Result for 4497B1AEFFCB0929BAFC65D5282B93D864223186

Query result

Key Value
FileName./usr/share/gocode/src/github.com/HdrHistogram/hdrhistogram-go/log_writer_test.go
FileSize2502
MD57D8DCF70906BE210DF8A241FFBCB7ECC
SHA-14497B1AEFFCB0929BAFC65D5282B93D864223186
SHA-256226F96CD162C16A660A0453DA0D819F3B86B66E5CFCC0C9590299FF2E3DF858E
SSDEEP48:NFAWS7Ro0YRUU7UZnmhd63QdWS4Qo0YRUU7UZ7hiY9OSr16PEREZZJ1PHvyJ1u1:NOvFo00bgpYdxdvro00bgV9Jgiao2
TLSHT14151BB28868ACB64168128A8E444C64D34E8CFE3747E7A0D613CD19FF106DAF43396B9
hashlookup:parent-total3
hashlookup:trust65

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Parents (Total: 3)

The searched file hash is included in 3 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
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