Neurocaps

💻 Metadata
- Clarifies that the p-values obtained in `CAP.caps2corr` are uncorrected.

🚀 New/Added
- Minor update that adds some features to `CAP.caps2corr()`, specifically adds three parameters - `return_df`, `save_df`,
and `save_plots`. Now, in addition to visualizing a correlation matrix, this function can also return a pandas dataframe
containing a correlation matrix, where each element in the correlation matrix is accompanied by its p-value in
parenthesis, which is followed by an asterisk (single asterisk for < 0.05, double asterisk for 0.01, and triple asterisk
for < 0.001). These dataframes can also be saves as csv files.
- All plotting functions that use matplotlib includes `bbox_inches` as a kwarg and defaults to "tight".
- Added `annot_kws` kwargs to `CAPs.caps2plot` and `CAP.caps2corr`.

♻ Changed
- When specified, allows `runs` parameter to be string, int, list of strings, or list of integers instead of just lists.
Always ensures it is converted to list if integer or string.
- Clarifies warning if tr not specified in `TimeseriesExtractor` by stating the `tr` is set to `None` and that extraction
will continue.
- For `CAP.get_caps`, if runs is `None`, the `self.runs` property is just None instead of being set to "all". Only affects what
is returned by `self.runs` when nothing is specified.

💻 Metadata
- Includes the updated type hints in 0.12.1.post1 and removes the unsupported operand for compatibility with
Python 3.9.

💻 Metadata
- Additional type hint updates.
- **Reason for Yanking**: Yanked due to potentially unsupported operand for type hinting (the vertical bar `|`)
in earlier Python versions (3.9).

♻ Changed
- For `merge_dicts` sorts the run keys lexicographically so that subjects that don't have the earliest run-id in the
first dictionary due to not having that run or the run being excluded still have ordered run keys in the merged
dictionary.

💻 Metadata
- Updates `runs` parameters type hints so that it is known that strings can be used to0.