Result for 4A5AAA0C866AD00F04C4E8084E1914601B0C7B94

Query result

Key Value
FileName./usr/lib/haskell-packages/ghc/lib/i386-linux-ghc-8.8.4/libHShierarchical-clustering-0.4.7-Cygyc1OFL9mHkRf0Kma1fK-ghc8.8.4.so
FileSize191488
MD513E66CE0ADFAA2BE76706FEAEB296357
SHA-14A5AAA0C866AD00F04C4E8084E1914601B0C7B94
SHA-256EC799C646DE3F007601947C70F572D8EDCCC69015B3448944C926458956DF8A6
SSDEEP3072:H5VANgDeCGrbxuTB75gMmJOQtlV9VPNH:ZV/2MmJOQtpRt
TLSHT135146211ADB3D194EEB8B4B10DB487BC9619430F43B335DEF74B9BB098629F8A185D81
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