Result for 0498232A711EFCAE69571007ADBA57BDBD293899

Query result

Key Value
CRC328C61A5AA
FileNamenoprefix.h
FileSize6458
MD5D08691138FA3795AAE81900DE2D37A15
OpSystemCode{'MfgCode': '1006', 'OpSystemCode': '362', 'OpSystemName': 'TBD', 'OpSystemVersion': 'none'}
ProductCode{'ApplicationType': 'Graphic/Drawing', 'Language': 'Multilanguage', 'MfgCode': '2228', 'OpSystemCode': '884', 'ProductCode': '181542', 'ProductName': 'Inkscape', 'ProductVersion': '0.91'}
RDS:package_id13592
SHA-10498232A711EFCAE69571007ADBA57BDBD293899
SHA-2568EB454F9FA86340DE022F54F2C3150A684D253398ED1433D060D4DD35C845087
SSDEEP192:CKFCA/x42qAZV09l87wQ0pH19KrfEHNcn:GA/xRq0VR7wRpH19KrWNY
SpecialCode
TLSHT19ED1ADEA7EED9882A4B41D14597F421A930BEDB311860CEE306C5FEC0F5463690F18ED
dbnsrl_modern_rds
insert-timestamp1648768626.561573
nsrl-sha256rds241-sha256.zip
sourceRDS_2022.03.1_legacy.db
hashlookup:parent-total27
hashlookup:trust100

Network graph view

Parents (Total: 27)

The searched file hash is included in 27 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize1934572
MD58FE1AF738FC48610CB4007DF670BC0F1
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
PackageVersion1:1.5.1-1ubuntu2
SHA-10177806150036F2FF6FEDC3A2A503CBA0A7DCA7F
SHA-25602442BCD5A679ED8B05BAF03E214A81166241968CA8CB1AEF3E05342B537A21F
Key Value
MD5111CAFBA9687B7BC89020E62858BFFAD
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
PackageRelease1.fc15
PackageVersion1.5.1
SHA-110D40862A63E26289FCBDB99DF3C74CD4A3B1083
SHA-256BA62E1C52F04EA160292A89B4A6668BFEB4A935114002FDAC564895A1767337B
Key Value
FileSize1971208
MD5CC583406BC97E40093D1A80B0AD0B319
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
PackageVersion1:1.5.1-1ubuntu2
SHA-1154B73F5924621659422EA6445F5E19A8502119E
SHA-256D432AABBC136B87E4620187389D69EED4D4F14F6E8A0947BCC504FA47ED1CC23
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
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
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
Key Value
FileSize2062242
MD5DA1FFAD99473C1EF0DA1ED60ADA7556D
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
PackageVersion1:1.5.1-1ubuntu2
SHA-146BA7401697DEB8914441DF52C9FEF7DFE4CAD37
SHA-256C06E362444B578BFAF7AB3AB95BA6A9FE54B94FC9B02CBA7C94F85732DBFA75E
Key Value
MD531AD46D418C96BB3349813703E0DB931
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
PackageRelease1.fc15
PackageVersion1.5.1
SHA-14A6BF24A355798E8C60EFE8F32F3E68C4241399C
SHA-256744F9AED5B462F852D214465E1C6537FF7433CCD081D554F44E6F269E89AFB82
Key Value
MD5469203E0BDCDC5234B4C4A56B661F64F
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
PackageRelease1.fc15
PackageVersion1.5.1
SHA-1619291A1C44DCA95A0F036CED41CC8C1140D19E0
SHA-256F8F929892BB436953D598FCEDF5140AC0700A5F3FC5E409B86539A7854E8616C
Key Value
MD595AA40B34C70C506D1DBD203B78B1887
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
PackageRelease1.fc15
PackageVersion1.5.1
SHA-163CB1C57F4A05A0AC45123DDBA71F0DFD342D502
SHA-256CE0B083ACB1712F231E29A571839C4565CEEA7E8D7D2368326DAA04C128D3AF0