jesterTOV.inference.config.schema.MetamodelCSEEOSConfig

class MetamodelCSEEOSConfig(**data)

Bases: BaseMetamodelEOSConfig

Configuration for MetaModel with CSE extension.

Variables:

• type (Literal["metamodel_cse"]) – EOS type identifier

• nb_CSE (int) – Number of CSE parameters (must be > 0, typically 4-8)

• ndat_CSE (int) – Number of density grid points for the CSE region (default: 100)

• max_nbreak_nsat (float | None) – Maximum allowed breaking density in units of nsat (default: None, meaning no upper bound beyond the prior). If specified, this must be consistent with the upper bound of the nbreak prior; an error is raised if they disagree.

__init__(**data)

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.
dict(*[, include, exclude, by_alias, ...])
from_orm(obj)
json(*[, include, exclude, by_alias, ...])
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, *[, strict, extra, ...])	Validate a pydantic model instance.
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, ...])
schema([by_alias, ref_template])
schema_json(*[, by_alias, ref_template])
update_forward_refs(**localns)
validate(value)
validate_nb_cse(v)	Validate that nb_CSE is positive for metamodel_cse.

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.
type
nb_CSE
ndat_CSE
max_nbreak_nsat
ndat_metamodel
nmax_nsat
nmin_MM_nsat
crust_name

max_nbreak_nsat: float | None

model_config: ClassVar[ConfigDict] = {'extra': 'forbid'}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

nb_CSE: int

ndat_CSE: int

type: Literal['metamodel_cse']

classmethod validate_nb_cse(v)

Validate that nb_CSE is positive for metamodel_cse.

Return type:

int