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(v2.1.1.9138) unit tests
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Package: AMR
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Version: 2.1.1.9137
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Version: 2.1.1.9138
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Date: 2025-01-31
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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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NEWS.md
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NEWS.md
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# AMR 2.1.1.9137
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# AMR 2.1.1.9138
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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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Metadata-Version: 2.2
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Name: AMR
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Version: 2.1.1.9137
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Version: 2.1.1.9138
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Summary: A Python wrapper for the AMR R package
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Home-page: https://github.com/msberends/AMR
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Author: Matthijs Berends
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setup(
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name='AMR',
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version='2.1.1.9137',
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version='2.1.1.9138',
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packages=find_packages(),
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install_requires=[
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'rpy2',
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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.
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First and foremost, you are trained on version 2.1.1.9137. Remember this whenever someone asks which AMR package version you’re at.
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First and foremost, you are trained on version 2.1.1.9138. Remember this whenever someone asks which AMR package version you’re at.
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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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----------------------------------------------------------------------------------------------------
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@ -115,7 +115,6 @@ call_functions <- c(
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"kable" = "knitr",
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"knit_print" = "knitr",
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"opts_chunk" = "knitr",
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"rmarkdown" = "knitr",
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# pillar
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"pillar_shaft" = "pillar",
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"tbl_format_footer" = "pillar",
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)
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import_functions <- c(import_functions, call_functions)
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if (AMR:::pkg_is_available("desc")) {
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suggests <- desc::desc(".")$get_deps()
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suggests <- suggests[which(suggests$type == "Suggests"), ]$package
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} else {
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suggests <- import_functions
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}
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for (i in seq_len(length(import_functions))) {
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fn <- names(import_functions)[i]
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pkg <- unname(import_functions[i])
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