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diff --git a/tensorflow/contrib/autograph/converters/return_statements_test.py b/tensorflow/contrib/autograph/converters/return_statements_test.py
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+# Copyright 2017 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 return_statements module."""
+
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+
+from tensorflow.contrib.autograph.converters import return_statements
+from tensorflow.contrib.autograph.core import converter_testing
+from tensorflow.python.framework import ops
+from tensorflow.python.platform import test
+
+
+class SingleReturnTest(converter_testing.TestCase):
+
+ def assertTransformedEquivalent(self, test_fn, *inputs):
+ ns = {'ops': ops}
+ with self.converted(test_fn, return_statements, ns) as result:
+ self.assertEqual(test_fn(*inputs), result.test_fn(*inputs))
+
+ def test_straightline(self):
+
+ def test_fn(x):
+ return x * x
+
+ self.assertTransformedEquivalent(test_fn, 2)
+
+ def test_conditional(self):
+
+ def test_fn(x):
+ if x > 0:
+ return x
+ else:
+ return x * x
+
+ self.assertTransformedEquivalent(test_fn, 2)
+ self.assertTransformedEquivalent(test_fn, -2)
+
+ def test_missing_orelse(self):
+
+ def test_fn(x):
+ if x > 0:
+ return x
+
+ node, ctx = self.prepare(test_fn, {})
+ with self.assertRaises(ValueError):
+ return_statements.transform(node, ctx)
+
+ def test_missing_orelse_recovrable(self):
+
+ def test_fn(x):
+ if x > 0:
+ return x
+ return x * x
+
+ self.assertTransformedEquivalent(test_fn, 2)
+ self.assertTransformedEquivalent(test_fn, -2)
+
+ def test_missing_branch_return_recoverable(self):
+
+ def test_fn(x):
+ if x < 0:
+ x *= x
+ else:
+ return x
+ return x
+
+ self.assertTransformedEquivalent(test_fn, 2)
+ self.assertTransformedEquivalent(test_fn, -2)
+
+ def test_conditional_nested(self):
+
+ def test_fn(x):
+ if x > 0:
+ if x < 5:
+ return x
+ else:
+ return x * x
+ else:
+ return x * x * x
+
+ self.assertTransformedEquivalent(test_fn, 2)
+ self.assertTransformedEquivalent(test_fn, -2)
+ self.assertTransformedEquivalent(test_fn, 5)
+
+ def test_context_manager(self):
+
+ def test_fn(x):
+ with ops.name_scope(''):
+ return x * x
+
+ self.assertTransformedEquivalent(test_fn, 2)
+ self.assertTransformedEquivalent(test_fn, -2)
+
+ def test_context_manager_in_conditional(self):
+
+ def test_fn(x):
+ if x > 0:
+ with ops.name_scope(''):
+ return x * x
+ else:
+ return x
+
+ self.assertTransformedEquivalent(test_fn, 2)
+ self.assertTransformedEquivalent(test_fn, -2)
+
+ def text_conditional_in_context_manager(self):
+
+ def test_fn(x):
+ with ops.name_scope(''):
+ if x > 0:
+ return x * x
+ else:
+ return x
+
+ self.assertTransformedEquivalent(test_fn, 2)
+ self.assertTransformedEquivalent(test_fn, -2)
+
+ def test_no_return(self):
+
+ def test_fn(x):
+ x *= x
+
+ self.assertTransformedEquivalent(test_fn, 2)
+
+ def test_nested_functions(self):
+
+ def test_fn(x):
+
+ def inner_fn(y):
+ if y > 0:
+ return y * y
+ else:
+ return y
+
+ return inner_fn(x)
+
+ self.assertTransformedEquivalent(test_fn, 2)
+ self.assertTransformedEquivalent(test_fn, -2)
+
+ def test_loop(self):
+
+ def test_fn(x):
+ for _ in range(10):
+ return x
+ return x
+
+ node, ctx = self.prepare(test_fn, {})
+ with self.assertRaises(ValueError):
+ return_statements.transform(node, ctx)
+
+
+if __name__ == '__main__':
+ test.main()