text: # 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
  
  from tensorflow_probability.python.internal.backend.numpy import __internal__
  from tensorflow_probability.python.internal.backend.numpy import bitwise
  from tensorflow_probability.python.internal.backend.numpy import compat
  from tensorflow_probability.python.internal.backend.numpy import config
  from tensorflow_probability.python.internal.backend.numpy import debugging
  from tensorflow_probability.python.internal.backend.numpy import dtype as dtypes
  from tensorflow_probability.python.internal.backend.numpy import errors
  from tensorflow_probability.python.internal.backend.numpy import keras
  from tensorflow_probability.python.internal.backend.numpy import linalg
  from tensorflow_probability.python.internal.backend.numpy import nest
  from tensorflow_probability.python.internal.backend.numpy import nn
  from tensorflow_probability.python.internal.backend.numpy import numpy_array as array
  from tensorflow_probability.python.internal.backend.numpy import numpy_logging as logging
  from tensorflow_probability.python.internal.backend.numpy import numpy_math as math
  from tensorflow_probability.python.internal.backend.numpy import numpy_signal as signal
  from tensorflow_probability.python.internal.backend.numpy import random_generators as random
  from tensorflow_probability.python.internal.backend.numpy import raw_ops
  from tensorflow_probability.python.internal.backend.numpy import sets_lib as sets
  from tensorflow_probability.python.internal.backend.numpy import sparse_lib as sparse
  from tensorflow_probability.python.internal.backend.numpy import test_lib as test
  from tensorflow_probability.python.internal.backend.numpy.control_flow import *  # pylint: disable=wildcard-import
  from tensorflow_probability.python.internal.backend.numpy.dtype import *  # pylint: disable=wildcard-import
  from tensorflow_probability.python.internal.backend.numpy.functional_ops import *  # pylint: disable=wildcard-import
  from tensorflow_probability.python.internal.backend.numpy.gen.tensor_shape import TensorShape
  from tensorflow_probability.python.internal.backend.numpy.misc import *  # pylint: disable=wildcard-import
  from tensorflow_probability.python.internal.backend.numpy.numpy_array import *  # pylint: disable=wildcard-import
  from tensorflow_probability.python.internal.backend.numpy.numpy_math import *  # pylint: disable=wildcard-import
  from tensorflow_probability.python.internal.backend.numpy.ops import *  # pylint: disable=wildcard-import
  
  
  Assert = debugging.Assert
  Module = compat.v2.Module
  TensorArray = compat.v2.TensorArray
  Variable = compat.v2.Variable
  check_numerics = debugging.check_numerics
  eye = linalg.eye
  function = compat.function
  matmul = linalg.matmul
  