Result for 979459905056520D73068596E6F85547E7268154

Query result

Key Value
FileName./usr/lib64/root/libUnuran.so
FileSize17
MD518B7B8E674777A019CD9C6B1AD9CF4B0
SHA-1979459905056520D73068596E6F85547E7268154
SHA-256F01E7981E3302113E2CBCB27F356810043F9434A99FE768395C93F3785C3B03E
SSDEEP3:EwLC+LTLF:EweqLF
TLSH
hashlookup:parent-total8
hashlookup:trust90

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Parents (Total: 8)

The searched file hash is included in 8 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD57907173F18F94CE17CD75CA74D12369D
PackageArchaarch64
PackageDescriptionContains universal (also called automatic or black-box) algorithms that can generate random numbers from large classes of continuous or discrete distributions, and also from practically all standard distributions. To generate random numbers the user must supply some information about the desired distribution, especially a C-function that computes the density and - depending on the chosen methods - some additional information (like the borders of the domain, the mode, the derivative of the density ...). After a user has given this information an init-program computes all tables and constants necessary for the random variate generation. The sample program can then generate variates from the desired distribution.
PackageMaintainerFedora Project
PackageNameroot-unuran
PackageRelease1.el8
PackageVersion6.20.04
SHA-1E589E70C69C6AEC3AD618A9AA7CA720F1A370383
SHA-256E750AD7B33431CF2EF235017D2225C7391F1237AD3B099C17320ED0E2FE05AF2
Key Value
MD578AFF10E3E94408E4CCF530F904F1CAB
PackageArchx86_64
PackageDescriptionContains universal (also called automatic or black-box) algorithms that can generate random numbers from large classes of continuous or discrete distributions, and also from practically all standard distributions. To generate random numbers the user must supply some information about the desired distribution, especially a C-function that computes the density and - depending on the chosen methods - some additional information (like the borders of the domain, the mode, the derivative of the density ...). After a user has given this information an init-program computes all tables and constants necessary for the random variate generation. The sample program can then generate variates from the desired distribution.
PackageMaintainerFedora Project
PackageNameroot-unuran
PackageRelease1.fc32
PackageVersion6.20.02
SHA-16D98B95CCD0800F997DFC832FABA6A77E716E040
SHA-25613C139CCF3941AED9B5DDB84B8138A455E49A4305D7AF52087282E684410069A
Key Value
MD59FAF0190FEE7B0682CD590FA0A7E89EF
PackageArchppc64le
PackageDescriptionContains universal (also called automatic or black-box) algorithms that can generate random numbers from large classes of continuous or discrete distributions, and also from practically all standard distributions. To generate random numbers the user must supply some information about the desired distribution, especially a C-function that computes the density and - depending on the chosen methods - some additional information (like the borders of the domain, the mode, the derivative of the density ...). After a user has given this information an init-program computes all tables and constants necessary for the random variate generation. The sample program can then generate variates from the desired distribution.
PackageMaintainerFedora Project
PackageNameroot-unuran
PackageRelease1.el7
PackageVersion6.20.04
SHA-1242437976E00AC97FF32613C627BA24DBC6E9BC0
SHA-256E7906CB083FC6400F3871633420CD306D99333DD99E023C944ABD210DEBB1DA7
Key Value
MD5F73CFD8E795DF466116621932EF19811
PackageArchaarch64
PackageDescriptionContains universal (also called automatic or black-box) algorithms that can generate random numbers from large classes of continuous or discrete distributions, and also from practically all standard distributions. To generate random numbers the user must supply some information about the desired distribution, especially a C-function that computes the density and - depending on the chosen methods - some additional information (like the borders of the domain, the mode, the derivative of the density ...). After a user has given this information an init-program computes all tables and constants necessary for the random variate generation. The sample program can then generate variates from the desired distribution.
PackageMaintainerFedora Project
PackageNameroot-unuran
PackageRelease1.fc32
PackageVersion6.20.02
SHA-1AE62850DCA731CE713C3F54AC361297B8B418308
SHA-2568CF0F5171FA3FDF8C964912FB97FDE5D8DD614686A84320BBCA2D6AF43A26420
Key Value
MD50CFD3A2CAFAD8313CA344C110C544798
PackageArchppc64le
PackageDescriptionContains universal (also called automatic or black-box) algorithms that can generate random numbers from large classes of continuous or discrete distributions, and also from practically all standard distributions. To generate random numbers the user must supply some information about the desired distribution, especially a C-function that computes the density and - depending on the chosen methods - some additional information (like the borders of the domain, the mode, the derivative of the density ...). After a user has given this information an init-program computes all tables and constants necessary for the random variate generation. The sample program can then generate variates from the desired distribution.
PackageMaintainerFedora Project
PackageNameroot-unuran
PackageRelease1.el8
PackageVersion6.20.04
SHA-1CC958743712167313213E2351FF0C0A3D325FC3C
SHA-2568DEB79B63C0EA316CB4C3C9FBB2F6A249798E03F4518420AE52A8E03A937191D
Key Value
MD50B82A69BF1128AD37722B1CD0E42D8C7
PackageArcharmv7hl
PackageDescriptionContains universal (also called automatic or black-box) algorithms that can generate random numbers from large classes of continuous or discrete distributions, and also from practically all standard distributions. To generate random numbers the user must supply some information about the desired distribution, especially a C-function that computes the density and - depending on the chosen methods - some additional information (like the borders of the domain, the mode, the derivative of the density ...). After a user has given this information an init-program computes all tables and constants necessary for the random variate generation. The sample program can then generate variates from the desired distribution.
PackageMaintainerFedora Project
PackageNameroot-unuran
PackageRelease1.fc32
PackageVersion6.20.02
SHA-179EAB29C29F6CAAD0CD5DC0674637DA278FEFAC2
SHA-25681B680672B60793365C0ECFC274AB03740CC2DCC3A5E6F43285818186F8924F9
Key Value
MD5850CD900915578534F769B0155C25FA8
PackageArchx86_64
PackageDescriptionContains universal (also called automatic or black-box) algorithms that can generate random numbers from large classes of continuous or discrete distributions, and also from practically all standard distributions. To generate random numbers the user must supply some information about the desired distribution, especially a C-function that computes the density and - depending on the chosen methods - some additional information (like the borders of the domain, the mode, the derivative of the density ...). After a user has given this information an init-program computes all tables and constants necessary for the random variate generation. The sample program can then generate variates from the desired distribution.
PackageMaintainerFedora Project
PackageNameroot-unuran
PackageRelease1.el7
PackageVersion6.20.04
SHA-1E204EC2C5C4496A497FAF66BA379A123582451AC
SHA-2563CDDE4CB8FF52DBD9B3C018044369D4B523AB0F8821BA69C3E0857C468A543B5
Key Value
MD5760EAAF8B383A0B06D98A692B269380F
PackageArchx86_64
PackageDescriptionContains universal (also called automatic or black-box) algorithms that can generate random numbers from large classes of continuous or discrete distributions, and also from practically all standard distributions. To generate random numbers the user must supply some information about the desired distribution, especially a C-function that computes the density and - depending on the chosen methods - some additional information (like the borders of the domain, the mode, the derivative of the density ...). After a user has given this information an init-program computes all tables and constants necessary for the random variate generation. The sample program can then generate variates from the desired distribution.
PackageMaintainerFedora Project
PackageNameroot-unuran
PackageRelease1.el8
PackageVersion6.20.04
SHA-157345A9EC89CDD90AF05C299F6DE12128E3E044E
SHA-2561277B15C92D9AB58C527EF0449D6FA9BC62D6956BE4BE091232686106C910A6D