






'''simple docstring'''





from collections import OrderedDict
from typing import Mapping

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


lowercase  :							Optional[Any]			  =    logging.get_logger(__name__)

lowercase  :							Optional[int]			  =    {
    '''YituTech/conv-bert-base''': '''https://huggingface.co/YituTech/conv-bert-base/resolve/main/config.json''',
    '''YituTech/conv-bert-medium-small''': (
        '''https://huggingface.co/YituTech/conv-bert-medium-small/resolve/main/config.json'''
    ),
    '''YituTech/conv-bert-small''': '''https://huggingface.co/YituTech/conv-bert-small/resolve/main/config.json''',
    # See all ConvBERT models at https://huggingface.co/models?filter=convbert
}




class 		UpperCAmelCase_						(	SCREAMING_SNAKE_CASE__					):


						'''simple docstring'''




						A     :   Optional[Any]						=					'convbert'






						def __init__(	self		,				_SCREAMING_SNAKE_CASE=3_0522		,				_SCREAMING_SNAKE_CASE=768		,				_SCREAMING_SNAKE_CASE=12		,				_SCREAMING_SNAKE_CASE=12		,				_SCREAMING_SNAKE_CASE=3072		,				_SCREAMING_SNAKE_CASE="gelu"		,				_SCREAMING_SNAKE_CASE=0.1		,				_SCREAMING_SNAKE_CASE=0.1		,				_SCREAMING_SNAKE_CASE=512		,				_SCREAMING_SNAKE_CASE=2		,				_SCREAMING_SNAKE_CASE=0.02		,				_SCREAMING_SNAKE_CASE=1e-12		,				_SCREAMING_SNAKE_CASE=1		,				_SCREAMING_SNAKE_CASE=0		,				_SCREAMING_SNAKE_CASE=2		,				_SCREAMING_SNAKE_CASE=768		,				_SCREAMING_SNAKE_CASE=2		,				_SCREAMING_SNAKE_CASE=9		,				_SCREAMING_SNAKE_CASE=1		,				_SCREAMING_SNAKE_CASE=None		,				**_SCREAMING_SNAKE_CASE		,				) ->				Dict:
								super().__init__(
								    pad_token_id=_SCREAMING_SNAKE_CASE		,				bos_token_id=_SCREAMING_SNAKE_CASE		,				eos_token_id=_SCREAMING_SNAKE_CASE		,				**_SCREAMING_SNAKE_CASE		,				)

								snake_case_				:							Optional[int]						 =       vocab_size
								snake_case_				:							str						 =       hidden_size
								snake_case_				:							int						 =       num_hidden_layers
								snake_case_				:							Optional[Any]						 =       num_attention_heads
								snake_case_				:							List[Any]						 =       intermediate_size
								snake_case_				:							List[Any]						 =       hidden_act
								snake_case_				:							Dict						 =       hidden_dropout_prob
								snake_case_				:							str						 =       attention_probs_dropout_prob
								snake_case_				:							Union[str, Any]						 =       max_position_embeddings
								snake_case_				:							List[str]						 =       type_vocab_size
								snake_case_				:							Any						 =       initializer_range
								snake_case_				:							Union[str, Any]						 =       layer_norm_eps
								snake_case_				:							List[Any]						 =       embedding_size
								snake_case_				:							Optional[Any]						 =       head_ratio
								snake_case_				:							Dict						 =       conv_kernel_size
								snake_case_				:							List[str]						 =       num_groups
								snake_case_				:							Any						 =       classifier_dropout




class 		UpperCAmelCase_						(	SCREAMING_SNAKE_CASE__					):


						'''simple docstring'''




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








def      lowerCAmelCase__	(    _a       :			str  ,      _a       :			int    ):
		# "extended trapezoidal rule"
		# int(f) = dx/2 * (f1 + 2f2 + ... + fn)
		snake_case_				:							Optional[Any]						 =       (boundary[1] - boundary[0]) / steps
		snake_case_				:							str						 =       boundary[0]
		snake_case_				:							Dict						 =       boundary[1]
		snake_case_				:							str						 =       make_points(_a  ,      _a  ,      _a    )
		snake_case_				:							str						 =       0.0
		y += (h / 2.0) * f(_a    )
		for i in x_i:
				# print(i)
				y += h * f(_a    )
		y += (h / 2.0) * f(_a    )
		return y

def      lowerCAmelCase__	(    _a       :			str  ,      _a       :			Optional[Any]  ,      _a       :			Tuple    ):
		snake_case_				:							Tuple						 =       a + h
		while x < (b - h):
				yield x
				snake_case_				:							List[str]						 =       x + h

def      lowerCAmelCase__	(    _a       :			Tuple    ):  # enter your function here
		snake_case_				:							Tuple						 =       (x - 0) * (x - 0)
		return y

def      lowerCAmelCase__	(    ):
		snake_case_				:							Union[str, Any]						 =       0.0  # Lower bound of integration
		snake_case_				:							List[Any]						 =       1.0  # Upper bound of integration
		snake_case_				:							Tuple						 =       10.0  # define number of steps or resolution
		snake_case_				:							List[Any]						 =       [a, b]  # define boundary of integration
		snake_case_				:							Any						 =       method_a(_a  ,      _a    )
		print(F'''y = {y}'''    )


if __name__ == "__main__":
							main()
