'''simple docstring'''

def 			__UpperCamelCase       (   UpperCAmelCase		,     UpperCAmelCase		,     UpperCAmelCase=False     ):

 if isinstance(UpperCAmelCase		,     UpperCAmelCase     ) and isinstance(UpperCAmelCase		,     UpperCAmelCase     ):
  lowercase__				:    int  =					len(set_a.intersection(UpperCAmelCase     )     )

  if alternative_union:
   lowercase__				:    Dict  =					len(UpperCAmelCase     ) + len(UpperCAmelCase     )
  else:
   lowercase__				:    Optional[int]  =					len(set_a.union(UpperCAmelCase     )     )

  return intersection / union

 if isinstance(UpperCAmelCase		,     (list, tuple)     ) and isinstance(UpperCAmelCase		,     (list, tuple)     ):
  lowercase__				:    Tuple  =					[element for element in set_a if element in set_b]

  if alternative_union:
   lowercase__				:    List[str]  =					len(UpperCAmelCase     ) + len(UpperCAmelCase     )
   return len(UpperCAmelCase     ) / union
  else:
   lowercase__				:    List[str]  =					set_a + [element for element in set_b if element not in set_a]
   return len(UpperCAmelCase     ) / len(UpperCAmelCase     )

  return len(UpperCAmelCase     ) / len(UpperCAmelCase     )
 return None


if __name__ == "__main__":
  __a: Any          =   {"""a""", """b""", """c""", """d""", """e"""}
  __a: List[Any]          =   {"""c""", """d""", """e""", """f""", """h""", """i"""}
  print(jaccard_similarity(set_a, set_b))


'''simple docstring'''

from typing import TYPE_CHECKING

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


__a: Dict          =   {
    """configuration_ctrl""": ["""CTRL_PRETRAINED_CONFIG_ARCHIVE_MAP""", """CTRLConfig"""],
    """tokenization_ctrl""": ["""CTRLTokenizer"""],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  __a: int          =   [
      """CTRL_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """CTRLForSequenceClassification""",
      """CTRLLMHeadModel""",
      """CTRLModel""",
      """CTRLPreTrainedModel""",
  ]

try:
  if not is_tf_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  __a: int          =   [
      """TF_CTRL_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """TFCTRLForSequenceClassification""",
      """TFCTRLLMHeadModel""",
      """TFCTRLModel""",
      """TFCTRLPreTrainedModel""",
  ]


if TYPE_CHECKING:
  from .configuration_ctrl import CTRL_PRETRAINED_CONFIG_ARCHIVE_MAP, CTRLConfig
  from .tokenization_ctrl import CTRLTokenizer

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_ctrl import (
        CTRL_PRETRAINED_MODEL_ARCHIVE_LIST,
        CTRLForSequenceClassification,
        CTRLLMHeadModel,
        CTRLModel,
        CTRLPreTrainedModel,
    )

  try:
    if not is_tf_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_tf_ctrl import (
        TF_CTRL_PRETRAINED_MODEL_ARCHIVE_LIST,
        TFCTRLForSequenceClassification,
        TFCTRLLMHeadModel,
        TFCTRLModel,
        TFCTRLPreTrainedModel,
    )

else:
  import sys

  __a: Dict          =   _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

