






from __future__ import annotations

from typing import Generic, TypeVar

a    =       TypeVar('T')
class        __snake_case(					__UpperCamelCase      ):
	pass
class        __snake_case(					__UpperCamelCase      ):
	pass
class        __snake_case(					Generic[T]      ):



	def __init__(	self   :   Any ,		UpperCAmelCase__   :   int = 10	):

				"""simple docstring"""






				lowercase__						:	list[T]         = []
				lowercase__						:	List[str]         = limit



	def __bool__(	self   :   Optional[int]	):

				"""simple docstring"""






				return bool(self.stack	)



	def __str__(	self   :   Union[str, Any]	):

				"""simple docstring"""






				return str(self.stack	)



	def 						UpperCAmelCase    (	self   :   List[Any] ,		UpperCAmelCase__   :   T	):

				"""simple docstring"""






				if len(self.stack	) >= self.limit:
							raise StackOverflowError
				self.stack.append(UpperCAmelCase__	)



	def 						UpperCAmelCase    (	self   :   Any	):

				"""simple docstring"""






				if not self.stack:
							raise StackUnderflowError
				return self.stack.pop()



	def 						UpperCAmelCase    (	self   :   int	):

				"""simple docstring"""






				if not self.stack:
							raise StackUnderflowError
				return self.stack[-1]



	def 						UpperCAmelCase    (	self   :   str	):

				"""simple docstring"""






				return not bool(self.stack	)



	def 						UpperCAmelCase    (	self   :   Dict	):

				"""simple docstring"""






				return self.size() == self.limit



	def 						UpperCAmelCase    (	self   :   List[str]	):

				"""simple docstring"""






				return len(self.stack	)







	def __contains__(	self   :   Optional[int] ,		UpperCAmelCase__   :   T	):

				"""simple docstring"""






				return item in self.stack
def       a__						(  ):
			lowercase__						:	Stack[int]         = Stack(10					)
			assert bool(A					) is False
			assert stack.is_empty() is True
			assert stack.is_full() is False
			assert str(A					) == "[]"

			try:
						lowercase__						:	Optional[Any]         = stack.pop()
						raise AssertionError  # This should not happen
			except StackUnderflowError:
						assert True  # This should happen

			try:
						lowercase__						:	Dict         = stack.peek()
						raise AssertionError  # This should not happen
			except StackUnderflowError:
						assert True  # This should happen

			for i in range(10					):
						assert stack.size() == i
						stack.push(A					)

			assert bool(A					)
			assert not stack.is_empty()
			assert stack.is_full()
			assert str(A					) == str(list(range(10					)					)					)
			assert stack.pop() == 9
			assert stack.peek() == 8

			stack.push(100					)
			assert str(A					) == str([0, 1, 2, 3, 4, 5, 6, 7, 8, 100]					)

			try:
						stack.push(200					)
						raise AssertionError  # This should not happen
			except StackOverflowError:
						assert True  # This should happen

			assert not stack.is_empty()
			assert stack.size() == 10

			assert 5 in stack
			assert 55 not in stack


if __name__ == "__main__":
	test_stack()










from collections import OrderedDict
from typing import Mapping

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


a    =       logging.get_logger(__name__)

a    =       {
    '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        __snake_case(					__UpperCamelCase      ):
 lowercase :       Dict		      =		'''ernie'''



 def __init__(	self   :   Tuple ,		UpperCAmelCase__   :   int=30_522 ,		UpperCAmelCase__   :   List[str]=768 ,		UpperCAmelCase__   :   Tuple=12 ,		UpperCAmelCase__   :   Optional[int]=12 ,		UpperCAmelCase__   :   Any=3_072 ,		UpperCAmelCase__   :   Tuple="gelu" ,		UpperCAmelCase__   :   Union[str, Any]=0.1 ,		UpperCAmelCase__   :   str=0.1 ,		UpperCAmelCase__   :   List[str]=512 ,		UpperCAmelCase__   :   str=2 ,		UpperCAmelCase__   :   Optional[int]=3 ,		UpperCAmelCase__   :   Dict=False ,		UpperCAmelCase__   :   Any=0.02 ,		UpperCAmelCase__   :   Any=1e-12 ,		UpperCAmelCase__   :   str=0 ,		UpperCAmelCase__   :   Any="absolute" ,		UpperCAmelCase__   :   List[str]=True ,		UpperCAmelCase__   :   Tuple=None ,		**UpperCAmelCase__   :   Dict ,		):

    """simple docstring"""






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

    lowercase__						:	List[str]         = vocab_size
    lowercase__						:	Optional[int]         = hidden_size
    lowercase__						:	Union[str, Any]         = num_hidden_layers
    lowercase__						:	Any         = num_attention_heads
    lowercase__						:	Optional[int]         = hidden_act
    lowercase__						:	str         = intermediate_size
    lowercase__						:	Tuple         = hidden_dropout_prob
    lowercase__						:	Tuple         = attention_probs_dropout_prob
    lowercase__						:	str         = max_position_embeddings
    lowercase__						:	List[Any]         = type_vocab_size
    lowercase__						:	Any         = task_type_vocab_size
    lowercase__						:	Optional[Any]         = use_task_id
    lowercase__						:	Optional[Any]         = initializer_range
    lowercase__						:	Union[str, Any]         = layer_norm_eps
    lowercase__						:	Dict         = position_embedding_type
    lowercase__						:	Union[str, Any]         = use_cache
    lowercase__						:	int         = classifier_dropout
class        __snake_case(					__UpperCamelCase      ):



 @property
 def 						UpperCAmelCase    (	self   :   List[Any]	):

    """simple docstring"""






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


