<commit_before># Copyright 2019, The TensorFlow 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.
"""Tests for differentially private optimizers."""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

from absl.testing import parameterized
import numpy as np
import tensorflow.compat.v1 as tf

from tensorflow_privacy.privacy.analysis import privacy_ledger
from tensorflow_privacy.privacy.dp_query import gaussian_query
from tensorflow_privacy.privacy.optimizers import dp_optimizer


class DPOptimizerEagerTest(tf.test.TestCase, parameterized.TestCase):

  def setUp(self):
    tf.compat.v1.enable_eager_execution()
    super(DPOptimizerEagerTest, self).setUp()

  def _loss_fn(self, val0, val1):<commit_msg>Automated refactoring to make code Python 3 compatible.<commit_after># Copyright 2019, The TensorFlow 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.
"""Tests for differentially private optimizers."""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

from absl.testing import parameterized
import numpy as np
from six.moves import range
import tensorflow.compat.v1 as tf

from tensorflow_privacy.privacy.analysis import privacy_ledger
from tensorflow_privacy.privacy.dp_query import gaussian_query
from tensorflow_privacy.privacy.optimizers import dp_optimizer


class DPOptimizerEagerTest(tf.test.TestCase, parameterized.TestCase):

  def setUp(self):
    tf.compat.v1.enable_eager_execution()
    super(DPOptimizerEagerTest, self).setUp()

  def _loss_fn(self, val0, val1):
{'fraction_non_alphanumeric': 0.06493506493506493, 'fraction_numerical': 0.009549274255156608, 'mean_word_length': 5.26555023923445, 'pattern_counts': {'":': 0, '<': 3, '<?xml version=': 0, '>': 3, 'https://': 0, 'lorem ipsum': 0, 'www.': 2, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '6078951', 'n_tokens_mistral': 730, 'n_tokens_neox': 708, 'n_words': 284}