Result for 09710238B0FC4D19A7817F99D88C86A186E2A767

Query result

Key Value
FileName./usr/lib/python3.10/site-packages/tables/tests/__pycache__/test_tables.cpython-310.pyc
FileSize158822
MD5FC6013D5941F57A8C8696489F543EEDF
SHA-109710238B0FC4D19A7817F99D88C86A186E2A767
SHA-256FEF68AAFC2AE57E70E80CE022E529EF110C8C5FEE31E00C8FB07595201C0B42D
SSDEEP3072:H3w81x7SSOSEMqApoUNcls9eMx2FM+c+T5f/sri5VtdRztIEw84qI:Hg8bSSOSEMqApoUNcls9eMx2FM+c+T5Y
TLSHT160F3D69E6A372E23FF64FAFD48640710EB24F2694784DA535407D28E7E10DDE2CB6849
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
MD5A0DBF63D32C9D033CEB0726A4CCA2D19
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).
PackageMaintainerumeabot <umeabot>
PackageNamepython3-tables
PackageRelease4.mga9
PackageVersion3.6.1
SHA-18CDF8AED4224E5E4120C6984F76CCE9AD7AF328E
SHA-256AC735D50EDD77E30EAC94184726D9D95B4C75C118BD3EAC4A4FFFDE3817E9DD8
Key Value
MD5151FF3A1C51A2A8B6A0227B3DFC74FA7
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).
PackageMaintainerumeabot <umeabot>
PackageNamepython3-tables
PackageRelease4.mga9
PackageVersion3.6.1
SHA-1105B39AC32E6FFA617693034F3874940EC0995B3
SHA-2569614726E99FF1946623377A8F087117D590807CDF24B0AF14BC77AD70A87C243