Parents (Total: 6)

The searched file hash is included in 6 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	5AAC512A3DA10262CB61D994C7F80FC0
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	python2-lazyarray
PackageRelease	lp152.1.1
PackageVersion	0.3.3
SHA-1	D23906A7B23A1730FD8925D5D5C374FF2EF6CADE
SHA-256	4689B49A05C923781C25B3B5D0461470C7E6F2BB16A4F77C487C0701830B795E

Key	Value
MD5	35A17F911C3AF0FD0C9BB35026492715
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	python2-lazyarray
PackageRelease	8.1
PackageVersion	0.3.3
SHA-1	6371D74809413BF8D94A8B0A982E7A8C56AF7B67
SHA-256	57FFD515031E81BA22A6A3DEF1556EEFF19631DD21834248A507BF71BACDF0E6

Key	Value
MD5	AF27E3B7E1A92DE064262F1687ED5625
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	python2-lazyarray
PackageRelease	bp153.1.17
PackageVersion	0.3.3
SHA-1	5FDDE522B859AA9ABAC9D545075EEA01C2EA9C33
SHA-256	53B48FD86DAAA4CD6DA1191F23DF3A942C081972714B3AC9F5037913D7C1363F

Key	Value
MD5	CEB65A5295122C682FD210BCC865D59E
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	python2-lazyarray
PackageRelease	8.1
PackageVersion	0.3.3
SHA-1	9C9E21C0F6C98CA0684A4A3BFF47D71E3C2234CF
SHA-256	18F8735B0F6D44BA60C90F2F7CA24B8B2AB463655DE423DB5E02E378C0FE56E2

Key	Value
MD5	21404FFF61393683EF879954F00E22BB
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	python2-lazyarray
PackageRelease	lp151.3.1
PackageVersion	0.3.3
SHA-1	C23EDCE8D9C55AD1E0D14895B497FF3C3283A7E7
SHA-256	8B947CE648C3D1C08ADAD8935FD11D959DD1A6F6B29753A160530586849ADC3A

Key	Value
MD5	FF9BFA2E6B04911ED49113C3E438AA38
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	python2-lazyarray
PackageRelease	lp153.8.1
PackageVersion	0.3.3
SHA-1	14C25C8C241C036DB321BC5E0945936CFFA14907
SHA-256	539C2B57E38BD831D2AC124CF36B3B383A3674F45E85F8D45DFC596BF68C3C5C