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(v2.1.1.9139) unit test

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dr. M.S. (Matthijs) Berends 2025-02-01 11:10:42 +01:00
parent 6a206bed12
commit d84033bbcb
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9 changed files with 7 additions and 12 deletions

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@ -1,6 +1,6 @@
Package: AMR
Version: 2.1.1.9138
Date: 2025-01-31
Version: 2.1.1.9139
Date: 2025-02-01
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

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# AMR 2.1.1.9138
# AMR 2.1.1.9139
*(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
Name: AMR
Version: 2.1.1.9138
Version: 2.1.1.9139
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='2.1.1.9138',
version='2.1.1.9139',
packages=find_packages(),
install_requires=[
'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.
First and foremost, you are trained on version 2.1.1.9138. Remember this whenever someone asks which AMR package version youre at.
First and foremost, you are trained on version 2.1.1.9139. 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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@ -141,12 +141,7 @@ call_functions <- c(
import_functions <- c(import_functions, call_functions)
if (AMR:::pkg_is_available("desc")) {
suggests <- desc::desc(".")$get_deps()
suggests <- suggests[which(suggests$type == "Suggests"), ]$package
} else {
suggests <- import_functions
}
suggests <- strsplit(utils::packageDescription(pkg = ".", lib.loc = ".", fields = "Suggests"), "[,\n ]+")[[1]]
for (i in seq_len(length(import_functions))) {
fn <- names(import_functions)[i]
pkg <- unname(import_functions[i])