Result for 11AB2E1B8F390983494D4654080F3B2F5CF59848

Query result

Key Value
FileName./usr/lib64/root/libUnuran.so.6.22
FileSize20
MD5355F8F1CF22552521B8C7D2F0F1074E2
SHA-111AB2E1B8F390983494D4654080F3B2F5CF59848
SHA-256C546A76DF0F1615DCBF7B64F67B61434E2A2D3BBE1A23722AF8815D279456BCB
SSDEEP3:EwLC+LTLhn:EweqLh
TLSH
hashlookup:parent-total10
hashlookup:trust100

Network graph view

Parents (Total: 10)

The searched file hash is included in 10 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5CCA074C4AF251FAFC4A098678D924775
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
PackageRelease2.fc33
PackageVersion6.22.02
SHA-17CB7D7B024A8D164072A2C9780F1CB576F0EFA41
SHA-2564EEE42A77715FF0DC1248662090D0BC81463B6B006E05FBD123F1626A80C3BE5
Key Value
MD56E291E69530A1510407EA825C46DE2D7
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
PackageRelease3.el8
PackageVersion6.22.02
SHA-1423A11146753736E5EF4193922D19A7D8E72412A
SHA-256463D723D15525CAF0CE8F61B000E2C997C1419ADDDA4E02DEBBEE96CA4702207
Key Value
MD531829ADA7B019B117F77ED50669731B3
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
PackageRelease3.el7
PackageVersion6.22.02
SHA-141A42E3B6A274877E5DFD2FC83CB83388AE87FC4
SHA-256D7BB71A45D3AE66AAAC604324AAC8A413BA9A46B6C0C298194411EB6A603A972
Key Value
MD5221AB30315BC8D2FFD9A44C0CAA7E330
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
PackageVersion6.22.02
SHA-163020B5EFB25AA8D27BE754132EC84AB5E631ED7
SHA-256764D2E23410F65974EB550D3D20E19A8BC7512EE0A7FA45E4696AC2A6E067FD5
Key Value
MD58076B27F40E6EEA41DA585380E813DE6
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
PackageVersion6.22.02
SHA-18F4EFA96F2DFBFBBD6F2EB74B391F412E746BDAB
SHA-2566195B7BA57476555E9D26B0FB5EDEF29CB4C757003AE6A90007B3C89CCD3CD28
Key Value
MD5F7330E3CE6810A9C91C8648838DCA55A
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
PackageRelease3.el8
PackageVersion6.22.02
SHA-1D95CDB8C76E86CDC3B00F0FE39CAC89EFBD77F67
SHA-256D03EB8BC1D5A4D8485A366D8F6BC60B03BBE71CAC6D830935FA80E08CCEBBFDF
Key Value
MD55AF286ACFBAACB832C994AA8D792015F
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
PackageRelease3.el7
PackageVersion6.22.02
SHA-1D68E7FC5DCF1CD723D8FEE4E6285446ECF91D60F
SHA-256102C03408D757964A9E79E9F16B9EFDE270F82B25C2846F8836CFF60D2F94D2E
Key Value
MD5A6BD8C032CAD3E9DE35813CFFA169F05
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
PackageRelease2.fc33
PackageVersion6.22.02
SHA-1043D2A7360B51BB5F1A3E3187B93E80CDC6ABCE9
SHA-2563026BCDC6CF60EE17ECF4FBEA51332667691A6AF73DD804B0101750828BBCC66
Key Value
MD5A84DDAC26C70799861534498FA86AD57
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
PackageRelease2.fc33
PackageVersion6.22.02
SHA-1CC6D161044AC2587E1671BA2BCF551870E60D83E
SHA-256B5A52D6E3EE884538A8D83485D74D669F4599BDC95440F0C42CC866E584DF59A
Key Value
MD56EBAA9FE2EF3A90E04286B8031B9CD6B
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
PackageRelease3.el8
PackageVersion6.22.02
SHA-181FA389F174F08AFD61B7C2C1AB56280D31F0BCB
SHA-2565AADD1B39E70E559535C30E1497022879FCBC100384F8194ED433CC49B4D4E61