Result for 050A34C30C51D450F7B93C3E85E36C7205231127

Query result

Key Value
FileName./usr/lib64/python3.10/site-packages/tables/tableextension.cpython-310-aarch64-linux-gnu.so
FileSize251056
MD5A2D4B170BD2587B30F7D1BBB554B5D05
SHA-1050A34C30C51D450F7B93C3E85E36C7205231127
SHA-256AAD9D53E2305E2AD5ED5E77048188A3E4CE642513234A62B767F0DDF9EC0F4AE
SSDEEP3072:sZHqUeDVSsVPe9EVPl03cS4ior/Z9SkVExdaHgenW15yychDXaKYJJ9ICffoh:sjeDV/PeuVicShorqennl9aKIbHff
TLSHT12034193AF70E7A55C843A33D9E8A43B2BB3324989359C1E25510D28D7BC7FC99A79413
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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
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