Commit 342b2de
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RLS Version 1.5.0
The two big changes are:
1. the ability to use Yaml files to specify samples,
2. the introduction of `run_for_all` (and `run_for_all_samples`) functions to simplify the usage of the `parallel` module.
Several of the other changes were then to support these two features.
Additionally, some minor fixes and improvements were made.
Full ChangeLog:
- Add `load_sample_list` function to load samples in YAML format.
- Add `compress_level` argument to `write` function to specify the compression level.
- Added `name()` method to `ReadSet` objects, so you can do:
input = load_fastq_directory("my-sample")
print(input.name())
which will print `my-sample`.
- Added `println` function which works like `print` but prints a newline after the output.
- Make `print()` accept ints and doubles as well as strings.
- Added `run_for_all` function to `parallel` module, simplifying its API.
- When using the `parallel` module and a job fails, writes the log to the corresponding `.failed` file.
- External modules can now use the `sequenceset` type to represent a FASTA file.
- The `load_fastq_directory` function now supports `.xz` compressed files.
- The `parallel` module now checks for stale locks **before** re-trying failed tasks. The former model could lead to a situation where a particular sample failed deterministically and then blocked progress even when some locks were stale.
Bugfixes
- The `parallel` module should generate a `.failed` file for each failed job, but this was not happening in every case.
- Fixed parsing of GFF files to support negative values (reported by Josh Sekela on the mailing-list).1 parent 7c1e092 commit 342b2de
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