



from collections import OrderedDict
from typing import Mapping

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


__snake_case						:str						=					logging.get_logger(__name__)

__snake_case						:List[str]						=					{
    '''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    _A	(     __UpperCAmelCase   ):
       UpperCamelCase__  :   Tuple						 =						'''distilbert'''
       UpperCamelCase__  :   Any						 =						{
           '''hidden_size''': '''dim''',
           '''num_attention_heads''': '''n_heads''',
           '''num_hidden_layers''': '''n_layers''',
       }



       def __init__(		self							:					Optional[Any]					,		__SCREAMING_SNAKE_CASE							:					Optional[int]=30_522					,		__SCREAMING_SNAKE_CASE							:					int=512					,		__SCREAMING_SNAKE_CASE							:					Dict=False					,		__SCREAMING_SNAKE_CASE							:					Any=6					,		__SCREAMING_SNAKE_CASE							:					List[str]=12					,		__SCREAMING_SNAKE_CASE							:					Dict=768					,		__SCREAMING_SNAKE_CASE							:					List[Any]=4 * 768					,		__SCREAMING_SNAKE_CASE							:					Optional[Any]=0.1					,		__SCREAMING_SNAKE_CASE							:					int=0.1					,		__SCREAMING_SNAKE_CASE							:					List[str]="gelu"					,		__SCREAMING_SNAKE_CASE							:					Tuple=0.02					,		__SCREAMING_SNAKE_CASE							:					Tuple=0.1					,		__SCREAMING_SNAKE_CASE							:					List[Any]=0.2					,		__SCREAMING_SNAKE_CASE							:					str=0					,		**__SCREAMING_SNAKE_CASE							:					Optional[Any]					,		):


           '''simple docstring'''

           __a							=    vocab_size
           __a							=    max_position_embeddings
           __a							=    sinusoidal_pos_embds
           __a							=    n_layers
           __a							=    n_heads
           __a							=    dim
           __a							=    hidden_dim
           __a							=    dropout
           __a							=    attention_dropout
           __a							=    activation
           __a							=    initializer_range
           __a							=    qa_dropout
           __a							=    seq_classif_dropout
           super().__init__(**lowerCamelCase_					,		pad_token_id=lowerCamelCase_)


class    _A	(     __UpperCAmelCase   ):



       @property
       def 		_lowerCamelCase      (		self							:					Dict):


           '''simple docstring'''

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










def 					__snake_case     (      _UpperCAmelCase = 1000000    ):
    __a							=    limit + 1
    __a							=    [0] * limit
    for first_term in range(1       ,			_UpperCAmelCase    ):
        for n in range(_UpperCAmelCase       ,			_UpperCAmelCase       ,			_UpperCAmelCase    ):
            __a							=    first_term + n / first_term
            if common_difference % 4:  # d must be divisble by 4
                continue
            else:
                common_difference /= 4
                if (
                    first_term > common_difference
                    and first_term < 4 * common_difference
                ):  # since x,y,z are positive integers
                    frequency[n] += 1  # so z>0 and a>d ,also 4d<a

    __a							=    sum(1 for x in frequency[1:limit] if x == 10    )

    return count


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





