Result for 067077940C74F327245CCA5288F37C64E2866041

Query result

Key Value
CRC32DDBD4C8F
FileNamehermite_e.py
FileSize35361
MD56594646DA99A238B5DBFD90E3B7606EF
OpSystemCode{'MfgCode': '1006', 'OpSystemCode': '362', 'OpSystemName': 'TBD', 'OpSystemVersion': 'none'}
ProductCode{'ApplicationType': 'software collection', 'Language': 'English', 'MfgCode': '369', 'OpSystemCode': '51', 'ProductCode': '17075', 'ProductName': 'LXFDVD176', 'ProductVersion': 'November 2013'}
RDS:package_id17075
SHA-1067077940C74F327245CCA5288F37C64E2866041
SHA-25600E5CF0F6C03A7577D3606A89E30DA9CE9B9585AFDD2B100E1F6DE657CE1BEB5
SSDEEP768:DOB0BVbkGQD78X/IOXFAllp2lNJiBi5Fwg7a:7buDQPIGAp27Jik5Fwg7a
SpecialCode
TLSHT107F2A517AC4917B68353C2BA68EB8503F315C07B2514341538CD6ABD2F1793A93BE7AD
dbnsrl_legacy
insert-timestamp1648665616.0314145
sourceRDS_2022.03.1_legacy.db
hashlookup:parent-total11
hashlookup:trust100

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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
MD5BE151B92F041AE9666E7AAE7B6C9F5DD
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
PackageRelease6.fc18
PackageVersion1.6.2
SHA-10FEF662C99066C4EF033CB375996823556402C41
SHA-256B77AC77374D29FC5E82947C936BC6EF8C5BB6423F1DBF6D71522346D2D43546C
Key Value
FileSize1862110
MD586431EECCE700EDF1C2A62325AB111F6
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
PackageVersion1:1.6.2-1ubuntu1
SHA-16DC869D681F609F9F5F81291104C798867D331A2
SHA-256DD6BF7DE7C7A9BABCC80B8A6DB54445A52832C33BCF3E6FFB3AB6A67B9FFE3F5
Key Value
FileSize1821624
MD56820E6EA06471F2283C414EFF61E4569
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
PackageVersion1:1.6.2-1ubuntu1
SHA-1119D469D134D7C3C5D37A54AACB1EBA1DFCDCE20
SHA-2565F7F245088BE3B80C1D280800CC739FC53284E92335525A5657C9AACCBAE5962
Key Value
MD57853923DED2824B65560486EE4401080
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
PackageRelease6.fc18
PackageVersion1.6.2
SHA-17A8E19F6D5635D6E26B64DCA5F302652B3F6709F
SHA-256B7F7EE39977EA302F9FB417464AB5C774339FB756F2D3AE7B0891763F9CC6124
Key Value
MD5F3972ECC5055016D4EB99CD77C361CC4
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
PackageRelease6.fc18
PackageVersion1.6.2
SHA-10586AFA2243CD67F3690A9102E048C5E05CB3ACF
SHA-256EEF1EEA9E457544EB923012B5238A9AD80F31CC769D06FB86C2B7EAD4632F7DE
Key Value
MD5421DD163A6995289A0BB603744FAF2C7
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
PackageRelease6.fc18
PackageVersion1.6.2
SHA-1AFE688F3DCE135533999108CB3BAA02B62DE52FE
SHA-2563687501B6716E9214FDF72EFF29CF06C27CA952B35548D1BA6BC9BE4D74B19D1
Key Value
FileSize1719872
MD560A9AE1E830A8FEB17707C3A64ACA96E
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
PackageVersion1:1.6.2-1ubuntu1
SHA-145575B1CF0D592867231ECF972EACEA2D826C882
SHA-256BA303A385CEF0581226EB19D15989F08195B0795D0FA05C466C0E93F2C2469B8
Key Value
MD588517D9771EB7124285720EBAFDFD1EB
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
PackageRelease6.fc18
PackageVersion1.6.2
SHA-1A9A58FBE5CF630A7B9C95863E1A332EB62541794
SHA-2562777527BE12A16C588814EADDB8F045CDBD6BA421C03874EFD07E63314ECFE15
Key Value
FileSize1832442
MD52A879A263B45F34C9E78AC752EED3B23
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
PackageVersion1:1.6.2-1ubuntu1
SHA-12D68B6BE4B7A57BC9B912D1E2A1446FFDF25332D
SHA-256DC61BBC8B7AD175E8AB7F963A0DF6FC0B2E9680430470620E186CC4C2BD82C04
Key Value
MD5BF2D31D6044C128428FEF7219359FC46
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
PackageRelease6.fc18
PackageVersion1.6.2
SHA-15E8D035948CDE1DD0F587D9DDF5D124467735C71
SHA-25664AD5B0C017B339864CE3704E46BAC3E873DC10A6CA080E81D32876EF729EF65
Key Value
FileSize1860650
MD5A12CB75504BE027E5246037DF3E1FAED
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
PackageVersion1:1.6.2-1ubuntu1
SHA-18EDAC62EA23425E26BBB994781E40FFEC7967773
SHA-256501039C3ED5CFFC53BFF6B34E192CC8D45B28053C519D4385DE51AC5C3E25DB7