Result for 074139331503DF8596D545BA782B653CD2EE7A7B

Query result

Key Value
FileName./usr/lib/python3.10/site-packages/tables/tests/__pycache__/test_timestamps.cpython-310.pyc
FileSize5114
MD5DE1256043FF4C8EAD781F05A869C8055
SHA-1074139331503DF8596D545BA782B653CD2EE7A7B
SHA-256CDD7DBCC95EC07C938208BE8AF2AF8FF937DE002980C756F000837D109BA0AD5
SSDEEP96:s613tIoogQDNm8bXoBtOCwX40JwuAMQHdXXLqe0cYCmaBS4edMlapnaDN8HgrcpL:n1dIoJQxKvwI0JfAMUqe03hP/88HKcpL
TLSHT1C3B1C7C562C3AD19FEB0F6FA94293218E76CF33757C8A12B4A0D722E1D841957D7292C
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
MD5A0DBF63D32C9D033CEB0726A4CCA2D19
PackageArchi586
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-18CDF8AED4224E5E4120C6984F76CCE9AD7AF328E
SHA-256AC735D50EDD77E30EAC94184726D9D95B4C75C118BD3EAC4A4FFFDE3817E9DD8
Key Value
MD5151FF3A1C51A2A8B6A0227B3DFC74FA7
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).
PackageMaintainerumeabot <umeabot>
PackageNamepython3-tables
PackageRelease4.mga9
PackageVersion3.6.1
SHA-1105B39AC32E6FFA617693034F3874940EC0995B3
SHA-2569614726E99FF1946623377A8F087117D590807CDF24B0AF14BC77AD70A87C243