old_contents: # Copyright 2020 The TensorFlow Authors. All Rights Reserved.
  #
  # 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 script operations."""
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import test_util
  from tensorflow.python.framework import constant_op
  from tensorflow.python.ops import script_ops
  from tensorflow.python.ops.script_ops import numpy_function
  from tensorflow.python.platform import test
  
  
  class NumpyFunctionTest(test.TestCase):
  
    @test_util.run_in_graph_and_eager_modes
    def test_numpy_arguments(self):
  
      def plus(a, b):
        return a + b
  
      actual_result = script_ops.numpy_function(plus, [1, 2], dtypes.int32)
      expect_result = constant_op.constant(3, dtypes.int32)
      self.assertAllEqual(actual_result, expect_result)
  
    def test_stateless_flag(self):
      call_count = 0
  
      def plus(a, b):
        global call_count
        call_count += 1
        return a + b
  
      @def_function.function
      def tensor_plus_stateful(a, b):
        return numpy_function(plus, [a, b], dtypes.int32, stateful=True)
  
      @def_function.function
      def tensor_plus_stateless(a, b):
        return numpy_function(plus, [a, b], dtypes.int32, stateful=False)
  
      @def_function.function(autograph=False)
      def tensor_double_plus_stateless(a, b):
        sum1 = tensor_plus_stateless(a, b)
        sum2 = tensor_plus_stateless(a, b)
        return sum1 + sum2
  
      # different argument
      tensor_double_plus_stateless(
        constant_op.constant(1, dtype=dtypes.int32),
        constant_op.constant(2, dtype=dtypes.int32),
      )
      assert call_count == 1  # +1 as only the first one was executed
  
      @def_function.function(autograph=False)
      def tensor_double_plus_stateful(a, b):
        sum1 = tensor_plus_stateful(a, b)
        sum2 = tensor_plus_stateful(a, b)
        return sum1 + sum2
  
      tensor_double_plus_stateful(
        constant_op.constant(3, dtype=dtypes.int32),
        constant_op.constant(4, dtype=dtypes.int32),
                            )
      assert call_count == 3  # +2 as it is stateful, both were executed
  
  
  
  if __name__ == "__main__":
    test.main()
  
new_contents: # Copyright 2020 The TensorFlow Authors. All Rights Reserved.
  #
  # 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 script operations."""
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import test_util
  from tensorflow.python.framework import constant_op
  from tensorflow.python.ops import script_ops
  from tensorflow.python.ops.script_ops import numpy_function
  from tensorflow.python.platform import test
  
  
  class NumpyFunctionTest(test.TestCase):
  
    @test_util.run_in_graph_and_eager_modes
    def test_numpy_arguments(self):
  
      def plus(a, b):
        return a + b
  
      actual_result = script_ops.numpy_function(plus, [1, 2], dtypes.int32)
      expect_result = constant_op.constant(3, dtypes.int32)
      self.assertAllEqual(actual_result, expect_result)
  
    def test_stateless_flag(self):
      call_count = 0
  
      def plus(a, b):
        global call_count
        call_count += 1
        return a + b
  
      @def_function.function
      def tensor_plus_stateful(a, b):
        return numpy_function(plus, [a, b], dtypes.int32, stateful=True)
  
      @def_function.function
      def tensor_plus_stateless(a, b):
        return numpy_function(plus, [a, b], dtypes.int32, stateful=False)
  
      @def_function.function(autograph=False)
      def tensor_double_plus_stateless(a, b):
        sum1 = tensor_plus_stateless(a, b)
        sum2 = tensor_plus_stateless(a, b)
        return sum1 + sum2
  
      # different argument
      tensor_double_plus_stateless(
        constant_op.constant(1),
        constant_op.constant(2),
      )
      self.assertEqual(call_count, 1)  # +1 as only the first one was executed
  
      @def_function.function(autograph=False)
      def tensor_double_plus_stateful(a, b):
        sum1 = tensor_plus_stateful(a, b)
        sum2 = tensor_plus_stateful(a, b)
        return sum1 + sum2
  
      tensor_double_plus_stateful(
        constant_op.constant(3),
        constant_op.constant(4),
                            )
      self.assertEqual(call_count, 3)  # +2 as it is stateful, both were executed
  
  
  if __name__ == "__main__":
    test.main()
  
subject: remove defaults, use self.asserts