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
FibrePhotometryPreprocess
FibrePhotometryRegisterRaw

class FibrePhotometryRegisterRaw(*args, **kwargs)

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 FibrePhotometryPreprocess(session_path, regions=None, **kwargs)

Bases: DynamicTask

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)

priority = 90

level = 1

class FibrePhotometryExtractionPipeline(session_path=None, **kwargs)

Bases: Pipeline

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

label = 'ibllib.pipes.photometry_tasks'