reVeal.config.normalize.Attribute#

class Attribute(*, attribute: str, normalize_method: NormalizeMethodEnum, dset_src: Annotated[Path, PathType(path_type=file)], invert: bool = False)[source]#

Inputs for a single attribute entry in the NormalizeConfig.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Methods

Check that attribute is present in the input dataset and is a numeric datatype.

Attributes

`model_computed_fields`
`model_config`	Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
`model_extra`	Get extra fields set during validation.
`model_fields`
`model_fields_set`	Returns the set of fields that have been explicitly set on this model instance.
`attribute`
`normalize_method`
`dset_src`
`invert`

attribute_check()[source]#

Check that attribute is present in the input dataset and is a numeric datatype.

Raises:: TypeError – A TypeError will be raised if the input attribute exists in the dataset but is not a numeric datatype.

model_config: ClassVar[ConfigDict] = {'extra': 'forbid'}#: Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

property model_extra: dict[str, Any] | None#

Get extra fields set during validation.

Returns:: A dictionary of extra fields, or None if config.extra is not set to “allow”.

property model_fields_set: set[str]#

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,: i.e. that were not filled from defaults.