Result for 00CC1828A76303D27BD892C747446E23B280F15C

Query result

Key Value
FileName./usr/lib64/python3.10/site-packages/tables/tests/__pycache__/test_tablesMD.cpython-310.pyc
FileSize50075
MD519469B1A95438F3A236CA324BC7F3D1A
SHA-100CC1828A76303D27BD892C747446E23B280F15C
SHA-2564471C34A8498D4781E589583EE333637AE3D75CB9FE0F2506327CE49AAECFE27
SSDEEP1536:4iZjH4iFYTwL86EikOkSwQO5Bi+gQ1yr15wC27TwATLRUd/km1JDJmJS:4iBQ7SwQEBi+gQ1yr15wC2nwATLkkmv
TLSHT1D823D5CD3A362E4FFF64F9F504F90317EE12A29187868392541BD2863F14ED86DA649C
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