## Summary
The code changes are purely cosmetic- the result of applying pre-commit to all our files. I also added a pre-commit step to the build pipeline to reject non-conforming PRs
## Test process
I saw that the build pipeline passes with this new step.
## Checklist
- [ ] This PR is linked to a **work item**
- [x] I have performed **self-review** of the code
- [ ] I have written **tests** for any new functionality added with this PR
- [ ] I have updated the **documentation** if this PR changes or adds functionality
- [x] I have run **pre-commit** checks for code style
Related work items: #1557
## Summary
Logic error with negation of booleans.
## Test process
Run with debug logging to verify that no longer getting warnings about reference IERS being blocked.
## Checklist
- [x] This PR is linked to a **work item**
- [x] I have performed **self-review** of the code
- [ ] I have written **tests** for any new functionality added with this PR
- [ ] I have updated the **documentation** if this PR changes or adds functionality
- [x] I have run **pre-commit** checks for code style
Fix ier reward calculation
Related work items: #1554
## Summary
As per the ticket and James's explanation, there are now separate reference IERs which are used for the reference environment.
## Test process
I verified that the training can occur.
## Checklist
- [x] This PR is linked to a **work item**
- [x] I have performed **self-review** of the code
- [n/a] I have written **tests** for any new functionality added with this PR
- [n/a] I have updated the **documentation** if this PR changes or adds functionality
- [x] I have run **pre-commit** checks for code style
Fix reference IERs
Related work items: #1554
## Summary
- Created app dirs and set as constants in the top-level init.
- Renamed _config_values_main to training_config.py and renamed the ConfigValuesMain class to TrainingConfig.
- Moved training_config.py to src/primaite/config/training_config.py
- Renamed all training config yaml file keys to make creating an instance of TrainingConfig easier.
- Moved action_type and num_steps over to the training config.
- Decoupled the training config and lay down config.
- Refactored main.py so that it can be ran from CLI and can take a training config path and a lay down config path.
- Refactored all outputs so that they save to the session dir.
- Added some necessary setup scripts that handle creating app dirs, fronting example config files to the user, fronting demo notebooks to the user, performing clean-up in between installations etc.
- Added functions that attempt to retrieve the file path of users example config files that have been fronted by the primaite setup.
- Added logging config and a getLogger function in the top-level init.
- Refactored all logs entries logged to use a logger using the primaite logging config.
- Added basic typer CLI for doing things like setup, viewing logs, viewing primaite version, running a basic session.
- Updated test to use new features and config structures.
- Made tests log to temp directory
- typer==0.9.0 added to pyproject.toml
- Refactored documentation and included APi docs, dependencies.
- Make files now re-build autosummary and deps file.
- Added typer and platformdirs to deps in pyproject.toml.
- Made root_is_pure = True in setup.py as platform/python specific wheels don't need to be built but the option is there should we need to.
## Test process
- Added an e2e test for primaite.main.run func.
- Added legacy config file conversion tests
- added
## Checklist
- [X] This PR is linked to a **work item**
- [X] I have performed **self-review** of the code
- [X] I have written **tests** for any new functionality added with this PR
- [X] I have updated the **documentation** if this PR changes or adds functionality
- [X] I have run **pre-commit** checks for code style
Related work items: #915
