Result for 39219E7112DFEDCE40E5A45C323C664519D39F1B

Query result

Key Value
FileName./usr/lib/haskell-packages/ghc/lib/mips-linux-ghc-8.4.4/hierarchical-clustering-0.4.6-7tQor1K9sA55dvOXBCHmnG/Data/Clustering/Hierarchical/Internal/Types.hi
FileSize35952
MD5794C14FAB8E045ED5368A922CC1876FC
SHA-139219E7112DFEDCE40E5A45C323C664519D39F1B
SHA-256E96F2C5EE9ADF409681931B0FAFDDD8434A8BA47C17BEB67A08CACDEC119DFE4
SSDEEP768:e4hACNwezJ23D9bAFcI3wkZ1t8iK9IZV6bVdW04gUvmRW0kgll2lG8khfx4u1fSH:9J5jcCZ7pq5g
TLSHT1B1F2AE51DF4AC513E5382B3198BA03056B24DD85AA86AF93A01DF5BCBD336C43FA5D8C
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize107480
MD59B34E127A0473712BF42066C2D30A6EF
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
PackageVersion0.4.6-5+b2
SHA-1888251AB4CF1A25F75BD4C7B6559BFFCC00A7BD7
SHA-2569F612F6E84D4CC7DB6CC917193FE4A73C8756D61AAEB3BD94292F4D2034CF857
Key Value
FileSize105824
MD57FF7C630FC5B6505C8C2282BF2624718
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
PackageVersion0.4.6-5+b2
SHA-15452CCE012B012CA807B521CD3F3DE1065D42074
SHA-25603AB3EE0583CAB9E99A350E59548F6B4979A8826C76ED59512985AF5990EBE2F