Result for 618DC17F2693E1CD83E4CE8A90DCCA57F3901333

Query result

Key Value
FileName./usr/lib/python3.9/site-packages/__pycache__/lazyarray.cpython-39.pyc
FileSize18972
MD5A07498C58EEC0734ECF7C758FA25E3E3
SHA-1618DC17F2693E1CD83E4CE8A90DCCA57F3901333
SHA-256F30A288AD25BAEFD43804C42CDA4974EEF0B046E10BD511F6EA06D1C706E4BCF
SSDEEP384:I7E1DOF1PG9CF8YKbsKz9fFl48zkUYiPqp9Nb6Ll:gE1CFZG9CyYoz99l48zrKpDWp
TLSHT12282E8F5D2800EBEFD42F6FA804E17516A209136135F9253F00F89AA2F497D91E39A9D
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
MD5D590E541A19C97D70F8BDE1B9C753824
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
PackageNamepython39-lazyarray
PackageRelease1.1
PackageVersion0.5.0
SHA-16F216D5F2D2E1625142D5289A2E1A5148CB143AA
SHA-2561420AD9ECB4F19F9A9B92994A81DE16B8B0133F99FE7CEE40FB84BAA3A4F8B2F
Key Value
MD59D6CE7882EA512BF69AABF4EFB125501
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)
PackageNamepython39-lazyarray
PackageRelease8.2
PackageVersion0.5.0
SHA-16627D2759AD2ECEB3A471C2897DE28FF8365CBD1
SHA-256CF0AF8582F4E96E97E8D8E5C6D2B82D47A9C68847C4189F853710BEE9B0B5365
Key Value
MD57AC517613FA694880DD21CCF2CF368B0
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)
PackageNamepython39-lazyarray
PackageRelease8.2
PackageVersion0.5.0
SHA-115A09599AD7471BF88E8E1E8F6060638311F1B63
SHA-256E17B00E756B5DEBA8D878A9BBDB5573B2529C8758FBC8E40285F0E57357DE835
Key Value
MD5AB0124CE04EF795A174AEDA9B0A271B4
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)
PackageNamepython39-lazyarray
PackageRelease8.2
PackageVersion0.5.0
SHA-111EDFEB2A4BD4439CC9B1A9954BFBC7B3876B0CF
SHA-256279B57D3E07C08A2705D6D5EB3BB43CDE5038C6C9D41A57BE9D73E81464C36E0
Key Value
MD5831B42B1EF2EEAD3EB7C3915F649C8A9
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)
PackageNamepython39-lazyarray
PackageRelease8.3
PackageVersion0.5.0
SHA-1ADCB7CFA8BEEB0C36443BCACD0ECC8D1982CA159
SHA-2569479CCA5CEAE56794340808001A3BF7F79BB5980175943B04FD11635DF0AB1B6