


'''simple docstring'''

import contextlib
import importlib
import io
import unittest

import transformers

# Try to import everything from transformers to ensure every object can be loaded.
from transformers import *  # noqa F406
from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER, require_flax, require_tf, require_torch
from transformers.utils import ContextManagers, find_labels, is_flax_available, is_tf_available, is_torch_available


if is_torch_available():
 from transformers import BertForPreTraining, BertForQuestionAnswering, BertForSequenceClassification

if is_tf_available():
 from transformers import TFBertForPreTraining, TFBertForQuestionAnswering, TFBertForSequenceClassification

if is_flax_available():
 from transformers import FlaxBertForPreTraining, FlaxBertForQuestionAnswering, FlaxBertForSequenceClassification


lowerCamelCase				:  List[Any]    		=      DUMMY_UNKNOWN_IDENTIFIER
# An actual model hosted on huggingface.co

lowerCamelCase				:  Any    		=      'main'
# Default branch name
lowerCamelCase				:  Optional[int]    		=      'f2c752cfc5c0ab6f4bdec59acea69eefbee381c2'
# One particular commit (not the top of `main`)
lowerCamelCase				:  List[str]    		=      'aaaaaaa'
# This commit does not exist, so we should 404.

lowerCamelCase				:  Optional[int]    		=      'd9e9f15bc825e4b2c9249e9578f884bbcb5e3684'
# Sha-1 of config.json on the top of `main`, for checking purposes
lowerCamelCase				:  Union[str, Any]    		=      '4b243c475af8d0a7754e87d7d096c92e5199ec2fe168a2ee7998e3b8e9bcb1d3'

@contextlib.contextmanager
def _SCREAMING_SNAKE_CASE ()			->			Optional[int]:






       """simple docstring"""







       print('''Welcome!'''			)
       yield
       print('''Bye!'''			)

@contextlib.contextmanager
def _SCREAMING_SNAKE_CASE ()			->			str:






       """simple docstring"""







       print('''Bonjour!'''			)
       yield
       print('''Au revoir!'''			)
class     __lowerCAmelCase		(unittest.TestCase	):





      '''simple docstring'''






      def  UpperCamelCase__						(self       :       int					):

             '''simple docstring'''







             assert transformers.__spec__ is not None
             assert importlib.util.find_spec('''transformers'''					) is not None






class     __lowerCAmelCase		(unittest.TestCase	):





      '''simple docstring'''






      @unittest.mock.patch('''sys.stdout'''  ,		new_callable=io.StringIO					)
      def  UpperCamelCase__						(self       :       List[str]  ,		UpperCamelCase       :       Optional[int]					):

             '''simple docstring'''







             with ContextManagers([]					):
                    print('''Transformers are awesome!'''					)
             # The print statement adds a new line at the end of the output
             self.assertEqual(mock_stdout.getvalue()  ,		'''Transformers are awesome!\n'''					)



      @unittest.mock.patch('''sys.stdout'''  ,		new_callable=io.StringIO					)
      def  UpperCamelCase__						(self       :       Union[str, Any]  ,		UpperCamelCase       :       Dict					):

             '''simple docstring'''







             with ContextManagers([context_en()]					):
                    print('''Transformers are awesome!'''					)
             # The output should be wrapped with an English welcome and goodbye
             self.assertEqual(mock_stdout.getvalue()  ,		'''Welcome!\nTransformers are awesome!\nBye!\n'''					)



      @unittest.mock.patch('''sys.stdout'''  ,		new_callable=io.StringIO					)
      def  UpperCamelCase__						(self       :       Dict  ,		UpperCamelCase       :       Dict					):

             '''simple docstring'''







             with ContextManagers([context_fr(), context_en()]					):
                    print('''Transformers are awesome!'''					)
             # The output should be wrapped with an English and French welcome and goodbye
             self.assertEqual(mock_stdout.getvalue()  ,		'''Bonjour!\nWelcome!\nTransformers are awesome!\nBye!\nAu revoir!\n'''					)



      @require_torch
      def  UpperCamelCase__						(self       :       int					):

             '''simple docstring'''







             self.assertEqual(find_labels(UpperCamelCase					)  ,		['''labels''']					)
             self.assertEqual(find_labels(UpperCamelCase					)  ,		['''labels''', '''next_sentence_label''']					)
             self.assertEqual(find_labels(UpperCamelCase					)  ,		['''start_positions''', '''end_positions''']					)
             class     __lowerCAmelCase		(lowercase_	):





                   '''simple docstring'''






                   pass






             self.assertEqual(find_labels(UpperCamelCase					)  ,		['''labels''']					)



      @require_tf
      def  UpperCamelCase__						(self       :       Dict					):

             '''simple docstring'''







             self.assertEqual(find_labels(UpperCamelCase					)  ,		['''labels''']					)
             self.assertEqual(find_labels(UpperCamelCase					)  ,		['''labels''', '''next_sentence_label''']					)
             self.assertEqual(find_labels(UpperCamelCase					)  ,		['''start_positions''', '''end_positions''']					)
             class     __lowerCAmelCase		(lowercase_	):





                   '''simple docstring'''






                   pass






             self.assertEqual(find_labels(UpperCamelCase					)  ,		['''labels''']					)






      @require_flax
      def  UpperCamelCase__						(self       :       Dict					):

             '''simple docstring'''







             self.assertEqual(find_labels(UpperCamelCase					)  ,		[]					)
             self.assertEqual(find_labels(UpperCamelCase					)  ,		[]					)
             self.assertEqual(find_labels(UpperCamelCase					)  ,		[]					)
             class     __lowerCAmelCase		(lowercase_	):





                   '''simple docstring'''






                   pass






             self.assertEqual(find_labels(UpperCamelCase					)  ,		[]					)








'''simple docstring'''

from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


lowerCamelCase				:  Tuple    		=      {
    'configuration_distilbert': [
        'DISTILBERT_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'DistilBertConfig',
        'DistilBertOnnxConfig',
    ],
    'tokenization_distilbert': ['DistilBertTokenizer'],
}

try:
 if not is_tokenizers_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase				:  str    		=      ['DistilBertTokenizerFast']

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase				:  List[str]    		=      [
     'DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST',
     'DistilBertForMaskedLM',
     'DistilBertForMultipleChoice',
     'DistilBertForQuestionAnswering',
     'DistilBertForSequenceClassification',
     'DistilBertForTokenClassification',
     'DistilBertModel',
     'DistilBertPreTrainedModel',
 ]

try:
 if not is_tf_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase				:  Union[str, Any]    		=      [
     'TF_DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST',
     'TFDistilBertForMaskedLM',
     'TFDistilBertForMultipleChoice',
     'TFDistilBertForQuestionAnswering',
     'TFDistilBertForSequenceClassification',
     'TFDistilBertForTokenClassification',
     'TFDistilBertMainLayer',
     'TFDistilBertModel',
     'TFDistilBertPreTrainedModel',
 ]

try:
 if not is_flax_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase				:  str    		=      [
     'FlaxDistilBertForMaskedLM',
     'FlaxDistilBertForMultipleChoice',
     'FlaxDistilBertForQuestionAnswering',
     'FlaxDistilBertForSequenceClassification',
     'FlaxDistilBertForTokenClassification',
     'FlaxDistilBertModel',
     'FlaxDistilBertPreTrainedModel',
 ]


if TYPE_CHECKING:
 from .configuration_distilbert import (
     DISTILBERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
     DistilBertConfig,
     DistilBertOnnxConfig,
 )
 from .tokenization_distilbert import DistilBertTokenizer

 try:
  if not is_tokenizers_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .tokenization_distilbert_fast import DistilBertTokenizerFast

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_distilbert import (
      DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
      DistilBertForMaskedLM,
      DistilBertForMultipleChoice,
      DistilBertForQuestionAnswering,
      DistilBertForSequenceClassification,
      DistilBertForTokenClassification,
      DistilBertModel,
      DistilBertPreTrainedModel,
  )

 try:
  if not is_tf_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_tf_distilbert import (
      TF_DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
      TFDistilBertForMaskedLM,
      TFDistilBertForMultipleChoice,
      TFDistilBertForQuestionAnswering,
      TFDistilBertForSequenceClassification,
      TFDistilBertForTokenClassification,
      TFDistilBertMainLayer,
      TFDistilBertModel,
      TFDistilBertPreTrainedModel,
  )

 try:
  if not is_flax_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_flax_distilbert import (
      FlaxDistilBertForMaskedLM,
      FlaxDistilBertForMultipleChoice,
      FlaxDistilBertForQuestionAnswering,
      FlaxDistilBertForSequenceClassification,
      FlaxDistilBertForTokenClassification,
      FlaxDistilBertModel,
      FlaxDistilBertPreTrainedModel,
  )

else:
 import sys

 lowerCamelCase				:  int    		=      _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




