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mirror of https://github.com/msberends/AMR.git synced 2025-02-22 18:30:07 +01:00

(v2.1.1.9136) console colours, updated Suggests, added as.ab() improvement

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dr. M.S. (Matthijs) Berends 2025-01-31 16:01:52 +01:00
parent 700522b466
commit 22afd918e6
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13 changed files with 114 additions and 101 deletions

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@ -1,6 +1,6 @@
Package: AMR
Version: 2.1.1.9135
Date: 2025-01-28
Version: 2.1.1.9136
Date: 2025-01-31
Title: Antimicrobial Resistance Data Analysis
Description: Functions to simplify and standardise antimicrobial resistance (AMR)
data analysis and to work with microbial and antimicrobial properties by
@ -36,14 +36,18 @@ Depends: R (>= 3.0.0)
Suggests:
cleaner,
cli,
crayon,
curl,
data.table,
dplyr,
ggplot2,
knitr,
openxlsx,
pillar,
progress,
readxl,
rmarkdown,
rstudioapi,
rvest,
skimr,
testthat,

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@ -1,4 +1,4 @@
# AMR 2.1.1.9135
# AMR 2.1.1.9136
*(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).)*
@ -85,6 +85,7 @@ This package now supports not only tools for AMR data analysis in clinical setti
* MDRO determination (using `mdro()`)
* Implemented the new Dutch national MDRO guideline (SRI-richtlijn BRMO, Nov 2024)
* Added arguments `esbl`, `carbapenemase`, `mecA`, `mecC`, `vanA`, `vanB` to denote column names or logical values indicating presence of these genes (or production of their proteins)
* Added console colours support of `sir` class for Positron
## Other
* Added Dr. Larisse Bolton as contributor for her fantastic implementation of WISCA in a mathematically solid way

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@ -1,6 +1,6 @@
Metadata-Version: 2.2
Name: AMR
Version: 2.1.1.9135
Version: 2.1.1.9136
Summary: A Python wrapper for the AMR R package
Home-page: https://github.com/msberends/AMR
Author: Matthijs Berends

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@ -2,7 +2,7 @@ from setuptools import setup, find_packages
setup(
name='AMR',
version='2.1.1.9135',
version='2.1.1.9136',
packages=find_packages(),
install_requires=[
'rpy2',

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@ -1169,57 +1169,12 @@ message_not_thrown_before <- function(fn, ..., entire_session = FALSE) {
}
has_colour <- function() {
# this is a base R version of crayon::has_color, but disables colours on emacs
if (Sys.getenv("EMACS") != "" || Sys.getenv("INSIDE_EMACS") != "") {
# disable on emacs, which only supports 8 colours
return(FALSE)
}
enabled <- getOption("crayon.enabled")
if (!is.null(enabled)) {
return(isTRUE(enabled))
}
rstudio_with_ansi_support <- function(x) {
if (Sys.getenv("RSTUDIO", "") == "") {
return(FALSE)
}
if ((cols <- Sys.getenv("RSTUDIO_CONSOLE_COLOR", "")) != "" && !is.na(as.double(cols))) {
return(TRUE)
}
tryCatch(getExportedValue("isAvailable", ns = asNamespace("rstudioapi"))(), error = function(e) {
return(FALSE)
}) &&
tryCatch(getExportedValue("hasFun", ns = asNamespace("rstudioapi"))("getConsoleHasColor"), error = function(e) {
return(FALSE)
})
}
if (rstudio_with_ansi_support() && sink.number() == 0) {
return(TRUE)
}
if (!isatty(stdout())) {
return(FALSE)
}
if (tolower(Sys.info()["sysname"]) == "windows") {
if (Sys.getenv("ConEmuANSI") == "ON") {
return(TRUE)
}
if (Sys.getenv("CMDER_ROOT") != "") {
return(TRUE)
}
return(FALSE)
}
if ("COLORTERM" %in% names(Sys.getenv())) {
return(TRUE)
}
if (Sys.getenv("TERM") == "dumb") {
return(FALSE)
}
grepl(
pattern = "^screen|^xterm|^vt100|color|ansi|cygwin|linux",
x = Sys.getenv("TERM"),
ignore.case = TRUE,
perl = TRUE
)
has_color <- import_fn("has_color", "crayon")
!is.null(has_color) && isTRUE(has_color())
}
# set colours if console has_colour()

38
R/ab.R
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@ -324,7 +324,7 @@ as.ab <- function(x, flag_multiple_results = TRUE, info = interactive(), ...) {
# INITIAL SEARCH - More uncertain results ----
if (loop_time <= 2 && fast_mode == FALSE) {
# only run on first and second try
# try by removing all spaces
if (x[i] %like% " ") {
found <- suppressWarnings(as.ab(gsub(" +", "", x[i], perl = TRUE), loop_time = loop_time + 2))
@ -333,7 +333,7 @@ as.ab <- function(x, flag_multiple_results = TRUE, info = interactive(), ...) {
next
}
}
# try by removing all spaces and numbers
if (x[i] %like% " " || x[i] %like% "[0-9]") {
found <- suppressWarnings(as.ab(gsub("[ 0-9]", "", x[i], perl = TRUE), loop_time = loop_time + 2))
@ -342,6 +342,40 @@ as.ab <- function(x, flag_multiple_results = TRUE, info = interactive(), ...) {
next
}
}
# reverse a combination, e.g. clavulanic acid/amoxicillin
if (x[i] %like% " ") {
split <- strsplit(x[i], " ")[[1]]
permute <- function(x) {
if (length(x) == 1) return(list(x))
result <- vector("list", factorial(length(x)))
index <- 1
for (i in seq_along(x)) {
sub_perms <- permute(x[-i]) # Recursively get permutations of remaining elements
for (sub in sub_perms) {
result[[index]] <- c(x[i], sub)
index <- index + 1
}
}
return(result)
}
permutations <- permute(split)
found_perms <- character(length(permutations))
for (s in seq_len(length(permutations))) {
concat <- paste0(permutations[[s]], collapse = " ")
if (concat %in% AMR_env$AB_lookup$generalised_name) {
found_perms[s] <- AMR_env$AB_lookup[which(AMR_env$AB_lookup$generalised_name == concat), "ab", drop = TRUE]
} else {
found_perms[s] <- suppressWarnings(as.ab(concat, loop_time = loop_time + 2))
}
}
found_perms <- found_perms[!is.na(found_perms)]
if (length(found_perms) > 0) {
found <- found_perms[order(nchar(found_perms), decreasing = TRUE)][1]
x_new[i] <- note_if_more_than_one_found(found, i, from_text)
next
}
}
# transform back from other languages and try again
x_translated <- paste(

6
R/mo.R
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@ -340,17 +340,17 @@ as.mo <- function(x,
filtr <- which(MO_lookup_current$full_first %like_case% first_chars)
} else if (nchar(x_out) == 3) {
# no space and 3 characters - probably a code such as SAU or ECO
msg <<- c(msg, paste0("Input \"", x_search, "\" was assumed to be a microorganism code - tried to match on \"", totitle(substr(x_out, 1, 1)), AMR_env$dots, " ", substr(x_out, 2, 3), AMR_env$dots, "\""))
msg <<- c(msg, paste0("Input \"", x_search, "\" was assumed to be a microorganism code - tried to match on \"", totitle(substr(x_out, 1, 1)), AMR_env$ellipsis_icon, " ", substr(x_out, 2, 3), AMR_env$ellipsis_icon, "\""))
filtr <- which(MO_lookup_current$fullname_lower %like_case% paste0("(^| )", substr(x_out, 1, 1), ".* ", substr(x_out, 2, 3)))
} else if (nchar(x_out) == 4) {
# no space and 4 characters - probably a code such as STAU or ESCO
msg <<- c(msg, paste0("Input \"", x_search, "\" was assumed to be a microorganism code - tried to match on \"", totitle(substr(x_out, 1, 2)), AMR_env$dots, " ", substr(x_out, 3, 4), AMR_env$dots, "\""))
msg <<- c(msg, paste0("Input \"", x_search, "\" was assumed to be a microorganism code - tried to match on \"", totitle(substr(x_out, 1, 2)), AMR_env$ellipsis_icon, " ", substr(x_out, 3, 4), AMR_env$ellipsis_icon, "\""))
filtr <- which(MO_lookup_current$fullname_lower %like_case% paste0("(^| )", substr(x_out, 1, 2), ".* ", substr(x_out, 3, 4)))
} else if (nchar(x_out) <= 6) {
# no space and 5-6 characters - probably a code such as STAAUR or ESCCOL
first_part <- paste0(substr(x_out, 1, 2), "[a-z]*", substr(x_out, 3, 3))
second_part <- substr(x_out, 4, nchar(x_out))
msg <<- c(msg, paste0("Input \"", x_search, "\" was assumed to be a microorganism code - tried to match on \"", gsub("[a-z]*", AMR_env$dots, totitle(first_part), fixed = TRUE), " ", second_part, AMR_env$dots, "\""))
msg <<- c(msg, paste0("Input \"", x_search, "\" was assumed to be a microorganism code - tried to match on \"", gsub("[a-z]*", AMR_env$ellipsis_icon, totitle(first_part), fixed = TRUE), " ", second_part, AMR_env$ellipsis_icon, "\""))
filtr <- which(MO_lookup_current$fullname_lower %like_case% paste0("(^| )", first_part, ".* ", second_part))
} else {
# for genus or species or subspecies

12
R/zzz.R
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@ -82,15 +82,15 @@ AMR_env$chmatch <- import_fn("chmatch", "data.table", error_on_fail = FALSE)
AMR_env$chin <- import_fn("%chin%", "data.table", error_on_fail = FALSE)
# take cli symbols and error function if available
AMR_env$info_icon <- import_fn("symbol", "cli", error_on_fail = FALSE)$info %or% "i"
AMR_env$bullet_icon <- import_fn("symbol", "cli", error_on_fail = FALSE)$bullet %or% "*"
AMR_env$bullet_icon <- import_fn("symbol", "cli", error_on_fail = FALSE)$bullet %or% "*"
AMR_env$ellipsis_icon <- import_fn("symbol", "cli", error_on_fail = FALSE)$ellipsis %or% "..."
AMR_env$info_icon <- import_fn("symbol", "cli", error_on_fail = FALSE)$info %or% "i"
AMR_env$sup_1_icon <- import_fn("symbol", "cli", error_on_fail = FALSE)$sup_1 %or% "*"
AMR_env$cli_abort <- import_fn("cli_abort", "cli", error_on_fail = FALSE)
AMR_env$cross_icon <- if (isTRUE(base::l10n_info()$`UTF-8`)) "\u00d7" else "x"
AMR_env$dots <- import_fn("symbol", "cli", error_on_fail = FALSE)$ellipsis %or% "..."
AMR_env$sup_1_icon <- import_fn("symbol", "cli", error_on_fail = FALSE)$sup_1 %or% "*"
AMR_env$cli_abort <- import_fn("cli_abort", "cli", error_on_fail = FALSE)
.onLoad <- function(lib, pkg) {
# Support for tibble headers (type_sum) and tibble columns content (pillar_shaft)
# without the need to depend on other packages. This was suggested by the

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@ -1,6 +1,6 @@
This knowledge base contains all context you must know about the AMR package for R. You are a GPT trained to be an assistant for the AMR package in R. You are an incredible R specialist, especially trained in this package and in the tidyverse.
First and foremost, you are trained on version 2.1.1.9135. Remember this whenever someone asks which AMR package version youre at.
First and foremost, you are trained on version 2.1.1.9136. Remember this whenever someone asks which AMR package version youre at.
Below are the contents of the file, the file, and all the files (documentation) in the package. Every file content is split using 100 hypens.
----------------------------------------------------------------------------------------------------

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@ -34,10 +34,17 @@
import_functions <- c(
"%chin%" = "data.table",
"anti_join" = "dplyr",
"as.data.table" = "data.table",
"as_tibble" = "tibble",
"chmatch" = "data.table",
"cli_abort" = "cli",
"cur_column" = "dplyr",
"cur_group" = "dplyr",
"document_position" = "rstudioapi",
"document_range" = "rstudioapi",
"full_join" = "dplyr",
"getActiveDocumentContext" = "rstudioapi",
"has_color" = "crayon",
"has_internet" = "curl",
"html_attr" = "rvest",
"html_children" = "rvest",
@ -48,26 +55,28 @@ import_functions <- c(
"inner_join" = "dplyr",
"insertText" = "rstudioapi",
"left_join" = "dplyr",
"modifyRange" = "rstudioapi",
"new_pillar_shaft_simple" = "pillar",
"progress_bar" = "progress",
"read_html" = "xml2",
"right_join" = "dplyr",
"semi_join" = "dplyr",
"showQuestion" = "rstudioapi"
"showQuestion" = "rstudioapi",
"symbol" = "cli",
"tibble" = "tibble",
"write.xlsx" = "openxlsx"
)
# functions that are called directly with ::
call_functions <- c(
# cleaner
"freq" = "cleaner",
"freq.default" = "cleaner",
"percentage" = "cleaner",
# cli
"symbol" = "cli",
"ansi_has_hyperlink_support" = "cli",
# rstudioapi (RStudio)
"isAvailable" = "rstudioapi",
"versionInfo" = "rstudioapi",
# readxl
"read_excel" = "readxl",
# curl
"has_internet" = "curl",
# ggplot2
"aes" = "ggplot2",
"arrow" = "ggplot2",
@ -77,6 +86,8 @@ call_functions <- c(
"element_text" = "ggplot2",
"expand_limits" = "ggplot2",
"facet_wrap" = "ggplot2",
"fortify" = "ggplot2",
"geom_col" = "ggplot2",
"geom_errorbar" = "ggplot2",
"geom_path" = "ggplot2",
"geom_point" = "ggplot2",
@ -85,10 +96,10 @@ call_functions <- c(
"geom_text" = "ggplot2",
"ggplot" = "ggplot2",
"labs" = "ggplot2",
"layer" = "ggplot2",
"position_dodge2" = "ggplot2",
"position_fill" = "ggplot2",
"scale_colour_discrete" = "ggplot2",
"scale_discrete_manual" = "ggplot2",
"scale_fill_discrete" = "ggplot2",
"scale_fill_manual" = "ggplot2",
"scale_x_discrete" = "ggplot2",
@ -99,51 +110,61 @@ call_functions <- c(
"unit" = "ggplot2",
"xlab" = "ggplot2",
"ylab" = "ggplot2",
"vec_arith" = "vctrs"
)
if (AMR:::pkg_is_available("skimr", min_version = "2.0.0")) {
call_functions <- c(call_functions,
# skimr
"inline_hist" = "skimr",
"sfl" = "skimr"
)
}
extended_functions <- c(
"freq" = "cleaner",
"autoplot" = "ggplot2",
# knitr
"asis_output" = "knitr",
"kable" = "knitr",
"knit_print" = "knitr",
"opts_chunk" = "knitr",
"rmarkdown" = "knitr",
# pillar
"pillar_shaft" = "pillar",
"get_skimmers" = "skimr",
"tbl_format_footer" = "pillar",
"tbl_sum" = "pillar",
"type_sum" = "pillar",
# readxl
"read_excel" = "readxl",
# rmarkdown
"html_vignette" = "rmarkdown",
# skimr
"get_skimmers" = "skimr",
"inline_hist" = "skimr",
"sfl" = "skimr",
# tibble
"tibble" = "tibble",
# vctrs
"vec_arith" = "vctrs",
"vec_cast" = "vctrs",
"vec_math" = "vctrs",
"vec_ptype2" = "vctrs"
"vec_ptype2" = "vctrs",
"vec_ptype_abbr" = "vctrs",
"vec_ptype_full" = "vctrs"
)
import_functions <- c(import_functions, call_functions, extended_functions)
import_functions <- c(import_functions, call_functions)
suggests <- desc::desc(".")$get_deps()
suggests <- suggests[which(suggests$type == "Suggests"), ]$package
for (i in seq_len(length(import_functions))) {
fn <- names(import_functions)[i]
pkg <- unname(import_functions[i])
expect_true(pkg %in% suggests,
info = paste0("package `", pkg, "` is not in Suggests"))
# function should exist in foreign pkg namespace
if (AMR:::pkg_is_available(pkg,
also_load = FALSE,
min_version = if (pkg == "dplyr") "1.0.0" else NULL
also_load = FALSE,
min_version = if (pkg == "dplyr") "1.0.0" else NULL
)) {
expect_true(!is.null(AMR:::import_fn(name = fn, pkg = pkg, error_on_fail = FALSE)),
info = paste0("does not exist (anymore): function `", pkg, "::", fn, "()`")
)
info = paste0("Function does not exist (anymore): function `", pkg, "::", fn, "()`"))
} else if (pkg != "rstudioapi") {
warning("Package '", pkg, "' does not exist anymore")
warning("Package '", pkg, "' not available")
}
}
if (AMR:::pkg_is_available("cli")) {
expect_true(!is.null(cli::symbol$info))
}
if (AMR:::pkg_is_available("cli")) {
}
if (AMR:::pkg_is_available("cli")) {
expect_true(!is.null(cli::symbol$ellipsis))
expect_true(!is.null(cli::symbol$bullet) && is.character(cli::symbol$bullet) && length(cli::symbol$bullet) == 1)
expect_true(!is.null(cli::symbol$ellipsis) && is.character(cli::symbol$ellipsis) && length(cli::symbol$ellipsis) == 1)
expect_true(!is.null(cli::symbol$info) && is.character(cli::symbol$info) && length(cli::symbol$info) == 1)
expect_true(!is.null(cli::symbol$sup_1) && is.character(cli::symbol$sup_1) && length(cli::symbol$sup_1) == 1)
}
if (AMR:::pkg_is_available("ggplot2")) {
# the scale_*_mic() functions rely on these
@ -152,5 +173,3 @@ if (AMR:::pkg_is_available("ggplot2")) {
expect_true(is.function(ggplot2::scale_colour_discrete()$transform))
expect_true(is.function(ggplot2::scale_fill_discrete()$transform))
}