5897D315713ED2EBF6FA4EC5E7A8E4C71
PackageArchaarch64
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.
PackageMaintainershlomif <shlomif>
PackageNamepython2-scipy
PackageRelease1.mga7
PackageVersion1.2.0
SHA-11A41A8BCC4C0C69CC01F41B553D1D1C36AA28942
SHA-25670A6051E307308D17D7FA6D909249D59E3AA14CD1DCEDCC6E1EA60DD10FBF973