Result for 0A8A1D9BC776537649869DA96BF03F53129C0741

Query result

Key Value
FileName./usr/lib64/python3.9/site-packages/tables/tests/__pycache__/test_types.cpython-39.pyc
FileSize11465
MD52481B29972EFEED9066991655C7E2DE5
SHA-10A8A1D9BC776537649869DA96BF03F53129C0741
SHA-256583CE04A36FA5432B271391711522AFD702EE1DF9DBC259EF5D897446A03B103
SSDEEP192:sc4vx7mtz1CO5nnqk/ucFSXan+cJpVY/Rexkro7PVXfe5AeFzepWe21tAbtzwtbi:mvsz1CO5nqk/uDs80VG5JFKpLie
TLSHT19B32B6AF81832D5EFF26F5FC8D1C0351CB15E3AA125862234514A2EF1EA81CD0CE2DAC
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
MD573206ECFEAE06A7D46E7FAAB26C6DF49
PackageArchx86_64
PackageDescriptionPyTables is a package for managing hierarchical datasets and designed to efficently cope with extremely large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package and features an object-oriented interface that, combined with C-code generated from Pyrex sources, makes of it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data.
PackageNamepython39-tables
PackageRelease19.1
PackageVersion3.7.0
SHA-15DFC91EA440C1018B6396BC3FE96170E2299B81B
SHA-256A50D5E176F0E203147DF9073A17035CB75FAB88E58647934D75AACC4202D28F3