Source code for magpylib_jax.magnet.cuboid

"""Differentiable cuboid magnet source."""

from __future__ import annotations

import jax.numpy as jnp

from magpylib_jax._types import ArrayLike
from magpylib_jax.constants import MU0
from magpylib_jax.core.base import BaseSource, MagpylibMissingInput
from magpylib_jax.functional import getB, getH, getJ, getM


[docs] class Cuboid(BaseSource): """Homogeneously polarized cuboid.""" _source_type = "cuboid" def __init__( self, dimension: ArrayLike | None = None, polarization: ArrayLike | None = None, magnetization: ArrayLike | None = None, position: ArrayLike = (0.0, 0.0, 0.0), orientation: ArrayLike | None = None, style=None, style_label: str | None = None, **kwargs, ) -> None: self.dimension = dimension self.polarization = polarization self.magnetization = magnetization self.meshing = None super().__init__( position=position, orientation=orientation, style=style, style_label=style_label, **kwargs, ) @property def _polarization(self) -> jnp.ndarray: if self.polarization is not None: return jnp.asarray(self.polarization, dtype=jnp.float64) if self.magnetization is not None: return MU0 * jnp.asarray(self.magnetization, dtype=jnp.float64) raise MagpylibMissingInput("Input polarization of Cuboid must be set.") @property def volume(self) -> float: if self.dimension is None: return 0.0 a, b, c = jnp.asarray(self.dimension, dtype=jnp.float64) return float(a * b * c) @property def centroid(self) -> jnp.ndarray: return jnp.asarray(self.position, dtype=jnp.float64) def _require_inputs(self) -> None: if self.dimension is None: raise MagpylibMissingInput("Input dimension of Cuboid must be set.") if self.polarization is None and self.magnetization is None: raise MagpylibMissingInput("Input polarization of Cuboid must be set.") def getB( self, *observers: ArrayLike, in_out: str = "auto", squeeze: bool = True, sumup: bool = False, output: str = "ndarray", pixel_agg: str | None = None, ) -> jnp.ndarray: self._require_inputs() obs = observers[0] if len(observers) == 1 else list(observers) return getB( "cuboid", obs, dimension=self.dimension, polarization=self._polarization, position=self.position, orientation=self.orientation, in_out=in_out, squeeze=squeeze, sumup=sumup, output=output, pixel_agg=pixel_agg, ) def getH( self, *observers: ArrayLike, in_out: str = "auto", squeeze: bool = True, sumup: bool = False, output: str = "ndarray", pixel_agg: str | None = None, ) -> jnp.ndarray: self._require_inputs() obs = observers[0] if len(observers) == 1 else list(observers) return getH( "cuboid", obs, dimension=self.dimension, polarization=self._polarization, position=self.position, orientation=self.orientation, in_out=in_out, squeeze=squeeze, sumup=sumup, output=output, pixel_agg=pixel_agg, ) def getJ( self, *observers: ArrayLike, in_out: str = "auto", squeeze: bool = True, sumup: bool = False, ) -> jnp.ndarray: self._require_inputs() obs = observers[0] if len(observers) == 1 else list(observers) return getJ( "cuboid", obs, dimension=self.dimension, polarization=self._polarization, position=self.position, orientation=self.orientation, in_out=in_out, squeeze=squeeze, sumup=sumup, ) def getM( self, *observers: ArrayLike, in_out: str = "auto", squeeze: bool = True, sumup: bool = False, ) -> jnp.ndarray: self._require_inputs() obs = observers[0] if len(observers) == 1 else list(observers) return getM( "cuboid", obs, dimension=self.dimension, polarization=self._polarization, position=self.position, orientation=self.orientation, in_out=in_out, squeeze=squeeze, sumup=sumup, ) def copy(self, **kwargs) -> Cuboid: return super().copy(**kwargs)