feat: acc ND

src/coordinax/_dn/base.py

@@ -1,16 +1,19 @@
 """Representation of coordinates in different systems."""
 
-__all__ = ["AbstractPositionND", "AbstractPositionNDDifferential"]
+__all__ = ["AbstractPositionND", "AbstractVelocityND", "AbstractAccelerationND"]
 
 
 from abc import abstractmethod
 from dataclasses import replace
 from typing import TYPE_CHECKING, Any
 
+import equinox as eqx
+
 import quaxed.lax as qlax
 import quaxed.numpy as qnp
 
 from coordinax._base import AbstractVector
+from coordinax._base_acc import AbstractAcceleration
 from coordinax._base_pos import AbstractPosition
 from coordinax._base_vel import AbstractVelocity
 from coordinax._utils import classproperty
@@ -82,7 +85,7 @@ def reshape(self, *hape: Any, order: str = "C") -> "Self":
         return replace(self, q=self.q.reshape(*hape, self.q.shape[-1], order=order))
 
 
-class AbstractPositionNDDifferential(AbstractVelocity):
+class AbstractVelocityND(AbstractVelocity):
     """Abstract representation of N-D vector differentials."""
 
     @classproperty
@@ -146,3 +149,143 @@ def flatten(self) -> "Self":
     def reshape(self, *hape: Any, order: str = "C") -> "Self":
         """Reshape the vector."""
         return replace(self, q=self.q.reshape(*hape, self.q.shape[-1], order=order))
+
+
+class AbstractAccelerationND(AbstractAcceleration):
+    """Abstract representation of N-D vector differentials."""
+
+    @classproperty
+    @classmethod
+    def _cartesian_cls(cls) -> type[AbstractVector]:
+        """Get the Cartesian acceleration class.
+
+        Examples
+        --------
+        >>> import coordinax as cx
+        >>> cx.CartesianAccelerationND._cartesian_cls
+        <class 'coordinax...CartesianAccelerationND'>
+
+        """
+        from .cartesian import CartesianAccelerationND
+
+        return CartesianAccelerationND
+
+    @classproperty
+    @classmethod
+    @abstractmethod
+    def integral_cls(cls) -> type[AbstractVelocityND]:
+        raise NotImplementedError  # pragma: no cover
+
+    # ===============================================================
+    # Array API
+
+    @property
+    def mT(self) -> "Self":  # noqa: N802
+        """Transpose the vector.
+
+        The last axis is interpreted as the feature axis. The matrix
+        transpose is performed on the last two non-feature axes.
+
+        Examples
+        --------
+        >>> from unxt import Quantity
+        >>> import coordinax as cx
+        >>> vec = cx.CartesianAccelerationND(Quantity([[[1, 2, 3]],
+        ...                                            [[4, 5, 6]]], "m/s^2"))
+        >>> vec.shape
+        (2, 1)
+
+        >>> vec.mT.shape
+        (1, 2)
+
+        """
+        ndim = self.ndim
+        ndim = eqx.error_if(
+            ndim,
+            ndim < 2,
+            f"x must be at least two-dimensional for matrix_transpose; got {ndim=}",
+        )
+        axes = (*range(ndim - 3), ndim - 1, ndim - 2, ndim)
+        return replace(self, d2_q=qlax.transpose(self.d2_q, axes))
+
+    @property
+    def shape(self) -> tuple[int, ...]:
+        """Get the shape of the vector's components.
+
+        When represented as a single array, the vector has an additional
+        dimension at the end for the components.
+
+        Examples
+        --------
+        >>> from unxt import Quantity
+        >>> import coordinax as cx
+        >>> vec = cx.CartesianAccelerationND(Quantity([[[1, 2, 3]],
+        ...                                            [[4, 5, 6]]], "m/s^2"))
+        >>> vec.shape
+        (2, 1)
+
+        """
+        return self.d2_q.shape[:-1]
+
+    @property
+    def T(self) -> "Self":  # noqa: N802
+        """Transpose the vector's batch axes, preserving the feature axis.
+
+        Examples
+        --------
+        >>> from unxt import Quantity
+        >>> import coordinax as cx
+        >>> vec = cx.CartesianAccelerationND(Quantity([[[1, 2, 3]],
+        ...                                            [[4, 5, 6]]], "m/s^2"))
+        >>> vec.shape
+        (2, 1)
+        >>> vec.T.shape
+        (1, 2)
+
+        """
+        return replace(
+            self,
+            d2_q=qlax.transpose(self.d2_q, (*range(self.ndim)[::-1], self.ndim)),
+        )
+
+    # ===============================================================
+    # Further array methods
+
+    def flatten(self) -> "Self":
+        """Flatten the vector's batch dimensions, preserving the component axis.
+
+        Examples
+        --------
+        >>> from unxt import Quantity
+        >>> import coordinax as cx
+        >>> vec = cx.CartesianAccelerationND(Quantity([[[1, 2, 3]],
+        ...                                            [[4, 5, 6]]], "m/s^2"))
+        >>> vec.shape
+        (2, 1)
+
+        >>> vec.flatten().shape
+        (2,)
+
+        """
+        return replace(
+            self, d2_q=qnp.reshape(self.d2_q, (self.size, self.d2_q.shape[-1]), "C")
+        )
+
+    def reshape(self, *shape: Any, order: str = "C") -> "Self":
+        """Reshape the vector.
+
+        Examples
+        --------
+        >>> from unxt import Quantity
+        >>> import coordinax as cx
+        >>> vec = cx.CartesianAccelerationND(Quantity([1, 2, 3], "m/s^2"))
+        >>> vec.shape
+        ()
+
+        >>> vec.reshape(1, 1).shape
+        (1, 1)
+
+        """
+        return replace(
+            self, d2_q=self.d2_q.reshape(*shape, self.d2_q.shape[-1], order=order)
+        )

src/coordinax/_dn/cartesian.py

@@ -1,13 +1,10 @@
 """Built-in vector classes."""
 
-__all__ = [
-    "CartesianPositionND",
-    "CartesianVelocityND",
-]
+__all__ = ["CartesianPositionND", "CartesianVelocityND", "CartesianAccelerationND"]
 
 from dataclasses import replace
 from functools import partial
-from typing import final
+from typing import NoReturn, final
 from typing_extensions import override
 
 import equinox as eqx
@@ -20,7 +17,7 @@
 from unxt import Quantity
 
 import coordinax._typing as ct
-from .base import AbstractPositionND, AbstractPositionNDDifferential
+from .base import AbstractAccelerationND, AbstractPositionND, AbstractVelocityND
 from coordinax._base import AbstractVector
 from coordinax._base_pos import AbstractPosition
 from coordinax._utils import classproperty
@@ -233,7 +230,7 @@
 
 
 @final
-class CartesianVelocityND(AbstractPositionNDDifferential):
+class CartesianVelocityND(AbstractVelocityND):
     """Cartesian differential representation.
 
     Examples
@@ -300,8 +297,7 @@
     @classproperty
     @classmethod
     def differential_cls(cls) -> type["CartesianAccelerationND"]:
-        msg = "Not yet supported"
-        raise NotImplementedError(msg)  # TODO: Implement this
+        return CartesianAccelerationND
 
     @partial(jax.jit)
     def norm(self, _: AbstractPositionND | None = None, /) -> ct.BatchableSpeed:
@@ -320,3 +316,121 @@
 
         """
         return xp.linalg.vector_norm(self.d_q, axis=-1)
+
+
+##############################################################################
+# Acceleration
+
+
+@final
+class CartesianAccelerationND(AbstractAccelerationND):
+    """Cartesian N-dimensional acceleration representation.
+
+    Examples
+    --------
+    >>> from unxt import Quantity
+    >>> import coordinax as cx
+
+    A 1D vector:
+
+    >>> q = cx.CartesianAccelerationND(Quantity([[1]], "km/s2"))
+    >>> q.d2_q
+    Quantity['acceleration'](Array([[1.]], dtype=float32), unit='km / s2')
+    >>> q.shape
+    (1,)
+
+    A 2D vector:
+
+    >>> q = cx.CartesianAccelerationND(Quantity([1, 2], "km/s2"))
+    >>> q.d2_q
+    Quantity['acceleration'](Array([1., 2.], dtype=float32), unit='km / s2')
+    >>> q.shape
+    ()
+
+    A 3D vector:
+
+    >>> q = cx.CartesianAccelerationND(Quantity([1, 2, 3], "km/s2"))
+    >>> q.d2_q
+    Quantity['acceleration'](Array([1., 2., 3.], dtype=float32), unit='km / s2')
+    >>> q.shape
+    ()
+
+    A 4D vector:
+
+    >>> q = cx.CartesianAccelerationND(Quantity([1, 2, 3, 4], "km/s2"))
+    >>> q.d2_q
+    Quantity['acceleration'](Array([1., 2., 3., 4.], dtype=float32), unit='km / s2')
+    >>> q.shape
+    ()
+
+    A 5D vector:
+
+    >>> q = cx.CartesianAccelerationND(Quantity([1, 2, 3, 4, 5], "km/s2"))
+    >>> q.d2_q
+    Quantity['acceleration'](Array([1., 2., 3., 4., 5.], dtype=float32), unit='km / s2')
+    >>> q.shape
+    ()
+
+    """
+
+    d2_q: ct.BatchableAcc = eqx.field(
+        converter=partial(Quantity["acceleration"].constructor, dtype=float)
+    )
+    r"""N-D acceleration :math:`d\vec{x}/dt^2 \in (-\infty, \infty).
+
+    Should have shape (*batch, F) where F is the number of features /
+    dimensions. Arbitrary batch shapes are supported.
+    """
+
+    @classproperty
+    @classmethod
+    def integral_cls(cls) -> type[CartesianVelocityND]:
+        """Return the integral class.
+
+        Examples
+        --------
+        >>> import coordinax as cx
+        >>> cx.CartesianAccelerationND.integral_cls.__name__
+        'CartesianVelocityND'
+
+        """
+        return CartesianVelocityND
+
+    @classproperty
+    @classmethod
+    def differential_cls(cls) -> NoReturn:
+        """Return the differential class.
+
+        Examples
+        --------
+        >>> import coordinax as cx
+        >>> try: cx.CartesianAccelerationND.differential_cls
+        ... except NotImplementedError as e: print(e)
+        Not yet supported
+
+        """
+        msg = "Not yet supported"
+        raise NotImplementedError(msg)  # TODO: Implement this
+
+    @partial(jax.jit)
+    def norm(
+        self,
+        velocity: AbstractVelocityND | None = None,  # noqa: ARG002
+        position: AbstractPositionND | None = None,  # noqa: ARG002
+        /,
+    ) -> ct.BatchableSpeed:
+        """Return the norm of the vector.
+
+        Examples
+        --------
+        >>> from unxt import Quantity
+        >>> import coordinax as cx
+
+        A 3D vector:
+
+        >>> c = cx.CartesianAccelerationND(Quantity([1, 2, 3], "km/s2"))
+        >>> c.norm()
+        Quantity['acceleration'](Array(3.7416575, dtype=float32), unit='km / s2')
+
+        """
+        return xp.linalg.vector_norm(self.d2_q, axis=-1)