evolver.base.ConfigDescriptor

class evolver.base.ConfigDescriptor(*, classinfo: WithJsonSchema(json_schema={'type': 'string', 'description': 'fully qualified class name'}, mode=None)], config: dict = {})

__init__(**data: Any) → None

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

__init__(**data)	Create a new model by parsing and validating input data from keyword arguments.
construct([_fields_set])
copy(*[, include, exclude, update, deep])	Returns a copy of the model.
create([update, non_config_kwargs])	Create an instance of classinfo from a descriptor.
dict(*[, include, exclude, by_alias, ...])
from_orm(obj)
json(*[, include, exclude, by_alias, ...])
load(file_path[, encoding])	Loads the specified config file and return a new instance.
model_construct([_fields_set])	Creates a new instance of the Model class with validated data.
model_copy(*[, update, deep])	!!! abstract "Usage Documentation"
model_dump(*[, mode, include, exclude, ...])	!!! abstract "Usage Documentation"
model_dump_json(*[, indent, ensure_ascii, ...])	!!! abstract "Usage Documentation"
model_json_schema([by_alias, ref_template, ...])	Generates a JSON schema for a model class.
model_parametrized_name(params)	Compute the class name for parametrizations of generic classes.
model_post_init(context, /)	Override this method to perform additional initialization after __init__ and model_construct.
model_rebuild(*[, force, raise_errors, ...])	Try to rebuild the pydantic-core schema for the model.
model_validate(obj, *args, **kwargs)	Effectively the same as pydantic.BaseModel.model_validate() except that it automatically handles conversion from instances of BaseConfig and BaseInterface.
model_validate_json(json_data, *[, strict, ...])	!!! abstract "Usage Documentation"
model_validate_strings(obj, *[, strict, ...])	Validate the given object with string data against the Pydantic model.
parse_file(path, *[, content_type, ...])
parse_obj(obj)
parse_raw(b, *[, content_type, encoding, ...])
save(file_path[, encoding])	Write out config as yaml file to specified file.
schema([by_alias, ref_template])
schema_json(*[, by_alias, ref_template])
shallow_model_dump()	When a config is a complete pydantic.BaseModel, where all fields are adequately created.
update_forward_refs(**localns)
validate(value)
validate_classinfo(v)
validate_config(v)

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.
classinfo
config