Result for 07BA05C8CB0E8BF7DB92AFFEE51F80D40852EC1E

Query result

Key Value
FileName./usr/lib/python3.10/site-packages/tables/__pycache__/file.cpython-310.opt-1.pyc
FileSize83078
MD5DC7A1584F8BA4089C28C542F02BF3F4D
SHA-107BA05C8CB0E8BF7DB92AFFEE51F80D40852EC1E
SHA-256E9C47A1CD8A2C04E2F8D9D4D2402F497275910FEF74A74E7572DA81F46816C7A
SSDEEP1536:QkvKOjqmWbbZRGv41b7xhWQNEr5TlgLRMQrrG01TzQBcOPwnXKCgAH:QkvNj8bbZRGv41/er5TyLRMQHGBPwnX7
TLSHT1978329067B501B76FDD2F9B1295D9291D328C26FA3655112348CC06C3F229B4ABFFAD8
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