


'''simple docstring'''



class        UpperCAmelCase_  :





				"""simple docstring"""






				def __init__(							self     )    ->					Optional[int]:
									__lowerCamelCase       :     Union[str, Any]        =		[]
									__lowerCamelCase       :     Tuple        =		0
									__lowerCamelCase       :     Optional[Any]        =		0







				def __str__(							self     )    ->					Tuple:
									__lowerCamelCase       :     str        =		'<' + str(self.entries     )[1:-1] + '>'
									return printed







				def 				lowercase_    (							self      ,					SCREAMING_SNAKE_CASE_     )    ->					int:
									self.entries.append(__UpperCamelCase     )
									__lowerCamelCase       :     Any        =		self.length + 1







				def 				lowercase_    (							self     )    ->					List[Any]:
									__lowerCamelCase       :     Optional[int]        =		self.length - 1
									__lowerCamelCase       :     Dict        =		self.entries[self.front]
									# self.front-=1
									# self.entries = self.entries[self.front:]
									__lowerCamelCase       :     Any        =		self.entries[1:]
									return dequeued







				def 				lowercase_    (							self      ,					SCREAMING_SNAKE_CASE_     )    ->					Optional[Any]:







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







				def 				lowercase_    (							self     )    ->					List[str]:
									return self.entries[0]







				def 				lowercase_    (							self     )    ->					str:
									return self.length










'''simple docstring'''



from typing import TYPE_CHECKING

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


A__		: str												=  {"""configuration_hubert""": ["""HUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """HubertConfig"""]}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      A__		: List[str]												=  [
          """HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST""",
          """HubertForCTC""",
          """HubertForSequenceClassification""",
          """HubertModel""",
          """HubertPreTrainedModel""",
      ]


try:
      if not is_tf_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      A__		: Optional[int]												=  [
          """TF_HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST""",
          """TFHubertForCTC""",
          """TFHubertModel""",
          """TFHubertPreTrainedModel""",
      ]

if TYPE_CHECKING:
      from .configuration_hubert import HUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, HubertConfig

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_hubert import (
                HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
                HubertForCTC,
                HubertForSequenceClassification,
                HubertModel,
                HubertPreTrainedModel,
            )

      try:
            if not is_tf_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_tf_hubert import (
                TF_HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
                TFHubertForCTC,
                TFHubertModel,
                TFHubertPreTrainedModel,
            )


else:
      import sys

      A__		: Optional[int]												=  _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)






