Result for 0303A22A082A3F31B78FD9F36ED0D477C2E3CFFD

Query result

Key Value
FileName./usr/lib/python3.10/site-packages/tables/__pycache__/utils.cpython-310.pyc
FileSize11018
MD59CE250269A92093814A28F2F5FDCFBAC
SHA-10303A22A082A3F31B78FD9F36ED0D477C2E3CFFD
SHA-2560FCE9BA272650A9848433DD6FEDDB2E949366123F253FD6A0052953E17918B65
SSDEEP192:RI6h2fF/ia9rNl01zS4LU6lRXibuX75XkaHQ2b5l+:H2bDlcf3vXibmRl+
TLSHT1F132D6C367C11E1AFE96F2B0810D13A16628D27B874E5257305DD12E1F4F7A81DF26AD
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
MD594271992B0A49546B72F07AD0741194D
PackageArcharmv7hl
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).
PackageMaintainerneoclust <neoclust>
PackageNamepython3-tables
PackageRelease1.mga9
PackageVersion3.7.0
SHA-1FC8B064172799D28DD12EF3C1BFE8EF0F35919F5
SHA-2563CBADBA3E551754A9F106E1F2E77F609CE4F42835E3D9D677CA6CC18027C49CB