Sasctl

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**Improvements**
- Improved functionality for `score_definition.py` and `score_execution.py`, allowing for more general usage of the `score_model_with_cas` task
- Also allowed for model name to be passed into functions instead of requiring model UUID
- Pickle files now loaded with `pd.read_pickle()` instead of `pickle.load()` in score code, allowing for more flexibility between python environments

**Bugfixes**
- Updated `pzmm_generate_complete_model_card.ipynb` to have better preprocessing function

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**Changes**
- Added `score_definition.py` and `score_execution.py` to allow for score testing within SAS Model Manager
- Included optional use of CAS Gateway for faster scoring. Only available in environments where Gateway scoring is properly set up.
- Added ability to include data pre-processing function within python score code using the `preprocess_function` argument.

**Bugfixes**
- Fixed issue where settings file was improperly imported in some score code files.

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**Changes**
- Due to licensing restrictions, the `sasctl` package will no longer be available through Anaconda.

**Bugfixes**
- Fixed a bug that caused an error when performing SSL verification without a CA bundle specified.

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**Improvements**
- Refactor `tasks.py` to utilize `sasctl.pzmm` functions.
- Add `model_info` class to better capture model information.

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**Buxfixes**
- Updated `write_json_files.py` to allow for better support for prediction models
- Fixed issues relating to model card support.

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**Improvements**
- Added example Jupyter notebook for OpenAI models.

**Buxfixes**
- Dropped support for Python 3.6 and Python 3.7, as those are no longer officially supported versions.
- Added `dmcas_misc.json` template file for model card generation.
- Updated generation of `ModelProperties.json` to allow for model card generation immediately upon upload.