Parents (Total: 26)

The searched file hash is included in 26 parent files which include package known and seen by metalookup. A sample is included below:

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

Key	Value
MD5	FBC11C82E2576DDEFB837C0A633CF0AA
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	lp150.2.1
PackageVersion	0.3.3
SHA-1	23980225591C34E7437B479AC9BB8A05081BC9CF
SHA-256	6C0F8E05583A7653886DE4833CB5245BE6FB7020529777FE63949F9FCCF8346D

Key	Value
MD5	71B54295FF3813A64A0907E94C2DE466
PackageArch	noarch
PackageDescription	This package contains generated HTML documentation for python-lazyarray.
PackageMaintainer	Fedora Project
PackageName	python-lazyarray-docs
PackageRelease	6.fc32
PackageVersion	0.3.2
SHA-1	28C0C0CD23D5CE92BA74CDC6937D1C27B8EDD9FF
SHA-256	78D79FED32B724B635378777886030AC14E70803DEF0B6186F8CA84BF62C1291

Key	Value
MD5	192CCD1298D6F33AEED609F7C1CD3219
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	lp151.1.1
PackageVersion	0.3.2
SHA-1	380892B2272600420C690FC32FE7C703479991C6
SHA-256	8299D3914B95D7776699212871B965DF20D53CB80A0F96BCCEC9A7E7A6208D6A

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

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	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	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	ECA5963C51C07370619F0CBA38AF8672
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	python39-lazyarray
PackageRelease	2.2
PackageVersion	0.3.3
SHA-1	63293FD2EFFB87C6C0FF335E9A0AE6DE08650529
SHA-256	32E1F195E84C1E22BF19A02AF870BCE5BB3DE053462C1B355563DFD261633273

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