"""Contains the implementations for the quadrature methods
Implements the supported quadrature methods.
"""
from collections.abc import Callable
from pydantic import Field
from ..base import CalibrationMethodBase, CalibrationWorkflowBase
from ..data_model import CalibrationModel
from .emukit_wrapper import EmukitQuadrature
TASK = "quadrature"
IMPLEMENTATIONS: dict[str, type[CalibrationWorkflowBase]] = dict(
emukit=EmukitQuadrature
)
[docs]
def get_implementations() -> dict[str, type[CalibrationWorkflowBase]]:
"""Get the calibration implementations for quadrature.
Returns:
Dict[str, type[CalibrationWorkflowBase]]: The dictionary
of calibration implementations for quadrature.
"""
return IMPLEMENTATIONS
[docs]
class QuadratureMethodModel(CalibrationModel):
"""The quadrature method data model.
Args:
BaseModel (CalibrationModel): The calibration base model class.
"""
kernel: str | None = Field(
description="The Kernel embeddings for Bayesian quadrature",
default="QuadratureRBFLebesgueMeasure",
)
measure: str | None = Field(
description="The Integration measures", default="LebesgueMeasure"
)
[docs]
class QuadratureMethod(CalibrationMethodBase):
"""The quadrature method class."""
def __init__(
self,
calibration_func: Callable,
specification: QuadratureMethodModel,
engine: str = "emukit",
implementation: CalibrationWorkflowBase | None = None,
) -> None:
"""QuadratureMethod constructor.
Args:
calibration_func (Callable): The calibration function.
For example, a simulation function or objective function.
specification (QuadratureMethodModel): The calibration
specification.
engine (str, optional): The Quadrature backend.
Defaults to "emukit".
implementation (CalibrationWorkflowBase | None): The
calibration workflow implementation.
"""
super().__init__(
calibration_func,
specification,
TASK,
engine,
IMPLEMENTATIONS,
implementation,
)