Result for B4DB43FC28C96D36F225CDF7D8C450B537518B5B

Query result

Key Value
FileName./usr/lib/haskell-packages/ghc/lib/mips-linux-ghc-8.4.4/libHShierarchical-clustering-0.4.6-7tQor1K9sA55dvOXBCHmnG-ghc8.4.4.so
FileSize333796
MD50789E5900002C061F76D035E7035178F
SHA-1B4DB43FC28C96D36F225CDF7D8C450B537518B5B
SHA-2568DAE4F5DB31FB1CEED5EC3DD584904552FC0954A53ADF50477486CFC9D0A0956
SSDEEP3072:1K6eT5fWLJ8dZ57x49E95OKgukmGkOYDEVU5D:ck9EXOTupOYgy
TLSHT1556494733D91DD99E55CE2708F72C7F83CC383012A9A7E98F447DA4C9A2B5E96214AC1
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
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