Result for 006705A95DEE7CFF9FA8CB81911DE74E3081AF48

Query result

Key Value
FileName./usr/lib64/python2.7/site-packages/scipy/sparse/tests/__pycache__/test_matrix_io.cpython-27-PYTEST.pyc
FileSize4965
MD5AE6CE9EC75800A2E8903426A787FBB45
SHA-1006705A95DEE7CFF9FA8CB81911DE74E3081AF48
SHA-2561AE571245071023EC9941BAC6B218EBC70606F7163F7A450E32695A15BC6D13E
SSDEEP96:0RN9RsE5Qq7mzNO5AOi5IgoY5BU95vF0565dX5Jg5nJ/daS5h:hEhiNOrixjQ970IbX8jsSD
TLSHT19DA1CC6093EA56C3D8B94175E4F0431FEE78F1F3A201A766016C947D2BEE24E857BB90
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5DB764938642DA5F609FF06C9D754EBA6
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.
PackageMaintainerCentOS Buildsys <bugs@centos.org>
PackageNamepython2-scipy
PackageRelease20.module_el8.5.0+743+cd2f5d28
PackageVersion1.0.0
SHA-124FD4F61A56FECC94A607B4F93EEF45466D56876
SHA-256932829F41B86DF9BDD506E3855CE7A538164504676FDAE9DD2FA86D562EC222F