Apply quality and style requirements once again

src/transformers/__init__.py

@@ -31,6 +31,7 @@
 from .configuration_roberta import ROBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP, RobertaConfig
 from .configuration_t5 import T5_PRETRAINED_CONFIG_ARCHIVE_MAP, T5Config
 from .configuration_transfo_xl import TRANSFO_XL_PRETRAINED_CONFIG_ARCHIVE_MAP, TransfoXLConfig
+
 # Configurations
 from .configuration_utils import PretrainedConfig
 from .configuration_xlm import XLM_PRETRAINED_CONFIG_ARCHIVE_MAP, XLMConfig
@@ -55,6 +56,7 @@
     xnli_processors,
     xnli_tasks_num_labels,
 )
+
 # Files and general utilities
 from .file_utils import (
     CONFIG_NAME,
@@ -71,8 +73,10 @@
     is_tf_available,
     is_torch_available,
 )
+
 # Model Cards
 from .modelcard import ModelCard
+
 # TF 2.0 <=> PyTorch conversion utilities
 from .modeling_tf_pytorch_utils import (
     convert_tf_weight_name_to_pt_weight_name,
@@ -83,6 +87,7 @@
     load_tf2_model_in_pytorch_model,
     load_tf2_weights_in_pytorch_model,
 )
+
 # Pipelines
 from .pipelines import (
     CsvPipelineDataFormat,
@@ -108,6 +113,7 @@
 from .tokenization_roberta import RobertaTokenizer
 from .tokenization_t5 import T5Tokenizer
 from .tokenization_transfo_xl import TransfoXLCorpus, TransfoXLTokenizer
+
 # Tokenizers
 from .tokenization_utils import PreTrainedTokenizer
 from .tokenization_xlm import XLMTokenizer

src/transformers/modeling_tf_camembert.py

@@ -30,8 +30,7 @@
 
 logger = logging.getLogger(__name__)
 
-TF_CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_MAP = {
-}
+TF_CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_MAP = {}
 
 
 CAMEMBERT_START_DOCSTRING = r"""    The CamemBERT model was proposed in

templates/adding_a_new_example_script/run_xxx.py

@@ -52,6 +52,7 @@
     write_predictions,
     write_predictions_extended,
 )
+
 # The follwing import is the official SQuAD evaluation script (2.0).
 # You can remove it from the dependencies if you are using this script outside of the library
 # We've added it here for automated tests (see examples/test_examples.py file)

templates/adding_a_new_example_script/utils_xxx.py

@@ -21,6 +21,7 @@
 import math
 
 from transformers.tokenization_bert import BasicTokenizer, whitespace_tokenize
+
 # Required by XLNet evaluation method to compute optimal threshold (see write_predictions_extended() method)
 from utils_squad_evaluate import find_all_best_thresh_v2, get_raw_scores, make_qid_to_has_ans