Result for 4DCC8A35CA39D4037C41C0D7C6563134824067CA

Query result

Key Value
FileName./usr/lib/haskell-packages/ghc/lib/s390x-linux-ghc-8.8.4/hierarchical-clustering-0.4.7-Cygyc1OFL9mHkRf0Kma1fK/Data/Clustering/Hierarchical/Internal/Types.dyn_hi
FileSize36929
MD59555DC5487BC0672FBDC8793BFB63005
SHA-14DCC8A35CA39D4037C41C0D7C6563134824067CA
SHA-256FDD4F7A0B8602418743D4127FFB8E98810E7FB34C33D08E26160F8C7BDDAD059
SSDEEP768:+DdrkrtPr2r9+rrHolXrg9rg6rg75rxrdrkr8r7rzqr7rwrPrA8r9XrXQrgrWrlC:cWfIlrByOb28JqrwJWz2bMtdoS94jts+
TLSHT1ADF29D2BEF49D012DA783A74997B03096B24CC859546AF43E029E1BDBD73AD43F41ED8
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
FileSize113404
MD5C4550445BAA9E84CF0EC0E0488FF1CB7
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-165694881A169E21426C6ED017495EF7D3E5D7683
SHA-25633BB53BF8BF82424A6D65A382881732DA87686692FC01AE8BC955B9F3E0D8DE1
Key Value
FileSize125360
MD5ECA8975FF4124EBEEBD0484DD1EE547B
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+b2
SHA-1C2CF54737CB0A81AFEB2EF06A699A560555BC724
SHA-256570CC705580DA2C523B0EE9FFA05181A4D9D035BA7794DF0F20753B428ADF12F