Result for 04D8EEC15F4238BCEFE6110C757BCDE92AD11D91

Query result

Key Value
FileName./usr/lib64/python3.7/site-packages/tables/__pycache__/description.cpython-37.opt-1.pyc
FileSize25810
MD511E86629912B212CCE860099CE3C7223
SHA-104D8EEC15F4238BCEFE6110C757BCDE92AD11D91
SHA-256710CFD94650A56AF2A7CBE986DA9E8463484F2E154A336678562F3E98D954CB4
SSDEEP768:7hzssL/l8+M3crhsNV229I6y70dF3oyGLVGzS/De:GNs8V229IcYLLG
TLSHT173C2C4039E0167A6FC4BF2F20DDF41629A71835F6265A1D17D9CC1290F04BA29EB35DE
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
MD5786A3B4DAACF73D0F57F60257AE5261B
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).
PackageMaintainerdaviddavid <daviddavid>
PackageNamepython3-tables
PackageRelease4.mga7
PackageVersion3.4.4
SHA-17C6ED5E3685AE063DE05F97DFA83763D7A943E1E
SHA-2563015665056494DD6D58B40CAAD5099FEFE1148C2E3C7CB65A9E44B830F2E659F
Key Value
MD57E3846ADBBEE3B9EE6AFD24E2E0C7AE4
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).
PackageMaintainerdaviddavid <daviddavid>
PackageNamepython3-tables
PackageRelease4.mga7
PackageVersion3.4.4
SHA-1C8646779328B25E97480C78C4340732E4462F0B4
SHA-25638E19B8D23E30835BF491FEE7BC71DF60E0808C431595A8537AAA6E2793C6432