"""simple docstring"""




from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_a      :		Union[str, Any]           =   logging.get_logger(__name__)

_a      :		str           =   {
    'bert-base-uncased': 'https://huggingface.co/bert-base-uncased/resolve/main/config.json',
    'bert-large-uncased': 'https://huggingface.co/bert-large-uncased/resolve/main/config.json',
    'bert-base-cased': 'https://huggingface.co/bert-base-cased/resolve/main/config.json',
    'bert-large-cased': 'https://huggingface.co/bert-large-cased/resolve/main/config.json',
    'bert-base-multilingual-uncased': 'https://huggingface.co/bert-base-multilingual-uncased/resolve/main/config.json',
    'bert-base-multilingual-cased': 'https://huggingface.co/bert-base-multilingual-cased/resolve/main/config.json',
    'bert-base-chinese': 'https://huggingface.co/bert-base-chinese/resolve/main/config.json',
    'bert-base-german-cased': 'https://huggingface.co/bert-base-german-cased/resolve/main/config.json',
    'bert-large-uncased-whole-word-masking': (
        'https://huggingface.co/bert-large-uncased-whole-word-masking/resolve/main/config.json'
    ),
    'bert-large-cased-whole-word-masking': (
        'https://huggingface.co/bert-large-cased-whole-word-masking/resolve/main/config.json'
    ),
    'bert-large-uncased-whole-word-masking-finetuned-squad': (
        'https://huggingface.co/bert-large-uncased-whole-word-masking-finetuned-squad/resolve/main/config.json'
    ),
    'bert-large-cased-whole-word-masking-finetuned-squad': (
        'https://huggingface.co/bert-large-cased-whole-word-masking-finetuned-squad/resolve/main/config.json'
    ),
    'bert-base-cased-finetuned-mrpc': 'https://huggingface.co/bert-base-cased-finetuned-mrpc/resolve/main/config.json',
    'bert-base-german-dbmdz-cased': 'https://huggingface.co/bert-base-german-dbmdz-cased/resolve/main/config.json',
    'bert-base-german-dbmdz-uncased': 'https://huggingface.co/bert-base-german-dbmdz-uncased/resolve/main/config.json',
    'cl-tohoku/bert-base-japanese': 'https://huggingface.co/cl-tohoku/bert-base-japanese/resolve/main/config.json',
    'cl-tohoku/bert-base-japanese-whole-word-masking': (
        'https://huggingface.co/cl-tohoku/bert-base-japanese-whole-word-masking/resolve/main/config.json'
    ),
    'cl-tohoku/bert-base-japanese-char': (
        'https://huggingface.co/cl-tohoku/bert-base-japanese-char/resolve/main/config.json'
    ),
    'cl-tohoku/bert-base-japanese-char-whole-word-masking': (
        'https://huggingface.co/cl-tohoku/bert-base-japanese-char-whole-word-masking/resolve/main/config.json'
    ),
    'TurkuNLP/bert-base-finnish-cased-v1': (
        'https://huggingface.co/TurkuNLP/bert-base-finnish-cased-v1/resolve/main/config.json'
    ),
    'TurkuNLP/bert-base-finnish-uncased-v1': (
        'https://huggingface.co/TurkuNLP/bert-base-finnish-uncased-v1/resolve/main/config.json'
    ),
    'wietsedv/bert-base-dutch-cased': 'https://huggingface.co/wietsedv/bert-base-dutch-cased/resolve/main/config.json',
    # See all BERT models at https://huggingface.co/models?filter=bert
}
class 						__A							( SCREAMING_SNAKE_CASE_		):
     _UpperCamelCase							:			Optional[int]							=		"bert"






     def __init__(		self				,     a__=30522				,     a__=768				,     a__=12				,     a__=12				,     a__=3072				,     a__="gelu"				,     a__=0.1				,     a__=0.1				,     a__=512				,     a__=2				,     a__=0.0_2				,     a__=1e-12				,     a__=0				,     a__="absolute"				,     a__=True				,     a__=None				,     **a__				,     ):
       super().__init__(pad_token_id=a__				,     **a__  )

       _lowerCAmelCase						:       Optional[Any]  			=     vocab_size
       _lowerCAmelCase						:       Tuple  			=     hidden_size
       _lowerCAmelCase						:       Union[str, Any]  			=     num_hidden_layers
       _lowerCAmelCase						:       Union[str, Any]  			=     num_attention_heads
       _lowerCAmelCase						:       str  			=     hidden_act
       _lowerCAmelCase						:       Dict  			=     intermediate_size
       _lowerCAmelCase						:       Union[str, Any]  			=     hidden_dropout_prob
       _lowerCAmelCase						:       Dict  			=     attention_probs_dropout_prob
       _lowerCAmelCase						:       List[Any]  			=     max_position_embeddings
       _lowerCAmelCase						:       List[str]  			=     type_vocab_size
       _lowerCAmelCase						:       int  			=     initializer_range
       _lowerCAmelCase						:       List[str]  			=     layer_norm_eps
       _lowerCAmelCase						:       Union[str, Any]  			=     position_embedding_type
       _lowerCAmelCase						:       str  			=     use_cache
       _lowerCAmelCase						:       Union[str, Any]  			=     classifier_dropout







class 						__A							( SCREAMING_SNAKE_CASE_		):






     @property
     def     __A  (		self  ):
       if self.task == "multiple-choice":
         _lowerCAmelCase						:       Tuple  			=     {0: """batch""", 1: """choice""", 2: """sequence"""}
       else:
         _lowerCAmelCase						:       str  			=     {0: """batch""", 1: """sequence"""}
       return OrderedDict(
           [
               ("""input_ids""", dynamic_axis),
               ("""attention_mask""", dynamic_axis),
               ("""token_type_ids""", dynamic_axis),
           ]  )








import os
import unittest

from huggingface_hub.utils import are_progress_bars_disabled

import transformers.models.bart.tokenization_bart
from transformers import logging
from transformers.testing_utils import CaptureLogger, mockenv, mockenv_context
from transformers.utils.logging import disable_progress_bar, enable_progress_bar





class       A    (   unittest.TestCase ):


							def 			_A       (self					):
									__lowercase=			logging.get_logger()

									# the current default level is logging.WARNING
									__lowercase=			logging.get_verbosity()

									logging.set_verbosity_error()
									self.assertEqual(logger.getEffectiveLevel()      ,				logging.get_verbosity()					)

									logging.set_verbosity_warning()
									self.assertEqual(logger.getEffectiveLevel()      ,				logging.get_verbosity()					)

									logging.set_verbosity_info()
									self.assertEqual(logger.getEffectiveLevel()      ,				logging.get_verbosity()					)

									logging.set_verbosity_debug()
									self.assertEqual(logger.getEffectiveLevel()      ,				logging.get_verbosity()					)

									# restore to the original level
									logging.set_verbosity(lowerCAmelCase					)


							def 			_A       (self					):
									__lowercase=			logging.get_verbosity()

									__lowercase=			logging.get_logger('transformers.models.bart.tokenization_bart'					)
									__lowercase=			'Testing 1, 2, 3'

									# should be able to log warnings (if default settings weren't overridden by `pytest --log-level-all`)
									if level_origin <= logging.WARNING:
											with CaptureLogger(lowerCAmelCase					) as cl:
													logger.warning(lowerCAmelCase					)
											self.assertEqual(cl.out      ,				msg + '\n'					)

									# this is setting the level for all of `transformers.*` loggers
									logging.set_verbosity_error()

									# should not be able to log warnings
									with CaptureLogger(lowerCAmelCase					) as cl:
											logger.warning(lowerCAmelCase					)
									self.assertEqual(cl.out      ,				''					)

									# should be able to log warnings again
									logging.set_verbosity_warning()
									with CaptureLogger(lowerCAmelCase					) as cl:
											logger.warning(lowerCAmelCase					)
									self.assertEqual(cl.out      ,				msg + '\n'					)

									# restore to the original level
									logging.set_verbosity(lowerCAmelCase					)


							@mockenv(TRANSFORMERS_VERBOSITY='error'					)
							def 			_A       (self					):
									# reset for the env var to take effect, next time some logger call is made
									transformers.utils.logging._reset_library_root_logger()
									# this action activates the env var
									__lowercase=			logging.get_logger('transformers.models.bart.tokenization_bart'					)

									__lowercase=			os.getenv('TRANSFORMERS_VERBOSITY'      ,				lowerCAmelCase					)
									__lowercase=			logging.log_levels[env_level_str]

									__lowercase=			logging.get_verbosity()
									self.assertEqual(
									    lowerCAmelCase      ,				lowerCAmelCase      ,				f'TRANSFORMERS_VERBOSITY={env_level_str}/{env_level}, but internal verbosity is {current_level}'      ,				)

									# restore to the original level
									__lowercase=			''
									transformers.utils.logging._reset_library_root_logger()


							@mockenv(TRANSFORMERS_VERBOSITY='super-error'					)
							def 			_A       (self					):
									# reset for the env var to take effect, next time some logger call is made
									transformers.utils.logging._reset_library_root_logger()
									__lowercase=			logging.logging.getLogger()
									with CaptureLogger(lowerCAmelCase					) as cl:
											# this action activates the env var
											logging.get_logger('transformers.models.bart.tokenization_bart'					)
									self.assertIn('Unknown option TRANSFORMERS_VERBOSITY=super-error'      ,				cl.out					)

									# no need to restore as nothing was changed







							def 			_A       (self					):
									# testing `logger.warning_advice()`
									transformers.utils.logging._reset_library_root_logger()

									__lowercase=			logging.get_logger('transformers.models.bart.tokenization_bart'					)
									__lowercase=			'Testing 1, 2, 3'

									with mockenv_context(TRANSFORMERS_NO_ADVISORY_WARNINGS='1'					):
											# nothing should be logged as env var disables this method
											with CaptureLogger(lowerCAmelCase					) as cl:
													logger.warning_advice(lowerCAmelCase					)
											self.assertEqual(cl.out      ,				''					)

									with mockenv_context(TRANSFORMERS_NO_ADVISORY_WARNINGS=''					):
											# should log normally as TRANSFORMERS_NO_ADVISORY_WARNINGS is unset
											with CaptureLogger(lowerCAmelCase					) as cl:
													logger.warning_advice(lowerCAmelCase					)
											self.assertEqual(cl.out      ,				msg + '\n'					)







def        _lowerCamelCase(	)						->	Optional[int]:

		'''simple docstring'''







		disable_progress_bar()
		assert are_progress_bars_disabled()

		enable_progress_bar()
		assert not are_progress_bars_disabled()






