# Copyright 2018 The TensorFlow Probability Authors.
#
# 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.
# ============================================================================
"""Experimental Numpy backend."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

# Dependency imports

import tensorflow.compat.v2 as tf

from tensorflow_probability.python.internal.backend.numpy import _utils as utils


__all__ = [
    'Assert',
    'check_numerics',
]


Assert = utils.copy_docstring(  # pylint: disable=invalid-name
    tf.debugging.Assert,
    lambda condition, data, summarize=None, name=None: None)


check_numerics = utils.copy_docstring(
    tf.debugging.check_numerics,
    lambda x, *_, **__: x
)
