Result for 5CE110B7F0628405E21EDDAB32EA4982D95DA82A

Query result

Key Value
FileName./usr/lib/python3.8/site-packages/__pycache__/lazyarray.cpython-38.opt-1.pyc
FileSize19022
MD5470087BA0FB83D437E8B590D1065A045
SHA-15CE110B7F0628405E21EDDAB32EA4982D95DA82A
SHA-2565778BBF92D2514D7698357FCF6D468749574B923CB37BC323F79F5ECA432BF38
SSDEEP384:2rYbu15gtFAEP0Lj68NdkJzGX4Y1FT48zQGUtrn9JdlVSDfvr:2rYbu15QFAEP0LjPNdCzGX4YzT48z1Gq
TLSHT16282E7E592808EBEFD52F6F5C04E135C6A30A13613869252F41F88AF2F45BE81E359DD
hashlookup:parent-total5
hashlookup:trust75

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Parents (Total: 5)

The searched file hash is included in 5 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5B1793D4C5E2D3317C4526C9625AD20A3
PackageArchnoarch
PackageDescriptionlazyarray is a Python package that provides a lazily-evaluated numerical array class, larray, based on and compatible with NumPy arrays. Lazy evaluation means that any operations on the array (potentially including array construction) are not performed immediately, but are delayed until evaluation is specifically requested. Evaluation of only parts of the array is also possible. Use of an larray`can potentially save considerable computation time and memory in cases where: * arrays are used conditionally (i.e. there are cases in which the array is never used) * only parts of an array are used (for example in distributed computation, in which each MPI node operates on a subset of the elements of the array)
PackageNamepython38-lazyarray
PackageRelease8.2
PackageVersion0.5.0
SHA-1DC061A93CDC08996806EEE73994651F622E89E9B
SHA-256253D57006FE8DF8254CE437597477E482425F2EE5E0A173E764D026CFEB5E3D3
Key Value
MD553BDF110BED0C8DCAA956E877B64CF35
PackageArchnoarch
PackageDescriptionlazyarray is a Python package that provides a lazily-evaluated numerical array class, larray, based on and compatible with NumPy arrays. Lazy evaluation means that any operations on the array (potentially including array construction) are not performed immediately, but are delayed until evaluation is specifically requested. Evaluation of only parts of the array is also possible. Use of an larray`can potentially save considerable computation time and memory in cases where: * arrays are used conditionally (i.e. there are cases in which the array is never used) * only parts of an array are used (for example in distributed computation, in which each MPI node operates on a subset of the elements of the array)
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython38-lazyarray
PackageRelease1.1
PackageVersion0.5.0
SHA-18BBBB9D0A14A393EFAABEE7EE6DF86C51707FA46
SHA-256E0351D60122171CAAAEB979BBFADE7FF576BC7F5DEA24B0D78F77F7BAD027D1B
Key Value
MD59F76F5FF913A2B037F0292148A40F8E6
PackageArchnoarch
PackageDescriptionlazyarray is a Python package that provides a lazily-evaluated numerical array class, larray, based on and compatible with NumPy arrays. Lazy evaluation means that any operations on the array (potentially including array construction) are not performed immediately, but are delayed until evaluation is specifically requested. Evaluation of only parts of the array is also possible. Use of an larray`can potentially save considerable computation time and memory in cases where: * arrays are used conditionally (i.e. there are cases in which the array is never used) * only parts of an array are used (for example in distributed computation, in which each MPI node operates on a subset of the elements of the array)
PackageNamepython38-lazyarray
PackageRelease8.2
PackageVersion0.5.0
SHA-1ECA86AEEB9ADB0C2B3302AF7890AC5C34D56FF9C
SHA-256927D270647E37855F3818354FC2069313F3B2AE38AA5D9A85075D1B757817329
Key Value
MD55EEF65CFD3730965491B5A62F21B7A83
PackageArchnoarch
PackageDescriptionlazyarray is a Python package that provides a lazily-evaluated numerical array class, larray, based on and compatible with NumPy arrays. Lazy evaluation means that any operations on the array (potentially including array construction) are not performed immediately, but are delayed until evaluation is specifically requested. Evaluation of only parts of the array is also possible. Use of an larray`can potentially save considerable computation time and memory in cases where: * arrays are used conditionally (i.e. there are cases in which the array is never used) * only parts of an array are used (for example in distributed computation, in which each MPI node operates on a subset of the elements of the array)
PackageNamepython38-lazyarray
PackageRelease8.3
PackageVersion0.5.0
SHA-1F81C3CBB8C2E2BCD60EAA6A132A33CBC2114D5B3
SHA-256D0EE3401EA3EBE10903CB016D59B14C3F89F0B30BAF92B30D03672CA2E74F310
Key Value
MD51B8C5C225E534EED0E4EB778A97267FC
PackageArchnoarch
PackageDescriptionlazyarray is a Python package that provides a lazily-evaluated numerical array class, larray, based on and compatible with NumPy arrays. Lazy evaluation means that any operations on the array (potentially including array construction) are not performed immediately, but are delayed until evaluation is specifically requested. Evaluation of only parts of the array is also possible. Use of an larray`can potentially save considerable computation time and memory in cases where: * arrays are used conditionally (i.e. there are cases in which the array is never used) * only parts of an array are used (for example in distributed computation, in which each MPI node operates on a subset of the elements of the array)
PackageNamepython38-lazyarray
PackageRelease8.2
PackageVersion0.5.0
SHA-12779C4756845A33C1339DC1A9398772B73A664CF
SHA-25634E8E0018D21A6D0D613E66D458E9CE529D621736A54A606247E42A83F74EDEA