




from __future__ import annotations

from typing import Generic, TypeVar

lowercase__    :					List[str]					=						TypeVar("T")
class 		UpperCAmelCase       (    UpperCAmelCase__      ):







						'''simple docstring'''





						pass







class 		UpperCAmelCase       (    UpperCAmelCase__      ):







						'''simple docstring'''





						pass







class 		UpperCAmelCase       (    Generic[T]      ):







						'''simple docstring'''





						def __init__(						self							:					int	,     __lowercase							:					int = 10						):






							"""simple docstring"""






							snake_case_		   =					[]
							snake_case_		   =					limit






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






							"""simple docstring"""






							return bool(self.stack						)






						def __str__(						self							:					Any						):






							"""simple docstring"""






							return str(self.stack						)






						def 	snake_case__						(						self							:					str	,     __lowercase							:					T						):






							"""simple docstring"""






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






						def 	snake_case__						(						self							:					List[Any]						):






							"""simple docstring"""






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






						def 	snake_case__						(						self							:					Tuple						):






							"""simple docstring"""






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






						def 	snake_case__						(						self							:					List[Any]						):






							"""simple docstring"""






							return not bool(self.stack						)






						def 	snake_case__						(						self							:					List[str]						):






							"""simple docstring"""






							return self.size() == self.limit






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






							"""simple docstring"""






							return len(self.stack						)






						def __contains__(						self							:					int	,     __lowercase							:					T						):






							"""simple docstring"""






							return item in self.stack







def 						lowerCamelCase__   (		):







	'''simple docstring'''





	snake_case_		   =					Stack(10							)
	assert bool(_A							) is False
	assert stack.is_empty() is True
	assert stack.is_full() is False
	assert str(_A							) == "[]"

	try:
		snake_case_		   =					stack.pop()
		raise AssertionError  # This should not happen
	except StackUnderflowError:
		assert True  # This should happen

	try:
		snake_case_		   =					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 typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available, is_torch_available


lowercase__    :					List[str]					=						{
    "configuration_xlm_prophetnet": ["XLM_PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "XLMProphetNetConfig"],
}

try:
		if not is_sentencepiece_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase__    :					Optional[Any]					=						["XLMProphetNetTokenizer"]

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase__    :					List[Any]					=						[
		    "XLM_PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST",
		    "XLMProphetNetDecoder",
		    "XLMProphetNetEncoder",
		    "XLMProphetNetForCausalLM",
		    "XLMProphetNetForConditionalGeneration",
		    "XLMProphetNetModel",
		    "XLMProphetNetPreTrainedModel",
		]


if TYPE_CHECKING:
		from .configuration_xlm_prophetnet import XLM_PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP, XLMProphetNetConfig

		try:
				if not is_sentencepiece_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .tokenization_xlm_prophetnet import XLMProphetNetTokenizer

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_xlm_prophetnet import (
				    XLM_PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST,
				    XLMProphetNetDecoder,
				    XLMProphetNetEncoder,
				    XLMProphetNetForCausalLM,
				    XLMProphetNetForConditionalGeneration,
				    XLMProphetNetModel,
				    XLMProphetNetPreTrainedModel,
				)

else:
		import sys

		lowercase__    :					Any					=						_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
