




'''simple docstring'''





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase__								=						{'''configuration_qdqbert''': ['''QDQBERT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''QDQBertConfig''']}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       lowercase__								=						[
           '''QDQBERT_PRETRAINED_MODEL_ARCHIVE_LIST''',
           '''QDQBertForMaskedLM''',
           '''QDQBertForMultipleChoice''',
           '''QDQBertForNextSentencePrediction''',
           '''QDQBertForQuestionAnswering''',
           '''QDQBertForSequenceClassification''',
           '''QDQBertForTokenClassification''',
           '''QDQBertLayer''',
           '''QDQBertLMHeadModel''',
           '''QDQBertModel''',
           '''QDQBertPreTrainedModel''',
           '''load_tf_weights_in_qdqbert''',
       ]


if TYPE_CHECKING:
       from .configuration_qdqbert import QDQBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, QDQBertConfig

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_qdqbert import (
                  QDQBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
                  QDQBertForMaskedLM,
                  QDQBertForMultipleChoice,
                  QDQBertForNextSentencePrediction,
                  QDQBertForQuestionAnswering,
                  QDQBertForSequenceClassification,
                  QDQBertForTokenClassification,
                  QDQBertLayer,
                  QDQBertLMHeadModel,
                  QDQBertModel,
                  QDQBertPreTrainedModel,
                  load_tf_weights_in_qdqbert,
              )


else:
       import sys

       lowercase__								=						_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)







'''simple docstring'''

class __magic_name__:






						def __init__(   self						:						List[Any]       ):



									'''simple docstring'''






									snake_case__          =						[]
									snake_case__          =						0
									snake_case__          =						0






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



									'''simple docstring'''






									snake_case__          =						"""<""" + str(self.entries       )[1:-1] + """>"""
									return printed






						def       __lowerCAmelCase(   self						:						List[Any]					,   __UpperCamelCase						:						List[Any]       ):



									'''simple docstring'''






									self.entries.append(__UpperCamelCase       )
									snake_case__          =						self.length + 1






						def       __lowerCAmelCase(   self						:						int       ):



									'''simple docstring'''






									snake_case__          =						self.length - 1
									snake_case__          =						self.entries[self.front]
									# self.front-=1
									# self.entries = self.entries[self.front:]
									snake_case__          =						self.entries[1:]
									return dequeued






						def       __lowerCAmelCase(   self						:						str					,   __UpperCamelCase						:						Optional[Any]       ):



									'''simple docstring'''






									for _ in range(__UpperCamelCase       ):
												self.put(self.get()       )






						def       __lowerCAmelCase(   self						:						List[Any]       ):



									'''simple docstring'''






									return self.entries[0]






						def       __lowerCAmelCase(   self						:						str       ):



									'''simple docstring'''






									return self.length