



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

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


_lowerCAmelCase    :List[str]     =					logging.get_logger(__name__)

_lowerCAmelCase    :Dict     =					{
    '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 							_UpperCAmelCase							( a      ):





     '''simple docstring'''



     a__									='''distilbert'''
     a__									={
         '''hidden_size''': '''dim''',
         '''num_attention_heads''': '''n_heads''',
         '''num_hidden_layers''': '''n_layers''',
     }





     def __init__(					self       ,	A=3_0_5_2_2       ,	A=5_1_2       ,	A=False       ,	A=6       ,	A=1_2       ,	A=7_6_8       ,	A=4 * 7_6_8       ,	A=0.1       ,	A=0.1       ,	A="gelu"       ,	A=0.02       ,	A=0.1       ,	A=0.2       ,	A=0       ,	**A       ,	)							->					Dict:
         _UpperCAmelCase							:  Union[str, Any]											=    vocab_size
         _UpperCAmelCase							:  List[Any]											=    max_position_embeddings
         _UpperCAmelCase							:  Tuple											=    sinusoidal_pos_embds
         _UpperCAmelCase							:  int											=    n_layers
         _UpperCAmelCase							:  List[str]											=    n_heads
         _UpperCAmelCase							:  Dict											=    dim
         _UpperCAmelCase							:  Optional[int]											=    hidden_dim
         _UpperCAmelCase							:  Optional[int]											=    dropout
         _UpperCAmelCase							:  Dict											=    attention_dropout
         _UpperCAmelCase							:  List[Any]											=    activation
         _UpperCAmelCase							:  Optional[int]											=    initializer_range
         _UpperCAmelCase							:  Dict											=    qa_dropout
         _UpperCAmelCase							:  str											=    seq_classif_dropout
         super().__init__(**A       ,	pad_token_id=A		)



class 							_UpperCAmelCase							( a      ):





     '''simple docstring'''



     @property
     def  __lowerCAmelCase	(					self		)							->					Mapping[str, Mapping[int, str]]:
         if self.task == "multiple-choice":
             _UpperCAmelCase							:  Union[str, Any]											=    {0: '''batch''', 1: '''choice''', 2: '''sequence'''}
         else:
             _UpperCAmelCase							:  Dict											=    {0: '''batch''', 1: '''sequence'''}
         return OrderedDict(
             [
                 ('''input_ids''', dynamic_axis),
                 ('''attention_mask''', dynamic_axis),
             ]		)







"""simple docstring"""
import math

from numpy import inf
from scipy.integrate import quad





def  lowerCamelCase_						(UpperCamelCase__		:		float							):
    if num <= 0:
        raise ValueError('''math domain error'''							)

    return quad(UpperCamelCase__     ,       0     ,       UpperCamelCase__     ,       args=(UpperCamelCase__)							)[0]





def  lowerCamelCase_						(UpperCamelCase__		:		float     ,       UpperCamelCase__		:		float							):
    return math.pow(UpperCamelCase__     ,       z - 1							) * math.exp(-x							)


if __name__ == "__main__":
  from doctest import testmod

  testmod()


