Result for B4E4F07D079B68F873FED67B552026E3BE1B2293

Query result

Key Value
FileName./usr/lib64/root/libUnuran_rdict.pcm
FileSize4482
MD58CE9BD1796279EBEA84D252AA5B2780F
SHA-1B4E4F07D079B68F873FED67B552026E3BE1B2293
SHA-2568203C46F2E697427AD06C6A9A515A394876C73CDA08E3352BEB41B5EEB54A61F
SSDEEP96:6yChbqMjKuG7Bz/m2GsKwqQK4s5kgLDjPnXCgdjL7C8Aeh55A5ESUHvfN5dUZVl:6yChbqMjMBz/m2Gs5qQVs5kEnPnG8AcI
TLSHT10E913B38469C1856FF412A3EE2B11504C378B33747C17599A4EAD6B1CDCB7EC0E7A848
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD50694DD58B770A4D90D3D2B3234FE26CE
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
PackageRelease1.el7
PackageVersion6.18.02
SHA-1211AE7978174056E278BC67CE460312EF25E55F1
SHA-256E12F3D48C0468CFA8E58733E8A2F6B0B7D30364F0B41978F8895CB137585A714