ibllib.pipes.photometry_tasks

Extraction tasks for fibrephotometry

Classes

FibrePhotometryExtractionPipeline

This is a legacy pipeline not using the acquisition description file to acquire previous sessions at Princeton

TaskFibrePhotometryPreprocess

TaskFibrePhotometryRegisterRaw

class TaskFibrePhotometryRegisterRaw(*args, collection=None, **kwargs)[source]

Bases: RegisterRawDataTask

priority = 100
job_size = 'small'
property signature

dict() -> new empty dictionary dict(mapping) -> new dictionary initialized from a mapping object’s

(key, value) pairs

dict(iterable) -> new dictionary initialized as if via:

d = {} for k, v in iterable:

d[k] = v

dict(**kwargs) -> new dictionary initialized with the name=value pairs

in the keyword argument list. For example: dict(one=1, two=2)

class TaskFibrePhotometryPreprocess(session_path, regions=None, **kwargs)[source]

Bases: DynamicTask

signature = {'input_files': [('*fpData.raw*', 'raw_photometry_data', True)], 'output_files': [('photometry.signal.pqt', 'alf', True)]}
priority = 90
level = 1
class FibrePhotometryExtractionPipeline(session_path=None, **kwargs)[source]

Bases: Pipeline

This is a legacy pipeline not using the acquisition description file to acquire previous sessions at Princeton

label = 'ibllib.pipes.photometry_tasks'