Result for D955CE6363458811F2F700C5322347AF06E39EDC

Query result

Key Value
FileName./usr/lib64/python3.8/site-packages/fann2/__pycache__/libfann.cpython-38.opt-1.pyc
FileSize42339
MD509ED35DAA92B401C0969C68B6E7C9F3D
SHA-1D955CE6363458811F2F700C5322347AF06E39EDC
SHA-256CA36319A3876E15B15F67D0E56710D190E62527930505A1DB0B336A3E0F48283
SSDEEP192:sR0/dsWQ/p2FnNH1BkSWYOB2IJFs8d7debvcacvie4vZTN9nbWhNjir4IZ2tKtO2:N/eWnNH1A7Bv1gKU02hsv3i7MFs7jz
TLSHT1C51399C5B89BEE77F4B3FEF400A84D59B13553B34649C4C34A086EDE98A65C06922F9C
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
MD54A9104B740FFB30155B91965FC756359
PackageArchx86_64
PackageDescriptionPython bindings for Fast Artificial Neural Networks 2.2.0 (FANN >= 2.2.0) that implements multilayer artificial neural networks with support for both fully-connected and sparsely-connected networks. It includes a framework for easy handling of training data sets. These are the original python bindings included with FANN 2.1.0beta and updated to include support for python 2.x/3.x .
PackageNamepython3-fann2
PackageRelease2.17
PackageVersion1.1.2
SHA-1801624D2FB448810CFBB4F89759B118D8C923BDB
SHA-25677F78B8A4C9D791BC1AF550482FBAC08B63B16EB81765031B82A8C7F685CD0F9