Result for 026CD6EA517520A515E22B87F739FFE8E0433614

Query result

Key Value
FileName./usr/lib64/python3.7/site-packages/tables/tests/__pycache__/test_queries.cpython-37.pyc
FileSize36266
MD5236719DC924473B98C7B10EA9A90656D
SHA-1026CD6EA517520A515E22B87F739FFE8E0433614
SHA-256F017020CADD067BD90E3B8A2B0C79724530141B1E6272E854BA199AAD975257B
SSDEEP768:G9BHoC5C0QWLSeCuf3zUVxlRYBfVZeyW4pkfdu6wWOgCpl+kKPz5te4Qqw17/L95:GvIC5LQWeVuf2hYBfVZeyzpkfdu6wWOD
TLSHT14FF2E5D8B9737F0BF620F5F6888F031206DA61A95B8597E3B568D2DE3B005F41D9AC09
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
MD5786A3B4DAACF73D0F57F60257AE5261B
PackageArchaarch64
PackageDescriptionPyTables is a Python 3 package for managing hierarchical datasets designed to efficiently and easily cope with extremely large amounts of data. It is built on top of the HDF5 library and the NumPy package (numarray and Numeric are also supported). PyTables features an object-oriented interface and performance-critical extensions coded in C (generated using Pyrex) that make it a fast yet extremely easy-to-use tool for interactively processing and searching through very large amounts of data. PyTables also optimizes memory and disk resources so that data occupies much less space than with other solutions such as relational or object-oriented databases (especially when compression is used).
PackageMaintainerdaviddavid <daviddavid>
PackageNamepython3-tables
PackageRelease4.mga7
PackageVersion3.4.4
SHA-17C6ED5E3685AE063DE05F97DFA83763D7A943E1E
SHA-2563015665056494DD6D58B40CAAD5099FEFE1148C2E3C7CB65A9E44B830F2E659F
Key Value
MD57E3846ADBBEE3B9EE6AFD24E2E0C7AE4
PackageArchx86_64
PackageDescriptionPyTables is a Python 3 package for managing hierarchical datasets designed to efficiently and easily cope with extremely large amounts of data. It is built on top of the HDF5 library and the NumPy package (numarray and Numeric are also supported). PyTables features an object-oriented interface and performance-critical extensions coded in C (generated using Pyrex) that make it a fast yet extremely easy-to-use tool for interactively processing and searching through very large amounts of data. PyTables also optimizes memory and disk resources so that data occupies much less space than with other solutions such as relational or object-oriented databases (especially when compression is used).
PackageMaintainerdaviddavid <daviddavid>
PackageNamepython3-tables
PackageRelease4.mga7
PackageVersion3.4.4
SHA-1C8646779328B25E97480C78C4340732E4462F0B4
SHA-25638E19B8D23E30835BF491FEE7BC71DF60E0808C431595A8537AAA6E2793C6432