napari.utils.events.EventedModel#
- class napari.utils.events.EventedModel(**kwargs)[source]#
Bases:
BaseModel
A Model subclass that emits an event whenever a field value is changed.
Note: As per the standard pydantic behavior, default Field values are not validated (#4138) and should be correctly typed.
Methods
construct
([_fields_set])Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data.
copy
(*[, include, exclude, update, deep])Duplicate a model, optionally choose which fields to include, exclude and change.
dict
(*[, include, exclude, by_alias, ...])Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.
enums_as_values
([as_values])Temporarily override how enums are retrieved.
from_orm
(obj)json
(*[, include, exclude, by_alias, ...])Generate a JSON representation of the model, include and exclude arguments as per dict().
parse_file
(path, *[, content_type, ...])parse_obj
(obj)parse_raw
(b, *[, content_type, encoding, ...])reset
()Reset the state of the model to default values.
schema
([by_alias, ref_template])schema_json
(*[, by_alias, ref_template])update
(values[, recurse])Update a model in place.
update_forward_refs
(**localns)Try to update ForwardRefs on fields based on this Model, globalns and localns.
validate
(value)Attributes
events
Details
- classmethod construct(_fields_set: SetStr | None = None, **values: Any) Model #
Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed. Behaves as if Config.extra = ‘allow’ was set since it adds all passed values
- copy(*, include: AbstractSetIntStr | MappingIntStrAny | None = None, exclude: AbstractSetIntStr | MappingIntStrAny | None = None, update: DictStrAny | None = None, deep: bool = False) Model #
Duplicate a model, optionally choose which fields to include, exclude and change.
- Parameters:
include – fields to include in new model
exclude – fields to exclude from new model, as with values this takes precedence over include
update – values to change/add in the new model. Note: the data is not validated before creating the new model: you should trust this data
deep – set to True to make a deep copy of the model
- Returns:
new model instance
- dict(*, include: AbstractSetIntStr | MappingIntStrAny | None = None, exclude: AbstractSetIntStr | MappingIntStrAny | None = None, by_alias: bool = False, skip_defaults: bool | None = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False) DictStrAny #
Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.
- enums_as_values(as_values: bool = True)[source]#
Temporarily override how enums are retrieved.
- Parameters:
as_values (bool, optional) – Whether enums should be shown as values (or as enum objects), by default True
- json(*, include: AbstractSetIntStr | MappingIntStrAny | None = None, exclude: AbstractSetIntStr | MappingIntStrAny | None = None, by_alias: bool = False, skip_defaults: bool | None = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, encoder: Callable[[Any], Any] | None = None, models_as_dict: bool = True, **dumps_kwargs: Any) unicode #
Generate a JSON representation of the model, include and exclude arguments as per dict().
encoder is an optional function to supply as default to json.dumps(), other arguments as per json.dumps().
- update(values: EventedModel | dict, recurse: bool = True) None [source]#
Update a model in place.
- Parameters:
values (dict, napari.utils.events.EventedModel) – Values to update the model with. If an EventedModel is passed it is first converted to a dictionary. The keys of this dictionary must be found as attributes on the current model.
recurse (bool) – If True, recursively update fields that are EventedModels. Otherwise, just update the immediate fields of this EventedModel, which is useful when the declared field type (e.g.
Union
) can have different realized types with different fields.