Result for 0EE247A0182F496C955A4110D44EDE513C7C083B

Query result

Key Value
FileName./usr/share/doc/packages/python3-lazyarray/README.rst
FileSize1207
MD50DA0DBB026347FAF640582E0E99C3774
SHA-10EE247A0182F496C955A4110D44EDE513C7C083B
SHA-256E8CD0DF893136DF34D70DDAE6C30D42DBD1D5DAA8126E0BEF9EF16A2D8539C02
SSDEEP24:cJwbLFmZ57ZVRK6c94oZlZvQeoNEv/kkbDunJMBGg04z+GbZ0xbIuQN0ViX:cGCxZK6cyGLQV6/zuJMH0c+G10xpi0VS
TLSHT11321F1DBA3B167BB1B9752C7835D20D4B1A260A474D784C41D57ED5D1B36EF4063384C
hashlookup:parent-total48
hashlookup:trust100

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Parents (Total: 48)

The searched file hash is included in 48 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
MD5FF9BFA2E6B04911ED49113C3E438AA38
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)
PackageNamepython2-lazyarray
PackageReleaselp153.8.1
PackageVersion0.3.3
SHA-114C25C8C241C036DB321BC5E0945936CFFA14907
SHA-256539C2B57E38BD831D2AC124CF36B3B383A3674F45E85F8D45DFC596BF68C3C5C
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
MD5FBC11C82E2576DDEFB837C0A633CF0AA
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)
PackageNamepython2-lazyarray
PackageReleaselp150.2.1
PackageVersion0.3.3
SHA-123980225591C34E7437B479AC9BB8A05081BC9CF
SHA-2566C0F8E05583A7653886DE4833CB5245BE6FB7020529777FE63949F9FCCF8346D
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
MD5192CCD1298D6F33AEED609F7C1CD3219
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
PackageNamepython2-lazyarray
PackageReleaselp151.1.1
PackageVersion0.3.2
SHA-1380892B2272600420C690FC32FE7C703479991C6
SHA-2568299D3914B95D7776699212871B965DF20D53CB80A0F96BCCEC9A7E7A6208D6A
Key Value
MD52A002DA4004EB18257072226158D906F
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
PackageRelease8.1
PackageVersion0.3.3
SHA-13F4274574CF283A5FD534F39452A35988D09E652
SHA-25677249536363A750AF4FEC2DE3436F5985594A3E254CB3A6D11D4AD7FBABA44FD