Result for 085D7CD504938E04296684DEE2F1819C63F8157E

Query result

Key Value
FileName./usr/lib/python3.10/site-packages/tables/__pycache__/filters.cpython-310.pyc
FileSize12127
MD58ACA188EA3873AAC170E3441C9B35225
SHA-1085D7CD504938E04296684DEE2F1819C63F8157E
SHA-25643EC745A31FFC1FAAAD4EB09D06169AE1A6699687753DB2226AE30F9AF4988F1
SSDEEP192:ZEcum1cFz+hgznf2Y4X0cfj2fdDF2hgslcZVpH7Z6QrcGh0qY5xCFdP:Z71mSknf1sfj2BoKslKpHTnh0qqxM
TLSHT14042F7222A806733FD65F1B0FF7E8695533081BB63551222304D861A3F4353CCAE6ADD
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
MD59E65A7E425EA5B2EA644CC941589B36E
PackageArchi586
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-1A9358EA92C760EFD97F289CD9C539BD43105EF94
SHA-256AE978244F890C930897BBEA6503860B91BFB74859910BEAD3EAE9CBBEF4870B4