Result for A0DAD3013316612A7BD1447E3205CDFF9417DDC4

Query result

Key Value
FileName./usr/lib/python3.6/site-packages/lazyarray-0.3.3-py3.6.egg-info
FileSize2201
MD572DB24166D3E76FF20FBE9E29A140855
SHA-1A0DAD3013316612A7BD1447E3205CDFF9417DDC4
SHA-25684B49222C45645408B735004DDC82AFCA3A4C9F1E398A69C831186F4F66FBF24
SSDEEP48:DhqZr64/mFbKCxZK68ykQI/s+OpMn0c+GV0xpi0Vjk4BQI/jEu:DhqZWomFmQI6O/aek3keQI/jEu
TLSHT19D41948723D17BFE1F930587166842C1E59161A3B88A148838AFAC0D6F31FB4863F11C
hashlookup:parent-total22
hashlookup:trust100

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Parents (Total: 22)

The searched file hash is included in 22 parent files which include package known and seen by metalookup. A sample is included below:

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
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
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
Key Value
MD55B154726555411D54C97055185FC5A73
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
PackageNamepython3-lazyarray
PackageReleasebp153.1.17
PackageVersion0.3.3
SHA-14D8EC606596E2E4E326AE2DC31D209C0FD5BA683
SHA-2564F92C646B4E49A89578574C5116102886E326935C0F77B82021C5B8636230B1C
Key Value
MD5AF27E3B7E1A92DE064262F1687ED5625
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
PackageReleasebp153.1.17
PackageVersion0.3.3
SHA-15FDDE522B859AA9ABAC9D545075EEA01C2EA9C33
SHA-25653B48FD86DAAA4CD6DA1191F23DF3A942C081972714B3AC9F5037913D7C1363F
Key Value
MD529FEEF4C77DC76DB2CF3EC71F37842F6
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
PackageNamepython3-lazyarray
PackageReleasebp155.2.12
PackageVersion0.3.3
SHA-161ADD56DA45C800A0C91712F5A9D5CE9B2726AF7
SHA-256DA7B0B6F1DF5657B084292643603D7232C27968CC6148AF7B90CAF5DC7BF53AB
Key Value
MD5ECA5963C51C07370619F0CBA38AF8672
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
PackageRelease2.2
PackageVersion0.3.3
SHA-163293FD2EFFB87C6C0FF335E9A0AE6DE08650529
SHA-25632E1F195E84C1E22BF19A02AF870BCE5BB3DE053462C1B355563DFD261633273
Key Value
MD535A17F911C3AF0FD0C9BB35026492715
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
PackageRelease8.1
PackageVersion0.3.3
SHA-16371D74809413BF8D94A8B0A982E7A8C56AF7B67
SHA-25657FFD515031E81BA22A6A3DEF1556EEFF19631DD21834248A507BF71BACDF0E6
Key Value
MD50554DFF3BBEF85403C67417FC5702098
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
PackageReleaselp151.3.1
PackageVersion0.3.3
SHA-168F2FF9015B99B708302B65F98A4ADBCBEF63BDA
SHA-256CA2A4085366F3B55A1194B459D516FD6E3A4ED559171DC9D58B1A0A8814CF730
Key Value
MD53E5626CDE58425ECE452450E169D0C9C
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-16C4367EAB9120BABF16944B3EC839E1171B5E621
SHA-25677C11767B8A5F0F81C87B6BA2D1C7F209819E2FFDAFA6904B5FA90ED70191419