Result for 0A1262924F739E489FCB28F061F18162F5EA2F2B

Query result

Key Value
CRC32F4DAB960
FileName__init__.py
FileSize602
MD5E242DC5C70F2BB0DE6ADE5983AFAFF91
OpSystemCode{'MfgCode': '1006', 'OpSystemCode': '362', 'OpSystemName': 'TBD', 'OpSystemVersion': 'none'}
ProductCode{'ApplicationType': 'video editing', 'Language': 'English', 'MfgCode': '1722', 'OpSystemCode': '51', 'ProductCode': '186934', 'ProductName': 'Blender', 'ProductVersion': '2.69'}
SHA-10A1262924F739E489FCB28F061F18162F5EA2F2B
SHA-25644A5BCCD1EA272D6CBD588A3D6251B0EB7CD6BFF117696117BF61ACAE9B5B920
SSDEEP12:1SLyDUMBiwiExK/q3mpwM0UMhMRFAMGZM9MXXExMRWRMAZ1/AbBn4uk:1GuUMA/q6aJWDQa
SpecialCode
TLSHT118F04F3E2163270085ABF7D7D39B2339037343611F70104A5972A6B767D289F9A90928
dbnsrl_modern_rds
insert-timestamp1646981436.6858087
sourceNSRL
hashlookup:parent-total44
hashlookup:trust100

Network graph view

Parents (Total: 44)

The searched file hash is included in 44 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5B07E2281A03035A701C5EA61C7C4016C
PackageArchppc
PackageDescriptionNumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainerKoji
PackageNamepython3-numpy
PackageRelease2.fc17
PackageVersion1.6.1
SHA-10E0FE784D3D217F9D72D444E17AE47A274653074
SHA-2562C4AD94501D7176201A8A3BDBC115D750ADB40138968A1652D7CC6CB123FA58D
Key Value
FileSize1707306
MD58F88F325D9D3FC5EDA4939B788A4511B
PackageDescriptionNumerical Python adds a fast array facility to the Python language Numpy contains a powerful N-dimensional array object, sophisticated (broadcasting) functions, tools for integrating C/C++ and Fortran code, and useful linear algebra, Fourier transform, and random number capabilities. . Numpy replaces the python-numeric and python-numarray modules which are now deprecated and shouldn't be used except to support older software. . This package contains Numpy for Python 3.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-numpy
PackageSectionpython
PackageVersion1:1.6.1-6ubuntu1
SHA-115F1ACEF6BEA16956E0D6AEC4AF27629F7B3670C
SHA-256A5FA6DC231FF839F067F7D7F63475FD9379E90787079C3F9D06999B53F0E3DB3
Key Value
MD55B9C17CD3D5B6001DA3DE2AF828BD44C
PackageArchsparcv9
PackageDescriptionNumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainerFedora Project
PackageNamepython3-numpy
PackageRelease0.3.fc15
PackageVersion1.5.1
SHA-11ABE783A4B4F6596C28C6068C1EC3EEB7EE6B290
SHA-2567834CFD80B264B0BD4255B2163017AA53FABC66F76BE741C9B408A71476BEA1C
Key Value
MD5A8624F0ED48BD4AFBAD3D3C766D77DE2
PackageArchppc64
PackageDescriptionNumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainerKoji
PackageNamepython3-numpy
PackageRelease2.fc17
PackageVersion1.6.1
SHA-123E0359C94EB873D68565614B3E47257A043B0DF
SHA-2567B7C4F6ED29FEA4ECDC2D502C751109925F155ADB2F722860AD5B21044D0DFF9
Key Value
MD5FBF10AD580803C3B3B343430CEFC2966
PackageArchs390
PackageDescriptionNumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainerFedora Project
PackageNamepython3-numpy
PackageRelease1.fc15
PackageVersion1.5.1
SHA-125FF27D5691DF5F5B60959A68C8B650F42B4E892
SHA-256125A47CF9F58E8DA9B43E89038A9CD3AEA8427CDD101887E6EAE43FF833E3BF5
Key Value
MD5D8318AC83ECC4F0CC4C2FC91195F8BF0
PackageArchppc
PackageDescriptionNumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainerKoji
PackageNamepython3-numpy
PackageRelease6.fc18
PackageVersion1.6.2
SHA-12D0FE5D0BEE036A26F640DC6C2A4F87A8FF39477
SHA-2567F00D0B527D6C3AAD5581C11CD2C3B41606B1389CCA8C9616578B5FB9973132E
Key Value
MD5F40C433B454FBC950B31CE60ADB37FC5
PackageArchs390
PackageDescriptionNumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainerFedora Project
PackageNamepython3-numpy
PackageRelease2.fc19
PackageVersion1.7.1
SHA-12D2EE517CBFBE4CD71D91B213757A2A5DB836017
SHA-2560349DD93C220B9F40AF9C1E554813B35CBF998F94EDF5C2136DFBEF661BFEF64
Key Value
FileSize1833988
MD5E69D9FE0A93562F3406E966E8000A915
PackageDescriptionNumerical Python adds a fast array facility to the Python language Numpy contains a powerful N-dimensional array object, sophisticated (broadcasting) functions, tools for integrating C/C++ and Fortran code, and useful linear algebra, Fourier transform, and random number capabilities. . Numpy replaces the python-numeric and python-numarray modules which are now deprecated and shouldn't be used except to support older software. . This package contains Numpy for Python 3.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-numpy
PackageSectionpython
PackageVersion1:1.6.1-6ubuntu1
SHA-131D1304B0D3A958EB59B93A2B192055ADB47CDF5
SHA-25602D4257912DA4CB76837B9E61B0E552E3E3C32C9999F39CCEB1EDCCA5FB83ACB
Key Value
FileSize1716910
MD5A8959F0AAF76C8BB527E1C74093C9CC9
PackageDescriptionNumerical Python adds a fast array facility to the Python language Numpy contains a powerful N-dimensional array object, sophisticated (broadcasting) functions, tools for integrating C/C++ and Fortran code, and useful linear algebra, Fourier transform, and random number capabilities. . Numpy replaces the python-numeric and python-numarray modules which are now deprecated and shouldn't be used except to support older software. . This package contains Numpy for Python 3.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-numpy
PackageSectionpython
PackageVersion1:1.6.2-1ubuntu1
SHA-133C8B2E1CBE08B3135BB8A127293CBC315ADCD9D
SHA-2565B3541C51CEDAB44A39A29433A6BBE2CF307D75AEBD5A72A2933E300535B738D
Key Value
MD534B5C546627AD261F8D2E6612C9837F3
PackageArchppc
PackageDescriptionNumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainerKoji
PackageNamepython3-numpy
PackageRelease1.fc15
PackageVersion1.5.1
SHA-13D6AC7F44DB3F8B74A3F8C765D64AFC1CF0402B5
SHA-25646514B108AB3C368758CA26FEDB62D1163E383DABE9AA54FE55E46E37A78764A