Result for 1766DE0CE53FFE63123927BC6C3312DB0EC3BBA9

Query result

Key Value
FileName./usr/lib64/root/libUnuran.so.6.26
FileSize20
MD50FF3E7A4F05417E972B5A2F49B616E16
SHA-11766DE0CE53FFE63123927BC6C3312DB0EC3BBA9
SHA-256B3C3C4E6EE9A4A77236CE492C57ABDC6169211721684617DB6577FADC72A35EE
SSDEEP3:EwLC+LTLFX:EweqLt
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
MD520028BAA5FCC1172E1461E719E32D06B
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
PackageVersion6.26.02
SHA-1D518FA80B3956082F0A3AF5BC2A448C68F489667
SHA-256174BBA7AF0DEEFF4387B0381EF345415D19589AAEBDE04E33D464FAD4397D8EE
Key Value
MD56619A7CA86C2681BFB242CB6AC955524
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
PackageVersion6.26.02
SHA-1C2580444486DE7289A7A9C2B9BFE39ECAA1A7C3C
SHA-256DE1213282337C42091267C21B0906C165D15E4C59F08DC09105002E5DAED2B84
Key Value
MD59D86BE54D0862DBEFBB75739D8EEB189
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
PackageVersion6.26.02
SHA-17295E5640F33ABCF48DBE80869D81B36B83C3608
SHA-25645F07F0F1824AEAACBBB09C2A6D99C379825BE76628C2D7B99989800482B52BD
Key Value
MD53726E5D6EE3486113D7346FA1464D70D
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
PackageVersion6.26.02
SHA-1DD63556A84BBBDF8E7838DA05B60011C0F14FE17
SHA-256D9FE3B53FFBB8212FAD10A340D4C0ECCF495424E8AB176AAECD6616094991E42