Result for 0866CE4C10A247073D981AFD6475D61199814E9F

Query result

Key Value
FileName./usr/lib64/python3.10/site-packages/tables/__pycache__/conditions.cpython-310.pyc
FileSize11528
MD59D4BF132B404301C0879EF7438156BD6
SHA-10866CE4C10A247073D981AFD6475D61199814E9F
SHA-256686BDC443E27F26958D8E5867DE9D0876083E56261B2FF85D1477DAF8BEEDDB6
SSDEEP192:TvCSoQWUTtXgmwlf9JPnzLJDvcG7utYEIzEd3nLWrFWOe5RjE:TvCSoFUTZWzLJ3utpIzEd3nLWhWOe5Ro
TLSHT10B320929624C2ABDFC55F0B601DE02405B60927B3B086052794EC1BA2F43564EDFFDFA
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
MD588BA903D237A0A6D4A470054F2D4CB96
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).
PackageMaintainerumeabot <umeabot>
PackageNamepython3-tables
PackageRelease4.mga9
PackageVersion3.6.1
SHA-16E701724A844AEF8A80D93654170AC231BE253AC
SHA-2566D7899904829BB31ED9D25B3F4F1F1684DB10EAB5963F43CC9722C9E33FB7C18
Key Value
MD54BE71675913ADABB2FF9070381528FDD
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).
PackageMaintainerumeabot <umeabot>
PackageNamepython3-tables
PackageRelease4.mga9
PackageVersion3.6.1
SHA-1ACB50FEE5D29A7425D538A19B63EFDAB992B8433
SHA-256AA90587DBC1E1636BBB4F39190A916D992AAA4FF88F4D04E6E34A5AF22ECE3F3