neuralib.widefield.preproc.InputArguments
- class neuralib.widefield.preproc.InputArguments[source]
Bases:
TypedDictCLI/configuration values used for a preprocessing run.
- __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
- input_source: str
- suffix_pattern: str
- output_dir: str
- motion_correction: bool
- rotate: float | None
- chunk_size: int
- window_size: int
- percentile: int
- n_jobs: int
- max_shift: int
- force_compute: bool
- save_f0: bool
- use_gpu: bool