


class       __magic_name__	:


     def __init__(      self							:     List[str]							,	lowerCamelCase__							:     List[Any]			)  ->      Tuple:





      '''simple docstring'''






      UpperCamelCase__					:    List[str]          =   n
      UpperCamelCase__					:    Any          =   [None] * self.n
      UpperCamelCase__					:    Dict          =   0  # index of the first element
      UpperCamelCase__					:    Union[str, Any]          =   0
      UpperCamelCase__					:    Dict          =   0


     def __len__(      self							:     List[str]			)  ->      Any:





      '''simple docstring'''






      return self.size


     def      UpperCAmelCase__	(      self							:     Optional[int]			)  ->      Optional[Any]:





      '''simple docstring'''






      return self.size == 0


     def      UpperCAmelCase__	(      self							:     List[str]			)  ->      List[Any]:





      '''simple docstring'''






      return False if self.is_empty() else self.array[self.front]


     def      UpperCAmelCase__	(      self							:     Tuple							,	lowerCamelCase__							:     List[Any]			)  ->      Any:





      '''simple docstring'''






      if self.size >= self.n:
       raise Exception('''QUEUE IS FULL'''			)

      UpperCamelCase__					:    Optional[Any]          =   data
      UpperCamelCase__					:    Optional[int]          =   (self.rear + 1) % self.n
      self.size += 1
      return self


     def      UpperCAmelCase__	(      self							:     List[str]			)  ->      Any:





      '''simple docstring'''






      if self.size == 0:
       raise Exception('''UNDERFLOW'''			)

      UpperCamelCase__					:    Optional[Any]          =   self.array[self.front]
      UpperCamelCase__					:    List[str]          =   None
      UpperCamelCase__					:    Optional[int]          =   (self.front + 1) % self.n
      self.size -= 1
      return temp






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_speech_available,
    is_torch_available,
)


__UpperCamelCase       :       Dict						       =				{
    "configuration_trocr": ["TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP", "TrOCRConfig"],
    "processing_trocr": ["TrOCRProcessor"],
}


try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __UpperCamelCase       :       Optional[int]						       =				[
           "TROCR_PRETRAINED_MODEL_ARCHIVE_LIST",
           "TrOCRForCausalLM",
           "TrOCRPreTrainedModel",
       ]


if TYPE_CHECKING:
       from .configuration_trocr import TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP, TrOCRConfig
       from .processing_trocr import TrOCRProcessor

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_trocr import TROCR_PRETRAINED_MODEL_ARCHIVE_LIST, TrOCRForCausalLM, TrOCRPreTrainedModel

else:
       import sys

       __UpperCamelCase       :       Tuple						       =				_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)


