add support for processing multiple resting-state/task fMRI files

[noahfl]

As it stands, the pipeline can only accept one rfMRI file and one tfMRI file. This issue and corresponding project entry will chronicle the steps taken to rewrite the functional pipeline so that it accepts an arbitrary number of rfMRI/tfMRI files. Below is a task list that should encompass all required to pull this off. Bolded tasks are main tasks while unbolded ones are sub-tasks underneath the main task. Git markdown doesn't let you make sub-task-lists so this is the next best way.

• [x] Modify bb_pipeline_tools/bb_file_manager.py to process arbitrary number of rfMRI/tfMRI files

• [x] modify how rfMRI/tfMRI key/value pairs are stored in/written to fileConfig/file_descriptor.json so they can accept arbitrary number of numbered filenames

• [x] modify function move_file_add_to_config to support writing arbitrary number of numbered filenames to fileConfig

• [x] modify function manage_fMRI to rename and move arbitrary number of rfMRI/tfMRI files and their respect SBREF files, if extant (and generate if not)

• [x] Modify bb_functional_pipeline/bb_pipeline_func.py to loop over each rfMRI/tfMRI key in fileConfig and complete the pipeline for all extant files

• [x] change how fileConfig is read by functional pipeline since keys will be of format e.g. "rfMRI_1", "tfMRI_3", etc.

• [x] create loop that iterates over each matching key and executes the pipeline

• [x] Modify all intermediate processes to accept an additional single numeric argument at the end of their existing arguments and de-hardcode to accept the numeric argument as part of rfMRI/tfMRI filename

• [x] bb_prepare_rfMRI, feat, bb_fix, bb_FC, bb_clean_fix_logs

• [x] modify existing arguments to accommodate new numeric argument where applicable (e.g. feat's first argument in bb_functional_pipeline/bb_pipeline_func.py finds a corresponding .fsf file; modify so it looks for e.g. rfMRI_1.fsf instead of rfMRI.fsf)

[noahfl]

Implement multiple fMRI files

[shen4brains]

Adding iterative field map correction to this issue. Field map correction has been implemented in branch camCAN_fmap but is currently hard-coded for creating the resting-state field map only. Needs to be re-coded to iterate through different field maps to match each fMRI iteration. Relevant code bits to be changed are here:

• [ ] job submission in bb_pipeline_func.py: https://github.com/McIntosh-Lab-RRI/tvb-ukbb/blob/996d6118eb62ac50aea00af506ae0006eba93de9/bb_functional_pipeline/bb_pipeline_func.py#L72
• [ ] field map processing in tvb_prepare_gradEchoFieldMap: https://github.com/McIntosh-Lab-RRI/tvb-ukbb/blob/996d6118eb62ac50aea00af506ae0006eba93de9/bb_functional_pipeline/tvb_prepare_gradEchoFieldMap#L20
• [ ] FEAT parameters to call appropriate field map in bb_prepare_rfMRI: https://github.com/McIntosh-Lab-RRI/tvb-ukbb/blob/996d6118eb62ac50aea00af506ae0006eba93de9/bb_functional_pipeline/bb_prepare_rfMRI#L51