Result for 084737F728AC9908121E3BF79C57B31A66074B09

Query result

Key Value
FileName./usr/lib64/python3.10/site-packages/tables/__pycache__/file.cpython-310.opt-1.pyc
FileSize83080
MD51DC1FE07CD5DBAB919E623C775DB82CF
SHA-1084737F728AC9908121E3BF79C57B31A66074B09
SHA-256CFC480E111D7DD21D96DD8B304CBBC5E01241E7B604B20646DDD344F0D9A6D74
SSDEEP1536:okvKOjqmWbbZRGv41b7xhWQNEr5TlgLRMQrrG01TzQBcOPwnXKCgAH:okvNj8bbZRGv41/er5TyLRMQHGBPwnX7
TLSHT1FD8329067B501B76FDD2F9B1295D9291D328C26FA3655112348CC06C3F229B4ABFFAD8
hashlookup:parent-total2
hashlookup:trust60

Network graph view

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