Result for 025375FF51DB0F98140DB7675602F3970FD52A55

Query result

Key Value
FileName./usr/lib/python3.7/site-packages/theano/tensor/tests/__pycache__/test_sort.cpython-37.opt-1.pyc
FileSize16679
MD534431038208F0E81A0C9AEE96FEAAAEB
SHA-1025375FF51DB0F98140DB7675602F3970FD52A55
SHA-2564145371F933E38E73DA8AD0AE4F2E8F07A042A7D91ABF4029D5112364FC119F5
SSDEEP192:Ut4Wi8efwNLT7/WVAxQxuqqGa7oq1TODiAqMLOQiCfG+aRB4sCQ8o97QZEonbhv1:Umd8FcltfbSm2rtKVa/5k0V1zD9M
TLSHT1BF7295FE798ADD09FCA0F0FB551A4B1D4B78C28A270F92B3940190DF3D593E80D68966
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
MD56F9BCB98BF69396002E5F5B5E702FFD7
PackageArchnoarch
PackageDescriptionTheano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Theano features: * tight integration with NumPy – Use numpy.ndarray in Theano-compiled functions. * transparent use of a GPU – Perform data-intensive computations much faster than on a CPU. * efficient symbolic differentiation – Theano does your derivatives for functions with one or many inputs. * speed and stability optimizations – Get the right answer for log(1+x) even when x is really tiny. * dynamic C code generation – Evaluate expressions faster. * extensive unit-testing and self-verification – Detect and diagnose many types of errors. Theano has been powering large-scale computationally intensive scientific investigations since 2007. But it is also approachable enough to be used in the classroom.
PackageMaintainereatdirt <eatdirt>
PackageNamepython3-theano
PackageRelease1.mga7
PackageVersion1.0.4
SHA-1EC2BD89B0E913429689491D6968C1B3059C6131C
SHA-25667642FD7DF3484A3BE0B0F1389DA5C756ADBDA489A398A824A59E32A9E00F00F