Error message for Class PysparkProcessor--> get_run_args, when submit_py_files is not list is misleading

**Describe the bug**
When using a PysparkProcessor's class and methods, a deceptive error message is thrown. The class method PysparkProcessor--> get_run_args gives the following error when pipeline.upsert(role_arn= role) is called when one of the arguments, submit_py_files, is supplied and is not a Python list. The fault was initially thought to be a Sagemaker pipeline error, but we later learned that it was a PySpark processing step problem.

Error throw when called pipeline.upsert(role_arn= role). Consumed lot of our time

### "“PermissionError: [Errno 13] Permission denied: ‘/opt/.sagemakerinternal/conda/pkgs/brotlipy-0.7.0-py37h27cfd23_10039ghk6y6y’“.

**To reproduce**
1. Create a Pyspark processor
2. Pass in the the optional input submit_py_files as a string not a python list.
3. Create the Sagemaker pipeline with one step called preprocess.
4. Call pipeline.upsert(role_arn= role) and get this error.

**Expected behavior**
The PysparkProcessor class should have an isinstance() check for all the inputs to ensure the right datatypes. Even the doc string in the code is good.

**Screenshots or logs**
"“PermissionError: [Errno 13] Permission denied: ‘/opt/.sagemakerinternal/conda/pkgs/brotlipy-0.7.0-py37h27cfd23_10039ghk6y6y’“. When creating a Sagemaker pipeline, especially upserting the role, pipeline.upsert(role_arn= role)."

**System information**
A description of your system. Please provide:
- **SageMaker Python SDK version**: 2.145.0
- **Framework name (eg. PyTorch) or algorithm (eg. KMeans)**: PysparkProcessor
- **Framework version**: 2.4
- **Python version**: 3.9
- **CPU or GPU**: CPU
- **Custom Docker image (Y/N)**:N

**Additional context**
Add any other context about the problem here.