



"""simple docstring"""







def     UpperCamelCase_   (   lowerCAmelCase__				:    Optional[Any]						)						->       Any:

  """simple docstring"""




  lowerCAmelCase_       :    List[str]								=			len(__a						)
  lowerCAmelCase_       :    List[str]								=			sum(__a						)

  lowerCAmelCase_       :    Dict								=			[[False for x in range(s + 1						)] for y in range(n + 1						)]

  for i in range(1   ,       n + 1						):
    lowerCAmelCase_       :    Union[str, Any]								=			True

  for i in range(1   ,       s + 1						):
    lowerCAmelCase_       :    List[Any]								=			False

  for i in range(1   ,       n + 1						):
    for j in range(1   ,       s + 1						):
      lowerCAmelCase_       :    List[Any]								=			dp[i][j - 1]

      if arr[i - 1] <= j:
        lowerCAmelCase_       :    Tuple								=			dp[i][j] or dp[i - 1][j - arr[i - 1]]

  for j in range(int(s / 2						)   ,       -1   ,       -1						):
    if dp[n][j] is True:
      lowerCAmelCase_       :    Optional[int]								=			s - 2 * j
      break

  return diff










"""simple docstring"""







from typing import TYPE_CHECKING

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


lowercase__		:    Optional[int]				   =     {
    """configuration_trocr""": ["""TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP""", """TrOCRConfig"""],
    """processing_trocr""": ["""TrOCRProcessor"""],
}


try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowercase__		:    Dict				   =     [
         """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

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





