Result for 48D7709562A98A8A6990AC9E150171426ACE6A68

Query result

Key Value
FileName./usr/lib/haskell-packages/ghc/lib/i386-linux-ghc-8.8.4/hierarchical-clustering-0.4.7-Cygyc1OFL9mHkRf0Kma1fK/Data/Clustering/Hierarchical/Internal/Types.hi
FileSize36909
MD562C48537EFA1E7E29B73BECF69E337FB
SHA-148D7709562A98A8A6990AC9E150171426ACE6A68
SHA-2561792F541D236F64FFB49428266FCEF9EA64C09A1498DDFD37B972E390B0ABB54
SSDEEP768:ASror6rir9frjVurg9rg6rgGr9rRrIr4rPrzmrrr4rLrSrWrzrMrxrYJrnrNrwXy:M79n/FscF
TLSHT18FF28A27EF4AD052D6783A709A7A03096B24CCC1564AAF43E058E2BCBD775C43F85ED8
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
FileSize92988
MD554EF5E814FB4E2749258EB9983A4846C
PackageDescriptionfast algorithms for single, average/UPGMA and complete linkage clustering This package provides a function to create a dendrogram from a list of items and a distance function between them. Initially a singleton cluster is created for each item, and then new, bigger clusters are created by merging the two clusters with least distance between them. The distance between two clusters is calculated according to the linkage type. The dendrogram represents not only the clusters but also the order on which they were created. . This package has many implementations with different performance characteristics. There are SLINK and CLINK algorithm implementations that are optimal in both space and time. There are also naive implementations using a distance matrix. Using the dendrogram function from Data.Clustering.Hierarchical automatically chooses the best implementation we have. . This package provides a library for the Haskell programming language. See http://www.haskell.org/ for more information on Haskell.
PackageMaintainerDebian Haskell Group <pkg-haskell-maintainers@lists.alioth.debian.org>
PackageNamelibghc-hierarchical-clustering-dev
PackageSectionhaskell
PackageVersion0.4.7-1+b1
SHA-19498C20DBF3276142AD8F3D546C4064E7726FC4E
SHA-2566F2E5DC3E8B9DF717FAC24C311CC525B9332B2D58CEE0F86A303B3CAFF591EFA