Result for 022EA7F942E537CE0048CFBF32F27E5EE59C271C

Query result

Key Value
FileName./usr/lib/python3.7/site-packages/theano/compile/__pycache__/__init__.cpython-37.pyc
FileSize1339
MD53C5E3F3C18CA480E4B97FDAB60C6638A
SHA-1022EA7F942E537CE0048CFBF32F27E5EE59C271C
SHA-256D519ACAB0AFF70095E3D5C4AF6572E56259ABAF268593FE074AF3B4B6CDBF7F5
SSDEEP24:aKpy4jV/l6rQvdRlvzb4/5mIG2e32qhKEw5XHpqS89KovgkDkVv4Xrrl:hpy4jirQzl/4/5mIo3eEaI59dNklil
TLSHT1F8210E2A500FAC3FF9C0F2F85A2751BB51718381DAD68B9B6B00E1D00FA399D6989935
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