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fix: use new java memory overhead utils (#1150)
### Description This updates all uses of `snakemake-wrapper-utils` to the latest version `0.5.2`. Mostly, to automatically have all the wrappers that use the `get_java_opts()` function reserve 20% of the reserved memory for overhead of the JVM. In some cases, I have increased that default, where the documentation indicated that the overhead is usually larger. And in some cases, I switched the specification in the example Snakefile from `mem_gb` to the canonical `mem_mb`, which is sure to be interpreted correctly for job submissions on cluster systems. ### QC <!-- Make sure that you can tick the boxes below. --> * [x] I confirm that: For all wrappers added by this PR, * there is a test case which covers any introduced changes, * `input:` and `output:` file paths in the resulting rule can be changed arbitrarily, * either the wrapper can only use a single core, or the example rule contains a `threads: x` statement with `x` being a reasonable default, * rule names in the test case are in [snake_case](https://en.wikipedia.org/wiki/Snake_case) and somehow tell what the rule is about or match the tools purpose or name (e.g., `map_reads` for a step that maps reads), * all `environment.yaml` specifications follow [the respective best practices](https://stackoverflow.com/a/64594513/2352071), * wherever possible, command line arguments are inferred and set automatically (e.g. based on file extensions in `input:` or `output:`), * all fields of the example rules in the `Snakefile`s and their entries are explained via comments (`input:`/`output:`/`params:` etc.), * `stderr` and/or `stdout` are logged correctly (`log:`), depending on the wrapped tool, * temporary files are either written to a unique hidden folder in the working directory, or (better) stored where the Python function `tempfile.gettempdir()` points to (see [here](https://docs.python.org/3/library/tempfile.html#tempfile.gettempdir); this also means that using any Python `tempfile` default behavior works), * the `meta.yaml` contains a link to the documentation of the respective tool or command, * `Snakefile`s pass the linting (`snakemake --lint`), * `Snakefile`s are formatted with [snakefmt](https://github.com/snakemake/snakefmt), * Python wrapper scripts are formatted with [black](https://black.readthedocs.io). * Conda environments use a minimal amount of channels, in recommended ordering. E.g. for bioconda, use (conda-forge, bioconda, nodefaults, as conda-forge should have highest priority and defaults channels are usually not needed because most packages are in conda-forge nowadays).
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Original file line number | Diff line number | Diff line change |
---|---|---|
|
@@ -4,4 +4,4 @@ channels: | |
- nodefaults | ||
dependencies: | ||
- gatk4 =4.2 | ||
- snakemake-wrapper-utils =0.5 | ||
- snakemake-wrapper-utils =0.5.2 |
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