Result for 3CF8AF5366111307FBEB4EC7157F325BD5513551

Query result

Key Value
FileName./usr/lib/root/libUnuran.rootmap
FileSize581
MD5890BF79103906EE183788AF34AEAB42E
SHA-13CF8AF5366111307FBEB4EC7157F325BD5513551
SHA-256617FC6A9E99EBDDBB4E31EC74DFCB15F6EE08CECFEC666F1093A6ECB3369BD59
SSDEEP6:jdkXi+IHLFzkXi+SQhFzkXi+ccdQhFJkXi+QD/FZkXi+UyFRkXi+CD0kXiO:je5Iri5Hi5cc8A5gQ5Uyo5ID9
TLSHT1BAF062709A1BCE543EF843C5248697D8755F7D0C816B0A683BEDE08F7BA6114F169349
hashlookup:parent-total4
hashlookup:trust70

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Parents (Total: 4)

The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD53091E6EB437AB368CC8C475483B13C3E
PackageArchppc
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
PackageRelease5.fc20
PackageVersion5.34.09
SHA-1A83CF9379DA3B917F650D178840B44EB49EBB9E7
SHA-256116ECDCD732F94A9BA50101CA30395CA8E627536009520C7B9DD20CEA7CC3FE1
Key Value
MD5F9A7B3C5AF7A30ACDA362E78AD4BC6AD
PackageArchppc
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.
PackageMaintainerKoji
PackageNameroot-unuran
PackageRelease1.fc17
PackageVersion5.32.02
SHA-139D83341BEEE6D656698682EA7F531A2B9D52D3C
SHA-256DE17C6E1C53712CDCB7D1EB3FCE6DCD91C539B54958DC4C02F77A986B2BFDFAB
Key Value
MD531FE6D61999ECA2E55DEC773FF06DA9E
PackageArchppc
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.
PackageMaintainerKoji
PackageNameroot-unuran
PackageRelease1.fc18
PackageVersion5.34.02
SHA-10FB84ACDDF6A693F11360401663201FE657A085F
SHA-256B52A4F01CAC5E290FD348A4BEC87037F1B2B853CE1C9F42FD6ED8CBC4E3BD41C
Key Value
MD573679038D7F9C5FEF3A718988179D171
PackageArchppc
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.
PackageMaintainerKoji
PackageNameroot-unuran
PackageRelease2.fc19
PackageVersion5.34.02
SHA-1CE48E994A9BBD553F0ABCC32153C5B2675EB3E81
SHA-256B83AE035B926D46BC7BD9C88F6B8D73DF1767FA80C5CC5910E1E1ACBEE427AF1