
from collections import OrderedDict
from typing import Mapping

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


lowercase  :					Optional[Any]						    =							logging.get_logger(__name__)

lowercase  :					Optional[int]						    =							{
    """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 __snake_case		(      lowerCAmelCase     ):
    _a		:						Any=				"camembert"
    def __init__(  self		,snake_case=30522		,snake_case=768		,snake_case=12		,snake_case=12		,snake_case=3072		,snake_case="gelu"		,snake_case=0.1		,snake_case=0.1		,snake_case=512		,snake_case=2		,snake_case=0.02		,snake_case=1e-12		,snake_case=1		,snake_case=0		,snake_case=2		,snake_case="absolute"		,snake_case=True		,snake_case=None		,**snake_case		,):



           '''simple docstring'''







           super().__init__(pad_token_id=snake_case		,bos_token_id=snake_case		,eos_token_id=snake_case		,**snake_case      )

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






class __snake_case		(      lowerCAmelCase     ):
    @property
    def       _SCREAMING_SNAKE_CASE       (  self      ):



           '''simple docstring'''







           if self.task == "multiple-choice":
                  lowercase							:     Union[str, Any]       	=      {0: """batch""", 1: """choice""", 2: """sequence"""}
           else:
                  lowercase							:     Union[str, Any]       	=      {0: """batch""", 1: """sequence"""}
           return OrderedDict(
               [
                   ("""input_ids""", dynamic_axis),
                   ("""attention_mask""", dynamic_axis),
               ]      )




from __future__ import annotations
def 			_a (      SCREAMING_SNAKE_CASE						,				SCREAMING_SNAKE_CASE     ):


		"""simple docstring"""




		lowercase__            =      0
		lowercase__            =      len(SCREAMING_SNAKE_CASE     ) - 1

		while i < j:
				if nums[i] + nums[j] == target:
						return [i, j]
				elif nums[i] + nums[j] < target:
						lowercase__            =      i + 1
				else:
						lowercase__            =      j - 1

		return []


if __name__ == "__main__":
			import doctest

			doctest.testmod()
			print(f"""{two_pointer([2, 7, 11, 15], 9) = }""")


