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975dae34a4
Expose the current implementation of jax.numpy.trapz as jax.scipy.integrate.trapezoid instead. Fixes https://github.com/google/jax/issues/17244
45 lines
1.5 KiB
Python
45 lines
1.5 KiB
Python
# Copyright 2023 The JAX Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# https://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from __future__ import annotations
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from functools import partial
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import scipy.integrate
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from jax import jit
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from jax._src.numpy import util
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from jax._src.typing import Array, ArrayLike
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import jax.numpy as jnp
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@util._wraps(scipy.integrate.trapezoid)
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@partial(jit, static_argnames=('axis',))
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def trapezoid(y: ArrayLike, x: ArrayLike | None = None, dx: ArrayLike = 1.0,
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axis: int = -1) -> Array:
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# TODO(phawkins): remove this annotation after fixing jnp types.
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dx_array: Array
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if x is None:
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util.check_arraylike('trapz', y)
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y_arr, = util.promote_dtypes_inexact(y)
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dx_array = jnp.asarray(dx)
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else:
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util.check_arraylike('trapz', y, x)
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y_arr, x_arr = util.promote_dtypes_inexact(y, x)
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if x_arr.ndim == 1:
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dx_array = jnp.diff(x_arr)
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else:
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dx_array = jnp.moveaxis(jnp.diff(x_arr, axis=axis), axis, -1)
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y_arr = jnp.moveaxis(y_arr, axis, -1)
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return 0.5 * (dx_array * (y_arr[..., 1:] + y_arr[..., :-1])).sum(-1)
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