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(v2.1.1.9138) unit tests

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dr. M.S. (Matthijs) Berends 2025-01-31 23:06:45 +01:00
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commit 6a206bed12
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DESCRIPTION
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Package: AMR Package: AMR
Version: 2.1.1.9137 Version: 2.1.1.9138
Date: 2025-01-31 Date: 2025-01-31
Title: Antimicrobial Resistance Data Analysis Title: Antimicrobial Resistance Data Analysis
Description: Functions to simplify and standardise antimicrobial resistance (AMR) Description: Functions to simplify and standardise antimicrobial resistance (AMR)

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NEWS.md
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# AMR 2.1.1.9137 # AMR 2.1.1.9138
*(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).)* *(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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PythonPackage/AMR/AMR.egg-info/PKG-INFO
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Metadata-Version: 2.2 Metadata-Version: 2.2
Name: AMR Name: AMR
Version: 2.1.1.9137 Version: 2.1.1.9138
Summary: A Python wrapper for the AMR R package Summary: A Python wrapper for the AMR R package
Home-page: https://github.com/msberends/AMR Home-page: https://github.com/msberends/AMR
Author: Matthijs Berends Author: Matthijs Berends

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PythonPackage/AMR/dist/AMR-2.1.1.9137-py3-none-any.whl → PythonPackage/AMR/dist/AMR-2.1.1.9138-py3-none-any.whl vendored
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PythonPackage/AMR/setup.py
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@ -2,7 +2,7 @@ from setuptools import setup, find_packages
setup( setup(
name='AMR', name='AMR',
version='2.1.1.9137', version='2.1.1.9138',
packages=find_packages(), packages=find_packages(),
install_requires=[ install_requires=[
'rpy2', 'rpy2',

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data-raw/gpt_training_text_v2.1.1.9137.txt → data-raw/gpt_training_text_v2.1.1.9138.txt
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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. 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 2.1.1.9137. Remember this whenever someone asks which AMR package version you’re at. First and foremost, you are trained on version 2.1.1.9138. Remember this whenever someone asks which AMR package version you’re 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. 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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tests/testthat/test-zzz.R
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@ -115,7 +115,6 @@ call_functions <- c(
"kable" = "knitr", "kable" = "knitr",
"knit_print" = "knitr", "knit_print" = "knitr",
"opts_chunk" = "knitr", "opts_chunk" = "knitr",
"rmarkdown" = "knitr",
# pillar # pillar
"pillar_shaft" = "pillar", "pillar_shaft" = "pillar",
"tbl_format_footer" = "pillar", "tbl_format_footer" = "pillar",
@ -141,8 +140,13 @@ call_functions <- c(
) )
import_functions <- c(import_functions, call_functions) import_functions <- c(import_functions, call_functions)
suggests <- desc::desc(".")$get_deps()
suggests <- suggests[which(suggests$type == "Suggests"), ]$package if (AMR:::pkg_is_available("desc")) {
suggests <- desc::desc(".")$get_deps()
suggests <- suggests[which(suggests$type == "Suggests"), ]$package
} else {
suggests <- import_functions
}
for (i in seq_len(length(import_functions))) { for (i in seq_len(length(import_functions))) {
fn <- names(import_functions)[i] fn <- names(import_functions)[i]
pkg <- unname(import_functions[i]) pkg <- unname(import_functions[i])