Result for 02295D7499CE4B941AE34280D793B77AAA7AA683

Query result

Key Value
FileName./usr/lib64/python3.8/site-packages/iminuit/tests/__pycache__/test_plot.cpython-38.pyc
FileSize1984
MD5C3ED989BD614338EC74C479BDC7B1CF0
SHA-102295D7499CE4B941AE34280D793B77AAA7AA683
SHA-256CD045E22C75785BD596ABC4A326E4C954EA5826AF72E151F55B286C2C3E2C453
SSDEEP48:Inl2aublGqCpAaO25sVskJj0f2jQBG4RdBSRpjlFWy:clH81V7fJjnjmR6RR1
TLSHT18341F0D24A069F9DFAE9F3F491DD1330ABA0DA77B30D612B8C05608E3F882C41C61A53
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
MD598497DE3BF1B836963A14EB7B27D91F8
PackageArchx86_64
PackageDescriptioniminuit is a Python interface to the MINUIT2 C++ package. It can be used as a general function minimization method, but is most commonly used for likelihood fits of models to data, and to get model parameter error estimates from likelihood profile analysis.
PackageNamepython3-iminuit
PackageRelease2.75
PackageVersion1.3.8
SHA-1C7753BA1E84077133638178669E6428E70ACCD59
SHA-25657528DD669155562F0320407529EF05A4C7C54B9F1463B8AAEB922EC7C9FE073