Result for 015867C7B1D20AB3A4E28970DE81A07BE50BAB5D

Query result

Key Value
FileName./usr/lib/python3.7/site-packages/theano/tensor/tests/__pycache__/test_raw_random.cpython-37.opt-1.pyc
FileSize26226
MD510DA71C3B5CBEB8C50C7F1FCA05A948F
SHA-1015867C7B1D20AB3A4E28970DE81A07BE50BAB5D
SHA-25661F475CFCB8EAFADBC8503CF0E844E1D1F05495ADD64E06BCF8DA633FDCCC349
SSDEEP768:wHPoory4ZANBflHIKv9EmbGWvegZmbJyDEe:ww3NvmmiWveZSt
TLSHT1DFC2D8D5B8437B0BFD8AFAF7810F02449724E28953CB96A7501173CE4D940ED1DE6A6B
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