Result for 01339E6B8E092ECE1C85D5F11BA50B0F1FCB7948

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/scipy/special/basic.py
FileSize62914
MD55AEF85A08E2A5C0F6F533ADDFBA5C03D
SHA-101339E6B8E092ECE1C85D5F11BA50B0F1FCB7948
SHA-256C695AA0104D36116D301AE3E11AB990935EC1400E464CBCECBB4BC9EDD9B92ED
SSDEEP1536:LIRyGb2x3R3O3uB+NnwaR7QGTPzVbtdXJvRuvRs8a:/ZQUaR7QGTPzVnNx
TLSHT14E53960FBE452A668283CAB65DEF9146E334963F26845D05B48DD0B42FB0D34A3BDD8D
hashlookup:parent-total4
hashlookup:trust70

Network graph view

Parents (Total: 4)

The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD53167B126D4BD078D11FEBB58AF979455
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.
PackageNamepython3-scipy
PackageReleaselp150.1.97
PackageVersion1.0.0
SHA-1857CF2F79A5B62174CED0BB9B2F19C065522A3B1
SHA-256BFA40E0A4F45783DB50ADD3B075E9EAA0EF4FDBBF8FCA272F5C193A228B625F1
Key Value
MD52312ECBCB41BCA421D725005286D23E5
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
PackageNamepython3-scipy
PackageReleaselp150.1.38
PackageVersion1.0.0
SHA-1A5C9D216EEC41CC3D784F674CD5A1F91D796CC13
SHA-256D3DF338F8EA72836CE6705B138D630A704972280A4606CC72FED979C4931D27E
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
Key Value
MD5F5977D48F64A970055F4ECFCB289A915
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
PackageReleaselp150.1.38
PackageVersion1.0.0
SHA-11F510B56A65205870DA311AE70F5481A08722290
SHA-256A846701875378E4F7458C64D0EAE1A30FB1A13D921D4B41B749FD1F2C27315FD