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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 pretty_printer module."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import ast
from tensorflow.python.autograph.pyct import pretty_printer
from tensorflow.python.platform import test
class PrettyPrinterTest(test.TestCase):
def test_format(self):
node = ast.FunctionDef(
name='f',
args=ast.arguments(
args=[ast.Name(id='a', ctx=ast.Param())],
vararg=None,
kwarg=None,
defaults=[]),
body=[
ast.Return(
ast.BinOp(
op=ast.Add(),
left=ast.Name(id='a', ctx=ast.Load()),
right=ast.Num(1)))
],
decorator_list=[],
returns=None)
# Just checking for functionality, the color control characters make it
# difficult to inspect the result.
self.assertIsNotNone(pretty_printer.fmt(node))
if __name__ == '__main__':
test.main()
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