Sort imports with isort.

This is the result of:

    $ isort --recursive examples templates transformers utils hubconf.py setup.py

transformers/tests/optimization_tf_test.py

-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
+from __future__ import absolute_import, division, print_function
 
 import unittest
 
@@ -8,6 +6,7 @@ from transformers import is_tf_available
 
 from .utils import require_tf
 
+
 if is_tf_available():
     import tensorflow as tf
     from tensorflow.python.eager import context

transformers/tests/pipelines_test.py

 import unittest
-
 from typing import Iterable
 
 from transformers import pipeline
 from transformers.tests.utils import require_tf, require_torch
 
+
 QA_FINETUNED_MODELS = {
     ("bert-base-uncased", "bert-large-uncased-whole-word-masking-finetuned-squad", None),
     ("bert-base-cased", "bert-large-cased-whole-word-masking-finetuned-squad", None),

transformers/tests/tokenization_albert_test.py

@@ -17,10 +17,11 @@ from __future__ import absolute_import, division, print_function, unicode_litera
 import os
 import unittest
 
-from transformers.tokenization_albert import AlbertTokenizer, SPIECE_UNDERLINE
+from transformers.tokenization_albert import SPIECE_UNDERLINE, AlbertTokenizer
 
 from .tokenization_tests_commons import CommonTestCases
 
+
 SAMPLE_VOCAB = os.path.join(os.path.dirname(os.path.abspath(__file__)), "fixtures/spiece.model")
 
 

transformers/tests/tokenization_auto_test.py

@@ -12,18 +12,21 @@
 # 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.
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
+from __future__ import absolute_import, division, print_function
 
-import unittest
-import shutil
 import logging
+import shutil
+import unittest
 
-from transformers import AutoTokenizer, BertTokenizer, AutoTokenizer, GPT2Tokenizer
-from transformers import BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, GPT2_PRETRAINED_CONFIG_ARCHIVE_MAP
+from transformers import (
+    BERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
+    GPT2_PRETRAINED_CONFIG_ARCHIVE_MAP,
+    AutoTokenizer,
+    BertTokenizer,
+    GPT2Tokenizer,
+)
 
-from .utils import slow, SMALL_MODEL_IDENTIFIER
+from .utils import SMALL_MODEL_IDENTIFIER, slow
 
 
 class AutoTokenizerTest(unittest.TestCase):

transformers/tests/tokenization_bert_japanese_test.py

@@ -20,14 +20,14 @@ from io import open
 
 from transformers.tokenization_bert import WordpieceTokenizer
 from transformers.tokenization_bert_japanese import (
+    VOCAB_FILES_NAMES,
     BertJapaneseTokenizer,
-    MecabTokenizer,
     CharacterTokenizer,
-    VOCAB_FILES_NAMES,
+    MecabTokenizer,
 )
 
 from .tokenization_tests_commons import CommonTestCases
-from .utils import slow, custom_tokenizers
+from .utils import custom_tokenizers, slow
 
 
 @custom_tokenizers

transformers/tests/tokenization_bert_test.py

@@ -19,13 +19,13 @@ import unittest
 from io import open
 
 from transformers.tokenization_bert import (
+    VOCAB_FILES_NAMES,
     BasicTokenizer,
     BertTokenizer,
     WordpieceTokenizer,
     _is_control,
     _is_punctuation,
     _is_whitespace,
-    VOCAB_FILES_NAMES,
 )
 
 from .tokenization_tests_commons import CommonTestCases

transformers/tests/tokenization_ctrl_test.py

@@ -13,12 +13,12 @@
 # limitations under the License.
 from __future__ import absolute_import, division, print_function, unicode_literals
 
+import json
 import os
 import unittest
-import json
 from io import open
 
-from transformers.tokenization_ctrl import CTRLTokenizer, VOCAB_FILES_NAMES
+from transformers.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer
 
 from .tokenization_tests_commons import CommonTestCases
 

transformers/tests/tokenization_distilbert_test.py

@@ -20,8 +20,8 @@ from io import open
 
 from transformers.tokenization_distilbert import DistilBertTokenizer
 
-from .tokenization_tests_commons import CommonTestCases
 from .tokenization_bert_test import BertTokenizationTest
+from .tokenization_tests_commons import CommonTestCases
 from .utils import slow
 
 

transformers/tests/tokenization_gpt2_test.py

@@ -14,12 +14,12 @@
 # limitations under the License.
 from __future__ import absolute_import, division, print_function, unicode_literals
 
+import json
 import os
 import unittest
-import json
 from io import open
 
-from transformers.tokenization_gpt2 import GPT2Tokenizer, VOCAB_FILES_NAMES
+from transformers.tokenization_gpt2 import VOCAB_FILES_NAMES, GPT2Tokenizer
 
 from .tokenization_tests_commons import CommonTestCases
 

transformers/tests/tokenization_openai_test.py

@@ -14,11 +14,11 @@
 # limitations under the License.
 from __future__ import absolute_import, division, print_function, unicode_literals
 
+import json
 import os
 import unittest
-import json
 
-from transformers.tokenization_openai import OpenAIGPTTokenizer, VOCAB_FILES_NAMES
+from transformers.tokenization_openai import VOCAB_FILES_NAMES, OpenAIGPTTokenizer
 
 from .tokenization_tests_commons import CommonTestCases
 

transformers/tests/tokenization_roberta_test.py

@@ -14,12 +14,13 @@
 # limitations under the License.
 from __future__ import absolute_import, division, print_function, unicode_literals
 
-import os
 import json
+import os
 import unittest
 from io import open
 
-from transformers.tokenization_roberta import RobertaTokenizer, VOCAB_FILES_NAMES
+from transformers.tokenization_roberta import VOCAB_FILES_NAMES, RobertaTokenizer
+
 from .tokenization_tests_commons import CommonTestCases
 from .utils import slow
 

transformers/tests/tokenization_t5_test.py

@@ -22,6 +22,7 @@ from transformers.tokenization_xlnet import SPIECE_UNDERLINE
 
 from .tokenization_tests_commons import CommonTestCases
 
+
 SAMPLE_VOCAB = os.path.join(os.path.dirname(os.path.abspath(__file__)), "fixtures/test_sentencepiece.model")
 
 

transformers/tests/tokenization_tests_commons.py

@@ -15,11 +15,12 @@
 from __future__ import absolute_import, division, print_function, unicode_literals
 
 import os
+import shutil
 import sys
-from io import open
 import tempfile
-import shutil
 import unittest
+from io import open
+
 
 if sys.version_info[0] == 2:
     import cPickle as pickle

transformers/tests/tokenization_transfo_xl_test.py

@@ -20,13 +20,14 @@ from io import open
 
 from transformers import is_torch_available
 
+from .tokenization_tests_commons import CommonTestCases
+from .utils import require_torch
+
+
 if is_torch_available():
     import torch
     from transformers.tokenization_transfo_xl import TransfoXLTokenizer, VOCAB_FILES_NAMES
 
-from .tokenization_tests_commons import CommonTestCases
-from .utils import require_torch
-
 
 @require_torch
 class TransfoXLTokenizationTest(CommonTestCases.CommonTokenizerTester):

transformers/tests/tokenization_utils_test.py

@@ -12,11 +12,10 @@
 # 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.
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
+from __future__ import absolute_import, division, print_function
 
 import unittest
+
 import six
 
 from transformers import PreTrainedTokenizer

transformers/tests/tokenization_xlm_test.py

@@ -14,11 +14,11 @@
 # limitations under the License.
 from __future__ import absolute_import, division, print_function, unicode_literals
 
+import json
 import os
 import unittest
-import json
 
-from transformers.tokenization_xlm import XLMTokenizer, VOCAB_FILES_NAMES
+from transformers.tokenization_xlm import VOCAB_FILES_NAMES, XLMTokenizer
 
 from .tokenization_tests_commons import CommonTestCases
 from .utils import slow

transformers/tests/tokenization_xlnet_test.py

@@ -17,11 +17,12 @@ from __future__ import absolute_import, division, print_function, unicode_litera
 import os
 import unittest
 
-from transformers.tokenization_xlnet import XLNetTokenizer, SPIECE_UNDERLINE
+from transformers.tokenization_xlnet import SPIECE_UNDERLINE, XLNetTokenizer
 
 from .tokenization_tests_commons import CommonTestCases
 from .utils import slow
 
+
 SAMPLE_VOCAB = os.path.join(os.path.dirname(os.path.abspath(__file__)), "fixtures/test_sentencepiece.model")
 
 

transformers/tests/utils.py

 import os
-import unittest
 import tempfile
-
+import unittest
 from distutils.util import strtobool
 
 from transformers.file_utils import _tf_available, _torch_available

transformers/tokenization_albert.py

@@ -15,13 +15,16 @@
 """ Tokenization classes for ALBERT model."""
 from __future__ import absolute_import, division, print_function, unicode_literals
 
-from .tokenization_utils import PreTrainedTokenizer
 import logging
-import unicodedata
-import six
 import os
+import unicodedata
 from shutil import copyfile
 
+import six
+
+from .tokenization_utils import PreTrainedTokenizer
+
+
 logger = logging.getLogger(__name__)
 VOCAB_FILES_NAMES = {"vocab_file": "spiece.model"}
 

transformers/tokenization_auto.py

@@ -18,20 +18,21 @@ from __future__ import absolute_import, division, print_function, unicode_litera
 
 import logging
 
+from .tokenization_albert import AlbertTokenizer
 from .tokenization_bert import BertTokenizer
 from .tokenization_bert_japanese import BertJapaneseTokenizer
-from .tokenization_openai import OpenAIGPTTokenizer
-from .tokenization_gpt2 import GPT2Tokenizer
+from .tokenization_camembert import CamembertTokenizer
 from .tokenization_ctrl import CTRLTokenizer
-from .tokenization_transfo_xl import TransfoXLTokenizer
-from .tokenization_xlnet import XLNetTokenizer
-from .tokenization_xlm import XLMTokenizer
-from .tokenization_roberta import RobertaTokenizer
 from .tokenization_distilbert import DistilBertTokenizer
-from .tokenization_camembert import CamembertTokenizer
-from .tokenization_albert import AlbertTokenizer
+from .tokenization_gpt2 import GPT2Tokenizer
+from .tokenization_openai import OpenAIGPTTokenizer
+from .tokenization_roberta import RobertaTokenizer
 from .tokenization_t5 import T5Tokenizer
+from .tokenization_transfo_xl import TransfoXLTokenizer
+from .tokenization_xlm import XLMTokenizer
 from .tokenization_xlm_roberta import XLMRobertaTokenizer
+from .tokenization_xlnet import XLNetTokenizer
+
 
 logger = logging.getLogger(__name__)