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f424c39474
...
11b1dc2b02
5
.github/prehooks/pre-commit
vendored
5
.github/prehooks/pre-commit
vendored
@ -49,6 +49,7 @@ if command -v Rscript > /dev/null; then
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if [ "$(Rscript -e 'cat(all(c('"'pkgload'"', '"'devtools'"', '"'dplyr'"') %in% rownames(installed.packages())))')" = "TRUE" ]; then
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if [ "$(Rscript -e 'cat(all(c('"'pkgload'"', '"'devtools'"', '"'dplyr'"') %in% rownames(installed.packages())))')" = "TRUE" ]; then
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Rscript -e "source('data-raw/_pre_commit_checks.R')"
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Rscript -e "source('data-raw/_pre_commit_checks.R')"
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currentpkg=$(Rscript -e "cat(pkgload::pkg_name())")
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currentpkg=$(Rscript -e "cat(pkgload::pkg_name())")
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bash data-raw/AMRforRGPT.sh
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echo "- Adding changed files in ./data-raw and ./man to this commit"
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echo "- Adding changed files in ./data-raw and ./man to this commit"
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git add data-raw/*
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git add data-raw/*
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git add man/*
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git add man/*
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@ -111,8 +112,4 @@ echo ""
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# Save the version number for use in the commit-msg hook
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# Save the version number for use in the commit-msg hook
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echo "${currentversion}" > .git/commit_version.tmp
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echo "${currentversion}" > .git/commit_version.tmp
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# Generate GPT knowledge info for our Assistant (https://chatgpt.com/g/g-M4UNLwFi5-amr-for-r-assistant)
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bash data-raw/_generate_GPT_knowledge_input.sh "${currentversion}"
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git add data-raw/*
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exit 0
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exit 0
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6
.github/workflows/publish-to-pypi.yml
vendored
6
.github/workflows/publish-to-pypi.yml
vendored
@ -59,9 +59,9 @@ jobs:
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bash _generate_python_wrapper.sh
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bash _generate_python_wrapper.sh
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- name: Publish to PyPI
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- name: Publish to PyPI
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env:
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# env:
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TWINE_USERNAME: "__token__"
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# TWINE_USERNAME: "__token__"
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TWINE_PASSWORD: ${{ secrets.PYPI_API_TOKEN }}
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# TWINE_PASSWORD: ${{ secrets.PYPI_API_TOKEN }}
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run: |
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run: |
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cd data-raw/python_wrapper/AMR
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cd data-raw/python_wrapper/AMR
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python -m twine upload dist/*
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python -m twine upload dist/*
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@ -1,6 +1,6 @@
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Package: AMR
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Package: AMR
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Version: 2.1.1.9103
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Version: 2.1.1.9100
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Date: 2024-10-18
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Date: 2024-10-17
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Title: Antimicrobial Resistance Data Analysis
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Title: Antimicrobial Resistance Data Analysis
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Description: Functions to simplify and standardise antimicrobial resistance (AMR)
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Description: Functions to simplify and standardise antimicrobial resistance (AMR)
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data analysis and to work with microbial and antimicrobial properties by
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data analysis and to work with microbial and antimicrobial properties by
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2
NEWS.md
2
NEWS.md
@ -1,4 +1,4 @@
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# AMR 2.1.1.9103
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# AMR 2.1.1.9100
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*(this beta version will eventually become v3.0. We're happy to reach a new major milestone soon, which will be all about the new One Health support! Install this beta using [the instructions here](https://msberends.github.io/AMR/#latest-development-version).)*
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*(this beta version will eventually become v3.0. We're happy to reach a new major milestone soon, which will be all about the new One Health support! Install this beta using [the instructions here](https://msberends.github.io/AMR/#latest-development-version).)*
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12
R/sir.R
12
R/sir.R
@ -1739,12 +1739,12 @@ summary.sir <- function(object, ...) {
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c.sir <- function(...) {
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c.sir <- function(...) {
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lst <- list(...)
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lst <- list(...)
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guideline <- vapply(FUN.VALUE = character(1), lst, function(x) attributes(x)$guideline %or% NA_character_)
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guideline <- vapply(FUN.VALUE = character(1), lst, function(x) attributes(x)$guideline %||% NA_character_)
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mo <- vapply(FUN.VALUE = character(1), lst, function(x) attributes(x)$mo %or% NA_character_)
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mo <- vapply(FUN.VALUE = character(1), lst, function(x) attributes(x)$mo %||% NA_character_)
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ab <- vapply(FUN.VALUE = character(1), lst, function(x) attributes(x)$ab %or% NA_character_)
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ab <- vapply(FUN.VALUE = character(1), lst, function(x) attributes(x)$ab %||% NA_character_)
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method <- vapply(FUN.VALUE = character(1), lst, function(x) attributes(x)$method %or% NA_character_)
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method <- vapply(FUN.VALUE = character(1), lst, function(x) attributes(x)$method %||% NA_character_)
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ref_tbl <- vapply(FUN.VALUE = character(1), lst, function(x) attributes(x)$ref_tbl %or% NA_character_)
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ref_tbl <- vapply(FUN.VALUE = character(1), lst, function(x) attributes(x)$ref_tbl %||% NA_character_)
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ref_breakpoints <- vapply(FUN.VALUE = character(1), lst, function(x) attributes(x)$ref_breakpoints %or% NA_character_)
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ref_breakpoints <- vapply(FUN.VALUE = character(1), lst, function(x) attributes(x)$ref_breakpoints %||% NA_character_)
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out <- as.sir(unlist(lapply(list(...), as.character)))
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out <- as.sir(unlist(lapply(list(...), as.character)))
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@ -7,11 +7,10 @@ if [ "$(basename "$PWD")" != "AMR" ]; then
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fi
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fi
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# Define the output file, located in ./data-raw
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# Define the output file, located in ./data-raw
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version="$1"
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output_file="data-raw/gpt_training_text.txt"
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output_file="data-raw/gpt_training_text_v${version}.txt"
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# Clear the output file if it exists
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# Clear the output file if it exists
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echo "This files contains all context you must know about the AMR package for R." > "$output_file"
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echo "This files contains all context you must know about the AMR package for R."> "$output_file"
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echo -e "\n\n\n\n" >> "$output_file"
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echo -e "\n\n\n\n" >> "$output_file"
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# Function to remove header block (delimited by # ======)
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# Function to remove header block (delimited by # ======)
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@ -21,7 +20,7 @@ remove_header() {
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# Process all .R files in the 'R' folder
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# Process all .R files in the 'R' folder
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for file in R/*.R; do
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for file in R/*.R; do
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echo "THE PART HEREAFTER CONTAINS CONTENTS FROM FILE $file" >> "$output_file"
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echo "THE NEXT PART CONTAINS CONTENTS FROM FILE $file" >> "$output_file"
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echo -e "\n\n" >> "$output_file"
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echo -e "\n\n" >> "$output_file"
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remove_header "$file" >> "$output_file"
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remove_header "$file" >> "$output_file"
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echo -e "\n\n" >> "$output_file"
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echo -e "\n\n" >> "$output_file"
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@ -29,7 +28,7 @@ done
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# Process all .Rmd files in the 'vignettes' folder
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# Process all .Rmd files in the 'vignettes' folder
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for file in vignettes/*.Rmd; do
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for file in vignettes/*.Rmd; do
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echo "THE PART HEREAFTER CONTAINS CONTENTS FROM FILE $file" >> "$output_file"
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echo "THE NEXT PART CONTAINS CONTENTS FROM FILE $file" >> "$output_file"
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echo -e "\n\n" >> "$output_file"
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echo -e "\n\n" >> "$output_file"
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remove_header "$file" >> "$output_file"
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remove_header "$file" >> "$output_file"
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echo -e "\n\n" >> "$output_file"
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echo -e "\n\n" >> "$output_file"
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@ -38,7 +37,7 @@ done
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# Process important metadata files (DESCRIPTION, NAMESPACE, index.md)
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# Process important metadata files (DESCRIPTION, NAMESPACE, index.md)
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for file in DESCRIPTION NAMESPACE index.md; do
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for file in DESCRIPTION NAMESPACE index.md; do
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if [[ -f $file ]]; then
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if [[ -f $file ]]; then
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echo "THE PART HEREAFTER CONTAINS CONTENTS FROM FILE $file" >> "$output_file"
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echo "THE NEXT PART CONTAINS CONTENTS FROM FILE $file" >> "$output_file"
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echo -e "\n\n" >> "$output_file"
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echo -e "\n\n" >> "$output_file"
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cat "$file" >> "$output_file"
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cat "$file" >> "$output_file"
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echo -e "\n\n" >> "$output_file"
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echo -e "\n\n" >> "$output_file"
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@ -47,7 +46,7 @@ done
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# Process test files (if available) in the 'tests' folder
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# Process test files (if available) in the 'tests' folder
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for file in tests/*.R; do
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for file in tests/*.R; do
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echo "THE PART HEREAFTER CONTAINS CONTENTS FROM FILE $file" >> "$output_file"
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echo "THE NEXT PART CONTAINS CONTENTS FROM FILE $file" >> "$output_file"
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echo -e "\n\n" >> "$output_file"
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echo -e "\n\n" >> "$output_file"
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remove_header "$file" >> "$output_file"
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remove_header "$file" >> "$output_file"
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echo -e "\n\n" >> "$output_file"
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echo -e "\n\n" >> "$output_file"
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@ -55,7 +54,7 @@ done
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# Process all .Rd files from the 'man' folder
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# Process all .Rd files from the 'man' folder
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for file in man/*.Rd; do
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for file in man/*.Rd; do
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echo "THE PART HEREAFTER CONTAINS CONTENTS FROM FILE $file" >> "$output_file"
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echo "THE NEXT PART CONTAINS CONTENTS FROM FILE $file" >> "$output_file"
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echo -e "\n\n" >> "$output_file"
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echo -e "\n\n" >> "$output_file"
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remove_header "$file" >> "$output_file"
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remove_header "$file" >> "$output_file"
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echo -e "\n\n" >> "$output_file"
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echo -e "\n\n" >> "$output_file"
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