






from typing import TYPE_CHECKING

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


_a    :   List[str]        =			{
    "configuration_ctrl": ["CTRL_PRETRAINED_CONFIG_ARCHIVE_MAP", "CTRLConfig"],
    "tokenization_ctrl": ["CTRLTokenizer"],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 _a    :   Union[str, Any]        =			[
     "CTRL_PRETRAINED_MODEL_ARCHIVE_LIST",
     "CTRLForSequenceClassification",
     "CTRLLMHeadModel",
     "CTRLModel",
     "CTRLPreTrainedModel",
 ]

try:
 if not is_tf_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 _a    :   Any        =			[
     "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    :   Union[str, Any]        =			_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)









def 				snake_case__							(							UpperCAmelCase							:  float       ):

    if edge <= 0 or not isinstance(UpperCAmelCase    ,			UpperCAmelCase       ):
        raise ValueError("Length must be a positive."       )
    return 3 * ((2_5 + 1_0 * (5 ** (1 / 2))) ** (1 / 2)) * (edge**2)


def 				snake_case__							(							UpperCAmelCase							:  float       ):

    if edge <= 0 or not isinstance(UpperCAmelCase    ,			UpperCAmelCase       ):
        raise ValueError("Length must be a positive."       )
    return ((1_5 + (7 * (5 ** (1 / 2)))) / 4) * (edge**3)


if __name__ == "__main__":
 import doctest

 doctest.testmod()



