



'''simple docstring'''






import doctest
import logging
import os
import unittest
from pathlib import Path
from typing import List, Union

import transformers
from transformers.testing_utils import require_tf, require_torch, slow


UpperCamelCase__:   str								=			logging.getLogger()

@unittest.skip("""Temporarily disable the doc tests."""			)
@require_torch
@require_tf
@slow
class 				SCREAMING_SNAKE_CASE(							unittest.TestCase			):







	"""simple docstring"""






	def      A	(						self			:     List[Any]		,			__snake_case			:     List[str]		,			__snake_case			:     Dict = None		,			__snake_case			:     Tuple = None		,			__snake_case			:     str = None		,			__snake_case			:     Tuple = True		,			)			->		List[str]:
								UpperCAmelCase :       Any 							=		[file for file in os.listdir(__snake_case		) if os.path.isfile(os.path.join(__snake_case		,			__snake_case		)		)]

								if identifier is not None:
															UpperCAmelCase :       List[str] 							=		[file for file in files if identifier in file]

								if n_identifier is not None:
															if isinstance(__snake_case		,			__snake_case		):
																						for n_ in n_identifier:
																													UpperCAmelCase :       Any 							=		[file for file in files if n_ not in file]
															else:
																						UpperCAmelCase :       Union[str, Any] 							=		[file for file in files if n_identifier not in file]

								UpperCAmelCase :       Any 							=		ignore_files or []
								ignore_files.append('''__init__.py'''		)
								UpperCAmelCase :       Dict 							=		[file for file in files if file not in ignore_files]

								for file in files:
															# Open all files
															print('''Testing'''		,			__snake_case		)

															if only_modules:
																						UpperCAmelCase :       List[Any] 							=		file.split('''.'''		)[0]
																						try:
																													UpperCAmelCase :       List[Any] 							=		getattr(__snake_case		,			__snake_case		)
																													UpperCAmelCase :       Union[str, Any] 							=		doctest.DocTestSuite(__snake_case		)
																													UpperCAmelCase :       Optional[Any] 							=		unittest.TextTestRunner().run(__snake_case		)
																													self.assertIs(len(result.failures		)		,			0		)
																						except AttributeError:
																													logger.info(F"""{module_identifier} is not a module."""		)
															else:
																						UpperCAmelCase :       List[str] 							=		doctest.testfile(str('''..''' / directory / file		)		,			optionflags=doctest.ELLIPSIS		)
																						self.assertIs(result.failed		,			0		)







	def      A	(						self			:     List[Any]		)			->		Tuple:
								UpperCAmelCase :       Optional[Any] 							=		Path('''src/transformers'''		)
								UpperCAmelCase :       Dict 							=		"""modeling"""
								UpperCAmelCase :       Optional[Any] 							=		[
								    """modeling_ctrl.py""",
								    """modeling_tf_ctrl.py""",
								]
								self.analyze_directory(__snake_case		,			identifier=__snake_case		,			ignore_files=__snake_case		)







	def      A	(						self			:     Optional[int]		)			->		int:
								UpperCAmelCase :       Any 							=		Path('''src/transformers'''		)
								UpperCAmelCase :       Union[str, Any] 							=		"""tokenization"""
								self.analyze_directory(__snake_case		,			identifier=__snake_case		)







	def      A	(						self			:     Dict		)			->		List[Any]:
								UpperCAmelCase :       List[str] 							=		Path('''src/transformers'''		)
								UpperCAmelCase :       Dict 							=		"""configuration"""
								self.analyze_directory(__snake_case		,			identifier=__snake_case		)







	def      A	(						self			:     Tuple		)			->		Union[str, Any]:
								UpperCAmelCase :       List[str] 							=		Path('''src/transformers'''		)
								UpperCAmelCase :       int 							=		["""configuration""", """modeling""", """tokenization"""]
								self.analyze_directory(__snake_case		,			n_identifier=__snake_case		)







	def      A	(						self			:     Optional[Any]		)			->		Dict:
								UpperCAmelCase :       Union[str, Any] 							=		Path('''docs/source'''		)
								UpperCAmelCase :       Tuple 							=		["""favicon.ico"""]
								self.analyze_directory(__snake_case		,			ignore_files=__snake_case		,			only_modules=__snake_case		)







from collections import OrderedDict
from typing import Mapping

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


_lowerCamelCase					   =logging.get_logger(__name__)

_lowerCamelCase					   ={
    """camembert-base""": """https://huggingface.co/camembert-base/resolve/main/config.json""",
    """umberto-commoncrawl-cased-v1""": (
        """https://huggingface.co/Musixmatch/umberto-commoncrawl-cased-v1/resolve/main/config.json"""
    ),
    """umberto-wikipedia-uncased-v1""": (
        """https://huggingface.co/Musixmatch/umberto-wikipedia-uncased-v1/resolve/main/config.json"""
    ),
}





class 							A__		(	__SCREAMING_SNAKE_CASE):
      _UpperCAmelCase				:    Tuple           =			"""camembert"""
      def __init__(      self    ,  __magic_name__=3_0_5_2_2    ,  __magic_name__=7_6_8    ,  __magic_name__=1_2    ,  __magic_name__=1_2    ,  __magic_name__=3_0_7_2    ,  __magic_name__="gelu"    ,  __magic_name__=0.1    ,  __magic_name__=0.1    ,  __magic_name__=5_1_2    ,  __magic_name__=2    ,  __magic_name__=0.02    ,  __magic_name__=1e-12    ,  __magic_name__=1    ,  __magic_name__=0    ,  __magic_name__=2    ,  __magic_name__="absolute"    ,  __magic_name__=True    ,  __magic_name__=None    ,  **__magic_name__    ,  ):
       super().__init__(pad_token_id=__magic_name__    ,  bos_token_id=__magic_name__    ,  eos_token_id=__magic_name__    ,  **__magic_name__      )

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





class 							A__		(	__SCREAMING_SNAKE_CASE):
      @property
      def 						UpperCamelCase__							(      self      ):
       if self.task == "multiple-choice":
        lowerCamelCase		:	List[str]							=      {0: """batch""", 1: """choice""", 2: """sequence"""}
       else:
        lowerCamelCase		:	List[str]							=      {0: """batch""", 1: """sequence"""}
       return OrderedDict(
           [
               ("""input_ids""", dynamic_axis),
               ("""attention_mask""", dynamic_axis),
           ]      )




