Result for 018488515F93C8E6D8B84F25FA86A9EF9D731040

Query result

Key Value
FileName./usr/lib/python3.7/site-packages/theano/tensor/__pycache__/extra_ops.cpython-37.pyc
FileSize41592
MD59CD086BA8FD42D699A431AF2E7224A42
SHA-1018488515F93C8E6D8B84F25FA86A9EF9D731040
SHA-256CDBCF12D03EEBE3DC286A636A31E6131EB0BA7992C6496794CB0D3E1842CE6A0
SSDEEP768:NuH/SCfy+c98oIwvIzGpCClRu/lpEynFY07XcnKFV4Fw5DmCC:NufSGyd8oIwwqFRu/lpZFY0JV4F9CC
TLSHT1E1132962AE805D2FFCE6F2F5558E0286D738C17BBB499182300D50A91F42BA45F7C79D
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