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# ==================================================================== #
# TITLE #
# Antimicrobial Resistance (AMR) Analysis #
# #
# SOURCE #
# https://github.com/msberends/AMR #
# #
# LICENCE #
# (c) 2018-2020 Berends MS, Luz CF et al. #
# #
# This R package is free software; you can freely use and distribute #
# it for both personal and commercial purposes under the terms of the #
# GNU General Public License version 2.0 (GNU GPL-2), as published by #
# the Free Software Foundation. #
# #
# We created this package for both routine data analysis and academic #
# research and it was publicly released in the hope that it will be #
# useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. #
# Visit our website for more info: https://msberends.github.io/AMR. #
# ==================================================================== #
on:
push:
branches:
- premaster
- master
pull_request:
branches:
- master
name: lint
jobs:
lint:
runs-on: macOS-latest
env:
GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}
steps:
- uses: actions/checkout@v2
- uses: r-lib/actions/setup-r@master
- name: Query dependencies
run: |
install.packages('remotes')
saveRDS(remotes::dev_package_deps(dependencies = TRUE), ".github/depends.Rds", version = 2)
writeLines(sprintf("R-%i.%i", getRversion()$major, getRversion()$minor), ".github/R-version")
shell: Rscript {0}
- name: Cache R packages
uses: actions/cache@v1
with:
path: ${{ env.R_LIBS_USER }}
key: ${{ runner.os }}-${{ hashFiles('.github/R-version') }}-1-${{ hashFiles('.github/depends.Rds') }}
restore-keys: ${{ runner.os }}-${{ hashFiles('.github/R-version') }}-1-
- name: Install dependencies
run: |
install.packages(c("remotes"))
remotes::install_deps(dependencies = TRUE)
remotes::install_cran("lintr")
shell: Rscript {0}
- name: Lint
run: lint_package(linters = with_defaults(line_length_linter = NULL, trailing_whitespace_linter = NULL, object_name_linter = NULL, cyclocomp_linter = NULL, object_usage_linter = NULL, object_length_linter = object_length_linter(length = 50L)), exclusions = list("R/aa_helper_functions_dplyr.R"))
shell: Rscript {0}