Result for 00BE278EACB44C64FB47C109D1238B54E418B3B6

Query result

Key Value
FileName./usr/lib/python3.7/site-packages/scipy/optimize/_trustregion_constr/tests/__pycache__/test_qp_subproblem.cpython-37.pyc
FileSize16102
MD541C06E9DDEAA443291401E2AD86F6425
SHA-100BE278EACB44C64FB47C109D1238B54E418B3B6
SHA-256EA37B2E1CDDBA96B36206A80A6E636AE361270DDBB4DB224B2B9750DECAD7775
SSDEEP384:sXsr0d9jLsrw6Asd6/GBksi7ydpqpLE3WwhClFTx8W8k7cJ9i:s8r0d9jLsrw6Asd6/GBksi4pqpLEmwhi
TLSHT13D72226914935EC9F56BF1B9803D23240A32F34E3716D6327620C15DCF8769B2D3726A
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 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
MD5D4E5F4DF17437CECFE109804BAE7A71C
PackageArcharmv7hl
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-12006027142F170B9E56AA31CD68093862A513827
SHA-2566F67EFDE5AD7B22B7CE071EF7260804CB5E72E89C9DBB4CDF6B475A3582BABF5