Parents (Total: 13)

The searched file hash is included in 13 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	DC0EC6947F48E2CFC75DEEF286A6387A
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	2.1
PackageVersion	0.5.0
SHA-1	14D68072D37BF162018ED7153063A1F5CFFCAD0A
SHA-256	795FB0C8CB963A897070CEC97ED2CA816DCFFE602DC1C16390C2442C807A2150

Key	Value
MD5	B8126DFD1CBE2D803991BDEE0EC09F66
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	2.1
PackageVersion	0.5.0
SHA-1	C208F2794AA26E291C74C497F2CF2D9CE6975C0D
SHA-256	68315A86E582FF1546B2EDD3BD538B1276088D7427C4D02FAAB8CF9446CF7E6C

Key	Value
MD5	D0574BDC7E8B4D6B55219B155C0692F3
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	lp154.2.1
PackageVersion	0.5.0
SHA-1	7E87D2D14CCDC849CD541DDE4D666D6A89C74A74
SHA-256	3FFB0C0B3375B04DC44525569D653EB758936ED6323C125D7B28B8BA674569A9

Key	Value
MD5	051ADC5638A588B0D7A0C929424F85C4
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	lp152.2.1
PackageVersion	0.5.0
SHA-1	486FB9517D3DF2152AB84DA6837B53DF8A6E6637
SHA-256	F157EEE3337748F5ECD7A379307117E0150740E6D7D2493F3148F561D08F8F13

Key	Value
MD5	EDEDFE8F4502127C6DD59BD0B90385D4
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://www.suse.com/
PackageName	python3-lazyarray
PackageRelease	lp154.8.1
PackageVersion	0.5.0
SHA-1	BD1EBB33766B9D21F517C86040F3C50B142407CB
SHA-256	C545D0FDAF8AFB6F070ADB92BC5532536F16E7AA64F7346CEE4F1F8A6767E0C1

Key	Value
MD5	E5FF6149D5BCE4C13FF0D7CC4FB68555
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	2.1
PackageVersion	0.5.0
SHA-1	CCB12B8E38E1C0EF440543B87A4A9040292AA5A4
SHA-256	C4E1AFA51A9764D9E296B0C1D610E6E0E4C857022499A03CC052DB766FB498F9

Key	Value
MD5	44D61A38869144E63427EE76531A70D3
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	2.1
PackageVersion	0.5.0
SHA-1	EB52E5CE763B4537F5E367C88455FE9EE499A606
SHA-256	5D99C60EF80F11E113DFDB4E0B341EB8BB7C8F7F0E1BBBA32BC9E6E4A586A0F0

Key	Value
MD5	BD0C72EF37D25576317F01E588514005
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	lp152.8.1
PackageVersion	0.5.0
SHA-1	29080EC257EC2D0336245A09E025EC4715FEE5E9
SHA-256	4B4396B880D87D1DBE67EA178D09C434328BB58F07F7659131B2DE96D1C2A0C7

Key	Value
MD5	8D2AAFBB2C3911A660CC55FFE9B5F9D0
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	2.1
PackageVersion	0.5.0
SHA-1	DED76AD2DD7A015A60A53B190D575B9339E32F3D
SHA-256	53A8F0532DB3BBE8D51C7C51E8E8DAA9DF6CAC5A3D3EA068445B44E02B0348B4

Key	Value
MD5	FCA36346952A85BA87F8A46A70CEE7CD
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	lp152.2.1
PackageVersion	0.5.0
SHA-1	4766353FE023E95A261E734E244DC47CA7DEB6EB
SHA-256	CE6803F2CABE348FAD875EDDCFB3ECF0ACEA3C6F78A0E8495D2E49C347A9991A

Key	Value
MD5	6BC24F4B3ECF4C53D62FBACE7F67AB92
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	lp153.2.1
PackageVersion	0.5.0
SHA-1	9273C98333E486413823D7DC41E9D427AA5333F8
SHA-256	B9C94AB520C07FDEF0D87FFB35292E3BA7E9A3A7DE9775C8DB22BB40E3D646E1

Key	Value
MD5	5E4C25B0279D0E9C4441BA9A16F89AE9
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	lp153.2.1
PackageVersion	0.5.0
SHA-1	13B336987D06CC8E89326AD8592451CFCF2A661B
SHA-256	8CA7FF9A6BE1E286EB42E185716E26035FBAC2BBEE09CB0CD106CCDFB0560EEC

Key	Value
MD5	4AA524EC4D4840C0107059E7607AB62D
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	lp153.8.2
PackageVersion	0.5.0
SHA-1	7EEDFCFCD7C1BE657714C77B927E43FDC847A8F6
SHA-256	7F04D93EE46C555F8E9DD56C1BD2CA855E23633DF8649490B6215EC9E85E1D25