Result for F75CF543EFB7DBD7D661C14874EBF46ACB67576A

Query result

Key Value
FileName./usr/lib64/root/libUnuran.so
FileSize17
MD5FC9A43462A1D2F2DC95F6C2603DDDA44
SHA-1F75CF543EFB7DBD7D661C14874EBF46ACB67576A
SHA-25678FCC97AFACA4A88A47D5CC6DC565D5707DC29F930FF3C91CF7364DD3BD6A28F
SSDEEP3:EwLC+LTLD:EweqLD
TLSH
hashlookup:parent-total8
hashlookup:trust90

Network graph view

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
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
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
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
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
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