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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 continue_statements module."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.autograph.converters import continue_statements
from tensorflow.python.autograph.core import converter_testing
from tensorflow.python.eager import context as tfe_ctx
from tensorflow.python.framework import constant_op
from tensorflow.python.platform import test
class ContinueCanonicalizationTest(converter_testing.TestCase):
def assertTransformedEquivalent(self, test_fn, *inputs):
with self.converted(test_fn, continue_statements, {},
constant_op.constant) as result:
self.assertEqual(test_fn(*inputs), result.test_fn(*inputs))
def test_basic(self):
def test_fn(x):
v = []
while x > 0:
x -= 1
if x % 2 == 0:
continue
v.append(x)
return v
with tfe_ctx.eager_mode():
self.assertTransformedEquivalent(test_fn, 0)
self.assertTransformedEquivalent(test_fn, 1)
self.assertTransformedEquivalent(test_fn, 3)
self.assertTransformedEquivalent(test_fn, 4)
def test_for_loop(self):
def test_fn(a):
v = []
for x in a:
x -= 1
if x % 2 == 0:
continue
v.append(x)
return v
with tfe_ctx.eager_mode():
self.assertTransformedEquivalent(test_fn, [])
self.assertTransformedEquivalent(test_fn, [1])
self.assertTransformedEquivalent(test_fn, [2])
self.assertTransformedEquivalent(test_fn, [1, 2, 3])
def test_nested(self):
def test_fn(x):
v = []
u = []
w = []
while x > 0:
x -= 1
if x % 2 == 0:
if x % 3 != 0:
u.append(x)
else:
w.append(x)
continue
v.append(x)
return v, u, w
with tfe_ctx.eager_mode():
self.assertTransformedEquivalent(test_fn, 0)
self.assertTransformedEquivalent(test_fn, 1)
self.assertTransformedEquivalent(test_fn, 3)
self.assertTransformedEquivalent(test_fn, 4)
if __name__ == '__main__':
test.main()
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