Result for 312AB0E84818C9D22F8B0F4895819901D00686D4

Query result

Key Value
FileName./usr/lib/python3.9/site-packages/sklearn_nature_inspired_algorithms/model_selection/__pycache__/_stagnation_stopping_task.cpython-39.pyc
FileSize1987
MD55C275B9E6988C9F4E9516F56F8BD2E40
SHA-1312AB0E84818C9D22F8B0F4895819901D00686D4
SHA-25610FD7A8F607C51A732A6F0D84E1E6B4070C20BF7EB6D19587DF9061699A16E0E
SSDEEP24:QwRzhKucctT/3r4NtRfX9RRyckt1PwR+LTZT3IkRhJEEhfskNsYYnedlDqoEVYa8:Q7ct/UtVAt1ojShJfhfs14hqoRahuMo7
TLSHT115414296D2D25F3FFD96F1F2E00812585165BA6EBA4800035C54D04BBE4B5AD06B3839
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
MD57D583D64E16FFB7EEECA2B6103DDBB85
PackageArchnoarch
PackageDescriptionNature inspired algorithms for hyper-parameter tuning of scikit-learn models. This package uses algorithms implementation from NiaPy. Documentation is available at: https://sklearn-nature-inspired-algorithms.readthedocs.io/en/stable/
PackageMaintainerFedora Project
PackageNamepython3-sklearn-nature-inspired-algorithms
PackageRelease4.fc34
PackageVersion0.4.6
SHA-1135D3A3375089ED9D7AD8D68D1E9F6C8DEBFE15C
SHA-256B73C6BFB2162F561F48ACA44B407B1F59CC1FDDE4ABB2F1AD17A3D4E95313E88