Result for F367F26D99375CDE1203506BBD00DA3993E0C915

Query result

Key Value
FileName./usr/lib64/root/libUnuran.so.6.26
FileSize20
MD5134C99D86DAF53587ABD8C298C1E6CDA
SHA-1F367F26D99375CDE1203506BBD00DA3993E0C915
SHA-256E7638D4D6121E57064AEB06EE48A0B222FDC4385FF4241D984D4A4297433B285
SSDEEP3:EwLC+LTLFT:EweqLp
TLSH
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
MD5C815DC996577F988D48C23531D7E4A7A
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.
PackageMaintainerjoequant <joequant>
PackageNameroot-unuran
PackageRelease1.mga9
PackageVersion6.26.06
SHA-1FEDA697315BFEDB77C471588C66F592C33AF8DE9
SHA-25600F4F94BA11A5D30F91CC4AE37ACA8BD2CA939902A59B889A6575AF9072D966B
Key Value
MD5074CE1489E8144F80A62B94B9C152B24
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.
PackageMaintainerjoequant <joequant>
PackageNameroot-unuran
PackageRelease1.mga9
PackageVersion6.26.06
SHA-11B29B1CA0D6ED58B7C54EE5BD5AB14AA61D221C2
SHA-256746EDFF984FFCC53D67292FC420240F01950A0BB3BC48970649724A8AEDB7654
Key Value
MD5AD06AF328E10561FA67E401C0CA4CA10
PackageArchi586
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.
PackageMaintainerjoequant <joequant>
PackageNameroot-unuran
PackageRelease1.mga9
PackageVersion6.26.06
SHA-1166C43A2CF59FE3674812C1AE028E3C5369DB718
SHA-256C2D38A907A9CE37889F4915950026B69DEBA34A5716F07C32E5A45AE49369104
Key Value
MD5D195D73090C03E8EC9A4DA35E38334AA
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.
PackageMaintainerjoequant <joequant>
PackageNameroot-unuran
PackageRelease1.mga9
PackageVersion6.26.06
SHA-1942CABC852A6969F720072FAF7B9B9B575461761
SHA-2567A253F40D9A301445361D20017A1B089CC2A1E9762CAFB8EF4AACAE2323886CE