Result for 23D68DE7AA2FAEDCBE131E4FF5B1FDD25AF585DD

Query result

Key Value
FileName./usr/share/licenses/golang-github-hdrhistogram-devel/LICENSE
FileSize1076
MD58F7951AF356BBBFCF3D07D3B26219E45
SHA-123D68DE7AA2FAEDCBE131E4FF5B1FDD25AF585DD
SHA-256B75BCEF6FF363D18B3D30DBDC997CEA48F5681DF11FA0CA032A443CE555BC6AF
SSDEEP24:b8rmJHHH0yN3gtsHw1hj9QHOsUv4eOk4/+/m3oqLF5n:b8aJHlxE35QHOs5exm3ogF5n
TLSHT16111B51EB3510776289B13705679ACD9F12BB25F7AAF2A84146EF340233A06CD1FB840
hashlookup:parent-total5
hashlookup:trust75

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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
MD531C6E0EE17562E181028E685C3A1A63E
PackageArchnoarch
PackageDescriptionA pure Go implementation of Gil Tene's HDR Histogram. A Histogram that supports recording and analyzing sampled data value counts across a configurable integer value range with configurable value precision within the range. Value precision is expressed as the number of significant digits in the value recording, and provides control over value quantization behavior across the value range and the subsequent value resolution at any given level. This package contains the source code needed for building packages that reference the following Go import paths: – github.com/HdrHistogram/hdrhistogram-go
PackageMaintainerumeabot <umeabot>
PackageNamegolang-github-hdrhistogram-devel
PackageRelease3.mga9
PackageVersion1.0.1
SHA-1D036556A83FEFAC1D23B094DA03DC859DD40A777
SHA-25611E1F82D6EDE529373F174CDE49D92D7BD60073BA1F3CC3342A3A90268C8E51D
Key Value
MD5B091C6BA0F65A3162950AE177262A7D3
PackageArchnoarch
PackageDescriptionA pure Go implementation of Gil Tene's HDR Histogram. A Histogram that supports recording and analyzing sampled data value counts across a configurable integer value range with configurable value precision within the range. Value precision is expressed as the number of significant digits in the value recording, and provides control over value quantization behavior across the value range and the subsequent value resolution at any given level. This package contains the source code needed for building packages that reference the following Go import paths: – github.com/HdrHistogram/hdrhistogram-go
PackageMaintainerpterjan <pterjan>
PackageNamegolang-github-hdrhistogram-devel
PackageRelease1.mga8
PackageVersion1.0.1
SHA-1211A38DAF4AEC52DFCACEBDB58AB1636EC9BE2F3
SHA-256411F31F84064F7430D36D46A2074FC7E8F83B8797964666414ACD348ADC78E3D
Key Value
MD5C3F8BC4D10A3E698589A85299C1F924C
PackageArchnoarch
PackageDescriptionPackage Hdrhistogram provides an implementation of Gil Tene's HDR Histogram data structure. The HDR Histogram allows for fast and accurate analysis of the extreme ranges of data with non-normal distributions, like latency. This package contains the source code needed for building packages that reference the following Go import paths: – github.com/codahale/hdrhistogram
PackageMaintainerFedora Project
PackageNamegolang-github-codahale-hdrhistogram-devel
PackageRelease0.5.20190318git3a0bb77.fc33
PackageVersion0
SHA-1C2143F7D522305658D5F82EB570DAD283B433CC1
SHA-2564D3C58F9228CF828B44013656358AC78F950911C7BA8F859BA37815BC691ED8C
Key Value
MD5568FE846FB96CDC09A61797B8DEF2530
PackageArchnoarch
PackageDescriptionPackage Hdrhistogram provides an implementation of Gil Tene's HDR Histogram data structure. The HDR Histogram allows for fast and accurate analysis of the extreme ranges of data with non-normal distributions, like latency. This package contains the source code needed for building packages that reference the following Go import paths: – github.com/codahale/hdrhistogram
PackageMaintainerFedora Project
PackageNamegolang-github-codahale-hdrhistogram-devel
PackageRelease0.4.20190318git3a0bb77.fc32
PackageVersion0
SHA-12BC3DF4062B8948C4F0FDEF1C0D017F7D72BA2F3
SHA-2562C48CE719FBF78E38E39384733B8CC2718800EF31ACAC0C6F73FF48D2D9F279C
Key Value
MD5419AF551C32E32EF2A002D5C85BA290E
PackageArchnoarch
PackageDescriptionA pure Go implementation of Gil Tene's HDR Histogram. A Histogram that supports recording and analyzing sampled data value counts across a configurable integer value range with configurable value precision within the range. Value precision is expressed as the number of significant digits in the value recording, and provides control over value quantization behavior across the value range and the subsequent value resolution at any given level. This package contains the source code needed for building packages that reference the following Go import paths: – github.com/HdrHistogram/hdrhistogram-go
PackageMaintainerFedora Project
PackageNamegolang-github-hdrhistogram-devel
PackageRelease2.fc34
PackageVersion1.0.1
SHA-19EC6B1A8BADBCD1CC4A1C224FD2940F9694AE2A8
SHA-256DC8D356BBCCCAD9A896E787EC37EAF698B8387DE8C0D200C079BA14B2E038EB2