Result for B903D11428343DF1C6E9310C144991DA29FBD7A3

Query result

Key Value
FileName./usr/share/gocode/src/github.com/codahale/hdrhistogram/.goipath
FileSize111
MD587CE6275E140BC8C505A2DE9094980F4
SHA-1B903D11428343DF1C6E9310C144991DA29FBD7A3
SHA-256F0893461C118434FE58E2729732EF5968E00F0A2F054151AF37FA6C6478B1FC7
SSDEEP3:Wm+PwEVSSJTN3SxSTU3BtRQqUPQBy4zAGIV4n:WmuwE/JTNixxB1By4zJIV4n
TLSHT1D5B0223382CFC02A000BBA030C022A0C8EA223E2C08000200FE8A308C2F028A23280C3
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
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