# Path: fedjax/core/util.py
# def safe_div(a, b):
#   def __getattr__(self, _):
# def import_tf():
# class FakeTensorFlowModule:


from absl.testing import absltest
from fedjax.core import util
import jax
import jax.numpy as jnp
import numpy.testing as npt
# 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
#
#      http://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.
"""Tests for util."""


jax.config.update('jax_debug_nans', True)


class UtilsTest(absltest.TestCase):

  def test_safe_div(self):
    # Safe division by zero.
    npt.assert_array_equal(
        util.safe_div(jnp.array([1, 2, 3]), jnp.array([0, 1, 2])), [0, 2, 1.5])
    # Safe gradient when division by zero.

# Path: fedjax/core/util.py
# def safe_div(a, b):
#   def __getattr__(self, _):
# def import_tf():
# class FakeTensorFlowModule:


# Path: fedjax/core/util_test.py
from absl.testing import absltest
from fedjax.core import util
import jax
import jax.numpy as jnp
import numpy.testing as npt

# 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
#
#      http://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.
"""Tests for util."""


jax.config.update('jax_debug_nans', True)


class UtilsTest(absltest.TestCase):

  def test_safe_div(self):
    # Safe division by zero.
    npt.assert_array_equal(
        util.safe_div(jnp.array([1, 2, 3]), jnp.array([0, 1, 2])), [0, 2, 1.5])
    # Safe gradient when division by zero.

    grad = jax.grad(lambda xy: jnp.sum(util.safe_div(xy[0], xy[1])))