Result for 46D05A451A869C61C7CDE461A2A0B3572A85B65C

Query result

Key Value
FileName./usr/lib/haskell-packages/ghc/lib/arm-linux-ghc-8.8.4/hierarchical-clustering-0.4.7-Cygyc1OFL9mHkRf0Kma1fK/Data/Clustering/Hierarchical/Internal/Optimal.hi
FileSize7078
MD55D15AF6A27DB233D390FCE559883C1E3
SHA-146D05A451A869C61C7CDE461A2A0B3572A85B65C
SHA-256C26508EDA2B25F0E75BD818BD37CDDD7B277EA32C7816768E3B2FD8EA06D11CE
SSDEEP192:z6kYZyiiiUPPpp9tbuE+0xN9N0MN9z0Q3N9o0wN9FpYRSSmqLhtT:zqgJiwpp9tbuE+0xNf0MNF0ENu0wNXp8
TLSHT12FE1106FAF4AD42AD5241939CB7743056B20D7D1898E9F4340C5A2A84CA7DE83F81EEC
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
FileSize93980
MD56B63AD4DE4218E94ECB76BD337B1FE35
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-12B79BB636F01F724072831B8D36DB38C9399F8C1
SHA-25640D0A36F5A910B103AB513E06A7C221A7DA6197810EA6E1A21D1A031002D816F
Key Value
FileSize96808
MD578761BE864F98BDCE6DC4BEB250B0D10
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-1C273884939483179DBDEF0760304C9194A85A01E
SHA-25687ED5C665D475F30803335056A5970C305E95720F6EF2F6CADFCCC9DB4269BD3