Result for 0214554845442AF5D72F3B087FD1F2549BAE7CD2

Query result

Key Value
CRC32ADD41283
FileNamemisc_util.py
FileSize85099
MD5BB9CAB539A74B5E704DB6E70C7AC2067
OpSystemCode{'MfgCode': '1006', 'OpSystemCode': '362', 'OpSystemName': 'TBD', 'OpSystemVersion': 'none'}
ProductCode{'ApplicationType': 'Unknown', 'Language': 'English', 'MfgCode': '80931', 'OpSystemCode': '809', 'ProductCode': '196470', 'ProductName': 'Unity of Command Demo', 'ProductVersion': '117902'}
SHA-10214554845442AF5D72F3B087FD1F2549BAE7CD2
SHA-2565E46AA035BE60148EC84DB1966689A5A2F60486B9C868EE73A1435DCE64568AE
SSDEEP1536:d9B/CUfvzVYb7g/xVpdUONhN9KC/ghNZbkjEnjrPN3W/c0JrMm:dfVVYb79pCUNZbkjEnjR5m
SpecialCode
TLSHT14F83A6179C461A33D383DFB9999B9452D729B9E7610820387DEC61842F12938C3F6EBD
dbnsrl_modern_rds
insert-timestamp1646978615.748687
sourceNSRL
hashlookup:parent-total11
hashlookup:trust100

Network graph view

Parents (Total: 11)

The searched file hash is included in 11 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize1849782
MD58878B886BACB361E67E572B333FDA99E
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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-numpy
PackageSectionpython
PackageVersion1:1.6.1-6ubuntu1
SHA-1AFDB2EE98B39384C308F7676CE5A8047FD956C3B
SHA-25675E3EC689FD69C0B14A514FE00884D40BD985F4ACFA316B248E0B76C1C87FCFA
Key Value
FileSize1839278
MD57EF316869AA4EF5B259B5BB057C94BC7
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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-numpy
PackageSectionpython
PackageVersion1:1.6.1-6ubuntu1
SHA-1B8BBD3BBBF77EE3B33092D0453B92747BFC40AF2
SHA-2566EBBEFD486AB6315EAFBB00F27CE9B1A66BE01F1E57E29FCB09CC35EBDB4A01E
Key Value
FileSize1811094
MD520CD3A2112746A18A25AC2E46FDA3538
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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-numpy
PackageSectionpython
PackageVersion1:1.6.1-6ubuntu1
SHA-1C352E2960B596073E7CE4F22684CD394B32E87E7
SHA-25605E330EBCFB25CCF4EB962FE8BF624FF535B717A9B0FA1A82B81BCA7850288E1
Key Value
MD56A9BA4D87932D7406333A7FF56436A95
PackageArchs390x
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
PackageNamenumpy
PackageRelease2.fc17
PackageVersion1.6.1
SHA-1533EA5A9FE5B4A87E839258FC8B11A956AACA268
SHA-2564E1619741A3018B33D6ACA5E4D732B421B39DCDA9C14D7865E698E171CA1362E
Key Value
MD542341D71F23F1D15DD244B01BA94D277
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
PackageNamenumpy
PackageRelease2.fc17
PackageVersion1.6.1
SHA-11D38A8960B145DE67C2CE623C7ABAFC96F9976E0
SHA-256871450E3D2EF3F020355D7A6BB2B465DEC85045F1468A9AC10926C4F0D4187E4
Key Value
MD520C6C9EE909363BD04A7499F916F6509
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
PackageNamenumpy
PackageRelease2.fc17
PackageVersion1.6.1
SHA-16D6F6297306C5A13C287445082AA6082A1C58113
SHA-2567C5461ABE97CEE53F0B53D406993F85EC35594AFB53369BBDA03F8AF44304215
Key Value
MD5EFE6D01DBE05652ABDD315B84FEC2045
PackageArcharmv7hl
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
PackageNamenumpy
PackageRelease2.fc17
PackageVersion1.6.1
SHA-1A6170E6CD71DA3BEBAEFA13A2916211AD0D39FDF
SHA-256D17ABDD3C93F8D8F223337554034F4164571B1E94D8469828031EB3D53BE92C3
Key Value
FileSize1718146
MD52884079BAB99D4561B9C66362322ABF4
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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-numpy
PackageSectionpython
PackageVersion1:1.6.1-6ubuntu1
SHA-1CDD0B422E9C2B955ABB5D2CF55974966C378C9CB
SHA-256E5F9BBA48D5FD072D460CC30745A029BABD9CB633200286F98CF5058A0F3A220
Key Value
MD5D3BDC8B83990FD1B7925BF66A20B93B8
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
PackageNamenumpy
PackageRelease2.fc17
PackageVersion1.6.1
SHA-1D627EDD61CBCF136AE4A2CD37BAB8B06DAA3E247
SHA-25653B72F26FE855E886E7337B1B0774936C21C03DFE7C120E98542972EB50F1C49
Key Value
FileSize1717510
MD5EB7B33CE9176807172012AA215DC50F7
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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-numpy
PackageSectionpython
PackageVersion1:1.6.1-6ubuntu1
SHA-1299BB71CD3CD683E1218C8C4B221A31310DE2CD6
SHA-25626AE89BF06D87F7197E4394F766FB8FD97F733969174690F0F4224C18EC87C7B
Key Value
MD50E6BA49F5A15477B2969A15522E93F22
PackageArcharmv5tel
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
PackageNamenumpy
PackageRelease2.fc17
PackageVersion1.6.1
SHA-1E2E2A060D05BB3A6F20D98871082BA0A2C6DD44D
SHA-256042B2F72234F16B38D3723F90E7B72D21A07FE0000B94A44EBD59EB2CE999FF8