ontouml_py.model.cardinality

Module Contents

Classes

Cardinality

Usage docs: https://docs.pydantic.dev/2.5/concepts/models/

class ontouml_py.model.cardinality.Cardinality(**data)

Bases: pydantic.BaseModel

Usage docs: https://docs.pydantic.dev/2.5/concepts/models/

A base class for creating Pydantic models.

Attributes:

__class_vars__: The names of classvars defined on the model. __private_attributes__: Metadata about the private attributes of the model. __signature__: The signature for instantiating the model.

__pydantic_complete__: Whether model building is completed, or if there are still undefined fields. __pydantic_core_schema__: The pydantic-core schema used to build the SchemaValidator and SchemaSerializer. __pydantic_custom_init__: Whether the model has a custom __init__ function. __pydantic_decorators__: Metadata containing the decorators defined on the model.

This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.

__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to

__args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these.

__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models. __pydantic_post_init__: The name of the post-init method for the model, if defined. __pydantic_root_model__: Whether the model is a RootModel. __pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model. __pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.

__pydantic_extra__: An instance attribute with the values of extra fields from validation when

model_config[‘extra’] == ‘allow’.

__pydantic_fields_set__: An instance attribute with the names of fields explicitly set. __pydantic_private__: Instance attribute with the values of private attributes set on the model instance.

Parameters:

data (Any) –

lower_bound: str | int | None
upper_bound: str | int | None
is_ordered: bool
is_unique: bool
model_config