Artifact golang-github-vividcortex-ewma-dev_1.1.1-2_all

Metadata
deb_control_files:
- control
- md5sums
deb_fields:
  Architecture: all
  Description: |-
    Exponentially Weighted Moving Average algorithms for Go
     An exponentially weighted moving average is a way to continuously
     compute a type of average for a series of numbers, as the numbers
     arrive. After a value in the series is added to the average, its
     weight in the average decreases exponentially over time. This biases
     the average towards more recent data. EWMAs are useful for several
     reasons, chiefly their inexpensive computational and memory cost, as
     well as the fact that they represent the recent central tendency of
     the series of values.
  Homepage: https://github.com/vividcortex/ewma
  Installed-Size: '22'
  Maintainer: Debian Go Packaging Team <pkg-go-maintainers@lists.alioth.debian.org>
  Multi-Arch: foreign
  Package: golang-github-vividcortex-ewma-dev
  Priority: optional
  Section: devel
  Source: golang-github-vividcortex-ewma
  Version: 1.1.1-2
srcpkg_name: golang-github-vividcortex-ewma
srcpkg_version: 1.1.1-2

File

golang-github-vividcortex-ewma-dev_1.1.1-2_all.deb
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Relations

Relation Direction Type Name
built-using Source package golang-github-vividcortex-ewma_1.1.1-2
built-using Binary package dpkg-dbgsym_1.22.12~1.gbp82cafd_arm64
built-using Binary package dpkg_1.22.12~1.gbp82cafd_arm64
built-using Binary package dselect-dbgsym_1.22.12~1.gbp82cafd_arm64
built-using Binary package dselect_1.22.12~1.gbp82cafd_arm64
built-using Binary package libdpkg-dev_1.22.12~1.gbp82cafd_arm64
built-using Binary package dpkg-dev_1.22.12~1.gbp82cafd_all
built-using Binary package libdpkg-perl_1.22.12~1.gbp82cafd_all
extends Package upload golang-github-vividcortex-ewma_1.1.1-2

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