






from collections import OrderedDict
from typing import Mapping

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


UpperCamelCase        =				logging.get_logger(__name__)

UpperCamelCase        =				{
    "distilbert-base-uncased": "https://huggingface.co/distilbert-base-uncased/resolve/main/config.json",
    "distilbert-base-uncased-distilled-squad": (
        "https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/config.json"
    ),
    "distilbert-base-cased": "https://huggingface.co/distilbert-base-cased/resolve/main/config.json",
    "distilbert-base-cased-distilled-squad": (
        "https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/config.json"
    ),
    "distilbert-base-german-cased": "https://huggingface.co/distilbert-base-german-cased/resolve/main/config.json",
    "distilbert-base-multilingual-cased": (
        "https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/config.json"
    ),
    "distilbert-base-uncased-finetuned-sst-2-english": (
        "https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english/resolve/main/config.json"
    ),
}

class        lowerCAmelCase_				(      lowercase	):







				"""simple docstring"""




				_snake_case				:   Tuple        =			"""distilbert"""
				_snake_case				:   Tuple        =			{
				    """hidden_size""": """dim""",
				    """num_attention_heads""": """n_heads""",
				    """num_hidden_layers""": """n_layers""",
				}







				def __init__( self     :Dict  ,     lowerCamelCase__     :Tuple=3_05_22  ,     lowerCamelCase__     :List[str]=5_12  ,     lowerCamelCase__     :Union[str, Any]=False  ,     lowerCamelCase__     :Union[str, Any]=6  ,     lowerCamelCase__     :Optional[Any]=12  ,     lowerCamelCase__     :str=7_68  ,     lowerCamelCase__     :List[str]=4 * 7_68  ,     lowerCamelCase__     :Optional[Any]=0.1  ,     lowerCamelCase__     :int=0.1  ,     lowerCamelCase__     :List[Any]="gelu"  ,     lowerCamelCase__     :Any=0.02  ,     lowerCamelCase__     :Optional[Any]=0.1  ,     lowerCamelCase__     :Dict=0.2  ,     lowerCamelCase__     :List[str]=0  ,     **lowerCamelCase__     :Any  ,     ):
					UpperCamelCase__ :Dict						=      vocab_size
					UpperCamelCase__ :Optional[Any]						=      max_position_embeddings
					UpperCamelCase__ :Any						=      sinusoidal_pos_embds
					UpperCamelCase__ :Union[str, Any]						=      n_layers
					UpperCamelCase__ :Any						=      n_heads
					UpperCamelCase__ :List[Any]						=      dim
					UpperCamelCase__ :Optional[Any]						=      hidden_dim
					UpperCamelCase__ :List[Any]						=      dropout
					UpperCamelCase__ :List[Any]						=      attention_dropout
					UpperCamelCase__ :List[Any]						=      activation
					UpperCamelCase__ :Any						=      initializer_range
					UpperCamelCase__ :Any						=      qa_dropout
					UpperCamelCase__ :str						=      seq_classif_dropout
					super().__init__(**lowerCamelCase__  ,     pad_token_id=lowerCamelCase__     )

class        lowerCAmelCase_				(      lowercase	):







				"""simple docstring"""




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



def 						a__			(				A__ = 5_0_0_0_0_0_0_0				):
			SCREAMING_SNAKE_CASE_		:     Union[str, Any]					=					set()
			SCREAMING_SNAKE_CASE_		:     Optional[int]					=					int((limit - 2_4) ** (1 / 2)				)

			SCREAMING_SNAKE_CASE_		:     Dict					=					set(range(3,      prime_square_limit + 1,      2				)				)
			primes.add(2				)
			for p in range(3,      prime_square_limit + 1,      2				):
						if p not in primes:
									continue
						primes.difference_update(set(range(p * p,      prime_square_limit + 1,      A__				)				)				)

			for primea in primes:
						SCREAMING_SNAKE_CASE_		:     int					=					primea * primea
						for primea in primes:
									SCREAMING_SNAKE_CASE_		:     Dict					=					primea * primea * primea
									if square + cube >= limit - 1_6:
												break
									for primea in primes:
												SCREAMING_SNAKE_CASE_		:     Optional[int]					=					primea * primea * primea * primea
												SCREAMING_SNAKE_CASE_		:     str					=					square + cube + tetr
												if total >= limit:
															break
												ret.add(A__				)

			return len(A__				)


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





