Result for 0BABD9004C7FB3AC3D60F179004BE03F3917D4CE

Query result

Key Value
FileName./usr/lib/python3.9/site-packages/seaborn/tests/__pycache__/test_miscplot.cpython-39.pyc
FileSize1504
MD5E4A9950C37CB2491E8C988E551C3C14E
SHA-10BABD9004C7FB3AC3D60F179004BE03F3917D4CE
SHA-256AA5FA867106B6BCB9BA2109721F1B0EC85D62EC579751BED8F4A0696A623C8C9
SSDEEP24:QwXVtj1quG9pkCUZVMKMEgpM7NKJMVCp2pEmmRIrd5+KqBMjboKyHuSGav33rja:QwXVyuGTnk5pBJKJMVCp2p/oZuZavy
TLSHT12E316689DA415777FDDAF2F7914E041192B6637567150D4E330C59C7EC4D0CD0862B5E
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5E86E675CF88C7551239C6B07E3FE4F43
PackageArchnoarch
PackageDescriptionSeaborn is a library for making attractive and informative statistical graphics in Python. It is built on top of matplotlib and tightly integrated with the PyData stack, including support for numpy and pandas data structures and statistical routines from scipy and statsmodels.
PackageMaintainerFedora Project
PackageNamepython3-seaborn
PackageRelease2.fc34
PackageVersion0.11.0
SHA-1D06A0DFC5D640C3BAD8507A89F7C8B6DAB48573E
SHA-256122D3439E2C70DD08BC05E3044A4295FD8F02E2EDEDE864DA377786729FB5F1E