






"""simple docstring"""
from collections import OrderedDict
from typing import Mapping

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


_lowerCAmelCase     :   Any         =							logging.get_logger(__name__)

_lowerCAmelCase     :   Tuple         =							{
    'facebook/data2vec-text-base': 'https://huggingface.co/data2vec/resolve/main/config.json',
}



class      SCREAMING_SNAKE_CASE  (				__lowercase						):





	"""simple docstring"""




	_A       :				List[Any]    =				'''data2vec-text'''





	def __init__(self     ,     lowerCAmelCase_=30522     ,     lowerCAmelCase_=768     ,     lowerCAmelCase_=12     ,     lowerCAmelCase_=12     ,     lowerCAmelCase_=3072     ,     lowerCAmelCase_="gelu"     ,     lowerCAmelCase_=0.1     ,     lowerCAmelCase_=0.1     ,     lowerCAmelCase_=512     ,     lowerCAmelCase_=2     ,     lowerCAmelCase_=0.02     ,     lowerCAmelCase_=1e-1_2     ,     lowerCAmelCase_=1     ,     lowerCAmelCase_=0     ,     lowerCAmelCase_=2     ,     lowerCAmelCase_="absolute"     ,     lowerCAmelCase_=True     ,     lowerCAmelCase_=None     ,     **lowerCAmelCase_     ,     ):
		super().__init__(pad_token_id=__a     ,     bos_token_id=__a     ,     eos_token_id=__a     ,     **__a							)

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






class      SCREAMING_SNAKE_CASE  (				__lowercase						):





	"""simple docstring"""




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









"""simple docstring"""
import os


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_doctest_list.py
_lowerCAmelCase         =							"."


if __name__ == "__main__":
							_lowerCAmelCase         =							os.path.join(REPO_PATH, "utils/documentation_tests.txt")
							_lowerCAmelCase         =							[]
							_lowerCAmelCase         =							[]
							with open(doctest_file_path) as fp:
														for line in fp:
																					_lowerCAmelCase         =							line.strip()
																					_lowerCAmelCase         =							os.path.join(REPO_PATH, line)
																					if not (os.path.isfile(path) or os.path.isdir(path)):
																												non_existent_paths.append(line)
																					all_paths.append(path)
							if len(non_existent_paths) > 0:
														_lowerCAmelCase         =							"\n".join(non_existent_paths)
														raise ValueError(F'`utils/documentation_tests.txt` contains non-existent paths:\n{non_existent_paths}')
							if all_paths != sorted(all_paths):
														raise ValueError("Files in `utils/documentation_tests.txt` are not in alphabetical order.")

