




from __future__ import annotations

from typing import Any

class 		lowercase_       :




					def __init__(   self:		Union[str, Any],     _lowercase:		Any,     _lowercase:		Any):  # noqa: A002


									'''simple docstring'''


									__lowerCAmelCase					=  item
									__lowerCAmelCase					=  next





class 		lowercase_       :




					def __init__(   self:		str):


									'''simple docstring'''


									__lowerCAmelCase					=  None
									__lowerCAmelCase					=  0




					def     _lowercase						(   self:		Dict,     _lowercase:		Any):


									'''simple docstring'''


									__lowerCAmelCase					=  Node(_lowercase,     self.head)
									self.size += 1




					def     _lowercase						(   self:		Optional[Any]):


									'''simple docstring'''


									if self.head is None:
													return None
									else:
													__lowerCAmelCase					=  self.head.item
													__lowerCAmelCase					=  self.head.next
													self.size -= 1
													return item




					def     _lowercase						(   self:		str):


									'''simple docstring'''


									return self.head is None




					def __str__(   self:		Dict):


									'''simple docstring'''


									if self.is_empty():
													return ""
									else:
													__lowerCAmelCase					=  self.head
													__lowerCAmelCase					=  """"""
													__lowerCAmelCase					=  []
													while iterate:
																	item_list.append(str(iterate.item))
																	__lowerCAmelCase					=  iterate.next

													__lowerCAmelCase					=  """ --> """.join(_lowercase)

													return item_str







					def __len__(   self:		str):


									'''simple docstring'''


									return self.size











from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available, is_torch_available


UpperCAmelCase__    :							List[str]       		=     {
    'configuration_ernie_m': ['ERNIE_M_PRETRAINED_CONFIG_ARCHIVE_MAP', 'ErnieMConfig'],
}

try:
   if not is_sentencepiece_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCAmelCase__    :							Any       		=     ['ErnieMTokenizer']

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCAmelCase__    :							Dict       		=     [
       'ERNIE_M_PRETRAINED_MODEL_ARCHIVE_LIST',
       'ErnieMForMultipleChoice',
       'ErnieMForQuestionAnswering',
       'ErnieMForSequenceClassification',
       'ErnieMForTokenClassification',
       'ErnieMModel',
       'ErnieMPreTrainedModel',
       'ErnieMForInformationExtraction',
   ]


if TYPE_CHECKING:
   from .configuration_ernie_m import ERNIE_M_PRETRAINED_CONFIG_ARCHIVE_MAP, ErnieMConfig

   try:
      if not is_sentencepiece_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_ernie_m import ErnieMTokenizer

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_ernie_m import (
          ERNIE_M_PRETRAINED_MODEL_ARCHIVE_LIST,
          ErnieMForInformationExtraction,
          ErnieMForMultipleChoice,
          ErnieMForQuestionAnswering,
          ErnieMForSequenceClassification,
          ErnieMForTokenClassification,
          ErnieMModel,
          ErnieMPreTrainedModel,
      )


else:
   import sys

   UpperCAmelCase__    :							List[Any]       		=     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
