Result for 0946D9EF7DE6386E55C3E1CE57851D89C493FBB3

Query result

Key Value
FileName./usr/lib64/python3.10/site-packages/tables/tests/__pycache__/test_suite.cpython-310.pyc
FileSize2339
MD5274D6CFD494A9E5408269BF18D73A89E
SHA-10946D9EF7DE6386E55C3E1CE57851D89C493FBB3
SHA-25607E3BE27AA8601A8A7EFC063B1ED9C85AEC7E454BAFA5113E64B6DA3BCC15AF7
SSDEEP48:EyFA3mYJfKeKhfWWtWJjpwQHU0OY2uHcL2j71uZHsBW9UpdEP0rOH/xe:G3mJszpd4H/8
TLSHT1A041B8CC8B7F3628FA01F1BAD349112BAEB5C1FB5911B13665DD54293B0807C44E9DAD
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
MD588BA903D237A0A6D4A470054F2D4CB96
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).
PackageMaintainerumeabot <umeabot>
PackageNamepython3-tables
PackageRelease4.mga9
PackageVersion3.6.1
SHA-16E701724A844AEF8A80D93654170AC231BE253AC
SHA-2566D7899904829BB31ED9D25B3F4F1F1684DB10EAB5963F43CC9722C9E33FB7C18
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