
v1.0.0-beta.9 - Enhancements to Argparse Formatting and Usability This release introduces significant improvements to argparse help formatting, leveraging the Rich library for enhanced readability and usability in terminal output. New script help_formatter.py (replaces argparse_utils.py): Rich-Enhanced Argparse Help: Implemented RichArgumentParser and CustomHelpAction to integrate richly formatted help messages, including styled docstrings and argument lists. SuppressMetavar Class: Updated documentation on nargs configurations to avoid issue with argparse help wrapping to ensure consistent display across different terminal sizes. format_argparse_help Function: Applies custom styles to argparse help text, highlighting flags, defaults, and sections. format_docstring_for_terminal Function: Formats module docstrings with Rich's styled output for enhanced terminal display, improving readability by highlighting sections, command names, and key elements. Improvements: Refactored get_samples(): Refactored for better flexibility and clearer output, now consolidated with the -e and -d arguments for directory processing. New: utils_get_samples Command: For testing --pattern and --dirs args in commands that perform batch processing Simplified Sphinx Documentation: Addressed Sphinx warnings and improved compatibility by replacing with * in help_formatter (except when quotes are used) Refactored Scripts: Various scripts, such as copy_specific_slices, filter_csv.py, and seg_ilastik, have been refactored for improved functionality and clarity. Fixes: Sphinx Warnings: Resolved multiple warnings during documentation builds, ensuring a cleaner and more reliable doc generation process.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
