neuralib.widefield.preproc.PreprocessMeta
- class neuralib.widefield.preproc.PreprocessMeta[source]
Bases:
TypedDictMetadata schema written to
metadata.jsonbyPreprocessOptions.Required fields are not enforced because older metadata files can be partial when preprocessing was interrupted or produced by an earlier version.
- __init__(*args, **kwargs)
Methods
__init__(*args, **kwargs)clear()copy()fromkeys(iterable[, value])Create a new dictionary with keys from iterable and values set to value.
get(key[, default])Return the value for key if key is in the dictionary, else default.
items()keys()pop(k[,d])If the key is not found, return the default if given; otherwise, raise a KeyError.
popitem()Remove and return a (key, value) pair as a 2-tuple.
setdefault(key[, default])Insert key with a value of default if key is not in the dictionary.
update([E, ]**F)If E is present and has a .keys() method, then does: for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]
values()Attributes
- timestamp: str
- input_arguments: InputArguments
- processing: ProcessedInfo
- f0_baseline: BaselineInfo | None
- motion_correction: MotionCorrInfo | None