


from collections import OrderedDict
from typing import Mapping

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


snake_case_  :     Tuple							  =							logging.get_logger(__name__)

snake_case_  :     List[str]							  =							{
    '''nghuyong/ernie-1.0-base-zh''': '''https://huggingface.co/nghuyong/ernie-1.0-base-zh/resolve/main/config.json''',
    '''nghuyong/ernie-2.0-base-en''': '''https://huggingface.co/nghuyong/ernie-2.0-base-en/resolve/main/config.json''',
    '''nghuyong/ernie-2.0-large-en''': '''https://huggingface.co/nghuyong/ernie-2.0-large-en/resolve/main/config.json''',
    '''nghuyong/ernie-3.0-base-zh''': '''https://huggingface.co/nghuyong/ernie-3.0-base-zh/resolve/main/config.json''',
    '''nghuyong/ernie-3.0-medium-zh''': '''https://huggingface.co/nghuyong/ernie-3.0-medium-zh/resolve/main/config.json''',
    '''nghuyong/ernie-3.0-mini-zh''': '''https://huggingface.co/nghuyong/ernie-3.0-mini-zh/resolve/main/config.json''',
    '''nghuyong/ernie-3.0-micro-zh''': '''https://huggingface.co/nghuyong/ernie-3.0-micro-zh/resolve/main/config.json''',
    '''nghuyong/ernie-3.0-nano-zh''': '''https://huggingface.co/nghuyong/ernie-3.0-nano-zh/resolve/main/config.json''',
    '''nghuyong/ernie-gram-zh''': '''https://huggingface.co/nghuyong/ernie-gram-zh/resolve/main/config.json''',
    '''nghuyong/ernie-health-zh''': '''https://huggingface.co/nghuyong/ernie-health-zh/resolve/main/config.json''',
}

class   A__							(						snake_case__					):
						UpperCAmelCase     =  'ernie'




						def __init__(    self   : List[str]			,      _a   : Dict=3_0522			,      _a   : Union[str, Any]=768			,      _a   : str=12			,      _a   : int=12			,      _a   : int=3072			,      _a   : Optional[int]="gelu"			,      _a   : Dict=0.1			,      _a   : int=0.1			,      _a   : Union[str, Any]=512			,      _a   : List[str]=2			,      _a   : Any=3			,      _a   : Any=False			,      _a   : int=0.02			,      _a   : Optional[Any]=1E-12			,      _a   : Optional[Any]=0			,      _a   : int="absolute"			,      _a   : List[Any]=True			,      _a   : Tuple=None			,      **_a   : str			,      )							->       Dict:


										"""simple docstring"""





										super().__init__(pad_token_id=_a			,      **_a					)

										_SCREAMING_SNAKE_CASE     					=vocab_size
										_SCREAMING_SNAKE_CASE     					=hidden_size
										_SCREAMING_SNAKE_CASE     					=num_hidden_layers
										_SCREAMING_SNAKE_CASE     					=num_attention_heads
										_SCREAMING_SNAKE_CASE     					=hidden_act
										_SCREAMING_SNAKE_CASE     					=intermediate_size
										_SCREAMING_SNAKE_CASE     					=hidden_dropout_prob
										_SCREAMING_SNAKE_CASE     					=attention_probs_dropout_prob
										_SCREAMING_SNAKE_CASE     					=max_position_embeddings
										_SCREAMING_SNAKE_CASE     					=type_vocab_size
										_SCREAMING_SNAKE_CASE     					=task_type_vocab_size
										_SCREAMING_SNAKE_CASE     					=use_task_id
										_SCREAMING_SNAKE_CASE     					=initializer_range
										_SCREAMING_SNAKE_CASE     					=layer_norm_eps
										_SCREAMING_SNAKE_CASE     					=position_embedding_type
										_SCREAMING_SNAKE_CASE     					=use_cache
										_SCREAMING_SNAKE_CASE     					=classifier_dropout

class   A__							(						snake_case__					):




						@property
						def 							__UpperCamelCase			(    self   : Dict					)							->       Mapping[str, Mapping[int, str]]:


										"""simple docstring"""





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



import math







def   lowerCamelCase(				a__):
				_SCREAMING_SNAKE_CASE     					=math.log(2		,10) * number
				_SCREAMING_SNAKE_CASE     					=round((log_number - int(a__))		,15)

				return difference







def   lowerCamelCase(				a__ = 67_8910):
				_SCREAMING_SNAKE_CASE     					=90
				_SCREAMING_SNAKE_CASE     					=0

				_SCREAMING_SNAKE_CASE     					=math.log(1.23		,10)
				_SCREAMING_SNAKE_CASE     					=math.log(1.24		,10)
				_SCREAMING_SNAKE_CASE     					=0

				while position < number:
								_SCREAMING_SNAKE_CASE     					=log_difference(a__)

								if difference >= upper_limit:
												power_iterator += 93

								elif difference < lower_limit:
												power_iterator += 196

								else:
												_SCREAMING_SNAKE_CASE     					=power_iterator
												power_iterator += 196
												position += 1

				return previous_power


if __name__ == "__main__":
							import doctest

							doctest.testmod()

							print(f"""{solution() = }""")