

from collections import OrderedDict
from typing import TYPE_CHECKING, Any, Mapping, Optional, Union

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


if TYPE_CHECKING:
	from ... import FeatureExtractionMixin, PreTrainedTokenizerBase, TensorType


lowerCAmelCase__						=	logging.get_logger(__name__)

lowerCAmelCase__						=	{
    """microsoft/deberta-base""": """https://huggingface.co/microsoft/deberta-base/resolve/main/config.json""",
    """microsoft/deberta-large""": """https://huggingface.co/microsoft/deberta-large/resolve/main/config.json""",
    """microsoft/deberta-xlarge""": """https://huggingface.co/microsoft/deberta-xlarge/resolve/main/config.json""",
    """microsoft/deberta-base-mnli""": """https://huggingface.co/microsoft/deberta-base-mnli/resolve/main/config.json""",
    """microsoft/deberta-large-mnli""": """https://huggingface.co/microsoft/deberta-large-mnli/resolve/main/config.json""",
    """microsoft/deberta-xlarge-mnli""": """https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/main/config.json""",
}

class    a__  (   snake_case     ):
			"""simple docstring"""







			__lowerCamelCase	    =    'deberta'


			def __init__(      self , lowercase=50265 , lowercase=768 , lowercase=12 , lowercase=12 , lowercase=3072 , lowercase="gelu" , lowercase=0.1 , lowercase=0.1 , lowercase=512 , lowercase=0 , lowercase=0.02 , lowercase=1e-7 , lowercase=False , lowercase=-1 , lowercase=0 , lowercase=True , lowercase=None , lowercase=0 , lowercase="gelu" , **lowercase , )					->  Union[str, Any]:
							'''simple docstring'''






							super().__init__(**lowercase    )

							A__            =     hidden_size
							A__            =     num_hidden_layers
							A__            =     num_attention_heads
							A__            =     intermediate_size
							A__            =     hidden_act
							A__            =     hidden_dropout_prob
							A__            =     attention_probs_dropout_prob
							A__            =     max_position_embeddings
							A__            =     type_vocab_size
							A__            =     initializer_range
							A__            =     relative_attention
							A__            =     max_relative_positions
							A__            =     pad_token_id
							A__            =     position_biased_input

							# Backwards compatibility
							if type(lowercase    ) == str:
											A__            =     [x.strip() for x in pos_att_type.lower().split("|"    )]

							A__            =     pos_att_type
							A__            =     vocab_size
							A__            =     layer_norm_eps

							A__            =     kwargs.get("pooler_hidden_size" , lowercase    )
							A__            =     pooler_dropout
							A__            =     pooler_hidden_act

class    a__  (   snake_case     ):
			"""simple docstring"""







			@property
			def        UpperCamelCase						(      self    )					->  Mapping[str, Mapping[int, str]]:
							'''simple docstring'''






							if self.task == "multiple-choice":
											A__            =     {0: "batch", 1: "choice", 2: "sequence"}
							else:
											A__            =     {0: "batch", 1: "sequence"}
							if self._config.type_vocab_size > 0:
											return OrderedDict(
											    [("input_ids", dynamic_axis), ("attention_mask", dynamic_axis), ("token_type_ids", dynamic_axis)]    )
							else:
											return OrderedDict([("input_ids", dynamic_axis), ("attention_mask", dynamic_axis)]    )


			@property
			def        UpperCamelCase						(      self    )					->  int:
							'''simple docstring'''






							return 12


			def        UpperCamelCase						(      self , lowercase , lowercase = -1 , lowercase = -1 , lowercase = -1 , lowercase = False , lowercase = None , lowercase = 3 , lowercase = 40 , lowercase = 40 , lowercase = None , )					->  Mapping[str, Any]:
							'''simple docstring'''






							A__            =     super().generate_dummy_inputs(preprocessor=lowercase , framework=lowercase    )
							if self._config.type_vocab_size == 0 and "token_type_ids" in dummy_inputs:
											del dummy_inputs["token_type_ids"]
							return dummy_inputs




import math



def    lowerCAmelCase__							(		SCREAMING_SNAKE_CASE_:							int )     -> bool:




				'''simple docstring'''





				if 1 < number < 4:
								# 2 and 3 are primes
								return True
				elif number < 2 or number % 2 == 0 or number % 3 == 0:
								# Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
								return False

				# All primes number are in format of 6k +/- 1
				for i in range(5		,    int(math.sqrt(SCREAMING_SNAKE_CASE_ ) + 1 )		,    6 ):
								if number % i == 0 or number % (i + 2) == 0:
												return False
				return True



def    lowerCAmelCase__							(		SCREAMING_SNAKE_CASE_:							int = 2_0_0_0_0_0_0 )     -> int:




				'''simple docstring'''





				return sum(num for num in range(3		,    SCREAMING_SNAKE_CASE_		,    2 ) if is_prime(SCREAMING_SNAKE_CASE_ ) ) + 2 if n > 2 else 0


if __name__ == "__main__":
	print(f"""{solution() = }""")

