Source code for physped.core.distribution_approximator

"""Module for a with distribution approximation classes."""

import logging
from dataclasses import dataclass
from typing import Callable, Tuple

from scipy.stats import norm

log = logging.getLogger(__name__)


[docs] @dataclass class DistApproximation: """A class for the distribution approximation of the potential.""" fit_dimensions: Tuple[str, ...] fit_parameters: Tuple[str, ...] function: Callable
[docs] class GaussianApproximation(DistApproximation): def __init__(self): predefined_kwargs = { "fit_dimensions": ("x", "y", "u", "v"), "fit_parameters": ("mu", "sigma"), "function": norm.fit, } super().__init__(**predefined_kwargs)