Result for 3602B93A0769A975ED15E8444337BDE13FDAD172

Query result

Key Value
FileName./usr/share/doc/packages/python39-lazyarray/changelog.txt
FileSize3430
MD59E0E83147618292CC21B53F3A0A89AAA
SHA-13602B93A0769A975ED15E8444337BDE13FDAD172
SHA-2561CDD932C9D8BE53D21FF8639D772C8F3225ABA79DD97B4A5C75EA87280A87BE8
SSDEEP48:f5xajb43B/DQNMG0Cao8z+b9eVCLGGrfAB7fvmG1RvquEjIXOYxZD:7ajWtENMGLazz8QChoB7fvmGijIxZD
TLSHT12E61632AFF6F377A076004D6D21962C6DF14C1787BE1B269801BA8E1222776D423F06D
hashlookup:parent-total23
hashlookup:trust100

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Parents (Total: 23)

The searched file hash is included in 23 parent files which include package known and seen by metalookup. A sample is included below:

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
MD55E4C25B0279D0E9C4441BA9A16F89AE9
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)
PackageNamepython3-lazyarray
PackageReleaselp153.2.1
PackageVersion0.5.0
SHA-113B336987D06CC8E89326AD8592451CFCF2A661B
SHA-2568CA7FF9A6BE1E286EB42E185716E26035FBAC2BBEE09CB0CD106CCDFB0560EEC
Key Value
MD5DC0EC6947F48E2CFC75DEEF286A6387A
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)
PackageNamepython3-lazyarray
PackageRelease2.1
PackageVersion0.5.0
SHA-114D68072D37BF162018ED7153063A1F5CFFCAD0A
SHA-256795FB0C8CB963A897070CEC97ED2CA816DCFFE602DC1C16390C2442C807A2150
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
MD51B8C5C225E534EED0E4EB778A97267FC
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)
PackageNamepython38-lazyarray
PackageRelease8.2
PackageVersion0.5.0
SHA-12779C4756845A33C1339DC1A9398772B73A664CF
SHA-25634E8E0018D21A6D0D613E66D458E9CE529D621736A54A606247E42A83F74EDEA
Key Value
MD5BD0C72EF37D25576317F01E588514005
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)
PackageNamepython3-lazyarray
PackageReleaselp152.8.1
PackageVersion0.5.0
SHA-129080EC257EC2D0336245A09E025EC4715FEE5E9
SHA-2564B4396B880D87D1DBE67EA178D09C434328BB58F07F7659131B2DE96D1C2A0C7
Key Value
MD5FCA36346952A85BA87F8A46A70CEE7CD
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)
PackageNamepython3-lazyarray
PackageReleaselp152.2.1
PackageVersion0.5.0
SHA-14766353FE023E95A261E734E244DC47CA7DEB6EB
SHA-256CE6803F2CABE348FAD875EDDCFB3ECF0ACEA3C6F78A0E8495D2E49C347A9991A
Key Value
MD5051ADC5638A588B0D7A0C929424F85C4
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)
PackageNamepython3-lazyarray
PackageReleaselp152.2.1
PackageVersion0.5.0
SHA-1486FB9517D3DF2152AB84DA6837B53DF8A6E6637
SHA-256F157EEE3337748F5ECD7A379307117E0150740E6D7D2493F3148F561D08F8F13
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
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