Parents (Total: 10)

The searched file hash is included in 10 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	8869F844CE7FBA03963C9DD164B3EC83
PackageArch	noarch
PackageDescription	lazyarray 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)
PackageName	python3-lazyarray
PackageRelease	lp153.8.1
PackageVersion	0.3.3
SHA-1	A5A530A4B04C104323175C379B307C80924F3C31
SHA-256	342BFC124524FCA80FD5271B68B4A5BF1088D2DA529290E254101D50A4A1DAA3

Key	Value
MD5	5B154726555411D54C97055185FC5A73
PackageArch	noarch
PackageDescription	lazyarray 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)
PackageMaintainer	https://bugs.opensuse.org
PackageName	python3-lazyarray
PackageRelease	bp153.1.17
PackageVersion	0.3.3
SHA-1	4D8EC606596E2E4E326AE2DC31D209C0FD5BA683
SHA-256	4F92C646B4E49A89578574C5116102886E326935C0F77B82021C5B8636230B1C

Key	Value
MD5	0554DFF3BBEF85403C67417FC5702098
PackageArch	noarch
PackageDescription	lazyarray 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)
PackageName	python3-lazyarray
PackageRelease	lp151.3.1
PackageVersion	0.3.3
SHA-1	68F2FF9015B99B708302B65F98A4ADBCBEF63BDA
SHA-256	CA2A4085366F3B55A1194B459D516FD6E3A4ED559171DC9D58B1A0A8814CF730

Key	Value
MD5	D1670E5FFFF70E28254A75F4B13D6D76
PackageArch	noarch
PackageDescription	lazyarray 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)
PackageMaintainer	https://bugs.opensuse.org
PackageName	python3-lazyarray
PackageRelease	lp152.1.1
PackageVersion	0.3.3
SHA-1	B8F1145FF422A01553B276211D9A48CF0A00C3BA
SHA-256	ADF6D932A15FB5878C013F36BE162A6ECC698D3152A27D60EC0D2CD5C55585D5

Key	Value
MD5	0AF267F2D533C7C3113BA78C6C4285E6
PackageArch	noarch
PackageDescription	lazyarray 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)
PackageMaintainer	https://bugs.opensuse.org
PackageName	python3-lazyarray
PackageRelease	bp156.3.1
PackageVersion	0.3.3
SHA-1	8A8B6DB09945D8725CF24C08879D61706A13F6E3
SHA-256	E20AF4DDE754BA4462598329F6DFEBCACFDBB1F1D481CB1F4077F149AC8014AE

Key	Value
MD5	29FEEF4C77DC76DB2CF3EC71F37842F6
PackageArch	noarch
PackageDescription	lazyarray 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)
PackageMaintainer	https://bugs.opensuse.org
PackageName	python3-lazyarray
PackageRelease	bp155.2.12
PackageVersion	0.3.3
SHA-1	61ADD56DA45C800A0C91712F5A9D5CE9B2726AF7
SHA-256	DA7B0B6F1DF5657B084292643603D7232C27968CC6148AF7B90CAF5DC7BF53AB

Key	Value
MD5	3E5626CDE58425ECE452450E169D0C9C
PackageArch	noarch
PackageDescription	lazyarray 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)
PackageName	python3-lazyarray
PackageRelease	8.1
PackageVersion	0.3.3
SHA-1	6C4367EAB9120BABF16944B3EC839E1171B5E621
SHA-256	77C11767B8A5F0F81C87B6BA2D1C7F209819E2FFDAFA6904B5FA90ED70191419

Key	Value
MD5	3FA651A609013CC9FD7CC16F8BF2A42B
PackageArch	noarch
PackageDescription	lazyarray 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)
PackageName	python3-lazyarray
PackageRelease	lp150.2.1
PackageVersion	0.3.3
SHA-1	CEC509200776C674C01ABAB6131AC485CCF52A7F
SHA-256	8289E8EFD65BBA9C9822C4561AA82C2B575C5650A9322D5B98E00C67CA3123EB

Key	Value
MD5	8ADA102EDFC63DB423B5ABA191E3B5E8
PackageArch	noarch
PackageDescription	lazyarray 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)
PackageMaintainer	https://bugs.opensuse.org
PackageName	python3-lazyarray
PackageRelease	bp154.1.30
PackageVersion	0.3.3
SHA-1	AF351112C09587B44AFAF3583CEB0AEE660FD483
SHA-256	28E8B99061E2CCCECEAEE54975ED75551BF03B6CC9C6FE47385EAF7B79AB542F

Key	Value
MD5	2A002DA4004EB18257072226158D906F
PackageArch	noarch
PackageDescription	lazyarray 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)
PackageName	python3-lazyarray
PackageRelease	8.1
PackageVersion	0.3.3
SHA-1	3F4274574CF283A5FD534F39452A35988D09E652
SHA-256	77249536363A750AF4FEC2DE3436F5985594A3E254CB3A6D11D4AD7FBABA44FD