Result for 4430CE2BBC4F9F5020507542372902293B5CC9BD

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/fann2/_libfann.cpython-36m-x86_64-linux-gnu.so
FileSize231040
MD565F02678D83E57BF94455AD40D5ADCDC
SHA-14430CE2BBC4F9F5020507542372902293B5CC9BD
SHA-2565C8C98783F211AA5F9D19E8140D3D36194691C4945C265458F123C7684E85FA2
SSDEEP3072:cyKJm56zbSjaMosWHUPnu3FKok7rvp+b5ebEv0tSnNmFxfeasXHVd:1KPzbJVv0t/HWX1
TLSHT12A34EB42785761FDC0FFFA3C40BA5E66F2B1B59203A28DEB068454B50A22ED5171EBDC
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
MD5CC80A9C02211DB6B903829D8540A0625
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
PackageReleaselp153.6.15
PackageVersion1.1.2
SHA-1554868B6CAFF5FA0D79651FC75A115B5E5B7B07D
SHA-25664650C4F8912ACC22A3E5241449E3356C090FAEB41086E3C27EBA8FF93659631