Result for 020DCC73EBBCBD73A46F5F8D6311FBE05E5FD518

Query result

Key Value
FileName./usr/lib/python3.10/site-packages/tables/tests/__pycache__/test_garbage.cpython-310.pyc
FileSize1775
MD5F048ED0A357401C3CD9D8B40B4631C1C
SHA-1020DCC73EBBCBD73A46F5F8D6311FBE05E5FD518
SHA-2569EB16696E35B6EE0886BCAF61316951FB1F542B5132A54CECD7DC571FE18E9C2
SSDEEP48:IW6SSzTV/THom1nBtMV+D2tYy0ykThCbnnUP:IPT9JVDdbzFiUP
TLSHT11631528089AABAA5F92FF7F8A42A0375AFB5D0FF573C6112109C808E7D8944134F15F4
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