# Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""tree_math.Vector compatible wrappers of jax.numpy."""

import functools

from jax import tree_util
import jax.numpy as jnp
from tree_math._src import vector


matmul = dot = vector.dot


def where(condition, x, y):
  """Tree math compatible version of jnp.where."""
  return vector.broadcasting_map(jnp.where, condition, x, y)


zeros_like = functools.partial(tree_util.tree_map, jnp.zeros_like)
ones_like = functools.partial(tree_util.tree_map, jnp.ones_like)


def full_like(x, *args, **kwargs):
  return tree_util.tree_map(lambda y: jnp.full_like(y, *args, **kwargs), x)


maximum = functools.partial(vector.broadcasting_map, jnp.maximum)
minimum = functools.partial(vector.broadcasting_map, jnp.minimum)
square = functools.partial(vector.broadcasting_map, jnp.square)
