Result for 7817FD7F3BD4C34DCFBF6CE7C85925D25F82D4F0

Query result

Key Value
FileName./usr/share/gocode/src/github.com/VividCortex/gohistogram/histogram.go
FileSize598
MD5FC1887068E3B6CB1E2D014C105196F00
SHA-17817FD7F3BD4C34DCFBF6CE7C85925D25F82D4F0
SHA-256D51D266D6148DF13E39E6F0EEB3D2D162F8AF32DEDE6BE0EEE73E215407B9C7B
SSDEEP12:GhHb9nuElnAUvFaFKJeNxcf1Gn6XdURmJSxl2OgT7+WBtBC:u7N1fOqeNO1vzJSbHWbBC
TLSHT138F0ACC8AC9F1BF24C9632759E0C84952E2AC0D635BF7B6EF46E202D0102D2CD1395E6
hashlookup:parent-total5
hashlookup:trust75

Network graph view

Parents (Total: 5)

The searched file hash is included in 5 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD52D09B269FCD1B24B3DF2F2ABBDA7F989
PackageArchnoarch
PackageDescriptionThis package provides Streaming Approximate Histograms for efficient quantile approximations. The histograms in this package are based on the algorithms found in Ben-Haim & Yom-Tov's A Streaming Parallel Decision Tree Algorithm. Histogram bins do not have a preset size. As values stream into the histogram, bins are dynamically added and merged. This package contains the source code needed for building packages that reference the following Go import paths: – github.com/VividCortex/gohistogram
PackageMaintainerFedora Project
PackageNamegolang-github-vividcortex-gohistogram-devel
PackageRelease5.fc34
PackageVersion1.0.0
SHA-11B1708AF646548F7077E00CF14EFEDF23FF869B6
SHA-256D577A9B4AD4FF6A4BAC04F82474791EC44B968EA62711A92FB7D79C486BC8AB3
Key Value
MD564A218A71B3229B9D003A08157F21706
PackageArchnoarch
PackageDescriptionThis package provides Streaming Approximate Histograms for efficient quantile approximations. The histograms in this package are based on the algorithms found in Ben-Haim & Yom-Tov's A Streaming Parallel Decision Tree Algorithm. Histogram bins do not have a preset size. As values stream into the histogram, bins are dynamically added and merged. This package contains the source code needed for building packages that reference the following Go import paths: – github.com/VividCortex/gohistogram
PackageMaintainerFedora Project
PackageNamegolang-github-vividcortex-gohistogram-devel
PackageRelease4.fc33
PackageVersion1.0.0
SHA-1A71196EB665BDB253A1C86C0B7FB2D2968F73E4B
SHA-256E2A99C231181D587D335A65AC39EA87366699161B1D0564631C384F69AA2A79E
Key Value
MD53076F3756D01802B5C0C6F6E3F493475
PackageArchnoarch
PackageDescriptionThis package provides Streaming Approximate Histograms for efficient quantile approximations. The histograms in this package are based on the algorithms found in Ben-Haim & Yom-Tov's A Streaming Parallel Decision Tree Algorithm. Histogram bins do not have a preset size. As values stream into the histogram, bins are dynamically added and merged. This package contains the source code needed for building packages that reference the following Go import paths: – github.com/VividCortex/gohistogram
PackageMaintainerpterjan <pterjan>
PackageNamegolang-github-vividcortex-gohistogram-devel
PackageRelease1.mga8
PackageVersion1.0.0
SHA-13576BA2082DE2AA0A037A1B343E3EE5A5B603449
SHA-25662907D06D91D7197C541B7A8362FEFCD19FBF7E35EB2432861F1F2D3648CC237
Key Value
MD56D7D1C649B44131A4BAB9F9A4947C929
PackageArchnoarch
PackageDescriptionThis package provides Streaming Approximate Histograms for efficient quantile approximations. The histograms in this package are based on the algorithms found in Ben-Haim & Yom-Tov's A Streaming Parallel Decision Tree Algorithm. Histogram bins do not have a preset size. As values stream into the histogram, bins are dynamically added and merged. This package contains the source code needed for building packages that reference the following Go import paths: – github.com/VividCortex/gohistogram
PackageMaintainerFedora Project
PackageNamegolang-github-vividcortex-gohistogram-devel
PackageRelease3.fc32
PackageVersion1.0.0
SHA-12719E41B4EBAF4336A1C738EA839AE02720700D9
SHA-256E71B2C9530269005424D3FF187D44466D9A8A9275FFBB8C997181D57D3736A0B
Key Value
MD551C8ADCEE2780A64138E8840F6537CF8
PackageArchnoarch
PackageDescriptionThis package provides Streaming Approximate Histograms for efficient quantile approximations. The histograms in this package are based on the algorithms found in Ben-Haim & Yom-Tov's A Streaming Parallel Decision Tree Algorithm. Histogram bins do not have a preset size. As values stream into the histogram, bins are dynamically added and merged. This package contains the source code needed for building packages that reference the following Go import paths: – github.com/VividCortex/gohistogram
PackageMaintainerumeabot <umeabot>
PackageNamegolang-github-vividcortex-gohistogram-devel
PackageRelease3.mga9
PackageVersion1.0.0
SHA-1845DE01EE83043146A368DCBE870DCA7E73B1ACA
SHA-25666EAC807E1858FC659B33B87E5B13DB83F482A2D68324FF5D7E133B94E85766C