Result for 0A87B0ABE6709DD8B0C3D86DDE1E7788116B5223

Query result

Key Value
FileName./usr/lib64/python3.7/site-packages/tables/_comp_lzo.cpython-37m-x86_64-linux-gnu.so
FileSize24776
MD59046B0E89BC5DC6843E09547E06602F0
SHA-10A87B0ABE6709DD8B0C3D86DDE1E7788116B5223
SHA-256A28A0F60EB0CF110F68504102C3A9DE00EC0D49B9556696EFF819E9AE38939CF
SSDEEP384:MMFlfZ3xtrrSEJWslwOWkBFo6cqkNsjr:MMF3xZSEJjldWkB+6XkGjr
TLSHT1BEB20A2BBBB58D7AC0A0CA3498934A311A71F554E730B3BB618469771FC2F964F0F994
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
MD57E3846ADBBEE3B9EE6AFD24E2E0C7AE4
PackageArchx86_64
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).
PackageMaintainerdaviddavid <daviddavid>
PackageNamepython3-tables
PackageRelease4.mga7
PackageVersion3.4.4
SHA-1C8646779328B25E97480C78C4340732E4462F0B4
SHA-25638E19B8D23E30835BF491FEE7BC71DF60E0808C431595A8537AAA6E2793C6432