




from collections import OrderedDict
from typing import Mapping

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


__SCREAMING_SNAKE_CASE     : str      =logging.get_logger(__name__)

__SCREAMING_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      (		lowerCamelCase_		):
     """simple docstring"""

     _snake_case:						List[str]  ="ernie"




     def __init__(     self	: Dict						,	A__	: Optional[int]=3_0_5_2_2						,	A__	: Tuple=7_6_8						,	A__	: Dict=1_2						,	A__	: Optional[int]=1_2						,	A__	: str=3_0_7_2						,	A__	: Dict="gelu"						,	A__	: List[Any]=0.1						,	A__	: str=0.1						,	A__	: Dict=5_1_2						,	A__	: List[str]=2						,	A__	: List[str]=3						,	A__	: str=False						,	A__	: Tuple=0.02						,	A__	: int=1E-12						,	A__	: List[Any]=0						,	A__	: Optional[int]="absolute"						,	A__	: Tuple=True						,	A__	: Optional[Any]=None						,	**A__	: int						,	)					->							int:
           super().__init__(pad_token_id=lowerCAmelCase_						,	**lowerCAmelCase_      )

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






class       A      (		lowerCamelCase_		):
     """simple docstring"""

     @property
     def 			__snake_case (     self	: Optional[Any]      )					->							Tuple:
           if self.task == "multiple-choice":
                 lowerCamelCase__   	=					{0: 'batch', 1: 'choice', 2: 'sequence'}
           else:
                 lowerCamelCase__   	=					{0: 'batch', 1: 'sequence'}
           return OrderedDict(
               [
                   ('input_ids', dynamic_axis),
                   ('attention_mask', dynamic_axis),
                   ('token_type_ids', dynamic_axis),
                   ('task_type_ids', dynamic_axis),
               ]      )
def 	__lowerCamelCase							(				__a    : float		)      ->       float:
	return -num if num < 0 else num

def 	__lowerCamelCase							(				__a    : list[int]		)      ->       int:
	if len(__a		) == 0:
		raise ValueError("abs_min() arg is an empty sequence"		)
	_lowercase   =x[0]
	for i in x:
		if abs_val(__a		) < abs_val(__a		):
			_lowercase   =i
	return j

def 	__lowerCamelCase							(				__a    : list[int]		)      ->       int:
	if len(__a		) == 0:
		raise ValueError("abs_max() arg is an empty sequence"		)
	_lowercase   =x[0]
	for i in x:
		if abs(__a		) > abs(__a		):
			_lowercase   =i
	return j

def 	__lowerCamelCase							(				__a    : list[int]		)      ->       int:
	if len(__a		) == 0:
		raise ValueError("abs_max_sort() arg is an empty sequence"		)
	return sorted(__a      ,							key=__a		)[-1]

def 	__lowerCamelCase							(				)      ->       Optional[Any]:
	assert abs_val(0		) == 0
	assert abs_val(34		) == 34
	assert abs_val(-100_000_000_000		) == 100_000_000_000

	_lowercase   =[-3, -1, 2, -11]
	assert abs_max(__a		) == -11
	assert abs_max_sort(__a		) == -11
	assert abs_min(__a		) == -1


if __name__ == "__main__":
						import doctest

						doctest.testmod()

						test_abs_val()
						print(abs_val(-3_4))  # --> 34




