






"""simple docstring"""



from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


_lowerCAmelCase	:	Tuple				=      {
    """configuration_blenderbot_small""": [
        """BLENDERBOT_SMALL_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """BlenderbotSmallConfig""",
        """BlenderbotSmallOnnxConfig""",
    ],
    """tokenization_blenderbot_small""": ["""BlenderbotSmallTokenizer"""],
}

try:
 if not is_tokenizers_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 _lowerCAmelCase	:	List[Any]				=      ["""BlenderbotSmallTokenizerFast"""]

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 _lowerCAmelCase	:	Dict				=      [
     """BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST""",
     """BlenderbotSmallForCausalLM""",
     """BlenderbotSmallForConditionalGeneration""",
     """BlenderbotSmallModel""",
     """BlenderbotSmallPreTrainedModel""",
 ]

try:
 if not is_tf_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 _lowerCAmelCase	:	str				=      [
     """TFBlenderbotSmallForConditionalGeneration""",
     """TFBlenderbotSmallModel""",
     """TFBlenderbotSmallPreTrainedModel""",
 ]

try:
 if not is_flax_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 _lowerCAmelCase	:	Optional[int]				=      [
     """FlaxBlenderbotSmallForConditionalGeneration""",
     """FlaxBlenderbotSmallModel""",
     """FlaxBlenderbotSmallPreTrainedModel""",
 ]

if TYPE_CHECKING:
 from .configuration_blenderbot_small import (
     BLENDERBOT_SMALL_PRETRAINED_CONFIG_ARCHIVE_MAP,
     BlenderbotSmallConfig,
     BlenderbotSmallOnnxConfig,
 )
 from .tokenization_blenderbot_small import BlenderbotSmallTokenizer

 try:
  if not is_tokenizers_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .tokenization_blenderbot_small_fast import BlenderbotSmallTokenizerFast

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_blenderbot_small import (
      BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST,
      BlenderbotSmallForCausalLM,
      BlenderbotSmallForConditionalGeneration,
      BlenderbotSmallModel,
      BlenderbotSmallPreTrainedModel,
  )

 try:
  if not is_tf_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_tf_blenderbot_small import (
      TFBlenderbotSmallForConditionalGeneration,
      TFBlenderbotSmallModel,
      TFBlenderbotSmallPreTrainedModel,
  )

 try:
  if not is_flax_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_flax_blenderbot_small import (
      FlaxBlenderbotSmallForConditionalGeneration,
      FlaxBlenderbotSmallModel,
      FlaxBlenderbotSmallPreTrainedModel,
  )

else:
 import sys

 _lowerCAmelCase	:	str				=      _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)










"""simple docstring"""



import os


def 	SCREAMING_SNAKE_CASE__       (  )->		Optional[Any]:






     '''simple docstring'''



     with open(os.path.dirname(snake_case				) + "/p022_names.txt"				) as file:
          UpperCAmelCase__						:    Tuple							=							str(file.readlines()[0]				)
          UpperCAmelCase__						:    str							=							names.replace("\""			,					""				).split(","				)

     names.sort()

     UpperCAmelCase__						:    Optional[int]							=							0
     UpperCAmelCase__						:    List[str]							=							0

     for i, name in enumerate(snake_case				):
          for letter in name:
               name_score += ord(snake_case				) - 64

          total_score += (i + 1) * name_score
          UpperCAmelCase__						:    Optional[int]							=							0
     return total_score


if __name__ == "__main__":
 print(solution())


